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Distributed Intelligence In Design
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Book Synopsis Distributed Intelligence In Design by : Tuba Kocatürk
Download or read book Distributed Intelligence In Design written by Tuba Kocatürk and published by John Wiley & Sons. This book was released on 2011-01-14 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book contains the papers developed from the presentations at the Distributed Intelligence in Design Symposium, held in Salford in May 2009. In this context, Distributed Intelligence refers to the interdisciplinary knowledge of a range of different individuals in different organisations, with different backgrounds and experience, and the symposium discussed the media, technologies and behaviours required to support their successful collaboration. The book focusses on: how parametric and generative design media can be coupled with and managed alongside Building Information Modelling tools and systems how the cross-disciplinary knowledge is distributed and coordinated across different software, participants and organizations the characteristics of the evolving creative and collaborative practices how built environment education should be adapted to this digitally-networked practice and highly distributed intelligence in design The chapters address a range of innovative developments, methodologies, applications, research work and theoretical arguments, to present current experience and expectations as collaborative practice becomes critical in the design of future built environments.
Book Synopsis Conceptual Design Methodology of Distributed Intelligence Large Scale Systems by : Bassem R. Nairouz
Download or read book Conceptual Design Methodology of Distributed Intelligence Large Scale Systems written by Bassem R. Nairouz and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed intelligence systems are starting to gain dominance in the field of large-scale complex systems. These systems are characterized by nonlinear behavior patterns that are only predicted through simulation-based engineering. In addition, the autonomy, intelligence, and reconfiguration capabilities required by certain systems introduce obstacles adding another layer of complexity. However, there exists no standard process for the design of such systems. This research presents a design methodology focusing on distributed control architectures while concurrently considering the systems design process. The methodology has two major components. First, it introduces a hybrid design process, based on the infusion of the control architecture and conceptual system design processes. The second component is the development of control architectures metamodel, placing a distinction between control configuration and control methods. This enables a standard representation of a wide spectrum of control architectures frameworks.
Book Synopsis Design Using Distributed Intelligence Within Advanced Production Machinery by : Giles Eric Tewkesbury
Download or read book Design Using Distributed Intelligence Within Advanced Production Machinery written by Giles Eric Tewkesbury and published by . This book was released on 1994 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Integrated Distributed Intelligent Systems for Engineering Design by : Ming Rao
Download or read book Integrated Distributed Intelligent Systems for Engineering Design written by Ming Rao and published by CRC Press. This book was released on 1996-11-15 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents the philosophy, methodology, techniques, and applications of IDIS for engineering design. Looks at recent research, and details a five-step problem-solving strategy of problem definition, conceptual design, parameter design, design analysis, and design evaluation. Describes industrial applications of IDIS, including the design of a mechanical transmission, a heat exchanger network, and a process control system. For graduate courses on engineering design, artificial intelligence, and computer integrated manufacturing. No index. Annotation copyrighted by Book News, Inc., Portland, OR
Book Synopsis Distributed Cognitions by : Gavriel Salomon
Download or read book Distributed Cognitions written by Gavriel Salomon and published by Cambridge University Press. This book was released on 1997 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book re-examines the 'distributed' social and cultural contextual factors that affect human cognition.
Book Synopsis Design Using Distributed Intelligence Within Advanced Production Machinery by : Giles Tewkesbury
Download or read book Design Using Distributed Intelligence Within Advanced Production Machinery written by Giles Tewkesbury and published by . This book was released on 1994 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Distributed Artificial Intelligence by : Satya Prakash Yadav
Download or read book Distributed Artificial Intelligence written by Satya Prakash Yadav and published by CRC Press. This book was released on 2020-12-17 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed Artificial Intelligence (DAI) came to existence as an approach for solving complex learning, planning, and decision-making problems. When we talk about decision making, there may be some meta-heuristic methods where the problem solving may resemble like operation research. But exactly, it is not related completely to management research. The text examines representing and using organizational knowledge in DAI systems, dynamics of computational ecosystems, and communication-free interactions among rational agents. This publication takes a look at conflict-resolution strategies for nonhierarchical distributed agents, constraint-directed negotiation of resource allocations, and plans for multiple agents. Topics included plan verification, generation, and execution, negotiation operators, representation, network management problem, and conflict-resolution paradigms. The manuscript elaborates on negotiating task decomposition and allocation using partial global planning and mechanisms for assessing nonlocal impact of local decisions in distributed planning. The book will attract researchers and practitioners who are working in management and computer science, and industry persons in need of a beginner to advanced understanding of the basic and advanced concepts.
