Systemic Design as Born from the Berkeley Bubble Matrix

Harold Nelson

nelsongroup@berkeley.edu

Harold Nelson leads the collection with an invited essay, Contexts’ first article, that helps place the footers and foundation into the field that has grown from design for complex scale and generations of systems thinking. The fertile ground of the 1960s consciousness revolution, the University of California at Berkeley, and what Nelson refers to as The Berkeley Bubble are central to the ideas in this essay.

Berkeley Bubble | Contexts—The Journal of Systemic Design

https://systemic-design.org/contexts/vol1/harold-nelson/v1001/

The Systems Intelligence Institute

[They say:]

What is systems intelligence?


Systems intelligence is the ability to understand the world around you through a systemic lens, and to take intelligent action.

This means being aware of the big picture, noticing how things are related, and understanding the the impact of your actions.

It also means being able to join forces with others in harmonious and productive ways.

Systems intelligence is rooted in the principles of systems thinking, but has less focus on methodologies. It has more to do with everyday habits and actions.

It is a way of thinking, a way of working, a way of being.

THE INSTITUTE FOR SYSTEMS INTELLIGENCE

https://www.ifsi.uk/

The Banathy Conversation Methodology (2015, Dyer et al) – and a response paper

Context: Thirty years ago, members of the systems science community discovered that at their conferences, more was being accomplished in the breaks than in the sessions. Led by Bela H. Banathy, they cancelled the sessions and created a conversation methodology that has proven far more effective. Dozens of conversations have now been held around the world. Problem: At a recent conversation in Linz, Austria, a team devoted its inquiry to the Banathy Conversation Methodology (BCM) itself, asking, in particular, how to develop and spread the methodology further, beyond the systems science community. Method: The team captured key features and benefits of BCM and developed new tools. Results: Described herein are the development of the methodology, its theoretical underpinnings, the methodology itself, heuristics for successful conversations, and an example of how the methodology is spreading. Implications: Ultimately, the hope is to develop the methodology in such ways that communities could apply it to meet significant challenges and co-create their futures.

(PDF) The Banathy Conversation Methodology

https://www.researchgate.net/publication/284738114_The_Banathy_Conversation_Methodology


Metcalf G. S. (2015) A constructivist perspective on banathy’s conversation methodology. Constructivist Foundations 11(1): 53–54. http://constructivist.info/11/1/053

Open peer commentary on the article “The Banathy Conversation Methodology” by Gordon Dyer, Jed Jones, Gordon Rowland & Silvia Zweifel. Upshot: This commentary will address the implicit and explicit connections between Banathy’s Conversation Methodology, which is the heart of the process used at the IFSR Conversations held every two years in Austria, and constructivist theories in application.

https://constructivist.info/11/1/053.metcalf

A systems theory of marginalization and its implications for systemic intervention – Midgley (2021)

  • January 2021
  • Conference: Systems Analysis in Economics – 2020

A systems theory of marginalization and its implications for systemic interventionJanuary 2021DOI: 10.33278/SAE-2020.book1.054-057Conference: Systems Analysis in Economics – 2020Gerald Midgley

(18) (PDF) A systems theory of marginalization and its implications for systemic intervention

https://www.researchgate.net/publication/354980463_A_systems_theory_of_marginalization_and_its_implications_for_systemic_intervention

Systems thinking is becoming sexy. Should we be worried? Boulahbel (2024) (Medium members only)

Houda Boulahbel

Published in

Systems Thinking Made Simple

6 min read

Systems thinking is becoming sexy. Should we be worried? | by Houda Boulahbel | Systems Thinking Made Simple | May, 2024 | Medium

Alexander Bogdanov and the question of unity: An emerging research agenda – Şenalp and Midgley (2023)

Authors

Ö. Şenalp
G. Midgley

2023

Systems Research and Behavioral Science

Volume | Issue number 40

In this paper, we propose a research agenda to support the recovery of Alexander Bogdanov’s philosophical and systemic thinking that culminated in his magnum opus, Tektology. Our main reason for doing so is to re-address enduring questions about the unity of science and the unity of the systems paradigm. Since the turn of the new millennium, there has been renewed interest in the ideal of the unity of science. General system theory (GST), cybernetics and complexity science are three significant intellectual sources inspiring this renewal. It is not unusual for these ideas to be grouped under the umbrella terms systems science or systems thinking, which are two ways to present a single systems paradigm, and we will explain why its “unity” is both necessary and problematic. Bringing Bogdanov’s work back to address the unity question can help us to progress toward unity in diversity.

In special issue: Resurrecting Bogdanov on the 150th anniversary of his birth.

