Distributed Intelligence In Design

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Distributed Intelligence In Design

Author : Tuba Kocatürk
Publisher : John Wiley & Sons
ISBN 13 : 1444392387
Total Pages : 363 pages
Book Rating : 4.4/5 (443 download)

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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.

Distributed Sensing and Intelligent Systems

Author : Mohamed Elhoseny
Publisher : Springer Nature
ISBN 13 : 3030642585
Total Pages : 841 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Distributed Sensing and Intelligent Systems by : Mohamed Elhoseny

Download or read book Distributed Sensing and Intelligent Systems written by Mohamed Elhoseny and published by Springer Nature. This book was released on 2022-06-27 with total page 841 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the proceeding of the 1st International Conference on Distributed Sensing and Intelligent Systems (ICDSIS2020) which will be held in The National School of Applied Sciences of Agadir, Ibn Zohr University, Agadir, Morocco on February 01-03, 2020. ICDSIS2020 is co-organized by Computer Vision and Intelligent Systems Lab, University of North Texas, USA as a scientific collaboration event with The National School of Applied Sciences of Agadir, Ibn Zohr University. ICDSIS2020 aims to foster students, researchers, academicians and industry persons in the field of Computer and Information Science, Intelligent Systems, and Electronics and Communication Engineering in general. The volume collects contributions from leading experts around the globe with the latest insights on emerging topics, and includes reviews, surveys, and research chapters covering all aspects of distributed sensing and intelligent systems. The volume is divided into 5 key sections: Distributed Sensing Applications; Intelligent Systems; Advanced theories and algorithms in machine learning and data mining; Artificial intelligence and optimization, and application to Internet of Things (IoT); and Cybersecurity and Secure Distributed Systems. This conference proceeding is an academic book which can be read by students, analysts, policymakers, and regulators interested in Distributed Sensing, Smart Network approaches, Smart Cities, IoT Applications, and Intelligent Applications. It is written in plain and easy language, and describes new concepts when they appear first so that a reader without prior background of the field finds it readable. The book is primarily intended for research students in sensor networks and IoT applications (including intelligent information systems, and smart sensors applications), academics in higher education institutions including universities and vocational colleges, policy makers and legislators.

Distributed Cognitions

Author : Gavriel Salomon
Publisher : Cambridge University Press
ISBN 13 : 9780521574235
Total Pages : 304 pages
Book Rating : 4.5/5 (742 download)

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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.

Distributed Artificial Intelligence

Author : Satya Prakash Yadav
Publisher : CRC Press
ISBN 13 : 1000262057
Total Pages : 337 pages
Book Rating : 4.0/5 (2 download)

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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.

Foundations of Distributed Artificial Intelligence

Author : G. M. P. O'Hare
Publisher : John Wiley & Sons
ISBN 13 : 9780471006756
Total Pages : 598 pages
Book Rating : 4.0/5 (67 download)

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Book Synopsis Foundations of Distributed Artificial Intelligence by : G. M. P. O'Hare

Download or read book Foundations of Distributed Artificial Intelligence written by G. M. P. O'Hare and published by John Wiley & Sons. This book was released on 1996-04-05 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed Artificial Intelligence (DAI) is a dynamic area of research and this book is the first comprehensive, truly integrated exposition of the discipline presenting influential contributions from leaders in the field. Commences with a solid introduction to the theoretical and practical issues of DAI, followed by a discussion of the core research topics--communication, coordination, planning--and how they are related to each other. The third section describes a number of DAI testbeds, illustrating particular strategies commissioned to provide software environments for building and experimenting with DAI systems. The final segment contains contributions which consider DAI from different perspectives.

