A prototype knowledge-based simulation support system

Article Abstract:

As a preliminary step toward the goal of an intelligent automated system for simulation modeling support, we explore the feasibility of the overall concept by generating and testing a prototypical framework. A prototype knowledge-based computer system was developed to support a senior level course in industrial engineering so that the overall feasibility of an expert simulation support system could be studied in a controlled and observable setting. The system behavior mimics the diagnostic (intelligent) process performed by the course instructor and teaching assistants, finding logical errors in INSIGHT simulation models and recommending appropriate corrective measures. The system was programmed in a non-procedural language (PROLOG) and designed to run interactively with students working on course homework and projects. The knowledge-based structure supports intelligent behavior, providing its users with access to an evolving accumulation of expert diagnostic knowledge. The non-procedural approach facilitates the maintenance of the system and helps merge the roles of expert and knowledge engineer by allowing new knowledge to be easily incorporated without regard to the existing flow of control. The background, features and design of the system are described and preliminary results are reported. Initial success is judged to demonstrate the utility of the reported approach and support the ultimate goal of an intelligent modeling system which can support simulation modelers outside the classroom environment. Finally, future extensions are suggested. (Reprinted by permission of the publisher.)

Computer aided design, Artificial intelligence, Simulation Languages, Computer-Aided Design

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An expert system prototype assisting the statistical validation of simulation models

Article Abstract:

The validation stage is often neglected in a simulation project, due to the high level of knowledge which is necessary. In this paper, the expert system approach is proposed to assist the simulation user in selecting an appropriate validation method, application of this method in the appropriate way, and interpreting the results. The main objective of such a system is to regroup validation techniques, scattered in literature, into the same knowledge base, and then to complete it with knowledge in statistics, simulation, and validation techniques, coming from experts. This study is part of a more general study on an Intelligent Environment for Simulation. Due to the difficulty in designing such a validation expert system, the application domain is restricted to the validation of observable discrete systems (particularly manufacturing systems), and to methods based on statistical tests. The functions of the expert system and the chosen knowledge representation are outlined and a prototype developed using K.E.S. software, is introduced. A brief example is given which illustrates the system capabilities. Finally the conclusion states that the expert system approach is adapted, due to restrictions which were imposed. (Reprinted by permission of the publisher.)

Systems analysis, Industrial research, Technology, Product introduction, Research and Development, System Design, Prototype, Statistical Analysis, New Technique, Validation, Research Design

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Visual interactive fitting of bounded Johnson distributions

Article Abstract:

We present a visual, interactive method for specifying a bounded Johnson (S-subB) probability distribution when little or no data are available for formally identifying an input process. Using subjective information, the modeler provides values for familiar characteristics of an envisioned target distribution. These numerical characteristics are transformed into parameter values for the probability density function. The parameters can then be indirectly manipulated, either by revising the desired numerical values of the function's specifiable characteristics or by directly altering the shape of the displayed curve. Interaction with a visual display of the fitted density permits the modeler to conveniently obtain a more realistic representation of an input process than was previously possible. The techniques involved have been packaged into a public-domain microcomputer-based software system called VISIFIT. (Reprinted by permission of the publisher.)

Computer graphics, Microcomputer, Interactive Systems, Probability

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