Artificial Intelligence And Knowledge Processing

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Artificial Intelligence and Knowledge Processing: Methods and Applications

Author : Hemachandran K.
Publisher : Bentham Science Publishers
ISBN 13 : 9815165747
Total Pages : 241 pages
Book Rating : 4.8/5 (151 download)

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Book Synopsis Artificial Intelligence and Knowledge Processing: Methods and Applications by : Hemachandran K.

Download or read book Artificial Intelligence and Knowledge Processing: Methods and Applications written by Hemachandran K. and published by Bentham Science Publishers. This book was released on 2023-11-24 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Knowledge Processing: Methods and Applications demonstrates the transformative power of Artificial Intelligence (AI) in our lives. The book is a collection of 14 edited reviews that cover a wide range of topics showcasing the application of AI and machine learning to create knowledge, and facilitate different processes. The book starts by illuminating how AI is employed in robotics, IoT, marketing, and operations. It showcases how AI extracts insights from big data, optimizes museum management, and empowers automated garden path planning using reinforcement learning. The book also explores how AI can be used to predict heart disease using artificial neural networks. Furthermore, the book underscores how AI predicts crop suitability, manages crop systems, and can even help to detect violence in using computer vision. Chapters highlight specific techniques or systems such as recommendation systems and reinforcement learning where appropriate. Key Features: · Showcases a wide range of AI applications · Bridges theory and practice with real-word insights · Uses accessible language to explain complex AI concepts · Includes references for advanced readers This book is intended as a guide for a broad range of readers who want to learn about AI applications and the profound influence it has on our lives.

Artificial Intelligence and Knowledge Processing

Author : Hemachandran K
Publisher : CRC Press
ISBN 13 : 1000934624
Total Pages : 372 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Artificial Intelligence and Knowledge Processing by : Hemachandran K

Download or read book Artificial Intelligence and Knowledge Processing written by Hemachandran K and published by CRC Press. This book was released on 2023-09-06 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Knowledge Processing play a vital role in various automation industries and their functioning in converting traditional industries to AI-based factories. This book acts as a guide and blends the basics of Artificial Intelligence in various domains, which include Machine Learning, Deep Learning, Artificial Neural Networks, and Expert Systems, and extends their application in all sectors. Artificial Intelligence and Knowledge Processing: Improved Decision-Making and Prediction, discusses the designing of new AI algorithms used to convert general applications to AI-based applications. It highlights different Machine Learning and Deep Learning models for various applications used in healthcare and wellness, agriculture, and automobiles. The book offers an overview of the rapidly growing and developing field of AI applications, along with Knowledge of Engineering, and Business Analytics. Real-time case studies are included across several different fields such as Image Processing, Text Mining, Healthcare, Finance, Digital Marketing, and HR Analytics. The book also introduces a statistical background and probabilistic framework to enhance the understanding of continuous distributions. Topics such as Ensemble Models, Deep Learning Models, Artificial Neural Networks, Expert Systems, and Decision-Based Systems round out the offerings of this book. This multi-contributed book is a valuable source for researchers, academics, technologists, industrialists, practitioners, and all those who wish to explore the applications of AI, Knowledge Processing, Deep Learning, and Machine Learning.

Knowledge Processing and Applied Artificial Intelligence

Author : Soumitra Dutta
Publisher : Elsevier
ISBN 13 : 1483183920
Total Pages : 368 pages
Book Rating : 4.4/5 (831 download)

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Book Synopsis Knowledge Processing and Applied Artificial Intelligence by : Soumitra Dutta

Download or read book Knowledge Processing and Applied Artificial Intelligence written by Soumitra Dutta and published by Elsevier. This book was released on 2014-05-16 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge Processing and Applied Artificial Intelligence discusses the business potential of knowledge processing and examines the aspects of applied artificial intelligence technology. The book is comprised of nine chapters that are organized into five parts. The text first covers knowledge processing and applied artificial intelligence, and then proceeds to tackling the techniques for acquiring, representing, and reasoning with knowledge. The next part deals with the process of creating and implementing strategically advantageous knowledge-based system applications. The fourth part covers intelligent interfaces, while the last part details alternative approaches to knowledge processing. The book will be of great use to students and professionals of computer or business related disciplines.

