Books

  1. Smolensky, P., & Legendre, G. (to appear). Toward a calculus of the mind/brain: Neural network theory, optimality, and universal grammar. Cambridge, MA: MIT Press. (630 pp.)
  2. Prince, A. & Smolensky, P. (to appear). Optimality Theory: Constraint Interaction in Generative Grammar. Cambridge, MA: Linguistic Inquiry Monograph Series, MIT Press.
  3. Tesar, B. & Smolensky, P. (2000). Learnability in Optimality Theory. MIT Press.
  4. Smolensky, P., Mozer, M. C., & Rumelhart, D. E. (Eds.). (1996). Mathematical Perspectives on Neural Networks. Mahwah, NJ: Lawrence Erlbaum Publishers [Contributed 4 of 20 chapters; 109 of 841 pages.
  5. Macdonald, C. & Macdonald, G. (Eds.). (1995). Connectionism: Debates on Psychological Explanation, Volume Two. Oxford: Basil Blackwell. [Contributed 4 chapters, 183 of 412 pp.]
  6. Mozer, M.C., Smolensky, P., Touretzky, D., Elman, J., & Weigend, A. (Eds.). (1993). Proceedings of the Connectionist Models Summer School 1993. Hillsdale, NJ: Lawrence Erlbaum Publishers.
  7. Smolensky, P. (1992). Il Connessionismo: tra simboli e neuroni. Translation of the entire treatment, including peer commentary: On the proper treatment of connectionism, The Behavioral and Brain Sciences, 11, 1-74; with introduction by Marcello Frixione. Genova: Marietti/Cambridge University Press.
Papers (by general topic area; indented items are distributed but unpublished)
Grammar (ROA = http://ruccs.rutgers.edu/roa.html, the Rutgers Optimality Archive)
  1. Smolensky, P. To appear. Learnability, the initial state, and 'richness of the base' in Optimality Theory. Linguistic Inquiry.
  2. Smolensky, P. 2000. Grammar-based connectionist approaches to language. Cognitive Science. Reprinted in M. Christiansen and N. Chater. 2000. Connectionist Psycholinguistics. Ablex.
  3. Tesar, B. & Smolensky, P. 1998. Learning Optimality-Theoretic grammars. Lingua, 106: 161-196. Reprinted in Sorace, A., Heycock, C. and Shillcock, R. (eds.) Language Acquisition: Knowledge Representation and Processing. Amsterdam: Elsevier.
  4. Legendre, G., Smolensky, P., & Wilson, C. 1998. When is less more? Faithfulness and minimal links in wh-chains. In Pilar Barbosa, Danny Fox, Paul Hagstrom, Martha McGinnis, and David Pesetsky, eds., Is the Best Good Enough? Optimality and Competition in Syntax. MIT Press. 249-289
  5. Tesar, B. & Smolensky, P. 1998. Learnability in Optimality Theory. Linguistic Inquiry, 29: 229-268
  6. Prince, A. & Smolensky, P. 1997. Optimality: From neural networks to universal grammar. Science 275: 1604-1610.
  7. Smolensky, P. 1996. On the comprehension/production dilemma in child language. Linguistic Inquiry 27: 720-731. ROA-118.
  8. Legendre, G., Smolensky, P., & Wilson, C. 1996. When is less more? Faithfulness and minimal links in wh-chains. Technical Report JHU-CogSci-96-7, Cognitive Science Department, Johns Hopkins University. ROA-117. Published as [11].
  9. Smolensky, P. 1996. The initial state and 'richness of the base' in Optimality Theory. Technical Report JHU-CogSci-96-4, Cognitive Science Department, Johns Hopkins University. ROA-154. Revision published as [8].
  10. Tesar, B. & Smolensky, P. 1996. Learnability in Optimality Theory (long version). Technical Report JHU-CogSci-96-3, Cognitive Science Department, Johns Hopkins University, Baltimore, Md. ROA-156. Excerpts, revised, published as [10].
  11. Tesar, B. & Smolensky, P. 1996. Learnability in Optimality Theory (short version). Technical Report JHU-CogSci-96-2, Cognitive Science Department, Johns Hopkins University, Baltimore, Md. ROA-155. Revision published as [12].
