Ya'akov (Kobi) Gal is a faculty member of the Department of Information Systems Engineering at the Ben-Gurion University of the Negev, and an associate at the School of Engineering and Applied Sciences at Harvard University. His work investigates representations and algorithms for making decisions in heterogeneous groups comprising both people and computational agents. He has published over 40 papers in highly refereed venues on topics ranging from artificial intelligence to the learning and cognitive sciences. He is a recipient of the Wolf foundation's 2014 Krill prize for young Israeli scientists, a Marie Curie International fellowship for 2010, a two-time recipient of Harvard University’s Derek Bok award for excellence in teaching, as well as the School of Engineering and Applied Science's outstanding teacher award.
Open-Mixed Networks are group settings in which computer agents interact repeatedly with other computer agents as well as people. The prevalence of such settings bring forth novel challenges to AI research requiring the synthesis of computer science techniques with behavioural economics. I will present three recent studies showcasing these challenges and some proposed solutions. The first study includes new algorithms for performing plan recognition in flexible educational software in which students' logs of behaviour include switching between activities, extraneous actions, and mistakes. The second study will present techniques for automated advice provision in settings involving computers and their human users such as route selection systems and office assistants. Lastly, I will present an agent design for making information exchange decisions in collaborative group activities involving both people and computer agents. I will discuss the significance of these studies to research in repeated decision making and present some open problems.