Richard K. Belew


Cognitive Science Department
University of California - San Diego
La Jolla, CA 92093

rik AT cogsci DOT ucsd DOT edu

References

Complete C.V. (PDF, 15 Sept 06)

2000 1999 '98 '97 '96 '95 1994 <= '93
Citations listed in reverse chronological order,
and (alas, for now) reverse alphabetic within year


2000

00.1
F. Menczer and R. K. Belew.
Adaptive retrieval agents: Internalizing local context and scaling up to the web.
Machine Learning, 29(2/3), 2000.
( Abstract) ( Postscript).

00.2
R. K. Belew.
Finding Out About: A cognitive perspective on search engine technology and the WWW.
Cambridge Univ. Press, 2000.
FOA Web Page

1999

99.1
C.D. Rosin, R.K. Belew, G.M. Morris, A.J. Olson, and D.S. Goodsell.
Coevolutionary analysis of resistance-evading HIV-1 protease inhibitors.
Proc. Natl. Acad. Sci., USA 96:1369-1374, 1999.

99.2
C. Mautner and R. K. Belew.
Coupling morphology and control in an simulated robot.
In D. Goldberg, editor, Genetic & Evolutionary Computation Conference (GECCO99), 1999.
( Abstract) (PDF). (Compressed Postscript).

99.3
C. Mautner and R. K. Belew.
Evolving robot morphology and control.
In K. Aihara, editor, Proceedings of the Artificial Life and Robotics Conference (AROB99), 1999.
( Abstract) (PDF). (Compressed Postscript).

1998

1
C.D. Rosin, R.K. Belew, G.M. Morris, A.J. Olson, and D.S. Goodsell.
Computational coevolution of antiviral drug resistance.
In C. Adami, R.K. Belew, H. Kitano, and C.E. Taylor, editors, Proceedings of The Sixth International Conference on Artificial Life, pages81-90. MIT Press, 1998.

2
C.D. Rosin, R.K. Belew, G.M. Morris, A.J. Olson, and D.S. Goodsell.
Computational coevolution of antiviral drug resistance.
Artificial Life, 4:41-59, 1998.
(Abstract) (Postscript) .

3
G. M. Morris, D. S. Goodsell, R.S. Halliday, R. Huey, W. E. Hart, R. K. Belew,and A. J. Olson.
Automated docking using a lamarckian genetic algorithm and andempirical binding free energy function.
J. Computational Chemistry, 19(14):1639-1662, 1998.
(Abstract) .

4
F. Menczer and R. K. Belew.
Adaptive retrieval agents: Internalizing local context and scaling upto the web.
Technical Report CS98-579, University of California, San Diego,1998.
(Abstract) (Postscript) .

5
F. Menczer and R. K. Belew.
Adaptive information agents in distributed textual environments.
In Proc. 2nd International Conference on Autonomous Agents,Minneapolis, MN, 1998.
(Abstract) (Postscript) .

6
F. Menczer.
Life-like agents : internalizing local cues for reinforcementlearning and evolution.
PhD thesis, Computer Science & Engr. Dept. - Univ. Calif. San Diego,1998.
(HTML) (PDF1.4M) .

7
M. Land.
Evolutionary Algorithms with Local Search for CombinatorialOptimization.
PhD thesis, Computer Science & Engr. Dept. - Univ. Calif. San Diego,1998.
(Postscript, gzipped)

8
T. Kammeyer.
Evolving stochastic grammars.
PhD thesis, Computer Science & Engr. Dept. - Univ. Calif. San Diego,1998.

9
Brian T. Bartell, Garrison W. Cottrell, and Richard K. Belew.
Optimizing similarity using relveance feedback.
Journal of the American Society for Information Science,49(8):742-761, 1998.
(Abstract) (Postscript) .

10
C. Adami, R.K. Belew, H. Kitano, and C.E. Taylor, editors.
Proceedings of The Sixth International Conference on ArtificialLife. MIT Press, 1998.
(HTML) .

1997

11
C.D. Rosin, R.S. Halliday, W.E. Hart, and R.K Belew.
A comparison of global and local search methods in drug docking.
In T. Baeck, editor, Proceedings of the Seventh InternationalConference on Genetic Algorithms (ICGA97), San Francisco, CA, 1997. MorganKaufmann.
(Abstract) (Postscript) .

