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  1. Testing predictions and gaining insights from dynamic state-variable models.R. C. Ydenberg - 1991 - Behavioral and Brain Sciences 14 (1):109-110.
  • 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.
  • Using models of behavior in optimal fashion.Joseph Travis - 1991 - Behavioral and Brain Sciences 14 (1):108-109.
  • Modeling change in biology and psychology.James T. Townsend - 1991 - Behavioral and Brain Sciences 14 (1):108-108.
  • Variational principles, behavioural adaptations and selection hierarchies.Eörs Szathmáry - 1991 - Behavioral and Brain Sciences 14 (1):107-108.
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  • Pitfalls and promises of behavioral modeling.Judy Stamps - 1991 - Behavioral and Brain Sciences 14 (1):106-107.
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  • A not so backward way of thinking.Peter D. Sozou & Joanna W. Byrd - 1991 - Behavioral and Brain Sciences 14 (1):106-106.
  • Short-term behavior and long-term consequences.Paul Schmid-Hempel - 1991 - Behavioral and Brain Sciences 14 (1):105-106.
  • Intentionality and communication theory.K. M. Sayre - 1986 - Behavioral and Brain Sciences 9 (1):155-165.
  • 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 (...)
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  • Rule of thumb.Jonathan Roughgarden - 1991 - Behavioral and Brain Sciences 14 (1):104-105.
  • Ecological Psychology and Enactivism: Perceptually-Guided Action vs. Sensation-Based Enaction1.Catherine Read & Agnes Szokolszky - 2020 - Frontiers in Psychology 11:532803.
    Ecological Psychology and Enactivism both challenge representationist cognitive science, but the two approaches have only begun to engage in dialogue. Further conceptual clarification is required in which differences are as important as common ground. This paper enters the dialogue by focusing on important differences. After a brief account of the parallel histories of Ecological Psychology and Enactivism, we cover incompatibility between them regarding their theories of sensation and perception. First, we show how and why in ecological theory perception is, crucially, (...)
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  • Intentionality: No mystery.William T. Powers - 1986 - Behavioral and Brain Sciences 9 (1):152-153.
  • Intentionality as internality.Don Perlis & Rosalie Hall - 1986 - Behavioral and Brain Sciences 9 (1):151-152.
  • State variable models are powerful, not perfect.Lloyd D. Partridge - 1991 - Behavioral and Brain Sciences 14 (1):104-104.
  • The “crooked bookie” cycle.F. J. Odling-Smee - 1991 - Behavioral and Brain Sciences 14 (1):103-103.
  • A total process approach to perception.Maxine Morphis - 1986 - Behavioral and Brain Sciences 9 (1):150-151.
  • Models are just prostheses for our brains.Manfred Milinski - 1991 - Behavioral and Brain Sciences 14 (1):101-101.
  • Let evolution take care of its own.Geoffrey F. Miller & Peter M. Todd - 1991 - Behavioral and Brain Sciences 14 (1):101-102.
  • Cognitive science and the pragmatics of behavior.Lawrence E. Marks - 1986 - Behavioral and Brain Sciences 9 (1):150-150.
  • Limits to stochastic dynamic programming.Ruth H. Mace & William J. Sutherland - 1991 - Behavioral and Brain Sciences 14 (1):101-101.
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  • Intrinsic versus contrived intentionality.Donald M. MacKay - 1986 - Behavioral and Brain Sciences 9 (1):149-150.
  • The relationship between information theory, statistical mechanics, evolutionary theory, and cognitive Science.Michael Leyton - 1986 - Behavioral and Brain Sciences 9 (1):148-149.
  • Semantic information: Inference rules + memory.Michael Lebowitz - 1986 - Behavioral and Brain Sciences 9 (1):147-148.
  • Knowledge without Truth.Joseph Thomas Tolliver - 1989 - Philosophical Studies 56 (1):29-51.
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  • Information, causality, and intentionality.David Kelley - 1986 - Behavioral and Brain Sciences 9 (1):147-147.
  • Modeling adaptation in the next generation: A developmental perspective.Mark L. Howe, William A. Montevecchi, F. Michael Rabsnowitz & Michael J. Stones - 1991 - Behavioral and Brain Sciences 14 (1):100-101.
  • The next state of the art.Alasdair I. Houston & John M. McNamara - 1991 - Behavioral and Brain Sciences 14 (1):100-100.
  • Dynamic models, fitness functions and food storing.Christine L. Hitchcock & David F. Sherry - 1991 - Behavioral and Brain Sciences 14 (1):99-99.
