Automated mechanism design with co-evolutionary hierarchical genetic programming techniques
Created by W.Langdon from
gp-bibliography.bib Revision:1.8187
- @InProceedings{Doucette:2012:GECCO,
-
author = "John A. Doucette and Darren Abramson",
-
title = "Automated mechanism design with co-evolutionary
hierarchical genetic programming techniques",
-
booktitle = "GECCO '12: Proceedings of the fourteenth international
conference on Genetic and evolutionary computation
conference",
-
year = "2012",
-
editor = "Terry Soule and Anne Auger and Jason Moore and
David Pelta and Christine Solnon and Mike Preuss and
Alan Dorin and Yew-Soon Ong and Christian Blum and
Dario Landa Silva and Frank Neumann and Tina Yu and
Aniko Ekart and Will Browne and Tim Kovacs and
Man-Leung Wong and Clara Pizzuti and Jon Rowe and Tobias Friedrich and
Giovanni Squillero and Nicolas Bredeche and
Stephen L. Smith and Alison Motsinger-Reif and Jose Lozano and
Martin Pelikan and Silja Meyer-Nienberg and
Christian Igel and Greg Hornby and Rene Doursat and
Steve Gustafson and Gustavo Olague and Shin Yoo and
John Clark and Gabriela Ochoa and Gisele Pappa and
Fernando Lobo and Daniel Tauritz and Jurgen Branke and
Kalyanmoy Deb",
-
isbn13 = "978-1-4503-1177-9",
-
pages = "935--942",
-
keywords = "genetic algorithms, genetic programming, integrative
genetic and evolutionary computation",
-
month = "7-11 " # jul,
-
organisation = "SIGEVO",
-
address = "Philadelphia, Pennsylvania, USA",
-
DOI = "doi:10.1145/2330163.2330293",
-
publisher = "ACM",
-
publisher_address = "New York, NY, USA",
-
abstract = "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.",
-
notes = "Also known as \cite{2330293} GECCO-2012 A joint
meeting of the twenty first international conference on
genetic algorithms (ICGA-2012) and the seventeenth
annual genetic programming conference (GP-2012)",
- }
Genetic Programming entries for
John A Doucette
Darren Abramson
Citations