<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Scherer, K. R.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Emotions are emergent processes: They require a dynamic computational architecture</style></title><secondary-title><style face="normal" font="default" size="100%">Philosophical Transactions of the Royal Society, Series B</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">appraisal</style></keyword><keyword><style  face="normal" font="default" size="100%">emergent processes</style></keyword><keyword><style  face="normal" font="default" size="100%">Emotion</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2009</style></year></dates><volume><style face="normal" font="default" size="100%">364</style></volume><pages><style face="normal" font="default" size="100%">3459-3474</style></pages><abstract><style face="normal" font="default" size="100%">&lt;div align=&quot;justify&quot;&gt;
	Emotion is a cultural and psychobiological adaptation mechanism which allows each individual to react flexibly and dynamically to environmental contingencies. From this claim flows a description of the elements theoretically needed to construct a virtual agent with the ability to display humanlike emotions and to respond appropriately to human emotional expression. This article offers a brief survey of the desirable features of emotion theories that make them ideal blueprints for agent models. In particular, the component process model of emotion is described, a theory which postulates emotion-antecedent appraisal on different levels of processing that drive response system patterning predictions. In conclusion, investing seriously in emergent computational modelling of emotion using a nonlinear dynamic systems approach is suggested.&lt;/div&gt;
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