Can Agents Without Concepts Think? An Investigation Using a Knowledge Based System

  • Nicky Moss
  • Adrian Hopgood
  • Martin Weller

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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Copyright information

© Springer-Verlag London Limited 2008

Authors and Affiliations

  • Nicky Moss
    • 1
  • Adrian Hopgood
    • 2
  • Martin Weller
    • 1
  1. 1.The Open UniversityMilton KeynesUK
  2. 2.Faculty of Computing Sciences & EngineeringDe Montfort UniversityThe Gateway, LeicesterUK

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