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ATAL
2005
Springer
14 years 3 months ago
Voting policies that cope with unreliable agents
Collaboration plays a critical role when a team is striving for goals that are difficult to achieve by an individual. In previous work, we defined the ETAPP (Environment-TaskAgen...
Christian Guttmann, Ingrid Zukerman
GEO
2000
13 years 11 months ago
Satisfying Interaction Constraints
: In feature modelling, constraints can be used to store design intent in a model. Interaction constraints are an important type of constraints, which limit the extent to which fea...
Alex Noort, Rafael Bidarra, Willem F. Bronsvoort
KCAP
2009
ACM
14 years 4 months ago
Interactively shaping agents via human reinforcement: the TAMER framework
As computational learning agents move into domains that incur real costs (e.g., autonomous driving or financial investment), it will be necessary to learn good policies without n...
W. Bradley Knox, Peter Stone
AAAI
2008
14 years 12 days ago
Planning for Human-Robot Interaction Using Time-State Aggregated POMDPs
In order to interact successfully in social situations, a robot must be able to observe others' actions and base its own behavior on its beliefs about their intentions. Many ...
Frank Broz, Illah R. Nourbakhsh, Reid G. Simmons
EMSOFT
2004
Springer
14 years 3 months ago
A model-based approach to integrating security policies for embedded devices
Embedded devices like smart cards can now run multiple interacting applications. A particular challenge in this domain is to dynamically integrate diverse security policies. In th...
Michael McDougall, Rajeev Alur, Carl A. Gunter