Argumentation-based Example Interchage for Multiagent Induction

Argumentation-based Example Interchange for Multiagent Induction

Towards Argumentation-based Multiagent Induction

In this paper we propose an argumentation-based framework for multiagent induction, where two agents learn separately from individual training sets, and then engage in an argumentation process in order to converge to a common hypothesis about the data. The result is a multiagent induction strategy in which the agents minimize the set of cases that they have to exchange (using argumentation) in ...

Empirical Argumentation: Integrating Induction and Argumentation in MAS

This paper presents an approach that integrates notions and techniques from two distinct fields of study —namely inductive learning and argumentation in multiagent systems (MAS). We will first discuss inductive learning and the role argumentation plays in multiagent inductive learning. Then we focus on how inductive learning can be used to realize argumentation in MAS based on empirical grounds...

Multiagent Inductive Learning: an Argumentation-based Approach

Multiagent Inductive Learning is the problem that groups of agents face when they want to perform inductive learning, but the data of interest is distributed among them. This paper focuses on concept learning, and presents A-MAIL, a framework for multiagent induction integrating ideas from inductive learning, case-based reasoning and argumentation. Argumentation is used as a communication frame...

Special issue on argumentation in multi-agent systems

Different agents within a multiagent system (MAS) potentially have access to different information and different capabilities (including reasoning capabilities), different beliefs about the world, different preferences, constraints, and desires, and different goals. A key aspect of the scientific and engineering study of multiagent systems, therefore, has been the development of methods and pro...