Distributed Artificial Intelligence A Complete Guide 2020 Edition

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Distributed Artificial Intelligence A Complete Guide - 2020 Edition

Author : Gerardus Blokdyk
Publisher : 5starcooks
ISBN 13 : 9781867322948
Total Pages : 308 pages
Book Rating : 4.3/5 (229 download)

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Book Synopsis Distributed Artificial Intelligence A Complete Guide - 2020 Edition by : Gerardus Blokdyk

Download or read book Distributed Artificial Intelligence A Complete Guide - 2020 Edition written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2020-02-02 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: To whom do you add value? What are the expected Distributed artificial intelligence results? Act/Adjust: What Do you Need to Do Differently? How do you verify and develop ideas and innovations? Can the schedule be done in the given time? 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 Artificial Intelligence investments work better. This Distributed Artificial Intelligence All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Distributed Artificial Intelligence Self-Assessment. Featuring 950 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 Artificial Intelligence improvements can be made. In using the questions you will be better able to: - diagnose Distributed Artificial 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 Artificial Intelligence and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Distributed Artificial Intelligence Scorecard, you will develop a clear picture of which Distributed Artificial Intelligence areas need attention. Your purchase includes access details to the Distributed Artificial Intelligence self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Distributed Artificial Intelligence Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.

Life of AI

Author : William Krystal
Publisher : Independently Published
ISBN 13 :
Total Pages : 812 pages
Book Rating : 4.6/5 (432 download)

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Book Synopsis Life of AI by : William Krystal

Download or read book Life of AI written by William Krystal and published by Independently Published. This book was released on 2020-06-10 with total page 812 pages. Available in PDF, EPUB and Kindle. Book excerpt: About Life of Artificial Intelligence Life of Ai Book Offers a Comprehensive Artificial Intelligence Program that will help you work on today's cutting-edge technology - Artificial Intelligence (AI). As part of this best AI teaching, you will master various aspects of Data Science (DS), Machine Learning (ML), Natural Language Processing (NLP), Deep Learning (DL), Reinforcement Learning (RL), IOT (Internet of Things), Python for Artificial Intelligence, Robotics and much more.What will you learn in this Life of Ai Book?The main goal of this book is to familiarize you with all aspects of AI so that you can start your career as an artificial intelligence engineer. A few of the many topics/modules that you will learn in the program are: -Basics of Artificial Intelligence techniques-Data Science-Machine Learning -Natural Language Processing-Deep Learning-Reinforcement Learning-Internet of Things-Python for Artificial Intelligence-Robotics

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.

Distributed Artificial Intelligence

Author : Gerardus Blokdyk
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781719116091
Total Pages : 140 pages
Book Rating : 4.1/5 (16 download)

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Book Synopsis Distributed Artificial Intelligence by : Gerardus Blokdyk

Download or read book Distributed Artificial Intelligence written by Gerardus Blokdyk and published by Createspace Independent Publishing Platform. This book was released on 2018-05-16 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do we maintain Distributed artificial intelligence's Integrity? What is Distributed artificial intelligence's impact on utilizing the best solution(s)? Are assumptions made in Distributed artificial intelligence stated explicitly? Who needs to know about Distributed artificial intelligence ? Who will be responsible for making the decisions to include or exclude requested changes once Distributed artificial intelligence is underway? This astounding Distributed artificial intelligence self-assessment will make you the credible Distributed artificial intelligence domain visionary by revealing just what you need to know to be fluent and ready for any Distributed artificial intelligence challenge. How do I reduce the effort in the Distributed artificial intelligence work to be done to get problems solved? How can I ensure that plans of action include every Distributed artificial intelligence task and that every Distributed artificial intelligence outcome is in place? How will I save time investigating strategic and tactical options and ensuring Distributed artificial intelligence costs are low? How can I deliver tailored Distributed artificial intelligence advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Distributed artificial intelligence essentials are covered, from every angle: the Distributed artificial intelligence self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Distributed artificial intelligence outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Distributed artificial intelligence practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Distributed artificial intelligence are maximized with professional results. Your purchase includes access details to the Distributed artificial intelligence self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book.

