final blogspot # 4

TOPIC: THE KNOWLEDGE - BASED SYSTEMS (KBS)

Question # 3:

1. Describe or define KBS.

-a knowledge-based system is a program for extending and/or querying a knowledge base.The Computer User High-Tech Dictionary defines a knowledge-based system as a computer system that is programmed to imitate human problem-solving by means of artificial intelligence and reference to a database of knowledge on a particular subject.

2. Distinguish KBS from MIS.

-A Knowledge-Based Systems focuses on systems that use knowledge-based techniques to support human decision-making, learning and action.Through that systems the users are capable of cooperating with human users and so the quality of support given and the manner of its presentation are important issues. While MIS it helps the KBS to make their systems capable of information and be availabe to the user.

3. Illustrate (give examples) how KBS can improve company's competitive advantage and organizational performance.

-In KBS the company can achieved competitive advantage and organizational performance by the presence of the available information and an available resources the company can easilly access and knows the different info that need to be take. Just like the drawing of a new subdivision but not already build. the competitors can also make another drawing with the information they got from the system.

References:

1. Blot, E., Durand, S., Jézéquel, L., Malandain, S., and Moulin, C. (1995). Knowledge Level : retour sur l'hypothèse d'Allen Newell, Rapport du L.I.R., available by e-mail (durand@excalibur.univ-rouen.fr).
2. Bouaud, J., Bachimont, B., Charlet, J., and Zweigenbaum, P. (1994). Acquisition and Structuring of an Ontology within Conceptual Graphs, DIAM Rapport interne RI-91-142.
3. Chaudron, L., and Tessier, C. (1995). SuprA-Cooperation: When Difference And Disagreement Are Constructive, COOP'95 Proceedings of the International Workshop on the Design of Cooperative Systems, 452-470, Antibes-Juan-les-Pins, France, INRIA (Ed).
4. Clancey, W. (1983). The epistemology of a rule-based expert system: a framework for explanation, Artificial Intelligence n°ree;20.
5. Clancey, W. (1985). Heuristic Classification, Artificial Intelligence n°ree;27, 289-350.