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» A Description Logic System for Learning in Complex Domains
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GECCO
2007
Springer
213views Optimization» more  GECCO 2007»
14 years 2 months ago
Genetically programmed learning classifier system description and results
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...
Gregory Anthony Harrison, Eric W. Worden
ICCS
2005
Springer
14 years 1 months ago
Applications of Description Logics: State of the Art and Research Challenges
Abstract. Description Logics (DLs) are a family of class based knowledge representation formalisms characterised by the use of various constructors to build complex classes from si...
Ian Horrocks
ECML
1991
Springer
13 years 11 months ago
A Multistrategy Learning Approach to Domain Modeling and Knowledge Acquisition
This paper presents an approach to domain modeling and knowledge acquisition that consists of a gradual and goal-driven improvement of an incomplete domain model provided by a hum...
Gheorghe Tecuci
LPKR
1997
Springer
14 years 10 hour ago
Reasoning with Prioritized Defaults
The purpose of this paper is to investigate the methodology of reasoning with prioritized defaults in the language of logic programs under the answer set semantics. We present a do...
Michael Gelfond, Tran Cao Son
KR
2000
Springer
13 years 11 months ago
Reasoning with Axioms: Theory and Practice
When reasoning in description, modal or temporal logics it is often useful to consider axioms representing universal truths in the domain of discourse. Reasoning with respect to a...
Ian Horrocks, Stephan Tobies