Abstract
A multiagent-based programming paradigm (MAP) is described for the evolution of the bio-inspired complex system, e.g., genetic, and active walker (swarm and ant intelligence) models. Since the reaction rules are inherently parallel, any number of actions can be performed cooperatively or competitively among the subsets of the agents, so that the system evolve reaches an equilibrium (or a chaotic or an emergent) state. Practical realisation of this paradigm can be achieved through agent architectures – Adaptive agent and the Java–based Cougaar.
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Arkin, R.C.: Behavior-based Robotics. M.I.T. Press, Cambridge (1998)
Bar-Cohen, Y., Breazeal, C.: Biologically-Inspired Intelligent Robotics. S.P.I.E. Press, Bellingham (2003)
Blackwell, T., Branke, J.: Multi-swarm Optimization in Dynamic environments. In: Raidl, G.R., Cagnoni, S., Branke, J., Corne, D.W., Drechsler, R., Jin, Y., Johnson, C.G., Machado, P., Marchiori, E., Rothlauf, F., Smith, G.D., Squillero, G. (eds.) EvoWorkshops 2004. LNCS, vol. 3005, pp. 489–500. Springer, Heidelberg (2004)
Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm Intelligence:From natural to artificial systems. Oxford University Press, Oxford (1999)
Chu, S., et al.: Parallel Ant colony Systems. In: Zhong, N., Raś, Z.W., Tsumoto, S., Suzuki, E. (eds.) ISMIS 2003. LNCS (LNAI), vol. 2871, pp. 279–284. Springer, Heidelberg (2003)
de Castro, L.N., Timmis, J.I.: Artificial Immune Systems: a New computational Intelligence Approach. Springer, New York (2002)
Dorigo, M., Di Caro, G.A., Sampels, M. (eds.): Ant Algorithms 2002. LNCS, vol. 2463. Springer, Heidelberg (2002)
Goncharova, L., et al.: Biomolecular Immunocomputing. In: Timmis, J., Bentley, P.J., Hart, E. (eds.) ICARIS 2003. LNCS, vol. 2787, pp. 102–110. Springer, Heidelberg (2003)
Gorton, I., et al.: Evaluating agent Architectures: Cougaar, Aglets and AAA. In: Lucena, C., Garcia, A., Romanovsky, A., Castro, J., Alencar, P.S.C. (eds.) SELMAS 2003. LNCS, vol. 2940, pp. 264–278. Springer, Heidelberg (2004)
Kennedy, J., Eberhart, R.C.: Swarm Intelligence. Morgan Kaufmann, London (2001)
Michalewicz, Z., Fogel, D.B.: How to Solve it: Modern Heuristics. Springer, New York (2000)
Pacino, K.M.: Biomimicry of bacterial foraging for distributed optimisation and control. IEEE Control System Magazine 22(3), 52–68 (2002)
Shakshuki, E., Jun, Y.: Multi-agent development toolkits: An evaluation. In: Orchard, B., Yang, C., Ali, M. (eds.) IEA/AIE 2004. LNCS (LNAI), vol. 3029, pp. 209–218. Springer, Heidelberg (2004)
Stepney, S., et al.: Artificial Immune System and the grand challenges for non-classical computation. In: Timmis, J., Bentley, P.J., Hart, E. (eds.) ICARIS 2003. LNCS, vol. 2787, pp. 204–216. Springer, Heidelberg (2003)
Turing, A.M.: The chemical basis for morphogenesis. Phil. Trans. Roy.Soc. London 237, 37–79 (1952)
Wolfram, S.: A New kind of Science. Wolfram Media Inc, Champaign (2002)
Woolridge, M.: Introduction to Multi-Agent systems. John Wiley, New York (2002)
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Murthy, V.K. (2005). Agents in Bio-inspired Computations. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_113
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DOI: https://doi.org/10.1007/11553939_113
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