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[悬赏] 求教:海龟的遗产传递问题

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发表于 2008-5-3 20:47:29 | 显示全部楼层 |阅读模式
请问 我现在希望设计海龟死后他的财产可以以一定的比例留给后代。这些海龟如果代表的是穷人则它死后(年龄大预期值)会生出3个孩子,其生前的财产的90%均分给其孩子。若海龟是富裕的,其死后有随机1~2个孩子,财产已70%均分。请问大家如果加到下述程序中怎么实现9 R% B+ ~# M3 c9 }
globals" \" d0 |4 F0 @" a" T
[
- V* Z+ v6 U) X' V) L  max-grain   
* n% l4 k& f0 W& v" k) I* t* E9 l1 K( b; e8 }7 s# {. d; r
]8 g) Y4 }4 G; @

3 T) ^/ J# n+ ]patches-own
+ G7 l, ?3 b) Y[
) U. [* T; G2 e1 J% W( ^8 J  grain-here      4 v: y- b& S0 a& s1 T
  max-grain-here  
. w' s# v3 v  T7 f# X# o]
$ c8 K4 [8 {# T" {' O7 g$ e2 V5 P- C3 ~: h0 N" y
turtles-own0 F' O1 f0 e& Z) @9 Q/ u2 s6 h
[) O6 p- J1 H( o: l2 ?6 M
  age              
5 K' }" R) e, X' ?5 S  wealth         
. v9 c, C" z4 H0 j# Y) C( R  life-expectancy  
( h5 U+ y# g8 ]: M  metabolism      
) N  y* d" }( c/ a1 ^7 a3 @% v  vision
6 I1 s* e7 D: f2 D  inherited         , Q' a8 o  x+ f1 J6 q/ V. ]
]+ u7 q; m! a0 _# [8 @
/ R% G& Q# b5 i/ i/ n$ p
* G8 ~7 y+ _  \$ j0 |8 t* M
to setup
: x' [  `4 T4 K/ ?6 q8 v3 O. r  ca" E+ E0 H2 ?8 ]1 L% u3 D
  set max-grain 50) X$ Q9 t6 j. k  r$ D0 u7 B. G
  setup-patches, l0 V; y8 L; v: ~! I* w* a# z
  setup-turtles! t, U3 z+ `3 t+ }9 O
  setup-plots
! ?6 n  ~3 _9 n* F8 \  update-plots
& r1 \* E% n! ?; `4 L/ x: Cend3 V3 P3 P9 z3 C5 t% p$ m) N
to setup-patches
5 x: Q) f7 W. p9 \  ask patches; M& A) @6 t! S% C
    [ set max-grain-here 0, l" W1 P9 k  k- [- q# M/ J! u
      if (random-float 100.0) <= percent-best-land
" w+ S! v# g7 ^$ ^' e5 v        [ set max-grain-here max-grain
' B: e/ u" S' S$ a7 ~          set grain-here max-grain-here ] ]
" h. q# ?! X! b. m1 a  \  repeat 5; T2 @' {0 F/ [7 s% d6 V1 N
    [ ask patches with [max-grain-here != 0]
2 f4 L( r3 v& O1 q) J; K. S! B3 g, [! }        [ set grain-here max-grain-here ]) F  j$ L  v& h- S1 e2 J/ H4 S
      diffuse grain-here 0.5 ]/ F* l& C0 P5 P) ]8 H
  repeat 10
0 a1 @! u1 s' U    [ diffuse grain-here 0.5]         
0 K- ?6 e- C' u8 p5 d: R  ask patches
' L" t- P+ p: T( b# B# |* \    [ set grain-here floor grain-here    ( m6 @! C0 ?/ e
      set max-grain-here grain-here      4 `9 n* i$ X' C+ a* |5 W
      recolor-patch ]
# {& U$ e. T. h) h" }/ B& Dend3 k) }4 x: j( k6 V6 w
to recolor-patch  
& v: t, U5 U" y  set pcolor scale-color sky grain-here 0 max-grain
& W) o( p" N$ M  R5 S+ ^- i' @end
. ?* }# M4 r3 V! ?/ A# ^1 F$ s5 eto setup-turtles
4 u5 v# S1 j: U) l) \4 S3 v  set-default-shape turtles "person"
4 r1 v/ u4 _6 r7 e2 r2 S  crt num-people
1 a" P# w0 X6 A  Z2 _    [ move-to one-of patches  
  H; W3 I9 S! @: ^2 Y2 x! l      set size 1.5  
' x  u* ?, r: k4 C& [6 m/ H      set-initial-turtle-vars-age0 m0 R0 I& a/ u2 O) ^3 w' |, d
      set-initial-turtle-vars-wealth
1 B5 X$ [  C- a# l/ @0 [; K! b: b      set age random life-expectancy ]5 ^' {/ }) |* c- z3 n& u# A
  recolor-turtles" s; V0 t7 A5 _/ E! t! y0 f
end
% ?! }. m5 K& ~& b7 X' }; ]; K* f5 I# b# e/ N4 C) v4 ]3 R; j
to set-initial-turtle-vars-age
! l4 M- b4 b4 o/ B, R/ c2 G let max-wealth max [wealth] of turtles0 k7 Z9 g) r/ X7 c
   
