GERARD VREESWIJK

EUMAS Conference 2013 Conference Paper

Extending Fictitious Play with Pattern Recognition

• Ronald Chu
• Gerard Vreeswijk

AAMAS Conference 2012 Conference Paper

Testing the Benefits of Structured Argumentation in Multi-Agent Deliberation Dialogues

• Eric Kok
• John-Jules Meyer
• Henry Prakken
• GERARD VREESWIJK

Work on argumentation-based dialogue systems often assumes that the adoption of argumentation leads to improved efficiency and effectiveness. Several studies have taken an experimental approach to prove these alleged benefits, but none has so far supported the expressiveness of a logic for structured argumentation. This paper shows how the use of argumentation in deliberation dialogues can be tested while supporting goal-based agents that use the ASPIC framework for structured argumentation.

EUMAS Conference 2011 Conference Paper

A Methodology for the Generation of Multi-agent Argumentation Dialogue Scenarios

• Eric M. Kok
• John-Jules Ch. Meyer
• Herre van Oostendorp
• Henry Prakken
• Gerard Vreeswijk

Abstract Increasingly research into the uses of argumentation in multi-agent dialogues takes an experimental approach. Such studies explore how agents can successfully employ argumentation besides the best and worst case situations of formal analysis. While a vital part in these experiments is influenced by the scenarios from which dialogues are generated, there is very little research on how these can be generated in a meaningful way, respecting the characteristics of the underlying dialogue problem. This paper proposes, by means of an example system for deliberation dialogues, a methodology for the construction and evaluation of a scenario generation process. It is shown how scenarios can accommodate argumentation with structured arguments and how it is tested whether the generated scenarios are interesting for experimentation.

KER Journal 2006 Journal Article

Towards an argument interchange format

• CARLOS CHESÑEVAR
• MCGINNIS
• Sanjay Modgil
• Iyad Rahwan
• Chris Reed
• GUILLERMO SIMARI
• MATTHEW SOUTH
• GERARD VREESWIJK

The theory of argumentation is a rich, interdisciplinary area of research straddling the fields of artificial intelligence, philosophy, communication studies, linguistics and psychology. In the last few years, significant progress has been made in understanding the theoretical properties of different argumentation logics. However, one major barrier to the development and practical deployment of argumentation systems is the lack of a shared, agreed notation or ‘interchange format’ for argumentation and arguments. In this paper, we describe a draft specification for an argument interchange format (AIF) intended for representation and exchange of data between various argumentation tools and agent-based applications. It represents a consensus ‘abstract model’ established by researchers across fields of argumentation, artificial intelligence and multi-agent systems. In its current form, this specification is intended as a starting point for further discussion and elaboration by the community, rather than an attempt at a definitive, all-encompassing model. However, to demonstrate proof of concept, a use case scenario is briefly described. Moreover, three concrete realizations or ‘reifications’ of the abstract model are illustrated.

JELIA Conference 2000 Conference Paper

Credulous and Sceptical Argument Games for Preferred Semantics

• Gerard Vreeswijk
• Henry Prakken

Abstract This paper presents dialectical proof theories for Dung’s pre-ferred semantics of defeasible argumentation. The proof theories have the form of argument games for testing membership of some (credulous reasoning) or all preferred extensions (sceptical reasoning). The credulous proof theory is for the general case, while the sceptical version is for the case where preferred semantics coincides with stable semantics. The development of these argument games is especially motivated by applica-tions of argumentation in automated negotiation, mediation of collective discussion and decision making, and intelligent tutoring.