A bio-inspired self-responding emotional behavior system for virtual creatures
Autor: | Félix Ramos, Diana G. Gómez-Martínez, Jonathan-Hernando Rosales, Vianney Muñoz-Jiménez, Marco A. Ramos |
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Rok vydání: | 2018 |
Předmět: |
0301 basic medicine
Cognitive science Creatures Computer science Process (engineering) Cognitive Neuroscience Emotion classification Conceptual model (computer science) Experimental and Cognitive Psychology 03 medical and health sciences 030104 developmental biology 0302 clinical medicine Artificial Intelligence Emotional behavior 030217 neurology & neurosurgery |
Zdroj: | Biologically Inspired Cognitive Architectures. 26:26-40 |
ISSN: | 2212-683X |
DOI: | 10.1016/j.bica.2018.07.012 |
Popis: | Communication is a fundamental aspect of the interaction among human beings. In particular, our physical behaviors provide a large part of this communication, because it expresses our emotional internal states. Most of these behaviors are autonomous and reactive, detonated by the assessment of a stimuli perceived in the environment. Within this type of self-responding behaviors are the behaviors of basic emotions. In this paper we propose a conceptual model for the generation of self-responding behaviors for virtual creatures inspired by neuroscientific evidence, focusing on those centered on basic emotions. The conceptual model is implemented as a concurrent and parallel distributed system, which allows virtual creatures to adapt to their environment and generate more credible behavior. The results of this implementation are shown in this article through a case study, in which the execution of the process is observed when the creature interacts with the environment. |
Databáze: | OpenAIRE |
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