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Books > Computing & IT > Applications of computing > Artificial intelligence > General

Simulated Evolution and Learning - 11th International Conference, SEAL 2017, Shenzhen, China, November 10-13, 2017, Proceedings... Simulated Evolution and Learning - 11th International Conference, SEAL 2017, Shenzhen, China, November 10-13, 2017, Proceedings (Paperback, 1st ed. 2017)
Yuhui Shi, Kay Chen Tan, Mengjie Zhang, Ke Tang, Xiaodong Li, …
R2,497 R2,235 Discovery Miles 22 350 Save R262 (10%) Shipped within 7 - 12 working days

This book constitutes the refereed proceedings of the 11th International Conference on Simulated Evolution and Learning, SEAL 2017, held in Shenzhen, China, in November 2017. The 85 papers presented in this volume were carefully reviewed and selected from 145 submissions. They were organized in topical sections named: evolutionary optimisation; evolutionary multiobjective optimisation; evolutionary machine learning; theoretical developments; feature selection and dimensionality reduction; dynamic and uncertain environments; real-world applications; adaptive systems; and swarm intelligence.

Advances in Data Analysis with Computational Intelligence Methods - Dedicated to Professor Jacek Zurada (Hardcover, 1st ed.... Advances in Data Analysis with Computational Intelligence Methods - Dedicated to Professor Jacek Zurada (Hardcover, 1st ed. 2018)
Adam E Gaweda, Janusz Kacprzyk, Leszek Rutkowski, Gary G. Yen
R3,294 R2,981 Discovery Miles 29 810 Save R313 (10%) Shipped within 7 - 12 working days

This book is a tribute to Professor Jacek Zurada, who is best known for his contributions to computational intelligence and knowledge-based neurocomputing. It is dedicated to Professor Jacek Zurada, Full Professor at the Computational Intelligence Laboratory, Department of Electrical and Computer Engineering, J.B. Speed School of Engineering, University of Louisville, Kentucky, USA, as a token of appreciation for his scientific and scholarly achievements, and for his longstanding service to many communities, notably the computational intelligence community, in particular neural networks, machine learning, data analyses and data mining, but also the fuzzy logic and evolutionary computation communities, to name but a few. At the same time, the book recognizes and honors Professor Zurada's dedication and service to many scientific, scholarly and professional societies, especially the IEEE (Institute of Electrical and Electronics Engineers), the world's largest professional technical professional organization dedicated to advancing science and technology in a broad spectrum of areas and fields. The volume is divided into five major parts, the first of which addresses theoretic, algorithmic and implementation problems related to the intelligent use of data in the sense of how to derive practically useful information and knowledge from data. In turn, Part 2 is devoted to various aspects of neural networks and connectionist systems. Part 3 deals with essential tools and techniques for intelligent technologies in systems modeling and Part 4 focuses on intelligent technologies in decision-making, optimization and control, while Part 5 explores the applications of intelligent technologies.

Artificial Cognitive Systems - A Primer (Hardcover): David Vernon Artificial Cognitive Systems - A Primer (Hardcover)
David Vernon
R916 R695 Discovery Miles 6 950 Save R221 (24%) Shipped within 7 - 12 working days

A concise introduction to a complex field, bringing together recent work in cognitive science and cognitive robotics to offer a solid grounding on key issues. This book offers a concise and accessible introduction to the emerging field of artificial cognitive systems. Cognition, both natural and artificial, is about anticipating the need for action and developing the capacity to predict the outcome of those actions. Drawing on artificial intelligence, developmental psychology, and cognitive neuroscience, the field of artificial cognitive systems has as its ultimate goal the creation of computer-based systems that can interact with humans and serve society in a variety of ways. This primer brings together recent work in cognitive science and cognitive robotics to offer readers a solid grounding on key issues. The book first develops a working definition of cognitive systems-broad enough to encompass multiple views of the subject and deep enough to help in the formulation of theories and models. It surveys the cognitivist, emergent, and hybrid paradigms of cognitive science and discusses cognitive architectures derived from them. It then turns to the key issues, with chapters devoted to autonomy, embodiment, learning and development, memory and prospection, knowledge and representation, and social cognition. Ideas are introduced in an intuitive, natural order, with an emphasis on the relationships among ideas and building to an overview of the field. The main text is straightforward and succinct; sidenotes drill deeper on specific topics and provide contextual links to further reading.

