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Titlebook: Intelligent Decision Making: An AI-Based Approach; Gloria Phillips-Wren,Nikhil Ichalkaranje,Lakhmi C. Book 2008 Springer-Verlag Berlin Hei

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Collaborative Decision Making Amongst Human and Artificial Beingsenarios that can assist in designing collaborative systems mixing humans and artificial beings as fully equal partners (FEPs). Human and artificial beings are demonstrated performing tasks cooperatively with each other, while being fully replaceable or interchangeable with other beings regardless of
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Decision Analysis with Fuzzy Targetshed axiomatically. Recently, a formal equivalence between this principle of choice and the target-based principle, that suggests that one should select an action which maximizes the (expected) probability of meeting a (probabilistic) uncertain target, has been established and extensively discussed.
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An Approximation Kuhn–Tucker Approach for Fuzzy Linear Bilevel Decision Makingossible decisions. In a real-world bilevel decision environment, uncertainty must be considered when modeling the objective functions and constraints of the leader and the follower. Following our previous work, this chapter proposes a fuzzy bilevel decision making model to describe bilevel decision
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A Unifying Multimodel Taxonomy and Agent-Supported Multisimulation Strategy for Decision-Supports on the emergent requirements of decision support in light of recent advancements in decision science and presents a conceptual framework that serves as an agent-based architecture for decision-support. We argue that in most decision-making problems, the nature of the problem changes as the situati
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