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  1. Author Reply: Incompatible Conclusions or Different Levels of Analysis?Jessica L. Tracy - 2014 - Emotion Review 6 (4):330-331.
    This exchange provides an array of perspectives on the questions of what emotions are, how they function, and how they should be studied. While my approach is evolutionary and functionalist—viewing each distinct emotion as having evolved to serve a particular function (though not necessarily one entirely unique to that emotion)—this approach is not the only one needed to fully understand emotions. Furthermore, several of the accounts offered here might be effectively synthesized by accepting the importance of both universal evolutionary factors (...)
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  • Four Perspectives on the Psychology of Emotion: An Introduction.James A. Russell - 2014 - Emotion Review 6 (4):291-291.
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  • Jealousy as a Specific Emotion: The Dynamic Functional Model.Mingi Chung & Christine R. Harris - 2018 - Emotion Review 10 (4):272-287.
    We review the jealousy literature and present our Dynamic Functional Model of Jealousy, which argues that jealousy evolved and has its own unique motivational state aimed at preventing others from usurping important relationships. It has a core form that exists in infants and nonhuman animals and an elaborated form in humans that emerges as cognitive sophistication develops. The DFMJ proposes that jealousy is an unfolding process with early and late phases that can be differentially impacted by relationship and personality factors. (...)
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  • Author Reply: Toward a Multilevel Mechanistic Explanation of Complex Regularities Between Environment and Emotional Components.Agnes Moors - 2014 - Emotion Review 6 (4):328-330.
    In reply to the commentaries of Clay-Warner (2014), Gendolla (2014), Nesse (2014), Shweder (2014), and Zachar (2014), I repeat the essential features of appraisal theories of the second flavor: They take emotional components (and not specific emotions) as the phenomenon to be explained, and they strive for a multilevel mechanistic explanation that leaves room for complex and dynamical processes or mechanisms. Every mechanistic explanation starts with an accurate description of regularities between inputs and outputs. Regularities do not preclude context-dependent variety, (...)
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