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1. 2. 3. 4. 5. 6. 7. © Simulation Versus Optimization In Knowledge-Induced Fields Choudhury, MA; Korvin, G EMERALD, KYBERNETES; pp: 44-60; Vol: 31 King.

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Presentation on theme: "1. 2. 3. 4. 5. 6. 7. © Simulation Versus Optimization In Knowledge-Induced Fields Choudhury, MA; Korvin, G EMERALD, KYBERNETES; pp: 44-60; Vol: 31 King."— Presentation transcript:

1 1. 2. 3. 4. 5. 6. 7. © Simulation Versus Optimization In Knowledge-Induced Fields Choudhury, MA; Korvin, G EMERALD, KYBERNETES; pp: 44-60; Vol: 31 King Fahd University of Petroleum & Minerals http://www.kfupm.edu.sa Summary Pervasive complementarity among agents, variables and their relations is a strong manifestation of unity in the real world. It is explained in various ways within scientific systems and in alternative ways of viewing resource allocation from that in neoclassical economic theory and its various prototypes. Complementarity among goods, services and factors in neoclassical resource allocation is simply a localized phenomenon. Despite this, bundles of similar goods collect together to re-establish marginal substitution with other bundles. In systems science, the cessation of complementarity among variables causes the demise of process. Indeed, the most significant influence of economic complementarity is to be found in decision-making systems. Here strongly interactive ethical principles showing pervasive and strong complementarity reveal themselves. Hence a knowledge-induced scientific methodology emerges. Yet these scientific dynamic methods that are merely premised on time-phase, are found to be inadequate in explaining pervasive interactions. Instead, simulation methods reveal important and interesting results premised on the epistemological premise of systemic unity and interactions. We will examine these questions in this paper with respect to the optimal control problem of the calculus of variations, and for multi-objective decision problems. References: ANWAR M, 1987, MODELING INTEREST FR ARROW KJ, 1970, PUBLIC INVESTMENT RA BATIZSOLORZANO S, THESIS RICE U HOUSTO BECKER GS, 1908, SOCIAL EC NEW PALGRA, P64 BELIS M, 1968, IEEE T INFORM THEORY, V14, P593 CHOUDHURY MA, 1992, FDN ISLAMIC POLITICA CHOUDHURY MA, 1993, UNICITY PRECEPT SOCI Copyright: King Fahd University of Petroleum & Minerals; http://www.kfupm.edu.sa

2 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. 26. 27. 28. 29. 30. 31. 32. © CHOUDHURY MA, 1999, KYBERNETES, V28, P763 GEORGESCUROEGEN N, 1971, ENTROPY LAW EC PROCE GRANDMONT JM, 1989, NEW PALGRAVE GEN EQU, P297 GUIASU S, 1977, INFORMATION THEORY A HAMMOND PJ, 1987, ARROW FDN THEORY EC, P1179 HEILBRONER R, 1995, CRISIS VISION MODERN, P118 HEISENBERG W, 1958, PHYSICS PHILOS REVOL HENDERSON JM, 1971, MICROECONOMIC THEORY, P140 HUBNER K, 1983, CRITIQUE SCI REASON, P107 HULL DL, 1990, SCI PROCESS INTRILLIGATOR MD, 1971, MATH OPTIMIZATION EC, P306 KAFATOS M, 1990, CONSCIOUS U KANT I, 1964, GROUNDWORK METAPHYSI LASALLE J, 1961, STABILITY LIAPUNOVS, P31 NORGAARD RB, 1999, ENCY POLITICAL EC, V1, P290 PARETO V, 1896, COURSE EC POLITIQUE PONTRYAGIN LS, 1962, MATH THEORY OPTIMAL RAIFFA H, 1970, DECISION ANAL RAWLS J, 1971, THEORY JUSTICE SHAKUN MF, 1988, EVOLUTIONARY SYSTEMS SMITH TS, 1992, STRONG INTERACTION, P200 VONMISES L, 1960, EPISTEMOLOGICAL PROB VONNEUMANN J, 1953, THEORY GAMES EC BEHA ZELENY M, 1973, MULTIPLE CRITERIA DE ZELENY M, 1974, LINEAR MULTIOBJECTIV For pre-prints please write to: abstracts@kfupm.edu.sa Copyright: King Fahd University of Petroleum & Minerals; http://www.kfupm.edu.sa


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