Hello guys,
I am sharing the PDF eBook containing brief notes for Artificial intelligence for the CS/IT Engineering students.
You will find the following modules in this eBook/notes for Artificial Intelligence:
Module I - Introduction to Artificial Intelligence: The Foundations of Artificial Intelligence, The History of Artificial Intelligence, and the State of the Art. Intelligent Agents: Introduction, How Agents should Act, Structure of Intelligent Agents, Environments. Solving Problems by Searching: problem-solving Agents, Formulating problems, Example problems, and searching for Solutions, Search Strategies, Avoiding Repeated States, and Constraint Satisfaction Search. Informed Search Methods: Best-First Search, Heuristic Functions, Memory Bounded Search, and Iterative Improvement Algorithms.
Module II - Agents That Reason Logically; A Knowledge-Based Agent, The Wumpus World Environment, Representation, Reasoning & Logic prepositional Logic : A very simple Logic, An agent for the Wumpus World. First-Order Logic; Syntax and Semantics, Extensions and National, Variations, using First Order Logic, Logical Agents for the Wumpus World, A Simple Reflex Agent, Representing Charge in the World, Deducing Hidden Properties of the World, Preferences Among Actions, Toward A Goal-Based Agent. Building a Knowledge Base; Properties of Good and Bad Knowledge Bases, Knowledge Engineering. The Electronic Circuits Domain, General Outology, The Grocery Shopping World. Inference in First-Order Logic : Inference Rules Involving Quantifiers, An Example Proof. Generalized Modus Ponens, Forward and Backward, Chaining & Completeness, Resolution: A complete Inference Procedure, Completeness of Resolution.
Module III - Planning A Simple Planning Agent Form Problem Solving to Planning. Planning in Situation Calculus. Basic Representations for Planning. A Partial-Order planning Example, A partial Order planning algorithm, Planning With partially Instantiated Operators, Knowledge Engineering for Planning. Making Simple Decision: Combining Beliefs and desires under uncertainty. The Basis of Utility Theory, Utility Functions. Multi attribute utility Functions, Decision Networks. The Value of Information. Decision, Theoretic Expert Systems.
Please click the download link below to get Artificial intelligence quick revision PDF class notes, book, eBook file for BTech Computer Science / IT Engineering syllabus.
I am sharing the PDF eBook containing brief notes for Artificial intelligence for the CS/IT Engineering students.
You will find the following modules in this eBook/notes for Artificial Intelligence:
Module I - Introduction to Artificial Intelligence: The Foundations of Artificial Intelligence, The History of Artificial Intelligence, and the State of the Art. Intelligent Agents: Introduction, How Agents should Act, Structure of Intelligent Agents, Environments. Solving Problems by Searching: problem-solving Agents, Formulating problems, Example problems, and searching for Solutions, Search Strategies, Avoiding Repeated States, and Constraint Satisfaction Search. Informed Search Methods: Best-First Search, Heuristic Functions, Memory Bounded Search, and Iterative Improvement Algorithms.
Module II - Agents That Reason Logically; A Knowledge-Based Agent, The Wumpus World Environment, Representation, Reasoning & Logic prepositional Logic : A very simple Logic, An agent for the Wumpus World. First-Order Logic; Syntax and Semantics, Extensions and National, Variations, using First Order Logic, Logical Agents for the Wumpus World, A Simple Reflex Agent, Representing Charge in the World, Deducing Hidden Properties of the World, Preferences Among Actions, Toward A Goal-Based Agent. Building a Knowledge Base; Properties of Good and Bad Knowledge Bases, Knowledge Engineering. The Electronic Circuits Domain, General Outology, The Grocery Shopping World. Inference in First-Order Logic : Inference Rules Involving Quantifiers, An Example Proof. Generalized Modus Ponens, Forward and Backward, Chaining & Completeness, Resolution: A complete Inference Procedure, Completeness of Resolution.
Module III - Planning A Simple Planning Agent Form Problem Solving to Planning. Planning in Situation Calculus. Basic Representations for Planning. A Partial-Order planning Example, A partial Order planning algorithm, Planning With partially Instantiated Operators, Knowledge Engineering for Planning. Making Simple Decision: Combining Beliefs and desires under uncertainty. The Basis of Utility Theory, Utility Functions. Multi attribute utility Functions, Decision Networks. The Value of Information. Decision, Theoretic Expert Systems.
Please click the download link below to get Artificial intelligence quick revision PDF class notes, book, eBook file for BTech Computer Science / IT Engineering syllabus.
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