Handling Uncertainty in Artificial Intelligence

Explore the fascinating world of uncertainty in artificial intelligence with Handling Uncertainty in Artificial Intelligence by Jyotismita Chaki. Published by Springer Verlag in 2023, this insightful paperback spans 101 pages and offers a comprehensive overview of various methodologies for managing uncertainty in AI.

Delve into key concepts such as probability and Bayesian theory, Dempster-Shafer theory, certainty factors, evidential reasoning, and fuzzy logic-based approaches. Additionally, the book covers utility theory and expected utility theory, providing readers with real-life examples that illustrate these critical techniques.

This essential resource is perfect for students, researchers, and professionals looking to deepen their understanding of AI and its complexities. Don't miss the opportunity to enhance your knowledge with this first edition, available now at bookshop.lt!