Distributed Artificial Intelligence

Author : Michael N. Huhns
Publisher : Elsevier
ISBN 13 : 0323137598
Total Pages : 385 pages
Book Rating : 4.3/5 (231 download)

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Book Synopsis Distributed Artificial Intelligence by : Michael N. Huhns

Download or read book Distributed Artificial Intelligence written by Michael N. Huhns and published by Elsevier. This book was released on 2012-12-02 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed Artificial Intelligence presents a collection of papers describing the state of research in distributed artificial intelligence (DAI). DAI is concerned with the cooperative solution of problems by a decentralized group of agents. The agents may range from simple processing elements to complex entities exhibiting rational behavior. The book is organized into three parts. Part I addresses ways to develop control abstractions that efficiently guide problem-solving; communication abstractions that yield cooperation; and description abstractions that result in effective organizational structure. Part II describes architectures for developing and testing DAI systems. Part III discusses applications of DAI in manufacturing, office automation, and man-machine interactions. This book is intended for researchers, system developers, and students in artificial intelligence and related disciplines. It can also be used as a reference for students and researchers in other disciplines, such as psychology, philosophy, robotics, and distributed computing, who wish to understand the issues of DAI.

Distributed Artificial Intelligence

Author : Robin Gasser
Publisher : Morgan Kaufmann
ISBN 13 : 1483294811
Total Pages : 536 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Distributed Artificial Intelligence by : Robin Gasser

Download or read book Distributed Artificial Intelligence written by Robin Gasser and published by Morgan Kaufmann. This book was released on 2014-05-23 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed Artificial Intelligence

Distributed Artificial Intelligence

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (664 download)

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Book Synopsis Distributed Artificial Intelligence by :

Download or read book Distributed Artificial Intelligence written by and published by . This book was released on 1987 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence A Complete Guide - 2020 Edition

Author : Gerardus Blokdyk
Publisher : 5starcooks
ISBN 13 : 9781867343530
Total Pages : 318 pages
Book Rating : 4.3/5 (435 download)

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Book Synopsis Artificial Intelligence A Complete Guide - 2020 Edition by : Gerardus Blokdyk

Download or read book Artificial Intelligence A Complete Guide - 2020 Edition written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2020-04-16 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is your organizations AI footprint? What do customers identify as getting in the way of fulfilling journey? Is your technology adequate for an AI-fuelled organization? Are there missing values or invalid data? What are the key concerns of AI-run customer service? 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 Artificial Intelligence investments work better. This Artificial Intelligence All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Artificial Intelligence Self-Assessment. Featuring 2203 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Artificial Intelligence improvements can be made. In using the questions you will be better able to: - diagnose Artificial 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 Artificial Intelligence and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Artificial Intelligence Scorecard, you will develop a clear picture of which Artificial Intelligence areas need attention. Your purchase includes access details to the Artificial Intelligence self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Artificial Intelligence Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.

A Citizen's Guide to Artificial Intelligence

Author : John Zerilli
Publisher : MIT Press
ISBN 13 : 0262044811
Total Pages : 233 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis A Citizen's Guide to Artificial Intelligence by : John Zerilli

Download or read book A Citizen's Guide to Artificial Intelligence written by John Zerilli and published by MIT Press. This book was released on 2021-02-23 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise but informative overview of AI ethics and policy. Artificial intelligence, or AI for short, has generated a staggering amount of hype in the past several years. Is it the game-changer it's been cracked up to be? If so, how is it changing the game? How is it likely to affect us as customers, tenants, aspiring home-owners, students, educators, patients, clients, prison inmates, members of ethnic and sexual minorities, voters in liberal democracies? This book offers a concise overview of moral, political, legal and economic implications of AI. It covers the basics of AI's latest permutation, machine learning, and considers issues including transparency, bias, liability, privacy, and regulation.

