-
2
-
-
29444439937
-
Cognitive arithmetic: A review of data and theory
-
S. Dehaene (Ed.), Blackwell Press Cambridge, MA
-
M.H. Ashcraft Cognitive arithmetic: A review of data and theory in: S. Dehaene (Ed.), Numerical Cognition 1993 Blackwell Press Cambridge, MA
-
(1993)
Numerical Cognition
-
-
Ashcraft, M.H.1
-
3
-
-
0020970738
-
Neuron like adaptive elements that can solve difficult learning control problems
-
A.G. Barto R.S. Sutton C.W. Anderson Neuron like adaptive elements that can solve difficult learning control problems IEEE Trans. Syst. Man Cybern. 13 5 1983 834-846
-
(1983)
IEEE Trans. Syst. Man Cybern.
, vol.13
, Issue.5
, pp. 834-846
-
-
Barto, A.G.1
Sutton, R.S.2
Anderson, C.W.3
-
4
-
-
0026923465
-
Learning and tuning fuzzy logic controllers through reinforcements
-
H.R. Berenji P. Khedkar Learning and tuning fuzzy logic controllers through reinforcements IEEE Trans. Neural Networks 3 5 1992 724-740
-
(1992)
IEEE Trans. Neural Networks
, vol.3
, Issue.5
, pp. 724-740
-
-
Berenji, H.R.1
Khedkar, P.2
-
5
-
-
0030395785
-
Refining linear fuzzy rules by reinforcement learning
-
H.R. Berenji, P. Khedkar, A. Malkani, Refining linear fuzzy rules by reinforcement learning, Proceedings of the IEEE International Conference on Fuzzy Systems, vol. 3, 1996, pp. 1750-1756.
-
(1996)
Proceedings of the IEEE International Conference on Fuzzy Systems
, vol.3
, pp. 1750-1756
-
-
Berenji, H.R.1
Khedkar, P.2
Malkani, A.3
-
6
-
-
23044519454
-
Learning fuzzy classifier systems
-
L. Lanzi W. Stolzmann S.W. Wilson (Eds.) Springer Berlin
-
A. Bonarini Learning fuzzy classifier systems in: L. Lanzi W. Stolzmann S.W. Wilson (Eds.), Learning Classifier System New Directions and Concepts 2000 Springer Berlin 83-106
-
(2000)
Learning Classifier System New Directions and Concepts
, pp. 83-106
-
-
Bonarini, A.1
-
7
-
-
0035359275
-
An approach to the design of reinforcement functions in real world, agent-based applications
-
A. Bonarini C. Bonacina M. Matteucci An approach to the design of reinforcement functions in real world, agent-based applications IEEE Trans. Syst. Man Cybern.-Part B 31 3 2001 288-301
-
(2001)
IEEE Trans. Syst. Man Cybern.-Part B
, vol.31
, Issue.3
, pp. 288-301
-
-
Bonarini, A.1
Bonacina, C.2
Matteucci, M.3
-
8
-
-
0035426729
-
Learning fuzzy classifier systems for multi-agent coordination
-
A. Bonarini V. Trianni Learning fuzzy classifier systems for multi-agent coordination Inf. Sci. 136 2001 215-239
-
(2001)
Inf. Sci.
, vol.136
, pp. 215-239
-
-
Bonarini, A.1
Trianni, V.2
-
9
-
-
0003862635
-
Intelligent behavior as an adaptation to the task environment
-
L.B. Booker Intelligent behavior as an adaptation to the task environment Diss. Abstr. Int. 43 2 1982 469B
-
(1982)
Diss. Abstr. Int.
, vol.43
, Issue.2
-
-
Booker, L.B.1
-
10
-
-
0041641437
-
Accuracy-based neuro and neuro-fuzzy classifier systems
-
Morgan Kaufmann, Los Altos, CA
-
L. Bull, T. O'Hara, Accuracy-based neuro and neuro-fuzzy classifier systems, Proceedings of the Genetic and Evolutionary Computation Conference, Morgan Kaufmann, Los Altos, CA, 2002, pp. 905-911.
-
(2002)
Proceedings of the Genetic and Evolutionary Computation Conference
, pp. 905-911
-
-
Bull, L.1
O'Hara, T.2
-
14
-
-
0003597001
-
Incremental learning, or the importance of starting small
-
Technical Report 9101, Center for Research in Language, University of California, San Diego
-
J.L. Elman, Incremental learning, or the importance of starting small, Technical Report 9101, Center for Research in Language, University of California, San Diego 1991.
