Artificial Intelligence Simplified

Artificial Intelligence Simplified
Author: Binto George,Gail Carmicahel
Publsiher: CSTRENDS LLP
Total Pages: 135
Release: 2020-01-31
ISBN: 1944708049
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence Simplified Book Excerpt:

The book introduces key Artificial Intelligence (AI) concepts in an easy-to-read format with examples and illustrations. Someone with basic knowledge in Computer Science can have a quick overview of AI heuristic searches, genetic algorithms, expert systems, game trees, fuzzy expert systems, natural language processing, superintelligence, etc. with everyday examples. The second edition includes more in-depth technical content and covers recent topics in AI.

Demystifying Artificial intelligence

Demystifying Artificial intelligence
Author: Prashant Kikani
Publsiher: BPB Publications
Total Pages: 135
Release: 2021-01-05
ISBN: 9389898706
Category: Computers
Language: EN, FR, DE, ES & NL

Demystifying Artificial intelligence Book Excerpt:

Learn AI & Machine Learning from the first principles. KEY FEATURES ● Explore how different industries are using AI and ML for diverse use-cases. ● Learn core concepts of Data Science, Machine Learning, Deep Learning and NLP in an easy and intuitive manner. ● Cutting-edge coverage on use of ML for business products and services. ● Explore how different companies are monetizing AI and ML technologies. ● Learn how you can start your own journey in the AI field from scratch. DESCRIPTION AI and machine learning (ML) are probably the most fascinating technologies of the 21st century. AI is literally in every industry now. From medical to climate change, education to sport, finance to entertainment, AI is disrupting every industry as we know. So, the basic knowledge of AI/ML becomes mandatory for everyone. This book is your first step to start the journey in this field. Along with basic concepts of fields, like machine learning, deep learning and NLP, we will also explore how big companies are using these technologies to deliver greater user experience and earning millions of dollars in profit. Also, we will see how the owners of small- or medium-sized businesses can leverage and integrate these technologies with their products and services. Leveraging AI and ML can become that competitive moat which can differentiate the product from others. In this book, you will learn the root concepts of AI/ML and how these inanimate machines can actually become smarter than the humans at a few tasks, and how companies are using AI and how you can leverage AI to earn profits. WHAT YOU WILL LEARN ● Core concepts of data science, machine learning, deep learning and NLP in simple and intuitive words. ● How you can leverage and integrate AI technologies in your business to differentiate your product in the market. ● The limitations of traditional non-tech businesses and how AI can bridge those gaps to increase revenues and decrease costs. ● How AI can help companies in launching new products, improving existing ones and automating mundane processes. ● Explore how big tech companies are using AI to automate different tasks and providing unique product experiences to their users. WHO THIS BOOK IS FOR This book is for anyone who is curious about this fascinating technology and how it really works at its core. It is also beneficial to those who want to start their career in AI/ ML. TABLE OF CONTENTS 1. Introduction 2. Going deeper in ML concepts 3. Business perspective of AI 4. How to get started and pitfalls to avoid

Artificial Intelligence

Artificial Intelligence
Author: Christian Farsley
Publsiher: Self Publisher
Total Pages: 135
Release: 2020-04-10
ISBN: 8835805694
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Artificial Intelligence Book Excerpt:

In this comprehensive guide, you'll learn the basics about: - The applications we have in AI. - How AI can be a threat and an opportunity. - The historical context of AI. - The effects AI can have on the future. - How AI is applied in marketing. - What big data and neural networks are. - Generation Z and the uses of AI. And a lot more. Don't wait and give yourself this knowledge by getting the book.

Artificial Intelligence Simplified

Artificial Intelligence Simplified
Author: Binto George,Gail Carmichael
Publsiher: CSTrends LLP
Total Pages: 138
Release: 2016-01-08
ISBN: 1944708022
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence Simplified Book Excerpt:

The book introduces key Artificial Intelligence (AI) concepts in an easy-to-read format with examples and illustrations. A complex, long, overly mathematical textbook does not always serve the purpose of conveying the basic AI concepts to most people. Someone with basic knowledge in Computer Science can have a quick overview of AI (heuristic searches, genetic algorithms, expert systems, game trees, fuzzy expert systems, natural language processing, super intelligence, etc.) with everyday examples. If you are taking a basic AI course and find the traditional AI textbooks intimidating, you may choose this as a “bridge” book, or as an introductory textbook. For students, there is a lower priced edition (ISBN 978-1944708016) of the same book. Published by CSTrends LLP.