  • Intentionality and the explanation of behavior.John Heil - 1986 - Behavioral and Brain Sciences 9 (1):146-147.
  • Uncertainty about information.Ian E. Gordon - 1986 - Behavioral and Brain Sciences 9 (1):146-146.
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  • On some specific models of intentional behavior.Richard M. Golden - 1986 - Behavioral and Brain Sciences 9 (1):144-145.
  • Can dynamic optimization cope with ecological complexity.Stefano Focardi - 1991 - Behavioral and Brain Sciences 14 (1):98-99.
  • Rules of choice.Edmund Fantino - 1991 - Behavioral and Brain Sciences 14 (1):97-98.
  • Information is in the eye of the beholder.Rhea T. Eskew - 1986 - Behavioral and Brain Sciences 9 (1):144-144.
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  • Intentionality and information theory.David P. Ellerman - 1986 - Behavioral and Brain Sciences 9 (1):143-144.
  • Neither superorganisms nor mere species aggregates: Charles Elton’s sociological analogies and his moderate holism about ecological communities.Antoine C. Dussault - 2020 - History and Philosophy of the Life Sciences 42 (2):1-27.
    This paper analyzes community ecologist Charles Elton’s ideas on animal communities, and situates them with respect to the classical opposition between organicist–holistic and individualistic–reductionist ecological views drawn by many historians of ecology. It is argued that Elton espoused a moderate ecological holism, which drew a middle way between the stricter ecological holism advocated by organicist ecologists and the merely aggregationist views advocated by some of their opponents. It is also argued that Elton’s moderate ecological holism resonated with his preference for (...)
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  • Functionalism without Selectionism: Charles Elton's "Functional" Niche and the Concept of Ecological Function.Antoine C. Dussault - 2022 - Biological Theory 17 (1):52-67.
    This article offers an analysis of ecologist Charles Elton’s “functional” concept of the niche and of the notion of function implicitly associated with it. It does so in part by situating Elton’s niche concept within the broader context of the “functionalist-interactionist” approach to ecology he introduced, and in relation to his views on the relationship between ecology and evolution. This involves criticizing the common claim that Elton’s idea of species as fulfilling functional roles within ecological communities committed him to an (...)
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  • Stalking intentionality.Fred I. Dretske - 1986 - Behavioral and Brain Sciences 9 (1):142-143.
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  • Dynamic programming, limited information and behavioral modeling.Bradley W. Dickinson - 1991 - Behavioral and Brain Sciences 14 (1):96-97.
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  • Engineering's baby.Daniel C. Dennett - 1986 - Behavioral and Brain Sciences 9 (1):141-142.
  • Communication theory and intentionality.John G. Daugman - 1986 - Behavioral and Brain Sciences 9 (1):140-141.
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  • Gaps in the optimization approach to behavior.Patrick Colgan & Ian Jamieson - 1991 - Behavioral and Brain Sciences 14 (1):95-96.
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  • Modeling behavioral adaptations.Colin W. Clark - 1991 - Behavioral and Brain Sciences 14 (1):85-93.
    Optimization models have often been useful in attempting to understand the adaptive significance of behavioral traits. Originally such models were applied to isolated aspects of behavior, such as foraging, mating, or parental behavior. In reality, organisms live in complex, ever-changing environments, and are simultaneously concerned with many behavioral choices and their consequences. This target article describes a dynamic modeling technique that can be used to analyze behavior in a unified way. The technique has been widely used in behavioral studies of (...)
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  • Dynamic optimization: Let's get on with the job.Colin W. Clark - 1991 - Behavioral and Brain Sciences 14 (1):110-117.
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  • Semantic content: In defense of a network approach.Paul M. Churchland - 1986 - Behavioral and Brain Sciences 9 (1):139-140.
  • 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.
  • Learning and incremental dynamic programming.Andrew G. Barto - 1991 - Behavioral and Brain Sciences 14 (1):94-95.
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  • Dynamic models of behavior: Promising but risky.Thomas R. Alley - 1991 - Behavioral and Brain Sciences 14 (1):94-94.
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  • Competition theory, evolution, and the concept of an ecological niche.Thomas R. Alley - 1982 - Acta Biotheoretica 31 (3):165-179.
    This article examines some of the main tenets of competition theory in light of the theory of evolution and the concept of an ecological niche. The principle of competitive exclusion and the related assumption that communities exist at competitive equilibrium - fundamental parts of many competition theories and models - may be violated if non-equilibrium conditions exist in natural communities or are incorporated into competition models. Furthermore, these two basic tenets of competition theory are not compatible with the theory of (...)
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