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  1. Types of constraints on development: An interactivist approach.Mark Bickhard - manuscript
    The interactivist approach to development generates a framework of types of constraints on what can be constructed. The four constraint types are based on: (1) what the constructed systems are about; (2) the representational relationship itself; (3) the nature of the systems being constructed; and (4) the process of construction itself. We give illustrations of each constraint type. Any developmental theory needs to acknowledge all four types of constraint; however, some current theories conflate different types of constraint, or rely on (...)
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  • A Rationale for Mixed Methods (Integrative) Research Programmes in Education.Mansoor Niaz - 2008 - Journal of Philosophy of Education 42 (2):287-305.
    Recent research shows that research programmes (quantitative, qualitative and mixed) in education are not displaced (as suggested by Kuhn) but rather lead to integration. The objective of this study is to present a rationale for mixed methods (integrative) research programs based on contemporary philosophy of science (Lakatos, Giere, Cartwright, Holton, Laudan). This historical reconstruction of episodes from physical science (spanning a period of almost 300 years, 17th to 20th century) does not agree with the positivist image of science. Quantitative data (...)
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  • A Rationale for Mixed Methods (Integrative) Research Programmes in Education.Mansoor Niaz - 2008 - Journal of Philosophy of Education 42 (2):287-305.
    Recent research shows that research programmes (quantitative, qualitative and mixed) in education are not displaced (as suggested by Kuhn) but rather lead to integration. The objective of this study is to present a rationale for mixed methods (integrative) research programs based on contemporary philosophy of science (Lakatos, Giere, Cartwright, Holton, Laudan). This historical reconstruction of episodes from physical science (spanning a period of almost 300 years, 17th to 20th century) does not agree with the positivist image of science. Quantitative data (...)
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  • Representational redescription and cognitive architectures.Antonella Carassa & Maurizio Tirassa - 1994 - Behavioral and Brain Sciences 17 (4):711-712.
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  • Machine discoverers: Transforming the spaces they explore.Jan M. Zytkow - 1994 - Behavioral and Brain Sciences 17 (3):557-558.
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  • From the decline of development to the ascent of consciousness.Philip David Zelazo - 1994 - Behavioral and Brain Sciences 17 (4):731-732.
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  • The evolution of intelligence: rehabilitation of recapitulation?Jan Wind - 1979 - Behavioral and Brain Sciences 2 (3):398-399.
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  • Advanced sensorimotor intelligence in Cebus and Macaca.Gregory Charles Westergaard & Gene P. Sackett - 1989 - Behavioral and Brain Sciences 12 (3):609-610.
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  • Missing variables in studies of animal learning.Wally Welker - 1981 - Behavioral and Brain Sciences 4 (1):161-161.
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  • The creative mind versus the creative computer.Robert W. Weisberg - 1994 - Behavioral and Brain Sciences 17 (3):555-557.
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  • Primate tool use: Parsimonious explanations make better science.Elisabetta Visalberghi - 1989 - Behavioral and Brain Sciences 12 (3):608-609.
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  • Is there an implicit level of representation?Annie Vinter & Pierre Perruchet - 1994 - Behavioral and Brain Sciences 17 (4):730-731.
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  • What is Philosophy for Children, What is Philosophy with Children—After Matthew Lipman?Nancy Vansieleghem & David Kennedy - 2011 - Journal of Philosophy of Education 45 (2):171-182.
    Philosophy for Children arose in the 1970s in the US as an educational programme. This programme, initiated by Matthew Lipman, was devoted to exploring the relationship between the notions ‘philosophy’ and ‘childhood’, with the implicit practical goal of establishing philosophy as a full-fledged ‘content area’ in public schools. Over 40 years, the programme has spread worldwide, and the theory and practice of doing philosophy for or with children and young people appears to be of growing interest in the field of (...)
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  • The empirical detection of creativity.Han L. J. van der Maas & Peter C. M. Molenaar - 1994 - Behavioral and Brain Sciences 17 (3):555-555.
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  • Creativity: Myths? Mechanisms.Michel Treisman - 1994 - Behavioral and Brain Sciences 17 (3):554-555.
