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  1. The dynamics of perception and action.William H. Warren - 2006 - Psychological Review 113 (2):358-389.
  • On the linear relation between the mean and the standard deviation of a response time distribution.Eric-Jan Wagenmakers & Scott Brown - 2007 - Psychological Review 114 (3):830-841.
  • What do double dissociations prove?G. Van Orden - 2001 - Cognitive Science 25 (1):111-172.
    Brain damage may doubly dissociate cognitive modules, but the practice of revealing dissociations is predicated on modularity being true (T. Shallice, 1988). This article questions the utility of assuming modularity, as it examines a paradigmatic double dissociation of reading modules. Reading modules illustrate two general problems. First, modularity fails to converge on a fixed set of exclusionary criteria that define pure cases. As a consequence, competing modular theories force perennial quests for purer cases, which simply perpetuates growth in the list (...)
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  • Self-organization of cognitive performance.Guy C. Van Orden, John G. Holden & Michael T. Turvey - 2003 - Journal of Experimental Psychology: General 132 (3):331.
  • The Pervasiveness of 1/f Scaling in Speech Reflects the Metastable Basis of Cognition.Christopher T. Kello, Gregory G. Anderson, John G. Holden & Guy C. Van Orden - 2008 - Cognitive Science 32 (7):1217-1231.
    Human neural and behavioral activities have been reported to exhibit fractal dynamics known as 1/f noise, which is more aptly named 1/f scaling. Some argue that 1/f scaling is a general and pervasive property of the dynamical substrate from which cognitive functions are formed. Others argue that it is an idiosyncratic property of domain‐specific processes. An experiment was conducted to investigate whether 1/f scaling pervades the intrinsic fluctuations of a spoken word. Ten participants each repeated the word bucket over 1,000 (...)
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  • Cognitive emissions of 1/f noise.David L. Gilden - 2001 - Psychological Review 108 (1):33-56.
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  • Word frequency, repetition, and lexicality effects in word recognition tasks: Beyond measures of central tendency.David A. Balota & Daniel H. Spieler - 1999 - Journal of Experimental Psychology: General 128 (1):32.
  • The Rise of Statistical Thinking, 1820-1900.Theodore M. Porter - 1986 - Princeton University Press: Princeton.
    Emphasizing the debt of science to nonspecialist intellectuals, Theodore Porter describes in detail the nineteenth-century background that produced the burst of modern statistical innovation of the early 1900s. Statistics arose as a study of society--the science of the statist--and the pioneering statistical physicists and biologists, Maxwell, Boltzmann, and Galton, each introduced statistical models by pointing to analogies between his discipline and social science.
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  • The History of Statistics: The Measurement of Uncertainty Before 1900.Stephen M. Stigler - 1986 - Harvard University Press: Cambridge.
    Stigler shows how statistics arose from the interplay of mathematical concepts and the needs of several applied sciences. His emphasis is upon how methods of probability theory were developed for measuring uncertainty, for reducing uncertainty, and as a conceptual framework for quantitative studies in the social sciences.
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  • The Lure of Modern Science: Fractal Thinking.Bruce J. West, Bill Deering & William D. Deering - 1995 - World Scientific.
    The authors describe mostly in non-technical language the development of a new scientific paradigm based on nonlinear deterministic dynamics and fractal geometry. The concepts from these two mathematical disciplines are interwoven with data from the physical, social and life sciences. In this way rather sophisticated mathematical concepts are made accessible through experimental data from various disciplines, and the formalism is relegated to appendices. It is shown that the complexity of natural and social phenomena invariably lead to inverse power law distributions, (...)
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  • How Nature Works: The Science of Self-Organized Criticality.Per Bak - 1996 - Copernicus.
    Self-organized criticality, the spontaneous development of systems to a critical state, is the first general theory of complex systems with a firm mathematical basis. This theory describes how many seemingly desperate aspects of the world, from stock market crashes to mass extinctions, avalanches to solar flares, all share a set of simple, easily described properties. "...a'must read'...Bak writes with such ease and lucidity, and his ideas are so intriguing...essential reading for those interested in complex systems...it will reward a sufficiently skeptical (...)
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  • Self-organized criticality: emergent complex behavior in physical and biological systems.Henrik Jeldtoft Jensen - 1998 - New York: Cambridge University Press.
    Self-organized criticality (SOC) is based upon the idea that complex behavior can develop spontaneously in certain multi-body systems whose dynamics vary abruptly. This book is a clear and concise introduction to the field of self-organized criticality, and contains an overview of the main research results. The author begins with an examination of what is meant by SOC, and the systems in which it can occur. He then presents and analyzes computer models to describe a number of systems, and he explains (...)
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  • Beyond the Learning Curve: The Construction of Mind.Craig P. Speelman & Kim Kirsner - 2005 - Oxford University Press.
    Beyond the Learning Curve reviews and considers the psychology of skill acquisition. In so doing the authors propose a whole new theory of mental function - demonstrating that the mind is subject to the same natural laws as the physical world. Accessibly written, 'Beyond the learning curve' is a thought provoking and challenging new text for students and researchers in the cognitive sciences.
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  • Where medicine went wrong: rediscovering the path to complexity.Bruce J. West - 2007 - Hackensack, NJ: World Scientific.
    Where Medicine Went Wrong explores how the idea of an average value has been misapplied to medical phenomena, distorted understanding and lead to flawed medical ...
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  • Darwinism Evolving. System Dynamics and the Genealogy of Natural Selection.David J. Depew, Bruce H. Weber & Ernst Mayr - 1996 - History and Philosophy of the Life Sciences 18 (1):135.
     
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  • The analysis of variance and the analysis of causes.Richard C. Lewontin - 1974 - American Journal of Human Genetics 26 (3):400-11.
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  • The theory of the organism-environment system: I. Description of the theory.Timo Jarvilehto - 1998 - Integrative Physiological and Behavioral Science 33 (4):321-334.
    The theory of the organism-environment system starts with the proposition that in any functional sense organism and environment are inseparable and form only one unitary system. The organism cannot exist without the environment and the environment has descriptive properties only if it is connected to the organism. Although for practical purposes we do separate organism and environment, this common-sense starting point leads in psychological theory to problems which cannot be solved. Therefore, separation of organism and environment cannot be the basis (...)
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  • Darwinism Evolving: Systems Dynamics and the Genealogy of Natural Selection.Daniel J. Depew & Bruce H. Weber - 1996 - British Journal for the Philosophy of Science 47 (4):640-646.