Book Synopsis Assistive Technology Design for Intelligence Augmentation by : Stefan Carmien
Download or read book Assistive Technology Design for Intelligence Augmentation written by Stefan Carmien and published by Springer Nature. This book was released on 2022-05-31 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: Assistive Technology Design for Intelligence Augmentation presents a series of frameworks, perspectives, and design guidelines drawn from disciplines spanning urban design, artificial intelligence, sociology, and new forms of collaborative work, as well as the author's experience in designing systems for people with cognitive disabilities. Many of the topics explored came from the author's graduate studies at the Center for LifeLong Learning and Design, part of the Department of Computer Science and the Institute of Cognitive Science at the University of Colorado, Boulder. The members of the Center for LifeLong Learning and Design came from a wide range of design perspectives including computer science, molecular biology, journalism, architecture, assistive technology (AT), urban design, sociology, and psychology. The main emphasis of this book is to provide leverage for understanding the problems that the AT designer faces rather than facilitating the design process itself. Looking at the designer's task with these lenses often changes the nature of the problem to be solved. The main body of this book consists of a series of short chapters describing a particular approach, its applicability and relevance to design for intelligence augmentation in complex computationally supported systems, and examples in research and the marketplace. The final part of the book consists of listing source documents for each of the topics and a reading list for further exploration. This book provides an introduction to perspectives and frameworks that are not commonly taught in presentations of AT design which may also provide valuable design insights to general human-computer interaction and computer-supported cooperative work researchers and practitioners.
Book Synopsis Distributed Intelligence by : Gerard Blokdyk
Download or read book Distributed Intelligence written by Gerard Blokdyk and published by Createspace Independent Publishing Platform. This book was released on 2018-05-25 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: How does the organization define, manage, and improve its Distributed intelligence processes? Who are the people involved in developing and implementing Distributed intelligence? What about Distributed intelligence Analysis of results? What does Distributed intelligence success mean to the stakeholders? How do we go about Securing Distributed intelligence? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Distributed intelligence investments work better. This Distributed intelligence All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Distributed intelligence Self-Assessment. Featuring new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Distributed intelligence improvements can be made. In using the questions you will be better able to: - diagnose Distributed intelligence projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Distributed intelligence and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Distributed intelligence Scorecard, you will develop a clear picture of which Distributed intelligence areas need attention. Your purchase includes access details to the Distributed intelligence self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.
Book Synopsis The e-Learning Reader by : Sara de Freitas
Download or read book The e-Learning Reader written by Sara de Freitas and published by Bloomsbury Publishing. This book was released on 2012-04-05 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technological advancements have revolutionised the field of learning in the past twenty years and are continuing to push the boundaries of institutions towards new forms of knowledge construction, social interaction and meaning making. This book examines the key debates that have shaped that technological journey, from ancient to modern times, and draws together meaningful articles to provide an expert guide for e-learning practitioners, research staff, students and industrial trainees. The e-Learning Reader provides a scholarly collection of key texts which examine the concept and practice of e-learning in education and training. The book brings together a series of formative historical and recent articles which frame the debate on e-learning, drawing together new comments from leading experts in the field of e-learning.
Book Synopsis Integrated Distributed Intelligent Systems in Manufacturing by : M. Rao
Download or read book Integrated Distributed Intelligent Systems in Manufacturing written by M. Rao and published by Springer Science & Business Media. This book was released on 1993-07-31 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Manufacturing is a new disciplinary field which applies computer science, artificial intelligence, mechanical engineering and systems science to industrial manufacturing processes. This book presents a new integration architecture for implementing real-time distributed intelligent manufacturing systems.
Book Synopsis Distributed Intelligence Systems by : D. Mladenov
Download or read book Distributed Intelligence Systems written by D. Mladenov and published by Pergamon. This book was released on 1989 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hardbound. This volume focuses on the recent advances in distributed intelligent control systems. Topics covered include; applications and case studies of distributed control systems, design methodologies for distributed intelligent systems and architectural considerations of computer design for this type of control system. Containing 54 papers, the Proceedings will be a useful reference source for all those involved in the designing and implementing of distributed control systems.
Book Synopsis Distributed Machine Learning Patterns by : Yuan Tang
Download or read book Distributed Machine Learning Patterns written by Yuan Tang and published by Simon and Schuster. This book was released on 2024-01-30 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical patterns for scaling machine learning from your laptop to a distributed cluster. Distributing machine learning systems allow developers to handle extremely large datasets across multiple clusters, take advantage of automation tools, and benefit from hardware accelerations. This book reveals best practice techniques and insider tips for tackling the challenges of scaling machine learning systems. In Distributed Machine Learning Patterns you will learn how to: Apply distributed systems patterns to build scalable and reliable machine learning projects Build ML pipelines with data ingestion, distributed training, model serving, and more Automate ML tasks with Kubernetes, TensorFlow, Kubeflow, and Argo Workflows Make trade-offs between different patterns and approaches Manage and monitor machine learning workloads at scale Inside Distributed Machine Learning Patterns you’ll learn to apply established distributed systems patterns to machine learning projects—plus explore cutting-edge new patterns created specifically for machine learning. Firmly rooted in the real world, this book demonstrates how to apply patterns using examples based in TensorFlow, Kubernetes, Kubeflow, and Argo Workflows. Hands-on projects and clear, practical DevOps techniques let you easily launch, manage, and monitor cloud-native distributed machine learning pipelines. About the technology Deploying a machine learning application on a modern distributed system puts the spotlight on reliability, performance, security, and other operational concerns. In this in-depth guide, Yuan Tang, project lead of Argo and Kubeflow, shares patterns, examples, and hard-won insights on taking an ML model from a single device to a distributed cluster. About the book Distributed Machine Learning Patterns provides dozens of techniques for designing and deploying distributed machine learning systems. In it, you’ll learn patterns for distributed model training, managing unexpected failures, and dynamic model serving. You’ll appreciate the practical examples that accompany each pattern along with a full-scale project that implements distributed model training and inference with autoscaling on Kubernetes. What's inside Data ingestion, distributed training, model serving, and more Automating Kubernetes and TensorFlow with Kubeflow and Argo Workflows Manage and monitor workloads at scale About the reader For data analysts and engineers familiar with the basics of machine learning, Bash, Python, and Docker. About the author Yuan Tang is a project lead of Argo and Kubeflow, maintainer of TensorFlow and XGBoost, and author of numerous open source projects. Table of Contents PART 1 BASIC CONCEPTS AND BACKGROUND 1 Introduction to distributed machine learning systems PART 2 PATTERNS OF DISTRIBUTED MACHINE LEARNING SYSTEMS 2 Data ingestion patterns 3 Distributed training patterns 4 Model serving patterns 5 Workflow patterns 6 Operation patterns PART 3 BUILDING A DISTRIBUTED MACHINE LEARNING WORKFLOW 7 Project overview and system architecture 8 Overview of relevant technologies 9 A complete implementation
Book Synopsis Multi-Agent Systems for Concurrent Intelligent Design and Manufacturing by : Weiming Shen
Download or read book Multi-Agent Systems for Concurrent Intelligent Design and Manufacturing written by Weiming Shen and published by CRC Press. This book was released on 2019-09-17 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Agent Technology, or Agent-Based Approaches, is a new paradigm for developing software applications. It has been hailed as 'the next significant breakthrough in software development', and 'the new revolution in software' after object technology or object-oriented programming. In this context, an agent is a computer system which is capable of act
Book Synopsis Intelligent Computing by : Kohei Arai
Download or read book Intelligent Computing written by Kohei Arai and published by Springer Nature. This book was released on 2020-07-03 with total page 728 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the core areas of computing and their applications in the real world. Presenting papers from the Computing Conference 2020 covers a diverse range of research areas, describing various detailed techniques that have been developed and implemented. The Computing Conference 2020, which provided a venue for academic and industry practitioners to share new ideas and development experiences, attracted a total of 514 submissions from pioneering academic researchers, scientists, industrial engineers and students from around the globe. Following a double-blind, peer-review process, 160 papers (including 15 poster papers) were selected to be included in these proceedings. Featuring state-of-the-art intelligent methods and techniques for solving real-world problems, the book is a valuable resource and will inspire further research and technological improvements in this important area.
Book Synopsis IBM b-type Data Center Networking: Design and Best Practices Introduction by : Jon Tate
Download or read book IBM b-type Data Center Networking: Design and Best Practices Introduction written by Jon Tate and published by IBM Redbooks. This book was released on 2010-12-30 with total page 614 pages. Available in PDF, EPUB and Kindle. Book excerpt: As organizations drive to transform and virtualize their IT infrastructures to reduce costs, and manage risk, networking is pivotal to success. Optimizing network performance, availability, adaptability, security, and cost is essential to achieving the maximum benefit from your infrastructure. In this IBM® Redbooks® publication, we address these requirements: Expertise to plan and design networks with holistic consideration of servers, storage, application performance, and manageability Networking solutions that enable investment protection with performance and cost options that match your environment Technology and expertise to design and implement and manage network security and resiliency Robust network management software for integrated, simplified management that lowers operating costs of complex networks IBM and Brocade have entered into an agreement to provide expanded network technology choices with the new IBM b-type Ethernet Switches and Routers, to provide an integrated end-to-end resiliency and security framework. Combined with the IBM vast data center design experience and the Brocade networking expertise, this portfolio represents the ideal convergence of strength and intelligence. For organizations striving to transform and virtualize their IT infrastructure, such a combination can help you reduce costs, manage risks, and prepare for the future. This book is meant to be used along with "IBM b-type Data Center Networking: Product Introduction and Initial Setup," SG24-7785.
Book Synopsis Advances in Factories of the Future, CIM and Robotics by : M. Cotsaftis
Download or read book Advances in Factories of the Future, CIM and Robotics written by M. Cotsaftis and published by Elsevier. This book was released on 2013-10-22 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: Productivity enhancement is a major concern for all manufacturing enterprises. Productivity enhancement can be achieved in many ways and many facets of its problems have been investigated over the last decades. A number of methods, tools and technologies have emerged to efficiently increase productivity and rationalize management of manufacturing enterprises. International experts from both academia and industry share their experiences in this collection of articles, contributing to the latest advances in the many facets of productivity enhancement in manufacturing enterprises. Themes and visions are detailed on factories of the future, new management approaches, manufacturing system integration and manufacturing information systems. These technical areas can be grouped into four major sections: Factories of the future; Techniques and tools for automated manufacturing; Robotics; and Industrial applications. The papers illustrate a pattern of valuable and interesting approaches to the fascinating problem of designing a new generation of robots with high enough performance capabilities to be used in an industrial context.
