Unification as Constraint Satisfaction in Structured Connectionist Networks
Andreas Stolcke · Neural Computation · 1989
Unification is a basic concept in several traditional symbolic formalisms that should be well suited for a connectionist implementation due to the intuitive nature of the notions it formalizes. It is shown that by approaching unification from a graph matching and constraint satisfaction perspective a natural and efficient realization in a structured connectionist network can be found.