5 W% P/ P" U: b  w# e! C, J, r     ifelse (wealth <= max-wealth / 3)
( N6 S  }% k# G2 M5 Z9 j        [ set color red - k- o: [7 j7 D7 D
          set age 0
5 f$ r; T6 f2 @+ ~          face one-of neighbors4 # N' m: ?7 m1 ^
          set life-expectancy life-expectancy-min ++ D/ `# a1 O, j& w$ O
                        random life-expectancy-max
( D. ^7 W! n  m( P          set metabolism random 1 + metabolism-low  v% i9 G: P, f6 F; u
          set wealth metabolism + random 30
7 e5 H6 i3 x4 K; y) u# @3 F* a          set vision 1 + random max-vision$ p) T9 t0 L, j2 o: b8 W' P; q
             set wealth  wealth +  Wealth-inherited-low ]  E1 }* Q1 x. R7 a. L6 R) W" @
        [ ifelse (wealth <= (max-wealth * 2 / 3))
6 u$ ^2 c9 J7 s. r! z            [ set color yellow
+ g' M  m! i" C) M1 W. ]              set age 0) f2 a* m! H) O# w3 |  d
              face one-of neighbors4
! L8 k  P8 h& O; R              set life-expectancy life-expectancy-min +
4 d% a2 Y3 ~) l0 p                        random life-expectancy-max + 1
- H2 p2 L% o2 V6 h0 t              set metabolism  1 + random metabolism-mid
6 w! `0 I0 `! g  G" T' p              set wealth metabolism + random 30
5 k( `3 A( |& C              set vision 3 + random max-vision
: @+ y6 |  L4 k                set wealth  wealth + Wealth-inherited-mid]
5 v% r& v$ e. s+ R8 Q            [ set color green " ~, A5 J. \1 ?
              set age 0
! A$ V6 O: [4 u              face one-of neighbors4
4 ?5 d1 `5 B3 N: }7 N% q& q! t              set life-expectancy life-expectancy-min +
# i+ a  v1 d( {3 h' ]7 x2 _, O                        random life-expectancy-max  + 2$ l5 n4 f0 z* z% p. D! k; l
              set metabolism 2 + random metabolism-up
9 H  B9 @' n4 a6 r( ?6 h, H9 b. z              set wealth metabolism + random 30
) ?; {# ~5 y, C5 z* ]- n              set vision 3 + random max-vision; _+ g9 W" G* ^8 G
              set wealth  wealth + Wealth-inherited-up ] ] 1 X- B# ]* R- ]8 U. \, v& R" X
8 q0 b5 ?- G/ z6 K. ~: Q) x( K' t' E. D
end
" n4 M4 K9 [" d) U( I+ v1 O) pto set-initial-turtle-vars-wealth
- h# ?! E0 \3 z. X0 M let max-wealth max [wealth] of turtles
% }1 j2 i1 C9 I& ]+ b3 g          set age 0
5 U2 |- x' f8 _8 @, b% G; O% J* \          face one-of neighbors4 7 a+ |) }  K1 X0 T& f" V8 o9 M  ^
          set life-expectancy life-expectancy-min +
; ], K" D4 t4 S4 \; R+ }                        random life-expectancy-max
) Z  Q/ ?; D' J" \6 q/ I7 V          set metabolism 1 + random metabolism-up' w; ?- _, `; f% V8 b, ]
          set wealth metabolism + random 30+ Y, n5 x9 Z/ g3 \' V
          set vision 1 + random max-vision
. ~) c% x; n- \0 ?' `; u$ W+ Y' r2 Send
0 P( J2 y7 T& f$ D" V' ^+ K' j- \to redistribution
4 @6 ~9 a7 o- F! B' mlet max-wealth max [wealth] of turtles  W) {0 C2 r3 _) u7 Z# G
let min-wealth min [wealth] of turtles
" _# N8 w: Y5 n* mif (wealth <= max-wealth / 3): n: N1 A& S! `, ~0 Y
[set wealth  wealth + Low-income-protection ]. I7 T) ~! }4 Y  I. k$ H
end
# R6 K# {0 v; C( ~; I+ W' r          1 \1 x7 {9 f* S
to recolor-turtles5 G6 q7 u( H* Y) m, R2 _  j
  let max-wealth max [wealth] of turtles
  M6 k" c- t1 b) H; ~/ l" b& G  ask turtles
% Y' s; N+ T$ \0 D# D   [ ifelse (wealth <= max-wealth / 3)
2 @- y6 a1 x' l. v0 @& @        [ set color red ]. }: |* b- ]0 L4 G) n3 ?( H
        [ ifelse (wealth <= (max-wealth * 2 / 3))4 H1 r2 L# ]5 d( u& F* ?
            [ set color yellow ]
. u! i) m$ D- [; [9 p1 i            [ set color green ] ] ]
7 l/ X0 A; ], L: V ask turtles [ifelse show-wealth?
' T' Z# i+ H) \    [ set label wealth ]
5 p1 Y  H* g- H/ W# q" j4 @$ w6 a    [ set label "" ]]# e* c) j4 m! X+ {4 ^% C4 {
end( K0 I  }3 W; S6 `

$ g) M- w& M! }* E: l. cto go# J2 c' b. L4 C
  ask turtles; {1 F: h. P0 i$ N2 X5 q1 z
    [ turn-towards-grain ]  
6 a$ I+ u; j$ E4 Q4 s  harvest$ J8 l( v! u8 d: F/ O! {
  ask turtles. K+ x2 p, s+ g2 Q6 _- J9 C
    [ move-eat-age-die ]
* P/ B4 K. c2 I2 d' t: ]* S  recolor-turtles
" ], ?; l$ B  ?+ I( I2 ]2 Z$ _! j: \% k  if ticks mod grain-growth-interval = 0
8 e0 D: A. `0 q    [ ask patches [ grow-grain ] ]" B: A4 A/ B, m, x2 b
   
, D. F$ ]" I9 I8 U  if ticks mod 11 = 07 l, U9 G$ ~, V6 E1 u5 R; J
  [ask turtles# \* k6 z5 e1 H3 D
  [ redistribution ]]! d9 N& {, Z+ h6 P  D/ H0 q5 |
  if ticks mod 5 = 0
. C, A$ M. m/ n, J6 \2 G   [ask turtles
+ v: L. ~' c5 _, f" C- {( Q* P$ A/ x$ Z  [ visions ]]
/ F$ d+ k* @7 ?  p& L  tick4 ]6 v' ]& i+ q5 A
  update-plots' V) p0 v& R' O
end
% N" R- L& U' B+ X9 Yto visions
8 Q, N) r: @* A4 C) U# |5 ?6 K  g set vision vision + 1 ) O* W  W: x  r) k' U0 d
end
" K9 [+ H; H% ?7 Z. y% {
  N# x. Q: t2 D2 V! N6 E' Y0 S, v  _1 M

