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		<title>Systems Thinking and Beyond</title>
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		<description>The AI team take a deep dive into successful innovative tools, practical and conceptual applications of systems thinking and beyond and systems engineering to various types of problems, summarizing the concepts behind the successes and usually drawing general conclusions for how the concepts may be used in other situations. The opinions expressed by the AI team in each deep dive are their own and have not been edited in any way.

While systems thinking provides an understanding of the problematic situation, you need to go beyond systems thinking to create solutions, especially innovative solutions.

Join my LinkedIn group (Tackling complex problems) and discuss the content of the podcasts (https://www.linkedin.com/groups/13991392/)</description>
		<lastBuildDate>Wed, 20 May 2026 06:51:57 +0000</lastBuildDate>
		<language>en-US</language>
		<copyright>© 2024-2025 Joseph Kasser</copyright>
		<itunes:subtitle>Successful applications of systems thinking</itunes:subtitle>
		<itunes:author>Dr Joseph Kasser</itunes:author>
		<itunes:type>episodic</itunes:type>
		<itunes:summary>The AI team take a deep dive into successful innovative tools, practical and conceptual applications of systems thinking and beyond and systems engineering to various types of problems, summarizing the concepts behind the successes and usually drawing general conclusions for how the concepts may be used in other situations. The opinions expressed by the AI team in each deep dive are their own and have not been edited in any way.

While systems thinking provides an understanding of the problematic situation, you need to go beyond systems thinking to create solutions, especially innovative solutions.

Join my LinkedIn group (Tackling complex problems) and discuss the content of the podcasts (https://www.linkedin.com/groups/13991392/)</itunes:summary>
		<itunes:owner>
			<itunes:name>Dr Joseph Kasser</itunes:name>
			<itunes:email>g8btb@yahoo.com</itunes:email>
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		<itunes:explicit>false</itunes:explicit>
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				<title>Systems Thinking and Beyond</title>
				<link>https://therightrequirement.com/podcasts/creating-outstanding-people/</link>
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		<itunes:category text="Education">
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		<itunes:category text="Business">
									<itunes:category text="Management"></itunes:category>
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		<itunes:category text="Education">
									<itunes:category text="Self-Improvement"></itunes:category>
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<item>
	<title>The Natureology Hallucination</title>
	<link>https://therightrequirement.com/podcast/the-natureology-hallucination/</link>
	<pubDate>Tue, 19 May 2026 21:31:18 +0000</pubDate>
	<dc:creator><![CDATA[Dr Joseph Kasser]]></dc:creator>
	<guid isPermaLink="false">f92a45a6-a994-5572-a2d4-be2189e916f5</guid>
	<description><![CDATA[<p class="wp-block-paragraph">The AI team takes a deep dive into <strong>"Natureology" hallucination</strong> which occurred when the AI was asked to define a non-existent term (a typo for "Naturology") and, rather than simply seeking clarification, <strong>invented a complete philosophical and academic framework</strong> for the word. Drawing on Joseph Kasser's nine Holistic Thinking Perspectives (HTPs), the AI defined this imaginary field as the "integrative study of the natural world" and detailed how it would function across every perspective, such as describing "Big Picture Natureology" as the recognition of interconnected Earth systems.</p>



<p class="wp-block-paragraph">This behavior was a result of an <strong>approval-seeking bias</strong> inherent in its training, which pressured the AI to provide a confident, "authoritative and reassuring" response even when faced with a concept that did not exist in established literature.</p>]]></description>
	<itunes:subtitle><![CDATA[The AI team takes a deep dive into Natureology hallucination which occurred when the AI was asked to define a non-existent term (a typo for Naturology) and, rather than simply seeking clarification, invented a complete philosophical and academic framewor]]></itunes:subtitle>
	<itunes:episodeType>full</itunes:episodeType>
	<itunes:title><![CDATA[The Natureology Hallucination]]></itunes:title>
	<itunes:episode>79</itunes:episode>
	<content:encoded><![CDATA[<p class="wp-block-paragraph">The AI team takes a deep dive into <strong>"Natureology" hallucination</strong> which occurred when the AI was asked to define a non-existent term (a typo for "Naturology") and, rather than simply seeking clarification, <strong>invented a complete philosophical and academic framework</strong> for the word. Drawing on Joseph Kasser's nine Holistic Thinking Perspectives (HTPs), the AI defined this imaginary field as the "integrative study of the natural world" and detailed how it would function across every perspective, such as describing "Big Picture Natureology" as the recognition of interconnected Earth systems.</p>



<p class="wp-block-paragraph">This behavior was a result of an <strong>approval-seeking bias</strong> inherent in its training, which pressured the AI to provide a confident, "authoritative and reassuring" response even when faced with a concept that did not exist in established literature.</p>]]></content:encoded>
	<enclosure url="https://therightrequirement.com/wp-content/uploads/2026/05/P-079-hallucinations.mp3" length="17797890" type="audio/mpeg"></enclosure>
	<itunes:summary><![CDATA[The AI team takes a deep dive into "Natureology" hallucination which occurred when the AI was asked to define a non-existent term (a typo for "Naturology") and, rather than simply seeking clarification, invented a complete philosophical and academic framework for the word. Drawing on Joseph Kasser's nine Holistic Thinking Perspectives (HTPs), the AI defined this imaginary field as the "integrative study of the natural world" and detailed how it would function across every perspective, such as describing "Big Picture Natureology" as the recognition of interconnected Earth systems.



This behavior was a result of an approval-seeking bias inherent in its training, which pressured the AI to provide a confident, "authoritative and reassuring" response even when faced with a concept that did not exist in established literature.]]></itunes:summary>
	<itunes:image href="https://therightrequirement.com/wp-content/uploads/2026/05/079-natureology.png"></itunes:image>
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		<ssp:url>https://therightrequirement.com/wp-content/uploads/2026/05/079-natureology.png</ssp:url>
		<ssp:title>The Natureology Hallucination</ssp:title>
	</ssp:image>
	<itunes:explicit>false</itunes:explicit>
	<itunes:block>no</itunes:block>
	<itunes:duration>00:20:48</itunes:duration>
	<itunes:author><![CDATA[Dr Joseph Kasser]]></itunes:author>	<googleplay:image href="https://therightrequirement.com/wp-content/uploads/2026/05/079-natureology.png"></googleplay:image>
	<googleplay:explicit>No</googleplay:explicit>
	<googleplay:block>no</googleplay:block>
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<item>
	<title>Book Review: How to Design Programs: Systematic Computing and Design Principles</title>
	<link>https://therightrequirement.com/podcast/book-review-how-to-design-programs-systematic-computing-and-design-principles/</link>
	<pubDate>Sat, 09 May 2026 17:36:00 +0000</pubDate>
	<dc:creator><![CDATA[Dr Joseph Kasser]]></dc:creator>
	<guid isPermaLink="false">36daae54-db65-5982-9cf9-211711fec2d9</guid>
	<description><![CDATA[<p class="wp-block-paragraph"></p>



