A General (Category Theory) Principle for General Intelligence: Duality (Adjointness)
نویسنده
چکیده
Artificial General Intelligence (AGI) seeks theories, models and techniques to endow machines with the kinds of intellectual abilities exemplified by humans. Yet, the predominant instance-driven approach in AI appears antithetical to this goal. This situation raises a question: What (if any) general principles underlie general intelligence? We approach this question from a (mathematical) category theory perspective as a continuation of a categorical approach to other properties of human cognition. The proposal pursued here is adjoint functors as a universal (systematic) basis for trading the costs/benefits that accompany physical systems interacting intelligently with their environment.
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تاریخ انتشار 2017