Authors
Sanjay Modgil, Francesca Toni, Floris Bex, Ivan Bratko, Carlos I Chesnevar, Wolfgang Dvořák, Marcelo A Falappa, Xiuyi Fan, Sarah Alice Gaggl, Alejandro J García, María P González, Thomas F Gordon, Joao Leite, Martin Možina, Chris Reed, Guillermo R Simari, Stefan Szeider, Paolo Torroni, Stefan Woltran
Publication date
2013
Journal
Agreement technologies
Pages
357-403
Publisher
Springer Netherlands
Description
We discuss the value of argumentation in reaching agreements, based on its capability for dealing with conflicts and uncertainty. Logic-based models of argumentation have recently emerged as a key topic within Artificial Intelligence. Key reasons for the success of these models is that they are akin to human models of reasoning and debate, and their generalisation to frameworks for modelling dialogues. They therefore have the potential for bridging between human and machine reasoning in the presence of uncertainty and conflict. We provide an overview of a number of examples that bear witness to this potential, and that illustrate the added value of argumentation. These examples amount to methods and techniques for argumentation to aid machine reasoning (e.g. in the form of machine learning and belief functions) on the one hand and methods and techniques for argumentation to aid human …
Total citations
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Scholar articles
S Modgil, F Toni, F Bex, I Bratko, CI Chesnevar… - Agreement technologies, 2013