  12. Legendre, G., Wilson, C., Smolensky, P., Homer, K., & Raymond, W. 1995. Optimality in wh-chains. University of Massachusetts Occasional Papers in Linguistics 18: Papers in Optimality Theory, J. Beckman, S. Urbanczyk, & L. Walsh, eds. Amherst, MA: GLSA, University of Massachusetts. 607-636. ROA-85.
  13. Smolensky, P. 1995. On the structure of Con, the constraint component of UG. Handout of talk at UCLA, April 7. ROA-86
  14. Tesar, B. & Smolensky, P. 1994. The learnability of Optimality Theory. Proceedings of the West Coast Conference on Formal Linguistics XIII. 122-137.
  15. Tesar, B. & Smolensky, P. 1993. The learnability of Optimality Theory: An algorithm and some basic complexity results. Technical Report CU-CS-678-93, Department of Computer Science, University of Colorado at Boulder. October. ROA-2. Expanded to [17].
  16. Prince, A. & Smolensky, P. 1993. Optimality Theory: Constraint Interaction in Generative Grammar. Technical Report CU-CS-696-93, Department of Computer Science, University of Colorado at Boulder, and Technical Report TR-2, Rutgers Center for Cognitive Science, Rutgers University, New Brunswick, NJ. April. (234 pages). To appear as [2].
  17. Smolensky, P. 1993. Harmony, markedness, and phonological activity. Handout of keynote address, Rutgers Optimality Workshop-1, October 23. ROA-87.
  18. Legendre, G., Raymond, W., & Smolensky, P. 1993. An Optimality-Theoretic typology of case and grammatical voice systems. Proceedings of the Nineteenth Annual Meeting of the Berkeley Linguistics Society. Berkeley, CA. February. 464-478. ROA-3.
  19. Legendre, G., Miyata, Y., & Smolensky, P. 1991. Unifying syntactic and semantic approaches to unaccusativity: A connectionist approach. In L. Sutton & C. Johnson (with Ruth Shields) (Eds.), Proceedings of the Seventeenth Annual Meeting of the Berkeley Linguistics Society. Berkeley, CA. February. 156-167.
  20. Prince, A. & Smolensky, P. 1991. Notes on Connectionism and Harmony Theory in Linguistics. Technical Report CU-CS-533-91, Department of Computer Science, University of Colorado at Boulder. July. [Notes from the course, 'Connectionism and Harmony Theory in Linguistics,' LSA Linguistic Institute, University of California, Santa Cruz; July, 1991.] Optimality Theory part expanded to [23].
  21. Smolensky, P. 1991. Connectionism. In W. Bright (Ed.) The International Encyclopedia of Linguistics. Oxford University Press. 294-297.
  22. Legendre, G., Miyata, Y., & Smolensky, P. 1990. Can connectionism contribute to syntax? Harmonic Grammar, with an application. Proceedings of the 26th Meeting of the Chicago Linguistic Society. Chicago, IL. April.
  23. Legendre, G., Miyata, Y., & Smolensky, P. 1990. Harmonic Grammar - A formal multi-level connectionist theory of linguistic well-formedness: An application. Proceedings of the Twelfth Annual Conference of the Cognitive Science Society, Cambridge, MA. July. 884-891.
  24. Legendre, G., Miyata, Y., & Smolensky, P. 1990. Harmonic Grammar - A formal multi-level connectionist theory of linguistic well-formedness: Theoretical foundations. Proceedings of the Twelfth Annual Conference of the Cognitive Science Society, Cambridge, MA. July. 388-395.

    25. Computation

  25. Smolensky, P. (1996). Computational, dynamical, and statistical perspectives on the processing and learning problems in neural network theory. In Smolensky, P., Mozer, M. C., & Rumelhart, D. E. (Eds.). Mathematical Perspectives on Neural Networks. Mahwah, NJ: Lawrence Erlbaum Publishers. 1-15.
  26. Smolensky, P. (1996). Computational perspectives on neural networks. In Smolensky, P., Mozer, M. C., & Rumelhart, D. E. (Eds.). Mathematical Perspectives on Neural Networks. Mahwah, NJ: Lawrence Erlbaum Publishers. 17-40.
