Social behavior, as compared to the egoistic and rational behavior, is known to be more beneficial to groups of subjects and even to individual members of a group. For this reason, social norms naturally emerge as a product of evolution in human and animal populations. The benefit of the social behavior makes it also an interesting subject in the field of artificial agents. Social interactions implemented in computer agents can improve their personal and group performance. In this study we formulate design principles of social agents and use them to create social computer agents. To construct social agents we take two approaches. First, we construct social computer agents based on our understanding of social norms. Second, we use an evolutionary approach to create social agents. The social agents are shown to outperform agents that do not utilize social behavior.
|Title of host publication||Foundations on Natural and Artificial Computation - 4th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2011, Proceedings|
|Editors||Jose Manuel Ferrandez, F. Javier Toledo, Jose Ramon Alvarez Sanchez, Felix de la Paz|
|Number of pages||10|
|Publication status||Published - 2011|
|Event||4th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2011 - La Palma, Canary Islands, Spain|
Duration: 30 May 2011 → 3 Jun 2011
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Conference||4th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2011|
|City||La Palma, Canary Islands|
|Period||30/05/11 → 3/06/11|
Bibliographical noteFunding Information:
The research reported in this paper is supported by NWO User Support Program Space Research. The project number is ALW-GO-MG/07-13.
© Springer-Verlag Berlin Heidelberg 2011.