: Focuses on solving engineering problems using contemporary AI techniques.
If you are looking for this for a university course, check your university library or legal academic resources like Google Books (for a preview) or IEEE Xplore (if your institution has access). It remains one of the best texts for understanding the foundational logic of AI before diving into modern Deep Learning. : Focuses on solving engineering problems using contemporary
Traces the evolution from early symbolic AI to modern data-driven paradigms. Traces the evolution from early symbolic AI to
N.P. Padhy’s "Artificial Intelligence and Intelligent Systems" outlines foundational approaches to AI, featuring expert systems, fuzzy logic, swarm intelligence, and genetic algorithms for complex problem-solving. These theoretical models can be applied to real-world scenarios, such as managing power grid crises through decentralized, adaptive, and intelligent decision-making systems. Explore the text on Oxford University Press . These theoretical models can be applied to real-world