Emergent Behaviours Driven by Chaotic Dynamics

Lorenzo Riano; TM McGinnity

Emergent Behaviours Driven by Chaotic Dynamics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We explore the emergence of behaviours in a chaos driven robot. A two neurons neural network exhibits a rich variety of dynamics when stimulated with input. We linked the phase space of the network to two behaviour activation levels. A people detector is the input to the network. The results are surprising and they contradict the expectations, which is a clear signal of the emergence of non-programmed behaviours. An analysis and discussion of the results is presented, with pointers to future development and applications.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	IEEE Xplore
Number of pages	6
Publication status	Published - 2010
Event	In Proc. of Learning and Adaptive Behaviour in Robotics Systems - Duration: 1 Jan 2010 → …

Conference

Conference	In Proc. of Learning and Adaptive Behaviour in Robotics Systems
Period	1/01/10 → …

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Riano, L., & McGinnity, TM. (2010). Emergent Behaviours Driven by Chaotic Dynamics. In Unknown Host Publication IEEE Xplore. http://isrc.ulster.ac.uk/images/stories/Staff/Robotics/Members/LRiano/Documents/lab-rs.pdf

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title = "Emergent Behaviours Driven by Chaotic Dynamics",

abstract = "We explore the emergence of behaviours in a chaos driven robot. A two neurons neural network exhibits a rich variety of dynamics when stimulated with input. We linked the phase space of the network to two behaviour activation levels. A people detector is the input to the network. The results are surprising and they contradict the expectations, which is a clear signal of the emergence of non-programmed behaviours. An analysis and discussion of the results is presented, with pointers to future development and applications.",

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AB - We explore the emergence of behaviours in a chaos driven robot. A two neurons neural network exhibits a rich variety of dynamics when stimulated with input. We linked the phase space of the network to two behaviour activation levels. A people detector is the input to the network. The results are surprising and they contradict the expectations, which is a clear signal of the emergence of non-programmed behaviours. An analysis and discussion of the results is presented, with pointers to future development and applications.

M3 - Conference contribution

BT - Unknown Host Publication

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T2 - In Proc. of Learning and Adaptive Behaviour in Robotics Systems

Y2 - 1 January 2010

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