Reference : Monotonic and non-monotonic inference for abstract argumentation |
Scientific congresses, symposiums and conference proceedings : Paper published in a book | |||
Engineering, computing & technology : Computer science | |||
http://hdl.handle.net/10993/10410 | |||
Monotonic and non-monotonic inference for abstract argumentation | |
English | |
Booth, Richard ![]() | |
Kaci, Souhila [] | |
Rienstra, Tjitze ![]() | |
van der Torre, Leon ![]() | |
2013 | |
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2013 | |
Yes | |
International | |
26th International Florida Artificial Intelligence Research Society Conference (FLAIRS 2013) | |
May 2013 | |
[en] reasoning about the outcome ; argumentation framework | |
[en] We present a new approach to reasoning about the outcome
of an argumentation framework, where an agent’s reasoning with a framework and semantics is represented by an inference relation defined over a logical labeling language. We first study a monotonic type of inference which is, in a sense, more general than an acceptance function, but equally expressive. In order to overcome the limitations of this expressiveness, we study a non-monotonic type of inference which allows counterfactual inferences. We precisely characterize the classes of frameworks distinguishable by the non-monotonic inference relation for the admissible semantics. | |
Researchers ; Professionals ; Students ; General public ; Others | |
http://hdl.handle.net/10993/10410 | |
http://icr.uni.lu/rbooth/Papers_files/flairs_rienstra.pdf |
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