Artificial Intelligence for All

Artificial Intelligence for All
Author: Utpal Chakraborty
Publsiher: BPB Publications
Total Pages: 150
Release: 2020-02-18
ISBN: 9389328500
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence for All Book Excerpt:

Artificial Intelligence, the Revolutionary Transformation that no one can escape DESCRIPTION The book ‘Artificial Intelligence for All’ is a snapshot of AI applications in different industries, society, and everyday life. The book is written considering possibilities AI can bring in the Indian context and considering Indian industries and economy at the center stage. The book starts with describing the race for the supremacy of different countries in the field of Artificial Intelligence that has already taken a great momentum and how AI has managed to influence even mainstream politics and the world leaders. In the subsequent chapters, the book brings in AI applications primarily in the Banking and Finance sectors like Financial Crime detection using AI, Credit Risk Assessment, AI-powered conversational banking, Predictive Analytics, and recommendations in Banking and Finance. In few of the chapters, it goes deep into Machine Learning, Deep Learning, Neural Network and analogy with the human brain for readers who wants to go deeper into the subject, at the same time the content and explanations remain very simple for non-technical readers. How AI is powering the self-driving autonomous vehicles and its implication in the society, job, and the world economy, and it’s transforming the world of home automation, will be another area of interest in the book. A full chapter is dedicated for CIOs and CTOs to consider AI top in their priority list. Applications of AI in Sports are going to be interesting for sports lovers as well as professionals working in the Sports and Computer Games domain. The book also gives special emphasis on Conversational AI like Virtual Assistances and ChatBots and their utility in different sectors. A chapter dedicated for healthcare and medicine provides a complete overview of AI applications in the field and how it’s transforming clinical imaging, personalized medicines, drug discovery, and predictions and forecasting health-related events and many more. Cognitive Cyber Security using AI and Machine Learning would be an area of interest for the readers in the field of Cyber Security. The chapter talks about various modern cognitive cybersecurity tools and techniques to fight with the ever-evolving cybercrime space. ‘Journey of a Digital Traveler’ describes how AI is transforming the travel and tourism industry. The book also includes top 100 business use cases which illustrate possible applications in various fields. KEY FEATURES Provides perfect ‘playground’ for enterprises and institutions globally to develop Artificial Intelligence solutions The world has achieved an enormous amount of technological advancement and skyrocketing progress in mass Digitization, Data Science, and FinTech The gist of the golden era of AI and FinTech AI-powered autonomous vehicles are undoubtedly the future. Autonomous vehicles are the dawn of a whole new lifestyle Using Artificial Intelligence to redefine their products, processes and strategies Providing banking and financial services to the customers through a variety of digital channels A preliminary guide for enterprises and businesses to revisit their AI strategy WHAT WILL YOU LEARN This book is for both technical and non-technical readers, a cutting edge technology like Artificial Intelligence is simplified for all and a genuine effort has been made to democratize it as much as possible. The book will provide insights into the real applications of AI in different industries like health care and medicine, banking and finance, manufacturing, retail, sports, and many more, including how it’s transforming our life which probably many of us are not even aware of. And most importantly how a country like India can be benefited by embracing this groundbreaking technology and the huge opportunities and economic impact that AI can bring. Also, you will get to know how different countries like USA, CHINA, UK, EUROPE, RUSSIA, including INDIA is already in the race of being AI Superpower; because AI is the future and whoever becomes the leader in AI will become the ruler of the world. WHO THIS BOOK IS FOR This book is useful for AI Professionals, Data Scientists...... The content of the book is for both Technical and Non Technical readers who wants to know the applications of AI in different industries. No prior technical or programming experience is required to understand this book. This book can be used as a hand book for Data Scientist and Business SMEs who are in the process of identifying different use cases of Artificial Intelligence in their respective domains. TABLE OF CONTENTS 1. Super Powers of AI – The Leaders and the Contenders 2. AI – The Core Fabric for NextGen Banking 3. How an AI Framework can be a Game-Changer in Your AI Journey 4. Artificial Neural Networks 5. The Next Wave of Automation will Transform our Living Experience 6. Self-Driving Cars – Socio Economic Impact of Autonomous Vehicles 7. How Artificial Intelligence is Transforming the BFSI Sector 43 8. AI Now is a Race Among Startups and Tech Giants 9. AI in the top of priorities for CIOs and CTOs 10. AI in Sports 11. How a Country can be Transformed Using Artificial Intelligence 12. Don’t Underestimate the Power of an AI Chatbot 13. Industry Adoption of Cognitive and Artificial Intelligence 14. Artificial Intelligence – The Biggest Disruptor in the BFSI Industry 15. AI in Healthcare 16. AI in Cyber Security – Cognitive Cyber Defense 17. Be Aware of Cyber Threat 18. AI Revolution in India – National Strategy for AI 19. AI in Tour and Travels – Journey of a Digital Traveler 20. Top 100 Business Use Cases of Artificial Intelligence 21. T Impact of Modern Automation on Employment

