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Summary:

This textbook covers the broader field of artificial intelligence. The chapters for this textbook span within three categories: Deductive reasoning methods: These methods start with pre-defined hypotheses and reason with them in order to arrive at logically sound conclusions. The underlying methods include search and logic-based methods. These methods are discussed in Chapters 1through 5. Inductive Learning Methods: These methods start with examples and use statistical methods in order to arrive at hypotheses. Examples include regression modeling, support vector machines, neural networks, reinforcement learning, unsupervised learning, and probabilistic graphical models. These methods are discussed in Chapters̃6 through 11. Integrating Reasoning and Learning: Chapters̃11 and 12 discuss techniques for integrating reasoning and learning. Examples include the use of knowledge graphs and neuro-symbolic artificial intelligence. The primary audience for this textbook are professors and advanced-level students in computer science. It is also possible to use this textbook for the mathematics requirements for an undergraduate data science course. Professionals working in this related field many also find this textbook useful as a reference.

Table of Contents:

• 1 An Introduction to Artificial Intelligence
• 2 Searching State Spaces
• 3 Multiagent Search
• 4 Propositional Logic
• 5 First-Order Logic
• 6 Machine Learning: The Inductive View
• 7 Neural Networks
• 8 Domain-Specific Neural Architectures
• 9 Unsupervised Learning
• 10 Reinforcement Learning
• 11 Probabilistic Graphical Models
• 12 Knowledge Graphs
• 13 Integrating Reasoning and Learning.

Author/Creator:

Aggarwal, Charu C. , author

Languages:

English

Language Notes:

Item content: English

Main Work:

Artificial Intelligence: A Textbook [by Aggarwal, C.C.]

Subjects:

Artificial intelligence

Machine learning

Data mining

Physical Description:

XX, 483 pages 173 illustrations, 15 illustrations in color : online resource.

Digital Characteristics:

text file

Call Numbers:

Q335 .A343 2021eb

ISBNs:

9783030723576
9788303072351 (6)

Other Standard Numbers:

Digital Object Identifier: 10.1007/978-3-030-72357-6

OCLC Numbers:

1268574244