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Btech Aktu Artificial Intelligence (KCS-071) Syllabus

Discover the principles of machine learning, neural networks, and intelligent systems as you explore the AKTU B.Tech syllabus for Artificial Intelligence. Enter the world of Artificial Intelligence and explore its revolutionary uses.

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UNIT-1: INTRODUCTION

  • Introduction
  • Definition
  • Future of Artificial Intelligence 
  • Characteristics of Intelligent Agents 
  • Typical Intelligent Agents 
  • Problem Solving Approach to Typical Al 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. 
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Artificial Intelligence Btech Quantum PDF, Syllabus, Important Questions

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Question paper – 2021-222021-22

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AKTU Important Links | Btech Syllabus

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