ΑΙhub.org
 

Call for nominations: ACM SIGAI Autonomous Agents Research Award 2022


by
28 October 2021



share this:
AIhub | NeurIPS awards

Nominations are solicited for the 2022 ACM SIGAI Autonomous Agents Research Award. This 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 is an official ACM award, funded by an endowment created by ACM SIGAI from the proceeds of previous Autonomous Agents conferences. The recipient of the award will receive a monetary prize and a certificate, and will be invited to present a plenary talk at the AAMAS 2022 conference in Auckland, New Zealand.

Previous winners of the ACM SIGAI Autonomous Agents Research Award are: Vincent Conitzer (2021), Munindar Singh (2020), Carles Sierra (2019), Craig Boutilier (2018), David Parkes (2017), Peter Stone (2016), Catherine Pelachaud (2015), Michael Wellman (2014), Jeff Rosenschein (2013), Moshe Tennenholtz (2012), Joe Halpern (2011), Jonathan Gratch and Stacy Marsella (2010), Manuela Veloso (2009), Yoav Shoham (2008), Sarit Kraus (2007), Michael Wooldridge (2006), Milind Tambe (2005), Makoto Yokoo (2004), Nicholas R. Jennings (2003), Katia Sycara (2002), and Tuomas Sandholm (2001).

How to Nominate

Anyone can make a nomination. Nominations should be made by email to the chair of the award committee, Manuela Veloso, and should consist of a short (< 1 page) statement that emphasizes not only the research contributions that the individual has made that merit the award but also how the individual’s current work is an important influence on the field. Note: a candidate can only be considered for the award if they are explicitly nominated. If you believe that someone deserves the award, then nominate, don't assume that somebody else will.

Important Dates

15 November 2021 — Deadline for nominations
15 December 2021 — Announcement of winner
9-13 May 2022 — AAMAS-2022 conference in Auckland, New Zealand

For more information on the award, see the Autonomous Agents Research Award page.



tags:


ACM SIGAI Association for Computing Machinery Special Interest Group in Artificial Intelligence
ACM SIGAI Association for Computing Machinery Special Interest Group in Artificial Intelligence

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

monthly digest

AIhub monthly digest: October 2026 – neurosymbolic planning, time-series forecasting, and robots for the home

  30 Oct 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
AI pioneers

From teaching machines to teaching people: an interview with Michael Littman

  29 Oct 2026
AI Pioneer Michael Littman reflects on the evolution of reinforcement learning, the power of science communication, and how generative AI is changing the way we teach and learn.

From lab to life: Why translating AI advances to the real world is a major challenge

  28 Oct 2026
Systems that perform well in controlled lab settings often fall short when deployed in homes, in hospitals or on city streets.

Researchers get AI ‘drunk’ to expose new cyber security risks in chatbots

Fine-tuning large language models using drunken text makes them more likely to leak secrets and answer harmful questions.

AI is creating jobs as well as erasing them – but how rewarding are they?

  26 Oct 2026
One area of increased employment is in people “cleaning up” after LLMs, or quality controlling them.

How AI changes human decision-making

  23 Oct 2026
AI can identify patterns that people miss and bring new information into decision-making. However, this does not automatically lead to better decisions.

Competing in RoboCup@Home and winning the 2026 best paper award: an interview with Raphael Memmesheimer

  22 Oct 2026
Hear more about Raphael's research and his involvement in the RoboCup@Home league.

AI is distorting archaeology and flattening Indigenous Knowledge

While AI can help archaeologists, it can also spread pseudoscientific claims and false histories, stripping Indigenous Knowledge of context, consent and community control.


↑


AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence