Indispensability of Computational Modeling in Cognitive Science
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[1] Gerard O'Brien,et al. How do connectionist networks compute? , 2006, Cognitive Processing.
[2] David J. Chalmers,et al. A Computational Foundation for the Study of Cognition , 2011 .
[3] R. O’Reilly,et al. Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain , 2000 .
[4] Kristinn R. Thórisson,et al. Cognitive Architectures and Autonomy: A Comparative Review , 2012, J. Artif. Gen. Intell..
[5] D. Long. Networks of the Brain , 2011 .
[6] Tim van Gelder,et al. Compositionality: A Connectionist Variation on a Classical Theme , 1990, Cogn. Sci..
[7] Tracy Brown,et al. The Embodied Mind: Cognitive Science and Human Experience , 2002, Cybern. Hum. Knowing.
[8] Matthias Scheutz,et al. The Irrelevance of Turing Machines to Artificial Intelligence , 2003 .
[9] Allen Newell,et al. Computer science as empirical inquiry: symbols and search , 1976, CACM.
[10] I. Rooij,et al. Connectionist semantic systematicity , 2009, Cognition.
[11] Hava T. Siegelmann,et al. Neural networks and analog computation - beyond the Turing limit , 1999, Progress in theoretical computer science.
[12] P. Gärdenfors. Conceptual Spaces as a Basis for Cognitive Semantics , 1996 .
[13] George E. P. Box,et al. Empirical Model‐Building and Response Surfaces , 1988 .
[14] Whitney Tabor,et al. A dynamical systems perspective on the relationship between symbolic and non-symbolic computation , 2009, Cognitive Neurodynamics.
[15] Nick Chater,et al. Toward a connectionist model of recursion in human linguistic performance , 1999 .
[16] Noam Chomsky,et al. वाक्यविन्यास का सैद्धान्तिक पक्ष = Aspects of the theory of syntax , 1965 .
[17] Dedre Gentner,et al. Psychology in Cognitive Science: 1978-2038 , 2010, Top. Cogn. Sci..
[18] J. Brendan Ritchie,et al. Chalmers on implementation and computational sufficiency , 2011 .
[19] A. Turing. On Computable Numbers, with an Application to the Entscheidungsproblem. , 1937 .
[20] Stevan Harnad,et al. Symbol grounding problem , 1990, Scholarpedia.
[21] G. Schöner. The Cambridge Handbook of Computational Psychology: Dynamical Systems Approaches to Cognition , 2008 .
[22] R. French. Catastrophic forgetting in connectionist networks , 1999, Trends in Cognitive Sciences.
[23] Jeffrey L. Elman,et al. Finding Structure in Time , 1990, Cogn. Sci..
[24] R. Studer,et al. Semantic Web Technologies: Trends and Research in Ontology-based Systems , 2006 .
[25] J. Tenenbaum,et al. A tutorial introduction to Bayesian models of cognitive development , 2011, Cognition.
[26] Rolf Pfeifer,et al. Understanding intelligence , 2020, Inequality by Design.
[27] J. Tenenbaum,et al. Probabilistic models of cognition: exploring representations and inductive biases , 2010, Trends in Cognitive Sciences.
[28] Lubica Benuskova,et al. Mapping sensorimotor sequences to word sequences: A connectionist model of language acquisition and sentence generation , 2012, Cognition.
[29] Robert M. French. Dusting Off the Turing Test , 2012, Science.
[30] Robert M. French,et al. Computational Modeling in Cognitive Science: A Manifesto for Change , 2012, Top. Cogn. Sci..
[31] Nick Chater,et al. Toward a connectionist model of recursion in human linguistic performance , 1999, Cogn. Sci..
[32] Alberto Greco,et al. Compositional Symbol Grounding for Motor Patterns , 2010, Front. Neurorobot..
[33] S. Pinker. How the Mind Works , 1999, Philosophy after Darwin.
[34] William Bialek,et al. Spikes: Exploring the Neural Code , 1996 .
[35] Jerome Feldman,et al. The neural binding problem(s) , 2013, Cognitive Neurodynamics.
[36] G. Carpenter,et al. Behavioral and Brain Sciences , 1999 .
[37] Gregor Sch,et al. Dynamical Systems Approaches to Cognition , 2008 .
