Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Experimental results on the centipede game in normal form: an investigation on learning
Journal of Mathematical Psychology - Special issue on experimental economics
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Prisoner's Dilemma
Co-evolutionary Auction Mechanism Design: A Preliminary Report
AAMAS '02 Revised Papers from the Workshop on Agent Mediated Electronic Commerce on Agent-Mediated Electronic Commerce IV, Designing Mechanisms and Systems
Emergent geometric organization and informative dimensions in coevolutionary algorithms
Emergent geometric organization and informative dimensions in coevolutionary algorithms
Better with Byzantine: Manipulation-Optimal Mechanisms
SAGT '09 Proceedings of the 2nd International Symposium on Algorithmic Game Theory
Evolutionary mechanism design: a review
Autonomous Agents and Multi-Agent Systems
Symbiosis, complexification and simplicity under GP
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Human-inspired computational fairness
Autonomous Agents and Multi-Agent Systems
Linear Genetic Programming
| Hi-index | 0.00 |
We present a novel form of automated game theoretic mechanism design in which mechanisms and players co-evolve. We also model the memetic propagation of strategies through a population of players, and argue that this process represents a more accurate depiction of human behavior than conventional economic models. The resulting model is evaluated by evolving mechanisms for the ultimatum game, and replicates the results of empirical studies of human economic behaviors, as well as demonstrating the ability to evaluate competing hypothesizes for the creation of economic incentives.