Persistent Identifierhttps://hdl.handle.net/11245.1/f9a4e972-a2b8-4ddc-a5d6-c7d31b61096a

https://dare.uva.nl/search?identifier=f9a4e972-a2b8-4ddc-a5d6-c7d31b61096a

How To Apply Systems Thinking To Business Leadership – by Forbes Expert Panel® Forbes Councils Member Forbers Coaches Council COUNCIL POST Membership (Fee-Based)

[Title and by-lines given verbatim, for fun…]

This was shared on LinkedIn https://www.linkedin.com/posts/angelamontgomeryphd_systemsthinking-science-business-activity-7196518562612576258-qocy by Angela Montgomery PhD of the Decalogue method (https://stream.syscoi.com/2024/05/15/the-decalogue-short-overview-intelligent-management-lepore-montgomery-siepe/)

My comment:

/please ignore if not in the mood for grumpiness/

I am glad you make the point that your work goes deeper – from what I know it does!

And thank goodness, because – not wishing to be too grumpy – this is advertorial (paid-for) word salad, akin to one of those LinkedIn AI articles – it’s disappointing that Forbes has gone down the route of fleecing consultants and coaches rather than journalism 😦

And so this article, though I don’t doubt many or all of the contributors are good-willed and highly capable people, sort of undermines them, Forbes, the concept of journalism and ‘systems thinking’ at the same time 😦

How To Apply Systems Thinking To Business Leadership

https://www.forbes.com/sites/forbescoachescouncil/2024/05/13/how-to-apply-systems-thinking-to-business-leadership/?sh=9b203de5fdc4

THE DECALOGUE SHORT OVERVIEW – Intelligent Management (Lepore, Montgomery, Siepe)

[A Deming and Theory-of-Constraints type systematic ten-step approach which is quite interesting]

THE DECALOGUE SHORT OVERVIEW – Intelligent Management –
https://intelligentmanagement.ws/decalogue-short-overview/

Cybernetics is the science of the polycrisis: What Stafford Beer and Dan Davies say and why you need to read them – Farrell (2024) (substack)

HENRY FARRELL

APR 17, 2024

Cybernetics is the science of the polycrisisWhat Stafford Beer and Dan Davies say and why you need to read themHENRY FARRELLAPR 17, 2024

Cybernetics is the science of the polycrisis

https://www.programmablemutter.com/p/cybernetics-is-the-science-of-the

THE WORLD IS A NETWORK – Fritjof Capra, October 2018, Science and Nonduality convention

Presented at the 2018 Science and Nonduality convention.

Topics

THE WORLD IS A NETWORK
October 2018
In this discussion, Fritjof Capra discusses systems thinking, the cognitive dimension of life, nonlinear causality, emergence of novelty in (Text sourced from https://www.organism.earth/library/document/world-is-a-network) living systems, ethics, world problems and solutions, transformative learning, and the importance of community. He covers the systems view of life from his book and emphasizes relationships, interconnectedness, and sustainability.

Presented at the 2018 Science and Nonduality convention.

The World is a Network – Fritjof Capra

https://www.organism.earth/library/document/world-is-a-network

Facilitation, FutureSearch, and Leading Meeting that Matter training with Sandra Janoff and Michael Donnelly, October 2024 in Berlin

[This is an absolutely awesome opportunity – Sandra is fabled, and rightly so, and Michael is such a storied facilitator and a clear and deep thinker, as well as being engaging and just general a delight to be around. I see him as one of the people who is successfully picking up the torch from Sandra’s generation and taking deep, effective and proven thinking forward with respect and with awareness of the adaptation that’s needed. If I had the time I’d go myself.]

🍀 Come to Berlin this October to join our Trainings with Sandra Janoff and Michael Donnelly.
We are very happy to host Sandra and Michael this year. This is a very rare opportunity to meet the source of hashtag#FutureSearch and real role models for hashtag#facilitation of complex, multi-stakeholder questions that matter and learn together.

📣 We have a special rate until end of May:
🍀 Early bird 10% and another 15% if you book both trainings. Please Contact us with any questions.

📣 Managing a Future Search: 9-11 October 2024
A Learning Workshop with Sandra Janoff and Michael Donnelly
https://lnkd.in/eww7xBWC

📣 P10 Facilitation: Ten Principles for Leading Meetings that Matter 14/15 October 2024
A Learning Workshop with Sandra Janoff and Michael Donnelly
https://lnkd.in/eiYi-xGn

📣 Future Search Learning Exchange, 16/17 October 2024
https://lnkd.in/ewZWQbMm

(4) Post | LinkedIn

https://www.linkedin.com/posts/facilitation-academy-berlin_futuresearch-facilitation-activity-7193900894868897792-2O5s/?utm_source=share&utm_medium=member_ios

Petter Holme on papers the Santa Fe Institute omitted when compiling their anthology Foundational Papers of Complexity – Salon des refusés: Foundational papers in complexity science

