YES
We show the termination of the TRS R:

  app(app(|:|(),app(app(|:|(),x),y)),z) -> app(app(|:|(),x),app(app(|:|(),y),z))
  app(app(|:|(),app(app(+(),x),y)),z) -> app(app(+(),app(app(|:|(),x),z)),app(app(|:|(),y),z))
  app(app(|:|(),z),app(app(+(),x),app(f,y))) -> app(app(|:|(),app(app(g(),z),y)),app(app(+(),x),a()))
  app(app(map(),f),nil()) -> nil()
  app(app(map(),f),app(app(cons(),x),xs)) -> app(app(cons(),app(f,x)),app(app(map(),f),xs))
  app(app(filter(),f),nil()) -> nil()
  app(app(filter(),f),app(app(cons(),x),xs)) -> app(app(app(app(filter2(),app(f,x)),f),x),xs)
  app(app(app(app(filter2(),true()),f),x),xs) -> app(app(cons(),x),app(app(filter(),f),xs))
  app(app(app(app(filter2(),false()),f),x),xs) -> app(app(filter(),f),xs)


-- SCC decomposition.

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

p1: app#(app(|:|(),app(app(|:|(),x),y)),z) -> app#(app(|:|(),x),app(app(|:|(),y),z))
p2: app#(app(|:|(),app(app(|:|(),x),y)),z) -> app#(app(|:|(),y),z)
p3: app#(app(|:|(),app(app(|:|(),x),y)),z) -> app#(|:|(),y)
p4: app#(app(|:|(),app(app(+(),x),y)),z) -> app#(app(+(),app(app(|:|(),x),z)),app(app(|:|(),y),z))
p5: app#(app(|:|(),app(app(+(),x),y)),z) -> app#(+(),app(app(|:|(),x),z))
p6: app#(app(|:|(),app(app(+(),x),y)),z) -> app#(app(|:|(),x),z)
p7: app#(app(|:|(),app(app(+(),x),y)),z) -> app#(|:|(),x)
p8: app#(app(|:|(),app(app(+(),x),y)),z) -> app#(app(|:|(),y),z)
p9: app#(app(|:|(),app(app(+(),x),y)),z) -> app#(|:|(),y)
p10: app#(app(|:|(),z),app(app(+(),x),app(f,y))) -> app#(app(|:|(),app(app(g(),z),y)),app(app(+(),x),a()))
p11: app#(app(|:|(),z),app(app(+(),x),app(f,y))) -> app#(|:|(),app(app(g(),z),y))
p12: app#(app(|:|(),z),app(app(+(),x),app(f,y))) -> app#(app(g(),z),y)
p13: app#(app(|:|(),z),app(app(+(),x),app(f,y))) -> app#(g(),z)
p14: app#(app(|:|(),z),app(app(+(),x),app(f,y))) -> app#(app(+(),x),a())
p15: app#(app(map(),f),app(app(cons(),x),xs)) -> app#(app(cons(),app(f,x)),app(app(map(),f),xs))
p16: app#(app(map(),f),app(app(cons(),x),xs)) -> app#(cons(),app(f,x))
p17: app#(app(map(),f),app(app(cons(),x),xs)) -> app#(f,x)
p18: app#(app(map(),f),app(app(cons(),x),xs)) -> app#(app(map(),f),xs)
p19: app#(app(filter(),f),app(app(cons(),x),xs)) -> app#(app(app(app(filter2(),app(f,x)),f),x),xs)
p20: app#(app(filter(),f),app(app(cons(),x),xs)) -> app#(app(app(filter2(),app(f,x)),f),x)
p21: app#(app(filter(),f),app(app(cons(),x),xs)) -> app#(app(filter2(),app(f,x)),f)
p22: app#(app(filter(),f),app(app(cons(),x),xs)) -> app#(filter2(),app(f,x))
p23: app#(app(filter(),f),app(app(cons(),x),xs)) -> app#(f,x)
p24: app#(app(app(app(filter2(),true()),f),x),xs) -> app#(app(cons(),x),app(app(filter(),f),xs))
p25: app#(app(app(app(filter2(),true()),f),x),xs) -> app#(cons(),x)
p26: app#(app(app(app(filter2(),true()),f),x),xs) -> app#(app(filter(),f),xs)
p27: app#(app(app(app(filter2(),true()),f),x),xs) -> app#(filter(),f)
p28: app#(app(app(app(filter2(),false()),f),x),xs) -> app#(app(filter(),f),xs)
p29: app#(app(app(app(filter2(),false()),f),x),xs) -> app#(filter(),f)

