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Ambush and Active Search in Multistage Predator–Prey Interactions

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Abstract

In this paper, we study a multistage search game. The general situation is described as a predator–prey problem as follows: in a certain region there is a predator and a group of prey. The prey have h different places to go to eat, and every day the group goes to one of these places, but all the days, the herd is forced to go to a certain place, W, say to drink. Simultaneously, the predator has to select a strategy to meet the herd of prey and catch one of them, it can use its ambush strategy, which consists of going to place W, and wait there for the herd, or select a search strategy and go to one of the h different places where the herd goes to eat and search for a prey there. When predator and prey meet each other in one place, predator can catch a prey with a probability depending on the place and on the movement of the predators. Since animals require a minimum consumption of energy over time to survive, we suppose that the predator has to catch a minimum number of prey, K, over a number of days, M. We model this problem as a two-person zero-sum multistage game, which we solve in some situations by giving optimal strategies for prey and for predator and the value of the game.

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References

  1. Lima, S.T.: Putting predators back into behavioral predator-prey interactions. Trends Ecol. Evol. 17, 70–75 (2002)

    Article  Google Scholar 

  2. Ruckle, W.H.: Geometric Games and Their Applications. Pitman Advanced Publishing Program, Boston (1983)

  3. Garnaev, A.Y.: Search Games and Other Applications of Game Theory. Lecture Notes in Economics and Mathematical Systems. Springer, Berlin (2000)

    Book  Google Scholar 

  4. Alpern, S., Gal, S.: The Theory of Search Games and Rendezvous. Kluwer International Series in Operations Research and Management Science. Springer, Boston (2003)

    Google Scholar 

  5. Alpern, S., Fokkink, R., Gasieniec, L., Lindelauf, R., Subrahmanian, V.S. (eds.): Search Theory: A Game Theoretic Perspective. Springer, Berlin (2013)

  6. Garnaev, A.Y.: On a Ruckle problem in discrete games of ambush. Nav. Res. Logist. 44, 353–367 (1997)

    Article  MathSciNet  Google Scholar 

  7. Zoroa, N., Zoroa, P., Fernández-Sáez, M.J.: A generalization of Ruckle’s results for an ambush game. Eur. J. Oper. Res. 119, 353–364 (1999)

    Article  Google Scholar 

  8. Zoroa, N., Zoroa, P., Fernández-Sáez, M.J.: A game related to the number of hides game. J. Optim. Theory Appl. 103, 457–473 (2001)

    Article  Google Scholar 

  9. Zoroa, N., Zoroa, P., Fernández-Sáez, M.J.: New results on a Ruckle problem in discrete games of ambush. Nav. Res. Logist. 48, 98–106 (2001)

    Article  Google Scholar 

  10. Kikuta, K., Ruckle, W.H.: Continuous accumulation games on discrete locations. Nav. Res. Logist. 49, 60–77 (2002)

    Article  MathSciNet  Google Scholar 

  11. Garnaev, A.Y.: Find a hidden “treasure”. Nav. Res. Logist. 54, 109–114 (2007). doi:10.1002/nav.201969

    Article  MathSciNet  Google Scholar 

  12. Wooward, I.D.: Discretization of the continuous ambush game. Nav. Res. Logist. 50, 515–529 (2003)

    Article  Google Scholar 

  13. Ruckle, W.H.: Pursuit on a cyclic graph. Int. J. Game Theory 10, 91–99 (1983)

    Article  MathSciNet  Google Scholar 

  14. Zoroa, N., Zoroa, P., Fernández-Sáez, M.J.: Raid games across a set with cyclic order. Eur. J. Oper. Res. 145, 684–692 (2003)

    Article  Google Scholar 

  15. Zoroa, N., Fernández-Sáez, M.J., Zoroa, P.: Patrolling a perimeter. Eur. J. Oper. Res. 222, 571–582 (2012)

    Article  Google Scholar 

  16. Zoroa, N., Zoroa, P., Fernández-Sáez, M.J.: Weighted search games. Eur. J. Oper. Res. 195, 394–411 (2008). doi:10.1016/j.ejor.2008.02.007

    Article  Google Scholar 

  17. Alpern, S., Morton, A., Papadaki, K.: Patrolling games. Oper. Res. 59, 1246–1257 (2011)

    Article  MathSciNet  Google Scholar 

  18. Garnaev, A.Y.: Search game in a rectangle. J. Optim. Theory Appl. 69, 531–542 (1991)

    Article  MathSciNet  Google Scholar 

  19. Schoener, T.W.: Theory of feeding strategies. Annu. Rev. Ecol. Evol. Syst. 2, 369–404 (1971). doi:10.1146/annurev.es.02.110171.002101

    Article  Google Scholar 

  20. Norberg, R.: A. An ecological theory on foraging time and energetics and the choice of optimal food-searching methods. J. Anim. Ecol. 46, 511–529 (1977)

    Article  Google Scholar 

  21. Bell, W.J.: Searching Behaviour: The Behavioural Ecology of Finding Resources. Chapman and Hall, Cambridge (1991)

    Google Scholar 

  22. Mitchell, W.A., Lima, S.T.: Predator-prey shell games: large scale movements and its implications for decision-making by prey. Oikos 99, 249–259 (2002)

    Article  Google Scholar 

  23. Scharf, I., Nulman, E., Ovadia, O., Bouskila, A.: Efficiency evaluation of two competing foraging modes under different conditions. Am. Nat. 168, 350–357 (2006)

    Article  Google Scholar 

  24. Alpern, S., Fokkink, R., Timmer, M., Casas, J.: Ambush frequency should increase over time during optimal predator search for prey. J. R. Soc. Interface 8, 1665–1672 (2011). doi:10.1098/rsif.2011.0154

    Article  Google Scholar 

  25. Zoroa, N., Fernández-Sáez, M.J., Zoroa, P.: A foraging problem: sit and wait versus active predation. Eur. J. Oper. Res. 208, 131–141 (2011). doi:10.1016/j.ejor.2010.08.001

    Article  Google Scholar 

  26. Arculus, R.: A discrete search-ambush game with a silent predator. In: Alpern, S., Fokkink, R., Gasieniec, L., Lindelauf, R., Subrahmanian, V.S. (eds.) Search Theory: A Game Theoretic Perspective, pp. 249–266. Springer, Berlin (2013). doi:10.1007/978-1-4614-6825-7_16

  27. Gal, S., Casas, J.: Succession of hide-seek and pursuit-evasion at heterogeneous locations. J. R. Soc. Interface 11, 20140062 (2004). doi:10.1098/rsif.2014.0062

    Article  Google Scholar 

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Acknowledgments

This research has been supported by the Fundación Séneca of the Comunidad Autónoma de la Región de Murcia, Project 08716/ PI/08. The authors thank an anonymous referee and the editor for their constructive comments, which have greately improved the paper, and they thank Pascual Lucas and Josefa Marín for their very helpful suggestions.

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Correspondence to Noemí Zoroa.

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Communicated by Negash G. Medhin.

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Zoroa, N., Fernández-Sáez, MJ. & Zoroa, P. Ambush and Active Search in Multistage Predator–Prey Interactions. J Optim Theory Appl 166, 626–643 (2015). https://doi.org/10.1007/s10957-014-0620-9

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  • DOI: https://doi.org/10.1007/s10957-014-0620-9

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