John McCarthy and the ‘AI’ schism from ‘cybernetics’ – links for reference

[Drawn to my attention by John Siegrist on this blog from Felix Hovespian https://www.linkedin.com/feed/update/urn%3Ali%3Aactivity%3A7193830352144977920/?commentUrn=urn%3Ali%3Acomment%3A%28activity%3A7193830352144977920%2C7193839932258353152%29&dashCommentUrn=urn%3Ali%3Afsd%5Fcomment%3A%287193839932258353152%2Curn%3Ali%3Aactivity%3A7193830352144977920%29&replyUrn=urn%3Ali%3Acomment%3A%28activity%3A7193830352144977920%2C7194207491482615809%29&dashReplyUrn=urn%3Ali%3Afsd%5Fcomment%3A%287194207491482615809%2Curn%3Ali%3Aactivity%3A7193830352144977920%29 ]

John McCarthy Tue Jun 13 03:06:03 PDT 2000
https://www-formal.stanford.edu/jmc/reviews/bloomfield/bloomfield.html
(From his interesting and very 90s website https://www-formal.stanford.edu/jmc/)

pdf of the same: http://jmc.stanford.edu/artificial-intelligence/reviews/bloomfield.pdf

A book review, in which he says

Schopman mentions many influences of earlier work on AI pioneers. I can report that many of them didn’t influence me except negatively, but in order to settle the matter of influences it would be necessary to actually ask (say) Minsky and Newell and Simon. As for myself, one of the reasons for inventing the term “artificial intelligence” was to escape association with “cybernetics”. Its concentration on analog feedback seemed misguided, and I wished to avoid having either to accept Norbert (not Robert) Wiener as a guru or having to argue with him. (By the way I assume that the “Walter Gibbs” Schopman refers to as having influenced Wiener is most likely the turn-of-the-century American physicist Josiah Willard Gibbs, though possibly McCulloch’s colleague Walter Pitts). Minsky tells me that neither Wiener nor von Neumann, with whom he had personal contact, influenced him, because he didn’t agree with their ideas. He does mention influence from Rashevsky, McCulloch and Pitts.

__
On his own thread, Felix Hovespian had responded:

“Most of what is called hashtag#artificialIntelligence today is based on 1st order hashtag#cybernetics, and therefore it’s very like hashtag#behaviorism.

It doesn’t take into account what the intelligence has to do in order to hashtag#observe, to construct, to hashtag#think … ”

[ Ernst von Glasersfeld and a History of Cybernetics,
https://youtu.be/pm5u68t6kPI ]

___
Various tweets on this point (turns out’Grok’ is an actually useful search engine for twitter – hurrah!) – all coming back to the same quote:

Apr 19 2022 Alex Dimakis

May 5 2023 Eryk Salvaggio

Jan 21 2024 Meredith Whittaker

_____________

A couple of useful-looking LLM summaries of the differences:

ChatGPT:
John McCarthy, a pivotal figure in the development of artificial intelligence, had several key differences with the field of cybernetics, particularly concerning the methods and goals of research in understanding and creating intelligent systems. Here are the main areas where McCarthy’s views diverged from those predominant in cybernetics:

### 1. **Focus on Symbolic Processing:**
– McCarthy was a strong proponent of symbolic AI, which emphasizes the manipulation of symbols to perform reasoning tasks. He believed that intelligence could be described as symbol manipulation and that machines could be made intelligent by programming them to manipulate symbols according to formal rules.
– Cybernetics, in contrast, focused more broadly on communication and control in animals and machines, often considering feedback mechanisms and homeostatic systems rather than specific computational models of intelligence.

### 2. **Theoretical Foundations:**
– McCarthy was instrumental in developing the theoretical foundations of computing and artificial intelligence, emphasizing formalisms such as recursion theory and the use of formal logic to model intelligent behavior. His approach was more mathematical and abstract, rooted in formal logic and computation theory.
– Cybernetics tended to be more interdisciplinary and system-oriented, involving fields like biology, engineering, and psychology, and often focused on practical applications rather than abstract computation.

### 3. **Methodological Differences:**
– McCarthy’s approach in AI research was to create an environment where artificial agents could perform tasks by thinking, using heuristic methods to solve problems. This approach was quite different from the cybernetic focus on systems dynamics, feedback loops, and regulatory mechanisms.

### 4. **AI vs. Cybernetics Communities:**
– During the 1950s and 1960s, as AI emerged as a distinct field, there was a notable division between the AI community and the cyberneticians. McCarthy, who coined the term “Artificial Intelligence” and organized the famous Dartmouth Conference in 1956, was part of shaping AI as a field that, in some ways, defined itself in opposition to cybernetics. AI was seen as focusing on creating intelligent machines, whereas cybernetics was seen as more concerned with understanding systems, including but not limited to intelligent behavior.

