Abstract
When constructing multiagent systems, the designer may approach the system as a collection of individuals or may view the entire system as a whole. In addition to these approaches, it may be beneficial to consider the interactions between the individuals and the whole. Borrowing ideas from the notion of social construction and building on previous work in synthetic social construction, this paper presents a framework wherein autonomous agents engage in a dialectic relationship with the society of agents around them. In this framework, agents recognize patterns of social activity in their societies, group such patterns into institutions, and form computational representations of those institutions. The paper presents a design framework describing this method of institutionalization, some implementation suggestions, and a discussion of possible applications.
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References
Alspaugh, T.: Temporally Expressive Scenarios in ScenarioML Institute for Software Research Technical Report UCI-ISR-05-06, University of California, Irvine (2005)
Baumer, E., Tomlinson, B.: Synthetic Social Construction for Autonomous Characters. In: AAAI Workshop on Modular Construction of Human-Like Intelligence, Pittsburgh, PA (2005)
Berger, P.L., Luckmann, T.: The Social Construction of Reality: A Treatise on the Sociology of Knowledge. Irvington Publishers, Inc., New York (1966)
Brooks, R.A.: Elephants Don’t Play Chess. Robotics and Autonomous Systems 6
Cooley, C.H.: Human Nature and the Social Order. Charles Scribner’s Sons, New York (1902)
Cuni, G., Esteva, M., Garcia, P., Puertas, E., Sierra, C., Solchaga, T.: MASFIT: Multi-Agest System for Fish Trading. In: 16th European Conference on Artificial Intelligence (ECAI 2004), Valencia, Spain, pp. 710–714 (2004)
Dillenbourg, P., Baker, M., Blaye, A., O’Malley, C.: The evolution of research on collaborative learning. In: Reimann, P., Spada, H. (eds.) Learning in Humans and Machine: Towards an interdisciplinary learning science, pp. 189–211. Elsevier, Oxford (1996)
Dourish, P.: Where The Action Is: The Foundations of Embodied Interaction. MIT Press, Cambridge (2001)
Esteva, M.: Electronic Institutions: from specification to development Artificial Intelligence Research Institute (IIIA), Technical University of Catalonia (UPC), Barcelona (2003)
Goffman, E.: The Presentation of Self in Everyday Life. Doubleday, New York (1959)
Holland, J.: Emergence: from chaos to order. Oxford University Press, Oxford (1998)
Jennings, N.R.: On Agent-Based Software Engineering. Artificial Intelligence 117(2), 277–296
Johnson, S.: Emergence: the connected lives of ants, brains, cities, and software. Simon& Schuster, New York (2002)
Ju, W., Nickell, S., Eng, K., Nass, C.: Influence of colearner agent gehavior on learner performance and attitudes CHI 2005 extended abstracts on Human factors in computing systems. ACM Press, Portland (2005)
Kaelbling, L.P., Littman, M.L., Moore, A.W.: Reinforcement Learning: A Survey. Journal of Artificial Intelligence Research 4, 237–285
Langton, C.: Artificial Life: an overview. MIT Press, Cambridge (1995)
Lu, S.-Y.: A Tree-to-Tree Distance and Its Application to Cluster Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 1(2), 219–224
Mead, G.H.: Mind, Self, and Society from the Perspective of a Social Behaviorist. University of Chicago Press, Chicago (1934)
Murphy, R., Lisetti, C.L., Tardif, R., Irish, L., Gage, A.: Emotion-Based Control of Cooperating Heterogeneous Robots. IEEE Transactions on Robotics and Automation 18(5), 744–757
Norman, D., Ortony, A., Russell, D.M.: Affect and machine design: Lessons for the development of autonomous machines. IBM Systems Journal 42, 38–44
Sierra, C., Rodriguez-Aguilar, J.A., Noriega, P., Esteva, M., Arcos, J.L.: Engineering multi-agent systems as electronic institutions. European Journal for the Informatics Professional 4
Tice, D.M., Wallace, H.M.: The Reflected Self: Creating Yourself as (You Think) Others See You. In: Leary, M.R., Tangney, J.P. (eds.) Handbook of Self and Identity, The Guilford Press, New Your (2003)
Tomlinson, B., Blumberg, B.A.: Social Learning, Emotion and Development in Autonomous Virtual Agents. In: Truszkowski, W., Hinchey, M., Rouff, C.A. (eds.) WRAC 2002. LNCS, vol. 2564, pp. 35–45. Springer, Heidelberg (2003)
Vasconcelos, E.M., Sierra, C., Rodgriguez-Aguilar, J.A.: Verifying norm consistency in electronic institutions. In: AAAI 2004 Workshop on Agent Organizations: Theory and Practice, San Jose, CA, pp. 8–14 (2004)
Watkins, C.J.C.H., Dayan, P.: Technical Note: Q-Learning. Machine Learning 8(3-4), 279–292
Wolfram, S.: A New Kind of Science. Wolfram Media, Champaign (2002)
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Baumer, E., Tomlinson, B. (2006). Institutionalization Through Reciprocal Habitualization and Typification. In: Hinchey, M.G., Rago, P., Rash, J.L., Rouff, C.A., Sterritt, R., Truszkowski, W. (eds) Innovative Concepts for Autonomic and Agent-Based Systems. WRAC 2005. Lecture Notes in Computer Science(), vol 3825. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11964995_11
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DOI: https://doi.org/10.1007/11964995_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69265-2
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