chapter

Steps toward artificial intelligence

Author:

Marvin MinskyAuthors Info & Claims

Computers & thought

October 1995

Pages 406 - 450

Published: 26 October 1995 Publication History

Abstract

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Varando GBielza CLarrañaga P(2016)Decision functions for chain classifiers based on Bayesian networks for multi-label classificationInternational Journal of Approximate Reasoning10.1016/j.ijar.2015.06.00668:C(164-178)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.1016/j.ijar.2015.06.006
Varando GBielza CLarrañaga P(2015)Decision boundary for discrete Bayesian network classifiersThe Journal of Machine Learning Research10.5555/2789272.291208616:1(2725-2749)Online publication date: 1-Jan-2015
https://dl.acm.org/doi/10.5555/2789272.2912086
Schmidhuber J(2015)Deep learning in neural networksNeural Networks10.1016/j.neunet.2014.09.00361:C(85-117)Online publication date: 1-Jan-2015
https://dl.acm.org/doi/10.1016/j.neunet.2014.09.003
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Index Terms

Steps toward artificial intelligence
1. Computing methodologies
  1. Artificial intelligence
2. Theory of computation
  1. Design and analysis of algorithms
    1. Algorithm design techniques
      1. Dynamic programming

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Published In

Computers & thought

October 1995

403 pages

ISBN:0262560925

Editors:
Edward A. Feigenbaum
Stanford Univ., Stanford, CA
,
Julian Feldman
Univ. of California, Irvine

Publisher

MIT Press

Cambridge, MA, United States

Publication History

Published: 26 October 1995

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Varando GBielza CLarrañaga P(2016)Decision functions for chain classifiers based on Bayesian networks for multi-label classificationInternational Journal of Approximate Reasoning10.1016/j.ijar.2015.06.00668:C(164-178)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.1016/j.ijar.2015.06.006
Varando GBielza CLarrañaga P(2015)Decision boundary for discrete Bayesian network classifiersThe Journal of Machine Learning Research10.5555/2789272.291208616:1(2725-2749)Online publication date: 1-Jan-2015
https://dl.acm.org/doi/10.5555/2789272.2912086
Schmidhuber J(2015)Deep learning in neural networksNeural Networks10.1016/j.neunet.2014.09.00361:C(85-117)Online publication date: 1-Jan-2015
https://dl.acm.org/doi/10.1016/j.neunet.2014.09.003
Muzy AZeigler BWainer GMosterman P(2012)Activity-based credit assignment (ACA) in hierarchical simulationProceedings of the 2012 Symposium on Theory of Modeling and Simulation - DEVS Integrative M&S Symposium10.5555/2346616.2346621(1-8)Online publication date: 26-Mar-2012
https://dl.acm.org/doi/10.5555/2346616.2346621
Borchani HLarrañaga PBielza C(2010)Mining concept-drifting data streams containing labeled and unlabeled instancesProceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I10.5555/1945758.1945821(531-540)Online publication date: 1-Jun-2010
https://dl.acm.org/doi/10.5555/1945758.1945821
Álvarez ACearreta ILópez JArruti ALazkano ESierra BGaray N(2007)Application of feature subset selection based on evolutionary algorithms for automatic emotion recognition in speechProceedings of the 2007 international conference on Advances in nonlinear speech processing10.5555/1784829.1784859(273-281)Online publication date: 22-May-2007
https://dl.acm.org/doi/10.5555/1784829.1784859
Senkul SPolat F(2002)Learning intelligent behavior in a non-stationary and partially observable environmentArtificial Intelligence Review10.1023/A:101993550213918:2(97-115)Online publication date: 1-Oct-2002
https://dl.acm.org/doi/10.1023/A%3A1019935502139
Kaikhah KGarlick R(2000)Variable Hidden Layer Sizing in Elman Recurrent Neuro-EvolutionApplied Intelligence10.1023/A:100831502373812:3(193-205)Online publication date: 1-May-2000
https://dl.acm.org/doi/10.1023/A%3A1008315023738
Baum E(1999)Toward a Model of Intelligence as an Economy of AgentsMachine Language10.1023/A:100759312451335:2(155-185)Online publication date: 1-May-1999
https://dl.acm.org/doi/10.1023/A%3A1007593124513
Binsted KRitchie G(1994)An implemented model of punning riddlesProceedings of the Twelfth AAAI National Conference on Artificial Intelligence10.5555/2891730.2891827(633-638)Online publication date: 1-Aug-1994
https://dl.acm.org/doi/10.5555/2891730.2891827
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Artificial intelligence

Artificial Intelligence: Theories, Models and Applications 7th Hellenic Conference on AI, SETN 2012, Lamia, Greece, May 28-31, 2012, Proceedings

ARTIFICIAL INTELLIGENCE LAW

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