Artificial Intelligence : A Textbook /

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...

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Bibliographic Details
Main Author:	Aggarwal, Charu C. (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:	1st ed. 2021.
Subjects:	Artificial intelligence. Machine learning. Data mining. Artificial Intelligence. Machine Learning. Data Mining and Knowledge Discovery. Electronic books.
Online Access:	Connect to the full text of this electronic book

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.