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1 Huang, Haiping Statistical Mechanics of Neural Networks I11949 2021 eBook  
2 Visvizi, Anna Artificial Intelligence and Its Contexts I11916 2021 eBook  
3 Braha, Dan Unifying Themes in Complex Systems X I11830 2021 eBook  
4 Kulasiri, Don Chemical Master Equation for Large Biological Networks I11686 2021 eBook  
5 Dainton, Barry Minding the Future I11673 2021 eBook  
6 Knechtli, Francesco Lattice Quantum Chromodynamics I10410 2017 eBook  
7 Ant??o, R??mulo Type-2 Fuzzy Logic I10250 2017 eBook  
8 Gon??alves, Bruno Complex Networks VIII I10047 2017 eBook  
9 Chui, Charles K Kalman Filtering I09935 2017 eBook  
10 Cornelius, Sean Complex Networks IX I09914 2018 eBook  
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TitleStatistical Mechanics of Neural Networks
Author(s)Huang, Haiping
PublicationSingapore, Springer Nature Singapore, 2021.
DescriptionXVIII, 296 p. 62 illus., 40 illus. in color : online resource
Abstract NoteThis book highlights a comprehensive introduction to the fundamental statistical mechanics underneath the inner workings of neural networks. The book discusses in details important concepts and techniques including the cavity method, the mean-field theory, replica techniques, the Nishimori condition, variational methods, the dynamical mean-field theory, unsupervised learning, associative memory models, perceptron models, the chaos theory of recurrent neural networks, and eigen-spectrums of neural networks, walking new learners through the theories and must-have skillsets to understand and use neural networks. The book focuses on quantitative frameworks of neural network models where the underlying mechanisms can be precisely isolated by physics of mathematical beauty and theoretical predictions. It is a good reference for students, researchers, and practitioners in the area of neural networks
ISBN,Price9789811675706
Keyword(s)1. ARTIFICIAL INTELLIGENCE 2. Computational Intelligence 3. EBOOK 4. EBOOK - SPRINGER 5. Mathematical Models of Cognitive Processes and Neural Networks 6. Neural networks (Computer science)?? 7. STATISTICAL MECHANICS 8. STATISTICAL PHYSICS
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2.     
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TitleArtificial Intelligence and Its Contexts : Security, Business and Governance
Author(s)Visvizi, Anna;Bodziany, Marek
PublicationCham, Springer International Publishing, 2021.
DescriptionVIII, 240 p. 31 illus., 13 illus. in color : online resource
Abstract NoteThis book offers a comprehensive approach to the question of how artificial intelligence (AI) impacts politics, economy, and the society today. In this view, it is quintessential for understanding the complex nature of AI and its role in today???s world. The book has been divided into three parts. Part one is devoted to the question of how AI will be used for security and defense purposes, including combat in war zones. Part two looks at the value added of AI and machine learning for decision-making in the fields of politics and business. Part three consists of case studies???covering the EU, the USA, Saudi Arabia, Portugal, and Poland???that discuss how AI is being used in the realms of politics, security and defense. The discussion in the book opens with the question of the nature of AI, as well as of ethics and the use of AI in combat. Subsequently, the argument covers issues as diverse as the militarization of AI, the use of AI in strategic studies and military strategy design. These topics are followed by an insight into AI and strategic communication (StratCom), including disinformation, as well as into AI and finance. The case-studies included in part 3 of the book offer a captivating overview of how AI is being employed to stimulate growth and development, to promote data- and evidence-driven policy-making, to enable efficient and inclusive digital transformation and other related issues. Written by academics and practitioners in an academically sound, yet approachable manner, this volume queries issues and topics that form the thrust of processes that transform world politics, economics and society. As such, this volume will serve as the primer for students, researchers, lectures and other professionals who seek to understand and engage with the variety of issues AI implicates
ISBN,Price9783030889722
Keyword(s)1. ARTIFICIAL INTELLIGENCE 2. Computer crimes 3. Cybercrime 4. EBOOK 5. EBOOK - SPRINGER 6. Security Science and Technology 7. Security systems
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3.     
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TitleUnifying Themes in Complex Systems X : Proceedings of the Tenth International Conference on Complex Systems
Author(s)Braha, Dan;de Aguiar, Marcus A. M;Gershenson, Carlos;Morales, Alfredo J;Kaufman, Les;Naumova, Elena N;Minai, Ali A;Bar-Yam, Yaneer
PublicationCham, Springer International Publishing, 2021.
DescriptionXIV, 444 p. 137 illus., 95 illus. in color : online resource
Abstract NoteThe International Conference on Complex Systems (ICCS) offers a unique interdisciplinary venue for researchers from the physical and biological sciences, social sciences, psychology and cognitive science, engineering, medicine, human systems, and global systems. This proceedings volume gathers selected papers from the conference. The New England Complex Systems Institute (NECSI) has been instrumental in the development of complex systems science and its applications. NECSI pursues research, education, knowledge dissemination, and community development efforts around the world to promote the study of complex systems and its application for the benefit of society. NECSI hosts the International Conference on Complex Systems and publishes the NECSI Book.
ISBN,Price9783030673185
Keyword(s)1. Applied Dynamical Systems 2. ARTIFICIAL INTELLIGENCE 3. COMPLEX SYSTEMS 4. DYNAMICS 5. EBOOK 6. EBOOK - SPRINGER 7. MATHEMATICAL PHYSICS 8. NONLINEAR THEORIES 9. SYSTEM THEORY 10. Theoretical, Mathematical and Computational Physics
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4.     
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TitleChemical Master Equation for Large Biological Networks : State-space Expansion Methods Using AI
Author(s)Kulasiri, Don;Kosarwal, Rahul
PublicationSingapore, Springer Nature Singapore, 2021.
DescriptionXVIII, 217 p. 372 illus., 104 illus. in color : online resource
Abstract NoteThis book highlights the theory and practical applications of the chemical master equation (CME) approach for very large biochemical networks, which provides a powerful general framework for model building in a variety of biological networks. The aim of the book is to not only highlight advanced numerical solution methods for the CME, but also reveal their potential by means of practical examples. The case studies presented are mainly from biology; however, the applications from novel methods are discussed comprehensively, underlining the interdisciplinary approach in simulation and the potential of the chemical master equation approach for modelling bionetworks. The book is a valuable guide for researchers, graduate students, and professionals alike
ISBN,Price9789811653513
Keyword(s)1. ARTIFICIAL INTELLIGENCE 2. BIOINFORMATICS 3. BIOMATHEMATICS 4. Computational and Systems Biology 5. Computational Intelligence 6. Computational Physics and Simulations 7. COMPUTER SIMULATION 8. EBOOK 9. EBOOK - SPRINGER 10. Mathematical and Computational Biology 11. MATHEMATICAL PHYSICS
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5.     
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TitleMinding the Future : Artificial Intelligence, Philosophical Visions and Science Fiction
Author(s)Dainton, Barry;Slocombe, Will;Tanyi, Attila
PublicationCham, Springer International Publishing, 2021.
DescriptionXIV, 287 p. 5 illus., 3 illus. in color : online resource
Abstract NoteBringing together literary scholars, computer scientists, ethicists, philosophers of mind, and scholars from affiliated disciplines, this collection of essays offers important and timely insights into the pasts, presents, and, above all, possible futures of Artificial Intelligence. This book covers topics such as ethics and morality, identity and selfhood, and broader issues about AI, addressing questions about the individual, social, and existential impacts of such technologies. Through the works of science fiction authors such as Isaac Asimov, Stanislaw Lem, Ann Leckie, Iain M. Banks, and Martha Wells, alongside key visual productions such as Ex Machina, Westworld, and Her, contributions illustrate how science fiction might inform potential futures as well as acting as a springboard to bring disciplinary knowledge to bear on significant developments of Artificial Intelligence. Addressing a broad, interdisciplinary audience, both expert and non-expert readers gain an in-depth understanding of the wide range of pressing issues to which Artificial Intelligence gives rise, and the ways in which science fiction narratives have been used to represent them. Using science fiction in this manner enables readers to see how even fictional worlds and imagined futures have very real impacts on how we understand these technologies. As such, readers are introduced to theoretical positions on Artificial Intelligence through fictional works as well as encouraged to reflect on the diverse aspects of Artificial Intelligence through its many philosophical, social, legal, scientific, and cultural ramifications
ISBN,Price9783030642693
Keyword(s)1. ARTIFICIAL INTELLIGENCE 2. COMPUTER SCIENCE 3. EBOOK 4. EBOOK - SPRINGER 5. LITERATURE 6. PHILOSOPHY 7. Sociology
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6.     
