Mechanical analogy of statement networks

International Journal of Applied Mathematics and Computer Science

Volumn 18, Issue 4, 2008, Pages 477-486

  Cholewa, Wojciech ^a  

^a SILESIAN UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Belief network; Contradictory rules; Dynamic statement; Statement network

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; CONDITION MONITORING; DECISION SUPPORT SYSTEMS; EXPERT SYSTEMS; KNOWLEDGE BASED SYSTEMS; OPTIMIZATION; THEOREM PROVING;

BELIEF NETWORK; CONTRADICTORY RULES; KNOWLEDGE BASES; KNOWLEDGE SOURCES; MECHANICAL ANALOGIES; REASONING CAPABILITIES; STATEMENT NETWORK; SUFFICIENT CONDITIONS; UNILATERAL CONSTRAINTS;

METROPOLITAN AREA NETWORKS;

EID: 58149194914     PISSN: 1641876X     EISSN: None     Source Type: Journal    
DOI: 10.2478/v10006-008-0042-7     Document Type: Article

References (13)

1. Cholewa W. (1996). Blackboards in technical diagnostics, Proceedings of the Conference on Diagnostics of Industrial Processes, Podkowa Leśna, Poland, pp. 42-47.
2. Cholewa W. (2004). Expert systems in technical diagnostics, in J. Korbicz, J. M. Kościelny, Z. Kowalczuk and W. Cholewa (Eds.), Fault Diagnosis. Models, Artificial Intelligence, Applications, Springer, Berlin, pp. 591-631.
3. Engelmore R. and Morgan T. (Eds.) (1988). Blackboard Systems, Addison-Wesley, Reading, MA.
4. Hayes-Roth B. (1995). An architecture for adaptive intelligent systems, Artificial Intelligence 72(1-2):329-365.
5. Isham V. (1981). An introduction to spatial point processes and Markov random fields, International Statistical Review 49(1): 21-43.
6. Jensen F. V. (2001). Bayesian Networks and Decision Graphs, Springer, New York, NY.
7. Kuncheva L. (2000). Fuzzy Classifier Design, Physica-Verlag, Heidelberg.
8. Lauritzen S. L. (1982). Lectures on Contingency Tables, 2nd Edn., University of Aalborg Press, Aalborg.
9. Moczulski W. (2004). Methods of acquisition of diagnostic knowledge, in J. Korbicz, J. Kościelny, Z. Kowalczuk and W. Cholewa (Eds.), Fault Diagnosis. Models, Artificial Intelligence, Applications, Springer, Berlin, pp. 675-718.
10. Negnevitsky M. (2002). Artificial Intelligence. A Guide to Intelligent Systems, Pearson Education Limited, Harlow.
11. Pearl J. (1988). Probabilistic Reasoning in Intelligent Systems. Networks of Plausible Inference, Morgan Kaufmann, San Mateo, CA.
12. Siler W. and Buckley J. J. (2005). Fuzzy Expert Systems and Fuzzy Reasoning, Wiley, Hoboken, NJ.
13. Wright S. (1934). The method of path coefficients, The Annals of Mathematical Statistics 5(3): 161-215.