Judging an act’s causal efficacy plays a crucial role in causal decision theory. A recent development appeals to the causal modeling framework with an emphasis on the analysis of intervention based on the causal Bayes net for clarifying what causally depends on our acts. However, few writers have focused on exploring the usefulness of extending structural causal models to decision problems that are not ideal for intervention analysis. I found that it is structural models, rather than intervention analysis, serves as a valuable formal tool for a range of realistic decision problems that involve mixed causal mechanisms. The thesis concludes that structural models provide a more general framework for rational decision-makers
We propose a framework for decision support in a changing world that rests on mechanism-based causal...
A simple counterfactual theory of causation fails because of problems with cases of preemption. This...
[Introduction] Probabilistic theories of causation and probabilistic theories of rational decision ...
Judging an act’s causal efficacy plays a crucial role in causal decision theory. A recent developmen...
Causal considerations must be relevant to making decisions. Nevertheless, traditional decision theor...
This dissertation studies how the mechanism-based view of causality can assist in construction and u...
This dissertation studies how the mechanism-based view of causality can assist in construction and u...
This dissertation studies how the mechanism-based view of causality can assist in construction and u...
We investigate how people use causal knowledge to design interventions to affect the outcomes of cau...
Clark Glymour, together with his students Peter Spirtes and Richard Scheines, did pioneering work on...
Abstract: Recently, a number of rational theories have been put forward which provide a coherent for...
Contains fulltext : 173902.pdf (publisher's version ) (Open Access)Normative causa...
We consider the dispute between causal decision theorists and evidential decision theorists over New...
We develop a mathematical and interpretative foundation for the enterprise of decision-theoretic (DT...
Normative causal decision theories argue that people should use their causal knowledge in decision m...
We propose a framework for decision support in a changing world that rests on mechanism-based causal...
A simple counterfactual theory of causation fails because of problems with cases of preemption. This...
[Introduction] Probabilistic theories of causation and probabilistic theories of rational decision ...
Judging an act’s causal efficacy plays a crucial role in causal decision theory. A recent developmen...
Causal considerations must be relevant to making decisions. Nevertheless, traditional decision theor...
This dissertation studies how the mechanism-based view of causality can assist in construction and u...
This dissertation studies how the mechanism-based view of causality can assist in construction and u...
This dissertation studies how the mechanism-based view of causality can assist in construction and u...
We investigate how people use causal knowledge to design interventions to affect the outcomes of cau...
Clark Glymour, together with his students Peter Spirtes and Richard Scheines, did pioneering work on...
Abstract: Recently, a number of rational theories have been put forward which provide a coherent for...
Contains fulltext : 173902.pdf (publisher's version ) (Open Access)Normative causa...
We consider the dispute between causal decision theorists and evidential decision theorists over New...
We develop a mathematical and interpretative foundation for the enterprise of decision-theoretic (DT...
Normative causal decision theories argue that people should use their causal knowledge in decision m...
We propose a framework for decision support in a changing world that rests on mechanism-based causal...
A simple counterfactual theory of causation fails because of problems with cases of preemption. This...
[Introduction] Probabilistic theories of causation and probabilistic theories of rational decision ...