AAAS Board Resolution Urges Opposition to "Intelligent Design" Theory in U.S. Science Classes

AAAS ^ | November 6, 2002 | Ginger Pinholster

[Nebullis]

The AAAS Board recently passed a resolution urging policymakers to oppose teaching "Intelligent Design Theory" within science classrooms, but rather, to keep it separate, in the same way that creationism and other religious teachings are currently handled.

"The United States has promised that no child will be left behind in the classroom," said Alan I. Leshner, CEO and executive publisher for AAAS. "If intelligent design theory is presented within science courses as factually based, it is likely to confuse American schoolchildren and to undermine the integrity of U.S. science education."

American society supports and encourages a broad range of viewpoints, Leshner noted. While this diversity enriches the educational experience for students, he added, science-based information and conceptual belief systems should not be presented together.

Peter H. Raven, chairman of the AAAS Board of Directors, agreed:

"The ID movement argues that random mutation in nature and natural selection can't explain the diversity of life forms or their complexity and that these things may be explained only by an extra-natural intelligent agent," said Raven, Director of the Missouri Botanical Garden. "This is an interesting philosophical or theological concept, and some people have strong feelings about it. Unfortunately, it's being put forth as a scientifically based alternative to the theory of biological evolution. Intelligent design theory has so far not been supported by peer-reviewed, published evidence."

In contrast, the theory of biological evolution is well-supported, and not a "disputed view" within the scientific community, as some ID proponents have suggested, for example, through "disclaimer" stickers affixed to textbooks in Cobb County, Georgia.

"The contemporary theory of biological evolution is one of the most robust products of scientific inquiry," the AAAS Board of Directors wrote in a resolution released today. "AAAS urges citizens across the nation to oppose the establishment of policies that would permit the teaching of `intelligent design theory' as a part of the science curriculum of the public schools."

The AAAS Board resolved to oppose claims that intelligent design theory is scientifically based, in response to a number of recent ID-related threats to public science education.

In Georgia, for example, the Cobb County District School Board decided in March this year to affix stickers to science textbooks, telling students that "evolution is a theory, not a fact, regarding the origin of living things." Following a lawsuit filed August 21 by the American Civil Liberties Union of Georgia, the school board on September 26 modified its policy statement, but again described evolution as a "disputed view" that must be "balanced" in the classroom, taking into account other family teachings. The exact impact of the amended school board policy in Cobb County classrooms remains unclear.

A similar challenge is underway in Ohio, where the state's education board on October 14 passed a unanimous, though preliminary vote to keep ID theory out of the state's science classrooms. But, their ruling left the door open for local school districts to present ID theory together with science, and suggested that scientists should "continue to investigate and critically analyze aspects of evolutionary theory." In fact, even while the state-level debate continued, the Patrick Henry Local School District, based in Columbus, passed a motion this June to support "the idea of intelligent design being included as appropriate in classroom discussions in addition to other scientific theories."

The Ohio State Education Board is inviting further public comment through November. In December, board members will vote to conclusively determine whether alternatives to evolution should be included in new guidelines that spell out what students need to know about science at different grade levels. Meanwhile, ID theorists have reportedly been active in Missouri, Kansas, New Mexico, New Jersey, and other states, as well Ohio and Georgia.

While asking policymakers to oppose the teaching of ID theory within science classes, the AAAS also called on its 272 affiliated societies, its members, and the public to promote fact-based, standards-based science education for American schoolchildren.

[js1138]

There was conscious analysis of data and a (hopefully!) intelligent decision to make the rate cut they did. See the first comment in your post for the correct analysis of the free market. Basically the market is being guided by intelligence to achieve a certain result in the economy that is anything but random.

Your belief in "intelligent guidance" is touching, but the steering provided by the Fed is about as effective as the steering wheels at the Disneyland Autopia. The market is not random. It's behavior is governed by variation and selection. It's behavior is not predictible, except that over ten year periods it usually goes up.

[js1138]

Light bulbs, for example.

