A practical guide to designing expert systems
A practical guide to designing expert systems
A qualitative physics based on confluences
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Expert systems: artificial intelligence in business
Expert systems: artificial intelligence in business
Artificial Intelligence
Building expert systems
Knowledge-based tutoring: the GUIDON program
Knowledge-based tutoring: the GUIDON program
Knowledge representation from Newton to Minsky and beyond
Applied Artificial Intelligence
The knowledge engineer as student: metacognitive bases for asking good questions
Learning Issues for Intelligent Tutoring Systems
Special section on architectures for knowledge-based systems
Communications of the ACM
Steps toward artificial intelligence
Computers & thought
The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
Machines Who Think
Readings in Knowledge Representation
Readings in Knowledge Representation
Computers and Thought
BB1: an architecture for blackboard systems that control, explain, and learn about their own behavior
Reasoning about structure, behavior and function
ACM SIGART Bulletin
Human Problem Solving
Elaboration of the SEPT expert system as the coupling of a simulator and a diagnostician
IEA/AIE '90 Proceedings of the 3rd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1
Knowledge acquisition for knowledge based process control
IEA/AIE '90 Proceedings of the 3rd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 2
IBM Journal of Research and Development
Multitasking simulation of a boiler system using qualitative model-based reasoning
ACM Transactions on Modeling and Computer Simulation (TOMACS)
WSC '96 Proceedings of the 28th conference on Winter simulation
Proceedings of the 1999 ACM symposium on Applied computing
Critics for Knowledge-Based Design Systems
IEEE Transactions on Knowledge and Data Engineering
A Set of Design Guidelines for Object-Oriented Deductive Systems
IEEE Transactions on Knowledge and Data Engineering
Knowledge maintenance: the state of the art
The Knowledge Engineering Review
Problem solving methods and knowledge systems: A personal journey to perceptual images as knowledge
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Workflow agents versus expert systems: Problem solving methods in work systems design
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Hi-index | 0.00 |
A viewpoint on expert systems is developed that considers the qualitative nature of knowledge encoded in such programs. It is maintained that all knowledge bases contain models of systems in the world. Reasoning involves sequences of tasks (for example, monitoring and diagnosis) by which an understanding or model of specific situations is related to action plans. Programs use a simple repertoire of qualitative modeling techniques commonly called knowledge representations. The situation-specific-model concept makes concrete exactly what programs know and how to describe problem solving in terms of model-manipulation operators. The viewpoint is exemplified for the particular case of medical diagnosis. A historical perspective shows how AI's concern with adaptiveness and the rationality of the autonomous agent emphasizes the role of models as what a problem-solver knows. It is suggested that this has been to the detriment of understanding the primary characteristic of knowledge in terms of models that partition the world, viewing it selectively and making it coherent for some purpose.