We propose an integrated theoretical framework, grounded in possibility theory, to account for all the aspects involved in representing and changing beliefs, representing and gene...
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
- Our paper focuses on the generation of optimal test sequences and test cases using Intelligent Agents for highly reliable systems. Test sequences support test case generation for...
Abstract. The ability to view extended logic programs as argumentation systems opens the way for the use of this language in formalizing communication among reasoning computing age...
Abstract. Agents may choose to ignore contract violations if the costs of enforcing the contract exceed the compensation they would receive. In this paper we provide an argumentati...