Proceedings of the Second International Scientific Conference "Intelligent Information Technologies for Industry"... Proceedings of the Second International Scientific Conference "Intelligent Information Technologies for Industry" (IITI'17) - Volume 2 (Paperback, 1st ed. 2018)
Ajith Abraham, Sergey Kovalev, Valery Tarassov, Vaclav Snasel, Margreta Vasileva, …
R4,365 R3,922 Discovery Miles 39 220 Save R443 (10%) Shipped within 7 - 12 working days

This volume of Advances in Intelligent Systems and Computing highlights key scientific achievements and innovations in all areas of automation, informatization, computer science, and artificial intelligence. It gathers papers presented at the IITI 2017, the Second International Conference on Intelligent Information Technologies for Industry, which was held in Varna, Bulgaria on September 14-16, 2017. The conference was jointly co-organized by Technical University of Varna (Bulgaria), Technical University of Sofia (Bulgaria), VSB Technical University of Ostrava (Czech Republic) and Rostov State Transport University (Russia). The IITI 2017 brought together international researchers and industrial practitioners interested in the development and implementation of modern technologies for automation, informatization, computer science, artificial intelligence, transport and power electrical engineering. In addition to advancing both fundamental research and innovative applications, the conference is intended to establish a new dissemination platform and an international network of researchers in these fields.

Proceedings of the Second International Scientific Conference "Intelligent Information Technologies for Industry"... Proceedings of the Second International Scientific Conference "Intelligent Information Technologies for Industry" (IITI'17) - Volume 1 (Paperback, 1st ed. 2018)
Ajith Abraham, Sergey Kovalev, Valery Tarassov, Vaclav Snasel, Margreta Vasileva, …
R5,960 R5,335 Discovery Miles 53 350 Save R625 (10%) Shipped within 7 - 12 working days

This volume of Advances in Intelligent Systems and Computing highlights key scientific achievements and innovations in all areas of automation, informatization, computer science, and artificial intelligence. It gathers papers presented at the IITI 2017, the Second International Conference on Intelligent Information Technologies for Industry, which was held in Varna, Bulgaria on September 14-16, 2017. The conference was jointly co-organized by Technical University of Varna (Bulgaria), Technical University of Sofia (Bulgaria), VSB Technical University of Ostrava (Czech Republic) and Rostov State Transport University (Russia). The IITI 2017 brought together international researchers and industrial practitioners interested in the development and implementation of modern technologies for automation, informatization, computer science, artificial intelligence, transport and power electrical engineering. In addition to advancing both fundamental research and innovative applications, the conference is intended to establish a new dissemination platform and an international network of researchers in these fields.

Brain Storm Optimization Algorithms: Concepts, Principles and Applications (Hardcover, 1st ed. 2020): Shi Cheng, Yuhui Shi Brain Storm Optimization Algorithms: Concepts, Principles and Applications (Hardcover, 1st ed. 2020)
Shi Cheng, Yuhui Shi
R2,879 R2,566 Discovery Miles 25 660 Save R313 (11%) Shipped within 7 - 12 working days

Brain Storm Optimization (BSO) algorithms are a new kind of swarm intelligence method, which is based on the collective behavior of human beings, i.e., on the brainstorming process. Since the introduction of BSO algorithms in 2011, many studies on them have been conducted. They not only offer an optimization method, but could also be viewed as a framework of optimization techniques. The process employed in the algorithms could be simplified as a framework with two basic operations: the converging operation and the diverging operation. A "good enough" optimum could be obtained through recursive solution divergence and convergence. The resulting optimization algorithm would naturally have the capability of both convergence and divergence. This book is primarily intended for researchers, engineers, and graduate students with an interest in BSO algorithms and their applications. The chapters cover various aspects of BSO algorithms, and collectively provide broad insights into what these algorithms have to offer. The book is ideally suited as a graduate-level textbook, whereby students may be tasked with the study of the rich variants of BSO algorithms that involves a hands-on implementation to demonstrate the utility and applicability of BSO algorithms in solving optimization problems.

