Encyclopedia of Operations Research and Management Science

2001 Edition
| Editors: Saul I. Gass, Carl M. Harris

Computational organization theory

  • Kathleen M. Carley
  • William A. Wallace
Reference work entry
DOI: https://doi.org/10.1007/1-4020-0611-X_143

INTRODUCTION

The discipline of computational organization theory (COT) focuses on theorizing about, describing, understanding, and predicting the behavior of organizations and the process of organizing using formal approaches (computational, mathematical and logical models). This research includes the development, testing and analysis of computational models, and the development and testing of computational techniques particularly suited to organizational analysis. These computational abstractions are incorporated into organizational practice through tools, procedures, measures and knowledge.

The notion of organizations in this field spans groups, teams, societies, corporations, industries, and governments (e.g., see Carley and Prietula, 1994; Prietula, Carley and Gasser, 1998; Gilbert and Doran, 1994). The two generic types of organizations considered are the human and the artificial. Human organizations continually acquire, manipulate, and produce information (and possibly other...

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References

  1. [1]
    Baligh, H. H., Burton, R. M., and Obel, B. (1990). “Devising Expert Systems in Organization Theory: The Organizational Consultant,” in Organization, Management, and Expert Systems, M. Masuch, ed., Walter De Gruyer, Berlin.Google Scholar
  2. [2]
    Baum, J. and Oliver, C. (1991). “Institutional Linkages and Organizational Mortality,” Administrative Science Quarterly, 36, 187–218.Google Scholar
  3. [3]
    Bond, A. and Gasser, L., eds. (1988). Readings in Distributed Artificial Intelligence, Kaufmann, San Mateo, California.Google Scholar
  4. [4]
    Burt, R. (1992). Structural Holes: The Social Structure of Competition, Harvard University Press, Boston.Google Scholar
  5. [5]
    Burton, R. M. and Obel, B. (1996). “Organization,” in Encyclopedia of Operations Research and Management Science, S. I. Gass and C. M. Harris, eds., Kluwer Academic Publishers, Norwood, Massachusetts.Google Scholar
  6. [6]
    Carley, K. M. (1992). “Organizational Learning and Personnel Turnover,” Organization Science, 3(1) 20–46.Google Scholar
  7. [7]
    Carley, K. M. and Svoboda, David M. (1996). “Modeling Organizational Adaptation as a Simulated Annealing Process,” Sociological Methods and Research, 25, 138–168.Google Scholar
  8. [8]
    Carley, K. M. and Gasser, L. (forthcoming). “Computational Organization Theory,” in Distributive Artificial Intelligence, Gerhard Weiss ed., MIT Press, Cambridge, Massachusetts. Google Scholar
  9. [9]
    Carley, K. M. and Prietula, M. J., eds. (1994). Computational Organization Theory, Lawrence Erlbaum Associates, Hillsdale, New Jersey.Google Scholar
  10. [10]
    Carley, K. M. and Newell, A. (1994). “The Nature of the Social Agent,” Jl. Mathematical Sociology, 19, 221–262.Google Scholar
  11. [11]
    Carley, K. M. and Prietula, M. J. (1994). “ACTS Theory: Extending the Model of Bounded Rationality,” in K. M. Carley and M. J. Prietula eds., Computational Organization Theory, Lawrence Erlbaum Associates, Hillsdale, New Jersey.Google Scholar
  12. [12]
    Carley, K. M. (1995). “Computational and Mathematical Organization Theory: Perspective and Directions,” Computational and Mathematical Organization Theory, 1(1), 39–56.Google Scholar
  13. [13]
    Cohen, M. D. (1986). “Artificial Intelligence and the Dynamic Performance of Organizational Designs,” in Ambiguity and Command: Organizational Perspectives on Military Decision Making, J. G. March and R. Weissinger-Baylon eds., Pitman, Marshfield, Massachusetts.Google Scholar
  14. [14]
    Cyert, R. and March, J. G. (1963). A Behavioral Theory of the Firm, Prentice-Hall, Englewood Cliffs, New Jersey.Google Scholar
  15. [15]
    Decker, K. (1995). “A Framework for Modeling Task Environment,” Environment-Centered Analysis and Design of Coordination Mechanisms, Ph.D. Dissertation, University of Massachusetts. Google Scholar
  16. [16]
    Decker, K. (1996). “TAEMS: “A Framework for Environment Centered Analysis and Design of Coordination Mechanisms,” in Foundations of Distributed Artificial Intelligence, G. M.P. O'Hare and N. R. Jennings, eds., John Wiley, New York.Google Scholar
  17. [17]
    Durfee, E. H. and Montgomery, T. A. (1991). “Coordination as Distributed Search in a Hierarchical Behavior Space,” IEEE Transactions on Systems, Man, and Cybernetics, 21, 1363–1378.Google Scholar
  18. [18]
    Galbraith, J. (1973). Designing Complex Organizations, Addison-Wesley, Reading, Massachusetts.Google Scholar
  19. [19]
    Gasser, L. and Majchrzak, A. (1994). “ACTION Integrates Manufacturing Strategy, Design, and Planning,” in Ergonomics of Hybrid Automated Systems, IV, P. Kidd and W. Karwowski, eds., IOS Press, Netherlands.Google Scholar
  20. [20]
    Gasser, L. and Huhns, M. N., eds. (1989). Distributed Artificial Intelligence, Vol. 2, Morgan Kaufmann, New York.Google Scholar
  21. [21]
    Gilbert, N. and Doran, J., eds. (1994). Simulating Societies: The Computer Simulation of Social Phenomena, UCL Press, London.Google Scholar
