Making believers out of computers
Artificial Intelligence
Readings in nonmonotonic reasoning
Readings in nonmonotonic reasoning
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Readings in qualitative reasoning about physical systems
Readings in qualitative reasoning about physical systems
Representing and reasoning with probabilistic knowledge: a logical approach to probabilities
Representing and reasoning with probabilistic knowledge: a logical approach to probabilities
Proceedings of the first international conference on Principles of knowledge representation and reasoning
An episodic knowledge representation for narrative texts
Proceedings of the first international conference on Principles of knowledge representation and reasoning
Reasoning with Incomplete Information
Reasoning with Incomplete Information
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Readings in Knowledge Representation
Readings in Knowledge Representation
Associative Networks: The Representation and Use of Knowledge by Computers
Associative Networks: The Representation and Use of Knowledge by Computers
Special issue on knowledge representation
ACM SIGART Bulletin
The interaction with incomplete knowledge bases: a formal treatment
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 1
An analysis of first-order logics of probability
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 1
Probabilistic description logics
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Some properties of plausible reasoning
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
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Knowledge representation (KR) has traditionally been thought of as the heart of artificial intelligence. Anyone who has ever built an expert system, a natural language system--almost any AI system at all--has had to tackle the problem of representing its knowledge of the world. Despite it ubiquity, for most of AI's history KR has been a backstage activity. But in the 1980's it emerged as a field unto itself, with its own burgeoning literature. Along with this growth, the last decade has seen major changes in KR methodology, important technical contributions, and challenges to the basic assumptions of the field. I survey some of these developments, and then speculate about some of the equally interesting changes that appear on the horizon. I also look at some of the critical problems facing KR research in the near future, both technical and sociological.