Decision-Analytic Intelligent Systems: Automated Explanation and Knowledge Acquisition [NOOK Book]

Overview

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.

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Decision-Analytic Intelligent Systems: Automated Explanation and Knowledge Acquisition

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Overview

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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Product Details

  • ISBN-13: 9781134768530
  • Publisher: Taylor & Francis
  • Publication date: 2/1/2013
  • Sold by: Barnes & Noble
  • Format: eBook
  • Pages: 232
  • File size: 3 MB

Table of Contents

Preface
Ch. 1 Introduction 1
Ch. 2 Background, Motivation, and Problem Statement 11
Ch. 3 IVA and VIRTUS: Overview and Applications 44
Ch. 4 Interpretation 62
Ch. 5 Explanation 105
Ch. 6 Refinement 142
Ch. 7 Implementation 161
Ch. 8 Evaluation, Experience, and Observations 172
Ch. 9 Summary, Contributions, and Future Work 184
Appendix: VIRTUS Report 191
References 199
Author Index 209
Subject Index 213
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