Daniel S. Weld

Daniel S. Weld is Assistant Professor of Computer Science and Engineering at the University of Washington.

  • Theories of Comparative Analysis

    Daniel S. Weld

    Theories of Comparative Analysis provides a detailed examination of comparative analysis, the problem of predicting how a system will react to perturbations in its parameters, and why. It clearly formalizes the problem and presents two novel techniques - differential qualitative (DQ) analysis and exaggeration - that solve many comparative analysis problems, providing explanations suitable for use by design systems, automated diagnosis, intelligent tutoring systems, and explanation-based generalization.Weld first places comparative analysis within the context of qualitative physics and artificial intelligence. He then explains the theoretical basis for each technique and describes how they are implemented. He shows that they are essentially complementary: DQ analysis is sound, while exaggeration is a heuristic method: exaggeration, however, solves a wider variety of problems. Weld summarizes their similarities and differences and introduces a hybrid architecture that takes advantage of the strengths of each technique.

    Theories of Comparative Analysis is included in the Artificial Intelligence Series, edited by Michael Brady, Daniel Bobrow, and Randall Davis.

    • Hardcover $32.50


  • Handbook of Collective Intelligence

    Handbook of Collective Intelligence

    Thomas W. Malone and Michael S. Bernstein

    Experts describe the latest research in a rapidly growing multidisciplinary field, the study of groups of individuals acting collectively in ways that seem intelligent.

    Intelligence does not arise only in individual brains; it also arises in groups of individuals. This is collective intelligence: groups of individuals acting collectively in ways that seem intelligent. In recent years, a new kind of collective intelligence has emerged: interconnected groups of people and computers, collectively doing intelligent things. Today these groups are engaged in tasks that range from writing software to predicting the results of presidential elections. This volume reports on the latest research in the study of collective intelligence, laying out a shared set of research challenges from a variety of disciplinary and methodological perspectives. Taken together, these essays—by leading researchers from such fields as computer science, biology, economics, and psychology—lay the foundation for a new multidisciplinary field.

    Each essay describes the work on collective intelligence in a particular discipline—for example, economics and the study of markets; biology and research on emergent behavior in ant colonies; human-computer interaction and artificial intelligence; and cognitive psychology and the “wisdom of crowds” effect. Other areas in social science covered include social psychology, organizational theory, law, and communications.

    ContributorsEytan Adar, Ishani Aggarwal, Yochai Benkler, Michael S. Bernstein, Jeffrey P. Bigham, Jonathan Bragg, Deborah M. Gordon, Benjamin Mako Hill, Christopher H. Lin, Andrew W. Lo, Thomas W. Malone, Mausam, Brent Miller, Aaron Shaw, Mark Steyvers, Daniel S. Weld, Anita Williams Woolley

    • Hardcover $35.00