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Erscheinungsjahr: 
2022
Quellenangabe: 
[Journal:] Games [ISSN:] 2073-4336 [Volume:] 13 [Issue:] 5 [Article No.:] 60 [Year:] 2022 [Pages:] 1-14
Verlag: 
MDPI, Basel
Zusammenfassung: 
Social learning often occurs between groups with different levels of experience. Yet little is known about the ideal behavioral rules in such contexts. Existing insights only apply when individuals learn from each other in the same group. In this paper, we close this gap and consider two groups, novices and experienced. Experienced should not learn from novices. For novices learning from experienced, a particular form of probabilistic imitation is selected. Novices should imitate any experienced who is more successful, and sometimes but not always imitate an experienced who is less successful.
Schlagwörter: 
experience
imitation
improving
reverse proportional imitation
social learning
JEL: 
D83
C73
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