PSYCHOLOGISM and BEHAVIORISM Ned Block
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What Is Wrong with the No-Report Paradigm and How to Fix It Ned Block New York University Correspondence: [email protected]
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by PhilPapers Forthcoming in Trends in Cognitive Sciences What is wrong with the no-report paradigm and how to fix it Ned Block New York University Correspondence: [email protected] Key words: consciousness, perception, rivalry, frontal, global workspace, higher order Abstract Is consciousness based in prefrontal circuits involved in cognitive processes like thought, reasoning, and memory or, alternatively, is it based in sensory areas in the back of the neocortex? The no-report paradigm has been crucial to this debate because it aims to separate the neural basis of the cognitive processes underlying post-perceptual decision and report from the neural basis of conscious perception itself. However, the no-report paradigm is problematic because, even in the absence of report, subjects might engage in post-perceptual cognitive processing. Therefore, to isolate the neural basis of consciousness, a no-cognition paradigm is needed. Here, I describe a no-cognition approach to binocular rivalry and outline how this approach can help resolve debates about the neural basis of consciousness. Acknowledgement: Thanks to Jan Brascamp, Susan Carey, Thomas Carlson, David Carmel, David Chalmers, Christof Koch, Hakwan Lau, Matthias Michel, Michael Pitts, Dawid Potgieter and Giulio Tononi for comments on an earlier version. What is the Neural Basis of Consciousness? In recent years the scientific study of consciousness (see Glossary) has focused on finding the neural basis of consciousness in the brain. There are many theories of the neural basis of consciousness, but in broad strokes theories tend to divide on whether consciousness is rooted in the ‘front’ or the ‘back’ of the brain. -
Consciousness, Philosophical Issues About Ned Block New York University I
To appear in The Encyclopedia of Cognitive Science Consciousness, Philosophical Issues about Ned Block New York University I. The Hard Problem There are a number of different matters that come under the heading of ‘consciousness’. One of them is phenomenality, the feeling of say a sensation of red or a pain, that is what it is like to have such a sensation or other experience. Another is reflection on phenomenality. Imagine two infants, both of which have pain, but only one of which has a thought about that pain. Both would have phenomenal states, but only the latter would have a state of reflexive consciousness. This entry will start with phenomenality, moving later to reflexivity and then to one other kind of consciousness. The Hard Problem of consciousness is how to explain a state of consciousness in terms of its neurological basis. If neural state N is the neural basis of the sensation of red, why is N the basis of that experience rather than some other experience or none at all? Chalmers (1996) distinguishes between the Hard Problem and “easy” problems that concern the function of consciousness. The Hard Problem (though not under that name) was identified by Nagel (1974) and further analyzed in Levine (1983). There are two reasons for thinking that the Hard Problem has no solution. 1. Actual Failure. In fact, no one has been able to think of even a highly speculative answer. 2. Principled Failure. The materials we have available seem ill suited to providing an answer. As Nagel says, an answer to this question would seem to require an objective account that necessarily leaves out the subjectivity of what it is trying to explain. -
Oliver Knill: March 2000 Literature: Peter Norvig, Paradigns of Artificial Intelligence Programming Daniel Juravsky and James Martin, Speech and Language Processing
ENTRY ARTIFICIAL INTELLIGENCE [ENTRY ARTIFICIAL INTELLIGENCE] Authors: Oliver Knill: March 2000 Literature: Peter Norvig, Paradigns of Artificial Intelligence Programming Daniel Juravsky and James Martin, Speech and Language Processing Adaptive Simulated Annealing [Adaptive Simulated Annealing] A language interface to a neural net simulator. artificial intelligence [artificial intelligence] (AI) is a field of computer science concerned with the concepts and methods of symbolic knowledge representation. AI attempts to model aspects of human thought on computers. Aspectrs of AI: computer vision • language processing • pattern recognition • expert systems • problem solving • roboting • optical character recognition • artificial life • grammars • game theory • Babelfish [Babelfish] Online translation system from Systran. Chomsky [Chomsky] Noam Chomsky is a pioneer in formal language theory. He is MIT Professor of Linguistics, Linguistic Theory, Syntax, Semantics and Philosophy of Language. Eliza [Eliza] One of the first programs to feature English output as well as input. It was developed by Joseph Weizenbaum at MIT. The paper appears in the January 1966 issue of the "Communications of the Association of Computing Machinery". Google [Google] A search engine emerging at the end of the 20'th century. It has AI features, allows not only to answer questions by pointing to relevant webpages but can also do simple tasks like doing arithmetic computations, convert units, read the news or find pictures with some content. GPS [GPS] General Problem Solver. A program developed in 1957 by Alan Newell and Herbert Simon. The aim was to write a single computer program which could solve any problem. One reason why GPS was destined to fail is now at the core of computer science. -
The Points of Viewing Theory for Engaged Learning with Digital Media
The Points of Viewing Theory for Engaged Learning with Digital Media Ricki Goldman New York University John Black Columbia University John W. Maxwell Simon Fraser University Jan J. L. Plass New York University Mark J. Keitges University of Illinois, Urbana Champaign - 1 - Introduction Theories are dangerous things. All the same we must risk making one this afternoon since we are going to discuss modern tendencies. Directly we speak of tendencies or movements we commit to, the belief that there is some force, influence, outer pressure that is strong enough to stamp itself upon a whole group of different writers so that all their writing has a certain common likeness. — Virginia Woolff, The Leaning Tower, lecture delivered to the Workers' Educational Association, Brighton (May 1940). With full acknowledgement of the warning from the 1940 lecture by Virginia Woolf, this chapter begins by presenting a theory of mind, knowing only too well, that “a whole group of different” learning theorists cannot find adequate coverage under one umbrella. Nor should they. However, there is a movement occurring, a form of social activism created by the affordances of social media, an infrastructure that was built incrementally during two to three decades of hard scholarly research that brought us to this historic time and place. To honor the convergence of theories and technologies, this paper proposes the Points of Viewing Theory to provide researchers, teachers, and the public with an opportunity to discuss and perhaps change the epistemology of education from its formal structures to more do-it-yourself learning environments that dig deeper and better into content knowledge. -
Much Has Been Written About the Turing Test in the Last Few Years, Some of It
1 Much has been written about the Turing Test in the last few years, some of it preposterously off the mark. People typically mis-imagine the test by orders of magnitude. This essay is an antidote, a prosthesis for the imagination, showing how huge the task posed by the Turing Test is, and hence how unlikely it is that any computer will ever pass it. It does not go far enough in the imagination-enhancement department, however, and I have updated the essay with a new postscript. Can Machines Think?1 Can machines think? This has been a conundrum for philosophers for years, but in their fascination with the pure conceptual issues they have for the most part overlooked the real social importance of the answer. It is of more than academic importance that we learn to think clearly about the actual cognitive powers of computers, for they are now being introduced into a variety of sensitive social roles, where their powers will be put to the ultimate test: In a wide variety of areas, we are on the verge of making ourselves dependent upon their cognitive powers. The cost of overestimating them could be enormous. One of the principal inventors of the computer was the great 1 Originally appeared in Shafto, M., ed., How We Know (San Francisco: Harper & Row, 1985). 2 British mathematician Alan Turing. It was he who first figured out, in highly abstract terms, how to design a programmable computing device--what we not call a universal Turing machine. All programmable computers in use today are in essence Turing machines. -
The Mystery of David Chalmers
Daniel C. Dennett The Mystery of David Chalmers 1. Sounding the Alarm ‘The Singularity’ is a remarkable text, in ways that many readers may not appreciate. It is written in an admirably forthright and clear style, and is beautifully organized, gradually introducing its readers to the issues, sorting them carefully, dealing with them all fairly and with impressive scholarship, and presenting the whole as an exercise of sweet reasonableness, which in fact it is. But it is also a mystery story of sorts, a cunningly devised intellectual trap, a baffling puzzle that yields its solution — if that is what it is (and that is part of the mystery) — only at the very end. It is like a ‘well made play’ in which every word by every character counts, retrospectively, for something. Agatha Christie never concocted a tighter funnel of implications and suggestions. Bravo, Dave. Copyright (c) Imprint Academic 2013 So what is going on in this essay? It purports to be about the pros- pects of the Singularity, and since I can count on readers of my essay For personal use only -- not for reproduction to have read Chalmers, I needn’t waste so much as a sentence on what that is or might be. See Chalmers (2010). I confess that I was initially repelled by the prospect of writing a commentary on this essay since I have heretofore viewed the Singularity as a dismal topic, involving reflections on a technological fantasy so far removed from actuality as to be an indulgence best resisted. Life is short, and there are many serious problems to think about. -
