The word “emotion” has named a psychological category and a subject for systematic enquiry only since the 19th century. Before then, relevant mental states were categorised variously as “appetites,” “passions,” “affections,” or “sentiments.” The word “emotion” has existed in English since the 17th century, originating as a translation of the French émotion, meaning a physical disturbance. It came into much wider use in 18th-century English, often to refer to mental experiences, becoming a fully fledged theoretical term in the following century, (...) especially through the influence of two Scottish philosopher-physicians, Thomas Brown and Charles Bell. This article relates this intellectual and semantic history to contemporary debates about the usefulness and meaning of “emotion” as a scientific term. (shrink)

Individual differences in emotional reactivity or affective style can be decomposed into more elementary constituents. Several separable of affective style are identified such as the threshold for reactivity, peak amplitude of response, the rise time to peak and the recovery time. latter two characteristics constitute components of affective chronometry The circuitry that underlies two fundamental forms of motivation and and withdrawal-related processes-is described. Data on differences in functional activity in certain components of these are next reviewed, with an emphasis on (...) the nomological network of surrounding individual differences in asymmetric prefrontal The relevance of such differences for understanding the nature affective dysfunction in affective disorders is then considered. The ends by considering what the prefrontal cortex “does” in certain of affective style and highlights some of the important questions for future research. (shrink)

Feeling bad is one thing, judging something to be bad another. This hot/cold distinction helps resolve the debate between bipolar and bivariate accounts of affect. A typical affective reaction includes both core affect and judgments of the affective qualities of various aspects of the stimulus situation. Core affect is described by a bipolar valence dimension in which feeling good precludes simultaneously feeling bad and vice versa. Judgments of affective quality of opposite valence can occur simultaneously because the stimulus situation has (...) many aspects. Affective reaction can also include an emotional meta-experience, which can, but rarely does, embrace simultaneous emotion categories of opposite valence. (shrink)

We first present a selection of vignette examples from empirical psychological research to illustrate how the phenomenon of metaemotion is studied within different domains of psychology. We then present a theoretical distinction which has been made between three facets of metacognition, namely metacognitive experiences, metacognitive knowledge, and metacognitive strategies. Referring back to the vignette examples from metaemotion research, we argue that a similar distinction can be drawn between three facets of metaemotion, namely metaemotional experiences, metaemotional knowledge, and metaemotional strategies. We (...) argue that this distinction clarifies some of the unresolved issues in metaemotion research, and therefore has important implications for the study of metaemotion, both methodologically and theoretically. (shrink)

Complex systems research is becoming ever more important in both the natural and social sciences. It is commonly implied that there is such a thing as a complex system, different examples of which are studied across many disciplines. However, there is no concise definition of a complex system, let alone a definition on which all scientists agree. We review various attempts to characterize a complex system, and consider a core set of features that are widely associated with complex systems in (...) the literature and by those in the field. We argue that some of these features are neither necessary nor sufficient for complexity, and that some of them are too vague or confused to be of any analytical use. In order to bring mathematical rigour to the issue we then review some standard measures of complexity from the scientific literature, and offer a taxonomy for them, before arguing that the one that best captures the qualitative notion of the order produced by complex systems is that of the Statistical Complexity. Finally, we offer our own list of necessary conditions as a characterization of complexity. These conditions are qualitative and may not be jointly sufficient for complexity. We close with some suggestions for future work. (shrink)

In this paper we integrate claims and findings concerning the social functions of emotions at the individual, dyadic, group, and cultural levels of analysis. Across levels of analysis theorists assume that emotions solve problems important to social relationships in the context of ongoing interactions. Theorists diverge, however, in their assumptions about the origins, defining characteristics, and consequences of emotions, and in their preferred forms of data. We illustrate the differences and compatibilities among these levels of analysis for the specific case (...) of embarrassment. We close by suggesting research strategies that incorporate a social-functional perspective. (shrink)

In this paper we present a prototype approach to awe. We suggest that two appraisals are central and are present in all clear cases of awe: perceived vastness, and a need for accommodation, defined as an inability to assimilate an experience into current mental structures. Five additional appraisals account for variation in the hedonic tone of awe experiences: threat, beauty, exceptional ability, virtue, and the supernatural. We derive this perspective from a review of what has been written about awe in (...) religion, philosophy, sociology, and psychology, and then we apply this perspective to an analysis of awe and related states such as admiration, elevation, and the epiphanic experience. (shrink)

The effort to define the term “emotion” has a long history in the discipline of psychology. Izard’s survey (2010) canvassed prominent emotion theorists and researchers on their working definitions of emotion. The particular assumptions about emotion reported, as well as the conclusion that the term “emotion” lacks a consensus definition, both have historical precedent. In this commentary, I place Izard’s findings in this historical context and discuss the implications of his survey for the future of emotion research.

The target articles and commentaries reveal considerable support for the view that the term “emotion” names neither a natural kind nor a coherent psychological category. This brief response revisits a couple of historical points about the meanings of “emotion,” as well as the ancient debate between Stoicism and Christianity.

What enables individually simple insects like ants to act with such precision and purpose as a group? How do trillions of individual neurons produce something as extraordinarily complex as consciousness? What is it that guides self-organizing structures like the immune system, the World Wide Web, the global economy, and the human genome? These are just a few of the fascinating and elusive questions that the science of complexity seeks to answer. In this remarkably accessible and companionable book, leading complex systems (...) scientist Melanie Mitchell provides an intimate, detailed tour of the sciences of complexity, a broad set of efforts that seek to explain how large-scale complex, organized, and adaptive behavior can emerge from simple interactions among myriad individuals. Comprehending such systems requires a wholly new approach, one that goes beyond traditional scientific reductionism and that re-maps long-standing disciplinary boundaries. Based on her work at the Santa Fe Institute and drawing on its interdisciplinary strategies, Mitchell brings clarity to the workings of complexity across a broad range of biological, technological, and social phenomena, seeking out the general principles or laws that apply to all of them. She explores as well the relationship between complexity and evolution, artificial intelligence, computation, genetics, information processing, and many other fields. Richly illustrated and vividly written, Complexity : A Guided Tour offers a comprehensive and eminently comprehensible overview of the ideas underlying complex systems science, the current research at the forefront of this field, and the prospects for the field's contribution to solving some of the most important scientific questions of our time. (shrink)