KMi Seminars
Arguing for Intelligence: The Roles of Argumentation in AI
This event took place on Thursday 09 December 2004 at 14:15

Dr Chris Reed Department of Applied Computing, University of Dundee, Scotland

In contrast to the formal analysis of reasoned argument, pursued by mathematicians since the turn of the century, a small band of philosophers and linguists have been attempting to reconcile a formal, powerful analysis with the demands of real world, natural argumentation. The endeavour is termed 'argumentation theory', under which head are collected fallacy theory, enthymeme reconstruction, subjective plausibility, dialectics and rhetoric, amongst others. These various techniques and subfields have turned out to have a wide range of applications in artificial intelligence. Coordination in multi-agent systems, persuasive text generation in computational linguistics, e-democracy and computer-supported collaborative work, defeasible and other nonclassical logics, legal support systems and other areas have all made use of various aspects of argumentation theory. In this talk, I shall focus upon projects under way at Dundee, not only to show a variety of applications of argumentation theory in many of these domains, but also to demonstrate the potential for coherence and reuse between them.

Replay should be available within one week of the event.

 
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Social Software is...


Social Software
Social Software can be thought of as "software which extends, or derives added value from, human social behaviour - message boards, musical taste-sharing, photo-sharing, instant messaging, mailing lists, social networking."

Interacting with other people not only forms the core of human social and psychological experience, but also lies at the centre of what makes the internet such a rich, powerful and exciting collection of knowledge media. We are especially interested in what happens when such interactions take place on a very large scale -- not only because we work regularly with tens of thousands of distance learners at the Open University, but also because it is evident that being part of a crowd in real life possesses a certain 'buzz' of its own, and poses a natural challenge. Different nuances emerge in different user contexts, so we choose to investigate the contexts of work, learning and play to better understand the trade-offs involved in designing effective large-scale social software for multiple purposes.