Quantum Series AKTU

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Quantum Series AKTU PDF

Unit 1:-
INTRODUCTION :

  • Introduction–Definition
  • Future of Artificial Intelligence
  • Characteristics of Intelligent Agents
  • Typical Intelligent Agents
  • Problem Solving Approach to Typical AI problems.

Unit II:- 
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 Game

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

SOFTWARE AGENTS:

  • Architecture for Intelligent Agents
  • Agent communication
  • Negotiation and Bargaining
  • Argumentation among Agents
  • Trust and Reputation in Multi-agent systems.

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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