Award Abstract #0133689
PECASE: Computational Social Choice Theory: Strategic Agents and Iterative Mechanisms

NSF Org:	IIS Division of Information & Intelligent Systems
Initial Amendment Date:	February 28, 2002
Latest Amendment Date:	March 22, 2007
Award Number:	0133689
Award Instrument:	Continuing grant
Program Manager:	William Bainbridge IIS Division of Information & Intelligent Systems CSE Directorate for Computer & Information Science & Engineering
Start Date:	March 1, 2002
Expires:	February 29, 2008 (Estimated)
Awarded Amount to Date:	$398974
Investigator(s):	Amy Greenwald amy@cs.brown.edu (Principal Investigator)
Sponsor:	Brown University BOX 1929 Providence, RI 02912 401/863-2777
NSF Program(s):	DIGITAL SOCIETY&TECHNOLOGIES
Field Application(s):	0104000 Information Systems
Program Reference Code(s):	smet, OTHR, HPCC, 9251, 9216, 9178, 9139, 1187, 1076, 1045, 0000
Program Element Code(s):	6850

ABSTRACT



Proposal Title: PECASE: Computational social choice theory: strategic agents and iterative mechanisms

Institution: Brown University

This proposal aims to advance the state of the art of automated strategic reasoning through research and teaching at the intersection of computer science and economics. In research, the development of a computational theory of social choice is proposed, emphasizing the interplay of artificially intelligent agent strategies and computational mechanisms that implement collective decisions. Such a theory will facilitate the translation of collective decision-making by human societies into digital form. In education, the design of courses and degree programs across computer science and economics is proposed, as is encouraging women to participate in such programs and to explore careers that build on the resulting cross-disciplinary skill sets.

This project was originally funded as a CAREER award, and was converted to a Presidential Early Career Award for Engineers and Scientists (PECASE) award in May 2004.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

Amy Greenwald and Justin Boyan. "Bidding Algorithms for Simultaneous Auctions: A Case Study," Autonomous Agents and Multiagent Systems, v.10, 2005, p. 67.

J. Morris, P. Maes, and A. Greenwald. "Learning Curve: A Simulation-based Approach to Dynamic Pricing," Electronic Commerce Research, v.3, 2003, p. 245.

Michael Wellman, Amy Greenwald, Peter Stone, and Peter Wurman. "The 2001 Trading Agent Competition," Electronic Markets, v.13, 2003, p. 4.

Peter Stone and Amy Greenwald. "The First International Trading Agent Competition," Electronic Commerce Research: Special Issue on Dynamic Pricing, v.5, 2005, p. 229.

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