  27. Smolensky, P. (1996). Dynamical perspectives on neural networks. In Smolensky, P., Mozer, M. C., & Rumelhart, D. E. (Eds.). Mathematical Perspectives on Neural Networks. Mahwah, NJ: Lawrence Erlbaum Publishers. 245-270.
  28. Smolensky, P. (1996). Statistical perspectives on neural networks. In Smolensky, P., Mozer, M. C., & Rumelhart, D. E. (Eds.). Mathematical Perspectives on Neural Networks. Mahwah, NJ: Lawrence Erlbaum Publishers. 453-496.
  29. Tesar, B. & Smolensky, P. (1994). Synchronous-firing variable binding is spatio-temporal tensor product representation. Proceedings of the 16th Annual Conference of the Cognitive Science Society. Atlanta, GA. August.
  30. Smolensky, P. (1993). Harmonic Grammars for formal languages. In S. Hanson, J. D. Cowan, & C. L. Giles, (Eds.), Advances in Neural Information Processing Systems 5, San Mateo, CA: Morgan Kaufmann. [Collected papers of the IEEE Conference on Neural Information Processing Systems-Natural and Synthetic, Denver, Nov. 1992.] 847-854.
  31. Miyata, Y, Smolensky, P., & Legendre, G. (1993). Distributed representation and parallel processing of recursive structures. Proceedings of the 15th Annual Conference of the Cognitive Science Society, Boulder, CO. June. 759-764.
  32. Wagner, K., Mozer, M., Smolensky, P., Miyata, Y., Fellows, M. (1993). Optical neural networks using a new radial nonlinear neural layer. Proceedings of the SPIE (Society of Photo-Optical Instrumentation Engineers), 1773A-10.
  33. McMillan, C., Mozer, M., & Smolensky, P. (1993). Dynamic conflict resolution in a connectionist rule-based system. Proceedings of the 13th International Joint Conference on Artificial Intelligence, 1366-1371. San Mateo, CA: Morgan Kauffmann.
  34. McMillan, C., Mozer, M., & Smolensky, P. (1992). Rule induction through integrated symbolic and subsymbolic processing. In J. Moody, S. Hanson, & R. Lippman, (Eds.), Advances in Neural Information Processing Systems 4. San Mateo, CA: Morgan Kaufmann. [Collected papers of the IEEE Conference on Neural Information Processing Systems-Natural and Synthetic, Denver, Nov. 1991.] 969-976.
  35. Smolensky, P. (1992). Integrated connectionist/symbolic computation and formal languages. Proceedings of the International Symposia on Information Sciences. Iizuka, Kyushu, Japan. July. 42-49.
  36. Legendre, G., Miyata, Y., & Smolensky, P. (1991). Distributed recursive structure processing. In Touretzky, D. S., Lippman, R. (Eds.), Advances in Neural Information Processing Systems 3. San Mateo, CA: Morgan Kaufmann. [Collected papers of the IEEE Conference on Neural Information Processing Systems-Natural and Synthetic, Denver, Nov. 1990.] 591-597. Slightly expanded version in Mayoh, B. (Ed.), Scandinavian Conference on Artificial Intelligence-91, 47-53. Amsterdam: IOS Press.
  37. McMillan, C., Mozer, M. C., & Smolensky, P. (1991). The connectionist scientist game: Rule extraction and refinement in a neural network. Proceedings of the Thirteenth Annual Conference of the Cognitive Science Society, Chicago, IL. July.
  38. McMillan, C., Mozer, M., & Smolensky, P. (1991). Learning explicit rules in a neural network. Proceedings of the International Joint Conference on Neural Networks. Seattle, WA. July.
  39. Smolensky, P. (1990). Tensor product variable binding and the representation of symbolic structures in connectionist networks. Artificial Intelligence, 46, 159-216. [Reprinted in G. Hinton, (Ed.), (1990), Connectionist symbol processing, Elsevier/MIT Press.]
  40. Brousse, O. & Smolensky, P. (1990). Connectionist generalization and incremental learning in combinatorial domains. In H. Haken (Ed.), Synergetics of Cognition. Springer-Verlag. 70-80.
