No harm intended: Marvin L. Minsky and Seymour A. Papert. Perceptrons: An Introduction to Computational Geometry, Expanded Edition. Cambridge, MA: MIT Press, 1988. Pp. 292. $12.50 (paper)

[1]  S. Pinker,et al.  On language and connectionism: Analysis of a parallel distributed processing model of language acquisition , 1988, Cognition.

[2]  Ronald Rosenfeld,et al.  Four Capacity Models for Coarse-Coded Symbol Memories , 1987 .

[3]  Ronald L. Rivest,et al.  Training a 3-node neural network is NP-complete , 1988, COLT '88.

[4]  Geoffrey E. Hinton,et al.  Distributed Representations , 1986, The Philosophy of Artificial Intelligence.

[5]  Terrence J. Sejnowski,et al.  NETtalk: a parallel network that learns to read aloud , 1988 .

[6]  Geoffrey E. Hinton,et al.  Learning distributed representations of concepts. , 1989 .

[7]  James L. McClelland,et al.  On learning the past-tenses of English verbs: implicit rules or parallel distributed processing , 1986 .

[8]  Allen Newell,et al.  Perceptrons. An Introduction to Computational Geometry. Marvin Minsky and Seymour Papert. M.I.T. Press, Cambridge, Mass., 1969. vi + 258 pp., illus. Cloth, $12; paper, $4.95 , 1969 .

[9]  H. D. Block,et al.  A Review of "Perceptrons: An Introduction to Computational Geometry" by Marvin Minsky and Seymour Papert , 1970, Inf. Control..

[10]  Dean Pomerleau,et al.  ALVINN, an autonomous land vehicle in a neural network , 2015 .

[11]  David S. Touretzky,et al.  A distributed connectionist representation for concept structures , 1987 .

[12]  David Lorge Parnas,et al.  Software aspects of strategic defense systems , 1985, CACM.

[13]  John R. Searle,et al.  The Intentionality of Intention and Action , 1980, Cogn. Sci..

[14]  A. L. Samuel,et al.  Some studies in machine learning using the game of checkers. II: recent progress , 1967 .

[15]  David Zipser,et al.  Feature Discovery by Competive Learning , 1986, Cogn. Sci..

[16]  Jordan B. Pollack,et al.  Massively Parallel Parsing: A Strongly Interactive Model of Natural Language Interpretation , 1988, Cogn. Sci..

[17]  J. F. Kolen.  Faster learning through a probabilistic approximation algorithm , 1988, IEEE 1988 International Conference on Neural Networks.

[18]  B. Chandrasekaran.  Towards a Functional Architecture for Intelligence Based on Generic Information Processing Tasks , 1987, IJCAI.

[19]  Christopher Cherniak,et al.  Undebuggability and cognitive science , 1988, CACM.