A Memory Model for Emotional Decision-Making Agent in a Game

Abstract

Virtual characters are an important part of many modern computer games. This paper describes a graph-based memory system designed for artificial agents that also simulate simple emotions. The system was tested using virtual simulation environment and it showed many new and desirable AI behaviours. These behaviours include simple preferences, reactions based on bot’s opinion of a stimuli or improvement of bot’s ability to find objects to interact with.