Charu C. Aggarwal
Artificial Intelligence: A Textbook
Artificial Intelligence: A Textbook
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This textbook covers the broader field of artificial intelligence, with chapters on deductive reasoning methods, inductive learning methods, and integrating reasoning and learning. It is designed for professors and advanced-level students in computer science and mathematics, and professionals working in the related field can also use it as a reference.
Format: Paperback / softback
Length: 483 pages
Publication date: 18 July 2022
Publisher: Springer Nature Switzerland AG
This comprehensive textbook delves into the vast realm of artificial intelligence, encompassing a wide range of topics and methodologies. The chapters within this textbook are organized into three distinct categories: Deductive Reasoning Methods, Inductive Learning Methods, and Integrating Reasoning and Learning.
Deductive Reasoning Methods:
These methods commence with pre-defined hypotheses and employ logical reasoning to arrive at coherent conclusions. The underlying techniques encompass search and logic-based methods, which are extensively discussed in Chapters 1 through 5.
Inductive Learning Methods:
These methods start with examples and employ statistical techniques to generate hypotheses. Examples include regression modeling, support vector machines, neural networks, reinforcement learning, unsupervised learning, and probabilistic graphical models. These methods are explored in Chapters 6 through 11.
Integrating Reasoning and Learning:
Chapters 11 and 12 focus on techniques for integrating reasoning and learning. Examples include the utilization of knowledge graphs and neuro-symbolic artificial intelligence.
The primary target audience for this textbook consists of professors and advanced-level students in the field of computer science. Additionally, this textbook can be utilized for the mathematics requirements of an undergraduate data science course. Professionals working in related fields can also find this textbook valuable as a reference resource.
Weight: 950g
Dimension: 254 x 178 (mm)
ISBN-13: 9783030723590
Edition number: 1st ed. 2021
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