  41. Smolensky, P. (1990). Representation in connectionist networks. Intellectica: The Journal of the French Association for Cognitive Research, 9-10, 127-165.
  42. Brousse, O. & Smolensky, P. (1990). Interference and generalization in connectionist networks: Within-domain structure or between-domain correlation? - A response, Neural Network Review, 4, 29.
  43. Mozer, M. C., & Smolensky, P. (1989). Using relevance to reduce network size automatically. Connection Science, 1, 3-16.
  44. Dolan, C. & Smolensky, P. (1989). Tensor Product Production System: A modular architecture and representation. Connection Science, 1, 53-68.
  45. Mozer, M. C., & Smolensky, P. (1989). Skeletonization: Trimming the fat from a network via relevance assessment. In D. S. Touretzky (Ed.), Advances in Neural Information Processing Systems 1. San Mateo, CA: Morgan Kaufmann. [Collected papers of the IEEE Conference on Neural Information Processing Systems-Natural and Synthetic, Denver, Nov. 1988.] 107-115.
  46. Brousse, O. & Smolensky, P. (1989). Virtual memories and massive generalization in connectionist combinatorial learning. Proceedings of the Eleventh Annual Meeting of the Cognitive Science Society. Ann Arbor, MI. August. 380-387.
  47. Smolensky, P. (1988). Analysis of distributed representation of constituent structure in connectionist systems. Proceedings of Neural Information Processing SystemsC87. Denver, CO. November. 730-739.
  48. Bein, J. & Smolensky, P. (1988). Application of the interactive activation model to document retrieval. Proceedings of Neuro-Nīmes 1988: Neural networks and their applications. Nīmes, France. November. 295-308.
  49. McMillan, C. & Smolensky, P. (1988). Analyzing a connectionist model as a system of soft rules. Proceedings of the Tenth Annual Meeting of the Cognitive Science Society. Montreal, Canada. August. 62-68.
  50. Dolan, C. & Smolensky, P. (1988). Implementing a connectionist production system using tensor products. In D. Touretzky, G. E. Hinton, & T. J. Sejnowski (Eds.), Proceedings of the Connectionist Models Summer School, 1988. Morgan Kaufmann. 265-272.
  51. Smolensky, P. (1987). On variable binding and the representation of symbolic structures in connectionist systems. Technical Report CU-CS-355-87, Department of Computer Science, University of Colorado at Boulder. February.
  52. Smolensky, P. (1986). Formal modeling of subsymbolic processes: An introduction to harmony theory. In N. E. Sharkey (Ed.), Directions in the Science of Cognition. London: Horwoods. 204-235.
  53. Smolensky, P. (1986). Information processing in dynamical systems: Foundations of harmony theory. In D. E. Rumelhart, J. L. McClelland, & the PDP Research Group, Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Volume 1: Foundations. Cambridge, MA: MIT Press/Bradford Books. 194-281.
  54. Smolensky, P. (1986). Neural and conceptual interpretations of parallel distributed processing models. In J. L. McClelland, D. E. Rumelhart, & the PDP Research Group, Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Volume 2: Psychological and Biological Models. Cambridge, MA: MIT Press/Bradford Books. 390-431.
  55. Rumelhart, D. E., Smolensky, P., McClelland, J. L., & Hinton, G. E. (1986). Schemata and sequential thought processes in parallel distributed processing. J. L. McClelland, D. E. Rumelhart, & the PDP Research Group, Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Volume 2: Psychological and Biological Models. Cambridge, MA: MIT Press/Bradford Books. 7-57. [Reprinted in A. Collins & E. Smith (Eds), 1988, Readings in Cognitive Science, San Mateo, CA: Morgan Kaufmann.]
  56. Smolensky, P. (1984). The mathematical role of self-consistency in parallel computation. Proceedings of the Sixth Annual Conference of the Cognitive Science Society. Boulder, CO. June. 319-325.
  57. Riley, M. S. & Smolensky, P. (1984). A parallel model of (sequential) problem solving. Proceedings of the Sixth Annual Conference of the Cognitive Science Society. Boulder, CO. June. 286-292.