[betty boop]

"Give me a theory based on evidence I can see, and reasoning I can follow, and I will consider it science. If you give me only your unsupported conjectures, based on your feelings, that's fine, and I may even share your views; but we both know it's not science."

Hi PH! This statement is eminently sensible, and I don't disagree with it. But again, a qualification: Human beings don't "see" everything -- on a physical-visual basis. There are eminently reasonable things that cannot be detected by the eye. To the extent that science suggests that only what fits its method is "real," and everything else either positively unreal or unimportant, then to my way of thinking, we have a very serious overreach of a particular conceptual framework. Capice, amici?

[Alamo-Girl]

Thank you for your reply!

I was interested in your understanding of Intelligent Design.

I take it that you see Intelligent Design as a comprehensive replacement theory for evolution --- rather than a targeted, rebuttal explanation for the anomalous observation of design in nature.

[betty boop]

IDism is not a challenge to macroevolution. Instead, it is a challenge to the nature of science.

This may be so, Nebullis. Yet the point that seems obvious to me, however, is that there is no possible way for both macroevolution and "IDism" to be true. Conceptually, it's a case of either species arise entirely by means of spontanteous, random generation; or that species have a given nature that makes them what they are -- at least in their essentials, which are subject to natural modification over time. In that sense, clearly "IDism" is a challenge to macroevolution.

[Alamo-Girl]

Exactly! Thank you for the heads up!

IMHO, hostile resistance to inquiry is prima facie cause for inquiry – no matter the subject: evolution, campaign finance, product specifications, etc.

[Right Wing Professor]

Circular reasoning

Not circular at all. The fact they aren't accepted by the mainstream of science means they are fringe. You can argue all day why they aren't accepted; but that doesn't change the fact.

The editorial boards on these peer-reviewed journals don't even consider accepting ID papers and then make the argument that because there are no papers on ID in the "regular scientific literature" that the science is not legitimate.

You can of course document this by posting copies of editorial decisions making such statements. Can't you?

[Right Wing Professor]

IMHO, hostile resistance to inquiry is prima facie cause for inquiry

Go ahead and inquire. Keep us posted on your research results. Just don't confuse research with rhetoric. We get lots of rhetoric from IDers. I've yet to see one single piece of research.

[BMCDA]

Thanks for the ping! ;)

Placemarker

[Junior]

You're presenting third-hand information without attribution. Might it not be possible the researchers who submitted the papers had done shoddy work on those papers? That's more often than not the reason why papers are rejected.

[Right Wing Professor]

There are over 600 ID/creationist scientists listed at ICR, with legitimate PhDs' in scientific disciplines. That are not religious quacks...

Actually, the vast maority of listees have no significant body of published scientific research. I'd wager a random sampling of PhD.s would be signficantly more productive.

[Gargantua]

Truth be told, it is the Darwinists who accept on faith alone the unsupported suppositions of Evolution, when all evidence points to Intelligent Design... right down to the way that everything found in the Natural World eventually relies upon every other thing for its own function.

Random Selection (if it were true) would have eventually resulted in the evolution of random, un-connected forms, yet none exist.

As the assumptions relied upon in the Theory of Evolution are dealt one scientific blow after another, those who understand what a stumbling block our self-important "intelligence" can become continue to live in, and appreciate, an entire world which was perfectly designed by God, the Creator who endowed us all with Inalienable Rights.

For any puffed-up poppinjay to claim that unsupported belief systems such as Evolution should be taught in place of Creation is the result of way too many decades of liberal secular academia left unchecked.

[Gargantua]

"...the vast maority of listees have no significant body of published scientific research."

Proving only the phobic stranglehold on scientific publishing as controlled by the otherwise endangered academic Darwinist weenies.

[Gargantua]

So instead, you buy the slanted claptrap pushed by ASS.ORG? How very free-thinking and original.

Bad monkey.

[Right Wing Professor]

Proving only the phobic stranglehold on scientific publishing as controlled by the otherwise endangered academic Darwinist weenies.