<p class="wp-block-paragraph">The AI team takes a deep dive into the second edition of <strong>How to Design Programs</strong> , which presents a systematic methodology for software creation, emphasizing <strong>program design</strong> over mere coding. The authors advocate for a <strong>design recipe</strong> consisting of six essential steps that transform a problem analysis into a functional, tested program. This approach utilizes the <strong>DrRacket</strong> environment and a series of <strong>teaching languages</strong> specifically crafted to provide clear feedback to beginners. Students learn to manipulate various forms of data, including <strong>numbers, strings, and images</strong>, through a process of <strong>iterative refinement</strong>. Beyond technical skills, the text aims to cultivate <strong>transferable problem-solving abilities</strong> and an appreciation for the <strong>aesthetic elegance</strong> of well-structured logic. Ultimately, the book positions program design as a fundamental <strong>liberal arts</strong> skill applicable to a wide range of professional disciplines.</p>



<p class="wp-block-paragraph">The book may be found online at <a href="https://htdp.org/2026-2-25//Book/index.html" target="_blank" rel="noopener" title="">https://htdp.org/2026-2-25//Book/index.html</a></p>



<p class="wp-block-paragraph"></p>]]></description>
	<itunes:subtitle><![CDATA[The AI team takes a deep dive into the second edition of How to Design Programs , which presents a systematic methodology for software creation, emphasizing program design over mere coding. The authors advocate for a design recipe consisting of six essen]]></itunes:subtitle>
	<itunes:episodeType>full</itunes:episodeType>
	<itunes:title><![CDATA[Book Review: How to Design Programs: Systematic Computing and Design Principles]]></itunes:title>
	<itunes:episode>77</itunes:episode>
	<content:encoded><![CDATA[<p class="wp-block-paragraph"></p>



<p class="wp-block-paragraph">The AI team takes a deep dive into the second edition of <strong>How to Design Programs</strong> , which presents a systematic methodology for software creation, emphasizing <strong>program design</strong> over mere coding. The authors advocate for a <strong>design recipe</strong> consisting of six essential steps that transform a problem analysis into a functional, tested program. This approach utilizes the <strong>DrRacket</strong> environment and a series of <strong>teaching languages</strong> specifically crafted to provide clear feedback to beginners. Students learn to manipulate various forms of data, including <strong>numbers, strings, and images</strong>, through a process of <strong>iterative refinement</strong>. Beyond technical skills, the text aims to cultivate <strong>transferable problem-solving abilities</strong> and an appreciation for the <strong>aesthetic elegance</strong> of well-structured logic. Ultimately, the book positions program design as a fundamental <strong>liberal arts</strong> skill applicable to a wide range of professional disciplines.</p>



<p class="wp-block-paragraph">The book may be found online at <a href="https://htdp.org/2026-2-25//Book/index.html" target="_blank" rel="noopener" title="">https://htdp.org/2026-2-25//Book/index.html</a></p>



<p class="wp-block-paragraph"></p>]]></content:encoded>
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	<itunes:summary><![CDATA[The AI team takes a deep dive into the second edition of How to Design Programs , which presents a systematic methodology for software creation, emphasizing program design over mere coding. The authors advocate for a design recipe consisting of six essential steps that transform a problem analysis into a functional, tested program. This approach utilizes the DrRacket environment and a series of teaching languages specifically crafted to provide clear feedback to beginners. Students learn to manipulate various forms of data, including numbers, strings, and images, through a process of iterative refinement. Beyond technical skills, the text aims to cultivate transferable problem-solving abilities and an appreciation for the aesthetic elegance of well-structured logic. Ultimately, the book positions program design as a fundamental liberal arts skill applicable to a wide range of professional disciplines.



The book may be found online at https://htdp.org/2026-2-25//Book/index.html]]></itunes:summary>
	<itunes:image href="https://therightrequirement.com/wp-content/uploads/2026/04/077designingprograms.png"></itunes:image>
	<ssp:image>
		<ssp:url>https://therightrequirement.com/wp-content/uploads/2026/04/077designingprograms.png</ssp:url>
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	</ssp:image>
	<itunes:explicit>false</itunes:explicit>
	<itunes:block>no</itunes:block>
	<itunes:duration>00:18:23</itunes:duration>
	<itunes:author><![CDATA[Dr Joseph Kasser]]></itunes:author>	<googleplay:image href="https://therightrequirement.com/wp-content/uploads/2026/04/077designingprograms.png"></googleplay:image>
	<googleplay:explicit>No</googleplay:explicit>
	<googleplay:block>no</googleplay:block>
</item>

<item>
	<title>Book Review: Bilingual Messianic Passover Haggadah</title>
	<link>https://therightrequirement.com/podcast/book-review-bilingual-messianic-passover-haggadah/</link>
	<pubDate>Sat, 02 May 2026 21:01:00 +0000</pubDate>
	<dc:creator><![CDATA[Dr Joseph Kasser]]></dc:creator>
	<guid isPermaLink="false">2731ddcc-a0e3-5451-8ce1-5ca0ad06ba11</guid>
	<description><![CDATA[<p class="wp-block-paragraph">Have you ever wondered about the Jewish Passover festival? The AI team takes a deep dive into a <strong>bilingual guide</strong>&nbsp;that presents the order of a&nbsp;<strong>Passover Seder</strong>&nbsp;through a blend of&nbsp;<strong>Jewish tradition</strong>&nbsp;and&nbsp;<strong>Christian theology</strong>. The text provides a&nbsp;<strong>step-by-step liturgical framework</strong>, including the&nbsp;<strong>lighting of candles</strong>, the&nbsp;<strong>four cups of wine</strong>, and the&nbsp;<strong>symbolic foods</strong>&nbsp;found on the Seder plate. It utilizes&nbsp;<strong>scriptural readings</strong>&nbsp;from both the&nbsp;<strong>Old and New Testaments</strong>&nbsp;to connect the&nbsp;<strong>exodus from Egypt</strong>&nbsp;to the life and sacrifice of&nbsp;<strong>Jesus</strong>. Written in both&nbsp;<strong>English and Chinese</strong>, the source serves as an&nbsp;<strong>educational tool</strong>&nbsp;for participants to understand the&nbsp;<strong>historical significance</strong>&nbsp;and&nbsp;<strong>spiritual symbolism</strong>&nbsp;of the holiday. The narrative emphasizes themes of&nbsp;<strong>redemption</strong>,&nbsp;<strong>freedom from slavery</strong>, and the&nbsp;<strong>messianic hope</strong>&nbsp;shared across generations.</p>