  58. Smolensky, P. (1984). Harmony theory: thermal parallel models in a computational context. In P. Smolensky & M. S. Riley, Harmony theory: Problem solving, parallel cognitive models, and thermal physics, Technical Report 8404. Institute for Cognitive Science, University of California at San Diego. April.
  59. Hinton, G. E. & Smolensky, P. (1984). Parallel computation and the mass-spring model of motor control. Report 123. Center for Human Information Processing, University of California at San Diego. June.
  60. Smolensky, P. (1983). Schema selection and stochastic inference in modular environments. Proceedings of the National Conference on Artificial Intelligence. Washington, DC. August. 378-382.

    61. Foundation

  61. Smolensky, P. (1995). Constituent structure and explanation in an integrated connectionist/symbolic cognitive architecture. In C. Macdonald & G. Macdonald (Eds.). Connectionism: Debates on Psychological Explanation, Volume Two. 221-290. Oxford: Basil Blackwell.
  62. [69] Smolensky, P. (1995). On the projectable predicates of connectionist psychology: A case for belief. In C. Macdonald & G. Macdonald (Eds.). Connectionism: Debates on Psychological Explanation, Volume Two. 357-394. Oxford: Basil Blackwell.
  63. Smolensky, P. (1994). Computational theories of mind. In S. Guttenplan (Ed.), A Companion to the Philosophy of Mind. Blackwell Publishers. 176-185.
  64. Smolensky, P. (1991). Connectionism, constituency, and the language of thought. In B. Loewer & G. Rey (Eds.), Meaning in Mind: Fodor and his Critics. Oxford: Basil Blackwell. 201-227. [Reprinted in C. Macdonald & G. Macdonald (Eds.), (1995), Connectionism: Debates on Psychological Explanation, Volume Two, Oxford: Basil Blackwell.]
  65. Smolensky, P. (1990). Connectionism and the foundations of AI. In D. Partridge & Y. Wilks (Eds.), The Foundations of Artificial Intelligence: A Sourcebook. Cambridge: Cambridge University Press. 306-326.
  66. Smolensky, P. (1989). Connectionism and constituent structure. In R. Pfeifer, Z. Schreter, F. Fogelman, & L. Steels (Eds.), Connectionism in Perspective. Amsterdam: Elsevier. 3-24.
  67. Smolensky, P. (1989). Connectionist modeling: Neural computation/mental connections. In L. Nadel (Ed.), P. Culicover, L. A. Cooper, R. M. Harnish (Assoc. Eds.), Neural connections, mental computation. Cambridge, MA: MIT Press/Bradford. 49-67. [Reprinted in J. Haugeland, (Ed.). (1997). Mind Design II: Philosophy, Psychology, Artificial Intelligence, MIT Press/Bradford Books.]
  68. Smolensky, P. (1987). On the connectionist reduction of conscious rule interpretation. Proceedings of the Ninth Conference of the Cognitive Science Society. Seattle, WA. July. 187-94.
  69. Smolensky, P. (1987). The constituent structure of connectionist mental states: A reply to Fodor and Pylyshyn. Southern Journal of Philosophy, 26 (Supplement), 137-63. [Reprinted in T. Horgan & J. Tienson (Eds.), (1991), Connectionism and the Philosophy of Mind, Dordrecht: Kluwer Academic. 281-308; Spanish translation in E. Rabossi (Ed.), Filosofķa y Ciencia Cognitiva, Buenos Aires-Barcelona: Editorial Paidós.]

    Integrative

  70. Smolensky, P., Legendre, G., & Miyata, Y. (1993). Integrating connectionist and symbolic computation for the theory of language. Current Science 64, 381-391. Reprinted in: V. Honavar & L. Uhr, Artificial Intelligence and Neural Networks: Steps Toward Principled Integration, 509-530. Academic Press.
  71. Smolensky, P., Legendre, G., & Miyata, Y. (1992). Principles for an Integrated Connectionist/Symbolic Theory of Higher Cognition. Technical Report CU-CS-600-92, Department of Computer Science and 92-8, Institute of Cognitive Science. University of Colorado at Boulder. (75 pages). Expanded to [2].
  72. McNaughton, B. L. & Smolensky, P. (1991). Connectionist and neural modeling: Converging in the hippocampus. In R. G. Lister & H. J. Weingartner (Eds.), Perspectives on Cognitive Neuroscience. Oxford University Press. 93-109.
