The society of mind
Chaos: making a new science
2005 Special Issue: The interaction of attention and emotion
Neural Networks - Special issue: Emotion and brain
2005 Special Issue: Emotion recognition in human-computer interaction
Neural Networks - Special issue: Emotion and brain
Rethinking Feelings: An fMRI Study of the Cognitive Regulation of Emotion
Journal of Cognitive Neuroscience
Performance on Indirect Measures of Race Evaluation Predicts Amygdala Activation
Journal of Cognitive Neuroscience
A domain-independent framework for modeling emotion
Cognitive Systems Research
Introduction: 'Emotion and brain: Understanding emotions and modelling their recognition'
Neural Networks - Special issue: Emotion and brain
EEG feature extraction for classifying emotions using FCM and FKM
ACACOS'08 Proceedings of the 7th WSEAS International Conference on Applied Computer and Applied Computational Science
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
Short-term emotion assessment in a recall paradigm
International Journal of Human-Computer Studies
Grounding Robot Autonomy in Emotion and Self-awareness
Proceedings of the FIRA RoboWorld Congress 2009 on Advances in Robotics
Neural substructures for appraisal in emotion: self-esteem and depression
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Emotion detection using noisy EEG data
Proceedings of the 1st Augmented Human International Conference
Journal of Intelligent and Robotic Systems
A novel middleware solution to improve ubiquitous healthcare systems aided by affective information
IEEE Transactions on Information Technology in Biomedicine - Special section on affective and pervasive computing for healthcare
Information Processing and Management: an International Journal
Cognition according to the ouroboros model
BI'11 Proceedings of the 2011 international conference on Brain informatics
A Computational Model of Emotions for Agent-Based Crowds in Serious Games
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
Multi-modal affect induction for affective brain-computer interfaces
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part I
Emotion assessment: arousal evaluation using EEG's and peripheral physiological signals
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Crawling to improve multimodal emotion detection
MICAI'11 Proceedings of the 10th international conference on Artificial Intelligence: advances in Soft Computing - Volume Part II
A computational model of action resonance and its modulation by emotional stimulation
Cognitive Systems Research
EMA: A process model of appraisal dynamics
Cognitive Systems Research
Valence, arousal and dominance in the EEG during game play
International Journal of Autonomous and Adaptive Communications Systems
International Journal of Autonomous and Adaptive Communications Systems
The power of a handshake: Neural correlates of evaluative judgments in observed social interactions
Journal of Cognitive Neuroscience
Image and Vision Computing
International Journal of Synthetic Emotions
Advocating a Componential Appraisal Model to Guide Emotion Recognition
International Journal of Synthetic Emotions
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While artificial neural networks are regularly employed in modeling the perception of facial and vocal emotion expression as well as in automatic expression decoding by artificial agents, this approach is yet to be extended to the modeling of emotion elicitation and differentiation. In part, this may be due to the dominance of discrete and dimensional emotion models, which have not encouraged computational modeling. This situation has changed with the advent of appraisal theories of emotion and a number of attempts to develop rule-based models can be found in the literature. However, most of these models operate at a high level of conceptual abstraction and rarely include the underlying neural architecture. In this contribution, an appraisal-based emotion theory, the Component Process Model (CPM), is described that seems particularly suited to modeling with the help of artificial neural network approaches. This is due to its high degree of specificity in postulating underlying mechanisms including efferent physiological and behavioral manifestations as well as to the possibility of linking the theoretical assumptions to underlying neural architectures and dynamic processes. This paper provides a brief overview of the model, suggests constraints imposed by neural circuits, and provides examples on how the temporal unfolding of emotion can be conceptualized and experimentally tested. In addition, it is shown that the specific characteristics of emotion episodes can be profitably explored with the help of non-linear dynamic systems theory.