Evolution of Cooperative Problem Solving in an Artificial Economy
Explore the flaws in rational actor models and their real-world implications in artificial economies through cooperative problem-solving evolution.
Game Theory and Machine Learning for Addressing Societal Challenges
Explore game theory and machine learning applications for societal challenges. Learn from Fei Fang's expertise in AI, multi-agent systems, and their impact on security, sustainability, and mobility.
Achieving Cooperative Outcomes in Mixed Settings
Explore strategies for achieving cooperative outcomes in diverse environments. Learn from Nisarg Shah's expertise in fairness, efficiency, and algorithmic decision-making affecting humans.
Distributed Computing Meets Game Theory
Explore the intersection of distributed computing and game theory, examining their synergies and applications in multi-agent systems and decision-making processes.
Persuasion and Welfare in Game Theory
Explore persuasion's impact on welfare through mathematical game theory in this insightful seminar by Laura Doval.
Level-Strategyproof Belief Aggregation and Application to Majority Judgment under Uncertainty
Explore level-strategyproof belief aggregation and its application to majority judgment under uncertainty in expert predictions and social choice theory.
Dominance Solvability in Random Games
Explore dominance solvability in random games through Leeat Yariv's insightful analysis in the One World Mathematical Game Theory Seminar.
Growth and Likelihood in Mathematical Game Theory
Explore mathematical game theory concepts of growth and likelihood with Larry Samuelson in this seminar presentation.
Decision Theory as a Test of Coherence
Explore decision theory's role in testing coherence with Itzhak Gilboa, delving into mathematical game theory concepts and their practical applications.
Envy-Driven Dynamics in Single-Peaked, Single-Crossing Cheap Talk Games
Explore envy-driven dynamics in single-peaked, single-crossing cheap talk games with Francoise Forges in this mathematical game theory seminar.
Bayesian Equilibrium: From Local to Global
Explore Bayesian equilibrium concepts from local to global perspectives, covering game theory, measurability, and graph theory applications.
Optimistic Gradient Descent Ascent in Bilinear Games
Explore optimistic gradient descent ascent in bilinear games with Jerome Renault's insightful analysis and mathematical approach.
Objects in the Rearview Mirror - Information Acquisition with Payoff Rivalries and Observation Lags
Explore information acquisition dynamics in game theory, focusing on payoff rivalries and observation lags in strategic decision-making.
Asymptotic Revenue Equivalence of Asymmetric Auctions
Explore asymptotic revenue equivalence in asymmetric auctions with Gadi Fibich's insightful analysis and mathematical game theory insights.
Sequential Equilibria in Infinite Extensive Form Games
Explore sequential equilibria in infinite extensive form games, focusing on multistage games with continuous signal functions and strategic measures reaching all observable events.
Stochastic Games with Limited Memory Space
Explore stochastic games with limited memory space in this insightful seminar by Abraham Neyman, delving into advanced game theory concepts.
Agreement and Disagreement in a Non-Classical World
Explore agreement and disagreement in non-classical contexts through Adam Brandenburger's insightful seminar on mathematical game theory.
Additive Context-Dependent Preferences
Explore additive context-dependent preferences with Stephan Jagau, covering motivation, approach, and related literature in mathematical game theory.
Utility Maximization Under Endogenous Pricing
Explore utility maximization strategies with endogenous pricing in mathematical finance. Gain insights from Thai Nguyen's research presented at the Eastern Conference.
Optimal Execution for N Traders with Transient Price Impact
Explore optimal execution strategies for multiple traders facing transient price impact in financial markets. Gain insights into mathematical models and their applications in trading.
Neural Operators Can Play Dynamic Stackelberg Games
Explore neural operators' application in dynamic Stackelberg games, focusing on their potential in mathematical finance and game theory.