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  • Cognition as cause.Michael Tomasello - 1989 - Behavioral and Brain Sciences 12 (3):607-608.
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  • Control mechanisms of vocalization and the evolution of speech.Horst D. Steklis - 1982 - Behavioral and Brain Sciences 5 (2):287-287.
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  • Can computers be creative, or even disappointed?Robert J. Sternberg - 1994 - Behavioral and Brain Sciences 17 (3):553-554.
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  • Ontogeny does not always recapitulate phylogeny.Charles T. Snowdon & Jeffrey A. French - 1979 - Behavioral and Brain Sciences 2 (3):397-398.
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  • Modal knowledge and transmodularity.Leslie Smith - 1994 - Behavioral and Brain Sciences 17 (4):729-730.
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  • An alternative model for language acquisition.Euclid O. Smith - 1979 - Behavioral and Brain Sciences 2 (3):397-397.
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  • Individual differences, developmental changes, and social context.Dean Keith Simonton - 1994 - Behavioral and Brain Sciences 17 (3):552-553.
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  • A structuralist response to a skeptic.Irving E. Sigel - 1979 - Behavioral and Brain Sciences 2 (1):148-149.
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  • The challenge of representational redescription.Thomas R. Shultz - 1994 - Behavioral and Brain Sciences 17 (4):728-729.
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  • An ecological theory of learning: Good goal, poor strategy.Sara J. Shettleworth - 1981 - Behavioral and Brain Sciences 4 (1):160-161.
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  • Respecting the phenomenology of human creativity.Victor A. Shames & John F. Kihlstrom - 1994 - Behavioral and Brain Sciences 17 (3):551-552.
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  • The ecology of learning: The right answer to the wrong question.Barry Schwartz - 1981 - Behavioral and Brain Sciences 4 (1):159-160.
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  • Redescribing development.Ellin Kofsky Scholnick - 1994 - Behavioral and Brain Sciences 17 (4):727-728.
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  • Adaptive modification of behavior: Processing information from the environment.Wolfgang M. Schleidt - 1981 - Behavioral and Brain Sciences 4 (1):158-159.
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  • Tool use in monkeys.Sue Savage-Rumbaugh, Karen Brakke & Krista Wilkinson - 1989 - Behavioral and Brain Sciences 12 (3):606-607.
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  • Chimpanzees and protolanguage.Sue Savage-Rumbaugh, Duane M. Rumbaugh & Sally Boysen - 1979 - Behavioral and Brain Sciences 2 (3):396-397.
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  • Apples and oranges: The pitfalls of comparative intelligence.Anne Savage & Charles T. Snowdon - 1989 - Behavioral and Brain Sciences 12 (3):605-606.
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  • Situating representational redescriptionin infants' pragmatic knowledge.Julie C. Rutkowska - 1994 - Behavioral and Brain Sciences 17 (4):726-727.
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  • Cognisance and cognitive science. Part two: Towards an empirical psychology of cognisance.James Russell - 1989 - Philosophical Psychology 2 (2):165-201.
    Abstract In the first part of this essay (Russell, 1988a) I argued that ?cognisance? (roughly: a subject's knowledge of his relation to the physical world as an experiencer of it) cannot be explained in terms of a syntactic theory of mind, due to the ?referential? and ?holistic? nature of this knowledge. The syntactic account of the higher mental functions is immediately intelligible to us due to its derivation from computer technology, so this would not appear to be a happy result (...)
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  • Relational Capacity: Broadening the Notion of Decision-Making Capacity in Paediatric Healthcare.Katharina M. Ruhe, Eva De Clercq, Tenzin Wangmo & Bernice S. Elger - 2016 - Journal of Bioethical Inquiry 13 (4):515-524.
    Problems arise when applying the current procedural conceptualization of decision-making capacity to paediatric healthcare: Its emphasis on content-neutrality and rational cognition as well as its implicit assumption that capacity is an ability that resides within a person jeopardizes children’s position in decision-making. The purpose of the paper is to challenge this dominant account of capacity and provide an alternative for how capacity should be understood in paediatric care. First, the influence of developmental psychologist Jean Piaget upon the notion of capacity (...)
