On the Refinement of Compensation-Based Semantics for Weighted Argumentation Frameworks

[1]  Sanjay Modgil,et al.  Reasoning about preferences in argumentation frameworks , 2009, Artif. Intell..

[2]  Nir Oren,et al.  Probabilistic Argumentation Frameworks , 2011, TAFA.

[3]  Radko Mesiar,et al.  Triangular Norms , 2000, Trends in Logic.

[4]  Philippe Besnard,et al.  Bridging the Gap between Abstract Argumentation Systems and Logic , 2009, SUM.

[5]  Leila Amgoud,et al.  Ranking-Based Semantics for Argumentation Frameworks , 2013, SUM.

[6]  Pietro Baroni,et al.  Automatic evaluation of design alternatives with quantitative argumentation , 2015, Argument Comput..

[7]  Anthony Hunter,et al.  A probabilistic approach to modelling uncertain logical arguments , 2013, Int. J. Approx. Reason..

[8]  Vipin Kumar,et al.  Feature bagging for outlier detection , 2005, KDD '05.

[9]  Srdjan Vesic,et al.  Acceptability Semantics for Weighted Argumentation Frameworks , 2017, IJCAI.

[10]  Didier Dubois,et al.  On the Qualitative Comparison of Decisions Having Positive and Negative Features , 2008, J. Artif. Intell. Res..

[11]  Antonis C. Kakas,et al.  Argumentation based decision making for autonomous agents , 2003, AAMAS '03.

[12]  Henri Prade,et al.  Using arguments for making and explaining decisions , 2009, Artif. Intell..

[13]  Pietro Baroni,et al.  On principle-based evaluation of extension-based argumentation semantics , 2007, Artif. Intell..

[14]  M. Mizumoto.  Pictorial representations of fuzzy connectives, part I: cases of t-norms, t-conorms and averaging operators , 1989 .

[15]  Dov M. Gabbay,et al.  Equilibrium States in Numerical Argumentation Networks , 2014, Logica Universalis.

[16]  Trevor J. M. Bench-Capon.  Persuasion in Practical Argument Using Value-based Argumentation Frameworks , 2003, J. Log. Comput..