Artificial Intelligence Theory For Management
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Artificial Intelligence Theory For Management
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Author : Harry Katzan Jr.
language : en
Publisher: iUniverse
Release Date : 2023-09-13
Artificial Intelligence Theory For Management written by Harry Katzan Jr. and has been published by iUniverse this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-13 with Business & Economics categories.
This is an introductory book about Artificial Intelligence Theory based on Service Science. It is not for AI specialists. It is too simple for them. As unusual as it sounds, there is a very good reason for its existence. There are existing books on the subject that are very good but are very difficult to read. Its that simple. The concepts are complicated and some require complex math. A typical example is the subject of neural networks. A person should know what theory governs the new field of artificial intelligence, because we will be involved if only at the listening level or going into a meeting. Artificial Intelligence is here to stay this time. It’s a third try to bring the subject to the forefront. It is here for the future, and it is here to stay because the world needs it. We are in the midst of war, preparation for defense, a dismal economic outlook, crime, killing, and so forth. We need it because if we continue the way we are going, we won’t be going anywhere for very long. Practically everything is disarray. Just name them: violence, shady politics, global warming, discrimination, abortion, women’s birth problems, men’s cancer. What is the solution? It is twofold. Equitably use the information we have and permit the human race to communicate and act in a reasonable manner. Through Artificial Intelligence, often referred to as AI, we have the key to managing our lives on a daily basis – worldwide. There is a lot going on in the area of AI, as it’s called. Young people all over the place are into it. New software is being developed. There is a generative AI system named ChatGPT developed by a company named OpenAI that has done a good job with new developments. What is a manager to do. A company named IBM is in the field with a system called IBM Watson, that operates out of the cloud is also in the game. In fact, this book can give you some insight into what is going on. It contains three snippets on ChatGPT, IBM Watson, and Data Science that are included at the end of the book. Instead of business and government leaders having to tell us what they are going to do, we can and will be addressing that subject through AI. AI is a systems concept, not a single piece of software you can buy at a local store. Can you imagine a kid telling you they have computers and AI, meaning software apps. You will be able to obtain AI capability but it needs to be blended into the infrastructure to its host organization. A good example is the Watson System developed by IBM. It can, will, and has done wonders with design and analytics, but you probably will need some help in employing the computational infrastructure. There are already competition systems but Watson is mentioned because it beat some Jeopardy! champions at their own game. So, here is what we are providing to you with in this book. A straightforward description of the subject of AI that is easy to read. No more and no less. You can jump into this book at any point and get something out of it. In addition, you will get a quick survey of Service Science. After all, Artificial Intelligence is a service In the best sense of the word. The book is not expensive and something you would enjoy giving to a relative or friend. The book adheres to the author’s principle of no sex, no violence, and no bad language. It is accessible to all readers. This need not be said for a book of this type, but I like saying it.
Decision Theory Models For Applications In Artificial Intelligence Concepts And Solutions
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Author : Sucar, L. Enrique
language : en
Publisher: IGI Global
Release Date : 2011-10-31
Decision Theory Models For Applications In Artificial Intelligence Concepts And Solutions written by Sucar, L. Enrique and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-31 with Computers categories.
One of the goals of artificial intelligence (AI) is creating autonomous agents that must make decisions based on uncertain and incomplete information. The goal is to design rational agents that must take the best action given the information available and their goals. Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions provides an introduction to different types of decision theory techniques, including MDPs, POMDPs, Influence Diagrams, and Reinforcement Learning, and illustrates their application in artificial intelligence. This book provides insights into the advantages and challenges of using decision theory models for developing intelligent systems.
Artificial Intelligence Theory And Applications
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Author : Endre Pap
language : en
Publisher: Springer Nature
Release Date : 2021-07-15
Artificial Intelligence Theory And Applications written by Endre Pap and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-15 with Technology & Engineering categories.