12
C. D. Rosin and R. K. Belew.
New methods for competitive evolution.
Evolutionary Computation, 5(1), Spring 1997.
(Abstract) (Postscript) .

13
C. D. Rosin.
Coevolutionary search among adversaries.
PhD thesis, Computer Science & Engr. Dept. - Univ. Calif. San Diego,1997.
(Postscript, gzipped)

14
M. Land, John J. SIDorowich, and R.K. Belew.
Thin film metrology using genetic algorithms and local search.
In T. Baeck, editor, Proceedings of the Seventh InternationalConference on Genetic Algorithms (ICGA97), San Francisco, CA, 1997. MorganKaufmann.
(Abstract) (Postscript) .

15
T. Kammeyer and R. K. Belew.
Stochastic context-free grammar induction with a genetic algorithmusing local search.
In R. K. Belew and M. Vose, editors, Foundations of GeneticAlgorithms IV. Morgan Kaufman, 1997.

16
R. K. Belew and M. Vose.
Foundations of Genetic Algorithms IV.
Morgan Kaufman, 1997.
(HTML) .

1996

17
C.C. Vogt, G.W. Cottrell, R.K. Belew, and B.T. Bartell.
Using relevance to train a linear mixture of experts.
In D. Harman, editor, The Fifth Text REtrieval Conference,Gaitherberg, MD, 1996.
(Abstract) (Postscript) .

18
C. Rosin and R. K. Belew.
A competitive approach to game learning.
In A. Blum and M. Kearns, editors, Proc. 9th Annual ACM Workshopon Computational Learning Theory, pages 292-302. ACM, 1996.
(Abstract) (Postscript) .

19
M. Mitchell and R. K. Belew.
Preface to 'How learning guides evolution' by G. E. Hinton & S. J.Nowlan.
In Adaptive Individuals in Evolving Populations: Models andAlgorithms, volume XXVI of Santa Fe Institute Studies in the Science ofComplexity, pages 443-446. Addison-Wesley, 1996.

20
O. Miglino and R. K. Belew.
Preface to 'Adaptation and intelligence: Organic selection andphenocopy' by J. Piaget.
In Adaptive Individuals in Evolving Populations: Models andAlgorithms, volume XXVI of Santa Fe Institute Studies in the Science ofComplexity, pages 291-293. Addison-Wesley, 1996.

21
F. Menczer and R. K. Belew.
Latent energy environments.
In Adaptive Individuals in Evolving Populations: Models andAlgorithms, volume XXVI of Santa Fe Institute Studies in the Science ofComplexity, chapter 14, pages 191-208. Addison-Wesley, 1996.

22
F. Menczer and R. K. Belew.
From complex environments to complex behaviors.
Adaptive Behavior, 4(3-4), 1996.
(Abstract) (Postscript) .

23
William E. Hart, Scott Baden, Richard K. Belew, and Scott Kohn.
Analysis of the numerical effects of parallelism on a parallelgenetic algorithm.
In Proc. of 10th Intl Parallel Processing Symp, pages 606-612,1996.
(Abstract) (Postscript) .

24
W. E. Hart and R. K. Belew.
Optimization with genetic algorithm hybrids that use local search.
In Adaptive Individuals in Evolving Populations: Models andAlgorithms, volume XXVI of Santa Fe Institute Studies in the Science ofComplexity, chapter 27, pages 483-496. Addison-Wesley, 1996.

25
F. Cecconi, F. Menczer, and R. K. Belew.
Maturation and the evolution of imitative learning in artificialorganisms.
Adaptive Behavior, 4(1):27-48, 1996.
(Abstract) (Postscript) .

26
R. K. Belew, M. Mitchell, and D. H. Ackley.
Computation and the natural sciences.
In Adaptive Individuals in Evolving Populations: Models andAlgorithms, volume XXVI of Santa Fe Institute Studies in the Science ofComplexity, chapter 24, pages 431-440. Addison-Wesley, 1996.

27
R. K. Belew and M. Mitchell.
Introduction.
In Adaptive Individuals in Evolving Populations: Models andAlgorithms, volume XXVI of Santa Fe Institute Studies in the Science ofComplexity, chapter 1, pages 1-22. Addison-Wesley, 1996.
HTML .

