Brain Like Computing And Intelligent Information Systems
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| Author | : Shunichi Amari |
| Publisher | : Springer |
| Total Pages | : 552 |
| Release | : 1998 |
| Genre | : Computers |
| ISBN | : |
This book introduces a new, rapidly expanding area in computer science and artificial intelligence. Brain-like computing combines traditional computational techniques with cognitive models inspired by the brain, for building information systems. Image and speech processing, creative planning and design, adaptive control, knowledge acquisition, and database mining, are only a few areas where brain-like computing is applied.
| Author | : Bernhard Sendhoff |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 359 |
| Release | : 2009-04-02 |
| Genre | : Medical |
| ISBN | : 3642006159 |
TheInternationalSymposiumCreatingBrain-LikeIntelligencewasheldinFeb- ary 2007 in Germany. The symposium brought together notable scientists from di?erent backgrounds and with di?erent expertise related to the emerging ?eld of brain-like intelligence. Our understanding of the principles behind brain-like intelligence is still limited. After all, we have had to acknowledge that after tremendous advances in areas like neural networks, computational and arti?cial intelligence (a ?eld that had just celebrated its 50 year anniversary) and fuzzy systems, we are still not able to mimic even the lower-level sensory capabilities of humans or animals. We asked what the biggest obstacles are and how we could gain ground toward a scienti?c understanding of the autonomy, ?exibility, and robustness of intelligent biological systems as they strive to survive. New principles are usually found at the interfaces between existing disciplines, and traditional boundaries between disciplines have to be broken down to see how complex systems become simple and how the puzzle can be assembled. During the symposium we could identify some recurring themes that p- vaded many of the talks and discussions. The triad of structure, dynamics and environment,theroleoftheenvironmentasanactivepartnerinshapingsystems, adaptivity on all scales (learning, development, evolution) and the amalga- tion of an internal and external world in brain-like intelligence rate high among them. Each of us is rooted in a certain community which we have to serve with the results of our research. Looking beyond our ?elds and working at the interfaces between established areas of research requires e?ort and an active process.
| Author | : Nikola Kasabov |
| Publisher | : Physica |
| Total Pages | : 411 |
| Release | : 2013-11-11 |
| Genre | : Computers |
| ISBN | : 3790818569 |
This edited volume comprises invited chapters that cover five areas of the current and the future development of intelligent systems and information sciences. Half of the chapters were presented as invited talks at the Workshop "Future Directions for Intelligent Systems and Information Sciences" held in Dunedin, New Zealand, 22-23 November 1999 after the International Conference on Neuro-Information Processing (lCONIPI ANZIISI ANNES '99) held in Perth, Australia. In order to make this volume useful for researchers and academics in the broad area of information sciences I invited prominent researchers to submit materials and present their view about future paradigms, future trends and directions. Part I contains chapters on adaptive, evolving, learning systems. These are systems that learn in a life-long, on-line mode and in a changing environment. The first chapter, written by the editor, presents briefly the paradigm of Evolving Connectionist Systems (ECOS) and some of their applications. The chapter by Sung-Bae Cho presents the paradigms of artificial life and evolutionary programming in the context of several applications (mobile robots, adaptive agents of the WWW). The following three chapters written by R.Duro, J.Santos and J.A.Becerra (chapter 3), GCoghill . (chapter 4), Y.Maeda (chapter 5) introduce new techniques for building adaptive, learning robots.
| Author | : Ning Zhong |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 724 |
| Release | : 2013-03-14 |
| Genre | : Computers |
| ISBN | : 3662079526 |
Intelligent Information Technology (iiT) encompasses the theories and ap plications of artificial intelligence, statistical pattern recognition, learning theory, data warehousing, data mining and knowledge discovery, Grid com puting, and autonomous agents and multi-agent systems in the context of today's as well as future IT, such as Electronic Commerce (EC), Business Intelligence (BI), Social Intelligence (SI), Web Intelligence (WI), Knowledge Grid (KG), and Knowledge Community (KC), among others. The multi-author monograph presents the current state of the research and development in intelligent technologies for information analysis, in par ticular, advances in agents, data mining, and learning theory, from both the oretical and application aspects. It investigates the future of information technology (IT) from a new intelligent IT (iiT) perspective, and highlights major iiT-related topics by structuring an introductory chapter and 22 sur vey/research chapters into 5 parts: (1) emerging data mining technology, (2) data mining for Web intelligence, (3) emerging agent technology, ( 4) emerging soft computing technology, and (5) statistical learning theory. Each chapter includes the original work of the author(s) as well as a comprehensive survey related to the chapter's topic. This book will become a valuable source of reference for R&D profession als active in advanced intelligent information technologies. Students as well as IT professionals and ambitious practitioners concerned with advanced in telligent information technologies will appreciate the book as a useful text enhanced by numerous illustrations and examples.