<p class="wp-block-paragraph">Note the differences between this version of the Passover seder and the traditional Jewish version.</p>]]></description>
	<itunes:subtitle><![CDATA[Have you ever wondered about the Jewish Passover festival? The AI team takes a deep dive into a bilingual guide&nbsp;that presents the order of a&nbsp;Passover Seder&nbsp;through a blend of&nbsp;Jewish tradition&nbsp;and&nbsp;Christian theology. The text]]></itunes:subtitle>
	<itunes:episodeType>full</itunes:episodeType>
	<itunes:episode>78</itunes:episode>
	<content:encoded><![CDATA[<p class="wp-block-paragraph">Have you ever wondered about the Jewish Passover festival? The AI team takes a deep dive into a <strong>bilingual guide</strong>&nbsp;that presents the order of a&nbsp;<strong>Passover Seder</strong>&nbsp;through a blend of&nbsp;<strong>Jewish tradition</strong>&nbsp;and&nbsp;<strong>Christian theology</strong>. The text provides a&nbsp;<strong>step-by-step liturgical framework</strong>, including the&nbsp;<strong>lighting of candles</strong>, the&nbsp;<strong>four cups of wine</strong>, and the&nbsp;<strong>symbolic foods</strong>&nbsp;found on the Seder plate. It utilizes&nbsp;<strong>scriptural readings</strong>&nbsp;from both the&nbsp;<strong>Old and New Testaments</strong>&nbsp;to connect the&nbsp;<strong>exodus from Egypt</strong>&nbsp;to the life and sacrifice of&nbsp;<strong>Jesus</strong>. Written in both&nbsp;<strong>English and Chinese</strong>, the source serves as an&nbsp;<strong>educational tool</strong>&nbsp;for participants to understand the&nbsp;<strong>historical significance</strong>&nbsp;and&nbsp;<strong>spiritual symbolism</strong>&nbsp;of the holiday. The narrative emphasizes themes of&nbsp;<strong>redemption</strong>,&nbsp;<strong>freedom from slavery</strong>, and the&nbsp;<strong>messianic hope</strong>&nbsp;shared across generations.</p>



<p class="wp-block-paragraph">Note the differences between this version of the Passover seder and the traditional Jewish version.</p>]]></content:encoded>
	<enclosure url="https://therightrequirement.com/wp-content/uploads/2026/04/P-078-A_Messianic_Seder_in_Chinese_and_English.mp3" length="19010390" type="audio/mpeg"></enclosure>
	<itunes:summary><![CDATA[Have you ever wondered about the Jewish Passover festival? The AI team takes a deep dive into a bilingual guide&nbsp;that presents the order of a&nbsp;Passover Seder&nbsp;through a blend of&nbsp;Jewish tradition&nbsp;and&nbsp;Christian theology. The text provides a&nbsp;step-by-step liturgical framework, including the&nbsp;lighting of candles, the&nbsp;four cups of wine, and the&nbsp;symbolic foods&nbsp;found on the Seder plate. It utilizes&nbsp;scriptural readings&nbsp;from both the&nbsp;Old and New Testaments&nbsp;to connect the&nbsp;exodus from Egypt&nbsp;to the life and sacrifice of&nbsp;Jesus. Written in both&nbsp;English and Chinese, the source serves as an&nbsp;educational tool&nbsp;for participants to understand the&nbsp;historical significance&nbsp;and&nbsp;spiritual symbolism&nbsp;of the holiday. The narrative emphasizes themes of&nbsp;redemption,&nbsp;freedom from slavery, and the&nbsp;messianic hope&nbsp;shared across generations.



Note the differences between this version of the Passover seder and the traditional Jewish version.]]></itunes:summary>
	<itunes:image href="https://therightrequirement.com/wp-content/uploads/2026/05/078-hagaddah.png"></itunes:image>
	<ssp:image>
		<ssp:url>https://therightrequirement.com/wp-content/uploads/2026/05/078-hagaddah.png</ssp:url>
		<ssp:title>Book Review: Bilingual Messianic Passover Haggadah</ssp:title>
	</ssp:image>
	<itunes:explicit>false</itunes:explicit>
	<itunes:block>no</itunes:block>
	<itunes:duration>00:22:36</itunes:duration>
	<itunes:author><![CDATA[Dr Joseph Kasser]]></itunes:author>	<googleplay:image href="https://therightrequirement.com/wp-content/uploads/2026/05/078-hagaddah.png"></googleplay:image>
	<googleplay:explicit>No</googleplay:explicit>
	<googleplay:block>no</googleplay:block>
</item>

