© 2012 Versita Warsaw. The emergent collective intelligence of groups of simple agents known as swarm intelligence is a new exiting way of achieving a form of artificial intelligence. This paper studies a formal model for swarm intelligence inspired by biological swarms found in nature. Software agents are used to model the individuals of a swarm. Each agent is controlled by a neural network that processes position data from the others in its visible zone given by a compound eye and in this way navigates in 3D space. An additional input parameter is used to represent the agent's motivation to form a swarm. Simulations with different motivation parameters exhibit remarkable agent formations that can be considered as biologically plausable. Several ways to improve the model are discussed.


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    Title :

    Analysis of swarm behavior using compound eye and neural network control


    Contributors:

    Publication date :

    2012-03-01


    Remarks:

    doi:10.15480/882.2300



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :