Decision-Analytic Intelligent Systems

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A01=David A. Klein
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Author_David A. Klein
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Computation Traversal
computational reasoning methods
DASD
Data Processing Programmers
Decision Theoretic Model
Endpoint Assessment
engineer
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eq_computing
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eq_isMigrated=2
eq_nobargain
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expert systems applications
explanation
Faulty Parameter
formal decision support systems in medicine
Interactive Diagnosis
knowledge
Knowledge Acquisition
knowledge representation
Lambda Expression
Leaf Objectives
Maps Continuous Intervals
Maximize User Satisfaction
multi-criteria decision making
Opaque Models
Parameter Elicitation
preference modeling
problem
Problem Resolution Time
queue
Queue Space
Refinement Strategies
resolution
Rigorous Evaluation Studies
Service KB
space
strategies
time
uncertainty quantification
User Satisfaction

Product details

  • ISBN 9780805811056
  • Weight: 544g
  • Dimensions: 152 x 229mm
  • Publication Date: 01 Feb 1994
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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This book presents a framework for building intelligent systems based on the mathematical decision models of Decision Analysis. The author provides new techniques for automated explanation and knowledge acquisition in formally sound systems that reason about complex tradeoffs in decisions. Also included are specifications for implementing these techniques in computer programs, along with demonstration applications in marketing, process control, and medicine.

Readers with an interest in artificial intelligence will gain a foundation for building formally justifiable, intelligible, modifiable systems for computing decisions involving multiple considerations, with applications across a variety of domains. Beyond decision models, the methodology of the work reported suggests a more general approach to employing formal mathematical models in transparent intelligent systems.

Decision-analysis experts will find a collection of methods for explaining decision-analytic advice to clients in intuitive terms, for simplifying parameter assessment, and for managing changing preferences over time. The book provides sufficient background material to promote understanding by readers who may be unfamiliar with artificial intelligence, with decision analysis, or with both fields, and such material is labeled to increase the well-versed reader's efficiency in skipping particular sections.

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