Integrated Distributed Intelligent Systems for Engineering Design

Author : Ming Rao
Publisher : CRC Press
ISBN 13 : 9789056995102
Total Pages : 342 pages
Book Rating : 4.9/5 (951 download)

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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

Creating Internet Intelligence

Author : Ben Goertzel
Publisher : Springer Science & Business Media
ISBN 13 : 1461505615
Total Pages : 332 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Creating Internet Intelligence by : Ben Goertzel

Download or read book Creating Internet Intelligence written by Ben Goertzel and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Creating Internet Intelligence is an interdisciplinary treatise exploring the hypothesis that global computer and communication networks will one day evolve into an autonomous intelligent system, and making specific recommendations as to what engineers and scientists can do today to encourage and shape this evolution. A general theory of intelligent systems is described, based on the author's previous work; and in this context, the specific notion of Internet intelligence is fleshed out, in its commercial, social, psychological, computer-science, philosophical, and theological aspects. Software engineering work carried out by the author and his team over the last few years, aimed at seeding the emergence of Internet intelligence, is reviewed in some detail, including the Webmind AI Engine, a uniquely powerful Internet-based digital intelligence, and the Webworld platform for peer-to-peer distributed cognition and artificial life. The book should be of interest to computer scientists, philosophers, and social scientists, and more generally to anyone concerned about the nature of the mind, or the evolution of computer and Internet technology and its effect on human life.

Assistive Technology Design for Intelligence Augmentation

Author : Stefan Carmien
Publisher : Springer Nature
ISBN 13 : 3031016017
Total Pages : 171 pages
Book Rating : 4.0/5 (31 download)

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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.

Distributed Machine Learning Patterns

Author : Yuan Tang
Publisher : Simon and Schuster
ISBN 13 : 1638354197
Total Pages : 375 pages
Book Rating : 4.6/5 (383 download)

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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

Distributed Intelligence

Author : Gerard Blokdyk
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781719591225
Total Pages : 140 pages
Book Rating : 4.5/5 (912 download)

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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.

Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications

Author : Sugumaran, Vijayan
Publisher : IGI Global
ISBN 13 : 1605661457
Total Pages : 450 pages
Book Rating : 4.6/5 (56 download)

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Book Synopsis Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications by : Sugumaran, Vijayan

Download or read book Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications written by Sugumaran, Vijayan and published by IGI Global. This book was released on 2008-12-31 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book is a catalyst for emerging research in intelligent information, specifically artificial intelligent technologies and applications to assist in improving productivity in many roles such as assistants to human operators and autonomous decision-making components of complex systems"--Provided by publisher.

E-Learning Reader

Author : Sara de Freitas
Publisher : A&C Black
ISBN 13 : 1441191410
Total Pages : 367 pages
Book Rating : 4.4/5 (411 download)

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Book Synopsis E-Learning Reader by : Sara de Freitas

Download or read book E-Learning Reader written by Sara de Freitas and published by A&C Black. This book was released on 2012-06-07 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: Examines the key debates that have shaped that technological journey, from ancient to modern times.

Multiagent Systems, second edition

Author : Gerhard Weiss
Publisher : MIT Press
ISBN 13 : 0262533871
Total Pages : 917 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Multiagent Systems, second edition by : Gerhard Weiss

