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Network-Oriented Modeling - Addressing Complexity of Cognitive, Affective and Social Interactions (Hardcover, 1st ed. 2016)
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Network-Oriented Modeling - Addressing Complexity of Cognitive, Affective and Social Interactions (Hardcover, 1st ed. 2016)
Series: Understanding Complex Systems
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This book presents a new approach that can be applied to complex,
integrated individual and social human processes. It provides an
alternative means of addressing complexity, better suited for its
purpose than and effectively complementing traditional strategies
involving isolation and separation assumptions. Network-oriented
modeling allows high-level cognitive, affective and social models
in the form of (cyclic) graphs to be constructed, which can be
automatically transformed into executable simulation models. The
modeling format used makes it easy to take into account theories
and findings about complex cognitive and social processes, which
often involve dynamics based on interrelating cycles. Accordingly,
it makes it possible to address complex phenomena such as the
integration of emotions within cognitive processes of all kinds, of
internal simulations of the mental processes of others, and of
social phenomena such as shared understandings and collective
actions. A variety of sample models - including those for ownership
of actions, fear and dreaming, the integration of emotions in joint
decision-making based on empathic understanding, and evolving
social networks - illustrate the potential of the approach.
Dedicated software is available to support building models in a
conceptual or graphical manner, transforming them into an
executable format and performing simulation experiments. The
majority of the material presented has been used and positively
evaluated by undergraduate and graduate students and researchers in
the cognitive, social and AI domains. Given its detailed coverage,
the book is ideally suited as an introduction for graduate and
undergraduate students in many different multidisciplinary fields
involving cognitive, affective, social, biological, and
neuroscience domains.
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