Experience goods, reinforcement learning, and social networks
Louis Dalpra
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Louis Dalpra: BETA - Bureau d'Économie Théorique et Appliquée - AgroParisTech - UNISTRA - Université de Strasbourg - Université de Haute-Alsace (UHA) - Université de Haute-Alsace (UHA) Mulhouse - Colmar - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement
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Abstract:
This paper explores decision-making processes in experience goods markets, emphasizing how agents learn to choose in situations where value is uncertain until after consumption.The study examines agents employing individual and social learning strategies within a multidimensional reinforcement learning framework, particularly in scenarios of repeated choices.Agents in our model gather insights from personal experiences and through recommendations within their social networks. The simulation results highlight the benefits of combining individual and social learning. While social learning yields consistent outcomes across agents, individual learning offers the possibility of higher rewards but also greater risks.A notable finding of this research is the development of asymmetrical influence patterns in social networks. This phenomenon refers to a tendency where certain agents become disproportionately influential in guiding others' choices, leading to a centralization in how advice is sought and followed within the network. This aspect of the model sheds light on the nuances of social dynamics in decision-making processes. The study enhances our understanding of consumer behavior in markets for experience goods, providing insights into the complex interplay of individual experiences and social influences in shaping economic decisions.
Date: 2025-05-21
Note: View the original document on HAL open archive server: https://hal.science/hal-05135741v1
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Published in Journal of Economic Interaction and Coordination, 2025, ⟨10.1007/s11403-025-00447-1⟩
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05135741
DOI: 10.1007/s11403-025-00447-1
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