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Emergent Behaviours At The Edge of Chaos

Riano, Lorenzo and McGinnity, TM (2010) Emergent Behaviours At The Edge of Chaos. In: Proc. of Towards Autonomous Robotic Systems, TAROS 10. TAROS. 7 pp. [Conference contribution]

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URL: http://isrc.ulster.ac.uk/images/stories/Staff/Robotics/Members/LRiano/Documents/taros10.pdf


Emergent behaviours are a welcome feature in a robot that is expected to work in the real world. However they are too often the result of careful engineering, thus lacking a ``true emergent'' component. Here we explore the emergence of behaviours in a chaos driven robot. A random recurrent neural network drives the activation of several behaviours. Attractors in the network are created by using an unsupervised Hebbian learning mechanism. These attractors live at the edge between chaos and low-period dynamics. We show, with three experiments conducted on a real robot, that emergent behaviours arise when online learning is adopted. An analysis of results proves that this is the case when attractor learning is adopted. This suggests a methodology to obtain surprising emergent behaviours.

Item Type:Conference contribution (Paper)
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 > Intelligent Systems Research Centre
Computer Science Research Institute
ID Code:19197
Deposited By: Dr Lorenzo Riano
Deposited On:01 Aug 2011 14:26
Last Modified:01 Aug 2011 14:26

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