Emotions and personality in agent design and modeling

Our research combines two diverse strands of work in AI and cognitive science. We start from the principled paradigm of rational agent design based on decision theory. We then use this paradigm to formally define the emotional states and personality of an artificial intelligent agent. We view the emotional states as the agent\u27s decision-making modes, predisposing the agent to make its choices in a specific, yet rational, way. Change of the emotional state, say due to an external stimulus, invokes a transformation of the agent\u27s decision-making behavior. We define personality as consisting of the agent\u27s emotional states together with the specification of transitions taking place among the states. To enable an artificial agent to model the personalities and emotional states of agents and humans that it interacts with, we additionally provide a precise definition of a personality models of other agents. Our definition allows the personality models to be learned over the course of multiple interactions with the users and other agents