Design of social agents

Roman Gorbunov; Emilia Barakova; Matthias Rauterberg

doi:10.1007/978-3-642-21344-1_21

Design of social agents

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

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.

Original language	English
Title of host publication	Foundations on natural and artificial computation : 4th international work-conference on the interplay between natural and artificial computation, IWINAC 2011, La Palma, Canary Islands, Spain, May 30 - June 3, 2011. proceedings
Editors	Jose Manuel Ferrandez, F. Javier Toledo, Jose Ramon Alvarez Sanchez, Felix de la Paz
Place of Publication	Heidelberg
Publisher	Springer
Pages	192-201
Number of pages	10
Volume	1
ISBN (Print)	9783642213434
DOIs	https://doi.org/10.1007/978-3-642-21344-1_21
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

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6686 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2011
Country/Territory	Spain
City	La Palma, Canary Islands
Period	30/05/11 → 3/06/11

Bibliographical note

Funding 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.

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2011.

Funding

The research reported in this paper is supported by NWO User Support Program Space Research. The project number is ALW-GO-MG/07-13.

Access to Document

10.1007/978-3-642-21344-1_21

Cite this

Gorbunov, R., Barakova, E., & Rauterberg, M. (2011). Design of social agents. In J. M. Ferrandez, F. J. Toledo, J. R. Alvarez Sanchez, & F. de la Paz (Eds.), Foundations on natural and artificial computation : 4th international work-conference on the interplay between natural and artificial computation, IWINAC 2011, La Palma, Canary Islands, Spain, May 30 - June 3, 2011. proceedings (Vol. 1, pp. 192-201). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6686 LNCS). Springer. https://doi.org/10.1007/978-3-642-21344-1_21

Gorbunov, Roman ; Barakova, Emilia ; Rauterberg, Matthias. / Design of social agents. Foundations on natural and artificial computation : 4th international work-conference on the interplay between natural and artificial computation, IWINAC 2011, La Palma, Canary Islands, Spain, May 30 - June 3, 2011. proceedings. editor / Jose Manuel Ferrandez ; F. Javier Toledo ; Jose Ramon Alvarez Sanchez ; Felix de la Paz. Vol. 1 Heidelberg : Springer, 2011. pp. 192-201 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "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.",

author = "Roman Gorbunov and Emilia Barakova and Matthias Rauterberg",

note = "Funding 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. Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2011.; 4th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2011 ; Conference date: 30-05-2011 Through 03-06-2011",

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Gorbunov, R, Barakova, E & Rauterberg, M 2011, Design of social agents. in JM Ferrandez, FJ Toledo, JR Alvarez Sanchez & F de la Paz (eds), Foundations on natural and artificial computation : 4th international work-conference on the interplay between natural and artificial computation, IWINAC 2011, La Palma, Canary Islands, Spain, May 30 - June 3, 2011. proceedings. vol. 1, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6686 LNCS, Springer, Heidelberg, pp. 192-201, 4th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2011, La Palma, Canary Islands, Spain, 30/05/11. https://doi.org/10.1007/978-3-642-21344-1_21

Design of social agents. / Gorbunov, Roman; Barakova, Emilia ; Rauterberg, Matthias.
Foundations on natural and artificial computation : 4th international work-conference on the interplay between natural and artificial computation, IWINAC 2011, La Palma, Canary Islands, Spain, May 30 - June 3, 2011. proceedings. ed. / Jose Manuel Ferrandez; F. Javier Toledo; Jose Ramon Alvarez Sanchez; Felix de la Paz. Vol. 1 Heidelberg: Springer, 2011. p. 192-201 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6686 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Design of social agents

AU - Gorbunov, Roman

AU - Barakova, Emilia

AU - Rauterberg, Matthias

N1 - Funding 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. Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2011.

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/79956368951

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DO - 10.1007/978-3-642-21344-1_21

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SN - 9783642213434

VL - 1

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 192

EP - 201

BT - Foundations on natural and artificial computation : 4th international work-conference on the interplay between natural and artificial computation, IWINAC 2011, La Palma, Canary Islands, Spain, May 30 - June 3, 2011. proceedings

A2 - Ferrandez, Jose Manuel

A2 - Toledo, F. Javier

A2 - Alvarez Sanchez, Jose Ramon

A2 - de la Paz, Felix

PB - Springer

CY - Heidelberg

T2 - 4th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2011

Y2 - 30 May 2011 through 3 June 2011

ER -

Gorbunov R, Barakova E , Rauterberg M. Design of social agents. In Ferrandez JM, Toledo FJ, Alvarez Sanchez JR, de la Paz F, editors, Foundations on natural and artificial computation : 4th international work-conference on the interplay between natural and artificial computation, IWINAC 2011, La Palma, Canary Islands, Spain, May 30 - June 3, 2011. proceedings. Vol. 1. Heidelberg: Springer. 2011. p. 192-201. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-21344-1_21

Design of social agents

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