Riano, Lorenzo and McGinnity, TM (2010) On the Emergence of Novel Behaviours From Complex Non Linear Systems. In: Proceeding of BICA 2010, International Conference on Biological Inspired Cognitive Architectures. IOS Press. 10 pp. [Conference contribution]
Full text not available from this repository.
Emergent behaviours are believed to be a property of complex cognitive architectures. However it is difficult to observe them in carefully engineered systems. We believe that, in order to obtain interesting and surprising behaviours, the designer has to remove some predictability requirements. To explore this we studied how the complexity, defined according to the Kolmogorov theory, is linked to truly emergent behaviours. This study has been conducted on a real robot driven by the non-linear dynamics of a recurrent neural network created using evolutionary approaches. In several experiments we found that, while a simple network is equivalent to a deterministic automata, networks of increasing complexity exhibit novel behaviours. This is due to a spontaneous background activity of the neurons which can be sustained only by a complex network. These results support the idea that in a non predictable architecture novel and surprising cognitive capabilities emerge in a natural way.
|Item Type:||Conference contribution (Paper)|
|Keywords:||cognitive robotics,genetic algorithms,neural networks,non linear|
|Faculties and Schools:||Faculty of Computing & Engineering|
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
|Research Institutes and Groups:||Computer Science Research Institute|
Computer Science Research Institute > Intelligent Systems Research Centre
|Deposited By:||Dr Lorenzo Riano|
|Deposited On:||18 Aug 2011 15:27|
|Last Modified:||18 Aug 2011 15:27|
Repository Staff Only: item control page