Predicting Human Decision-Making

Preface.- Acknowledgments.- Introduction.- Utility Maximization Paradigm.- Predicting Human Decision-Making.- From Human Prediction to Intelligent Agents.- Which Model Should I Use?.- Concluding Remarks.- Bibliography.- Authors' Biographies.- Index .

Ariel Rosenfeld is a Koshland Postdoctoral Fellow at Weizmann Institute of Science, Israel. He obtained a B.Sc. in Computer Science and Economics, graduating magna cum laude from Tel Aviv University, and a Ph.D. in Computer Science from Bar-Ilan University. Rosenfelds research focus is Human-Agent Interaction and, specifically, the prediction of human decision-making. He has published over 20 papers on related topics at top venues such as AAAI, IJCAI, AAMAS, and ECAI conferences and leading journals. Rosenfeld has a rich lecturing and teaching background spanning over a decade and is currently acting as a lecturer at Bar-Ilan University.Sarit Kraus is a Professor of Computer Science at Bar-Ilan University, Israel, and an Adjunct Professor at the University of Maryland. She has focused her research on intelligent agents and multi-agent systems. In particular, she developed Diplomat, the first automated agent that negotiated proficiently with people. Kraus has received the EMET Prize forher expertise and contributions to artificial intelligence, the IJCAI ""Computers and Thought Award,"" the ACM SIGART Agents Research award, and the prestigious Advanced ERC Grant. She also received a special commendation from the city of Los Angeles, together with Professor Tambe, Professor Ordonez, and their students, for the creation of the ARMOR security scheduling system. Kraus has published over 300 papers in leading journals and major conferences.