Oh yeah. So you list them to show how many good scientists are creationists. Then when it's pointed out that in fact they're a rather mediocre lot, you say that just goes to show how many good creationist scientists are persecuted by the evil scientific establishment so they look mediocre. Petitio praecipi, I think they call it.

Gish's scientific career focussed on protein chemistry. You can publish out that wazoo in that field without referrring to the origin of life. He didn't publish out the wazoo; he had 30 or so papers over a 20 year period, which ain't going to put you on the road to Stockholm. Most of the others never have to refer to creation or evolution in their fields. Find another excuse.

And while you're at it, show me one example of a paper that was rejected solely because it takes a creationist stance. Full details, including the verbatim editorial decision, please. I don't dispute it might happen, but I sure won't take it on faith.

[steve-b]

You left out, "Dilute! Dilute! OK!"

[AndrewC]

Publications

Contributions to Refereed Journals

1. Chiu, D.K.Y. and T. Liu, "Consigned patterns for biomolecular analysis," Intern. J. of Fuzzy Systems, Special Issue on Intelligent Computation for Data Mining and Knowledge Discovery, to appear.
2. Chiu, D.K.Y., "Book Review: Pattern Classification,"  Intern. J. of Computational Intelligence and Applications, Vol.1, No.3 (2001) 335-339.
3. Wong, A.K.C., D.K.Y. Chiu, W. Huang, "A discrete-valued clustering algorithm with applications to biomolecular sequences,"  Information Science, 139 (2001) 97-112.
4. Chiu, D.K.Y. , "Discovering knowledge from statistical patterns in biomolecules," Recent Research Developments in Pattern Recognition, B. Chandrasekaran, M.D. Levine, C.H. Chan (eds.), Recent Research Development Series, Transworld Research Network Publ., 1 (2000): 283-300.
5. Sekita, I., T. Kurita, D.K.Y. Chiu and H. Asoh, "Reconfigurating feedforward networks with fewer hidden nodes," Selected SPIE Papers on CD-ROM, Vol.6, Automatic Target Recognition, (ed.) Firooz A. Sadjadi, Dec. 1999, SPIE.
6. Wong, A.K.C., S.C. Chan and D.K.Y. Chiu, "Pattern detection in biomolecules using synthesized random sequence," Pattern Recognition, vol.29, no.9, pp.1581-1586, 1996.
7. Chan, K.C.C., A.K.C. Wong and D.K.Y. Chiu, "Learning sequential patterns for. probabilistic inductive prediction", IEEE Trans. on Systems, Man and Cybernetics, Vol. 24, No. 10, pp.1532-1547, Oct. 1994.
8. Harauz, G., D.K.Y. Chiu, C. MacAulay, B. Palcic, "Probabilistic inference in computer-aided screening for cervical cancer: An event-covering approach to optimal information extraction and decision rule formulation", Analytical Cellular Pathology, 6, 37-50, 1994.
9. Sekita, I., T. Kurita, D.K.Y. Chiu and H. Asoh, "A method to reduce redundant hidden nodes", IEICE Trans. on Information and Systems, vol.- D, no. 4, pp.443-449, April 1994.
10. Chiu, D.K.Y., G., N.S. Greenspan and K.H. Roux, "Structured object representation of biomolecular images for two-dimensional shape discrimination via feedforward networks", J. of Computer-Assisted Microscopy, vol. 6, no. 3, pp.139-147, 1994.
11. Harauz, G. and D.K.Y. Chiu, "Complementary application of correspondence analysis and event-covering of noisy image sequence", Optik, 94, no. 2, pp.1-8, 1993.
12. Shen, H.C., C. Bie, D.K.Y. Chiu, "A texture-based distance measure for classification", Pattern Recognition, vol. 26, no. 9, pp. 1429-1437, 1993.
13. Chan, S.C., A.K.C. Wong and D.K.Y. Chiu, "A multiple sequence comparison method", Bulletin of Mathematical Biology, vol. 55, no. 2, pp.465-486, 1993.
14. Bie, C., H. Shen and D.K.Y. Chiu, "Hierarchical maximum entropy partitioning in texture image analysis", Pattern Recognition Letter, 14, 421-429, 1993.
15. Chiu, D.K.Y. and G. Harauz, "A method for inferring probabilistic consensus structure with application to molecular sequence data", Pattern Recognition, vol.26, no. 4, pp.643-654. 1993.
16. Chan, S.C., A.K.C. Wong and D.K.Y. Chiu, "A survey of multiple sequence comparison methods, the Bulletin of Mathematical Biology", vol.54, no.4, pp.563-598,1992.
17. Chiu, D.K.Y. and T. Kolodziejczak, "Inferencing consensus structure from nucleic acid sequences", Computer Applications in the Biosciences, vol.7, no.3, pp. 347-352, 1991. (This paper is selected in Current Opinion in Structural Biology as outstanding interest and an important advance.)
18. Harauz, G. and D.K.Y. Chiu, "Covering events in eigenimages of biomolecules Ultramicroscopy", 38, 305-317, 1991.
19. Chiu, D.K.Y., A.K.C. Wong and K.C.C. Chan, "Synthesis of statistical knowledge from time-dependent data", in IEEE Trans. of PAMI, vol.13, no.3, 265-271, March 1991.
20. Chiu, D.K.Y., B. Cheung and A.K.C. Wong, "Information synthesis based on hierarchical maximum entropy discretization", Journal of Experimental and Theoretical Artificial Intelligence, 2, 117-129, 1990.
21. Wong, A.K.C. and D.K.Y. Chiu, "Synthesising statistical knowledge from incomplete mixed-mode data", IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.PAMI-9, no.6, 796-805, Nov.1987.
22. Chiu, D.K.Y. and A.K.C. Wong, "Pattern analysis on mixed-mode hydrometric data, Stochastic Hydrology and Hydraulics", 1, 67-80, 1987.
23. Wong, A.K.C. and D.K.Y. Chiu, "An event-covering method for effective probabilistic inference", Pattern Recognition, 20, 2, 245-255, 1987.
24. Chiu, D.K.Y. and A.K.C. Wong, "Synthesising knowledge : a cluster analysis approach using event-covering", IEEE Trans. Systems, Man and Cybernetics, vol. SMC-16, no.2, 251-259, Mar./Apr. 1986.

Articles Submitted

25. Chiu, D.K.Y. and A.K.C. Wong, "Multiple pattern associations for interpreting structural and functional characteristics of biomolecules", submitted.
26. Gadishe, D., O. Basir and D.K.Y. Chiu, "Rule discovery for inconsistency management in spatial databases," submitted.

Selected Papers in Book Chapters

27. Chiu, D.K.Y., D. Bockus and J. Bradford, "An event-space feedforward network using maximum entropy partitioning with application to low level speech data," in Mathematics of Neural Networks: Models, Algorithms and Applications, eds. S.W. Ellacott, J.C. Mason, I.J. Anderson, Kluwer Academic Publishers, Boston/London/Dordrecht, Ch.22, pp.146-150, 1997.
28. Chiu, D.K.Y. and D.A. Gadishev, "Texture comparison based on selected texture primitives", in Lecture Notes in Computer Science, Image Analysis Applications and Computer Graphics, Chin, R.T., H.H.S. Ip, A.C. Naiman, T.-C. Pong (Eds.), Springer, 497-498, 1995.
29. Shen, H.C., D.K.Y. Chiu, C.Y.C. Bie, J.Scharcanski and A.P. Alves da Silva, "Representational issues in texture analysis", in Computer Vision, Systems, Theory and Applications, eds. A. Basu and X. Li, World Scientific Series in Computer Science, vol.38, pp.153-177, 1993.
30. Chiu, D.K.Y., A.R. Halabieh and D.R. Edwards, "Analyzing distributions of the probability estimates in computer usage data", in Neural Networks and Pattern Recognition in Human Computer Interaction, eds. Russell Beale and Janet Finlay, Ch.19, pp.357-374, Ellis Horwood Series in Computers and Their Applications, 1992.
31. Chiu, D.K.Y., A.K.C. Wong and B. Cheung, "Information discovery through hierarchical maximum entropy discretization and synthesis", in Knowledge Discovery in Databases, eds. G. Piatetsky-Shapiro and W.J. Frawley, pp.125-140, MIT/AAAI Press, 1991.
32. Chiu, D.K.Y. and B. Cheung, "Hierarchical maximum entropy discretization", W.W. Koczkodaj and R. Janicki (eds.), Computing and Information, North-Holland Publisher, pp.237-242, 1989.
33. Chan, K.C.C., A.K.C. Wong and D.K.Y. Chiu, "Observer: a probabilistic learning system for ordered events", in Lecture Notes in Computer Science, Pattern Recognition, 301, J. Kittler (ed.), Springer-Verlag, pp.507-516, 1988.

Other Full Refereed Publications (in Conference Proceedings)

34. Chiu, D.K.Y., R. Zhao and S. Chen, "Evaluation of microarray design for bacterial strain detection," 4th Conf. on Computational Biology and Genome Informatics, Durham, May 8-14, 2002.
35. Collins, J.P. and D.K.Y. Chiu, "Ameliorating boundary errors from quantizing images with the discrete wavelet transform",  4th Intern. Conf. on Computer Vision, Pattern Recognition and Image
    Processing, Durham, May 8-14, 2002.
36. Hu, E, S.X. Yang, W.R. Smith and D.K.Y. Chiu, "A non-time based tracking controller for multiple nonholonmic mobile robots," Proc. IEEE Intern. Conf. of Robotics and Automation (ICRA'2002). Washington DC, May 11-15,2002, pp.3954-3959.
37. Xu, H., S.X. Yang, G. L. Hayward and D.K.Y. Chiu, "A neural dynamic path planner for a nonholonomic mobile robot," Proc. 8th Intern. Conf. on Neural Information Processing (ICONIP' 2001), Shanghai, China, Nov.11-18,2001, pp.1139-1144.
38. Chiu, D.K.Y. and T. Liu, "Integrated database mining in multi-modal relations," Proc. SSGRR'2001 - Internet Conference on Advances in Infrastructure for Electronic Business, Science and Education on the Internet, L'Aquila, 6-12 Auguest, 2001, pp.72 (abstract, refereed based on full paper).
39. Chiu, D.K.Y. and T. Liu, "Integrated database mining in multi-modal relations," CD-ROM, SSGRR'2001 - Internet Conference on Advances in Infrastructure for Electronic Business, Science and Education on the Internet, L'Aquila, 6-12 August, 2001 (full paper, invited and refereed).
40. Chiu, D.K.Y., X. Chen and A.K.C. Wong, "Association between statistical and functional patterns in biomolecules," Proc. Atlantic Symposium on Computational Biology and Genome Information Systems and Technology, Mar.15-17, 2001, Durham, NC, USA, pp.64-69.
41. Chiu, D.K.Y. and T.W.H. Lui, "Consigned interdependency for pattern discovery from biomolecular sequences," Proc. Atlantic Symposium on Computation Biology and Genome Information Systems and Technology, Mar.15-17, 2001, Durham, NC, USA, pp.75-81.
42. Collins, J. and D.K.Y. Chiu, "Evaluation of boundary errors from quantizing images with the discrete wavelet transform," Proc. 2000 Intern. Conf. on Imaging Science, Systems and Technology, Las Vegas, Nevada, U.S.A, June 26-29, 2000, pp.611-617.
43. Wong, A.K.C., D.K.Y. Chiu and W. Huang, "Clustering discrete-valued data using biological and molecular data," Proc. 5th Joint Conf. on Information Sciences, Vol.2, Feb.27-Mar.3,2000, Atlantic City, (ed.) P.P. Wang, Assoc. for Intelligent Machinery,   pp.794-797.
44. Chiu, D.K.Y. and A.K.C. Wong, "Analyzing cytochrome c sequences using detected multiple interdependency," Proc. 5th Joint Conf. on Information Sciences, Vol.2, Feb.27-Mar.3, 2000, Atlantic City, (ed.) P.P. Wang, Assoc. for Intelligent Machinery, pp.815-818.
45. Gadish, D.A., O. Basir and D.K.Y. Chiu, "Detection and adjustment of inconsistencies in a multi-layered spatial representation", Proc. 13th Annual COnference on Geographic Information Systems, GIS'99, Vancouver, pp.24-27.
46. Chiu, D.K.Y. and M.Y.W. Leung, "Evaluating input dependency in a feedforward neural network", Proc. 5th Intern. Conference on Neural Information Processing (ICONIP'98), IOS Press, pp.801-804.
47. Chiu, D.K.Y. and F.E. Kavanaugh, "The ck-nearest neighbor distance network: A network using class boundary feature distances,"  in the 4th Intern. Conf. on Neural Information Processing (ICONIP'97), University of Otago, Dunedin, New Zealand, 24-28 November, 1997, Proc. Intern. Conf.on Neural Information Processing and Intelligent Systems, vol.1, (Eds.) N. Kasabov, R.Kozma, K.Ko, R.O'Shea, G.Coghill, T.Gedeon, Springer, 1997, pp.535-538.
48. Chiu, D.K.Y. and D.R. Brooks, "Detecting themes in web document descriptors," Proc.WebNet World Conference '97 of the WWW, Internet and Intranet, Toronto, 31 Oct.- 5 Nov., 1997, pp.123-128.
49. Chiu, D.K.Y. and F.E. Kavanaugh, "Classification based on class boundary feature distances," Proc. 10th Intern. Florida Artificial Intelligence Research Symposium (FLAIRS-97), Daytona Beach, 12-14 May, 1997, pp.222-226.
