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 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
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 note will provide
an introduction to the field of Artificial Intelligence. It will cover a number
of AI ideas and techniques, as well as give you a brief introduction to symbolic
computing.
This course note
covers major topics of AI, including Search, Logic and Knowledge Representation,
and Natural Language Processing, with brief coverage of the Brain and Machine
Vision.
This
book is for both professional programmers and home hobbyists who already
know how to program in Java and who want to learn practical Artificial
Intelligence (AI) programming and information processing techniques. Topics
covered includes: Search, Reasoning, Semantic Web, Expert Systems, Genetic
Algorithms, Neural Networks, Machine Learning with Weka, Statistical Natural
Language Processing.