Instituut voor Taal- en Kennistechnologie
Institute for Language Technology and Artificial Intelligence
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Andrews, J., Livingston, K., Harnad, S. and Fischer, U. (in prep.)
Learned Categorical Perception in Human Subjects: Implications for Symbol Grounding.
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``Self-organized criticality''. In: Physical Review A 38: 364--374.
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Lectures on a theory of computation and complexity over the reals (or an arbitrary ring) Report No. TR-89-065. Berkeley, CA: International Computer Science Institute.
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Lectures on a theory of computation and complexity over the reals (or an arbitrary ring) Report No. TR-89-065. Berkeley, CA: International Computer Science Institute.
Blum, L., Shub, M., and Smale, S. (1988)
``On a theory of computation and complexity over the real numbers: NP completeness, recursive functions and universal machines''. In: The Bulletin of the American Mathematical Society, 21, 1--46
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``Informing: the Basis of a Solution to the Mind-Body Problem''. In: Proceedings of the 34th Annual Conference of the International Society for the Systems Sciences, (Portland, OR), 1190--1200.
Boyle, C.F. (1991)
``On the Physical Limitations of Pattern Matching''. In: Journal of Experimental and Theoretical Artificial Intelligence, 3 (2):191--218.
Boyle, C.F. (1992)
``Projected Meaning, Grounded Meaning and Intrinsic Meaning''. In: Proceedings of the 14th Annual Meeting of the Cognitive Science Society. (New Jersey: Lawrence Erlbaum).
Bringsjord, S. and Zenzen, M. (1991)
``In Defense of Hyper-Logicist AI,'' In: IJCAI T91, Morgan Kaufman Publishers, Mountain View, CA, pp. 1066--1072.
Bringsjord, S. and Zenzen, M. (forthcoming)
Non-Algorithmic Cognition.
Bringsjord, S. (1991a)
``Is the Connectionist-Logicist Clash One of AI's Wonderful Red Herrings?'' In: Journal of Experimental and Theoretical Artificial Intelligence 3.4: 319--349.
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What Robots Can and Can't Be (Dordrecht, The Netherlands: Kluwer), ISBN 0-7923-1662-2.
Bringsjord, S. (1993)
``Toward Non-Algorithimc AI,'' in Ryan, K. T. and Sutcliffe, R. F. E., eds., Proceedings of AICS '92: The Fifth Irish Conference on AI and Cognitive Science, University of Limerick, September 10--12 (New York, NY: Springer-Verlag).
Bringsjord, S. (in press)
``Could, How Could We Tell If, and Why Should -- Androids Have Inner Lives,'' in Ford, K. and Glymour, C., eds., Android Epistemology (Greenwich, CT: JAI Press).
Burghardt, G. M. (1970)
``Defining `communication' ''. In: J. W. Johnston Jr., D. G. Moulton and A. Turk (eds.), Communication by Chemical Signals pp. 5--18. New York, NY: Century-Crofts.
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``Retinotopic organization of lateral eye input to Limulus brain''. In: Journal of Neurophysiology 48: pp. 505--520.
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``Formal properties of grammars''. In R.D. Luce, R.B. Bush and E. Galanter (eds.) Handbook of Mathematical Psychology, Volume 2. New York: John Wiley.
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``Rules and Representations,'' In: Behavioral and Brain Sciences 3: 1--61.
Cole, D. (1990)
``Artificial Intelligence and Personal Identity,'' APA Central Division Meeting, New Orleans, LA, April 27.
Crutchfield, J.P. and Young, K. (1990)
``Computation at the onset of chaos''. In W.H. Zurek (ed.) Complexity, Entropy and the Physics of Information. (Santa Fe Institute Proceedings Volume VIII). Redwood City, CA.: Addison-Wesley.
Crutchfield, J.P., Farmer, J.D., Packard, N.H. and Shaw, R.S. (1986)
``Chaos''. In: Scientific American 254: 46--57.
Dietrich, E. (1989)
``Semantics and the Computational Paradigm in Cognitive Psychology''. In: Synthese 79: 119--141.
Dietrich, E. (1990)
``Computationalism''. In: Social Epistemology 4: 135--154.
Dyer, M. G. (1990a)
``Intentionality and Computationalism: Minds, Machines, Searle and Harnad,'' In: Journal of Experimental and Theoretical Artificial Intelligence 2.4. pp. 303--319.
