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Social-Behavioral Modeling for Complex Systems
book

Social-Behavioral Modeling for Complex Systems

by Paul K. Davis, Angela O'Mahony, Jonathan Pfautz
April 2019
Intermediate to advanced content levelIntermediate to advanced
992 pages
31h 53m
English
Wiley
Content preview from Social-Behavioral Modeling for Complex Systems

10 Using Neuroimaging to Predict Behavior: An Overview with a Focus on the Moderating Role of Sociocultural Context

Steven H. Tompson1, 2, Emily B. Falk3, 4, 5, Danielle S. Bassett2, 6, 7, 8 and Jean M. Vettel1, 2, 9

1 Human Sciences Campaign, U.S. Army Research Laboratory, Adelphi, MD, 20783, USA

2 Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA

3 Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA, 19104, USA

4 Department of Psychology, University of Pennsylvania, Philadelphia, PA, 19104, USA

5 Marketing Department, Wharton School, University of Pennsylvania, Philadelphia, PA, 19104, USA

6 Department of Electrical & Systems Engineering, University of Pennsylvania, Philadelphia, PA, 19104, USA

7 Department of Neurology, University of Pennsylvania, Philadelphia, PA, 19104, USA

8 Department of Physics & Astronomy, University of Pennsylvania, Philadelphia, PA, 19104, USA

9 Department of Psychological and Brain Sciences, University of California, Santa Barbara, 93106, USA

Introduction

How do we predict how an individual will behave in a particular situation? Across several decades, social scientists have identified many self‐report measures that account for individual variability in behavior, yet a large percentage of the variance remains unaccounted for by these introspective reports (Armitage and Conner 2001; O'Keefe 2018). Recent advances in analytic approaches and computational tools have ...

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Publisher Resources

ISBN: 9781119484967Purchase book