Original Article

The Visual Computer

, Volume 26, Issue 5, pp 353-366

First online:

The Cortexionist architecture: behavioural intelligence of artificial creatures

  • David PanzoliAffiliated withIRIT-CNRS, Université de Toulouse Email author 
  • , Sara de FreitasAffiliated withSerious Games Institute, Coventry University
  • , Yves DuthenAffiliated withIRIT-CNRS, Université de Toulouse
  • , Hervé LugaAffiliated withIRIT-CNRS, Université de Toulouse

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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.

Keywords

Computer animation Autonomous adaptive agents Cognitive modelling Human memory