Programming expert systems in OPS5: an introduction to rule-based programming
Programming expert systems in OPS5: an introduction to rule-based programming
Artificial Intelligence
A Rule-Based System to Schedule Production
Computer - Special issue on expert systems in engineering
Parallelism in Production Systems
Parallelism in Production Systems
Reducing match time variance in production systems with HAL
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
RAPS: A Rule-Based Language for Specifying Resource Allocation and Time-Tabling Problems
IEEE Transactions on Knowledge and Data Engineering
Performance Evaluation of Rule Grouping on a Real-Time Expert System Architecture
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering
Expert Systems and Tools: Myths and Realities
IEEE Expert: Intelligent Systems and Their Applications
Design expert system tool with hybrid knowledge representation and reasoning
International Journal of Computer Applications in Technology
Formalizing both refraction-based and sequential executions of production rule programs
RuleML'12 Proceedings of the 6th international conference on Rules on the Web: research and applications
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The results of an assessment of the functionality and performance of tools with different architectural approaches are presented. The goal was to gain insight into the advantages and disadvantages of the various architectures. The tools evaluated in the study were (1) the Automated Reasoning Tool for Information Management (ARTIM), (2) the C Language Integrated Production System (CLIPS), (3) the Knowledge Engineering System (KES), (4) Level 5, and (5) VAX OPS5. Emphasis was on tools implemented in languages other than Lisp. KES and Level 5 were found to be inadequate for an application that required constructive problem solving, but both tools could be expected to provide improved performance for problems based on a heuristic classification approach due to their backward-chaining orientation. On the other hand, ART-IM, CLIPS, and VAX OPS5 might prove less effective for heuristic classification problem solving than for synthesis because they lack support for backward chaining. The results reinforce the fact that all expert system tools have strengths and weaknesses and that no single tool is dominant for a wide spectrum of applications or over a wide range of functionality.