Research On Emotion Model And Cognitive Method Of Virtual Human

Recently, with the development of cognitive theories for computer science, artificial psychology as well as some relevant subjects, some concepts such as virtual environment, virtual human and software human and so on that are closely relevant to the artificial intelligence begin to emerge in the minds of researchers. The intelligence simulation with virtual humans in the virtual digitalized environment is considered as another research focus after the behavior simulation in the field of the artificial intelligence, this simulation with virtual human includes emotion model, the framework for cognitive process with virtual human, the influence of emotion to intelligence, behavior planning as well as the intelligent simulation environment and so on.Emotion model is always considered as the core part in the research of the advanced intelligent simulation with virtual human. This model is based on virtual sense, including the definition of virtual human demands, feelings, motivations, behavior planning, and the important role of emotions is discussed. Emotion is defined as a satisfaction level of the individual mood to the demand. Emotional model consists of several components, including the virtual human attributes, virtual human demand model, virtual human feelings, emotions and emotional intention of the valuation. The model accepts virtual human visual information input, in order to generate the internal variables in the form of a virtual experience, in order to generate the basis of emotions. Taking into account the complexity of human emotions, a virtual person's internal emotional model and the external emotional models is defined to reflect this complexity. The internal model is a virtual human's true feelings, while the external model is limited by other factors, the control of virtual humans, such as intelligence, personalization factor, it is responsible for the virtual human emotions in an appropriate method. Virtual human's personalization features is considered through the personalization parameters in this model to reflect the individual, including:feelings of strength of individual parameters, the sensitivity of individual parameters of experience, demands to meet individual parameters. Emotion intention is the output of the model.Modeling for the Cognitive process based on the emotion with virtual human is critical in the course of the advanced intelligent simulation, and intention, memory and study are positioned in the core of this process. Motivation model consists of emotional intent, the candidate motivation, decomposition of motivation, focus motivation, obtaining the candidate motivation algorithms, motivation analysis, and motivation evaluation. The emotion intention is acquired from the emotion model. Focus motivation, finally gained by the evaluation arithmetic for the emotion value, is considered as the focus intention for the behavior planning. Memory models in three stages will play a critical role in the decision-making of intelligence with virtual human, by illustrating a concrete arithmetic case, the influence of the emotion to intelligence as well as the working process of the three-stage memory model is discussed particularly.There are two shortcomings always exist in the process of path-navigation by the improved A* arithmetic, one is the use of the terrain of the situation. For the inappropriate screening of the some useful terrains, a real path with the most cost-effective benefit could not be gained; the other is the full ignoring for new chances in the dynamic situation. The Improved A* arithmetic based on the emotion, however, compensates for the shortcomings stated above, therefore, the test based on this arithmetic has some superiority in the process of path-navigation with virtual human.The study capability with virtual human is of great significance to improve its autonomy. The basic style for that is the condition response. CRMBBN(Conditional Reflex Model Based Bayesian Network), founded on the emotion model and also acquired by the bayes network, is a classical model for condition response. This model can complete several typical experiments such as gain, oblivion, re-gain and so on that is showed by tests definitely, and therefore is a foundation to study for virtual human.With regard to the achievement of the intelligence simulation with virtual human, we have designed a structure of Agent system based on the BDI model. This model, helping us create models for emotion and intention with virtual human and, including some instinct response, therefore is a structure of Agent system that suitable to intelligence simulation with virtual human:an Agent structure based on the smart object (BSOAA). Based on the theory research, we construct a platform for intelligent simulation with virtual human---AIPlayer, and further verify the theory achievements such as emotion model and intention model based on this platform.