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Peer disagreement under multiple epistemic systems

机译:多个认知系统下的同伴分歧

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In a situation of peer disagreement, peers are usually assumed to share the same evidence. However they might not share the same evidence for the epistemic system used to process the evidence. This synchronic complication of the peer disagreement debate suggested by Goldman (In Feldman R, Warfield T (eds) (2010) Disagreement. Oxford University Press, Oxford, pp 187-215) is elaborated diachronically by use of a simulation. The Hegselmann-Krause model is extended to multiple epistemic systems and used to investigate the role of consensus and difference splitting in peer disagreement. I find that the very possibility of multiple epistemic systems downgrades the epistemic value of consensus and makes difference splitting a suboptimal strategy.
机译:在同伴意见分歧的情况下,通常假定同伴共享相同的证据。但是,对于用于处理证据的认知系统,他们可能不会共享相同的证据。高盛提出的同peer异议辩论的这种共时复杂性(通过模拟,从历时的角度阐述了高盛的观点(In Feldman R,Warfield T(eds)(2010)Disagreement。Oxford University Press,Oxford,pp 187-215))。 Hegselmann-Krause模型被扩展到多个认知系统,并用于研究共识和差异分裂在同伴分歧中的作用。我发现多种认知系统的可能性降低了共识的认知价值,并使差异分裂为次优策略。

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