A bio-inspired self-responding emotional behavior system for virtual creatures

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.