Abstract
Human agents deliberate using models based on reason for only a minute proportion of the decisions that they make. In stark contrast, the deliberation of artificial agents is heavily dominated by formal models based on reason such as game theory, decision theory and logic—despite that fact that formal reasoning will not necessarily lead to superior real-world decisions. Further the Nobel Laureate Friedrich Hayek warns us of the ‘fatal conceit’ in controlling deliberative systems using models based on reason as the particular model chosen will then shape the system’s future and either impede, or eventually destroy, the subtle evolutionary processes that are an integral part of human systems and institutions, and are crucial to their evolution and long-term survival. We describe an architecture for artificial agents that is founded on Hayek’s two rationalities and supports the two forms of deliberation used by mankind.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
F. A. Hayek, The Fatal Conceit: The Errors of Socialism, W. W. Bartley, Ed. University Of Chicago Press, 1991.
V. L. Smith, Rationality in Economics: Constructivist and Ecological Forms. Cambridge University Press, 2007.
J. L. Arcos, M. Esteva, P. Noriega, J. A. Rodríguez, and C. Sierra, “Environment engineering for multiagent systems,” Journal on Engineering Applications of Artificial Intelligence, vol. 18, 2005.
C. Sierra and J. Debenham, “Trust and honour in information-based agency,” in Proceedings Fifth International Conference on Autonomous Agents and Multi Agent Systems AAMAS-2006, P. Stone and G. Weiss, Eds. Hakodate, Japan: ACM Press, New York, May 2006, pp. 1225 –1232.
——, “Information-based reputation,” in First International Conference on Reputation: Theory and Technology (ICORE’09), M. Paolucci, Ed., Gargonza, Italy, 2009, pp. 5–19.
A. Rubinstein, Modeling Bounded Rationality. MIT Press, Cambridge, MA, 1998.
S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, 2nd ed. Prentice Hall, 2002.
R. A. Brooks, “Intelligence without reason,” in Proceedings of the 12th International Joint Conference on Artificial Intelligence, R. Myopoulos and J. Reiter, Eds. Sydney, Australia: Morgan Kaufmann, August 1991, pp. 569–595.
S. Russell, “Rationality and intelligence,” Artificial Intelligence, vol. 94, no. 1-2, pp. 57–77, July 1997.
C. Sierra and J. Debenham, “Information-based deliberation,” in Proceedings Seventh International Conference on Autonomous Agents and Multi Agent Systems AAMAS-2008, L. Padgham, D. Parkes, J. Müller, and S. Parsons, Eds. Estoril, Portugal: ACM Press, New York, May 2008.
——, “Information-based agency,” in Proceedings of Twentieth International Joint Conference on Artificial Intelligence IJCAI-07, Hyderabad, India, January 2007, pp. 1513–1518.
——, “The LOGIC Negotiation Model,” in Proceedings Sixth International Conference on Autonomous Agents and Multi Agent Systems AAMAS-2007, Honolulu, Hawai’i, May 2007, pp. 1026–1033.
Y. Kalfoglou and M. Schorlemmer, “IF-Map: An ontology-mapping method based on information-flow theory,” in Journal on Data Semantics I, ser. Lecture Notes in Computer Science, S. Spaccapietra, S. March, and K. Aberer, Eds. Springer-Verlag: Heidelberg, Germany, 2003, vol. 2800, pp. 98–127.
Y. Li, Z. A. Bandar, and D. McLean, “An approach for measuring semantic similarity between words using multiple information sources,” IEEE Transactions on Knowledge and Data Engineering, vol. 15, no. 4, pp. 871–882, July / August 2003.
P. Cheeseman and J. Stutz, Bayesian Inference and Maximum Entropy Methods in Science and Engineering. Melville, NY, USA: American Institute of Physics, 2004, ch. On The Relationship between Bayesian and Maximum Entropy Inference, pp. 445 – 461.
J. Paris, “Common sense and maximum entropy,” Synthese, vol. 117, no. 1, pp. 75–93, 1999.
A. Garcx00FC;a-Camino, J. A. Rodrx00FC;guez-Aguilar, C. Sierra, and W. Vasconcelos, “Constraint rulebased programming of norms for electronic institutions,” Autonomous Agents and Multi-Agent Systems, vol. 18, no. 1, pp. 186 – 217, February 2009.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag London
About this paper
Cite this paper
Debenham, J., Sierra, C. (2010). Dual Rationality and Deliberative Agents. In: Bramer, M., Ellis, R., Petridis, M. (eds) Research and Development in Intelligent Systems XXVI. Springer, London. https://doi.org/10.1007/978-1-84882-983-1_6
Download citation
DOI: https://doi.org/10.1007/978-1-84882-983-1_6
Published:
Publisher Name: Springer, London
Print ISBN: 978-1-84882-982-4
Online ISBN: 978-1-84882-983-1
eBook Packages: Computer ScienceComputer Science (R0)