Synthetic Characters with Personality and Emotion

Introduction

Researchers of systems for Digital Entertainment have resorted to Artificial Intelligence to create characters that are more adaptable to new situations, less predictable, with fast learning capabilities, memory of past situations and a variety of convincing and consistent behaviors.

Recent studies in cognitive psychology and neuroscience analyze the fundamental role of personality and emotions in human cognition, based on the notions of perception, attention, planning, reasoning, learning, memory and decision making. These notions can be characterized as modules in a formal model to describe the personality and emotions of autonomous agents, whose manifestations can be directly dependent upon personality and emotional states. Future research in affective computing must explore how emotions interact with other modules in agent architectures (such as memory and decision making), as well as how emotions influence the interactions with other agents [1].