Dyer, M. G. (1990a)
``Intentionality and Computationalism: Minds, Machines, Searle and Harnad,'' In: Journal of Experimental and Theoretical Artificial Intelligence 2.4. pp. 303--319.
Dyer, M. G. (1990b)
``Finding Lost Minds'' (Author's reply to S. Harnad's "Lost in the Hermeneutic Hall of Mirrors"). In: Journal of Experimental and Theoretical Artificial Intelligence, Vol. 2, No. 4.
Dyer, M. G. (1991)
``Connectionism versus Symbolism in High-Level Cognition''. In T. Horgan and J. Tienson (eds.). Connectionism and the Philosophy of Mind. Kluwer Academic Publishers, Boston MA. pp. 382--416.
Edelman, G.M. (1978)
``Group selection and phasic reentrant signaling: A theory of higher brain function''. In G.M. Edelman and V.B. Mountcastle, The Mindful Brain: Cortical Organization and the Group-Selective Theory of Higher Brain Function. Cambridge, Mass.: MIT Press.
Fetzer, J. H. (1988)
Signs and Minds: An Introduction to the Theory of Semiotic Systems. In: J. H. Fetzer (ed). Aspects of Artificial Intelligence, Kluwer Academic Publishers.
Fetzer, J. H. (1989)
``Language and Mentality: Computational, Representational, and Dispositional Conceptions''. In: Behaviorism 17: 1--39.
Fetzer, J. H. (1990)
Artificial Intelligence: Its Scope and Limits. Kluwer Academic Publishers.
Fetzer, J. H. (1991)
Philosophy and Cognitive Science. Paragon House Publishers.
Fetzer, J. H. (1992)
``Connectionism and Cognition: Why Fodor and Pylyshyn are Wrong''. In: A. Clark and R. Lutz (eds). Connectionism in Context, Springer-Verlag.
Fetzer, J. H. (1993)
Philosophy of Science. Paragon House Publishers.
Fields, C. (1989)
``Consequences of nonclassical measurement for the algorithmic description of continuous dynamical systems''. In: Jour. of Experimental and Theoretical AI, vol. 1, n. 3: 171--178.
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The language of thought New York. Crowell.
Fodor, J., and Pylyshyn, Z. (1988)
``Connectionism and cognitive architecture: A critical analysis''. Cognition, 3--71.
Franklin, S., and Garzon, M. (1990)
``Neural computability''. In O. M. Omidvar (ed.), Progress in neural networks Vol. 1, pp. 127--145. Norwood, NJ: Ablex.
Garzon, M., and Franklin, S. (1989)
``Neural computability II'' (extended abstract). In Proceedings, IJCNN International Joint Conference on Neural Networks Vol. 1, pp. 631--637. New York, NY: Institute of Electrical and Electronic Engineers.
Garzon, M., and Franklin, S. (1990)
``Computation on graphs''. In O. M. Omidvar (ed.), Progress in neural networks Vol. 2, Ch. 13. Norwood, NJ: Ablex.
Hanson, S.J., and Burr, D.J. (1990)
``What connectionist models learn: Learning and Representation in connectionist networks''. Behavioral and Brain Sciences, 389--391.
Harnad S. (1984)
``Verifying machines' minds''. Contemporary Psychology 29: 389--391.
Harnad, S. (1987)
(ed.) Categorical Perception: The Groundwork of Cognition. New York: Cambridge University Press.
Harnad, S. (1989)
``Minds, Machines and Searle''. Journal of Theoretical and Experimental Artificial Intelligence 1: 5--25.
Harnad, S. (1990a)
``The Symbol Grounding Problem''. Physica D, 335--346.
Harnad, S. (1990b)
``Against Computational Hermeneutics''. Social Epistemology, 167--172. (Invited commentary on Eric Dietrich's Computationalism).
Harnad, S. (1990c)
``Lost in the hermeneutic hall of mirrors''. Invited Commentary on: Michael Dyer: Minds, Machines, Searle and Harnad. Journal of Experimental and Theoretical Artificial Intelligence 2: 321--327.
Harnad, S. (1990d)
``Symbols and Nets: Cooperation vs. Competition''. Connections and Symbols Connection Science, 257--260.
Harnad, S. (1991)
``Other Bodies, Other Minds: A Machine Incarnation of an Old Philosophical Problem,'' In: Minds and Machines 1: 43--54.
