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...

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.

Viewing alternatives

Look up in Google Scholar
No digital document available to download for this item

Item Actions

Export

About

CORE (COnnecting REpositories)