Cogprints

Biomimetic Emotional Learning Agents

Kenyon, Samuel H. (2005) Biomimetic Emotional Learning Agents. [Preprint]

Full text available as:

[img]
Preview
PDF
98Kb

Abstract

This extended abstract proposes a type of AI agent comprised of: an autonomous real-time control system, low-level emotional learning (including a simple knowledge base that links homeostatic/innate drives to sensory perception states), and a novel sliding-priority drive motivation mechanism. Learning occurs in both phylogenetic and ontogenetic training.

Item Type:Preprint
Keywords:autonomous agents, emotional architectures, layered architectures, innate drives, homeostasis, ontogenetic learning, phylogenetic learning, development
Subjects:Computer Science > Artificial Intelligence
ID Code:9034
Deposited By: Kenyon, Samuel H.
Deposited On:17 Sep 2013 14:30
Last Modified:17 Sep 2013 14:30

References in Article

Select the SEEK icon to attempt to find the referenced article. If it does not appear to be in cogprints you will be forwarded to the paracite service. Poorly formated references will probably not work.

Ayers, J. 2002. A Conservative Biomimetic Control Architecture for Autonomous Underwater Robots. In Neurotechnology for Biomimetic Robots, Ayers, J., Davis, J.L., and Rudolph, A. eds. 241-259. Cambridge, MA: MIT Press.

Breazeal, C. 2003. Cognitive Modeling for Biomimetic Robots. In Biologically Inspired Intelligent Robots, Bar-Cohen, Y. and Breazeal, C. eds. 253-283. Bellingham, WA: SPIE Press.

Damasio, A. 1994. Descartes' Error: Emotion, Reason, and the Human Brain. New York: Putnam.

Damasio, A. 1999. The Feeling of What Happens: Body and Emotion in the Making of Consciousness. San Diego:Harcourt.

Fujita, M., Hasegawa, R., Takagi, C., Yokono, J., and Shimomura, H. 2001. An Autonomous Robot that Eats Information Via Interaction with Humans and Environment. In Proceedings 2001 IEEE 10th International Workshop on Robot and Human Interactive Communication.

Gat, E. 1998. On Three-Layer Architectures. In Artificial Intelligence and Mobile Robots: Case Studies of Successful Robot Systems, Kortenkamp, D., Bonasso, R.P., and Murphy, R. eds. Menlo Park, Calif.: AAAI Press.

Gadanho, S.C., and Hallam, J. 2001. Robot Learning Driven by Emotions. Adaptive Behavior, 9(1).

Kenyon, S. 2003. The Need for Emotional Architectures in Practical Robots. Draft. Available: http://synapticnulship.com/papers/emotional_arch_robot_v1.pdf

Mochida, T., Ishiguro, A., Aoki, T., and Uchikawa, Y. 1995. Behavior Arbitration for Autonomous Mobile Robots Using Emotion Mechanisms. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 3: 516-521.

Moffat, D.C. and Frijda, N.H. 2000. Functional Models of Emotion. In Affective Minds, Hatano, G., Okada, N., and Tanabe, H. eds. 59-68. Amsterdam: Elsevier.

Vlad, O.P. and Fukuda, T. 2002. Model Based Emotional Status Simulation. In Proceedings 2002 IEEE Int. Workshop on Robot and Human Interactive Communication.

Vlad, O.P., Vachkov, G., and Fukuda, T. 2002. Fuzzy Emotion Interpolation System for Emotional Autonomous Agents. In Proceedings Society of Instrument and Control Engineers Annual Conference 2002.

Metadata

Repository Staff Only: item control page