50. Leung, M.Y.W. and D.K.Y. Chiu, " Feature Selection for two-dimensional shape discrimination using feedforward neural networks", Proc. Vision, Recognition, Action: Neural Models of Mind and Machine, 29-31 May, 1997, Boston, pp.83 (extended abstract).
51. Chiu, D.K.Y. and M.Y.W. Leung, "A measure of dependency in feedforward networks", in Proc. Vision Interface, '96, 21-24 May, 1996, Toronto, Ontario pp.57-63.
52. Chiu, D.K.Y., D. Bockus and J. Bradford, "A self-configurable feedforward network using maximum entropy partitioning with application to low level speech data," Proc. Intern. Conf. on Mathematics of Neural Networks and Applications, Lady Margaret Hall, Oxford, 1995 (extended abstract).
53. Sekita, I., T. Kurita, T., D.K.Y. Chiu and H. Asoh, "Reconfigurating feedforward networks with fewer hidden nodes", in Proc. SPIE's Intern. Symposium on Optical Engineering and Photonics in Aerospace and Remote Sensing, Orlando, vol.1962, Adaptive and Learning Systems II, F.A. Sadjadi (ed.), pp.45-53, Sept. 1993.
54. Chiu, D.K.Y., "Transformation systems and neural networks", World Congress on Neural Networks, Portland, pp.III-424-428, July 11-15, 1993.
55. Chiu, D.K.Y., "Towards an event-space self-configurable neural network", in Proc.1993 IEEE Intern. Conf. on Neural Networks, San Francisco, California, pp.956-961, Mar.28-Apr.1, 1993.
56. Chiu, D.K.Y., "Towards an event-space self-configurable neural network", in 1993 IEEE Intern. Conf. on Neural Networks, San Francisco, California, abstract in CD-ROM proceeding, Mar.28-Apr.1, 1993.
57. Chiu, D.K.Y., I. Sekita and T. Kurita, "Evaluation of interdependent nodes in layered neural networks", Proc. Second Intern. Conf. on Automation, Robotics and Computer Vision, Vol.1, pp.NW-1.2.1-NW-1.2.4, 1992.
58. Chiu, D.K.Y., C.Y.C. Bie and H.C. Shen, "Hierarchical maximum entropy partitioning of visual feature frequency matrices for texture classification", Proc. Vision Interface, Vancouver, Canada, 1992, pp.9-14.
59. Halabieh, A.R. and D.K.Y. Chiu, "Discovering regularities and irregularities based on the distribution of probability estimates", Proc. Vision Interface, Vancouver, Canada, 1992, pp.61-68.
60. Chiu, D.K.Y., "A consensus structure inference algorithm", Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Maui, Hawaii, June 3-6, 1991, pp.755-756.
61. Chiu, D.K.Y. and A.K.C. Wong, "Discretization, event-covering, data synthesis, information", Proc. 1989 IJCAI Workshop on Knowledge Discovery in Databases, Detroit, pp.57-70.
62. Chiu, D.K.Y. and B. Cheung, "Hierarchical maximum entropy discretisation and its application to data synthesis, Proceeding in Intern. Conf. on Computing and Information, Toronto, 1989, 386 (extended abstract).
63. Chan, K.C.C., A.K.C. Wong and D.K.Y. Chiu, "Learning sequential patterns for probabilistic inductive prediction", in Proc. 5th 1989 Intern. Conf. on Artificial Intelligence Applications, pp. 223-229. (This paper has been selected by the editors of IEEE Expert, Summer 1989, p.78, as one of four most relevant papers in 1989 International Conference on Artificial Intelligence Applications.)
64. Chiu, D.K.Y. and A.K.C. Wong, "An event-covering method for analysis and forecasting on time-dependent discrete-valued data", Proc. 8th Intern. Conf. on Pattern Recognition, Paris, France, Oct.27-31, 1986, 1136-1140.
65. Wong, A.K.C., D.K. Chiu and M. de Lascurain, "Inference and cluster analysis of mixed-mode data", Intern. Symposium on New Directions in Computing, Trondheim, Norway, 1985.
66. Chiu, D.K. and A.K.C. Wong, "Synthesising statistical knowledge in discrete-valued and mixed-mode data", Proc. 1985 IEEE Conf. on Computer Vision and Pattern Recognition, San Francisco, California, U.S.A., pp.376-378.
67. Wong, A.K.C. and D.K.Y. Chiu, "A probabilistic inference system", Proc. 1984 IEEE Intern. Conf. on Pattern Recognition, Montreal, Canada, pp.303-306.
68. Chiu, D.K.Y. and A.K.C. Wong, "An event-covering approach for cluster analysis of discrete-valued data with application to medical diagnosis", Proc. 1984 IEEE Conf. on Artificial Intelligent Applications, Los Angeles, U.S.A.

