Infant-like social interactions between a robot and a human caregiver
Adaptive Behavior
Probability and Statistics with Reliability, Queuing and Computer Science Applications
Probability and Statistics with Reliability, Queuing and Computer Science Applications
A Computational Architecture to Model Human Emotions
IIS '97 Proceedings of the 1997 IASTED International Conference on Intelligent Information Systems (IIS '97)
Emotional advantage for adaptability and autonomy
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
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This paper deals with the implementation of emotions in a benevolent multi-agents system performing a specified task in a group to develop intelligent behavior and easier form of communication. The task is assigned by the user of the system and the user also evaluates the overall performance of the system according to his demand criteria. The overall group performance depends on the individual performance, group communication and synchronization of cooperation. With the emotional capability, each agent can distinguish the changed environment, can understand colleague's state, enables adaptation and reacts with changed world. The behavior of an agent is derived from the dominating emotion in an intelligent manner. A stochastic model based on Markov theory is developed to model the emotional state of agent.