### 5. **Philosophical Disagreements:**
– McCarthy often expressed skepticism about some of the philosophical stances that were sometimes associated with cybernetics, such as overly broad interpretations of system theory or the applicability of cybernetic principles to all aspects of human knowledge and activity.

Despite these differences, both McCarthy’s work in AI and the broader field of cybernetics have contributed foundational concepts to the understanding of complex systems and intelligent behavior. The development of AI has since embraced many cybernetic principles, particularly in areas like neural networks and autonomous robots, showing that the fields have potential for convergence despite their initial distinctions.
_____________
Gemini:
John McCarthy, one of the founding fathers of Artificial Intelligence (AI), had several key differences with cybernetics:

1. **Focus on Symbol Manipulation:** McCarthy believed that the essence of intelligence lay in the manipulation of symbols and that creating intelligent machines required a way to represent and process abstract concepts. In contrast, cybernetics focused on feedback loops, control systems, and the study of communication within natural and artificial systems.

2. **Disinterest in Biological Models:** McCarthy was less interested in replicating biological processes as a route to intelligence. Cyberneticists like Norbert Wiener and Warren McCulloch were explicitly interested in understanding biological systems (like the brain) and applying those principles to engineering.

3. **Top-Down vs. Bottom-Up Approach:** McCarthy argued for a top-down approach to AI, focusing on developing high-level cognitive functions like reasoning and problem-solving. Cybernetics often took a more bottom-up approach, interested in understanding and building self-organizing systems that could adapt and learn.

4. **Artificial vs. Augmented Intelligence:** McCarthy aimed to build wholly artificial intelligent systems, independent of human control. Parts of cybernetics focused on augmenting human intelligence and the connection between humans and machines.

5. **Distinct Terminology:** McCarthy coined the term “Artificial Intelligence” in 1955, intentionally distinguishing his work from the existing field of cybernetics. This reflected his desire to create a new discipline focused on the specific goals of building intelligent machines.

**In Summary:**

While both fields shared a common interest in systems, information, and how machines process them, McCarthy’s work in AI aimed to break away from the more biologically focused cybernetics movement. He sought a more abstract, symbolic approach to create independent intelligent entities.
___

[I don’t expect to be in the habit of doing ‘AI’ summaries, but it seemed relevant here 😉 – and I didn’t easily find other quick sources summarising etc…]

IFSR Quarterly – now only on LinkedIn

[Email newsletter being discontinued in favour of LinkedIn]

The IFSR Quarterly informs you of the latest developments in the systems community.

(8) LinkedIn

https://www.linkedin.com/newsletters/7165311035111940096/?displayConfirmation=true

Reframing Technological Displacement of Labour: Insights from Social System Theory – Zoom seminar, 14 May 2024, 13:00 London time

ONLINE ZOOM SEMINAR, THIRD OF FOUR SEMINARS IN THE SERIES ‘SOCIETY, TECHNOLOGY AND THE HUMAN-MACHINE INTERFACE’.

Reframing Technological Displacement of Labour: Insights from Social System Theory

Tuesday 14th May 2024, 13.00-15.00 London Time, online via Zoom

To attend and receive zoom access details, please sign up using the below link. Participation is free of charge.

Sign up for event

Abstract

Approaches to the technological displacement of labour have traditionally been oriented towards critical theory, often overemphasising the cultural or economic aspects of capitalism. These approaches frequently lead to moral judgments of the process. In contrast, this lecture explores the concept of technological displacement of labour through the lens of Social System Theory, particularly drawing on the work of Niklas Luhmann. It is argued that technology, while viewed as a self-sufficient system, operates within a complex web of social systems, influencing and being influenced by them. Luhmann’s theories of autopoiesis and operational closure serve as the foundation for understanding how organisations, as autopoietic systems, interact with technology. The paper emphasises that technological displacement is not a direct result of technological advancement or monopolised by the capitalist exploitation of labour, but rather the outcome of organizational decisions within the context of their internal and external environments, especially in contemporary organisations. It challenges traditional views by suggesting that change within organisations stems from their internal dynamics and decision-making processes, rather than from external technological pressures. It contributes to the discourse by highlighting the importance of organisational self-reflection and adaptation in navigating the challenges posed by technological advancements.

Speaker biography

Dr. Erik Brezovec is an Assistant Professor at the University of Zagreb, Faculty of Croatian Studies. Within the Department of Sociology, he is the head of the courses on Sociological Theory II, Contemporary Sociological Theory, Contemporary Social Theory, Phenomenological Sociology, and Sociology of Health and Illness. His main areas of interest are meta-sociology, sociological theory, and the sociology of knowledge. Utilising his approaches, he studies various areas of social reality; one of his main areas of focus is the social aspects of alcohol consumption in Croatia. He has published over 30 scientific articles and one monograph and has participated in more than 20 conferences.

Spin-off activity | Online seminar | Society, Technology and Luhmann – Luhmann Conference