Paper Info
Title
The Cortexionist architecture: behavioural intelligence of artificial creatures
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.
Year
DOI
Venue
2010
10.1007/s00371-010-0424-3
The Visual Computer
Keywords
Field
DocType
original model,computer animation · autonomous adaptive agents · cognitive modelling · human memory,artificial life approach,connectionist architecture,intelligent behaviour,cognitive ability,cortex-like structure,cortexionist controller,artificial creature,dynamic environment,behavioural intelligence,cortexionist architecture,ecological approach,human memory,artificial life,computer animation
Artificial life,Creatures,Computer vision,Architecture,Control theory,Computer science,Artificial intelligence,Computer animation,Artificial intelligence, situated approach,Cognition,Connectionism
Journal
Volume
Issue
ISSN
26
5
1432-2315
Citations 
PageRank 
References 
2
0.37
13
Authors
4
Name
Order
Citations
PageRank
David Panzoli1398.24
Sara de Freitas282678.50
Yves Duthen316526.63
Hervé Luga45613.34