paper announcement

[Hans Nieters]

The following 15 page paper is now available. It can be ftp-ed from
GMD under the name nieters.petri.neural.ps.Z, as shown below, or can be ordered
by sending a note to:

   Hans Nieters
   GMD-F2G2
   W-5205 St. Augustin
   Postfach 1240
   Germany

or Email: nit at gmdzi.gmd.de

              Neural Networks 
       as Predicate Transition systems

   The relationship between NN and Petri nets is investigated,
   since both have their merits for seemingly different application areas.
   For non-recurrent NN (with and without backprop.) a Predicate Transition
   system (a very high level class of Petri nets) can be given, which is in  sense
   behaviorally equivalent. The aim of this approach is to show that both modeling
   techniques could gain benefits from each other, if they were put on a common basis:
   Petrinets allow modeling of concurrency and conflict (missing in NN) whereas NN
   contributes learning (missing in Petri nets). The proposed technique for 
   transforming NN into PrT systems is demonstrated by examples.
   The paper is written mainly for people familiar with Petrinets and newcomer in 
   NN, but perhaps some connectionists may find it helpful also, despite of the fact,
   that the results are very preliminary. 
   
unix> ftp gmdzi.gmd.de
Name: anonymous
Password: state-your-name-please
ftp> cd pub/gmd
ftp> binary
ftp> get nieters.petri.neural.ps.Z
  (ca 176000 bytes)
ftp> quit
unix> uncompress nieters.petri.neural.ps.Z
unix> lpr nieters.petri.neural.ps


The postscript file has been tested and will hopefully print also YOUR printer