  22. [22]
    Granovetter, M. (1985). “Economic Action and Social Structure: The Problem of Embeddedness,” American Jl. Sociology, 91, 481–510.Google Scholar
  23. [23]
    Hannan, M. T. and Freeman, J. (1989). Organizational Ecology, Harvard University Press, Cambridge, Massachusetts.Google Scholar
  24. [24]
    Hannan, M. T. and Freeman, J. (1977). “The Population Ecology of Organizations,” American Jl. Sociology, 82, 929–964.Google Scholar
  25. [25]
    Holland, J. H. (1975). Adaptation in Natural and Artificial Systems, University of Michigan Press, Ann Arbor, Michigan.Google Scholar
  26. [26]
    Kaplan, D. J. and Carley, K. M. (1998). “An Approach to Modeling Communication Technology in Organizations,” in Simulating Organizations: Computational Models of Institutions and Groups, M. Prietula, K. Carley and L. Gasser eds., AAAI Press/The MIT Press, Boston, Massachusetts.Google Scholar
  27. [27]
    Kaufer, D. S. and Carley, K. M. (1993). Communication at a Distance: The Effect of Print on Socio-Cultural Organization and Change, Lawrence Erlbaum Associates, Hillsdale, New Jersey.Google Scholar
  28. [28]
    Krackhardt, D. (1987). “Cognitive Social Structures,” Social Networks, 9, 109–134.Google Scholar
  29. [29]
    Lesser, V. R., Durfee, E. D., and Corkill, D. D. (1987). “Coherent Cooperations Among Communicating Problem Solvers,” IEEE Transactions on Computers, C-36, 1275–1291.Google Scholar
  30. [30]
    Lesser, D. D. and Corkill, D. D. (1988). “Functionally Accurate, Cooperative Distributed Systems,” in Readings in Distributed Artificial Intelligence, A. H. Bond and L. Gasser, eds., Morgan Kaufmann, Inc., San Mateo, California.Google Scholar
  31. [31]
    Levinthal, D. and March, J. G. (1981). “A Model of Adaptive Organizational Search,” Jl. Economic Behavior and Organization, 2, 307–333. Google Scholar
  32. [32]
    Levitt, R. E., Cohen, G. P., Kunz, J. C., Nass, C. I., Christiansen, T., and Jin, Y. (1994). “The ‘Virtual Design' Team: Simulating How Organization Structure and Information Processing Tools Affect Team Performance,” in Computational Organization Theory, K. M. Carley and M. J. Prietula, eds., Lawrence Erlbaum Associates, Hillsdale, New Jersey.Google Scholar
  33. [33]
    Malone, T. W. (1986). “Modeling Coordination in Organizations and Markets,” Management Science, 33, 1317–1332.Google Scholar
  34. [34]
    March, J. and Simon, H. (1958). Organizations, John Wiley, New York.Google Scholar
  35. [35]
    Masuch, M. and LaPotin, P. (1989). “Beyond Garbage Cans: An AI Model of Organizational Choice,” Administrative Science Quarterly, 34, 38–67.Google Scholar
  36. [36]
    Masuch, M. (1990). Organization, Management and Expert Systems: Models of Automated Reasoning, Walter de Gruyter, Berlin, New York.Google Scholar
  37. [37]
    Mezias, S. J. and Glynn, M. A. (1995). “Using Computer Simulation to Understand the Management of Technology: Applications for Theory Development,” Technology Studies, 2, 175–208.Google Scholar
  38. [38]
    Nersessian, N. J. (1992). “How do Scientists Think? Capturing the Dynamics of Conceptual Change in Science,” in Cognitive Models of Science, Vol. XV, R. N. Giere, ed., Minnesota Press, Minneapolis, Minnesota.Google Scholar
  39. [39]
    Pfeffer, J. and Salancik, G. R. (1978). The External Control of Organizations: A Resource Dependence Perspective, Harper and Row, New York.Google Scholar
  40. [40]
    Powell, W. W. and DiMaggio, P. J. (1991). The New Institutionalism in Organizational Analysis, University of Chicago Press, Chicago, Illinois.Google Scholar
  41. [41]
    Prietula, M. J., Carley, K. M., and Gasser, L., eds. (1998). Simulating Organizations: Computational Models of Institutions and Groups, AAAI Press/The MIT Press, Menlo Park, California.Google Scholar
  42. [42]
    Salanick, G. R. and Leblebici, H. (1998). “Variety and Form in Organizing Transactions: A Generative Grammar of Organization,” Research in the Sociology of Organizations, 6, 1–31.Google Scholar
  43. [43]
    Simon, H. A. (1947). Administrative Behavior, Free Press, New York.Google Scholar
  44. [44]
    Stuart, T. E. and Podolny, J. M. (1996). “Local Search and the Evolution of Technological Capabilities,” Strategic Management Jl., 17, 21–38.Google Scholar
  45. [45]
    Thompson, J. D. (1967). Organizations in Action, McGraw-Hill, New York.Google Scholar
  46. [46]
    Waisel, L., Wallace, W. A., and Willemain, T. (1998). “Using Diagrammatic Reasoning in Mathematical Modeling: The Sketches of Expert Modelers,” Proceedings of the AAAI 1997 Fall Symposium on Reasoning with Diagrammatic Representations II, AAAI Press, Menlo Park, California.Google Scholar
  47. [47]
    Wasserman, S. and Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press, New York.Google Scholar
  48. [48]
    Wasserman, S. and Galaskiewicz, J., eds. (1994). Advances in Social Network Analysis: Research in the Social and Behavioral Sciences, Sage, Thousand Oaks, California.Google Scholar

Copyright information

© Kluwer Academic Publishers 2001

Authors and Affiliations

  • Kathleen M. Carley
    • 1
  • William A. Wallace
    • 2
  1. 1.Carnegie Mellon UniversityPittsburghUSA
  2. 2.Rensselaer Polytechnic InstituteTroyUSA