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» Using Genetic Programming for Turing Machine Induction
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AI
1998
Springer
14 years 9 months ago
What Robots Can Do: Robot Programs and Effective Achievability
In this paper, we propose a definition of goal achievability: given a basic action theory describing an initial state of the world and some primitive actions available to a robot...
Fangzhen Lin, Hector J. Levesque
BMCBI
2007
144views more  BMCBI 2007»
14 years 9 months ago
Motif kernel generated by genetic programming improves remote homology and fold detection
Background: Protein remote homology detection is a central problem in computational biology. Most recent methods train support vector machines to discriminate between related and ...
Tony Håndstad, Arne J. H. Hestnes, Pål...
COOPIS
1998
IEEE
15 years 1 months ago
Towards an Inductive Design of Distributed Object Oriented Databases
Cooperative Information Systems (CIS) often consist of applications that access shared resources such as databases. Since centralized systems may have a great impact on the system...
Fernanda Araujo Baião, Marta Mattoso, Gerso...
ICSEA
2007
IEEE
15 years 3 months ago
Test Data Generation from UML State Machine Diagrams using GAs
Automatic test data generation helps testers to validate software against user requirements more easily. Test data can be generated from many sources; for example, experience of t...
Chartchai Doungsa-ard, Keshav P. Dahal, M. Alamgir...
UPP
2004
Springer
15 years 2 months ago
Inverse Design of Cellular Automata by Genetic Algorithms: An Unconventional Programming Paradigm
Evolving solutions rather than computing them certainly represents an unconventional programming approach. The general methodology of evolutionary computation has already been know...
Thomas Bäck, Ron Breukelaar, Lars Willmes