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  1. From meta-processes to conscious access: Evidence from children's metalinguistic and repair data.Annette Karmiloff-Smith -1986 -Cognition 23 (2):95-147.
  • The Computer Revolution in Philosophy: Philosophy, Science, and Models of Mind.Aaron Sloman -1978 - Hassocks UK: Harvester Press.
    Extract from Hofstadter's revew in Bulletin of American Mathematical Society : http://www.ams.org/journals/bull/1980-02-02/S0273-0979-1980-14752-7/S0273-0979-1980-14752-7.pdf -/- "Aaron Sloman is a man who is convinced that most philosophers and many other students of mind are in dire need of being convinced that there has been a revolution in that field happening right under their noses, and that they had better quickly inform themselves. The revolution is called "Artificial Intelligence" (Al)-and Sloman attempts to impart to others the "enlighten- ment" which he clearly regrets not having (...) experienced earlier himself. Being somewhat of a convert, Sloman is a zealous campaigner for his point of view. Now a Reader in Cognitive Science at Sussex, he began his academic career in more orthodox philosophy and, by exposure to linguistics and AI, came to feel that all approaches to mind which ignore AI are missing the boat. I agree with him, and I am glad that he has written this provocative book. The tone of Sloman's book can be gotten across by this quotation (p. 5): "I am prepared to go so far as to say that within a few years, if there remain any philosophers who are not familiar with some of the main developments in artificial intelligence, it will be fair to accuse them of professional incom- petence, and that to teach courses in philosophy of mind, epistemology, aesthetics, philosophy of science, philosophy of language, ethics, metaphysics, and other main areas of philosophy, without discussing the relevant aspects of artificial intelligence will be as irresponsible as giving a degree course in physics which includes no quantum theory." -/- (The author now regrets the extreme polemical tone of the book.). (shrink)
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  • 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 (...) by the nature of each species' adaptation to the particular requirements of its natural environment. The biological boundaries approach has served an important critical function in the move away from general process learning theory, but it is limited in its ability to provide an alternative to the general process approach. In particular, the biological boundaries approach lacks generality, it is in some respects subservient to the general process tradition, and its ecological content is in too many cases limited toex post factoadaptive explanations of learning skills. A contrasting, ecological approach to learning, which can provide a true alternative to general process theory, is presented. The ecological approach begins by providing an ecological task description for naturally occurring instances of learning; this step answers the question:Whatdoes this animal learn to do? The next step is an analysis of the means by which learning occurs in the course of development, answering the question:Howdoes the animal learn to do this? On the basis of such analyses, local principles of adaptation are formulated to account for the learning abilities of individual species. More global principles are sought by generalization among these local principles and may form the basis for a general ecological theory of learning. (shrink)
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  • Against direct perception.Shimon Ullman -1980 -Behavioral and Brain Sciences 3 (3):333-81.
    Central to contemporary cognitive science is the notion that mental processes involve computations defined over internal representations. This view stands in sharp contrast to the to visual perception and cognition, whose most prominent proponent has been J.J. Gibson. In the direct theory, perception does not involve computations of any sort; it is the result of the direct pickup of available information. The publication of Gibson's recent book (Gibson 1979) offers an opportunity to examine his approach, and, more generally, to contrast (...) the theory of direct perception with the computational/representational view. In the first part of the present article (Sections 2direct perceptioncase study”: the problem of perceiving the three-dimensional shape of moving objects is examined. This problem, which has been extensively studied within the immediate perception framework, serves to illustrate some of the inherent shortcomings of that approach. Finally, in Section 5, an attempt is made to place the theory of direct perception in perspective by embedding it in a more comprehensive framework. (shrink)
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  • Intentionality and information processing: An alternative model for cognitive science.Kenneth M. Sayre -1986 -Behavioral and Brain Sciences 9 (1):121-38.
    This article responds to two unresolved and crucial problems of cognitive science: (1) What is actually accomplished by functions of the nervous system that we ordinarily describe in the intentional idiom? and (2) What makes the information processing involved in these functions semantic? It is argued that, contrary to the assumptions of many cognitive theorists, the computational approach does not provide coherent answers to these problems, and that a more promising start would be to fall back on mathematical communication theory (...) and, with the help of evolutionary biology and neurophysiology, to attempt a characterization of the adaptive processes involved in visual perception. Visual representations are explained as patterns of cortical activity that are enabled to focus on objects in the changing visual environment by constantly adjusting to maintain levels of mutual information between pattern and object that are adequate for continuing perceptual control. In these terms, the answer proposed to (1) is that the intentional functions of vision are those involved in the establishment and maintenance of such representations, and to (2) that semantic features are added to the information processes of vision with the focus on objects that these representations accomplish. The article concludes with proposals for extending this account of intentionality to the higher domains of conceptualization and reason, and with speculation about how semantic information-processing might be achieved in mechanical systems. (shrink)
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  • The Computer Revolution in Philosophy.Martin Atkinson &Aaron Sloman -1980 -Philosophical Quarterly 30 (119):178.
