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JCST
2008
114views more  JCST 2008»
13 years 8 months ago
Synthesizing Service Composition Models on the Basis of Temporal Business Rules
Transformational approaches to generating design and implementation models from requirements can bring effectiveness and quality to software development. In this paper we present a...
Jian Yu, Yanbo Han, Jun Han, Yan Jin, Paolo Falcar...
COGSR
2011
105views more  COGSR 2011»
13 years 3 months ago
Inductive rule learning on the knowledge level
We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...
Ute Schmid, Emanuel Kitzelmann
DALT
2005
Springer
14 years 2 months ago
Modelling Uncertainty in Agent Programming
Existing cognitive agent programming languages that are based on the BDI model employ logical representation and reasoning for implementing the beliefs of agents. In these programm...
Johan Kwisthout, Mehdi Dastani
ACL
2012
11 years 11 months ago
Learning to "Read Between the Lines" using Bayesian Logic Programs
Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires â€...
Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku
FMOODS
2008
13 years 10 months ago
VeriCool: An Automatic Verifier for a Concurrent Object-Oriented Language
Reasoning about object-oriented programs is hard, due to , dynamic binding and the need for data abstraction and framing. Reasoning about concurrent object-oriented programs is eve...
Jan Smans, Bart Jacobs 0002, Frank Piessens