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TitleLattice Quantum Chromodynamics : Practical Essentials
Author(s)Knechtli, Francesco;G??nther, Michael;Peardon, Michael
PublicationDordrecht, Springer Netherlands, 2017.
DescriptionXIII, 140 p. 12 illus., 1 illus. in color : online resource
Abstract NoteThis book provides an overview of the techniques central to lattice quantum chromodynamics, including modern developments. The book has four chapters. The first chapter explains the formulation of quarks and gluons on a Euclidean lattice. The second chapter introduces Monte Carlo methods and details the numerical algorithms to simulate lattice gauge fields. Chapter three explains the mathematical and numerical techniques needed to study quark fields and the computation of quark propagators. The fourth chapter is devoted to the physical observables constructed from lattice fields and explains how to measure them in simulations. The book is aimed at enabling graduate students who are new to the field to carry out explicitly the first steps and prepare them for research in lattice QCD
ISBN,Price9789402409994
Keyword(s)1. ARTIFICIAL INTELLIGENCE 2. EBOOK 3. EBOOK - SPRINGER 4. Elementary particles (Physics) 5. Elementary Particles, Quantum Field Theory 6. MATHEMATICAL PHYSICS 7. Quantum Field Theories, String Theory 8. QUANTUM FIELD THEORY 9. STRING THEORY
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7.     
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TitleType-2 Fuzzy Logic : Uncertain Systems??? Modeling and Control
Author(s)Ant??o, R??mulo
PublicationSingapore, Springer Singapore, 2017.
DescriptionX, 130 p. 71 illus : online resource
Abstract NoteThis book focuses on a particular domain of Type-2 Fuzzy Logic, related to process modeling and control applications. It deepens readers???understanding of Type-2 Fuzzy Logic with regard to the following three topics: using simpler methods to train a Type-2 Takagi-Sugeno Fuzzy Model;??using the principles of Type-2 Fuzzy Logic to reduce the influence of modeling uncertainties on a locally linear n-step ahead predictor; and??developing model-based control algorithms according to the Generalized Predictive Control principles using Type-2 Fuzzy Sets.?? ??Throughout the book, theory is always complemented with practical applications and readers are invited to take their learning process one step farther and implement their own applications using the algorithms??? source codes (provided).??As such, the book offers avaluable referenceguide for allengineers and researchers in the field ofcomputer science who are interested in intelligent systems, rule-based systems and modeling uncertainty
ISBN,Price9789811046339
Keyword(s)1. APPLICATION SOFTWARE 2. ARTIFICIAL INTELLIGENCE 3. Computational Intelligence 4. Control and Systems Theory 5. Control engineering 6. EBOOK 7. EBOOK - SPRINGER 8. Information Systems Applications (incl. Internet)
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8.     
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TitleComplex Networks VIII : Proceedings of the 8th Conference on Complex Networks CompleNet 2017
Author(s)Gon??alves, Bruno;Menezes, Ronaldo;Sinatra, Roberta;Zlatic, Vinko
PublicationCham, Springer International Publishing, 2017.
