Sarit Kraus: Teaching proficient human interaction to intelligent computer agents [ACM womENcourage 2020]
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Sarit Kraus: Teaching proficient human interaction to intelligent computer agents [ACM womENcourage 2020]

Jan 25, 2021
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Automated agents that interact proficiently with people can be useful in supporting or replacing people in complex tasks. The inclusion of people presents novel problems for the design of automated agents’ strategies. In this talk, Dr. Sarit Kraus will show how combining machine learning techniques for human modeling, human behavioral models, formal decision-making and game theory approaches enables agents to interact well with people. Sarit is a Professor of Computer Science at Bar-Ilan University. She obtained her PhD in Computer Science from Hebrew University in 1989. Her research is focused on intelligent agents and multi-agent systems (including people and robots) integrating machine-learning techniques with optimization and game theory methods. For her work she received many prestigious awards. She was awarded the IJCAI Computers and Thought Award, the ACM SIGART Agents Research Award, the ACM Athena Lecturer, the EMET Prize (known as Israel’s Nobel Prize) and was twice the winner of the IFAAMAS Influential Paper Award. She is an ACM, AAAI and ECCAI fellow and a recipient of the advanced ERC grant. The 7th ACM Celebration of Women in Computing, womENcourage 2020, took place virtually in Baku, Azerbaijan on 24-27 September 2020. Welcoming 200+ participants registered from about 40 countries and 5 continents, the 4-day event included the Conference segment on Day 1 and 2 with keynote speeches and panel discussions, workshops and tutorials, as well as poster presentations from student researchers, and Expo segment on Day 3 and 4 with Career Fair, where supporting companies arranged promotion and hiring sessions, and Hackathon competition among participating teams.

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