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 describes the following topics: introduction to AI and production systems,
Representation of Knowledge, Knowledge Representation using predicate logic,
Knowledge Inference, Planning and Machine Learning, Expert Systems and Meta
Knowledge.
Author(s): St Anne 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 book covers recent advances of machine learning techniques in a
broad range of applications in smart cities, automated industry, and emerging
businesses.
This note
covers the following topics: Introduction to Artificial Intelligence, State
Space, Representation and Search, Prolog Introduction, Lists, Predicates and
Relations, IO, Arithmetic and Control flow, Recursion with Examples, Games,
Heuristics, Game Playing, Knowledge Representation, Threshold Logic Units and
Artificial Neural networks.
This book explains
the following topics: History of AI, Machine Evolution, Evolutionary
Computation, Components of EC, Genetic Algorithms, Genetic Programming,
Uninformed Search, Search Space Graphs, Depth-First Search, Breadth-First
Search, Iterative Deepening, Heuristic Search, The Propositional Calculus,
Resolution in the Propositional Calculus, The Predicate Calculus, Resolution in
the Predicate Calculus, Reasoning with Uncertain Information, Agent
Architectures.