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Switch to: References
Citations of:
Principles of Behavior. An Introduction to Behavior Theory [Book Review]
Journal of Philosophy 40 (20):558-559 (1943)
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In this paper I start from a definition of “culture of the artificial” which might be stated by referring to the background of philosophical, methodological, pragmatical assumptions which characterizes the development of the information processing analysis of mental processes and of some trends in contemporary cognitive science: in a word, the development of AI as a candidate science of mind. The aim of this paper is to show how (with which plausibility and limitations) the discovery of the mentioned background might (...) |
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In this paper I put forward a reconstruction of the evolution of certain explanatory hypotheses on the neural basis of association and learning that are the premises of connectionism in the cybernetic age and of present-day connectionism. The main point of my reconstruction is based on two little-known case studies. The first is the project, published in 1913, of a hydraulic machine through which its author believed it was possible to simulate certain essential elements of the plasticity of nervous connections. (...) |
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It has been suggested that the enterprise of developing mechanistic theories of the human cognitive architecture is flawed because the theories produced are not directly falsifiable. Newell attempted to sidestep this criticism by arguing for a Lakatosian model of scientific progress in which cognitive architectures should be understood as theories that develop over time. However, Newell's own candidate cognitive architecture adhered only loosely to Lakatosian principles. This paper reconsiders the role of falsification and the potential utility of Lakatosian principles in (...) |
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The implications of Warren McCulloch's 1945 concept of heterarchy are analyzed in terms of human value and motivational systems. The results demonstrate the near-impossibility of predicting behavior on the basis of any hierarchical scheme, or even which among a set of hierarchical schemes will be selected as the basis of a behavioral choice. Thus, for example, people regularly say one thing and do another. |
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Some important meta-theoretical insights about experimental psychology are integrated into the "conjectures and refutations" framework in order to reinforce a realist's view of scientific methodology. Some issues which may be difficult for the realist's position are discussed. It is argued that there is no need for the evidential observation to mimic the phenomenon of interest; such a mimicry may even be counter-productive. A case is also made that questions about ecological validity are not relevant to the rationale of experimentation. |
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The rhetoric-analytic critique of experimental psychology owes its apparent attractiveness to (a) some erroneous ideas about cognitive psychology and the rationale of experimentation, (b) the failure to distinguish between prior data and evidential data vis-à-vis the to-be-corroborated explanatory theory, and (c) evidential data owes their identity to a theory that is independent of the theory being tested. Theories in cognitive psychology are accepted because they can withstand concerted efforts to falsify them. |
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This paper presents an account of the nature of desire, informed by psychology and neuroscience, which entails that hunger is not a desire. The account is contrasted with Schroeder’s well-known empirically-informed theory of desire. It is argued that one significant virtue of the present account, in comparison with Schroeder’s theory, is that it draws a sharp distinction between desires and basic drives, such as the drive for food. One reason to draw this distinction is that experiments on incentive learning show (...) |
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This paper proposes how various disciplinary theories of cognition may be combined into a unifying, sub-symbolic, computational theory of cognition. The following theories are considered for integration: psychological theories, including the theory of event coding, event segmentation theory, the theory of anticipatory behavioral control, and concept development; artificial intelligence and machine learning theories, including reinforcement learning and generative artificial neural networks; and theories from theoretical and computational neuroscience, including predictive coding and free energy-based inference. In the light of such a (...) |
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