Creating the Hybrid Intellectual

Creating the Hybrid Intellectual PDF Author: Anne Lambright
Publisher: Associated University Presse
ISBN: 9780838756836
Category : Fiction
Languages : en
Pages : 320

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Book Description
A contribution to the study of Peruvian anthropologist and creative writer, Jose Maria Arguedas. It asserts that it is through reading the role and trajectory of the feminine in Arguedian narrative that we can best understand the author's national vision.

Hybrid

Hybrid PDF Author: Noel Kingsbury
Publisher: University of Chicago Press
ISBN: 0226437132
Category : Gardening
Languages : en
Pages : 510

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Book Description
"Noel Kingsbury reveals that even those imaginary perfect foods are themselves far from anything that could properly be called natural, rather, they represent the end of a millennia-long history of selective breeding and hybridization. Starting his story at the birth of agriculture, Kingsbury traces the history of human attempts to make plants more reliable, productive, and nutritiousa story that owes as much to accident and error as to innovation and experiment. Drawing on historical and scientific accounts, as well as a rich trove of anecdotes, Kingsbury shows how scientists, amateur breeders, and countless anonymous farmers and gardeners slowly caused the evolutionary pressures of nature to be supplanted by those of human needs and thus led us from sparse wild grasses to succulent corn cobs, and from mealy, white wild carrots to the juicy vegetables we enjoy today. At the same time, Kingsbury reminds us that contemporary controversies over the Green Revolution and genetically modified crops are not new, plant breeding has always had a political dimension."--Publisher's description.

Introduction to Hybrid Intelligent Networks

Introduction to Hybrid Intelligent Networks PDF Author: Zhi-Hong Guan
Publisher: Springer
ISBN: 3030021610
Category : Computers
Languages : en
Pages : 292

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Book Description
This book covers the fundamental principles, new theories and methodologies, and potential applications of hybrid intelligent networks. Chapters focus on hybrid neural networks and networked multi-agent networks, including their communication, control and optimization synthesis. This text also provides a succinct but useful guideline for designing neural network-based hybrid artificial intelligence for brain-inspired computation systems and applications in the Internet of Things. Artificial Intelligence has developed into a deep research field targeting robots with more brain-inspired perception, learning, decision-making abilities, etc. This text devoted to a tutorial on hybrid intelligent networks that have been identified in nature and engineering, especially in the brain, modeled by hybrid dynamical systems and complex networks, and have shown potential application to brain-inspired intelligence. Included in this text are impulsive neural networks, neurodynamics, multiagent networks, hybrid dynamics analysis, collective dynamics, as well as hybrid communication, control and optimization methods. Graduate students who are interested in artificial intelligence and hybrid intelligence, as well as professors and graduate students who are interested in neural networks and multiagent networks will find this textbook a valuable resource. AI engineers and consultants who are working in wireless communications and networking will want to buy this book. Also, professional and academic institutions in universities and Mobile vehicle companies and engineers and managers who concern humans in the loop of IoT will also be interested in this book.

Remix

Remix PDF Author: Lawrence Lessig
Publisher: Penguin
ISBN: 9781594201721
Category : Art
Languages : en
Pages : 356

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Book Description
The author of "Free Culture" shows how the current copyright system harms anyone who creates, enjoys, or sells any art form. Lessig, the reigning authority on intellectual property, argues that artistic resources should be shared openly rather than a commodity to be hoarded.

Hybrid Architectures for Intelligent Systems

Hybrid Architectures for Intelligent Systems PDF Author: Abraham Kandel
Publisher: CRC Press
ISBN: 9780849342295
Category : Computers
Languages : en
Pages : 450

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Book Description
Hybrid architecture for intelligent systems is a new field of artificial intelligence concerned with the development of the next generation of intelligent systems. This volume is the first book to delineate current research interests in hybrid architectures for intelligent systems. The book is divided into two parts. The first part is devoted to the theory, methodologies, and algorithms of intelligent hybrid systems. The second part examines current applications of intelligent hybrid systems in areas such as data analysis, pattern classification and recognition, intelligent robot control, medical diagnosis, architecture, wastewater treatment, and flexible manufacturing systems. Hybrid Architectures for Intelligent Systems is an important reference for computer scientists and electrical engineers involved with artificial intelligence, neural networks, parallel processing, robotics, and systems architecture.

