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Perception and discovery

San Francisco,: Freeman, Cooper. Edited by Matthew D. Lund (1969)

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  1. Minds, brains, and programs.John Searle - 1980 - Behavioral and Brain Sciences 3 (3):417-57.
    What psychological and philosophical significance should we attach to recent efforts at computer simulations of human cognitive capacities? In answering this question, I find it useful to distinguish what I will call "strong" AI from "weak" or "cautious" AI. According to weak AI, the principal value of the computer in the study of the mind is that it gives us a very powerful tool. For example, it enables us to formulate and test hypotheses in a more rigorous and precise fashion. (...)
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  • On the what_ and _how of learning.R. C. Gonzalez & Matthew Yarczower - 1981 - Behavioral and Brain Sciences 4 (1):145-145.
  • Contrasting approaches to a theory of learning.Timothy D. Johnston - 1981 - Behavioral and Brain Sciences 4 (1):125-139.
    The general process view of learning, which guided research into learning for the first half of this century, has come under attack in recent years from several quarters. One form of criticism has come from proponents of the so-called biological boundaries approach to learning. These theorists have presented a variety of data showing that supposedly general laws of learning may in fact be limited in their applicability to different species and learning tasks, and they argue that the limitations are drawn (...)
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  • The meaning of representation in animal memory.H. L. Roitblat - 1982 - Behavioral and Brain Sciences 5 (3):353-372.
    A representation is a remnant of previous experience that allows that experience to affect later behavior. This paper develops a metatheoretical view of representation and applies it to issues concerning representation in animals. To describe a representational system one must specify the following: thedomainor range of situations in the represented world to which the system applies; thecontentor set of features encoded and preserved by the system; thecodeor transformational rules relating features of the representation to the corresponding features of the represented (...)
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  • Theoretical contingencies.B. F. Skinner - 1984 - Behavioral and Brain Sciences 7 (4):541-546.
  • Behavioral and statistical theorists and their disciples.Leroy Wolins - 1984 - Behavioral and Brain Sciences 7 (4):540-541.
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  • Psychology: Toward the mathematical inner man.James T. Townsend - 1984 - Behavioral and Brain Sciences 7 (4):539-540.
  • Behavior, theories, and the inner.Ernest Sosa - 1984 - Behavioral and Brain Sciences 7 (4):537-539.
  • The question: Not shall_ it be, but _which shall it be?Charles P. Shimp - 1984 - Behavioral and Brain Sciences 7 (4):536-537.
  • Theories and human behavior.Morton L. Schagrin - 1984 - Behavioral and Brain Sciences 7 (4):536-536.
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  • Current questions for the science of behavior.Kenneth M. Sayre - 1984 - Behavioral and Brain Sciences 7 (4):535-535.
  • The dark side of Skinnerian epistemology.William W. Rozeboom - 1984 - Behavioral and Brain Sciences 7 (4):533-535.
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  • What then should we do?Seth Roberts - 1984 - Behavioral and Brain Sciences 7 (4):532-533.
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  • Are Skinner's warnings still relevant to current psychology?Marc N. Richelle - 1984 - Behavioral and Brain Sciences 7 (4):531-532.
  • Lessons from the history of science?John M. Nicholas - 1984 - Behavioral and Brain Sciences 7 (4):530-531.
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  • Skinner's philosophy of method.R. J. Nelson - 1984 - Behavioral and Brain Sciences 7 (4):529-530.
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  • Should we return to the laboratory to find out about learning?J. M. E. Moravcsik - 1984 - Behavioral and Brain Sciences 7 (4):529-529.
  • Cognitive science: A different approach to scientific psychology.Richard Millward - 1984 - Behavioral and Brain Sciences 7 (4):527-529.
  • The role of the statistician in psychology.F. H. C. Marriott - 1984 - Behavioral and Brain Sciences 7 (4):527-527.
  • The challenge to Skinner's theory of behavior.Brian Mackenzie - 1984 - Behavioral and Brain Sciences 7 (4):526-527.
  • Behavior theory: A contradiction in terms?R. Duncan Luce - 1984 - Behavioral and Brain Sciences 7 (4):525-526.
  • Real people, ordinary language, and natural measurement.Samuel M. Deitz - 1984 - Behavioral and Brain Sciences 7 (4):524-525.
  • Methods and theories in the experimental analysis of behavior.B. F. Skinner - 1984 - Behavioral and Brain Sciences 7 (4):511-523.
    We owe most scientific knowledge to methods of inquiry that are never formally analyzed. The analysis of behavior does not call for hypothetico-deductive methods. Statistics, taught in lieu of scientific method, is incompatible with major features of much laboratory research. Squeezing significance out of ambiguous data discourages the more promising step of scrapping the experiment and starting again. As a consequence, psychologists have taken flight from the laboratory. They have fled to Real People and the human interest of “real life,” (...)
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  • The heuristic value of representation.Thomas R. Zentall - 1982 - Behavioral and Brain Sciences 5 (3):393-394.
