profhugodegaris

Species Dominance, Artilects, Artilect War, Cosmists, Terrans, Gigadeath, Essays, Media, etc

Publications

PUBLICATIONS

I have an old CD containing my pre-retirement publications that I used to upload them to this tab. I had about 150 research papers (journal articles, book chapters, and conference papers) published over my research career from 1987 to 2010.

A few years ago I read that the  average published research paper is read by ONE OTHER PERSON. This made me feel that my research career was largely a huge waste of money and time, and that most research is equally wasted and a huge waste of peoples lives.

So,  now I feel I’m doing something far more worthwhile, more valuable, by becoming a globacator (global educator) making YouTube educational lecture videos at graduate (masters and PhD) level in Pure Math, Math Physics and some Computer Theory, as well as e-libraries in these topics plus philosophy, and brain related topics.

In a class room  I could teach maybe 20 students, and had to teach much the same material over and over. Now I teach the planet a course once and it remains forever on YouTube (hopefully). This allows me to teach many courses and give the world a far richer, deeper education in my chosen topics. I hope other retired professors (“freeprofs”) will follow my example and put their knowledge for free into YouTube lecture videos rather than having it rot when their brains rot (or burn) after they die.

Research Gate

I kept getting emails from Research Gate (RG) asking me to upload full versions of my research papers on their site. RG says I’ve had about 10,000 views of my papers on their site. So I uploaded all my research papers linked here to them as well. Enjoy!

=====

Journal Publications (peer reviewed, with more than one peer)

Z. Fan, Hugo de Garis, “Braid Matrices and Quantum Gates for Ising Anyons Topological Quantum Computing”, European Physical Journal B, 74(3): pp 419-427, April 2010, ISSN 1434-6028.  (link)

Hugo de Garis, Ben Goertzel, “Report on the Second International Conference on Artificial General Intelligence (AGI-09)”, “Artificial Intelligence Magazine”, Vol. 30, Number 4, 2009.  (link)

Hugo de Garis, Ben Goertzel, “Guest Editorial”, in “Special Issue on Artificial Brains”, “Neurocomputing” 74, pp 1-2, 2010  (link)

Hugo de Garis, Chen Shuo, Ben Goertzel, Lian Ruiting, “A World Survey of Artificial Brain Projects : Part I : Large-Scale Brain Simulations” ”, in “Special Issue on Artificial Brains”, “Neurocomputing” 74, 2010  (link)

Ben Goertzel, Lian Ruiting, Itamar Arel, Hugo de Garis, Shuo Chen, “A World Survey of Artificial Brain Projects : Part II : Biologically Inspired Cognitive Architectures” in “Special Issue on Artificial Brains”, “Neurocomputing” 74, pp 30-49, 2010  (link)

Hugo de Garis, Ben Goertzel, “Report on the First International Conference on Artificial General Intelligence (AGI-08)”, “Artificial Intelligence Magazine”, Vol. 30, Number 1, p121ff, March 2009.  (link)

Kang Zhuo, Li Yan, Hugo de Garis, David Evans, Kang Li-Shan, “Multi-Modal Function Optimization with the ZEDS (Zoomed Evolutionary Dual Strategy) Algorithm”, International Journal of Computational Mathematics 81 (6): pp 675-684 (2004).  (link)

Jonathan Dinerstein, Parris Egbert, Hugo de Garis, Nelson Dinerstein, “Fast and Learnable Behavioral and Cognitive Modeling for Virtual Character Recognition”, Journal of Visualization and Computer Animation, 2004.  (link)

Jonathan Dinerstein, Parris Egbert, Hugo de Garis, Nelson Dinerstein, “Fast and Learnable Behavioral and Cognitive Modeling for Virtual Character Recognition”, Journal of Computer Animation and Virtual Worlds 2004.  (link)

Hugo de Garis, “The Fourth NASA/DoD Workshop on Evolvable Hardware”, IEEE Transactions on Evolutionary Computation, December 2003  (link)

Yan Li, Lishan Kang, Hugo de Garis, Zhuo Kang, Pu Liu, “A Robust Algorithm for Solving Nonlinear Programming Problems”, International Journal of Computational Mathematics 79 (5): pp 523-536 (2002).  (link)

Pu Liu, Lishan Kang, Hugo de Garis, Yuping Chen, “An Asynchronous Parallel Evolutionary Algorithm (APEA) for Solving Complex Non-Linear Real World Optimization Problems”, Neural, Parallel and Scientific Computations, 01/2002, 10, pp179-188  (link)

Hugo de Garis,, “Guest Editorial”, Neurocomputing journal, Elsevier, Vol. 42, Issue 1-4, February, 2002. Special issue on “Evolutionary Neural Systems”, guest editor Prof. Hugo de Garis.  (link)

Hugo de Garis, Michael Korkin, “The CAM-Brain Machine (CBM), An FPGA Based Hardware Tool which Evolves a 1000 Neuron Net Circuit Module in Seconds and Updates a 75 Million Neuron Artificial Brain for Real Time Robot Control”, Neurocomputing journal, Elsevier, Vol. 42, Issue 1-4, February, 2002. Special issue on Evolutionary Neural Systems, guest editor Prof. Hugo de Garis.  (link)

Hugo de Garis, Michael Korkin, “The CAM-Brain Machine (CBM) : Real Time Evolution and Update of a 75 Million Neuron FPGA-Based Artificial Brain”, Journal of VLSI Signal Processing Systems (JVSPS), Special Issue on Custom Computing Technology, 2001  (link)

Hugo de Garis, Michael Korkin, Gary Fehr, “The CAM-Brain Machine (CBM) : An FPGA Based Tool for Evolving a 75 Million Neuron Artificial Brain to Control a Lifesized Kitten Robot”, Autonomous Robots Journal, Vol. 10, No. 3, May 2001.  (link)

Hugo de Garis, Michael Korkin, Felix Gers, Eiji Nawa, Michael Hough C, “Building an Artificial Brain Using an FPGA Based CAM-Brain Machine”, Applied Mathematics and Computation Journal, Special Issue on “Artificial Life and Robotics, Artificial Brain, Brain Computing and Brainware”, Vol. 111, 2000, pp163-192, North Holland.  (link)

Hugo de Garis, Michael Korkin, “An Artificial Brain : Using Evolvable Hardware Techniques to Build a 75 Million Neuron Artificial Brain to Control the Many Behaviors of a Kitten Robot”, Handbook of Biomimetics, HTS Publishers, Japan, Sept. 2000, pp 729-736.  (link)

Hugo de Garis, “Review of Proceedings of the First NASA/DoD Workshop on Evolvable Hardware”, IEEE Transactions on Evolutionary Computation (IEEE-TEC), Nov 1999, Vol. 3 No. 4.  (link)

Hugo de Garis, Sung-Bae Cho, “Towards the Development of an Artificial Brain Using an Artificial Life Approach”, Korean Information Science Society Review, Vol. 17, No. 5, pp 20-26, May 1999 (in Korean).  (p1)(p2)(p3)(p4)(p5)(p6)(p7)  (link)

Hugo de Garis, Felix Gers, Michael Korkin, Arvin Agah, Norberto Eiji Nawa, “CAMbrain” ATR’s Billion Neuron Artificial Brain Project : A Three Year Progress Report”, Artificial Life and Robotics Journal, Vol. 2, 1998, pp 56-61.  (p1)(p2)(p3)(p4)(p5)(p6)  (link)

Hugo de Garis, “CAM-Brain : ATR’s Artificial Brain Project : A Progress Report”, Wuhan University Journal of Natural Sciences, Vol. 1, No. 3/4, 1996 pp 579-592  (link)   (link2)

Hitoshi Iba, Hugo de Garis, Taisuke Sato, “A Numerical Approach to Genetic Programming for System Identification”, Evolutionary Computation journal, Vol. 3, No. 4, pp 417-452, 1995  (link)  (link2)

Hugo de Garis, “An Artificial Brain : ATR’s CAM-Brain Project Aims to Build/Evolve an Artificial Brain with a Million Neural Net Modules Inside a Trillion Cell Cellular Automata Machine”, New Generation Computing Journal, Vol.12, No.2, pp 215-221, 1994, Ohmsha & Springer Verlag.  (p1)(p2)(p3)(p4)(p5)(p6)(p7)(p8)  (link)

Hugo de Garis, “CAM-Brain : Growing an Artificial Brain with a Million Neural Net Modules inside a Trillion Cell Cellular Automata Machine”, Journal of the Society of Instrument and Control Engineers (SICE), Vol.33, No.2, Society of Instrument and Control Engineers of Japan, 1994  (link)

Hugo de Garis, “Genetic Neural Nets Can Be Dynamic Too, You Know!”, Neural Network Review, Lawrence Erlbaum, Vol. 4, No. 1, pp 50-51, 1990.  (p1)(p2)(p3)(p4)(p5)  (link)

Hugo de Garis, “The 21st Century Artilect : Moral Dilemmas Concerning the Ultra Intelligent Machine”, Int. Philosophical Review (Revue Int. de Philosophie), Vol. 44, No. 172, pp 131-138, May 1990.  (p1)(p2)(p3)(p4)(p5)(p6)(p7)(p8)(p9)  (link)

Hugo de Garis, “What if AI Succeeds? The Rise of the 21st Century Artilect”, AI Magazine, Vol.10, No. 2, Summer 1989.  (p1)(p2)(p3)(p4)(p5)(p6)(p7)(p8)  (link)  (My first published academic article, a generation ahead of its time!)

Journal Publications (invited by editor-in-chief)

Hugo de Garis, “Conference Review : Evolvable Hardware 2005”, Evolutionary Computation, Vol. 13, Winter, pp 545-550, MIT Press, 2005.  (link)

Hugo de Garis, “Evolvable Hardware 2004”, Evolutionary Computation journal, Fall 2004, Vol. 12, No. 3, pp 397-402, MIT Press.  (link)

Hugo de Garis, “Introduction to Evolutionary Computing”, Evolutionary Computation journal, Summer 2004, Vol. 12, No. 2, pp 269-271.  (link)

Hitoshi Iba, Hugo de Garis, Tetsuya Higuchi, “Evolutionary Learning of Predatory Behaviors Based on Structured Classifiers”  From Animals to Animats 2, Proceedings of the 2nd. Int. Conf. (link)

Hugo de Garis, “The Second NASA/DoD Workshop on Evolvable Hardware”, IEEE Transactions on Evolutionary Computation, Vol. 5, No. 3, June 2001.  (link)

Hugo de Garis, “Review of Proceedings of the First NASA/DoD Workshop on Evolvable Hardware”, IEEE Transactions on Evolutionary Computation (IEEE-TEC), Nov 1999, Vol. 3 No. 4.  (link)

Conference Papers (Peer Reviewed) (>100)

2010

Hugo de Garis, Chen Xiaoxi, Yang Ye, Chen Shuo, Ben Goertzel, Lian Ruiting, “Object/Gesture Recognition Software in the “China Brain Project”, IEEE Int. Conf. on Cognitive Informatics (ICCI), Tsinghua University, July 7-9, Beijing, China.  (link)

Ben Goertzel, Hugo de Garis, Shuo Chen, Ruiting Lian, Min Jiang, “Artificial Brains: a Review of the State of the Art and a Roadmap for Future Development”, International Conference on Advanced Intelligence (ICAI), Beijing, August 2010.  (link)

Ben Goertzel, Hugo de Garis, Cassio Pennachin, Nil Geisweiller, Samir Araujo, Joel Pitt, Shuo Chen, Ruiting Lian, Min Jiang, Ye Yang, Deheng Huang, “OpenCogBot: Achieving Generally Intelligent Virtual Agent Control and Humanoid Robotics via Cognitive Synergy”, International Conference on Advanced Intelligence (ICAI), Beijing, August 2010.  (link)

Xiaoxi Chen, Lin Gao, Hugo de Garis, “CuParcone : A High-Performance Evolvable Neural Network Model”, International Conference on Intelligent Computation Technology and Automation (ICICTA) 2010  (link)

Xiao-Xi Chen, Ming-Huo Shi, Hugo de Garis, “GPU Based Partially Connected Neural Evolutionary Network and its Application to Gender Recognition with Face Images”, 8th. World Congress on Intelligent Control and Automation (WCICA) 2010  (link)

M Shi, W Pan, Hugo de Garis, K Chen, “Approach to Controlling Robot by Artificial Brain Based on Parallel Evolutionary Neural Network”, Int. Conf. Industrial Mechatronics and Automation (ICIMA) 2010  (link)

2009

Prof. Dr. Hugo de GARIS, Dean Prof. Dr. ZHOU Changle, Prof. Dr. SHI Xiaodong, Dr. Ben GOERTZEL, Prof. PAN Wei, Prof. MIAO Kehua, Prof. Dr. ZHOU Jianyang, Dr. JIANG Min, Prof. ZHEN Lingxiang, Prof. Dr. WU Qinfang, Prof. Dr. SHI Minghui, LIAN Ruiting, CHEN Ying, “The China-Brain Project : Report on the First Six Months”, Proceedings of the Second International Conference on Artificial General Intelligence, Washington DC, USA, March 2009.  (link)

Hugo de GARIS, “The China-Brain Project”, Congress on Evolutionary Computation (CEC-09), Trondheim, Norway, Europe, May 18-21, 2009.  (link)

Minghui Shi, Wei Pan, Hugo de Garis “Approach to Partially Connected Neural evoltuionary Model with its Application to Image Recognition”, Int. Conf. on Computational Intelligence and Software Engineering (CISE) 2009  (link)

2008

de Garis, Hugo and Ben Goertzel (2008), “XIA-MAN: An Extensible, Integrative Architecture for Intelligent Humanoid Robotics”. Proceedings of the AAAI Symposium on Biologically Inspired Cognitive Architectures, Virginia, USA.  (link)

Hugo de Garis, “The “China-Brain” Project : A Four Year, 3 Million RMB Project to Build a 15,000 Evolved Neural Net Module Artificial Brain in China”, Proceedings of the World Conference on Computational Intelligence (WCCI), Hong Kong, China, June, 2008.  (link)

Hugo de Garis, “The China Brain Project”, Proceedings of the 1st International Conference on Artificial General Intelligence, Memphis, Tennessee, USA, March 2008.  (link)  (link2)  (link3)

Hugo de Garis, “The Artilect War : Cosmists vs. Terrans : A Bitter Controversy Concerning Whether Humanity Should Build Godlike Massively Intelligent Machines”, Proceedings of the 1st International Conference on Artificial General Intelligence, Memphis, Tennessee, USA, March 2008.  (link)

Hugo de Garis, Keynote Paper, “PARCONE, A PARtially Connected Neural Evolutionary” Model Serving as the Basis for Building China’s First Artificial Brain”, 3rd Int. Conf. on Intelligent System and Knowledge Engineering, Xiamen, China, November 2008.  (link)  (link2)  (link3)

Hugo de Garis, “(First) Keynote Speech : Topological Quantum Computing (TQC)”, IEEE Int. Conf. on Computer Science and Software Engineering, Wuhan, China, December 2008.  (link)

Hugo de Garis et al, “The China Brain Project : A Four Year, 3 Million RMB Project to Build a 15,000 Evolved Neural Net Module Artificial Brain in China”,  Conference on Evolutionary Computation (CEC), 2008  (link)

2007

Hugo de Garis, “Artificial Brains : An Evolved Neural Net Module Approach”, Invited Speaker talk, Congress on Evolutionary Computation (CEC), Singapore, September 2007.  (link)

Hugo de Garis, Tang Jianyu, Huang Di, “Artificial Brains – A Cheap Method for Speeding the Evolution of Neural Network Modules for Artificial Brain Building”, International Joint Conference on Neural Networks, August 2007, Orlando, Florida, USA.  (link)

Hugo de Garis, “Simultaneous Multi-Module Evolution : The Need for Simultaneous Evolution of Multiple Neural Net Modules for Brain Building”, IEEE Workshop on Evolvable and Adaptive Hardware (WEAH), Honolulu, Hawaii, April 2007.  (link)

2006

Hui Shi, Sanyou Zeng, Guang Chen, Hugo de Garis, Lishan Kang, “Orthogonal Dynamic Hill-climbing Algorithm for Dynamic Optimization Problems”, Congress on Evolutionary Computation (CEC), Vancouver, British Colombia, Canada, July 2006.  (link)

Guang Chen, Sanyou Zeng, Hui Shi, Hugo de Garis, Lishan Kang, “A Dynamic Multiobjective Evolutionary Algorithm Based on an Orthogonal Design”, Congress on Evolutionary Computation (CEC), Vancouver, British Colombia, Canada, July 2006.  (link)

Hugo de Garis, “Artificial Brains, An Evolved Neural Net Module Approach”, Workshop on Artificial General Intelligence, Washington DC, May 2006, Springer.  (link)

Hugo de Garis, “Hardware Accelerators for Evolving Building Block Modules for Artificial Brains”, Adaptive Hardware and Systems (AHS), 2006.  (link)

2005

Hugo de Garis, “Femtocomputing : New Architectural Ideas for Procedural and Evolutionary Computers Whose Components Switch in Femto-Seconds”, Proceedings of DoD/NASA Evolvable Hardware Conference, 2005, Washington DC, June 29- July 1 2005.  (link)

Hugo de Garis, Ce Wang, Thayne Batty, “Building a Cheaper Artificial Brain”, Proceedings Int. Joint Conf. Neural Networks (IJCNN),Montreal, Quebec, Canada, July 31-August 4, 2005.  (link)

Sanyou Zeng, Hugo de Garis, Jun He, Lishan Kang, “A Novel Evolutionary Algorithm Based on an Orthogonal Design for Dynamic Optimization Problems (ODEA)”, Congress on Evolutionary Computation (CEC05), Edinburgh, Scotland, Sept 2-5, 2005.  (link)

Hugo de Garis, “Femtocomputing : New Architectural Ideas for Procedural and Evolutionary Computers Whose Components Switch in Femto-Seconds”, Int. Conf. on Artificial Intelligence and Evolutionary Computation, Wuhan, China, April 2005.  (link)

Hugo de Garis, Ce Wang, Thayne Batty, “Building a Cheaper Artificial Brain”, Int. Conf. on Artificial Intelligence and Evolutionary Computation, Wuhan, China, April 2005.  (link)

2004

Hugo de Garis, Thayne Batty, “Multi-Mod : A PC Based Software System for Controlling an Artificial Brain Containing 10,000 Evolved Neural Net Modules”, Congress on Evolutionary Computation (CEC), Portland, Oregon, June 2004.  (link)

Hugo de Garis, Thayne Batty, “Robust Reversible, Nano-Scale, Femto-SecondSwitching Circuits and their Evolution”, Congress on Evolutionary Computation (CEC), Portland, Oregon, June 2004.  (link)

Sree Harsha Aleti, Hugo de Garis, “Evolutionary Algorithms Based on Machine Learning Accelerate Mathematical Function Optimization but not Neural Net Evolution”, Congress on Evolutionary Computation (CEC), Portland, Oregon, June 2004.  (link)

Hugo de Garis, Thayne Batty, “The Evolution of Robust, Reversible, Nano-Scale Femto-Second-Switching Circuits”, NASA/DoD Evolvable Hardware Conference, Seattle, Washington, USA, June, 2004.  (link)

Hugo de Garis, Thayne Batty, “Multi-Mod : A PC Based Software System for Handling the Interconnectivity and Neural Signaling of an Artificial Brain Containing 10,000 Evolved Neural Net Modules”, Int. Joint Conf. Neural Networks (IJCNN), Budapest, Hungary, June, 2004.  (link)

Hugo de Garis, Thayne Batty, “Why Do Machine Learning Based Techniques Fail to Accelerate the Evolution of Neural Networks? Is the Long Bit Length or the Nature of Neural Net Chromosomes to Blame?”  8th. Int. Knowledge-Based Intelligent Information and Engineering Systems, KES 2004, Wellington, New Zealand, Sept 20-25 2004  (link)

2003

Ravichandra Sriram, Hugo de Garis, Zijun Zhang, “A Hybrid Quantum Evolutionary Algorithm”, Genetic and Evolutionary Computation Conference (late breaking papers), Chicago, Illinois, USA, July 14-18, 2003.  (link)

Hugo de Garis, Ravichandra Sriram, Zijun Zhang, “Quantum Computation vs. Evolutionary Computation : Could Evolutionary Computation Become Obsolete?”, Congress on Evolutionary Computation, Canberra, Australia, Dec. 8-12, 2003.  (link)

Yuya Sasaki, Hugo de Garis, “Faster Evolution and Evolvability: Control of Genetic Algorithms Using a Softmax Mutation Method”, Congress on Evolutionary Computation, Canberra, Australia, Dec. 8-12, 2003.  (link)

Jonathan Dinerstein, Nelson Dinerstein, Hugo de Garis, “Automatic Multi-Module Neural Network Evolution in an Artificial Brain”, NASA/DoD Conf. on Evolvable Hardware, Chicago, Illinois, USA, July 9-11, 2003.  (link)

George Holling, Hugo de Garis, “On the Application of Advances in Artificial Intelligence Technologies for the Design of Autonomous Intelligent Robots”, IEEE Electro/Information Technology Conf., Indianapolis, IN, USA, June 5-6, 2003.  (link)

Hugo de Garis, Ravichandra Sriram, “Building Artificial Brains at Universities Using a Purely Software Based Approach”, Int. Joint Conf. on Machine Learning: Models, Technologies & Applications, Las Vegas, Nevada, USA, June 23-26, 2003.  (link)

Hugo de Garis, Ravichandra Sriram, Zijun Zhang, “Quantum Generation of Neural Networks”, Int. Joint Conf. on Neural Networks, Portland, Oregon, USA, July 20-24, 2003.  (link)

Hugo de Garis, Amit Gaur, Ravichandra Sriram, “Quantum versus Evolutionary Systems : Total versus Sampled Search”, 5th. Int. Conf. on Evolvable Systems (ICES), Trondheim, Norway, March 2003.  (link)

Y. Sasaki, Hugo de Garis, “Genetic Neural Networks for Image Classification”, Geoscience and Remote Sensing Symposium, IGARSS 2003  (link)

2002

Sabra Dinerstein, Jonathan Dinerstein, Hugo de Garis, Nelson Dinerstein, “A Data Streaming Approach to Pattern Recognition with Evolvable Neural Networks”, Genetic & Evolutionary Computation Conf. (late breaking papers), July 9-13, 2002, New York, USA.  (link)

Jonathan Dinerstein, Hugo de Garis, Sabra Dinerstein, Nelson Dinerstein, “TiPo – A New Dynamic Neural Net Model for Implementation in a Brain Building Machine”, Genetic & Evolutionary Computation Conf. (late breaking papers), July 9-13, 2002, New York, USA.  (link)

Hugo de Garis, Jonathan Dinerstein, Ravichandra Sriram, “Reversisible Evolvable Networks: A Reversible Evolvable Boolean Network Architecture and Methodology to Overcome the Heat Generation Problem in Molecular Scale Brain Building”, Genetic & Evolutionary Computation Conf. (late breaking papers), July 9-13, 2002, New York, USA.  (link)

Jonathan Dinerstein, Hugo de Garis, “TiPo – A Timed Pointer Neural Net Model with Superior Evolvabilities for Implementation in a Second-Generation Brain-Building Machine BM2”, NASA/DoD Conference on Evolvable Hardware, July 15 – 18, 2002, Washington DC, US.  (link)

Hugo de Garis, Jonathan Dinerstein, Ravichandra Sriram, “Reversible Evolvable Networks : A Reversible Evolvable Boolean Network Architecture and Methodology to Overcome the Heat Generation Problem in Molecular Scale Brain Building”, NASA/DoD Conference on Evolvable Hardware July 15 – 18, 2002, Washington DC, USA.  (link)

Hugo de Garis, “The 2002 NASA/DoD Conference on Evolvable Hardware”, NASA/DoD Conference on Evolvable Hardware July 15 – 18, 2002, Washington DC, USA.  (link)

Hugo de Garis, “DePo : A “Delayed Pointer” Neural Net Model with Superior Evolvabilities for Implementation in a Second Generation Brain Building Machine BM2″, Int. Joint Conf. on Neural Networks, May 12-17, 2002, Honolulu, Hawaii, USA.  (link)

Hugo de Garis, “Evolvability Limits : A Case Study Concerning the Modular Evolvable Capacities (MECs) of a New Neural Net Model for a Second Generation Brain Building Machine BM2”, Congress on Evolutionary Computation, May 25-29, 2002, Honolulu, Hawaii, USA.  (link)

2001

Hugo de Garis, Leo de Penning, Andrzej Buller, Derek Decesare, “First Evolution Experiments on a Physical CAM-Brain Machine (CBM)”, 4th. Int. Conf. Evolvable Systems (ICES2001), Tokyo, Japan, 3-5 Oct 2001.  (link)

Hugo de Garis, Leo de Penning, Andrzej Buller, Derek Decesare, “Early Experiments on the CAM-Brain Machine (CBM)”, 3rd NASA/DoD Workshop on Evolvable Hardware, JPL, Pasadena, CA, USA, July 12-14, 2001.  (link)

Hugo de Garis, Nicholas Macias, “Initial Functional and Architectural Thoughts for a 2nd Generation Brain Building Machine (BM2)”, 3rd NASA/DoD Workshop on Evolvable Hardware, JPL, Pasadena, CA, USA, July 12-14, 2001.  (link)

Hugo de Garis, Andrzej Buller, Leo de Penning, Tomasz Chodakowski, Derek Decesare, “Initial Evolution Results on CAM-Brain Machines (CBMs)”, Int. Conf. Artificial Neural Networks (ICANN2001), Vienna, Austria, August 2001.  (link)

Hugo de Garis, Andrzej Buller, Leo de Penning, Tomasz Chodakowski, Derek Decesare, “Initial Evolvability Experiments on the CAM-Brain Machines (CBMs)”, Int. Conf. on Evolutionary Computation (CEC2001), Seoul, Korea, May 2001.  (link)

Hugo de Garis, “Starbrain and Eurobrain: Starlab’s and Europe’s Artificial Brain Projects : An Overview”, 5th Int. Conf. on Artificial Neural Networks (ICANNGA2001), Prague, Czech Republic, Apr 20, 2001.  (link)