Summary of Erik J Larson s The Myth of Artificial Intelligence

Summary of Erik J  Larson s The Myth of Artificial Intelligence
Author: Everest Media,
Publsiher: Everest Media LLC
Total Pages: 26
Release: 2022-06-09T22:59:00Z
ISBN: 1928374650XXX
Category: Computers
Language: EN, FR, DE, ES & NL

Summary of Erik J Larson s The Myth of Artificial Intelligence Book Excerpt:

Please note: This is a companion version & not the original book. Sample Book Insights: #1 The story of artificial intelligence begins with the ideas of computer pioneer Alan Turing. In 1950, he published a paper titled Computing Machinery and Intelligence, which argued that any computer that could hold a conversation with a human would be doing something that requires thinking. #2 Turing had made his reputation as a mathematician long before he began writing about artificial intelligence. In 1936, he published a paper on the precise meaning of computer, which at the time referred to a person working through a sequence of steps to get a definite result. #3 The idea that the mind’s intuition, its ability to grasp truth and meaning, is reducible to a machine was raised by Gödel in 1931. He proved that there must exist some statements in any formal system that are True, with capital-T standing, yet not provable in the system itself using any of its rules. #4 The formalist movement in mathematics was a sign of a broader turn by intellectuals toward scientific materialism. They believed that all of mathematics could be converted into rule-based operations, and that the world was turning to the idea of precision machines.

Artificial Intelligence

Artificial Intelligence
Author: Joe Greek
Publsiher: The Rosen Publishing Group, Inc
Total Pages: 48
Release: 2017-12-15
ISBN: 1499438974
Category: Juvenile Nonfiction
Language: EN, FR, DE, ES & NL

Artificial Intelligence Book Excerpt:

For ages, the idea of machines that think and act on their own has gripped scientists, thinkers, and the general public. This book explores the history of artificial intelligence (A.I.), and how science fiction is quickly becoming science fact. It examines the technologies involved in A.I. and its inevitable effects on work, life, health, and many other aspects of human society. Rooted in history and science, this book provides an inside look at a topic that captivates engineers, scientists, and dreamers, but also raises important ethical issues and challenges how we see ourselves and our mechanical and computer creations.

