Titlebook: New Advances in Intelligent Decision Technologies; Results of the First Kazumi Nakamatsu,Gloria Phillips-Wren,Robert J. Ho Book 2009 Spring

Arrhythmia

Evolution Prospection,e future, it is confronted with the problem of having several different possible courses of evolution, and therefore needs to be able to prefer amongst them to decide the best to follow as seen from its present state. First it needs a priori preferences for the generation of likely courses of evolut

祖先

BUDGE

CAGE

Modelling Probabilistic Causation in Decision Making,n and uncertainty. To resolve these problems, humans reason combining causal models with probabilistic information. The theory that attempts to model both causality and probability is called probabilistic causation, better known as Causal Bayes Nets..In this work we henceforth adopt a logic programm

青石板

A Library Marketing System for Decision Making,ch are extracted from the data that are collected by the library system. In this paper we lay heavy stress on the use of such information and knowledge for assisting decision making of the library and of its patrons. Furthermore our main concern is to investigate how much we can utilize the usage da

Interlocking

Sputum

合乎習(xí)俗

Belief-Based Stability in Non-transferable Utility Coalition Formation with Uncertainty, is that the preference of each agent is publicly known so that a coalition is said to be stable if there is no objections by any sub-group of agents according to the publicly known preferences. However, in many software agent applications, this assumption is not true. Instead, agents are modeled as

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Side-Effect Inspection for Decision Making, of abduction in Logic Programs, abducible literals may represent actions and assumptions in the declarative rules used to represent our knowledge about the world. Besides finding out which alternative sets of actions achieve the desired goals, it may be of interest to identify which of those abduct

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