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The Autonomous Enterprise: Powered by AI

The journey towards the autonomous enterprise has begun; there are already companies operating in a highly automated way and with artificial intelligence (AI) solutions offering compelling returns on investment. More organisations will be joining their ranks. With a workforce of machines that are augmented by humans, the autonomous enterprise will turn the current organisational model on its head. Corporate decision-makers will need to understand the opportunities and risks that the autonomous enterprise presents, to learn how best to navigate the shifting competitive landscape on their journey of change. This book is your guide to this innovation, presenting the concepts in real world contexts by covering the art of the possible today and providing glimpses into the future of business.

The Autonomous Enterprise: Powered by AI

The journey towards the autonomous enterprise has begun; there are already companies operating in a highly automated way and with artificial intelligence (AI) solutions offering compelling returns on investment. More organisations will be joining their ranks. With a workforce of machines that are augmented by humans, the autonomous enterprise will turn the current organisational model on its head. Corporate decision-makers will need to understand the opportunities and risks that the autonomous enterprise presents, to learn how best to navigate the shifting competitive landscape on their journey of change. This book is your guide to this innovation, presenting the concepts in real world contexts by covering the art of the possible today and providing glimpses into the future of business.

Autonomous Flying Robots: Unmanned Aerial Vehicles and Micro Aerial Vehicles

The advance in robotics has boosted the application of autonomous vehicles to perform tedious and risky tasks or to be cost-effective substitutes for their - man counterparts. Based on their working environment, a rough classi cation of the autonomous vehicles would include unmanned aerial vehicles (UAVs), - manned ground vehicles (UGVs), autonomous underwater vehicles (AUVs), and autonomous surface vehicles (ASVs). UAVs, UGVs, AUVs, and ASVs are called UVs (unmanned vehicles) nowadays. In recent decades, the development of - manned autonomous vehicles have been of great interest, and different kinds of autonomous vehicles have been studied and developed all over the world. In part- ular, UAVs have many applications in emergency situations; humans often cannot come close to a dangerous natural disaster such as an earthquake, a ood, an active volcano, or a nuclear disaster. Since the development of the rst UAVs, research efforts have been focused on military applications. Recently, however, demand has arisen for UAVs such as aero-robotsand ying robotsthat can be used in emergency situations and in industrial applications. Among the wide variety of UAVs that have been developed, small-scale HUAVs (helicopter-based UAVs) have the ability to take off and land vertically as well as the ability to cruise in ight, but their most importantcapability is hovering. Hoveringat a point enables us to make more eff- tive observations of a target. Furthermore, small-scale HUAVs offer the advantages of low cost and easy operation.

Autonomous Guided Vehicles: Methods and Models for Optimal Path Planning (Studies in Systems, Decision and Control #20)

This book provides readers with extensive information on path planning optimization for both single and multiple Autonomous Guided Vehicles (AGVs), and discusses practical issues involved in advanced industrial applications of AGVs. After discussing previously published research in the field and highlighting the current gaps, it introduces new models developed by the authors with the goal of reducing costs and increasing productivity and effectiveness in the manufacturing industry. The new models address the increasing complexity of manufacturing networks, due for example to the adoption of flexible manufacturing systems that involve automated material handling systems, robots, numerically controlled machine tools, and automated inspection stations, while also considering the uncertainty and stochastic nature of automated equipment such as AGVs. The book discusses and provides solutions to important issues concerning the use of AGVs in the manufacturing industry, including material flow optimization with AGVs, programming manufacturing systems equipped with AGVs, reliability models, the reliability of AGVs, routing under uncertainty, and risks involved in AGV-based transportation. The clear style and straightforward descriptions of problems and their solutions make the book an excellent resource for graduate students. Moreover, thanks to its practice-oriented approach, the novelty of the findings and the contemporary topic it reports on, the book offers new stimulus for researchers and practitioners in the broad field of production engineering.

