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» Building Explainable Artificial Intelligence Systems
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ATAL
2006
Springer
14 years 11 months ago
An argumentation based approach for practical reasoning
We build on recent work on argumentation frameworks for generating desires and plans. We provide a rich instantiDung's abstract argumentation framework for (i) generating con...
Iyad Rahwan, Leila Amgoud
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
14 years 11 months ago
Enhanced generalized ant programming (EGAP)
This paper begins by reviewing different methods of automatic programming while emphasizing the technique of Ant Programming (AP). AP uses an ant foraging metaphor in which ants g...
Amirali Salehi-Abari, Tony White
ATAL
2010
Springer
14 years 11 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...
GECCO
2005
Springer
130views Optimization» more  GECCO 2005»
15 years 3 months ago
ATNoSFERES revisited
ATNoSFERES is a Pittsburgh style Learning Classifier System (LCS) in which the rules are represented as edges of an Augmented Transition Network. Genotypes are strings of tokens ...
Samuel Landau, Olivier Sigaud, Marc Schoenauer
ATAL
2006
Springer
15 years 1 months ago
Hierarchical planning in BDI agent programming languages: a formal approach
This paper provides a general mechanism and a solid theoretical basis for performing planning within Belief-Desire-Intention (BDI) agents. BDI agent systems have emerged as one of...
Sebastian Sardiña, Lavindra de Silva, Lin P...