and R consists of:

r1: app(app(|:|(),app(app(|:|(),x),y)),z) -> app(app(|:|(),x),app(app(|:|(),y),z))
r2: app(app(|:|(),app(app(+(),x),y)),z) -> app(app(+(),app(app(|:|(),x),z)),app(app(|:|(),y),z))
r3: app(app(|:|(),z),app(app(+(),x),app(f,y))) -> app(app(|:|(),app(app(g(),z),y)),app(app(+(),x),a()))
r4: app(app(map(),f),nil()) -> nil()
r5: app(app(map(),f),app(app(cons(),x),xs)) -> app(app(cons(),app(f,x)),app(app(map(),f),xs))
r6: app(app(filter(),f),nil()) -> nil()
r7: app(app(filter(),f),app(app(cons(),x),xs)) -> app(app(app(app(filter2(),app(f,x)),f),x),xs)
r8: app(app(app(app(filter2(),true()),f),x),xs) -> app(app(cons(),x),app(app(filter(),f),xs))
r9: app(app(app(app(filter2(),false()),f),x),xs) -> app(app(filter(),f),xs)

The estimated dependency graph contains the following SCCs:

  {p17, p18, p19, p23, p26, p28}
  {p1, p2, p6, p8}


-- Reduction pair.

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

p1: app#(app(filter(),f),app(app(cons(),x),xs)) -> app#(f,x)
p2: app#(app(app(app(filter2(),false()),f),x),xs) -> app#(app(filter(),f),xs)
p3: app#(app(filter(),f),app(app(cons(),x),xs)) -> app#(app(app(app(filter2(),app(f,x)),f),x),xs)
p4: app#(app(app(app(filter2(),true()),f),x),xs) -> app#(app(filter(),f),xs)
p5: app#(app(map(),f),app(app(cons(),x),xs)) -> app#(app(map(),f),xs)
p6: app#(app(map(),f),app(app(cons(),x),xs)) -> app#(f,x)

and R consists of:

r1: app(app(|:|(),app(app(|:|(),x),y)),z) -> app(app(|:|(),x),app(app(|:|(),y),z))
r2: app(app(|:|(),app(app(+(),x),y)),z) -> app(app(+(),app(app(|:|(),x),z)),app(app(|:|(),y),z))
r3: app(app(|:|(),z),app(app(+(),x),app(f,y))) -> app(app(|:|(),app(app(g(),z),y)),app(app(+(),x),a()))
r4: app(app(map(),f),nil()) -> nil()
r5: app(app(map(),f),app(app(cons(),x),xs)) -> app(app(cons(),app(f,x)),app(app(map(),f),xs))
r6: app(app(filter(),f),nil()) -> nil()
r7: app(app(filter(),f),app(app(cons(),x),xs)) -> app(app(app(app(filter2(),app(f,x)),f),x),xs)
r8: app(app(app(app(filter2(),true()),f),x),xs) -> app(app(cons(),x),app(app(filter(),f),xs))
r9: app(app(app(app(filter2(),false()),f),x),xs) -> app(app(filter(),f),xs)

The set of usable rules consists of

  r6

Take the reduction pair:

  generalized weighted path order (>=MG, >G)
  
    base order 1:
  
      matrix interpretation with standard point-wise order:
      
        carrier: N^1
        order: standard order
        interpretations:
          app#_A(x1,x2) = x2 + 8
          app_A(x1,x2) = x1 + x2 + 6
          filter_A() = 5
          cons_A() = 3
          filter2_A() = 4
          false_A() = 6
          true_A() = 6
          map_A() = 5
          nil_A() = 1
  
    base order 2:
  
      marked-algebra reduction triple (>=A, >=A!, >A!):
      
        matrix interpretation with standard point-wise order:
        
          carrier: N^1
          order: standard order
          interpretations:
            app#_A(x1,x2) = 0
            app_A(x1,x2) = x2 + 4
            filter_A() = 7
            cons_A() = 6
            filter2_A() = 1
            false_A() = 1
            true_A() = 1
            map_A() = 1
            nil_A() = 1
            app#!_A(x1,x2) = x2 + 4
            app!_A(x1,x2) = 9
            filter!_A() = 2
            cons!_A() = 0
            filter2!_A() = 1
            false!_A() = 10
            true!_A() = 3
            map!_A() = 2
            nil!_A() = 1
  
    partial status:
  
      pi(app#) = []
      pi(app) = [1]
      pi(filter) = []
      pi(cons) = []
      pi(filter2) = []
      pi(false) = []
      pi(true) = []
      pi(map) = []
      pi(nil) = []

The following rules are removed:

  p1, p3, p5, p6



-- SCC decomposition.

