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Reasoning about conscious experience with axiomatic and graphical mathematics.
Camilo Miguel Signorelli1, Quanlong Wang2, Bob Coecke2
1Department of Computer Science, University of Oxford, United Kingdom; Cognitive Neuroimaging Unit, INSERM U992, NeuroSpin, France; Center for Brain and Cognition, Universitat Pompeu Fabra, Spain.
This study introduces a mathematical framework for consciousness using process theories. It demonstrates how this axiomatic calculus naturally explains key features of subjective experience, like privacy and unity.
Area of Science:
- Mathematical Physics
- Cognitive Science
- Philosophy of Mind
Background:
- Understanding consciousness scientifically remains a challenge.
- Existing models struggle to explain subjective experience's core features.
- A need exists for novel theoretical frameworks.
Purpose of the Study:
- To develop an axiomatic mathematical framework for consciousness.
- To utilize general process theories for modeling subjective experience.
- To demonstrate the framework's ability to explain key aspects of consciousness.
Main Methods:
- Employing the graphical calculus of general process theories (symmetric monoidal categories and Frobenius algebras).
- Utilizing ontological neutrality inherent in process theories.
- Applying an axiomatic calculus to a toy example.
Main Results:
- The axiomatic calculus naturally recovers distinctions between internal and external subjective experience.
- The framework explains the privacy or unreadability of personal subjective experience.
- Phenomenal unity, a key challenge in consciousness studies, is derived from the calculus's compositional nature.
Conclusions:
- Axiomatic mathematical frameworks based on process theories offer a powerful approach to consciousness.
- The compositional nature of these theories is crucial for explaining complex features of subjective experience.
- This work provides a novel, formal method for the scientific study of consciousness.
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