Decentralized A I 3
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Practical Artificial Intelligence And Blockchain
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Author : Ganesh Prasad Kumble
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-07-31
Practical Artificial Intelligence And Blockchain written by Ganesh Prasad Kumble and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-31 with Computers categories.
Learn how to use AI and blockchain to build decentralized intelligent applications (DIApps) that overcome real-world challenges Key FeaturesUnderstand the fundamental concepts for converging artificial intelligence and blockchainApply your learnings to build apps using machine learning with Ethereum, IPFS, and MoiBitGet well-versed with the AI-blockchain ecosystem to develop your own DIAppsBook Description AI and blockchain are two emerging technologies catalyzing the pace of enterprise innovation. With this book, you’ll understand both technologies and converge them to solve real-world challenges. This AI blockchain book is divided into three sections. The first section covers the fundamentals of blockchain, AI, and affiliated technologies, where you’ll learn to differentiate between the various implementations of blockchains and AI with the help of examples. The second section takes you through domain-specific applications of AI and blockchain. You’ll understand the basics of decentralized databases and file systems and connect the dots between AI and blockchain before exploring products and solutions that use them together. You’ll then discover applications of AI techniques in crypto trading. In the third section, you’ll be introduced to the DIApp design pattern and compare it with the DApp design pattern. The book also highlights unique aspects of SDLC (software development lifecycle) when building a DIApp, shows you how to implement a sample contact tracing application, and delves into the future of AI with blockchain. By the end of this book, you’ll have developed the skills you need to converge AI and blockchain technologies to build smart solutions using the DIApp design pattern. What you will learnGet well-versed in blockchain basics and AI methodologiesUnderstand the significance of data collection and cleaning in AI modelingDiscover the application of analytics in cryptocurrency tradingGet to grips with open, permissioned, and private blockchainsExplore the DIApp design pattern and its merit in digital solutionsFind out how LSTM and ARIMA can be applied in crypto tradingUse the DIApp design pattern to build a sample contact tracing applicationGet started with building your own DIApps across various domainsWho this book is for This book is for blockchain and AI architects, developers, data scientists, data engineers, and evangelists who want to harness the power of artificial intelligence in blockchain applications. If you are looking for a blend of theoretical and practical use cases to understand how to implement smart cognitive insights into blockchain solutions, this book is what you need! Knowledge of machine learning and blockchain concepts is required.
Decentralized A I 3
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Author : Eric Werner
language : en
Publisher: North Holland
Release Date : 1992-01-01
Decentralized A I 3 written by Eric Werner and has been published by North Holland this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-01-01 with Science categories.
The study of Multi-Agent Systems has become an important new field of computer science. It is now realized that topics such as Multi-Agent Systems (MAS) and Distributed Artificial Intelligence (DAI) have a universal appeal because they investigate the more social side of computer systems. This social aspect ranges from Human-Computer Interaction (HCI), Computer Supported Cooperative Work (CSCW), Organizational Processing and Distributed Problem Solving (DPS), to Simulation of Social Systems and Organizations. All of these fields benefit from the study of multi-agent systems ranging from very simple to very complex agents and agent organizations. The papers in this volume address some basic issues in MAS research. Contributions range from theoretical studies to the practical applications of this new technology.
Decentralized A I
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Author : Y. Demazeau
language : en
Publisher: Elsevier
Release Date : 1990-07-06
Decentralized A I written by Y. Demazeau and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-07-06 with Computers categories.
Much research in Artificial Intelligence deals with a single agent having complete control over the world. A variation of this is Distributed AI (DAI), which is concerned with the collaborative solution of global problems by a distributed group of entities. This book deals with Decentralized AI (DzAI), which is concerned with the activity of an autonomous agent in a multi-agent world. The word ``agent'' is used in a broad sense, to designate an intelligent entity acting rationally and intentionally with respect to its goals and the current state of its knowledge. A number of these agents coexist and may collaborate with other agents in a common world; each agent may accomplish its own tasks, or cooperate with other agents to perform a personal or global task. The agents have imperfect knowledge about each other and about their common world, which they can update either through perception of the world, or by communication with each other. The papers were originally presented at a workshop held at King's College, Cambridge, and have been revised for this book.
