The opening chapters set the stage by defining what intelligence actually is—both biological and mechanical. Padhy explores the history of AI, from the Turing Test to the Dartmouth Conference, and categorizes AI into Weak AI (Narrow AI) and Strong AI (General AI). This historical context is crucial for students to understand why certain technologies exist today.
The publisher sells an version directly. You can purchase a single-user license. Often, during academic sales, the price is reduced significantly compared to the physical book. The opening chapters set the stage by defining
Artificial Intelligence (AI) and Intelligent Systems by N.P. Padhy remains a cornerstone textbook for students and professionals seeking a comprehensive understanding of the field. This guide explores the core concepts of the book and why it is a must-read for anyone diving into AI. The publisher sells an version directly
This is perhaps the most critical section for any aspiring AI engineer. Before a machine can "learn," it must know how to solve problems. The book provides an exhaustive study of: Artificial Intelligence (AI) and Intelligent Systems by N
– Detailed study of reasoning, acquisition issues, and logical frameworks like predicate logic. Chapter 3 & 4: Search Techniques