Brain-Computer Interface Research - A State-of-the-Art Summary 6 (Paperback, 1st ed. 2017): Christoph Guger, Brendan Allison,... Brain-Computer Interface Research - A State-of-the-Art Summary 6 (Paperback, 1st ed. 2017)
Christoph Guger, Brendan Allison, Mikhail Lebedev
R1,334 R1,120 Discovery Miles 11 200 Save R214 (16%) Shipped within 7 - 12 working days

This book presents compact and informative descriptions of the most promising new projects in brain-computer interface (BCI) research. As in earlier volumes in this series, the contributions come from many of the best-known groups in BCI research. Each of these chapters provides an overview of a project that was nominated for the most prestigious award in the BCI community: the Annual BCI Research Award. The book also contains an introduction and discussion with a review of major trends reflected in the awards. This volume also introduces a new type of contribution, namely a chapter"Trends in BCI Research" that summarizes a top trend in the BCI research community. This year's "Trends in BCI Research" addresses BCI technology to help patients with disorders of consciousness (DOC) and related conditions, including new work that goes beyond communication to diagnosis and even prediction.

Deep Learning and Missing Data in Engineering Systems (Hardcover, 1st ed. 2019): Collins Achepsah Leke, Tshilidzi Marwala Deep Learning and Missing Data in Engineering Systems (Hardcover, 1st ed. 2019)
Collins Achepsah Leke, Tshilidzi Marwala
R3,091 R2,366 Discovery Miles 23 660 Save R725 (23%) Shipped within 7 - 12 working days

Deep Learning and Missing Data in Engineering Systems uses deep learning and swarm intelligence methods to cover missing data estimation in engineering systems. The missing data estimation processes proposed in the book can be applied in image recognition and reconstruction. To facilitate the imputation of missing data, several artificial intelligence approaches are presented, including: deep autoencoder neural networks; deep denoising autoencoder networks; the bat algorithm; the cuckoo search algorithm; and the firefly algorithm. The hybrid models proposed are used to estimate the missing data in high-dimensional data settings more accurately. Swarm intelligence algorithms are applied to address critical questions such as model selection and model parameter estimation. The authors address feature extraction for the purpose of reconstructing the input data from reduced dimensions by the use of deep autoencoder neural networks. They illustrate new models diagrammatically, report their findings in tables, so as to put their methods on a sound statistical basis. The methods proposed speed up the process of data estimation while preserving known features of the data matrix. This book is a valuable source of information for researchers and practitioners in data science. Advanced undergraduate and postgraduate students studying topics in computational intelligence and big data, can also use the book as a reference for identifying and introducing new research thrusts in missing data estimation.

Algebraic Formalization of Smart Systems - Theory and Practice (Hardcover, 1st ed. 2018): Natalia Serdyukova, Vladimir Serdyukov Algebraic Formalization of Smart Systems - Theory and Practice (Hardcover, 1st ed. 2018)
Natalia Serdyukova, Vladimir Serdyukov
R2,898 R2,419 Discovery Miles 24 190 Save R479 (17%) Shipped within 7 - 12 working days

This book reveals the general laws of the theory of smart systems with the help of a very powerful and expressive language of algebraic formalization. It also shows how this language can be used to substantiate practical results in the field of smart systems, which previously had only an empirical justification. Further, it proposes a translation of the theory of smart systems from verbal language to a much more expressive language of algebraic formalization, allowing the laws of the theory of smart systems to be seen in a different light. In 1937 L. Bertalanffy proposed the concept of an algebraic system and the development of a mathematical apparatus for describing systems. In the 1970s, A.I. Mal'tsev developed a theory of algebraic systems connecting algebra and logic for studying algebraic and logical objects. In the 1990s, the concept of purities by predicates was introduced by one of the authors, and the book includes some of its applications. The concept, which is based on the theory of algebraic systems, allows clarification of the connections between quantitative and qualitative analysis of a system. The book is intended for readers who use elements of artificial intelligence in their work.

Privacy and Identity Management. Fairness, Accountability, and Transparency in the Age of Big Data - 13th IFIP WG 9.2,... Privacy and Identity Management. Fairness, Accountability, and Transparency in the Age of Big Data - 13th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School, Vienna, Austria, August 20-24, 2018, Revised Selected Papers (Hardcover, 1st ed. 2019)
Eleni Kosta, Jo Pierson, Daniel Slamanig, Simone Fischer-Hubner, Stephan Krenn
R1,742 R1,409 Discovery Miles 14 090 Save R333 (19%) Shipped within 7 - 12 working days

This book contains selected papers presented at the 13th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School on Privacy and Identity Management, held in Vienna, Austria, in August 2018. The 10 full papers included in this volume were carefully reviewed and selected from 27 submissions. Also included are reviewed papers summarizing the results of workshops and tutorials that were held at the Summer School as well as papers contributed by several of the invited speakers. The papers combine interdisciplinary approaches to bring together a host of perspectives: technical, legal, regulatory, socio-economic, social, societal, political, ethical, anthropological, philosophical, historical, and psychological.