This book is an up-to-date collection, in AI and environmental research, related to the project ATLAS. AI is used for gaining an understanding of complex research phenomena in the environmental sciences, encompassing heterogeneous, noisy, inaccurate, uncertain, diverse spatio-temporal data and processes. The first part of the book covers new mathematics in the field of AI: aggregation functions with special classes such as triangular norms and copulas, pseudo-analysis, and the introduction to fuzzy systems and decision making. Generalizations of the Choquet integral with applications in decision making as CPT are presented. The second part of the book is devoted to AI in the geo-referenced air pollutants and meteorological data, image processing, machine learning, neural networks, swarm intelligence, robotics, mental well-being and data entry errors. The book is intended for researchers in AI and experts in environmental sciences as well as for Ph.D. students.
Parsing The Turing Test
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Author : Robert Epstein
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-11-23
Parsing The Turing Test written by Robert Epstein and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-11-23 with Computers categories.
An exhaustive work that represents a landmark exploration of both the philosophical and methodological issues surrounding the search for true artificial intelligence. Distinguished psychologists, computer scientists, philosophers, and programmers from around the world debate weighty issues such as whether a self-conscious computer would create an internet ‘world mind’. This hugely important volume explores nothing less than the future of the human race itself.
Artificial Intelligence For Business Optimization
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Author : Bhuvan Unhelkar
language : en
Publisher: CRC Press
Release Date : 2021-08-09
Artificial Intelligence For Business Optimization written by Bhuvan Unhelkar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-09 with Business & Economics categories.
This book explains how AI and Machine Learning can be applied to help businesses solve problems, support critical thinking and ultimately create customer value and increase profit. By considering business strategies, business process modeling, quality assurance, cybersecurity, governance and big data and focusing on functions, processes, and people’s behaviors it helps businesses take a truly holistic approach to business optimization. It contains practical examples that make it easy to understand the concepts and apply them. It is written for practitioners (consultants, senior executives, decision-makers) dealing with real-life business problems on a daily basis, who are keen to develop systematic strategies for the application of AI/ML/BD technologies to business automation and optimization, as well as researchers who want to explore the industrial applications of AI and higher-level students.
Artificial Intelligence Theories Models And Applications
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Author : Ilias Maglogiannis
language : en
Publisher: Springer
Release Date : 2012-05-26
Artificial Intelligence Theories Models And Applications written by Ilias Maglogiannis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-05-26 with Computers categories.
This book constitutes the proceedings of the 7th Hellenic Conference on Artificial Intelligence, SETN 2012, held in Lamia, Greece, in May 2012. The 47 contributions included in this volume were carefully reviewed and selected from 81 submissions. They deal with emergent topics of artificial intelligence and come from the SETN main conference as well as from the following special sessions on advancing translational biological research through the incorporation of artificial intelligence methodologies; artificial intelligence in bioinformatics; intelligent annotation of digital content; intelligent, affective, and natural interfaces; and unified multimedia knowledge representation and processing.
Project Management An Artificial Intelligent Ai Approach
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Author : Kim Hin David HO
language : en
Publisher: Partridge Publishing Singapore
Release Date : 2020-08-04
Project Management An Artificial Intelligent Ai Approach written by Kim Hin David HO and has been published by Partridge Publishing Singapore this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-04 with Business & Economics categories.
This book is a novel treatment of modern project management from artificial intelligence (AI), entailing data analytics, neural networks, fuzzy logic, genetic algorithms; and data visualisation deploying agent based modelling for the knowledge based urban development (KBUD). The book can be adopted by design engineers, urban planners, project managers, quantity and real estate surveyors, public and private real estate developers, architects and scholars. Chapter 1 discusses that the traditional statistical method, which needs a priori parametric knowledge of linear or non-linear functions between the input and output variables. Nneural networks do not need such information to predict future possible outcomes. Chapter 2 reiterates that new private office and residential supply like in Hong Kong depend on current market prices, relative to the replacement or building costs. The market should equate prices with replacement costs that include the cost of land. Prices and costs may diverge because of lags and delays in the building process. Chapter 3 discusses the specific tasks to be planned to develop life cycle models and metrics to analyse technology and innovation. Such models can look into life cycle cost analysis (LCA). Chapter 4 draws attention to the trend that in a highly volatile world, the best point estimate of classical DCF model is not a reliable indication of investment worth. The fuzzy discounted cash flow (DCF) model offers a natural and intuitive way, based on a set of fuzzy inputs. The fuzzy net present value (NPV) for an office-cum-retail development is so estimated to provide the approximated evaluation of investment worth. Chapter 5 discusses the fuzzy tactical asset allocation (FTAA) model, incorporating intuitive decision making into the direct real estate project (asset) allocation process, from the expert investor prospective. The FTAA model improves the efficiency of asset allocation, adopting fuzzy set theory and fuzzy optimization theory. Chapter 6 reiterates that today’s city planners see the KBUD strategy as a new form of urban renewal for industrial cities. Planners believe KBUDs bring economic, technological progress and sustainable socio-spatial order to the contemporary city. Chapter 6 addresses the need for an urban design criterion that aids in efficient land use planning for KBUDs.