2000

Hugo de Garis, Andrzej Buller, Thierry Dob, Jean Honlet, Padma Guttikonda, Derek Decesare, “Building Multimodule Systems with Unlimited Evolvable Capacities from Modules with Limited Evolvable Capacities (MECs)”, 2nd DoD/NASA Workshop on Evolvable Hardware EH2000, Silicon Valley, California, USA, July 2000.  (link)

Hugo de Garis, Michael Korkin, Padma Guttikonda, Donald Cooley, “Evolving Detectors of 2D Patterns on a Simulated CAM-Brain Machine, an Evolvable Hardware Tool for Building a 75 Million Neuron Artificial Brain”, SPIE’s 45th Annual Meeting, Int. Symposium on Optical Science and Technology, San Diego, USA, July/August 2000.  (link)

Hugo de Garis, Michael Korkin, Padma Guttikonda, Donald Cooley, “Simulating the Evolution of 2D Pattern Recognition on the CAM-Brain Machine, an Evolvable Hardware Tool for Building a 75 Million Neuron Artificial Brain”, Int. Joint Conf. on Neural Networks, Como, Italy, summer, 2000.  (link)

1999

Hugo de Garis, Michael Korkin, Felix Gers, Norberto Eiji Nawa, Michael Hough, “CAM-BRAIN : ATR’s Artificial Brain Project : An Overview”  (link)

Hugo de Garis, Andrzej Buller, Michael Korkin, Felix Gers, Eiji Nawa, Michael Hough, “ATR’s Artificial Brain (“CAM-Brain”) Project : A Sampler of What Individual CAMBrain “CoDi-1Bit” Model Evolved Neural Net Circuit Modules Can Do with Digital and Analog I/O”, NASA/JPL Evolvable Hardware Workshop, Pasadena, CA, USA, July 19- 21, 1999.  (link)

Hugo de Garis, Felix Gers, Michael Korkin, Eiji Nawa, Michael Hough, “Evolving an Optimal De/Convolution Function for the Neural Net Modules of ATR’s CAM-Brain Machine (CBM)”, Int. Joint Conf. Neural Networks, Washington DC, USA, July 10-16, 1999.  (link)

Hugo de Garis, Felix Gers, Michael Korkin, Michael Hough, “ATR’s Artificial Brain (CAM-Brain) Project : A Sample of What Individual CoDi-1Bit Model Evolved Neural Net Modules Can Do”, Congress on Evolutionary Computation, Washington DC, USA, July 6-9, 1999.  (link)

Michael Korkin, Hugo de Garis, Eiji Nawa, William Dee Rieken, “ATR’s Artificial Brain Project : CAM-Brain Machine (CBM) and Robot Kitten (Robokoneko) Issues”, Int. Conf. on Artificial Neural Networks and Genetic Algorithms, Slovenia, Europe, April 1999.  (link)

Michael Hough, Hugo de Garis, Michael Korkin, Felix Gers, Eiji Nawa, “Spiker: Analog Waveform to Digital Spiketrain Conversion in ATR’s Artificial Brain “CAM-Brain” Project”, Int. Conf. on Robotics and Artificial Life, Beppu, Japan, January 1999.  (link)

Hugo de Garis, Michael Korkin, Felix Gers, Eiji Nawa, Michael Hough, “ATR’s Artificial Brain (CAM-Brain) Project : A Sample of What Individual CoDi-1Bit Model Evolved Neural Net Modules Can Do”, Int. Conf. on Robotics and Artificial Life, Beppu, Japan, January 1999.  (link)

1998

Hugo de Garis, Michael Korkin, Norberto Nawa, “ATR’s Artificial Brain Project : CAMBrain Machine (CBM) and Robot Kitten (Robokoneko) Issues”, Information Processing Society of Japan (IPSJ) Magazine, Tokyo, 1998.  (link)

Norberto Eiji Nawa, Michael Korkin, Hugo de Garis, “Digital Spikes : Information Representation in ATR’s CAM-Brain Machine”, 5th. Int. Conf. on Neural Information Processing, (ICONIP’98), Kitakyushu, Japan, October 1998.  (link)

Michael Korkin, Hugo de Garis, Norberto Eiji Nawa, “A ‘Spike Interval Information Coding’ Representation for ATR’s CAM-Brain Machine (CBM)”, Int. Conf. on Evolvable Systems, Sept. 24-26, 1998, Lausanne, Switzerland.  (link)

Norberto Eiji Nawa, Michael Korkin, Hugo de Garis, “ATR’s CAM-Brain Project : The Evolution of Large-Scale Recurrent Neural Network Modules”, Int. Conf. on Parallel and Distributed Processing Techniques and Applications, July 13-16, 1998, Las Vegas, USA.  (link)

Andrzej Buller, Hugo de Garis, “Brain-Building Strategy : Some Remarks and Questions”, Symposium on Intelligent Information Systems, June 15-19, 1998, Malbork, Poland.  (link)

Norberto Eiji Nawa, Hugo de Garis, Felix Gers, Michael Korkin, “ATR’s CAM-Brain Machine (CBM) Simulation Results and Representation Issues”, Genetic Programming Conference, July 1998, USA.  (link)

Hugo de Garis, Felix Gers, Michael Korkin, Arvin Agah, Norberto Eiji Nawa, “ATR’s Artificial Brain (CAM-Brain) Project : A Progress Report”, Special Session on “Evolutionary Algorithms for Large-Scale Problems”, Int. Conf. Evolutionary Computation, Anchorage, Alaska, May 1998.  (link)

Hugo de Garis, Felix Gers, Michael Korkin, Arvin Agah, Norberto Eiji Nawa, “Building an Artificial Brain Using an FPGA Based ‘CAM-Brain Machine'”, Int. Symposium on Artificial Life and Robotics, Jan. 1998, Beppu, Oita, Japan.  (link)

Felix Gers, Hugo de Garis, Michael Korkin, “CoDi-1Bit : A Cellular Automata Based Neural Net Model Simple Enough to be Implemented in Evolvable Hardware”, Int. Symposium on Artificial Life and Robotics, Jan. 1998, Beppu, Oita, Japan.  (link)

1997

Felix Gers, Hugo de Garis, Michael Korkin, “CoDi-1Bit : A Simplified Cellular Automata Based Neuron Model”, AE97, Artificial Evolution Conference, Nimes, France, Oct 1997.  (link)

Hugo de Garis, Lishan Kang, Qiming He, Zhengjun Pan, Masahiro Ootani, Edmund Roland, “Million Module Neural Systems Evolution : The Next Step in ATR’s Billion Neuron Artificial Brain (CAM-Brain) Project”, Artificial Evolution Conference, Nimes, France, Oct 1997.  (link)

