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Brownian agent models for swarm and chemotactic interaction

: Schweitzer, F.

Polani, D. ; Univ. Lübeck, Institut für Neuro- und Bioinformatik:
Fifth German Workshop on Artificial Life 2002. Abstracting and synthesizing the principles of living systems : March 18-20, 2002, Lübeck, Germany
Berlin: Akademische Verlagsgesellschaft Aka, 2002
ISBN: 3-89838-030-0
ISBN: 978-3-89838-030-0
German Workshop on Artificial Life (GWAL) <5, 2002, Lübeck>
Conference Paper
Fraunhofer AIS ( IAIS) ()
agent-based modeling; multi-agent system; swarming

Brownian agents denote a particular class of agents that combines features of reactive and reflexive agent concepts. A Brownian agent is characterized by a set of state variables that include also internal degrees of freedom. The dynamics of these state variables is in general described by a stochastic equation that further considers direct and indirect interactions with other agents and external influences. An important state variable, the internal energy depot, captures the costs of each action of the agent. In the paper, we discuss two biological applications of the Brownian agent concept: (i) the formation of swarms which depends on the active motion of the agents and some appropriate coupling, (ii) the formation of aggregates based on chemotactic interaction of the agents. We also demonstrate one of the major advances of the Brownian agent concept, namely the derivation of macroscopic equation from the agent dynamics, which can be used to analyze and predict the behavior of the MAS.