Workshop on Information Aggregation in Group and Individual Decision Making
Abstract
Information aggregation precedes virtually all decision making by individuals, groups, or computer algorithms. Despite the formal similarities across individual, group, and computational decision making, researchers in the three areas rarely communicate with each other. Part of the reason for the relative lack of contact between the individual-information-aggregation, group-decision-making, and optimization areas is that traditionally research in these domains has been conducted according to strict disciplinarily lines. The purpose of this workshop was to foster cross-area collaboration, as well as an exchange of ideas, models, and methods. It accomplished these goals by bringing together eminent scientists whose research is focused on information aggregation in group and individual decision-making, or in associated topics in operations research, distributed detection, statistics, and formal decision science, so that the various areas of inquiry benefited from their similarities and learned from their differences. This workshop, built around both empirical and theoretical contributions, contributed toward de-compartmentalizing the research in the important areas of individual, group, and optimal decision-making.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 01, 2003
- Accession Number
- ADA423004
Entities
People
- Thomas S. Wallsten
Organizations
- University of Maryland