1,182 research outputs found

    Learning emotions in virtual environments

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    A modular hybrid neural network architecture, called SHAME, for emotion learning is introduced. The system learns from annotated data how the emotional state is generated and changes due to internal and external stimuli. Part of the modular architecture is domain independent and part must be\ud adapted to the domain under consideration.\ud The generation and learning of emotions is based on the event appraisal model.\ud The architecture is implemented in a prototype consisting of agents trying to survive in a virtual world. An evaluation of this prototype shows that the architecture is capable of\ud generating natural emotions and furthermore that training of the neural network modules in the architecture is computationally feasible.\ud Keywords: hybrid neural systems, emotions, learning, agents

    Simulation of emotions of agents in virtual environments using neural networks

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    A distributed architecture for a system simulating the emotional state of an agent acting in a virtual environment is presented. The system is an implementation of an event appraisal model of emotional behaviour and uses neural networks to learn how the emotional state should be influenced by the occurrence of environmental and internal\ud stimuli. A part of the modular system is domain-independent. The system can easily be adapted for handling different events that influence the emotional state. A first\ud prototype and a testbed for this architecture are presented

    Girls-boys: an investigation of gender differences in the behavioral and neural mechanisms of trust and reciprocity in adolescence

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    Background: Trust and reciprocity toward others have often been found to increase from childhood to adulthood. Gender differences in these social behaviors have been reported in adults. While adolescence is a key-period of change in social behavior, gender differences in trust and reciprocity during this developmental stage have rarely been investigated. Methods: Here we investigate age-related gender differences in trust and reciprocity (n = 100, 51 female) and associated neural mechanisms (n = 44, 20 female) in adolescents between 13 and 19 years of age. Participants played two multi-round trust games with a pre-programmed cooperative and an unfair partner. Forty-four of 100 participants completed the trust game while undergoing functional brain imaging. Results: Participantsā€™ investments were greater toward a cooperative than unfair game partner (p < 0.01), showing sensitivity to the degree of trustworthiness. There were no gender or age or related differences in baseline trust. In repeated cooperative interactions no gender differences were found, but younger adolescents showed slightly steeper increase of investments than older adolescents. In unfair interactions, younger males reacted with stronger decrease of investments than older males. Region of interest analysis of brain areas associated with in mentalizing, reward learning, conflict processing, and cognitive control revealed gender-by-age interactions on trusting behavior in the temporo-parietal junction (TPJ) and the caudate, showing stronger influence of age in males than in females during cooperation, and the reverse in unfair interactions. Additionally, main effects of gender were found in the TPJ, with higher activation in males, and in the caudate, with females showing greater activation. Conclusion: In first interactions and during repeated cooperative interactions, adolescent males and females showed similar trusting behavior. Younger males showed stronger responses to unfairness by others. Gender-by-age interactions in specific ROIs suggest differential development in mentalizing and reward related cognitive processes. In conjunction with previous research, our findings suggest the presence of subtle gender and age-related changes in trust and cooperation that are only detectable using larger age windows

    The Story Behind Bankruptcy: When Business Gets Personal

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    The number of bankruptcies in a specific period, and levels of debt, are well documented but little is known about the consequences of bankruptcies beyond the numbers. In this study, Dutch entrepreneurs who went through debt rescheduling after personal bankruptcy, were interviewed in order to gain an understanding of the private, personal and social implications of bankruptcy. Recently, systematic investigations of the implications of bankruptcy have been published. However, research has not yet taken the phenomenological experience of the bankrupt entrepreneur into account. Insights into these experiences are of critical importance for obtaining a comprehensive understanding of the impact of the bankruptcy process, and for engaging in a meaningful reform of bankruptcy law. During the interviews in this study, the entrepreneurs reflected on the early days of their business venture, the moment of first detecting the prospect of business failure, their personal experiences during business failure, and the aftermath of bankruptcy and debt rescheduling. The findings indicate that a bankruptcy experience can be compared to losing a loved one: a psychological process similar to mourning. The findings show that a lack of empathy, respect and transparency by formal institutional representatives such as judges, trustees and administrators is seen by the entrepreneurs as ā€˜emotional punishmentā€™, and can be considered as a major source of their grief. Because of this grief, the bankruptcy and debt rescheduling experience can be extremely stressful causing severe psychological and physical distress. Implications for theory and practice are discussed. Coherent privaatrech
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