Pragmatics and natural language generation
Artificial Intelligence
FAPR '96 Proceedings of the International Conference on Formal and Applied Practical Reasoning
A Social Semantics for Agent Communication Languages
Issues in Agent Communication
Dialogue Frames in Agent Communication
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
The reliability of a dialogue structure coding scheme
Computational Linguistics
Information state and dialogue management in the TRINDI dialogue move engine toolkit
Natural Language Engineering
Argument-based applications to knowledge engineering
The Knowledge Engineering Review
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
Agent UML: A Formalism for Specifying Multiagent Software Systems
Agent-Oriented Software Engineering
Towards an argument interchange format
The Knowledge Engineering Review
AIF+: Dialogue in the Argument Interchange Format
Proceedings of the 2008 conference on Computational Models of Argument: Proceedings of COMMA 2008
Arguing with justifications between collaborating agents
ArgMAS'11 Proceedings of the 8th international conference on Argumentation in Multi-Agent Systems
Measuring and analyzing agents' uncertainty in argumentation-based negotiation dialogue games
Expert Systems with Applications: An International Journal
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Dialogic argumentation is a crucial component in many computational domains, and forms a core component of argumentation theory. This paper compares two approaches to dialogue that have grown from two different disciplines; the descriptive-normative approach of applied philosophy, and the formal, implemented approach of computer science. The commonalities between the approaches are explored in developing a means for representing dialogic argumentation in a common format. This common format uses an XML-based language that views locutions as state-changing operations, drawing on an analogy with classical artificial intelligence planning. This representation is then shown to hold a number of important advantages in areas of artificial intelligence and philosophy.