Written in a clear style that makes it accessible for undergraduate engineering students while remaining deep enough for postgraduates. Focus on Problem Solving:
N.P. Padhy’s Artificial Intelligence and Intelligent Systems (published by Oxford University Press
Exploring the integration of techniques like Fuzzy Logic and Genetic Algorithms into traditional AI frameworks. Key Areas of Focus 1. Problem-Solving and Search Techniques Written in a clear style that makes it
: Prof. Padhy’s research, often applying these AI concepts to power systems and smart grids, can be found on his IIT Roorkee Faculty Profile Google Scholar summary or information on how to apply these techniques to a particular field like power systems?
: Practical applications in medicine, finance, and engineering. Key Areas of Focus 1
If you are serious about AI, buy the paperback (approx INR 650). The ability to flip between the fuzzy logic diagram and the genetic algorithm table is worth the cost. Use the PDF only for quick searching during revision.
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 . featuring expert systems
A critical requirement of any intelligent system is its capacity to internalize real-world facts and infer new knowledge. Padhy allocates significant depth to the formalization of knowledge structures.