Agents in bio-inspired computations

Authors:
V. Kris Murthy
Affiliations:
School of Business Information Technology, RMIT University, Melbourne, Victoria, Australia
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Year:
2005

Citing 10
Cited 0

Swarm intelligence: from natural to artificial systems

Swarm intelligence: from natural to artificial systems
How to solve it: modern heuristics

How to solve it: modern heuristics
Swarm intelligence

Swarm intelligence
A new kind of science

A new kind of science
An Behavior-based Robotics

An Behavior-based Robotics
Introduction to Multiagent Systems

Introduction to Multiagent Systems
Artificial Immune Systems: A New Computational Intelligence Paradigm

Artificial Immune Systems: A New Computational Intelligence Paradigm
Proceedings of the Third International Workshop on Ant Algorithms

ANTS '02 Proceedings of the Third International Workshop on Ant Algorithms
Biologically-Inspired Intelligent Robots

Biologically-Inspired Intelligent Robots
Multi-agent development toolkits: an evaluation

IEA/AIE'2004 Proceedings of the 17th international conference on Innovations in applied artificial intelligence

Quantified Score

Hi-index	0.00

Visualization

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.