Meta-learning system for KDD is an open and evolving platform for efficient testing and intelligent recommendation of data mining process. Metalearning is adopted to automate the s...
This paper is concerned with argumentation-based dialogues between agents. Much work in this area has been based upon an influential taxonomy of dialogue types developed by Walto...
We analyze the notion of organizational structure in multiagent systems and explain the precise added value and the effects of such organizational structure on the involved agents...
Davide Grossi, Frank Dignum, Mehdi Dastani, Lamb&e...
This paper presents an argumentation-based approach to deliberation, the process by which two or more agents reach a consensus on a course of action. The kind of deliberation we a...
Abstract. A strong research emphasis is being given towards regulating interoperable multi-agent environments through norms and institutions. We are concerned with environments in ...