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Circular Causation, Circular Cognition: A Tour Around Some Common Confusions
1University of Sussex, Evolutionary and Adaptive Systems Group. inmanh@gmail.com.
Artificial Life
|November 8, 2019
Summary
Understanding circular causation in life and cognition is challenging. This study clarifies confusions by distinguishing system features and highlights the predictive power of circular explanations for persisting phenomena.
Area of Science:
- Systems theory
- Cognitive science
- Dynamical systems
Background:
- Life and cognition are complex circular dynamical processes.
- Human understanding of circular causation is often limited, leading to confusions.
- Distinguishing local and global system features is crucial for analysis.
Purpose of the Study:
- To clarify common confusions related to circular causation.
- To analyze the mechanisms and principles behind circular causal explanations.
- To explore the predictive power of circular explanations for stable phenomena.
Main Methods:
- Analysis of case studies illustrating confusions in circular causation.
- Conceptual analysis distinguishing local and global system descriptors.
- Examination of principles of normal settlement in causal explanations.
Main Results:
- Circular causation explanations, while not addressing origins, possess predictive power.
- Proper distinction between system features aids in understanding circular dynamics.
- Principles of normal settlement underpin effective circular causal explanations.
Conclusions:
- Circular causation is fundamental to life and cognition but difficult to grasp.
- Distinguishing system features is key to resolving confusions in circular causation.
- Circular explanations are valuable for predicting persisting phenomena.
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