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Knowledge-based simulation: an artificial intelligence approach to system modeling and automating the simulation life cycle
M. S. Fax,N. Husain,Malcolm McRoberts,Y. V. Reddy +3 more
- 01 Sep 1989
- pp 447-486
TL;DR: The Knowledge Based Simulation system is an embodiment of research in the application of Artificial Intelligence to Simulation that provides a complete Simulation Decision Support Environment for the modeling, validation, simulation and analysis of complex systems.
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Abstract: : This paper summarizes the past eight years of research in the application of Artificial Intelligence to Simulation. Our focus has been in two areas: the use of AI knowledge representation techniques for the modeling of complex systems, and the codification of simulation expertise so that it can be used to manage the simulation life cycle. The Knowledge Based Simulation system is an embodiment of this research. It provides a complete Simulation Decision Support Environment for the modeling, validation, simulation and analysis of complex systems. KBS has been applied to a variety of problems including factory and distribution system analysis. By using a frame language to represent domain concepts, such as object structure, and goals, there is a one to one correspondence between the domain and the simulation model 2. Secondly, by using rules to represent object behavior, the specification and modification of the behaviors become easier. Lastly, explanation techniques developed around rule based systems provide the basis for explaining event behaviors. (Life cycle management.) (JHD)
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Citations
The Integrated Supply Chain Management System
Mark S. Fox,John F. Chionglo,Mihai Barbuceanu +2 more
- 01 Jan 1993
TL;DR: In this article, the authors describe the goals and architecture of the Integrated Supply Chain Man-Agement System (ISCM) developed at the University of Toronto, which provides an approach to the real-time performance of supply chain functions.
A common-sense model of the enterprise
Mark S. Fox,John F. Chionglo,Fadi G. Fadel +2 more
- 01 Jan 2007
TL;DR: This paper discusses how TOVE tackles needs for a computer based data model which provides a shared and well defined terminology of an enterprise, and has the capability to deductively answer common sense questions, and introduces a set of evaluation criteria which may be used to evaluate modelling efforts.
A framework for knowledge-based computer-integrated manufacturing
TL;DR: A description is given of an evolving framework for applying knowledge systems in a manufacturing environment that provides an open, unified framework that supports a variety of expert systems and integrates them with existing computer-integrated manufacturing (CIM) packages.
52
Knowledge representation for conceptual simulation modeling
Ming Zhou,Young Jun Son,Zhimin Chen +2 more
- 05 Dec 2004
TL;DR: This study addresses underutilized simulation issues using a knowledge engineering approach, i.e. develop efficient and robust models and formats to capture, represent and organize the knowledge for developing conceptual simulation models that can be generalized and interfaced with different applications and implementation tools.
Issues in enterprise modelling
Mark S. Fox
- 17 Oct 1993
TL;DR: The author explores the following issues: Is there such a thing as a generic enterprise model?
26
References
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TL;DR: Causality is the area of statistics that is most commonly misused, and misinterpreted, by nonspecialists as discussed by the authors, who fail to understand that, just because results show a correlation, there is no proof of an underlying causality.
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Constraint-Directed Search: A Case Study of Job-Shop Scheduling
Mark S. Fox
- 01 Jan 1987
TL;DR: In this thesis, a system called ISIS is presented, which uses a constraint-directed search paradigm to solve the scheduling problem and provides a knowledge representation language for modeling organizations and their constraints.
Callisto: An intelligent project management system
TL;DR: The Callisto project was initiated as a research effort to explore project scheduling, control and configuration problems during the engineering prototype development of large computer systems and to devise intelligent project management tools that facilitate the documentation of project management expertise and its reuse from one project to another.
Representation of Activity Knowledge for Project Management
TL;DR: This paper provides an integration of the underlying theories needed for modeling activities using the domain of large computer design projects as an example, and the semantics of activity modeling is described.