  73. Smolensky, P. (1990). In defense of PTC: Reply to continuing commentary. The Behavioral and Brain Sciences. 13, 407-411.
  74. Smolensky, P. (1988). Putting Together Connectionism-again. The Behavioral and Brain Sciences, 11, 59-74.
  75. Smolensky, P. (1988). On the proper treatment of connectionism. The Behavioral and Brain Sciences, 11, 1-23. [Reprinted in D. Cole, J. Fetzer, & T. Rankin (Eds.), (1990), Philosophy, Mind, and Cognitive Inquiry, Dordrecht: Kluwer Academic; A. I. Goldman, (1994), Readings in Philosophy and Cognitive Science, Cambridge: MIT Press/Bradford Books; and C. Macdonald & G. Macdonald (Eds.), (1995), Connectionism: Debates on Psychological Explanation, Volume Two, Oxford: Basil Blackwell; Italian translation published as monograph, Il connessionismo [7]; Hungarian translation in A Cognitive Science Reader, Budapest: Osiris Publishing House. (1997)]
  76. Smolensky, P. (1987). Connectionist AI, symbolic AI, and the brain. Artificial Intelligence Review, 1, 95-109. [French translation with added post scriptum in D. Andler, (Ed.). (1992). Introduction aux sciences cognitives, Editions Gallimard.]
  77. Smolensky, P. (1987). Connectionism and implementation: Commentary on J. R. Anderson, Methodologies for studying human knowledge. The Behavioral and Brain Sciences, 10.

    78. Others

  78. Bernstein, B., Smolensky, P., & Bell, B. (1989). Design of a constraint-based hypertext system to augment human reasoning. Proceedings of the Rocky Mountain Conference on Artificial Intelligence. Denver, CO. June.
  79. Smolensky, P., Fox, B., King, R., Lewis, C. (1988). Computer-aided reasoned discourse, or, How to argue with a computer. In R. Guindon (Ed.), Cognitive Science and Its Applications For Human-Computer Interaction. Hillsdale, NJ: Erlbaum. 109-62.
  80. Smolensky, P. (1988). A design for Hype: A hypertext system for oral presentations. Technical Report, Xerox Palo Alto Research Center, Intelligent Systems Laboratory. February.
  81. Smolensky, P., Bell, B., Fox, B., King, R., & Lewis, C. (1987). Constraint-based hypertext for argumentation. Proceedings of Hypertext-87. Chapel Hill, NC. November. 215-245.
  82. Smolensky, P., Monty, M. L. & Conway, E. (1984). Formalizing task descriptions for command specification and documentation. Proceedings of the International Federation of Information Processing Conference on Human-Computer Interaction. London, England. September. 603-609.
  83. Greenspan, S. & Smolensky, P. (1984). DESCRIBE: Environments for Specifying Commands and Retrieving Information By Elaboration. In User centered system design, Part II, Technical Report No. 8402. Institute for Cognitive Science, University of California at San Diego. March.
  84. O'Malley, C., Smolensky, P, Bannon, L., Conway, E., Graham, J., Sokolov, J., & Monty, M. L. (1983). A proposal for user centered system documentation. Proceedings of the CHI 1983 Conference on Human Factors in Computing Systems. Boston, MA. December.
  85. Freedman, B., Smolensky, P, & Weingarten, D. H. (1982). Monte Carlo evaluation of the continuum limit of (j4)4 and (j4)3 field theory. Physics Letters B, 113, 481-486.
  86. Smolensky, P. (1981). Lattice Renormalization of j4 Theory. Doctoral thesis in mathematical physics, Indiana University.
  87. Bradbury, K., Danziger, S., Smolensky, E., & Smolensky, P. (1979). Public assistance, female headship and economic well-being. Journal of Marriage and the Family, 519-535. [Reprinted in G. McDonald & F. Nye (Eds.), (1979), Family policy, National Council on Family Relations.]
  88. Cicchetti, C., Gillen, W., & Smolensky, P. (1977). The Marginal Cost and Pricing of Electricity: An Applied Approach. Ballinger.