Adding ingredients to the self-organizing dynamic system stew: Motivation, communication, and higher-level emotions – and don't forget the genes!
Behavioral and Brain Sciences 28 (2):197-198 (2005)
| Abstract | Self-organizing dynamic systems (DS) modeling is appropriate to conceptualizing the relationship between emotion and cognition-appraisal. Indeed, DS modeling can be applied to encompass and integrate additional phenomena at levels lower than emotional interpretations (genes), at the same level (motives), and at higher levels (social, cognitive, and moral emotions). Also, communication is a phenomenon involved in dynamic system interactions at all levels. | |||||||||
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Arthur L. Stinchcombe (1991). The Conditions of Fruitfulness of Theorizing About Mechanisms in Social Science. Philosophy of the Social Sciences 21 (3):367-388.
Edmund T. Rolls (2007). Emotion Explained. OUP Oxford.
Greg Downey (2005). The Contribution of Cross-Cultural Study to Dynamic Systems Modeling of Emotions. Behavioral and Brain Sciences 28 (2):201-202.
Stanley N. Salthe (2009). A Hierarchical Framework for Levels of Reality: Understanding Through Representation. Axiomathes 19 (1).
Irene M. Pepperberg (2002). Research Scientist. Behavioral and Brain Sciences 25 (5):636-636.
Loet Leydesdorff (1996). The Possibility of a Mathematical Sociology of Scientific Communication. Journal for General Philosophy of Science 27 (2):243-265.
Philip Barnard & Tim Dalgleish (2005). Psychological-Level Systems Theory: The Missing Link in Bridging Emotion Theory and Neurobiology Through Dynamic Systems Modeling. Behavioral and Brain Sciences 28 (2):196-197.
Karl Grammer (2002). Is There Empirical Evidence for the Dynamic Nature of Communication Systems?: The Role of Synchronization and Inferential Communication. Behavioral and Brain Sciences 25 (5):625-626.
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