2 H3 d& R& g& p1 w4 mto turn-towards-grain  
6 W& v" S; ^4 |  set heading 0$ X5 E0 J+ Z" D2 Y; ?5 n/ l
  let best-direction 0
3 |8 {; a4 P# _8 H  let best-amount grain-ahead' Q+ T9 I4 n/ j2 y+ _1 P9 d
  set heading 90# P* O( l* }# ?; P9 s) f" w- N
  if (grain-ahead > best-amount): W0 j8 Z+ \0 E2 U4 I
    [ set best-direction 908 f% C6 G7 w* Q! V! l8 }7 g4 V9 E
      set best-amount grain-ahead ]
, [  }) _0 K& e# }" W# G  set heading 180
+ L# m6 C$ p; _1 o: u0 E( a. L  if (grain-ahead > best-amount)
6 |4 N+ N2 _3 s. {0 ^! Z9 {    [ set best-direction 180; z+ o# I3 K$ C, d2 q
      set best-amount grain-ahead ]
& H( _1 O2 V/ c! v' s- i  set heading 270( p- F4 R9 O+ E6 J7 F0 s
  if (grain-ahead > best-amount)+ I8 ?( w3 \' n1 P9 a" l
    [ set best-direction 270! w% a5 L# i1 }5 X, J& o( a# P; R9 S
      set best-amount grain-ahead ]! ]) m$ H% T- b: X/ a' H
  set heading best-direction" _: v: m- D3 u5 _' X
end
, D" ?- w% K% t4 n/ ^1 F7 K1 I1 R$ t0 B, L/ v+ h6 x( ^& W

$ X$ Y+ r# |  D, S* `! h, sto-report grain-ahead  ! R! G5 Z' Q1 H/ O
  let total 0
% `" W3 I2 s! G3 C4 X6 H0 e  let how-far 1
8 f8 m* Q. k5 q  repeat vision
- p* t/ C$ \2 S- z3 a    [ set total total + [grain-here] of patch-ahead how-far  @; G/ n/ g9 d: ^
      set how-far how-far + 1 ]
3 \" J, e( ~2 j! q6 \2 n/ r  report total
; t4 R9 @6 k" p* P6 E1 mend
4 k3 r- B* `. Z( U" T# t  i6 y4 W: r
to grow-grain   b* V% l$ P( q
  if (grain-here < max-grain-here)
$ c1 P7 }* u4 D2 T7 {, T4 X    [ set grain-here grain-here + num-grain-grown
- {) b# N+ [0 |& o% D$ b      if (grain-here > max-grain-here) - X5 ?5 j( R' g2 o& ?* v. ~
        [ set grain-here max-grain-here ]
/ r  B" R" ~1 J, N. l- {  }6 z  {      recolor-patch ]
; f4 X4 ?9 W! [" E8 L- p0 u! a% Uend
) i4 E/ ~* s3 k6 O8 m; jto harvest
8 W+ c. w- D/ m2 }2 E  ask turtles* g( m. s5 s0 M  Q$ N' a" m) |
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]$ d" j2 a8 R  N. I- \8 J8 b$ H
  ask turtles
3 \+ Y# z  E( U/ }    [ set grain-here 0! o1 x4 P1 b$ E6 Q
      recolor-patch ]: t  F+ f/ o2 o- g. g
  $ R! H$ B& G: Z' Y( @
end
/ T# C: x) H" i3 r" s& N4 n5 W
  D' g/ U7 k% L% {4 w! ]to move-eat-age-die  
) W3 o) e$ F& `- h5 s  fd 1* D/ T) x* G4 _# o; b) |* m: U. ^
  set wealth (wealth - metabolism), x% L0 X; R: h8 G4 T, H
    set age (age + 1)4 w2 _( x2 [; l
  if (age >= life-expectancy)4 Z+ B5 \0 s; G' p3 b
    [ set-initial-turtle-vars-age ]
# J# S& I2 ^# _! Q! I. \. N  if (wealth < 0)
# i+ s( i3 a/ S    [ set-initial-turtle-vars-wealth ]$ W* [" L. y7 ^) j" d
    - |4 k$ f3 r2 K5 z. C4 V  c1 C
end
5 e0 H* R. p& B6 W2 I: p( K. ~
1 k7 E3 x6 Y+ N. E" ?2 h: f2 }% X: F4 s
! S6 y4 Q5 L, D, T( B) t, C) J4 Ito setup-plots
9 k' z4 g9 U6 |1 l7 l4 N% J' T9 q( R  set-current-plot "Class Plot"
+ Y3 _9 I- B, _* d  set-plot-y-range 0 num-people0 i" `6 D9 s. E4 G
  set-current-plot "Class Histogram"2 Q) ~- l' B/ P7 N9 k) q" O- z
  set-plot-y-range 0 num-people
: m# Z' a4 i4 [. l  ^; send1 l4 t* \, P2 c0 j8 W
. m8 L2 M3 y1 u) ?8 M, r
to update-plots( s* [# w- E0 a1 t
  update-class-plot7 P3 B4 N' W6 t& w3 w% l' t. v
  update-class-histogram* E. {5 B7 d1 ?! s+ r
  update-lorenz-and-gini-plots
/ G( K7 ^& h. O  dend
8 p* @& x! I& {  w  C9 E6 Z1 h. G% V8 U8 P/ \7 i9 x6 P
to update-class-plot
4 X* C: \1 Y6 D  K' K4 m  v  set-current-plot "Class Plot"
3 m' c+ Q/ }8 `/ C  o4 Y. j  set-current-plot-pen "low"# y' x0 h* j8 f& K% S
  plot count turtles with [color = red]
% ~% a- f) y/ _- M+ n* {  set-current-plot-pen "mid"
# Z* E/ w2 \" r" g# E  plot count turtles with [color = yellow]7 {; k* \2 k" N& C
  set-current-plot-pen "up"2 @" G) P& U: s# f: u+ Q5 a2 E
  plot count turtles with [color = green]
' S) |/ h) }+ N. cend  y' Z0 h; D" ]5 v+ j% a: n% ^

