Minds, brains, and programs

By John R. Searle. 1980

Subfields: Cognitive Science & Psychology, Philosophy

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Citations in the corpus

Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data (2020, methodology): “This means we must be extra careful in devising evaluations for machine understanding, as Searle (1980) elaborates with his Chinese Room experiment: he develops the metaphor of a “system” in which a person who does not speak Chinese answers Chinese questions by consulting a library of Chinese books…”
The Symbol Grounding Problem (1990, neutral): “The first comes from Searle's (1980) celebrated "Chinese Room Argument," in which the symbol grounding problem is referred to as the problem of intrinsic meaning (or "intentionality"): Searle challenges the core assumption of symbolic AI that a symbol system able to generate behavior indistinguishab”
Universal Intelligence: A Definition of Machine Intelligence (2007, background): “’s “Chinese room” argument? Searle’s Chinese room argument attacks our functional position in a similar way by arguing that a system may appear to be intelligent without really understanding anything [Sea80]. From our perspective, whether or not an agent understands what it is doing is only importan”
Situated simulation in the human conceptual system (2003, background): “Not only does this provide a solution to the symbol grounding problem (Searle, 1980), it explains how conceptual representations can be brought to bear so effortlessly on perception, and how the two can be fused together so easily.”
Foundations of Language: Brain, Meaning, Grammar, Evolution (2002, background): “However, another influential strain in semantics (and the predominant one in AngloAmerican philosophy, dating back to Frege (1892) and shared by people as different as David Lewis (1972), Hilary Putnam (1976), John Searle (1980), and Jerry Fodor (1987)) takes it that semantics is the study of the co”
Structure-Adaptable Digital Neural Networks (1999, background): “, a system that is capable of associating a meaning to the symbols it uses for computing) [186, 187], and not merely with syntax , as it is the case of our current computing machines.”
Strong systematicity through sensorimotor conceptual grounding: an unsupervised, developmental approach to connectionist sentence processing (2012, background): “It is often argued that a critical aspect of grounding is the ability to have direct access to input from and the potential to affect changes to the world – a perspective known as embodiment (e.g. Clark 2008; see also Searle 1980; Harnad 1990).”
Controlling Recurrent Neural Networks by Conceptors (2014, background): “The nature of symbols in cognitive processes has been cast as a philosophical issue [95, 29, 44].”
Measurement Instruments for the Anthropomorphism, Animacy, Likeability, Perceived Intelligence, and Perceived Safety of Robots (2009, background): “Many of the past promises of AI have not been fulfilled, and AI has been criticized extensively [43–46].”
Symbol Grounding and Meaning: A Comparison of High-Dimensional and Embodied Theories of Meaning (2000, background): “Will this work? Searle (1980) Chinese Room Argument is mean demonstrate that abstract, arbitrary symb such as words, need to be grounded in so thing other than relations to more abstract a trary symbols if any of those symbols are to meaningful.”
Cultural evolution, the postbiological universe and SETI (2003, background): “This assumes the strong AI position that it is possible to construct intelligent machines functionally equivalent to human intelligence, a point of considerable contention (Searle 1980; Tipler 1994, ch. 2).”
Toward a Unified Theory of Reading (2007, background): “The plausibility of a computational account of human cognition is questionable from philosophical and psychological perspectives (e.g., Norris, 2005; Paivio, 2007; Searle, 1987; Utall, 2005).”
PsyPhy: A Psychophysics Driven Evaluation Framework for Visual Recognition (2016, background): “But what many of us in computer vision might not realize is that this setup happens to be the classic Chinese Room [3] problem proposed by the philosopher John Searle.”