Computational Intelligence (Hardcover): Alexandru Floares Computational Intelligence (Hardcover)
Alexandru Floares
R3,161 R2,391 Discovery Miles 23 910 Save R770 (24%) Shipped within 7 - 12 working days

Computational intelligence aims to emulate aspects of biological systems for developing software and/or hardware that learns and adapts. Such systems primarily include neural networks, fuzzy logic systems and evolutionary computation each of them including multiple active and fast growing research directions. This book presents new and ground-breaking research from world-renowned experts focusing on various topics related to computational intelligence. What makes this book particularly interesting is the variety of subjects attained, which offer a global perspective on this central research field in the Knowledge Age.

Applied Deep Learning - A Case-Based Approach to Understanding Deep Neural Networks (Paperback, 1st ed.): Umberto Michelucci Applied Deep Learning - A Case-Based Approach to Understanding Deep Neural Networks (Paperback, 1st ed.)
Umberto Michelucci
R864 R664 Discovery Miles 6 640 Save R200 (23%) Shipped within 7 - 11 working days

Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks. You'll begin by studying the activation functions mostly with a single neuron (ReLu, sigmoid, and Swish), seeing how to perform linear and logistic regression using TensorFlow, and choosing the right cost function. The next section talks about more complicated neural network architectures with several layers and neurons and explores the problem of random initialization of weights. An entire chapter is dedicated to a complete overview of neural network error analysis, giving examples of solving problems originating from variance, bias, overfitting, and datasets coming from different distributions. Applied Deep Learning also discusses how to implement logistic regression completely from scratch without using any Python library except NumPy, to let you appreciate how libraries such as TensorFlow allow quick and efficient experiments. Case studies for each method are included to put into practice all theoretical information. You'll discover tips and tricks for writing optimized Python code (for example vectorizing loops with NumPy). What You Will Learn Implement advanced techniques in the right way in Python and TensorFlow Debug and optimize advanced methods (such as dropout and regularization) Carry out error analysis (to realize if one has a bias problem, a variance problem, a data offset problem, and so on) Set up a machine learning project focused on deep learning on a complex dataset Who This Book Is For Readers with a medium understanding of machine learning, linear algebra, calculus, and basic Python programming.

Cognitive Neuroscience Robotics A - Synthetic Approaches to Human Understanding (Hardcover, 1st ed. 2016): Masashi Kasaki,... Cognitive Neuroscience Robotics A - Synthetic Approaches to Human Understanding (Hardcover, 1st ed. 2016)
Masashi Kasaki, Hiroshi Ishiguro, Mariko Osaka, Takashi Fujikado, Minoru Asada
R2,878 R2,445 Discovery Miles 24 450 Save R433 (15%) Shipped within 7 - 12 working days

Cognitive Neuroscience Robotics is the first introductory book on this new interdisciplinary area. This book consists of two volumes, the first of which, Synthetic Approaches to Human Understanding, advances human understanding from a robotics or engineering point of view. The second, Analytic Approaches to Human Understanding, addresses related subjects in cognitive science and neuroscience. These two volumes are intended to complement each other in order to more comprehensively investigate human cognitive functions, to develop human-friendly information and robot technology (IRT) systems, and to understand what kind of beings we humans are. Volume A describes how human cognitive functions can be replicated in artificial systems such as robots, and investigates how artificial systems could acquire intelligent behaviors through interaction with others and their environment.

