Bearden & Connolly (2008) On Optimal Satisficing
Satisficing is to accept the first-seen option that met certain thresholds, known as aspirations. Assume options are presented as vectors \(\vec{x}=(x^1,x^2,\cdots,x^k)\), and the aspiration level as \(\vec{\theta}=(\theta^1,\theta^2,\cdots,\theta^k)\). There is an indicator function for accept,
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