The Smart Swarm
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| Author | : Peter Miller |
| Publisher | : Penguin |
| Total Pages | : 217 |
| Release | : 2010-08-05 |
| Genre | : Business & Economics |
| ISBN | : 1101189258 |
What ants, bees, fish, and smart swarms can teach us about communication, organization, and decision-making The modern world may be obsessed with speed and productivity, but twenty-first-century humans actually have much to learn from the ancient instincts of swarms. A fascinating new take on the concept of collective intelligence and its colorful manifestations in some of our most complex problems, The Smart Swarm introduces a compelling new understanding of the real experts on solving our own complex problems relating to such topics as business, politics, and technology. Based on extensive globe-trotting research, this lively tour from National Geographic reporter Peter Miller introduces thriving throngs of ant colonies, which have inspired computer programs for streamlining factory processes, telephone networks, and truck routes; termites, used in recent studies for climate-control solutions; schools of fish, on which the U.S. military modeled a team of robots; and many other examples of the wisdom to be gleaned about the behavior of crowds-among critters and corporations alike. In the tradition of James Surowiecki's The Wisdom of Crowds and the innovative works of Malcolm Gladwell, The Smart Swarm is an entertaining yet enlightening look at small-scale phenomena with big implications for us all.
| Author | : Peter Miller |
| Publisher | : Collins Publishers |
| Total Pages | : 283 |
| Release | : 2011-04 |
| Genre | : Animal behavior |
| ISBN | : 9780007382972 |
How Understanding Flocks, Schools and Colonies Can Make Us Better at Communicating, Decision Making and Getting Things Done. The modern world may be obsessed with speed and productivity, but twenty-first century humans actually have much to learn from the ancient instincts of swarms. A fascinating new take on the concept of collective intelligence and its colourful manifestations in some of our most complex problems, Smart Swarm introduces a compelling new understanding of the real experts on solving our own complex problems relating to such topics as business, politics, and technology. Based on extensive globe-trotting research, this lively tour from National Geographic reporter Peter Miller introduces thriving throngs of ant colonies, which have inspired computer programs for streamlining factory processes, telephone networks, and truck routes; termites, used in recent studies for climate-control solutions; schools of fish, on which the U.S. military modelled a team of robots; and many other examples of the wisdom to be gleaned about the behaviour of crowds-among critters and corporations alike. In the tradition of James Surowiecki's The Wisdom of Crowds and the innovative works of Malcolm Gladwell, Smart Swarm is an entertaining yet enlightening look at small-scale phenomena with big implications for us all.
| Author | : Aboul Ella Hassanien |
| Publisher | : Academic Press |
| Total Pages | : 169 |
| Release | : 2020-08-18 |
| Genre | : Science |
| ISBN | : 0128182881 |
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
| Author | : Abhishek Kumar |
| Publisher | : John Wiley & Sons |
| Total Pages | : 384 |
| Release | : 2021-01-07 |
| Genre | : Computers |
| ISBN | : 1119778743 |
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.
| Author | : Xin-She Yang |
| Publisher | : Springer |
| Total Pages | : 295 |
| Release | : 2014-12-27 |
| Genre | : Technology & Engineering |
| ISBN | : 331913826X |
This timely review volume summarizes the state-of-the-art developments in nature-inspired algorithms and applications with the emphasis on swarm intelligence and bio-inspired computation. Topics include the analysis and overview of swarm intelligence and evolutionary computation, hybrid metaheuristic algorithms, bat algorithm, discrete cuckoo search, firefly algorithm, particle swarm optimization, and harmony search as well as convergent hybridization. Application case studies have focused on the dehydration of fruits and vegetables by the firefly algorithm and goal programming, feature selection by the binary flower pollination algorithm, job shop scheduling, single row facility layout optimization, training of feed-forward neural networks, damage and stiffness identification, synthesis of cross-ambiguity functions by the bat algorithm, web document clustering, truss analysis, water distribution networks, sustainable building designs and others. As a timely review, this book can serve as an ideal reference for graduates, lecturers, engineers and researchers in computer science, evolutionary computing, artificial intelligence, machine learning, computational intelligence, data mining, engineering optimization and designs.
| Author | : Hussein A. Abbass |
| Publisher | : Springer Nature |
| Total Pages | : 339 |
| Release | : 2021-03-19 |
| Genre | : Technology & Engineering |
| ISBN | : 3030608980 |
This book draws inspiration from natural shepherding, whereby a farmer utilizes sheepdogs to herd sheep, to inspire a scalable and inherently human friendly approach to swarm control. The book discusses advanced artificial intelligence (AI) approaches needed to design smart robotic shepherding agents capable of controlling biological swarms or robotic swarms of unmanned vehicles. These smart shepherding agents are described with the techniques applicable to the control of Unmanned X Vehicles (UxVs) including air (unmanned aerial vehicles or UAVs), ground (unmanned ground vehicles or UGVs), underwater (unmanned underwater vehicles or UUVs), and on the surface of water (unmanned surface vehicles or USVs). This book proposes how smart ‘shepherds’ could be designed and used to guide a swarm of UxVs to achieve a goal while ameliorating typical communication bandwidth issues that arise in the control of multi agent systems. The book covers a wide range of topics ranging from the design of deep reinforcement learning models for shepherding a swarm, transparency in swarm guidance, and ontology-guided learning, to the design of smart swarm guidance methods for shepherding with UGVs and UAVs. The book extends the discussion to human-swarm teaming by looking into the real-time analysis of human data during human-swarm interaction, the concept of trust for human-swarm teaming, and the design of activity recognition systems for shepherding. Presents a comprehensive look at human-swarm teaming; Tackles artificial intelligence techniques for swarm guidance; Provides artificial intelligence techniques for real-time human performance analysis.
| Author | : Cheng, Shi |
| Publisher | : IGI Global |
| Total Pages | : 482 |
| Release | : 2020-04-24 |
| Genre | : Computers |
| ISBN | : 1799832244 |
The use of optimization algorithms has seen an emergence in various professional fields due to its ability to process data and information in an efficient and productive manner. Combining computational intelligence with these algorithms has created a trending subject of research on how much more beneficial intelligent-inspired algorithms can be within companies and organizations. As modern theories and applications are continually being developed in this area, professionals are in need of current research on how intelligent algorithms are advancing in the real world. TheHandbook of Research on Advancements of Swarm Intelligence Algorithms for Solving Real-World Problems is a pivotal reference source that provides vital research on the development of swarm intelligence algorithms and their implementation into current issues. While highlighting topics such as multi-agent systems, bio-inspired computing, and evolutionary programming, this publication explores various concepts and theories of swarm intelligence and outlines future directions of development. This book is ideally designed for IT specialists, researchers, academicians, engineers, developers, practitioners, and students seeking current research on the real-world applications of intelligent algorithms.
| Author | : Mark W. Moffett |
| Publisher | : Basic Books |
| Total Pages | : 602 |
| Release | : 2019-04-16 |
| Genre | : Social Science |
| ISBN | : 1541617290 |
The epic story and ultimate big history of how human society evolved from intimate chimp communities into the sprawling civilizations of a world-dominating species If a chimpanzee ventures into the territory of a different group, it will almost certainly be killed. But a New Yorker can fly to Los Angeles--or Borneo--with very little fear. Psychologists have done little to explain this: for years, they have held that our biology puts a hard upper limit--about 150 people--on the size of our social groups. But human societies are in fact vastly larger. How do we manage--by and large--to get along with each other? In this paradigm-shattering book, biologist Mark W. Moffett draws on findings in psychology, sociology and anthropology to explain the social adaptations that bind societies. He explores how the tension between identity and anonymity defines how societies develop, function, and fail. Surpassing Guns, Germs, and Steel and Sapiens, The Human Swarm reveals how mankind created sprawling civilizations of unrivaled complexity--and what it will take to sustain them.
| Author | : Mary Roach |
| Publisher | : Disney Electronic Content |
| Total Pages | : 65 |
| Release | : 2012-10-09 |
| Genre | : Nature |
| ISBN | : 1426210035 |
The Animal Intelligence Bundle: “Minds of Their Own” by Virginia Morell (March 2008) “Almost Human” by Mary Roach (April 2008) “The Genius of Swarms” by Peter Miller (July 2007) In “Minds of Their Own,” Virginia Morell provides an overview of the science of animal intelligence. She introduces you to an African gray parrot named Alex, a bonobo named Kanzi, and a border collie named Betsy. Each of these animals tells us something interesting about the way they perceive and manipulate their world. The article also looks at what scientists are learning about the intelligence of dolphins and crows, beyond mere communication. In “Almost Human,” Mary Roach takes us to the savannahs of Senegal to meet a group of 34 chimpanzees, whose behavior and social structures have given scientists some important clues about the nature of their communication and intelligence. In “The Genius of Swarms,” Peter Miller looks at the collective behavior of ants, bees, and other insects for what they can tell us about social organization and how sometimes intelligence lies outside of the individual brain. This article served as the basis for his book, The Smart Swarm: How Understanding Flocks, Schools, and Colonies Can Make Us Better at Communicating, Decision Making, and Getting Things Done.
| Author | : Adam Slowik |
| Publisher | : CRC Press |
| Total Pages | : 379 |
| Release | : 2021-01-26 |
| Genre | : Computers |
| ISBN | : 1000168727 |
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.
