A qualitative physics based on confluences
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Simulations and symbolic explanations
ISMIS '86 Proceedings of the ACM SIGART international symposium on Methodologies for intelligent systems
A guide to simulation (2nd ed.)
A guide to simulation (2nd ed.)
ROSS: an object-oriented language for constructing simulations
Expert systems techniques, tools and applications
A model of the trust investment process
Computers & thought
Towards a knowledge-based network simulation environment
WSC '85 Proceedings of the 17th conference on Winter simulation
Understanding Natural Language
Understanding Natural Language
An introspective environment for knowledge based simulation
WSC '84 Proceedings of the 16th conference on Winter simulation
A metalanguage for interactive simulation
WSC '77 Proceedings of the 9th conference on Winter simulation - Volume 2
A rule-based system for interactive proposal evaluation
IEA/AIE '88 Proceedings of the 1st international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1
Dependencies and graphical interfaces in object-oriented simulation languages
WSC '87 Proceedings of the 19th conference on Winter simulation
A Review Of Artificial Intelligence In Simulation
ACM SIGART Bulletin
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Explanation systems supply information that clarifies the structure and problem domain of a computer program for the user. We begin our paper by describing the early explanation systems, which were built for expert system programs, and by reviewing some of the subsequent developments in artificial intelligence that relate to this area. The results of our research are consistent with some of the recent developments in artificial intelligence; we have found that there are a variety of kinds of information that are useful to naive users of computer programs. We have been particularly interested in writing programs that can supply such information to naive users of numerical computer simulations. We describe an implemented explanation system, NATURALIST, which explains the structure and domain of a simulation for inventory control. Our experience with the NATURALIST program suggests that explanation facilities may be valuable additions to numerical computer simulations.