Artificial Intelligence Networking Learning AI Explained for Dummies

Artificial Intelligence Networking  Learning AI Explained for Dummies
Author: Laureano Gallardo
Publsiher: Unknown
Total Pages: 43
Release: 2019-06-14
ISBN: 9781074028008
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Artificial Intelligence Networking Learning AI Explained for Dummies Book Excerpt:

The term Artificial Intelligence represents a set of software, logic, computer and philosophy disciplines that are intended to make PCs perform functions that were thought to be exclusively human, such as perceiving meaning in written language. or spoken, learn, recognize facial expressions, etc. The field of artificial intelligence has a long history behind it, with many previous advances, such as the recognition of optical characters, which are currently considered as something everyday.Artificial intelligence is an attractive concept for many stakeholders in the business, scientific and governmental world. From the economic point of view, it is very attractive that machines can perform tasks for which human intervention was usually required. An effective artificial intelligence solution can "think" faster and process more information than any human brain. Artificial intelligence also has the potential to extend human capabilities to places where people have difficulty reaching, for example, outer space or remote locations on Earth where human skills such as medical knowledge might prove useful.We could define AI as a technological discipline that aims to design and build machines and programs capable of performing complex tasks with expertise equal to or greater than that of a human being. Bearing in mind that those tasks that seem simpler, for example, speaking, seeing, listening, are precisely the most complex tasks to perform.The computer is a powerful tool because of its ability to represent any discrete system of physical symbols. But the ultimate goal is not for this "science" the computer or its programs, but the study of intelligent behavior and, in particular, human behavior.This is the reason why the AI links with so many other sciences. Thus, in the study of human behavior, natural sciences such as neurophysiology and human sciences such as psychology intervene; in the study of learning processes, pedagogy; in other important aspects, such as the recognition of natural language, linguistics; and in the practical realization of the models, the computer science and in all its surroundings.CONTENTS:INTRODUCTION TO AIHISTORICAL EVOLUTION Prehistory of the AI The birth of the AI The difficult years Current developmentPREMISES 1. Just think about big projects 2. Artificial intelligence is only for technological empires 3. Believe that it is a purposeWHAT IS MACHINE LEARNING?WHAT IS DEEP LEARNING?WHO IS DEVELOPING THIS TECHNOLOGY WORLDWIDE?WHY IS IT IMPORTANT FOR GLOBAL DEVELOPMENT?HOW COULD AI AFFECT THE ECONOMY?WHICH SECTORS WORLDWIDE ARE LEADERS IN THE IMPLEMENTATION OF THIS TYPE OF TECHNOLOGY?ADVANTAGES OF ARTIFICIAL INTELLIGENCEDISADVANTAGES OF ARTIFICIAL INTELLIGENCEWHICH COMPANIES ARE LEADERS IN AI?AI AND BIG DATAIS AI DANGEROUS?AI AND MEDICINESUMMARY AI

Artificial Intelligence in Education

Artificial Intelligence in Education
Author: Ig Ibert Bittencourt,Mutlu Cukurova,Kasia Muldner,Rose Luckin,Eva Millán
Publsiher: Springer Nature
Total Pages: 436
Release: 2020-07-04
ISBN: 3030522407
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Education Book Excerpt:

This two-volume set LNAI 12163 and 12164 constitutes the refereed proceedings of the 21th International Conference on Artificial Intelligence in Education, AIED 2020, held in Ifrane, Morocco, in July 2020.* The 49 full papers presented together with 66 short, 4 industry & innovation, 4 doctoral consortium, and 4 workshop papers were carefully reviewed and selected from 214 submissions. The conference provides opportunities for the cross-fertilization of approaches, techniques and ideas from the many fields that comprise AIED, including computer science, cognitive and learning sciences, education, game design, psychology, sociology, linguistics as well as many domain-specific areas. ​*The conference was held virtually due to the COVID-19 pandemic.

Introduction to Artificial Intelligence

Introduction to Artificial Intelligence
Author: Philip C. Jackson
Publsiher: Courier Dover Publications
Total Pages: 544
Release: 2019-08-14
ISBN: 0486843076
Category: Computers
Language: EN, FR, DE, ES & NL

Introduction to Artificial Intelligence Book Excerpt:

Can computers think? Updated edition, ideal for lay readers and students of computer science, offers well-illustrated, easy-to-read discussions of problem-solving methods and representations, game playing, neural networks, more. 2019 edition.

