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Jonathan Lawry

Biographic Data

ID1289691
NAMEJonathan Lawry
GIVEN NAMESJonathan
FAMILY NAMELawry
SIGNATURELAWRY J
AFFILIATIONSUniversity of Bristol
ORCID0000-0002-3488-5682
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS2
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2008
LATEST PUBLICATION YEAR2024
H-INDEX1
  • Multiple belief states in social learning

    Open Access•Jonathan Lawry•ARTICLE•Synthese•2024•References: 25

    In social learning the way in which agents represent their beliefs motivates and constrains both how they learn individually from the environment and socially from one another. Assuming that agents can only hold beliefs drawn from a finite set of possible belief states, in this paper we investigate the effect that varying the number of those belief states has on the efficacy of social learning. To this end we propose an evidence tokens model for …

  • Appropriateness measures

    Open Access•Jonathan Lawry•ARTICLE•Synthese•2008•Cited by: 2•References: 8

  • Appropriateness measures

    Open Access•Jonathan Lawry•ARTICLE•Synthese•2008•Cited by: 2•References: 8

  • Appropriateness measures

    Open Access•Jonathan Lawry•ARTICLE•Synthese•2008•Cited by: 2•References: 8

  • Multiple belief states in social learning

    Open Access•Jonathan Lawry•ARTICLE•Synthese•2024•References: 25

    In social learning the way in which agents represent their beliefs motivates and constrains both how they learn individually from the environment and socially from one another. Assuming that agents can only hold beliefs drawn from a finite set of possible belief states, in this paper we investigate the effect that varying the number of those belief states has on the efficacy of social learning. To this end we propose an evidence tokens model for …

Artificial Intelligence (2 works) · Artificial Intelligence (2 works) · Computer Science (2 works) · Epistemology (2 works) · Metaphysics (2 works) · Philosophy (2 works) · Philosophy of language (2 works) · Philosophy of science (2 works) · Bayesian Modeling and Causal Inference (1 work) · Bayesian network (1 work)

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