Satisficing Games and Decision Making
With Applications to Engineering and Computer Science
By (author) Wynn C. Stirling
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Satisficing Games and Decision Making by Wynn C. Stirling
Book DescriptionIn our day-to-day lives we constantly make decisions which are simply 'good enough' rather than optimal. Most computer-based decision-making algorithms, on the other hand, doggedly seek only the optimal solution based on rigid criteria and reject any others. In this book, Professor Stirling outlines an alternative approach, using novel algorithms and techniques which can be used to find satisficing solutions. Building on traditional decision and game theory, these techniques allow decision-making systems to cope with more subtle situations where self and group interests conflict, perfect solutions can't be found and human issues need to be taken into account - in short, more closely modelling the way humans make decisions. The book will therefore be of great interest to engineers, computer scientists and mathematicians working on artificial intelligence and expert systems.
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Book DetailsISBN: 9780521038911
(247mm x 174mm x 14mm)
Imprint: Cambridge University Press
Publisher: Cambridge University Press
Publish Date: 16-Aug-2007
Country of Publication: United Kingdom
Books By Author Wynn C. Stirling
Theory of Social Choice on Networks, Hardback (September 2016)
This highly original book challenges social choice theory by arguing for the importance of dynamic preferences and context in understanding important social phenomena.
Theory of Conditional Games, Paperback (July 2014)
This book describes conditional games - a form of game theory that accommodates multiple stakeholder decision-making scenarios.
Satisficing Games and Decision Making, Hardback (July 2003)» View all books by Wynn C. Stirling
An alternative approach to mathematical decision making for AI and expert systems engineers and scientists.
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Author Biography - Wynn C. Stirling
Wynn Stirling is a Professor of Electrical and Computer Engineering at Brigham Young University, Utah, where he teaches stochastic processes, control theory and signal processing.
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