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.
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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