The affective reasoner: a process model of emotions in a multi-agent system
The affective reasoner: a process model of emotions in a multi-agent system
Steps toward artificial intelligence
Computers & thought
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Building cognitively rich agents using the SIM_Agent toolkit
Communications of the ACM
In-Depth Understanding: A Computer Model of Integrated Processing for Narrative Comprehension
In-Depth Understanding: A Computer Model of Integrated Processing for Narrative Comprehension
Learning behavior-selection by emotions and cognition in a multi-goal robot task
The Journal of Machine Learning Research
Zamin, an Agent Based Artificial Life Model
HIS '04 Proceedings of the Fourth International Conference on Hybrid Intelligent Systems
Emotion based adaptive reasoning for resource bounded agents
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Using Decision Trees to Model an Emotional Attention Mechanism
Proceedings of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference
Design and implementation of GEmA: A generic emotional agent
Expert Systems with Applications: An International Journal
Society of Mind cognitive agent architecture applied to drivers adapting in a traffic context
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
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Emotions are the subject of study in many research areas, including psychology, physiology and arti ficial intelligence. However, there is not yet a general computational definition for emotions and many of the related works in artificial intelligence are based on uncertain assumptions about the origin, fea tures, and applications of emotions. Therefore, we direct our studies toward achieving a better understanding of emotions and generating a computational model that could be a base for further research in the field. As a first step, we present the results of our study into the possible role of emotions in men tal resource management. To do so, we will introduce a model of emotions based on managing mental resources. We have applied it to a general model of mind and the whole model has been implemented in an artificial life simulation environment called Zamin to evaluate its ability to produce emotional behavior and to make better decisions. The results, as discussed in this article, show that a resource management mechanism could be the source of emotion generation in the mind.