Kramper, WolfgangWolfgangKramperWanker, RalfRalfWankerZimmermann, Karl-HeinzKarl-HeinzZimmermann2019-06-282019-06-282012-03-01Central European journal of computer science 1 (2): 16-32 (2012)http://hdl.handle.net/11420/2833© 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.en2299-1093201211632https://creativecommons.org/licenses/by-nc-nd/3.0/NaturwissenschaftenMathematikBiowissenschaften, BiologieTiere (Zoologie)TechnikIngenieurwissenschaftenJournal Articleurn:nbn:de:gbv:830-882.03697710.15480/882.230010.2478/s13537-012-0004-x10.15480/882.2300Journal Article