Practicals: Tic Tac Toe Game | Neural Network using Python

UNIT I

Introduction to AI

• Brief introduction about Intelligent agents and Problem Solving. 
• Turing Test
• Uninformed Search Strategies, 
• Informed Search Strategies, Heuristics. 
• Solving problems by searching, BFS, DFS, 
• Issues in design of Intelligent Search Algorithms.

UNIT II 

Knowledge Representation: 

• Knowledge Representation using predicate logic, 
• Rule Based Systems, 
• Ontology, 
• WordNet and Concept Net as Knowledge representation tools. 
• Programming with Python/Java. 
• Text Feature Extraction - BoW Model, TF-IDF. 
• Word Embeddings - Word2Vec,GloVe, stemming , lemmatization

UNIT III 

Decision Making in Uncertainty: 

• Handling Uncertainty, 
• Probabilistic Reasoning, 
• Fuzzy Logic,
• Learning by induction
• Introduction to Neural Network 
• Genetic Algorithms basics. 
• Rough Sets.
• Case Studies of Applications of Uncertainty

UNIT IV 

Real World Applications of AI: 

• Expert System Architecture,
• Case Studies: MYCIN, 
• Applications in NLP, Medical Sciences, Agriculture, Education, Social Network Analysis, 
• Information Retrieval from Search Engines and Metasearch Engines, 
• IoT Applications & Big Data Analytics Applications, 
• Ethics in AI -Model Transparency (Interpretability and Explainable AI), 
• Discrimination & Fairness Studies.