2003 Course - K. K. Wagh Education Society
2003 Course - K. K. Wagh Education Society 2003 Course - K. K. Wagh Education Society
Knowledge representation using non monotonic logic: TMS (Truth maintenance system), statistical and probabilistic reasoning, fuzzy logic, structure knowledge representation, semantic net, Frames, Script, Conceptual dependency. 10 Hrs UNIT IV : Learning: What is Learning? Types of Learning (Rote , Direct instruction Analogy, Induction, Deduction) Planning: Block world, strips, Implementation using goal stack, Non linear planning with goal stacks, Hierarchical planning, least commitment strategy. 7 Hrs UNIT V : Advance AI Topics Naturat Language Processing Introduction, Steps in NLP , Syntactic Processing , ATN, RTN, Semantic analysis, Discourse & Pragmatic Processing . Perception : Perception, Action, Robot Architecture, 8 Hrs UNIT VI : Neural Networks: Introduction to neural networks and perception-qualitative Analysis. Neural net architecture and applications. Expert system:
Utilization and functionality, architecture of expert system, knowledge representation, two case studies on expert systems. Text Books 8 Hrs 1. Eugene, Charniak, Drew Mcdermott: “Introduction to artificial intelligence.” 2. Elaine Rich and Kerin Knight: “Artificial Intelligence.” 3. Kishen Mehrotra, Sanjay Rawika, K Mohan; “Artificial Neural Network.” Reference Book 1. Stuart Russell & Peter Norvig : “Artificial Intelligence : A Modern Approach”, Prentice Hall, 2 nd Edition. 2. Ivan Bratko : “Prolog Programming For Artificial Intelligence” , 2 nd Edition Addison Wesley, 1990. 3. Herbert A. Simon , “The Sciences of the Artificial “, MIT Press, 3 rd Edition ( 2 nd Printing ),1998. 4. Tim Jones “Artificial Intelligence Application Programming” M. Dreamtech Publication Laboratory work: Assignment based on: 1. Implement 8 puzzle problem using A* algorithm 2. Implement AO* algorithm for tower of Hanoi 3. Implementation of Unification Algorithm. 4. Implementation of Truth maintenance system using prolog 5. Implementation of Min/MAX search procedure for game Playing 6. Parsing Method Implementation using Prolog. 7. Development of mini expert system using Prolog / Expert System Shell “ Vidwan” Designed By NCST Mumbai. Staff should frame any six assignments on above topics. 410445 Image Processing
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- Page 23 and 24: screening, color cycling, morphing
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Utilization and functionality, architecture of expert system, knowledge representation,<br />
two case studies on expert systems.<br />
Text Books<br />
8 Hrs<br />
1. Eugene, Charniak, Drew Mcdermott: “Introduction to artificial intelligence.”<br />
2. Elaine Rich and Kerin Knight: “Artificial Intelligence.”<br />
3. Kishen Mehrotra, Sanjay Rawika, K Mohan; “Artificial Neural Network.”<br />
Reference Book<br />
1. Stuart Russell & Peter Norvig : “Artificial Intelligence : A Modern Approach”,<br />
Prentice Hall, 2 nd Edition.<br />
2. Ivan Bratko : “Prolog Programming For Artificial Intelligence” , 2 nd Edition<br />
Addison Wesley, 1990.<br />
3. Herbert A. Simon , “The Sciences of the Artificial “, MIT Press, 3 rd Edition ( 2 nd<br />
Printing ),1998.<br />
4. Tim Jones “Artificial Intelligence Application Programming” M. Dreamtech<br />
Publication<br />
Laboratory work:<br />
Assignment based on:<br />
1. Implement 8 puzzle problem using A* algorithm<br />
2. Implement AO* algorithm for tower of Hanoi<br />
3. Implementation of Unification Algorithm.<br />
4. Implementation of Truth maintenance system using prolog<br />
5. Implementation of Min/MAX search procedure for game Playing<br />
6. Parsing Method Implementation using Prolog.<br />
7. Development of mini expert system using Prolog / Expert System Shell “ Vidwan”<br />
Designed By NCST Mumbai.<br />
Staff should frame any six assignments on above topics.<br />
410445 Image Processing