Moss, Nicholas
(2007).
| URL: | http://www.bcs-sgai.org/ai2007/?t=p&u=papers&f=tec... |
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| Google Scholar: | Look up in Google Scholar |
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 Item |
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| Keywords: | Nonconceptual, artificial intelligence, knowledge based system, agents |
| Academic Unit/Department: | 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: | 02 Aug 2016 13:12 |
| URI: | http://oro.open.ac.uk/id/eprint/10017 |
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