YES

We show the termination of the TRS R:

  app(app(app(consif(),true()),x),ys) -> app(app(cons(),x),ys)
  app(app(app(consif(),false()),x),ys) -> ys
  app(app(filter(),f),nil()) -> nil()
  app(app(filter(),f),app(app(cons(),x),xs)) -> app(app(app(consif(),app(f,x)),x),app(app(filter(),f),xs))

-- SCC decomposition.

Consider the dependency pair problem (P, R), where P consists of

p1: app#(app(app(consif(),true()),x),ys) -> app#(app(cons(),x),ys)
p2: app#(app(app(consif(),true()),x),ys) -> app#(cons(),x)
p3: app#(app(filter(),f),app(app(cons(),x),xs)) -> app#(app(app(consif(),app(f,x)),x),app(app(filter(),f),xs))
p4: app#(app(filter(),f),app(app(cons(),x),xs)) -> app#(app(consif(),app(f,x)),x)
p5: app#(app(filter(),f),app(app(cons(),x),xs)) -> app#(consif(),app(f,x))
p6: app#(app(filter(),f),app(app(cons(),x),xs)) -> app#(f,x)
p7: app#(app(filter(),f),app(app(cons(),x),xs)) -> app#(app(filter(),f),xs)

and R consists of:

r1: app(app(app(consif(),true()),x),ys) -> app(app(cons(),x),ys)
r2: app(app(app(consif(),false()),x),ys) -> ys
r3: app(app(filter(),f),nil()) -> nil()
r4: app(app(filter(),f),app(app(cons(),x),xs)) -> app(app(app(consif(),app(f,x)),x),app(app(filter(),f),xs))

The estimated dependency graph contains the following SCCs:

  {p6, p7}


-- Reduction pair.

Consider the dependency pair problem (P, R), where P consists of

p1: app#(app(filter(),f),app(app(cons(),x),xs)) -> app#(app(filter(),f),xs)
p2: app#(app(filter(),f),app(app(cons(),x),xs)) -> app#(f,x)

and R consists of:

r1: app(app(app(consif(),true()),x),ys) -> app(app(cons(),x),ys)
r2: app(app(app(consif(),false()),x),ys) -> ys
r3: app(app(filter(),f),nil()) -> nil()
r4: app(app(filter(),f),app(app(cons(),x),xs)) -> app(app(app(consif(),app(f,x)),x),app(app(filter(),f),xs))

The set of usable rules consists of

  (no rules)

Take the reduction pair:

  lexicographic combination of reduction pairs:
  
    1. lexicographic path order with precedence:
    
      precedence:
      
        app > filter > app# > cons
      
      argument filter:
    
        pi(app#) = [2]
        pi(app) = [1, 2]
        pi(filter) = []
        pi(cons) = []
    
    2. matrix interpretations:
    
      carrier: N^1
      order: standard order
      interpretations:
        app#_A(x1,x2) = 0
        app_A(x1,x2) = x2 + 1
        filter_A() = 1
        cons_A() = 0
    

The next rules are strictly ordered:

  p1, p2

We remove them from the problem.  Then no dependency pair remains.