Posts Tagged ‘CMNA 2014’

The 1st International Workshop for Methodologies for Research on Legal Argumentation (MET-ARG)

December 10, 2014, Kraków, Poland at JURIX 2014 (The 27th International Conference on Legal Knowledge and Information Systems, http://conference.jurix.nl/2014/)

MET-ARG is held in conjunction with the CMNA 14 workshop (http://www.cmna.info/CMNA14) and is organized under auspices of the ArgDiaP organisation (http://argdiap.pl/)

The aim of the workshop is to provide a space for exchange of methodological ideas concerning the research on legal argumentation from three perspectives: AI and Law, argumentation theory and legal theory. Since a thorough discussion of scientific aims and adopted methodologies is needed in this field, our main motivation is to discuss some perspectives of cooperation and mutual inspiration among these three research areas in order to develop more effective, accurate and scientifically adequate theories and models of legal argumentation. This may lead to establishing of interdisciplinary research projects related to legal argumentation.

Since we intend to facilitate a vivid and fruitful discussion of these issues, we would like to call for participation in the workshop on behalf of the organizing committee.



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CMNA 2014

the 14th workshop on Computational Models of Natural Argument

joint with the 1st International Workshop on Methodologies for Research on Legal Argumentation in association with JURIX 2014

10th December 2014 – Krakow – Poland


The series of workshops on Computational Models of Natural Argument is continuing to attract high quality submissions from researchers around the world since its inception in 2001. Like the past editions, CMNA 14 acts to nurture and provide succor to the ever growing community working on Argument and Computation, a field developed in recent years overlapping Argumentation Theory and Artificial Intelligence.

AI has witnessed a prodigious growth in uses of argumentation throughout many of its subdisciplines: agent system negotiation protocols that demonstrate higher levels of sophistication and robustness; argumentation-based models of evidential relations and legal processes that are more expressive; groupwork tools that use argument to structure interaction and debate; computer-based learning tools that exploit monological and dialogical argument structures in designing pedagogic environments; decision support systems that build upon argumentation theoretic models of deliberation to better integrate with human reasoning; and models of knowledge engineering structured around core concepts of argument to simplify knowledge elicitation and representation problems. Furthermore, benefits have not been unilateral for AI, as demonstrated by the increasing presence of AI scholars in classical argumentation theory events and journals, and AI implementations of argument finding application in both research and pedagogic practice within philosophy and argumentation theory.

Full information, including deadlines, are available at the conference website: CMNA 2014.

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