Collective and distributive swarm intelligence: Evolutional biological survey

International Congress Series

Volumn 1269, Issue C, 2004, Pages 46-49

  Szu, Harold ^a   Chanyagorn, Pornchai ^b   Hwang, William ^c   Paulin, Mike ^d   Yamakawa, Takeshi ^e  

^a George Washington University   (United States)

^b MAHIDOL UNIVERSITY   (Thailand)

^c DUKE UNIVERSITY   (United States)

^d UNIVERSITY OF OTAGO   (New Zealand)

^e KYUSHU INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Neural networks; Robot ants; Swarm intelligence; Unsupervised learning

Indexed keywords

EID: 33750132295     PISSN: 05315131     EISSN: None     Source Type: Book Series    
DOI: 10.1016/j.ics.2004.06.013     Document Type: Article

References (8)

1. Bonabeau, E., et al. Swarm Intelligence: From Natural to Artificial Systems. 1999, Santa Fe Inst.
2. Kennedy, J., et al. Swarm Intelligence. 2001, Morgan Kaufmann.
3. Reynolds, C., Flocks, herds and schools: a distributed behavior model. Computer Graphics, 21, 1987.
4. Velicer1, G.J., Yuen-tsu, N., Yu (Max-Planck), evolution of novel cooperative swarming in the bacterium Myxococcus xanthus. Nature 425 (2003), 75-77.
5. Morris, S.C., The Crucible of CreationThe Burgess Shale and the Rise of Animals. 1998 Oxford.
6. Hughes, W.O.H., et al. Field evaluation of potential of alarm pheromone compounds to enhance baits for control of grass-cutting ants. Journal of Economic Entomology 95:3 (2002 (June)), 537-543.
7. H. Szu, Unsupervised learning neural nets, Computational Intelligence IEEE Press Wiley, Edited by Forgel, et al., 2003.
8. Szu, H., et al. Swarm Equilibrium Theorem for Micro-UAVs. 2004 (to appear in IJIA, WSP).