Harnad, S. (1992a)
``Connecting Object to Symbol in Modeling Cognition''. In: Clarke, A., and Lutz, R. (eds), Connectionism in Context. Springer Verlag.
Harnad, S. (1992b)
``The Turing Test Is Not A Trick: Turing Indistinguishability Is A Scientific Criterion''. In: SIGART Bulletin 3(4) (October) 9--10.
Harnad, S, (1994)
``Does the Mind Piggy-Back on Robotic and Symbolic Capacity?'' To appear in: H. Morowitz (ed.) The Mind, the Brain, and Complex Adaptive Systems.
Harnad, S., Hanson, S.J. and Lubin, J. (1991)
``Categorical Perception and the Evolution of Supervised Learning in Neural Nets''. In: D.W. Powers and L. Reeker (Eds.) Working Papers of the AAAI Spring Symposium on Machine Learning of Natural Language and Ontology pp. 65--74.
Harnad, S. Hanson, S.J. and Lubin, J. (1994)
``Learned Categorical Perception in Neural Nets: Implications for Symbol Grounding''. In: V. Honavar and L. Uhr (eds) Symbol Processing and Connectionist Network Models in Artificial Intelligence and Cognitive Modelling: Steps Toward Principled Integration. (in press)
Hayes, P., Harnad, S., Perlis, D. and Block, N. (1992)
``Virtual Symposium on the Virtual Mind'', In: Minds and Machines 2: 217--238.
Hornik, K., Stinchcombe, M., and White, H. (1989)
``Multi-layer Feedforward Networks are Universal Approximators''. In: Neuronetworks 2.
Johnson, M, (1992)
``Philosophical implications of cognitive semantics'', In: Cognitive Linguistics Vol 3 No. 4, Mouton.
Kentridge, R.W. (1990)
``Neural networks for learning in the real world: representation, reinforcement and dynamics''. In: Parallel Computing 14: 405--414.
Kentridge, R.W. (forthcoming)
``Critical dynamics of neural networks with spatially localised connections''. To appear in M. Oaksford and G. Brown (eds.) Neurodynamics and Psychology. London: Academic Press.
Lakoff G, (1987)
Women, Fire and Dangerous Things: What categories reveal about the mind, University of Chicago Press.
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``Acquired distinctiveness of cues: II. Selective association in a constant stimulus situation''. Journal of Experimental Psychology 40: 175--188.
Lloyd, S. (1990)
Any nonlinearity suffices for computation (report CALT-68-1689). Pasadena, CA: California Institute of Technology.
MacLennan, B. J. (1987)
``Technology-independent design of neurocomputers: The universal field computer''. Pages 39--49 of: Caudill, M., and Butler, C. (eds), Proceedings, IEEE First International Conference on Neural Networks, vol. 3.
MacLennan, B. J. (1988)
``Logic for the new AI''. In: J. H. Fetzer (ed.), Aspects of Artificial Intelligence. pp. 163--192. Dordrecht, NL: Kluwer Academic Publishers.
MacLennan, B. J. (1989)
The Calculus of functional differences and integrals (Technical Report CS-89-80). Knoxville, TN: Computer Science Department, University of Tennessee.
MacLennan, B. J. (1990a)
Functional Programming Methodology: Practice and Theory. Reading, MA: Addison-Wesley.
MacLennan, B. J. (1990b)
Evolution of communication in a population of simple machines (Technical Report CS-90-99). Knoxville, TN: Computer Science Department, University of Tennessee.
MacLennan, B. J. (1990c)
Field computation: A theoretical framework for massively parallel analog computation; parts I -- IV (report CS-90-100). Knoxville, TN: University of Tennessee, Computer Science Department.
MacLennan, B. J. (1992)
``Synthetic ethology: An approach to the study of communication''. In: C. G. Langton, C. Taylor, J. D. Farmer and S. Rasmussen (eds.), Artificial Life II. pp. 631--658. Redwood City, CA: Addison-Wesley.
MacLennan, B. J. (in press-a)
``Continuous symbol systems: The logic of connectionism''. In: Levine, Daniel S., and IV, Manuel Aparicio (eds), Neural Networks for Knowledge Representation and Inference. Hillsdale, NJ: Lawrence Erlbaum.
MacLennan, B. J. (in press-b)
``Characteristics of connectionist knowledge representation''. Information Sciences.
