Sarit Kraus - COLLOQUIUM LECTURE
Tuesday, 30.4.2019, 14:30
Automated agents that interact proficiently with people can be useful in supporting, training or replacing people in complex tasks. The inclusion of people presents novel problems for the design of automated agents’ strategies. People do not necessarily adhere to the optimal, monolithic strategies that can be derived analytically. Their behavior is affected by a multitude of social and psychological factors. In this talk I will show how combining machine learning techniques for human modelling, human behavioral models, formal decision-making and game theory approaches enables agents to interact well with people. Applications include intelligent agents that help drivers reduce energy consumption, agents that support rehabilitation, employer-employee negotiation and agents that support a human operator in managing a team of low-cost mobile robots in search and rescue tasks.
Sarit Kraus (Ph.D. Computer Science, Hebrew University, 1989) is a Professor of
Computer Science at Bar-Ilan University. Her research is focused on intelligent agents
and multi-agent systems (including people and robots).
Kraus was awarded the IJCAI Computers and Thought Award, ACM SIGART Agents Research
award, the EMET prize and was twice the winner of the IFAAMAS influential paper award.
She is AAAI, ECCAI and ACM fellow and a recipient of the advanced ERC grant.