Swarm Intelligence for Resource Management in Internet of Things

Swarm Intelligence for Resource Management in Internet of Things
Author: Aboul Ella Hassanien,Ashraf Darwish
Publsiher: Academic Press
Total Pages: 192
Release: 2020-08-18
ISBN 10: 0128182881
ISBN 13: 9780128182888
Language: EN, FR, DE, ES & NL

Swarm Intelligence for Resource Management in Internet of Things Book Review:

Internet of Things (IoT) is a new platform of various physical objects or “things equipped with sensors, electronics, smart devices, software, and network connections. IoT represents a new revolution of the Internet network which is driven by the recent advances of technologies such as sensor networks (wearable and implantable), mobile devices, networking, and cloud computing technologies. IoT permits these the smart devices to collect, store and analyze the collected data with limited storage and processing capacities. Swarm Intelligence for Resource Management in the Internet of Things presents a new approach in Artificial Intelligence that can be used for resources management in IoT, which is considered a critical issue for this network. The authors demonstrate these resource management applications using swarm intelligence techniques. Currently, IoT can be used in many important applications which include healthcare, smart cities, smart homes, smart hospitals, environment monitoring, and video surveillance. IoT devices cannot perform complex on-site data processing due to their limited battery and processing. However, the major processing unit of an application can be transmitted to other nodes, which are more powerful in terms of storage and processing. By applying swarm intelligence algorithms for IoT devices, we can provide major advantages for energy saving in IoT devices. Swarm Intelligence for Resource Management in the Internet of Things shows the reader how to overcome the problems and challenges of creating and implementing swarm intelligence algorithms for each application Examines the development and application of swarm intelligence systems in artificial intelligence as applied to the Internet of Things Discusses intelligent techniques for the implementation of swarm intelligence in IoT Prepared for researchers and specialists who are interested in the use and integration of IoT and cloud computing technologies

Resource Optimization Using Swarm Intelligence and the Iot

Resource Optimization Using Swarm Intelligence and the Iot
Author: Anonim
Publsiher: Unknown
Total Pages: 329
Release: 2020-08
ISBN 10: 9781799850960
ISBN 13: 179985096X
Language: EN, FR, DE, ES & NL

Resource Optimization Using Swarm Intelligence and the Iot Book Review:

Swarm Intelligence Optimization

Swarm Intelligence Optimization
Author: Abhishek Kumar,Pramod Singh Rathore,Vicente Garcia Diaz,Rashmi Agrawal
Publsiher: John Wiley & Sons
Total Pages: 384
Release: 2021-01-13
ISBN 10: 1119778743
ISBN 13: 9781119778745
Language: EN, FR, DE, ES & NL

Swarm Intelligence Optimization Book Review:

Resource optimization has always been a thrust area of research, and as the Internet of Things (IoT) is the most talked about topic of the current era of technology, it has become the need of the hour. Therefore, the idea behind this book was to simplify the journey of those who aspire to understand resource optimization in the IoT. To this end, included in this book are various real-time/offline applications and algorithms/case studies in the fields of engineering, computer science, information security, and cloud computing, along with the modern tools and various technologies used in systems, leaving the reader with a high level of understanding of various techniques and algorithms used in resource optimization.

Convergence of Artificial Intelligence and the Internet of Things

Convergence of Artificial Intelligence and the Internet of Things
Author: George Mastorakis,Constandinos X. Mavromoustakis,Jordi Mongay Batalla,Evangelos Pallis
Publsiher: Springer Nature
Total Pages: 439
Release: 2020-05-06
ISBN 10: 3030449076
ISBN 13: 9783030449070
Language: EN, FR, DE, ES & NL

Convergence of Artificial Intelligence and the Internet of Things Book Review:

This book gathers recent research work on emerging Artificial Intelligence (AI) methods for processing and storing data generated by cloud-based Internet of Things (IoT) infrastructures. Major topics covered include the analysis and development of AI-powered mechanisms in future IoT applications and architectures. Further, the book addresses new technological developments, current research trends, and industry needs. Presenting case studies, experience and evaluation reports, and best practices in utilizing AI applications in IoT networks, it strikes a good balance between theoretical and practical issues. It also provides technical/scientific information on various aspects of AI technologies, ranging from basic concepts to research grade material, including future directions. The book is intended for researchers, practitioners, engineers and scientists involved in the design and development of protocols and AI applications for IoT-related devices. As the book covers a wide range of mobile applications and scenarios where IoT technologies can be applied, it also offers an essential introduction to the field.

Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development

Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development
Author: Sandeep Kumar,Anand Nayyar,Anand Paul
Publsiher: CRC Press
Total Pages: 146
Release: 2019-11-11
ISBN 10: 1000726797
ISBN 13: 9781000726794
Language: EN, FR, DE, ES & NL

Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development Book Review:

Healthcare sector is characterized by difficulty, dynamism and variety. In 21st century, healthcare domain is surrounded by tons of challenges in terms of Disease detection, prevention, high costs, skilled technicians and better infrastructure. In order to handle these challenges, Intelligent Healthcare management technologies are required to play an effective role in improvising patient’s life. Healthcare organizations also need to continuously discover useful and actionable knowledge to gain insight from tons of data for various purposes for saving lives, reducing medical operations errors, enhancing efficiency, reducing costs and making the whole world a healthy world. Applying Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development is essential nowadays. The objective of this book is to highlight various Swarm Intelligence and Evolutionary Algorithms techniques for various medical issues in terms of Cancer Diagnosis, Brain Tumor, Diabetic Retinopathy, Heart disease as well as drug design and development. The book will act as one-stop reference for readers to think and explore Swarm Intelligence and Evolutionary Algorithms seriously for real-time patient diagnosis, as the book provides solutions to various complex diseases found critical for medical practitioners to diagnose in real-world. Key Features: Highlights the importance and applications of Swarm Intelligence and Evolutionary Algorithms in Healthcare industry. Elaborates Swarm Intelligence and Evolutionary Algorithms for Cancer Detection. In-depth coverage of computational methodologies, approaches and techniques based on Swarm Intelligence and Evolutionary Algorithms for detecting Brain Tumour including deep learning to optimize brain tumor diagnosis. Provides a strong foundation for Diabetic Retinopathy detection using Swarm and Evolutionary algorithms. Focuses on applying Swarm Intelligence and Evolutionary Algorithms for Heart Disease detection and diagnosis. Comprehensively covers the role of Swarm Intelligence and Evolutionary Algorithms for Drug Design and Discovery. The book will play a significant role for Researchers, Medical Practitioners, Healthcare Professionals and Industrial Healthcare Research and Development wings to conduct advanced research in Healthcare using Swarm Intelligence and Evolutionary Algorithms techniques.

Cognitive Hyperconnected Digital Transformation

Cognitive Hyperconnected Digital Transformation
Author: Ovidiu Vermesan,Joël Bacquet
Publsiher: River Publishers
Total Pages: 338
Release: 2017-06-23
ISBN 10: 8793609116
ISBN 13: 9788793609112
Language: EN, FR, DE, ES & NL

Cognitive Hyperconnected Digital Transformation Book Review:

Cognitive Hyperconnected Digital Transformation provides an overview of the current Internet of Things (IoT) landscape, ranging from research, innovation and development priorities to enabling technologies in a global context. It is intended as a standalone book in a series that covers the Internet of Things activities of the IERC-Internet of Things European Research Cluster, including both research and technological innovation, validation and deployment. The book builds on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT-EPI) and the IoT European Large-Scale Pilots Programme, presenting global views and state-of-the-art results regarding the challenges facing IoT research, innovation, development and deployment in the next years. Hyperconnected environments integrating industrial/business/consumer IoT technologies and applications require new IoT open systems architectures integrated with network architecture (a knowledge-centric network for IoT), IoT system design and open, horizontal and interoperable platforms managing things that are digital, automated and connected and that function in real-time with remote access and control based on Internet-enabled tools. The IoT is bridging the physical world with the virtual world by combining augmented reality (AR), virtual reality (VR), machine learning and artificial intelligence (AI) to support the physical-digital integrations in the Internet of mobile things based on sensors/actuators, communication, analytics technologies, cyber-physical systems, software, cognitive systems and IoT platforms with multiple functionalities. These IoT systems have the potential to understand, learn, predict, adapt and operate autonomously. They can change future behaviour, while the combination of extensive parallel processing power, advanced algorithms and data sets feed the cognitive algorithms that allow the IoT systems to develop new services and propose new solutions. IoT technologies are moving into the industrial space and enhancing traditional industrial platforms with solutions that break free of device-, operating system- and protocol-dependency. Secure edge computing solutions replace local networks, web services replace software, and devices with networked programmable logic controllers (NPLCs) based on Internet protocols replace devices that use proprietary protocols. Information captured by edge devices on the factory floor is secure and accessible from any location in real time, opening the communication gateway both vertically (connecting machines across the factory and enabling the instant availability of data to stakeholders within operational silos) and horizontally (with one framework for the entire supply chain, across departments, business units, global factory locations and other markets). End-to-end security and privacy solutions in IoT space require agile, context-aware and scalable components with mechanisms that are both fluid and adaptive. The convergence of IT (information technology) and OT (operational technology) makes security and privacy by default a new important element where security is addressed at the architecture level, across applications and domains, using multi-layered distributed security measures. Blockchain is transforming industry operating models by adding trust to untrusted environments, providing distributed security mechanisms and transparent access to the information in the chain. Digital technology platforms are evolving, with IoT platforms integrating complex info

