In 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.
General
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