Distributed Artificial Intelligence A Complete Guide 2020 Edition
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Distributed Artificial Intelligence
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Author : Gerardus Blokdyk
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2018-05-16
Distributed Artificial Intelligence written by Gerardus Blokdyk and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-16 with categories.
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
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Author : Robin Gasser
language : en
Publisher: Morgan Kaufmann
Release Date : 2014-05-23
Distributed Artificial Intelligence written by Robin Gasser and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-23 with Computers categories.
Distributed Artificial Intelligence
Life Of Ai
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Author : William Krystal
language : en
Publisher: Independently Published
Release Date : 2020-06-10
Life Of Ai written by William Krystal and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-10 with categories.
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
Distributed Artificial Intelligence
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Author : Satya Prakash Yadav
language : en
Publisher: CRC Press
Release Date : 2020-12-18
Distributed Artificial Intelligence written by Satya Prakash Yadav and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-18 with Technology & Engineering categories.
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.
Distributed Artificial Intelligence
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Author :
language : en
Publisher:
Release Date : 1987
Distributed Artificial Intelligence written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with categories.
Distributed Artificial Intelligence
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Author : Michael N. Huhns
language : en
Publisher: Elsevier
Release Date : 2012-12-02
Distributed Artificial Intelligence written by Michael N. Huhns and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-02 with Computers categories.
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.
Artificial Intelligence With Python
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Author : Alberto Artasanchez
language : en
Publisher:
Release Date : 2020-01-31
Artificial Intelligence With Python written by Alberto Artasanchez and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-31 with Computers categories.
New edition of the bestselling guide to artificial intelligence with Python, updated to Python 3.x and TensorFlow 2, with seven new chapters that cover RNNs, AI & Big Data, fundamental use cases, chatbots, and more. Key Features Completely updated and revised to Python 3.x, and TensorFlow 2 Seven new chapters that include AI on the cloud, RNNs and DL models, feature engineering, the machine learning data pipeline, and more New author with 25 years of experience in artificial intelligence across multiple industries and enterprise domains Book Description Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x and TensorFlow 2. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications. This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data. Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques. What you will learn Understand what artificial intelligence, machine learning, and data science are Explore the most common artificial intelligence use cases Learn how to build a machine learning pipeline Assimilate the basics of feature selection and feature engineering Identify the differences between supervised and unsupervised learning Discover the most recent advances and tools offered for AI development in the cloud Develop automatic speech recognition systems and chatbots Understand RNNs and various DL models Who this book is for The intended audience for this book is Python developers who want to build real-world Artificial Intelligence applications. Basic Python programming experience and awareness of machine learning concepts and techniques is mandatory.
Distributed Artificial Intelligence Agent Technology And Collaborative Applications
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Author : Sugumaran, Vijayan
language : en
Publisher: IGI Global
Release Date : 2008-12-31
Distributed Artificial Intelligence Agent Technology And Collaborative Applications written by Sugumaran, Vijayan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-31 with Computers categories.
"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.
Distributed Artificial Intelligence
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-06-24
Distributed Artificial Intelligence written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-24 with Computers categories.
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.
Artificial Intelligence
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Author : Neil Wilkins
language : en
Publisher: Independently Published
Release Date : 2019-04-06
Artificial Intelligence written by Neil Wilkins and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-06 with categories.
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"!