Blog Archives

The AI team take a deep dive into Donella H. Meadows’ Thinking in Systems: A Primer. This is a posthumously published book that introduces systems thinking concepts to a broad audience. The book uses clear language and diagrams to explain system dynamics, including feedback loops, stocks and flows, and delays. It explores common system structures and behaviors, such as growth limits and policy resistance, offering insights into how to manage and redesign systems effectively. Meadows emphasizes … Continue reading →

The AI team take a deep dive into Tom Gilb’s presentation to the BCS in July 2024 on AI quality which advocates for a multidimensional approach to evaluating AI systems, moving beyond vague descriptions. He argues that current AI models are defective due to inherent instability and a lack of transparency. Gilb proposes using quantifiable metrics for qualities like transparency and security, incorporating a stakeholder model for a more comprehensive understanding. The presentation emphasizes the need for measurable standards to assess AI systems effectively, contrasting Large … Continue reading →

The AI team take a deep dive into a book by Dr Howard Eisner which examines the attributes of highly successful systems engineers. It profiles prominent figures like Leonardo da Vinci, Isaac Newton, and Albert Einstein, analyzing their traits and contributions. The author then explores seven key attributes—synthesizer, listener, curious/systems thinker, manager/leader, expert (in systems engineering processes and domain knowledge), and perseverer—through case studies and analysis of various successful systems engineers. The text also incorporates … Continue reading →

The AI team take a deep dive into a paper presented at the 11th International Conference on System of Systems Engineering, Kongsberg, Norway, in 2016 which examines systems engineering principles through a case study of a “Widget” system. It explores the iterative nature of problem-solving within the system lifecycle, illustrating how solutions to initial problems can create new challenges. The author highlights the interplay between “what’s” (requirements) and “how’s” (solutions) and how unforeseen issues, such as unexpected vibrations … Continue reading →

The AI team take a deep dive into Prof Derek Hitchins’ book “putting systems to work”. The book presents a comprehensive approach to systems engineering, contrasting traditional “closed-system” methodologies with a novel “open-system” framework. The open-system approach emphasizes adaptability, cohesion, and the importance of human elements within systems. The text explores various methods for analyzing and designing complex systems, including soft systems methodology, cognitive mapping, and the use of generic reference models. A core concept … Continue reading →