Coevolving Innovations

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Systems thinking, systems that learn, and learning in service systems 0

Posted on May 01, 2012 by daviding
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Does systems thinking lead to systems that can learn as they evolve (or devolve)? How does a service system continue to learn about purposes (and objectives and goals) in its wholes and its parts? When a service system learns that change is called for, can that system consciously act to evolve (or devolve)?

Focusing on definitions of science and of systems thinking can lead to thinking about a static thing, rather than intellectual virtues that changes over time. Applying systems thinking to science, the intellectual virtues of episteme (know why), techne (know how) and phronesis (know when, know where, know whom) can each or all evolve. Actually, they coevolve, because the why, how, when, where and whom are all changing simultaneously.

Many of today’s services systems are under stress, possibly reaching a point of unsustainability. Does (or would) systems thinking help? To be concise, let’s try some responses to the three questions at the outset of this essay.

  • Does systems thinking lead to systems that can learn as they evolve (or devolve)?
    • A system in which systems thinking has contributed towards its design should have had features or properties included that are appropriate for its environment. If the environment changes, the fitness of the system may or may not degrade. A system intended for volatile environments may be have been designed to respond to change, or to fail — potentially gracefully — with signals that a more appropriate replacement should be put in place. The range of designs from fragile to “over-engineered” reflects different approaches to handling environmental change.
  • How does a service system continue to learn about purposes (and objectives and goals) in its wholes and its parts?
    • A service system — potentially socially constructed, and/or developed from natural resources — can be designed for its whole to serve both a collective (e.g. a community, a nation) and/or an individual. In addition, parts of that system may satisfy goals for others, as a byproduct. The wants and needs of service recipients may evolve, however.
  • When a service system learns that change is called for, can that system consciously act to evolve (or devolve)?
    • As the function provided by a system degrades or fails, the choices are either to (i) decommission the old service and start up a new service, or (ii) change the existing systems as it continues to operate. This latter choice requires a system that not only adapts to its environment, but also learns.

A service designed with systems thinking may have a productive lifespan that is short or long. Designing a service system that remains viable over a brief life cycle can be a challenge. Designing a service system that can learn and appropriately evolve with a highly variable environment is a bigger challenge.

In systems thinking, the idea of learning has been well developed. The remainder of this essay outlines some of the foundational appreciation on learning from systems research, and adds some recent theories coinciding with the practice turn in contemporary theory [Schatzki, Knorr-Cetina, von Savigny (2001)].

  • A. A system can maintain its purpose under constant conditions by adapting, and under changing conditions by learning.
  • B. Learning can typed at multiple levels: (1) change within a set of alternatives; (2) change in the set of alternatives; (3) change in the system of sets of alternatives; and (4) change in the development of systems of sets of alternatives.
  • C. Both physical systems and human systems can learn, if sufficient resources are reserved for long term maintenance.
  • D. In human systems, social participation is a process of learning and knowing that includes meaning, practice, community and identity

Systems thinking about systems thinking should include a greater emphais on design for learning. Each of the above assertions is supported in the sections that follow.

Science, systems thinking, and advances in theories, methods and practices 1

Posted on January 18, 2012 by daviding
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Commenting on the Overview of Systems Science (draft version 0.5) for the Guide to the Systems Engineering Book of Knowledge is problematic. Applying systems thinking on systems thinking constitutes a mess of ideas that is difficult to tease apart. Breaking the idea of “systems science” in its parts of (i) “systems” and (ii) “science” is reductive. The more compatible approach is to view “science” with a larger context of “systems thinking”.

I’ll attempt to shed some more light on concerns and perspectives in the following sections:

  • 1. The definition of science often tends towards disciplinarity; systems thinking aims for transdisciplinarity
  • 2. Science is part of thinking, which can be philosophically framed as episteme (know why), techne (know how) and phronesis (know when, know when, know whom)
  • 3. Domains of systems thinking can be categorized into systems theory, systems methods, and systems practice
  • 4. Incomplete systems thinking may suggest paths through which gaps may be filled
  • 5. Systems thinking has evolved with roots of linear causality, circular causality, complexity theory and reflexivity theory
  • 6. Opportunities to refresh ties between systems thinking and action science, theory of practice and social learning could be pursued

The discussion of science and systems thinking leads to perspectives at another level. There’s an additional appendix on applied philosophy that illustrates that such inquiries are not without history.