A Comprehension of Spinoza's God
A Comprehension of Spinoza's God Through the Dichotomy of Labels Tania Norell LUNDS UNIVERSITET | CENTRUM FÖR TEOLOGI OCH RELIGIONSVETENSKAP TLVM77 Philosophy of Religion Master Thesis 30 credits Supervisor: Jayne Svenungsson, Professor of Systematic Theology Examiner: Jesper Svartvik, Professor of Theology of Religions Autumn term 2015 Lund University Sweden Lund University Tania Norell Abstract: The 17 th century philosopher Spinoza is known for his concept of God as One Substance, God or Nature and therefore considered as a monist and categorized as a naturalist. He has been labeled an atheist and God-intoxicated man, as well as a determinist and pantheist, which I perceive to be dichotomies. The problem, as I see it, is that Spinoza’s philosophy and concept of God has mainly been interpreted through a dualistic mind-set, traditional to philosophers and theologians of the West, but Spinoza has a monistic worldview, and this has consequences in regards to the comprehension of what Spinoza’s concept of God entails and what a relationship “with” God implies . The labels panentheist and necessitarianist are discussed and the label of theologian argued. The thesis methodology is constructive because the purpose is to provide a theoretical foundation that has the potential to be applied in dialogues about God between the vast varieties of believers and non-believers alike, as well as across boundaries of contradicting worldviews and academic disciplines, and this focus on functionalism is inspired by a theory that calls for the furthering of inter-disciplinary dialogue between the subject areas philosophy of religion and theology specifically. My personal worldview is that there might well be One Substance, God or Nature, but that does not necessarily mean that there is one truth that is valid, but rather that all truth claims may be of value. -
An Introduction to Late British Associationism and Its Context This Is a Story About Philosophy. Or About Science
Chapter 1: An Introduction to Late British Associationism and Its Context This is a story about philosophy. Or about science. Or about philosophy transforming into science. Or about science and philosophy, and how they are related. Or were, in a particular time and place. At least, that is the general area that the following narrative will explore, I hope with sufficient subtlety. The matter is rendered non-transparent by the fact that that the conclusions one draws with regard to such questions are, in part, matters of discretionary perspective – as I will try to demonstrate. My specific historical focus will be on the propagation of a complex intellectual tradition concerned with human sensation, perception, and mental function in early nineteenth century Britain. Not only philosophical opinion, but all aspects of British intellectual – and practical – life, were in the process of significant transformation during this time. This cultural flux further confuses recovery of the situated significance of the intellectual tradition I am investigating. The study of the mind not only was influenced by a set of broad social shifts, but it also participated in them fully as both stimulus to and recipient of changing conditions. One indication of this is simply the variety of terms used to identify the ‘philosophy of mind’ as an intellectual enterprise in the eighteenth and nineteenth centuries.1 But the issue goes far deeper into the fluid constitutive features of the enterprise - including associated conceptual systems, methods, intentions of practitioners, and institutional affiliations. In order to understand philosophy of mind in its time, we must put all these factors into play. -
Turing Test Does Not Work in Theory but in Practice
Int'l Conf. Artificial Intelligence | ICAI'15 | 433 Turing test does not work in theory but in practice Pertti Saariluoma1 and Matthias Rauterberg2 1Information Technology, University of Jyväskylä, Jyväskylä, Finland 2Industrial Design, Eindhoven University of Technology, Eindhoven, The Netherlands Abstract - The Turing test is considered one of the most im- Essentially, the Turing test is an imitation game. Like any portant thought experiments in the history of AI. It is argued good experiment, it has two conditions. In the case of control that the test shows how people think like computers, but is this conditions, it is assumed that there is an opaque screen. On actually true? In this paper, we discuss an entirely new per- one side of the screen is an interrogator whose task is to ask spective. Scientific languages have their foundational limita- questions and assess the nature of the answers. On the other tions, for example, in their power of expression. It is thus pos- side, there are two people, A and B. The task of A and B is to sible to discuss the limitations of formal concepts and theory answer the questions, and the task of the interrogator is to languages. In order to represent real world phenomena in guess who has given the answer. In the case of experimental formal concepts, formal symbols must be given semantics and conditions, B is replaced by a machine (computer) and again, information contents; that is, they must be given an interpreta- the interrogator must decide whether it was the human or the tion. They key argument is that it is not possible to express machine who answered the questions. -