MacLennan, B. J., and Burghardt, G. M. (submitted)
Synthetic ethology and the evolution of cooperative communication.
McClelland, J. L., Rumelhart, D. E., and the PDP Research Group. (1986)
Parallel distributed processing: Explorations in the microstructure of cognition. Vol. 1. Cambridge MA: MIT/Bradford.
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Perceptrons. Cambridge, Mass.: MIT Press.
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``Physical Symbol Systems''. Cognitive Science, 135--83.
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``On language and connectionism: Analysis of a parallel distributed processing model of language acquisition''. Cognition, 73--193.
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``A computable ordinary differential equation which possesses no computable solution''. In: Annals of Mathematical Logic, 17, pp. 61--90.
Pour-El, M. B., and Richards, I. (1981)
``The wave equation with computable initial data such that its unique solution is not computable''. In: Advances in Mathematics, 39, pp. 215--239.
Pour-El, M. B., and Richards, I. (1982)
``Noncomputability in models of physical phenomena''. In: International Journal of Theoretical Physics, 21, pp. 553--555.
Powers, D. M. W. and Christopher C. R. Turk, (1989)
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Powers, D. M. W., (1991)
``How far can self-organization go? Results in unsupervised language learning'', in D. Powers and L. Reeker (eds.), Machine Learning of Natural Language and Ontology, Proc. AAAI Spring Symposium, DFKI Document D91-09, DFKI Kaiserslautern FRG.
Powers, D. M. W., (1992)
``A Basis for Compact Distributional Extraction'', In: THINK Vol 1 No. 2, ITK University of Tilburg.
Powers, D. M. W., (1992a)
Multi-Modal Modelling with Multi-Module Mechanisms: Autonomy in a Computational Model of Language Learning. ITK Research Report 33, University of Tilburg.
Powers, D. M. W., (1992b)
``Parallel and Efficient Implementation of the Compartmentalized Connection Graph Proof Pocedure: Resolution to Unification'', in B. Fronhofer and G. Wrightson (eds.), Parallelization in Inference Systems, Proc. Workshop on Massively Parallel Inference Systems 1990, LNAI 590, Springer.
Powers, D. M. W., (1992c)
``On the significance of closed classes and boundary conditions: Experiments in lexical and syntactic learning'' in W. Daelemans and D. Powers (eds.), Background and Experiments in Machine Learning of Natural Language, ITK Proceedings 92/1, University of Tilburg.
Pylyshyn, Z. W. (1984)
Computation and cognition. Cambridge MA: Bradford Books.
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Searle, J.R. (1980)
``Minds, brains and programs''. In: Behavioral and Brain Sciences 3: 417--424.
Searle, J.R. (1984)
Minds, brains, & science, Penguin books, London.
Searle, J.R. (1990)
``Is the brain's mind a computer program?''. Scientific American 262: 26--31.
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``The study of communication''. In: T. R. Halliday and P. J. B. Slater (eds.), Animal Behavior Volume 2: Communication pp. 9--42. New York, NY: W. H. Freeman.
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``The Semantics of Clocks''. In J. Fetzer (ed.) Aspects of Artificial Intelligence, Dordrecht, Holland: Kluwer, pp. 3--31.
Smith, B. C. (in press)
Is Computational Formal? Cambridge: MIT/Bradford.
Stannett, Mike (1990)
``X-machines and the halting problem: Building a super-Turing machine''. Formal Aspects of Computing, 2, pp. 331--341.
Touretzky, D. S. (1990)
``BoltzCONS: Dynamic symbol structures in a connectionist network''. In: Artificial Intelligence vol. 46, pp. 5--46.
Touretzky, D. S. (ed.)
(1991) Machine Learning, vol. 7, nos. 2 and 3, special double issue on ``Connectionist Approaches to Language Learning.''
Touretzky, D. S., and Hinton, G. E. (1988)
``A distributed connectionist production system''. Cognitive Science, 12(3), 5--46.
Turing, A. M. (1964)
``Computing Machinery and Intelligence''. Pages 4--30 of: Andersen, A. R. (ed), Minds and Machines, Contemporary Perspectives in Philosophy Series. Englewood Cliffs, NJ: Prentice Hall.
Wolpert, D., and MacLennan, B. J. (submitted)
A computationally universal field computer which is purely linear.