Logical Foundations of Cyber-Physical Systems (Hardcover, 1st ed. 2018): Andre Platzer Logical Foundations of Cyber-Physical Systems (Hardcover, 1st ed. 2018)
Andre Platzer
R943 R859 Discovery Miles 8 590 Save R84 (9%) Shipped within 7 - 11 working days

Cyber-physical systems (CPSs) combine cyber capabilities, such as computation or communication, with physical capabilities, such as motion or other physical processes. Cars, aircraft, and robots are prime examples, because they move physically in space in a way that is determined by discrete computerized control algorithms. Designing these algorithms is challenging due to their tight coupling with physical behavior, while it is vital that these algorithms be correct because we rely on them for safety-critical tasks. This textbook teaches undergraduate students the core principles behind CPSs. It shows them how to develop models and controls; identify safety specifications and critical properties; reason rigorously about CPS models; leverage multi-dynamical systems compositionality to tame CPS complexity; identify required control constraints; verify CPS models of appropriate scale in logic; and develop an intuition for operational effects. The book is supported with homework exercises, lecture videos, and slides.

Python Data Analytics - With Pandas, NumPy, and Matplotlib (Paperback, 2nd ed.): Fabio Nelli Python Data Analytics - With Pandas, NumPy, and Matplotlib (Paperback, 2nd ed.)
Fabio Nelli
R831 R580 Discovery Miles 5 800 Save R251 (30%) Shipped within 7 - 12 working days

Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn. This revision is fully updated with new content on social media data analysis, image analysis with OpenCV, and deep learning libraries. Each chapter includes multiple examples demonstrating how to work with each library. At its heart lies the coverage of pandas, for high-performance, easy-to-use data structures and tools for data manipulation Author Fabio Nelli expertly demonstrates using Python for data processing, management, and information retrieval. Later chapters apply what you've learned to handwriting recognition and extending graphical capabilities with the JavaScript D3 library. Whether you are dealing with sales data, investment data, medical data, web page usage, or other data sets, Python Data Analytics, Second Edition is an invaluable reference with its examples of storing, accessing, and analyzing data. What You'll Learn Understand the core concepts of data analysis and the Python ecosystem Go in depth with pandas for reading, writing, and processing data Use tools and techniques for data visualization and image analysis Examine popular deep learning libraries Keras, Theano,TensorFlow, and PyTorch Who This Book Is For Experienced Python developers who need to learn about Pythonic tools for data analysis

Theory of Conditional Games (Hardcover, New): Wynn C Stirling Theory of Conditional Games (Hardcover, New)
Wynn C Stirling
R2,173 R2,001 Discovery Miles 20 010 Save R172 (8%) Shipped within 7 - 12 working days

Game theory explains how to make good choices when different decision makers have conflicting interests. The classical approach assumes that decision makers are committed to making the best choices for themselves regardless of the effect on others, but such an approach is less appropriate when cooperation, compromise and negotiation are important. This book describes conditional games, a form of game theory that accommodates multiple stakeholder decision-making scenarios where cooperation and negotiation are significant issues and where notions of concordant group behavior are important. Using classical binary preference relations as a point of departure, the book extends the concept of a preference ordering that permits stakeholders to modulate their preferences as functions of the preferences of others. As these conditional preferences propagate through a group of decision makers, they create social bonds that lead to notions of group concordance. This book is intended for all students and researchers of decision theory and game theory.

Artificial Intelligence in Second Language Learning - Raising Error Awareness (Paperback): Marina Dodigovic Artificial Intelligence in Second Language Learning - Raising Error Awareness (Paperback)
Marina Dodigovic
R682 R585 Discovery Miles 5 850 Save R97 (14%) Shipped within 7 - 12 working days

This volume argues that English as a second language can be learnt by adult learners if typical errors are corrected regularly. The recommended means of correction and remediation is artificial intelligence and its application within Intelligent Computer Assisted Language Learning. It describes original research demonstrating the success of this approach.

The Computational Brain (Paperback, 25th Anniversary Edition): Patricia S. Churchland, Terrence J. Sejnowski The Computational Brain (Paperback, 25th Anniversary Edition)
Patricia S. Churchland, Terrence J. Sejnowski
R825 R634 Discovery Miles 6 340 Save R191 (23%) Shipped within 7 - 12 working days

An anniversary edition of the classic work that influenced a generation of neuroscientists and cognitive neuroscientists. Before The Computational Brain was published in 1992, conceptual frameworks for brain function were based on the behavior of single neurons, applied globally. In The Computational Brain, Patricia Churchland and Terrence Sejnowski developed a different conceptual framework, based on large populations of neurons. They did this by showing that patterns of activities among the units in trained artificial neural network models had properties that resembled those recorded from populations of neurons recorded one at a time. It is one of the first books to bring together computational concepts and behavioral data within a neurobiological framework. Aimed at a broad audience of neuroscientists, computer scientists, cognitive scientists, and philosophers, The Computational Brain is written for both expert and novice. This anniversary edition offers a new preface by the authors that puts the book in the context of current research. This approach influenced a generation of researchers. Even today, when neuroscientists can routinely record from hundreds of neurons using optics rather than electricity, and the 2013 White House BRAIN initiative heralded a new era in innovative neurotechnologies, the main message of The Computational Brain is still relevant.

