Neuromorphic decision dynamics realize best response as an attractor of an internal state-space process whose convergence rate is independent of action count and that switches only on sufficiently strong evidence.
Utility and mechanism design in multi-agent systems: An overview
2 Pith papers cite this work. Polarity classification is still indexing.
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In multi-player Tullock contests, the optimal reported valuations for a coordinator's subordinates extend structurally to arbitrary numbers of players, reducing the coordinator's optimization to a two-variable problem.
citing papers explorer
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Neuromorphic Realization of Best Response in Finite-Action Games
Neuromorphic decision dynamics realize best response as an attractor of an internal state-space process whose convergence rate is independent of action count and that switches only on sufficiently strong evidence.
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Incentive Design in Competitive Resource Allocation: Exploiting Valuation Asymmetry in Tullock Contests
In multi-player Tullock contests, the optimal reported valuations for a coordinator's subordinates extend structurally to arbitrary numbers of players, reducing the coordinator's optimization to a two-variable problem.