CH 10 PT 2

Expert Systems

Knowledge-based Information Systems

Human-like Interferences

Components of an expert system

Knowledge acquisition facility

Knowledge base

To organize the knowledge in a knowledge base:

Rules

Frames

Scripts

3. Knowledge base Management System

4. User Interface

5. Explanation Facility

6. Interface Engine

Reasoning Strategies used by the Inference Engine:

Forward Chaining

Backward Chaining

Criteria for Using Expert Systems/When to Build Them

Criteria for NOT Using Expert Systems/When NOT to Build Them

Expert System Advantages/Benefits

Expert System Challenges

Case-based Reasoning

Fuzzy Logic

Neural Networks

Genetic Algorithms

Intelligent Agents

Knowledge Management

Knowledge Mgt- Three kinds of knowledge

1. Structured

2. Semistructured

3. Tacit knowledge (unstructured)

Enterprise-wide knowledge management systems

Enterprise-wide knowledge management systems

Enterprise content management systems

Digital asset management systems

Knowledge network systems (Expertise location and management systems)

Social bookmarking

Folksonomies

Learning management systems (LMS)

Knowledge Work Systems (KWS)

Examples of Knowledge Work Systems

Virtual Reality

VR Technology

Visual and aural systems

Manual control for navigation & selection

A Haptic Interface

Locomotion tracker

Central coordinating processor and software system - generates and manipulates high quality graphics in real-time

Virtual Reality Applications