论文信息 - Emotion, Embodiment, and Consequence Driven Systems

Emotion, Embodiment, and Consequence Driven Systems

Emotion has been considered as an important concept of embodied systems. A learning agent, Crossbar Adaptive Array, which implements the concept of emotion in its learning and behavioral scheme is described. Some issues relevant to embodied intelligence and reinforcement learning are also discussed.

[1] C. Watkins. Learning from delayed rewards , 1989 .

[2] Andrew G. Barto,et al. Learning to Act Using Real-Time Dynamic Programming , 1995, Artif. Intell..

[3] Nicholas R. Jennings,et al. Intelligent Agents: Ecai-94 Workshop on Agent Theories, Architectures, and Languages Amsterdam, the Netherlands August 8-9, 1994 : Proceedings , 1995 .

[4] Marvin Minsky,et al. Steps toward Artificial Intelligence , 1995, Proceedings of the IRE.

[5] R. Bellman. Dynamic programming. , 1957, Science.

[6] Richard S. Sutton,et al. Neuronlike adaptive elements that can solve difficult learning control problems , 1983, IEEE Transactions on Systems, Man, and Cybernetics.

[7] Stevo Bozinovski,et al. Interactionist-expectative view on agency and learning , 1997 .

[8] Arthur L. Samuel,et al. Some Studies in Machine Learning Using the Game of Checkers , 1967, IBM J. Res. Dev..

[9] G BartoAndrew,et al. Learning to act using real-time dynamic programming , 1995 .

[10] Rodney A. Brooks,et al. A Robust Layered Control Syste For A Mobile Robot , 2022 .

[11] Ben J. A. Kröse,et al. Learning from delayed rewards , 1995, Robotics Auton. Syst..

[12] Maja J. Mataric,et al. Interaction and intelligent behavior , 1994 .

[13] D. Spalding. The Principles of Psychology , 1873, Nature.

[14] Nicholas R. Jennings,et al. Agent Theories, Architectures, and Languages: A Survey , 1995, ECAI Workshop on Agent Theories, Architectures, and Languages.