Lecture Notes On Artificial Intelligence By Dr. Prashanta Kumar Patra
Lecture Notes On Artificial Intelligence By Dr. Prashanta Kumar Patra
Lecture Notes On Artificial Intelligence By Dr. Prashanta Kumar Patra
This book covers the following topics: AI Technique, Level
of the Model,Problem Spaces, and Search: Defining the Problem as a State Space
Search, Production Systems, Problem Characteristics, Production System
Characteristics, Issues in the Design of Search Programs. Heuristic Search
Techniques: Generate-andTest, Hill Climbing, Best-first Search, Problem
Reduction, Constraint Satisfaction, Means-ends, Symbolic Reasoning Under
Uncertainty, Game Playing, Learning: Rote Learning.
This note explains the following topics:
Problem Solving by Search , Knowledge and Reasoning, Planning Classical
Planning, Uncertain knowledge and Learning.
Author(s): Department of CSE, Sri
Indu College of Engineering and Technology
This
lecture note covers topics starting with an introduction to AI and progressing through
various search strategies and A* search. The text delves into challenges such as
searching with partial observations and constraint satisfaction problems,
introducing techniques like Alpha Beta Pruning. It explores reasoning methods
like forward and backward chaining, syntax and semantics of First-Order Logic,
knowledge engineering, resolution, classical planning, and planning with state
space search.it also handles with topics like acting in nondeterministic domains
and multi-agent planning, Bayes Rule, Bayesian Networks and Dempster Shafer
Theory.It includes learning decision trees and the role of knowledge in
learning.
Author(s): Department
of Information Technology , Malla Reddy College Of Engineering and Technology
This PDF covers the following topics related to Artificial Intelligence
and Machine Learning : Introduction to Machine Learning,The Bayesian Approach to Machine Learning, A Revealing
Introduction to Hidden Markov Models, Introduction to Reinforcement Learning,
Deep Learning for Feature Representation, Neural Networks and Deep Learning,
AI-Completeness: The Problem Domain of Super-intelligent Machines.
This PDF covers the following topics related to
Artificial Intelligence and Games : AI Methods, Ways of Using AI
in Games, Playing Games, Generating Content, Modeling Players, Game AI Panorama,
Frontiers of Game AI Research.
Author(s): Georgios
N. Yannakakis, Julian Togelius