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.

AI2007submission-MossHopgoodWeller.pdf - Accepted Version

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    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 > Centre for Automation and Robotics Research > Mobile Machine and Vision Laboratory
    Identification Number:
    Page Range: 211-222
    Depositing User: Adrian Hopgood
    Date Deposited: 31 Aug 2012 13:16
    Last Modified: 16 Nov 2018 12:24

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