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Introduction to the 2005 Rumelhart Prize Special Issue Honoring Paul Smolensky

2006 Cognitive Science  
Paul Smolensky, recipient of the 2005 David E. Rumelhart Prize. This prize was instituted in 2001, funded by the Robert J. Glushko and Pamela Samuelson Foundation.  ...  Smolensky is the second prominent connectionist modeler to receive the Rumelhart Prize.  ...  ., & Smolensky, P. (1997). Optimality: From neural networks to universal grammar. Science, 275, 1604-1610. Rumelhart, D.E., Smolensky, P., McClelland, J.L., & Hinton, G.E. (1986.  ... 
doi:10.1207/s15516709cog0000_87 pmid:21702836 fatcat:kwo2xyvvsfh2dibpata7tivld4

Alan Prince and Paul Smolensky, Optimality Theory : Constraint Interaction in Generative Grammar, Blackwell Publishing Ltd., 2004., 289pp

上田 功
2005 Studies in English Literature  
Alan Princc and Paul Smolensky , ( iptimality Theo , y 27S な 考 え 方 の 妥 当 性 を 、英 語の 前 置詞 の 意 味 に 関 す る コ ネ ク シ ョ ニ ス トモ デ ル に よ る 実 験 ・ 分析 に よ っ て 示 して い る 。  ...  名 古 屋 大 学 一 籾 山 洋 介 Alan Prince and Paul Smolensky , ( ) ptima 勿 17 泡 o ワ , Gonstraint lntera 'tion in Generative Grammar Blackwell Publishing Ltdり 2004 . 289 PP ・ 言 わ ず と 知 れ た 、 「 最 適 性 理 論 」 ( OPtimality  ... 
doi:10.20759/elsjp.82.0_275 fatcat:3zr4rpv5cnba3djexdygwyhfci

Ivanov-Smolensky and operant conditioning: an historical note

Paul Touchette
1977 Journal of The Experimental Analysis of Behavior  
IVANOV-SMOLENSKY, M.D.  ...  Ivanov-Smolensky considered the differences between his teclhnique and that of his colleague, Pavlov, inconsequential.  ... 
doi:10.1901/jeab.1977.28-181 pmid:16812025 pmcid:PMC1333630 fatcat:x4pws5ra65fkfauw4zr5pegy4e

Public Assistance, Female Headship, and Economic Well-Being

Katharine Bradbury, Sheldon Danziger, Eugene Smolensky, Paul Smolensky
1979 Journal of Marriage and Family  
doi:10.2307/351623 fatcat:q7ahq3jjdfesvk5vrtwgfwv4ju

Quantum Language Processing [article]

Nathan Wiebe, Alex Bocharov, Paul Smolensky, Matthias Troyer, Krysta M Svore
2019 arXiv   pre-print
We present a representation for linguistic structure that we call a Fock-space representation, which allows us to embed problems in language processing into small quantum devices. We further develop a formalism for understanding both classical as well as quantum linguistic problems and phrase them both as a Harmony optimization problem that can be solved on a quantum computer which we show is related to classifying vectors using quantum Boltzmann machines. We further provide a new training
more » ... d for learning quantum Harmony operators that describe a language. This also provides a new algorithm for training quantum Boltzmann machines that requires no approximations and works in the presence of hidden units. We additionally show that quantum language processing is BQP-complete, meaning that it is polynomially equivalent to the circuit model of quantum computing which implies that quantum language models are richer than classical models unless BPP=BQP. It also implies that, under certain circumstances, quantum Boltzmann machines are more expressive than classical Boltzmann machines. Finally, we examine the performance of our approach numerically for the case of classical harmonic grammars and find that the method is capable of rapidly parsing even non-trivial grammars. This suggests that the work may have value as a quantum inspired algorithm beyond its initial motivation as a new quantum algorithm.
arXiv:1902.05162v1 fatcat:d4peucjpbjgknh6rb232y5ve7q

Harmony in Linguistic Cognition

Paul Smolensky
2006 Cognitive Science  
ICS is developed in detail in Smolensky and Legendre (2006a) ; this article is a précis of and guide to those volumes.  ...  The most important outgrowth of the ICS research program is optimality theory (Prince & Smolensky, 1993 , an optimization-based grammatical theory that provides a formal theory of cross-linguistic typology  ...  I also acknowledge advice from Natalie Smolensky that has driven the work described here: "When you get to the fork in the road, take it" (Yogi Berra).  ... 
doi:10.1207/s15516709cog0000_78 pmid:21702837 fatcat:qushs3umdzc5dngxqt7d5qv7mu

Scalable knowledge base completion with superposition memories [article]

