Advertisement

Group Decisions and Negotiations in the Knowledge Civilization Era

  • Andrzej P. Wierzbicki
Chapter
Part of the Advances in Group Decision and Negotiation book series (AGDN, volume 4)

Abstract

In this essay, the concept of the knowledge civilization era and its features are discussed: the informational revolution, the dematerialization of work, the conceptual revolution, the change of episteme. New micro-theories of knowledge creation are presented, as in an evolutionary theory of intuition and its impacts on negotiations. The issue of objective ranking is discussed. Other examples of conceptual change concern the multimedia principle, the emergence principle and a general spiral of evolutionary knowledge creation. The conclusions stress the need of new concepts and approaches within the theory of group decisions and negotiation. This chapter is related to chapters by Bryant, Carlson, and Salo and Hämäläinen, this volume.

Keywords

Informational revolution Knowledge civilization Dematerialization of work Micro-theories of knowledge creation Intuition and negotiations Objective ranking Foundations of a new episteme 

References

  1. Bard A, Söderqvist J (2002) Netocracy: the new power elite and life after capitalism, Pearson education. EdinburghGoogle Scholar
  2. Bergson H (1903) Introduction to Metaphysics (originally an essay in the Revue de Metaphysique et de Morale, 1903, English translation 1911, New York)Google Scholar
  3. Black HS (1934) Stabilized feedback amplifiers. Bell Syst Tech J 13; Electr Eng 53:1311–12Google Scholar
  4. Braudel F (1979) Civilisation matérielle, économie et capitalisme, XV–XVIII siècle. Armand Colin, ParisGoogle Scholar
  5. Bush V (1931) The differential analyzer. a new machine for solving differential equations. J Franklin Inst 212:447–488CrossRefGoogle Scholar
  6. Checkland PB (1978) The origins and nature of “Hard” systems thinking. J Appl Syst Anal 5:99Google Scholar
  7. Checkland PB (1982) Soft systems methodology as a process: a reply to M.C. Jackson. J Appl Syst Anal 49:37Google Scholar
  8. Dreyfus H, Dreyfus S (1986) Mind over machine: the role of human intuition and expertise in the era of computers. Free Press, New York, NYGoogle Scholar
  9. Dusek V (2006) Philosophy of technology: an introduction. Blackwell, OxfordGoogle Scholar
  10. Forrester JW (1961) Industrial dynamics. MIT Press, Cambridge, MAGoogle Scholar
  11. Foucault M (1972) The order of things: an archeology of human sciences. Routledge, New York, NYGoogle Scholar
  12. Gasson S (2004) The management of distributed organizational knowledge. In: Sprague RJ (ed) Proceedings of the 37th Hawaii international conference on systems sciences (HICSS 37). IEEE Computer Society Press, Los Alamitos, CAGoogle Scholar
  13. Granat J, Makowski M, Wierzbicki AP (2006) Hierarchical reference approach to multi-criteria analysis of discrete alternatives. CSM’06: 20th workshop on methodologies and tools for complex system modeling and integrated policy assessment. IIASA, Laxenburg, AustriaGoogle Scholar
  14. Heidegger M (1954) Die Technik und die Kehre. In: Heidegger M (ed) Vorträge und Aufsätze, Günther Neske Verlag, PfullingenGoogle Scholar
  15. Heisenberg W (1927) Über den anschaulichen Inhalt der quantentheoretischen Kinematik und Mechanik. Zeitschrift für Physik 43:172–198CrossRefGoogle Scholar
  16. Husserl E (1973) Cartesianische Meditationen und Pariser Vorträge. [Cartesian meditations and the Paris lectures.] In: Strasser S, Nijhoff M (ed) The Hague, The NetherlandsGoogle Scholar
  17. Ihde D (1976) Listening and voice. Ohio University Press, AthensGoogle Scholar
  18. Ihde D (2002) Bodies in technology. University of Minnesota Press, Minneapolis – LondonGoogle Scholar
  19. Jackson MC (2000) Systems approaches to management. Kluwer Academic – Plenum Publishers, New York, NYGoogle Scholar
  20. Jensen HS, Richter LM, Vendelø MT (2003) The evolution of scientific knowledge. Edward Elgar, CheltenhamGoogle Scholar
  21. Kameoka A, Wierzbicki AP (2005) A vision of new era of knowledge civilization. In: Proceedings of the 1st World Congress of IFSR, Kobe, JapanGoogle Scholar
  22. Keeney R (1992) Value focused thinking, a path to creative decision making. Harvard University Press, Harvard.Google Scholar
  23. Keeney R, Raiffa H (1976) Decisions with multiple objectives: preferences and value Tradeoffs, Wiley, New York, NYGoogle Scholar
  24. Kozakiewicz H (1992) Epistemologia tradycyjna a problemy współczesności. Punkt widzenia socjologa (in Polish, Traditional Epistemology and Problems of Contemporary Times. Sociological Point of View). In: Niżnik J (ed) Pogranicza epistemologii (in Polish, The Boundaries of Epistemology). Wydawnictwo IFiS PANGoogle Scholar
  25. Król Z (2007) The emergence of new concepts in science. In: Wierzbicki AP, Nakamori Y (eds) (2007) Creative Environments, op.cit.Google Scholar
  26. Kuhn TS (1962) The structure of scientific revolutions (2nd ed., 1970). Chicago University Press, ChicagoGoogle Scholar