Artificial Intelligence and Economic Theory: Skynet in the Market

Author : Tshilidzi Marwala
Publisher : Springer
ISBN 13 : 3319661043
Total Pages : 204 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Artificial Intelligence and Economic Theory: Skynet in the Market by : Tshilidzi Marwala

Download or read book Artificial Intelligence and Economic Theory: Skynet in the Market written by Tshilidzi Marwala and published by Springer. This book was released on 2017-09-18 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book theoretically and practically updates major economic ideas such as demand and supply, rational choice and expectations, bounded rationality, behavioral economics, information asymmetry, pricing, efficient market hypothesis, game theory, mechanism design, portfolio theory, causality and financial engineering in the age of significant advances in man-machine systems. The advent of artificial intelligence has changed many disciplines such as engineering, social science and economics. Artificial intelligence is a computational technique which is inspired by natural intelligence concepts such as the swarming of birds, the working of the brain and the pathfinding of the ants. Artificial Intelligence and Economic Theory: Skynet in the Market analyses the impact of artificial intelligence on economic theories, a subject that has not been studied. It also introduces new economic theories and these are rational counterfactuals and rational opportunity costs. These ideas are applied to diverse areas such as modelling of the stock market, credit scoring, HIV and interstate conflict. Artificial intelligence ideas used in this book include neural networks, particle swarm optimization, simulated annealing, fuzzy logic and genetic algorithms. It, furthermore, explores ideas in causality including Granger as well as the Pearl causality models.

Cooperative Knowledge Processing

Author : Stefan Kirn
Publisher : Springer Science & Business Media
ISBN 13 : 1447130421
Total Pages : 319 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Cooperative Knowledge Processing by : Stefan Kirn

Download or read book Cooperative Knowledge Processing written by Stefan Kirn and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the light of the challenges that face today's organizations, there is a grow ing recognition that future market success and long term' survival of enter prises will increasingly depend upon the effective usage of information technology. Of late, a new generation of terminology has emerged to describe enterprises. This terminology draws heavily upon the virtual concep- virtual reality, virtual organization, virtual (working) environment, and indeed virtual product. However, developing computerized organisations for the 21st century demands serious thought with regard to the judicious integration of organizational theory, design and practice with research tools and methods from within information processing technology. Within this book, we approach this aim from the perspective of a radically decentralized (possibly virtual) enterprise. We assume that organizations are becoming increasingly process-orientated, rather than adhering to the former more traditional organizational structures based upon task oriented models. This approach has proved illuminating in that, due to the inherent autonomy of organizational subunits any approach to coordinating decentralized activ ities (including workflows and business processes) necessitates a cooperative style of problem solving. This book introduces the reader to a stimulating new field of interdiscipli nary research in cooperative problem solving. In Chapter 1 Kim presents a view of three central discip14tes, namely those of Organizational Theory, Computer Supported Cooperative Work (CSCW) and Distributed Artificial Intelligence (DAI). The applications given here demonstrate how future enterprises will benefit from recent advances in the technological arena of cooperative knowledge processing.

Artificial Intelligence for Knowledge Management

Author : Eunika Mercier-Laurent
Publisher : Springer Nature
ISBN 13 : 3030808475
Total Pages : 262 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Artificial Intelligence for Knowledge Management by : Eunika Mercier-Laurent

Download or read book Artificial Intelligence for Knowledge Management written by Eunika Mercier-Laurent and published by Springer Nature. This book was released on 2021-07-03 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features a selection of extended papers presented at the 8th IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2021, held in Yokohama, Japan, in January 2021, in the framework of the International Joint Conference on Artificial Intelligence, IJCAI 2020.* The 14 revised and extended papers presented together with an invited talk were carefully reviewed and selected for inclusion in this volume. They present new research and innovative aspects in the field of knowledge management and discuss methodological, technical and organizational aspects of artificial intelligence used for knowledge management. *The workshop was held virtually.

