YES We show the termination of the TRS R: from(X) -> cons(X,n__from(n__s(X))) first(|0|(),Z) -> nil() first(s(X),cons(Y,Z)) -> cons(Y,n__first(X,activate(Z))) sel(|0|(),cons(X,Z)) -> X sel(s(X),cons(Y,Z)) -> sel(X,activate(Z)) from(X) -> n__from(X) s(X) -> n__s(X) first(X1,X2) -> n__first(X1,X2) activate(n__from(X)) -> from(activate(X)) activate(n__s(X)) -> s(activate(X)) activate(n__first(X1,X2)) -> first(activate(X1),activate(X2)) activate(X) -> X -- SCC decomposition. Consider the dependency pair problem (P, R), where P consists of p1: first#(s(X),cons(Y,Z)) -> activate#(Z) p2: sel#(s(X),cons(Y,Z)) -> sel#(X,activate(Z)) p3: sel#(s(X),cons(Y,Z)) -> activate#(Z) p4: activate#(n__from(X)) -> from#(activate(X)) p5: activate#(n__from(X)) -> activate#(X) p6: activate#(n__s(X)) -> s#(activate(X)) p7: activate#(n__s(X)) -> activate#(X) p8: activate#(n__first(X1,X2)) -> first#(activate(X1),activate(X2)) p9: activate#(n__first(X1,X2)) -> activate#(X1) p10: activate#(n__first(X1,X2)) -> activate#(X2) and R consists of: r1: from(X) -> cons(X,n__from(n__s(X))) r2: first(|0|(),Z) -> nil() r3: first(s(X),cons(Y,Z)) -> cons(Y,n__first(X,activate(Z))) r4: sel(|0|(),cons(X,Z)) -> X r5: sel(s(X),cons(Y,Z)) -> sel(X,activate(Z)) r6: from(X) -> n__from(X) r7: s(X) -> n__s(X) r8: first(X1,X2) -> n__first(X1,X2) r9: activate(n__from(X)) -> from(activate(X)) r10: activate(n__s(X)) -> s(activate(X)) r11: activate(n__first(X1,X2)) -> first(activate(X1),activate(X2)) r12: activate(X) -> X The estimated dependency graph contains the following SCCs: {p2} {p1, p5, p7, p8, p9, p10} -- Reduction pair. Consider the dependency pair problem (P, R), where P consists of p1: sel#(s(X),cons(Y,Z)) -> sel#(X,activate(Z)) and R consists of: r1: from(X) -> cons(X,n__from(n__s(X))) r2: first(|0|(),Z) -> nil() r3: first(s(X),cons(Y,Z)) -> cons(Y,n__first(X,activate(Z))) r4: sel(|0|(),cons(X,Z)) -> X r5: sel(s(X),cons(Y,Z)) -> sel(X,activate(Z)) r6: from(X) -> n__from(X) r7: s(X) -> n__s(X) r8: first(X1,X2) -> n__first(X1,X2) r9: activate(n__from(X)) -> from(activate(X)) r10: activate(n__s(X)) -> s(activate(X)) r11: activate(n__first(X1,X2)) -> first(activate(X1),activate(X2)) r12: activate(X) -> X The set of usable rules consists of r1, r2, r3, r6, r7, r8, r9, r10, r11, r12 Take the reduction pair: weighted path order base order: matrix interpretations: carrier: N^2 order: standard order interpretations: sel#_A(x1,x2) = ((0,1),(0,0)) x1 + (5,3) s_A(x1) = x1 + (2,2) cons_A(x1,x2) = ((1,0),(0,0)) x2 + (7,7) activate_A(x1) = ((1,1),(0,1)) x1 + (6,4) from_A(x1) = (9,7) n__from_A(x1) = (1,4) n__s_A(x1) = x1 + (1,2) first_A(x1,x2) = ((0,1),(0,1)) x2 + (4,0) |0|_A() = (1,1) nil_A() = (2,0) n__first_A(x1,x2) = ((0,0),(0,1)) x2 + (3,0) precedence: s = cons = activate = from = n__s = first = |0| > nil > sel# > n__from = n__first partial status: pi(sel#) = [] pi(s) = [] pi(cons) = [] pi(activate) = [] pi(from) = [] pi(n__from) = [] pi(n__s) = [] pi(first) = [] pi(|0|) = [] pi(nil) = [] pi(n__first) = [] The next rules are strictly ordered: p1 We remove them from the problem. Then no dependency pair remains. -- Reduction pair. Consider the dependency pair problem (P, R), where P consists of p1: first#(s(X),cons(Y,Z)) -> activate#(Z) p2: activate#(n__first(X1,X2)) -> activate#(X2) p3: activate#(n__first(X1,X2)) -> activate#(X1) p4: activate#(n__first(X1,X2)) -> first#(activate(X1),activate(X2)) p5: activate#(n__s(X)) -> activate#(X) p6: activate#(n__from(X)) -> activate#(X) and R consists of: r1: from(X) -> cons(X,n__from(n__s(X))) r2: first(|0|(),Z) -> nil() r3: first(s(X),cons(Y,Z)) -> cons(Y,n__first(X,activate(Z))) r4: sel(|0|(),cons(X,Z)) -> X r5: sel(s(X),cons(Y,Z)) -> sel(X,activate(Z)) r6: from(X) -> n__from(X) r7: s(X) -> n__s(X) r8: first(X1,X2) -> n__first(X1,X2) r9: activate(n__from(X)) -> from(activate(X)) r10: activate(n__s(X)) -> s(activate(X)) r11: activate(n__first(X1,X2)) -> first(activate(X1),activate(X2)) r12: activate(X) -> X The set of usable rules consists of r1, r2, r3, r6, r7, r8, r9, r10, r11, r12 Take the reduction pair: weighted path order base order: matrix interpretations: carrier: N^2 order: standard order interpretations: first#_A(x1,x2) = ((1,0),(1,0)) x2 + (3,3) s_A(x1) = ((1,0),(0,0)) x1 cons_A(x1,x2) = x2 activate#_A(x1) = ((1,0),(1,0)) x1 + (2,2) n__first_A(x1,x2) = ((1,0),(1,0)) x1 + ((1,0),(1,0)) x2 + (2,2) activate_A(x1) = x1 + (0,1) n__s_A(x1) = ((1,0),(0,0)) x1 n__from_A(x1) = x1 + (1,1) from_A(x1) = x1 + (1,1) first_A(x1,x2) = ((1,0),(1,0)) x1 + ((1,0),(1,0)) x2 + (2,2) |0|_A() = (0,1) nil_A() = (1,2) precedence: first# > nil > activate > from > activate# = n__first = n__from = first > cons > |0| > s = n__s partial status: pi(first#) = [] pi(s) = [] pi(cons) = [] pi(activate#) = [] pi(n__first) = [] pi(activate) = [1] pi(n__s) = [] pi(n__from) = [] pi(from) = [] pi(first) = [] pi(|0|) = [] pi(nil) = [] The next rules are strictly ordered: p1 We remove them from the problem. -- SCC decomposition. Consider the dependency pair problem (P, R), where P consists of p1: activate#(n__first(X1,X2)) -> activate#(X2) p2: activate#(n__first(X1,X2)) -> activate#(X1) p3: activate#(n__first(X1,X2)) -> first#(activate(X1),activate(X2)) p4: activate#(n__s(X)) -> activate#(X) p5: activate#(n__from(X)) -> activate#(X) and R consists of: r1: from(X) -> cons(X,n__from(n__s(X))) r2: first(|0|(),Z) -> nil() r3: first(s(X),cons(Y,Z)) -> cons(Y,n__first(X,activate(Z))) r4: sel(|0|(),cons(X,Z)) -> X r5: sel(s(X),cons(Y,Z)) -> sel(X,activate(Z)) r6: from(X) -> n__from(X) r7: s(X) -> n__s(X) r8: first(X1,X2) -> n__first(X1,X2) r9: activate(n__from(X)) -> from(activate(X)) r10: activate(n__s(X)) -> s(activate(X)) r11: activate(n__first(X1,X2)) -> first(activate(X1),activate(X2)) r12: activate(X) -> X The estimated dependency graph contains the following SCCs: {p1, p2, p4, p5} -- Reduction pair. Consider the dependency pair problem (P, R), where P consists of p1: activate#(n__first(X1,X2)) -> activate#(X2) p2: activate#(n__from(X)) -> activate#(X) p3: activate#(n__s(X)) -> activate#(X) p4: activate#(n__first(X1,X2)) -> activate#(X1) and R consists of: r1: from(X) -> cons(X,n__from(n__s(X))) r2: first(|0|(),Z) -> nil() r3: first(s(X),cons(Y,Z)) -> cons(Y,n__first(X,activate(Z))) r4: sel(|0|(),cons(X,Z)) -> X r5: sel(s(X),cons(Y,Z)) -> sel(X,activate(Z)) r6: from(X) -> n__from(X) r7: s(X) -> n__s(X) r8: first(X1,X2) -> n__first(X1,X2) r9: activate(n__from(X)) -> from(activate(X)) r10: activate(n__s(X)) -> s(activate(X)) r11: activate(n__first(X1,X2)) -> first(activate(X1),activate(X2)) r12: activate(X) -> X The set of usable rules consists of (no rules) Take the reduction pair: weighted path order base order: matrix interpretations: carrier: N^2 order: standard order interpretations: activate#_A(x1) = ((0,1),(0,0)) x1 + (2,2) n__first_A(x1,x2) = ((0,0),(0,1)) x1 + x2 + (1,1) n__from_A(x1) = x1 + (1,1) n__s_A(x1) = ((0,0),(0,1)) x1 + (1,1) precedence: activate# = n__first > n__from = n__s partial status: pi(activate#) = [] pi(n__first) = [] pi(n__from) = [1] pi(n__s) = [] The next rules are strictly ordered: p2 We remove them from the problem. -- SCC decomposition. Consider the dependency pair problem (P, R), where P consists of p1: activate#(n__first(X1,X2)) -> activate#(X2) p2: activate#(n__s(X)) -> activate#(X) p3: activate#(n__first(X1,X2)) -> activate#(X1) and R consists of: r1: from(X) -> cons(X,n__from(n__s(X))) r2: first(|0|(),Z) -> nil() r3: first(s(X),cons(Y,Z)) -> cons(Y,n__first(X,activate(Z))) r4: sel(|0|(),cons(X,Z)) -> X r5: sel(s(X),cons(Y,Z)) -> sel(X,activate(Z)) r6: from(X) -> n__from(X) r7: s(X) -> n__s(X) r8: first(X1,X2) -> n__first(X1,X2) r9: activate(n__from(X)) -> from(activate(X)) r10: activate(n__s(X)) -> s(activate(X)) r11: activate(n__first(X1,X2)) -> first(activate(X1),activate(X2)) r12: activate(X) -> X The estimated dependency graph contains the following SCCs: {p1, p2, p3} -- Reduction pair. Consider the dependency pair problem (P, R), where P consists of p1: activate#(n__first(X1,X2)) -> activate#(X2) p2: activate#(n__first(X1,X2)) -> activate#(X1) p3: activate#(n__s(X)) -> activate#(X) and R consists of: r1: from(X) -> cons(X,n__from(n__s(X))) r2: first(|0|(),Z) -> nil() r3: first(s(X),cons(Y,Z)) -> cons(Y,n__first(X,activate(Z))) r4: sel(|0|(),cons(X,Z)) -> X r5: sel(s(X),cons(Y,Z)) -> sel(X,activate(Z)) r6: from(X) -> n__from(X) r7: s(X) -> n__s(X) r8: first(X1,X2) -> n__first(X1,X2) r9: activate(n__from(X)) -> from(activate(X)) r10: activate(n__s(X)) -> s(activate(X)) r11: activate(n__first(X1,X2)) -> first(activate(X1),activate(X2)) r12: activate(X) -> X The set of usable rules consists of (no rules) Take the reduction pair: weighted path order base order: matrix interpretations: carrier: N^2 order: standard order interpretations: activate#_A(x1) = ((1,1),(0,1)) x1 + (2,2) n__first_A(x1,x2) = x1 + x2 + (1,1) n__s_A(x1) = ((0,0),(1,1)) x1 + (1,1) precedence: activate# = n__first = n__s partial status: pi(activate#) = [] pi(n__first) = [] pi(n__s) = [] The next rules are strictly ordered: p2 We remove them from the problem. -- SCC decomposition. Consider the dependency pair problem (P, R), where P consists of p1: activate#(n__first(X1,X2)) -> activate#(X2) p2: activate#(n__s(X)) -> activate#(X) and R consists of: r1: from(X) -> cons(X,n__from(n__s(X))) r2: first(|0|(),Z) -> nil() r3: first(s(X),cons(Y,Z)) -> cons(Y,n__first(X,activate(Z))) r4: sel(|0|(),cons(X,Z)) -> X r5: sel(s(X),cons(Y,Z)) -> sel(X,activate(Z)) r6: from(X) -> n__from(X) r7: s(X) -> n__s(X) r8: first(X1,X2) -> n__first(X1,X2) r9: activate(n__from(X)) -> from(activate(X)) r10: activate(n__s(X)) -> s(activate(X)) r11: activate(n__first(X1,X2)) -> first(activate(X1),activate(X2)) r12: activate(X) -> X The estimated dependency graph contains the following SCCs: {p1, p2} -- Reduction pair. Consider the dependency pair problem (P, R), where P consists of p1: activate#(n__first(X1,X2)) -> activate#(X2) p2: activate#(n__s(X)) -> activate#(X) and R consists of: r1: from(X) -> cons(X,n__from(n__s(X))) r2: first(|0|(),Z) -> nil() r3: first(s(X),cons(Y,Z)) -> cons(Y,n__first(X,activate(Z))) r4: sel(|0|(),cons(X,Z)) -> X r5: sel(s(X),cons(Y,Z)) -> sel(X,activate(Z)) r6: from(X) -> n__from(X) r7: s(X) -> n__s(X) r8: first(X1,X2) -> n__first(X1,X2) r9: activate(n__from(X)) -> from(activate(X)) r10: activate(n__s(X)) -> s(activate(X)) r11: activate(n__first(X1,X2)) -> first(activate(X1),activate(X2)) r12: activate(X) -> X The set of usable rules consists of (no rules) Take the reduction pair: weighted path order base order: matrix interpretations: carrier: N^2 order: standard order interpretations: activate#_A(x1) = ((1,0),(0,0)) x1 + (2,2) n__first_A(x1,x2) = ((1,1),(1,1)) x1 + x2 + (1,1) n__s_A(x1) = ((1,0),(0,0)) x1 + (1,1) precedence: activate# = n__first = n__s partial status: pi(activate#) = [] pi(n__first) = [2] pi(n__s) = [] The next rules are strictly ordered: p1 We remove them from the problem. -- SCC decomposition. Consider the dependency pair problem (P, R), where P consists of p1: activate#(n__s(X)) -> activate#(X) and R consists of: r1: from(X) -> cons(X,n__from(n__s(X))) r2: first(|0|(),Z) -> nil() r3: first(s(X),cons(Y,Z)) -> cons(Y,n__first(X,activate(Z))) r4: sel(|0|(),cons(X,Z)) -> X r5: sel(s(X),cons(Y,Z)) -> sel(X,activate(Z)) r6: from(X) -> n__from(X) r7: s(X) -> n__s(X) r8: first(X1,X2) -> n__first(X1,X2) r9: activate(n__from(X)) -> from(activate(X)) r10: activate(n__s(X)) -> s(activate(X)) r11: activate(n__first(X1,X2)) -> first(activate(X1),activate(X2)) r12: activate(X) -> X The estimated dependency graph contains the following SCCs: {p1} -- Reduction pair. Consider the dependency pair problem (P, R), where P consists of p1: activate#(n__s(X)) -> activate#(X) and R consists of: r1: from(X) -> cons(X,n__from(n__s(X))) r2: first(|0|(),Z) -> nil() r3: first(s(X),cons(Y,Z)) -> cons(Y,n__first(X,activate(Z))) r4: sel(|0|(),cons(X,Z)) -> X r5: sel(s(X),cons(Y,Z)) -> sel(X,activate(Z)) r6: from(X) -> n__from(X) r7: s(X) -> n__s(X) r8: first(X1,X2) -> n__first(X1,X2) r9: activate(n__from(X)) -> from(activate(X)) r10: activate(n__s(X)) -> s(activate(X)) r11: activate(n__first(X1,X2)) -> first(activate(X1),activate(X2)) r12: activate(X) -> X The set of usable rules consists of (no rules) Take the reduction pair: weighted path order base order: matrix interpretations: carrier: N^2 order: standard order interpretations: activate#_A(x1) = ((1,0),(1,0)) x1 + (2,2) n__s_A(x1) = ((1,0),(0,0)) x1 + (1,1) precedence: activate# = n__s partial status: pi(activate#) = [] pi(n__s) = [] The next rules are strictly ordered: p1 We remove them from the problem. Then no dependency pair remains.