Computational Model of Motor Planning for Virtual Creatures: a Biologically Inspired Model

The development of computational models that emulate human cognitive functions is challenging. Nevertheless, we think that cognitive systems will allow to correct several problems of behavior like credibility, or wrong behavior that occur in some areas such as: virtual reality, artificial life, autonomous agents, humanoid robots, human-computer interaction. In this paper we propose a biological inspired computational model for motor planning applied to virtual creatures. We present the results of a case study taken from Neurosciences to validate our model. Also, the flow of information in our model emulating the flow of information of the human brain is presented.