Introduction to Artificial Intelligence /
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...
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| Other Authors: | , |
| Format: | Book |
| Language: | English |
| Published: |
Wiesbaden, Germany :
Springer,
2025
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| Edition: | Third edition |
| Series: | Undergraduate topics in computer science
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| Subjects: | |
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| 100 | 1 | |a Ertel, Wolfgang, |e author | |
| 245 | 1 | 0 | |a Introduction to Artificial Intelligence / |c Wolfgang Ertel ; Translated by Nathanael T. Black With illustrations by Florian Mast |
| 250 | |a Third edition | ||
| 264 | 1 | |a Wiesbaden, Germany : |b Springer, |c 2025 | |
| 264 | 4 | |c ©2025 | |
| 300 | |a xv, 383 pages : |b illustrations ; |c 24 cm. | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 490 | 1 | |a Undergraduate topics in computer science | |
| 504 | |a Includes bibliographical references and index | ||
| 520 | |a 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, reasoning under uncertainty, machine learning, neural networks, and reinforcement learning. Fully revised and updated, this much-anticipated third edition also includes new material on deep learning. | ||
| 650 | 0 | |a Artificial intelligence | |
| 700 | 1 | |a Black, Nathanael T., |e translator | |
| 700 | 1 | |a Mast, Florian, |e illustrator | |
| 830 | 0 | |a Undergraduate topics in computer science | |
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