A Complex Adaptive Systems Approach to Personality and Social Psychology through Design Sciences
Abstract
Conventional approaches to personality and social psychology focus on identifying statistical
regularities between variables, resulting in a limited understanding of how these relationships
are generated. A complex adaptive systems (CAS) approach offers a theoretical lens through
which existing approaches can be understood from a generative perspective, in which
relationships between variables emerge from interactions between biological, cognitive and
social actors. Although this approach is often explored through computational modelling,
computer games also offer a means of examining generative processes in personality and
social psychology, and both methodologies can be grouped under a design sciences approach.
This thesis demonstrates the utility of CAS and design sciences by applying the CAS
perspective to the relationship between personality and social change, and arguing for the use
of design sciences to complement existing approaches by improving external validity in
conventional experiments and examining behaviour over time. The utility of CAS and design
sciences is demonstrated through two studies: an agent-based model examining the role of
negative affect in belief persistence, and a computer game examining the relationship
between personality and strategic cognition. It is concluded that the CAS and design sciences
approaches offer significant potential that can be realised through a comprehensive
endeavour focused on building research teams with diverse skills, and creating a broad
platform on which to run studies.
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