28
R. K. Belew and M. Mitchell.
Adaptive Individuals in Evolving Populations: Models andAlgorithms, volume XXVI of Santa Fe Institute Studies in the Science ofComplexity.
Addison-Wesley, 1996.
HTML .

29
R. K. Belew and J. Hatton.
RAVE Reviews: Acquiring relevance assessments from multiple users.
In M. Hearst and H. Hirsh, editors, Machine Learning inInformation Access. AAAI Spring Symposia, 1996.
(Abstract) (Postscript) .

30
R. K. Belew.
Preface to 'A Model of Individual Adaptive Behavior in a FluctuatingEnvironment' by L. A. Zhivotovsky et al.
In Adaptive Individuals in Evolving Populations: Models andAlgorithms, volume XXVI of Santa Fe Institute Studies in the Science ofComplexity, pages 127-129. Addison-Wesley, 1996.

31
R. K. Belew.
Developments across the internalist/externalist dichotomy: Commentaryon peter godfrey-smith's complexity and the function of mind in nature.
Adaptive Behavior, 4(3-4), 1996.

1995

32
C. Rosin and R. K. Belew.
Methods for competitive co-evolution: Finding opponents worthbeating.
In L. Eschelman, editor, Proc. Sixth Intl. Conf. on GeneticAlgorithms (ICGA-95), San Mateo, CA, 1995. Morgan Kaufmann.
(Abstract) (Postscript) .

33
F. Menczer, R. K. Belew, and W. Willuhn.
Artificial life applied to adaptive information agents.
In C. Knowblock, A. Levy, S-S. Chen, and G. Wiederhold, editors, AAAI Spring Symposium Series: Information gathering from heterogeneous,distributed environments. AAAI, 1995.
(Abstract) (Postscript) .

34
M. W. S. Land and R. K. Belew.
Towards a self-replicating language for computation.
In D. Fogel, editor, Proc. Conf. Evolutionary Programming,1995.

35
M. Land and R. K. Belew.
No perfect two-state cellular automata for density classificationexists.
Physical Review Letters, 74(25):5148-5150, 19 June 1995.
(Abstract) (Postscript) .

36
T. Kammeyer, R. K. Belew, and S. Gill Williamson.
Evolving compare-exchange networks using grammars.
Artificial Life, 2(2):199-237, 1995.
(Abstract) (Postscript) .

37
J. Hatton and R. K. Belew.
RAVE Reviews: An assessment methodology for evaluating consentualrelevance.
Technical Report CSE9506, Computer Science & Engr. Dept., UC SanDiego, La Jolla, CA 92093-0114, 1995.

38
B. Bartell, G.W. Cottrell, and R. K. Belew.
Learning to retrieve information.
In Proceedings of the Second Swedish Conference onConnectionism, Skovde, Sweden, March 1995.

1994

39
A. M. Steier and R. K. Belew.
Talking about AI: Socially-defined linguistic subcontexts in AI.
In Proc. N-th Amer. Assoc. for Artifical Intelligence, pages715-720, 1994.
(Abstract) (Postscript) .

40
A. M. Steier and R. K. Belew.
Exporting phrases: A statistical analysis of topical language.
In R. Casey and B. Croft, editors, 2d Symposium on DocumentAnalysis and Information Retrieval, 1994.
(Abstract) (Postscript) .

41
A. M. Steier.
Statistical semantics of phrases in hierarchical contexts.
PhD thesis, Computer Science & Engr. Dept. - Univ. Calif. San Diego,1994.

42
D. E. Rose.
A symbolic and connectionist approach to legal informationretrieval.
Lawrence Erlbaum, Hillsdale, NJ, 1994.

43
F. Menczer, W. Willuhn, and R. K. Belew.
An endogenous fitness paradigm for adaptive information agents.
In Proc. Third International Conference on Information andKnowledge Management (CIKM'94) - Workshop on Intelligent InformationAgents., NIST, Gaithersburg, MD, December 1994.
HTML .

44
F. Menczer and R. K. Belew.
Evolving sensors in environments of controlled complexity.
In R. Brooks, editor, Proc. Fourth Conf. on Artificial Life,1994.
(Abstract) (Postscript) .