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

p1: app#(app(app(app(filter2(),false()),f),x),xs) -> app#(app(filter(),f),xs)
p2: app#(app(app(app(filter2(),true()),f),x),xs) -> app#(app(filter(),f),xs)

and R consists of:

r1: app(app(|:|(),app(app(|:|(),x),y)),z) -> app(app(|:|(),x),app(app(|:|(),y),z))
r2: app(app(|:|(),app(app(+(),x),y)),z) -> app(app(+(),app(app(|:|(),x),z)),app(app(|:|(),y),z))
r3: app(app(|:|(),z),app(app(+(),x),app(f,y))) -> app(app(|:|(),app(app(g(),z),y)),app(app(+(),x),a()))
r4: app(app(map(),f),nil()) -> nil()
r5: app(app(map(),f),app(app(cons(),x),xs)) -> app(app(cons(),app(f,x)),app(app(map(),f),xs))
r6: app(app(filter(),f),nil()) -> nil()
r7: app(app(filter(),f),app(app(cons(),x),xs)) -> app(app(app(app(filter2(),app(f,x)),f),x),xs)
r8: app(app(app(app(filter2(),true()),f),x),xs) -> app(app(cons(),x),app(app(filter(),f),xs))
r9: app(app(app(app(filter2(),false()),f),x),xs) -> app(app(filter(),f),xs)

The estimated dependency graph contains the following SCCs:

  (no SCCs)

-- Reduction pair.

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

p1: app#(app(|:|(),app(app(|:|(),x),y)),z) -> app#(app(|:|(),x),app(app(|:|(),y),z))
p2: app#(app(|:|(),app(app(+(),x),y)),z) -> app#(app(|:|(),y),z)
p3: app#(app(|:|(),app(app(+(),x),y)),z) -> app#(app(|:|(),x),z)
p4: app#(app(|:|(),app(app(|:|(),x),y)),z) -> app#(app(|:|(),y),z)

and R consists of:

r1: app(app(|:|(),app(app(|:|(),x),y)),z) -> app(app(|:|(),x),app(app(|:|(),y),z))
r2: app(app(|:|(),app(app(+(),x),y)),z) -> app(app(+(),app(app(|:|(),x),z)),app(app(|:|(),y),z))
r3: app(app(|:|(),z),app(app(+(),x),app(f,y))) -> app(app(|:|(),app(app(g(),z),y)),app(app(+(),x),a()))
r4: app(app(map(),f),nil()) -> nil()
r5: app(app(map(),f),app(app(cons(),x),xs)) -> app(app(cons(),app(f,x)),app(app(map(),f),xs))
r6: app(app(filter(),f),nil()) -> nil()
r7: app(app(filter(),f),app(app(cons(),x),xs)) -> app(app(app(app(filter2(),app(f,x)),f),x),xs)
r8: app(app(app(app(filter2(),true()),f),x),xs) -> app(app(cons(),x),app(app(filter(),f),xs))
r9: app(app(app(app(filter2(),false()),f),x),xs) -> app(app(filter(),f),xs)

The set of usable rules consists of

  r6

Take the reduction pair:

  generalized weighted path order (>=MG, >G)
  
    base order 1:
  
      matrix interpretation with standard point-wise order:
      
        carrier: N^1
        order: standard order
        interpretations:
          app#_A(x1,x2) = 1
          app_A(x1,x2) = 2
          |:|_A() = 0
          +_A() = 0
          filter_A() = 0
          nil_A() = 1
  
    base order 2:
  
      marked-algebra reduction triple (>=A, >=A!, >A!):
      
        matrix interpretation with standard point-wise order:
        
          carrier: N^1
          order: standard order
          interpretations:
            app#_A(x1,x2) = 0
            app_A(x1,x2) = x1 + x2
            |:|_A() = 0
            +_A() = 1
            filter_A() = 1
            nil_A() = 1
            app#!_A(x1,x2) = x1 + 3
            app!_A(x1,x2) = x2 + 5
            |:|!_A() = 0
            +!_A() = 2
            filter!_A() = 3
            nil!_A() = 4
  
    partial status:
  
      pi(app#) = []
      pi(app) = []
      pi(|:|) = []
      pi(+) = []
      pi(filter) = []
      pi(nil) = []

The following rules are removed:

  p2, p3



-- SCC decomposition.