  • A fourth approach to the study of learning: Are “processes” really necessary?John C. Malone -1981 -Behavioral and Brain Sciences 4 (1):151-152.
  • General process theory, ecology, and animal-human continuity: A cognitive perspective.Janet L. Lachman &Roy Lachman -1981 -Behavioral and Brain Sciences 4 (1):149-150.
  • Is an ecological approach radical enough?H. C. Plotkin &F. J. Odling-Smee -1981 -Behavioral and Brain Sciences 4 (1):154-155.
  • A Delicate Balancing Act: Integrative Pluralism and the Pursuit of Unified Theories.Marcin Miłkowski -forthcoming -Foundations of Science.
    This paper examines the interplay between integrative explanatory pluralism and the quest for unified theories. We argue that when grounded in virtues associated with satisfactory explanations, integrative pluralism exhibits an inherent instability stemming from the conflict between the demand for unity and the commitment to preserving a patchwork of disparate partial explanations. A case study in cognitive science illuminates the challenges of maintaining both systematicity and depth in explanations within this framework. While this instability does not render integrative pluralism fundamentally (...) flawed, it stresses the importance of a diachronic analysis of scientific dynamics and norms. The conclusion highlights the continued value of integrative pluralism in interdisciplinary research programs, while emphasizing its role as a temporary rather than permanent approach. (shrink)
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  • Learning theory in its niche.Howard Rachlin -1981 -Behavioral and Brain Sciences 4 (1):155-156.
  • (1 other version)Forms of Luminosity: Epistemic Modality and Hyperintensionality in Mathematics.David Elohim -2017 - Dissertation, Arché, University of St Andrews
    This book concerns the foundations of epistemic modality and hyperintensionality and their applications to the philosophy of mathematics. David Elohim examines the nature of epistemic modality, when the modal operator is interpreted as concerning both apriority and conceivability, as well as states of knowledge and belief. The book demonstrates how epistemic modality and hyperintensionality relate to the computational theory of mind; metaphysical modality and hyperintensionality; the types of mathematical modality and hyperintensionality; to the epistemic status of large cardinal axioms, undecidable (...) propositions, and abstraction principles in the philosophy of mathematics; to the modal and hyperintensional profiles of the logic of rational intuition; and to the types of intention, when the latter is interpreted as a hyperintensional mental state. Chapter \textbf{2} argues for a novel type of expressivism based on the duality between the categories of coalgebras and algebras, and argues that the duality permits of the reconciliation between modal and hyperintensional cognitivism and modal and hyperintensional expressivism. Elohim develops a novel, topic-sensitive truthmaker semantics for dynamic epistemic logic, and develops a novel, dynamic two-dimensional semantics grounded in two-dimensional hyperintensional Turing machines. Chapter \textbf{3} provides an abstraction principle for two-dimensional (hyper-)intensions. Chapter \textbf{4} advances a topic-sensitive two-dimensional truthmaker semantics, and provides three novel interpretations of the framework along with the epistemic and metasemantic. Chapter \textbf{5} applies the fixed points of the modal $\mu$-calculus in order to account for the iteration of epistemic states in a single agent, by contrast to availing of modal axiom 4 (i.e. the KK principle). The fixed point operators in the modal $\mu$-calculus are rendered hyperintensional, which yields the first hyperintensional construal of the modal $\mu$-calculus in the literature and the first application of the calculus to the iteration of epistemic states in a single agent instead of the common knowledge of a group of agents. Chapter \textbf{6} advances a solution to the Julius Caesar problem based on Fine's `criterial' identity conditions which incorporate conditions on essentiality and grounding. Chapter \textbf{7} provides a ground-theoretic regimentation of the proposals in the metaphysics of consciousness and examines its bearing on the two-dimensional conceivability argument against physicalism. The topic-sensitive epistemic two-dimensional truthmaker semantics developed in chapters \textbf{2} and \textbf{4} is availed of in order for epistemic states to be a guide to metaphysical states in the hyperintensional setting. -/- Chapters \textbf{8-12} provide cases demonstrating how the two-dimensional hyperintensions of hyperintensional, i.e. topic-sensitive epistemic two-dimensional truthmaker, semantics, solve the access problem in the epistemology of mathematics. Chapter \textbf{8} examines the interaction between Elohim's hyperintensional semantics and the axioms of epistemic set theory, large cardinal