45
L. Krubitzer and R. K. Belew et al.
How do behavior and evolution interact?
In Flexibility and constraint in behavioral systems. J. Wiley,New York, 1994.

46
T. E. Kammeyer and R. K. Belew.
Using the GA to find a novel sorting network.
In Proc. Amer. Assoc. for Artifical Intelligence, 1994.
(Abstract) (Postscript) .

47
W. E. Hart, T. E. Kammeyer, and R. K. Belew.
The role of development in genetic algorithms.
In D. Whitley and M. Vose, editors, Foundations of GeneticAlgorithms III. Morgan Kauffman, 1994.
(Abstract) (Postscript) .

48
W. E. Hart.
Adaptive global optimization with local search.
PhD thesis, Computer Science & Engr. Dept. - Univ. Calif. San Diego,1994.
(Postscript) .

49
B. T. Bartell, G. W. Cottrell, and R. K. Belew.
Learning the optimal parameters in a ranked retrieval system usingmulti-query relevance feedback.
In Proceedings of the Symposium on Document Analysis andInformation Retrieval, Las Vegas, 1994.
(Abstract) (Postscript) .

50
B. T. Bartell, G. W. Cottrell, and R. K. Belew.
Automatic combination of multiple ranked retrieval systems.
In Proceedings of SIGIR, Dublin, 1994.
(Abstract) (Postscript) .

1993 and before

51
F. Menczer and R. K. Belew.
Latent Energy Environments: A tool for artificial life simulations.
Technical Report CS93-301, Computer Science & Engr. Dept., UC SanDiego, La Jolla, CA 92093-0114, 1993.

52
R. K. Belew and T. E. Kammeyer.
Evolving aesthetic sorting networks using developmental grammars.
In S. Forrest, editor, Proc. Fifth Intl. Conf. on GeneticAlgorithms (ICGA-93), page 629, San Mateo, CA, 1993. Morgan Kaufmann.
(Abstract) (Postscript) .

53
R. K. Belew.
Something old, something new, something borrowed, ... (Book reviewof Neuroscience & Connectionist Theory).
Artificial Intelligence, 1993.

54
R. K. Belew.
Interposing an ontogenic model between Genetic Algorithms and NeuralNetworks.
In J. Cowan, editor, Advances in Neural Information Processing(NIPS5), San Mateo, CA, 1993. Morgan Kaufmann.

55
R. K. Belew.
Un ruolo per la scienza dei calcolatori nella vita artificiale (Arole for Computer Science in Artificial Life).
Sistemi Intelligenti, 4(2):1-9, Agosto 1992.
(Abstract) (Postscript) .

56
B. T. Bartell, G. W. Cottrell, and R. K. Belew.
Latent Semantic Indexing is an optimal special case ofmultidimenional scaling.
In N. Belkin, editor, Proc. SIGIR-92, New York, 1992. ACMPress.
(Abstract) (Postscript) .

57
A. E. Wilson, J. Hendler, and R. K. Belew.
CONNCERT: For the development and use of connectionist modules.
In D. E. Rumelhart, editor, Intl. Joint Conf. on NeuralNetworks, 1991.

58
N. N. Schraudolph and R. K. Belew.
Dynamic parameter encoding for Genetic Algorithms.
Machine Learning, 9:9-21, 1991.
(Abstract) (Postscript) .

59
D.E. Rose and R.K. Belew.
A connectionist and symbolic hybrid for improving legal research.
Intl. J. Man-Machine Studies, 35(1):1-33, July 1991.

60
W. E. Hart and R. K. Belew.
Optimizing an arbitrary function is hard for Genetic Algorithms.
In R. K. Belew and L. B. Booker, editors, Proc. Fourth Intl.Conf. on Genetic Algorithms, pages 190-195, Los Altos, CA, 1991.Morgan-Kaufman.
(Abstract) (Postscript) .

61
R.K. Belew.
Artificial life: A constructive lower bound for ArtificialIntelligence.
IEEE Expert, 6(1):8-15, February 1991.

62
R. K. Belew, J. McInerney, and N. N. Schraudolph.
Evolving networks: Using the Genetic Algorithm with connectionistlearning.
In Proc. Second Artificial Life Conference, pages 511-547, NewYork, 1991. Addison-Wesley.
(Abstract) (Postscript) .

