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AAMAS
2005
Springer
15 years 3 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
113
Voted
AI
2005
Springer
15 years 3 months ago
Unsupervised named-entity extraction from the Web: An experimental study
The KNOWITALL system aims to automate the tedious process of extracting large collections of facts (e.g., names of scientists or politicians) from the Web in an unsupervised, doma...
Oren Etzioni, Michael J. Cafarella, Doug Downey, A...
AI
2005
Springer
15 years 3 months ago
Choosing words in computer-generated weather forecasts
One of the main challenges in automatically generating textual weather forecasts is choosing appropriate English words to communicate numeric weather data. A corpus-based analysis...
Ehud Reiter, Somayajulu Sripada, Jim Hunter, Jin Y...
138
Voted
AAMAS
2002
Springer
15 years 3 months ago
Adapting Populations of Agents
We control a population of interacting software agents. The agents have a strategy, and receive a payoff for executing that strategy. Unsuccessful agents become extinct. We investi...
Philippe De Wilde, Maria Chli, Luís Correia...
AI
2002
Springer
15 years 3 months ago
Improving heuristic mini-max search by supervised learning
This article surveys three techniques for enhancing heuristic game-tree search pioneered in the author's Othello program Logistello, which dominated the computer Othello scen...
Michael Buro
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