Author: Heckerman, David E.
Title: Probabilistic Similarity Networks
Description: Cambridge [MA], MIT Press, (1991). orig. boards. 23x18cm, xvii,234,(2)pp, Series: ACM Doctoral Dissertation Award 1990. Textual diagrams. Minor rubbing. VG. ¶ Contents: Introduction; Pathfinder: A Normative Expert System; Similarity Networks and Partitions; Historical Background and Contributions; Overview of the Book; Similarity Networks and Partitions: A Simple Example; Similarity Networks: The Construction of a Knowledge Map; Partitions: The Assessment of a Knowledge Map; Theory of Similarity Networks; Background; Overview; Definitions and Examples; Soundness: Preliminary Results; Consistency: Preliminary Results; Soundness: Ordinary Similarity Networks; Consistency: Ordinary Similarity Networks; Another Definition of Ordinary Similarity Networks; Proof of Exhaustiveness; Use of Similarity Networks for Assessment; Summary; Pathfinder: A Case Study; History of Pathfinder; Highlights of Knowledge-Base Composition; Construction Statistics; Insights; The Pathfinder Inference Algorithm; An Evaluation of Pathfinder; Selection of Cases; Entry of Features; Phase 1: An Expert-Rating Metric; Phase 2: A Case-by-Case Analysis; Phase 3: A Decision-Theoretic Metric; Discussion; Conclusions and Future Work; Weaker Conditions for Soundness; Applications Other Than Coherent Knowledge Acquisition; Conclusions; A. Background; B. Proof of Theorems and Notation; C. Glossary of Pathfinder Terms; D. Evaluation Results; E. Transformation for Multiple Hypotheses.

Keywords: Artificial Intelligence, Computer Science, Computation, Medical Diseases, Applications, Expert Systems, Medicine Diagnosis, Decision Making, Data Processing