Utilizing Emotions in Strategic Real-Time Artificial Intelligence

Strategic real-time systems are of high potential and their applications are growing, although they are mostly prevalent in video games, military training, and military planning. We propose a paradigm to advance current systems by introducing emotions into the simulated agents that make decisions and solve situations cooperatively. By utilizing emotional reactions and communication, we hope to advance these systems so that the decision process better mimics human behavior. Since our system allows sharing of emotions with nearby agents it utilizes both internal and external emotional control.