In the wide economic literature on social learning, many types of behavior – rational and non-rational – have been proposed. I suggest a level-k model that unifies many of them in one framework. This paper analyzes experimental data that is able to distinguish between levels of reasoning at the individual level. It relies on rich, existing data from Çelen and Kariv (2004) as well as new experimental data that includes written accounts of reasoning from incentivized intra-team communication. Three datasets provide consistent evidence that naïve inference in form of the best response to truthful play is the most common approach to social learning. The empirical type distributions feature heterogeneity similar to other level-k applications
Social learning is one important way that children learn about the world. This thesis presents and ...
We revisit the canonical binary-state model of social learning to investigate the possibility of non...
The overarching goal of this thesis was to examine the behavioral, computational, and neural mechani...
This paper proposes a behavioral model of social learning that unies various forms of inferential re...
This paper investigates the learning foundations of economic models of social learning. We pursue th...
We revisit the economic models of social learning by assuming that individuals update their beliefs ...
We conducted an experiment to describe how social learners use information about the relation betwee...
The theory of rational social learning studies how individual decision makers are influenced by the ...
We study social learning in a continuous action space experiment. Subjects, acting in sequence, stat...
Individuals living in society are bound together by a social network, the complex of relationships t...
Humans are characterised by a strong proclivity towards two traits: cooperation and social learning....
The existence of social learning has been confirmed in diverse taxa, from apes to guppies. In order ...
We study social learning in a continuous action space experiment. Subjects, acting in sequence, stat...
AbstractWe use an evolutionary model to simulate agents who choose between two options with stochast...
The present study is a simulation study. We theoretically tested a newly developed probabilistic rew...
Social learning is one important way that children learn about the world. This thesis presents and ...
We revisit the canonical binary-state model of social learning to investigate the possibility of non...
The overarching goal of this thesis was to examine the behavioral, computational, and neural mechani...
This paper proposes a behavioral model of social learning that unies various forms of inferential re...
This paper investigates the learning foundations of economic models of social learning. We pursue th...
We revisit the economic models of social learning by assuming that individuals update their beliefs ...
We conducted an experiment to describe how social learners use information about the relation betwee...
The theory of rational social learning studies how individual decision makers are influenced by the ...
We study social learning in a continuous action space experiment. Subjects, acting in sequence, stat...
Individuals living in society are bound together by a social network, the complex of relationships t...
Humans are characterised by a strong proclivity towards two traits: cooperation and social learning....
The existence of social learning has been confirmed in diverse taxa, from apes to guppies. In order ...
We study social learning in a continuous action space experiment. Subjects, acting in sequence, stat...
AbstractWe use an evolutionary model to simulate agents who choose between two options with stochast...
The present study is a simulation study. We theoretically tested a newly developed probabilistic rew...
Social learning is one important way that children learn about the world. This thesis presents and ...
We revisit the canonical binary-state model of social learning to investigate the possibility of non...
The overarching goal of this thesis was to examine the behavioral, computational, and neural mechani...