[38] Gualtiero Piccinini,et al. Computing Mechanisms* , 2007, Philosophy of Science.
[39] Mark A. Pitt,et al. Cognitive Modeling Repository , 2010 .
[40] Matthias Scheutz,et al. When Physical Systems Realize Functions... , 1999, Minds and Machines.
[41] Igor Farkas,et al. Syntactic systematicity in sentence processing with a recurrent self-organizing network , 2008, Neurocomputing.
[42] David Mackay,et al. Probable networks and plausible predictions - a review of practical Bayesian methods for supervised neural networks , 1995 .
[43] Eduardo Sontag,et al. Turing computability with neural nets , 1991 .
[44] H. Maturana,et al. The Tree of Knowledge: The Biological Roots of Human Understanding , 2007 .
[45] A. Clark. Mindware: An Introduction to the Philosophy of Cognitive Science (Second Edition) , 2000 .
[46] L. Kaczmarek,et al. Neuromodulation : the biochemical control of neuronal excitability , 1987 .
[47] Terrence J. Sejnowski,et al. The Computational Brain , 1996, Artif. Intell..
[48] Masaki Ogino,et al. Cognitive Developmental Robotics: A Survey , 2009, IEEE Transactions on Autonomous Mental Development.
[49] A. J. Bell,et al. Levels and loops: the future of artificial intelligence and neuroscience. , 1999, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[50] A. M. Turing,et al. Computing Machinery and Intelligence , 1950, The Philosophy of Artificial Intelligence.
[51] Yoshua. Bengio,et al. Learning Deep Architectures for AI , 2007, Found. Trends Mach. Learn..
[52] Gualtiero Piccinini,et al. Some neural networks compute , others don ’ t , 2007 .
[53] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[54] Gualtiero Piccinini,et al. Information processing, computation, and cognition , 2011, Journal of biological physics.
[55] T. Gelder,et al. Mind as Motion: Explorations in the Dynamics of Cognition , 1995 .
[56] Massimo Marraffa. The Mind Doesn't Work That Way. The Scope and Limits of Computational Psychology , 2001 .
[57] M. Page,et al. Connectionist modelling in psychology: A localist manifesto , 2000, Behavioral and Brain Sciences.
[58] Wlodzislaw Duch,et al. Towards Comprehensive Foundations of Computational Intelligence , 2007, Challenges for Computational Intelligence.
[59] J. Fodor,et al. Connectionism and cognitive architecture: A critical analysis , 1988, Cognition.
[60] Peter Norvig,et al. Artificial Intelligence: A Modern Approach , 1995 .
[61] James L. McClelland. The Place of Modeling in Cognitive Science , 2009, Top. Cogn. Sci..
[62] Peter beim Graben. Incompatible Implementations of Physical Symbol Systems , 2004 .
[63] Wolfgang Prinz,et al. Modes of Linkage Between Perception and Action , 1984 .
[64] Michael J. Spivey,et al. The Continuity Of Mind , 2008 .
[65] William J. Turkel. Mind as motion: Explorations in the dynamics of cognition Ed. by Robert F. Port and Timothy van Gelder (review) , 2015 .
[66] C. Watkins,et al. Manifesto for change , 2001 .
[67] Christopher J. Bishop,et al. Pulsed Neural Networks , 1998 .
[68] W. Tschacher,et al. The dynamical systems approach to cognition : concepts and empirical paradigms based on self-organization, embodiment, and coordination dynamics , 2003 .
[69] C. Heyes,et al. Science Perspectives on Psychological Mirror Neuron Forum on Behalf Of: Association for Psychological Science , 2022 .
[70] Zenon W. Pylyshyn,et al. Computation and Cognition: Toward a Foundation for Cognitive Science , 1984 .
[71] Giulio Sandini,et al. A Survey of Artificial Cognitive Systems: Implications for the Autonomous Development of Mental Capabilities in Computational Agents , 2007, IEEE Transactions on Evolutionary Computation.
[72] Frank Rosenblatt,et al. PRINCIPLES OF NEURODYNAMICS. PERCEPTRONS AND THE THEORY OF BRAIN MECHANISMS , 1963 .
[73] Alan Turing,et al. Dusting Off the Turing Test , 2012 .