A MULTIMODEL APPROACH TO REASONING AND SIMULATION

Models that are constructed within the bounds of a single paradigm are not sufficient for modeling all aspects of complex systems. Therefore , even though reasoning and simulation systems that utilize a single m odeling paradigm are the current norm, we explore a multimodel approac h in this paper. A multimodel approach is defined as one in which more than one model - each derived from a different perspective, and utili zing correspondingly distinct reasoning and simulation strategies - ar e employed. By describing four models which illustrate the use of diff erent modeling techniques, we show how a multimodel approach can enric h the modeling environment and make it correspond better with real wor ld information. Our models come from many sources - Systems and Simula tion literature for the modeling of natural phenomena and artificial d evices, and Artificial Intelligence and Cognitive Science for the mode ling of human intuition and expertise in reasoning. Generalizing from these four models, we suggest that modeling complex systems may best b e approached from an integrated architectural viewpoint which combines multiple modeling paradigms.