Humanity has often turned to Nature for inspiration to help it solve its problems.  The systems She provides are often based on simple rules and premises, yet are able to adapt to new and complex environments qui...
ISBN:
(数字)9783642012624
ISBN:
(纸本)9783642012617;9783642101779
Humanity has often turned to Nature for inspiration to help it solve its problems. The systems She provides are often based on simple rules and premises, yet are able to adapt to new and complex environments quickly and efficiently. Problems from a range of human endeavours, including, science, engineering and economics, require us to find good quality solutions in exponentially large search spaces, a task that often requires vast amounts computational resources and effort. In this book, the contributing authors solve these problems by modelling aspects of the natural world, from the flocking of birds and fish, the operation of colonies of ants through to chromosome reproduction and beyond. Many of the contributions represent extended studies of work presented at a number of workshops on Biologically-Inspired Optimisation Methods at international conferences on e-Science, Grid Computing, and Evolutionary Computation. A variety of chapters from some of the leading experts in the field present an overview of the state-of-the-art, recent advances in theoretical and practical ideas and techniques, and details of application of these methods to a range of benchmark and real world problems.
Professor Richard S. Michalski passed away on September 20, 2007. Once we learned about his untimely death we immediately realized that we would no longer have with us a truly exceptional scholar and researcher who fo...
ISBN:
(数字)9783642051777
ISBN:
(纸本)9783642051760;9783642262302
Professor Richard S. Michalski passed away on September 20, 2007. Once we learned about his untimely death we immediately realized that we would no longer have with us a truly exceptional scholar and researcher who for several decades had been inf- encing the work of numerous scientists all over the world - not only in his area of expertise, notably machine learning, but also in the broadly understood areas of data analysis, data mining, knowledge discovery and many others. In fact, his influence was even much broader due to his creative vision, integrity, scientific excellence and exceptionally wide intellectual horizons which extended to history, political science and arts. Professor Michalski’s death was a particularly deep loss to the whole Polish sci- tific community and the Polish Academy of Sciences in particular. After graduation, he began his research career at the Institute of Automatic Control, Polish Academy of Science in Warsaw. In 1970 he left his native country and hold various prestigious positions at top US universities. His research gained impetus and he soon established himself as a world authority in his areas of interest – notably, he was widely cons- ered a father of machine learning.
This book highlights recent research on interval methods for solving nonlinear constraint satisfaction, optimization and similar problems. Further, it presents a comprehensive survey of applications in various branche...
ISBN:
(数字)9783030137953
ISBN:
(纸本)9783030137946
This book highlights recent research on interval methods for solving nonlinear constraint satisfaction, optimization and similar problems. Further, it presents a comprehensive survey of applications in various branches of robotics, artificial intelligence systems, economics, control theory, dynamical systems theory, and others. Three appendices, on the notation, representation of numbers used as intervals’ endpoints, and sample implementations of the interval data type in several programming languages, round out the coverage.
Social, Ethical & Legal Aspects of Generative AI: Tools, Techniques, and Systemshighlights the transformative exploration of the AI revolution. This groundbreaking discourse deciphers the nexus between cutting-edg...
ISBN:
(数字)9783031872525
ISBN:
(纸本)9783031872518;9783031872549
Social, Ethical & Legal Aspects of Generative AI: Tools, Techniques, and Systems
highlights the transformative exploration of the AI revolution. This groundbreaking discourse deciphers the nexus between cutting-edge generative AI tools and the societal framework that shapes their impact. Generative AI is more than a technological marvel; it’s a societal force reshaping industries, education, healthcare, and governance. Explore the ethical dilemmas, legal challenges, and innovative solutions driving its global adoption. This volume provides an insight into the latest innovations and state-of-the-art research in the fields of Social, Ethical & Legal Aspects of Generative AI, showcasing their potential to address AI's profound societal implications. It spans a diverse array of topics, including:
Advanced AI-driven creative tools revolutionizing industries.
Navigating the legal landscape of generative technologies.
Addressing biases, data privacy, and societal inclusivity.
Shaping a future where technology and humanity coexist harmoniously.
By merging cutting-edge theoretical insights with practical applications, this volume provides researchers, practitioners, and students with the essential knowledge and tools to explore and advance within the dynamic field of Social, Ethical & Legal Aspects of Generative AI. Generative AI technologies bring transformative potential but also raise critical questions about privacy, bias, and accountability, demanding ethical frameworks to guide their development and deployment. The social implications of generative AI include its impact on employment, creativity, and human interactions, necessitating balanced approaches to ensure inclusivity and equity. Legal challenges surrounding generative AI focus on intellectual property, liability for AI-generated content, and adherence to global data protection laws. Addressing the ethical, social, and legal aspects of generative AI is essential to fostering innovation while safeguarding human r
Professor Richard S. Michalski passed away on September 20, 2007. Once we learned about his untimely death we immediately realized that we would no longer have with us a truly exceptional scholar and researcher who fo...
ISBN:
(数字)9783642051791
ISBN:
(纸本)9783642051784;9783642262319
Professor Richard S. Michalski passed away on September 20, 2007. Once we learned about his untimely death we immediately realized that we would no longer have with us a truly exceptional scholar and researcher who for several decades had been inf- encing the work of numerous scientists all over the world - not only in his area of exp- tise, notably machine learning, but also in the broadly understood areas of data analysis, data mining, knowledge discovery and many others. In fact, his influence was even much broader due to his creative vision, integrity, scientific excellence and excepti- ally wide intellectual horizons which extended to history, political science and arts. Professor Michalski’s death was a particularly deep loss to the whole Polish sci- tific community and the Polish Academy of Sciences in particular. After graduation, he began his research career at the Institute of Automatic Control, Polish Academy of Science in Warsaw. In 1970 he left his native country and hold various prestigious positions at top US universities. His research gained impetus and he soon established himself as a world authority in his areas of interest – notably, he was widely cons- ered a father of machine learning.
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