Titlebook: Decision Science and Technology; Reflections on the C James Shanteau,Barbara A. Mellers,David A. Schum Book 1999 Springer Science+Business

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Linear Inequalities and the Analysis of Multi-Attribute Value Matrices is surprisingly efficacious in general in selecting a best multi-attribute alternative. An Excel-based simulation, ., allows one to assess the applicability of the general result to any particular value matrix. In this paper we extend . to partial information sets of weights other than a strict ran

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Life and Death Decisions for Individuals and Couplespeople who have a mutual interest in each other’s well-being. The original work showed how the question of placing a value on life was improperly framed. The inadequacy of the frame appears when we observe that few, if any, people would exchange their lives for any sum of money. We shall begin with

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Robot Ethics, Value Systems and Decision Theoretic Behaviorsncluding road-based delivery; industry and residential cleaning; and building and grounds maintenance. Robots can be built that can physically perform the actions necessary to do these services, but the requisite robot vision capabilities are not adequate to perform these tasks safely and reliably i

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Decision-Theoretic Troubleshooting: A Framework for Repair and Experimentision analysis, and psychology. Automated aids based on probability judgments were first proposed in the 1960s [Edwards, 1962; Edwards et al., 1968], however computers were not sufficiently accessible at that time to make the vision practical. By the 1980s techniques in the artificial intelligence c

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Book 1999wo significant accomplishments, eitherof which would have been enough for a very distinguished career.First, Ward is the founder of behavioral decision theory. Thisinterdisciplinary discipline addresses the question of how peopleactually confront decisions, as opposed to the question of how theyshou

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Manipulating Hedonic Strategies of Choice an outcome. Then, in 1947, von Neumann and Morgenstern deduced the principle of maximizing expected utility from a set of preference axioms. Within this framework, utility is a risky construct linked to the satisfaction with an outcome in a decision context.