PROGIC 2019: Ninth Workshop on Combining Probability and Logic
July 7-10, 2019 at Frankfurt School Campus
The Ninth Workshop on Combining Probability and Logic (PROGIC 2019) continues the progic workshop series. The focus of this iteration of PROGIC is decision making, with an emphasis on advances in descriptive, normative, and prescriptive models of decision making.
Dates and Deadlines
Submission deadline: March 20, 2019
Notification of acceptance: April 10, 2019
Conference: July 8-10, 2019
Scholars who combine probability and logic to decision making are invited to submit an extended abstract (~1000 words) for presentation at the workshop. Topics include but are not restricted to
- Argument strength
- Belief revision
- Causal modeling
- Conditionals and decision making
- Decision making under severe uncertainty
- Descriptive models of decision making
- Game probability
- Group decision making
- Elicitation and scoring
- Formal epistemology and decision making
- Foundations - philosophical & mathematical
- Lexicographic probabilities and decision making
- Machine learning & decision making
- Sequential decision making
All questions about submissions should be emailed to Gregory Wheeler, (email@example.com)
Sebastian Ebert is a Professor of Microeconomics at Frankfurt School. Prior to that he was an Associate Professor of Finance at Tilburg University, with which he continues to hold an affiliation. His research focuses on the psychology behind financial and other risky decisions, thereby contributing to the growing fields of behavioral economics, finance, and insurance. Methodologically, Ebert relies on analytical modeling as well as on experiments. Much of his work is interdisciplinary and merges insights from economics, statistics, mathematics, and psychology. He has won several prizes for his research and published in leading economics and management journals, including the American Economic Review and Management Science.
Johanna Thoma is Assistant Professor of Philosophy at the Department of Philosophy, Logic and Scientific Method at the London School of Economics. She works on practical rationality, decision theory, economic methodology, and ethics and public policy. She received her PhD from the University of Toronto in 2017, where she won the Governor General’s Gold Medal for her dissertation. Professor Thoma’s work explores behavioral interpretations of preference that warrant treating expected utility theory as a normative account of instrumental rationality, which she has applied recently to bargaining and social contract theory, temptation and self-control, among other topics. Her work has appeared in Erkenntnis, Ethics, Philosophical Studies, and Philosophy of Science.
Peter P. Wakker
Peter Wakker is professor of decisions under uncertainty at the Econometric Institute of Erasmus School of Economics (ESE). He works in behavioral economics and on risk and ambiguity.
Wakker has published in leading journals in economics, business, medicine, psychology, statistics, and mathematics. He was nominated the best-publishing Dutch economist in the years 1994, 1998, 2003, and 2007, and was ranked 90th in the world in the ISI's most cited scientists in economics and business in 2003. He received a Medical Decision Making Career Achievement Award (2007), the Frank P. Ramsey Medal (2013; highest award of INFORMS Decision Analysis Society), and an Honorary doctorate in economics (University of St. Gallen 2016).
Michael R. Waldmann
Michael Waldmann is Professor of Psychology at the University of Göttingen. He received the early career research award from the German Society for Psychology, is Fellow of the Association of Psychological Science, and currently is Chair of the Scientific Advisory Board of the Max Planck Institute for Human Development in Berlin. His research focuses on higher-level cognitive processes including learning, reasoning, categorization, and judgment and decision making. Professor Waldmann has made fundamental contributions to our understanding of the cognitive processes underlying the acquisition of causal and moral knowledge, including the neural basis of causal and moral reasoning.