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Computer Science - Artificial Intelligence | Working with Preferences: Less Is More

Working with Preferences: Less Is More

Kaci, Souhila

2011, XVI, 204 p.

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  • Offers a thorough examination of preferences from an artificial intelligence perspective
  • Includes the author's views on future research perspectives
  • Multidisciplinary approach benefits computer scientists, economists, operations researchers, mathematicians, logicians and philosophers

Preferences are useful in many real-life problems, guiding human decision making from early childhood up to complex professional and organizational decisions. In artificial intelligence specifically, preferences is a relatively new topic of relevance to nonmonotonic reasoning, multiagent systems, constraint satisfaction, decision making, social choice theory and decision-theoretic planning

 

The first part of this book deals with preference representation, with specific chapters dedicated to representation languages, nonmonotonic logics of preferences, conditional preference networks, positive and negative preferences, and the study of preferences in cognitive psychology. The second part of the book deals with reasoning with preferences, and includes chapters dedicated to preference-based argumentation, preferences database queries, and rank-ordering outcomes and intervals. The author concludes by examining forthcoming research perspectives.

 

This is inherently a multidisciplinary topic and this book will be of interest to computer scientists, economists, operations researchers, mathematicians, logicians, philosophers and psychologists.

 

Content Level » Research

Keywords » Artificial intelligence - Constraint satisfaction - Database queries - Decision making - Decision-theoretic planning - Logic - Multi-agent systems - Non-monotonic logics - Non-monotonic reasoning - Preference representation - Preference-based argumentation - Preferences - Reasoning - Social choice theory

Related subjects » Artificial Intelligence - Logic & Philosophy of Language - Operations Research & Decision Theory - Theoretical Computer Science

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