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AI³@AI*IA 2017: Bari, Italy
- Stefano Bistarelli, Massimiliano Giacomin, Andrea Pazienza:
Proceedings of the 1st Workshop on Advances In Argumentation In Artificial Intelligence co-located with XVI International Conference of the Italian Association for Artificial Intelligence, AI³@AI*IA 2017, Bari, Italy, November 16-17, 2017. CEUR Workshop Proceedings 2012, CEUR-WS.org 2017
Session 1: Abstract Argumentation
- Andrea Pazienza, Stefano Ferilli, Floriana Esposito:
Synthesis of Argumentation Graphs by Matrix Factorization. 1-6 - Stefano Bistarelli, Fabio Rossi, Francesco Santini:
A ConArg-based Library for Abstract Argumentation. 7-21 - Carlo Proietti:
Polarization and Bipolar Probabilistic Argumentation Frameworks. 22-27 - Gianvincenzo Alfano, Sergio Greco, Francesco Parisi:
Computing Stable and Preferred Extensions of Dynamic Bipolar Argumentation Frameworks. 28-42 - Bettina Fazzinga, Sergio Flesca, Filippo Furfaro:
Credulous Acceptability in Probabilistic Abstract Argumentation: Complexity Results. 43-57
Session 2: Structured Argumentation
- Jesse Heyninck, Pere Pardo, Christian Straßer:
Assumption-Based Approaches to Reasoning with Priorities. 58-72 - Pietro Baroni, Massimiliano Giacomin, Beishui Liao:
Dealing with Unknowability in Formal Argumentation. 73-78
Session 3: Dialogues, Real World Arguments and Applications
- Alice Toniolo, Marianthi Leon:
Towards Computational Dialogue Types for BIM Collaborative Design: An Initial Study. 79-84 - Tobias Krauthoff, Christian Meter, Martin Mauve:
Dialog-Based Online Argumentation: Findings from a Field Experiment. 85-99 - Alexander Schneider, Christian Meter:
Reusable Statements in Dialog-Based Argumentation Systems. 100-104 - Daniel Neugebauer:
Generating Defeasible Knowledge Bases from Real-World Argumentations using D-BAS. 105-110 - Andrea Pazienza, Stefano Ferilli, Floriana Esposito:
Constructing and Evaluating Bipolar Weighted Argumentation Frameworks for Online Debating Systems. 111-125 - Lucas Rizzo, Luca Longo:
Representing and Inferring Mental Workload via Defeasible Reasoning: A Comparison with the NASA Task Load Index and the Workload Profile. 126-140
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