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ArgMAS'05 Proceedings of the Second international conference on Argumentation in Multi-Agent Systems
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ArgMAS'05 Proceedings of the Second international conference on Argumentation in Multi-Agent Systems
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ArgMAS'09 Proceedings of the 6th international conference on Argumentation in Multi-Agent Systems
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ArgMAS'09 Proceedings of the 6th international conference on Argumentation in Multi-Agent Systems
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ArgMAS'09 Proceedings of the 6th international conference on Argumentation in Multi-Agent Systems
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ArgMAS'09 Proceedings of the 6th international conference on Argumentation in Multi-Agent Systems
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ArgMAS'09 Proceedings of the 6th international conference on Argumentation in Multi-Agent Systems
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The objective of this paper is to define a decision support system over SOX (Sarbanes-Oxley Act) compatibility and quality of the Suppliers Selection Process based on Artificial Intelligence and Argumentation Theory knowledge and techniques. Thepresent SOX Law, in effect nowadays, was created to improve financial government control over US companies. This law is a factor standard out United States due to several factors like present globalization, expansion of US companies, or key influence of US stock exchange markets worldwide. This paper constitutes a novel approach to this kind of problems due to following elements: (1) it has an optimized structure to look for the solution, (2) it has a dynamic learningmethod to handle court and control gonvernment bodies decisions, (3) it uses fuzzy knowledge to improve its performance, and (4) it uses its past accumulated experience to let the system evolve far beyond its initial state.