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Moss, Nicholas
(2007).
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.
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About
- Item ORO ID
- 10017
- Item Type
- Conference or Workshop Item
- Keywords
- Nonconceptual, artificial intelligence, knowledge based system, agents
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Depositing User
- Nicky Moss