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FLAIRS
2004
13 years 9 months ago
Identifying Critical Factors in Case-Based Prediction
A reversible outcome is one that can be changed. For example, the failure of an ongoing project may be avoided if certain actions are taken, while an outcome such as the path of a...
Rosina Weber, William M. Evanco, Michael Waller, J...
NIPS
1993
13 years 8 months ago
Packet Routing in Dynamically Changing Networks: A Reinforcement Learning Approach
This paper describes the Q-routing algorithm for packet routing, in which a reinforcement learning module is embedded into each node of a switching network. Only local communicati...
Justin A. Boyan, Michael L. Littman
DEON
2008
Springer
13 years 9 months ago
Changing Legal Systems: Abrogation and Annulment Part I: Revision of Defeasible Theories
Abstract. In this paper we investigate how to model legal abrogation and annulment in Defeasible Logic. We examine some options that embed in this setting, and similar rule-based s...
Guido Governatori, Antonino Rotolo
JAIR
2011
144views more  JAIR 2011»
13 years 2 months ago
Iterated Belief Change Due to Actions and Observations
In action domains where agents may have erroneous beliefs, reasoning about the effects of actions involves reasoning about belief change. In this paper, we use a transition system...
Aaron Hunter, James P. Delgrande