Knowledge Processing with Interval and Soft Computing

Author : Chenyi Hu
Publisher : Springer Science & Business Media
ISBN 13 : 1848003269
Total Pages : 233 pages
Book Rating : 4.8/5 (48 download)

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Book Synopsis Knowledge Processing with Interval and Soft Computing by : Chenyi Hu

Download or read book Knowledge Processing with Interval and Soft Computing written by Chenyi Hu and published by Springer Science & Business Media. This book was released on 2009-04-03 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interval computing combined with fuzzy logic has become an emerging tool in studying artificial intelligence and knowledge processing (AIKP) applications since it models uncertainties frequently raised in the field. This book provides introductions for both interval and fuzzy computing in a very accessible style. Application algorithms covered in this book include quantitative and qualitative data mining with interval valued datasets, decision making systems with interval valued parameters, interval valued Nash games and interval weighted graphs. Successful applications in studying finance and economics, etc are also included. This book can serve as a handbook or a text for readers interested in applying interval and soft computing for AIKP.

Artificial Intelligence and Knowledge Management

Author : Akira Hanako
Publisher :
ISBN 13 : 9781682851821
Total Pages : 0 pages
Book Rating : 4.8/5 (518 download)

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Book Synopsis Artificial Intelligence and Knowledge Management by : Akira Hanako

Download or read book Artificial Intelligence and Knowledge Management written by Akira Hanako and published by . This book was released on 2016-05-24 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence and knowledge management have transformed the process of knowledge circulation and database management in different business enterprises and corporate organizations. Some of the significant topics discussed in the chapters of this book are AI planning strategies and tools, AI tools for information processing, data mining, knowledge-based systems, etc. It explores the innovative concepts and advancements in these emerging fields. The book is an invaluable source of knowledge for students and researchers involved in this field at various levels.

Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence

Author : Kamal Kant Hiran
Publisher : Engineering Science Reference
ISBN 13 : 9781668465196
Total Pages : 0 pages
Book Rating : 4.4/5 (651 download)

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Book Synopsis Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence by : Kamal Kant Hiran

Download or read book Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence written by Kamal Kant Hiran and published by Engineering Science Reference. This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Nowadays, Artificial Intelligence is transforming most failed businesses into highly profitable businesses. The major aspect is historical data. With data and Artificial Intelligence and Knowledge Processing, we can find the current financial status of the organization, predict the future of the organization and if the loss has happened in the past consecutive years, we can know the reason behind the loss. With the help of knowledge processing, we can build decision support systems to make better decisions in business. AI-powered IoT creates intelligent technologies that imitate intelligent human behavior and aid in decision-making with little or no human interaction. AI can read, comprehend, and correlate data at breakneck speed, adding a new level of intelligence to blockchain-based business networks. The major research in Semantics, Artificial Intelligence, and Domain-specific applications are becoming more and more common in our daily lives, and the bulk of knowledge processing is becoming intellectual in a very wide sense. Even Artificial Intelligence with IoT and Blockchain found in a broad range of scenarios, from simple everyday tasks to more complex ones, such as transportation systems, business, finance, and even the medical field. Digital news, relationship networking, and advancements generated from expert decision handling are only a few examples of common usage. This research book seeks to give a broad understanding of the concepts, tools, and techniques that underpin data science, artificial intelligence with IoT and Blockchain and knowledge processing in business and industry"--

Knowledge Processing and Data Analysis

Author : Karl Erich Wolff
Publisher : Springer
ISBN 13 : 3642221408
Total Pages : 336 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Knowledge Processing and Data Analysis by : Karl Erich Wolff

Download or read book Knowledge Processing and Data Analysis written by Karl Erich Wolff and published by Springer. This book was released on 2011-07-28 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the First International Conference on Knowledge - Ontology - Theory (KONT 2007) held in Novosibirsk, Russia, in September 2007 and the First International Conference on Knowledge Processing in Practice (KPP 2007) held in Darmstadt, Germany, in September 2007. The 21 revised full papers were carefully reviewed and selected from numerous submissions and cover four main focus areas: applications of conceptual structures; concept based software; ontologies as conceptual structures; and data analysis.

