Critics of appraisal theory have difficulty accepting appraisal (with its constructive flavor) as an automatic process, and hence as a potential cause of most emotions. In response, some appraisal theorists have argued that appraisal was never meant as a causal process but as a constituent of emotional experience. Others have argued that appraisal is a causal process, but that it can be either rule-based or associative, and that the associative variant can be automatic. This article first proposes empirically investigating whether (...) rule-based appraisal can also be automatic and then proposes investigating the automatic nature of constructive (instead of rule-based) appraisal because the distinction between rule-based and associative is problematic. Finally, it discusses experiments that support the view that constructive appraisal can be automatic. (shrink)

The capacity to control emotion is important for human adaptation. Questions about the neural bases of emotion regulation have recently taken on new importance, as functional imaging studies in humans have permitted direct investigation of control strategies that draw upon higher cognitive processes difficult to study in nonhumans. Such studies have examined (1) controlling attention to, and (2) cognitively changing the meaning of, emotionally evocative stimuli. These two forms of emotion regulation depend upon interactions between prefrontal and cingulate control systems (...) and cortical and subcortical emotion-generative systems. Taken together, the results suggest a functional architecture for the cognitive control of emotion that dovetails with findings from other human and nonhuman research on emotion. (shrink)

The past 50 years have seen an accumulation of evidence suggesting that associative learning depends on high-level cognitive processes that give rise to propositional knowledge. Yet, many learning theorists maintain a belief in a learning mechanism in which links between mental representations are formed automatically. We characterize and highlight the differences between the propositional and link approaches, and review the relevant empirical evidence. We conclude that learning is the consequence of propositional reasoning processes that cooperate with the unconscious processes involved (...) in memory retrieval and perception. We argue that this new conceptual framework allows many of the important recent advances in associative learning research to be retained, but recast in a model that provides a firmer foundation for both immediate application and future research. (shrink)

I present an overview of emotion theories, organised around the question of emotion causation. I argue that theories of emotion causation should ideally address the problems of elicitation, intensity, and differentiation. Each of these problems can be divided into a subquestion that asks about the relation between stimuli and emotions (i.e., the functional level of process description, cf. Marr, 1982) and a subquestion that asks about the mechanism and representations that intervene (i.e., the algorithmic level of process description). The overview (...) reveals that theories of emotion causation sometimes differ with regard to the kind of process that they hold responsible for emotion causation. More precisely, they hold different assumptions regarding the conditions under which the process is supposed to operate (optimal versus suboptimal), the format of the representations involved (propositional versus perceptual), and the object or input of the central process (stimulus versus responses/experience). Further, the overview reveals that theories of emotion causation sometimes differ with regard to the level of process description that they focus on. Finally, the overview brings to light several similarities among the theories discussed. (shrink)