Beliefs in Decision-Making Cascades

This work explores a social learning problem with agents having nonidentical noise variances and mismatched beliefs. We consider an N-agent binary hypothesis test in which each agent sequentially makes a decision based not only on a private observation, but also on preceding agents' decisions....

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Veröffentlicht in:	IEEE transactions on signal processing 2019-10, Vol.67 (19), p.5103-5117
Hauptverfasser:	Seo, Daewon, Raman, Ravi Kiran, Rhim, Joong Bum, Goyal, Vivek K, Varshney, Lav R.
Format:	Artikel
Sprache:	eng
Schlagworte:	augmented intelligence Cascades cascading binary hypothesis test cumulative prospect theory Decision making Human behavior Noise Noise levels Optimization Reagents Social learning
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