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Social consensus and rational agnoiology

Synthese 31 (1):141-160 (1975)

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  1. Diversity and the Division of Cognitive Labor.Ryan Muldoon - 2013 - Philosophy Compass 8 (2):117-125.
    In epistemology and the philosophy of science, there has been an increasing interest in the social aspects of belief acquisition. In particular, there has been a focus on the division of cognitive labor in science. This essay explores several different models of the division of cognitive labor, with particular focus on Kitcher, Strevens, Weisberg and Muldoon, and Zollman. The essay then shows how many of the benefits of the division of cognitive labor flow from leveraging agent diversity. The essay concludes (...)
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  • Deliberative Exchange, Truth, and Cognitive Division of Labour: A Low-Resolution Modeling Approach.Ulrich Krause & Rainer Hegselmann - 2009 - Episteme 6 (2):130-144.
    This paper develops a formal framework to model a process in which the formation of individual opinions is embedded in a deliberative exchange with others. The paper opts for a low-resolution modeling approach and abstracts away from most of the details of the social-epistemic process. Taking a bird's eye view allows us to analyze the chances for the truth to be found and broadly accepted under conditions of cognitive division of labour combined with a social exchange process. Cognitive division of (...)
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  • Opinion dynamics and bounded confidence: models, analysis and simulation.Hegselmann Rainer & Ulrich Krause - 2002 - Journal of Artificial Societies and Social Simulation 5 (3).
    When does opinion formation within an interacting group lead to consensus, polarization or fragmentation? The article investigates various models for the dynamics of continuous opinions by analytical methods as well as by computer simulations. Section 2 develops within a unified framework the classical model of consensus formation, the variant of this model due to Friedkin and Johnsen, a time-dependent version and a nonlinear version with bounded confidence of the agents. Section 3 presents for all these models major analytical results. Section (...)
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  • Consensus, respect, and weighted averaging.Frederick F. Schmitt - 1985 - Synthese 62 (1):25 - 46.
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  • Institutional virtue: how consensus matters.Anita Konzelmann Ziv - 2012 - Philosophical Studies 161 (1):87-96.
    The paper defends the thesis that institutional virtue is properly modeled as a ‘‘consensual’’ property, along the lines of the Lehrer–Wagner model of consensus (LWC). In a first step, I argue that institutional virtue is not exhausted by duty-fulfilling, since institutions, contrary to natural individuals, are designed to fulfill duties. To avoid the charge of vacuity, virtue, if attributed to institutions, must be able to motivate supererogatory action. In a second step, I argue against dis- continuity of institutional virtue with (...)
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  • Consensus through respect: A model of rational group decision-making.Carl Wagner - 1978 - Philosophical Studies 34 (4):335 - 349.
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  • Some properties of the Lehrer-Wagner method for reaching rational consensus.Hannu Nurmi - 1985 - Synthese 62 (1):13 - 24.
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  • Rational consensual procedure: Argumentation or weighted averaging?Jane Braaten - 1987 - Synthese 71 (3):347 - 354.
    The following is a defense of Jurgen Habermas' argumentational consensual procedure against Keith Lehrer and Carl Wagner's weighted averaging consensual procedure (and, I tentatively claim, against any weighted averaging consensual procedure). The argument is twofold: if Lehrer and Wagner intend, implicity, to replace what is for Habermas the metatheoretical stage of a discussion with the aggregation of judgments of respect, then their procedure fails to make use of all available information and the participants are not committed to the weighted average (...)
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  • Probability amalgamation and the independence issue: A reply to Laddaga.Keith Lehrer & Carl Wagner - 1983 - Synthese 55 (3):339 - 346.
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  • Modelling structured societies: A multi-relational approach to context permeability.Davide Nunes & Luis Antunes - 2015 - Artificial Intelligence 229 (C):175-199.
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