axioms, the Epistemic Church-Turing Thesis, the modal axioms governing the modal profile of $\Omega$-logic, Orey sentences such as the Generalized Continuum Hypothesis, and absolute decidability. These results yield inter alia the first hyperintensional Epistemic Church-Turing Thesis and hyperintensional epistemic set theories in the literature. Chapter \textbf{9} examines the modal and hyperintensional commitments of abstractionism, in particular necessitism, and epistemic hyperintensionality, epistemic utility theory, and the epistemology of abstraction. Elohim countenances a hyperintensional semantics for novel epistemic abstractionist modalities. Elohim suggests, too, that higher observational type theory can be applied to first-order abstraction principles in order to make first-order abstraction principles recursively enumerable, i.e. Turing machine computable, and that the truth of the first-order abstraction principle for two-dimensional hyperintensions is grounded in its being possibly recursively enumerable and the machine being physically implementable. Chapter \textbf{10} examines the philosophical significance of hyperintensional $\Omega$-logic in set theory and discusses the hyperintensionality of metamathematics. Chapter \textbf{11} provides a modal logic for rational intuition and provides a hyperintensional semantics. Chapter \textbf{12} avails of modal coalgebras to interpret the defining properties of indefinite extensibility, and avails of hyperintensional epistemic two-dimensional semantics in order to account for the interaction between interpretational and objective modalities and the truthmakers thereof. This yields the first hyperintensional category theory in the literature. Elohim invents a new mathematical trick in which first-order structures are treated as categories, and Vopenka's principle can be satisfied because of the elementary embeddings between the categories and generate Vopenka cardinals in the category of Set in category theory. Chapter \textbf{13} examines modal responses to the alethic paradoxes. Elohim provides a counter-example to epistemic closure for logical deduction. Chapter \textbf{14} examines, finally, the modal and hyperintensional semantics for the different types of intention and the relation of the latter to evidential decision theory. (shrink)
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  • Direct vs. representational views of cognition: A parallel between vision and phonology.Samuel Jay Keyser &Steven Pinker -1980 -Behavioral and Brain Sciences 3 (3):389-390.
  • An ecological approach to a theory of learning.Timothy D. Johnston -1981 -Behavioral and Brain Sciences 4 (1):162-173.
  • Difficulties with a direct theory of perception.Irvin Rock -1980 -Behavioral and Brain Sciences 3 (3):398-399.
  • Intentionally: A problem of multiple reference frames, specificational information, and extraordinary boundary conditions on natural law.M. T. Turvey -1986 -Behavioral and Brain Sciences 9 (1):153-155.
  • Cognitivism about Epistemic Modality and Hyperintensionality.David Elohim -manuscript
    This essay aims to vindicate the thesis that cognitive computational properties are abstract objects implemented in physical systems. I avail of Voevodsky's Univalence Axiom and function type equivalence in Homotopy Type Theory, in order to specify an abstraction principle for epistemic (hyper-)intensions. The homotopic abstraction principle for epistemic (hyper-)intensions provides an epistemic conduit for our knowledge of (hyper-)intensions as abstract objects. Higher observational type theory might be one way to make first-order abstraction principles defined via inference rules, although not higher-order (...) abstraction principles, computable. The truth of my first-order abstraction principle for hyperintensions is grounded in its being possibly recursively enumerable i.e. Turing computable and the Turing machine being physically implementable. Epistemic modality and hyperintensionality can thus be shown to be both a compelling and a materially adequate candidate for the fundamental structure of mental representational states, comprising a fragment of the language of thought. (shrink)
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  • Intentionality and communication theory.K. M. Sayre -1986 -Behavioral and Brain Sciences 9 (1):155-165.
  • Semantic content: In defense of a network approach.Paul M. Churchland -1986 -Behavioral and Brain Sciences 9 (1):139-140.
  • Intentionality and information theory.David P. Ellerman -1986 -Behavioral and Brain Sciences 9 (1):143-144.
  • A theory of learning - not even déjà vu.George W. Barlow &Stephen E. Glickman -1981 -Behavioral and Brain Sciences 4 (1):141-142.
  • Ecology and learning.Alan C. Kamil -1981 -Behavioral and Brain Sciences 4 (1):147-148.
  • Explaining diversity and searching for general processes: Isn't there a middle ground?Paul Rozin -1981 -Behavioral and Brain Sciences 4 (1):157-158.
