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» Analyzing Conflicts with Concept-Based Learning
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ICCS
2005
Springer
13 years 10 months ago
Analyzing Conflicts with Concept-Based Learning
A machine learning technique for handling scenarios of interaction between conflicting agents is suggested. Scenarios are represented by directed graphs with labeled vertices (for ...
Boris Galitsky, Sergei O. Kuznetsov, Mikhail V. Sa...
ATAL
2010
Springer
13 years 5 months ago
Learning multi-agent state space representations
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Yann-Michaël De Hauwere, Peter Vrancx, Ann No...
FLAIRS
2007
13 years 6 months ago
Interpretive Reasoning with Hypothetical Cases
Reasoning with hypothetical cases helps decision-makers evaluate alternate hypotheses for deciding a case. The hypotheticals demonstrate the sensitivity of a hypothesis to apparen...
Kevin D. Ashley
BIRTHDAY
2008
Springer
13 years 6 months ago
Dynamically Evolvable Dependable Software: From Oxymoron to Reality
We analyze the main motivations that lead to the present need for supporting continuous software evolution, and discuss some of the reasons for change requirements. Achieving softw...
Carlo Ghezzi, Paola Inverardi, Carlo Montangero
COLING
1992
13 years 5 months ago
Learning Translation Templates From Bilingual Text
This paper proposes a two-phase example-based machine translation methodology which develops translation templates from examples and then translates using template matching. This ...
Hiroyuki Kaji, Yuuko Kida, Yasutsugu Morimoto