Uncertainty in Artificial Intelligence 4
eBook - PDF

Uncertainty in Artificial Intelligence 4

  1. 422 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Uncertainty in Artificial Intelligence 4

About this book

Clearly illustrated in this volume is the current relationship between Uncertainty and AI.It has been said that research in AI revolves around five basic questions asked relative to some particular domain: What knowledge is required? How can this knowledge be acquired? How can it be represented in a system? How should this knowledge be manipulated in order to provide intelligent behavior? How can the behavior be explained? In this volume, all of these questions are addressed. From the perspective of the relationship of uncertainty to the basic questions of AI, the book divides naturally into four sections which highlight both the strengths and weaknesses of the current state of the relationship between Uncertainty and AI.

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Table of contents

  1. Front Cover
  2. Uncertainty in Artificial Intelligence 4
  3. Copyright Page
  4. Table of Contents
  5. PREFACE
  6. LIST OF CONTRIBUTORS
  7. Section I: CAUSAL MODELS
  8. Section II: UNCERTAINTY CALCULI AND COMPARISONS
  9. Section III: KNOWLEDGE ACQUISITION AND EXPLANATION
  10. Section IV: APPLICATIONS

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Yes, you can access Uncertainty in Artificial Intelligence 4 by T.S. Levitt,L.N. Kanal,J.F. Lemmer,R.D. Shachter in PDF and/or ePUB format, as well as other popular books in Computer Science & Business Intelligence. We have over one million books available in our catalogue for you to explore.