scholarly journals Context-sensitive Innermost Reachability is Decidable for Linear Right-shallow Term Rewriting Systems

2009 ◽  
Vol 2 ◽  
pp. 162-174
Author(s):  
Yoshiharu Kojima ◽  
Masahiko Sakai ◽  
Naoki Nishida ◽  
Keiichirou Kusakari ◽  
Toshiki Sakabe
2011 ◽  
Vol 4 ◽  
pp. 193-216 ◽  
Author(s):  
Yoshiharu Kojima ◽  
Masahiko Sakai ◽  
Naoki Nishida ◽  
Keiichirou Kusakari ◽  
Toshiki Sakabe

Author(s):  
Salvador Lucas

AbstractContext-sensitive rewriting is a restriction of rewriting where reduction steps are allowed on specific arguments $$\mu (f)\subseteq \{1,\ldots ,k\}$$ μ ( f ) ⊆ { 1 , … , k } of k-ary function symbols f only. Terms which cannot be further rewritten in this way are called $$\mu $$ μ -normal forms. For left-linear term rewriting systems (TRSs), the so-called normalization via$$\mu $$ μ -normalization procedure provides a systematic way to obtain normal forms by the stepwise computation and combination of intermediate $$\mu $$ μ -normal forms. In this paper, we show how to obtain bounds on the derivational complexity of computations using this procedure by using bounds on the derivational complexity of context-sensitive rewriting. Two main applications are envisaged: Normalization via $$\mu $$ μ -normalization can be used with non-terminating TRSs where the procedure still terminates; on the other hand, it can be used to improve on bounds of derivational complexity of terminating TRSs as it discards many rewritings.


1998 ◽  
Vol 208 (1-2) ◽  
pp. 87-110 ◽  
Author(s):  
Masahiko Sakai ◽  
Yoshihito Toyama

2002 ◽  
Vol 13 (06) ◽  
pp. 873-887
Author(s):  
NADIA NEDJAH ◽  
LUIZA DE MACEDO MOURELLE

We compile pattern matching for overlapping patterns in term rewriting systems into a minimal, tree matching automata. The use of directed acyclic graphs that shares all the isomorphic subautomata allows us to reduce space requirements. These are duplicated in the tree automaton. We design an efficient method to identify such subautomata and avoid duplicating their construction while generating the dag automaton. We compute some bounds on the size of the automata, thereby improving on previously known equivalent bounds for the tree automaton.


1995 ◽  
Vol 152 (2) ◽  
pp. 285-303
Author(s):  
Paola Inverardi ◽  
Monica Nesi

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