Minimizing Regret in Dynamic Decision Problems
January 31, 2015 Β· Declared Dead Β· π European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
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Authors
Joseph Y. Halpern, Samantha Leung
arXiv ID
1502.00152
Category
cs.AI: Artificial Intelligence
Citations
5
Venue
European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Last Checked
4 months ago
Abstract
The menu-dependent nature of regret-minimization creates subtleties when it is applied to dynamic decision problems. Firstly, it is not clear whether \emph{forgone opportunities} should be included in the \emph{menu}, with respect to which regrets are computed, at different points of the decision problem. If forgone opportunities are included, however, we can characterize when a form of dynamic consistency is guaranteed. Secondly, more subtleties arise when sophistication is used to deal with dynamic inconsistency. In the full version of this paper, we examine, axiomatically and by common examples, the implications of different menu definitions for sophisticated, regret-minimizing agents.
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