EXTRA! EXTRA! Conceito da TDI vai ser considerado em laboratório de universidade americana

Dizem que as teses da TDI não é ciência, não faz predições, já foi falseada e otras cositas mais. Que tal considerar as teses de probabilidade e informação de William Dembski numa “informática evolutiva”? É o que está acontecendo lá nos Estados Unidos.
Robert J. Marks II, Ph. D. (vide biodata abaixo), colocou online o seu Laboratório de Informática Evolutiva na Baylor University:

Descrição online do laboratório:

“A informática evolutiva reúne as teorias da evolução e da informação, casando assim as ciências naturais, engenharia, e as ciências matemáticas. A informática evolutiva estuda como que os sistemas em evolução incorporam, transformam, e exportam a informação. O Laboratório de Informática Evolutiva da Baylor University explora os fundamentos conceituais, o desenvolvimento matemático, e a aplicação empírica da informática evolutiva. O tema principal da pesquisa do laboratório é separar os papéis respectivos informação gerada internamente e aplicada externamente no desempenho dos sistemas evolutivos.”

William Dembski, autor do livro “Design Inference: Eliminating Chance Through Small Probabilities” (Cambridge, Cambridge University Press, 2000), nosso teórico mais eminente já colaborou com três artigos e, segundo Dembski, há mais artigos sendo elaborados:

Bem, como eu disse neste blog, ninguém da Akademia em Pindorama lidou com as teses de Dembski (incompetência ou não querer considerá-las para não conferir status acadêmico às teses dembskianas?). Agora, nós teóricos e proponentes da TDI estamos felizes da vida só de ver a Universidade que praticamente “escorraçou” Dembski de lá, vai ter que considerar agora suas teses de probabilidade e informação.

Para que não paire nenhuma sombra de dúvida na Grande Taba Tabajara sobre a competência científica do Dr. Marks II, transcrevo abaixo a sua “biodata” em inglês (sorry, periferia):

Robert J. Marks II, Ph.D., is Distinguished Professor of Engineering in the Department of Engineering at Baylor University. He is Fellow of both IEEE and The Optical Society of America. Professor Marks was awarded the Outstanding Branch Councilor award by IEEE and was presented with the IEEE Centennial Medal. He was named a Distinguished Young Alumnus of Rose-Hulman Institute of Technology and is an inductee into the Texas Tech Electrical Engineering Academy. He was awarded the Golden Jubilee Award by the IEEE Circuits and Systems Society. He is also the first recipient of the IEEE Computational Intelligence Society Meritorious Service Award and the first honorary member of the Puget Sound Section of the Optical Society of America. He was also co-recipient of a NASA Tech Brief Award for the paper “Minimum Power Broadcast Trees for Wireless Networks”, and the Judith Stitt Award at the American Brachytherapy Society 23rd Annual Meeting. Dr. Marks served as a Distinguished Lecturer for the IEEE Computational Intelligence Society. Dr. Marks was Chair of IEEE Neural Networks Committee and served as the first President of the IEEE Neural Networks Council (now a Society). He was given the honorary title of Charter President. He served a a six year stint of the Editor-in-Chief of the IEEE Transactions on Neural Networks and as an Associate Editor of the IEEE Transactions on Fuzzy Systems. He was also the topical editor for Optical Signal Processing and Image Science for the Journal of the Optical Society of America A. He has served as a member of the Editorial Board for The International Journal of Neurocomputing, The Australian Journal of Intelligent Information Processing Systems, The Journal of Advanced Computational Intelligence, and Sampling Theory in Signal & Image Processing. Dr. Marks was co-founder and first President of The Puget Sound Section of the Optical Society of America. He was co-founder and first Chair of the IEEE Circuits & Systems Society Technical Committee on Neural Systems & Applications. Dr. Marks serves as the Steering Committee Chair for the 2005 IEEE Symposium on Swarm Intelligence in Pasadena. Dr. Marks served as General Chair of the International Symposium on Circuits and Systems, Seattle, General Co-Chair for four years of the IEEE/IAFE Conference on Financial Engineering in New York, International Chair of the RNNS/IEEE Symposium on Neuroinformatics and Neurocomputing (Rostov-on-Don, USSR), Organizational Chair for the (first), IEEE Virtual Reality Annual International Symposium (VRAIS) in Seattle and Raleigh, NC, respectively, and the (first) IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Victoria, BC). He served as Program and Tutorials Chair for the First International Forum on Applications of Neural Networks to Power Systems (Seattle). He served as the Awards Chair and Fellows Chair for the IEEE Computational Intelligence Society. Dr. Marks served as an elected member of the Board of Governors and Administrative Vice President of the IEEE Circuits and Systems Society. Professor Marks was the Technical Program Director for the first IEEE World Congress on Computational Intelligence, Orlando, the Program Co-chair for The IEEE/IAFE Conference on Financial Engineering (New York), The RNNS/IEEE Symposium on Neuroinformatics and Neurocomputing (Rostov-on-Don, Russia) and The International Conference on Neural Networks (ICNN) in Perth, Australia. He served as the North American Liaison for the Singapore International Joint Conference on Neural Networks (IJCNN); the Tutorials Chair for the IEEE World Congress on Computational Intelligence, Anchorage; Publications Chair of the IEEE International Electric Machines and Drives Conference (IEMDC’99), Seattle. He was the Special Sessions Chair for the 2000 International Joint Conference on Neural Networks - Italy. Dr. Marks has over 300 publications. Some of them are very good. Ten of Dr. Marks’ papers have been reproduced in volumes of collections of outstanding papers. He has three US patents in the field of artificial neural networks and signal processing. He is the author of the books Introduction to Shannon Sampling and Interpolation Theory (Springer Verlag, 1991), Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks (MIT Press, 1999) - with Russ Reed, and Handbook of Fourier Analysis and Its Applications (Oxford University Press, in press). He is the editor of Advanced Topics in Shannon Sampling and Interpolation Theory (Springer Verlag, 1993), and Fuzzy Logic Technology and Applications (IEEE Technical Activities Board, Piscataway, 1994). He is also a co-editor of the volumes Computational Intelligence: Imitating Life (IEEE Press, 1994), and Computational Intelligence: A Dynamic Systems Perspective (IEEE Press, 1995).