<item>
	<title>Mission Engineering, a Return to the Original Systems Engineering Analytical Paradigm?</title>
	<link>https://therightrequirement.com/podcast/mission-engineering-a-return-to-the-original-systems-engineering-paradigm/</link>
	<pubDate>Sat, 25 Apr 2026 19:18:00 +0000</pubDate>
	<dc:creator><![CDATA[Dr Joseph Kasser]]></dc:creator>
	<guid isPermaLink="false">0932bab4-2687-5404-8dba-17889cd9b322</guid>
	<description><![CDATA[<p class="wp-block-paragraph">The  AI team takes a deep dive into the <strong>Department of Defense Mission Engineering Guide (Version 2.0)</strong>, which provides a standardized, interdisciplinary framework for analyzing and designing military missions to achieve specific outcomes. This methodology decomposes missions into <strong>mission threads</strong> and <strong>engineering threads</strong> to evaluate how different technologies, systems, and tactics impact overall success. By utilizing <strong>digital engineering tools</strong> and <strong>quantitative modeling</strong>, the guide helps practitioners identify capability gaps and inform high-level investment and acquisition decisions. The process is highly <strong>iterative</strong>, moving from initial problem definition and characterization to rigorous analysis and final recommendations. It emphasizes the use of <strong>data-driven metrics</strong>, such as Measures of Success and Measures of Performance, to ensure that military solutions are both effective and well-integrated. Ultimately, this guide serves as a scalable roadmap for the defense community to <strong>engineer missions</strong> that are robust, transparent, and aligned with modern strategic goals.</p>]]></description>
	<itunes:subtitle><![CDATA[The  AI team takes a deep dive into the Department of Defense Mission Engineering Guide (Version 2.0), which provides a standardized, interdisciplinary framework for analyzing and designing military missions to achieve specific outcomes. This methodology]]></itunes:subtitle>
	<itunes:episodeType>full</itunes:episodeType>
	<itunes:title><![CDATA[Mission Engineering, a Return to the Original Systems Engineering Analytical Paradigm?]]></itunes:title>
	<itunes:episode>76</itunes:episode>
	<content:encoded><![CDATA[<p class="wp-block-paragraph">The  AI team takes a deep dive into the <strong>Department of Defense Mission Engineering Guide (Version 2.0)</strong>, which provides a standardized, interdisciplinary framework for analyzing and designing military missions to achieve specific outcomes. This methodology decomposes missions into <strong>mission threads</strong> and <strong>engineering threads</strong> to evaluate how different technologies, systems, and tactics impact overall success. By utilizing <strong>digital engineering tools</strong> and <strong>quantitative modeling</strong>, the guide helps practitioners identify capability gaps and inform high-level investment and acquisition decisions. The process is highly <strong>iterative</strong>, moving from initial problem definition and characterization to rigorous analysis and final recommendations. It emphasizes the use of <strong>data-driven metrics</strong>, such as Measures of Success and Measures of Performance, to ensure that military solutions are both effective and well-integrated. Ultimately, this guide serves as a scalable roadmap for the defense community to <strong>engineer missions</strong> that are robust, transparent, and aligned with modern strategic goals.</p>]]></content:encoded>
	<enclosure url="https://therightrequirement.com/wp-content/uploads/2026/04/P-076-Mission_Engineering_Replaces_Checklists_With_Math.mp3" length="19884645" type="audio/mpeg"></enclosure>
	<itunes:summary><![CDATA[The  AI team takes a deep dive into the Department of Defense Mission Engineering Guide (Version 2.0), which provides a standardized, interdisciplinary framework for analyzing and designing military missions to achieve specific outcomes. This methodology decomposes missions into mission threads and engineering threads to evaluate how different technologies, systems, and tactics impact overall success. By utilizing digital engineering tools and quantitative modeling, the guide helps practitioners identify capability gaps and inform high-level investment and acquisition decisions. The process is highly iterative, moving from initial problem definition and characterization to rigorous analysis and final recommendations. It emphasizes the use of data-driven metrics, such as Measures of Success and Measures of Performance, to ensure that military solutions are both effective and well-integrated. Ultimately, this guide serves as a scalable roadmap for the defense community to engineer missions that are robust, transparent, and aligned with modern strategic goals.]]></itunes:summary>
	<itunes:image href="https://therightrequirement.com/wp-content/uploads/2026/04/076-me-a-return-to-ae-paradigm.png"></itunes:image>
	<ssp:image>
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		<ssp:title>Mission Engineering, a Return to the Original Systems Engineering Analytical Paradigm?</ssp:title>
	</ssp:image>
	<itunes:explicit>false</itunes:explicit>
	<itunes:block>no</itunes:block>
	<itunes:duration>00:23:11</itunes:duration>
	<itunes:author><![CDATA[Dr Joseph Kasser]]></itunes:author>	<googleplay:image href="https://therightrequirement.com/wp-content/uploads/2026/04/076-me-a-return-to-ae-paradigm.png"></googleplay:image>
	<googleplay:explicit>No</googleplay:explicit>
	<googleplay:block>no</googleplay:block>
</item>

<item>
	<title>Book Review: Learn Systems Thinking</title>
	<link>https://therightrequirement.com/podcast/book-review-learn-systems-thinking/</link>
	<pubDate>Sun, 19 Apr 2026 00:44:48 +0000</pubDate>
	<dc:creator><![CDATA[Dr Joseph Kasser]]></dc:creator>
	<guid isPermaLink="false">d6418d33-93d8-51d0-a215-8259578dc954</guid>
	<description><![CDATA[<p class="wp-block-paragraph">The AI takes a deep dive into a book that serves as an instructional guide to <strong>systems thinking</strong>, a holistic methodology designed to address the complex, interconnected challenges of the modern world. The authour, Wallace Wright argues against <strong>linear, mechanistic problem-solving</strong>, encouraging readers instead to view organizations and global issues as dynamic <strong>feedback loops</strong>. By examining the <strong>underlying structures and patterns</strong> which exist beneath surface-level events—frequently illustrated through the <strong>iceberg analogy</strong>—individuals can identify the root causes of dysfunction. The book details various <strong>systemic archetypes</strong>, such as "drifting goals" and "shifting the burden," to explain why quick fixes often fail or result in unintended consequences. Ultimately, the source advocates for <strong>adaptive strategies and mental model shifts</strong> to foster sustainable, innovative solutions in professional and personal contexts.</p>]]></description>
	<itunes:subtitle><![CDATA[The AI takes a deep dive into a book that serves as an instructional guide to systems thinking, a holistic methodology designed to address the complex, interconnected challenges of the modern world. The authour, Wallace Wright argues against linear, mech]]></itunes:subtitle>
	<itunes:episodeType>full</itunes:episodeType>
	<itunes:episode>73</itunes:episode>
	<content:encoded><![CDATA[<p class="wp-block-paragraph">The AI takes a deep dive into a book that serves as an instructional guide to <strong>systems thinking</strong>, a holistic methodology designed to address the complex, interconnected challenges of the modern world. The authour, Wallace Wright argues against <strong>linear, mechanistic problem-solving</strong>, encouraging readers instead to view organizations and global issues as dynamic <strong>feedback loops</strong>. By examining the <strong>underlying structures and patterns</strong> which exist beneath surface-level events—frequently illustrated through the <strong>iceberg analogy</strong>—individuals can identify the root causes of dysfunction. The book details various <strong>systemic archetypes</strong>, such as "drifting goals" and "shifting the burden," to explain why quick fixes often fail or result in unintended consequences. Ultimately, the source advocates for <strong>adaptive strategies and mental model shifts</strong> to foster sustainable, innovative solutions in professional and personal contexts.</p>]]></content:encoded>
	<enclosure url="https://therightrequirement.com/wp-content/uploads/2026/04/P-073-learn-systems-thinking.mp3" length="19910988" type="audio/mpeg"></enclosure>
	<itunes:summary><![CDATA[The AI takes a deep dive into a book that serves as an instructional guide to systems thinking, a holistic methodology designed to address the complex, interconnected challenges of the modern world. The authour, Wallace Wright argues against linear, mechanistic problem-solving, encouraging readers instead to view organizations and global issues as dynamic feedback loops. By examining the underlying structures and patterns which exist beneath surface-level events—frequently illustrated through the iceberg analogy—individuals can identify the root causes of dysfunction. The book details various systemic archetypes, such as "drifting goals" and "shifting the burden," to explain why quick fixes often fail or result in unintended consequences. Ultimately, the source advocates for adaptive strategies and mental model shifts to foster sustainable, innovative solutions in professional and personal contexts.]]></itunes:summary>
	<itunes:image href="https://therightrequirement.com/wp-content/uploads/2026/04/073-learning-systems-thinking.png"></itunes:image>
	<ssp:image>
		<ssp:url>https://therightrequirement.com/wp-content/uploads/2026/04/073-learning-systems-thinking.png</ssp:url>
		<ssp:title>Book Review: Learn Systems Thinking</ssp:title>
	</ssp:image>
	<itunes:explicit>false</itunes:explicit>
	<itunes:block>no</itunes:block>
	<itunes:duration>00:23:36</itunes:duration>
	<itunes:author><![CDATA[Dr Joseph Kasser]]></itunes:author>	<googleplay:image href="https://therightrequirement.com/wp-content/uploads/2026/04/073-learning-systems-thinking.png"></googleplay:image>
	<googleplay:explicit>No</googleplay:explicit>
	<googleplay:block>no</googleplay:block>
</item>