  • An ecological theory of learning: Good goal, poor strategy.Sara J. Shettleworth -1981 -Behavioral and Brain Sciences 4 (1):160-161.
  • Not an alternative model for intentionality in vision.R. Brown,D. C. Earle &S. E. G. Lea -1986 -Behavioral and Brain Sciences 9 (1):138-139.
  • Intentionality and the explanation of behavior.John Heil -1986 -Behavioral and Brain Sciences 9 (1):146-147.
  • Intrinsic versus contrived intentionality.Donald M. MacKay -1986 -Behavioral and Brain Sciences 9 (1):149-150.
  • A total process approach to perception.Maxine Morphis -1986 -Behavioral and Brain Sciences 9 (1):150-151.
  • Intentionality as internality.Don Perlis &Rosalie Hall -1986 -Behavioral and Brain Sciences 9 (1):151-152.
  • Intentionality: No mystery.William T. Powers -1986 -Behavioral and Brain Sciences 9 (1):152-153.
  • Cognitive science and the pragmatics of behavior.Lawrence E. Marks -1986 -Behavioral and Brain Sciences 9 (1):150-150.
  • Abstract machine theory and direct perception.Robert Shaw &James Todd -1980 -Behavioral and Brain Sciences 3 (3):400-401.
  • Aaron Sloman,The Computer Revolution in Philosophy: Philosophy, Science and Models of Mind[REVIEW]Stephen P. Stich -1981 -Philosophical Review 90 (2):300-307.
  • Direct perception or adaptive resonance?Stephen Grossberg -1980 -Behavioral and Brain Sciences 3 (3):385-386.
  • Animal-environment mutuality and direct perception.Sandra S. Prindle,Claudia Carello &M. T. Turvey -1980 -Behavioral and Brain Sciences 3 (3):395-397.
  • Cognitivism about Epistemic Modality.David Elohim -manuscript
    This paper aims to vindicate the thesis that cognitive computational properties are abstract objects implemented in physical systems. I avail of the equivalence relations countenanced in Homotopy Type Theory, in order to specify an abstraction principle for epistemic intensions. The homotopic abstraction principle for epistemic intensions provides an epistemic conduit into our knowledge of intensions as abstract objects. I examine, then, how intensional functions in Epistemic Modal Algebra are deployed as core models in the philosophy of mind, Bayesian perceptual psychology, (...) and the program of natural language semantics in linguistics, and I argue that this provides abductive support for the truth of homotopic abstraction. Epistemic modality can thus be shown to be both a compelling and a materially adequate candidate for the fundamental structure of mental representational states, comprising a fragment of the Language of Thought. (shrink)
     
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  • The relevance of phylogenetics to the study of behavioral diversity.Michael T. Ghiselin -1981 -Behavioral and Brain Sciences 4 (1):144-145.
  • Why argue about direct perception?J. J. Koenderink -1980 -Behavioral and Brain Sciences 3 (3):390-391.
  • Literature from cognitive psychology.Zenon W. Pylyshyn -1982 -Artificial Intelligence 19 (3):251-255.
  • There is more to psychological meaningfulness than computation and representation.Sverker Runeson -1980 -Behavioral and Brain Sciences 3 (3):399-400.
  • Principles of learning and the ecological style of inquiry.Thomas R. Alley &Robert E. Shaw -1981 -Behavioral and Brain Sciences 4 (1):139-141.
  • Linking the biological functions and the mechanisms of learning: Uses and abuses.Patrick Bateson -1981 -Behavioral and Brain Sciences 4 (1):142-142.
  • Direct perception: an opponent and a precursor of computational theories.O. J. Braddick -1980 -Behavioral and Brain Sciences 3 (3):381-382.
  • Direct perception and a call for primary perception.Bruce Bridgeman -1980 -Behavioral and Brain Sciences 3 (3):382-383.
  • An ecological approach toward a unified theory of learning.William R. Charlesworth -1981 -Behavioral and Brain Sciences 4 (1):142-143.
  • Communication theory and intentionality.John G. Daugman -1986 -Behavioral and Brain Sciences 9 (1):140-141.
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  • Engineering's baby.Daniel C. Dennett -1986 -Behavioral and Brain Sciences 9 (1):141-142.
  • The function and process of perception.Jonathan F. Doner &Joseph S. Lappin -1980 -Behavioral and Brain Sciences 3 (3):383-384.
  • Stalking intentionality.Fred I. Dretske -1986 -Behavioral and Brain Sciences 9 (1):142-143.
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  • Direct perception or mediated perception: a comparison of rival viewpoints.William Epstein -1980 -Behavioral and Brain Sciences 3 (3):384-385.

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