Artificial Intelligence Simplified

Artificial Intelligence Simplified
Author: Binto George,Gail Carmichael
Publsiher: Unknown
Total Pages: 135
Release: 2016-01-15
ISBN: 9781944708016
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Artificial Intelligence Simplified Book Excerpt:

Beginners Artificial Intelligence and Python Programming

Beginners  Artificial Intelligence and Python Programming
Author: Olubayo Adekanmbi
Publsiher: eBookIt.com
Total Pages: 150
Release: 2020-11-20
ISBN: 0998401420
Category: Computers
Language: EN, FR, DE, ES & NL

Beginners Artificial Intelligence and Python Programming Book Excerpt:

The book demystifies the concept of Artificial Intelligence (AI) in a friendly manner to kids, with the goal of stimulating their curiosity and driving their interest in learning about AI. After the generic introductions to the core concepts like machine learning, deep learning and reinforcement learning, the students are guided into step-by-step programming with Python. The intention is to transit beyond the traditional code-first approach to understanding broad concepts that will sufficiently motivate a desire to learn coding. The book is useful for students in Grades 4-8 and any adult who wants to learn the fundamental principles in a fun-filled and exciting way.

Advanced Methodologies and Technologies in Artificial Intelligence Computer Simulation and Human Computer Interaction

Advanced Methodologies and Technologies in Artificial Intelligence  Computer Simulation  and Human Computer Interaction
Author: Khosrow-Pour, D.B.A., Mehdi
Publsiher: IGI Global
Total Pages: 1221
Release: 2018-09-28
ISBN: 1522573690
Category: Computers
Language: EN, FR, DE, ES & NL

Advanced Methodologies and Technologies in Artificial Intelligence Computer Simulation and Human Computer Interaction Book Excerpt:

As modern technologies continue to develop and evolve, the ability of users to adapt with new systems becomes a paramount concern. Research into new ways for humans to make use of advanced computers and other such technologies through artificial intelligence and computer simulation is necessary to fully realize the potential of tools in the 21st century. Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction provides emerging research in advanced trends in robotics, AI, simulation, and human-computer interaction. Readers will learn about the positive applications of artificial intelligence and human-computer interaction in various disciples such as business and medicine. This book is a valuable resource for IT professionals, researchers, computer scientists, and researchers invested in assistive technologies, artificial intelligence, robotics, and computer simulation.

Risks of Artificial Intelligence

Risks of Artificial Intelligence
Author: Vincent C. Müller
Publsiher: CRC Press
Total Pages: 292
Release: 2016-01-05
ISBN: 1498734839
Category: Computers
Language: EN, FR, DE, ES & NL

Risks of Artificial Intelligence Book Excerpt:

If the intelligence of artificial systems were to surpass that of humans, humanity would face significant risks. The time has come to consider these issues, and this consideration must include progress in artificial intelligence (AI) as much as insights from AI theory. Featuring contributions from leading experts and thinkers in artificial intelligence, Risks of Artificial Intelligence is the first volume of collected chapters dedicated to examining the risks of AI. The book evaluates predictions of the future of AI, proposes ways to ensure that AI systems will be beneficial to humans, and then critically evaluates such proposals. The book covers the latest research on the risks and future impacts of AI. It starts with an introduction to the problem of risk and the future of artificial intelligence, followed by a discussion (Armstrong/Sokala/ÓhÉigeartaigh) on how predictions of its future have fared to date. Omohundro makes the point that even an innocuous artificial agent can easily turn into a serious threat for humans. T. Goertzel explains how to succeed in the design of artificial agents. But will these be a threat for humanity, or a useful tool? Ways to assure beneficial outcomes through ‘machine ethics’ and ‘utility functions’ are discussed by Brundage and Yampolskiy. B. Goertzel and Potapov/Rodionov propose ‘learning’ and ‘empathy’ as paths towards safer AI while Kornai explains how the impact of AI may be bounded. Sandberg explains the implications of human-like AI via the technique of brain emulation. Dewey discusses strategies to deal with the ‘fast takeoff’ of artificial intelligence and, finally, Bishop explains why there is no need to worry because computers will remain in a state of ‘artificial stupidity’. Sharing insights from leading thinkers in artificial intelligence, this book provides you with an expert-level perspective of what is on the horizon for AI, whether it will be a threat for humanity, and how we might counteract this threat.

