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A comprehensive introduction to mathematical and agent-based
modeling of social behavior This book provides a unified,
theory-driven introduction to key mathematical and agent-based
models of social dynamics and cultural evolution, teaching readers
how to build their own models, analyze them, and integrate them
with empirical research programs. It covers a variety of modeling
topics, each exemplified by one or more archetypal models, and
helps readers to develop strong theoretical foundations for
understanding social behavior. Modeling Social Behavior equips
social, behavioral, and cognitive scientists with an essential tool
kit for thinking about and studying complex social systems using
mathematical and computational models. Combines both mathematical
and agent-based modeling of social behavior Integrates cognitive
science, social science, and cultural evolution Covers topics such
as the philosophy of modeling, collective movement, segregation,
contagion, polarization, the evolution of cooperation, the
emergence of norms, networks, and the scientific process Discusses
more advanced topics, including how to use models to build a more
robust empirical research program An ideal introductory textbook
for graduate students or advanced undergraduates An invaluable
resource for practitioners
A comprehensive introduction to mathematical and agent-based
modeling of social behavior This book provides a unified,
theory-driven introduction to key mathematical and agent-based
models of social dynamics and cultural evolution, teaching readers
how to build their own models, analyze them, and integrate them
with empirical research programs. It covers a variety of modeling
topics, each exemplified by one or more archetypal models, and
helps readers to develop strong theoretical foundations for
understanding social behavior. Modeling Social Behavior equips
social, behavioral, and cognitive scientists with an essential tool
kit for thinking about and studying complex social systems using
mathematical and computational models. Combines both mathematical
and agent-based modeling of social behavior Integrates cognitive
science, social science, and cultural evolution Covers topics such
as the philosophy of modeling, collective movement, segregation,
contagion, polarization, the evolution of cooperation, the
emergence of norms, networks, and the scientific process Discusses
more advanced topics, including how to use models to build a more
robust empirical research program An ideal introductory textbook
for graduate students or advanced undergraduates An invaluable
resource for practitioners
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