The Autonomous Individual: A Praxeological Enactivist Account (Routledge Studies in Contemporary Philosophy)

This book advances a new theory of what it means to be an autonomous individual with free will and an authentic self. It synthesizes the new “action turn” from 4E cognitive science with the new “practice turn” from the social sciences to develop a new perspective on our self-interpretation as autonomous individuals.Our entire life is built upon one central foundation: the idea that we human beings are autonomous individuals. While this idea is presupposed in some academic fields, such as law and moral philosophy, it is challenged or denied in others. This book aims to move beyond debates about whether free will exists. Instead, it proposes that the idea that human beings are autonomous individuals is a culturally developed self-interpretation that is permanently enacted in social practices. Parts of it describe biological reality correctly, parts are social reality, and parts are mere fictions. This view – which the author calls "praxeological enactivism" – combines work from enactive cognitive science with practice theory from the social sciences. The book concludes by discussing the ethical advantages and dangers of the idea of the autonomous individual.The Autonomous Individual will appeal to philosophers working on free will and autonomy, moral philosophy, and philosophy of social sciences, as well as scholars and advanced students in disciplines such as cognitive science, sociology, cultural theory, and philosophical anthropology.

The Autonomous Individual: A Praxeological Enactivist Account (Routledge Studies in Contemporary Philosophy)

This book advances a new theory of what it means to be an autonomous individual with free will and an authentic self. It synthesizes the new “action turn” from 4E cognitive science with the new “practice turn” from the social sciences to develop a new perspective on our self-interpretation as autonomous individuals.Our entire life is built upon one central foundation: the idea that we human beings are autonomous individuals. While this idea is presupposed in some academic fields, such as law and moral philosophy, it is challenged or denied in others. This book aims to move beyond debates about whether free will exists. Instead, it proposes that the idea that human beings are autonomous individuals is a culturally developed self-interpretation that is permanently enacted in social practices. Parts of it describe biological reality correctly, parts are social reality, and parts are mere fictions. This view – which the author calls "praxeological enactivism" – combines work from enactive cognitive science with practice theory from the social sciences. The book concludes by discussing the ethical advantages and dangers of the idea of the autonomous individual.The Autonomous Individual will appeal to philosophers working on free will and autonomy, moral philosophy, and philosophy of social sciences, as well as scholars and advanced students in disciplines such as cognitive science, sociology, cultural theory, and philosophical anthropology.

Autonomous Intelligent Cyber Defense Agent: A Comprehensive Guide (Advances in Information Security #87)

This book offers a structured overview and a comprehensive guide to the emerging field of Autonomous Intelligent Cyber Defense Agents (AICA). The book discusses the current technical issues in autonomous cyber defense and offers information on practical design approaches. The material is presented in a way that is accessible to non-specialists, with tutorial information provided in the initial chapters and as needed throughout the book. The reader is provided with clear and comprehensive background and reference material for each aspect of AICA.Today’s cyber defense tools are mostly watchers. They are not active doers. They do little to plan and execute responses to attacks, and they don’t plan and execute recovery activities. Response and recovery – core elements of cyber resilience – are left to human cyber analysts, incident responders and system administrators. This is about to change. The authors advocate this vision, provide detailed guide to how such a vision can be realized in practice, and its current state of the art.This book also covers key topics relevant to the field, including functional requirements and alternative architectures of AICA, how it perceives and understands threats and the overall situation, how it plans and executes response and recovery, how it survives threats, and how human operators deploy and control AICA. Additionally, this book covers issues of testing, risk, and policy pertinent to AICA, and provides a roadmap towards future R&D in this field.This book targets researchers and advanced students in the field of cyber defense and resilience. Professionals working in this field as well as developers of practical products for cyber autonomy will also want to purchase this book.

Autonomous Intelligent Systems: Second International Workshop, AIS-ADM 2007, St. Petersburg, Russia, June 3-5, 2007, Proceedings (Lecture Notes in Computer Science #4476)

This book constitutes the refereed proceedings of the Second International Workshop on Autonomous Intelligent Systems: Agents and Data Mining, AIS-ADM 2007, held in St. Petersburg, Russia in June 2007. The 17 revised full papers and six revised short papers presented together with four invited lectures cover agent and data mining, agent competition and data mining, as well as text mining, semantic Web, and agents.

