@article{KWZ12,
author = {Wolfgang Kramper, Ralf Wanker and Karl-Heinz Zimmermann},
title = {Analysis of swarm behavior using compound eye and neural network control.},
journal = {Central European Journal of Computer Science (CEJCS).},
year = {2012},
volume = {2.},
number = {(1),},
pages = {16-32},
month = {March},
note = {khzimmermann, AEG},
publisher = {De Gruyter Open:},
isbn = {10.2478/s13537-012-0004-x},
howpublished = {12-85 KWZ12 CEJCS},
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.}
}

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