DescriptionXIV, 262 p. 88 illus., 75 illus. in color : online resource
Abstract NoteThis book collects the works presented at the 8th International Conference on Complex Networks (CompleNet) 2017 in Dubrovnik, Croatia, on March 21-24, 2017. CompleNet aims at bringing together researchers and practitioners working in areas related to complex networks. The past two decades has witnessed an exponential increase in the number of publications within this field. From biological systems to computer science, from economic to social systems, complex networks are becoming pervasive in many fields of science. It is this interdisciplinary nature of complex networks that CompleNet aims at addressing. The last decades have seen the emergence of complex networks as the language with which a wide range of complex phenomena in fields as diverse as physics, computer science, and medicine (to name a few) can be properly described and understood. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as network controllability, social structure, online behavior, recommendation systems, and network structure
ISBN,Price9783319542416
Keyword(s)1. Applications of Graph Theory and Complex Networks 2. ARTIFICIAL INTELLIGENCE 3. COMPLEXITY 4. COMPUTATIONAL COMPLEXITY 5. Computational Intelligence 6. Computational Social Sciences 7. EBOOK 8. EBOOK - SPRINGER 9. PHYSICS 10. Social sciences???Computer programs 11. Social sciences???Data processing
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9.     
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TitleKalman Filtering : with Real-Time Applications
Author(s)Chui, Charles K;Chen, Guanrong
PublicationCham, Springer International Publishing, 2017.
DescriptionXVIII, 247 p. 34 illus : online resource
Abstract NoteThis new edition presents a thorough discussion of the mathematical theory and computational schemes of Kalman filtering. The filtering algorithms are derived via different approaches, including a direct method consisting of a series of elementary steps, and an indirect method based on innovation projection. Other topics include Kalman filtering for systems with correlated noise or colored noise, limiting Kalman filtering for time-invariant systems, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and wavelet Kalman filtering for multiresolution analysis of random signals. Most filtering algorithms are illustrated by using simplified radar tracking examples. The style of the book is informal, and the mathematics is elementary but rigorous. The text is self-contained, suitable for self-study, and accessible to all readers with a minimum knowledge of linear algebra, probability theory, and system engineering. Over 100 exercises and problems with solutions help deepen the knowledge. This new edition has a new chapter on filtering communication networks and data processing, together with new exercises and new real-time applications
ISBN,Price9783319476124
Keyword(s)1. APPLIED MATHEMATICS 2. ARTIFICIAL INTELLIGENCE 3. Communications Engineering, Networks 4. EBOOK 5. EBOOK - SPRINGER 6. ECONOMIC THEORY 7. Economic Theory/Quantitative Economics/Mathematical Methods 8. ELECTRICAL ENGINEERING 9. ENGINEERING MATHEMATICS 10. Mathematical and Computational Engineering 11. Mathematical Methods in Physics 12. Numerical and Computational Physics, Simulation 13. PHYSICS
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10.    
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TitleComplex Networks IX : Proceedings of the 9th Conference on Complex Networks CompleNet 2018
Author(s)Cornelius, Sean;Coronges, Kate;Gon??alves, Bruno;Sinatra, Roberta;Vespignani, Alessandro
PublicationCham, Springer International Publishing, 2018.
DescriptionXV, 350 p. 90 illus., 81 illus. in color : online resource
Abstract NoteThis book aims to bring together researchers and practitioners working across domains and research disciplines to measure, model, and visualize complex networks. It collects the works presented at the 9th International Conference on Complex Networks (CompleNet) 2018 in Boston, MA in March, 2018. With roots in physical, information and social science, the study of complex networks provides a formal set of mathematical methods, computational tools and theories to describe prescribe and predict dynamics and behaviors of complex systems. Despite their diversity, whether the systems are made up of physical, technological, informational, or social networks, they share many common organizing principles and thus can be studied with similar approaches. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as group decision-making, brain and cellular connectivity, network controllability and resiliency, online activism, recommendation systems, and cyber security
ISBN,Price9783319731988
Keyword(s)1. Applications of Graph Theory and Complex Networks 2. ARTIFICIAL INTELLIGENCE 3. COMPLEXITY 4. COMPUTATIONAL COMPLEXITY 5. Computational Intelligence 6. Computational Social Sciences 7. EBOOK 8. EBOOK - SPRINGER 9. PHYSICS 10. Social sciences???Computer programs 11. Social sciences???Data processing
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