AI^3 2023
7th Workshop on Advances in Argumentation in Artificial Intelligence

Table of Contents

• Preface
  Summary: There were 16 papers submitted for peer-review to this workshop. Out of these, 15 papers were accepted for this volume, 9 as regular papers and 6 as short papers.

Invited Talks

• Computational Argumentation in the Time of Data-Centric AI
  Francesca Toni

Regular Papers

• Positiveness and Skepticism in Abstract Argumentation: A First Approach
  Pietro Baroni, Federico Cerutti, Massimiliano Giacomin
• On Merging Incompleteness and Bipolarity in Abstract Argumentation
  Bettina Fazinga, Sergio Flesca, Filippo Furfaro
• On the Verification and Existence Problems in Epistemic Argumentation Framework
  Gianvincenzo Alfano, Sergio Greco, Domenico Mandaglio, Francesco Parisi, Irina Trubitsyna
• On the Role of Local Arguments in the (Timed) Concurrent Language for Argumentation
  Stefano Bistarelli, Maria Chiara Meo, Carlo Taticchi
• Constrained Derivation in Assumption-Based Argumentation
  Giovanni Buraglio, Wolfgang Dvorak, Anna Rapberger, Stefan Woltran
• Games, Queries, and Argumentation Frameworks: Towards a Family Reunion
  Bertram Ludäscher, Shawn Bowers, Yilin Xia
• Extraction of Defeasible Proofs as Explanations
  Luca Pasetto, Matteo Cristani, Guido Governatori, Francesco Olivieri, Edoardo Zorzi
• A Neuro-symbolic Approach to Argument Comparison in Structured Argumentation
  Damián Ariel Furman, Stephanie Anneris Malvicini, Maria Vanina Martinez, Paulo Shakarian, Gerardo Ignacio Simari, Yamil Osvaldo Soto
• A summary of Community Detection from Coalitions through Argument Similarity
  Paola D. Budán, Melisa G.Escauela González, Maximiliano C.D. Budán, María Vanina Martínez, Gerardo Ricardo Simari

Short Papers

• Towards Novel Inference Relations based on Logical Argumentation
  Said Jabbour, Yue Ma, Badran Raddaoui
• ADF-BDD.DEV: Insights to undecided Statements in Abstract Dialectical Frameworks
  Stefan Ellmauthaler, Lukas Gerlach
• On the Instantiation of Argument-Incomplete Argumentation Frameworks
  Antonio Yuste-Ginel, Carlo Proietti
• Efficient and Effective Approximate Query Answering in Probabilistic DeLP (Thesis Summary)
  Mario A. Leiva
• Demonstrating PyArg 2.0
  Daphne Odekerken, AnneMarie Borg, Matti Berthold
• Explaining Gradual Argumentation Semantics in a Conditional Multi-preferential Logic with Typicality
  Mario Alviano, Laura Giordano, Daniele Theseider Dupré