A Web of Emotions
نویسندگان
چکیده
The fast growing technology of agents and the rise of emotional intelligence opened the doors to many new and interesting ideas. Among these ideas, one that has captured the interest of many researchers within the AI community is the development of emotional agents. While research on emotional agents is in a very early stage, many models have been developed to simulate emotions in agents. Some of the most recent computational models of emotions attempt to account for the inevitable links between emotions and many other processes residing in the mind, such as planning, cognition, personality, and motivation. Most of these models, however, simulate an incomplete picture of the links involved. Furthermore, most of these models tend to simulate emotional triggered expressions or behaviors according to one emotion, which is an invalid assumption, since emotions, realistically, occur in a mixture. We have taken a relatively new approach in emotional agents’ development. Rather than defining the emotional process as a single independent process, we define the emotional process as a web whose different emotional states act as strings that pass through many other processes or states affecting or becoming affected by them. Thus, instead of triggering emotions and then defining a behavior according to one emotion, we use other processes, such as learning and experience, to trigger mixtures of emotions. These mixtures then propagate through the web affecting or becoming affected by other processes and states, including motivations and behaviors. In this paper, we describe the design and implementation of the emotional web. Additionally, we demonstrate empirically through a computer simulation of a pet that simulating the link between emotions and learning is crucial to users’ assessments of the believability of an agent’s behaviors.
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