Participating in Cognition: The Interactive Search Optimization Algorithm

. We consider the Distributed Cognition paradigm as a framework for implementing artificial components of human cognition. We take email/internet search as a setting of distributed cognition and describe an algorithm that intervenes and enhances a component of this distributed process. Results are presented demonstrating the effectiveness of the algorithm in interaction with an automaton simulating human search activity. We define a notion of synchronization with a non-random, non-Turing computation and argue that the given algorithm exhibits such synchronization behavior. Our results suggest that the framework may be useful for studying a class of non-Turing computation that is central to General Intelligence. Keywords. Distributed Cognition, Embodiment, Search Optimization, Non-Turing Computation.

• Type: Conference
• Year: 2008
• Where: AGI
• Authors: Nadav Abkasis, Israel Gottlieb, Eliraz Itzchaki
• Keywords: AGI 2008, Artificial Intelligence, Cognition Paradigm, Distributed Cognition, Non-turing Computation