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)
AbstractSelf-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.
Added to PP
Historical graph of downloads
References found in this work
No references found.
Citations of this work
No citations found.
Similar books and articles
The Conditions of Fruitfulness of Theorizing About Mechanisms in Social Science.Arthur L. Stinchcombe - 1991 - Philosophy of the Social Sciences 21 (3):367-388.
Psychological-Level Systems Theory: The Missing Link in Bridging Emotion Theory and Neurobiology Through Dynamic Systems Modeling.Philip Barnard & Tim Dalgleish - 2005 - Behavioral and Brain Sciences 28 (2):196-197.
The Possibility of a Mathematical Sociology of Scientific Communication.Loet Leydesdorff - 1996 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 27 (2):243-265.
A Hierarchical Framework for Levels of Reality: Understanding Through Representation. [REVIEW]Stanley N. Salthe - 2009 - Axiomathes 19 (1):87-99.
The Contribution of Cross-Cultural Study to Dynamic Systems Modeling of Emotions.Greg Downey - 2005 - Behavioral and Brain Sciences 28 (2):201-202.
From Reduction Back to Higher Levels.William Bechtel & Adele Abrahamsen - 2008 - In B. C. Love, K. McRae & V. M. Sloutsky (eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 559--564.
Is There Empirical Evidence for the Dynamic Nature of Communication Systems?: The Role of Synchronization and Inferential Communication.Karl Grammer - 2002 - Behavioral and Brain Sciences 25 (5):625-626.