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:
👉 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:
🔹 Configurational and causal cognition
🔹 Configurational and causal compression
🔹 Linguistic divergence and hidden convergence
🔹 Systems linguistics as a tool for translation and comparison
🔹 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
The course materials are available in two ways:
🔗 Open access (self-paced): https://rational-understanding.com/gst-course/
🔗 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.
Rational-Understanding.com 