FLAME—Fuzzy Logic Adaptive Model of Emotions
Autonomous Agents and Multi-Agent Systems
Continual planning and acting in dynamic multiagent environments
PCAR '06 Proceedings of the 2006 international symposium on Practical cognitive agents and robots
Goals in conflict: semantic foundations of goals in agent programming
Autonomous Agents and Multi-Agent Systems
Detecting & avoiding interference between goals in intelligent agents
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
A domain-independent framework for modeling emotion
Cognitive Systems Research
Emotional appraisal of moral dilemma in characters
ICIDS'12 Proceedings of the 5th international conference on Interactive Storytelling
Emotional range in value-sensitive deliberation
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
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As argued by [9], moral decision making entails considering alternatives and assessing the pros and cons of their possible consequences for self and others. From the area of affective neuroscience the concept of moral emotions has been introduced [9] and neurobiological findings [7] show that moral emotions are used to judge the adequacy of actions and are central to moral behavior, decision making and learning. My aim is to build a computational model for moral emotions in order to enable intelligent agents [2] to understand moral consequences of actions through moral emotions. The agent is able to compare alternative scenarios and to decide what course of actions and goals to pursue in order to show a morally driven behavior. Moral emotions are useful when the agent is engaged in a social interaction with a user or other agents, because (i) moral emotions may lead the agent towards the compliance with (shared) moral values (ii) the agent is equipped with moral emotions which make her potentially emphatic to others.