Download or read book Multiagent Systems, second edition written by Gerhard Weiss and published by MIT Press. This book was released on 2016-10-28 with total page 917 pages. Available in PDF, EPUB and Kindle. Book excerpt: The new edition of an introduction to multiagent systems that captures the state of the art in both theory and practice, suitable as textbook or reference. Multiagent systems are made up of multiple interacting intelligent agents—computational entities to some degree autonomous and able to cooperate, compete, communicate, act flexibly, and exercise control over their behavior within the frame of their objectives. They are the enabling technology for a wide range of advanced applications relying on distributed and parallel processing of data, information, and knowledge relevant in domains ranging from industrial manufacturing to e-commerce to health care. This book offers a state-of-the-art introduction to multiagent systems, covering the field in both breadth and depth, and treating both theory and practice. It is suitable for classroom use or independent study. This second edition has been completely revised, capturing the tremendous developments in multiagent systems since the first edition appeared in 1999. Sixteen of the book's seventeen chapters were written for this edition; all chapters are by leaders in the field, with each author contributing to the broad base of knowledge and experience on which the book rests. The book covers basic concepts of computational agency from the perspective of both individual agents and agent organizations; communication among agents; coordination among agents; distributed cognition; development and engineering of multiagent systems; and background knowledge in logics and game theory. Each chapter includes references, many illustrations and examples, and exercises of varying degrees of difficulty. The chapters and the overall book are designed to be self-contained and understandable without additional material. Supplemental resources are available on the book's Web site. Contributors Rafael Bordini, Felix Brandt, Amit Chopra, Vincent Conitzer, Virginia Dignum, Jürgen Dix, Ed Durfee, Edith Elkind, Ulle Endriss, Alessandro Farinelli, Shaheen Fatima, Michael Fisher, Nicholas R. Jennings, Kevin Leyton-Brown, Evangelos Markakis, Lin Padgham, Julian Padget, Iyad Rahwan, Talal Rahwan, Alex Rogers, Jordi Sabater-Mir, Yoav Shoham, Munindar P. Singh, Kagan Tumer, Karl Tuyls, Wiebe van der Hoek, Laurent Vercouter, Meritxell Vinyals, Michael Winikoff, Michael Wooldridge, Shlomo Zilberstein

Integrated Distributed Intelligent Systems in Manufacturing

Author : M. Rao
Publisher : Springer Science & Business Media
ISBN 13 : 9780412543708
Total Pages : 338 pages
Book Rating : 4.5/5 (437 download)

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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.

Distributed Intelligence Systems

Author : D. Mladenov
Publisher : Pergamon
ISBN 13 :
Total Pages : 380 pages
Book Rating : 4.3/5 (91 download)

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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.

A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence

Author : Nikos Kolobov
Publisher : Springer Nature
ISBN 13 : 3031015436
Total Pages : 71 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence by : Nikos Kolobov

Download or read book A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence written by Nikos Kolobov and published by Springer Nature. This book was released on 2022-06-01 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiagent systems is an expanding field that blends classical fields like game theory and decentralized control with modern fields like computer science and machine learning. This monograph provides a concise introduction to the subject, covering the theoretical foundations as well as more recent developments in a coherent and readable manner. The text is centered on the concept of an agent as decision maker. Chapter 1 is a short introduction to the field of multiagent systems. Chapter 2 covers the basic theory of singleagent decision making under uncertainty. Chapter 3 is a brief introduction to game theory, explaining classical concepts like Nash equilibrium. Chapter 4 deals with the fundamental problem of coordinating a team of collaborative agents. Chapter 5 studies the problem of multiagent reasoning and decision making under partial observability. Chapter 6 focuses on the design of protocols that are stable against manipulations by self-interested agents. Chapter 7 provides a short introduction to the rapidly expanding field of multiagent reinforcement learning. The material can be used for teaching a half-semester course on multiagent systems covering, roughly, one chapter per lecture.

Internet and Distributed Computing Systems

Author : Raffaele Montella
Publisher : Springer Nature
ISBN 13 : 3030349144
Total Pages : 511 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Internet and Distributed Computing Systems by : Raffaele Montella

Download or read book Internet and Distributed Computing Systems written by Raffaele Montella and published by Springer Nature. This book was released on 2019-11-09 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 12th International Conference on Internet and Distributed Systems held in Naples, Italy, in October 2019. The 47 revised full papers presented were carefully reviewed and selected from 145 submissions. This conference desires to look for inspiration in diverse areas (e.g. infrastructure & system design, software development, big data, control theory, artificial intelligence, IoT, self-adaptation, emerging models, paradigms, applications and technologies related to Internet-based distributed systems) to develop new ways to design and manage such complex and adaptive computation resources.