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An Integrated Approach to System Modeling Using a Synthesis of Artificial Intelligence, Software Engineering and Simulation Methodologies PAUL A. FISHWICK University of Florida Traditional discrete familiar artificial modeling system these tered. highlight teaching in and relating computer characterize computer event, intelligence dynamic to simulation simulation researchers, and software There terminology and process the includes oriented. taxonomic Even is distinct have divisions such other goals from with terms terms have such as as to to continuous, though become terminology to unify disciplines such relating specifically that we have serves disciplines orientations intelligence Moreover, within engineering-that is a need framework. similar systems. is formalized terminology versus among these so that since encounto in modeling in a common in terms system in using within is that modeling Descriptors: D.2.2 We present modeling nroblem) within we a perspective declarative that discipline. had other simulation a sample connecting field The models dynamic of their procedural most two orientations We used the the science. are prevalent threads throughout system this modeling disciplines found each have to (e.g., two jug modeling perspective, computer in artificial simulation students of modeling result other Subject considerable subdiscipline easily success simulation in computer [Software Engineering] D.2.
ACM Transactions on Modeling and Computer Simulation (TOMACS) – Association for Computing Machinery
Published: Oct 1, 1992
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