ARGUMENTATION-BASED REASONING SYSTEMS & MULTI-AGENT DIALOGUES

Location: 

Room 4421

Speaker: 

YUQING TANG

Abstract: 

Building computer systems that can act independently in our best interests while interacting with other humans or computer systems is one trend in the evolution of computer technology. This is the major theme of research in autonomous agent and multiagent systems, one of the most active subfields of artificial intelligence (AI). In this field, these computer systems are referred to as intelligent autonomous agents. This survey will focus on the use of a specific kind of reasoning mechanism — argumentationbased reasoning — to enable the agents to act autonomously, and a specific kind of inter-agent interaction mechanism — argumentation-based dialogues — to enable the agents to interact with each other. Argumentation-based reasoning is a nonmonotonic reasoning mechanism which can resolve the effects of conflicting information in an agent’s information about the world. With an inter-agent dialogue protocol, agents can communicate with each other and apply argumentation-based reasoning mechanism to resolve the conflicts arising from their different views of goals, beliefs, and actions. In this survey, I will investigate different systems of argumentation-based reasoning and different approaches for inter-agent communication and dialogue.

Committee: 

PROFESSOR SIMON PARSONS, MENTOR, BROOKLYN COLLEGE
DISTINGUISHED PROFESSOR SERGEI ARTEMOV, THE GRADUATE CENTER
PROFESSOR SAMIR CHOPRA, BROOKLYN COLLEGE