Vincent J. Koeman, Koen Hindriks, Jonathan Gratch, Catholijn M. Jonker (2021), How to Recognize and Explain Bidding Strategies in Negotiation Support Systems, Reyhan Aydoğan, Takayuki Ito, Ahmed Moustafa, Takanobu Otsuka, Minjie Zhang (Eds.), In Recent Advances in Agent-based Negotiation - Formal Models and Human Aspects p.35-53, Springer.

Batya Friedman, Maaike Harbers, David G. Hendry, Jeroen van den Hoven, Catholijn Jonker, Nick Logler (2021), Introduction to the special issue: value sensitive design: charting the next decade, Ethics and Information Technology Volume 23 p.1-3.

S. Mehrotra (2021), Modelling Trust in Human-AI Interaction: Doctoral Consortium, 20th International Conference on Autonomous Agentsand Multiagent Systems p.1826-1828.

S. Mehrotra, C.M. Jonker, M.L. Tielman (2021), More Similar Values, More Trust? - the Effect of Value Similarity on Trust in Human-Agent Interaction, In AIES '21: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society p.777-783, ACM DL.

Reyhan Aydogan, Özgür Kafali, Furkan Arslan, Catholijn M. Jonker, Munindar P. Singh (2021), Nova: Value-based Negotiation of Norms, In ACM Transactions on Intelligent Systems and Technology Volume 12.

Ilir Kola, Myrthe L. Tielman, Catholijn M. Jonker, M. Birna van Riemsdijk (2021), Predicting the Priority of Social Situations for Personal Assistant Agents, Takahiro Uchiya, Quan Bai, Iván Marsá Maestre (Eds.), In PRIMA 2020 p.231-247, Springer.

Vahid Yazdanpanah, Enrico H. Gerding, Sebastian Stein, Mehdi Dastani, Catholijn M. Jonker, Timothy J. Norman (2021), Responsibility research for trustworthy autonomous systems, In 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021 p.57-62, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).

R.A. Mercuur (2021), Simulating Human Routines: Integrating Social Practice Theory in Agent-Based Models, PhD Thesis Delft University of Technology.

Youri Coppens, Denis Steckelmacher, Catholijn M. Jonker, Ann Nowé (2021), Synthesising Reinforcement Learning Policies Through Set-Valued Inductive Rule Learning, Fredrik Heintz, Michela Milano, Barry O’Sullivan (Eds.), In Trustworthy AI – Integrating Learning, Optimization and Reasoning - First International Workshop, TAILOR 2020, Revised Selected Papers p.163-179, Springer.

T.M. Moerland (2021), The Intersection of Planning and Learning, PhD Thesis Delft University of Technology.