Many simulations use emotional contagion to simulate how groups of humans behave in emotionally charged environments. These models either have each individual agent conform to a group emotion, or have emotional spirals. However, these models do not include well known phenomenon such as displaying and receiving emotions through different means of communication, or having emotions masked by an ag...

Different models have been proposed to support emotion in artificial agents. However, a general framework to support the implementation of emotional agents of different kinds and levels of complexity is still not well defined. In this paper we present a model that is independent of specific physiological or psychological details, despite being inspired by biological processes, defining an emoti...

The fast growing technology of agents and the rise of emotional intelligence opened the doors to many new and interesting ideas. Among these ideas, one that has captured the interest of many researchers within the AI community is the development of emotional agents. While research on emotional agents is in a very early stage, many models have been developed to simulate emotions in agents. Some ...

We present a system designed to model characteristics which contribute to the emotional content of music. It creates n-gram models, Hidden Markov Models, and entropy-based models from corpora of musical selections representing various emotions. These models can be used both to identify emotional content and generate pieces representative of a target emotion. According to survey results, generat...

This work is aimed at exploiting Second-Order Circular Suprasegmental Hidden Markov Models (CSPHMM2s) as classifiers to enhance talking condition recognition in stressful and emotional talking environments (completely two separate environments). The stressful talking environment that has been used in this work uses Speech Under Simulated and Actual Stress (SUSAS) database, while the emotional t...

Current approaches to game design improvements rely on time-consuming gameplay testing processes, which rely on highly subjective feedback from a target audience. In this paper, we propose a generalizable approach for building predictive models of players’ emotional reactions across different games and game genres, as well as other forms of digital stimuli. Our input agnostic approach relies on...

Three emotional intelligence models are widely discussed in the literature: the ability model, trait model, and mixed model. This study introduces a model for understanding emotional intelligence: the synergy model. The emotional intelligence model presented in this study is simple and easy to understand. This study suggests that emotional intelligence is the synergy present in intelligence, wh...

Juvenile offenders are at risk for involvement in both fighting behavior and peer victimization. Understanding the potential causal mechanisms leading to these outcomes is important to address the needs of this population. The present study tested four mediator models of violent perpetration and peer victimization in a sample of 112 incarcerated youth (68 males and 44 females). In the models, t...

o enhance the performances of rough-neural networks (R-NNs) in the system identification‎, ‎on the base of emotional learning‎, ‎a new stable learning algorithm is developed for them‎. ‎This algorithm facilitates the error convergence by increasing the memory depth of R-NNs‎. ‎To this end‎, ‎an emotional signal as a linear combination of identification error and its differences is used to achie...