How can the blind men see the elephant?


There is no denying the fact that AI's original aim of reproducing human-level intelligence has taken a back seat in favor of the development of practical and efficient systems for important but narrow domains under numerous umbrellas. While the importance of perception for intelligence is now well-understood, a major hurdle is to discover the appropriate representation and processes that can seamlessly support low-level perception and high-level cognition in a computational architecture. There is no shortage of cognitive architectures (see Samsonovich 2010 for a catalog), however, principied design is scarce. In this paper, we explicate our position and report on our ongoing investigations on representation and processes for developing an intelligent agent from first principles. Copyright © 2013, Association for the Advancement of Artificial Intelligence. All rights reserved.

Publication Title

AAAI Fall Symposium - Technical Report

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