Advertisement for a Semantics for Psychology
MIDWEST STUDIES IN PHILOSOPHY, X (1986) Advertisement for a Semantics for Psychology NED BLOCK eaning is notoriously vague. So, it should not be surprising that se- Mmanticists (those who study meaning) have had somewhat different purposes in mind, and thus have sharpened the ordinary concept of meaning in somewhat different ways. It is a curious and unfortunate fact that semanti- cists typically tell us little about what aspects of meaning they are and are not attempting to deal with. One is given little guidance as to what extent “rival” research programs actually disagree. My purpose here is to advocate an approach to semantics relevant to the foundations of psychology, or, rather, one approach to one branch of psychology, namely cognitive science. I shall be tallung in terms of some of the leading ideas of cognitive science, most importantly the representational theory of mind, aspects of which will be sketched as they become relevant.’ The representalist doctrine that my argument depends on is that thoughts are structured entities. I know this will be a sticking point for some readers, so I will say a bit more about what this comes to, and I will compare my position with related positions that reject it. My strategy will be to begin with some desiderata. These desiderata vary along many dimensions: how central they are to meaning, how psycho- logically oriented they are, how controversial they are. I will argue that one approach to semantics (not to keep you in suspense-conceptual role seman- tics) promises to handle such desiderata better than the others that I know about. -
Wundt's "New Psychology"
Wundt's "New Psychology" Wilhelm Wundt(1832-1920) was the first professional to call himself a psychologist. He founded one of the first psychological laboratories in Leipzig, Germany, in 1879. Wundt believed the "only certain reality is immediate experience" (Blumenthal, 1975). If psychology were to be a science, then psychologists would have to collect data about experience. To do this, Wundt used procedures similar to those developed by the psychophysicists. He arranged controlled laboratory settings. He carefully administered stimulation such as sounds and sights. He gathered information about how quickly people responded to a stimulus (reaction time) and what they experienced. Wundt believed these experiments would lead to a consensus or agreement among scientists about the nature of experience. Wilhelm Wundt Wundt's approach was not unreasonable. It resembled the way most natural sciences developed in the 1800s. Science like botany and zoology began with careful observation and an effort to arrive at consensual validation (agreement among different observers). For example, biologists began with careful descriptions of plants and animals before trying to classify them. Wundt believed the same approach would work in psychology. Careful scientific observers could simply look inside themselves to see the mind in action, and they should be able to agree on the basic phenomena of psychology. After agreeing about basic observations, they could do a deeper analysis of what they had found. The technique of "looking inside" to gather data about the mind is called introspection . The problem with Wundt's program is fairly obvious to those of us in the modern world, where differences between people are taken for granted. -
THE TURING TEST RELIES on a MISTAKE ABOUT the BRAIN For
THE TURING TEST RELIES ON A MISTAKE ABOUT THE BRAIN K. L. KIRKPATRICK Abstract. There has been a long controversy about how to define and study intel- ligence in machines and whether machine intelligence is possible. In fact, both the Turing Test and the most important objection to it (called variously the Shannon- McCarthy, Blockhead, and Chinese Room arguments) are based on a mistake that Turing made about the brain in his 1948 paper \Intelligent Machinery," a paper that he never published but whose main assumption got embedded in his famous 1950 paper and the celebrated Imitation Game. In this paper I will show how the mistake is a false dichotomy and how it should be fixed, to provide a solid foundation for a new understanding of the brain and a new approach to artificial intelligence. In the process, I make an analogy between the brain and the ribosome, machines that translate information into action, and through this analogy I demonstrate how it is possible to go beyond the purely information-processing paradigm of computing and to derive meaning from syntax. For decades, the metaphor of the brain as an information processor has dominated both neuroscience and artificial intelligence research and allowed the fruitful appli- cations of Turing's computation theory and Shannon's information theory in both fields. But this metaphor may be leading us astray, because of its limitations and the deficiencies in our understanding of the brain and AI. In this paper I will present a new metaphor to consider, of the brain as both an information processor and a producer of physical effects.