MP Wellman, J Estelle, S Singh, Y Vorobeychik,
C Kiekintveld, V Soni
Computational Intelligence21(1):1–26, 2005.
Copyright (c) 2005, Blackwell Publishing. This is the author's
version of the work. It is posted here by permission of Blackwell
Publishing for personal use, not for redistribution. The definitive
version can be found here.
Download
Abstract
The TAC 2003 supply-chain game presented automated trading agents with
a challenging strategic problem. Embedded within a high-dimensional stochastic
environment was a pivotal strategic decision about initial procurement of components.
Early evidence suggested that the entrant field was headed toward a self destructive,
mutually unprofitable equilibrium. Our agent, Deep Maize, introduced
a preemptive strategy designed to neutralize aggressive procurement, perturbing
the field to a more profitable equilibrium. It worked. Not only did preemption
improve Deep Maize's profitability, it improved profitability for the whole
field. Whereas it is perhaps counterintuitive that action designed to prevent others
from achieving their goals actually helps them, strategic analysis employing
an empirical game-theoretic methodology verifies and provides insight about this outcome.
Earlier versions
Strategic interactions in the TAC 2003 supply chain tournament.
(J Estelle, Y Vorobeychik, MP Wellman, S Singh, C Kiekintveld,
and V Soni). In Fourth International Conference on Computers
and Games, July 2004.
Strategic procurement in TAC/SCM: An empirical game-theoretic
analysis. (J Estelle, Y Vorobeychik, MP Wellman, S Singh,
C Kiekintveld, and V Soni). In AAMAS-04 Workshop on Trading
Agent Design and Analysis, July 2004.