AKTU Artificial Intelligence (BEEZ072) Syllabus PDF – B.Tech 4th Year
Artificial Intelligence BEEZ072
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- Semester 7
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Syllabus — Artificial Intelligence
Download PDFBEEZ072 · 3 credits · L-T-P 3-0-0
Course Outcomes
At the end of course , the student will be able to:
| CO1 | Understand the basics of the theory and practice of Artificial Intelligence as a discipline and about intelligent agents. | K2 |
| CO2 | Understand search techniques and gaming theory. | K2 |
| CO3 | Apply knowledge representation techniques and problem-solving strategies to common AI applications. | K3 |
| CO4 | Aware of techniques used for classification and clustering. | K2 |
| CO5 | Understand the basics of pattern recognition and steps required for it. | K2 |
Unit-1: INTRODUCTION:
Introduction–Definition – Future of Artificial Intelligence – Characteristics of Intelligent Agents– Typical Intelligent Agents – Problem Solving Approach to Typical AI problems.
Unit-2: PROBLEM SOLVING METHODS:
Problem solving Methods – Search Strategies- Uninformed – Informed – Heuristics – Local Search Algorithms and Optimization Problems – Searching with Partial Observations – Constraint Satisfaction Problems – Constraint Propagation – Backtracking Search – Game Playing – Optimal Decisions in Games – Alpha – Beta Pruning – Stochastic Games
Unit-3: KNOWLEDGE REPRESENTATION:
First Order Predicate Logic – Prolog Programming – Unification – Forward Chaining-Backward Chaining – Resolution – Knowledge Representation – Ontological Engineering-Categories and Objects – Events – Mental Events and Mental Objects – Reasoning Systems for Categories – Reasoning with Default Information
Unit-4: SOFTWARE AGENTS:
Architecture for Intelligent Agents – Agent communication – Negotiation and Bargaining – Argumentation among Agents – Trust and Reputation in Multi-agent systems.
Unit-5: APPLICATIONS:
AI applications – Language Models – Information Retrieval- Information Extraction – Natural Language Processing – Machine Translation – Speech Recognition – Robot – Hardware – Perception – Planning – Moving
Text Books
- S. Russell and P. Norvig, “Artificial Intelligence: A Modern Approach‖, Prentice Hall, Third Edition, 2009.
- Bratko, “Prolog: Programming for Artificial Intelligence”, Fourth edition, Addison-Wesley Educational Publishers Inc., 2011.
- M. Tim Jones, ―Artificial Intelligence: A Systems Approach(Computer Science)‖, Jones and Bartlett Publishers, Inc.First Edition, 2008
- Nils J. Nilsson, ―The Quest for Artificial Intelligence‖, Cambridge University Press, 2009.
- William F. Clocksin and Christopher S. Mellish,‖ Programming in Prolog: Using the ISO Standard‖, Fifth Edition, Springer, 2003.
- Gerhard Weiss, ―Multi Agent Systems‖, Second Edition, MIT Press, 2013.
- David L. Poole and Alan K. Mackworth, ―Artificial Intelligence: Foundations of Computational Agents‖, Cambridge University Press, 2010.
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