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Sequential Decision-Making Problems. Representation and Solution. Edition No. 1

  • ID: 2182809
  • Book
  • November 2009
  • 384 Pages
  • John Wiley and Sons Ltd
Numerous formalisms have been designed to model and solve decision-making problems. Some formalisms, such as constraint networks, can express "simple" decision problems, while others take into account uncertainties (probabilities, possibilities...), unfeasible decisions, and utilities (additive or not).

In the first part of this book, we introduce a generic algebraic framework that encompasses and unifies a large number of such formalisms. This formalism, called the Plausibility–Feasibility–Utility (PFU) framework, is based on algebraic structures, graphical models, and sequences of quantifications. This work on knowledge representation is completed by a work on algorithms for answering queries formulated in the PFU framework. The algorithms defined are based on variable elimination or tree search, and work on a new generic architecture for local computations called multi-operator cluster DAGs.

Note: Product cover images may vary from those shown
Cédric Pralet ONERA, France.

Thomas Schiex ONERA, France.

Gérard Verfaillie INRA Toulouse, France.
Note: Product cover images may vary from those shown
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