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2020 – today
- 2021
[b1]Hugo de Garis:
Artificial Brains - An Evolved Neural Net Module Approach. WorldScientific 2021, ISBN 9789814304276, pp. 1-400
2010 – 2019
- 2010
- [j24]Hugo de Garis, Ben Goertzel:
Guest Editorial: Special issue on artificial brains. Neurocomputing 74(1-3): 1-2 (2010) - [j23]Hugo de Garis, Shuo Chen, Ben Goertzel, Ruiting Lian:
A world survey of artificial brain projects, Part I: Large-scale brain simulations. Neurocomputing 74(1-3): 3-29 (2010) - [j22]Ben Goertzel, Ruiting Lian, Itamar Arel, Hugo de Garis, Shuo Chen:
A world survey of artificial brain projects, Part II: Biologically inspired cognitive architectures. Neurocomputing 74(1-3): 30-49 (2010) - [c68]Yingxu Wang, Witold Pedrycz, George Baciu
, Ping Chen, Hugo de Garis, Zhongzhi Shi, Guoyin Wang, Patrick S. P. Wang, Yiyu Yao:
Perspectives on cognitive computing and applications: Summary of plenary Panel I of IEEE ICCI'10. IEEE ICCI 2010: 8-16 - [c67]Hugo de Garis, Chen Xiaoxi, Yang Ye, Chen Shuo, Ben Goertzel, Ruiting Lian:
Object/gesture recognition software in the "China Brain Project". IEEE ICCI 2010: 40-45
2000 – 2009
- 2009
- [j21]Hugo de Garis, Ben Goertzel:
Report on the First Conference on Artificial General Intelligence (AGI-08). AI Mag. 30(1): 121-123 (2009) - [j20]Hugo de Garis, Ben Goertzel:
Report on the 2nd International Conference on Artificial General Intelligence (AGI-09). AI Mag. 30(4): 115-116 (2009) - 2008
- [c66]Ben Goertzel, Hugo de Garis:
XIA-MAN: An Extensible, Integrative Architecture for Intelligent Humanoid Robotics. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures 2008: 65-74 - [c65]Hugo de Garis, Jian Yu Tang, Zhiyong Huang, Lu Bai, Cong Chen, Shuo Chen, Junfei Guo, Xianjin Tan, Hao Tian, Xiaohan Tian, Xianjian Wu, Ye Xiong, Xiangqian Yu, Di Huang:
The China-Brain Project: Building China's Artificial Brain Using an Evolved Neural Net Module Approach. AGI 2008: 107-121 - [c64]Hugo de Garis:
The Artilect War: Cosmists vs. Terrans. A Bitter Controversy Concerning Whether Humanity Should Build Godlike Massively Intelligent Machines. AGI 2008: 437-447 - [c63]Hugo de Garis, Jian Yu Tang, Zhiyong Huang, Lu Bai, Cong Chen, Shuo Chen, Junfei Guo, Xianjin Tan, Tian Hao, Xiaohan Tian, Xianjian Wu, Ye Xiong, Yu Xianggian, Di Huang:
The "China-brain" project A four year, 3 million RMB project to build a 15, 000 evolved neural net module artificial brain in China. IEEE Congress on Evolutionary Computation 2008: 503-510 - [c62]Hugo de Garis:
A "PARtially COnnected Neural Evolutionary" model serving as the basis for building China's first artificial brain. ISKE 2008: 9-12 - [p2]Hugo de Garis:
Artificial Brains: An Evolved Neural Net Module Approach. Computational Intelligence: A Compendium 2008: 797-848 - 2007
- [c61]Hugo de Garis, Jian Yu Tang, Di Huang:
Artificial Brains - A Cheap Method for Speeding the Evolution of Neural Network Modules for Artificial Brain Building. IJCNN 2007: 2835-2839 - [c60]Hui Shi, Sanyou Zeng, Hui Wang, Gang Liu, Guang Chen, Hugo de Garis, Lishan Kang:
A Novel Lower-Dimensional-Search Algorithm for Numerical Optimization. ISICA 2007: 214-223 - [p1]Hugo de Garis:
Artificial Brains. Artificial General Intelligence 2007: 159-174 - 2006
