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Erschienen in:
2013 | OriginalPaper | Buchkapitel
A Multiagent Based Framework for the Simulation of Mammalian Behaviour
verfasst von : Emmanuel Agiriga, Frans Coenen, Jane Hurst, Darek Kowalski
Erschienen in: Research and Development in Intelligent Systems XXX
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Abstract
A Mammalian Behaviour Multi-Agent Based Simulation (MBMABS) framework is proposed. Central to the framework is the concept of a behaviour lattice comprised of vertices representing states and edges representing possible state changes. State changes occur as a result of an agent completing some self-appointed task or as a result of some external event. Each state has one one or more predefined potential follow on states. Where there is more than one follow on state selection is made according to a weighted random selection process. The weightings are derived dynamically according to individual agent desires. The elements of the MBMABS framework are described in detail. The operation of the framework is illustrated using a case study.