Affective dynamics are discussed from the perspective of a view of origin and functions of affective valence based in control processes. This view posits that affect reflects the error signal of a feedback loop managing rate of progress at goal attainment or threat avoidance. Negative feelings signal doing poorly, demanding more effort. Positive feelings signal doing better than necessary, allowing coasting, which yields goal attainment without unnecessary resource expenditure. Given multiple simultaneous goals, these functions assist in moment-to-moment priority management, facilitating (...) attainment of all. (shrink)

We discuss three varieties of affective dynamics. In each case, we suggest how these affective dynamics should be operationalized and measured in daily life using time-intensive methods, like ecological momentary assessment or ambulatory assessment, and recommend time-sensitive analyses that take into account not only the variability but also the temporal dependency of reports. Studies that explore how these affective dynamics are associated with psychological disorders and symptoms are reviewed, and we emphasize that these affective processes are within a nexus of (...) other components of emotion regulation. (shrink)

Emotion is conceptualised as an emergent, dynamic process based on an individual's subjective appraisal of significant events. It is argued that theoretical models of emotion need to propose an architecture that reflects the essential nature and functions of emotion as a psychobiological and cultural adaptation mechanism. One proposal for such a model and its underlying dynamic architecture, the component process model, is briefly sketched and compared with some of its major competitors. Recent empirical evidence in support of the model is (...) reviewed. Special emphasis is given to the dynamic aspect of emotion processes, in particular the sequence of appraisal checks and the synchronisation of response systems, as well as the capacity of the model to predict individual differences in emotional responding. (shrink)

Efforts to bridge emotion theory with neurobiology can be facilitated by dynamic systems (DS) modeling. DS principles stipulate higher-order wholes emerging from lower-order constituents through bidirectional causal processes cognition relations. I then present a psychological model based on this reconceptualization, identifying trigger, self-amplification, and self-stabilization phases of emotion-appraisal states, leading to consolidating traits. The article goes on to describe neural structures and functions involved in appraisal and emotion, as well as DS mechanisms of integration by which they interact. These mechanisms (...) include nested feedback interactions, global effects of neuromodulation, vertical integration, action-monitoring, and synaptic plasticity, and they are modeled in terms of both functional integration and temporal synchronization. I end by elaborating the psychological model of emotion–appraisal states with reference to neural processes. (shrink)

Systems theory holds that emotional responses derive from the continuous, mutual interaction between multiple neurobiological and behavioral systems associated with emotion as they are contextually embedded. Developmental systems theory portrays these systems as becoming progressively integrated as they mature. From this perspective, regulatory processes are incorporated into emotion throughout the course of emotional development. This article examines the implications of developmental systems theory in understanding the association between emotion and emotion regulation, enlisting the functionalist orientation of contemporary emotions theory, a (...) broad portrayal of emotion regulatory influences, and attention to the role of context in the management of emotion. (shrink)

The construct of flexibility has been a focus for research and theory for over 100 years. However, flexibility has not been consistently or adequately defined, leading to obstacles in the interpretation of past research and progress toward enhanced theory. We present a model of socioemotional flexibility—and its counterpart rigidity—at three time scales using dynamic systems modeling. At the real-time scale (micro), moment-to-moment fluctuations in affect are identified as dynamic flexibility. At the next higher meso-time scale, adaptive adjustments to changes in (...) context are characterized as reactive flexibility. At the macro scale is flexibility that occurs across months or years, reflecting flexibility due to developmental or life transitions. Implications of the model and suggestions for future research are discussed. (shrink)

Emotions are foremost self-regulating processes that permit rapid responses and adaptations to situations of personal concern. They have biological bases and are shaped ontogenetically via learning and experience. Many situations and events of personal concern are social in nature. Thus, social exchanges play an important role in learning about rules and norms that shape regulation processes. I argue that (a) emotions often are actively auto-regulating—the behavior implied by the emotional reaction bias to the eliciting event or situation modifies or terminates (...) the situation; (b) certain emotion components are likely to habituate dynamically, modifying the emotional states; (c) emotions are typically intra- and interpersonal processes at the same time, and modulating forces at these different levels interact; (d) emotions are not just regulated—they regulate. Important conclusions of my arguments are that the scientific analysis of emotion should not exclude regulatory processes, and that effortful emotion regulation should be seen relative to a backdrop of auto-regulation and habituation, and not the ideal notion of a neutral baseline. For all practical purposes unregulated emotion is not a realistic concept. (shrink)