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Author: Yevgeniy Vorobeychik

Affiliation: Sandia National Laboratories, United States

Keyword(s): Bidding agents, Keyword auctions, Game theory.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Bioinformatics ; Biomedical Engineering ; Computational Intelligence ; Economic Agent Models ; Enterprise Information Systems ; Evolutionary Computing ; Information Systems Analysis and Specification ; Methodologies and Technologies ; Operational Research ; Simulation ; Soft Computing ; Symbolic Systems ; Uncertainty in AI

Abstract: TAC/AA (ad auction game) provides a forum for research into strategic bidding in keyword auctions to try out their ideas in an independently simulated setting. We describe an agent that successfully competed in the TAC/AA game, showing in the process how to operationalize game theoretic analysis to develop a very simple, yet highly competent agent. Specifically, we use simulation-based game theory to approximate equilibria in a restricted bidding strategy space, assess their robustness in a normative sense, and argue for relative plausibility of equilibria based on an analogy to a common agent design methodology. Finally, we offer some evidence for the efficacy of equilibrium predictions based on TAC/AA tournament data.

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Paper citation in several formats:
Vorobeychik, Y. (2011). A GAME THEORETIC BIDDING AGENT FOR THE AD AUCTION GAME. In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-8425-41-6; ISSN 2184-433X, SciTePress, pages 35-44. DOI: 10.5220/0003140900350044

@conference{icaart11,
author={Yevgeniy Vorobeychik.},
title={A GAME THEORETIC BIDDING AGENT FOR THE AD AUCTION GAME},
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2011},
pages={35-44},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003140900350044},
isbn={978-989-8425-41-6},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - A GAME THEORETIC BIDDING AGENT FOR THE AD AUCTION GAME
SN - 978-989-8425-41-6
IS - 2184-433X
AU - Vorobeychik, Y.
PY - 2011
SP - 35
EP - 44
DO - 10.5220/0003140900350044
PB - SciTePress