Program

Wednesday, 18 July, 8:30am-5:30pm

  • Ariel Rubinstein (Tel Aviv University)--Colonel Blotto’s top secret files: multi-dimensional iterative reasoning in action
  • Daniel Cavagnaro (California State University Fullerton)--Optimal decision stimuli for risky choice experiments: an adaptive approach
  • Jonathan Leland (U.S. National Science Foundation)--Similarity, uncertainty, time and strategic interactions--Tversky (1969) revisited
  • Daniel Read (University of Warwick)--Attribute-based approaches to intertemporal choice:  New results and new models
  • John Hey (University of York)--Non-multiple prior models of decision making under ambiguity: experimental evidence
  • Poster session I

    Thursday, 19 July, 8:30am-5:30pm

  • Graham Loomes (University of Warwick)--Modelling noise and imprecision in individual decisions
  • Michel Regenwetter (University of Illinois at Urbana-Champaign)--Quantitative testing of decision theories
  • Jeffrey Stevens (University of Nebraska-Lincoln and Max Planck Institute for Human Development)--Testing theories of intertemporal choice
  • Konstantinos Katsikopoulos (Max Planck Institute for Human Development)--Modeling violations of expected utility theory
  • Joerg Rieskamp (University of Basel)--How to test adaptive toolbox models of human cognition
  • Poster session II

    Friday, 20 July, 8:30am-12:30pm

  • Andreas Gloeckner (Max Planck Institute for Collective Goods)--Empirical investigations of process models for risky choice
  • E.J. Wagenmakers (University of Amsterdam)--Comparison of reinforcement learning models using parameter space partitioning