Can agents without concepts think? an investigation using a knowledge based system

MOSS, Nicky, HOPGOOD, Adrian and WELLER, Martin (2008). Can agents without concepts think? an investigation using a knowledge based system. In: Research and Development in Intelligent Systems. Springer, 211-222.

Preview

PDF AI2007submission-MossHopgoodWeller.pdf - Accepted Version Download (79kB) | Preview

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:	Book Section
Research Institute, Centre or Group - Does NOT include content added after October 2018:	Materials and Engineering Research Institute > Modelling Research Centre > Microsystems and Machine Vision Laboratory
Identification Number:	https://doi.org/10.1007/978-1-84800-094-0_16
Page Range:	211-222
Depositing User:	Adrian Hopgood
Date Deposited:	31 Aug 2012 13:16
Last Modified:	18 Mar 2021 08:04
URI:	https://shura.shu.ac.uk/id/eprint/5647

Actions (login required)

View Item

Downloads

Publication Metrics