The Structure of Complex Problems

Abstract

The design of collective problem solving experiments requires that experimenters be able to control for task difficulty and problem structure across a variety of potential experimental tasks. Controlling for these factors allows experimenters to isolate the effects of organizational and communication structure from the nature of the task, and allows for comparison between experimental results and real-world problem solving efforts. This report develops a model of problems that accounts for the major features of "complex problems" and shows that the model is capable of generating "hard" problems.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2008
Accession Number
ADA477494

Entities

People

  • Duncan J. Watts
  • John B. Lee

Organizations

  • Columbia University

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  • Energy and Power Technologies

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  • Regression Analysis.
  • Systems Analysis and Design