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

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Research and Development in Intelligent Systems XXIV (SGAI 2007)

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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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References

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Author information

Authors and Affiliations

  1. The Open University, Milton Keynes, MK7 6AA, UK

    Nicky Moss & Martin Weller

  2. Faculty of Computing Sciences & Engineering, De Montfort University, The Gateway, Leicester, LE1 9BH, UK

    Adrian Hopgood

Authors
  1. Nicky Moss
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  2. Adrian Hopgood
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  3. Martin Weller
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Editor information

Editors and Affiliations

  1. Faculty of Technology, University of Portsmouth, Portsmouth, UK

    Max Bramer BSc, PhD, CEng, CITP, FBCS, FIET, FRSA, FHEA

  2. Department of Computer Science, University of Liverpool, Liverpool, UK

    Frans Coenen BSc, PhD

  3. University of Greenwich, UK

    Miltos Petridis DipEng, MBA, PhD, MBCS, AMBA

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© 2008 Springer-Verlag London Limited

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Cite this paper

Moss, N., Hopgood, A., Weller, M. (2008). Can Agents Without Concepts Think? An Investigation Using a Knowledge Based System. In: Bramer, M., Coenen, F., Petridis, M. (eds) Research and Development in Intelligent Systems XXIV. SGAI 2007. Springer, London. https://doi.org/10.1007/978-1-84800-094-0_16

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  • DOI: https://doi.org/10.1007/978-1-84800-094-0_16

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84800-093-3

  • Online ISBN: 978-1-84800-094-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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