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» Reasoning about Partially Observed Actions
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FLAIRS
2006
14 years 11 months ago
Improving Case-Based Recommendations Using Implicit Feedback
A recommender system suggests items to a user for a given query by personalizing the recommendations based on the user interests. User personalization is usually done by asking us...
Deepak Khemani, Mohamed A. K. Sadiq, Rakesh Bangan...
75
Voted
AAAI
2010
14 years 11 months ago
Probabilistic Plan Recognition Using Off-the-Shelf Classical Planners
Plan recognition is the problem of inferring the goals and plans of an agent after observing its behavior. Recently, it has been shown that this problem can be solved efficiently,...
Miquel Ramírez, Hector Geffner
103
Voted
PROMAS
2004
Springer
15 years 3 months ago
Coordinating Teams in Uncertain Environments: A Hybrid BDI-POMDP Approach
Distributed partially observable Markov decision problems (POMDPs) have emerged as a popular decision-theoretic approach for planning for multiagent teams, where it is imperative f...
Ranjit Nair, Milind Tambe
BROADNETS
2007
IEEE
15 years 4 months ago
DIMPLE: DynamIc Membership ProtocoL for epidemic protocols
—Epidemic protocols assume that information of a random set of nodes is provided at each protocol round. By definition, the random set needs to be chosen uniformly and randomly ...
Jin Sun, Paul J. Weber, Byung Kyu Choi, Roger M. K...
ATAL
2007
Springer
15 years 3 months ago
Real-time agent characterization and prediction
Reasoning about agents that we observe in the world is challenging. Our available information is often limited to observations of the agent’s external behavior in the past and p...
H. Van Dyke Parunak, Sven Brueckner, Robert S. Mat...