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Books > Computing & IT > Applications of computing > Artificial intelligence > General
This book presents different topics related to innovation, complexity, uncertainty, modeling and simulation, fuzzy logic, decision-making, aggregation operators, business and economic applications, among others. The chapters are the results of research presented at the International Workshop "Innovation, Complexity and Uncertainty in Economics and Business", held in Barcelona, in November 2019, by The Ibero-American Network for Competitiveness, Innovation and Development (REDCID in Spanish) and the Royal Academy of Economic and Financial Sciences (RACEF in Spanish). These papers are useful for junior and senior researchers in the area of economics and business.
This book presents recent research on interactive collaborative learning. We are currently witnessing a significant transformation in the development of education and especially post-secondary education. To face these challenges, higher education has to find innovative ways to quickly respond to these new needs. On the one hand, there is a pressure by the new situation in regard to the COVID pandemic. On the other hand, the methods and organizational forms of teaching and learning at higher educational institutions have changed rapidly in recent months. Scientifically based statements as well as excellent experiences (best practice) are absolutely necessary. These were the aims connected with the 24th International Conference on Interactive Collaborative Learning (ICL2021), which was held online by Technische Universitat Dresden, Germany, on 22-24 September 2021. Since its beginning in 1998, this conference is devoted to new approaches in learning with a focus on collaborative learning in Higher Education. Nowadays, the ICL conferences are a forum of the exchange of relevant trends and research results as well as the presentation of practical experiences in Learning and Engineering Pedagogy. In this way, we try to bridge the gap between 'pure' scientific research and the everyday work of educators. This book contains papers in the fields of Teaching Best Practices Research in Engineering Pedagogy Engineering Pedagogy Education Entrepreneurship in Engineering Education Project-Based Learning Virtual and Augmented Learning Immersive Learning in Healthcare and Medical Education. Interested readership includes policymakers, academics, educators, researchers in pedagogy and learning theory, schoolteachers, learning industry, further and continuing education lecturers, etc
Resulting from the need for greater realism in models of human and organizational behavior in military simulations, there has been increased interest in research on integrative models of human performance, both within the cognitive science community generally, and within the defense and aerospace industries in particular. This book documents accomplishments and lessons learned in a multi-year project to examine the ability of a range of integrated cognitive modeling architectures to explain and predict human behavior in a common task environment that requires multi-tasking and concept learning. This unique project, called the Agent-Based Modeling and Behavior Representation (AMBR) Model Comparison, involved a series of human performance model evaluations in which the processes and performance levels of computational cognitive models were compared to each other and to human operators performing the identical tasks. In addition to quantitative data comparing the performance of the models and real human performance, the book also presents a qualitatively oriented discussion of the practical and scientific considerations that arise in the course of attempting this kind of model development and validation effort. The primary audiences for this book are people in academia, industry, and the military who are interested in explaining and predicting complex human behavior using computational cognitive modeling approaches. The book should be of particular interest to individuals in any sector working in Psychology, Cognitive Science, Artificial Intelligence, Industrial Engineering, System Engineering, Human Factors, Ergonomics and Operations Research. Any technically or scientificallyoriented professional or student should find the material fully accessible without extensive mathematical background.
This book tackles the problems of engineering students and teachers while developing language skills through language education, transforming students' mind-set through cultural studies, developing students' intellectual abilities and personal qualities, and the use of information technologies in order to enhance the educational process. The International Conference Integration of Engineering Education and the Humanities: Global Intercultural Perspectives will take place 20-22 April 2022. It will be organized by Peter the Great Saint Petersburg Polytechnic University (Saint Petersburg, Russia) in collaboration with Research Centre Kairos (Tomsk, Russia). The event aims to raise discussions around a variety of aspects related to the integration of the humanities into engineering education. As such, the book will be of interest to the teachers, researchers and institutional leaders looking for the latest insights, experiences and research results on the topic.
