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What is Emergent Behaviour

Encyclopedia of Artificial Intelligence
Results from the unsupervised interaction of a number of simpler processes. The complex behaviour of an ant colony is a good example of emergent behaviour: the individual ants carry out their tasks on a local level, but the combined effect is of a colony that is able to maintain its own organisation.
Published in Chapter:
Swarm Robotics
Amanda J.C. Sharkey (University of Sheffield, UK)
Copyright: © 2009 |Pages: 6
DOI: 10.4018/978-1-59904-849-9.ch225
Abstract
Swarm Robotics is a biologically inspired approach to the organisation and control of groups of robots. Its biological inspiration is mainly drawn from social insects, but also from herding and flocking phenomena in mammals and fish. The promise of emulating some of the efficient organisational principles of biological swarms is an alluring one. In biological systems such as colonies of ants, sophisticated cooperative behaviour emerges despite the simplicity of the individual members, and the absence of centralised control and explicit directions. Such societies are able to maintain themselves as a collective, and to accomplish coordinated actions such as those required to construct and maintain nests, to find food, and to raise their young. The central idea behind swarm robotics is to find similar ways of coordinating and controlling collections of robots.
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Complexity-Based Modelling Approaches for Commercial Applications
The macroscopic behaviour of a complex system emerges from the individual interactions of its constituent elements.
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Software Components
Behaviour of a system that emerges from the composition of its constituent parts and that is more than the sum of the behaviours of the independent constituent components.
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Introduction to Multi-Agent Simulation
Emergent behaviour refers to the way complex systems and patterns of behaviour develop out of a multiplicity of relatively simple interactions among agents and between agents and their environment over a certain period of time.
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