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Cybernetical Intelligence
CYBERNETICAL INTELLIGENCE Highly comprehensive, detailed, and up-to-date overview of artificial intelligence and cybernetics, with practical examples and supplementary learning resources Cybernetical Intelligence: Engineering Cybernetics with Machine Intelligence is a comprehensive guide to the field of cybernetics and neural networks, as well as the mathematical foundations of these technologies. The book provides a detailed explanation of various types of neural networks, including feedforward networks, recurrent neural networks, and convolutional neural networks as well as their applications to different real-world problems. This groundbreaking book presents a pioneering exploration of machine learning within the framework of cybernetics. It marks a significant milestone in the field’s history, as it is the first book to describe the development of machine learning from a cybernetics perspective. The introduction of the concept of “Cybernetical Intelligence” and the generation of new terminology within this context propel new lines of thought in the historical development of artificial intelligence. With its profound implications and contributions, this book holds immense importance and is poised to become a definitive resource for scholars and researchers in this field of study. Each chapter is specifically designed to introduce the theory with several examples. This comprehensive book includes exercise questions at the end of each chapter, providing readers with valuable opportunities to apply and strengthen their understanding of cybernetical intelligence. To further support the learning journey, solutions to these questions are readily accessible on the book’s companion site. Additionally, the companion site offers programming practice exercises and assignments, enabling readers to delve deeper into the practical aspects of the subject matter. Cybernetical Intelligence includes information on: The history and development of cybernetics and its influence on the development of neural networksDevelopments and innovations in artificial intelligence and machine learning, such as deep reinforcement learning, generative adversarial networks, and transfer learningMathematical foundations of artificial intelligence and cybernetics, including linear algebra, calculus, and probability theoryEthical implications of artificial intelligence and cybernetics as well as responsible and transparent development and deployment of AI systems Presenting a highly detailed and comprehensive overview of the field, with modern developments thoroughly discussed, Cybernetical Intelligence is an essential textbook that helps students make connections with real-life engineering problems by providing both theory and practice, along with a myriad of helpful learning aids.
R 4,233.00
Handbook of Research on Computational Methodologies in Gene Regulatory Networks
Recent advances in gene sequencing technology are now shedding light on the complex interplay between genes that elicit phenotypic behavior characteristic of any given organism. In order to mediate internal and external signals, the daunting task of classifying an organism's genes into complex signaling pathways needs to be completed. The Handbook of Research on Computational Methodologies in Gene Regulatory Networks focuses on methods widely used in modeling gene networks including structure discovery, learning, and optimization. This innovative Handbook of Research presents a complete overview of computational intelligence approaches for learning and optimization and how they can be used in gene regulatory networks.
R 12,626.47
Neural Networks
Sciences may be nowadays grouped into three classes, having as their subjects of study respectively Matter, Life and Intelligence. That "Intelligence" may be studied in a quantitative manner is a discovery of our age, not less significant in many ways than the 17th ceiltury realization that celestial phenomena are of one and the same nature as terrestrial and all other physical accidents. As the latter was accomplished through and accompanied by a major revolution in philosophy and method, so is now the scientific investigation of intelligent phenomena - although harely begun - already causing an unprecedented revolution in all our previous conceptions as mind and machine, society and organization. What electronic com puters have already accomplished in disclosing perspectives to sciences and imposing new approached to management is but a negligible change, if compared to those yet in store, which will closely follow the understanding of the many as yet unknown functional principles which make nervous systems act and react the way they do. The study of Neural Networks is the key point in the systematic quantitative investigation of such phenomena. With patience and humility, neuroanatomists and physiologists try to connect structure with function in systems of neurons which are "simple" enough to be studied with the extant techniques, either because of the paucity of their elements or because of the high degree of symmetry these possess (e. g.
R 1,611.01
Transactions on Computational Collective Intelligence XIV
These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This 14th issue contains 9 carefully selected and thoroughly revised contributions.
R 2,158.91
R 1,099.00
Topics in Artificial Intelligence Applied to Industry 4.0
Forward thinking resource discussing emerging AI and IoT technologies and how they are applied to Industry 4.0 Topics in Artificial Intelligence Applied to Industry 4.0 discusses the design principles, technologies, and applications of emerging AI and IoT solutions on Industry 4.0, explaining how to make improvements in infrastructure through emerging technologies. Providing a clear connection with different technologies such as IoT, Big Data, AR and VR and Blockchain, this book presents security, privacy, trust, and other issues whilst delving into real-world problems and case studies. The text takes a highly practical approach, with a clear insight on how readers can increase productivity by drastically shortening the time period between the development of a new product and its delivery to customers in the market by 50%. This book also discusses how to save energy across systems to ensure competitiveness in a global market, and become more responsive in how they produce products and services for their consumers, such as by investing in flexible production lines. Written by highly qualified authors, Topics in Artificial Intelligence Applied to Industry 4.0 explores sample topics such as: Quantum machine learning, neural network implementation, and cloud and data analytics for effective analysis of industrial dataComputer vision, emerging networking technologies, industrial data spaces, and an industry vision for 2030 in both developing and developed nationsNovel or improved nature-inspired optimization algorithms in enhancing Industry 5.0 and the connectivity of any components for smart environmentFuture professions in agriculture, medicine, education, fitness, R&D, and transport and communication as a result of new technologies Aimed at researchers and students in the interdisciplinary fields of Smart Manufacturing and Smart Applications, Topics in Artificial Intelligence Applied to Industry 4.0 provides the perfect overview of technology from the perspective of modern society and operational environment.
R 4,071.00
Transactions on Computational Collective Intelligence XVII
These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems.
R 2,175.08
R 306.00
Intelligence Support Systems
Telecommunications service providers face increasing information assistance requests to help law enforcement while they simultaneously struggle with CapEx and OpEx reductions. On the other hand, law enforcement agencies face expensive telecommunication interface options for data collection as they battle with a growing backlog of subpoena requests. Intelligence Support Systems: Technologies for Lawful Intercepts addresses the information and intelligence needs of service providers, law enforcement agencies, representatives of governments and international standards bodies, and product and service vendors.This volume offers solutions for many technological challenges, explaining how to provide networking equipment and probes for lawful intercepts, and detailing methods for reducing the performance impacts on network equipment that result from intercepts. It explores how to access, collect, and deliver information in real-time and how to improve mediation efficiency while serving multiple functions. The book also covers data retention and preservation issues and examines how to standardize intercept technologies for various service portfolios and infrastructure components.Focusing on intelligence support systems (ISS), the text demonstrates how the information that an ISS gathers can be applied toward security, and illustrates how an ISS interfaces with billing, ordering, provisioning, authenticating, and law enforcement systems.
R 3,542.63
Artificial Intelligence Programming with Python
A hands-on roadmap to using Python for artificial intelligence programming In Practical Artificial Intelligence Programming with Python: From Zero to Hero, veteran educator and photophysicist Dr. Perry Xiao delivers a thorough introduction to one of the most exciting areas of computer science in modern history. The book demystifies artificial intelligence and teaches readers its fundamentals from scratch in simple and plain language and with illustrative code examples. Divided into three parts, the author explains artificial intelligence generally, machine learning, and deep learning. It tackles a wide variety of useful topics, from classification and regression in machine learning to generative adversarial networks. He also includes: Fulsome introductions to MATLAB, Python, AI, machine learning, and deep learningExpansive discussions on supervised and unsupervised machine learning, as well as semi-supervised learningPractical AI and Python “cheat sheet” quick referencesThis hands-on AI programming guide is perfect for anyone with a basic knowledge of programming—including familiarity with variables, arrays, loops, if-else statements, and file input and output—who seeks to understand foundational concepts in AI and AI development.
R 958.00
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R 3,233.45
Hands-On Generative Adversarial Networks with Keras
Develop generative models for a variety of real-world use-cases and deploy them to productionKey FeaturesDiscover various GAN architectures using Python and Keras libraryUnderstand how GAN models function with the help of theoretical and practical examplesApply your learnings to become an active contributor to open source GAN applicationsBook DescriptionGenerative Adversarial Networks (GANs) have revolutionized the fields of machine learning and deep learning. This book will be your first step towards understanding GAN architectures and tackling the challenges involved in training them.This book opens with an introduction to deep learning and generative models, and their applications in artificial intelligence (AI). You will then learn how to build, evaluate, and improve your first GAN with the help of easy-to-follow examples. The next few chapters will guide you through training a GAN model to produce and improve high-resolution images. You will also learn how to implement conditional GANs that give you the ability to control characteristics of GAN outputs. You will build on your knowledge further by exploring a new training methodology for progressive growing of GANs. Moving on, you'll gain insights into state-of-the-art models in image synthesis, speech enhancement, and natural language generation using GANs. In addition to this, you'll be able to identify GAN samples with TequilaGAN.By the end of this book, you will be well-versed with the latest advancements in the GAN framework using various examples and datasets, and you will have the skills you need to implement GAN architectures for several tasks and domains, including computer vision, natural language processing (NLP), and audio processing.Foreword by Ting-Chun Wang, Senior Research Scientist, NVIDIAWhat you will learnLearn how GANs work and the advantages and challenges of working with themControl the output of GANs with the help of conditional GANs, using embedding and space manipulationApply GANs to computer vision, NLP, and audio processingUnderstand how to implement progressive growing of GANsUse GANs for image synthesis and speech enhancementExplore the future of GANs in visual and sonic artsImplement pix2pixHD to turn semantic label maps into photorealistic imagesWho this book is forThis book is for machine learning practitioners, deep learning researchers, and AI enthusiasts who are looking for a perfect mix of theory and hands-on content in order to implement GANs using Keras. Working knowledge of Python is expected.
R 1,498.00
R 2,258.00
Smart Intelligent Computing and Communication Technology
Recent developments in the fields of intelligent computing and communication have paved the way for the handling of current and upcoming problems and brought about significant technological advancements. This book presents the proceedings of IConIC 2021, the 4th International Conference on Intelligent Computing, held on 26 and 27 March 2021 in Chennai, India. The principle objective of the annual IConIC conference is to provide an international scientific forum where participants can exchange innovative ideas in relevant fields and interact in depth through discussion with their peer group. The theme of the 2021 conference and this book is ‘Smart Intelligent Computing and Communication Technology’, and the 109 papers included here focus on the technological innovations and trendsetting initiatives in medicine, industry, education and security that are improving and optimizing business and technical processes and enabling inclusive growth. The papers are grouped under 2 headings: Evolution of Computing Intelligence; and Computing and Communication, and cover a broad range of intelligent-computing research and applications.The book provides an overview of the cutting-edge developments and emerging areas of study in the technological fields of intelligent computing, and will be of interest to researchers and practitioners from both academia and industry.
R 8,133.00
R 275.00
Agentenbasierte Schwarmintelligenz
Das autonome Verteilen von inhärenten Systemen ist eine komplexe, nicht immer funktionierende Aufgabe. Naturinspirierte Optimierungsmethoden wie die Partikel Schwarm Optimierung (PSO) sind nur bedingt verteilt parallel berechenbar. Tjorben Bogon entwickelt eine signifikante Verbesserung der PSO, welche auf einer Analyse der autonomen Anpassungs- und Verbesserungsmöglichkeiten von Metaheuristiken basiert. Der Fokus liegt dabei auf der autonomen dynamischen Steuerung und Integration von Zusatzwissen in den aktuellen Optimierungsverlauf. Der Autor untersucht, wie zum einen neues Wissen aus dem Optimierungsverlauf generiert werden kann und zum anderen, wie dieses Wissen verbreitet und in andere Optimierungen eingebunden werden kann. Er analysiert diese Aufgaben unter der Prämisse einer Anbindung eines Agentensystems und zeigt, wie die Optimierung effizienter ausgeführt und wie sie parallel kooperativ durchgeführt werden kann.
