Can Agents without Concepts think? An Investigation using a Knowledge Based System

Moss, Nicholas (2007). Can Agents without Concepts think? An Investigation using a Knowledge Based System. In: AI-2007 Twenty-seventh SGAI (BCS) International Conference on Artificial Intelligence, 10-12 Dec 2007, Cambridge, UK.

URL:	http://www.bcs-sgai.org/ai2007/?t=p&u=papers&f=tec...
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Abstract

Grid-World is a working computer model which has been used to investigate the search capabilities of artificial agents that understand the world in terms of non-conceptual content. The results from this model show that the non-conceptual agent outperformed the stimulus response agent, and both were outperformed by the conceptual agent. This result provides quantitative evidence to support the theoretical argument that animals and pre-linguistic children may use non-conceptual content to understand the world. Modelling these ideas in an artificial environment provides an opportunity for a new approach to artificial intelligence.

Item Type:	Conference or Workshop Item
Keywords:	Nonconceptual, artificial intelligence, knowledge based system, agents
Academic Unit/School:	Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID:	10017
Depositing User:	Nicky Moss
Date Deposited:	30 Nov 2007
Last Modified:	07 Dec 2018 09:08
URI:	http://oro.open.ac.uk/id/eprint/10017
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