Machine learning and data analytics are powering a wave of groundbreaking technologies. Is your company ready? If you read nothing else on how intelligent machines are revolutionizing business, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand how these technologies work together, how to adopt them, and why your strategy can't ignore them. In this book you'll learn how: - Data science, driven by artificial intelligence and machine learning, is yielding unprecedented business insights - Blockchain has the potential to restructure the economy - Drones and driverless vehicles are becoming essential tools - 3-D printing is making new business models possible - Augmented reality is transforming retail and manufacturing - Smart speakers are redefining the rules of marketing - Humans and machines are working together to reach new levels of productivity
Originally published in 1989 The Industrialization of Intelligence is a spirited blend of the principles of social science and computer technology. Critically praised in the United States and England by leading lights both literary and technological, it develops an original and provocative model of the interplay between computer systems and social systems. Noah Kennedy has composed a compelling story from key episodes in the development of the computer, and coupled it with a probing analysis of the true role of automation in modem society. The result firmly plants computer technology in the soil of western culture and denies the shrill claims that the information age represents a sudden break with the historical past. He starts with biographical vignettes from the lives of five pivotal thinkers, weaving their crucial insights into the larger fabric of contemporary and future society. He then gives a provocative forecast of the role of artificial intelligence in future society, and examines the probable impact of new computer technologies on employment and on the relationships between nations. The result is a reasoned understanding of our imminent future through a thoughtful analysis of our historical past.
This book, originally published in 1992, encapsulates ten years of research at the Open University's Human Cognition Research Laboratory. The research investigates the problems of novice programmers, and is strongly oriented toward the design and implementation of "programming environments" aimed at eliminating or easing novices' problems. A range of languages is studied: Pascal, SOLO, Lisp, Prolog and "Knowledge Engineering Programming". The primary emphasis of the empirical studies is to gain some understanding of novices' "mental models" of the inner workings of computers. Such (erroneous) models are constructed by novices in their own heads to account for the idiosyncrasies of particular programming languages. The primary emphasis of the implementations described in the book is the provision of "automatic debugging aids", i.e. artificial intelligence programs which can analyse novices' buggy programs, and make sense of them, thereby providing useful advice for the novices. Another related strand taken in some of the work is the concept of "pre-emptive design", i.e. the provision of tools such as syntax-directed editors and graphical tracers which help programmers avoid many frequently-occurring errors. A common thread throughout the book is its Cognitive Science/Artificial Intelligence orientation. AI tools are used, for instance, to construct simulation models of subjects writing programs, in order to provide insights into what their deep conceptual errors are. At the other extreme, AI programs which were developed in order to help student debug their programs are observed empirically in order to ensure that they provide facilities actually needed by real programmers. This book will be of great interest to advanced undergraduate, postgraduate, and professional researchers in Cognitive Science, Artificial Intelligence, and Human-Computer Interaction.
"Artificial Intelligence" (AI) a term coined in the 1950s actually dates back as far as 1943. Now very much in the public consciousness, AI research has fallen in and out of favour over the years. Routledge Library Editions: Artificial Intelligence (10 Volumes) brings together as one set, or individual volumes, a small interdisciplinary series of previously out-of-print titles, originally published between 1970 and 1994. Covering ground in computer science, literature, philosophy, psychology, psychotherapy and sociology, this set is a fascinating insight into the development of ideas surrounding AI.
Originally published in 1988, this was the first book to examine the development, application and evaluation of computer counselling and psychotherapy. Integrating concepts of artificial intelligence and psychotherapy, this book provided extensive research data that compared the human therapist to the computer therapist at the time. This title was intended for researchers, professionals, and students of psychotherapy and artificial intelligence. By exploring the automation of therapy and the design of empathetic software this book challenges counsellors and computer scientists to look at what may have been the most fascinating topic to arise in their fields for years to come.
This book constitutes the proceedings of the 3rd International Conference on Advances in Emerging Trends and Technologies (ICAETT 2021), held in Riobamba, Ecuador, on November 10-12, 2021, proudly organized by Facultad de Informatica y Electronica (FIE) at Escuela Superior Politecnica de Chimborazo and supported by GDEON. ICAETT 2021 brings together top researchers and practitioners working in different domains of computer science to share their expertise and to discuss future developments and potential collaborations. Presenting high-quality, peer-reviewed papers, the book discusses the following topic e-Business e-Learning Intelligent systems Machine vision Security Technology trends
Social critics and artificial intelligence experts have long
prophesized that computers and robots would soon relegate humans to
the dustbin of history. Many among the general population seem to
have shared this fear of a dehumanized future. But how are people
in the twenty-first century actually reacting to the ever-expanding
array of gadgets and networks at their disposal? Is computer
anxiety a significant problem, paralyzing and terrorizing millions,
or are ever-proliferating numbers of gadgets being enthusiastically
embraced? "Machines That Become Us" explores the increasingly
intimate relationship between people and their personal
communication technologies.