-
(1991)
-
-
Elman, J.L.1
-
15
-
-
0001412821
-
A study on fuzzy classifier system for finding control knowledge of multi-input systems
-
T. Furuhashi K. Nakaoka Y. Uchikawa A study on fuzzy classifier system for finding control knowledge of multi-input systems J. Stud. Fuzziness Soft Comput. 8 1996 489-502
-
(1996)
J. Stud. Fuzziness Soft Comput.
, vol.8
, pp. 489-502
-
-
Furuhashi, T.1
Nakaoka, K.2
Uchikawa, Y.3
-
20
-
-
0001666176
-
Cognitive systems based on adaptive algorithms
-
D.A. Waterman F. Hayes-Roth Pattern (Eds.), Academic Press New York
-
J.H. Holland J.S. Reitman Cognitive systems based on adaptive algorithms in: D.A. Waterman F. Hayes-Roth Pattern (Eds.), Directed Inference Systems 1978 Academic Press New York 313-329
-
(1978)
Pattern Directed Inference Systems
, pp. 313-329
-
-
Holland, J.H.1
Reitman, J.S.2
-
21
-
-
0026923902
-
On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm
-
S. Horikawa T. Furuhashi Y. Uchikawa On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm IEEE Trans. Neural Networks 3 5 1992 801-806
-
(1992)
IEEE Trans. Neural Networks
, vol.3
, Issue.5
, pp. 801-806
-
-
Horikawa, S.1
Furuhashi, T.2
Uchikawa, Y.3
-
22
-
-
0033329971
-
Improving the performance of fuzzy classifier systems for pattern classification problems with continuous attributes
-
H. Ishibuchi T. Nakashima Improving the performance of fuzzy classifier systems for pattern classification problems with continuous attributes IEEE Trans. Ind. Electron. 46 6 1999 1057-1068
-
(1999)
IEEE Trans. Ind. Electron
, vol.46
, Issue.6
, pp. 1057-1068
-
-
Ishibuchi, H.1
Nakashima, T.2
-
23
-
-
0032597810
-
Performance evaluation of fuzzy classifier systems for multidimensional pattern classification problems
-
H. Ishibuchi T. Nakashima T. Murata Performance evaluation of fuzzy classifier systems for multidimensional pattern classification problems IEEE Trans. Syst. Man Cybern.-Part B 29 5 1999 601-618
-
(1999)
IEEE Trans. Syst. Man Cybern.-Part B
, vol.29
, Issue.5
, pp. 601-618
-
-
Ishibuchi, H.1
Nakashima, T.2
Murata, T.3
-
24
-
-
0001683059
-
Task decomposition through competition in a modular connectionist architecture: The what and where visual tasks
-
R.A. Jacobs M.I. Jordan A.G. Barto Task decomposition through competition in a modular connectionist architecture: The what and where visual tasks Cognitive Sci. 15 1991 219-250
-
(1991)
Cognitive Sci.
, vol.15
, pp. 219-250
-
-
Jacobs, R.A.1
Jordan, M.I.2
Barto, A.G.3
-
27
-
-
0000612809
-
Fuzzy basis functions: Comparisons with other basis functions
-
H.M. Kim J.M. Mendel Fuzzy basis functions: Comparisons with other basis functions IEEE Trans. Fuzzy Syst. 3 2 1995 158-168
-
(1995)
IEEE Trans. Fuzzy Syst.
, vol.3
, Issue.2
, pp. 158-168
-
-
Kim, H.M.1
Mendel, J.M.2
-
28
-
-
0023983407
-
The 'neural' phonetic typewriter
-
T. Kohonen The 'neural' phonetic typewriter IEEE Comput. 27 3 1988 11-12
-
(1988)
IEEE Comput.
, vol.27
, Issue.3
, pp. 11-12
-
-
Kohonen, T.1
-
29
-
-
0024124595
-
Statistical pattern recognition with neural networks: Benchmarking studies
-
T. Kohonen, G. Barna, R. Chrisley, Statistical pattern recognition with neural networks: Benchmarking studies, Proceedings of the IEEE International Conference on Neural Networks, vol. 1, 1988, pp. 61-68.
-
(1988)
Proceedings of the IEEE International Conference on Neural Networks
, vol.1
, pp. 61-68
-
-
Kohonen, T.1
Barna, G.2
Chrisley, R.3
-
30
-
-
0026837390
-
Adaptive fuzzy systems for backing up a truck-and-trailer
-
S.-G. Kong B. Kosko Adaptive fuzzy systems for backing up a truck-and-trailer IEEE Trans. Neural Networks 3 2 1992 211-223
-
(1992)
IEEE Trans. Neural Networks
, vol.3
, Issue.2
, pp. 211-223
-
-
Kong, S.-G.1
Kosko, B.2
-
31
-
-
0034314744
-
Designing classifier fusion systems by genetic algorithms
-
L.I. Kuncheva L.C. Jain Designing classifier fusion systems by genetic algorithms IEEE Trans. Evol. Comput. 4 4 2000 327-336
-
(2000)
IEEE Trans. Evol. Comput.
, vol.4
, Issue.4
, pp. 327-336
-
-
Kuncheva, L.I.1
Jain, L.C.2
-
33
-
-
0035792091
-
Construction of fuzzy basis function networks using adaptive least squares method
-
C.W. Lee, Y.C. Shin, Construction of fuzzy basis function networks using adaptive least squares method, IFSA World Congress and 20th NAFIPS International Conference, vol. 5, 2001, pp. 2630-2635.
-
(2001)
IFSA World Congress and 20th NAFIPS International Conference
, vol.5
, pp. 2630-2635
-
-
Lee, C.W.1
Shin, Y.C.2
-
34
-
-
0037332304
-
Self-organizing neuro-fuzzy system for control of unknown plants
-
C.S. Li C.Y. Lee Self-organizing neuro-fuzzy system for control of unknown plants IEEE Trans. Fuzzy Syst. 11 1 2003 135-150
-
(2003)
IEEE Trans. Fuzzy Syst.
, vol.11
, Issue.1
, pp. 135-150
-
-
Li, C.S.1
Lee, C.Y.2
-
35
-
-
0030147547
-
Reinforcement learning for an ART-based fuzzy adaptive learning control network
-
C.J. Lin C.T. Lin Reinforcement learning for an ART-based fuzzy adaptive learning control network IEEE Trans. Neural Networks 7 3 1996 709-731
-
(1996)
IEEE Trans. Neural Networks
, vol.7
, Issue.3
, pp. 709-731
-
-
Lin, C.J.1
Lin, C.T.2
-
36
-
-
0031268065
-
An ART-based fuzzy adaptive learning control network
-
C.J. Lin C.T. Lin An ART-based fuzzy adaptive learning control network IEEE Trans. Fuzzy Syst. 5 4 1997 477-496
-
(1997)
IEEE Trans. Fuzzy Syst.
, vol.5
, Issue.4
, pp. 477-496
-
-
Lin, C.J.1
Lin, C.T.2
-
37
-
-
0028369322
-
Reinforcement structure/parameter learning for neural-network-based fuzzy logic control systems
-
C.T. Lin C.S.G. Lee Reinforcement structure/parameter learning for neural-network-based fuzzy logic control systems IEEE Trans. Fuzzy Syst. 2 1 1994 46-63
-
(1994)
IEEE Trans. Fuzzy Syst.
, vol.2
, Issue.1
, pp. 46-63
-
-
Lin, C.T.1
Lee, C.S.G.2
-
39
-
-
0026900986
-
Cognitive mechanisms in numerical processing: Evidence from acquired dyscalculia
-
M. McCloskey Cognitive mechanisms in numerical processing: Evidence from acquired dyscalculia Cognition 44 1993 107-157
-
(1993)
Cognition
, vol.44
, pp. 107-157
-
-
McCloskey, M.1
-
40
-
-
0035391755
-
Learning to trade via direct reinforcement
-
J. Moody M. Saffell Learning to trade via direct reinforcement IEEE Trans. Neural Networks 12 2 2001 875-889
-
(2001)
IEEE Trans. Neural Networks
, vol.12
, Issue.2
, pp. 875-889
-
-
Moody, J.1
Saffell, M.2
-
41
-
-
0028744860
-
Concept development in a scaffolded neural network
-
R. Paradis, E. Dietrich, Concept development in a scaffolded neural network, IEEE International Conference on Neural Networks, vol. 4, 1994, pp. 2339-2343.
