๐”– Scriptorium
โœฆ   LIBER   โœฆ
๐Ÿ“

Introduction to Artificial Intelligence

โœ Scribed by Mariusz Flasiล„ski

Publisher
Springer International Publishing
Year
2016
Tongue
English
Leaves
316
Edition
1st ed.
Category
Library
โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis

In the chapters in Part I of this textbook the author introduces the fundamental ideas of artificial intelligence and computational intelligence. In Part II he explains key AI methods such as search, evolutionary computing, logic-based reasoning, knowledge representation, rule-based systems, pattern recognition, neural networks, and cognitive architectures. Finally, in Part III, he expands the context to discuss theories of intelligence in philosophy and psychology, key applications of AI systems, and the likely future of artificial intelligence. A key feature of the author's approach is historical and biographical footnotes, stressing the multidisciplinary character of the field and its pioneers.

The book is appropriate for advanced undergraduate and graduate courses in computer science, engineering, and other applied sciences, and the appendices offer short formal, mathematical models and notes to support the reader.

โœฆ Table of Contents

Front Matter....Pages i-x
Front Matter....Pages 1-1
History of Artificial Intelligence....Pages 3-13
Symbolic Artificial Intelligence....Pages 15-22
Computational Intelligence....Pages 23-27
Front Matter....Pages 29-29
Search Methods....Pages 31-51
Evolutionary Computing....Pages 53-66
Logic-Based Reasoning....Pages 67-89
Structural Models of Knowledge Representation....Pages 91-101
Syntactic Pattern Analysis....Pages 103-124
Rule-Based Systems....Pages 125-139
Pattern Recognition and Cluster Analysis....Pages 141-156
Neural Networks....Pages 157-174
Reasoning with Imperfect Knowledge....Pages 175-188
Defining Vague Notions in Knowledge-Based Systems....Pages 189-201
Cognitive Architectures....Pages 203-210
Front Matter....Pages 211-211
Theories of Intelligence in Philosophy and Psychology....Pages 213-222
Application Areas of AI Systems....Pages 223-234
Prospects of Artificial Intelligence....Pages 235-245
Back Matter....Pages 247-321

โœฆ Subjects

Computer science;Informatique;Data mining;Exploration de donneฬes (Informatique);Artificial intelligence;Intelligence artificielle;Computational intelligence;Intelligence informatique

๐Ÿ“œ SIMILAR VOLUMES

Introduction to Artificial Intelligence
๐Ÿ“ Introduction to Artificial Intelligence
โœ Wolfgang Ertel (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2011 ๐Ÿ› Springer-Verlag London ๐ŸŒ English

<p><p>The ultimate aim of artificial intelligence (A.I.) is to understand intelligence and to build intelligent software and robots that come close to the performance of humans. On their way towards this goal, A.I. researchers have developed a number of quite different subdisciplines.</p><p>This con

Introduction to Artificial Intelligence
๐Ÿ“ Introduction to Artificial Intelligence
โœ Ertel, Wolfgang ๐Ÿ“‚ Library ๐Ÿ“… 2011 ๐Ÿ› Springer ๐ŸŒ English

ๅ†…ๅฎน็ฎ€ไป‹ ยท ยท ยท ยท ยท ยท This concise and accessible textbook supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. The book presents concrete algorithms and applications in the areas of agents, logic, search, reasoning under uncertainty, machi

Introduction to Artificial Intelligence
๐Ÿ“ Introduction to Artificial Intelligence
โœ Wolfgang Ertel (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2017 ๐Ÿ› Springer International Publishing ๐ŸŒ English

<p><p>This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, sea

Introduction to Artificial Intelligence
๐Ÿ“ Introduction to Artificial Intelligence
โœ Wolfgang Ertel, Nathanael T. Black ๐Ÿ“‚ Library ๐Ÿ“… 2018 ๐Ÿ› Springer ๐ŸŒ English

This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, r