63
R. K. Belew and L. B. Booker, editors.
Proc. Fourth Intl. Conf. on Genetic Algorithms, San Mateo, CA,1991. Morgan Kaufman.

64
R. K. Belew.
ALife-2: The Second Artificial Life Conference.
IEEE Expert, 6(1):53-59, February 1991.

65
D.E. Rose and R.K. Belew.
Toward a direct-manipulation interface for conceptual informationretrieval.
In M. Dillon, editor, Interfaces in Information Retrieval.Greenwood Press, Westport, CT, 1990.

66
J.R. Chen, R.K. Belew, and G.B. Salomon.
A connectionist network for color selection.
In Proc. Intl. Conf. on Neural Networks, 1990.

67
R.K. Belew.
Text-based intelligence is cheaper, richer and practical.
In Text-based Intelligent Systems - AAAI-90 Spring Symposium,pages 20-24, March 1990.

68
R. K. Belew and J. Rentzepis.
HyperMail: Treating Electronic Mail as Literature.
ACM SIGUCCS Newsletter, 20(4), Winter 1990.
(reprint of Proc. COIS paper).

69
R. K. Belew and J. Rentzepis.
HyperMail: Treating Electronic Mail as Literature.
In Proc. Conf. on Office Information Systems. Assoc. ComputingMachinery, Cambridge, MA, April 1990.
(7 pages).

70
R. K. Belew.
Evolution, learning and culture: computational metaphors for adaptivesearch.
Complex Systems, 4(1):11-49, 1990.

71
D.E. Rose and R.K. Belew.
Legal information retrieval: a hybrid approach.
In Second Intl. Conf. on AI and the Law, 1989.

72
D.E. Rose and R.K. Belew.
A case for symbolic/sub-symbolic hybrids.
In Proc. Cognitive Science Society, pages 844-851, 1989.

73
R.K. Belew and M. Gherrity.
Back propagation for the classifier system.
In Proc. Third. Intl. Conf. on Genetic Algorithms, pages275-281, Washington D.C., June 1989.

74
R.K. Belew.
When both individuals and populations search: Adding simplelearning to the Genetic Algorithm.
In Proc. Third. Intl. Conf. on Genetic Algorithms, pages34-41, Washington D.C., June 1989.

75
R.K. Belew.
Adaptive information retrieval: Using a connectionistrepresentation to retrieve and learn about documents.
In Proc. SIGIR 1989, pages 11-20, Cambridge, MA, June 1989.

76
R.K. Belew and M.P. Holland.
BIBLIO: A computer system designed to support the near-library userof information retrieval.
Microcomputers for Info. Mgmt., 5(3):147-167, December 1988.

77
R.K. Belew and S. Forrest.
Learning and programming in the classifier system.
Machine Learning, 3(2), 1988.

78
R.K. Belew.
Two constructive themes: Commentary on Smolensky's `On theproper treatment of connectionism'.
Behavioral and Brain Sciences, 11(1):25, March 1988.

79
R.K. Belew.
Hypertext as knowledge representation.
In Proc. AAAI-88 Workshop on AI and Hypertext, pages 20-24,1988.

80
R.K. Belew.
Designing appropriate learning rules for connectionist systems.
In Proc. IEEE Intl. Conf. on Neural Networks, June 1987.

81
R.K. Belew.
A connectionist approach to conceptual information retrieval.
In Proc. First Intl. Conf. on AI and Law, pages 116-126. ACMPress, 1987.

82
R.K. Belew.
Adaptive information retrieval: machine learning in associativenetworks.
PhD thesis, Univ. Michigan, CS Department, Ann Arbor, MI, 1986.

83
M. Gordon, R.K. Belew, M. Kochen, and R. Lindsay.
Managing computerized conferences.
In Proc. National Online Meeting, 1985.

84
R.K. Belew.
Evolutionary decision support systems: an architecture based oninformation structure.
In L. B. Methlie and R. H. Sprague, editors, KnowledgeRepresentation for Decision Support Systems, pages 147-160. North-Holland,Amsterdam, 1985.



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Last updated 1 Dec 98 by rik@cs.ucsd.edu