Computer Science BooksArtificial Intelligence Books

Artificial Intelligence by Professor Yun Peng

Advertisement

Artificial Intelligence by Professor Yun Peng

Artificial Intelligence by Professor Yun Peng

This note is designed as a broad rather than in-depth introduction to the principles of artificial intelligence, its characteristics, major techniques, and important sub-fields and applications.

Author(s):

sNA Pages

Advertisement

Advertisement

Similar Books
Artificial Intelligence Techniques Notes

Artificial Intelligence Techniques Notes

This note provides a general introduction to artificial intelligence and its techniques. Topics covered includes: Biological Intelligence and Neural Networks, Building Intelligent Agents, Semantic Networks, Production Systems, Uninformed Search, Expert Systems, Machine Learning, Limitations and Misconceptions of AI.

sNA Pages
Artificial Intelligence by IIT Kharagpur

Artificial Intelligence by IIT Kharagpur

This lecture note covers the following topics: Introduction to Agent, Problem Solving using Search, State Space Search, Pegs and Disks problem, Uninformed Search , Single agent search, Informed Search Strategies, Two agent, Constraint satisfaction problems, Knowledge Representation and Logic, First Order Logic, Rule based Systems, Other representation formalisms, Planning, Reasoning with Uncertainty - Probabilistic reasoning, Reasoning with uncertainty-Fuzzy Reasoning.

sNA Pages
Artificial Intelligence Lecture Notes

Artificial Intelligence Lecture Notes

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.

sNA Pages
Artificial Intelligence Lecture Notes Yanqing Zhang

Artificial Intelligence Lecture Notes Yanqing Zhang

This note covers the following topics: Intelligent Agents, Solving Problems by Searching, Informed Search and Exploration, Adversarial Search, Logical Agents, Uncertainty, Fuzzy Sets , Probabilistic Reasoning, Genetic Algorithms.

sNA Pages
C++ Neural Networks and Fuzzy Logic (V.B. Rao)

C++ Neural Networks and Fuzzy Logic (V.B. Rao)

This book explains the theory of neural networks and provides illustrative examples in C++ that the reader can use as a basis for further experimentation.

s454 Pages
Introduction to Machine Learning (N. Nilsson)

Introduction to Machine Learning (N. Nilsson)

This note covers the following topics: Preliminaries, Boolean Functions, Using Version Spaces for Learning, Statistical Learning, Decision Trees, Inductive Logic Programming , Computational Learning Theory, Unsupervised Learning, Temporal-Difference Learning, Delayed-Reinforcement Learning.

sNA Pages
Introduction to Machine Learning

Introduction to Machine Learning

Currently this section contains no detailed description for the page, will update this page soon.

s Pages
Artificial Intelligence I (W. Jones)

Artificial Intelligence I (W. Jones)

Currently this section contains no detailed description for the page, will update this page soon.

s Pages