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  • © 2011

Analysis and Design of Advice

Authors:

  • treats advice as a general design artifact, independent of the application domain
  • rejects unrealistic assumptions of classical decision theory about perfect rationality and exact numerical, quantitative estimates of probability
  • innovatively combines elements from management science, computer science, and mathematical logic
  • Includes supplementary material: sn.pub/extras

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xiii
  2. Introduction

    • Ivan Jureta
    Pages 1-5
  3. Coordination and Advice

    • Ivan Jureta
    Pages 7-46
  4. Conceptual Analysis of Advice

    • Ivan Jureta
    Pages 47-114
  5. Interpretation of Advice

    • Ivan Jureta
    Pages 115-139
  6. Kinds of Advice

    • Ivan Jureta
    Pages 141-205
  7. Advisor’s Problem and Its Solutions

    • Ivan Jureta
    Pages 207-283
  8. Perspectives

    • Ivan Jureta
    Pages 285-286
  9. Back Matter

    Pages 287-301

About this book

Advice involves recommendations on what to think; through thought, on what to choose; and via choices, on how to act. Advice is information that moves by communication, from advisors to the recipient of advice.

Ivan Jureta offers a general way to analyze advice. The analysis applies regardless of what the advice is about and from whom it comes or to whom it needs to be given, and it concentrates on the production and consumption of advice independent of the field of application. It is made up of two intertwined parts, a conceptual analysis and an analysis of the rationale of advice. He premises that giving advice is a design problem and he treats advice as an artifact designed and used to influence decisions.

What is unusual is the theoretical backdrop against which the author’s discussions are set: ontology engineering, conceptual analysis, and artificial intelligence. While classical decision theory would be expected to play a key role, this is not the case here for one principal reason: the difficulty of having relevant numerical, quantitative estimates of probability and utility in most practical situations. Instead conceptual models and mathematical logic are the author’s tools of choice.

The book is primarily intended for graduate students and researchers of management science. They are offered a general method of analysis that applies to giving and receiving advice when the decision problems are not well structured, and when there is imprecise, unclear, incomplete, or conflicting qualitative information.

Reviews

"[...] The back cover notes that the book is intended for graduate students and researchers in management science. The [emphasis] is on sociopolitical-economic analysis to derive the fundamental concepts. The initial chapters have meta-level discussions. The later chapters are more mathematical and computing oriented. [...] Professionals working on automation in management will find the book a useful resource. [...]" ACM Computing Reviews, Maulik A. Dave, March 2012

Authors and Affiliations

  • , Louvain School of Management, University of Namur (FUNDP), Namur, Belgium

    Ivan Jureta

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access