An Argumentative Reasoning Service for Deliberative Agents

Abstract. In this paper we propose a model that allows agents to deliberate using defeasible argumentation, to share knowledge with other agents, and to represent individual knowledge privately. We describe the design and implementation of a Defeasible Logic Programming Server that handles queries from several remote client agents. Queries will be answered using public knowledge stored in the Server and individual knowledge that client agents can send as part of a query, providing a particular context for it. The Server will answer these contextual queries using a defeasible argumentative analysis. Different types of contextual queries are presented and analyzed.

• Type: Conference
• Year: 2007
• Where: KSEM
• Authors: Alejandro Javier García, Nicolás D. Rotstein, Mariano Tucat, Guillermo Ricardo Simari
• Keywords: Client Agents, Contextual Queries, Individual Knowledge, KSEM 2007