Agents with attitude

Abstract

[Abstract]: Incorporating emotional factors into logical machines is a relatively new and exciting area of research. The motivation behind much of this work has been to improve our knowledge about emotional affects in humans and animals, exploration of affective theories and to better understand human-computer interaction with respect to usability and acceptance. In this paper we propose a method for affective reasoning and decision making. Our domain-independent, simulation environment, GOMASE, allows its agents to assess their beliefs and satisfy their goals based on their feelings about themselves, other agents and objects in their environment. This mechanism allows the agents to deal with situations where problem solutions are innumerable or time doesn't permit for finding the optimal answer. To examine our agents, we have presented a solution to a challenging problem-solving scenario posed by Picard endeavouring to examine the affective reasoning capabilities of our agents.