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IAT
2010
IEEE
15 years 4 months ago
Selecting Operator Queries Using Expected Myopic Gain
When its human operator cannot continuously supervise (much less teleoperate) an agent, the agent should be able to recognize its limitations and ask for help when it risks making...
Robert Cohn, Michael Maxim, Edmund H. Durfee, Sati...
IEEESCC
2009
IEEE
16 years 1 months ago
Dynamic Service Composition in Ambient Intelligence Environment
In Ambient Intelligence (AmI) environments, some services provided by AmI devices are often not visible to users and to other devices. The existing approaches deal with servicesā€...
Yazid Benazzouz, Nicolas Sabouret, Belkacem Chikha...
248
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LAMAS
2005
Springer
16 years 4 days ago
An Overview of Cooperative and Competitive Multiagent Learning
Abstract Multi-agent systems (MASs) is an area of distributed artificial intelligence that emphasizes the joint behaviors of agents with some degree of autonomy and the complexiti...
Pieter Jan't Hoen, Karl Tuyls, Liviu Panait, Sean ...
KI
1998
Springer
15 years 11 months ago
From Theory to Practice in Multiagent System Design: The Case of Structural Co-operation
Abstract. In Distributed Problem-solving (DPS) systems a group of purposefully designed computational agents interact and co-ordinate their activities so as to jointly achieve a gl...
Sascha Ossowski, Ana García-Serrano, Jos&ea...
ATAL
2009
Springer
16 years 1 months ago
Dialogues that account for different perspectives in collaborative argumentation
It is often the case that agents within a system have distinct types of knowledge. Furthermore, whilst common goals may be agreed upon, the particular representations of the indiv...
Elizabeth Black, Katie Atkinson