Lifelong Machine Learning, Second Edition

Author : Zhiyuan Sun
Publisher : Springer Nature
ISBN 13 : 3031015819
Total Pages : 187 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Lifelong Machine Learning, Second Edition by : Zhiyuan Sun

Download or read book Lifelong Machine Learning, Second Edition written by Zhiyuan Sun and published by Springer Nature. This book was released on 2022-06-01 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lifelong Machine Learning, Second Edition is an introduction to an advanced machine learning paradigm that continuously learns by accumulating past knowledge that it then uses in future learning and problem solving. In contrast, the current dominant machine learning paradigm learns in isolation: given a training dataset, it runs a machine learning algorithm on the dataset to produce a model that is then used in its intended application. It makes no attempt to retain the learned knowledge and use it in subsequent learning. Unlike this isolated system, humans learn effectively with only a few examples precisely because our learning is very knowledge-driven: the knowledge learned in the past helps us learn new things with little data or effort. Lifelong learning aims to emulate this capability, because without it, an AI system cannot be considered truly intelligent. Research in lifelong learning has developed significantly in the relatively short time since the first edition of this book was published. The purpose of this second edition is to expand the definition of lifelong learning, update the content of several chapters, and add a new chapter about continual learning in deep neural networks—which has been actively researched over the past two or three years. A few chapters have also been reorganized to make each of them more coherent for the reader. Moreover, the authors want to propose a unified framework for the research area. Currently, there are several research topics in machine learning that are closely related to lifelong learning—most notably, multi-task learning, transfer learning, and meta-learning—because they also employ the idea of knowledge sharing and transfer. This book brings all these topics under one roof and discusses their similarities and differences. Its goal is to introduce this emerging machine learning paradigm and present a comprehensive survey and review of the important research results and latest ideas in the area. This book is thus suitable for students, researchers, and practitioners who are interested in machine learning, data mining, natural language processing, or pattern recognition. Lecturers can readily use the book for courses in any of these related fields.

Machine Learning and Artificial Intelligence

Author : A.J. Tallón-Ballesteros
Publisher : IOS Press
ISBN 13 : 1643681370
Total Pages : 482 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis Machine Learning and Artificial Intelligence by : A.J. Tallón-Ballesteros

Download or read book Machine Learning and Artificial Intelligence written by A.J. Tallón-Ballesteros and published by IOS Press. This book was released on 2020-12-15 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning and artificial intelligence are already widely applied to facilitate our daily lives, as well as scientific research, but with the world currently facing a global COVID-19 pandemic, their capacity to provide an important tool to support those searching for a way to combat the novel corona virus has never been more important. This book presents the proceedings of the International Conference on Machine Learning and Intelligent Systems (MLIS 2020), which was due to be held in Seoul, Korea, from 25-28 October 2020, but which was delivered as an online conference on the same dates due to COVID-19 restrictions. MLIS 2020 was the latest in a series of annual conferences that aim to provide a platform for exchanging knowledge about the most recent scientific and technological advances in the field of machine learning and intelligent systems. The annual conference also strengthens links within the scientific community in related research areas. The book contains 53 papers, selected from more than 160 submissions and presented at MLIS 2020. Selection was based on the results of review and scored on: originality, scientific/practical significance, compelling logical reasoning and language. Topics covered include: data mining, image processing, neural networks, human health, natural language processing, video processing, computational intelligence, expert systems, human-computer interaction, deep learning, and robotics. Offering a current overview of research and developments in machine learning and artificial intelligence, the book will be of interest to all those working in the field.

Robot Intelligence

Author : Honghai Liu
Publisher : Springer Science & Business Media
ISBN 13 : 1849963290
Total Pages : 299 pages
Book Rating : 4.8/5 (499 download)

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Book Synopsis Robot Intelligence by : Honghai Liu

Download or read book Robot Intelligence written by Honghai Liu and published by Springer Science & Business Media. This book was released on 2010-08-05 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robot intelligence has become a major focus of intelligent robotics. Recent innovation in computational intelligence including fuzzy learning, neural networks, evolutionary computation and classical Artificial Intelligence provides sufficient theoretical and experimental foundations for enabling robots to undertake a variety of tasks with reasonable performance. This book reflects the recent advances in the field from an advanced knowledge processing perspective; there have been attempts to solve knowledge based information explosion constraints by integrating computational intelligence in the robotics context.

