Artificial Intelligence
Speeding up problem solving by abstraction: a graph oriented approach
Artificial Intelligence - Special volume on empirical methods
An introduction to Kolmogorov complexity and its applications (2nd ed.)
An introduction to Kolmogorov complexity and its applications (2nd ed.)
Artificial Intelligence - Special issue on relevance
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Principles of Database Systems
Principles of Database Systems
Planning in a hierarchy of abstraction spaces
IJCAI'73 Proceedings of the 3rd international joint conference on Artificial intelligence
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
A semantic theory of abstractions
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Domain abstraction and limited reasoning
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 2
The abstraction/implementation model of problem reformulation
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 2
Preserving consistency across abstraction mappings
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 2
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In this paper we propose a perception-based view of abstraction, which originates from the observation that conceptualization of a domain involves entities belonging to several episteological levels. The fundamental level corresponds to the preception of a world. For memorization purposes, some kind of structure is needed, in order to organize objects and relations perceived in the world into coherent ensembles. To communicate with others, a language must be invented, and, finally, a theory makes it possible to reason about the world. After invented, suitable properties abstraction should have to be useful for concept representation, examples of abstraction operators, designed to perform the abstraction process in practice, will be introduced.