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What if criminals optimize their choice? Optimal strategies to defend public goods

Camilla Bruni, Juan Carlos Nuño and Mario Primicerio

Physica A: Statistical Mechanics and its Applications, 2013, vol. 392, issue 4, 840-850

Abstract: We investigate optimal strategies to defend valuable goods against the attacks of a thief. Given the value of the goods and the probability of success for the thief, we look for the strategy that assures the largest benefit to each player irrespective of the strategy of his opponent. Two complementary approaches are used: agent-based modeling and game theory. It is shown that the compromise between the value of the goods and the probability of success defines the mixed Nash equilibrium of the game, that is compared with the results of the agent-based simulations and discussed in terms of the system parameters.

Keywords: Criminality; Mathematical model; Game theory; Mixed Nash equilibrium; Agent-based modeling; Computer simulations (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:392:y:2013:i:4:p:840-850

DOI: 10.1016/j.physa.2012.10.002

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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