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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
AAAI
2006
15 years 5 months ago
Table Extraction Using Spatial Reasoning on the CSS2 Visual Box Model
Tables on web pages contain a huge amount of semantically explicit information, which makes them a worthwhile target for automatic information extraction and knowledge acquisition...
Wolfgang Gatterbauer, Paul Bohunsky
ATAL
2007
Springer
15 years 10 months ago
A formal model for situated semantic alignment
Ontology matching is currently a key technology to achieve the semantic alignment of ontological entities used by knowledge-based applications, and therefore to enable their inter...
Manuel Atencia, W. Marco Schorlemmer
MABS
2007
Springer
15 years 10 months ago
Beyond Accuracy. Reputation for Partner Selection with Lies and Retaliation
In an unpredictable, heterogeneous world, intelligent agents depend on accurate social information; reputation, among the preeminent artifacts to transmit social evaluations, has b...
Isaac Pinyol, Mario Paolucci, Jordi Sabater-Mir, R...
ATAL
2008
Springer
15 years 6 months ago
A heads-up no-limit Texas Hold'em poker player: discretized betting models and automatically generated equilibrium-finding progr
We present Tartanian, a game theory-based player for headsup no-limit Texas Hold'em poker. Tartanian is built from three components. First, to deal with the virtually infinit...
Andrew Gilpin, Tuomas Sandholm, Troels Bjerre S&os...