Introduction to simulation and SLAM II (2nd ed.)
Introduction to simulation and SLAM II (2nd ed.)
Programming in Prolog (2nd ed.)
Programming in Prolog (2nd ed.)
Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Building expert systems
Principles of artificial intelligence
Principles of artificial intelligence
The time and state relationships in simulation modeling
Communications of the ACM - Special issue on simulation modeling and statistical computing
Communications of the ACM
Natural Language Information Processing: A Computer Grammmar of English and Its Applications
Natural Language Information Processing: A Computer Grammmar of English and Its Applications
Operational specification as the basis for rapid prototyping
Proceedings of the workshop on Rapid prototyping
Language As a Cognitive Process: Syntax
Language As a Cognitive Process: Syntax
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Major advances in simulation techniques have in the past resulted from refinement of our understanding of the modeling process itself. The encapsulation of frequently used functions into standard packages gave rise to the original simulation languages. The recognition of frequently used concepts gave rise to current model-based simulation systems. The separation of the model frame from the experimental frame is just beginning to see implementation in commercially available decision support systems. We believe the next major advance will come from a better understanding of the relationship between the representation (or description) of the system itself and the models/experiments which are performed to satisfy a particular goal. We are currently working towards a modeling paradigm in which a system specification frame and a goal specification frame are formally recognized as distinct from the simulation modeling, experimental, and implementation frames.