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On Some Evacuation Games with Random Walks

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Advances in Computer Games (ACG 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9525))

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Abstract

We consider a single-player game where a particle on a board has to be steered to evacuation cells. The actor has no direct control over this particle but may indirectly influence the movement of the particle by blockades. We examine optimal blocking strategies and the recurrence property experimentally and conclude that the random walk of our game is recurrent. Furthermore, we are interested in the average time in which an evacuation cell is reached.

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Notes

  1. 1.

    For brevity, we use ‘he’ and ‘his’, whenever ‘he or she’ and ‘his or her’ are meant.

References

  1. Althöfer, I.: Personal Communication in June 2014

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  2. Althöfer, I., Beckmann M., Salzer. F.: On some random walk games with diffusion control (2015)

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  3. Durrett, R.: Probability: Theory and Examples (2010). http://www.math.duke.edu/ rtd/PTE/PTE4_1.pdf. Accessed on 9th March 2015

  4. Finch, S.R.: Polya’s Random Walk Constant. Section 5.9 in Mathematical Constants, pp. 322–331. Cambridge University Press, Cambridge (2003)

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  5. Maxwell, J.C.: Theory of Heat, 9th edn. Longmans, London (1888)

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  6. Polya, G.: Ueber eine Aufgabe betreffend die Irrfahrt im Strassennetz. Math. Ann. 84, 149–160 (1921)

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Acknowledgments

The author would like to thank Ingo Althöfer for asking the interesting bumblebee evacuation question. Thanks also to three anonymous referees for their constructive comments.

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Correspondence to Matthias Beckmann .

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Appendix

Appendix

1.1 Method of Monotonous Iterations

Given an equation system (E) of the form \(x =f(x)\) and a starting vector \(x^{(0)}\) we compute \(x^{(i+1)}\) by

$$\begin{aligned} x^{(i+1)}=f(x^{(i)}). \end{aligned}$$

This method converges towards a solution, for instance, if the following conditions hold

  1. 1.

    (E) has a unique solution, and

  2. 2.

    the sequence \(x^{(i)}\) is monotonically increasing in all coordinates and has an upper bound in each coordinate.

The first condition holds for the problems outlined in this paper.

The second condition depends on the starting vector \(x^{(0)}\). Only a good starting vector will lead to the solution of (E). A good solution for our problems is \(x^{(0)}=(0,0,\dots ,0)\) for which the second property is fulfilled.

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© 2015 Springer International Publishing Switzerland

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Beckmann, M. (2015). On Some Evacuation Games with Random Walks. In: Plaat, A., van den Herik, J., Kosters, W. (eds) Advances in Computer Games. ACG 2015. Lecture Notes in Computer Science(), vol 9525. Springer, Cham. https://doi.org/10.1007/978-3-319-27992-3_9

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  • DOI: https://doi.org/10.1007/978-3-319-27992-3_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27991-6

  • Online ISBN: 978-3-319-27992-3

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