Название: Artificial Intelligence: Beyond Classical AI
Автор: Rееmа Тhаrеjа
Издательство: Pearson
Год: 2024
Страниц: 881
Язык: английский
Формат: epub
Размер: 20.9 MB

Pearson’s Artificial Intelligence encompasses a comprehensive text on the fundamental principles and concepts of Artificial Intelligence—a new-age technology that fuels the much-coveted ‘Industry 4.0’. Presented in lucid English, this book covers all the basic concepts, enriched with latest examples. It also discusses all the major components of AI, such as Neural Networks, Natural Language Processing, Reinforcement Learning, Machine Learning, Deep Learning and Computer Vision. The book is a deliberation of classical as well modern AI techniques and related technologies that provides readers with an overall knowledge and understanding of AI in present-day context. Few languages that are popularly used to code AI applications are R, Python and Java. From a layman’s view, artificial intelligence (AI), simply means the intelligence demonstrated by machines that help them to mimic the actions of humans. AI simulates natural intelligence in machines that are programmed to learn from experiences, adjust to new inputs and perform human-like tasks. From a researcher’s view, AI is a set of algorithms that generates results without having to be explicitly instructed to do so, thereby making machines capable of thinking and acting rationally and humanely. Most AI examples, from chess-playing computers to self-driving cars, heavily depend on Deep Learning and natural language processing (NLP) techniques. Majority of AI systems are supported by breakthroughs in Machine Learning and Deep Learning techniques. These techniques together go hand-in-hand to deliver an efficient system that sometimes it is just difficult to understand the difference between Artificial Intelligence (AI), Machine Learning and Deep Learning. Book focusses on practical implementation of key algorithms using Python programming language that help students gain hands-on experience

Название: Prolog: The Next 50 Years
Автор: David S. Warren, Veronica Dahl, Thomas Eiter
Издательство: Springer
Серия: Lecture Notes in Computer Science Book
Год: 2023
Страниц: 399
Язык: английский
Формат: pdf (true)
Размер: 25.1 MB

This volume was motivated by the Year of Prolog initiative, launched to celebrate the 50th anniversary of the emergence of Prolog through the work of Alain Colmerauer’s team in Marseille. The volume editors, authors, and scientific advisors and reviewers have been the leading researchers and programmers in this field over decades, and the book represents an excellent overview of the field, its successes, and its future. Prolog is a logical language for making true statements about a world, whose statements can be interpreted as a program and thus evaluated to conclude an answer to a question. Functional programs are understood as defining functions whereas Prolog programs are generally understood as defining relations. Dynamic Logic Programming (DLP) is an extension to logic programming designed to support the representation of knowledge about dynamic worlds. It combines the strengths of safe, stratified, side-effect-free logic programming in defining relations with the power of simultaneous transition rules for defining dynamic operations.

Название: Techniques for Searching, Parsing, and Matching
Автор: Alberto Pettorossi
Издательство: Springer
Год: 2022
Страниц: 314
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

In this book the author presents some techniques for exploring trees and graphs. He illustrates the linear search technique and the backtracking technique, and as instances of tree exploration methods he presents various algorithms for parsing subclasses of context-free languages. He also illustrates some tree and graph exploration and manipulation methods by presenting, among others, algorithms for visiting trees, evaluating Boolean expressions, proving propositional formulas, computing paths in graphs, and performing string matching. This book has been used for advanced undergraduate and graduate courses on automata and formal languages, and assumes some prior exposure to the basic notions in that area. Sample programs are presented in Java and Prolog.

Название: Алгоритмы искусственного интеллекта на языке Prolog
Автор: Братко И.
Издательство: Вильямс
Год: 2004
Страниц: 641
Формат: pdf
Размер: 217 mb
Качество: хорошее

В книге известного специалиста по программированию приведены основные сведения о языке Prolog, описан процесс разработки программ на этом языке и показано применение языка Prolog во многих областях искусственного интеллекта, включая решение задач и эвристический поиск, программирование в ограничениях, представление знаний и экспертные системы, планирование, машинное обучение, качественные рассуждения, обработка текста на различных языках и ведение игр.
Книга предназначена для тех, кто проходит обучение в области языка Prolog и искусственного интеллекта или интересуется этими перспективными направлениями. От читателя не требуется наличие знаний в области искусственного интеллекта. Не обязательна также значительная подготовка в области программирования.