Communications of the ACM
Automated Concept Acquisition in Noisy Environments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Implication of clauses is undecidable
Theoretical Computer Science
Learning nonrecursive definitions of relations with LINUS
EWSL-91 Proceedings of the European working session on learning on Machine learning
Inductive logic programming and learnability
ACM SIGART Bulletin
Applications of inductive logic programming
Communications of the ACM
Learning concepts from sensor data of a mobile robot
Machine Learning - Special issue on robot learning
Selecting Examples for Partial Memory Learning
Machine Learning
Algorithmic Program DeBugging
Inductive Logic Programming: Techniques and Applications
Inductive Logic Programming: Techniques and Applications
An Integrated Approach of Learning, Planning, and Execution
Journal of Intelligent and Robotic Systems
Learning Logical Definitions from Relations
Machine Learning
Predicate Invention and Learning from Positive Examples Only
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Learning Robot Control by Relational Concept Induction with Iteratively Controlled Examples
EWLR-8 Proceedings of the 8th European Workshop on Learning Robots: Advances in Robot Learning
The Many Faces of Inductive Logic Programming
ISMIS '93 Proceedings of the 7th International Symposium on Methodologies for Intelligent Systems
CL '00 Proceedings of the First International Conference on Computational Logic
Program construction from examples.
Program construction from examples.
ACM SIGKDD Explorations Newsletter
Knowledge base for finite-element mesh design learned by inductive logic programming
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Machine Learning
Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)
Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)
Constructing Programs from Example Computations
IEEE Transactions on Software Engineering
Undecidability of the Horn-clause implication problem
SFCS '92 Proceedings of the 33rd Annual Symposium on Foundations of Computer Science
Probabilistic Logic Networks: A Comprehensive Framework for Uncertain Inference
Probabilistic Logic Networks: A Comprehensive Framework for Uncertain Inference
Unifying logical and statistical AI
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
On the Synthesis of Finite-State Machines from Samples of Their Behavior
IEEE Transactions on Computers
DS'05 Proceedings of the 8th international conference on Discovery Science
Inductive Logic Programming ILP and Reasoning by Analogy in Context of Embodied Robot Learning
International Journal of Agent Technologies and Systems
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Open-ended learning is regarded as the ultimate milestone, especially in intelligent robotics. Preferably it should be unsupervised and it is by its nature inductive. In this article we want to give an overview of attempts to use Inductive Logic Programming ILP as a machine learning technique in the context of embodied autonomous agents. Relatively few such attempts exist altogether and the main goal in reviewing several of them was to find a thorough understanding of the difficulties that the application of ILP has in general and especially in this area. The second goal was to review any possible directions for overcoming these obstacles standing on the way of more widespread use of ILP in this context of embodied autonomous agents. Whilst the most serious problems, the mismatch between ILP and the large datasets encountered with embodied autonomous agents seem difficult to overcome we also found interesting research actively pursuing to alleviate these problems.