References

1

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

2

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

3

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)

4

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

5

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

6

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

8

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

9

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

10

R. K. Belew. Something old, something new, something borrowed, ... (Book review of Neuroscience &Connectionist Theory). Artificial Intelligence, 62(1):153-161, July 1993.

11

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

12

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

13

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

14

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

15

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

16

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

17

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

18

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

19

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

20

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

21

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

22

R.K. Belew. When both individuals and populations search: Adding simple learning to the Genetic Algorithm. In Proc. Third. Intl. Conf. on Genetic Algorithms, pages 34-41, Washington D.C., June 1989.

23

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.

24

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

25

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

26

R.K. Belew and M. Gherrity. Back propagation for the classifier system. In Proc. Third. Intl. Conf. on Genetic Algorithms, pages 275-281, Washington D.C., June 1989.

27

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

28

R.K. Belew and E.L. Hutchins. Academic Institutional Memory: Analyzing the electronic artifacts of scientific culture. NSF Grant Proposal, November 1988.

29

F. Cecconi, F. Menczer, and R. K. Belew. Maturation and the evolution of imitative learning in artificial organisms. Adaptive Behavior 4:1 1996. (in press)
(Previously Tech. Report #CSE506, Computer Science &Engr. Dept., UC San Diego, La Jolla, CA 92093-0114, 1995.) (Abstract) (Postscript)

30

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

32

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

33

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

34

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)

35

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 Genetic Algorithms III. Morgan Kauffman, 1994. (Abstract) (Postscript)

36

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

37a

M. W. S. Land and R. K. Belew. No two-state cellular automata for density classification exists Technical Report CS93-396, Computer Science &Engr. Dept., UC San Diego, La Jolla, CA 92093-0114, 1994. (Abstract) (Postscript)

37

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

38

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

39

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)

40

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)

41

F. Menczer, W. Willuhn, and R. K. Belew. An endogenous fitness paradigm for adaptive information agents. In Proc. Third International Conference on Information and Knowledge Management (CIKM'94) - Workshop on Intelligent Information Agents., NIST, Gaithersburg, MD, 1994. http://www.cs.umbc.edu/ cikm/1994/iia/.

42

D. E. Rose. A symbolic and connectionist approach to legal information retrieval. PhD thesis, Univ. California - San Diego; Computer Science and Cognitive Science, 1991.

43

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

44

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

45

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

46

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

47

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.

48

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

49

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 Document Analysis and Information Retrieval, pages 179-190, 1993. (Abstract) (Postscript)

50

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, pages 715-720, 1994. (Abstract) (Postscript)

51

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 Neural Networks, 1991.