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Probability in the Engineering and Informational Sciences, 1989
The manipulations and basic results of stochastic decision theory are introduced. The manipulations of idempotence, transposition, and repetition, introduced for deterministic decision trees, can be used to manipulate stochastic trees. However, there are two major differences. First, in order to obtain a complete set of manipulations it is necessary to
Cockett, J. Robin B. +2 more
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The manipulations and basic results of stochastic decision theory are introduced. The manipulations of idempotence, transposition, and repetition, introduced for deterministic decision trees, can be used to manipulate stochastic trees. However, there are two major differences. First, in order to obtain a complete set of manipulations it is necessary to
Cockett, J. Robin B. +2 more
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Dialectical Decision Theory: A Meta-Theory of Decision-Making
Management Science, 1972This paper presents a meta-logic of decision theory. It utilizes a dialectical formulation [Churchman, C. W. 1966. Hegelian inquiring systems. Internal Working Paper 49, Space Sciences Laboratory, Social Sciences Project, University of California, Berkeley, September; Mason, R. O. 1969. A dialectical approach to strategic planning. Management Sci.
Ian I. Mitrofff, Frederick Betz
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Australasian Journal of Philosophy, 1981
Abstract When confronted with Newcomb problems, decision theory yields the wrong answer. This paper argues for an improved decision theory that is sensitive to causal distinctions. The causal theories of Skyrms, Sobel, and others are surveyed, and an objection against causal decision theories in general is deflected. The paper includes a
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Abstract When confronted with Newcomb problems, decision theory yields the wrong answer. This paper argues for an improved decision theory that is sensitive to causal distinctions. The causal theories of Skyrms, Sobel, and others are surveyed, and an objection against causal decision theories in general is deflected. The paper includes a
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2022
This chapter begins by introducing the notions of mathematical expectation and utility. Then we explain how expected utility theory connects preference rankings to credence and utilities. We develop Savage’s decision theory, Jeffrey’s evidential decision theory, and causal decision theory. Along the way, such problems as risk aversion, Allais’ paradox,
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This chapter begins by introducing the notions of mathematical expectation and utility. Then we explain how expected utility theory connects preference rankings to credence and utilities. We develop Savage’s decision theory, Jeffrey’s evidential decision theory, and causal decision theory. Along the way, such problems as risk aversion, Allais’ paradox,
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utility theory and decision theory
1987The conjunction of utility theory and decision theory involves formulations of decision making in which the criteria for choice among competing alternatives are based on numerical representations of the decision agent’s preferences and values. Utility theory as such refers to those representations and to assumptions about preferences that correspond to
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Counterfactual Decision Theory Is Causal Decision Theory
Pacific Philosophical QuarterlyAbstractThe role of causation and counterfactuals in causal decision theory is vexed and disputed. Recently, Brian Hedden (2023) argues that we should abandon causal decision theory in favour of an alternative: counterfactual decision theory. I argue that, pace Hedden, counterfactual decision theory is not a competitor to, but rather a version of ...
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Philosophical Books, 1998
Schick, F., Making ChoicesSkyrms, B., Evolution of the Social ...
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Schick, F., Making ChoicesSkyrms, B., Evolution of the Social ...
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