Information-based Explanations in Cognitive Science
Published in PhD Dissertation, Graduate School for Social Research, Polish Academy of Sciences, 2026
This dissertation defends a refined “neo-Information Processing Paradigm” (neo-IPP) to provide renewed support for an information-based, but mechanistically grounded foundation for cognitive science. By biologically anchoring representations in neuronal architectures and redefining how information is formatted and consumed, the theoretical framework rescues the necessity of internal representations from recent enactivist and interactivist critiques. Finally, empirical stress tests involving data compression, Representational Similarity Analysis, and generativity demonstrate that this informational approach remains indispensable for explaining flexible, high-level cognition.
Recommended citation: Mamak, W. (2026). Information-based Explanations in Cognitive Science, PhD Dissertation, Polish Academy of Sciences.
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