Autonomous Intelligent Systems: International Workshop, AIS-ADM 2005 (Lecture Notes in Computer Science #3505)

Autonomous Intelligent Vehicles: Theory, Algorithms, and Implementation (Advances in Computer Vision and Pattern Recognition)

This important text/reference presents state-of-the-art research on intelligent vehicles, covering not only topics of object/obstacle detection and recognition, but also aspects of vehicle motion control. With an emphasis on both high-level concepts, and practical detail, the text links theory, algorithms, and issues of hardware and software implementation in intelligent vehicle research. Topics and features: presents a thorough introduction to the development and latest progress in intelligent vehicle research, and proposes a basic framework; provides detection and tracking algorithms for structured and unstructured roads, as well as on-road vehicle detection and tracking algorithms using boosted Gabor features; discusses an approach for multiple sensor-based multiple-object tracking, in addition to an integrated DGPS/IMU positioning approach; examines a vehicle navigation approach using global views; introduces algorithms for lateral and longitudinal vehicle motion control.

Autonomous Knowledge: Radical Enhancement, Autonomy, and the Future of Knowing

A central conclusion developed and defended throughout the book is that epistemic autonomy is necessary for knowledge (both knowledge-that and knowledge-how) and in ways that epistemologists have not yet fully appreciated. The book is divided into five chapters. Chapter 1 motivates (using a series of twists on Lehrer's TrueTemp case) the claim that propositional knowledge requires autonomous belief. Chapters 2 and 3 flesh out this proposal in two ways, by defending a specific form of history-sensitive externalism with respect to propositional knowledge-apt autonomous belief (Chapter 2) and by showing how the idea that knowledge requires autonomous belief—understood along the externalist lines proposed—corresponds with an entirely new class of knowledge defeaters (Chapter 3). Chapter 4 extends the proposal to (both intellectualist and anti-intellectualist) knowledge-how and performance enhancement, and in a way that combines insights from virtue epistemology with research on freedom, responsibility, and manipulation. Chapter 5 concludes with a new twist on the Value of Knowledge debate, by vindicating the value of epistemically autonomous knowledge over that which falls short, including (mere) heteronomous but otherwise epistemically impeccable justified true belief.

Autonomous Knowledge: Radical Enhancement, Autonomy, and the Future of Knowing

A central conclusion developed and defended throughout the book is that epistemic autonomy is necessary for knowledge (both knowledge-that and knowledge-how) and in ways that epistemologists have not yet fully appreciated. The book is divided into five chapters. Chapter 1 motivates (using a series of twists on Lehrer's TrueTemp case) the claim that propositional knowledge requires autonomous belief. Chapters 2 and 3 flesh out this proposal in two ways, by defending a specific form of history-sensitive externalism with respect to propositional knowledge-apt autonomous belief (Chapter 2) and by showing how the idea that knowledge requires autonomous belief—understood along the externalist lines proposed—corresponds with an entirely new class of knowledge defeaters (Chapter 3). Chapter 4 extends the proposal to (both intellectualist and anti-intellectualist) knowledge-how and performance enhancement, and in a way that combines insights from virtue epistemology with research on freedom, responsibility, and manipulation. Chapter 5 concludes with a new twist on the Value of Knowledge debate, by vindicating the value of epistemically autonomous knowledge over that which falls short, including (mere) heteronomous but otherwise epistemically impeccable justified true belief.

Autonomous Land Vehicles: Steps towards Service Robots

The economic potential of autonomous mobile robots will increase tremendously during the next years. Service robots such as cleaning machines and inspection or assistance robots will bring us great support in our daily lives. This textbook provides an introduction to the methods of controlling these robotic systems. Starting from mobile robot kinematics, the reader receives a systematic overview of the basic problems as well as methods and algorithms used for solving them. Localisation, object recognition, map building, navigation and control architectures for autonomous vehicles will be discussed in detail. In conclusion, a survey of specific service robot applications is included as well. This book is a very useful introduction to mobile robotics for beginners as well as advanced students and engineers.

