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The concept of an intelligent agent – a computational system capable of performing certain tasks autonomously – derived from the growing potential of digital computers in the mid 20th century and had been widely adopted by the early 1990s. Partly in parallel with this concept, the perspective of ambient intelligence (AmI) emerged in the late 1990s. Agent technology and AmI have many similarities, and the main purpose of this book is to provide an overview of the state-of-the-art of the scientific area that integrates these two. The book addresses a wide variety of topics related to agents and AmI, including theoretical, practical, design, implementation, ethical and philosophical issues. The 12 chapters are arranged in four sections. The first consists of three chapters discussing ethical and philosophical issues; the second part explores various approaches that can be used to develop agent-based AmI Systems; the third part contains three chapters that share the goal to endow AmI systems with useful properties like intelligence and adaptivity and the last section presents concrete applications of agent-based AmI systems. This book provides an insight into recent achievements and future challenges at the intersection of agent technology and ambient intelligence and will assist the development of more intelligent, flexible, effective and user-friendly systems as well as posing critical questions about the future of the role of agents within the AmI perspective.
What Is Ambient Intelligence The term "ambient intelligence" (AmI) comes from the field of computers and refers to electronic settings that are aware of and responsive to the presence of humans. Eli Zelkha and his team at Palo Alto Ventures first developed the concept of ambient intelligence in the late 1990s for the time frame of 2010-2020 as a projection on the future of consumer electronics, telecommunications, and computing. This concept was originally developed for the time frame of 2010-2020. Through the use of information and intelligence that is concealed within the network that connects these devices, ambient intelligence would make it possible for devices to collaborate in order to assist people in carrying out the activities, tasks, and rituals that are part of their day-to-day lives in a manner that is natural to them. As these gadgets became more compact, more linked, and more integrated into our surroundings, the technical infrastructure that supported them would fade away into our surrounds until only the user interface was left for people to see. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Ambient intelligence Chapter 2: Ubiquitous computing Chapter 3: Context awareness Chapter 4: Smart device Chapter 5: Calm technology Chapter 6: Smart environment Chapter 7: Intelligent environment Chapter 8: Context-aware pervasive systems Chapter 9: Internet of things Chapter 10: Anind Dey Chapter 11: AmbieSense Chapter 12: Smart object Chapter 13: Visual privacy Chapter 14: Location awareness Chapter 15: Living lab Chapter 16: Spatial contextual awareness Chapter 17: Telecooperation Office Chapter 18: Mobile cloud computing Chapter 19: Albrecht Schmidt (computer scientist) Chapter 20: Eli Zelkha Chapter 21: Joëlle Coutaz (II) Answering the public top questions about ambient intelligence. (III) Real world examples for the usage of ambient intelligence in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of ambient intelligence' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of ambient intelligence.
This book constitutes the refereed proceedings of the Second European Symposium on Ambient Intelligence, EUSAI 2004, held in Eindhoven, The Netherlands in November 2004. The 36 revised full papers presented were carefully reviewed and selected from 90 submissions. The papers are organized in topical sections on ubiquitous computing: sofware architectures, communication, and distribution; context sensing and machine perception; human computer interaction in ambient intelligence environments; and algorithms, ontologies, and architectures for learning and adaptation.
"This book provides perspectives on the convergence of ubiquitous computing, intelligent systems research, and context awareness with the aim of encouraging the further development of ambient intelligence frameworks and research"--
At the time of the introduction of the Ambient Intelligence (AmI) concept many scenarios where considered to be visionary or even science fiction. Enabled by current technology, many aspects of these scenarios are slowly but inexorably becoming true. However, we are still facing important challenges that need further investments in research and industrialization. Current software engineering techniques and tools are not prepared to deal with the development of applications for what we could call AmI ecosystems, lacking a fixed architecture, controlled limits and even owners. The comfortable boundaries of static architectures and well-defined limits and owners are not existent in these AmI ecosystems. In its second year AmI.d again shows the heterogeneity of research challenges related to Ambient Intelligence. Many disciplines are involved and have to co-ordinate their efforts in resolving the strongly related research issues.
The internet of things (IoT) is quickly growing into a large industry with a huge economic impact expected in the near future. However, the users’ needs go beyond the existing web-like services, which do not provide satisfactory intelligence levels. Ambient intelligence services in IoT environments is an emerging research area that can change the way that technology and services are perceived by the users. Ambient Intelligence Services in IoT Environments: Emerging Research and Opportunities is a unique source that systemizes recent trends and advances for service development with such key technological enablers of modern ICT as ambient intelligence, IoT, web of things, and cyber-physical systems. The considered concepts and models are presented using a smart spaces approach with a particular focus on the Smart-M3 platform, which is now shaping into an open source technology for creating ontology-based smart spaces and is shifting towards the development of web of things applications and socio-cyber-physical systems. Containing coverage on a broad range of topics such as fog computing, smart environments, and virtual reality, multitudes of researchers, students, academicians, and professionals will benefit from this timely reference.
Augmented Materials and Smart Objects investigates the issues required to ensure technology platforms capable of being seamlessly integrated into everyday objects. In particular, it deals with the requirements for integrated computation and MEMs sensors, system-in-a-package solutions, and multi-chip modules. On top of this, the publication’s 500 pages cover the impact of the trend towards embedded microelectronic electronics sub-systems, novel assembly techniques for autonomous MEMs sensors, and practical performance issues that are key to the AmI concept.
Smart Sensor Networks (WSNs) using AI have left a mark on the lives of all by aiding in various sectors, such as manufacturing, education, healthcare, and monitoring of the environment and industries. This book covers recent AI applications and explores aspects of modern sensor technologies and the systems needed to operate them. The book reviews the fundamental concepts of gathering, processing, and analyzing different AI-based models and methods. It covers recent WSN techniques for the purpose of effective network management on par with the standards laid out by international organizations in related fields and focuses on both core concepts along with major applicational areas. The book will be used by technical developers, academicians, data sciences, industrial professionals, researchers, and students interested in the latest innovations on problem-oriented processing techniques in sensor networks using IoT and evolutionary computer applications for Industry 4.0.
Fuzzy sets and fuzzy logics are used to model events with imprecise, incomplete, and uncertain information. Researchers have developed numerous methods and techniques to cope with fuzziness or uncertainty. This research intends to introduce the novel concepts of complex neutrosophic relations (CNRs) and its types based on the idea of complex neutrosophic sets (CNSs).
The book provides a comprehensive look at emerging technological trends in the workplace. Technological issues and trends are compiled from different venues and explored from management, HR, ethical, and organizational behavior viewpoints.