A general approach to encode and unify recursively nested feature structures in connectionist networks is described. The unification algorithm implemented by the net is based on iterative coarsening of equivalence classes of graph nodes. This method allows the reformulation of unification as a constraint satisfaction problem and enables the connectionist implementation to take full advantage of the potential parallelism inherent in unification, resulting in sublinear time complexity. Moreover, the method is able to process any number of feature structures in parallel, searching for possible unifications and making decisions among mutually exclusive unifications where necessary. Keywords and phrases. Unification, constraint satisfaction, co...
We present an approach to the structure unification problem using distributed representations of hie...
SIGLEAvailable from British Library Document Supply Centre- DSC:9109.3968(EU-DCS-CSM--201) / BLDSC -...
Feature indexing techniques are promising for object recognition because of their ability to elimin...
This paper presents a method for using the self-organizing properties of connectionist networks of...
Although the connectionist approach has lead to elegant solutions to a number of problems in cogniti...
Connectionist modeis, commonly referred to as neural networks, are computing models in which large n...
This paper presents a method which allows standard data structure sharing techniques to be applied i...
The paper presents a network modeling tool called Net-Clause Language (NCL), integrating some connec...
We present an approach to the structure unification problem using distributed representations of hie...
Congruence closure is a fundamental operation for symbolic computation. Unification closureis define...
This thesis addresses the problem of efficiently representing large knowledge bases and performing a...
The unification problem and several variants are presented. Various algorithms and data structures a...
A long-standing difficulty for connectionist modeling has been how to represent variable-sized recur...
AbstractThe problem of unification of terms is log-space complete for P. In deriving this lower boun...
Three models of connectionist rule processing are presented and discussed: Shastri and Ajjanagadde's...
We present an approach to the structure unification problem using distributed representations of hie...
SIGLEAvailable from British Library Document Supply Centre- DSC:9109.3968(EU-DCS-CSM--201) / BLDSC -...
Feature indexing techniques are promising for object recognition because of their ability to elimin...
This paper presents a method for using the self-organizing properties of connectionist networks of...
Although the connectionist approach has lead to elegant solutions to a number of problems in cogniti...
Connectionist modeis, commonly referred to as neural networks, are computing models in which large n...
This paper presents a method which allows standard data structure sharing techniques to be applied i...
The paper presents a network modeling tool called Net-Clause Language (NCL), integrating some connec...
We present an approach to the structure unification problem using distributed representations of hie...
Congruence closure is a fundamental operation for symbolic computation. Unification closureis define...
This thesis addresses the problem of efficiently representing large knowledge bases and performing a...
The unification problem and several variants are presented. Various algorithms and data structures a...
A long-standing difficulty for connectionist modeling has been how to represent variable-sized recur...
AbstractThe problem of unification of terms is log-space complete for P. In deriving this lower boun...
Three models of connectionist rule processing are presented and discussed: Shastri and Ajjanagadde's...
We present an approach to the structure unification problem using distributed representations of hie...
SIGLEAvailable from British Library Document Supply Centre- DSC:9109.3968(EU-DCS-CSM--201) / BLDSC -...
Feature indexing techniques are promising for object recognition because of their ability to elimin...