Skip to main content
Springer Nature Link
Log in

Creation of Agent’s Vision of Social Network Through Episodic Memory

  • Conference paper
  • First Online:
Parallel Processing and Applied Mathematics (PPAM 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8385))

  • 1353 Accesses

Abstract

Human societies appear in many types of simulations. One of the most important and the most difficult society elements to be modelled is the social context. In this paper we show how social context can be provided using agents that are equipped with internal visions of social relations between others. Internal vision is a representation of social relations from the agent’s point of view so, being subjective, it may be inconsistent with the reality. We introduce the agent model and the mechanism of rebuilding the agent’s internal vision that is similar to that used by humans. An experimental proof of concepts is also presented.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Bródka, P., Filipowski, T., Kazienko, P.: An introduction to community detection in multi-layered social network. In: Lytras, M.D., Ruan, D., Tennyson, R.D., Ordonez De Pablos, P., García Peñalvo, F.J., Rusu, L. (eds.) WSKS 2011. CCIS, vol. 278, pp. 185–190. Springer, Heidelberg (2013)

    Google Scholar 

  2. Chen, Y., Prietula, M.: To deceive or not to deceive? Mimicry, deception and regimes in tag-based models. In: Intra-Organizational Networks (ION) Conference (2005)

    Google Scholar 

  3. Doran, J.: Social simulation, agents and artificial societies. In: Third International Conference on Multi-Agent Systems, pp. 4–5 (1998)

    Google Scholar 

  4. Eagle, N., Pentland, A., Lazer, D.: From the cover: inferring friendship network structure by using mobile phone data. Proc. Natl. Acad. Sci. U S A 106, 15274–15278 (2009)

    Article  Google Scholar 

  5. Genesereth, M., Nilsson, N.: Logical Foundations of Artificial Intelligence. Morgan Kaufmann, San Mateo (1987)

    MATH  Google Scholar 

  6. Han, Y.S., Kim, L., Cha, J.W.: Computing user reputation in a social network of web 2.0. Comput. Inf. 31, 447–462 (2012)

    Google Scholar 

  7. Kane, G., Prietula, M.: Influence and structure: extending a model of organizational learning. In: Twelfth Annual Organizational Winter Science Conference (2006)

    Google Scholar 

  8. Kazienko, P., Brodka, P., Musial, K., Gaworecki, J.: Multi-layered social network creation based on bibliographic data. In: SocialCom/PASSAT, pp. 407–412. IEEE Computer Society (2010)

    Google Scholar 

  9. Kryza, B., Krol, D., Wrzeszcz, M., Dutka, L., Kitowski, J.: Interactive cloud data farming environment for military mission planning support. Comput. Sci. 23(3), 89–100 (2012)

    Article  Google Scholar 

  10. Kvassay, M., Hluchy, L., Kryza, B., Kitowski, J., Seleng, M., Dlugolinsky, S., Laclavk, M.: Combining object-oriented and ontology-based approaches in human behaviour modelling. In: 2011 IEEE 9th International Symposium on Applied Machine Intelligence and Informatics (SAMI), pp. 177–182 (2011)

    Google Scholar 

  11. Laclavík, M., Dlugolinský, Š., Šeleng, M., Kvassay, M., Schneider, B., Bracker, H., Wrzeszcz, M., Kitowski, J., et al.: Agent-based simulation platform evaluation in the context of human behavior modeling. In: Dechesne, F., Hattori, H., ter Mors, A., Such, J.M., Weyns, D., Dignum, F. (eds.) AAMAS 2011 Workshops. LNCS, vol. 7068, pp. 396–410. Springer, Heidelberg (2012)

    Google Scholar 

  12. Latane, B.: Dynamic social impact. In: Hegselmann, R., Mueller, U., Troitzsch, K.G. (eds.) Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of View, vol. 23, pp. 287–310. Springer, Berlin (1996)

    Chapter  Google Scholar 

  13. March, J.G.: Exploration and exploitation in organizational learning. Organ. Sci. 2(1), 71–87 (1991)

    Article  MathSciNet  Google Scholar 

  14. Nazir, F., Prendinger, H., Seneviratne, A.: Participatory mobile social network simulation environment. In: ICC, pp. 1–6. IEEE (2010)

    Google Scholar 

  15. Russell, S., Norvig, P.: Artificial Intelligence: A Modern Approach. Prentice-Hall, Englewood Cliffs (1995)

    MATH  Google Scholar 

  16. Sabater, J., Sierra, C.: Reputation and social network analysis in multi-agent systems. In: AAMAS ’02: Proceedings of the First International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 475–482. ACM (2002)

    Google Scholar 

  17. Schmidt, B.: Modelling of human behaviour: the PECS reference model. In: 14th European Simulation Symposium (2002)

    Google Scholar 

  18. Thalmann, D.: Simulating a human society: the challenges. In: Computer Graphics International, CGI02, pp. 25–38 (2002)

    Google Scholar 

  19. Vere, S.A., Bickmore, T.W.: A basic agent. Comput. Intell. 6, 41–60 (1990)

    Article  Google Scholar 

  20. Wooldridge, M., Jennings, N.R.: Intelligent agents: theory and practice. Knowl. Eng. Rev. 10(2), 115–152 (1995)

    Article  Google Scholar 

  21. Wrzeszcz, M., Kitowski, J.: Mobile social networks for live meetings. Comput. Sci. 13(4), 87–100 (2012)

    Article  Google Scholar 

Download references

Acknowledgments

This research is partially supported by AGH-UST grants no. 11.11.230.015 and 15.11.230.097.

Author information

Authors and Affiliations

  1. Department of Computer Science, Faculty of Computer Science, Electronics and Telecommunications, AGH University of Science and Technology, al. Mickiewicza 30, 30-059, Krakow, Poland

    Michał Wrzeszcz & Jacek Kitowski

  2. ACC Cyfronet AGH, AGH University of Science and Technology, ul. Nawojki 11, 30-950, Krakow, Poland

    Jacek Kitowski

Authors
  1. Michał Wrzeszcz
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jacek Kitowski
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Michał Wrzeszcz .

Editor information

Editors and Affiliations

  1. Institute of Computer and Information Science, Czestochowa University of Technology, Czestochowa, Poland

    Roman Wyrzykowski

  2. University of Tennessee, Department of Computer Science, Knoxville, Tennessee, USA

    Jack Dongarra

  3. Institute of Computer and Information Science, Czestochowa University of Technology, Czestochowa, Poland

    Konrad Karczewski

  4. Technical University of Denmark Informatics and Mathematical Modelling, Kongens Lyngby, Denmark

    Jerzy Waśniewski

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wrzeszcz, M., Kitowski, J. (2014). Creation of Agent’s Vision of Social Network Through Episodic Memory. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2013. Lecture Notes in Computer Science(), vol 8385. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55195-6_70

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-55195-6_70

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-55194-9

  • Online ISBN: 978-3-642-55195-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics