메뉴 건너뛰기




Volumn 4, Issue 9, 2005, Pages 1482-1492

Learning high quality decisions with neural networks in "conscious" software agents

Author keywords

Decision making; Multilayer perceptron; Optimization; Structural learning; Support vector machine

Indexed keywords

DECISION MAKING; FEEDFORWARD NEURAL NETWORKS; LEARNING ALGORITHMS; OPTIMIZATION; RADIAL BASIS FUNCTION NETWORKS; SOFTWARE AGENTS;

EID: 24344433549     PISSN: 11092777     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (5)

References (30)
  • 6
    • 84945803813 scopus 로고
    • "How to Do the Right Thing
    • P. Maes, "How to Do the Right Thing, Connection Science, 1:3, 1990.
    • (1990) Connection Science , vol.1 , Issue.3
    • Maes, P.1
  • 7
    • 0034341610 scopus 로고    scopus 로고
    • A Behavior Instantiation Agent Architecture
    • H. Song and S. Franklin, A Behavior Instantiation Agent Architecture, Connection Science, Vol. 12, pp. 21-44, 2000.
    • (2000) Connection Science , vol.12 , pp. 21-44
    • Song, H.1    Franklin, S.2
  • 9
    • 0005906968 scopus 로고
    • Applications and Implementation - A large-scale personnel assignment model for the Navy
    • Spring
    • T. T. Liang and T. J. Thompson, Applications and Implementation - A large-scale personnel assignment model for the Navy, The Journal For The Decisions Sciences Institute, Volume 18, No. 2 Spring, 1987.
    • (1987) The Journal For The Decisions Sciences Institute , vol.18 , Issue.2
    • Liang, T.T.1    Thompson, T.J.2
  • 10
    • 38249032721 scopus 로고
    • Improving the utilization of training resources through optimal personnel assignment in the U.S. Navy
    • North-Holland
    • T. T. Liang and B. B. Buclatin, Improving the utilization of training resources through optimal personnel assignment in the U.S. Navy, European Journal of Operational Research 33, pp. 183-190, North-Holland, 1988.
    • (1988) European Journal of Operational Research , vol.33 , pp. 183-190
    • Liang, T.T.1    Buclatin, B.B.2
  • 11
    • 0003165311 scopus 로고
    • College Admissions and stability of marriage
    • D. Gale and L. S. Shapley, College Admissions and stability of marriage, The American Mathematical Monthly, Vol 60, No 1, pp. 9-15, 1962.
    • (1962) The American Mathematical Monthly , vol.60 , Issue.1 , pp. 9-15
    • Gale, D.1    Shapley, L.S.2
  • 12
    • 17844380949 scopus 로고    scopus 로고
    • Optimizing Intelligent Agent's Constraint Satisfaction with Neural Networks
    • (A. Abraham, B. Nath, Eds.), in the Series "Studies in Fuzziness and Soft Computing", Springer-Verlag, Heidelberg, Germany
    • A. Kelemen, Y. Liang, R. Kozma, and S. Franklin, Optimizing Intelligent Agent's Constraint Satisfaction with Neural Networks, Innovations in Intelligent Systems (A. Abraham, B. Nath, Eds.), in the Series "Studies in Fuzziness and Soft Computing", Springer-Verlag, Heidelberg, Germany, pp. 255-272, 2002.
    • (2002) Innovations in Intelligent Systems , pp. 255-272
    • Kelemen, A.1    Liang, Y.2    Kozma, R.3    Franklin, S.4
  • 13
    • 17844392887 scopus 로고    scopus 로고
    • Constraint Satisfaction in Conscious Software Software Agents - A Practical Application
    • A. Kelemen, S. Franklin, and Y. Liang, Constraint Satisfaction in Conscious Software Software Agents - A Practical Application, Journal of Applied Artificial Intelligence, Vol. 19: No. 5, pp. 491-514, 2005.
    • (2005) Journal of Applied Artificial Intelligence , vol.19 , Issue.5 , pp. 491-514
    • Kelemen, A.1    Franklin, S.2    Liang, Y.3
  • 15
    • 0031921607 scopus 로고    scopus 로고
    • Feed Forward Neural Networks for the Analysis of Censored Survival Data: A Partial Logistic Regression Approach
    • E. Biganzoli, P. Boracchi, L. Mariani, and E. Marubini, Feed Forward Neural Networks for the Analysis of Censored Survival Data: A Partial Logistic Regression Approach, Statistics in Medicine, 17, pp. 1169-1186, 1998.
    • (1998) Statistics in Medicine , vol.17 , pp. 1169-1186
    • Biganzoli, E.1    Boracchi, P.2    Mariani, L.3    Marubini, E.4
  • 16
    • 0030271244 scopus 로고    scopus 로고
    • On the Accuracy of Mapping by Neural Networks Trained by Backporpagation with Forgetting
    • R. Kozma, M. Sakuma, Y. Yokoyama, and M. Kitamura, On the Accuracy of Mapping by Neural Networks Trained by Backporpagation with Forgetting, Neurocomputing, Vol. 13, No. 2-4, pp. 295-311, 1996.
    • (1996) Neurocomputing , vol.13 , Issue.2 , pp. 295-311
    • Kozma, R.1    Sakuma, M.2    Yokoyama, Y.3    Kitamura, M.4
  • 17
    • 0030130724 scopus 로고    scopus 로고
    • Structural learning with forgetting
    • M. Ishikawa, Structural learning with forgetting, Neural Networks, Vol. 9, pp. 509-521, 1996.
    • (1996) Neural Networks , vol.9 , pp. 509-521
    • Ishikawa, M.1
  • 19
    • 0001219859 scopus 로고
    • Regularization theory and neural networks architectures
    • F. Girosi, M. Jones, and T. Poggio, Regularization theory and neural networks architectures, Neural Computation, 7:219-269, 1995.
    • (1995) Neural Computation , vol.7 , pp. 219-269
    • Girosi, F.1    Jones, M.2    Poggio, T.3
  • 22
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • H. Akaike, A new look at the statistical model identification, IEEE Trans. Automatic Control, Vol. 19, No. 6, pp. 716-723, 1974.
    • (1974) IEEE Trans. Automatic Control , vol.19 , Issue.6 , pp. 716-723
    • Akaike, H.1
  • 23
    • 0018015137 scopus 로고
    • Modeling by shortest data description
    • J. Rissanen, Modeling by shortest data description, Automat., Vol. 14, pp. 465-471, 1978.
    • (1978) Automat. , vol.14 , pp. 465-471
    • Rissanen, J.1
  • 24
    • 34249753618 scopus 로고
    • Support vector machines
    • C. Cortes and V. Vapnik, Support vector machines, Machine Learning, 20, pp. 273-297, 1995.
    • (1995) Machine Learning , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 25
    • 0003798635 scopus 로고    scopus 로고
    • An Introduction to Support Vector Machines (and other kernel-based learning methods)
    • Cambridge University Press
    • N. Cristianini and J. Shawe-Taylor, An Introduction to Support Vector Machines (and other kernel-based learning methods)}, Cambridge University Press, 2000.
    • (2000)
    • Cristianini, N.1    Shawe-Taylor, J.2
  • 26
    • 0031272926 scopus 로고    scopus 로고
    • Comparing support vector machines with Gaussian kernels to radial basis function classifiers
    • AI Memo No. 1599, MIT, Cambridge
    • B. Scholkopf, K. Sung, C. Burges, F. Girosi, P. Niyogi, T. Poggio, and V. Vapnik, Comparing support vector machines with Gaussian kernels to radial basis function classifiers, IEEE Trans. Sign. Processing, 45:2758 - 2765, AI Memo No. 1599, MIT, Cambridge, 1997.
    • (1997) IEEE Trans. Sign. Processing , vol.45 , pp. 2758-2765
    • Scholkopf, B.1    Sung, K.2    Burges, C.3    Girosi, F.4    Niyogi, P.5    Poggio, T.6    Vapnik, V.7
  • 29
    • 0000759079 scopus 로고
    • The Adatron: An adaptive perceptron algorithm
    • J. K. Anlauf and M. Biehl, The Adatron: an adaptive perceptron algorithm, Europhysics Letters, 10(7), pp. 687--692, 1989.
    • (1989) Europhysics Letters , vol.10 , Issue.7 , pp. 687-692
    • Anlauf, J.K.1    Biehl, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.