Scikit learn

Scikit learn
Author: Raúl Garreta,Guillermo Moncecchi,Trent Hauck
Publsiher: Unknown
Total Pages: 1035
Release: 2017-11-10
ISBN: 9781788833479
Category: Computers
Language: EN, FR, DE, ES & NL

Scikit learn Book Excerpt:

Implement scikit-learn into every step of the data science pipelineAbout This Book* Use Python and scikit-learn to create intelligent applications* Discover how to apply algorithms in a variety of situations to tackle common and not-so common challenges in the machine learning domain* A practical, example-based guide to help you gain expertise in implementing and evaluating machine learning systems using scikit-learnWho This Book Is ForIf you are a programmer and want to explore machine learning and data-based methods to build intelligent applications and enhance your programming skills, this is the course for you. No previous experience with machine-learning algorithms is required.What You Will Learn* Review fundamental concepts including supervised and unsupervised experiences, common tasks, and performance metrics* Classify objects (from documents to human faces and flower species) based on some of their features, using a variety of methods from Support Vector Machines to Naive Bayes* Use Decision Trees to explain the main causes of certain phenomena such as passenger survival on the Titanic* Evaluate the performance of machine learning systems in common tasks* Master algorithms of various levels of complexity and learn how to analyze data at the same time* Learn just enough math to think about the connections between various algorithms* Customize machine learning algorithms to fit your problem, and learn how to modify them when the situation calls for it* Incorporate other packages from the Python ecosystem to munge and visualize your dataset* Improve the way you build your models using parallelization techniquesIn DetailMachine learning, the art of creating applications that learn from experience and data, has been around for many years. Python is quickly becoming the go-to language for analysts and data scientists due to its simplicity and flexibility; moreover, within the Python data space, scikit-learn is the unequivocal choice for machine learning. The course combines an introduction to some of the main concepts and methods in machine learning with practical, hands-on examples of real-world problems. The course starts by walking through different methods to prepare your data-be it a dataset with missing values or text columns that require the categories to be turned into indicator variables. After the data is ready, you'll learn different techniques aligned with different objectives-be it a dataset with known outcomes such as sales by state, or more complicated problems such as clustering similar customers. Finally, you'll learn how to polish your algorithm to ensure that it's both accurate and resilient to new datasets. You will learn to incorporate machine learning in your applications. Ranging from handwritten digit recognition to document classification, examples are solved step-by-step using scikit-learn and Python. By the end of this course you will have learned how to build applications that learn from experience, by applying the main concepts and techniques of machine learning.Style and ApproachImplement scikit-learn using engaging examples and fun exercises, and with a gentle and friendly but comprehensive "learn-by-doing" approach. This is a practical course, which analyzes compelling data about life, health, and death with the help of tutorials. It offers you a useful way of interpreting the data that's specific to this course, but that can also be applied to any other data. This course is designed to be both a guide and a reference for moving beyond the basics of scikit-learn.

Democratization of Artificial Intelligence for the Future of Humanity

Democratization of Artificial Intelligence for the Future of Humanity
Author: Chandrasekar Vuppalapati
Publsiher: CRC Press
Total Pages: 372
Release: 2021-01-18
ISBN: 1000219941
Category: Computers
Language: EN, FR, DE, ES & NL

Democratization of Artificial Intelligence for the Future of Humanity Book Excerpt:

Artificial intelligence (AI) stands out as a transformational technology of the digital age. Its practical applications are growing very rapidly. One of the chief reasons AI applications are attaining prominence, is in its design to learn continuously, from real-world use and experience, and its capability to improve its performance. It is no wonder that the applications of AI span from complex high-technology equipment manufacturing to personalized exclusive recommendations to end-users. Many deployments of AI software, given its continuous learning need, require computation platforms that are resource intense, and have sustained connectivity and perpetual power through central electrical grid. In order to harvest the benefits of AI revolution to all of humanity, traditional AI software development paradigms must be upgraded to function effectively in environments that have resource constraints, small form factor computational devices with limited power, devices with intermittent or no connectivity and/or powered by non-perpetual source or battery power. The aim this book is to prepare current and future software engineering teams with the skills and tools to fully utilize AI capabilities in resource-constrained devices. The book introduces essential AI concepts from the perspectives of full-scale software development with emphasis on creating niche Blue Ocean small form factored computational environment products.