Automation 2017 - Innovations in Automation, Robotics and Measurement Techniques (Paperback, 1st ed. 2017): Roman Szewczyk,... Automation 2017 - Innovations in Automation, Robotics and Measurement Techniques (Paperback, 1st ed. 2017)
Roman Szewczyk, Cezary Zielinski, Malgorzata Kaliczynska
R6,008 R5,383 Discovery Miles 53 830 Save R625 (10%) Shipped within 7 - 12 working days

This book consists of papers presented at Automation 2017, an international conference held in Warsaw from March 15 to 17, 2017. It discusses research findings associated with the concepts behind INDUSTRY 4.0, with a focus on offering a better understanding of and promoting participation in the Fourth Industrial Revolution. Each chapter presents a detailed analysis of a specific technical problem, in most cases followed by a numerical analysis, simulation and description of the results of implementing the solution in a real-world context. The theoretical results, practical solutions and guidelines presented are valuable for both researchers working in the area of engineering sciences and practitioners looking for solutions to industrial problems.

Advances in Knowledge Discovery and Management - Volume 8 (Hardcover, 1st ed. 2020): Bruno Pinaud, Fabrice Guillet, Fabien... Advances in Knowledge Discovery and Management - Volume 8 (Hardcover, 1st ed. 2020)
Bruno Pinaud, Fabrice Guillet, Fabien Gandon, Christine Largeron
R2,432 R2,171 Discovery Miles 21 710 Save R261 (11%) Shipped within 7 - 12 working days

This book highlights novel research in Knowledge Discovery and Management (KDM), gathering the extended, peer-reviewed versions of outstanding papers presented at the annual conferences EGC'2017 & EGC'2018. The EGC conference cycle was founded by the International French-speaking EGC society ("Extraction et Gestion des Connaissances") in 2003, and has since become a respected fixture among the French-speaking community. In addition to the annual conference, the society organizes various other events in order to promote exchanges between researchers and companies concerned with KDM and its applications to business, administration, industry and public organizations. Addressing novel research in data science, semantic Web, clustering, and classification, the content presented here will chiefly benefit researchers interested in these fields, including Ph.D./M.Sc. students, at public and private laboratories alike.

An Introduction to MultiAgent Systems (Paperback, 2nd Edition): Michael Wooldridge An Introduction to MultiAgent Systems (Paperback, 2nd Edition)
Michael Wooldridge
R1,165 R907 Discovery Miles 9 070 Save R258 (22%) Shipped within 7 - 13 working days

The eagerly anticipated updated resource on one of the most important areas of research and development: multi-agent systems

Multi-agent systems allow many intelligent agents to interact with each other, and this field of study has advanced at a rapid pace since the publication of the first edition of this book, which was nearly a decade ago. With this exciting new edition, the coverage of multi-agents is completely updated to include several areas that have come to prominence in the last several years, including auctions, computational social choice, and markov decision processes. In turn, a variety of topics that were initially considered critical have dwindled in importance, so the coverage of that subject matter is decreased with this new edition. The result of this redefined balance of coverage is a timely and essential resource on a popular topic.Introduces you to the concept of agents and multi-agent systems and the main applications for which they are appropriateDiscusses the main issues surrounding the design of intelligent agents and a multi-agent societyDelves into a number of typical applications for agent technologyAddresses deductive reasoning agents, practical reasoning agents, reactive and hybrid agents, and moreReviews multi-agent decision making, communication and cooperation, and intelligent autonomous agents

By the end of the book, you will have a firm grasp on how agents are distinct from other software paradigms and understand the characteristics of applications that lend themselves to agent-oriented software.

