Smalltalk-80: the language and its implementation
Smalltalk-80: the language and its implementation
Programming in Prolog (2nd ed.)
Programming in Prolog (2nd ed.)
Programming expert systems in OPS5: an introduction to rule-based programming
Programming expert systems in OPS5: an introduction to rule-based programming
Introduction to Simulation and SLAM II (3rd ed.)
Introduction to Simulation and SLAM II (3rd ed.)
Artificial intelligence
Logic programming in simulation
Transactions of the Society for Computer Simulation International
Model execution in a goal-oriented discrete event simulation environment
Model execution in a goal-oriented discrete event simulation environment
Reasoning with worlds and truth maintenance in a knowledge-based programming environment
Communications of the ACM
LISP
Concepts for knowledge-based system design environments
WSC '85 Proceedings of the 17th conference on Winter simulation
SIMULA: an ALGOL-based simulation language
Communications of the ACM
Simulation program development by stepwise refinement in UNITY
WSC '91 Proceedings of the 23rd conference on Winter simulation
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A problem exists in efficiently combining a non-deterministic decision capability with a current discrete event simulation language for use by the simulationist (programmer and in the future the user). This paper explores this problem in the context of the discrete event simulation problem domain implemented in Siman. The purpose is (1) to provide an ontological definition of abstract ideas from data to wisdom, (2) identify a taxonomy of simulation and artificial intelligence combination dialects, and (3) establish the need for and then introduce a “decide node” which will assist the simulationist in incorporating a broader spectrum of the ontology more easily than current dialects allow.