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2002
Conference Paper
Titel
Brownian agent models for swarm and chemotactic interaction
Abstract
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.