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Exploring generalizations of Integrated Information Theory to address technical issues and extend applicability beyond classical systems, using category theory and process theories.
Explore mathematical approaches to modeling consciousness using category theory and graphical calculus, examining key aspects like subjective experience and phenomenal unity.
Explore how physical space and language interact to create meaning, using formal mechanisms to model spatial-linguistic relationships and draw inferences from our embodied experiences.
Explore a mathematical framework for cognitive architectures using category theory, examining rewriting, virtual equipments, and profunctor optics to formalize complex cognitive mechanisms.
Explore how minds and thoughts are constructed through cognitive processes, examining the nature of consciousness, memory, and perception using interdisciplinary models and mathematical frameworks.
Exploring brain's information processing architecture and its role in consciousness through integrated information decomposition, revealing a synergistic global workspace crucial for conscious experience.
Explore the intriguing connection between Gödel's Incompleteness Theorem and consciousness, critically examining Hofstadter's analogies and their implications for understanding the mind-body problem.
Explores why causal structure is essential for theories of consciousness, using thought experiments to argue that functionalist accounts lacking causal analysis are inadequate for identifying conscious individuals.
Explore quantum collapse theories and their implications for consciousness, examining physical closure and epistemic asymmetry in scientific theories of mind.
Explores types of variations in consciousness models, proving broad functionalist theories immune to substitution arguments. Discusses implications for consciousness science and functionalism.
Explore a vector model of consciousness based on Integrated Information Theory, examining how phenomenal experiences can exert causal influence on physical substrates.
Explore the intersection of Integrated Information Theory and Partial Information Decomposition to understand consciousness and causal emergence, offering new perspectives on mental phenomena and selfhood.
Exploring the relationship between morphological computation and integrated information in embodied agents, highlighting their antagonistic nature and impact on brain-body-environment interactions.
Exploring phenomenal holism through category theory, examining color experiences across the visual field and addressing theoretical concerns about inverted qualia and experience-substrate relationships.
Automata-theoretic approach to modeling consciousness in mental monism, exploring constraints and implications for substrate-free models of the mind's structure and dynamics.
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