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Contribution of Socionics to the Scalability of Complex Social Systems: Introduction

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Book cover Socionics

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3413))

Abstract

The aim of the introduction is to provide insight into the interdisciplinary research program of Socionics and to clarify fundamental concepts like micro-macro linkage and scalability from the two different perspectives of Sociology and DAI&MAS research. Far away from the intention to offer final answers, the article rather tries to provide a framework to understand the contributions of the book as well as to relate their content to each other. The introduction also informs the reader about the scientific context of the interdisciplinary field of Socionics and deals with basic concepts and comments from the point of view of both Sociology and DAI&MAS research.

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References

  1. Müller, J., Malsch, T., Schulz-Schäffer, I.: Socionics. Introduction and potential. Journal of Artificial Societies and Social Simulation 1 (1998), http://www.soc.surrey.ac.uk/JASSS/1/3/5.html

  2. Hewitt, C.E.: Offices are open systems. ACM Transactions on Office Information Systems 4, 271–287 (1986)

    Article  Google Scholar 

  3. Hewitt, C.E.: Open information systems semantics for distributed artificial intelligence. Artificial Intelligence 47, 79–106 (1991)

    Article  MathSciNet  Google Scholar 

  4. Gasser, L.: Social conceptions of knowledge and action. DAI foundations and open systems semantics. Artificial Intelligence 47, 107–138 (1991)

    Article  MathSciNet  Google Scholar 

  5. Malsch, T.: Naming the unnamable. Socionics or the sociological turn of/to Distributed Artificial Intelligence. Autonomous Agents and Multi-Agent Systems 4, 155–186 (2001)

    Article  Google Scholar 

  6. Hayes-Roth, F.: Towards a framework for distributed AI. Sigart Newsletter 73, 51 (1980)

    Google Scholar 

  7. Bond, A., Gasser, L. (eds.): Readings in Distributed Artificial Intelligence. Morgan Kaufmann, San Francisco (1988)

    Google Scholar 

  8. Huhns, M.N. (ed.): Distributed Artificial Intelligence. Pitman/Morgan Kaufmann, San Francisco (1987)

    MATH  Google Scholar 

  9. Gasser, L., Huhns, M.N. (eds.): Distributed Artificial Intelligence. Research Notes in Artificial Intelligence, vol. II. Morgan Kaufmann, San Mateo (1989)

    Google Scholar 

  10. Strübing, J.: Bridging the gap. On the collaboration between symbolic interactionism and distributed artificial intelligence in the field of multi-agent systems research. Symbolic Interaction 21, 441–464 (1998)

    Article  Google Scholar 

  11. Castelfranchi, C., Conte, R.: Distributed artificial intelligence and social science: Critical issues. In: O’Hare, G.M.P., Jennings, N.R. (eds.) Foundations of Distributed Artificial Intelligence, pp. 527–542. John Wiley & Sons, Inc, Chichester (1996)

    Google Scholar 

  12. Hechter, M.: The Microfoundations of Macrosociology. Temple University Press, Philadelphia (1983)

    Google Scholar 

  13. Collins, R.: On the microfoundations of macrosociology. American Journal of Sociology 86, 984–1010 (1981)

    Article  Google Scholar 

  14. Coleman, J.: Microfoundations and macrosocial behavior. [22] 153–173

    Google Scholar 

  15. Coleman, J.: Foundations of Social Theory. The Belknap Press, Cambridge (1990)

    Google Scholar 

  16. Russel, S.J., Norvig, P.: Artificial Intelligence — A Modern Approach, 2nd edn. Prentice Hall, Englewood Cliffs (2003)

    Google Scholar 

  17. Wooldridge, M.J., Jennings, N.R. (eds.): ECAI 1994 and ATAL 1994. LNAI, vol. 890. Springer, Heidelberg (1995)

    MATH  Google Scholar 

  18. Johnson, W., Hayes-Roth, B.: Proceedings of the First International Conference on Autonomous Agents. ACM Press, Marina del Rey (1997)

    Book  Google Scholar 

  19. Gerstein, D.: To unpack micro and macro: Link small with large and part with whole. [22] 86–11

    Google Scholar 

  20. Münch, R., Smelser, N.J.: Relating the micro and macro. [22] 356–387

    Google Scholar 

  21. Ritzer, G.: Sociological Theory, 4th edn. McGraw-Hill, New York (1996)

    Google Scholar 

  22. Alexander, J., Giesen, B., Münch, R., Smelser, N. (eds.): The Micro-Macro Link. University of California Press, Berkeley (1987)

    Google Scholar 

  23. Huber, J. (ed.): Macro-Micro Linkages in Sociology. Sage Publications, Newbury Park (1991)

    Google Scholar 

  24. Knorr-Cetina, K., Cicourel,K.: (eds.): Advances in Social Theory and Methodology. Methuen, New York (1981)

    Google Scholar 

  25. Wiley, N.: The micro-macro problem in social theory. Sociological Theory 6, 254–261 (1988)

    Article  Google Scholar 

  26. Kemeny, J.: Perspectives on the micro-macro distinction. Sociological Review 24, 731–752 (1976)

    Google Scholar 

  27. Alexander, J.: Action and its environments. [22] 289–318

    Google Scholar 

  28. Blau, P.: Contrasting theoretical perspectives. [22] 71–85

    Google Scholar 

  29. Coleman, J.: Social theory, social research, and a theory of action. American Journal of Sociology 91, 1309–1335 (1986)

    Article  Google Scholar 

  30. Weiß, G. (ed.): Multi-Agent Systems: A Modern Approach to Distributed Artificial Intelligence. MIT Press, Cambridge (1999)

