Multi-agent simulation using discrete event and soft-computing methodologies

IVith tl7e emerging applications of multi-agent systems, there is aluays a need for simulation to i~ertfi the results before actual implementation. Multi-agent sintulafion provides a test bed for several soflcompziting algorithms like f i z zy logic, learning automata, evolutionary olgorithms, etc. In this paper we discuss the fusion of these saff-computing methodologies and existing tools for discrete event simulation (DEVS)for multi-agent simulation. We propose a methodology for combining the agent-based architecture, discrete wen t system and softcomputing methods in the simulation of multi-agent robotics arid network security Vstem. We also define a framework called Virtual Laboratory (V-LabQ) for multiagent simulation using intelligent fools.