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An integrated approach to system modeling using a synthesis of artificial intelligence, software engineering and simulation methodologies

An integrated approach to system modeling using a synthesis of artificial intelligence, software... An Integrated Approach to System Modeling Using a Synthesis of Artificial Intelligence, Software Engineering and Simulation Methodologies PAUL A. FISHWICK University of Florida Traditional œdiscrete 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 œprocess the includes oriented.  taxonomic Even is distinct have divisions such other goals from with terms terms have such as as to to œcontinuous,  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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Modeling and Computer Simulation (TOMACS) Association for Computing Machinery

An integrated approach to system modeling using a synthesis of artificial intelligence, software engineering and simulation methodologies

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References (95)

Publisher
Association for Computing Machinery
Copyright
Copyright © 1992 by ACM Inc.
ISSN
1049-3301
DOI
10.1145/149516.149530
Publisher site
See Article on Publisher Site

Abstract

An Integrated Approach to System Modeling Using a Synthesis of Artificial Intelligence, Software Engineering and Simulation Methodologies PAUL A. FISHWICK University of Florida Traditional œdiscrete 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 œprocess the includes oriented.  taxonomic Even is distinct have divisions such other goals from with terms terms have such as as to to œcontinuous,  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.

Journal

ACM Transactions on Modeling and Computer Simulation (TOMACS)Association for Computing Machinery

Published: Oct 1, 1992

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