-
(1994)
IEEE International Conference on Neural Networks
, vol.4
, pp. 2339-2343
-
-
Paradis, R.1
Dietrich, E.2
-
42
-
-
0036565201
-
Subsethood-product fuzzy neural inference system
-
S. Paul S. Kumar Subsethood-product fuzzy neural inference system IEEE Trans. Neural Networks 13 3 2002 578-599
-
(2002)
IEEE Trans. Neural Networks
, vol.13
, Issue.3
, pp. 578-599
-
-
Paul, S.1
Kumar, S.2
-
43
-
-
0036570250
-
Reinforcement learning agents
-
C. Ribeiro Reinforcement learning agents Artif. Intell. Rev. 17 2002 223-250
-
(2002)
Artif. Intell. Rev.
, vol.17
, pp. 223-250
-
-
Ribeiro, C.1
-
44
-
-
0343486134
-
A general method for multi-agent learning and incremental self-improvement in unrestricted environments
-
X. Yao (Ed.) Scientific Publ. Co., Singapore
-
J. Schmidhuber, A general method for multi-agent learning and incremental self-improvement in unrestricted environments, in: X. Yao (Ed.), Evolutionary Computation: Theory and Applications, Scientific Publ. Co., Singapore, 1996.
-
(1996)
Evolutionary Computation: Theory and Applications
-
-
Schmidhuber, J.1
-
45
-
-
0035273403
-
Online learning control by association and reinforcement
-
J. Si Y.T. Wang Online learning control by association and reinforcement IEEE Trans. Neural Networks 12 2 2001 264-276
-
(2001)
IEEE Trans. Neural Networks
, vol.12
, Issue.2
, pp. 264-276
-
-
Si, J.1
Wang, Y.T.2
-
47
-
-
0038884509
-
Is a learning classifier system a type of neural network?
-
R.E. Smith H.B. Cribbs III Is a learning classifier system a type of neural network? Evol. Comput. 2 1 1994 13-36
-
(1994)
Evol. Comput.
, vol.2
, Issue.1
, pp. 13-36
-
-
Smith, R.E.1
Cribbs III, H.B.2
-
48
-
-
0025692573
-
Reinforcement learning with classifier systems
-
R.E. Smith, D.E. Goldberg, Reinforcement learning with classifier systems, IEEE International Conference on AI, Simulation and Planning in High Autonomy Systems Proceedings, 1990, pp. 184-192.
-
(1990)
IEEE International Conference on AI, Simulation and Planning in High Autonomy Systems Proceedings
, pp. 184-192
-
-
Smith, R.E.1
Goldberg, D.E.2
-
49
-
-
1842850313
-
Identification of singleton fuzzy models via fuzzy hyper-rectangular composite NN
-
H. Hellendoorn D. Driankov (Eds.), Springer Berlin
-
M.C. Su Identification of singleton fuzzy models via fuzzy hyper-rectangular composite NN in: H. Hellendoorn D. Driankov (Eds.), Fuzzy Model Identification: Selected Approaches 1997 Springer Berlin 193-212
-
(1997)
Fuzzy Model Identification: Selected Approaches
, pp. 193-212
-
-
Su, M.C.1
-
50
-
-
0000542956
-
Neural-network-based fuzzy model and its application to transient stability prediction in power system
-
M.C. Su C.W. Lin S.S. Tsay Neural-network-based fuzzy model and its application to transient stability prediction in power system IEEE Trans. Syst. Man Cybern. 29 1 1999 149-157
-
(1999)
IEEE Trans. Syst. Man Cybern.
, vol.29
, Issue.1
, pp. 149-157
-
-
Su, M.C.1
Lin, C.W.2
Tsay, S.S.3
-
51
-
-
33847202724
-
Learning to predict by the methods of temporal differences
-
R.S. Sutton Learning to predict by the methods of temporal differences Mach. Learn. 3 1988 9-44
-
(1988)
Mach. Learn.
