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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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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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IEEE Transactions on Smart Grid, 2017
This paper proposes a novel method based on information gap decision theory to evaluate a profitable operation strategy for combined heat and power units in a liberalized electricity market.
J. Aghaei +6 more
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This paper proposes a novel method based on information gap decision theory to evaluate a profitable operation strategy for combined heat and power units in a liberalized electricity market.
J. Aghaei +6 more
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The Knowledge Engineering Review, 1990
Research on planning in AI can be separated into the two major areas: plan generation and plan representation. Most AI planners to date have been based on the STRIPS planning representation. This representation has a number of limitations. Much recent work in plan representation has addressed these limitations.
Peter Haddawy, Larry A. Rendell
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Research on planning in AI can be separated into the two major areas: plan generation and plan representation. Most AI planners to date have been based on the STRIPS planning representation. This representation has a number of limitations. Much recent work in plan representation has addressed these limitations.
Peter Haddawy, Larry A. Rendell
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JMIR Research Protocols
Background Type 1 diabetes (T1D) requires repeated self-management behaviors and ongoing problem-solving to maintain optimal glucose levels and prevent complications. Despite increasing adoption of continuous glucose monitoring (CGM), which can alleviate
M. DeJonckheere +14 more
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Background Type 1 diabetes (T1D) requires repeated self-management behaviors and ongoing problem-solving to maintain optimal glucose levels and prevent complications. Despite increasing adoption of continuous glucose monitoring (CGM), which can alleviate
M. DeJonckheere +14 more
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Production planning & control (Print), 2019
Consider an estimator δ : X 7→ Θ. From a decision theoretic perspective, is said to be “frequentist” if it is designed to minimize the “frequentist” risk R(θ∗, δ), ideally in some global sense as θ∗ ranges over Θ (for instance, in a minimax sense ...
Pradeep Ravikumar
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Consider an estimator δ : X 7→ Θ. From a decision theoretic perspective, is said to be “frequentist” if it is designed to minimize the “frequentist” risk R(θ∗, δ), ideally in some global sense as θ∗ ranges over Θ (for instance, in a minimax sense ...
Pradeep Ravikumar
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The general theory of decisions
Information Sciences, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rafik A. Aliev +3 more
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Philosophy of Science, 1983
It is not easy to assess the extent to which decision theory constitutes a contribution to philosophy. On the one hand, the enthusiasts seem tirelessly to churn out highly technical Bayesian reconstructions of scientific practice. On the other hand, their opponents dismiss the result as a body of theory that is overidealized and falsely precise ...
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It is not easy to assess the extent to which decision theory constitutes a contribution to philosophy. On the one hand, the enthusiasts seem tirelessly to churn out highly technical Bayesian reconstructions of scientific practice. On the other hand, their opponents dismiss the result as a body of theory that is overidealized and falsely precise ...
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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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2015
What the reader should know to understand this chapter\(\bullet \) Basic notions of statistics and probability theory (see Appendix A). \(\bullet \) Calculus notions are an advantage.
CAMASTRA, Francesco +1 more
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What the reader should know to understand this chapter\(\bullet \) Basic notions of statistics and probability theory (see Appendix A). \(\bullet \) Calculus notions are an advantage.
CAMASTRA, Francesco +1 more
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