Distributed Artificial Intelligence

Author : Satya Prakash Yadav
Publisher :
ISBN 13 : 9780367638825
Total Pages : 0 pages
Book Rating : 4.6/5 (388 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 . This book was released on 2024-10-04 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a deeper understanding of the relevant aspects of AI and DAI impacting each other's efficacy for better output. It will bridge the gap between research solutions and key technologies related to data analytics to ensure Industry 4.0 requirements and at the same time ensure proper network communication and security of big data.

Distributed Artificial Intelligence

Author : Robin Gasser
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)

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Book Synopsis Distributed Artificial Intelligence by : Robin Gasser

Download or read book Distributed Artificial Intelligence written by Robin Gasser and published by . This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Distributed Artificial Intelligence: Theory and Praxis

Author : Nicholas M. Avouris
Publisher : Springer Science & Business Media
ISBN 13 : 9780792315858
Total Pages : 254 pages
Book Rating : 4.3/5 (158 download)

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Book Synopsis Distributed Artificial Intelligence: Theory and Praxis by : Nicholas M. Avouris

Download or read book Distributed Artificial Intelligence: Theory and Praxis written by Nicholas M. Avouris and published by Springer Science & Business Media. This book was released on 1992-11-30 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed AI is the branch of AI concerned with how to coordinate behavior among a collection of semi-autonomous problem-solving agents: how they can coordinate their knowledge, goals and plans to act together, to solve joint problems, or to make individually or globally rational decisions in the face of uncertainty and multiple, conflicting perspectives. Distributed, coordinated systems of problem solvers are rapidly becoming practical partners in critical human problem-solving environments, and DAI is a rapidly developing field of both application and research, experiencing explosive growth around the world. This book presents a collection of articles surveying several major recent developments in DAI. The book focuses on issues that arise in building practical DAI systems in real-world settings, and covers work undertaken in a number of major research and development projects in the U.S. and in Europe. It provides a synthesis of recent thinking, both theoretical and applied, on major problems of DAI in the 1990s.

Big Data and Artificial Intelligence

Author : Hans Weber
Publisher :
ISBN 13 :
Total Pages : 160 pages
Book Rating : 4.6/5 (746 download)

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Book Synopsis Big Data and Artificial Intelligence by : Hans Weber

Download or read book Big Data and Artificial Intelligence written by Hans Weber and published by . This book was released on 2020-08-12 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Have you always wondered how it is that a machine understands what you are saying? Did you wonder how Siri or Alexa always knows exactly what to show you when you ask them something? If you did, you have come to the right place. Machines are able to interpret and understand human beings and also interpret the data that is fed to them because of artificial intelligence. So, what is artificial intelligence? If you have been reading the basics, you will know that artificial intelligence is a human being's attempt to make a machine smart enough to handle processes that a human being would normally do. It is not easy to do this, since you will need to understand the system and also learn the required programming languages to instruct the computer to behave in the required manner.

Readings in Distributed Artificial Intelligence

Author : Alan H. Bond
Publisher : Morgan Kaufmann
ISBN 13 : 1483214443
Total Pages : 668 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Readings in Distributed Artificial Intelligence by : Alan H. Bond

Download or read book Readings in Distributed Artificial Intelligence written by Alan H. Bond and published by Morgan Kaufmann. This book was released on 2014-06-05 with total page 668 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most artificial intelligence research investigates intelligent behavior for a single agent--solving problems heuristically, understanding natural language, and so on. Distributed Artificial Intelligence (DAI) is concerned with coordinated intelligent behavior: intelligent agents coordinating their knowledge, skills, and plans to act or solve problems, working toward a single goal, or toward separate, individual goals that interact. DAI provides intellectual insights about organization, interaction, and problem solving among intelligent agents. This comprehensive collection of articles shows the breadth and depth of DAI research. The selected information is relevant to emerging DAI technologies as well as to practical problems in artificial intelligence, distributed computing systems, and human-computer interaction. "Readings in Distributed Artificial Intelligence" proposes a framework for understanding the problems and possibilities of DAI. It divides the study into three realms: the natural systems approach (emulating strategies and representations people use to coordinate their activities), the engineering/science perspective (building automated, coordinated problem solvers for specific applications), and a third, hybrid approach that is useful in analyzing and developing mixed collections of machines and human agents working together. The editors introduce the volume with an important survey of the motivations, research, and results of work in DAI. This historical and conceptual overview combines with chapter introductions to guide the reader through this fascinating field. A unique and extensive bibliography is also provided.

