1. Introduction –
Data-Based Systems (DBS) and
Knowledge-Based Systems/Expert Systems (KBS/XS)
Objectives of this unit:
• Notions: data, information, knowledge
• Dualisms
Algorithm / Problem Solving
Data Base / Knowledge Base
Procedural Knowledge / Declarative Knowledge
Data-Based Systems / Knowledge-Based Systems – Expert Systems
• A (very brief summary of ) Methods and techniques of
Knowledge Representation / Processing
Input
Memory Control
ALU
Output CPU
Data
Data Processing Systems – Overall Architecture
Data-Based Systems, Knowledge-Based Systems
Algorithm
Procedural Knowledge Data Base
• • •
Algorithm
Data Base
Procedural Knowledge
Problem Solving
Knowledge Base
Declarative Knowledge
Data-Based Systems, Knowledge-Based Systems
Wikipedia:
• Procedural Knowledge:
– procedural knowledge is one type of knowledge that can be possessed by an intelligent agent. Such knowledge is often represented as a partial or complete finite-state machine or computer program. A well-known example is the Procedural Reasoning System, which might, in the case of a mobile robot that navigates in a building, contain procedures such as "navigate to a room" or "plan a path".
• Declarative Knowledge:
– an AI system based on declarative knowledge might just contain a map of the building, together with information about the basic actions that can be done by the robot (like moving forward, turning, and stopping), and leave it to a domain-independent planning algorithm to discover how to use those actions to achieve the agent's goals.
User/Expert
Interface
Case- Specific Knowledge
Black Board
Domain- Specific Knowledge Problem Solving
Knowledge Acquisition /
Processing
Interface Engine
Explanation Generation
Engine
