Hierarchically Intelligent Machines

2001-12-28

Author: George N Saridis

Publisher: World Scientific

ISBN: 9789814489744

Category: Computers

Page: 144

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This book presents the result of 30 years' work on the original material related to “thinking machines”, a subject initiated by the author and his colleagues. It is based on the ability of the computer to represent the hierarchical procedure of task conception and execution found in human beings. It is arranged in three levels representing the structure of organizational systems: organization, coordination and execution. Hierarchically Intelligent Machines can serve as a guide to modern intelligent robots. Contents: Machine Intelligence, Knowledge and PrecisionConcepts and DefinitionsEntropy and the Principle of Increasing Precision with Decreasing Intelligence (IDPI)The Analytic Formulation of Hierarchically Intelligent MachinesHierarchically Intelligent Control: The Organization LevelHierarchically Intelligent Control: The Coordination LevelHierarchically Intelligent Control: The Execution LevelHierarchically Intelligent Control: Application to Robotic SystemsIntelligent Manufacturing Readership: Researchers in computer engineering. Keywords:

Innovations in Intelligent Machines-5

2014-05-22

Author: Valentina Emilia Balas

Publisher: Springer

ISBN: 9783662433706

Category: Technology & Engineering

Page: 248

View: 709

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This research monograph presents selected areas of applications in the field of control systems engineering using computational intelligence methodologies. A number of applications and case studies are introduced. These methodologies are increasing used in many applications of our daily lives. Approaches include, fuzzy-neural multi model for decentralized identification, model predictive control based on time dependent recurrent neural network development of cognitive systems, developments in the field of Intelligent Multiple Models based Adaptive Switching Control, designing military training simulators using modelling, simulation, and analysis for operational analyses and training, methods for modelling of systems based on the application of Gaussian processes, computational intelligence techniques for process control and image segmentation technique based on modified particle swarm optimized-fuzzy entropy.

We Humans and the Intelligent Machines

2020-04-09

Author: Jörg Dräger

Publisher: Verlag Bertelsmann Stiftung

ISBN: 9783867938853

Category: Political Science

Page: 248

View: 343

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Defeat cancer before it develops. Prevent crime before it happens. Get the perfect job without having to know the right people. Algorithms turn long-wished-for dreams into reality. At the same time, they can weaken solidarity in healthcare systems, lead to discriminatory court judgements and exclude individuals from the labor market. Algorithms are already deeply determining our lives. This book uses illuminating examples to describe the opportunities and risks machine-based decision-making presents for each of us. It also offers specific suggestions for ensuring artificial intelligence serves society as it should.

Representation and Reality in Humans, Other Living Organisms and Intelligent Machines

2017-08-29

Author: Gordana Dodig-Crnkovic

Publisher: Springer

ISBN: 9783319437842

Category: Computers

Page: 378

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This book enriches our views on representation and deepens our understanding of its different aspects. It arises out of several years of dialog between the editors and the authors, an interdisciplinary team of highly experienced researchers, and it reflects the best contemporary view of representation and reality in humans, other living beings, and intelligent machines. Structured into parts on the cognitive, computational, natural sciences, philosophical, logical, and machine perspectives, a theme of the field and the book is building and presenting networks, and the editors hope that the contributed chapters will spur understanding and collaboration between researchers in domains such as computer science, philosophy, logic, systems theory, engineering, psychology, sociology, anthropology, neuroscience, linguistics, and synthetic biology.

Automated Ecologies: Towards an Adaptive Ecology of Mind, Material and Intelligent Machines in Architecture?

2014-06-21

Author: Augustine Ong Wing

Publisher: Augustine Ong Wing

ISBN:

Category: Architecture

Page: 51

View: 195

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Popular notions of sustainability in architecture and urbanism idealizes nature as primary over the mediated complexity that is inevitable in a modern city's functioning. More specifically, contemporary ecological debates and models have failed to sufficiently account for the convergence of computers, automation and machine intelligence with the physical and social environments that is gradually emerging in the post-digital condition. The following publication takes an ecological view to interpret critically the micro-ecology of Amazon's automated warehouses which rely on adaptive machine intelligence which is further examined critically within the framework of cybernetic systems. Paradoxically, it also happens to thrive within the logic of the dominant global mode of consumption and production which is capitalism. Most importantly, this relational ecology lies at the intersection of the mediated complexity where the digital and physical worlds meet.

Emerging Memory and Computing Devices in the Era of Intelligent Machines

2020-04-16

Author: Pedram Khalili Amiri

Publisher: MDPI

ISBN: 9783039285020

Category: Technology & Engineering

Page: 276

View: 612

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Computing systems are undergoing a transformation from logic-centric towards memory-centric architectures, where overall performance and energy efficiency at the system level are determined by the density, performance, functionality and efficiency of the memory, rather than the logic sub-system. This is driven by the requirements of data-intensive applications in artificial intelligence, autonomous systems, and edge computing. We are at an exciting time in the semiconductor industry where several innovative device and technology concepts are being developed to respond to these demands, and capture shares of the fast growing market for AI-related hardware. This special issue is devoted to highlighting, discussing and presenting the latest advancements in this area, drawing on the best work on emerging memory devices including magnetic, resistive, phase change, and other types of memory. The special issue is interested in work that presents concepts, ideas, and recent progress ranging from materials, to memory devices, physics of switching mechanisms, circuits, and system applications, as well as progress in modeling and design tools. Contributions that bridge across several of these layers are especially encouraged.

Intelligent Machines

1985

Author: William B. Gevarter

Publisher: Englewood Cliffs, N.J. : Prentice Hall

ISBN: 0134688104

Category: Artificial intelligence

Page: 314

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Intelligent Machine Vision

2012-12-06

Author: Bruce Batchelor

Publisher: Springer Science & Business Media

ISBN: 9781447102397

Category: Computers

Page: 422

View: 798

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A number of important aspects of intelligent machine vision in one volume, describing the state of the art and current developments in the field, including: fundamentals of 'intelligent'image processing for machine vision systems; algorithm optimisation; implementation in high-speed electronic digital hardware; implementation in an integrated high-level software environment and applications for industrial product quality and process control. Backed by numerous illustrations, created using the authors IP software, this book will be of interest to researchers in the field of machine vision wishing to understand the discipline and develop new techniques. Also useful for under- and postgraduates.

Intelligent Robotic Systems: Theory, Design and Applications

2012-12-06

Author: Kimon P. Valavanis

Publisher: Springer Science & Business Media

ISBN: 9781461535683

Category: Technology & Engineering

Page: 252

View: 549

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Since the late 1960s, there has been a revolution in robots and industrial automation, from the design of robots with no computing or sensorycapabilities (first-generation), to the design of robots with limited computational power and feedback capabilities (second-generation), and the design of intelligent robots (third-generation), which possess diverse sensing and decision making capabilities. The development of the theory of intelligent machines has been developed in parallel to the advances in robot design. This theory is the natural outcome of research and development in classical control (1950s), adaptive and learning control (1960s), self-organizing control (1970s) and intelligent control systems (1980s). The theory of intelligent machines involves utilization and integration of concepts and ideas from the diverse disciplines of science, engineering and mathematics, and fields like artificial intelligence, system theory and operations research. The main focus and motivation is to bridge the gap between diverse disciplines involved and bring under a common cover several generic methodologies pertaining to what has been defined as machine intelligence. Intelligent robotic systems are a specific application of intelligent machines. They are complex computer controlled robotic systems equipped with a diverse set of visual and non visual sensors and possess decision making and problem solving capabilities within their domain of operation. Their modeling and control is accomplished via analytical and heuristic methodologies and techniques pertaining to generalized system theory and artificial intelligence. Intelligent Robotic Systems: Theory, Design and Applications, presents and justifies the fundamental concepts and ideas associated with the modeling and analysis of intelligent robotic systems. Appropriate for researchers and engineers in the general area of robotics and automation, Intelligent Robotic Systems is both a solid reference as well as a text for a graduate level course in intelligent robotics/machines.

Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics

2022-05-20

Author: Sunil Kumar Dhal

Publisher: John Wiley & Sons

ISBN: 9781119792352

Category: Computers

Page: 352

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BIG DATA ANALYTICS AND MACHINE INTELLIGENCE IN BIOMEDICAL AND HEALTH INFORMATICS Provides coverage of developments and state-of-the-art methods in the broad and diversified data analytics field and applicable areas such as big data analytics, data mining, and machine intelligence in biomedical and health informatics. The novel applications of Big Data Analytics and machine intelligence in the biomedical and healthcare sector is an emerging field comprising computer science, medicine, biology, natural environmental engineering, and pattern recognition. Biomedical and health informatics is a new era that brings tremendous opportunities and challenges due to the plentifully available biomedical data and the aim is to ensure high-quality and efficient healthcare by analyzing the data. The 12 chapters in??Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics??cover the latest advances and developments in health informatics, data mining, machine learning, and artificial intelligence. They have been organized with respect to the similarity of topics addressed, ranging from issues pertaining to the Internet of Things (IoT) for biomedical engineering and health informatics, computational intelligence for medical data processing, and Internet of Medical Things??(IoMT). New researchers and practitioners working in the field will benefit from reading the book as they can quickly ascertain the best performing methods and compare the different approaches. Audience Researchers and practitioners working in the fields of biomedicine, health informatics, big data analytics, Internet of Things, and machine learning.

Intelligent Control in Drying

2018-09-03

Author: Alex Martynenko

Publisher: CRC Press

ISBN: 9780429811319

Category: Science

Page: 463

View: 679

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Despite the available general literature in intelligent control, there is a definite lack of knowledge and know-how in practical applications of intelligent control in drying. This book fills that gap. Intelligent Control in Drying serves as an innovative and practical guide for researchers and professionals in the field of drying technologies, providing an overview of control principles and systems used in drying operations, from classical to model-based to adaptive and optimal control. At the same time, it lays out approaches to synthesis of control systems, based on the objectives and control strategies, reflecting complexity of drying process and material under drying. This essential reference covers both fundamental and practical aspects of intelligent control, sensor fusion and dynamic optimization with respect to drying.

A Thousand Brains

2021-03-02

Author: Jeff Hawkins

Publisher: Hachette UK

ISBN: 9781541675803

Category: Computers

Page: 251

View: 556

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A bestselling author, neuroscientist, and computer engineer unveils a theory of intelligence that will revolutionize our understanding of the brain and the future of AI. For all of neuroscience's advances, we've made little progress on its biggest question: How do simple cells in the brain create intelligence? Jeff Hawkins and his team discovered that the brain uses maplike structures to build a model of the world—not just one model, but hundreds of thousands of models of everything we know. This discovery allows Hawkins to answer important questions about how we perceive the world, why we have a sense of self, and the origin of high-level thought. A Thousand Brains heralds a revolution in the understanding of intelligence. It is a big-think book, in every sense of the word. One of the Financial Times' Best Books of 2021 One of Bill Gates' Five Favorite Books of 2021

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