This paper concentrates on the primary theme of what are the two types of knowledge typically found in intelligent systems in which you have to explain and evaluate its intricate aspects in detail. In addition to this, this paper has been reviewed and purchased by most of the students hence; it has been rated 4.8 points on the scale of 5 points. Besides, the price of this paper starts from £ 40. For more details and full access to the paper, please refer to the site.
Knowledge Management Technologies and Systems
what are the two types of knowledge typically found in intelligent systems
WE NOW HAVE MOVED FROM KM SYSTEMS THEORY AND PRACTICE TO THE FOUNDATION SUPPORT OF KM TECHNOLOGIES. KM SYSTEMS AND TECHNOLOGIES ARE THE MAJOR CHAPTERS WE WILL FOCUS ON IN THIS SUMMER SESSION . READ CHAPTER 7 AND THE LECTURE NOTES IN “COURSE MATERIALS”
ANSWER QUESTIONS ON PAGE 1
Sample paper and sections
Knowledge Management Technologies and Systems
- Types of Knowledge Typically Found In Intelligent Systems
The two form of knowledge found in intelligent systems are the knowledge base and inference engine. Knowledge base can be identified as a descriptive, declarative, or propositional knowledge, which is a summation of the existing knowledge through tools such as the ontologies. The model stores complex data, which may be structured and unstructured and which relies on standardization of data elements in representation of facts. On the other hand, Inference engine, which may be viewed as the procedural or non-proposition, defines the facts that have been identified by the knowledge base. The features applied by inference engine are what may be viewed to as the intelligent aspects since they infer from all the obtained information in the knowledge base. The two are easily distinguishable based on their roles. Inference engine often tends to interpret and evaluate the facts possessed in the knowledge base while knowledge base can be said to be an organized collection of facts and information in the domain of the system. Together, the two work in unison.
- Why Knowledge Based Systems Are More Capable Of Solving Real World Problems Than Search- Based AI Methods
Knowledge based system would be considered to be a better tool in resolving issues in the real world in comparison to search based intelligent system all based on the roles the two perform and the abilities that the two posse
- Advantages Of Knowledge Based Systems
- disadvantages of knowledge based systems
- What is heuristic?
- What is a heuristic Function?
- What is a heuristic search?