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cohort"then 11:info← {reward[t−1, j] :j̸=a} 12:µ info ←mean(info),σ info ←sd(info) 13:else ifinfotype=

The optimal satisfaction threshold is strictly greater than the mean reward The reward in the ‘exploit’ phase (µexploit(T)) is always positive, increases inT

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Optimal ambition in business, politics and life

physics.soc-ph · 2025-02-14 · conditional · novelty 4.0

In a finite-time search model, the optimal satisfaction threshold is finite and above the mean reward, and being overambitious is more costly than being underambitious.

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  • Optimal ambition in business, politics and life physics.soc-ph · 2025-02-14 · conditional · none · ref 3

    In a finite-time search model, the optimal satisfaction threshold is finite and above the mean reward, and being overambitious is more costly than being underambitious.