"This book assembles semiotics and artificial intelligence techniques in order to design new kinds of intelligence systems; it changes the research field of artificial intelligence by incorporating the study of meaning processes (semiosis), from the perspective of formal sciences, linguistics, and philosophy"--Provided by publisher.
This book presents a system view of the digital scientific and technological revolution, including its genesis and prerequisites, current trends, as well as current and potential issues and future prospects. It gathers selected research papers presented at the 12th International Scientific and Practical Conference, organized by the Institute of Scientific Communications. The conference “Artificial Intelligence: Anthropogenic Nature vs. Social Origin” took place on December 5–7, 2019 in Krasnoyarsk, Russia. The book is intended for academic researchers and independent experts studying the social and human aspects of the Fourth Industrial Revolution and the associated transition to the digital economy and Industry 4.0, as well as the creators of the legal framework for this process and its participants – entrepreneurs, managers, employees and consumers. It covers a variety of topics, including “intelligent” technologies and artificial intelligence, the digital economy, the social environment of the Fourth Industrial Revolution and its consequences for humans, the regulatory framework of the Fourth Industrial Revolution, and the “green” consequences, prospects and financing of the Fourth Industrial Revolution.
"This set of books represents a detailed compendium of authoritative, research-based entries that define the contemporary state of knowledge on technology"--Provided by publisher.
This book constitutes the refereed proceedings of the Second International Workshop on Autonomous Intelligent Systems: Agents and Data Mining, AIS-ADM 2007, held in St. Petersburg, Russia in June 2007. The 17 revised full papers and six revised short papers presented together with four invited lectures cover agent and data mining, agent competition and data mining, as well as text mining, semantic Web, and agents.
Can semiotics and computers be compatible? Can computation advance semiotics by enhancing the scientific basis of the theory of signs? Coupling semiotics, a philosophical and phenomenological tradition concerned with theories of signs, with computation, a formal discipline, may seem controversial and paradoxical. Computational Semiotics tackles these controversies head-on and attempts to bridge this gap. Showing how semiotics can build the same type of conceptual, formal, and computational models as other scientific projects, this book opens up a rich domain of inquiry toward the formal understanding of semiotic artifacts and processes. Examining how pairing semiotics with computation can bring more methodological rigor and logical consistency to the epistemic quest for the forms and functions of meaning, without compromising the important interpretive dynamics of semiotics, this book offers a new cutting-edge, model-driven theory to the field.
Bloomsbury Semiotics offers a state-of-the-art overview of the entire field of semiotics by revealing its influence on a wide range of disciplinary perspectives. With four volumes spanning theory, method and practice across the disciplines, this definitive reference work emphasizes and strengthens common bonds shared across intellectual cultures, and facilitates the discovery and recovery of meaning across fields. It comprises: Volume 1: History and Semiosis Volume 2: Semiotics in the Natural and Technical Sciences Volume 3: Semiotics in the Arts and Social Sciences Volume 4: Semiotic Movements Written by leading international experts, the chapters provide comprehensive overviews of the history and status of semiotic inquiry across a diverse range of traditions and disciplines. Together, they highlight key contemporary developments and debates along with ongoing research priorities. Providing the most comprehensive and united overview of the field, Bloomsbury Semiotics enables anyone, from students to seasoned practitioners, to better understand and benefit from semiotic insight and how it relates to their own area of study or research. Volume 4: Semiotic Movements explores relationships between semiotics and closely related contemporary movements, strengthening the dialogue and collaboration between them. The movements examined include communication theory, systems theory, digital humanities, phenomenology, translation studies, multimodality studies, cognitive linguistics, and cognitive science.
This volume stresses the contemporary relevance of semiotics. The introductory chapter shows how the collection of papers emphasises crossings at the material level of physical reality as well as in their semio-cognitive and cultural implications, questioning the delimitation of interdisciplinary borders between the social sciences and humanities and STEM disciplines. The volume shows how semiotics continues to provide a framework for emerging knowledge traditions without completely disregarding its past. Through explorations in fields as wide apart as ecological psychology and visualisation systems, by finding correspondences between the arithmetic of music and cosmic energies or between the pedagogic significance of images and habitat facilities, as well as using investigation tools ranging from the mathematical representation of concepts to science education, this book addresses multifarious aspects and implications of culture and cognition, standing convincing proof that semiotics is as alive, productive and scholarly useful as ever.
The papers in this volume comprise the refereed proceedings of the conference ‘ Artificial Intelligence in Theory and Practice’ (IFIP AI 2008), which formed part of the 20th World Computer Congress of IFIP, the International Federation for Information Processing (WCC-2008), in Milan, Italy in September 2008. The conference is organised by the IFIP Technical Committee on Artificial Intelligence (Technical Committee 12) and its Working Group 12.5 (Artificial Intelligence Applications). All papers were reviewed by at least two members of our Program Committee. Final decisions were made by the Executive Program Committee, which comprised John Debenham (University of Technology, Sydney, Australia), Ilias Maglogiannis (University of Aegean, Samos, Greece), Eunika Mercier-Laurent (KIM, France) and myself. The best papers were selected for the conference, either as long papers (maximum 10 pages) or as short papers (maximum 5 pages) and are included in this volume. The international nature of IFIP is amply reflected in the large number of countries represented here. The conference also featured invited talks by Prof. Nikola Kasabov (Auckland University of Technology, New Zealand) and Prof. Lorenza Saitta (University of Piemonte Orientale, Italy). I should like to thank the conference chair, John Debenham for all his efforts and the members of our program committee for reviewing papers to a very tight deadline.
The observation of nature has been the inspiration for many materials, laws, and theories, as well as computational methods. Nature-Inspired computing Design, Development, and Applications covers all the main areas of natural computing, from methods to computationally synthesized natural phenomena, to computing paradigms based on natural materials. This volume is comprised of ideas and research from nature to develop computational systems or materials to perform computation. Researchers, academic educators, and professionals will find a comprehensive view of all aspects of natural computing with emphasis on its main branches.
The first comparative examination of planning paradigms This text begins with the principle that the ability to anticipateand plan is an essential feature of intelligent systems, whetherhuman or machine. It further assumes that better planning resultsin greater achievements. With these principles as a foundation,Planning in Intelligent Systems provides readers with the toolsneeded to better understand the process of planning and to becomebetter planners themselves. The text is divided into two parts: * Part One, "Theoretical," discusses the predominant schools ofthought in planning: psychology and cognitive science,organizational science, computer science, mathematics, artificialintelligence, and systems theory. In particular, the book examinescommonalities and differences among the goals, methods, andtechniques of these various approaches to planning. The result is abetter understanding of the process of planning through thecross-fertilization of ideas. Each chapter contains a shortintroduction that sets forth the interrelationships of that chapterto the main ideas featured in the other chapters. * Part Two, "Practical," features six chapters that center on acase study of The Netherlands Railways. Readers learn to applytheory to a real-world situation and discoverhow expanding theirrepertoire of planning methods can help solve seemingly intractableproblems. All chapters have been contributed by leading experts in thevarious schools of planning and carefully edited to ensure aconsistent high standard throughout. This book is designed to not only expand the range of planningtools used, but also to enable readers to use them moreeffectively. It challenges readers to look at new approaches andlearn from new schools of thought. Planning in Intelligent Systemsdelivers effective planning approaches for researchers, professors,students, and practitioners in artificial intelligence, computerscience, cognitive psychology, and mathematics, as well as industryplanners and managers.
