David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jonathan Jenkins Ichikawa
Jack Alan Reynolds
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In M. Albert, D. Schmidtchen & S. Voigt (eds.), Scientific Competition: Theory and Policy, Conferences on New Political Economy. Mohr Siebeck (2003)
Distributed cognition refers to processes which are (i) cognitive and (ii) distributed across multiple agents or devices rather than performed by a single agent. Distributed cognition has attracted interest in several fields ranging from sociology and law to computer science and the philosophy of science. In this paper, I discuss distributed cognition from a social-choice-theoretic perspective. Drawing on models of judgment aggregation, I address two questions. First, how can we model a group of individuals as a distributed cognitive system? Second, can a group acting as a distributed cognitive system be ‘rational’ and ‘track the truth’ in the outputs it produces? I argue that a group’s performance as a distributed cognitive system depends on its ‘aggregation procedure’ – its mechanism for aggregating the group members’ inputs into collective outputs – and I investigate the properties of an aggregation procedure that matter.
|Keywords||Distributed cognition Social epistemology Collective cognition Collective epistemic agents Judgment aggregation|
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Christian List (2005). Group Knowledge and Group Rationality: A Judgment Aggregation Perspective. Episteme 2 (1):25-38.
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