A Multi-Agent Simulation of Intelligence Reconnaissance Warfare

To support the advanced concept technology demonstration of operational applications of intelligence reconnaissance system (IRS) on future information battlefield, multi-agent simulation technology is applied in this paper. On the basis of analysis on intelligence processing and modeling process of intelligence reconnaissance warfare (IRW), a role-agent mapping mechanism is presented to set up the mappings from IRS´s members to entity agents. Task-tree decomposition approach and task allocation are used to study multi-agent interactions in IRW model. The demonstration system shows that our model can identify main components in IRS and discover their local interactions and behaviors, which acts as the developer´s window to dynamic, complex and intelligent IRW.