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AAMAS
2005
Springer
15 years 6 months ago
Cooperative Multi-Agent Learning: The State of the Art
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...
Liviu Panait, Sean Luke
AI
2002
Springer
15 years 6 months ago
Algorithm for optimal winner determination in combinatorial auctions
Combinatorial auctions, that is, auctions where bidders can bid on combinations of items, tend to lead to more efficient allocations than traditional auction mechanisms in multi-i...
Tuomas Sandholm
AI
2011
Springer
15 years 1 months ago
State agnostic planning graphs: deterministic, non-deterministic, and probabilistic planning
Planning graphs have been shown to be a rich source of heuristic information for many kinds of planners. In many cases, planners must compute a planning graph for each element of ...
Daniel Bryce, William Cushing, Subbarao Kambhampat...
TSP
2010
15 years 1 months ago
Sequential and cooperative sensing for multi-channel cognitive radios
Effective spectrum sensing is a critical prerequisite for multi-channel cognitive radio (CR) networks, where multiple spectrum bands are sensed to identify transmission opportuniti...
Seung-Jun Kim, Georgios B. Giannakis
GECCO
2007
Springer
138views Optimization» more  GECCO 2007»
16 years 14 days ago
Unwitting distributed genetic programming via asynchronous JavaScript and XML
The success of a genetic programming system in solving a problem is often a function of the available computational resources. For many problems, the larger the population size an...
Jon Klein, Lee Spector