Design of Social Agents - Foundations on Natural and Artificial Computation - page 199

4 Discussion
In our study we provided computer agents that are able to increase personal
performance by utilizing social interactions with random agents with unknown
strategies. In more details, we provided a mechanism that allows agents to es-
tablish and maintain cooperation. The presented agents establish and maintain
cooperation only if it is necessary and sucient condition for the cooperative
behavior of the partner. Moreover, the constructed agents are able to prevent
exploitation by the defective partner. And finally, the presented agents can ex-
ploit those partners that allow the exploitation. We have demonstrated that the
constructed agents perform outperform majority of random agents and even the
agents that have been obtained by evolutionary optimization. In this way we
proposed the computational model that describes cooperation and exploitation.
The proposed model provides a mechanism of how collaboration and exploita-
tion can be established and maintained. As a consequence we contribute to a
better understanding of these social phenomena. The presented model can be
used to identify collaborative and exploiting patterns in humans behavior and,
in this way, explain human behavior better. Moreover, the constructed agents
mimic human social behavior and, as a consequence, can better play against
human players in collaborative computer games.
Acknowledgments
The research reported in this paper is supported by NWO User Support Program
Space Research. The project number is ALW-GO-MG/07-13.
References
1. Barakova, E.I., Gillessen, J., Feijs, L.: Social training of autistic children with in-
teractive intelligent agents. Journal of Integrative Neuroscience 8 (1), 23-34 (2009)
2. Barakova, E.I., Lourens, T.: Expressing and interpreting emotional movements in
social games with robots. Personal and Ubiquitous Computing 14, 457-467 (2010)
3. Bekker, T., Sturm, J., Barakova, E.: Design for social interaction through physical
play in diverse contexts of use. Personal and Ubiquitous Computing 14 (5), 381-383
(2010)
4. Bonnie, K.E., Horner, V., Whiten, A., de Waal, F.B.M.: Spread of arbitrary con-
ventions among chimpanzees: a controlled experiment. Proceedings in Biological
Science 274(1608), 367-372 (2007)
5. DiMaggio, P.J., Powell, W.W.: The iron cage revisited: Institutional isomorphism
and collective rationality in organizational fields. American Sociological Review 48,
147-160 (1983)
6. Ficici, S.G., Pfeffer, A.: Modeling how humans reason about others with partial
information. In: Proceedings of the 7th International Joint Conference on Au-
tonomous Agents and Multiagent Systems, vol. 1, pp. 315-322 (2008)
7. Gal, Y., Grosz, B.J., Kraus, S., Pfeffer, A., Shieber, S.: Colored trails: a formal-
ism for investigating decision-making in strategic environments. In: Proceedings of
the 2005 IJCAI workshop on reasoning, representation, and learning in computer
games, pp. 25-30 (2005)