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» Learning Models of Intelligent Agents
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ATAL
2010
Springer
15 years 5 months ago
Agent interaction, multiple perspectives, and swarming simulation
Agents in a multi-agent system do not act in a vacuum. The outcome of their efforts depends on the environment in which they seek to act, and in particular on the efforts of other...
H. Van Dyke Parunak, Robert Bisson, Sven A. Brueck...
ATAL
2006
Springer
15 years 8 months ago
Learning the task allocation game
The distributed task allocation problem occurs in domains like web services, the grid, and other distributed systems. In this problem, the system consists of servers and mediators...
Sherief Abdallah, Victor R. Lesser
AIPS
2000
15 years 5 months ago
Challenges and Methods in Testing the Remote Agent Planner
The Remote Agent Experiment (RAX) on the Deep Space 1 (DS1) mission was the first time that an artificially intelligent agent controlled a NASA spacecraft. One of the key componen...
Benjamin D. Smith, Martin S. Feather, Nicola Musce...
EICS
2009
ACM
15 years 9 months ago
AUGUR: providing context-aware interaction support
As user interfaces become more and more complex and feature laden, usability tends to decrease. One possibility to counter this effect are intelligent support mechanisms. In this ...
Melanie Hartmann, Daniel Schreiber, Max Mühlh...
ML
2006
ACM
113views Machine Learning» more  ML 2006»
15 years 4 months ago
Learning to bid in bridge
Bridge bidding is considered to be one of the most difficult problems for game-playing programs. It involves four agents rather than two, including a cooperative agent. In additio...
Asaf Amit, Shaul Markovitch