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Artificial intelligence a modern approach

By: Material type: TextTextPublication details: Kuala Lumpur Pearson India Education Services Pvt. Ltd Pearson Malaysia Sdn. Bhd. 2020Description: xviii, 1145 p. : ill. ; 30 cmISBN:
  • 9789332543515 (pbk)
  • 9789673498161 (pbk)
Subject(s): DDC classification:
  • 006.3 RUS
Contents:
I. Artificial Intelligence. Intelligent Agents II. Problem-solving. Solving Problems by Searching. Informed Search Methods. Game Playing III. Knowledge and reasoning. Agents that Reason Logically. First-Order Logic. Building a Knowledge Base. Inference in First-Order Logic. Logical Reasoning Systems IV. Acting logically. Planning. Practical Planning. Planning and Acting V. Uncertain knowledge and reasoning. Uncertainty. Probabilistic Reasoning Systems. Making Simple Decisions. Making Complex Decisions VI. Learning. Learning from Observations. Learning in Neural and Belief Networks. Reinforcement Learning. Knowledge in Learning VII. Communicating, perceiving, and acting. Agents that Communicate. Practical Natural Language Processing. Perception. Robotics VIII. Conclusions. Philosophical Foundations. AI: Present and Future A Complexity analysis and O() notation B Notes on Languages and Algorithms
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Books Books Lahore Raiwind Campus 006.3 RUS (Browse shelf(Opens below)) 5 In transit from Al-Mizan Campus to Lahore Raiwind Campus since 09/26/2025 38626
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Books Books Malakand Campus 006.3 RUS (Browse shelf(Opens below)) 6 Available 60020

Includes appendices, bibliographical references and index.

I. Artificial Intelligence. Intelligent Agents
II. Problem-solving. Solving Problems by Searching. Informed Search Methods. Game Playing
III. Knowledge and reasoning. Agents that Reason Logically. First-Order Logic. Building a Knowledge Base. Inference in First-Order Logic. Logical Reasoning Systems
IV. Acting logically. Planning. Practical Planning. Planning and Acting
V. Uncertain knowledge and reasoning. Uncertainty. Probabilistic Reasoning Systems. Making Simple Decisions. Making Complex Decisions
VI. Learning. Learning from Observations. Learning in Neural and Belief Networks. Reinforcement Learning. Knowledge in Learning
VII. Communicating, perceiving, and acting. Agents that Communicate. Practical Natural Language Processing. Perception. Robotics
VIII. Conclusions. Philosophical Foundations. AI: Present and Future
A Complexity analysis and O() notation
B Notes on Languages and Algorithms

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