• 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