The Population Lotto Game: how strategic resource allocation structures non-transitive outcomes in pairwise competitions
Giovanni Artiglio,
Aiden Youkhana and
Joel Nishimura ()
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Giovanni Artiglio: University of Wisconsin-Madison
Aiden Youkhana: Arizona State University: West Valley Campus
Joel Nishimura: Arizona State University: West Valley Campus
International Journal of Game Theory, 2024, vol. 53, issue 3, No 9, 913-937
Abstract:
Abstract In order to understand if and how strategic resource allocation can constrain the structure of pair-wise competition outcomes in human competitions we introduce a new multiplayer resource allocation game, the Population Lotto Game. This new game allows agents to allocate their resources across a continuum of possible specializations. While this game allows non-transitive cycles between players, we show that the Nash equilibrium of the game also forms a hierarchical structure between discrete ‘leagues’ based on their different resource budgets, with potential sub-league structure and/or non-transitive cycles inside individual leagues. We provide an algorithm that can find a particular Nash equilibrium for any finite set of discrete sub-population sizes and budgets. Further, our algorithm finds the unique Nash equilibrium that remains stable for the subset of players with budgets below any threshold.
Keywords: Non-transitive outcomes; Resource allocation; Colonel Blotto; Continuous game; Continuous General Lotto (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s00182-024-00891-6
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