A knowledge-based system for the interpretation of protein x-ray crystallographic data
A knowledge-based system for the interpretation of protein x-ray crystallographic data
Distributed Interpretation: A Model and Experiment
IEEE Transactions on Computers
ETHER: a parallel problem solving system
IJCAI'79 Proceedings of the 6th international joint conference on Artificial intelligence - Volume 1
Efficiency analysis of multiple-context TMSS in scene representation
AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 1
Efficiency analysis of multiple-context TMSS in scene representation
AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 1
A new framework for sensor interpretation: planning to resolve sources of uncertainty
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 2
A methodology for the development of general knowledge-based vision systems
PKWBS-W'84 Proceedings of the 1984 IEEE conference on Principles of knowledge-based systems
Deep and shallow binding: The assignment operation
Computer Languages
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The Hearsay model has heen presented as a paradigm for attacking errorful knowledge-intensive problems requiring multiple, cooperating knowledge sources. The Hearsay-II architecture is the latest attempt to explore the model. This paper describes experiences gained while successfully applying this architecture to the problem of speech understanding. The major conclusions are: 1. The paradigm of viewing problem solving in terms of hypothesize-and-test actions distributed among distinct representations of the problem has been shown to be computationally feasible. 2. A global working memory (the "blackboard"), in which the distinct representations are integrated in a uniform manner, has made it convenient to construct and integrate the individual sources of knowledge needed for the problem solution. 3. The use of a uniform data-directed structure for controlling knowledge-source activity has made the system easy to understand and modify. 4. A solution has been demonstrated to the problem of focus-of-attention in this type of control environment. This solution does not need to be modified when the sources of knowledge in the system are changed.