Computational models of collective behavior.

By Robert L. Goldstone, Marco A. Janssen. Trends in Cognitive Sciences, 2005

392 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Web-based experiments for the study of collective social dynamics in cultural markets (2009, neutral): “Agent-based models are useful tools for studying collective behavior, but they are often limited by a lack of empirical foundations at either the individual or collective level (Epstein & Axtell, 1996; Goldstone & Janssen, 2005; Macy & Willer, 2002).”
Self-organized adaptation of a simple neural circuit enables complex robot behaviour (2010, background): “Percolation arises in atomic and molecular solids in physics as well as in social, biological and artificial network”
Modeling crowd evacuation of a building based on seven methodological approaches (2009, background): “Although ABM is beneficial from the advancement of cognitive science [53], it is not a simple task to model human agents’ behavior.”
Managing Uncertainty During Collaborative Problem Solving in Elementary School Teams: The Role of Peer Influence in Robotics Engineering Activity (2014, background): “As Goldstone and Janssen (2005) wrote, “Our thoughts both depend upon and determine the social structures that contain us as elements within those structures” (p.”