Artificial Intelligence Glossarium 1000 Terms

Dear reader!Your attention is invited to a unique book!A modern glossary of over 1000 popular terms and definitions for artificial intelligence.This book is also unique in that it was written by practicing experts who worked together on the Program of the Center for Artificial Intelligence of the Bauman Moscow State Technical University.This text was previously published as part of the book «Glossary on artificial intelligence: 2500 terms» (Russian and English versions of the book).

Dear reader!Your attention is invited to a unique book!This is the result of many years of experience of the author in the field of information technology. This text, among other things, contains the hottest terms not only from other books of the author: «Glossary of Artificial Intelligence and Information Technology», «Glossary of the Digital Economy», «Glossary of Digital Health» and other books of the author, but also many terms on the theme of the Fourth industrial revolution.

"Advances in artificial intelligence (AI) have resulted in a proliferation of new terms, often making it difficult for scientists and researchers to read the literature in the field and communicate with AI professionals. This useful dictionary ends the confusion by clearly defining both terms and concepts used in AI. It features more AI definitions than any other dictionary currently available, along with over 5,000 references to other literature sources for more in-depth research. Detailed, alphabetically arranged entries cover practical applications and provide comparisons with other terms. Multiple definitions are provided for many terms, to give a thorough sense of the terms' various meanings. Concrete examples throughout put the terms in a practical context. Extensive coverage of expert systems includes an appendix of commonly used expert system shells. Among the new areas of artificial intelligence addressed are genetic algorithms, neural networks, intelligent databases, object-oriented programming, and case-based reasoning. Terms from AI languages such as LISP, PROLOG, C++, and Smalltalk are also defined. Encompassing the entire field of artificial intelligence, the Dictionary familiarizes you with terms related to: Problem solving; Pattern matching; Pattern recognition; Logic programming; Game playing; Automatic programming; Speech recognition; Intelligent computer-aided instruction; Natural language processing; Knowledge representation; Hypertext. Both novices and experts will improve their technical understanding of artificial intelligence by having the Dictionary close at hand. It will be a valuable reference source for knowledge engineers, computer programmers, engineers, business professionals, psychologists, and others who need to keep up with the field of artificial intelligence." -- From the back cover.

A compilation of over 4,000 terms and their definitions relevant to artificial intelligence and robotics. Keeping in mind newcomers and more experienced business people in the field, it includes multiple and alternative meanings, abbreviations, acronyms, and foreign expressions. Supplies both general and specialized entries. Cites the relationship between robotics, AI, and computer control terms where applicable. Groups entries containing mutual concepts together alphabetically, by their common term. Identifies archaic terms and their preferred alternative. Useful for increasing clarity, exactness, and stabilizing the most current terminology.

First Published in 1998. Artificial intelligence is increasingly employed in all areas of human endeavor and industry. Anticipating the needs of professionals, researchers, and students alike, International Dictionary of Artificial Intelligence defines and illustrates over 2,500 terms and provides detailed explanations of major concepts as well as topics in related disciplines. The Dictionary also contains an annotated bibliography and an extensive appendix of World Wide Web sites devoted to the latest trends and developments in the world of artificial intelligence.

Artificial Intelligence, commonly referred to as AI, is a branch of computer science that focuses on the development of intelligent machines that can perform tasks that typically require human intelligence. These tasks include learning, reasoning, problem-solving, perception, and language understanding. AI systems are designed to emulate human cognitive abilities, enabling them to analyze vast amounts of data, recognize patterns, and make informed decisions or predictions. At its core, AI aims to develop machines that can think and act like humans, exhibiting traits such as creativity, adaptability, and self-learning. This field has witnessed tremendous advancements over the years, allowing AI systems to surpass human capabilities in various domains. From voice assistants like Siri and Alexa to self-driving cars, AI has become an integral part of our daily lives, revolutionizing industries across the board. There are two types of AI: Narrow AI and General AI. Narrow AI, also known as weak AI, is designed to perform specific tasks within a limited scope. These systems excel in their designated domain, like playing chess or diagnosing diseases. On the other hand, General AI, also known as strong AI or human-level AI, aims to possess the same level of intelligence as humans across various domains. However, achieving General AI is still a work in progress and remains a subject of ongoing research. AI relies on various techniques and methodologies to achieve its goals. Machine Learning (ML) is one such technique that empowers AI systems to learn from data and improve their performance over time without explicit programming. Deep Learning, a subset of ML, utilizes artificial neural networks to process vast amounts of data and extract meaningful patterns or features. Natural Language Processing (NLP) enables machines to understand and communicate in human language, bridging the gap between humans and machines. As AI continues to evolve, it brings with it a host of opportunities and challenges. While it holds the potential to automate mundane tasks, enhance productivity, and revolutionize industries, it also raises concerns about job displacement, data privacy, and ethical considerations. It is essential to strike a balance between leveraging AI's capabilities and addressing these concerns to ensure its responsible and beneficial integration into society. In conclusion, Artificial Intelligence is a dynamic field that aims to develop intelligent machines capable of emulating human intelligence. From narrow AI systems that excel in specific tasks to the pursuit of General AI, AI has become an integral part of our lives, transforming industries and paving the way for a future with intelligent machines. Understanding the fundamental concepts and terminology of AI is crucial for anyone seeking to navigate this rapidly evolving field.