Non-Refereed Publications and Other Presentations

69. Chiu, D.K.Y., “A discrete-valued clustering algorithm for biomolecular analysis,” IBM Centre for Advanced Studies Conference (CASCON ‘2002), Workshop on Computational Approaches to High-Throughput Biology, Toronto, October 1, 2002
70. Chiu, D.K.Y. “Exploring higher-order formation of biomolecules,” RAPID conference, Biola University, Oct.24-28, 2002.
71. Chiu, D.K.Y. "Image analysis in biological applications", invited speaker, Dept. Computing, Hong Kong Polytechnics University, 2002.
72. Chiu, D.K.Y. "Biomolecular sequence analysis using multiple database mining", invited speaker, Dept. Computing, Hong Kong Polytechnics University, 2002.
73. Chiu, D.K.Y. "Bioinformatics education", seminar speaker, Dept. Microbiology, University of Guelph, 2002.
74. Chiu, D.K.Y., T.W.H. Liu, X. Chen and Y. Wang, "Bioinformatics using integrated database mining", invited poster presentation, College of Physical and Engineering Sciences, University of Guelph, 2002.
75. Chiu, D.K.Y. "Bioinformatics education", invited panel speaker, University of Sao Paulo, Brazil, Dec., 2001.
76. Chiu, D.K.Y. "Some relevant issues in bioinformatics" keynote speaker, InBio Conference on Artificial Intelligence and Bioinformatics, University of Sao Paulo, Brazil, Dec.3-8, 2001.
77. Chiu, D.K.Y. " Bioinformatics using integrated database mining" keynote speaker, InBio Conference on Artificial Intelligence and Bioinformatics, University of Sao Paulo, Brazil, Dec.3-8, 2001.
78. Chiu, D.K.Y., T.W.H. Liu, X. Chen and Y. Wang, "Bioinformatics using integrated database mining," invited poster presentation, in Symposium of Biophysics Interdepartmental Group, University of Guelph, Sept.13, 2001.
79. Chiu, D.K.Y. "Discovering knowledge from biomolecular data using cluster analysis," invited presentation, BioComp Symposium, University of Guelph, Sept.5, 2000.
80. Chiu, D.K.Y., "Consensus structure and its application to molecular biology", in Third Conference of the International Federation of Classification Societies, Edinburgh, Scotland, August 6-9, 1991.
81. Carey, T.D., D. Calvert, D.K.Y. Chiu, D. Halabieh, D.A. Stacey and D. Edwards, "Pattern analysis of HCI usage data", positional paper for York Symposium on Neural Nets and Pattern Recognition for Human-Computer Interaction, York, UK, August, 1991.
82. Chiu, D.K.Y., "Analysis of discrete-valued data based on dependence tree transformation", Internal Report #CIS90-D7, University of Guelph, 1990.
83. Chiu, D.K.Y. and A.K.C. Wong, "Analysing time-dependent systems using event-covering", Proceeding in Second Conf. of the Intern. Federation of Classification Society, Charlotteville, Virginia, 1989, 28.
84. Chiu, D.K.Y., Pattern Analysis Using Event-Covering, Ph.D. Thesis, Dept. of Systems Design Engineering, University of Waterloo, Waterloo, Canada, 1986.
85. Chiu, D.K.Y. , "Knowledge acquisition in veterinary medicine using event-covering", Internal Report #CIS88D4, Dept. of Comp. and Inform. Science, University of Guelph, , 1988.
86. McLeish, M., L. Randell, D.K.Y. Chiu and P. Pascol, "The comparison of several knowledge acquisition techniques for a veterinary medical diagnostic systems", Internal Report #CIS87D9, Dept. of Comp. and Inform. Sci., Univ. of Guelph, 1987.
87. McLeish, M., A. Lopez-Suarez, D.K.Y. Chiu and T. Stirtzinger, "A knowledge-based system for veterinary medical diagnosis: overview and discussion of the data management component", Internal Report #CIS87D1, Dept. of Comp. and Inform. Sci., Univ. of Guelph, 1987.
88. Wong, A.K.C., T.P. Liu and D.K. Chiu, "Modification and experimentation of a single-pass data-directed hybrid algorithm for courtesy amount recognition", Final Report submitted to NCR Canada Ltd., Waterloo Research Institute, Univ. of Waterloo, 1984.
89. Wong, A.K.C., T.P. Liu, D.K. Chiu and M. You, "A single-pass data-directed hybrid algorithm for recognizing sequences of unconstrained hand-written numerals", Final Report submitted to NCR Canada Ltd., Waterloo Research Institute, Univ. of Waterloo, 1983.
90. Chiu, D.K., "Systematic implementation of ISWIM using state semantics", Internal Report, Department of Computing and Information Science, Queen's University, 1979.

Contact Points

David K. Y. Chiu (dchiu@snowhite.cis.uoguelph.ca)

[LiteKeeper]

Again sorry, I fail to see the connection between a "light bulb" and the bacteria flagellum which is an incredibly complex micro machine with 50 working parts, all of which are required for it to work. A machine that rotates at approx 100,000 rpm, and yet is able to stop and go into reverse is less than a quarter turn.

Molecular Machines and Irreducible Complexity

Molecular Machines: Experimental Support for the Design Inference

[Alamo-Girl]

Thank you both so much for your posts!

In addition to AndrewC's information, I'd like to offer this frank discussion by Dembski presented October 25, 2002: Becoming a Disciplined Science: Prospects, Pitfalls and Reality Check for ID (pdf)

[LiteKeeper]

Please see posting 109.