Understanding Hierarchically Structured Objects

Wasserman, Kenneth

Natural and artificial hierarchical systems are pervasive. There is a strong need on the part of researcher8 in artificial intelligence and other areas of cognitive science to have mechanisms for "understanding" such systems. Furthermore, computer programs often represent data in a hierarchical form and they would greatly benefit from a technique that would allow them to dynamically build such classification systems from this data. This paper presents a formalism for describing hierarchies and then uses this formalism to explore the issue of inheritance from multiple sources which is of particular importance in hierarchy understanding.



More About This Work

Academic Units
Computer Science
Department of Computer Science, Columbia University
Columbia University Computer Science Technical Reports, CUCS-124-84
Published Here
February 17, 2012