    Google Scholar 

  31. Nwana, H.S.: Software agents: An overview. Knowledge Engineering Review, 205–244 (1996)

    Google Scholar 

  32. Schillo, M., Fischer, K., Klein, C.: The micro-macro link in DAI and sociology. [50]

    Google Scholar 

  33. Sandholm, T.: Distributed rational decision making. [30]

    Google Scholar 

  34. Yamagishi, T.: The provision of a sanctioning system as a public good. Journal of Personality and Social Psychology 51, 110–116 (1986)

    Article  Google Scholar 

  35. Langton, C.G., ed.: Artificial Life I (ALIFE-87): 1st Interdisciplinary Workshop on the Synthesis and Simulation of Living Systems, Los Alamos, NM, USA. Addison-Wesley, Reading (1989)

    Google Scholar 

  36. Sichman, J.S., Conte, R., Castelfranchi, C., Demazeau, Y.: A social reasoning mechanism based on dependence networks. In: Cohn, A.G. (ed.) Proc. of the 11th European Conf. on Artificial Intelligence, ECAI 1994 (1994)

    Google Scholar 

  37. Castelfranchi, C., Falcone, R.: Principles of trust for MAS: Cognitive anatomy, social importance, and quantification. In: Demazeau, Y. (ed.) Proc. of the 3rd Int. Conf. on Multi-Agent Systems, ICMAS 1998 (1998)

    Google Scholar 

  38. Durfee, E.: Scaling up agent coordination strategies. IEEE Computer 34, 39–46 (2001)

    Google Scholar 

  39. Fischer, K., Schillo, M., Siekmann, J.: Holonic multiagent systems: The foundation for the organization of multiagent systems. In: Mařík, V., McFarlane, D.C., Valckenaers, P. (eds.) HoloMAS 2003. LNCS (LNAI), vol. 2744, pp. 71–80. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  40. Schillo, M., Fischer, K., Siekmann, J.: The link between autonomy and organisation in multiagent systems. In: Mařík, V., McFarlane, D.C., Valckenaers, P. (eds.) HoloMAS 2003. LNCS (LNAI), vol. 2744, pp. 81–90. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  41. Rosenschein, J.S., Zlotkin, G.: Rules of Encounter: Designing Conventions for Automated Negotiation among Computers. MIT Press, Cambridge (1994)

    Google Scholar 

  42. Fischer, K., Müller, J.P., Pischel, M.: A model for cooperative transportation scheduling. In: Proceedings of the 1st International Conference on Multiagent Systems (ICMAS 1995), San Francisco, pp. 109–116 (1995)

    Google Scholar 

  43. Schillo, M., Kray, C., Fischer, K.: The eager bidder problem: A fundamental problem of DAI and selected solutions. In: Proceedings of the First International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2002), pp. 599–608 (2002)

    Google Scholar 

  44. Lesser, V., Decker, K., Wagner, T., Carver, N., Garvey, A., Horling, B., Neiman, D., Podorozhny, R., Nagendra Prasad, M., Raja, A., Vincent, R., Xuan, P., Zhang, X.Q.: Evolution of the GPGP/TAEMS domain-independent coordination framework. Autonomous Agents and Multi-Agent Systems 9, 87–143 (2004)

    Article  Google Scholar 

  45. Klusch, M.: Agent-mediated trading: Intelligent agents and e-business. In: Hayzelden, A., Bourne, R. (eds.) Agent Technology applied to Networked Systems.John Wiley & Sons, Chichester (2000)

    Google Scholar 

  46. Klusch, M.: Information agent technology for the internet: A survey. In: Fensel, D. (ed.) Journal on Data and Knowledge Engineering, Special Issue on Intelligent Information Integration, vol. 36. Elsevier Science, Amsterdam (2001)

    Google Scholar 

  47. Turner, P.J., Jennings, N.R.: Improving the scalability of multi-agent systems. In: Proc. 1st Int. Workshop on Infrastructure for Scalable Multi-Agent Systems, Barcelona, Spain (2000)

    Google Scholar 

  48. Wellman, B., Berkowitz, S. (eds.): Social Structures: A Network Approach. Cambridge University Press, Cambridge (1988)

    Google Scholar 

  49. House, R., Rousseau, D., Thomas-Hunt, M.: The meso paradigm: A framework for the integration ofmicro and macro organizational behavior. Research in Organizational Behavior 17, 71–114 (1995)

    Google Scholar 

  50. Moss, S., Davidsson, P. (eds.): MABS 2000. LNCS (LNAI), vol. 1979. Springer, Heidelberg (2000)

    Google Scholar 

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Author information

Authors and Affiliations

  1. German Research Center for Artificial Intelligence (DFKI) GmbH, Stuhlsatzenhausweg 3, 66123, Saarbrücken, Germany

    Klaus Fischer

  2. Department of Technology Assessment, Hamburg University of Technology, Schwarzenbergstraße 95, 21071, Hamburg, Germany

    Michael Florian

Authors
  1. Klaus Fischer
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  2. Michael Florian
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Editor information

Editors and Affiliations

  1. DFKI GmbH, Saarbrücken, Germany

    Klaus Fischer

  2. Department of Technology Assessment, Hamburg University of Technology, Schwarzenbergstrasse 95, 21071, Hamburg, Germany

    Michael Florian

  3. Department of Technology Assessment, Hamburg University of Technology, Schwarzenbergstr. 95, 21071, Hamburg, Germany

    Thomas Malsch

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Fischer, K., Florian, M. (2005). Contribution of Socionics to the Scalability of Complex Social Systems: Introduction. In: Fischer, K., Florian, M., Malsch, T. (eds) Socionics. Lecture Notes in Computer Science(), vol 3413. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11594116_1

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  • DOI: https://doi.org/10.1007/11594116_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30707-5

  • Online ISBN: 978-3-540-31613-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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