- [c59]Hugo de Garis, Liu Rui, Di Huang, Hu Jing:
Artificial Brains. An Inexpensive Method for Accelerating the Evolution of Neural Network Modules for Building Artificial Brains. AGI 2006: 144-158 - [c58]Eliezer Yudkowsky, Jeff Medina, Karl H. Pribram, Ari Heljakka, Hugo de Garis, Stephan Vladimir Bugaj:
How Do We More Greatly Ensure Responsible AGI? AGI 2006: 276-282 - [c57]Stan Franklin, Hugo de Garis, Sam S. Adams, Eric B. Baum, Pei Wang, Steve Grand, Ben Goertzel, Phil Goetz:
Panel Discussion: What are the bottlenecks, and how soon to AGI? AGI 2006: 283-293 - [c56]Hugo de Garis:
Hardware Accelerators for Evolving Building Block Modules for Artificial Brains. AHS 2006: 222-224 - [c55]Sangyou Zeng, Guang Chen, Liang Zheng, Hui Shi, Hugo de Garis, Lixin Ding, Lishan Kang:
A Dynamic Multi-Objective Evolutionary Algorithm Based on an Orthogonal Design. IEEE Congress on Evolutionary Computation 2006: 573-580 - [c54]Sanyou Zeng, Hui Shi, Guang Chen, Hugo de Garis, Lishan Kang, Lixin Ding:
Orthogonal Dynamic Hill-Climbing Algorithm for Dynamic Optimization Problems. IEEE Congress on Evolutionary Computation 2006: 1331-1338 - [c53]Sanyou Zeng, Rui Wang, Hui Shi, Guang Chen, Hugo de Garis, Lishan Kang, Lixin Ding:
Both robust computation and mutation operation in dynamic evolutionary algorithm are based on orthogonal design. GECCO 2006: 1437-1438 - 2005
- [j19]Hugo de Garis:
Conference Review: Evolvable Hardware 2005. Evol. Comput. 13(4): 545-550 (2005) - [c52]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 2005: 1188-1195 - [c51]Hugo de Garis, Thayne Batty, Wang Ce:
FemtoComputing: New Architectural Ideas for Procedural and Evolutionary Computers Whose Components Switch in Femto-Seconds. Evolvable Hardware 2005: 301-306 - 2004
- [j18]Hugo de Garis:
Introduction to Evolutionary Computing. Evol. Comput. 12(2): 269-271 (2004) - [j17]Hugo de Garis:
Conference Review: Evolvable Hardware 2004. The 2004 NASA/DoD Conference on Evolvable Hardware. Ricardo S. Zebulum, David Gwaltney, Gregory Hornby, Didier Keymeulen, Jason Lohn, Adrian Stoica, eds., Seattle, Washington, USA. IEEE Computer Society Press, 2004, ISBN 0-7695-2145-2, pp 352). Evol. Comput. 12(3): 397-402 (2004) - [j16]Zhuo Kang, Li Yan, Hugo de Garis, David J. Evans, Lishan Kang:
Multi-modal function optimization with the ZEDS (zoomed evolutionary dual strategy) algorithmzoomed evolutionary algorithm. Int. J. Comput. Math. 81(6): 675-684 (2004) - [j15]Jonathan Dinerstein, Parris K. Egbert, Hugo de Garis, Nelson T. Dinerstein:
Fast and learnable behavioral and cognitive modeling for virtual character animation. Comput. Animat. Virtual Worlds 15(2): 95-108 (2004) - [c50]Hugo de Garis, Thayne Batty:
Robust, reversible, nano-scale, femto-second-switching circuits and their evolution. IEEE Congress on Evolutionary Computation 2004: 639-645 - [c49]Hugo de Garis, Thayne Batty:
"MULTI-MOD": a PC based software system for controlling an artificial brain containing 10, 000 evolved neural net modules. IEEE Congress on Evolutionary Computation 2004: 816-819 - [c48]Sree Harsha Aleti, Hugo de Garis:
Evolutionary algorithms based on machine learning accelerate mathematical function optimization but not neural net evolution. IEEE Congress on Evolutionary Computation 2004: 1172-1177 - [c47]Hugo de Garis, Thayne Batty:
The Evolution of Robust, Reversible, Nano-Scale, Femto-Second-Switching Circuits. Evolvable Hardware 2004: 291-297 - [c46]Hugo de Garis, Thayne Batty:
Why Do Machine Learning Based Techniques Fail to Accelerate the Evolution of Neural Networks? KES 2004: 905-913 - 2003
- [c45]Yuya Sasaki, Hugo de Garis:
Faster evolution and evolvability control of genetic algorithms using a Softmax Mutation method. IEEE Congress on Evolutionary Computation 2003: 886-891 - [c44]Jonathan Dinerstein, Nelson T. Dinerstein, Hugo de Garis:
Automatic Multi-Module Neural Network Evolution in an Artificial Brain. Evolvable Hardware 2003: 283-286 - [c43]Hugo de Garis, Amit Gaur, Ravichandra Sriram:
Quantum versus Evolutionary Systems. Total versus Sampled Search. ICES 2003: 457-465 - [c42]Yuya Sasaki, Hugo de Garis, Paul W. Box:
Genetic neural networks for image classification. IGARSS 2003: 3522-3524 - [c41]Hugo de Garis, Ravichandra Sriram:
Building Artificial Brains at Universities Using a Purely Software Based Approach. MLMTA 2003: 192-196 - 2002
- [j14]Yan Li, Lishan Kang, Hugo de Garis, Zhuo Kang, Pu Liu:
A Robust Algorithm for Solving Nonlinear Programming Problems. Int. J. Comput. Math. 79(5): 523-536 (2002) - [j13]Hugo de Garis:
Special issue on Evolutionary Neural Systems. Neurocomputing 42(1-4): 1-8 (2002) - [j12]Hugo de Garis, Michael Korkin:
The CAM-Brain Machine (CBM): an FPGA-based hardware tool that evolves a 1000 neuron-net circuit module in seconds and updates a 75 million neuron artificial brain for real-time robot control. Neurocomputing 42(1-4): 35-68 (2002) - [j11]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 Sci. Comput. 10(2): 179-188 (2002) - [c40]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. IEEE Congress on Evolutionary Computation 2002: 454-459 - [c39]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. Evolvable Hardware 2002: 274-275 - [c38]Jonathan Dinerstein, Hugo de Garis:
"TiPo" - A "Timed Pointer" Neural Net Model with Superior Evolvabilities for Implementation in a Second-Generation Brain-Building Machine BM. Evolvable Hardware 2002: 276-278 - [c37]Hugo de Garis, Jonathan Dinerstein, Ravichandra Sriram:
A Reversible Evolvable Network Architecture and Methodology to Overcome the Heat Generation Problem in Molecular Scale Brain Building. GECCO Late Breaking Papers 2002: 83-90 - [c36]Jonathan Dinerstein, Hugo de Garis, Sabra Dinerstein, Nelson T. Dinerstein:
TiPo - A New Dynamic Neural Net Model for Implementation in a Brain Building Machine. GECCO Late Breaking Papers 2002: 99-103 - [c35]Sabra Dinerstein, Jonathan Dinerstein, Hugo de Garis, Nelson T. Dinerstein:
A Data Streaming Approach to Pattern Recognition with Evolvable Neural Networks. GECCO Late Breaking Papers 2002: 104-108 - [c34]Lishan Kang, Zhou Kang, Yan Li, Hugo de Garis:
A Two Level Evolutionary Modeling System For Financial Data. GECCO 2002: 1113-1118 - 2001
- [j10]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. Auton. Robots 10(3): 235-249 (2001) - [j9]Hugo de Garis:
The second NASA/DoD workshop on evolvable hardware. IEEE Trans. Evol. Comput. 5(3): 298-302 (2001) - [c33]Hugo de Garis, Andrzej Buller, Leo de Penning, Tomasz Chodakowski, Michael Korkin, Gary Fehr, Derek Decesare:
Initial evolvability experiments on the CAM-brain machines (CBMs). CEC 2001: 635-642 - [c32]Hugo de Garis, Leo de Penning, Andrzej Buller, Derek Decesare:
Early Experiments On The Cam-Brain Machine (Cbm). Evolvable Hardware 2001: 211-222 - [c31]Hugo de Garis, Andrzej Buller, Leo de Penning, Tomasz Chodakowski, Derek Decesare:
Initial Evolution Results on CAM-Brain Machines (CBMs). ICANN 2001: 814-819 - 2000
- [j8]Hugo de Garis, Michael Korkin, Felix A. Gers, Norberto Eiji Nawa, Michael Hough:
Building an artificial brain using an FPGA based CAM-Brain Machine. Appl. Math. Comput. 111(2-3): 163-192 (2000) - [j7]Hongqing Cao, Lishan Kang, Tao Guo, Yuping Chen, Hugo de Garis:
A two-level hybrid evolutionary algorithm for modeling one-dimensional dynamic systems by higher-order ODE models. IEEE Trans. Syst. Man Cybern. Part B 30(2): 351-357 (2000) - [j6]Hugo de Garis, Michael Korkin:
The CAM-Brain Machine (CBM): Real Time Evolution and Update of a 75 Million Neuron FPGA-Based Artificial Brain. J. VLSI Signal Process. 24(2-3): 241-262 (2000) - [c30]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). Evolvable Hardware 2000: 225-236 - [c29]Hugo de Garis, Michael Korkin, Padma Guttikonda, Donald H. 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. IJCNN (6) 2000: 606-612
1990 – 1999
- 1999
- [j5]Hugo de Garis:
Proceedings of the first NASD/DoD workshop on evolvable hardware. IEEE Trans. Evol. Comput. 3(4): 304-306 (1999) - [c28]Hugo de Garis, Michael Korkin, Felix A. Gers, Michael Hough:
ATR's artificial brain (CAM-brain) project: a sample of what individual CoDi-1Bit model evolved neural net modules can do. CEC 1999: 1979-1987 - [c27]Hugo de Garis, Norberto Eiji Nawa, Andrzej Buller, Michael Korkin, Felix A. Gers, Michael Hough:
ATR's Artificial Brain ("Cam-Brain") Project a Sample of what Individual "CoDi-1Bit" Model Evolved Neural Net Modules can do with Digital and Analog I/O. Evolvable Hardware 1999: 102-110 - [c26]Hugo de Garis, Andrzej Buller, Michael Korkin, Felix A. Gers, Norberto 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 with Digital and Analog I/O. GECCO 1999: 1233 - [c25]Michael Korkin, Hugo de Garis, Norberto Eiji Nawa, William Dee Rieken:
ATR's Artificial Brain Project: CAM-Brain Machine (CBM) and Robot Kitten (Robokoneko) Issues. ICANNGA 1999: 107-110 - [c24]Hugo de Garis, Norberto Eiji Nawa, Michael Hough, Michael Korkin:
Evolving an optimal de/convolution function for the neural net modules of ATR's artificial brain project. IJCNN 1999: 438-443 - 1998
- [j4]Hugo de Garis, Norberto Eiji Nawa, Felix A. Gers, Michael Korkin, Arvin Agah:
"CAM-brain" ATR's billion neuron artificial brain project: A three-year progress report. Artif. Life Robotics 2(2): 56-61 (1998) - [c23]Michael Korkin, Norberto Eiji Nawa, Hugo de Garis:
A "Spike Interval Information Coding" Representation for ATR's CAM-Brain Machine (CBM). ICES 1998: 256-267 - [c22]Norberto Eiji Nawa, Michael Korkin, Hugo de Garis:
Digital Spikes: Information Representation in ATR's CAM-Brain Machine. ICONIP 1998: 93-96 - 1997
- [c21]Felix A. Gers, Hugo de Garis, Michael Korkin:
CoDi-1Bit: A Simplified Cellular Automata Based Neuron Model. Artificial Evolution 1997: 315-334 - [c20]Hugo de Garis, Lishan Kang, Qiming He, Zhengjun Pan, Masahiro Ootani, Edmund M. A. Ronald:
Million Module Neural Systems Evolution - The Next Step in ATR's Billion Neuron Artificial Brain ("CAM-Brain") Project. Artificial Evolution 1997: 335-347 - [c19]Hugo de Garis:
One-Chip Evolvable Hardware: 1C-EHW. ICANNGA 1997: 71-77 - 1996
- [c18]Hugo de Garis:
Cam-Brain: ATR's Billion Neuron Artificial Brain Project - A Three Year Progress Report. International Conference on Evolutionary Computation 1996: 886-891 - [c17]Felix A. Gers, Hugo de Garis:
CAM-Brain: A New Model for ATR's Cellular Automata Based Artificial Brain Project. ICES 1996: 437-452 - 1995
- [j3]Hitoshi Iba, Hugo de Garis, Taisuke Sato:
A Numerical Approach to Genetic Programming for System Identification. Evol. Comput. 3(4): 417-452 (1995) - [c16]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). BIES 1995: 132-139 - [c15]Hugo de Garis:
CAM-Brain. ICANNGA 1995: 84-87 - [c14]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). Towards Evolvable Hardware 1995: 76-98 - [c13]Hitoshi Iba, Taisuke Sato, Hugo de Garis:
Temporal Data Processing Using Genetic Programming. ICGA 1995: 279-286 - [c12]Hugo de Garis:
"CAM-BRAIN" ATR's Billion Neuron Artificial Brain Project - A Three Year Progress Report. IEEE/Nagoya-University World Wisepersons Workshop 1995: 215-243 - 1994
- [j2]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 Gener. Comput. 12(2): 215-221 (1994) - [c11]Hugo de Garis:
The Genetic Programming of an Artificial Brain Which Grows/Evolves at Electronic Speeds in a Cellular Automata Machine. International Conference on Evolutionary Computation 1994: 337-339 - [c10]Hitoshi Iba, Taisuke Sato, Hugo de Garis:
System Identification Approach to Genetic Programming. International Conference on Evolutionary Computation 1994: 401-406 - [c9]Hitoshi Iba, Hugo de Garis, Taisuke Sato:
Genetic Programming with Local Hill-Climbing. PPSN 1994: 302-311 - 1993
- [c8]William M. Spears, Kenneth A. De Jong, Thomas Bäck, David B. Fogel, Hugo de Garis:
An Overview of Evolutionary Computation. ECML 1993: 442-459 - [c7]Hitoshi Iba, Takio Kurita, Hugo de Garis, Taisuke Sato:
System Identification using Structured Genetic Algorithms. ICGA 1993: 279-286 - [c6]Hitoshi Iba, Tetsuya Higuchi, Hugo de Garis, Taisuke Sato:
Evolutionary Learning Strategy using Bug-Based Search. IJCAI 1993: 960-966 - 1992
- [c5]Hugo de Garis, Hitoshi Iba, Tatsumi Furuya:
Differentiable Chromosomes: The Genetic Programming of Switchable Shape-Genes. PPSN 1992: 495-504 - 1990
- [c4]Hugo de Garis:
Genetic Programming: Evolution of a Time Dependent Neural Network Module which Teaches a Pair of Stick Legs to Walk. ECAI 1990: 204-206 - [c3]Hugo de Garis:
Genetic Programming. ML 1990: 132-139 - [c2]Hugo de Garis:
Genetic programming: building nanobrains with genetically programmed neural network modules. IJCNN 1990: 511-516 - [c1]Hugo de Garis:
Genetic Programming: Artificial Nervous Systems, Artificial Embryos and Embryological Electronics. PPSN 1990: 117-123
1980 – 1989
- 1989
- [j1]Hugo de Garis:
What If AI Succeeds? The Rise of the Twenty-First Century Artilect. AI Mag. 10(2): 17-22 (1989)
Coauthor Index
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