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. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Murthy, V. K. (2005). Agents in bio-inspired computations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3683 LNAI, pp. 799–805). Springer Verlag. https://doi.org/10.1007/11553939_113
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