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.

Artificial Intelligence

Author : Neil Wilkins
Publisher : Independently Published
ISBN 13 : 9781092879675
Total Pages : 214 pages
Book Rating : 4.8/5 (796 download)

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Book Synopsis Artificial Intelligence by : Neil Wilkins

Download or read book Artificial Intelligence written by Neil Wilkins and published by Independently Published. This book was released on 2019-04-06 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you want to learn key AI concepts to get you quickly up to speed with all things AI, then keep reading Two manuscripts in one book: Artificial Intelligence: What You Need to Know About Machine Learning, Robotics, Deep Learning, Recommender Systems, Internet of Things, Neural Networks, Reinforcement Learning, and Our Future Internet of Things: What You Need to Know About IoT, Big Data, Predictive Analytics, Artificial Intelligence, Machine Learning, Cybersecurity, Business Intelligence, Augmented Reality and Our Future This book covers everything from machine learning to robotics and the internet of things. You can use it as a nifty guidebook whenever you come across news headlines that talk about some new advancement in AI by Google or Facebook. By the time you finish reading, you will be aware of what artificial neural networks are, how gradient descent and back propagation work, and what deep learning is. You will also learn a comprehensive history of AI, from the first invention of automations in antiquity to the driver-less cars of today. In part 1 of this book, you will: Understand how machines can "think" and how they learn Learn the five reasons why experts are warning us about AI research Find the answers to the top six myths of artificial intelligence Learn what neural networks are and how they work, the "brains" of machine learning Understand reinforcement learning and how it is used to teach machine learning systems through experience Become up-to-date with the current state-of-the-art artificial intelligence methods that use deep learning Learn the basics of recommender systems Expand your current view of machines and what is possible with modern robotics Enter the vast world of the internet of things technologies Find out why AI is the new business degree And much, much more! Some of the topics covered in part 2 of this book include: Origins of IoT IoT Security Ethical Hacking Internet of Things Under The Cushy Foot of Tech Giants The Power of Infinite Funds IoT Toys Bio-robotics Predictive Analytics Machine Learning Artificial Intelligence Cybersecurity Big Data Business Intelligence Augmented Reality Virtual Reality Our Future And much, much more If you want to learn more about the artificial intelligence and internet of things, then scroll up and click "add to cart"!

Distributed Artificial Intelligence

Author : Fouad Sabry
Publisher : One Billion Knowledgeable
ISBN 13 :
Total Pages : 116 pages
Book Rating : 4.:/5 (661 download)

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Book Synopsis Distributed Artificial Intelligence by : Fouad Sabry

Download or read book Distributed Artificial Intelligence written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-06-24 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Distributed Artificial Intelligence Research in the area of artificial intelligence known as Distributed Artificial Intelligence (DAI), which is often referred to as Decentralized Artificial Intelligence, is a subfield that focuses on the creation of distributed solutions for various types of challenges. The field of multi-agent systems is closely related to and was actually preceded by the discipline of DAI. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Distributed Artificial Intelligence Chapter 2: Artificial Intelligence Chapter 3: List of Artificial Intelligence Projects Chapter 4: Software Agent Chapter 5: Cooperative Distributed Problem Solving Chapter 6: Multi-Agent System Chapter 7: Swarm Robotics Chapter 8: Blackboard System Chapter 9: Belief–Desire–Intention Software Model Chapter 10: Multi-Agent Planning (II) Answering the public top questions about distributed artificial intelligence. (III) Real world examples for the usage of distributed artificial intelligence in many fields. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of distributed artificial intelligence.