, vol.3
, pp. 9-44
-
-
Sutton, R.S.1
-
53
-
-
0036737109
-
GenSoFNN: A generic self-organizing fuzzy neural network
-
W.T. Tung C. Quek GenSoFNN: A generic self-organizing fuzzy neural network IEEE Trans. Neural Networks 13 5 2002 1075-1086
-
(2002)
IEEE Trans. Neural Networks
, vol.13
, Issue.5
, pp. 1075-1086
-
-
Tung, W.T.1
Quek, C.2
-
55
-
-
0033171998
-
Fuzzy-associative-memory-based knowledge construction with an application to a human-machine interface
-
H. Ushida T. Yamaguchi T. Takagi Fuzzy-associative-memory-based knowledge construction with an application to a human-machine interface IEEE Trans. Ind. Electron. 46 4 1999 851-860
-
(1999)
IEEE Trans. Ind. Electron
, vol.46
, Issue.4
, pp. 851-860
-
-
Ushida, H.1
Yamaguchi, T.2
Takagi, T.3
-
56
-
-
0001418767
-
The fuzzy classifier system: A classifier system for continuous varying variables
-
Morgan Kaufmann, Los Altos, CA
-
M. Valenzuela-Rendon, The fuzzy classifier system: A classifier system for continuous varying variables, Proceedings of the Fourth International Conference on Genetic Algorithms, Morgan Kaufmann, Los Altos, CA, 1991, pp. 346-353.
-
(1991)
Proceedings of the Fourth International Conference on Genetic Algorithms
, pp. 346-353
-
-
Valenzuela-Rendon, M.1
-
57
-
-
0026928374
-
Fuzzy basis functions, universal approximation, and orthogonal least-squares learning
-
L.X. Wang J.M. Mendel Fuzzy basis functions, universal approximation, and orthogonal least-squares learning IEEE Trans. Neural Networks 3 5 1992 807-814
-
(1992)
IEEE Trans. Neural Networks
, vol.3
, Issue.5
, pp. 807-814
-
-
Wang, L.X.1
Mendel, J.M.2
-
58
-
-
0026943536
-
Generating fuzzy rules by learning from examples
-
L.X. Wang J.M. Mendel Generating fuzzy rules by learning from examples IEEE Trans. Syst. Man Cybern. 22 6 1992 1414-1427
-
(1992)
IEEE Trans. Syst. Man Cybern.
, vol.22
, Issue.6
, pp. 1414-1427
-
-
Wang, L.X.1
Mendel, J.M.2
-
61
-
-
3042994191
-
Perceptron redux: Emergence of structure
-
S. Forrest (Ed.) MIT Press, Cambridge, MA, Physica D
-
S.W. Wilson, Perceptron redux: Emergence of structure, in: S. Forrest (Ed.), Emergent Computation, MIT Press, Cambridge, MA, Physica D 42(1-3) (1990) 249-256.
-
(1990)
Emergent Computation
, vol.42
, Issue.1-3
, pp. 249-256
-
-
Wilson, S.W.1
-
62
-
-
0001387704
-
Classifier fitness based on accuracy
-
S.W. Wilson Classifier fitness based on accuracy Evol. Comput. 3 2 1995 147-175
-
(1995)
Evol. Comput.
, vol.3
, Issue.2
, pp. 147-175
-
-
Wilson, S.W.1
-
63
-
-
0042643357
-
Get real! XCS with continuous-valued inputs
-
P.L. Lanzi W. Stolzmann S.W. Wilson (Eds.), Springer Berlin
-
S.W. Wilson Get real! XCS with continuous-valued inputs in: P.L. Lanzi W. Stolzmann S.W. Wilson (Eds.), Learning Classifier Systems: From Foundations to Applications 2000 Springer Berlin 209-220
-
(2000)
Learning Classifier Systems: From Foundations to Applications
, pp. 209-220
-
-
Wilson, S.W.1
-
64
-
-
29444453460
-
A study on skill acquisition in trailer-truck steering problem by reinforcement learning
-
S. Yamashita, T. Horiuchi, S. Kato, A study on skill acquisition in trailer-truck steering problem by reinforcement learning, Proceedings of the 41st SICE Annual Conference, vol. 2, 2002, pp. 810-812.
-
(2002)
Proceedings of the 41st SICE Annual Conference
, vol.2
, pp. 810-812
-
-
Yamashita, S.1
Horiuchi, T.2
Kato, S.3
-
65
-
-
0027844682
-
Genetic and reinforcement-based rule extraction for regulator control
-
R.A.A. Zitar, M.H. Hassoun, Genetic and reinforcement-based rule extraction for regulator control, Proceedings of the 32nd IEEE Conference on Decision and Control, vol. 2, 1993, pp. 1258-1263.
-
(1993)
Proceedings of the 32nd IEEE Conference on Decision and Control
, vol.2
, pp. 1258-1263
-
-
Zitar, R.A.A.1
Hassoun, M.H.2
|