- Tomer Libal
, Tereza Novotná:
Towards Transparent Legal Formalization. EXTRAAMAS@AAMAS 2021: 296-313 - Jean-Jacques Ohana, Steve Ohana, Eric Benhamou, David Saltiel, Beatrice Guez:
Explainable AI (XAI) Models Applied to the Multi-agent Environment of Financial Markets. EXTRAAMAS@AAMAS 2021: 189-207 - Egberdien van der Peijl, Amro Najjar, Yazan Mualla, Thiago Jorge Bourscheid, Yolanda Spinola-Elias, Daniel Karpati, Sana Nouzri:
Toward XAI & Human Synergies to Explain the History of Art: The Smart Photobooth Project. EXTRAAMAS@AAMAS 2021: 208-222 - Federico Sabbatini, Giovanni Ciatto, Andrea Omicini:
GridEx: An Algorithm for Knowledge Extraction from Black-Box Regressors. EXTRAAMAS@AAMAS 2021: 18-38 - Ruben S. Verhagen, Mark A. Neerincx, Myrthe L. Tielman:
A Two-Dimensional Explanation Framework to Classify AI as Incomprehensible, Interpretable, or Understandable. EXTRAAMAS@AAMAS 2021: 119-138 - Amber E. Zelvelder, Marcus Westberg, Kary Främling:
Assessing Explainability in Reinforcement Learning. EXTRAAMAS@AAMAS 2021: 223-240 - Davide Calvaresi, Amro Najjar, Michael Winikoff, Kary Främling:
Explainable and Transparent AI and Multi-Agent Systems - Third International Workshop, EXTRAAMAS 2021, Virtual Event, May 3-7, 2021, Revised Selected Papers. Lecture Notes in Computer Science 12688, Springer 2021, ISBN 978-3-030-82016-9 [contents] - 2020
- Klaus Weber, Lukas Tinnes, Tobias Huber, Alexander Heimerl, Marc-Leon Reinecker, Eva Pohlen, Elisabeth André:
Towards Demystifying Subliminal Persuasiveness: Using XAI-Techniques to Highlight Persuasive Markers of Public Speeches. EXTRAAMAS@AAMAS 2020: 113-128 - Francesco Alzetta, Paolo Giorgini, Amro Najjar, Michael Ignaz Schumacher, Davide Calvaresi:
In-Time Explainability in Multi-Agent Systems: Challenges, Opportunities, and Roadmap. EXTRAAMAS@AAMAS 2020: 39-53 - Giovanni Ciatto, Michael Ignaz Schumacher, Andrea Omicini, Davide Calvaresi:
Agent-Based Explanations in AI: Towards an Abstract Framework. EXTRAAMAS@AAMAS 2020: 3-20 - Kary Främling:
Decision Theory Meets Explainable AI. EXTRAAMAS@AAMAS 2020: 57-74 - Avleen Malhi, Samanta Knapic, Kary Främling:
Explainable Agents for Less Bias in Human-Agent Decision Making. EXTRAAMAS@AAMAS 2020: 129-146 - Francesca Mosca, Stefan Sarkadi, Jose M. Such, Peter McBurney:
Agent EXPRI: Licence to Explain. EXTRAAMAS@AAMAS 2020: 21-38 - Yazan Mualla, Timotheus Kampik, Igor Haman Tchappi, Amro Najjar, Stéphane Galland, Christophe Nicolle:
Explainable Agents as Static Web Pages: UAV Simulation Example. EXTRAAMAS@AAMAS 2020: 149-154 - Lindsay M. Sanneman, Julie A. Shah:
A Situation Awareness-Based Framework for Design and Evaluation of Explainable AI. EXTRAAMAS@AAMAS 2020: 94-110 - Maayan Shvo, Toryn Q. Klassen, Sheila A. McIlraith:
Towards the Role of Theory of Mind in Explanation. EXTRAAMAS@AAMAS 2020: 75-93 - Davide Calvaresi, Amro Najjar, Michael Winikoff, Kary Främling:
Explainable, Transparent Autonomous Agents and Multi-Agent Systems - Second International Workshop, EXTRAAMAS 2020, Auckland, New Zealand, May 9-13, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12175, Springer 2020, ISBN 978-3-030-51923-0 [contents] - 2019
- Tobias Ahlbrecht, Michael Winikoff:
Explaining Aggregate Behaviour in Cognitive Agent Simulations Using Explanation. EXTRAAMAS@AAMAS 2019: 129-146 - Sule Anjomshoae, Kary Främling, Amro Najjar:
Explanations of Black-Box Model Predictions by Contextual Importance and Utility. EXTRAAMAS@AAMAS 2019: 95-109 - Mathieu Bourgais, Patrick Taillandier, Laurent Vercouter:
BEN: An Agent Architecture for Explainable and Expressive Behavior in Social Simulation. EXTRAAMAS@AAMAS 2019: 147-163 - Davide Calvaresi, Yazan Mualla, Amro Najjar, Stéphane Galland, Michael Schumacher:
Explainable Multi-Agent Systems Through Blockchain Technology. EXTRAAMAS@AAMAS 2019: 41-58 - Sophie F. Jentzsch, Sviatlana Höhn, Nico Hochgeschwender:
Conversational Interfaces for Explainable AI: A Human-Centred Approach. EXTRAAMAS@AAMAS 2019: 77-92 - Timotheus Kampik, Juan Carlos Nieves, Helena Lindgren:
Explaining Sympathetic Actions of Rational Agents. EXTRAAMAS@AAMAS 2019: 59-76 - Manik Madhikermi, Avleen Kaur Malhi, Kary Främling:
Explainable Artificial Intelligence Based Heat Recycler Fault Detection in Air Handling Unit. EXTRAAMAS@AAMAS 2019: 110-125 - Isabel Sassoon, Nadin Kökciyan, Elizabeth Sklar, Simon Parsons:
Explainable Argumentation for Wellness Consultation. EXTRAAMAS@AAMAS 2019: 186-202 - Naziha Sendi, Nadia Abchiche-Mimouni, Farida Zehraoui:
Towards a Transparent Deep Ensemble Method Based on Multiagent Argumentation. EXTRAAMAS@AAMAS 2019: 3-21 - Gianluca Torta, Roberto Micalizio, Samuele Sormano:
Temporal Multiagent Plan Execution: Explaining What Happened. EXTRAAMAS@AAMAS 2019: 167-185 - Silvia Tulli, Filipa Correia, Samuel Mascarenhas, Samuel Gomes, Francisco S. Melo, Ana Paiva:
Effects of Agents' Transparency on Teamwork. EXTRAAMAS@AAMAS 2019: 22-37 - Marcus Westberg, Amber Zelvelder, Amro Najjar:
A Historical Perspective on Cognitive Science and Its Influence on XAI Research. EXTRAAMAS@AAMAS 2019: 205-219 - Davide Calvaresi, Amro Najjar, Michael Schumacher, Kary Främling:
Explainable, Transparent Autonomous Agents and Multi-Agent Systems - First International Workshop, EXTRAAMAS 2019, Montreal, QC, Canada, May 13-14, 2019, Revised Selected Papers. Lecture Notes in Computer Science 11763, Springer 2019, ISBN 978-3-030-30390-7 [contents]
