Article ID Journal Published Year Pages File Type
388261 Expert Systems with Applications 2012 8 Pages PDF
Abstract

Simulation, software agents, and systems engineering are three important disciplines; each of which support many application areas. In this article it is pointed out that their usefulness and efficacy can be significantly improved by first and higher order synergies.

► First-order synergies: (1) Synergy of simulation and agents (or agent-directed simulation – ADS) that consists of (1.1) contributions of simulation to agents (i.e., agent simulation, or simulation of agent systems) and (1.2) contributions of agents for simulation which consists of (1.2.1) agent-supported simulation, or use of agents as a support facility to enable computer assistance in problem solving as well as enhancing cognitive capabilities of simulation systems; and (1.2.2) agent-based simulation which focuses on the use of agents for the generation of model behavior in a simulation study, such as dynamic model composition while simulation is running. ► (2) Synergy of simulation and systems engineering that consists of (2.1) contributions of simulation to systems engineering; (Especially experimentation aspect of simulation is a well-accepted fact at every phase of systems engineering) and (2.2) contributions of systems engineering to simulation which are possible in two areas: (2.2.1) for large and complex simulation studies, i.e., for simulation applications; and (2.2.2) for development of large and complex simulation systems, i.e., for methodological contributions. ► (3) Synergy of agents and systems engineering that consists of (3.1) contributions of agents for systems engineering, i.e., agent-based systems engineering to provide advanced – including cognitive and emotive – computational paradigms for systems engineering and (3.2) contributions of systems engineering for agents which is the essence of systems engineering agents, as advanced functionality for agents. ► (4) Second-order synergies: Synergy of agent-directed simulation (ADS) and systems engineering which consists of (1.1) contributions of systems engineering to ADS: (1.1) for large and complex simulation studies, i.e., for simulation applications; and (1.2) for the realization of large and complex simulation systems, i.e., methodological contributions; and (1.2) contributions of ADS to several stages of systems engineering activities such as system conception, problem specification, and solution analysis.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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