Modeling motivations and emotions as a basis for intelligent behavior

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Modeling motivations and emotions as a basis for intelligent behavior

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International Conference on Autonomous Agents archive
Proceedings of the first international conference on Autonomous agents table of contents

Marina del Rey, California, United States

Pages: 148 - 155

Year of Publication: 1997

ISBN:0-89791-877-0

Author

Dolores Cañamero

Massachusetts Institute of Technology, Artificial Intelligence Laboratory, 545, Technology Square, Cambridge, MA

Sponsors

SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 13, Downloads (12 Months): 59, Citation Count: 16

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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	9	Kandel, E.R., Schwartz, J.H., Jessell, T.M. 1995. Essentials of Neural Science and Behavior. Norwalk, CT: Appleton & Lange.
	10	Kravitz, E.A. 1988. Hormonal Control of Behavior: Amines and the Biasing of Behavioral Output in Lobsters, Science 24 I, September 30: 1775-1781.
	11	Maes, P. 1990. Situated Agents Can Have Goals. In Maes, P. ed. Designing Autonomous Agents: Theory and Practice from Biology to Engineering and Back, 49-70. Cambridge, MA: The MIT Press.
	12	Pattie Maes, A bottom-up mechanism for behavior selection in an artificial creature, Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats, p.238-246, February 1991, Paris, France
	13	McFarland, D. 1995. Opportunity versus Goals in Robots, Animals and People. In Roitblat, H.L., Meyer, J.-A. eds. Comparative Approaches to Cognitive Science. 415--433. Cambridge, MA: MIT Press.
	14	Marvin Minsky, The society of mind, Simon & Schuster, Inc., New York, NY, 1986
	15	Pribram, K,H. 1984. Emotion: A Neurobehavioral Analysis. In Scherer, K.R. & Ekman, P. Approaches to Emotion, 13-38. Hillsdale, NJ: Lawrence Erlbaum.
	16	Stuart J. Russell , Peter Norvig, Artificial intelligence: a modern approach, Prentice-Hall, Inc., Upper Saddle River, NJ, 1995
	17	Schachter, S. 1964. The Interaction of Cognitive and Physiological Determinants of Emotional States. In Berkowitz, L. ed. Advances in Experimental Social Psychology Vol. 1, 49-80. New York: Academic Press.
	18	Tomkins. S.S. 1984. Affect Theory. In Scherer, K.R. & Ekman, P. Approaches to Emotion, 163-195. Hillsdale, NJ: Lawrence Erlbaum Associates.

CITED BY 16

	Carlos Martinho , Ana Paiva, Pathematic agents: rapid development of believable emotional agents in intelligent virtual environments, Proceedings of the third annual conference on Autonomous Agents, p.1-8, April 1999, Seattle, Washington, United States
	Cynthia Breazeal, Emotion and sociable humanoid robots, International Journal of Human-Computer Studies, v.59 n.1-2, p.119-155, July 2003
	Orlando Avila-García , Elena Hafner , Lola Cañamero, Relating behavior selection architectures to environmental complexity, Proceedings of the seventh international conference on simulation of adaptive behavior on From animals to animats, p.127-128, August 05-09, 2002
	Kirsten Boehner , Rogério DePaula , Paul Dourish , Phoebe Sengers, Affect: from information to interaction, Proceedings of the 4th decennial conference on Critical computing: between sense and sensibility, August 20-24, 2005, Aarhus, Denmark
	Lola Cañamero, Emotion understanding from the perspective of autonomous robots research, Neural Networks, v.18 n.4, p.445-455, May 2005
	Sandra Clara Gadanho , John Hallam, Robot learning driven by emotions, Adaptive Behavior, v.9 n.1, p.42-64, March 2001
	Kathryn Merrick , Mary Lou Maher, Motivated reinforcement learning for non-player characters in persistent computer game worlds, Proceedings of the 2006 ACM SIGCHI international conference on Advances in computer entertainment technology, June 14-16, 2006, Hollywood, California
	Kirsten Boehner , Rogério DePaula , Paul Dourish , Phoebe Sengers, How emotion is made and measured, International Journal of Human-Computer Studies, v.65 n.4, p.275-291, April, 2007
	Jonathan Gratch , Stacy Marsella, Evaluating a Computational Model of Emotion, Autonomous Agents and Multi-Agent Systems, v.11 n.1, p.23-43, July 2005
	Alberto Montebelli , Carlos Herrera , Tom Ziemke, On Cognition as Dynamical Coupling: An Analysis of Behavioral Attractor Dynamics, Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems, v.16 n.2-3, p.182-195, April 2008
	Grażyna Ślusarczyk, A grammar-based multiagent system in dynamic design, Artificial Intelligence for Engineering Design, Analysis and Manufacturing, v.22 n.2, p.129-145, January 2008
	Jeffrey L. Krichmar, The Neuromodulatory System: A Framework for Survival and Adaptive Behavior in a Challenging World, Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems, v.16 n.6, p.385-399, December 2008
	Hongwei Yang , Zhigeng Pan , Mingmin Zhang , Chunhua Ju, Modeling emotional action for social characters, The Knowledge Engineering Review, v.23 n.4, p.321-337, December 2008
	Matthias Scheutz, Useful roles of emotions in artificial agents: a case study from artificial life, Proceedings of the 19th national conference on Artifical intelligence, p.42-47, July 25-29, 2004, San Jose, California
	Maria Malfaz , Miguel A. Salichs, Using Emotions for Behaviour-Selection Learning, Proceeding of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy, p.697-698, May 22, 2006
	Tomas Brandejsky, Limitation of telematic applications from the viewpoint of processing capacity, Proceedings of the 2009 Euro American Conference on Telematics and Information Systems: New Opportunities to increase Digital Citizenship, p.1-4, June 03-05, 2009, Prague, Czech Republic