Introduction to Artificial Intelligence
| dc.contributor.author | Dr.: Gadri, Said | |
| dc.date.accessioned | 2025-12-17T12:51:14Z | |
| dc.date.available | 2025-12-17T12:51:14Z | |
| dc.date.issued | 2025-12-15 | |
| dc.description.abstract | This book offers a comprehensive introduction to Artificial Intelligence, progressing from fundamental concepts to advanced learning paradigms. It begins with an overview of artificial intelligence including its definitions, subfields, and applications, followed by an in-depth presentation of knowledge representation formalisms and expert systems. The book then examines classical and heuristic search strategies which are fundamental to problem solving in intelligent systems. Machine learning and deep learning are subsequently introduced as core techniques enabling systems to learn from data and improve their performance. Through this structured approach, the book provides students and practitioners with the theoretical foundations and practical insights necessary to understand, design, and apply intelligent systems in real-world domains. | |
| dc.identifier.uri | https://repository.univ-msila.dz/handle/123456789/48024 | |
| dc.language.iso | en | |
| dc.publisher | University of M'sila | |
| dc.relation.ispartofseries | 09/2025 | |
| dc.subject | Artificial Intelligence | |
| dc.subject | Knowledge Representation | |
| dc.subject | Expert Systems | |
| dc.subject | Search Strategies | |
| dc.subject | Blinded strategies | |
| dc.subject | Heuristic strategies | |
| dc.subject | Machine Learning | |
| dc.subject | Deep Learning | |
| dc.title | Introduction to Artificial Intelligence | |
| dc.title.alternative | Basic Concepts, Subfields, Applications | |
| dc.type | Preprint |