Simulation-based planning in support of multi-agent scenarios
Jin Joo Lee, Paul A. Fishwick · 1997
Whenever a simulation involves multiple interacting intelligent objects, called agents, there is the issue of how to code the decision making procedures that drive the agents. The usual method of encoding decision-making procedures has been to use operator or rule-based models, representing the decision making intelligence of the coordinator (i.e., commander on a battlefield). If the purpose of the simulation is to precisely emulate a particular coordinator's intelligence, then such rule-based models may often be most appropriate. However, the goal is often to win the engagement or have the agents perform a task to the satisfaction of an optimal condition. In these cases, we have created a methodology, Simulation-Based Planning, that embeds one simulation inside another. The embedded simulation simulates the actions of agents and intentions of coordinators before committing to a plan. Plan alternatives are generated based on discrete paths through spatial regions of a domain, while sp...