Amazon cover image
Image from Amazon.com
Image from Google Jackets

Introduction to Intelligence and Expert Systems

By: Material type: TextTextPublication details: Noida Pearson 2025Description: xv, 448p. 24 x 18 cmISBN:
  • 9789332551947
DDC classification:
  • 006.3 PAT
Summary: Part 1: Introduction to Artificial Intelligence - Overview of Artificial Intelligence Knowledge: General Concepts LISP and Other AI Programming Languages Part 2: Knowledge Representation - Formalized Symbolic Logics Dealing with Inconsistencies and Uncertainties Probabilistic Reasoning Structured Knowledge: Graphs, Frames and Related Structures Object Oriented Representations Part 3: Knowledge Organization and Manipulation - Search and Control Strategies Matching Techniques Knowledge Organization and Management Part 4: Perception, Communication and Expert Systems - Natural Language Processing Pattern Recognition Visual Image Understanding Expert Systems Architectures Part 5: Knowledge Acquisition - General Concepts in Knowledge Acquisition Early Work in Machine Learning Learning by Induction Examples of Other Inductive Learners Analogical and Explanation Based Learning
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number Status Date due Barcode
Reference Reference Raj Kumar Goel Institute of Technology AIML (Artificial Intelligence and Machine Learning) 006.3 PAT (Browse shelf(Opens below)) Not for loan 96287
Reference Reference Raj Kumar Goel Institute of Technology AIML (Artificial Intelligence and Machine Learning) 006.3 PAT (Browse shelf(Opens below)) Not for loan 96288

Part 1: Introduction to Artificial Intelligence - Overview of Artificial Intelligence
Knowledge: General Concepts
LISP and Other AI Programming Languages
Part 2: Knowledge Representation - Formalized Symbolic Logics
Dealing with Inconsistencies and Uncertainties
Probabilistic Reasoning
Structured Knowledge: Graphs, Frames and Related Structures
Object Oriented Representations
Part 3: Knowledge Organization and Manipulation - Search and Control Strategies
Matching Techniques
Knowledge Organization and Management
Part 4: Perception, Communication and Expert Systems - Natural Language Processing
Pattern Recognition
Visual Image Understanding
Expert Systems Architectures
Part 5: Knowledge Acquisition - General Concepts in Knowledge Acquisition
Early Work in Machine Learning
Learning by Induction
Examples of Other Inductive Learners
Analogical and Explanation Based Learning

There are no comments on this title.

to post a comment.
Implemented & Customized by: BestBookBuddies

Powered by Koha