R 2,381.00
Intelligent Workloads at the Edge
Explore IoT, data analytics, and machine learning to solve cyber-physical problems using the latest capabilities of managed services such as AWS IoT Greengrass and Amazon SageMakerKey FeaturesAccelerate your next edge-focused product development with the power of AWS IoT GreengrassDevelop proficiency in architecting resilient solutions for the edge with proven best practicesHarness the power of analytics and machine learning for solving cyber-physical problemsBook DescriptionThe Internet of Things (IoT) has transformed how people think about and interact with the world. The ubiquitous deployment of sensors around us makes it possible to study the world at any level of accuracy and enable data-driven decision-making anywhere. Data analytics and machine learning (ML) powered by elastic cloud computing have accelerated our ability to understand and analyze the huge amount of data generated by IoT. Now, edge computing has brought information technologies closer to the data source to lower latency and reduce costs.This book will teach you how to combine the technologies of edge computing, data analytics, and ML to deliver next-generation cyber-physical outcomes. You'll begin by discovering how to create software applications that run on edge devices with AWS IoT Greengrass. As you advance, you'll learn how to process and stream IoT data from the edge to the cloud and use it to train ML models using Amazon SageMaker. The book also shows you how to train these models and run them at the edge for optimized performance, cost savings, and data compliance.By the end of this IoT book, you'll be able to scope your own IoT workloads, bring the power of ML to the edge, and operate those workloads in a production setting.What you will learnBuild an end-to-end IoT solution from the edge to the cloudDesign and deploy multi-faceted intelligent solutions on the edgeProcess data at the edge through analytics and MLPackage and optimize models for the edge using Amazon SageMakerImplement MLOps and DevOps for operating an edge-based solutionOnboard and manage fleets of edge devices at scaleReview edge-based workloads against industry best practicesWho this book is forThis book is for IoT architects and software engineers responsible for delivering analytical and machine learning–backed software solutions to the edge. AWS customers who want to learn and build IoT solutions will find this book useful. Intermediate-level experience with running Python software on Linux is required to make the most of this book.
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R 1,546.00
R 790.00
Künstliche Intelligenz und Entscheidungstheorie
Die betriebswinschaftliche Entscheidungstheorie, die in den 6O-er und 70-er Jahren in Deutschland, vor aHem angeregt durch Arbeiten von Simon, mit den Veroffentlichungen von Heinen und Kirsch eine Phase groBer Fruchtbarkeit erlebte, durchlauft seither eine Periode deutlicher Stagnation. Ein wesentlicher Grund dafiir konnte sein, daB die darnaJigen Versuche, die deskriptive Entscheidungstheorie zu tragfahigen Erklarungsmodellen auszubauen, die eine fundierte Grundlage zur Ableitung von Gestaltungsempfehlungen ge liefert hatten, gescheitert sind. Vielmehr ist die deskriptive Entscheidungstheorie in weiten Tei!en tiber reine Beschreibungen des Verhaltens nicht hinausgekommen. Andererseits hat auch die normative Entscheidungstheorie, der altere Zweig der Entscheidungstheorie, fUr die Gestaltung betrieblicher Entscheidungen wenig Bedeutung erlangt, vor allem wei! ihre Informationsannahmen auch bei den Entscheidungsmodellen unter Unsicherheit sehr re striktiv sind, d. h. daB ein wesentlicher Teil realer Problemstellungen als gelost bzw. nicht existent vorausgesetzt wird. So wird immer unterstellt, daB bei einem Problem die Problemstellung und die Zielvorgabe eindeutig sei, die Alternativen zur Problemlosung aile bekannt seien, die potentiell eintretenden Umweltzustande bekannt seien, jeder Alternative beztiglich jeder denkbaren Umweltsituation eindeutig ein Ergebnis beztiglich jeden ZieJes zugeordnet werden konne und lediglich der Informationsgrad des Eintritts von Umweltsituationen je nach Typ des Entscheidungsmodells variiere. Demgegentiber bestehen die Schwierigkeiten bei der Handhabung realer (betriebswinschaftlicher) Diagnoseprobleme hliufig gerade im Fehlen oder der Zweifelhaftigkeit der zur Beschreibung und zur Beurteilung der vorliegenden Situation notwendigen Informationen. Diagnoseprobleme sind eine in der Betriebswinschaft hliufig auftretende Problemklasse. Dabei ist eine bestimmte vorliegende Situation zu erkennen und zu klassifizieren, der eine bestimmte Handlung oder Folgerung zuzuordnen ist."
