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AAAI
1996
13 years 11 months ago
Incorporating Opponent Models into Adversary Search
This work presents a generalized theoretical framework that allows incorporation of opponent models into adversary search. We present the M algorithm, a generalization of minimax ...
David Carmel, Shaul Markovitch
ECAI
2004
Springer
14 years 3 months ago
Adversarial Constraint Satisfaction by Game-Tree Search
Many decision problems can be modelled as adversarial constraint satisfaction, which allows us to integrate methods from AI game playing. In particular, by using the idea of oppone...
Kenneth N. Brown, James Little, Páidí...
AI
1998
Springer
13 years 9 months ago
Pruning Algorithms for Multi-Model Adversary Search
The Multi-model search framework generalizes minimax to allow exploitation of recursive opponent models. In this work we consider adding pruning to the multi-model search. We prov...
David Carmel, Shaul Markovitch
SIGIR
2008
ACM
13 years 9 months ago
Adversarial Information Retrieval on the Web (AIRWeb 2007)
Carlos Castillo, Kumar Chellapilla, Brian D. Davis...
ECML
2005
Springer
14 years 3 months ago
Thwarting the Nigritude Ultramarine: Learning to Identify Link Spam
The page rank of a commercial web site has an enormous economic impact because it directly influences the number of potential customers that find the site as a highly ranked sear...
Isabel Drost, Tobias Scheffer