DocumentCode
2699146
Title
Dissolving variables in connectionist combinatory logic
Author
Barnden, John ; Srinivas, K.
fYear
1990
fDate
17-21 June 1990
Firstpage
709
Abstract
Variable binding arises because the production rules, etc. deployed in traditional artificial intelligence computations generally have variables as crucial components. The technique of recasting such computations in terms of special functions called combinators avoids the use of explicit variables and can therefore be a useful approach for connectionism. In the important case of the connectionist system that interprets rules rather than having them wired in, the system would merely process complex, but variable-free, combinator expressions in certain simple ways. Although a connectionist system of the type investigated still has to manipulate complex data structures, those structures and their manipulations are rendered more uniform, thereby dissolving an important part of the variable binding problem. A connectionist combinator reduction machine which mimics the graph reduction machine described by D.A. Turner (1979) has been implemented
Keywords
cognitive systems; combinatorial mathematics; data structures; formal logic; neural nets; artificial intelligence computations; combinator reduction machine; complex data structures; connectionist combinatory logic; graph reduction machine; production rules; rule interpretation; variable binding;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1990., 1990 IJCNN International Joint Conference on
Conference_Location
San Diego, CA, USA
Type
conf
DOI
10.1109/IJCNN.1990.137921
Filename
5726879
Link To Document