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Journal ArticleDOI

Rule-based understanding of signals

H. Penny Nii, +1 more
- 01 Jun 1977 - 
- Vol. 63, Iss: 63, pp 83-83
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TLDR
The design of SU/X and SU/P is concerned with the interpretation of large quantities of digitized signal data and some features of the design are incremental interpretation of data employing many different pattern-invoked sources of knowledge.
Abstract
SU/X and SU/P are knowledge-based programs which employ pattern-invoked inference methods. Both tasks are concerned with the interpretation of large quantities of digitized signal data. The task of SU/X is to understand "continuous signals", that is, signals which persist over time. The task of SU/P is to interpret protein x-ray crystallographic data. Some features of the design are: (1) incremental interpretation of data employing many different pattern-invoked sources of knowledge, (2) production rule representation of knowledge, including high level strategy knowledge, (3) "opportunistic" hypothesis formation using both data-driven and model-driven techniques within a general hypothesize-and-test paradigm; and (4) multilevel representation of the solution hypothesis.

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Journal ArticleDOI

The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertainty

TL;DR: The characteristics of the speech problem in particular, the special kinds of problem-solving uncertainty in that domain, the structure of the Hearsay-II system developed to cope with that uncertainty, and the relationship between Hearsey-II's structure and those of other speech-understanding systems are discussed.
Journal ArticleDOI

Negotiation as a Metaphor for Distributed Problem Solving

TL;DR: A framework called the contract net is presented that specifies communication and control in a distributed problem solver, and comparisons with planner, conniver, hearsay-ii, and pup 6 are used to demonstrate that negotiation is a natural extension to the transfer of control mechanisms used in earlier problem-solving systems.
Journal ArticleDOI

A Cognitive Model of Planning

TL;DR: A cognitive model of the planning process that generalizes the theoretical architecture of the Hearsay-II system and illustrates its assumptions with a “thinking aloud” protocol is presented and the performance of a computer simulation of the model is described.
Book

Readings in Distributed Artificial Intelligence

Alan H. Bond, +1 more
TL;DR: This comprehensive collection of articles shows the breadth and depth of DAI research as well as to practical problems in artificial intelligence, distributed computing systems, and human-computer interaction.
Journal ArticleDOI

Frameworks for Cooperation in Distributed Problem Solving

TL;DR: Two forms of cooperation in distributed problem solving are considered: task-sharing and result-sharing, and the basic methodology is presented and systems in which it has been used are described.
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