Matthias Lalisse, Eric Rosen, Paul Smolensky
2021 arXiv   pre-print
As binding operations, we evaluate the tensor product (1) (Smolensky, 1990) and circular convolution (2).  ...  Second, completion of memory states using a learned transformation based on Harmony-optimization methods (Smolensky and Legendre, 2006) (see §4).  ... 
arXiv:2110.12341v1 fatcat:b5fet3yb6rbebnt6doeilt3tam

Distributed neural encoding of binding to thematic roles [article]

Matthias Lalisse, Paul Smolensky
2021 arXiv   pre-print
Several detailed theoretical proposals exist to this effect (Smolensky, 1990; Plate, 1994; Kanerva, 2009) , though it is not simple to relate them to available neural observations.  ...  This distributed hypothesis is derived from theoretical work in AI on the artificial-neural-network version of this problem (Smolensky, 1990) , where an explicit account of distributed encoding of symbolic  ... 
arXiv:2110.12342v1 fatcat:5p57ctz5mfggne2exuth37flxu

Learnability in Optimality Theory

Bruce Tesar, Paul Smolensky
1998 Linguistic Inquiry  
The central claim of this article is that the character of the restrictions imposed by Optimality Theory Smolensky 1991, 1993) have demonstrable and significant consequences for central questions of learnability  ...  The defining reference is Prince and Smolensky 1993 (henceforth, P&S) .  ...  (For further discussion of the relation of these assumptions to the learnability theory developed here, see Smolensky 1996a,b.)  ... 
doi:10.1162/002438998553734 fatcat:6tcwtoc525bdti42u6jpu3n57e

Grammar-based Connectionist Approaches to Language

Paul Smolensky
1999 Cognitive Science  
SMOLENSKY  ...  Two such grammar formalisms-Harmonic Grammar (Legendre, Miyata, & Smolensky, 1990a,b) and Optimality Theory (Prince & Smolensky, 1991 -are briefly introduced to illustrate grammar-based approaches to connectionist  ...  Direct all correspondence to: Paul Smolensky, Department of Cognitive Science, Johns Hopkins University, Krieger Hall 239A, 3400 N.  ... 
doi:10.1207/s15516709cog2304_9 fatcat:62f2ooo3ovcppfk4tqmxpdbeue

Learning and analyzing vector encoding of symbolic representations [article]

Roland Fernandez, Asli Celikyilmaz, Rishabh Singh, Paul Smolensky
2018 arXiv   pre-print
HRRs are essentially contracted TPRs (Smolensky & Legendre, 2006, 260) .  ...  ., 2016; Smolensky, 1990; Smolensky & Legendre, 2006 ) -or major error-correction/clean-up processes -e.g., Holographic Reduced Representation, HRR (Crawford et al., 2016; Plate, 1993; 2002; 2003) (Sec  ... 
arXiv:1803.03834v1 fatcat:pzhvfjsgyzg3lh3uzvrpdsph74

Discrete symbolic optimization and Boltzmann sampling by continuous neural dynamics: Gradient Symbolic Computation [article]

Paul Tupper, Paul Smolensky, Pyeong Whan Cho
2018 arXiv   pre-print
A natural approach, as used in (Smolensky et al., 2014) is to begin with q small, thereby biasing the system to be in states close to the global optimum, and then to slowly increase q while decreasing  ...  (Smolensky, , 1986 ).  ...  it (Prince & Smolensky, 1997) .  ... 
arXiv:1801.03562v1 fatcat:a4c2hbkjarekrk7etumbrtj6vm

On the proper treatment of connectionism

Paul Smolensky
1988 Behavioral and Brain Sciences  
A key idea of connectionism is that the entities available to conscious reflection, and which appear to have causal force in human cognition, are emergent from an underlying microstructure (Smolensky  ... 
doi:10.1017/s0140525x00052432 fatcat:y7mvzrqglnecdkpeklmmnvz3ue

Basic Reasoning with Tensor Product Representations [article]

Paul Smolensky, Moontae Lee, Xiaodong He, Wen-tau Yih, Jianfeng Gao, Li Deng
2016 arXiv   pre-print
In this paper we present the initial development of a general theory for mapping inference in predicate logic to computation over Tensor Product Representations (TPRs; Smolensky (1990), Smolensky & Legendre  ... 
arXiv:1601.02745v1 fatcat:n5tphozl6bhzti7th6n4tldd7i

On the Proper Treatment of Connectionism [chapter]

Paul Smolensky
1990 Philosophy, Mind, and Cognitive Inquiry  
A key idea of connectionism is that the entities available to conscious reflection, and which appear to have causal force in human cognition, are emergent from an underlying microstructure (Smolensky  ... 
doi:10.1007/978-94-009-1882-5_6 fatcat:mikybmr2uzbg5hiemidmclln74
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