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Creativity, information, and consciousness: The information dynamics of thinking
1Computational Creativity Lab, AI Lab, Vrije Universiteit Brussel, Belgium; School of Electronic Engineering and Computer Science, Queen Mary University of London, UK.
This study introduces Information Dynamics of Thinking, a theory for computational implementation and empirical testing. It models the mind/brain as an information-efficient organ that predicts and re-represents its world for optimal storage and usage.
Area of Science:
- Cognitive Science
- Computational Neuroscience
- Information Theory
Background:
- The mind/brain is conceptualized as an information processing organ.
- Existing theories lack a unified framework for information efficiency in cognitive processes.
- Shannon's information theory provides a foundational basis for understanding information processing.
Purpose of the Study:
- To present a novel theory of basic mind operation: Information Dynamics of Thinking (IDT).
- To establish a framework for computational implementation and empirical testing of cognitive theories.
- To explore the principles of information efficiency in mental processes.
Main Methods:
- Theoretical development based on information theory principles.
- Review of relevant research areas impacting cognitive theory.
- Formulation of testable hypotheses derived from the proposed theory.
Main Results:
- A theoretical model of the mind/brain as an information-efficient organ.
- The theory posits prediction for efficient information use and re-representation for efficient storage.
- Identification of consequences and testable hypotheses stemming from the Information Dynamics of Thinking.
Conclusions:
- The Information Dynamics of Thinking offers a new perspective on cognitive architecture.
- The theory provides a basis for computational modeling and empirical validation of mind operations.
- This framework advances the understanding of how the brain processes and stores information efficiently.
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