Value-Driven Procurement in the TAC Supply Chain Game
C Kiekintveld, MP Wellman, S Singh, and V Soni
SIGEcom Exchanges4(3), 2004.
Copyright (c) 2005, ACM. This is the author's version of the work.
It is posted here by permission of ACM for personal use, not for
redistribution. The definitive version can be found here.
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Abstract
The TAC supply-chain game presents automated trading agents with challenging decision problems,
including procurement of supplies across multiple periods using multiattribute negotiation.
The procurement process involves substantial uncertainty and competition among multiple agents.
Our agent, Deep Maize, generates requests for components based on deviations from a reference
inventory trajectory defined by estimated market conditions. It then selects among supplier offers
by optimizing a value function over potential inventory profiles. This approach offered strategic
flexibility and achieved competitive performance in the TAC-03 tournament.