Computers and Society - Modern Perspectives (Hardcover): Ronald M. Baecker Computers and Society - Modern Perspectives (Hardcover)
Ronald M. Baecker
R1,589 Discovery Miles 15 890 Shipped within 7 - 12 working days

The last century has seen enormous leaps in the development of digital technologies, and most aspects of modern life have changed significantly with their widespread availability and use. Technology at various scales - supercomputers, corporate networks, desktop and laptop computers, the internet, tablets, mobile phones, and processors that are hidden in everyday devices and are so small you can barely see them with the naked eye - all pervade our world in a major way. Computers and Society: Modern Perspectives is a wide-ranging and comprehensive textbook that critically assesses the global technical achievements in digital technologies and how are they are applied in media; education and learning; medicine and health; free speech, democracy, and government; and war and peace. Ronald M. Baecker reviews critical ethical issues raised by computers, such as digital inclusion, security, safety, privacy,automation, and work, and discusses social, political, and ethical controversies and choices now faced by society. Particular attention is paid to new and exciting developments in artificial intelligence and machine learning, and the issues that have arisen from our complex relationship with AI.

Intelligent Distributed Computing X - Proceedings of the 10th International Symposium on Intelligent Distributed Computing -... Intelligent Distributed Computing X - Proceedings of the 10th International Symposium on Intelligent Distributed Computing - IDC 2016, Paris, France, October 10-12 2016 (Hardcover, 1st ed. 2017)
Costin Badica, Amal EL Fallah-Seghrouchni, Koen Hindriks, David Camacho, Paulo Novais
R3,366 R3,027 Discovery Miles 30 270 Save R339 (10%) Shipped within 7 - 12 working days

This book presents the combined peer-reviewed proceedings of the tenth International Symposium on Intelligent Distributed Computing (IDC'2016), which was held in Paris, France from October 10th to 12th, 2016. The 23 contributions address a range of topics related to theory and application of intelligent distributed computing, including: Intelligent Distributed Agent-Based Systems, Ambient Intelligence and Social Networks, Computational Sustainability, Intelligent Distributed Knowledge Representation and Processing, Smart Networks, Networked Intelligence and Intelligent Distributed Applications, amongst others.

Predictive Maintenance in Dynamic Systems - Advanced Methods, Decision Support Tools and Real-World Applications (Hardcover,... Predictive Maintenance in Dynamic Systems - Advanced Methods, Decision Support Tools and Real-World Applications (Hardcover, 1st ed. 2019)
Edwin Lughofer, Moamar Sayed-Mouchaweh
R3,339 R2,589 Discovery Miles 25 890 Save R750 (22%) Shipped within 7 - 12 working days

This book provides a complete picture of several decision support tools for predictive maintenance. These include embedding early anomaly/fault detection, diagnosis and reasoning, remaining useful life prediction (fault prognostics), quality prediction and self-reaction, as well as optimization, control and self-healing techniques. It shows recent applications of these techniques within various types of industrial (production/utilities/equipment/plants/smart devices, etc.) systems addressing several challenges in Industry 4.0 and different tasks dealing with Big Data Streams, Internet of Things, specific infrastructures and tools, high system dynamics and non-stationary environments . Applications discussed include production and manufacturing systems, renewable energy production and management, maritime systems, power plants and turbines, conditioning systems, compressor valves, induction motors, flight simulators, railway infrastructures, mobile robots, cyber security and Internet of Things. The contributors go beyond state of the art by placing a specific focus on dynamic systems, where it is of utmost importance to update system and maintenance models on the fly to maintain their predictive power.

Computational Collective Intelligence - 8th International Conference, ICCCI 2016, Halkidiki, Greece, September 28-30, 2016.... Computational Collective Intelligence - 8th International Conference, ICCCI 2016, Halkidiki, Greece, September 28-30, 2016. Proceedings, Part I (Paperback, 1st ed. 2016)
Ngoc Thanh Nguyen, Yannis Manolopoulos, Lazaros Iliadis, Bogdan Trawinski
R2,304 R2,121 Discovery Miles 21 210 Save R183 (8%) Shipped within 7 - 12 working days

This two-volume set (LNAI 9875 and LNAI 9876) constitutes the refereed proceedings of the 8th International Conference on Collective Intelligence, ICCCI 2016, held in Halkidiki, Greece, in September 2016. The 108 full papers presented were carefully reviewed and selected from 277 submissions. The aim of this conference is to provide an internationally respected forum for scientific research in the computer-based methods of collective intelligence and their applications in (but not limited to) such fields as group decision making, consensus computing, knowledge integration, semantic web, social networks and multi-agent systems.

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