Partner selection alters opponent distributions in policy-gradient dynamics, promoting cooperation when population variance exists, with a Wiener-process stochastic extension proving a sufficient condition and stationary distribution.
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Boundary mixed steady states in networked evolutionary games are characterized by boundary Nash equilibria in two-strategy cases and are generically unstable unless degenerate due to interaction structure among mixed players.
A new cooperative localization algorithm based on overlapping covariance intersection is fully distributed, provably recursively consistent, and scalable to ultra large-scale multi-agent systems without performance loss from ignored cross-correlations.
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