<item>
	<title>Bogdanov: The Unknown Pioneer of Systems Science</title>
	<link>https://therightrequirement.com/podcast/bogdanov-the-unknown-pioneer-of-systems-science/</link>
	<pubDate>Sat, 18 Apr 2026 16:09:00 +0000</pubDate>
	<dc:creator><![CDATA[Dr Joseph Kasser]]></dc:creator>
	<guid isPermaLink="false">5244c9c9-608c-5e16-a0cf-b9393b286033</guid>
	<description><![CDATA[<p class="wp-block-paragraph">The AI team takes a deep dive into  <strong>Alexander Bogdanov’s Tektology</strong>, a pioneering work that seeks to establish a <strong>universal science of organization</strong>. The author argues that all human, biological, and cosmic processes are governed by identical <strong>structural laws</strong>, positioning his theory as a precursor to modern <strong>systems theory and cybernetics</strong>. Through a detailed table of contents and introductory essays, the source explains how <strong>mankind and nature</strong> both function as organizers, utilizing mechanisms such as <strong>equilibrium, selection, and structural stability</strong>. The text also addresses the <strong>historical resistance</strong> Bogdanov faced from Marxist contemporaries, who viewed his scientific generalizations as a threat to traditional dialectical materialism. Ultimately, the work aims to <strong>harmonize fragmented knowledge</strong> into a single framework for understanding how complex wholes are formed, maintained, and dissolved. </p>



<p class="wp-block-paragraph">The full text may be found as a result of the following query on the Internet Archive <a href="https://archive.org/search.php?query=Bogdanov%20Tektology" target="_blank" rel="noopener" title="">https://archive.org/search.php?query=Bogdanov%20Tektology</a></p>]]></description>
	<itunes:subtitle><![CDATA[The AI team takes a deep dive into  Alexander Bogdanov’s Tektology, a pioneering work that seeks to establish a universal science of organization. The author argues that all human, biological, and cosmic processes are governed by identical structural law]]></itunes:subtitle>
	<itunes:title><![CDATA[Bogdanov: The Unknown Pioneer of Systems Science]]></itunes:title>
	<content:encoded><![CDATA[<p class="wp-block-paragraph">The AI team takes a deep dive into  <strong>Alexander Bogdanov’s Tektology</strong>, a pioneering work that seeks to establish a <strong>universal science of organization</strong>. The author argues that all human, biological, and cosmic processes are governed by identical <strong>structural laws</strong>, positioning his theory as a precursor to modern <strong>systems theory and cybernetics</strong>. Through a detailed table of contents and introductory essays, the source explains how <strong>mankind and nature</strong> both function as organizers, utilizing mechanisms such as <strong>equilibrium, selection, and structural stability</strong>. The text also addresses the <strong>historical resistance</strong> Bogdanov faced from Marxist contemporaries, who viewed his scientific generalizations as a threat to traditional dialectical materialism. Ultimately, the work aims to <strong>harmonize fragmented knowledge</strong> into a single framework for understanding how complex wholes are formed, maintained, and dissolved. </p>



<p class="wp-block-paragraph">The full text may be found as a result of the following query on the Internet Archive <a href="https://archive.org/search.php?query=Bogdanov%20Tektology" target="_blank" rel="noopener" title="">https://archive.org/search.php?query=Bogdanov%20Tektology</a></p>]]></content:encoded>
	<enclosure url="https://therightrequirement.com/wp-content/uploads/2026/04/P-075-Alexander_Bogdanov_for_Systems_Science.mp3" length="19196071" type="audio/mpeg"></enclosure>
	<itunes:summary><![CDATA[The AI team takes a deep dive into  Alexander Bogdanov’s Tektology, a pioneering work that seeks to establish a universal science of organization. The author argues that all human, biological, and cosmic processes are governed by identical structural laws, positioning his theory as a precursor to modern systems theory and cybernetics. Through a detailed table of contents and introductory essays, the source explains how mankind and nature both function as organizers, utilizing mechanisms such as equilibrium, selection, and structural stability. The text also addresses the historical resistance Bogdanov faced from Marxist contemporaries, who viewed his scientific generalizations as a threat to traditional dialectical materialism. Ultimately, the work aims to harmonize fragmented knowledge into a single framework for understanding how complex wholes are formed, maintained, and dissolved. 



The full text may be found as a result of the following query on the Internet Archive https://archive.org/search.php?query=Bogdanov%20Tektology]]></itunes:summary>
	<itunes:image href="https://therightrequirement.com/wp-content/uploads/2026/04/075-bogdanov.png"></itunes:image>
	<ssp:image>
		<ssp:url>https://therightrequirement.com/wp-content/uploads/2026/04/075-bogdanov.png</ssp:url>
		<ssp:title>Bogdanov: The Unknown Pioneer of Systems Science</ssp:title>
	</ssp:image>
	<itunes:explicit>false</itunes:explicit>
	<itunes:block>no</itunes:block>
	<itunes:duration>00:22:20</itunes:duration>
	<itunes:author><![CDATA[Dr Joseph Kasser]]></itunes:author>	<googleplay:image href="https://therightrequirement.com/wp-content/uploads/2026/04/075-bogdanov.png"></googleplay:image>
	<googleplay:explicit>No</googleplay:explicit>
	<googleplay:block>no</googleplay:block>
</item>

