Contribution to Enterprise Intelligent Systems Architecture: Assumptions, Expectations and a Proposal

Abstract

Currently, enterprise intelligent systems are built without expressed assumptions likely to enable harmonizing the field and correctly attributing the intelligence label to enterprise systems within the way they are built. In the present paper we propose three base assumptions for an enterprise intelligent system architecture as related to 1) Cognitive Enterprise, 2) Embodied Cognition and 3) Agent Paradigm. The aim is to open up possibility to deal with intelligence at the early stages of enterprise architecture and related disciplines such as system engineering and software development. In addi-tion, we suggest possible expectations from Enterprise Intelligent Systems Architecture and propose an architectural frame based on the cognitive architecture CogAff. Compared with similar works, we noted differences in the fact that our work takes into consideration the cognitive aspect of the firm and the general aspect of intelligence.

Share and Cite:

A. Mouzoune, "Contribution to Enterprise Intelligent Systems Architecture: Assumptions, Expectations and a Proposal," Intelligent Information Management, Vol. 4 No. 6, 2012, pp. 311-318. doi: 10.4236/iim.2012.46035.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] ICAES 2013, “International Workshop on Informatics for Intelligent Context-Aware Enterprise Systems,” 2012. http://conference.researchbib.com/?eventid=19587
[2] D. H. Liles, M. E. Johnson, L. Meade and D. R. Underdown, “Enterprise Engineering: A Discipline?” Society for Enterprise Engineering Conference Proceedings, Vol. 6, 1995, pp. 45-47.
[3] D. J. Nightingale and D. H. Rhodes, “Enterprise Systems Architecting: Emerging Art and Science within Engineering Systems,” Proceedings of the ESD External Symposium Session VI, MIT, Cambridge, 31 March 2004. http://esd.mit.edu/symposium/pdfs/papers/nightingale.pdf
[4] Z. Shi, “Foundations of Intelligence Science,” International Journal of Intelligence Science, Vol. 1, No. 1, 2011, pp. 8-16. doi:10.4236/ijis.2011.11002
[5] M. Anderson, “Marrying Intelligence and Cognition,” In: R. J. Sternberg and J. E. Pretz, Eds., Cognition and Intelligence, Cambridge University Press, New York, 2005, pp. 268-287.
[6] V. G. Ivancevic and T. T. Ivancevic, “Computational Mind: A Complex Dynamics Perspective,” Studies in Computational Intelligence, Vol. 60, 2007, p. 70. doi:10.1007/978-3-540-71561-0
[7] A. Lam, “Organizational Innovation,” 2012. http://mpra.ub.uni-muenchen.de/11539
[8] J. Dobson, “Theory of the Firm,” Economics and Philosophy, Vol. 10, No. 1, 2008, pp. 73-89. doi:10.1017/S0266267100001723
[9] P. Walker, “The Past and Present of the Theory of the Firm,” SSRN eLibrary, 2012.
[10] B. Nooteboom, “A Cognitive Theory of the Firm,” Workshop on Theories of the Firm, Paris, November 2002, 23 p. http://esnie.org/pdf/ws_2002/Nooteboom.pdf
[11] J. A. Nickerson and T. R. Zenger, “A Knowledge-Based Theory of the Firm—The Problem-Solving Perspective,” Organization Science, Vol. 15, No. 6, 2004, pp. 617-632. doi:10.1287/orsc.1040.0093
[12] R. R. Nelson and S. G. Winter, “An Evolutionary Theory of Economic Change,” Harvard University Press, Cambridge, 1982.
[13] B. D. Jones, “Bounded Rationality,” Annual Review of Political Science, Vol. 2, No. 1, 1999, pp. 297-321. doi:10.1146/annurev.polisci.2.1.297
[14] G. Gavetti, “Cognition and Hierarchy: Rethinking the Microfoundations of Capabilities’ Development,” Organization Science, Vol. 16, No. 6, 2005, pp. 599-617. doi:10.1287/orsc.1050.0140
[15] M. Gerber, “The E-myth Revisited,” HarperCollins, 1995. http://www.smallbusinesshq.com.au/factsheet/20305-tips-on-strategic-tactical-and-operational-decision-making.htm
[16] J. C. Kaufman, S. B. Kaufman and J. A. Plucker, “Contemporary Theories of Intelligence,” In: D. Reisberg, Ed., Oxford Handbook of Cognitive Psychology, Oxford University Press, Oxford, 2013. http://scottbarrykaufman.com/wp-content/uploads/2011/06/Kaufman-Kaufman-Plucker-in-press.pdf
[17] N. Streitz and P. Nixon, “The Disappearing Computer,” Communications of the ACM, Vol. 48, No. 3, 2005, pp. 32-35. doi:10.1145/1047671.1047700
[18] A. Chatterjee, “Disembodying Cognition,” Language and Cognition, Vol. 2, No. 1, 2010, p. 79.
[19] M. Wilson, “Six Views of Embodied Cognition,” Psychonomic Bulletin & Review, Vol. 9, No. 4, 2002, pp. 625-636. doi:10.3758/BF03196322
[20] W. Duch, R. J. Oentaryo and M. Pasquier, “Cognitive Architectures: Where Do We Go from Here?” In: P. Wang, B. Goertzel and S. Franklin, Eds., Frontiers in Artificial Intelligence and Applications, Artificial General Intelligence 2008—Proceedings of the First AGI Conference. Vol. 171, 2008, pp. 122-136.
[21] D. Kieras, “A Survey of Cognitive Architectures,” 2005. http://www.cs.cmu.edu/~bej/CognitiveModelingForUIDesign/2b_Architecture_Survey.pdf
[22] A. Sloman and M. Scheutz, “A Framework for Comparing Agent Architectures,” Proceedings of the UK Workshop on Computational Intelligence, Birmingham, September 2002.
[23] P. Langley, “Cognitive Architectures and General Intelligent Systems,” AI Magazine, Vol. 27, No. 2, 2006, pp. 33-44.
[24] A. Newell, “Unified Theories of Cognition,” Harvard University Press, Cambridge, 1994.
[25] C. Morley, D. Berthier and M. Maurice, “Contribution of the Agent Paradigm to Master Information Systems,” Proceedings of the 10th Conference of the AIM (Association Information and Management), Toulouse, 21-23 September 2005.
[26] J. Jakie?a and B. Pomianek, “Agent Orientation as a Toolbox for Organizational Modeling and Performance Improvement,” International Book Series—Information Science & Computing, No. 13 Supplement to the International Journal—Information Technologies & Knowledge, Vol. 3, Bulgaria, 2009, p. 113.
[27] O. Lamouchi, A. Ramdane-Cherif and N. Lévy, “Enterprise Architecture Modeling Using Agent Paradigm,” ISTA, Vol. 48, 2004, pp. 213-219.
[28] J. Kelemen, “The Agent Paradigm,” Computing and Informatics, Vol. 22, No. 6, 2004, pp. 513-520.
[29] “The American Heritage Dictionary of the English Language,” 4th Edition, Houghton Mifflin Company, Boston, 2000.
[30] A. Mouzoune, “Towards an Intelligence Based Conceptual Framework for E-Maintenance,” 2012.
[31] D. Nightingale, “Principles of Enterprise Systems,” Second International Symposium on Engineering Systems, MIT, Cambridge, 15-17 June 2009.
[32] G. Setlak and S. Pieczonka, “Design Concept of Intelligent Management Systems,” International Book Series— Information Science & Computing, No. 13 Supplement to the International Journal—Information Technologies & Knowledge, Vol. 3, Bulgaria, 2009, p. 142.
[33] R. M. Sonar, “An Enterprise Intelligent System Development and Solution Framework,” International Journal of Applied Science, Engineering and Technology, Vol. 4, No. 1, 2007, pp. 1307-4318.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.