Recent Advances in Data Mining of Enterprise Data: Algorithms and Applications
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Description
This self-contained book provides three fundamental and generic approaches (logical, probabilistic, and modal) to representing and reasoning with agent epistemic states, specifically in the context of decision making. Each of these approaches can be applied to the construction of intelligent software agents for making decisions, thereby creating computational foundations for decision-making agents. In addition, the book introduces a formal integration of the three approaches into a single unified approach that combines the advantages of all the approaches. Finally, the symbolic argumentation approach to decision making developed in this book, combining logic and probability, offers several advantages over the traditional approach to decision making which is based on simple rule-based expert systems or expected utility theory.
Link to Catalog
ISBN
9789812779854
Publication Date
2007
Department
School of Electrical Engineering and Computer Science
Publisher
World Scientific
City
Hackensack
Recommended Citation
Triantaphyllou, Evangelos, "Recent Advances in Data Mining of Enterprise Data: Algorithms and Applications" (2007).