bibliography

Instituut voor Taal- en Kennistechnologie
Institute for Language Technology and Artificial Intelligence

Aho, A.V. (1969): ``Nested stack automata''. In: Journal of the Association for Computing Machinery 16: 383--406.
Aho, A.V. Sethi, R. and Ullman, J.D. (1986): Compilers: Principles, Techniques and Tools. Reading, Mass.: Addison-Wesley.
Andrews, J., Livingston, K., Harnad, S. and Fischer, U. (in prep.): Learned Categorical Perception in Human Subjects: Implications for Symbol Grounding.
Bak, P., Tang, C. and Wiesenfeld, K. (1988): ``Self-organized criticality''. In: Physical Review A 38: 364--374.
Blum, L. (1989a): 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. (1989b): 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
Boyle, C.F. (1990): ``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.
Bringsjord, S. (1992): 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.
Chamberlain, S.C. and Barlow, R.B. (1982): ``Retinotopic organization of lateral eye input to Limulus brain''. In: Journal of Neurophysiology 48: pp. 505--520.
Chomsky, N. (1963): ``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.
Chomsky, N. (1980): ``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.
Fodor, J. A. (1975): 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.
Lawrence, D. H. (1950): ``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.
Minsky, M.L. and Papert, S. (1969): Perceptrons. Cambridge, Mass.: MIT Press.
Newell, A. (1980): ``Physical Symbol Systems''. Cognitive Science, 135--83.
Pinker, S, and Prince, A. (1988): ``On language and connectionism: Analysis of a parallel distributed processing model of language acquisition''. Cognition, 73--193.
Pour-El, M. B., and Richards, I. (1979): ``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): Machine Learning of Natural Language, Springer.
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.
Rosenblatt, F. (1962): Principles of neurodynamics. NY: Spartan
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.
Slater, P. J. B. (1983): ``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.
Smith, B. C. (1988): ``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.