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  • Explaining diversity and searching for general processes: Isn't there a middle ground?Paul Rozin - 1981 - Behavioral and Brain Sciences 4 (1):157-158.
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  • Creativity: Metarules and emergent systems.Jonathan Rowe - 1994 - Behavioral and Brain Sciences 17 (3):550-551.
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  • Interpretation of stage as structure.Paul A. Roodin - 1979 - Behavioral and Brain Sciences 2 (1):148-148.
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  • The cost of explicit memory.Stephen E. Robbins - 2009 - Phenomenology and the Cognitive Sciences 8 (1):33-66.
    Within Piaget there is an implicit theory of the development of explicit memory. It rests in the dynamical trajectory underlying the development of causality, object, space and time – a complex (COST) supporting a symbolic relationship integral to the explicit. Cassirer noted the same dependency in the phenomena of aphasias, insisting that a symbolic function is being undermined in these deficits. This is particularly critical given the reassessment of Piaget’s stages as the natural bifurcations of a self-organizing dynamic system. The (...)
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  • Known general principles of learning cannot be ignored.Sam Revusky - 1981 - Behavioral and Brain Sciences 4 (1):156-157.
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  • Imagery and creativity.Klaus Rehkämper - 1994 - Behavioral and Brain Sciences 17 (3):550-550.
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  • Creativity is in the mind of the creator.Ashwin Ram, Eric Domeshek, Linda Wills, Nancy Nersessian & Janet Kolodner - 1994 - Behavioral and Brain Sciences 17 (3):549-549.
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  • On the Validity of Simulating Stagewise Development by Means of PDP Networks: Application of Catastrophe Analysis and an Experimental Test of Rule‐Like Network Performance.Maartje E. J. Raijmakers, Sylvester Koten & Peter C. M. Molenaar - 1996 - Cognitive Science 20 (1):101-136.
    This article addresses the ability of Parallel Distributed Processing (PDP) networks to generate stagewise cognitive development in accordance with Piaget's theory of cognitive epigenesis. We carried out a replication study of the simulation experiments by McClelland (1989) and McClelland and Jenkins (1991) in which a PDP network learns to solve balance scale problems. In objective tests motivated from catastrophe theory, a mathematical theory of transitions in epigenetical systems, no evidence for stage transitions in network performance was found. It is concluded (...)
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  • On the Validity of Simulating Stagewise Development by Means of PDP Networks: Application of Catastrophe Analysis and an Experimental Test of Rule‐Like Network Performance.Maartje E. J. Raijmakers, Sylvester von Koten & Peter C. M. Molenaar - 1996 - Cognitive Science 20 (1):101-136.
    This article addresses the ability of Parallel Distributed Processing (PDP) networks to generate stagewise cognitive development in accordance with Piaget's theory of cognitive epigenesis. We carried out a replication study of the simulation experiments by McClelland (1989) and McClelland and Jenkins (1991) in which a PDP network learns to solve balance scale problems. In objective tests motivated from catastrophe theory, a mathematical theory of transitions in epigenetical systems, no evidence for stage transitions in network performance was found. It is concluded (...)
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  • Learning theory in its niche.Howard Rachlin - 1981 - Behavioral and Brain Sciences 4 (1):155-156.
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  • Beyond modularity: Neural evidence for constructivist principles in development.Steven R. Quartz & Terrence J. Sejnowski - 1994 - Behavioral and Brain Sciences 17 (4):725-726.
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  • Task Structure Versus Cognitive Structure.Robert H. Pollack - 1979 - Behavioral and Brain Sciences 2 (1):147-148.
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  • Is an ecological approach radical enough?H. C. Plotkin & F. J. Odling-Smee - 1981 - Behavioral and Brain Sciences 4 (1):154-155.
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  • Computational creativity: What place for literature?Jörgen Pind - 1994 - Behavioral and Brain Sciences 17 (3):547-548.
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  • A functional view of learning.Lewis Petrinovich - 1981 - Behavioral and Brain Sciences 4 (1):153-154.
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