This book provides a comprehensive presentation of artificial intelligence (AI) methodologies and tools valuable for solving a wide spectrum of engineering problems. What's more, it offers these AI tools on an accompanying disk with easy-to-use software.
Artificial Intelligence and Expert Systems for Engineers details the AI-based methodologies known as: Knowledge-Based Expert Systems (KBES); Design Synthesis; Design Critiquing; and Case-Based Reasoning. KBES are the most popular AI-based tools and have been successfully applied to planning, diagnosis, classification, monitoring, and design problems. Case studies are provided with problems in engineering design for better understanding of the problem-solving models using the four methodologies in an integrated software environment.
Throughout the book, examples are given so that students and engineers can acquire skills in the use of AI-based methodologies for application to practical problems ranging from diagnosis to planning, design, and construction and manufacturing in various disciplines of engineering.
Artificial Intelligence and Expert Systems for Engineers is a must-have reference for students, teachers, research scholars, and professionals working in the area of civil engineering design in particular and engineering design in general.
Table of Contents
Chapter 1. Introduction
Developments in Artificial Intelligence
Developments in Expert Systems
Role of AI and Expert Systems in Engineering
Chapter 2. Search Techniques
Problem Definition and Solution Process
Problem Decomposition and AND-OR Graphs
Chapter 3. Knowledge-Based Expert System
What is KBES?
Architecture of KBES
Chapter 4. Engineering Design Synthesis
Decomposition Model for Synthesis
Role of Synthesizer in KBES Environment
An Architecture for a Synthesizer-A Generic Tool
Generic Synthesis Tool-GENSYNT
Chapter 5. Criticism and Evaluation
Methodologies Used in Knowledge Based Environment
A Framework for Critiquing and Evaluation
Generic Critiquing Tool-GENCRIT
Chapter 6. Case-Based Reasoning
Applications of Case-Based Reasoning
Case-Based Reasoning Process
A Framework for CBR in Engineering Design (CASETOOL)
Architecture of CASETOOL
Chapter 7. Process Models and Knowledge-Based System
Expert Systems for Diagnosis
Blackboard Model of Problem Solving
ODESSY-An Integrated System for Preliminary Design of Reinforced Concrete Multistory Office Buildings
Conceptual Design of a Car Body Shape
SETHU-An Integrated KBES for Concrete Road Bridge Design