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Artificial Intelligence and Expert Systems for Engineers eBook, Notes pdf Download
Rajan Sharma

Artificial Intelligence and Expert Systems for Engineers eBook, Notes pdf Download

Rajan Sharma | 15-Feb-2016 |
Introduction , Search Techniques , Knowledge-Based Expert System , Engineering Design Synthesis , Criticism and Evaluation , Case-Based Reasoning , Process Models and Knowledge-Based Systems , Introduction , Search Techniques , Knowledge-Based Expert System , Engineering Design Synthesis , Criticism and Evaluation , Case-Based Reasoning , Process Models and Knowledge-Based Systems ,

Hi friends, here Rajan Sharma uploaded notes for Artificial Intelligence And Expert Systems and ARTIFICIAL INTELLIGENCE with title Artificial Intelligence and Expert Systems for Engineers eBook, Notes pdf Download. You can download this lecture notes, ebook by clicking on the below file name or icon.

Chapter 1—Introduction
1.1 General
1.2 Developments in Artificial Intelligence
1.3 Developments in Expert Systems
1.4 Role of AI and Expert Systems in Engineering
Chapter 2—Search Techniques
2.1 Introduction
2.2 Problem Definition and Solution Process
2.3 Production Systems
2.4 Search Techniques
2.4.1 Breadth-First Search
2.4.2 Depth-First Search
2.4.3 Heuristic Search
2.4.4 Generate and Test
2.4.5 Best-First Search
2.4.6 Agenda-Driven Search
2.5 Problem Decomposition and AND-OR Graphs
Chapter 3—Knowledge-Based Expert System
3.1 Introduction
3.2 What is KBES?
3.3 Architecture of KBES
3.3.1 Knowledge Base
3.3.2 Inference Mechanisms
3.3.3 Inexact Reasoning
3.3.4 Non-Monotonic Reasoning
3.3.5 Reasoning Based on Certainty Factors
Chapter 4—Engineering Design Synthesis
4.1 Introduction
4.2 Synthesis
4.3 Decomposition Model for Synthesis
4.4 Role of a Synthesiser in KBES Environment
4.5 An Architecture for a Synthesiser - A Generic Tool
4.6 Generic Synthesis Tool - GENSYNT
4.6.1 Application Examples
Chapter 5—Criticism and Evaluation
5.1 Introduction
5.2 Methodologies Used in a Knowledge-Based Environment
5.3 A Framework for Critiquing and Evaluation
5.3.1 Knowledge Representation Framework
5.3.2 Inference Mechanism
5.3.3 Algorithm for Overall Rating of a Hierarchical Solution
5.4 Generic Critiquing Tool - Gencrit
5.4.1 Critiquing Knowledge Base in GENCRIT
5.4.2 Working of GENCRIT
Chapter 6—Case-Based Reasoning
6.1 Introduction
6.2 Applications of Case-Based Reasoning
6.2.1 Planning
6.2.2 Design
6.2.3 Diagnosis
6.3 Case-Based Reasoning Process
6.3.1 Case Retrieval
6.3.1.1 Selection by search conditions
6.3.1.2 Classification by relevance
6.3.1.3 Classification by performance
6.3.1.4 Illustration of the case retrieval process
6.3.2 Solution Transformation
6.3.2.1 Problem detection
6.3.2.2 Focusing on appropriate parts
6.3.2.3 Solution transformation
6.3.2.4 Evaluation and testing
6.3.3 Case Storing
6.4 A Framework for CBR in Engineering Design (CASETOOL)
6.4.1 Case Retrieval
6.4.2 Solution Transformation
6.4.3 Case Storing
6.5 Architecture of CASETOOL
6.6 Application Example
6.6.1 Architecture of VASTU
6.6.2 CBR Process in VASTU
Chapter 7—Process Models and Knowledge-Based Systems
7.1 Introduction
7.2 Expert Systems for Diagnosis
7.2.1 Understanding of Domain Knowledge
7.2.2 Evolution of Knowledge Nets
7.2.3 Transformation of Knowledge from Nets to Rule Base
7.3 Blackboard Model of Problem Solving
7.3.1 Blackboard Architecture
7.3.2 Blackboard Framework
7.3.3 Integrated Engineering System
7.3.4 Illustrative Example
7.4 ODESSY - An Integrated System for Preliminary Design of Reinforced Concrete
Multistory Office Buildings
7.4.1 Task Analysis of Building Design
7.4.2 Synthesis-Criticism-Modification Model
7.4.3 Layout Planning
7.4.4 Conceptual and Preliminary Design
7.4.5 Architecture of ODESSY
7.5 Conceptual Design of a Car Body Shape
7.5.1 Functional Requirements
7.5.2 Design Parameters
7.5.3 Design Decoupling
7.5.4 Synthesis and Critiquing of Solutions
7.5.5 Case-Based Evaluation of Shapes
7.6 SETHU - An Integrated KBES for Concrete Road Bridge Design
7.6.1 Task Analysis of Bridge Design Process
7.6.2 Process Model
7.6.3 KBES Development Tool
7.6.4 SETHU: Architecture
7.7 Future Trends
7.7.1 Genetic Algorithms
7.7.2 Artificial Neural Networks
7.7.3 Concurrent Engineering

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