Hugo de Garis, Sung-Bae Cho, Michael Korkin, Arvin Agah, “Designing an Artificial Brain with 10,000 Evolved Neural Network Modules : Initial Thoughts”, Int. Joint Conf. on Artificial Intelligence Workshop on Evolutionary Systems, August 1997, Nagoya, Japan.  (link)

Michael Korkin, Hugo de Garis, Felix Gers, Hitoshi Hemmi, “CBM (CAM-Brain Machine) : A Hardware Tool which Evolves a Neural Net Module in a Fraction of a Second and Runs a Million Neuron Artificial Brain in Real Time”, Genetic Programming Conference, July 1997, Stanford, USA.  (link)

Hugo de Garis, “One Chip Evolvable Hardware : 1C-EHW”, Int. Conf. on Artificial Neural Networks and Genetic Algorithms, April 1997, Norwich, UK.  (link)

1996

Gers F.A. & de Garis H., “Porting a Cellular Automata Based Artificial Brain to MIT’s Cellular Automata Machine CAM-8”, Int. Conf. on Simulated Evolution and Learning, November 1996, Taejon, Korea.  (link)

Gers F. & de Garis H., “CAM-Brain : A New Model for ATR’s Cellular Automata Based Artificial Brain Project”, Int. Conf. on Evolvable Systems, October 1996, Tsukuba, Japan.  (link)

Hugo de Garis, “CAM-BRAIN : ATR’s Billion Neuron Artificial Brain Project”, Int. Conf. on Neural Information Processing, September 1996, Hong Kong, China.  (link)

Hugo de Garis, “CAM-BRAIN : ATR’s Billion Neuron Artificial Brain Project : A Three Year Progress Report”, Int. Conf. on Evolutionary Computation, May 1996, Nagoya, Japan.  (link)

Hugo de Garis, “CAM-Brain: ATR’s Billion Neuron Artificial Brain Project”, Multistrategy Learning Workshop, May 1996, West Virginia, USA.  (link)

Hugo de Garis, “CAM-Brain: ATR’s Billion Neuron Artificial Brain Project : A Three Year Progress Report”, Int. Conf. on Artificial Life and Robotics, February, 1996, Beppu, Japan.  (link)

H. Iba, Hugo de Garis, “Extending Genetic Programming with Recombinative Guidance”  Advances in Genetic Programming, MIT Press, pp 69-88 (link)

1995

Hugo de Garis, “CAM-Brain: The Evolutionary Engineering of a Billion Neuron Artificial Brain by 2001 which Grows/Evolves at Electronic Speeds inside a Cellular Automata Machine (CAM)”, Int. Conf. on Artificial Neural Networks and Genetic Algorithms, April, 1995, Ales, France.  (link)

Hugo de Garis, “CAM-Brain: The Evolutionary Engineering of a Billion Neuron Artificial Brain by 2001 which Grows/Evolves at Electronic Speeds inside a Cellular Automata Machine (CAM)”, Workshop on Biologically Inspired and Evolutionary Systems, February 1995, Tokyo, Japan.  (link)

Hugo de Garis, “CAM-Brain : The Evolutionary Engineering of a Billion Neuron Artificial Brain by 2001 which Grows/Evolves at Electronic Speeds inside a Cellular Automata Machine (CAM)”, World Wise Men Workshop on Soft Computing, 1995, Nagoya, Japan.  (link)

Hugo de Garis, “CAM-Brain : The Evolutionary Engineering of a Billion Neuron Artificial Brain by 2001 which Grows/Evolves at Electronic Speeds inside a Cellular Automata Machine (CAM)”, 2nd. Int. Symposium on Neuroinformatics and Neurocomputers, 10/1995  (link)  (link2)  (link3)

Hitoshi Iba, Hugo de Garis “Temporal Data Processing Using Genetic Programming”, Int. Conf. on Genetic Algorithms ICGA, pp 279-286  (link)

Hugo de Garis, “CAM-BRAIN ATR’s Billion Neuron Artificial Brain Project – A Three Year Progress Report”, Fuzzy Logic, Neural Networks, and Evolutionary Computation, IEEE/Nagoya University World Wisepersons Workshop, Nagoya, Japan, Nov. 14-15 1995, Selected Papers 01/1995  (link)

Iba H., Sato T., Hugo de Garis, “Recombination Guidance for Numerical Genetic Programming”, Int. Conf. on Evolutionary Computation, 1995  (link)

1994

Hugo de Garis, “The CAM-BRAIN Project : The Evolutionary Engineering of a Billion Neuron Artificial Brain which Grows/Evolves at Electronic Speeds in a Cellular Automata Machine”, Int. Conf. on Neural Information Processing Systems, October 1994, Seoul, Korea.  (link)

Hugo de Garis, “CAM-Brain: Towards the Genetic Programming of a Billion Neuron Artificial Brain which Grows/Evolves at Electronic Speeds in a Cellular Automata Machine”, Int. Symposium on Robotics and Manufacturing, August 1994, Maui, Hawaii, USA.  (link)

Hugo de Garis, “CAM-Brain Issues: Implementation and Performance-Scaling Issues Concerning the Genetic Programming of a Cellular Automata Based Artificial Brain”, Int. Conf. on Evolutionary Computation, June 1994, Orlando, Florida, USA.  (link)

Hugo de Garis, “Implementation and Performance-Scaling Issues Concerning the Genetic Programming of a Cellular Automata Based Artificial Brain”, IEEE World Congress on Computational Intelligence, 01/1994  (link)

Hugo de Garis, “CAM-Brain: The Genetic Programming of an Artificial Brain which Grows/Evolves at Electronic Speeds in a Cellular Automata Machine”, Int. Conf. on Neural Networks, June 1994, Orlando, Florida, USA.  (link)

Hugo de Garis, “The CAM-Brain Project : The Genetic Programming of a Billion Neuron Artificial Brain which Grows/Evolves at Electronic Speeds in a Cellular Automata Machine”, Conf. on Parallel Processing and Artificial Intelligence Conference, Tokyo, Japan, 1994.  (link)

Hugo de Garis, “Growing an Artificial Brain : The Genetic Programming of Million-Neural-Net-Module Artificial Brains with Trillion Cell Cellular Automata Machines”, 3rd. Annual Conference on Evolutionary Programming, February 1994, San Diego, CA, USA.  (link)

Hitoshi Iba, Hugo de Garis, “Genetic Programming Using a Minimum Description Length Principle”, 1994  (link)

Hitoshi Iba, Taisuke Sato, Hugo de Garis, “System Identification Approach to Genetic Programming”, Int. Conf. on Evolutionary Computation (ICEC), pp 401-406, 1994  (link)