Autonomous Language Learning with Technology: Beyond The Classroom (Advances in Digital Language Learning and Teaching)

This book looks beyond the classroom, and focuses on out-of-class autonomous use of technology for language learning, discussing the theoretical frameworks, key findings and critical issues. The proliferation of digital language learning resources and tools is forcing language education into an era of unprecedented change. The book will stimulate discussions on how to support language learners to construct quality autonomous technology-mediated out-of-class learning experience outside the classroom and raise greater awareness of and research interest in this field. Out-of-class learning constitutes an important context for human development, and active engagement in out-of-class activities is associated with successful language development. With convenient access to expanded resources, venues and learning spaces, today's learners are not as dependent on in-class learning as they used to be. Thus, a deeper understanding of the terrain of out-of-class learning is of increasing significance in the current educational era. Technology is part and parcel of out-of-class language learning, and has been a primary source that learners actively use to construct language learning experience beyond the classroom. Language learners of all ages around the world have been found to actively utilize technological resources to support their language learning beyond formal language learning contexts. Insights into learners' out-of-class autonomous use of technology for language learning are essential to our understanding of out-of-class learning and inform educators on how language learners could be better supported to maximize the educational potentials of technology to construct quality out-of-class learning experience.

Autonomous Language Learning with Technology: Beyond The Classroom (Advances in Digital Language Learning and Teaching)

This book looks beyond the classroom, and focuses on out-of-class autonomous use of technology for language learning, discussing the theoretical frameworks, key findings and critical issues. The proliferation of digital language learning resources and tools is forcing language education into an era of unprecedented change. The book will stimulate discussions on how to support language learners to construct quality autonomous technology-mediated out-of-class learning experience outside the classroom and raise greater awareness of and research interest in this field. Out-of-class learning constitutes an important context for human development, and active engagement in out-of-class activities is associated with successful language development. With convenient access to expanded resources, venues and learning spaces, today's learners are not as dependent on in-class learning as they used to be. Thus, a deeper understanding of the terrain of out-of-class learning is of increasing significance in the current educational era. Technology is part and parcel of out-of-class language learning, and has been a primary source that learners actively use to construct language learning experience beyond the classroom. Language learners of all ages around the world have been found to actively utilize technological resources to support their language learning beyond formal language learning contexts. Insights into learners' out-of-class autonomous use of technology for language learning are essential to our understanding of out-of-class learning and inform educators on how language learners could be better supported to maximize the educational potentials of technology to construct quality out-of-class learning experience.

Autonomous Learner Model Resource Book

Autonomous Learner Model Resource Book includes activities and strategies to support the development of autonomous learners. More than 40 activities are included, all geared to the emotional, social, cognitive, and physical development of students. Teachers may use these activities and strategies with the entire class, small groups, or with individuals who are ready to be independent, self-directed, lifelong learners. These learners have the passions, abilities, skills, and attitudes to go beyond the regular curriculum and take control of their own educational pathways. Field-tested strategies and activities in the book include Find Someone Who, Teacher and Learner Questionnaires, Lifelong Notebook, Time Capsule, and Night of the Notables.

Autonomous Learner Model Resource Book

Autonomous Learner Model Resource Book includes activities and strategies to support the development of autonomous learners. More than 40 activities are included, all geared to the emotional, social, cognitive, and physical development of students. Teachers may use these activities and strategies with the entire class, small groups, or with individuals who are ready to be independent, self-directed, lifelong learners. These learners have the passions, abilities, skills, and attitudes to go beyond the regular curriculum and take control of their own educational pathways. Field-tested strategies and activities in the book include Find Someone Who, Teacher and Learner Questionnaires, Lifelong Notebook, Time Capsule, and Night of the Notables.

Autonomous Learning in the Workplace (SIOP Organizational Frontiers Series)

Traditionally, organizations and researchers have focused on learning that occurs through formal training and development programs. However, the realities of today’s workplace suggest that it is difficult, if not impossible, for organizations to rely mainly on formal programs for developing human capital. This volume offers a broad-based treatment of autonomous learning to advance our understanding of learner-driven approaches and how organizations can support them. Contributors in industrial/organizational psychology, management, education, and entrepreneurship bring theoretical perspectives to help us understand autonomous learning and its consequences for individuals and organizations. Chapters consider informal learning, self-directed learning, learning from job challenges, mentoring, Massive Open Online Courses (MOOCs), organizational communities of practice, self-regulation, the role of feedback and errors, and how to capture value from autonomous learning. This book will appeal to scholars, researchers, and practitioners in psychology, management, training and development, and educational psychology.

Autonomous Learning in the Workplace (SIOP Organizational Frontiers Series)

Traditionally, organizations and researchers have focused on learning that occurs through formal training and development programs. However, the realities of today’s workplace suggest that it is difficult, if not impossible, for organizations to rely mainly on formal programs for developing human capital. This volume offers a broad-based treatment of autonomous learning to advance our understanding of learner-driven approaches and how organizations can support them. Contributors in industrial/organizational psychology, management, education, and entrepreneurship bring theoretical perspectives to help us understand autonomous learning and its consequences for individuals and organizations. Chapters consider informal learning, self-directed learning, learning from job challenges, mentoring, Massive Open Online Courses (MOOCs), organizational communities of practice, self-regulation, the role of feedback and errors, and how to capture value from autonomous learning. This book will appeal to scholars, researchers, and practitioners in psychology, management, training and development, and educational psychology.

Autonomous Learning Systems: From Data Streams to Knowledge in Real-time

Autonomous Learning Systems is the result of over a decade of focused research and studies in this emerging area which spans a number of well-known and well-established disciplines that include machine learning, system identification, data mining, fuzzy logic, neural networks, neuro-fuzzy systems, control theory and pattern recognition. The evolution of these systems has been both industry-driven with an increasing demand from sectors such as defence and security, aerospace and advanced process industries, bio-medicine and intelligent transportation, as well as research-driven – there is a strong trend of innovation of all of the above well-established research disciplines that is linked to their on-line and real-time application; their adaptability and flexibility. Providing an introduction to the key technologies, detailed technical explanations of the methodology, and an illustration of the practical relevance of the approach with a wide range of applications, this book addresses the challenges of autonomous learning systems with a systematic approach that lays the foundations for a fast growing area of research that will underpin a range of technological applications vital to both industry and society. Key features: Presents the subject systematically from explaining the fundamentals to illustrating the proposed approach with numerous applications. Covers a wide range of applications in fields including unmanned vehicles/robotics, oil refineries, chemical industry, evolving user behaviour and activity recognition. Reviews traditional fields including clustering, classification, control, fault detection and anomaly detection, filtering and estimation through the prism of evolving and autonomously learning mechanisms. Accompanied by a website hosting additional material, including the software toolbox and lecture notes. Autonomous Learning Systems provides a ‘one-stop shop’ on the subject for academics, students, researchers and practicing engineers. It is also a valuable reference for Government agencies and software developers.

Autonomous Learning Systems: From Data Streams to Knowledge in Real-time

Autonomous Learning Systems is the result of over a decade of focused research and studies in this emerging area which spans a number of well-known and well-established disciplines that include machine learning, system identification, data mining, fuzzy logic, neural networks, neuro-fuzzy systems, control theory and pattern recognition. The evolution of these systems has been both industry-driven with an increasing demand from sectors such as defence and security, aerospace and advanced process industries, bio-medicine and intelligent transportation, as well as research-driven – there is a strong trend of innovation of all of the above well-established research disciplines that is linked to their on-line and real-time application; their adaptability and flexibility. Providing an introduction to the key technologies, detailed technical explanations of the methodology, and an illustration of the practical relevance of the approach with a wide range of applications, this book addresses the challenges of autonomous learning systems with a systematic approach that lays the foundations for a fast growing area of research that will underpin a range of technological applications vital to both industry and society. Key features: Presents the subject systematically from explaining the fundamentals to illustrating the proposed approach with numerous applications. Covers a wide range of applications in fields including unmanned vehicles/robotics, oil refineries, chemical industry, evolving user behaviour and activity recognition. Reviews traditional fields including clustering, classification, control, fault detection and anomaly detection, filtering and estimation through the prism of evolving and autonomously learning mechanisms. Accompanied by a website hosting additional material, including the software toolbox and lecture notes. Autonomous Learning Systems provides a ‘one-stop shop’ on the subject for academics, students, researchers and practicing engineers. It is also a valuable reference for Government agencies and software developers.

The Autonomous Legal Concept of Communication to the Public: Interpretation in EU Copyright Law

The economic right of a copyright holder to communicate to the public has become an increasingly important and complex issue in recent years, this is partially due to changes in the way that content is accessed and consumed online. This innovative book analyses the right of communication to the public, taking account of what legal standing an autonomous legal concept can hold, and how this is impacted by wider harmonisation efforts at an EU level.The book explores the scope of the right of communication to the public in a twofold manner: Firstly, it examines the legal standing and effect, from a constitutional perspective of an autonomous legal concept. Secondly, it analyses CJEU case law, grouping cases by type of communication model to demonstrate what kind of authorisation is required to permit widened communication to the public online. Marušic builds on both strands of analysis to propose an operational model of communication for future use, that can aid in identifying and remedying infringements.Providing novel analysis on the definition and status of autonomous legal concepts in the EU, and setting this analysis against the context of harmonisation processes, this book will be of great interest to scholars working in both copyright law and EU law more widely.

The autonomous life?: Paradoxes of hierarchy and authority in the squatters movement in Amsterdam (Contemporary Anarchist Studies)

The Autonomous Life? is an ethnography of the squatters' movement in Amsterdam written by an anthropologist who lived and worked in a squatters' community for over three years. During that time she resided as a squatter in four different houses, worked on two successful anti-gentrification campaigns, was evicted from two houses and jailed once. With this unique perspective, Kadir systematically examines the contradiction between what people say and what they practice in a highly ideological radicalleftcommunity. The squatters' movement defines itself primarily as anti-hierarchical and anti-authoritarian, and yet is perpetually plagued by the contradiction between this public disavowal and the maintenance of hierarchy and authority within the movement. This study analyses how this contradiction is then reproduced in different micro-social interactions, examining the methods by which people negotiate minute details of their daily lives as squatter activists in the face of a fun house mirror of ideological expectations reflecting values from within the squatter community, that, in turn, often refract mainstream, middle-class norms.Using a unique critical perspective informed by gender and subaltern studies, this study contributes to social movements literature through a meticulous analysis of the production of power and hierarchy in a social movement subculture.An electronic edition of this book is freely available under a Creative Commons (CC BY-NC-SA) licence.

The autonomous life?: Paradoxes of hierarchy and authority in the squatters movement in Amsterdam (Contemporary Anarchist Studies)

The Autonomous Life? is an ethnography of the squatters' movement in Amsterdam written by an anthropologist who lived and worked in a squatters' community for over three years. During that time she resided as a squatter in four different houses, worked on two successful anti-gentrification campaigns, was evicted from two houses and jailed once. With this unique perspective, Kadir systematically examines the contradiction between what people say and what they practice in a highly ideological radicalleftcommunity. The squatters' movement defines itself primarily as anti-hierarchical and anti-authoritarian, and yet is perpetually plagued by the contradiction between this public disavowal and the maintenance of hierarchy and authority within the movement. This study analyses how this contradiction is then reproduced in different micro-social interactions, examining the methods by which people negotiate minute details of their daily lives as squatter activists in the face of a fun house mirror of ideological expectations reflecting values from within the squatter community, that, in turn, often refract mainstream, middle-class norms.Using a unique critical perspective informed by gender and subaltern studies, this study contributes to social movements literature through a meticulous analysis of the production of power and hierarchy in a social movement subculture.An electronic edition of this book is freely available under a Creative Commons (CC BY-NC-SA) licence.

Autonomous Maintenance in Seven Steps: Implementing TPM on the Shop Floor

Autonomous maintenance is an especially important pillar of Total Productive Maintenance (TPM) because it enlists the intelligence and skills of the people who are most familiar with factory machines-- equipment operators. Operators learn the maintenance skills they need to know through a seven-step autonomous maintenance program. Most companies in the West stop after implementing the first few steps and never realize the full benefits of autonomous maintenance. This book contains comprehensive coverage of all seven steps--not just the first three or four.It includes:An overview of autonomous maintenance features and checklists for step audits to certify team achievement at each AM step.TPM basics such as the six big losses, overall equipment effectiveness (OEE), causes of losses, and six major TPM activities.An implementation plan for TPM and five countermeasures for achieving zero breakdowns.Useful guidelines and case studies in applying AM to manual work such as assembly, inspection, and material handling.Integrates examples from Toyota, Asai Glass, Bridgestone, Hitachi, and other top companies.By treating machines as partners and taking responsibility for them, you get machines that you can rely on and help maintain an energized and responsive workplace. For companies that are serious about taking autonomous maintenance beyond mere cleaning programs, this is an essential sourcebook and implementation support.