1. The definition of science often tends towards disciplinarity; systems thinking aims for transdisciplinarity

In a previous post on systems thinking and (the) systems science(s) in a system of ideas, the correlation between the term “systems science” and “social systems science” at the University of Pennsylvania was reviewed. While “social systems science” was chosen as a term to be purposively clumsy, Russell Ackoff preferred more generally to use the label of “systems thinking”, obviating some criticisms on definitions of science. Science tends to be organized as disciplines. In the Oxford English Dictionary, one definition of discipline is “a branch of instruction or education; a department of learning or knowledge; a science or art in its educational aspect”. Another is “a particular course of instruction to disciples”, which implies a master. Ackoff criticized disciples as anti-systemic, challenging his students and followers to transcend his body of work.

The Meta-design of Dialogues as Inquiring Systems 1

Posted on January 13, 2012 by daviding
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Dialogic design and systems thinking can be closely related, although not everyone appreciates the ties.  For the Design with Dialogue community, at the invitation of Peter Jones, we jointly organized a workshop based on some ideas that I had previously brought together in teaching in Finland.  I’ve posted the slides — both with builds and as printable — over on the Coevolving Commons.  For people who weren’t there, I can provide an outline of the activities of the three hours.

After introducing ourselves in the circle, and speaking about dialogues that each of us might be interested in pursuing, I provided an explanation of the Map of Ignorance, as described in the Curriculum on Medical Ignorance by Witte, Kerwin and Witte in the University of Arizona College of Medicine.  We walked through the interpretation of Unknown Knowns, Known Unknowns, and Errors.

Unknown Knowns, Known Unknowns, Errors

Unknown Knowns, Known Unknowns, Errors

Unknown unknowns raise questions about what might or might not be knowable.

Unknown Unknowns

Unknown Unknowns

Taboos and denials typically don’t enter a dialogue unless the facilitator ensures that they do.

Systems thinking and (the) systems science(s) in a system of ideas 0

Posted on November 20, 2011 by daviding
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On the discussion list of the Systems Science Working Group, there’s a request to comment on the Overview of Systems Science wiki page (draft version 0.5) that is part of the Guide to Systems Engineering Book of Knowledge.  Basic descriptions are hard to write.  Asking the “what is …” question is a challenge of ontology, and may not cover the “why …” question coming from the perspective of teleology or the “how …” question coming from the history and philosophy of science.

I appreciate that novices like definitions.  In a scholarly style, I generally cite descriptions by individual thinkers who each have a system of ideas.  In an attempt to appreciate commonalities and differences between prominent figures in the systems movement, I had been hosting a series of Systems Sciences Connections Conversations aimed at traversing social ties between individuals.  As a fun example, we asked Allenna Leonard if Stafford Beer and Jane Jacobs knew each other, as they both lived in the Annex neighbourhood in Toronto.  Allenna’s response was, of course, they would see each other in places like the drug store.  Stafford Beer did use Cities and the Wealth of Nations as a foundation for his work in Uruguay, but there wasn’t really an occasion for ongoing collaboration.  Developing a network of systems of ideas is a more modest endeavour than trying to create a system of system of ideas.

Describing the world in objective entities isn’t the way I think.  I’m strongly influenced by the idea of reflexivity (described in the context of social theory on Wikipedia).  Pierre Bourdieu invited a path into his system of ideas as reflexive sociology.  George Soros has a general theory of reflexivity.

For descriptions in this domain — not definitions, for which a dictionary might be a better source — I’ll defer to International Encyclopedia of Systems and Cybernetics, edited by Charles François.  I have a copy of the 1997 first edition, which was superseded by a larger 2004 second edition that I haven’t seen.  Based on some entries in this encyclopedia, some Russell Ackoff readings, and my accumulated perspective on systems, I’ll make some assertions.

