DocumentCode :
445563
Title :
Evolving swarms that build 3D structures
Author :
Von Mammen, Sebastian ; Jacob, Christian ; Kókai, Gabriella
Author_Institution :
Lehrstuhl fur Programmiersprachen, Inst. fur Informatik Friedrich-Alexander-Univ., Erlangen, Germany
Volume :
2
fYear :
2005
fDate :
2-5 Sept. 2005
Firstpage :
1434
Abstract :
The complex interactions of natural swarms, for example formed by some social insects, are difficult to comprehend. Considering tasks such as nest-building, the necessary underlying communication presumably happens indirectly by changing and reacting on the environment. This paper presents an overall approach to interactively evolve rule-based swarms that create three-dimensional structures in continuous space. The approach comprises the design of the swarm agent, details about the breeding process and first results. A swarm is determined by a set of flocking parameters and a set of instructional rules that allow the agents to change their local structural environment. The center or focus of the swarm´s endeavour may be shifted either on a swarm agent or on a fixed point in space. The alteration of the supplied 3D structure during the course of evolution enables an external supervisor to interactively guide the development of a swarm.
Keywords :
artificial life; evolutionary computation; knowledge based systems; multi-agent systems; particle swarm optimisation; 3D structures; breeding process; continuous space; external supervisor; flocking parameters; instructional rules; nest building; rule-based swarms; social insects; swarm agent; swarm development; swarm evolution; swarm interaction; Anthropomorphism; Buildings; Computational modeling; Computer science; Drives; Evolutionary computation; Insects; Jacobian matrices; Lattices; Self-assembly;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2005. The 2005 IEEE Congress on
Print_ISBN :
0-7803-9363-5
Type :
conf
DOI :
10.1109/CEC.2005.1554858
Filename :
1554858
Link To Document :
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