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The workshop intends to recognise and consolidate the critical mass that research in the field overlapping Argumentation Theory and Artificial Intelligence has developed in recent years. Potentials for exploitation of literature in the philosophical theory of argumentation, in informal logic, in dialectics, have been recognised relatively recently by researchers in artificial intelligence, but already fruits of such cross fertilisation are beginning to ripen. Research in negotiation protocols for multi-agent systems, showing higher level of sophistication, including explicit treatment of autonomy, delegation and trust, is probably the most evident and recent result of such collaboration, but important issues have also been raised in the fields of Artificial Intelligence and Law, in Computational Linguistics, in Computer Supported Collaborative Work, in Artificial Intelligence and Education, together with classical research in knowledge representation and reasoning. Benefits have not been unilateral for AI, as proved by various collaborations with those interested in the philosophy of argument, and by the increasing presence of AI scholars in classical argumentation theory events. The workshop that we are proposing here focuses itself on answering one particular core question: how can "natural" argumentation be modelled? The need for more "naturalness" has been raised on several occasions, and several interpretations have been given to the attribute. Especially when the human is involved in the loop, arguments which are, for instance, expressed in natural language are definitely more appropriate. But the use of human languages is not the only way to bring the reasoning process closer to its users. Naturalness may involve the use of means which are more immediate than language to illustrate a point, such as graphics or multimedia. Naturalness can also relate to the preference for one particular style of reasoning as opposed to another, to structure complex arguments. Or to the use of more sophisticated rhetorical devices, interacting at various layers of abstraction. Or the exploitation of "extra-rational" characteristics of the audience, taking into account emotions and affective factors. In perhaps not so extreme cases, natural argumentation may also lead to the relaxation of the hypothesis of collaborativeness (or indeed sincerity) among arguing agents, and therefore to the need of not excluding a priori the ability to "protect" oneself by means of deceptive behaviour. CMNA 2003 is the third workshop in the series, and will be held at IJCAI-03 in Acapulco, Mexico, the first having been held at ICCS in 2001 in San Francisco, and the second at ECAI in 2002 in Lyon. The call for papers in now closed. The preliminary schedule is as follows:
The workshop is therefore specifically aimed at gathering together scholars from diverse disciplines and backgrounds to establish the current state of the art in the interdisciplinary area overlapping the philosophy or argumentation and AI, and to provide a forum in which to develop new cross-disciplinary collaborations and new lines of inquiry. Submission InstructionsThe workshop encourages submissions in two categories:
Authors of papers accepted to CMNA 2001, CMNA 2002 and CMNA 2003 will be invited to revise and resubmit their manuscripts for publication in a special issue of the International Journal of Intelligent Systems. The workshop again aims to stimulate discussion, and in service of this ideal, our submission deadline is a little early to allow pre-workshop discussion. Details of this process will be sent to authors of accepted papers. Note: Participants are expected to register for the main IJCAI conference in addition to the workshop. Important Dates and Deadlines
Organizing CommitteeChris Reed (Chair)
Floriana Grasso
Giuseppe Carenini
Program CommitteeLeila Amgoud, IRIT (Institut de Recherche en Informatique de Toulouse) Trevor Bench-Capon, University of Liverpool Alison Cawsey, Heriot-Watt University, Edinburgh Fiorella de Rosis, University of Bari Rino Falcone, Institute of Cognitive Science and Technology - CNR, Rome John Fox, Advanced Computational Lab, Cancer Research UK, London Nancy Green, University of North Carolina Greensboro Peter McBurney, University of Liverpool David Moore, Leeds Metropolitan University Simon Parsons, City University of New York Henry Prakken, University of Utrecht Ehud Reiter, University of Aberdeen and others to be confirmed |