  • 1. Systems thinking and the systems sciences are parts of an ecology of knowledge
  • 2. Systems thinking prescribes an ordering of synthesis and analysis, emphasizing superordinates (containing wholes)
  • 3. The development of the “systems sciences” historically correlates with the rise of the “social systems sciences” program at the University of Pennsylvania
  • 4. The systems sciences have a heritages in cybernetics and general systems theory
  • 5. Systems thinking and the systems sciences manifest as systems approaches

For considerations of length, the Systems Science Working Group may split the content into two separate articles on systems science and systems methodology.

1. Systems thinking and the systems sciences are parts of an ecology of knowledge

Systems thinking and the systems science could be seen as subfields of knowledge.  They’re related, yet distinct.  Applying systems thinking on describing systems thinking leads to describing an ecology.

ECOLOGY of KNOWLEDGE

“The study of pattern of interrelationships among the various “species” (subsystems, sub-subsystems, etc.) and fields and subfields of knowledge with emphasis on:

Systems thinking courses in Finland: cycle two, learning from cycle one 0

Posted on November 02, 2011 by daviding
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Over in Finland, Gary Metcalf has just started teaching a systems thinking class in the Creative Sustainability program at Aalto University.  Speaking with him yesterday, he described a situation similar to that which I experienced last year:  graduate students intrigued by systems ideas, yet slightly overwhelmed with the shift in perspective; and an appreciation that an intensive class taught over eight days is a lot of territory to cover.  The scheduling of two courses — one in the fall, and one in the spring — fortunately allows some time for intuitions to naturally develop in reflection, between the two weeks of formal classes.  Learning is not a linear activity.

Students — who take these systems thinking courses as a requirement, not an elective — may wonder how these courses came to be.  I served as content creator for two new courses on systems thinking at Aalto University in October 2010 and in February 2011.  The ISSS Hull 2011 meeting provided me with an opportunity to summarize the context and thinking that went into developing the two systems thinking courses de novo for Aalto University.  This article — “Systems Thinking Courses in the Master’s Programme on Creative Sustainability at Aalto University: Reflections on Design and Delivery of the 2010-2011 Sessions” — is available on the Coevolving Commons, and published in the Proceedings of the 55th Annual Meeting of the ISSS.  At ISSS Hull 2011, the outline was presented as a map.

Map: Systems Thinking Courses in the Master's Programme in Creative Sustainability at Aalto University

Some people will be interested in the course content per se.  The artifacts for CS0004 in October 2010 and CS0005 in February 2011 continue to be available as open courseware accessible over the Internet.  (Gary has now taken responsibility to evolve that content).  As I wrote descriptions about the course journey, the article itself surfaced systemic perspectives.  In order to describe CS0004 (in section 4) and CS0005 (in section 5), the preconditions of the context (in section 2) and an implicit design approach (in section 3) came to the fore.  The five sections of the resulting article are:

Commonalities and potential synergies between systems engineering and systems science 0

Posted on October 25, 2011 by daviding
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Where might systems engineers and systems scientists productively collaborate?  The idea is simple; responses require some deliberation.

A novice might refer to the Wikipedia description of systems engineering (that doesn’t refer to the systems sciences), and the Wikipedia description of systems science (that sees systems engineering as an application).  A professional might  refer to “What is Systems Engineering” as a consensus by the INCOSE fellows, and the origins and purposes of the ISSS describing the evolution from the Society for General Systems Research and roots in American Association for the Advancement of Science.

Members of INCOSE and the ISSS are collaborating on the Systems Science Working Group wiki, complemented by an associated discussion group.  This open electronic space is independent of both the incose.org and isss.org domains, supporting an opportunity for wider participation.

A White Paper on Systems Science / Systems Engineering Synergies was led by Gary Metcalf, with a first draft released on June 9.  This was complemented by a slide presentation at the INCOSE International Symposium 2011 in Denver on June 20. and a workshop at ISSS Hull 2011 on July 20.

Version 1.1. of the white paper was posted on the SysSciWG wiki on September 26, with a welcome for more comments.



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