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AI
2002
Springer
13 years 7 months ago
On the computational complexity of assumption-based argumentation for default reasoning
ko et al. have recently proposed an abstract framework for default reasoning. Besides capturing most existing formalisms and proving that their standard semantics all coincide, th...
Yannis Dimopoulos, Bernhard Nebel, Francesca Toni
AI
2002
Springer
13 years 7 months ago
Coherence in finite argument systems
Systems provide a rich abstraction within which divers concepts of reasoning, acceptability and defeasibility of arguments, etc., may be studied using a unified framework. Two imp...
Paul E. Dunne, Trevor J. M. Bench-Capon
AI
2002
Springer
13 years 7 months ago
Multi-agent oriented constraint satisfaction
This paper presents a multi-agent oriented method for solving CSPs (Constraint Satisfaction Problems). In this method, distributed agents represent variables and a two-dimensional...
Jiming Liu, Han Jing, Yuan Yan Tang
AI
2002
Springer
13 years 7 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
AI
2002
Springer
13 years 7 months ago
Learning cost-sensitive active classifiers
Most classification algorithms are "passive", in that they assign a class label to each instance based only on the description given, even if that description is incompl...
Russell Greiner, Adam J. Grove, Dan Roth