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Author: Dario Floreano Publisher: MIT Press ISBN: 0262303914 Category : Computers Languages : en Pages : 674
Book Description
A comprehensive introduction to new approaches in artificial intelligence and robotics that are inspired by self-organizing biological processes and structures. New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells, bodies, and societies as it does from evolution, development, and learning. Traditionally, artificial intelligence has been concerned with reproducing the abilities of human brains; newer approaches take inspiration from a wider range of biological structures that that are capable of autonomous self-organization. Examples of these new approaches include evolutionary computation and evolutionary electronics, artificial neural networks, immune systems, biorobotics, and swarm intelligence—to mention only a few. This book offers a comprehensive introduction to the emerging field of biologically inspired artificial intelligence that can be used as an upper-level text or as a reference for researchers. Each chapter presents computational approaches inspired by a different biological system; each begins with background information about the biological system and then proceeds to develop computational models that make use of biological concepts. The chapters cover evolutionary computation and electronics; cellular systems; neural systems, including neuromorphic engineering; developmental systems; immune systems; behavioral systems—including several approaches to robotics, including behavior-based, bio-mimetic, epigenetic, and evolutionary robots; and collective systems, including swarm robotics as well as cooperative and competitive co-evolving systems. Chapters end with a concluding overview and suggested reading.
Author: Universidad de Granada. Department of Architecture and Technology of Computers Publisher: Institute of Electrical & Electronics Engineers(IEEE) ISBN: 9780769500430 Category : Biomimetics Languages : en Pages : 0
Book Description
Organized by the U. of Granada, the April 1999 conference focused on applications of bio-inspired microelectronic circuits and systems. Published as extended papers, the contributions represent five invited talks (on various phenomena-to-emerging-technology advances), a demonstration of the autonomo
Author: Universidad de Granada Publisher: Institute of Electrical & Electronics Engineers(IEEE) ISBN: 9780769500430 Category : Computers Languages : en Pages : 470
Book Description
Organized by the U. of Granada, the April 1999 conference focused on applications of bio-inspired microelectronic circuits and systems. Published as extended papers, the contributions represent five invited talks (on various phenomena-to-emerging-technology advances), a demonstration of the autonomo
Author: Michael Kennedy Publisher: CRC Press ISBN: 1482274515 Category : Technology & Engineering Languages : en Pages : 460
Book Description
At the code level, discrete-time chaotic systems can be used to generate spreading codes for DS-SS systems. At the signal level, continuous-time chaotic systems can be used to generate wideband carriers for digital modulation schemes. The potential of chaos engineering is now recognized worldwide, with research groups actively pursuing the exploitation of chaotic phenomena in cryptography, spread spectrum communications, electromagnetic interference reduction, and many other applications. Although some noteworthy results have already been achieved, until now, the field has lacked both a systematic treatment of these developments and a careful, quantitative comparison of chaos-based and conventional techniques. Chaotic Electronics in Telecommunications fills both of those needs. It addresses the use of chaos in digital communications applications, from the coding level to circuit design. Each chapter offers a formal exposition of the theoretical and engineering tools needed to apply chaos, followed by discussion of the algorithms and circuits needed to apply the theory to real-world communications systems.
Author: Dario Floreano Publisher: MIT Press ISBN: 0262062712 Category : Computers Languages : en Pages : 674
Book Description
A comprehensive introduction to new approaches in artificial intelligence and robotics that are inspired by self-organizing biological processes and structures. New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells, bodies, and societies as it does from evolution, development, and learning. Traditionally, artificial intelligence has been concerned with reproducing the abilities of human brains; newer approaches take inspiration from a wider range of biological structures that that are capable of autonomous self-organization. Examples of these new approaches include evolutionary computation and evolutionary electronics, artificial neural networks, immune systems, biorobotics, and swarm intelligence—to mention only a few. This book offers a comprehensive introduction to the emerging field of biologically inspired artificial intelligence that can be used as an upper-level text or as a reference for researchers. Each chapter presents computational approaches inspired by a different biological system; each begins with background information about the biological system and then proceeds to develop computational models that make use of biological concepts. The chapters cover evolutionary computation and electronics; cellular systems; neural systems, including neuromorphic engineering; developmental systems; immune systems; behavioral systems—including several approaches to robotics, including behavior-based, bio-mimetic, epigenetic, and evolutionary robots; and collective systems, including swarm robotics as well as cooperative and competitive co-evolving systems. Chapters end with a concluding overview and suggested reading.
