D-TEA 2023
Participate
D-TEA (Decision: Theory, Experiments, and Applications) 2023
Language and Representation
Date: July 10-12 2023
Location: Institute Henri Poincaré (IHP), 11 Rue Pierre et Marie Curie, 75005, Paris
D‐TEA 2023: Program
Monday, July 10
Morning Session (Chair: Mohammed ABDELLAOUI)
08:45‐09:00 Welcome
09:00‐09:30 Illia PASICHNICHENKO: Revealing What Really Matters: A Theory of Feature Identification from Choice (w/ Christopher KOPS, Paola MANZINI, Marco MARIOTTI)
09:30‐10:00 Fernando PAYRÓ: An Axiomatic Approach to the Law of Small Numbers (w/ Jawwad NOOR)
10:00‐10:30 Philipp PEITLER: Putting Context into Preference Aggregation (w/ Karl SCHLAG)
10:30‐11:00 Coffee Break
11:00‐11:30 Angelo PETRALIA: From Bounded Rationality to Limited Consideration: Representation and Behavioral Analysis (w/ Davide CARPENTIERE)
11:30‐12:00 Evan PIERMONT: Vague Preferences and Contracts
12:00‐12:30 John QUIGGIN: Seven Types of Ambiguity
12:30‐14:00 Lunch Break
Afternoon Session (Chair: Brian HILL)
14:00‐14:30 Evgenii SAFONOV: Slow and Easy: A Theory of Browsing
14:30‐15:00 Haruki KONO: Axiomatization of Random Utility Model with Unobservable Alternatives (w/ Kota SAITO, Alec SANDRONI)
15:00‐15:30 Andrei SAVOCHKIN: Dynamic Consistency and Rectangularity for the Smooth Ambiguity Model (W/ Alexander SHKLYAEV, Alexey GALATENKO)
15:30‐16:00 Coffee Break
16:00‐16:30 Uzi SEGAL: Allocation Mechanisms with Mixture‐Averse Preferences (w/ David DILLENBERGER)
16:30‐17:00 Lorenzo STANCA: Recursive Preferences and Ambiguity Attitudes (w/ Massimo MARINACCI, Giulio PRINCIPI)
17:00‐17:30 Ferdinand VIEIDER: Noisy Coding of Time and Discounting for Money
Tuesday, July 11
Morning Session (Chair: Rida LARAKI)
09:00‐09:30 Marie‐Louise VIERØ: Lost in Objective Translation: Awareness of Unawareness when Unknowns are Not Simply Unknowns
09:30‐10:00 Keyu WU: Context‐Dependent Perceptions and Decision Making 10:00‐10:30 Mu ZHANG: Multidimensional Choices under Uncertainty (w/ Shaowei Ke)
10:30‐11:00 Coffee Break
11:00‐11:30 Sandro AMBUEHL: Competing Causal Interpretations: A Choice Experiment (w/ Heidi THYSEN)
11:30‐12:30 INVITED TALK: Salvador MASCARENHAS: Question‐Answer Dynamics in Reasoning 12:30‐14:00 Lunch Break
Afternoon Session (Chair: Stefania MINARDI)
14:00‐14:30 Jose APESTEGUIA: A Measure of Behavioral Heterogeneity (w/ Miguel BALLESTER) 14:30‐15:00 Paul CHEUNG: Decision Making with Recommendation (w/ Yusufcan MASATLIOGLU)
15:00‐15:30 Soo Hong CHEW: Experimental Evidence of Source Preference: Familiarity and Home Bias (w/ King King LI, Jacob SAGI)
15:30‐16:00 Coffee Break
16:00‐16:30 Ernst FEHR: On the Psychological Foundations of Ambiguity Aversion (w/ Keyu WU, Sean HOFLAND, Martin SCHONGER)
16:30‐17:00 Paul FELDMAN: A Certainty Effect for Preference Reversals under Risk: Experiment and Theory (w/ Paul FERRARO)
17:00‐17:30 Simon GRANT: Balanced Set Utility ‐ EUU Theory with Set Outcomes and Betweenness (w/ Berend ROORDA, Jingni YANG)
Wednesday, July 12
Morning Session (Chair: Jean‐Marc TALLON)
09:00‐09:30 Ani GUERDJIKOVA: Bounded Awareness: Syntactics, Semantics and Surprises (w/ John QUIGGIN)
09:30‐10:00 Huiyi GUO: Preferences for the Resolution of Risk and Ambiguity (w/ Alexander BROWN, Hyundam JE)
10:00‐10:30 Brian HILL: Confidence, Consensus and Aggregation
10:30‐11:00 Coffee Break
11:00‐11:30 Dorian JULLIEN: Description‐Dependent Choices (w/ Dino BORIE)
11:30‐12:30 INVITED TALK: Tali REGEV: Languages and Future‐Oriented Economic Behavior 12:30‐14:00 Lunch Break
Afternoon Session (Chair: Fan WANG)
14:00‐14:30 Edi KARNI: Ambiguity Aversion, Risk Aversion, and the Weight of Evidence
14:30‐15:00 Christopher KOPS: Choquet Expected Equilibrium (w/ Hans PETERS, Dries VERMEULEN)
15:00‐15:30 Adam DOMINIAK: Inertial Updating (w/ Matthew KOVACH, Gerelt TSERENJIGMID) 15:30‐16:00 Coffee Break
16:00‐16:30 Michael MANDLER: A Unified Explanation of Reference Dependence, Loss Aversion, and the Reflection Effect
16:30‐17:00 Daniel MARTIN: Modeling Machine Learning (w/ Andrew CAPLIN, Philip MARX)
17:00‐17:30 Pietro ORTOLEVA: Inference of Choice Correspondences (w/ Narayanaswamy BLAKRISHNAN, Efe OK)
Find an interview of Professor Itzhak Gilboa on non-Bayesian models and more on this Knowledge@HEC Breakthrough podcast, with its written summary, here.