Pathfinding with emotion maps

Abstract

In humans as well as animals, emotions greatly influence decision making on both a conscious and subconscious level. In this paper we use findings within psychology and neuroscience to create a model for modeling and using emotion maps for agent pathfinding.We propose a model that combines these emotion maps depending on the agent's current emotions.We aim for a more varied and more natural agent behavior. Our hope is to create interesting behavior for games or game-like scenarios. © 2012 Springer-Verlag Berlin Heidelberg.