Decentralized A I 2
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Author : Y. Demazeau
language : en
Publisher: Elsevier
Release Date : 1991-12-04
Decentralized A I 2 written by Y. Demazeau and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991-12-04 with Computers categories.
The purpose of this proceedings is to stimulate exchange and discussion of research in the field of multi-agent systems. A multi-agent system consists of at least two agents that are engaged in some task that may require coordination, cooperation and/or competition. An autonomous agent has its own goals, capabilities and knowledge. The actions of an agent occur in the context of other agents that may have structures and strategies different from the agent's own. Multi-agent problems arise when several autonomous agents share a common environment. These problems may result from limited resources, shared or competing goals, etc. This MAAMAW workshop proceedings emphasizes multi-agent systems of all sorts from very simple to very complex agents and agent organizations.
Regulatory Aspects Of Artificial Intelligence On Blockchain
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Author : Tehrani, Pardis Moslemzadeh
language : en
Publisher: IGI Global
Release Date : 2021-09-24
Regulatory Aspects Of Artificial Intelligence On Blockchain written by Tehrani, Pardis Moslemzadeh and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-24 with Computers categories.
The convergence of Artificial Intelligence (AI) in blockchain creates one of the world’s most reliable technology-enabled decision-making systems that is virtually tamper-proof and provides solid insights and decisions. The integration of AI and Blockchain affects many aspects from food supply chain logistics and healthcare record sharing to media royalties and financial security. It is imperative that regulatory standards are emphasized in order to support positive outcomes from the integration of AI in blockchain technology. Regulatory Aspects of Artificial Intelligence on Blockchain provides relevant legal and security frameworks and the latest empirical research findings in blockchain and AI. Through the latest research and standards, the book identifies and offers solutions for overcoming legal consequences that pertain to the application of AI into the blockchain system, especially concerning the usage of smart contracts. The chapters, while investigating the legal and security issues associated with these applications, also include topics such as smart contacts, network vulnerability, cryptocurrency, machine learning, and more. This book is essential for technologists, security analysts, legal specialists, privacy and data security practitioners, IT consultants, standardization professionals, researchers, academicians, and students interested in blockchain and AI from a legal and security viewpoint.
Anarchy Inc Profiting In A Decentralized World With Artificial Intelligence And Blockchain
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Author : Patrick Schwerdtfeger
language : en
Publisher:
Release Date : 2018-02-21
Anarchy Inc Profiting In A Decentralized World With Artificial Intelligence And Blockchain written by Patrick Schwerdtfeger and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-21 with Business & Economics categories.
Anarchy is coming. Decentralization is accelerating, and technology is facilitating the trend. Nobody trusts traditional institutions or authority figures anymore. Bitcoin, open source, Uber, social media, and the Arab Spring are all examples of anarchy in action.
Convergence Of Blockchain Ai And Iot
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Author : R. Indrakumari
language : en
Publisher: CRC Press
Release Date : 2021-12-23
Convergence Of Blockchain Ai And Iot written by R. Indrakumari and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-23 with Technology & Engineering categories.
Convergence of Blockchain, AI, and IoT: Concepts and Challenges discusses the convergence of three powerful technologies that play into the digital revolution and blur the lines between biological, digital, and physical objects. This book covers novel algorithms, solutions for addressing issues in applications, security, authentication, and privacy. The book provides an overview of the clinical scientific research enabling smart diagnosis equipment through AI. It presents the role these technologies play in augmented reality and blockchain, covers digital currency managed with bitcoin, and discusses deep learning and how it can enhance human thoughts and behaviors. Targeted audiences range from those interested in the technical revolution of blockchain, big data and the Internet of Things, to research scholars and the professional market.