Hitoshi Iba, Hugo de Garis, Taisuke Sato, “Genetic Programming with Local Hill-Climbing”, Parallel Problem Solving from Nature, (PPSN), pp 302-311, 1994  (link)

Hitoshi Iba, Hugo de Garis, Taisuke Sato, “Genetic Programming using Local Hill-Climbing”, 1994  (link)

1993

Hugo de Garis, “Evolvable Hardware : Genetic Programming of a Darwin Machine”, Int. Conf. on Artificial Neural Nets and Genetic Algorithms, 1993, Innsbruck, Austria.  (link)

Hugo de Garis, “Neurite Networks : The Genetic Programming of Cellular Automata Based Neural Nets Which Grow”, Int. Joint Conf. on Neural Networks, October 1993, Nagoya, Japan.  (link)

Hugo de Garis, “Artificial Life : Growing an Artificial Brain with a Million Neural Net Modules Inside a Trillion Cell Cellular Automata Machine”, 4th. Int. Symposium on Micro Machine & Human Science, October 1993, Nagoya, Japan.  (link)

Hugo de Garis, “Incremental Evolution of Neural Nets : Genetic Programming in Incremental Steps”, World Congress on Neural Networks, July 1993, Portland, Oregon, USA.  (link)

Hugo de Garis, “Evolving a Replicator : The Genetic Programming of Self Reproduction in Cellular Automata”, 2nd. European Conference on Artificial Life, May 1993, Brussels, Belgium.  (link)

Hugo de Garis, “Multistrategy Learning in Neural Nets : An Incremental Approach to Genetic Programming”, Multistrategy Learning Workshop, May 1993, West Virginia, USA.  (link)

Tetsuya Higuchi, Tatsuya Niwa, Toshio Tanaka, Hitoshi Iba, Hugo de Garis, Tatsumi Furuya, “Evolving Hardware with Genetic Learning : A First Step towards Building a Darwin Machine”, From Animals to Animats 2, Proceedings of the Int. Conf. on Simulation of Adaptive Behavior, 1993  (link)

T Higuchi, T Niwa, T Tanaka, H Iba, Hugo de Garis, T Furuya, “Evolvable Hardware : Genetic-Based Generation of Electric Circuitry at Gate and Hardware Description Language (HDL) Levels”, 1993  (link)

Hitoshi Iba, Tetsuya Higuchi, Hugo de Garis, Taisuke Sato, “Evolutionary Learning Strategy Using Bug-Based Search”, Int. Joint Conf. on Artificial Intelligence (IJCAI), pp 960-966, 1993  (link)

1992

Hugo de Garis, “Artificial Nervous Systems : The Genetic Programming of ProductionRule-GenNet Circuits”, Int. Joint Conf. on Neural Networks, November 1992, Beijing, China.  (link)

Hugo de Garis, Hitoshi Iba, Tatsumi Furuya, “Differentiable Chromosomes : The Genetic Programming of Switchable Shape-Genes”, Conf on Parallel Problem Solving from Nature (PPSN), Sept. 1992, Brussels, Belgium, pp 495-504  (link)

Hugo de Garis, “Artificial Embryology : The Genetic Programming of Cellular Differentiation”, Artificial Life III Workshop, June 1992, Santa Fe, New Mexico, USA.  (link)

Hugo de Garis, “Exploring GenNet Behaviors : Using Genetic Programming to Explore Qualitatively New Behaviors in Recurrent Neural Networks”, Int. Joint Conf. on Neural Networks, June 1992, Baltimore, USA.  (link)

Hitoshi Iba, Takio Kunta, Hugo de Garis, Taisuke Sato, “System Identification Using Structured Genetic Algorithms”  5th. Int. Conf. on Genetic Algorithms, San Francisco, CA, USA, pp 279-286  (link)

T Higuchi, T Niwa, T Tanaka, H Iba, Hugo de Garis, T Furuya, “Evolvable Hardware with Genetic Learning : A First Step towards Building a Darwin Machine”, From Animals to Animats 2, 2nd. Int. Conf. on Simulation of Adaptive Behavior (SAB), 1992  (link)

1991

Hugo de Garis, “Steerable GenNets: The Genetic Programming of Controllable Behaviors in GenNets”, 1st. European Conference on Artificial Life, 1991, Paris, France.  (link)

Hugo de Garis, “GenNets: Genetically Programmed Neural Nets : Using the Genetic Algorithm to Train Neural Nets Whose Inputs and/or Outputs Vary in Time”, Int. Joint Conf. on Neural Networks, November 1991, Singapore.  (link)

Hugo de Garis, “Using the Genetic Algorithm to Train Time Dependent Behaviors in Neural Networks”, Multistrategy Learning Workshop, October 1991, West Virginia, USA.  (link)

Hugo de Garis, “The LIZZY Project : Genetically Programming an Artificial Nervous System”, Int. Conf. on Artificial Neural Networks, June 1991, Espoo, Finland.  (link)

Hugo de Garis, “GENBLOCK : Block Diagonalization of Very Large Binary Matrices Using the Genetic Algorithm”, 5th. Int. Symposium on Applied Stochastic Models and Data Analysis, April 1991, Granada, Spain.  (link)

Hugo de Garis, “Genetic Control : Building Artificial Nervous Systems and Artificial Embryos”, 1991 Benelux Meeting on Systems and Control, March 1991, Blankenberge, Belgium.  (link)

Hugo de Garis, “Genetic Programming : Artificial Nervous Systems, Artificial Embryos and Embryological Electronics”, in “Parallel Problem Solving from Nature”, Lecture Notes in Computer Science 496, Springer Verlag, 1991.  (link)

1990

Hugo de Garis, “Genetic Programming : Evolution of Time Dependent Neural Network Modules Which Teach a Pair of Stick Legs to Walk”, 9th. European Conf. on Artificial Intelligence, August 1990, Stockholm, Sweden.  (link)

Hugo de Garis, “Genetic Programming : Building Artificial Nervous Systems Using Genetically Programmed Neural Network Modules”, in Porter B.W. & Mooney R.J. eds., Proc. 7th. Int. Conf. on Machine Learning, pp 132-139, Morgan Kaufmann.  (link)

Hugo de Garis, “Brain Building with GenNets”, Int. Neural Networks Conf., July 1990, Paris, France.  (link)

Hugo de Garis, “Genetic Programming : Building Nanobrains with Genetically Programmed Neural Network Modules”, Int. Joint Conf. on Neural Networks, June 1990, San Diego, California, USA.  (link)

Hugo de Garis, “Genetic Programming : Modular Evolution for Darwin Machines”, Int. Joint Conf. on Neural Networks, January 1990, Washington DC, USA.  (link)

1989

Hugo de Garis, “Compo: Conceptual Clustering with Competitive Learning and the Genetic Algorithm”, 1st. IEE Conference on Artificial Neural Networks, October 1989, London, UK.  (link)

1988

Hugo de Garis, “Minimum Length Classification Rules for Qualitative Data”, 4th Int. Symposium on Applied Stochastic Models and Data Analysis, December 1988, Nancy, France.  (link)

Other Publications (Books, Book Chapters, and Others)

Book Chapters (16)

16) Hugo de Garis, Chen Xiaoxi, Ben Goertzel, “The China Brain Project : An Evolutionary Engineering Approach to Building China’s First Artificial Brain Containing 10,000s of Evolved Neural Net Minsky-Like Agents”, Ch. 19 in the book, “Kansei Software Engineering”, edited by SHI Minghui et al. 2010  (link)

15) Hugo de Garis, “Artificial Brains: An Evolved Neural Net Module Approach”, in book “Computational Intelligence: A Compendium (Studies in Computational Intelligence), pp 797-848,  by John Fulcher and Lakhmi C. Jain (eds.), Springer, 2008  (link)

14) Hugo de Garis, Sam Halioris, “The Artilect Debate : Why Build Superhuman Machines, and Why Not?”, in book “Parsing the Turing Test: Philosophical and Methodological Issues in the Quest for the Thinking Computer”, Robert Epstein, Gary Roberts, and Grace Beber (eds.), Springer-Verlag, 2008.  (link)

13) Hugo de Garis, “Artificial Brains”, in book “Artificial General Intelligence (Cognitive Technologies)” by Ben Goertzel and Cassio Pennachin (eds.), Springer, 2007.   (link)

12) Sam Halioris, Hugo de Garis, “The Dominant Species Debate”  in book “The Turing Test Sourcebook : Philosophical and Methodological Issues in the Quest of the Thinking Computer, R. Epstein, G. I. Peters (eds.), Kluwer Academic Press, 2004. (link)

11) Hugo de Garis, Norberto Eiji Nawa, Andrzej Buller, Michael Korkin, Felix Gers, Michael Hough, “Evolution of Neural Network Modules: ATR’s Artificial Brain Project”, Ch. 7 in book “Evolution of Engineering and Information Systems and their Applications”, Lakhmi C. Jain (Editor), CRC Press, 1999.  (link)

10) Hugo de Garis, “Artificial Embryology and Cellular Differentiation”, Ch. 12 in book “Evolutionary Design by Computers”, (ed.) Peter J. Bentley, pp 281-295, Morgan Kaufmann, 1999.  (link)

9) Felix Gers, Hugo de Garis, “Evolution of Neural Structures Based on Cellular Automata”, Ch. 9 in book “Soft Computing Techniques in Knowledge-based Intelligent Engineering Systems : Approaches and Applications”, Lakhmi C. Jain (Editor), PhysicaVerlag, 1997.  (link)

8) Hugo de Garis, “Evolutionary Engineering in System Design”, Ch 6 in book “Hybrid Intelligent Engineering Systems”, L.C. Jain & R.K. Jain (eds.), World Scientific, 1997.  (link)

7) Hugo de Garis, “CAM-BRAIN : The Evolutionary Engineering of a Billion Neuron Artificial Brain by 2001 which Grows/Evolves at Electronic Speeds inside a Cellular Automata Machine (CAM)”, in book “Fuzzy Logic, Neural Networks, and Evolutionary Computation”, IEEE/Nagoya-University World Wisepersons Workshop, Nagoya, Japan, November 1995, Selected Papers, Lecture Notes in Artificial Intelligence 1152, Takeshi Furuhashi, Yoshiki Uchikawa (eds.), Springer Verlag, pp 215-243, 1996.  (link)

6) Hugo de Garis, “Brain Building for a Biological Robot : How to Genetically Program a Billion Neuron Artificial Brain which Grows/Evolves at Electronic Speeds inside a Cellular Automata Machine”, Ch 3 in book “Neural Networks for Robotic Control : Theory and Applications”, A.M.S. Zalzala and A.S. Morris (eds.), Ellis Horwood, 1996.  (link)

5) Hugo de Garis, “Cam-Brain: The Evolutionary Engineering of a Billion Neuron Artificial Brain by 2001 which Grows/Evolves at Electronic Speeds inside a Cellular Automata Machine (CAM)”, in book “Towards Evolvable Hardware : The Evolutionary Engineering Approach”, E. Sanchez & M. Tomassini (eds.), Lecture Notes in Computer Science, No. 1062, Springer Verlag, 1996.  (link)

4) Hugo de Garis, “Genetic Programming : Evolutionary Approaches to Multistrategy Learning”, Ch.21 in book “Machine Learning : A Multistrategy Approach, Vol. 4”, eds. R.S.Michalski, and G. Tecuci, Morgan Kauffman, 1994.  (link)

3) Hugo de Garis, “Artificial Embryology : The Genetic Programming of an Artificial Embryo”, Ch. 14 in book “Dynamic, Genetic, and Chaotic Programming”, ed. Branko Soucek and the IRIS Group, Wiley, 1992.  (link)

2) Hugo de Garis, “Brain Building : The Genetic Programming of Artificial Nervous Systems and Artificial Embryos”, in book “Progress in Neural Networks, Vol. 4”, ed. O.M. Omidvar, Ablex Publ. Corp., 1991.  (link)

1) Hugo de Garis, “Genetic Programming : Building Artificial Nervous Systems with Genetically Programmed Neural Network Modules”, Ch. 8 in book “Neural and Intelligent Systems Integration”, ed. Prof. Branko Soucek, Wiley, 1991.  (link)

===

Hugo de Garis, “CHINA BRAIN PROJECT” Building China’s First Artificial Brain, (PPt slide show)  (link)

Hugo de Garis et al, “The XILINX Club : A World Survey of Evolvable Hardware Research Projects Using Xilinx’s Programmable FPGA Chips”  (link)

Hugo de Garis, Ravichandra Sriram, Zijun Zhang, “Quantum Evolution of Neural Networks”  (link)

Hugo de Garis, Ravichandra Sriram, Zijun Zhang, “Accelerating Evolutionary Computation with Quantum Computation : A Case Study in Neural Network Evolution”  (link)

Hugo de Garis, “Topological Quantum Computing : The TQC Shock Effect and Its Impact on University Computer Science Teaching”  (link)

Hugo de Garis, Ravichandra Sriram, “Software-Based Brain-Building at Universities”  (link)

Hugo de Garis, Michael Korkin, “The CAM-Brain Machine (CBM) : Real Time Evolution and Update of a 75 Million Neuron FPGA-Based Artificial Brain”  (link)

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

%d bloggers like this: