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Published on: March 2, 2015
Towards a computational theory of experience
1Department of Biomedical Engineering, Stony Brook University, Bioengineering Building, Room 111, Stony Brook, NY 11794-5281, United States. tomer.fekete@gmail.com
This study proposes necessary conditions for a computational theory of phenomenal experience (qualia). It argues that dynamic trajectories, not static activity, are essential for explaining subjective experience in the science of mind.
Area of Science:
- Cognitive Science
- Neuroscience
- Philosophy of Mind
Background:
- Explaining phenomenal experience (qualia) computationally is a significant challenge.
- Existing neurocomputational theories often rely on static representations, which may be insufficient.
Purpose of the Study:
- To identify necessary conditions for a computational theory of qualia.
- To propose a novel framework for a naturalistic computational theory of experience.
Main Methods:
- Analysis of existing computational theories of mind.
- Development of criteria for intrinsic explanations of qualia.
- Conceptualization of a dynamic, trajectory-based computational model.
Main Results:
- Common neurocomputational models fail to meet necessary conditions for explaining qualia.
- Static activity vectors are inadequate for representing subjective experience.
- A theory based on dynamical activity-space trajectories is proposed.
Conclusions:
- A computational theory of qualia must account for dynamic processes.
- Experience is realized by trajectories in activity space, not static points.
- The representational capacity of trajectory spaces determines the richness of experience.
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