ΑΙhub.org
 

Catholijn Jonker wins the 2024 ACM/SIGAI Autonomous Agents Research Award


by
05 March 2024



share this:
ACM SIGAI logo

Congratulations to Catholijn Jonker on winning the 2024 ACM/SIGAI Autonomous Agents Research Award. This prestigious award is made for excellence in research in the area of autonomous agents. It is intended to recognize researchers in autonomous agents whose current work is an important influence on the field.

Professor Catholijn Jonker is full professor of Interactive Intelligence at the Faculty of Electrical Engineering, Mathematics, and Computer Science, Delft University of Technology. Professor Jonker is a leader in the field of human-machine interaction, in particular regarding modelling the cognitive processes and concepts involved in negotiation and teamwork. She has also contributed to other research domains such as integrating interactive intelligence for hybrid intelligent systems, and is very active in advancing research into value-sensitive and responsible AI.

In addition to her research, Professor Jonker initiated the Automated Negotiating Agents Competition at AAMAS and IJCAI. She is very much involved in promoting women in academic positions, and has chaired the Network of Female Professors. She is a role model for many young researchers and has received numerous awards. She has previously served as President of the International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).

Congratulations once again to Catholijn!



tags:


Lucy Smith is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Congratulations to the #ICML2026 award winners

  20 Jul 2026
Find out which articles have won the outstanding paper, outstanding position paper, and the test-of-time awards.

Interactive world simulator for robot policy training and evaluation

  17 Jul 2026
Yixuan Wang discusses his faithful world simulator that allows robots to learn how to push, pick up, and grasp objects.

#ICML2026 social media round-up

  17 Jul 2026
We take a look at what the participants got up to in Seoul.

François Pachet on music generation with AI

  16 Jul 2026
“The day I hear a song of the quality of the Beatles, I will say: ‘Okay, we are done’. And I’ve never heard anything like that. Never.”

AI for science – talk recordings now available to watch

  15 Jul 2026
Watch the invited talks from the day on YouTube.

AAAI presidential panel – factuality and trustworthiness

  14 Jul 2026
Watch the latest panel discussion in the series based on the Future of AI research report from AAAI.

The secret to human ‘brilliance’ that AI just can’t match

  13 Jul 2026
New research reveals how people learn social conventions with minimal data – and why that sets us apart from LLMs.

Pre-training isn’t bitter enough

  10 Jul 2026
Given an unlabeled data stream, and a small set of verifiable downstream examples, can we use those examples during continued pre-training?



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence