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Modelling Power and Trust for Knowledge Distribution: An Argumentative Approach.

, , and . MICAI, volume 3789 of Lecture Notes in Computer Science, page 98-108. Springer, (2005)

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A logic programming framework for possibilistic argumentation: Formalization and logical properties., , , and . Fuzzy Sets and Systems, 159 (10): 1208-1228 (2008)Relational databases as a massive information source for defeasible argumentation., , , , , and . Knowl.-Based Syst., (2013)Intelligent query processing in P2P networks: Semantic issues and routing algorithms., , , and . Comput. Sci. Inf. Syst., 16 (2): 409-442 (2019)Argument-Based Expansion Operators in Possibilistic Defeasible Logic Programming: Characterization and Logical Properties., , , and . ECSQARU, volume 3571 of Lecture Notes in Computer Science, page 353-365. Springer, (2005)From Open Government to Open City: Lessons Learnt from Institutionalizing Open Government Practices in Bahía Blanca, Argentina., , , and . ICEGOV, page 232-235. ACM, (2017)An Approach to Argumentation Considering Attacks through Time., , , and . SUM, volume 7520 of Lecture Notes in Computer Science, page 99-112. Springer, (2012)DECIDE 2.0: a framework for intelligent processing of citizens' opinion in social media., , , and . DG.O, page 266-267. ACM, (2012)Empowering an E-Government Platform Through Twitter-Based Arguments., , , and . Inteligencia Artif., 15 (50): 46-56 (2012)A Hybrid Approach To Pattern Classification Using Neural Networks and Defeasible Argumentation., and . FLAIRS Conference, page 393-398. AAAI Press, (2004)Special issue on agreement technologies., , , and . Information Systems Frontiers, 17 (4): 707-711 (2015)