Expert System Lecture 1 PDF

Expert System Lecture 1 Checkbox Multi-select STUDY Artificial Intelligence is the ability of a computer program or a machine to think and learn. It is a field of study that tries to make computers "smar...

Expert System Lecture 1 Checkbox Multi-select STUDY Artificial Intelligence is the ability of a computer program or a machine to think and learn. It is a field of study that tries to make computers "smart." AI: The study of how to make computers think, either by building a "brain" or using intelligent systems, to mimic or duplicate the functions of the human brain. Intelligent Areas 1. Robotics: Sensory systems combined with programmable electromechanical devices to perform manual labor. 2. Natural Language Processing: Allows users to use their native language instead of English. 3. Neural Networks: Mathematical models that simulate the functionality of the human brain. 4. Expert Systems: Human knowledge stored in a machine for use in problem-solving. 5. Fuzzy Logic: Extends logic from Boolean true/false to allow for partial truths. Intelligent Behavior Learn from experience. Apply acquired knowledge. Handle complex situations. Solve problems when information is missing. Determine what is important. Understand visual images. Expert System Lecture 1 1  Process and manipulate symbols. Be creative and imaginative. Use heuristics. What is an Expert System? An Expert System (ES) is an interactive and reliable computer-based decision- making system that uses facts and heuristics to solve decision-making problems. Definition (Alternate) An Expert System is a computer system that emulates the decision-making ability of a human expert in a restricted domain. Types of Expert Systems 1.Rule-Based Systems: Knowledge represented by a series of rules. 2.Frame-Based Systems: Knowledge represented using frames. 3.Hybrid Systems: Combines several approaches, such as rules and frames. 4.Model-Based Systems: Models simulate the structure and functions of systems. 5.Off-the-Shelf Systems: Ready-made packages for general use. 6.Custom-Made Systems: Designed to meet specific needs. 7.Real-Time Systems: Operates with strict limits set on system response times. Expert System Components: An Expert System is a computer program with several components: Knowledge Base Knowledge Acquisition Subsystem Inference Engine Explanation Subsystem User Interface Explanation Facility interacts with the Inference Engine. Inference Engine connects with the Knowledge Base and User Interface. Expert System Lecture 1 2  Knowledge Acquisition Facility collects knowledge from Experts and interacts with Users. Knowledge Base: is a technology used to store complex structured and unstructured information in a computer system. The initial use of a knowledge base is to serve as a centralized collection of data and information with minimal possible redundancy. Database: A centralized collection and integration of data and information to be easily stored and retrieved with minimum redundancy. 🎾 ‫عربي‬ Expert System Lecture 1 3