Author: Lingfeng Wang Publisher: World Scientific ISBN: 9812773142 Category : Technology & Engineering Languages : en Pages : 267
Book Description
This invaluable book comprehensively describes evolutionary robotics and computational intelligence, and how different computational intelligence techniques are applied to robotic system design. It embraces the most widely used evolutionary approaches with their merits and drawbacks, presents some related experiments for robotic behavior evolution and the results achieved, and shows promising future research directions. Clarity of explanation is emphasized such that a modest knowledge of basic evolutionary computation, digital circuits and engineering design will suffice for a thorough understanding of the material. The book is ideally suited to computer scientists, practitioners and researchers keen on computational intelligence techniques, especially the evolutionary algorithms in autonomous robotics at both the hardware and software levels. Sample Chapter(s). Chapter 1: Artificial Evolution Based Autonomous Robot Navigation (184 KB). Contents: Artificial Evolution Based Autonomous Robot Navigation; Evolvable Hardware in Evolutionary Robotics; FPGA-Based Autonomous Robot Navigation via Intrinsic Evolution; Intelligent Sensor Fusion and Learning for Autonomous Robot Navigation; Task-Oriented Developmental Learning for Humanoid Robots; Bipedal Walking Through Reinforcement Learning; Swing Time Generation for Bipedal Walking Control Using GA Tuned Fuzzy Logic Controller; Bipedal Walking: Stance Ankle Behavior Optimization Using Genetic Algorithm. Readership: Researchers in evolutionary robotics, and graduate and advanced undergraduate students in computational intelligence.
Author: Julian Miller Publisher: Springer Science & Business Media ISBN: 3540673385 Category : Computers Languages : en Pages : 296
Book Description
This book constitutes the refereed proceedings of the Third International Conference on Evolvable Systems: From Biology to Hardware, ICES 2000, held in Edinburgh, Scotland, UK, in April 2000. The 27 revised full papers presented were carefully reviewed and selected for inclusion in the proceedings. Among the topics covered are evaluation of digital systems, evolution of analog systems, embryonic electronics, bio-inspired systems, artificial neural networks, adaptive robotics, adaptive hardware platforms, molecular computing, reconfigurable systems, immune systems, and self-repair.
Author: Andrew Adamatzky Publisher: Springer Science & Business Media ISBN: 3319026305 Category : Computers Languages : en Pages : 716
Book Description
Using memristors one can achieve circuit functionalities that are not possible to establish with resistors, capacitors and inductors, therefore the memristor is of great pragmatic usefulness. Potential unique applications of memristors are in spintronic devices, ultra-dense information storage, neuromorphic circuits and programmable electronics. Memristor Networks focuses on the design, fabrication, modelling of and implementation of computation in spatially extended discrete media with many memristors. Top experts in computer science, mathematics, electronics, physics and computer engineering present foundations of the memristor theory and applications, demonstrate how to design neuromorphic network architectures based on memristor assembles, analyse varieties of the dynamic behaviour of memristive networks and show how to realise computing devices from memristors. All aspects of memristor networks are presented in detail, in a fully accessible style. An indispensable source of information and an inspiring reference text, Memristor Networks is an invaluable resource for future generations of computer scientists, mathematicians, physicists and engineers.
Author: Hans-Jürgen Zimmermann Publisher: Springer Science & Business Media ISBN: 9401003246 Category : Mathematics Languages : en Pages : 518
Book Description
Advances in Computational Intelligence and Learning: Methods and Applications presents new developments and applications in the area of Computational Intelligence, which essentially describes methods and approaches that mimic biologically intelligent behavior in order to solve problems that have been difficult to solve by classical mathematics. Generally Fuzzy Technology, Artificial Neural Nets and Evolutionary Computing are considered to be such approaches. The Editors have assembled new contributions in the areas of fuzzy sets, neural sets and machine learning, as well as combinations of them (so called hybrid methods) in the first part of the book. The second part of the book is dedicated to applications in the areas that are considered to be most relevant to Computational Intelligence.
Author: Julian F. Miller Publisher: Springer ISBN: 3540464069 Category : Computers Languages : en Pages : 296
Book Description
This book constitutes the refereed proceedings of the Third International Conference on Evolvable Systems: From Biology to Hardware, ICES 2000, held in Edinburgh, Scotland, UK, in April 2000. The 27 revised full papers presented were carefully reviewed and selected for inclusion in the proceedings. Among the topics covered are evaluation of digital systems, evolution of analog systems, embryonic electronics, bio-inspired systems, artificial neural networks, adaptive robotics, adaptive hardware platforms, molecular computing, reconfigurable systems, immune systems, and self-repair.
Author: Dario Floreano
Author: 
Author: Universidad de Granada. Department of Architecture and Technology of Computers
Author: Universidad de Granada
Author: Michael Kennedy
Author: Dario Floreano
Author: Lingfeng Wang
Author: Julian Miller
Author: Andrew Adamatzky
Author: Hans-Jürgen Zimmermann
Author: Julian F. Miller