Lecture Notes in Artificial Intelligence 2226 1st edition by Carbonell, Sickmann ISBN 3540666451  978-1234567890

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ISBN 10: 3540666451
ISBN 13: 978-1234567890
Author: Carbonell, Sickmann

The Lecture Notes in Artificial Intelligence series, including the 1711 edition, is typically a collection of academic materials, research, and discussions related to the field of Artificial Intelligence (AI). The series is often used as a resource for students, educators, and researchers involved in AI studies. The focus is on presenting theoretical concepts, practical algorithms, case studies, and applications of AI technologies.

lecture notes in Artificial intelligence 2226 1st Table of contents:

1. introduction to Artificial Intelligence

   • History of AI
   • Applications of AI
   • Types of AI Systems

2. Problem Solving and Search

   • Problem Definition
   • Search Strategies
     • Uninformed Search
     • Informed Search (Heuristic Search)
   • Constraint Satisfaction Problems

3. Knowledge Representation

   • Logical Representation
   • Semantic Networks
   • Frames and Scripts
   • Ontologies

4. Machine Learning

   • Supervised Learning
   • Unsupervised Learning
   • Reinforcement Learning
   • Neural Networks
   • Decision Trees

5. Reasoning and Inference

   • Deductive and Inductive Reasoning
   • Forward and Backward Chaining
   • Probabilistic Reasoning
   • Bayesian Networks

6. Planning and Decision Making

   • Planning Algorithms
   • Decision Trees and Utility Theory
   • Multi-Agent Systems

7. Natural Language Processing

   • Language Models
   • Parsing and Syntax
   • Speech Recognition
   • Machine Translation

8. Robotics and Perception

   • Robot Motion and Control
   • Computer Vision
   • Sensor Networks
   • Object Recognition

9. Ethics and Future of AI

   • Ethical Considerations in AI
   • Bias in AI Systems
   • The Future of AI and its Impacts on Society

Appendix

• Mathematical Foundations for AI
• Important Algorithms
• Glossary of Terms
• Index

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