  • Mind the brain.Martha Wilson - 1982 - Behavioral and Brain Sciences 5 (3):393-393.
  • Computers, cognition and philosophy.Robert Wilensky - 1980 - Behavioral and Brain Sciences 3 (3):449-450.
  • Missing variables in studies of animal learning.Wally Welker - 1981 - Behavioral and Brain Sciences 4 (1):161-161.
  • The thermostat and the philosophy professor.Donald O. Walter - 1980 - Behavioral and Brain Sciences 3 (3):449-449.
  • Not “pain and behavior” but pain in behavior.Patrick D. Wall - 1985 - Behavioral and Brain Sciences 8 (1):73-73.
  • Internal representations and indeterminacy: A skeptical view.William R. Uttal - 1982 - Behavioral and Brain Sciences 5 (3):392-393.
  • The reign of pain fails mainly in the brain.Dennis C. Turk & Peter Salovey - 1985 - Behavioral and Brain Sciences 8 (1):72-73.
  • «Hanson and Kuhn on Observation Reports and Knowledge Claims».Paul Tibbetts - 1975 - Dialectica 29 (2‐3):145-155.
  • Animal versus human minds.H. S. Terrace - 1982 - Behavioral and Brain Sciences 5 (3):391-392.
  • Perceiving and Desiring: A New Look at the Cognitive Penetrability of Experience.Dustin Stokes - 2012 - Philosophical Studies 158 (3):479-92.
    This paper considers an orectic penetration hypothesis which says that desires and desire-like states may influence perceptual experience in a non-externally mediated way. This hypothesis is clarified with a definition, which serves further to distinguish the interesting target phenomenon from trivial and non-genuine instances of desire-influenced perception. Orectic penetration is an interesting possible case of the cognitive penetrability of perceptual experience. The orectic penetration hypothesis is thus incompatible with the more common thesis that perception is cognitively impenetrable. It is of (...)
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  • Attention and the Cognitive Penetrability of Perception.Dustin Stokes - 2018 - Australasian Journal of Philosophy 96 (2):303-318.
    One sceptical rejoinder to those who claim that sensory perception is cognitively penetrable is to appeal to the involvement of attention. So, while a phenomenon might initially look like one where, say, a perceiver’s beliefs are influencing her visual experience, another interpretation is that because the perceiver believes and desires as she does, she consequently shifts her spatial attention so as to change what she senses visually. But, the sceptic will urge, this is an entirely familiar phenomenon, and it hardly (...)
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  • In the beginning was the word.J. E. R. Staddon - 1982 - Behavioral and Brain Sciences 5 (3):390-391.
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  • Simulation games.William E. Smythe - 1980 - Behavioral and Brain Sciences 3 (3):448-449.
  • How to turn an information processor into an understander.Aaron Sloman & Monica Croucher - 1980 - Behavioral and Brain Sciences 3 (3):447-448.
  • Quark quantum numbers and the problem of microphysical observation.K. S. Shrader-Frechette - 1982 - Synthese 50 (1):125 - 145.
    The main question addressed in this essay is whether quarks have been observed in any sense and, if so, what might be meant by this use of the term, observation. In the first (or introductory) section of the paper, I explain that well-known researchers are divided on the answers to these important questions. In the second section, I investigate microphysical observation in general. Here I argue that Wilson's analogy between observation by means of high-energy accelerators and observation by means of (...)
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  • Molar behaviorism, positivism, and pain.Charles P. Shimp - 1985 - Behavioral and Brain Sciences 8 (1):71-72.
  • Historicism, behaviorism, and the conceptual status of memory representations in animals.Charles P. Shimp - 1982 - Behavioral and Brain Sciences 5 (3):389-390.
  • Expectancy: The endogenous source of anticipatory activities, including “pseudoconditioned” responses.Patrick J. Sheafor - 1982 - Behavioral and Brain Sciences 5 (3):387-389.
  • An ecological theory of learning: Good goal, poor strategy.Sara J. Shettleworth - 1981 - Behavioral and Brain Sciences 4 (1):160-161.
  • Pain without behavior: Inhibition of reactions to sensation.Kelly G. Shaver & Jana J. Herrman - 1985 - Behavioral and Brain Sciences 8 (1):71-71.
  • Metatheory of animal behavior.Erwin M. Segal - 1982 - Behavioral and Brain Sciences 5 (3):386-387.
  • Intrinsic intentionality.John Searle - 1980 - Behavioral and Brain Sciences 3 (3):450-457.
  • Understanding Searle.Roger C. Schank - 1980 - Behavioral and Brain Sciences 3 (3):446-447.
  • The ecology of learning: The right answer to the wrong question.Barry Schwartz - 1981 - Behavioral and Brain Sciences 4 (1):159-160.
  • Adaptive modification of behavior: Processing information from the environment.Wolfgang M. Schleidt - 1981 - Behavioral and Brain Sciences 4 (1):158-159.
  • What is so practical about theory? Lewin revisited.Lloyd E. Sandelands - 1990 - Journal for the Theory of Social Behaviour 20 (3):235–262.
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