| Author | : Bogdan M. Wilamowski |
| Publisher | : CRC Press |
| Total Pages | : 610 |
| Release | : 2018-10-03 |
| Genre | : Technology & Engineering |
| ISBN | : 143980284X |
The Industrial Electronics Handbook, Second Edition combines traditional and newer, more specialized knowledge that will help industrial electronics engineers develop practical solutions for the design and implementation of high-power applications. Embracing the broad technological scope of the field, this collection explores fundamental areas, including analog and digital circuits, electronics, electromagnetic machines, signal processing, and industrial control and communications systems. It also facilitates the use of intelligent systems—such as neural networks, fuzzy systems, and evolutionary methods—in terms of a hierarchical structure that makes factory control and supervision more efficient by addressing the needs of all production components. Enhancing its value, this fully updated collection presents research and global trends as published in the IEEE Transactions on Industrial Electronics Journal, one of the largest and most respected publications in the field. As intelligent systems continue to replace and sometimes outperform human intelligence in decision-making processes, they have made substantial contributions to the solution of very complex problems. As a result, the field of computational intelligence has branched out in several directions. For instance, artificial neural networks can learn how to classify patterns, such as images or sequences of events, and effectively model complex nonlinear systems. Simple and easy to implement, fuzzy systems can be applied to successful modeling and system control. Illustrating how these and other tools help engineers model nonlinear system behavior, determine and evaluate system parameters, and ensure overall system control, Intelligent Systems: Addresses various aspects of neural networks and fuzzy systems Focuses on system optimization, covering new techniques such as evolutionary methods, swarm, and ant colony optimizations Discusses several applications that deal with methods of computational intelligence Other volumes in the set: Fundamentals of Industrial Electronics Power Electronics and Motor Drives Control and Mechatronics Industrial Communication Systems
| Author | : Peter W. Hawkes |
| Publisher | : Elsevier |
| Total Pages | : 475 |
| Release | : 2003-05-20 |
| Genre | : Technology & Engineering |
| ISBN | : 0080490069 |
Image processing and a major contribution on microscopy dominate the latest volume of these advances. This volume looks at theory and it's application in a practical sense, with a full account of the methods used and realistic detailed application. The authors do this by examining the latest developments, historic illustrations and mathematical fundamentals of the exciting developments in imaging and applying them to realistic practical situations.Addressing and solving daily issues faced by researchers, consultants and engineers working in this field, makes this book essential reading*Emphasizes broad and in depth article collaborations between world-renowned scientists in the field of image and electron physics*Emphasises theory and it's application in a practical sense*Provides the FIRST full statement of a radical new approach to 'phase calibration' and the solution of this important and difficult problem, pioneered by A, Lannes
| Author | : Wenjun ZHANG |
| Publisher | : World Scientific |
| Total Pages | : 402 |
| Release | : 2015-11-27 |
| Genre | : Business & Economics |
| ISBN | : 9814699497 |
"This invaluable book is the first of its kind on "selforganizology", the science of self-organization. It covers a wide range of topics, such as the theory, principle and methodology of selforganizology, agent-based modelling, intelligence basis, ant colony optimization, fish/particle swarm optimization, cellular automata, spatial diffusion models, evolutionary algorithms, self-adaptation and control systems, self-organizing neural networks, catastrophe theory and methods, and self-organization of biological communities, etc. Readers will have an in-depth and comprehensive understanding of selforganizology, with detailed background information provided for those who wish to delve deeper into the subject and explore research literature. This book is a valuable reference for research scientists, university teachers, graduate students and high-level undergraduates in the areas of computational science, artificial intelligence, applied mathematics, engineering science, social science and life sciences."--
| Author | : William D. Casebeer |
| Publisher | : |
| Total Pages | : 564 |
| Release | : 2001 |
| Genre | : Connectionism |
| ISBN | : |
Naturalizing ethics has been a problematic philosophic enterprise. The author attempts a synoptic reconciliation of the sciences with a naturalized conception of morality, beginning with a Quinean refutation of the "naturalistic fallacy" and the "open question argument." We can improve our understanding of the nature of moral theory and its place in moral judgment by treating morality as a natural phenomenon subject to constraints from and ultimately reduced to the cognitive and biological sciences. Treating morality as a mafter of proper biological function, partially fixed by our evolutionary history, and with an emphasis on skillful action in the world ("know how"), sheds light on the underlying native connectionist architecture of moral cognition. The author discusses practical implications, regarding the nature and form of our collective character development institutions and our methods for moral reasoning, that arise from this approach, reaffirming Deweyian and Aristotelian points about the importance of sociability, friendship, and liberal democratic forms of social organization for human flourishing.
| Author | : Nikola Kasabov |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 308 |
| Release | : 2013-03-14 |
| Genre | : Computers |
| ISBN | : 144713740X |
Many methods and models have been proposed for solving difficult problems such as prediction, planning and knowledge discovery in application areas such as bioinformatics, speech and image analysis. Most, however, are designed to deal with static processes which will not change over time. Some processes - such as speech, biological information and brain signals - are not static, however, and in these cases different models need to be used which can trace, and adapt to, the changes in the processes in an incremental, on-line mode, and often in real time. This book presents generic computational models and techniques that can be used for the development of evolving, adaptive modelling systems. The models and techniques used are connectionist-based (as the evolving brain is a highly suitable paradigm) and, where possible, existing connectionist models have been used and extended. The first part of the book covers methods and techniques, and the second focuses on applications in bioinformatics, brain study, speech, image, and multimodal systems. It also includes an extensive bibliography and an extended glossary. Evolving Connectionist Systems is aimed at anyone who is interested in developing adaptive models and systems to solve challenging real world problems in computing science or engineering. It will also be of interest to researchers and students in life sciences who are interested in finding out how information science and intelligent information processing methods can be applied to their domains.
| Author | : Ai-Girl Tan |
| Publisher | : World Scientific |
| Total Pages | : 647 |
| Release | : 2007 |
| Genre | : Education |
| ISBN | : 9812569588 |
This comprehensive handbook for teachers presents an overview of creativity from the psychological and educational perspectives. It includes the biological and neural bases of creativity and covers the practical methods of fostering creativity. With contributions from eminent scholars in the field, the book consists of four parts, namely development, theories, education, and practice and pedagogy. The book serves as a reference source on the historical development, concepts, theories and practical applications of creativity.
