David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
Churchland underestimates the power and purpose of the Turing Test, dismissing it as the trivial game to which the Loebner Prize (offered for the computer program that can fool judges into thinking it's human) has reduced it, whereas it is really an exacting empirical criterion: It requires that the candidate model for the mind have our full behavioral capacities -- so fully that it is indistinguishable from any of us, to any of us (not just for one Contest night, but for a lifetime). Scaling up to such a model is (or ought to be) the programme of that branch of reverse bioengineering called cognitive science. It's harmless enough to do the hermeneutics after the research has been successfully completed, but self-deluding and question-begging to do it before.
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Luciano Floridi, Mariarosaria Taddeo & Matteo Turilli (2008). Turing’s Imitation Game: Still an Impossible Challenge for All Machines and Some Judges. Minds and Machines 19 (1):145-150.
Stevan Harnad (1992). The Turing Test is Not a Trick: Turing Indistinguishability is a Scientific Criterion. Philosophical Explorations 3 (4):9-10.
Hilary Putnam (1992). Truth, Activation Vectors and Possession Conditions for Concepts. Philosophy and Phenomenological Research 52 (2):431-447.
Stevan Harnad (1993). Grounding Symbols in the Analog World with Neural Nets. Philosophical Explorations 2 (1):12-78.
Jørn Hokland & Beatrix Vereijken (2001). Can Robots Without Hebbian Plasticity Make Good Models of Adaptive Behaviour? Behavioral and Brain Sciences 24 (6):1060-1062.
Paul M. Churchland (1992). Activation Vectors Versus Propositional Attitudes: How the Brain Represents Reality. Philosophy and Phenomenological Research 52 (2):419-424.
Paul M. Churchland (2005). Chimerical Colors: Some Phenomenological Predictions From Cognitive Neuroscience. Philosophical Psychology 18 (5):527-560.
Stevan Harnad, Symbol Grounding is an Empirical Problem: Neural Nets Are Just a Candidate Component.
Hugh Clapin (1999). What, Exactly, is Explicitness? Behavioral and Brain Sciences 22 (1):150-151.
Added to index2009-01-28
Total downloads22 ( #172,621 of 1,906,955 )
Recent downloads (6 months)5 ( #162,336 of 1,906,955 )
How can I increase my downloads?