Multifacetted modelling and discrete event simulation
Multifacetted modelling and discrete event simulation
Object-oriented simulation with hierarchical, modular models: intelligent agents and endomorphic systems
Emergence: from chaos to order
Emergence: from chaos to order
Model-based architecture for evolutionary intelligent systems
Transactions of the Society for Computer Simulation International
Evolutionary Computation
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Traditionally, defense uses human-based warfare simulation to assess risks, optimize missions, and make operational, tactical and strategic decisions. However, this approach is extremely expensive and does not enable analysts to explore all aspects of the problem or emergent behavior. The major goal of this paper is first to propose an AEEE principle (Abstraction, Endomorphism, Encapsulation, and Evolution) for designing an evolutionary intelligent agent system and then to introduce a FAMES (Fully Agent-based Modeling & Emergent Simulation) framework as a realization of AEEE principle that can extract the suitable tactics/strategies in the warfare environment. By combining the top-down paradigm for the constructive simulation with the bottom-up paradigm for the emergent simulation to model the agent-based warfare environment, FAMES is able to generate lots of possible simulation trajectories according to the evolution process for finding suitable tactical/strategic solution. To do this, we have employed the advanced modeling and simulation environment, SES/MB (System Entity Structure / Model Base) environment that can support suitable basis to model the event-based nature of the warfare behavior with evolutionary intelligent agent system. The intelligent battleship agent system has been successfully implemented and tested to demonstrate the emergent behavior of proposed framework.