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TSMC
2008
229views more  TSMC 2008»
13 years 8 months ago
A Comprehensive Survey of Multiagent Reinforcement Learning
Multiagent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, and economics. The complexity of many task...
Lucian Busoniu, Robert Babuska, Bart De Schutter
CP
2001
Springer
14 years 29 days ago
A Dynamic Distributed Constraint Satisfaction Approach to Resource Allocation
Abstract. In distributed resource allocation a set of agents must assign their resources to a set of tasks. This problem arises in many real-world domains such as disaster rescue, ...
Pragnesh Jay Modi, Hyuckchul Jung, Milind Tambe, W...
ATAL
2008
Springer
13 years 10 months ago
Artificial agents learning human fairness
Recent advances in technology allow multi-agent systems to be deployed in cooperation with or as a service for humans. Typically, those systems are designed assuming individually ...
Steven de Jong, Karl Tuyls, Katja Verbeeck
WOA
2001
13 years 9 months ago
An Agent Based Design Process for Cognitive Architectures in Robotics
Nowadays, robots have to face very complex tasks, often requiring collaboration between several individuals. As a consequence, robotics can be considered one of the most suitable ...
Antonio Chella, Massimo Cossentino, Ignazio Infant...
IATA
1999
Springer
14 years 21 days ago
Market-Based Call Routing in Telecommunications Networks Using Adaptive Pricing and Real Bidding
We present a market-based approach to call routing in telecommunications networks. A system architecture is described that allows self-interested agents, representing various netwo...
M. A. Gibney, Nicholas R. Jennings, N. J. Vriend, ...