Textbook of Artificial intelligence (CSDT-114B ): M. Sc. Computer science, Sem-1
- 1st ed.
- Pune: Vision Publication, 2019.
- 358 p. : diagrams; 21 cm
Contents
1. Introduction to Artificial Intelligence Introduction and Intelligent System What is AI Foundation of AI The History of Artificial Intelligence Applications of AI Early Works in AI AI and Related Fields AI Problems AI Techniques
2. Searching Introduction Defining AI Problems as a State Space Search Production Systems Search and Control Strategies Problem Characteristics Issues in the Design of Search Programs Blind Search Techniques Breadth-First Search Depth First Search Depth Limited Search Depth First Iterative Deepening Search Uniform Cost Search Heuristic Search Techniques Hill Climbing Best First Search Problem Reduction Constraint Satisfaction Mean- Ends Analysis
3. Knowledge Representation
Introduction Knowledge Representations and Mapping Approaches to Knowledge Representation Propositional Logic Predicate Logic Game Playing The Minimax Search Procedure Adding Alpha Beta Cutoffs
4. Introduction to AI with Python
Introduction to Python Why Python with AI? Basics of Python Basic Datatypes used in Python Python Statements Flow Control Statements Python Functions Python Module Python Packages Python Decorators Python Generators Python Data structure Introduction to OOPs in Python
5. Machine Learning
What is Machine Learning? Why Machine Learning? KNN Random Forest Algorithm K-means for Clustering
6. Reinforcement Learning
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FYMSc Artificial intelligence Computer science Programming languages