Internet of Things in Biomedical Engineering

Internet of Things in Biomedical Engineering
Author: Valentina E. Balas,Le Hoang Son,Sudan Jha,Manju Khari,Raghvendra Kumar
Publsiher: Academic Press
Total Pages: 379
Release: 2019-06-14
ISBN 10: 0128173572
ISBN 13: 9780128173572
Language: EN, FR, DE, ES & NL

Internet of Things in Biomedical Engineering Book Review:

Internet of Things in Biomedical Engineering presents the most current research in Internet of Things (IoT) applications for clinical patient monitoring and treatment. The book takes a systems-level approach for both human-factors and the technical aspects of networking, databases and privacy. Sections delve into the latest advances and cutting-edge technologies, starting with an overview of the Internet of Things and biomedical engineering, as well as a focus on ‘daily life.’ Contributors from various experts then discuss ‘computer assisted anthropology,’ CLOUDFALL, and image guided surgery, as well as bio-informatics and data mining. This comprehensive coverage of the industry and technology is a perfect resource for students and researchers interested in the topic. Presents recent advances in IoT for biomedical engineering, covering biometrics, bioinformatics, artificial intelligence, computer vision and various network applications Discusses big data and data mining in healthcare and other IoT based biomedical data analysis Includes discussions on a variety of IoT applications and medical information systems Includes case studies and applications, as well as examples on how to automate data analysis with Perl R in IoT

Artificial Intelligence for the Internet of Everything

Artificial Intelligence for the Internet of Everything
Author: William Lawless,Ranjeev Mittu,Donald Sofge,Ira S Moskowitz,Stephen Russell
Publsiher: Academic Press
Total Pages: 303
Release: 2019-02-21
ISBN 10: 0128176377
ISBN 13: 9780128176375
Language: EN, FR, DE, ES & NL

Artificial Intelligence for the Internet of Everything Book Review:

Artificial Intelligence for the Internet of Everything considers the foundations, metrics and applications of IoE systems. It covers whether devices and IoE systems should speak only to each other, to humans or to both. Further, the book explores how IoE systems affect targeted audiences (researchers, machines, robots, users) and society, as well as future ecosystems. It examines the meaning, value and effect that IoT has had and may have on ordinary life, in business, on the battlefield, and with the rise of intelligent and autonomous systems. Based on an artificial intelligence (AI) perspective, this book addresses how IoE affects sensing, perception, cognition and behavior. Each chapter addresses practical, measurement, theoretical and research questions about how these “things may affect individuals, teams, society or each other. Of particular focus is what may happen when these “things begin to reason, communicate and act autonomously on their own, whether independently or interdependently with other “things . Considers the foundations, metrics and applications of IoE systems Debates whether IoE systems should speak to humans and each other Explores how IoE systems affect targeted audiences and society Discusses theoretical IoT ecosystem models

Emerging Technologies for Health and Medicine

Emerging Technologies for Health and Medicine
Author: Dac-Nhuong Le,Chung Van Le,Jolanda G. Tromp,Gia Nhu Nguyen
Publsiher: John Wiley & Sons
Total Pages: 318
Release: 2018-10-02
ISBN 10: 1119509882
ISBN 13: 9781119509882
Language: EN, FR, DE, ES & NL

Emerging Technologies for Health and Medicine Book Review:

With the current advances in technology innovation, the field of medicine and healthcare is rapidly expanding and, as a result, many different areas of human health diagnostics, treatment and care are emerging. Wireless technology is getting faster and 5G mobile technology allows the Internet of Medical Things (IoMT) to greatly improve patient care and more effectively prevent illness from developing. This book provides an overview and review of the current and anticipated changes in medicine and healthcare due to new technologies and faster communication between users and devices. This groundbreaking book presents state-of-the-art chapters on many subjects including: A review of the implications of VR and AR healthcare applications A review of current augmenting dental care An overview of typical human-computer interaction (HCI) that can help inform the development of user interface designs and novel ways to evaluate human behavior to responses in virtual reality (VR) and other new technologies A review of telemedicine technologies Building empathy in young children using augmented reality AI technologies for mobile health of stroke monitoring & rehabilitation robotics control Mobile doctor brain AI App An artificial intelligence mobile cloud computing tool Development of a robotic teaching aid for disabled children Training system design of lower limb rehabilitation robot based on virtual reality

Hands On Artificial Intelligence for IoT

Hands On Artificial Intelligence for IoT
Author: Amita Kapoor
Publsiher: Packt Publishing Ltd
Total Pages: 390
Release: 2019-01-31
ISBN 10: 1788832760
ISBN 13: 9781788832762
Language: EN, FR, DE, ES & NL

Hands On Artificial Intelligence for IoT Book Review:

Build smarter systems by combining artificial intelligence and the Internet of Things—two of the most talked about topics today Key Features Leverage the power of Python libraries such as TensorFlow and Keras to work with real-time IoT data Process IoT data and predict outcomes in real time to build smart IoT models Cover practical case studies on industrial IoT, smart cities, and home automation Book Description There are many applications that use data science and analytics to gain insights from terabytes of data. These apps, however, do not address the challenge of continually discovering patterns for IoT data. In Hands-On Artificial Intelligence for IoT, we cover various aspects of artificial intelligence (AI) and its implementation to make your IoT solutions smarter. This book starts by covering the process of gathering and preprocessing IoT data gathered from distributed sources. You will learn different AI techniques such as machine learning, deep learning, reinforcement learning, and natural language processing to build smart IoT systems. You will also leverage the power of AI to handle real-time data coming from wearable devices. As you progress through the book, techniques for building models that work with different kinds of data generated and consumed by IoT devices such as time series, images, and audio will be covered. Useful case studies on four major application areas of IoT solutions are a key focal point of this book. In the concluding chapters, you will leverage the power of widely used Python libraries, TensorFlow and Keras, to build different kinds of smart AI models. By the end of this book, you will be able to build smart AI-powered IoT apps with confidence. What you will learn Apply different AI techniques including machine learning and deep learning using TensorFlow and Keras Access and process data from various distributed sources Perform supervised and unsupervised machine learning for IoT data Implement distributed processing of IoT data over Apache Spark using the MLLib and H2O.ai platforms Forecast time-series data using deep learning methods Implementing AI from case studies in Personal IoT, Industrial IoT, and Smart Cities Gain unique insights from data obtained from wearable devices and smart devices Who this book is for If you are a data science professional or a machine learning developer looking to build smart systems for IoT, Hands-On Artificial Intelligence for IoT is for you. If you want to learn how popular artificial intelligence (AI) techniques can be used in the Internet of Things domain, this book will also be of benefit. A basic understanding of machine learning concepts will be required to get the best out of this book.

Swarm Intelligence in Data Mining

Swarm Intelligence in Data Mining
Author: Ajith Abraham,Crina Grosan,Vitorino Ramos
Publsiher: Springer
Total Pages: 268
Release: 2007-01-12
ISBN 10: 3540349561
ISBN 13: 9783540349563
Language: EN, FR, DE, ES & NL

Swarm Intelligence in Data Mining Book Review:

This volume examines the application of swarm intelligence in data mining, addressing the issues of swarm intelligence and data mining using novel intelligent approaches. The book comprises 11 chapters including an introduction reviewing fundamental definitions and important research challenges. Important features include a detailed overview of swarm intelligence and data mining paradigms, focused coverage of timely, advanced data mining topics, state-of-the-art theoretical research and application developments and contributions by pioneers in the field.

Advances in Swarm Intelligence for Optimizing Problems in Computer Science

Advances in Swarm Intelligence for Optimizing Problems in Computer Science
Author: Anand Nayyar,Dac-Nhuong Le,Nhu Gia Nguyen
Publsiher: CRC Press
Total Pages: 298
Release: 2018-10-03
ISBN 10: 0429820151
ISBN 13: 9780429820151
Language: EN, FR, DE, ES & NL

Advances in Swarm Intelligence for Optimizing Problems in Computer Science Book Review:

This book provides comprehensive details of all Swarm Intelligence based Techniques available till date in a comprehensive manner along with their mathematical proofs. It will act as a foundation for authors, researchers and industry professionals. This monograph will present the latest state of the art research being done on varied Intelligent Technologies like sensor networks, machine learning, optical fiber communications, digital signal processing, image processing and many more.

