David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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Social Epistemology 21 (4):349 – 368 (2007)
Group decisions raise a number of substantial philosophical and methodological issues. We focus on the goal of the group decision exercise itself. We ask: What should be counted as a good group decision-making result? The right decision might not be accessible to, or please, any of the group members. Conversely, a popular decision can fail to be the correct decision. In this paper we discuss what it means for a decision to be "right" and what components are required in a decision process to produce happy decision-makers. Importantly, we discuss how "right" decisions can produce happy decision-makers, or rather, the conditions under which happy decision-makers and right decisions coincide. In a large range of contexts, we argue for the adoption of formal consensus models to assist in the group decision-making process. In particular, we advocate the formal consensus convergence model of Lehrer and Wagner (1981), because a strong case can be made as to why the underlying algorithm produces a result that should make each of the experts in a group happy. Arguably, this model facilitates true consensus, where the group choice is effectively each person's individual choice. We analyse Lehrer and Wagner's algorithm for reaching consensus on group probabilities/utilities in the context of complex decision-making for conservation biology. While many conservation decisions are driven by a search for objective utility/probability distributions (regarding extinction risks of species and the like), other components of conservation management primarily concern the interests of stakeholders. We conclude with cautionary notes on mandating consensus in decision scenarios for which no fact of the matter exists. For such decision settings alternative types of social choice methods are more appropriate.
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References found in this work BETA
John Earman (1992). Bayes or Bust? A Critical Examination of Bayesian Confirmation Theory. MIT Press.
Kenneth J. Arrow (1952). Social Choice and Individual Values. Science and Society 16 (2):181-181.
Christian List & Philip Pettit (2004). Aggregating Sets of Judgments: Two Impossibility Results Compared. Synthese 140 (1-2):207 - 235.
Mark Colyvan, Damian Cox & Katie Steele (2010). Modelling the Moral Dimension of Decisions. Noûs 44 (3):503-529.
Citations of this work BETA
Ryan Muldoon, Chiara Lisciandra, Mark Colyvan, Carlo Martini, Giacomo Sillari & Jan Sprenger (2014). Disagreement Behind the Veil of Ignorance. Philosophical Studies 170 (3):377-394.
Carlo Martini, Jan Sprenger & Mark Colyvan (2013). Resolving Disagreement Through Mutual Respect. Erkenntnis 78 (4):881-898.
Jan Sprenger, Carlo Martini & Stephan Hartmann (2009). Consensual Decision-Making Among Epistemic Peers. Episteme 6 (2):110-129.
Derek G. Ross (2012). Ambiguous Weighting and Nonsensical Sense: The Problems of “Balance” and “Common Sense” as Commonplace Concepts and Decision-Making Heuristics in Environmental Rhetoric. Social Epistemology 26 (1):115-144.
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