Systems Thinking and Beyond

Dr Joseph Kasser

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/)

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  1. 2 NGÀY TRƯỚC

    Does INCOSE Have Any Principles?

    The AI team takes a deep dive into the 15 INCOSE Systems Engineering Principles and an iterative Agentic AI analysis of those principles. The AI team critique INCOSE for not defining principles, but stating 'so-called' principles as "transcendent truths" that explicitly avoid "how-to" methods, effectively turning engineering into philosophy. True engineering principles, such as Ohm’s Law, must be mathematical, predictive, and falsifiable. An analysis of the language in the 15 principles found that 89% of the INCOSE document is management-focused, dealing with organizational structures and stakeholder consensus rather than physics. The AI team also describe Principle 6 (Progressive Understanding) as a tautology and Principle 13 (Discipline Integration) as mere "stamp collecting", namely observing disciplines without providing the mathematical "glue" to integrate them. The AI team highlight the irony that the only mathematically proven sections in the INCOSE text are labelled as hypotheses, while vague management advice is presented as transcendent truth. The AI team also critique the INCOSE principles for employing circular logic and tautologies that describe goals as the methods for reaching them, effectively offering "vague life advice" rather than engineering rigor. The AI critique contrasts INCOSE with the seven Kasser and Hitchins principles (2011) which provide a prescriptive "recipe" for success based on a singular objective and rigorous partitioning of subsystems. The fact that hard engineering bodies like the IEEE and AIAA signed off on these principles is seen by the AI as a worrying sign that the industry is confusing "meeting agendas with blueprints". Ultimately, the AI team warn that drifting from hard, verifiable principles to "soft, vibes-based management" is actively dangerous for safety-critical systems such as autonomous cars or nuclear plants. It suggests that if the guardians of engineering continue to prioritize consensus over physics, real-world-changing engineering might eventually move away from legacy institutions toward small, focused teams that "care a whole lot more about the math than the meeting minutes. Why not download the INCOSE principles document and decide for yourself? References Systems Engineering Principles, https://www.incose.org/wp-content/uploads/legacy/professional-development-portal/pdp-pdf-non-webinar-documents/systems_engineering_principles_book_v12_watson.pdf?utm_source=chatgpt.com, accessed 20 February 2026 Kasser, J. E. and Hitchins, D. K., Unifying systems engineering: Seven principles for systems engineered solution systems, proceedings of the 21st International Symposium of the INCOSE, Denver, 2011.

    20 phút
  2. 8 THG 2

    Fuzzy Thinking: When Systems Fail

    In this analytical deep dive, the AI team explores the multifaceted work of Professor Ahmad Hijazi, Dean of the Business School at PU and head of a dedicated innovation incubator. Hijazi’s research challenges the traditional boundaries of management by examining the “architecture of creative judgment” at the “edge of knowledge”. The AI team investigate his premise that while systems thinking is a vital tool, it can become misleading if applied too rigidly to complex, real-world problems. The AI team breaks down Hijazi’s unique synthesis of commercial leadership experience, spanning sales, marketing, and product management with his academic focus on responsible thinking within systems that refuse to be fully categorized. A central theme of the analysis is Hijazi’s concept of “approximate thinking,” as seen in his work “Fuzzy on the Dark Side,” which offers a framework for navigating the limits of traditional models (https://ahijazi.website/fuzzy-on-the-dark-side-approximate-thinking/). Furthermore, The AI team explore how Hijazi integrates the practical application of creativity through fiction-writing and myth, including his engagement with the figure of Prometheus. By blending these narrative tools with innovation theory, Hijazi provides a roadmap for fermenting discussion on how to lead when data is incomplete. Join the AI team as they decode how Hijazi’s theories help modern innovators find clarity in the "dark side" of complex systems. if you like what you hear, check out Prometheus at https://www.youtube.com/@Prometheus_Shot

    13 phút
  3. 12 THG 1

    Extending the Technology Readiness Level (TRL) over the entire system lifecycle

    The AI team takes a deep dive into a technical paper which critiques the traditional Technology Readiness Level (TRL) metric for its inability to predict future progress or address the later stages of a system's life. By applying holistic thinking perspectives, the author argues for a shift from measuring static maturity to evaluating long-term technology availability. This approach introduces the dynamic TRL (dTRL), which utilizes historical data to forecast when a technology will actually be ready for integration. It is similar to the use of Earned Value Analysis which can be used to forecast project cost and schedule. Furthermore, the text proposes the Technology Availability Window of Opportunity (TAWOO) as a comprehensive framework that extends beyond development to include obsolescence and material shortages. Ultimately, the source demonstrates that holistic problem-solving broadens the project manager's scope, ensuring technology is supported from its initial conception through its eventual retirement. These conceptual tools aim to reduce programmatic risk by providing a more complete vision of the entire technology lifecycle. Further details may be found in the technical paper, Kasser, J.E., Applying Holistic Thinking to the Problem of Determining the Future Availability of Technology, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Volume 46, Number 3, 2016.

    11 phút
  4. 03/12/2025

    Whistleblowing in INCOSE

    The AI team takes a hilarious deep dive into the official correspondence and internal memoranda related to a grievance filed by Joe Kasser against several officers of INCOSE, the International Council on Systems Engineering. The initial letters from December 2014 inform Kasser that an informal committee decided to ban him from presenting at the next two symposia (IS 2015-2016) and reject his submitted papers due to past "non-conciliatory" behavior during panel discussions in 2012 and 2014. Kasser's extensive replies protest the ban, alleging that the process was handled by a "kangaroo court" in violation of INCOSE policies. Subsequent communications document the attempts to resolve the grievance, including the President-Elect's initial determination to cancel the sanction and subject Kasser's papers to peer review, which Kasser found unsatisfactory because the "guilty verdict" remained and the issue of policy violations was completely ignored. The final letter, dated December 2015, concludes the formal grievance review, ignored the root cause of the complaint, namely policy violations confirming Kasser's and the named officers' good standing, declining to issue reprimands, and stating that the matter is resolved because one of Kasser's papers was ultimately accepted and presented at IS 2015, a conclusion Kasser deemed unacceptable. If you are an INCOSE member, why not try to find out why the process focused on the actions of the kangaroo court and ignored the violations of the bylaws. Post the question in the official (members only) INCOSE LinkedIn group, or email it to info@incose.net. Please let me know if you get an answer and/or if your posted question is deleted or ignored.

    14 phút

Giới Thiệu

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/)