R 1,711.78
R 1,822.00
Artificial Intelligence at MIT
The broad range of material included in these volumes suggests to the newcomer the nature of the field of artificial intelligence, while those with some background in AI will appreciate the detailed coverage of the work being done at MIT. The results presented are related to the underlying methodology. Each chapter is introduced by a short note outlining the scope of the problem begin taken up or placing it in its historical context. Contents, Volume I Expert Problem Solving: Qualitative and Quantitative Reasoning in Classical Mechanics * Problem Solving About Electrical Circuits * Explicit Control of Reasoning * A Glimpse of Truth Maintenance * Design of a Programmer's Apprentice * Natural Language Understanding and Intelligent Computer Coaches: A Theory of Syntactic Recognition for Natural Language * Disambiguating References and Interpreting Sentence Purpose in Discourse * Using Frames in Scheduling * Developing Support Systems for Information Analysis * Planning and Debugging in Elementary Programming * Representation and Learning: Learning by Creating and Justifying Transfer Frames * Descriptions and the Specialization of Concept * The Society Theory of Thinking * Representing and Using Real-World Knowledge
R 2,179.49
Electronics, Communications and Networks
It is hard to imagine a world without electronic communication networks, so dependent have we all become on the networks which now exist and have become part of the fabric of our daily lives. This book presents papers from CECNet 2023, the 13th International Conference on Electronics, Communications and Networks, held as a hybrid event, in person in Macau, China and online via Microsoft Teams, from 17-20 November 2023. This annual conference provides a comprehensive, global forum for experts and participants from academia to exchange ideas and present the results of ongoing research in state-of-the-art areas of electronics technology, communications engineering and technology, wireless communications engineering and technology, and computer engineering and technology. A total of 324 submissions were received for the conference, and those which qualified by virtue of falling under the scope of the conference topics were exhaustively reviewed by program committee members and peer-reviewers, taking into account the breadth and depth of the relevant research topics. The 101 selected contributions included in this book present innovative, original ideas or results of general significance, supported by clear and rigorous reasoning and compelling new light in both evidence and method. Subjects covered divide broadly into 3 categories: electronics technology and VLSI, internet technology and signal processing, and information communication and communication networks.Providing an overview of current research and developments in these rapidly evolving fields, the book will be of interest to all those working with digital communications networks.
R 14,946.00
Computational Intelligence and Soft Computing
This book constitutes the refereed proceedings of the First International Conference on Computational Intelligence and Soft Computing, CISCom 2025, held in Melaka, Malaysia, during November 26-27, 2025. The 52 full papers presented in this volume were carefully reviewed and selected from 281 submissions. These papers focus on platform for high-quality research exchange and fostering collaboration among scholars from around the world.
R 3,903.07
Computational Intelligence and Its Applications
This book constitutes the refereed proceedings of the 6th IFIP TC 5 International Conference on Computational Intelligence and Its Applications, CIIA 2018, held in Oran, Algeria, in May 2018.The 56 full papers presented were carefully reviewed and selected from 202 submissions. They are organized in the following topical sections: data mining and information retrieval; evolutionary computation; machine learning; optimization; planning and scheduling; wireless communication and mobile computing; Internet of Things (IoT) and decision support systems; pattern recognition and image processing; and semantic web services.
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R 598.00
Research and Development in Intelligent Systems XXVIII
The papers in this volume are the refereed papers presented at AI-2011, the Thirty-first SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2011 in both the technical and the application streams.They present new and innovative developments and applications, divided into technical stream sections on Planning, Evolutionary Algorithms, Speech and Vision, and Machine Learning, followed by application stream sections on Knowledge Discovery and Data Mining, Machine Learning, Evolutionary Algorithms and AI in Action. The volume also includes the text of short papers presented as posters at the conference.This is the twenty-eighth volume in the Research and Development in Intelligent Systems series, which also incorporates the nineteenth volume in the Applications and Innovations in Intelligent Systems series. These series are essential reading for those who wish to keep up to date with developments in this important field.
R 6,261.23
R 534.00
R 595.00
Service Intelligence and Service Science
Service Intelligence and Service Science: Evolutionary Technologies and Challenges the emerging fields of service intelligence and service science, positioning them as the most promising directions for the evolution of service computing. This book demonstrates the critical role such areas play in supporting service computing processes, and furthers an increase in current research, best practices, and new directions in service computing technologies and applications.
R 6,987.67
R 439.00