Paradigms of Artificial Intelligence Programming

Paradigms of Artificial Intelligence Programming
Author: Peter Norvig
Publsiher: Morgan Kaufmann
Total Pages: 946
Release: 1992
ISBN: 9781558601918
Category: Computers
Language: EN, FR, DE, ES & NL

Paradigms of Artificial Intelligence Programming Book Excerpt:

Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in the context of building major AI systems. By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and professionals how to build and debug robust practical programs, while demonstrating superior programming style and important AI concepts. The author strongly emphasizes the practical performance issues involved in writing real working programs of significant size. Chapters on troubleshooting and efficiency are included, along with a discussion of the fundamentals of object-oriented programming and a description of the main CLOS functions. This volume is an excellent text for a course on AI programming, a useful supplement for general AI courses and an indispensable reference for the professional programmer.

Logic for Programming Artificial Intelligence and Reasoning

Logic for Programming  Artificial Intelligence  and Reasoning
Author: Edmund M. Clarke,Andrei Voronkov
Publsiher: Springer Science & Business Media
Total Pages: 517
Release: 2011-01-04
ISBN: 3642175104
Category: Computers
Language: EN, FR, DE, ES & NL

Logic for Programming Artificial Intelligence and Reasoning Book Excerpt:

This book constitutes the thoroughly refereed post-conference proceedings of the 16th International Conference on Logic for Programming, Artificial Intelligence, and Reasoning, LPAR 2010, which took place in Dakar, Senegal, in April/May 2010. The 27 revised full papers and 9 revised short papers presented together with 1 invited talk were carefully revised and selected from 47 submissions. The papers address all current issues in automated reasoning, computational logic, programming languages and deal with logic programming, logic-based program manipulation, formal methods, and various kinds of AI logics. Subjects covered range from theoretical aspects to various applications such as automata, linear arithmetic, verification, knowledge representation, proof theory, quantified constraints, as well as modal and temporal logics.

Advances in Artificial Intelligence

Advances in Artificial Intelligence
Author: Malek Mouhoub,Philippe Langlais
Publsiher: Springer
Total Pages: 428
Release: 2017-05-06
ISBN: 3319573519
Category: Computers
Language: EN, FR, DE, ES & NL

Advances in Artificial Intelligence Book Excerpt:

This book constitutes the refereed proceedings of the 30th Canadian Conference on Artificial Intelligence, Canadian AI 2017, held in Edmonton, AB, Canada, in May 2017. The 19 regular papers and 24 short papers presented together with 6 Graduate Student Symposium papers were carefully reviewed and selected from 62 submissions. The focus of the conference was on the following subjects: Data Mining and Machine Learning; Planning and Combinatorial Optimization; AI Applications; Natural Language Processing; Uncertainty and Preference Reasoning; and Agent Systems.

Advances in Artificial Intelligence IBERAMIA 2014

Advances in Artificial Intelligence    IBERAMIA 2014
Author: Ana L.C. Bazzan,Karim Pichara
Publsiher: Springer
Total Pages: 807
Release: 2014-11-11
ISBN: 3319120271
Category: Computers
Language: EN, FR, DE, ES & NL

Advances in Artificial Intelligence IBERAMIA 2014 Book Excerpt:

This book constitutes the refereed proceedings of the 14th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2014, held in Santiago de Chile, Chile, in November 2014. The 64 papers presented were carefully reviewed and selected from 136 submissions. The papers are organized in the following topical sections: knowledge engineering, knowledge representation and probabilistic reasoning; planning and scheduling; natural language processing; machine learning; fuzzy systems; knowledge discovery and data mining; bio-inspired computing; robotics; vision; multi-agent systems; agent-based modeling and simulation; AI in education, affective computing, and human-computer interaction; applications of AI; and ambient intelligence.