Knowledge Processing and Decision Making in Agent-Based Systems

Author : Lakhmi C Jain
Publisher : Springer Science & Business Media
ISBN 13 : 3540880488
Total Pages : 325 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Knowledge Processing and Decision Making in Agent-Based Systems by : Lakhmi C Jain

Download or read book Knowledge Processing and Decision Making in Agent-Based Systems written by Lakhmi C Jain and published by Springer Science & Business Media. This book was released on 2009-01-17 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge processing and decision making in agent-based systems constitute the key components of intelligent machines. The contributions included in the book are: Innovations in Knowledge Processing and Decision Making in Agent-Based Systems Towards Real-World HTN Planning Agents Mobile Agent-Based System for Distributed Software Maintenance Software Agents in New Generation Networks: Towards the Automation of Telecom Processes Multi-agent Systems and Paraconsistent Knowledge An Agent-based Negotiation Platform for Collaborative Decision-Making in Construction Supply Chain An Event-Driven Algorithm for Agents at the Web A Generic Mobile Agent Framework Toward Ambient Intelligence Developing Actionable Trading Strategies Agent Uncertainty Model and Quantum Mechanics Representation Agent Transportation Layer Adaptation System Software Agents to Enable Service Composition through Negotiation Advanced Technology Towards Developing Decentralized Autonomous Flexible Manufacturing Systems

Artificial Intelligence for Business

Author : Rajendra Akerkar
Publisher : Springer
ISBN 13 : 331997436X
Total Pages : 81 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Artificial Intelligence for Business by : Rajendra Akerkar

Download or read book Artificial Intelligence for Business written by Rajendra Akerkar and published by Springer. This book was released on 2018-08-11 with total page 81 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a practical guide to artificial intelligence (AI) techniques that are used in business. The book does not focus on AI models and algorithms, but instead provides an overview of the most popular and frequently used models in business. This allows the book to easily explain AI paradigms and concepts for business students and executives. Artificial Intelligence for Business is divided into six chapters. Chapter 1 begins with a brief introduction to AI and describes its relationship with machine learning, data science and big data analytics. Chapter 2 presents core machine learning workflow and the most effective machine learning techniques. Chapter 3 deals with deep learning, a popular technique for developing AI applications. Chapter 4 introduces recommendation engines for business and covers how to use them to be more competitive. Chapter 5 features natural language processing (NLP) for sentiment analysis focused on emotions. With the help of sentiment analysis, businesses can understand their customers better to improve their experience, which will help the businesses change their market position. Chapter 6 states potential business prospects of AI and the benefits that companies can realize by implementing AI in their processes.

On Knowledge Base Management Systems

Author : Michael L. Brodie
Publisher : Springer Science & Business Media
ISBN 13 : 1461249805
Total Pages : 650 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis On Knowledge Base Management Systems by : Michael L. Brodie

Download or read book On Knowledge Base Management Systems written by Michael L. Brodie and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt: Current experimental systems in industry, government, and the military take advantage of knowledge-based processing. For example, the Defense Advanced Research Projects Agency (DARPA), and the United States Geological Survey (USGS) are supporting the develop ment of information systems that contain diverse, vast, and growing repositories of data (e.g., vast databases storing geographic informa tion). These systems require powerful reasoning capabilities and pro cessing such as data processing, communications, and multidisciplinary of such systems will scientific analysis. The number and importance grow significantly in the near future. Many of these systems are severely limited by current knowledge base and database systems technology. Currently, knowledge-based system technology lacks the means to provide efficient and robust knowledge bases, while database system technology lacks knowledge representation and reasoning capabilities. The time has come to face the complex research problems that must be solved before we can design and implement real, large scale software systems that depend on knowledge-based processing. To date there has been little research directed at integrating knowledge base and database technologies. It is now imperative that such coordinated research be initiated and that it respond to the urgent need for a tech nology that will enable operational large-scale knowledge-based system applications.

Natural Language Processing and Knowledge Representation

Author : Łucja M. Iwańska
Publisher : AAAI Press
ISBN 13 :
Total Pages : 490 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Natural Language Processing and Knowledge Representation by : Łucja M. Iwańska

Download or read book Natural Language Processing and Knowledge Representation written by Łucja M. Iwańska and published by AAAI Press. This book was released on 2000-06-19 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Traditionally, knowledge representation and reasoning systems have incorporated natural language as interfaces to expert systems or knowledge bases that performed tasks separate from natural language processing. As this book shows, however, the computational nature of representation and inference in natural language makes it the ideal model for all tasks in an intelligent computer system. Natural language processing combines the qualitative characteristics of human knowledge processing with a computer's quantitative advantages, allowing for in-depth, systematic processing of vast amounts of information.