Inference and reflection in the object-centered representation language NOOS

Future Generation Computer Systems

Volumn 12, Issue 2-3 SPEC. ISS., 1996, Pages 173-188

  Arcos, Josep Lluís ^a   Plaza, Enric ^a  

^a CSIC   (Spain)

Author keywords

Case based reasoning; Knowledge representation; Machine learning; Object centered representation language; Reflection

Indexed keywords

INFERENCE ENGINES; KNOWLEDGE REPRESENTATION; LEARNING SYSTEMS; OBJECT ORIENTED PROGRAMMING; PROBLEM SOLVING;

METALEVELS; OBJECT CENTERED REPRESENTATION LANGUAGE;

KNOWLEDGE BASED SYSTEMS;

EID: 0030234249     PISSN: 0167739X     EISSN: None     Source Type: Journal    
DOI: 10.1016/0167-739X(96)00003-9     Document Type: Article

References (20)

1. H. Akkermans and F. van Harmelen and G. Schreiber and B. Wielinga, A formalisation of knowledge-level model for knowledge acquisition, Int. J Intelligent Systems 8 (1993) 169-208.
2. J. L. Arcos and E. Plaza, A reflective architecture for integrated memory-based learning and reasoning, in: Topics in Case-Based Reasoning, eds. S. Wess, K.D. Althoff and M. Richter, Lecture Notes in Artificial Intelligence, Vol. 837 (Springer, Berlin, 1993) 289-300.
3. J. L. Arcos and E. Plaza, Integration of learning into a knowledge modelling framework, in: A Future for Knowledge Acquisition, eds. L. Steels, G. Schreiber and W. Van de Velde, Lecture Notes in Artificial Intelligence, Vol. 867 (Springer, Berlin, 1994) 355-373.
4. J. L. Arcos and E. Plaza, Reasoning with preferences in a reflective framework, submitted.
5. E. Armengol and E. Plaza, A knowledge level model of case-based learning, in: Topics in Case-Based Reasoning, eds. S. Wees and K.D. Althoff and M. Richter, Lecture Notes in Artificial Intelligence, Vol. 837 (Springer, Berlin, 1993) 53-64.
6. E. Armengol and E. Plaza, Integrating induction in a case-based reasoner, in: Advances in Case-Based Reasoning, eds. J. P. Haton, M. Keane and M. Manago, Lecture Notes in Artificial Intelligence, Vol. 984 (Springer, Berlin, 1994) 3-17.
7. R. Benjamins, On a role of problem solving methods in knowledge acquisition-experiments with diagnostic strategies, in: A Future for Knowledge Acquisition, eds. L. Steels, G. Schreiber and W. Van de Velde, Lecture Notes in Artificial Intelligence, Vol. 867 (Springer, Berlin, 1994).
8. L. Godo and R.L. de Mántaras C. Sierra and A. Verdaguer, Milord: The architecture and the management of linguistically expressed uncertainty, Internat. J. Intelligent Systems, 4 (1989) 471-501.
9. D. Harel, Dynamic Logic, Handbook of Philosophical Logic, Vol. 2, eds. D.M. Gabbay and F. Guenthner, (Kluwer Academic Publishers, Dordrecht, 1984) 497-604.
10. B. López and E. Plaza, Case-based learning on strategic knowledge, in: Machine Learning-European Working Session on Learning-91, ed. Y. Kodratoff, Lecture Notes in Artificial Intelligence, Vol. 482 (Springer, Berlin, 1991) 398-411.
11. B. López and E. Plaza, Case-based planning for medical diagnosis, in: Methodologies for Intelligent Systems, ed. Z. Ras, Lecture Notes in Artificial Intelligence, Vol. 689 (Springer, Berlin, 1993) 96-105.
12. T. Mitchell, J. Allen, P. Chalasani, J. Cheng, O. Etzioni, M. Ringuette and J. Schlimmer, THEO: A framework for self-improving Systems, in: Architectures for Intelligence, ed. K. VanLehn (Lawrence Erlaum, London, 1991) 323-356.
13. A. Newell, Unified Theories of Cognition (Harvard University Press, Cambridge, MA; 1990).
14. E. Plaza, Reflection for Analogy: Inference-level reflection in an architecture for analogical reasoning, in: Proc. IMSA'92 Workshop on Reflection and Metalevel Architectures, (1992) 166-171.
15. A. Ram, M. T. Cox and S. Narayanan, An architecture for integrated introspective learning, in: ML'92 Workshop on Computational Architectures for Machine Learning and Knowledge Acquisition (1992).
16. C. Sierra, L. Godo, R.L de Mántaras and M. Manzano, Descriptive Dynamic Logic and its application to reflective Architectures, Future Generation Comput. Systems (1996).
17. L. Steels, Components of Expertise, AI Magazine 11(2) (1990) 28-49.
18. J. Treur, On the use of reflection principles in modelling complex reasoning, Int. J. Intelligent Systems 6 (1991) 277-294.
19. B. Wielinga, G. Schreiber and J. Breuker, KADS: A modelling approach to knowledge engineering, Knowledge Aquisition 4(1) (1992) 5-54 (Special Issue 'The KADS approach to knowledge engineering').
20. B. Wielinga, W. van de Velde and G. Schreiber and H. Akkermans, Towards a unification of knowledge modelling approaches, in: Second generation Expert Systems, eds. J.M. David and J.P. Krivine and R. Simmons (Springer, Berlin, 1993) 299-335.