Intelligent Techniques In Engineering Management
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Author : Cengiz Kahraman
language : en
Publisher: Springer
Release Date : 2015-05-05
Intelligent Techniques In Engineering Management written by Cengiz Kahraman and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-05 with Technology & Engineering categories.
This book presents recently developed intelligent techniques with applications and theory in the area of engineering management. The involved applications of intelligent techniques such as neural networks, fuzzy sets, Tabu search, genetic algorithms, etc. will be useful for engineering managers, postgraduate students, researchers, and lecturers. The book has been written considering the contents of a classical engineering management book but intelligent techniques are used for handling the engineering management problem areas. This comprehensive characteristics of the book makes it an excellent reference for the solution of complex problems of engineering management. The authors of the chapters are well-known researchers with their previous works in the area of engineering management.
Artificial Intelligence And Project Management
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Author : Tadeusz A. Grzeszczyk
language : en
Publisher: Taylor & Francis
Release Date : 2024-05-01
Artificial Intelligence And Project Management written by Tadeusz A. Grzeszczyk and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-01 with Business & Economics categories.
Although some people had doubts about the usefulness of such solutions in the past, artificial intelligence (AI) plays a growing role in modern business. It can be expected that the interest in it will also lead to an increase in support for the planning, evaluation, and implementation of projects. In particular, the proper functioning of multifaceted evaluation methods has a crucial impact on the appropriate planning and execution of various projects, as well as the effective achievement of the organization’s goals. This book offers a presentation of the complex problems and challenges related to the development of AI in project management, proposes an integrated approach to knowledge-based evaluation, and indicates the possibilities of improving professional practical knowledge in this field. The unique contribution of this book is to draw attention to the possibilities resulting from conducting transdisciplinary research and drawing on the rich achievements in the field of research development on knowledge-based systems that can be used to holistically support the processes of planning, evaluation, and project management. The concept of the integrated approach to knowledge-based evaluation is presented and developed as a result of drawing inspiration mainly from the systems approach, generative AI, and selected mathematical models. Presented in a highly accessible manner, the book discusses mathematical tools in a simple way, which enables understanding of the content by readers across broad subject areas who may be not only participants in specialist training and university students but also practitioners, consultants, or evaluators. This book will be a valuable resource for academics and upper-level students, in particular, across project management-related fields, and of great interest to all those looking to understand the challenges and effectiveness of AI in business.
Artificial Intelligence Theories Models And Applications
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Author : John Darzentas
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-09-19
Artificial Intelligence Theories Models And Applications written by John Darzentas and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-19 with Computers categories.
This book constitutes the refereed proceedings of the 5th Hellenic Conference on Artificial Intelligence, SETN 2008, held at Syros, Greece in October 2008. The 27 revised full papers together with 17 revised short papers were carefully reviewed and selected from 76 submissions. The papers address any area of artificial intelligence; particular fields of interest include: Adaptive Systems, AI and Creativity, AI rchitectures, Artificial Life,Autonomous Systems, Data Mining and Knowledge Discovery, Hybrid Intelligent Systems & Methods, Intelligent Agents, Multi-agent Systems, Intelligent Distributed Systems, Intelligent Information Retrieval, Intelligent/Natural Interactivity, Intelligent Virtual Environments, Knowledge Representation and Reasoning, Logic Programming, Knowledge-Based Systems, Machine Learning, Neural Nets, Genetic Algorithms, Natural Language Processing, Planning and Scheduling, Problem Solving, Constraint Satisfaction, Robotics, Machine Vision, Machine Sensing.