Machine Intelligence 14

1. Game mastery and intelligence ; 2. Reacting, planning, and learning in an autonomous agent ; 3. Multi-entity models ; 4. Putting knowledge rich plan represetnations to use ; 5. On dealing with dynamic utility of learned knowledge ; 6. Inverting entailment and progol ; 7. Learning logic programs and regularities from examples by inductive inference ; 8. Variations and local exceptions in inductive logic programming ; 9. Inductive logic programming with large-scale unstructured data ; 10. Discovery of protein structural constraints in a deductive database using inductive logic programming ; 11. Controlling a steel mill with BOXES ; 12. A reasoning system for legal analogy ; 13. Concept learning algorithm with adaptive search ; 14. Deriving qualitative control for dynamic systems ; 15. Behavioural clones and cognitive skill models ; 16. A classification of abduction: abduction for logic programming ; 17. Efficient algorithms for inductive learning - an application of multi-linear functions to inductive learning