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.

"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.

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.

The reigning authority on intellectual property in the Internet age, Lawrence Lessig spotlights the newest and possibly the most harmful culture war - a war waged against those who create and consume art. America's copyright laws have ceased to perform their original, beneficial role: protecting artists' creations while allowing them to build on previous creative works. In fact, our system now criminalizes those very actions. Remix is an urgent, eloquent plea to end a war that harms every intrepid, creative user of new technologies. It also offers an inspiring vision of the postwar world where enormous opportunities await those who view art as a resource to be shared openly rather than a commodity to be hoarded.

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.

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.

*SHORTLISTED FOR THE 2022 BARBELLION PRIZE* As heard on BBC Radio 4 Book of the Week As seen on Sky Arts Book Club with Elizabeth Day and Andi Oliver An eye-opening account of disability, identity, and how robotics and AI are altering our understanding of what it means to be human - from the bestselling author of Anatomy of a Soldier Harry Parker's life changed overnight, when he lost his legs to an IED in Afghanistan. That took him into an often surprising landscape of a very human kind of hacking, and he wondered, are all humans becoming hybrids? Parker introduces us to the exhilarating breadth of human invention - and intervention. Grappling with his own new identity and disability, he discovers the latest robotics, tech and implants that might lead us to powerful, liberating possibilities for what a body can be. 'I loved Hybrid Humans. A way of looking at the future without nostalgia for the past' - Jeanette Winterson

This book discusses the current trends in and applications of artificial intelligence research in intelligent systems. Including the proceedings of the Artificial Intelligence Methods in Intelligent Algorithms Section of the 8th Computer Science On-line Conference 2019 (CSOC 2019), held in April 2019, it features papers on neural networks algorithms, optimisation algorithms and real-world issues related to the application of artificial methods.

How can education survive in a post-truth era full of alternative facts and a reality-TV star armed with nuclear codes and a Twitter account? We must recognize that teaching is political. Schools need to help students counter the social erosion of trust in knowledge. Preserving that trust, we have seen, can help preserve democracy.Trust, like politics, involves people. In their classes, people learn to see themselves as members of communities and also to engage the world around them. Schools have a responsibility to support students as they learn. With the rise of anger-fueled nationalism around the world, it is clear that caring for others has never been so vital.It is also clear that technology and capitalism will not solve education's problems. Social media companies promise connection but create echo chambers and conspiracy-mongering. Ed-tech companies promise insights and solutions while delivering surveillance and suspicion. Education must connect the personal to the technological-it can no longer afford to work offline. All teaching is necessarily hybrid.Pedagogy, people, and politics influence each other, and educators of all stripes have an opportunity-a responsibility-to build human connections with ethical technology.Gathering the voices of over two dozen progressive educators, this volume combines perspectives from across academia and around the globe. The authors in this book use critical digital pedagogy as a guide for navigating today's turbulent global political climate. Timely and accessible, Hybrid Teaching challenges higher education faculty and administrators to consider the political implications-and the political power-of teaching.

This six-volume set presents cutting-edge advances and applications of expert systems. Because expert systems combine the expertise of engineers, computer scientists, and computer programmers, each group will benefit from buying this important reference work. An "expert system" is a knowledge-based computer system that emulates the decision-making ability of a human expert. The primary role of the expert system is to perform appropriate functions under the close supervision of the human, whose work is supported by that expert system. In the reverse, this same expert system can monitor and double check the human in the performance of a task. Human-computer interaction in our highly complex world requires the development of a wide array of expert systems. Expert systems techniques and applications are presented for a diverse array of topics including Experimental design and decision support The integration of machine learning with knowledge acquisition for the design of expert systems Process planning in design and manufacturing systems and process control applications Knowledge discovery in large-scale knowledge bases Robotic systems Geograhphic information systems Image analysis, recognition and interpretation Cellular automata methods for pattern recognition Real-time fault tolerant control systems CAD-based vision systems in pattern matching processes Financial systems Agricultural applications Medical diagnosis