Learning Spatial Relations Using an Inductive Logic Programming System
Maria do Carmo Nicoletti ; Jane Brennan
Computing and Informatics, Tome 28 (2012) no. 1, / Harvested from Computing and Informatics
The ability to learn spatial relations is a prerequisite for performing many relevant tasks such as those associated with motion, orientation, navigation, etc. This paper reports on using an Inductive Logic Programmming (ILP) system for learning function-free Horn-clause descriptions of spatial knowledge. Its main contribution, however, is to show that an existing relation between two reference systems --- the speaker-relative and the absolute --- can be automatically learned by an ILP system, given the proper background knowledge and positive examples.
Publié le : 2012-01-26
Classification: 
@article{cai506,
     author = {Maria do Carmo Nicoletti and Jane Brennan},
     title = {Learning Spatial Relations Using an Inductive Logic Programming System},
     journal = {Computing and Informatics},
     volume = {28},
     number = {1},
     year = {2012},
     language = {en},
     url = {http://dml.mathdoc.fr/item/cai506}
}
Maria do Carmo Nicoletti; Jane Brennan. Learning Spatial Relations Using an Inductive Logic Programming System. Computing and Informatics, Tome 28 (2012) no. 1, . http://gdmltest.u-ga.fr/item/cai506/