This new volume is the first to focus entirely on automated essay
scoring and evaluation. It is intended to provide a comprehensive
overview of the evolution and state-of-the-art of automated essay
scoring and evaluation technology across several disciplines,
including education, testing and measurement, cognitive science,
computer science, and computational linguistics.
Originally published in 1996 as a special issue journal, Artificial Intelligence Applications on Wall Street, presents a series of articles derived from papers at the Third International Conference on Artificial Intelligence Applications on Wall Street. The volume addresses how Artificial Intelligence can be used to address the variety of issues in that arise in the world of investments, such as synthetic instruments, forecasting and surveillance. It examines the potential problems surrounding economic assumption of rationality in a global market, and how artificial intelligence can push the bounds of rationality.
This book, a compilation of articles from Karl Lunt's long-running column for Nuts & Volts magazine, is a must-read for all beginner and intermediate-level robotics enthusiasts. Written in a friendly, straightforward manner, it contains entertaining anecdotes as well as practical advice and instruction. The author's stories about his various robotics projects will inspire you to try them yourself; and he shares his tips and code to help you. Possible projects range from transforming a TV remote control into a robot controller to building a robot from a drink cooler. You'll want to build them all; the author's enthusiasm for robotics is contagious!
This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the X International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2021). The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks, and technological networks.
The book consists of papers on selected topics of dependability analysis in computer systems and networks which were discussed during the 17th DepCoS-RELCOMEX conference held in Wroclaw, Poland, from June 27th to July 1st, 2022. Their collection will be an interesting source material for scientists, researchers, practitioners and students who are dealing with design, analysis and engineering of computer systems and networks and must ensure their dependable operation. Being probably the most complex technical systems ever engineered by man (and also, the most dynamically evolving ones), organization of contemporary computer systems and networks cannot be interpreted only as a structure built on the base of unreliable technical resources. Their evaluation must take into account a unique blend of interacting people, networks (together with mobile properties, cloud organization, Internet of Everything, etc.) and a large number of users dispersed geographically and constantly producing an unconceivable number of applications. Research methods being continuously developed for dependability analyses apply newest results of artificial and computational intelligence. Selection of papers in this book illustrates broad range of topics, often multi-disciplinary, which is considered in present-day dependability explorations; it also reveals an increasing role of the latest methods based on machine/deep learning and neural networks in these studies.
This book contains proceedings of the International Scientific Conference on Precision Agriculture and Agricultural Machinery Industry INTERAGROMASH 2021. It is a collection of original and fundamental research papers in areas such as agricultural machinery, agricultural materials science, construction of agricultural facilities, training of specialists in the field of agriculture, and other topics. Each of the presented chapters has undeniable scientific value and novelty in the corresponding research areas. The book is aimed for professionals and practitioners, for researchers, scholars, and producers. The materials presented here can be used in the educational process at specific agricultural universities or during vocational training at enterprises and will become an indispensable helper to farm managers in making the best agronomic decisions. The book is also useful for representatives of regional authorities, as it gives an idea of existing high-tech solutions for agriculture.
This book covers the following main topics: A) information and knowledge management; B) organizational models and information systems; C) software and systems modeling; D) software systems, architectures, applications and tools; E) multimedia systems and applications; F) computer networks, mobility and pervasive systems; G) intelligent and decision support systems; H) big data analytics and applications; I) human-computer interaction; J) ethics, computers and security; K) health informatics; L) information technologies in education; M) information technologies in radio communications; N) technologies for biomedical applications. This book is composed by a selection of articles from The 2022 World Conference on Information Systems and Technologies (WorldCIST'22), held between April 12 and 14, in Budva, Montenegro. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences, and challenges of modern information systems and technologies research, together with their technological development and applications.
