Categories
EFGST

Productive Coordination

Why is it so difficult to combine knowledge from different disciplines?

An economist, sociologist, psychologist, engineer, and biologist may examine closely related aspects of reality, yet describe them using different concepts, terminology, and forms of explanation.

The problem may not be disagreement. They may simply be unable to see how their different perspectives fit together.

My latest paper in the General Systems Theory series explores a possible way forward:

๐Ÿ‘‰ Productive co-ordination

The proposed process is simple in principle: Decompress โ†’ Recompress โ†’ Compare

Specialist propositions are first translated into plain language. Their underlying systems structuresโ€”entities, processes, transfers, constraints, feedbacks, and related conceptsโ€”are then identified using a common systems idiom.

The resulting structures can be compared and this may reveal:

๐Ÿ”น Equivalence
๐Ÿ”น Complementarity
๐Ÿ”น Nesting
๐Ÿ”น Contradiction
๐Ÿ”น Independent utility

The objective is not to force agreement. It is to understand more clearly how different perspectives relate to one another.

But developing the methodology revealed a deeper problem. Most attempts to create a common systems language focus upon developing a common systems vocabulary or idiom.

Yet language does more than name things. Its grammatical structures also represent relationships, processes, and causality. If reality is systemic, and language evolved to represent reality, then systems structures may already be reflected within language itself.

This suggests a potentially important distinction between:

๐Ÿ”น The Systems Idiom โ€“ a common vocabulary for expressing systems structures.

๐Ÿ”น Systems Linguistics โ€“ the study of how systems structures are represented within language.

At present, productive co-ordination can compare identified systems concepts and structures. A more developed systems linguistics may eventually allow deeper comparison between the propositions and causal structures expressed by different disciplines.

This may be one of the missing pieces in the long-standing General Systems Theory dream of integrating knowledge across disciplinary boundaries.

Alongside the paper, I have published four short General Systems Theory course modules featuring plain-English explanations, diagrams, examples, and practical exercises:

GST 38 โ€“ Productive Co-ordination
GST 39 โ€“ The Productive Co-ordination Process
GST 40 โ€“ Comparing Perspectives
GST 41 โ€“ Systems Linguistics and the Systems Idiom

Both the paper and course modules are open access.

The paper is available at:

https://www.academia.edu/169817426/Productive_Co_ordination

https://rational-understanding.com/efgst

The course materials are available in two ways:

๐Ÿ”— Open access (self-paced):
https://rational-understanding.com/gst-course

๐Ÿ”— Supported learning: via Google Classroom through the ISSS Student SIG.

Those in full-time or part-time education are especially encouraged to join the Student SIG, where they can benefit from guidance by experienced systems scientists, discussion with fellow learners, and access to a wider international community. To join, go to ISSS.

I hope the paper proves useful to those interested in systems theory, interdisciplinary research, communication, knowledge integration, and the future of collective problem-solving.

Categories
EFGST

Systems Linguistics: Representation, Compression, and Productive Coordination

Why do intelligent people looking at the same reality often describe it in completely different ways?

An economist, a psychologist, an engineer, a biologist, and a sociologist may all study the same broad phenomenon, yet use different concepts, different terminology, and different explanations.

The result is often misunderstanding, fragmentation, and difficulty working together.

My latest paper in the General Systems Theory series explores a simple but powerful idea:

๐Ÿ‘‰ Human understanding depends upon compression.

Reality is far too complex to comprehend in full detail. We therefore simplify it through concepts, models, symbols, language, and theories. Different people, disciplines, and cultures develop different compressions of overlapping aspects of reality.

This helps explain both the extraordinary power of human knowledge and the communication difficulties that frequently arise between individuals, disciplines, and communities.

The paper introduces and explores:

๐Ÿ”น Configurational and causal cognition
๐Ÿ”น Configurational and causal compression
๐Ÿ”น Linguistic divergence and hidden convergence
๐Ÿ”น Systems linguistics as a tool for translation and comparison
๐Ÿ”น Productive coordination as a means of improving shared understanding

Ultimately, the paper asks a broader question:

How can finite minds understand an infinitely complex reality well enough to coordinate action and maintain viability?

Alongside the paper I have also published a new set of General Systems Theory course modules featuring plain-English explanations, diagrams, examples, and practical exercises.

Both the paper and the course modules are open access. The paper is available at:

https://rational-understanding.com/efgst

https://www.academia.edu/169040199/Systems_Linguistics_Representation_Compression_and_Productive_Coordination

The course materials are available in two ways:

๐Ÿ”— Open access (self-paced): https://rational-understanding.com/gst-course/

๐Ÿ”— Supported learning: via Google Classroom through the ISSS Student SIG

Those in full-time or part-time education are especially encouraged to join the Student SIG, where they can benefit from guidance by experienced systems scientists, discussion with fellow learners, and access to a wider international community. To join go to: https://isss.org

I hope it proves useful to those interested in systems theory, communication, complexity, interdisciplinary research, and the future of collective problem-solving.