Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
The Utility of Knowledge in Inductive Learning
Machine Learning
Using Genetic Algorithms for Concept Learning
Machine Learning - Special issue on genetic algorithms
A Knowledge-Intensive Genetic Algorithm for Supervised Learning
Machine Learning - Special issue on genetic algorithms
Genetic programming II: automatic discovery of reusable programs
Genetic programming II: automatic discovery of reusable programs
Advances in genetic programming
Advances in genetic programming
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Inductive Logic Programming: Techniques and Applications
Inductive Logic Programming: Techniques and Applications
Knowledge Discovery in Databases
Knowledge Discovery in Databases
Learning Logical Definitions from Relations
Machine Learning
Machine Learning
AILP abductive inductive logic programming
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
GeLog - A System Combining Genetic Algorithm with Inductive Logic Programming
Proceedings of the International Conference, 7th Fuzzy Days on Computational Intelligence, Theory and Applications
Evolutionary approaches to fuzzy modelling for classification
The Knowledge Engineering Review
Evolutionary concept learning in first order logic: an overview
AI Communications
Hybrid Learning of Ontology Classes
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Genetic Programming and Evolvable Machines
Learning recursive functions from noisy examples using generic genetic programming
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Data Mining on DNA Sequences of Hepatitis B Virus
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Context-sensitive refinements for stochastic optimisation algorithms in inductive logic programming
Artificial Intelligence Review
Assessing the effectiveness of incorporating knowledge in an evolutionary concept learner
EuroGP'05 Proceedings of the 8th European conference on Genetic Programming
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Systems that induce first-order logic programs have drawn considerable interest recently within the artificial intelligence community. Inductive logic programming, for example, has very impressive applications in knowledge discovery in databases. Genetic programming, a promising alternative that builds on genetic algorithm search strategies, demonstrates equally impressive results across a wide range of uses.Both these strategies, however, have serious limitations. Despite its strong theoretical foundation from logic programming and computational learning theory, ILP does not handle concept learning well, nor can it achieve other learning paradigms such as reinforcement learning and strategy learning. GP has a much weaker theoretical foundation, as well as a laundry list of practical shortcomings.To alleviate or eliminate these shortcomings, we have devised a novel framework, called the Genetic Logic Programming Structure or GLPS, that integrates these two better known approaches. To demonstrate the viability of our GLPS approach, we have tested a preliminary implementation on a battery of learning tasks: Winston's arch problem, the modified Quinlan network reachability problem, the factorial problem, and the chess endgame problem.