Hybrid Intelligent Techniques for Pattern Analysis and Understanding outlines the latest research on the development and application of synergistic approaches to pattern analysis in real-world scenarios. An invaluable resource for lecturers, researchers, and graduates students in computer science and engineering, this book covers a diverse range of hybrid intelligent techniques, including image segmentation, character recognition, human behavioral analysis, hyperspectral data processing, and medical image analysis.
Accurate predictions of storm surge are of importance in many coastal areas in the world to avoid and mitigate its destructive impacts. For this purpose the physically-based (process) numerical models are typically utilized. However, in data-rich cases, one may use data-driven methods aiming at reconstructing the internal patterns of the modelled processes and relationships between the observed descriptive variables. This book focuses on data-driven modelling using methods of nonlinear dynamics and chaos theory. First, some fundamentals of physical oceanography, nonlinear dynamics and chaos, computational intelligence and European operational storm surge models are covered. After that a number of improvements in building chaotic models are presented: nonlinear time series analysis, multi-step prediction, phase space dimensionality reduction, techniques dealing with incomplete time series, phase error correction, finding true neighbours, optimization of chaotic model, data assimilation and multi-model ensemble prediction. The major case study is surge prediction in the North Sea, with some tests on a Caribbean Sea case. The modelling results showed that the enhanced predictive chaotic models can serve as an efficient tool for accurate and reliable short and mid-term predictions of storm surges in order to support decision-makers for flood prediction and ship navigation.
This text discusses the applications and optimization of emerging smart technologies in the field of healthcare. It further explains different modeling scenarios of the latest technologies in the health care system and compare the results to better understand the nature and progress of the disease in the human body that leads to early diagnosis and better cure of disease and treatment with the help of distributed technology. Covers the implementation models using technologies such as artificial intelligence, machine learning, deep learning with distributed systems for better diagnosis and treatment of diseases. Gives in-depth review of the technological advancements like advanced sensing technologies like Plasmonic sensors, usage of RFIDs and electronic diagnostic tools in the field of healthcare engineering Discusses possibilities of augmented reality and virtual reality interventions for providing unique solutions in medical science, clinical research, psychology, and neurological disorders Highlights the future challenges and risks involved in the application of smart technologies like Cloud computing, fog computing, IOT and distributed computing in heathcare. Confers to utilize the AI and ML and associated aids in healthcare sectors in the post Covid 19 to revitalize the medical set up Contributions included in the book will motivate the technological developers and researchers to develop new algorithms and protocols in healthcare field. It will serve as the vast place for knowledge regarding healthcare health care delivery, health care management, health care in governance, and health monitoring approaches using distributed environments. It will serve as an ideal reference text for graduate students and researchers in diverse engineering fields including electrical, electronics and communication, computer, and biomedical.
Prostheses, assistive systems, and rehabilitation systems are essential to increasing the quality of life for people with disabilities. Research and development over the last decade has resulted in enormous advances toward that goal-none more so than the development of intelligent systems and technologies.
Reviews technological advances in microbial biotechnology for sustainable agriculture using artificial intelligence and molecular biology approach Provides information on the fusion between microbial biotechnology and agriculture Specifies the influence of climate changes on livestock, agriculture, environment Discusses sustainable agriculture for food security and poverty alleviation Explores current biotechnology advances in food and agriculture sectors for sustainable crop production
Originally published in 1995, this volume is the direct result of a conference in which a number of leading researchers from the fields of artificial intelligence and biology gathered to examine whether there was any ground to assume that a new AI paradigm was forming itself and what the essential ingredients of this new paradigm were. A great deal of scepsis is justified when researchers, particularly in the cognitive sciences, talk about a new paradigm. Shifts in paradigm mean not only new ideas but also shifts in what constitutes good problems, what counts as a result, the experimental practice to validate results, and the technological tools needed to do research. Due to the complexity of the subject matter, paradigms abound in the cognitive sciences -- connectionism being the most prominent newcomer in the mid-1980s. This workshop group was brought together in order to clarify the common ground, see what had been achieved so far, and examine in which way the research could move further. This volume is a reflection of this important meeting. It contains contributions which were distributed before the workshop but then substantially broadened and revised to reflect the workshop discussions and more recent technical work. Written in polemic form, sometimes criticizing the work done thus far within the new paradigm, this collection includes research program descriptions, technical contributions, and position papers.
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