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CL
2000
Springer
13 years 11 months ago
Logic, Knowledge Representation, and Bayesian Decision Theory
In this paper I give a brief overview of recent work on uncertainty inAI, and relate it to logical representations. Bayesian decision theory and logic are both normative frameworks...
David Poole
ITS
2000
Springer
94views Multimedia» more  ITS 2000»
13 years 11 months ago
DT Tutor: A Decision-Theoretic, Dynamic Approach for Optimal Selection of Tutorial Actions
DT Tutor uses a decision-theoretic approach to select tutorial actions for coached problem solving that are optimal given the tutor's beliefs and objectives. It employs a mode...
R. Charles Murray, Kurt VanLehn
AAAI
2007
13 years 9 months ago
ESP: A Logic of Only-Knowing, Noisy Sensing and Acting
When reasoning about actions and sensors in realistic domains, the ability to cope with uncertainty often plays an essential role. Among the approaches dealing with uncertainty, t...
Alfredo Gabaldon, Gerhard Lakemeyer
JAL
2008
83views more  JAL 2008»
13 years 7 months ago
Objective Bayesian probabilistic logic
This paper develops connections between objective Bayesian epistemology--which holds that the strengths of an agent's beliefs should be representable by probabilities, should...
Jon Williamson
KBS
2011
81views more  KBS 2011»
13 years 2 months ago
Existential rigidity and many modalities in order-sorted logic
Order-sorted logic is a useful tool for knowledge representation and reasoning because it enables representation of sorted terms and formulas along with partially ordered sorts (c...
Ken Kaneiwa