| [176925] |
| Title: Analysis of swarm behavior using compound eye and neural network control. |
| Written by: Wolfgang Kramper, Ralf Wanker and Karl-Heinz Zimmermann |
| in: <em>Central European Journal of Computer Science (CEJCS)</em>. March (2012). |
| Volume: <strong>2</strong>. Number: (1), |
| on pages: 16-32 |
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| Publisher: De Gruyter Open: |
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| ISBN: 10.2478/s13537-012-0004-x |
| how published: 12-85 KWZ12 CEJCS |
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Note: khzimmermann, AEG
Abstract: 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.