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Computations and Computers in the Sciences of Mind and Brain

Piccinini, Gualtiero (2003) Computations and Computers in the Sciences of Mind and Brain. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

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Computationalism says that brains are computing mechanisms, that is, mechanisms that perform computations. At present, there is no consensus on how to formulate computationalism precisely or adjudicate the dispute between computationalism and its foes, or between different versions of computationalism. An important reason for the current impasse is the lack of a satisfactory philosophical account of computing mechanisms. The main goal of this dissertation is to offer such an account. I also believe that the history of computationalism sheds light on the current debate. By tracing different versions of computationalism to their common historical origin, we can see how the current divisions originated and understand their motivation. Reconstructing debates over computationalism in the context of their own intellectual history can contribute to philosophical progress on the relation between brains and computing mechanisms and help determine how brains and computing mechanisms are alike, and how they differ. Accordingly, my dissertation is divided into a historical part, which traces the early history of computationalism up to 1946, and a philosophical part, which offers an account of computing mechanisms. The two main ideas developed in this dissertation are that (1) computational states are to be identified functionally not semantically, and (2) computing mechanisms are to be studied by functional analysis. The resulting account of computing mechanism, which I call the functional account of computing mechanisms, can be used to identify computing mechanisms and the functions they compute. I use the functional account of computing mechanisms to taxonomize computing mechanisms based on their different computing power, and I use this taxonomy of computing mechanisms to taxonomize different versions of computationalism based on the functional properties that they ascribe to brains. By doing so, I begin to tease out empirically testable statements about the functional organization of the brain that different versions of computationalism are committed to. I submit that when computationalism is reformulated in the more explicit and precise way I propose, the disputes about computationalism can be adjudicated on the grounds of empirical evidence from neuroscience.


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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairMachamer, Peter Kpkmach@pitt.eduPKMACH
Committee MemberErmentrout, G. Bardbard@pitt.eduBARD
Committee MemberNorton, John Djdnorton@pitt.eduJDNORTON
Committee MemberEarman, Johnjearman@pitt.eduJEARMAN
Committee MemberGriffiths,
Date: 18 November 2003
Date Type: Completion
Defense Date: 20 June 2003
Approval Date: 18 November 2003
Submission Date: 13 August 2003
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Institution: University of Pittsburgh
Schools and Programs: Dietrich School of Arts and Sciences > History and Philosophy of Science
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: Alan Turing; Church-Turing Thesis; Computational Functionalism; Computational Theory of Mind; Computationalism; Content; Functional Analysis; Functionalism; Hardware; Hypercomputation; John von Neumann; Mechanism; Multiple Realizability; Neural Net; Norbert Wiener; Program; Representation; Software; Walter Pitts; Warren McCulloch
Other ID:, etd-08132003-155121
Date Deposited: 10 Nov 2011 19:59
Last Modified: 15 Nov 2016 13:48


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