ΑΙhub.org
 

Edith Elkind wins the 2023 ACM/SIGAI Autonomous Agents Research Award

by
13 February 2023



share this:
ACM SIGAI logo

Congratulations to Edith Elkind on winning the 2023 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.

The award selection committee recognised Edith for “her significant research contributions in computational social choice and algorithms for cooperative games, and extraordinary service to the community”. Her work provides fundamental understanding of economic paradigms in multiagent systems, with a particular focus on computational social choice and game theory. She has made important contributions to the computational analysis of cooperative games, as well as to the studies of structured domains in elections, and hedonic games.

Edith is also recognised for her service to the community. Among many other roles, she has served both as a program chair and a general chair for AAMAS (Autonomous Agents and Multiagent Systems), and as a program chair for IJCAI (International Joint Conference on Artificial Intelligence), ACM EC (ACM Conference on Economics and Computation), WINE (International Conference on Web and Internet Economics), and COMSOC (International workshop on Computational Social Choice).

One of Edith’s research topics concerns the allocation of fair shares of land. You can find out more in this blog post which describes work which won Edith and her colleagues an IJCAI 2021 distinguished paper award.

Congratulations once again to Edith!



tags:


Lucy Smith , Managing Editor for AIhub.
Lucy Smith , Managing Editor for AIhub.




            AIhub is supported by:


Related posts :



AIhub coffee corner: Open vs closed science

The AIhub coffee corner captures the musings of AI experts over a short conversation.
26 April 2024, by

Are emergent abilities of large language models a mirage? – Interview with Brando Miranda

We hear about work that won a NeurIPS 2023 outstanding paper award.
25 April 2024, by

We built an AI tool to help set priorities for conservation in Madagascar: what we found

Daniele Silvestro has developed a tool that can help identify conservation and restoration priorities.
24 April 2024, by

Interview with Mike Lee: Communicating AI decision-making through demonstrations

We hear from AAAI/SIGAI Doctoral Consortium participant Mike Lee about his research on explainable AI.
23 April 2024, by

Machine learning viability modelling of vertical-axis wind turbines

Researchers have used a genetic learning algorithm to identify optimal pitch profiles for the turbine blades.
22 April 2024, by

The Machine Ethics podcast: What is AI? Volume 3

This is a bonus episode looking back over answers to our question: What is AI?
19 April 2024, by




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association