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A proposed foundation for a theory of combat

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  • C. J. Ancker

Abstract

Physical phenomena and the structure of corresponding theories are used as a guide to examine the nature of combat and combat theory. The status of combat theory with special emphasis on modeling is scrutinized and found to be seriously deficient. We assert that present knowledge and experience show two statements are worthy of consideration as basic axioms in a theory of combat. The direction of future research is discussed. © 1995 John Wiley & Sons, Inc.

Suggested Citation

  • C. J. Ancker, 1995. "A proposed foundation for a theory of combat," Naval Research Logistics (NRL), John Wiley & Sons, vol. 42(3), pages 311-343, April.
    • Handle: RePEc:wly:navres:v:42:y:1995:i:3:p:311-343
    DOI: 10.1002/nav.3220420303
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    References listed on IDEAS

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    1. C. J. Ancker & A. V. Gafarian, 1988. "Erratum. The validity of assumptions underlying current uses of lanchester attrition rates," Naval Research Logistics (NRL), John Wiley & Sons, vol. 35(5), pages 534-534, October.
    2. Joseph J. Schoderbek, 1962. "Some Weapon System Survival Probability Models---I. Fixed Time Between Firings," Operations Research, INFORMS, vol. 10(2), pages 155-167, April.
    3. Joseph J. Schoderbek, 1962. "Some Weapon System Survival Probability Models---II. Random Time Between Firings," Operations Research, INFORMS, vol. 10(2), pages 168-179, April.
    4. Franklin C. Brooks, 1965. "The Stochastic Properties of Large Battle Models," Operations Research, INFORMS, vol. 13(1), pages 1-17, February.
    5. C. Bernard Barfoot, 1989. "Continuous‐time markov duels: Theory and application," Naval Research Logistics (NRL), John Wiley & Sons, vol. 36(3), pages 243-253, June.
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    Cited by:

    1. Michael J. Armstrong, 2005. "A Stochastic Salvo Model for Naval Surface Combat," Operations Research, INFORMS, vol. 53(5), pages 830-841, October.
    2. Michael J. Armstrong, 2004. "Effects of lethality in naval combat models," Naval Research Logistics (NRL), John Wiley & Sons, vol. 51(1), pages 28-43, February.
    3. Chen, Lei & Kou, Yingxin & Li, Zhanwu & Xu, An & Wu, Cheng, 2018. "Empirical research on complex networks modeling of combat SoS based on data from real war-game, Part I: Statistical characteristics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 754-773.
    4. N E Ozdemirel & L Kandiller, 2006. "Semi-dynamic modelling of heterogeneous land combat," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(1), pages 38-51, January.
    5. Ken R. McNaught, 2002. "Markovian models of three‐on‐one combat involving a hidden defender," Naval Research Logistics (NRL), John Wiley & Sons, vol. 49(7), pages 627-646, October.
    6. Gregory Levitin & Kjell Hausken, 2012. "Resource Distribution in Multiple Attacks with Imperfect Detection of the Attack Outcome," Risk Analysis, John Wiley & Sons, vol. 32(2), pages 304-318, February.
    7. Hausken, Kjell & Moxnes, John F., 2002. "Stochastic conditional and unconditional warfare," European Journal of Operational Research, Elsevier, vol. 140(1), pages 61-87, July.
    8. Thomas W. Lucas & John E. McGunnigle, 2003. "When is model complexity too much? Illustrating the benefits of simple models with Hughes' salvo equations," Naval Research Logistics (NRL), John Wiley & Sons, vol. 50(3), pages 197-217, April.
    9. Gregory Levitin & Kjell Hausken, 2010. "Resource Distribution in Multiple Attacks Against a Single Target," Risk Analysis, John Wiley & Sons, vol. 30(8), pages 1231-1239, August.

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