Universal Principles of Intelligent System Design

Author(s)
Kirill Popov; University of California, Berkeley
Aamod Shanker
Debanjan Bhowmik
Keywords
Artifical Intlligence
Intelligence; Information; Prediction; Causality; Memory; Design; Dynamical systems; Thermodynamics; Learning; epistemology

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URI
http://hdl.handle.net/20.500.12424/60985
Online Access
http://www.cosmosandhistory.org/index.php/journal/article/view/699
Abstract
We propose a universal definition of intelligence of a physical system and discuss its implications on design of intelligent systems. The definition proposed is universally valid and does not invoke teleological or anthropic concepts. We discuss the relationship of intelligence to energetic properties by invoking recent results in inequilibrium thermodynamics and computational mechanics. Intelligent system design is reformulated in three natural problems: selective forgetting, memory maintenance and self-recording. We conclude with highlighting the relationship of energetic and informational optimality principles involved in designing intelligent physical systems or their spontaneous emergence.
Date
2018-01-13
Type
Peer-reviewed Article
Identifier
oai:ojs.cosmosandhistory.org:article/699
http://www.cosmosandhistory.org/index.php/journal/article/view/699
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