Artificial Intelligence for Communications and Networks

Artificial Intelligence for Communications and Networks
Author: Shuai Han,Liang Ye,Weixiao Meng
Publsiher: Springer
Total Pages: 574
Release: 2019-07-04
ISBN 10: 3030229688
ISBN 13: 9783030229689
Language: EN, FR, DE, ES & NL

Artificial Intelligence for Communications and Networks Book Review:

This two-volume set LNICST 286-287 constitutes the post-conference proceedings of the First EAI International Conference on Artificial Intelligence for Communications and Networks, AICON 2019, held in Harbin, China, in May 2019. The 93 full papers were carefully reviewed and selected from 152 submissions. The papers are organized in topical sections on artificial intelligence, mobile network, deep learning, machine learning, wireless communication, cognitive radio, internet of things, big data, communication system, pattern recognition, channel model, beamforming, signal processing, 5G, mobile management, resource management, wireless position.

Swarm Intelligence Algorithms Two Volume Set

Swarm Intelligence Algorithms  Two Volume Set
Author: Adam Slowik
Publsiher: CRC Press
Total Pages: 768
Release: 2021-01-26
ISBN 10: 1000168727
ISBN 13: 9781000168723
Language: EN, FR, DE, ES & NL

Swarm Intelligence Algorithms Two Volume Set Book Review:

Swarm intelligence algorithms are a form of nature-based optimization algorithms. Their main inspiration is the cooperative behavior of animals within specific communities. This can be described as simple behaviors of individuals along with the mechanisms for sharing knowledge between them, resulting in the complex behavior of the entire community. Examples of such behavior can be found in ant colonies, bee swarms, schools of fish or bird flocks. Swarm intelligence algorithms are used to solve difficult optimization problems for which there are no exact solving methods or the use of such methods is impossible, e.g. due to unacceptable computational time. This set comprises two volumes: Swarm Intelligence Algorithms: A Tutorial and Swarm Intelligence Algorithms: Modifications and Applications. The first volume thoroughly presents the basics of 24 algorithms selected from the entire family of swarm intelligence algorithms. It contains a detailed explanation of how each algorithm works, along with relevant program codes in Matlab and the C ++ programming language, as well as numerical examples illustrating step-by-step how individual algorithms work. The second volume describes selected modifications of these algorithms and presents their practical applications. This book presents 24 swarm algorithms together with their modifications and practical applications. Each chapter is devoted to one algorithm. It contains a short description along with a pseudo-code showing the various stages of its operation. In addition, each chapter contains a description of selected modifications of the algorithm and shows how it can be used to solve a selected practical problem.

Theory and Practice of Natural Computing

Theory and Practice of Natural Computing
Author: Carlos Martín-Vide,Roman Neruda,Miguel A. Vega-Rodríguez
Publsiher: Springer
Total Pages: 319
Release: 2017-12-12
ISBN 10: 3319710699
ISBN 13: 9783319710693
Language: EN, FR, DE, ES & NL

Theory and Practice of Natural Computing Book Review:

This book constitutes the refereed proceedings of the 6th International Conference,on Theory and Practice of Natural Computing, TPNC 2017, held in Prague, Czech Republic, December 2017. The 22 full papers presented in this book, together with one invited talk, werecarefully reviewed and selected from 39 submissions. The papers are organized around the following topical sections: applications of natural computing; evolutionary computation; fuzzy logic; Molecular computation; neural networks; quantum computing.

WIPO Technology Trends 2019 Artificial Intelligence

WIPO Technology Trends 2019   Artificial Intelligence
Author: World Intellectual Property Organization
Publsiher: WIPO
Total Pages: 154
Release: 2019-01-21
ISBN 10: 9280530070
ISBN 13: 9789280530070
Language: EN, FR, DE, ES & NL

WIPO Technology Trends 2019 Artificial Intelligence Book Review:

The first report in a new flagship series, WIPO Technology Trends, aims to shed light on the trends in innovation in artificial intelligence since the field first developed in the 1950s.

Resource Management for Internet of Things

Resource Management for Internet of Things
Author: Flávia C. Delicato,Paulo F. Pires,Thais Batista
Publsiher: Springer
Total Pages: 116
Release: 2017-03-30
ISBN 10: 3319542478
ISBN 13: 9783319542478
Language: EN, FR, DE, ES & NL

Resource Management for Internet of Things Book Review:

This book investigates the pressing issue of resource management for Internet of Things (IoT). The unique IoT ecosystem poses new challenges and calls for unique and bespoke solutions to deal with these challenges. Using a holistic approach, the authors present a thorough study into the allocation of the resources available within IoT systems to accommodate application requirements. This is done by investigating different functionalities and architectural approaches involved in a basic workflow for managing the lifecycle of resources in an IoT system. Resource Management for the Internet of Things will be of interest to researchers and students as well as professional developers interested in studying the IoT paradigm from data acquisition to the delivery of value-added services for the end user.

Swarm Intelligence and Bio Inspired Computation

Swarm Intelligence and Bio Inspired Computation
Author: Xin-She Yang,Zhihua Cui,Renbin Xiao,Amir Hossein Gandomi,Mehmet Karamanoglu
Publsiher: Newnes
Total Pages: 450
Release: 2013-05-16
ISBN 10: 0124051774
ISBN 13: 9780124051775
Language: EN, FR, DE, ES & NL

Swarm Intelligence and Bio Inspired Computation Book Review:

Swarm Intelligence and bio-inspired computation have become increasing popular in the last two decades. Bio-inspired algorithms such as ant colony algorithms, bat algorithms, bee algorithms, firefly algorithms, cuckoo search and particle swarm optimization have been applied in almost every area of science and engineering with a dramatic increase of number of relevant publications. This book reviews the latest developments in swarm intelligence and bio-inspired computation from both the theory and application side, providing a complete resource that analyzes and discusses the latest and future trends in research directions. It can help new researchers to carry out timely research and inspire readers to develop new algorithms. With its impressive breadth and depth, this book will be useful for advanced undergraduate students, PhD students and lecturers in computer science, engineering and science as well as researchers and engineers. Focuses on the introduction and analysis of key algorithms Includes case studies for real-world applications Contains a balance of theory and applications, so readers who are interested in either algorithm or applications will all benefit from this timely book.

Advances in Swarm Intelligence for Optimizing Problems in Computer Science

Advances in Swarm Intelligence for Optimizing Problems in Computer Science
Author: Anand Nayyar,Dac-Nhuong Le,Nhu Gia Nguyen
Publsiher: CRC Press
Total Pages: 298
Release: 2018-10-03
ISBN 10: 042982016X
ISBN 13: 9780429820168
Language: EN, FR, DE, ES & NL

Advances in Swarm Intelligence for Optimizing Problems in Computer Science Book Review:

This book provides comprehensive details of all Swarm Intelligence based Techniques available till date in a comprehensive manner along with their mathematical proofs. It will act as a foundation for authors, researchers and industry professionals. This monograph will present the latest state of the art research being done on varied Intelligent Technologies like sensor networks, machine learning, optical fiber communications, digital signal processing, image processing and many more.

Swarm Intelligence

Swarm Intelligence
Author: Eric Bonabeau,Marco Dorigo,Guy Theraulaz
Publsiher: Oxford University Press
Total Pages: 320
Release: 1999-09-23
ISBN 10: 9780198030157
ISBN 13: 0198030150
Language: EN, FR, DE, ES & NL

Swarm Intelligence Book Review:

Social insects--ants, bees, termites, and wasps--can be viewed as powerful problem-solving systems with sophisticated collective intelligence. Composed of simple interacting agents, this intelligence lies in the networks of interactions among individuals and between individuals and the environment. A fascinating subject, social insects are also a powerful metaphor for artificial intelligence, and the problems they solve--finding food, dividing labor among nestmates, building nests, responding to external challenges--have important counterparts in engineering and computer science. This book provides a detailed look at models of social insect behavior and how to apply these models in the design of complex systems. The book shows how these models replace an emphasis on control, preprogramming, and centralization with designs featuring autonomy, emergence, and distributed functioning. These designs are proving immensely flexible and robust, able to adapt quickly to changing environments and to continue functioning even when individual elements fail. In particular, these designs are an exciting approach to the tremendous growth of complexity in software and information. Swarm Intelligence draws on up-to-date research from biology, neuroscience, artificial intelligence, robotics, operations research, and computer graphics, and each chapter is organized around a particular biological example, which is then used to develop an algorithm, a multiagent system, or a group of robots. The book will be an invaluable resource for a broad range of disciplines.