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

p1: app#(app(|:|(),app(app(|:|(),x),y)),z) -> app#(app(|:|(),x),app(app(|:|(),y),z))
p2: app#(app(|:|(),app(app(|:|(),x),y)),z) -> app#(app(|:|(),y),z)

and R consists of:

r1: app(app(|:|(),app(app(|:|(),x),y)),z) -> app(app(|:|(),x),app(app(|:|(),y),z))
r2: app(app(|:|(),app(app(+(),x),y)),z) -> app(app(+(),app(app(|:|(),x),z)),app(app(|:|(),y),z))
r3: app(app(|:|(),z),app(app(+(),x),app(f,y))) -> app(app(|:|(),app(app(g(),z),y)),app(app(+(),x),a()))
r4: app(app(map(),f),nil()) -> nil()
r5: app(app(map(),f),app(app(cons(),x),xs)) -> app(app(cons(),app(f,x)),app(app(map(),f),xs))
r6: app(app(filter(),f),nil()) -> nil()
r7: app(app(filter(),f),app(app(cons(),x),xs)) -> app(app(app(app(filter2(),app(f,x)),f),x),xs)
r8: app(app(app(app(filter2(),true()),f),x),xs) -> app(app(cons(),x),app(app(filter(),f),xs))
r9: app(app(app(app(filter2(),false()),f),x),xs) -> app(app(filter(),f),xs)

The estimated dependency graph contains the following SCCs:

  {p1, p2}


-- Reduction pair.

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

p1: app#(app(|:|(),app(app(|:|(),x),y)),z) -> app#(app(|:|(),x),app(app(|:|(),y),z))
p2: app#(app(|:|(),app(app(|:|(),x),y)),z) -> app#(app(|:|(),y),z)

and R consists of:

r1: app(app(|:|(),app(app(|:|(),x),y)),z) -> app(app(|:|(),x),app(app(|:|(),y),z))
r2: app(app(|:|(),app(app(+(),x),y)),z) -> app(app(+(),app(app(|:|(),x),z)),app(app(|:|(),y),z))
r3: app(app(|:|(),z),app(app(+(),x),app(f,y))) -> app(app(|:|(),app(app(g(),z),y)),app(app(+(),x),a()))
r4: app(app(map(),f),nil()) -> nil()
r5: app(app(map(),f),app(app(cons(),x),xs)) -> app(app(cons(),app(f,x)),app(app(map(),f),xs))
r6: app(app(filter(),f),nil()) -> nil()
r7: app(app(filter(),f),app(app(cons(),x),xs)) -> app(app(app(app(filter2(),app(f,x)),f),x),xs)
r8: app(app(app(app(filter2(),true()),f),x),xs) -> app(app(cons(),x),app(app(filter(),f),xs))
r9: app(app(app(app(filter2(),false()),f),x),xs) -> app(app(filter(),f),xs)

The set of usable rules consists of

  r6

Take the reduction pair:

  generalized weighted path order (>=MG, >G)
  
    base order 1:
  
      matrix interpretation with standard point-wise order:
      
        carrier: N^1
        order: standard order
        interpretations:
          app#_A(x1,x2) = x1
          app_A(x1,x2) = 5
          |:|_A() = 6
          filter_A() = 3
          nil_A() = 2
  
    base order 2:
  
      marked-algebra reduction triple (>=A, >=A!, >A!):
      
        matrix interpretation with standard point-wise order:
        
          carrier: N^1
          order: standard order
          interpretations:
            app#_A(x1,x2) = 0
            app_A(x1,x2) = x1 + x2 + 2
            |:|_A() = 1
            filter_A() = 4
            nil_A() = 0
            app#!_A(x1,x2) = 5
            app!_A(x1,x2) = x2 + 4
            |:|!_A() = 15
            filter!_A() = 2
            nil!_A() = 4
  
    partial status:
  
      pi(app#) = [1]
      pi(app) = []
      pi(|:|) = []
      pi(filter) = []
      pi(nil) = []

The following rules are removed:

  p1, p2

Then no dependency pair remains.