Agents in bio-inspired computations

被引：0
|
作者：
Murthy, VK [1 ]
机构：
[1] RMIT Univ, Sch Business Informat Technol, Melbourne, Vic 3000, Australia
来源：
KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 3, PROCEEDINGS | 2005年 / 3683卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：799 / 805
页数：7
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