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The Cortexionist architecture: behavioural intelligence of artificial creatures

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Abstract

Traditionally, producing intelligent behaviours for artificial creatures involves modelling their cognitive abilities. This approach raises two problems. On the one hand, defining manually the agent’s knowledge is a heavy and error-prone task that implies the intervention of the animator. On the other hand, the relationship between cognition and intelligence has not been theoretically nor experimentally proven so far. The ecological approaches provide a solution for these problems, by exploring the links between the creature, its body and its environment. Using an artificial life approach, we propose an original model of memory based on the synthesis of several neuroscience theories. The Cortexionist controller integrates cortex-like structure into a connectionist architecture in order to enhance the agent’s adaptation in a dynamic environment, ultimately leading to the emergence of intelligent behaviour. Initial experiments presented in this paper prove the validity of the model.

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Authors and Affiliations

  1. IRIT-CNRS, Université de Toulouse, UMR 5505, Toulouse, France

    David Panzoli, Yves Duthen & Hervé Luga

  2. Serious Games Institute, Coventry University, Coventry, UK

    Sara de Freitas

Authors
  1. David Panzoli
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  2. Sara de Freitas
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  3. Yves Duthen
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  4. Hervé Luga
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Correspondence to David Panzoli.

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Panzoli, D., de Freitas, S., Duthen, Y. et al. The Cortexionist architecture: behavioural intelligence of artificial creatures. Vis Comput 26, 353–366 (2010). https://doi.org/10.1007/s00371-010-0424-3

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