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 :

Introducing ARFBench: A time series question-answering benchmark based on real incidents

  18 May 2026
To resolve system failures, engineers must troubleshoot outages quickly.

Does ‘federated unlearning’ in AI improve data privacy, or create a new cybersecurity risk?

  15 May 2026
As the capacity of AI systems increases apace, so do concerns about the privacy of user data.

Reflections from #AIES2025

and   14 May 2026
We reflect on AIES 2025, outlining a discussion session on LLMs for clinical usage and human rights.

Deep learning-powered biochip to detect genetic markers

System can detect extremely small amounts of microRNAs, genetic markers linked to diseases such as heart disease.

Half of AI health answers are wrong even though they sound convincing – new study

  12 May 2026
Imagine you have just been diagnosed with early-stage cancer and, before your next appointment, you type a question into an AI chatbot.

Gradient-based planning for world models at longer horizons

  11 May 2026
What were the problems that motivated this project and what was the approach to address them?

It’s tempting to offload your thinking to AI. Cognitive science shows why that’s a bad idea

  08 May 2026
Increased offloading to new tools has raised the fear that people will become overly reliant on AI.

Making AI systems more transparent and trustworthy: an interview with Ximing Wen

  07 May 2026
Find out more about Ximing's work, experience as a research intern, and what inspired her to study AI.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence