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Evolvable Systems: From Biology to Hardware : First International Conference, ICES '96, Tsukuba, Japan, October 7 - 8, 1996, Revised Papers / edited by Tetsuya Higuchi, Masaya Iwata, Liu Weixin.
LIBRA Q341 .P7 2004
Available from offsite location
- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- Lecture notes in computer science 0302-9743 ; 1259.
- Lecture Notes in Computer Science, 0302-9743 ; 1259
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Computer architecture.
- Logic design.
- Computers.
- Computer simulation.
- Bioinformatics.
- Computational biology.
- Artificial Intelligence.
- Computer System Implementation.
- Logic Design.
- Computation by Abstract Devices.
- Simulation and Modeling.
- Computer Appl. in Life Sciences.
- Local Subjects:
- Artificial Intelligence.
- Computer System Implementation.
- Logic Design.
- Computation by Abstract Devices.
- Simulation and Modeling.
- Computer Appl. in Life Sciences.
- Physical Description:
- 1 online resource (XIII, 491 pages).
- Edition:
- First edition 1997.
- Contained In:
- Springer eBooks
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1997.
- System Details:
- text file PDF
- Summary:
- This book constitutes the strictly refereed post-conference proceedings recording the scientific progress achieved at the First International Conference on Evolvable Systems: From Biology to Hardware, ICES'96, held in Tsukuba, Japan, in October 1996. The volume presents 33 revised full papers including several invited contributions surveying the state of the art in this emerging area of research and development. The volume is divided into topical sections on evolware, cellular systems, engineering applications of evolvable hardware systems, evolutionary robotics, innovative architectures, evolvable systems, evolvable hardware, and genetic programming.
- Contents:
- Iconic learning in networks of logical neurons
- Hardware requirements for fast evaluation of functions learned by Adaptive Logic Networks
- FPGA as a key component for reconfigurable system
- Phylogeny, ontogeny, and epigenesis: Three sources of biological inspiration for softening hardware
- Promises and challenges of Evolvable hardware
- Designing evolware by cellular programming
- Online autonomous evolware
- Speeding-up digital ecologies evolution using a hardware emulator: Preliminary results
- Challenges of evolvable systems: Analysis and future directions
- Functional organisms growing on silicon
- Logical universality and self-reproduction in reversible cellular automata
- Data compression based on Evolvable hardware
- ATM cell scheduling by function level evolvable hardware
- An evolutionary robot navigation system using a gate-level evolvable hardware
- Genetic evolution of a logic circuit which controls an autonomous mobile robot
- Autonomous robot with evolving algorithm based on biological systems
- Memory-based neural network and its application to a mobile robot with evolutionary and experience learning
- Multiple genetic algorithm processor for hardware optimization
- NGEN: A massively parallel reconfigurable computer for biological simulation: Towards a self-organizing computer
- Architecture of cell array neuro-processor
- Special-purpose brainware architecture for data processing
- Evolvable Hardware: An outlook
- Reuse, parameterized reuse, and hierarchical reuse of substructures in evolving electrical circuits using genetic programming
- Machine learning approach to gate-level Evolvable Hardware
- Evolvable systems in hardware design: Taxonomy, survey and applications
- From some tasks to biology and then to hardware
- Adaptive equalization of digital communication channels using Evolvable Hardware
- An evolved circuit, intrinsic in silicon, entwined with physics
- Through the labyrinth evolution finds a way: A silicon ridge
- Hardware evolution system introducing dominant and recessive heredity
- CAM-Brain: A new model for atr's cellular automata based artificial brain project
- Evolution of a 60 decibel op amp using genetic programming
- Evolution of binary decision diagrams for digital circuit design using genetic programming.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-540-69204-1
- 9783540692041
- Access Restriction:
- Restricted for use by site license.
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