<item>
	<title>Book Review: Systems Science for Engineers and Scholars</title>
	<link>https://therightrequirement.com/podcast/book-review-systems-science-for-engineers-and-scholars/</link>
	<pubDate>Sat, 11 Apr 2026 16:25:00 +0000</pubDate>
	<dc:creator><![CDATA[Dr Joseph Kasser]]></dc:creator>
	<guid isPermaLink="false">cb432ede-2c77-5076-89db-17bfda019b25</guid>
	<description><![CDATA[<p class="wp-block-paragraph">The AI team takes a deep dive into a text which introduces <strong>systems science</strong> as an interdisciplinary framework designed to bridge the gap between specialized academic "silos" such as biology, physics, and engineering. Written by <strong>Avner Engel</strong>, the book <strong>Systems Science for Engineers and Scholars</strong> outlines ten fundamental principles—including <strong>hierarchy, complexity, and emergence</strong>—that govern all systems regardless of their specific domain. It encourages professionals to adopt <strong>holistic thinking</strong> to solve modern global dilemmas, such as the climate and energy crises, by applying lessons learned from one field to another through <strong>isomorphic mapping</strong>. The material also provides a detailed roadmap of the book’s structure, which covers practical applications in <strong>risk management, decision-making, and accident analysis</strong>. Ultimately, the text serves as a guide for using <strong>systemic methodologies</strong> to design more resilient technologies and understand the interconnected nature of the universe.</p>]]></description>
	<itunes:subtitle><![CDATA[The AI team takes a deep dive into a text which introduces systems science as an interdisciplinary framework designed to bridge the gap between specialized academic silos such as biology, physics, and engineering. Written by Avner Engel, the book Systems]]></itunes:subtitle>
	<itunes:episodeType>full</itunes:episodeType>
	<itunes:episode>74</itunes:episode>
	<content:encoded><![CDATA[<p class="wp-block-paragraph">The AI team takes a deep dive into a text which introduces <strong>systems science</strong> as an interdisciplinary framework designed to bridge the gap between specialized academic "silos" such as biology, physics, and engineering. Written by <strong>Avner Engel</strong>, the book <strong>Systems Science for Engineers and Scholars</strong> outlines ten fundamental principles—including <strong>hierarchy, complexity, and emergence</strong>—that govern all systems regardless of their specific domain. It encourages professionals to adopt <strong>holistic thinking</strong> to solve modern global dilemmas, such as the climate and energy crises, by applying lessons learned from one field to another through <strong>isomorphic mapping</strong>. The material also provides a detailed roadmap of the book’s structure, which covers practical applications in <strong>risk management, decision-making, and accident analysis</strong>. Ultimately, the text serves as a guide for using <strong>systemic methodologies</strong> to design more resilient technologies and understand the interconnected nature of the universe.</p>]]></content:encoded>
	<enclosure url="https://therightrequirement.com/wp-content/uploads/2026/03/074-principles-of-system-science-engel.mp3" length="12630527" type="audio/mpeg"></enclosure>
	<itunes:summary><![CDATA[The AI team takes a deep dive into a text which introduces systems science as an interdisciplinary framework designed to bridge the gap between specialized academic "silos" such as biology, physics, and engineering. Written by Avner Engel, the book Systems Science for Engineers and Scholars outlines ten fundamental principles—including hierarchy, complexity, and emergence—that govern all systems regardless of their specific domain. It encourages professionals to adopt holistic thinking to solve modern global dilemmas, such as the climate and energy crises, by applying lessons learned from one field to another through isomorphic mapping. The material also provides a detailed roadmap of the book’s structure, which covers practical applications in risk management, decision-making, and accident analysis. Ultimately, the text serves as a guide for using systemic methodologies to design more resilient technologies and understand the interconnected nature of the universe.]]></itunes:summary>
	<itunes:image href="https://therightrequirement.com/wp-content/uploads/2026/03/074-systems-science-engel.png"></itunes:image>
	<ssp:image>
		<ssp:url>https://therightrequirement.com/wp-content/uploads/2026/03/074-systems-science-engel.png</ssp:url>
		<ssp:title>Book Review: Systems Science for Engineers and Scholars</ssp:title>
	</ssp:image>
	<itunes:explicit>false</itunes:explicit>
	<itunes:block>no</itunes:block>
	<itunes:duration>00:14:54</itunes:duration>
	<itunes:author><![CDATA[Dr Joseph Kasser]]></itunes:author>	<googleplay:image href="https://therightrequirement.com/wp-content/uploads/2026/03/074-systems-science-engel.png"></googleplay:image>
	<googleplay:explicit>No</googleplay:explicit>
	<googleplay:block>no</googleplay:block>
</item>

<item>
	<title>Understanding Large Language Model AIs</title>
	<link>https://therightrequirement.com/podcast/understanding-large-language-model-ais/</link>
	<pubDate>Sun, 05 Apr 2026 02:56:40 +0000</pubDate>
	<dc:creator><![CDATA[Dr Joseph Kasser]]></dc:creator>
	<guid isPermaLink="false">e05dc80a-6409-5f48-86bf-5fcb9d5c4d4e</guid>
	<description><![CDATA[<p class="wp-block-paragraph">The AI team takes a deep dive into the technical architecture and operational logic of <strong>Large Language Models (LLMs)</strong>. They explain that these systems are trained through a <strong>multi-stage process</strong>; pre-training, fine-tuning, and human feedback, to predict text sequence. A central focus is the <strong>Transformer architecture</strong>, which uses an <strong>attention mechanism</strong> to understand relationships between words and manage linguistic nuances such as spelling errors. The team clarify that AI "memory" is actually a <strong>process</strong> where the entire conversation history is re-read during every interaction to maintain coherence. Finally, the team define LLMs as <strong>probabilistic state machines</strong> that, despite their sophisticated conversational abilities, face limitations such as factual hallucinations and fixed knowledge cutoffs.</p>



<p class="wp-block-paragraph"></p>]]></description>
	<itunes:subtitle><![CDATA[The AI team takes a deep dive into the technical architecture and operational logic of Large Language Models (LLMs). They explain that these systems are trained through a multi-stage process; pre-training, fine-tuning, and human feedback, to predict text]]></itunes:subtitle>
	<itunes:episodeType>full</itunes:episodeType>
	<itunes:episode>67</itunes:episode>
	<itunes:season>67</itunes:season>
	<content:encoded><![CDATA[<p class="wp-block-paragraph">The AI team takes a deep dive into the technical architecture and operational logic of <strong>Large Language Models (LLMs)</strong>. They explain that these systems are trained through a <strong>multi-stage process</strong>; pre-training, fine-tuning, and human feedback, to predict text sequence. A central focus is the <strong>Transformer architecture</strong>, which uses an <strong>attention mechanism</strong> to understand relationships between words and manage linguistic nuances such as spelling errors. The team clarify that AI "memory" is actually a <strong>process</strong> where the entire conversation history is re-read during every interaction to maintain coherence. Finally, the team define LLMs as <strong>probabilistic state machines</strong> that, despite their sophisticated conversational abilities, face limitations such as factual hallucinations and fixed knowledge cutoffs.</p>



<p class="wp-block-paragraph"></p>]]></content:encoded>
	<enclosure url="https://therightrequirement.com/wp-content/uploads/2026/03/P-067-undestanding-LMs.mp3" length="17333021" type="audio/mpeg"></enclosure>
	<itunes:summary><![CDATA[The AI team takes a deep dive into the technical architecture and operational logic of Large Language Models (LLMs). They explain that these systems are trained through a multi-stage process; pre-training, fine-tuning, and human feedback, to predict text sequence. A central focus is the Transformer architecture, which uses an attention mechanism to understand relationships between words and manage linguistic nuances such as spelling errors. The team clarify that AI "memory" is actually a process where the entire conversation history is re-read during every interaction to maintain coherence. Finally, the team define LLMs as probabilistic state machines that, despite their sophisticated conversational abilities, face limitations such as factual hallucinations and fixed knowledge cutoffs.]]></itunes:summary>
	<itunes:image href="https://therightrequirement.com/wp-content/uploads/2026/03/understanding-llms.png"></itunes:image>
	<ssp:image>
		<ssp:url>https://therightrequirement.com/wp-content/uploads/2026/03/understanding-llms.png</ssp:url>
		<ssp:title>Understanding Large Language Model AIs</ssp:title>
	</ssp:image>
	<itunes:explicit>false</itunes:explicit>
	<itunes:block>no</itunes:block>
	<itunes:duration>00:20:20</itunes:duration>
	<itunes:author><![CDATA[Dr Joseph Kasser]]></itunes:author>	<googleplay:image href="https://therightrequirement.com/wp-content/uploads/2026/03/understanding-llms.png"></googleplay:image>
	<googleplay:explicit>No</googleplay:explicit>
	<googleplay:block>no</googleplay:block>
</item>

<item>
	<title>An Introduction to System Science</title>
	<link>https://therightrequirement.com/podcast/an-introduction-to-system-science/</link>
	<pubDate>Sat, 28 Mar 2026 17:45:00 +0000</pubDate>
	<dc:creator><![CDATA[Dr Joseph Kasser]]></dc:creator>
	<guid isPermaLink="false">a9d1dc5a-b1ab-5276-8112-36f2a2271c58</guid>
	<description><![CDATA[<p class="wp-block-paragraph">The AI team take a deep dive into a book, Introduction to System Science with MATLAB by Gary Marlin Sandquist Zakary and Robert Wilde. The book introduces <strong>system science</strong> as a multidisciplinary framework for analyzing and modeling <strong>rational systems</strong> through the use of <strong>MATLAB</strong>. It emphasizes that effective practitioners must combine <strong>mathematical proficiency</strong> with computer competence to evaluate complex phenomena ranging from <strong>physical sciences</strong> to human history and sociology. By applying the <strong>principle of causality</strong>, the material demonstrates how to quantify diverse topics such as <strong>economic growth</strong>, medical diagnoses, and even religious impacts or personal stress. The provided excerpts offer various <strong>system equations</strong> and modeling exercises that explore the relationship between inputs, outputs, and <strong>feedback mechanisms</strong>. Ultimately, the book seeks to provide students with the <strong>computational tools</strong> necessary to simulate and understand the interconnected nature of the modern world.</p>]]></description>
	<itunes:subtitle><![CDATA[The AI team take a deep dive into a book, Introduction to System Science with MATLAB by Gary Marlin Sandquist Zakary and Robert Wilde. The book introduces system science as a multidisciplinary framework for analyzing and modeling rational systems through]]></itunes:subtitle>
	<itunes:episodeType>full</itunes:episodeType>
	<itunes:episode>68</itunes:episode>
	<itunes:season>68</itunes:season>
	<content:encoded><![CDATA[<p class="wp-block-paragraph">The AI team take a deep dive into a book, Introduction to System Science with MATLAB by Gary Marlin Sandquist Zakary and Robert Wilde. The book introduces <strong>system science</strong> as a multidisciplinary framework for analyzing and modeling <strong>rational systems</strong> through the use of <strong>MATLAB</strong>. It emphasizes that effective practitioners must combine <strong>mathematical proficiency</strong> with computer competence to evaluate complex phenomena ranging from <strong>physical sciences</strong> to human history and sociology. By applying the <strong>principle of causality</strong>, the material demonstrates how to quantify diverse topics such as <strong>economic growth</strong>, medical diagnoses, and even religious impacts or personal stress. The provided excerpts offer various <strong>system equations</strong> and modeling exercises that explore the relationship between inputs, outputs, and <strong>feedback mechanisms</strong>. Ultimately, the book seeks to provide students with the <strong>computational tools</strong> necessary to simulate and understand the interconnected nature of the modern world.</p>]]></content:encoded>
	<enclosure url="https://therightrequirement.com/wp-content/uploads/2026/03/P-068-into-to-systems-science-matlab.mp3" length="13055185" type="audio/mpeg"></enclosure>
	<itunes:summary><![CDATA[The AI team take a deep dive into a book, Introduction to System Science with MATLAB by Gary Marlin Sandquist Zakary and Robert Wilde. The book introduces system science as a multidisciplinary framework for analyzing and modeling rational systems through the use of MATLAB. It emphasizes that effective practitioners must combine mathematical proficiency with computer competence to evaluate complex phenomena ranging from physical sciences to human history and sociology. By applying the principle of causality, the material demonstrates how to quantify diverse topics such as economic growth, medical diagnoses, and even religious impacts or personal stress. The provided excerpts offer various system equations and modeling exercises that explore the relationship between inputs, outputs, and feedback mechanisms. Ultimately, the book seeks to provide students with the computational tools necessary to simulate and understand the interconnected nature of the modern world.]]></itunes:summary>
	<itunes:image href="https://therightrequirement.com/wp-content/uploads/2026/03/intro-to-systems-science-1.png"></itunes:image>
	<ssp:image>
		<ssp:url>https://therightrequirement.com/wp-content/uploads/2026/03/intro-to-systems-science-1.png</ssp:url>
		<ssp:title>An Introduction to System Science</ssp:title>
	</ssp:image>
	<itunes:explicit>false</itunes:explicit>
	<itunes:block>no</itunes:block>
	<itunes:duration>00:16:05</itunes:duration>
	<itunes:author><![CDATA[Dr Joseph Kasser]]></itunes:author>	<googleplay:image href="https://therightrequirement.com/wp-content/uploads/2026/03/intro-to-systems-science-1.png"></googleplay:image>
	<googleplay:explicit>No</googleplay:explicit>
	<googleplay:block>no</googleplay:block>
</item>

<item>
	<title>The Collapse of MBSE and the Collateral Damage to Systems Engineering</title>
	<link>https://therightrequirement.com/podcast/the-collapse-of-mbse-and-the-collateral-damage-to-systems-engineering/</link>
	<pubDate>Sun, 22 Mar 2026 01:45:41 +0000</pubDate>
	<dc:creator><![CDATA[Dr Joseph Kasser]]></dc:creator>
	<guid isPermaLink="false">f4c9c8c0-d824-5eaa-b5eb-3e0312983313</guid>
	<description><![CDATA[<p class="wp-block-paragraph">The AI team takes a deep dive into a provided text, <em>The Collapse of MBSE and the Collateral Damage to Systems Engineering</em>,  by Art Villanueva, DEng, ESEP which argues that&nbsp;<strong>Model-Based Systems Engineering (MBSE)</strong>&nbsp;has mistakenly become a substitute for the broader discipline of&nbsp;<strong>systems engineering</strong>, leading to a decline in professional authority and decision-making quality. While MBSE is a valuable tool for&nbsp;<strong>organizing and documenting system information</strong>, it often lacks the&nbsp;<strong>analytical power</strong>&nbsp;required to drive critical engineering choices, which are instead handled by external simulations and expert judgment. This misalignment results in models that serve as&nbsp;<strong>post-hoc documentation</strong>&nbsp;rather than load-bearing assets, causing stakeholders to view the entire field as administrative overhead. The author suggests that organizations must&nbsp;<strong>re-establish systems engineering as a cognitive, decision-oriented discipline</strong>&nbsp;while positioning MBSE strictly as supporting infrastructure for coordination. To resolve this, the text advocates for&nbsp;<strong>clearer role definitions</strong>&nbsp;that distinguish the representative work of modelers from the analytical responsibilities of engineers. Ultimately, the source concludes that even advanced tools like&nbsp;<strong>SysML v2 and AI</strong>&nbsp;cannot replace human reasoning and the necessity for rigorous, tool-agnostic engineering leadership.</p>



<p class="wp-block-paragraph">You can find the paper and information about his upcoming book (to be released March 24), <em>The Garden and the Machine: Designing Systems that Thrive on Disruption</em> at <a href="https://phronos.com">https://phronos.com</a>.</p>



<p class="wp-block-paragraph"></p>



<p class="wp-block-paragraph"></p>]]></description>
	<itunes:subtitle><![CDATA[The AI team takes a deep dive into a provided text, The Collapse of MBSE and the Collateral Damage to Systems Engineering,  by Art Villanueva, DEng, ESEP which argues that&nbsp;Model-Based Systems Engineering (MBSE)&nbsp;has mistakenly become a substitut]]></itunes:subtitle>
	<itunes:episodeType>full</itunes:episodeType>
	<itunes:episode>72</itunes:episode>
	<content:encoded><![CDATA[<p class="wp-block-paragraph">The AI team takes a deep dive into a provided text, <em>The Collapse of MBSE and the Collateral Damage to Systems Engineering</em>,  by Art Villanueva, DEng, ESEP which argues that&nbsp;<strong>Model-Based Systems Engineering (MBSE)</strong>&nbsp;has mistakenly become a substitute for the broader discipline of&nbsp;<strong>systems engineering</strong>, leading to a decline in professional authority and decision-making quality. While MBSE is a valuable tool for&nbsp;<strong>organizing and documenting system information</strong>, it often lacks the&nbsp;<strong>analytical power</strong>&nbsp;required to drive critical engineering choices, which are instead handled by external simulations and expert judgment. This misalignment results in models that serve as&nbsp;<strong>post-hoc documentation</strong>&nbsp;rather than load-bearing assets, causing stakeholders to view the entire field as administrative overhead. The author suggests that organizations must&nbsp;<strong>re-establish systems engineering as a cognitive, decision-oriented discipline</strong>&nbsp;while positioning MBSE strictly as supporting infrastructure for coordination. To resolve this, the text advocates for&nbsp;<strong>clearer role definitions</strong>&nbsp;that distinguish the representative work of modelers from the analytical responsibilities of engineers. Ultimately, the source concludes that even advanced tools like&nbsp;<strong>SysML v2 and AI</strong>&nbsp;cannot replace human reasoning and the necessity for rigorous, tool-agnostic engineering leadership.</p>



<p class="wp-block-paragraph">You can find the paper and information about his upcoming book (to be released March 24), <em>The Garden and the Machine: Designing Systems that Thrive on Disruption</em> at <a href="https://phronos.com">https://phronos.com</a>.</p>



<p class="wp-block-paragraph"></p>



<p class="wp-block-paragraph"></p>]]></content:encoded>
	<enclosure url="https://therightrequirement.com/wp-content/uploads/2026/02/P-072-mbse-collapse.mp3" length="15566454" type="audio/mpeg"></enclosure>
	<itunes:summary><![CDATA[The AI team takes a deep dive into a provided text, The Collapse of MBSE and the Collateral Damage to Systems Engineering,  by Art Villanueva, DEng, ESEP which argues that&nbsp;Model-Based Systems Engineering (MBSE)&nbsp;has mistakenly become a substitute for the broader discipline of&nbsp;systems engineering, leading to a decline in professional authority and decision-making quality. While MBSE is a valuable tool for&nbsp;organizing and documenting system information, it often lacks the&nbsp;analytical power&nbsp;required to drive critical engineering choices, which are instead handled by external simulations and expert judgment. This misalignment results in models that serve as&nbsp;post-hoc documentation&nbsp;rather than load-bearing assets, causing stakeholders to view the entire field as administrative overhead. The author suggests that organizations must&nbsp;re-establish systems engineering as a cognitive, decision-oriented discipline&nbsp;while positioning MBSE strictly as supporting infrastructure for coordination. To resolve this, the text advocates for&nbsp;clearer role definitions&nbsp;that distinguish the representative work of modelers from the analytical responsibilities of engineers. Ultimately, the source concludes that even advanced tools like&nbsp;SysML v2 and AI&nbsp;cannot replace human reasoning and the necessity for rigorous, tool-agnostic engineering leadership.



You can find the paper and information about his upcoming book (to be released March 24), The Garden and the Machine: Designing Systems that Thrive on Disruption at https://phronos.com.]]></itunes:summary>
	<itunes:image href="https://therightrequirement.com/wp-content/uploads/2026/02/collapse-of-mbse.png"></itunes:image>
	<ssp:image>
		<ssp:url>https://therightrequirement.com/wp-content/uploads/2026/02/collapse-of-mbse.png</ssp:url>
		<ssp:title>The Collapse of MBSE and the Collateral Damage to Systems Engineering</ssp:title>
	</ssp:image>
	<itunes:explicit>false</itunes:explicit>
	<itunes:block>no</itunes:block>
	<itunes:duration>00:18:54</itunes:duration>
	<itunes:author><![CDATA[Dr Joseph Kasser]]></itunes:author>	<googleplay:image href="https://therightrequirement.com/wp-content/uploads/2026/02/collapse-of-mbse.png"></googleplay:image>
	<googleplay:explicit>No</googleplay:explicit>
	<googleplay:block>no</googleplay:block>
</item>
	</channel>
</rss>