  27. Kunifuji S, Kawaji T, Onabuta T, Hirata T, Sakamoto R, Kato N (2004) Creativity support systems in JAIST. Proceedings of JAIST Forum 2004: Technology Creation Based on Knowledge Science, pp 56–58Google Scholar
  28. Lakatos I (1976) Proofs and refutations. Cambridge University Press, CambridgeCrossRefGoogle Scholar
  29. Latour B (1987) Science in action. Open University Press, Milton KeynesGoogle Scholar
  30. Laudan R (ed) (1984) The nature of technological knowledge. are models of scientific change relevant? Reidel, DordrechtGoogle Scholar
  31. Locke J (1690) An essay concerning human understanding. Reprint in N Stehr and R Grundmann (2005) (eds) Knowledge: Critical Concepts. Routledge, OxfordGoogle Scholar
  32. Midgley G (2003) Systems thinking. Sage Publications, LondonGoogle Scholar
  33. Mindell DA (2002) Between human and machine: feedback, control and computing before cybernetics. The Johns Hopkins University Press, Baltimore and LondonGoogle Scholar
  34. Nakamori Y, Sawaragi Y (1992) Shinayakana systems approach to modeling and decision support. Proceedings of MCDM 1992 (10th International conference on multiple criteria decision making), vol 2. Taipei, Taiwan, pp 77–86Google Scholar
  35. Nonaka I, Takeuchi H (1995) The knowledge-creating company. How Japanese companies create the dynamics of innovation. Oxford University Press, New York, NYGoogle Scholar
  36. Nyquist H (1932) Regeneration theory. Bell Syst Techn J 11:126–147Google Scholar
  37. Osborn AF (1957) Applied imagination. Scribner, New York, NYGoogle Scholar
  38. Poincare H (1913) The foundations of science (trans: 1946). The Science Press, LancasterGoogle Scholar
  39. Polanyi M (1966) The tacit dimension. Routledge and Kegan, LondonGoogle Scholar
  40. Popper KR (1972) Objective knowledge. Oxford University Press, OxfordGoogle Scholar
  41. Quine WV (1953) Two dogmas of empiricism. In: Benacerraf P, Putnam H (eds) Philosophy of mathematics, Prentice-Hall, Englewood Cliffs, NJ, p 1964Google Scholar
  42. Rawls J (1971) A theory of justice. Belknap Press, Cambridge, MAGoogle Scholar
  43. Saaty T (1982) Decision making for leaders: the analytical hierarchy process for decisions in a complex world. Lifetime Learning Publications, Belmont, CAGoogle Scholar
  44. Snow CP (1960) The two cultures. Cambridge University Press, CambridgeGoogle Scholar
  45. Springer S, Deutsch G (1981) Left brain – Right brain. Freeman, San Francisco, CAGoogle Scholar
  46. Tian J, Wierzbicki AP, Ren H, Nakamori Y (2006) A study on knowledge creation support in a Japanese research institute. Proceedings of 1st international conference on knowledge science, Engineering and Management (KSEM06), Springer, Berlin-Heidelberg, pp 405–417Google Scholar
  47. Toffler A, Toffler H (1980) The third wave. William Morrow, New York, NYGoogle Scholar
  48. Walker MP, Brakefield T, Morgan A, Hobson J, Stickgold R (2003) Practise with sleep makes perfect: sleep dependent motor skill learning. Neuron 35(1):205–211CrossRefGoogle Scholar
  49. Wiener N (1948) Cybernetics or control and communication in the animal and the machine. MIT Press, Cambridge, MAGoogle Scholar
  50. Wierzbicki AP (1980) The use of reference objectives in multiobjective optimization. In: Fandel G, Gal T (eds) Multiple criteria decision making, theory and applications. Lecture notes in economics and mathematical systems 177, Springer, Berlin, pp 468–486CrossRefGoogle Scholar
  51. Wierzbicki AP (1988) Education for a new cultural era of informed reason. In: Richardson JG (ed) Windows of creativity and inventions, Lomond, Mt. Airy, PAGoogle Scholar
  52. Wierzbicki AP (1997) On the role of intuition in decision making and some ways of multicriteria aid of intuition. Mult Criteria Decis Mak 6:65–78CrossRefGoogle Scholar
  53. Wierzbicki AP (2000) Megatrends of information society and the emergence of knowledge science. In: Proceedings of the international conference on virtual environments for advanced modeling, JAIST, TatsunokuchiGoogle Scholar
  54. Wierzbicki AP (2004) Knowledge creation theories and rational theory of intuition. Int J Knowl Syst Sci 1:17–25Google Scholar
  55. Wierzbicki AP (2005) Technology and change: the role of technology in knowledge civilization era. In: Proceedings of the 1st world congress of IFSR, Kobe, JapanGoogle Scholar
  56. Wierzbicki AP, Nakamori Y (2006) Creative space: models of knowledge creation processes for the knowledge civilization age. Springer, Berlin – HeidelbergGoogle Scholar
  57. Wierzbicki AP, Nakamori Y (2007) Creative environments: issues of creativity support for the knowledge civilization age. Springer, Berlin – HeidelbergGoogle Scholar
  58. Wierzbicki AP, Nakamori Y (2007a) The episteme of knowledge civilization. Int J Knowl Syst Sci 4(3):8–20Google Scholar
  59. Wierzbicki AP, Makowski M, Wessels J (2000) Model-based decision support methodology with environmental applications. Kluwer, Boston-DordrechtGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  1. 1.National Institute of TelecommunicationsWarsawPoland

Personalised recommendations