Intelligent Computing Theories and Application

Intelligent Computing Theories and Application PDF Author: De-Shuang Huang
Publisher: Springer
ISBN: 3319422944
Category : Computers
Languages : en
Pages : 924

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Book Description
This two-volume set LNCS 9771 and LNCS 9772 constitutes - in conjunction with the volume LNAI 9773 - the refereed proceedings of the 12th International Conference on Intelligent Computing, ICIC 2016, held in Lanzhou, China, in August 2016. The 221 full papers and 15 short papers of the three proceedings volumes were carefully reviewed and selected from 639 submissions. The papers are organized in topical sections such as signal processing and image processing; information security, knowledge discovery, and data mining; systems biology and intelligent computing in computational biology; intelligent computing in scheduling; information security; advances in swarm intelligence: algorithms and applications; machine learning and data analysis for medical and engineering applications; evolutionary computation and learning; independent component analysis; compressed sensing, sparse coding; social computing; neural networks; nature inspired computing and optimization; genetic algorithms; signal processing; pattern recognition; biometrics recognition; image processing; information security; virtual reality and human-computer interaction; healthcare informatics theory and methods; artificial bee colony algorithms; differential evolution; memetic algorithms; swarm intelligence and optimization; soft computing; protein structure and function prediction; advances in swarm intelligence: algorithms and applications; optimization, neural network, and signal processing; biomedical informatics and image processing; machine learning; knowledge discovery and natural language processing; nature inspired computing and optimization; intelligent control and automation; intelligent data analysis and prediction; computer vision; knowledge representation and expert system; bioinformatics.

Hybrid Intelligent Systems

Hybrid Intelligent Systems PDF Author: Ajith Abraham
Publisher: Springer Nature
ISBN: 3030730506
Category : Technology & Engineering
Languages : en
Pages : 817

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Book Description
This book highlights the recent research on hybrid intelligent systems and their various practical applications. It presents 58 selected papers from the 20th International Conference on Hybrid Intelligent Systems (HIS 2020) and 20 papers from the 12th World Congress on Nature and Biologically Inspired Computing (NaBIC 2020), which was held online, from December 14 to 16, 2020. A premier conference in the field of artificial intelligence, HIS - NaBIC 2020 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from 25 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of science and engineering.

Agent-Based Hybrid Intelligent Systems

Agent-Based Hybrid Intelligent Systems PDF Author: Zili Zhang (Ph.D.)
Publisher: Springer Science & Business Media
ISBN: 3540209085
Category : Computers
Languages : en
Pages : 200

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Book Description
Solving complex problems in real-world contexts, such as financial investment planning or mining large data collections, involves many different sub-tasks, each of which requires different techniques. To deal with such problems, a great diversity of intelligent techniques are available, including traditional techniques like expert systems approaches and soft computing techniques like fuzzy logic, neural networks, or genetic algorithms. These techniques are complementary approaches to intelligent information processing rather than competing ones, and thus better results in problem solving are achieved when these techniques are combined in hybrid intelligent systems. Multi-Agent Systems are ideally suited to model the manifold interactions among the many different components of hybrid intelligent systems. This book introduces agent-based hybrid intelligent systems and presents a framework and methodology allowing for the development of such systems for real-world applications. The authors focus on applications in financial investment planning and data mining.

Innovations in Hybrid Intelligent Systems

Innovations in Hybrid Intelligent Systems PDF Author: Emilio Corchado
Publisher: Springer Science & Business Media
ISBN: 3540749721
Category : Computers
Languages : en
Pages : 514

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Book Description
This carefully edited book combines symbolic and sub-symbolic techniques to construct more robust and reliable problem solving models. This volume focused on "Hybrid Artificial Intelligence Systems" contains a collection of papers that were presented at the 2nd International Workshop on Hybrid Artificial Intelligence Systems, held in 12 - 13 November, 2007, Salamanca, Spain.

Hybrid Intelligent Systems

Hybrid Intelligent Systems PDF Author: Larry R. Medsker
Publisher: Springer Science & Business Media
ISBN: 1461523532
Category : Computers
Languages : en
Pages : 302

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Book Description
Hybrid Intelligent Systems summarizes the strengths and weaknesses of five intelligent technologies: fuzzy logic, genetic algorithms, case-based reasoning, neural networks and expert systems, reviewing the status and significance of research into their integration. Engineering and scientific examples and case studies are used to illustrate principles and application development techniques. The reader will gain a clear idea of the current status of hybrid intelligent systems and discover how to choose and develop appropriate applications. The book is based on a thorough literature search of recent publications on research and development in hybrid intelligent systems; the resulting 50-page reference section of the book is invaluable. The book starts with a summary of the five major intelligent technologies and of the issues in and current status of research into them. Each subsequent chapter presents a detailed discussion of a different combination of intelligent technologies, along with examples and case studies. Four chapters contain detailed case studies of working hybrid systems. The book enables the reader to: Describe the important concepts, strengths and limitations of each technology; Recognize and analyze potential problems with the application of hybrid systems; Choose appropriate hybrid intelligent solutions; Understand how applications are designed with any of the approaches covered; Choose appropriate commercial development shells or tools. An invaluable reference source for those who wish to apply intelligent systems techniques to their own problems.