Federated Learning
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Author : Qiang Yang
language : en
Publisher: Springer Nature
Release Date : 2020-11-25
Federated Learning written by Qiang Yang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-25 with Computers categories.
This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. Firstly, it introduces different privacy-preserving methods for protecting a federated learning model against different types of attacks such as data leakage and/or data poisoning. Secondly, the book presents incentive mechanisms which aim to encourage individuals to participate in the federated learning ecosystems. Last but not least, this book also describes how federated learning can be applied in industry and business to address data silo and privacy-preserving problems. The book is intended for readers from both the academia and the industry, who would like to learn about federated learning, practice its implementation, and apply it in their own business. Readers are expected to have some basic understanding of linear algebra, calculus, and neural network. Additionally, domain knowledge in FinTech and marketing would be helpful.”
Ai Defi And Blockchain
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Author : Abebe-Bard Ai Woldemariam
language : en
Publisher: 1A
Release Date : 2024-02-07
Ai Defi And Blockchain written by Abebe-Bard Ai Woldemariam and has been published by 1A this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-07 with Business & Economics categories.
AI, DeFi, and Blockchain: The Future of Finance Unlock the transformative potential of AI, DeFi, and blockchain for a more efficient, transparent, and inclusive financial future. Conversational Chat Informative Book By Abebe-Bard AI Woldemariam This book dives deep into the world of decentralized finance (DeFi), blockchain technology, and artificial intelligence (AI), exploring their individual strengths and how they can be harnessed together to revolutionize the financial landscape. Inside you'll discover: Foundational knowledge: Grasp the core principles of DeFi, blockchain, and AI, gaining a clear understanding of their individual workings. Synergy in action: See how AI, DeFi, and blockchain combine to create a more efficient, transparent, and inclusive financial system. AI's role in DeFi: Explore how AI empowers automated trading, risk management, and smart contract development within the DeFi ecosystem. Benefits and challenges: Weigh the advantages and hurdles of integrating AI into DeFi, navigating potential roadblocks while maximizing the benefits. Future considerations: Delve into thought-provoking topics like DeFi automation, secure AI in DeFi, financial inclusion, ethical considerations, and shaping the future of finance with these powerful technologies. Written in an engaging, conversational style, this book is your roadmap to understanding the future of finance. Whether you're a seasoned investor, a tech enthusiast, or simply curious about the impact of cutting-edge technologies, this book provides the insights you need to navigate the exciting world of AI, DeFi, and blockchain.
Blockchain Intelligence
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Author : Zibin Zheng
language : en
Publisher: Springer Nature
Release Date : 2021-05-31
Blockchain Intelligence written by Zibin Zheng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-31 with Computers categories.
This book focuses on using artificial intelligence (AI) to improve blockchain ecosystems. Gathering the latest advances resulting from AI in blockchain data analytics, it also presents big data research on blockchain systems. Despite blockchain's merits of decentralisation, immutability, non-repudiation and traceability, the development of blockchain technology has faced a number of challenges, such as the difficulty of data analytics on encrypted blockchain data, poor scalability, software vulnerabilities, and the scarcity of appropriate incentive mechanisms. Combining AI with blockchain has the potential to overcome the limitations, and machine learning-based approaches may help to analyse blockchain data and to identify misbehaviours in blockchain. In addition, deep reinforcement learning methods can be used to improve the reliability of blockchain systems. This book focuses in the use of AI to improve blockchain systems and promote blockchain intelligence. It describes data extraction, exploration and analytics on representative blockchain systems such as Bitcoin and Ethereum. It also includes data analytics on smart contracts, misbehaviour detection on blockchain data, and market analysis of blockchain-based cryptocurrencies. As such, this book provides researchers and practitioners alike with valuable insights into big data analysis of blockchain data, AI-enabled blockchain systems, and applications driven by blockchain intelligence.