Knowledge Based System
This document was uploaded by user and they confirmed that they have the permission to share it. If you are author or own the copyright of this book, please report to us by using this DMCA report form. Report DMCA
Overview
Download & View Knowledge Based System as PDF for free.
More details
- Words: 379
- Pages: 2
Knowledge Based System KBSs are computer systems that contains stored knowledge and solve problems like humans. Their core components are • •
knowledge-base (rules, facts, meta-knowledge) inference engine (reasoning and search strategy for solution, other services)
characteristics of KBSs: • • •
intelligent information processing systems representation of domain of interest - > symbolic representation problem solving-> by symbol - manipulation
=> symbolic programs STRUCTURE Explanation subsystem User
Case specific database
User interface Inference engine Knowledge base
Knowledge engineer
Developer's interface
Knowledge acquisition subsystem
knowledge-base (KB) : It contains knowledge about the field of interest (in natural languagelike formalism). It is a symbolically described system-specification. KNOWLEDGEREPRESENTATION METHOD! inference engine: Its is an engine of problem solving (general problem solving knowledge) and supports the operation of the other components. PROBLEM SOLVING METHOD! case-specific database : It is an auxiliary component. It comprises of specific information (information from outside, initial data of the concrete problem) and information obtained during reasoning. Explanation subsystem: It contains the explanation of system’s actions in case of user’s request. Typical explanation facilities:
1. Explanation during problem solving:
• • •
WHY... (explanative reasoning, intelligent help, tracing information about the actual reasoning steps) WHAT IF... (hypothetical reasoning, conditional assignment and its consequences, can be withdrawn) WHAT IS ... (gleaning in knowledge-base and case-specific database)
1. Explanation after problem solving: • HOW ... (explanative reasoning, information about the way the result has been • •
found) WHY NOT ... (explanative reasoning, finding counter-examples) WHAT IS ... (gleaning in knowledge-base and case-specific database)
Knowledge acquisition subsystem: Its main tasks are: • • •
• •
checking the syntax of knowledge elements checking the consistency of KB (verification, validation) knowledge extraction, building KB automatic logging and book-keeping of the changes of KB tracing facilities (handling breakpoints, automatic monitoring and reporting the values of knowledge elements)
user interface (→ user) : dialogue on natural language (consultation/ suggestion) Specially intefaces: comprises of database and other connections Developer interface (→ knowledge engineer, human expert) Knowledge engineer selects the knowledge representation method and reasoning strategy. He is also responsible for the implementation of knowledge-based system. Other tasks are • knowledge acquisition and design of KBS: determination, classification, refinement and formalization of methods, thumb-rules and procedures • verification and validation of KB • KB maintenance
knowledge-base (rules, facts, meta-knowledge) inference engine (reasoning and search strategy for solution, other services)
characteristics of KBSs: • • •
intelligent information processing systems representation of domain of interest - > symbolic representation problem solving-> by symbol - manipulation
=> symbolic programs STRUCTURE Explanation subsystem User
Case specific database
User interface Inference engine Knowledge base
Knowledge engineer
Developer's interface
Knowledge acquisition subsystem
knowledge-base (KB) : It contains knowledge about the field of interest (in natural languagelike formalism). It is a symbolically described system-specification. KNOWLEDGEREPRESENTATION METHOD! inference engine: Its is an engine of problem solving (general problem solving knowledge) and supports the operation of the other components. PROBLEM SOLVING METHOD! case-specific database : It is an auxiliary component. It comprises of specific information (information from outside, initial data of the concrete problem) and information obtained during reasoning. Explanation subsystem: It contains the explanation of system’s actions in case of user’s request. Typical explanation facilities:
1. Explanation during problem solving:
• • •
WHY... (explanative reasoning, intelligent help, tracing information about the actual reasoning steps) WHAT IF... (hypothetical reasoning, conditional assignment and its consequences, can be withdrawn) WHAT IS ... (gleaning in knowledge-base and case-specific database)
1. Explanation after problem solving: • HOW ... (explanative reasoning, information about the way the result has been • •
found) WHY NOT ... (explanative reasoning, finding counter-examples) WHAT IS ... (gleaning in knowledge-base and case-specific database)
Knowledge acquisition subsystem: Its main tasks are: • • •
• •
checking the syntax of knowledge elements checking the consistency of KB (verification, validation) knowledge extraction, building KB automatic logging and book-keeping of the changes of KB tracing facilities (handling breakpoints, automatic monitoring and reporting the values of knowledge elements)
user interface (→ user) : dialogue on natural language (consultation/ suggestion) Specially intefaces: comprises of database and other connections Developer interface (→ knowledge engineer, human expert) Knowledge engineer selects the knowledge representation method and reasoning strategy. He is also responsible for the implementation of knowledge-based system. Other tasks are • knowledge acquisition and design of KBS: determination, classification, refinement and formalization of methods, thumb-rules and procedures • verification and validation of KB • KB maintenance
Related Documents
Knowledge Based System
June 2020 6
Knowledge Based Competitive Advantages
May 2020 11
Qatar - Knowledge Based Economy
May 2020 9
Knowledge Based Expert Systems
April 2020 27
Knowledge Based Economy
December 2019 8