# B3 p. J% z' M- N* ito update-class-histogram- w# Q+ \$ E1 E( W8 w
  set-current-plot "Class Histogram"
( e) J- r% C/ h" q% V  plot-pen-reset# F( s7 c2 U4 n! ?9 |+ s
  set-plot-pen-color red; e* c% r% F. X# [8 C
  plot count turtles with [color = red]
  I5 z* ^% D: z2 a  set-plot-pen-color yellow1 g% z, @* Y% I7 P5 l$ z
  plot count turtles with [color = yellow]
3 c# j1 V# k$ s+ z) s  o) O  set-plot-pen-color green
- X5 h1 `. Q; O- @3 M1 I  plot count turtles with [color = green]
6 \& |6 B2 X6 L; A8 Iend
5 p, X- A# L7 o  a3 y1 |to update-lorenz-and-gini-plots
& C: V5 k9 f( Q* x$ z) j  set-current-plot "Lorenz Curve"4 p  O* U8 k; f- I
  clear-plot
! K/ E% n# l. s; o+ T* ?
0 X& n& m% V% L+ y! q  set-current-plot-pen "equal"
; n8 p  N1 f* ]' G: H  plot 0* I, r. A# i* D. y
  plot 100
) q( Y$ m" O, E' A, N5 f, c/ X- h( _& F* `9 P& o
  set-current-plot-pen "lorenz"
. \, `  z, r5 u+ T6 j  set-plot-pen-interval 100 / num-people
- J' J( X; [1 @$ ~- {  plot 0  t$ W% i9 r& j4 \, }

' k. {' S" d* L; D5 a! d& A  let sorted-wealths sort [wealth] of turtles
* g2 D7 E/ Q2 I4 |  let total-wealth sum sorted-wealths+ `9 B3 \3 F, s- a0 J) h
  let wealth-sum-so-far 0
- g- ~; q/ {7 i5 M/ _; J8 Z  let index 0: M6 H8 w1 f; w( j2 f6 t. h6 _
  let gini-index-reserve 0( P6 ?( v2 a0 a: H+ G
, X+ F2 |8 G! L' N5 j6 |2 K
  repeat num-people [
8 i  I. w3 |7 t6 r4 H    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)7 F& N4 M( N8 F4 V% N/ l
    plot (wealth-sum-so-far / total-wealth) * 100
- d* }9 q: p. c    set index (index + 1)' o0 D0 d( W. t3 Z) ?
    set gini-index-reserve* j  Q3 f1 @2 L1 t) D
      gini-index-reserve +0 _- v/ }. h; r# N
      (index / num-people) -
: j, {; V0 w% R: ?/ @      (wealth-sum-so-far / total-wealth)
7 L+ x1 \+ f# f# D7 b$ _* f8 w  ]
: ]7 e1 _& R: n; L
, E; f9 E2 p( J% x  set-current-plot "Gini-Index v. Time"# @4 B: {9 y. J2 E
  plot (gini-index-reserve / num-people) / area-of-equality-triangle( I* l% F$ q& o
end* W! e6 I8 [3 p, k2 E! G
to-report area-of-equality-triangle/ t6 R- u! q. w+ ^. X
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)2 x* n  X* G+ R( s
end
 楼主| 发表于 2008-5-4 15:49:14 | 显示全部楼层
自己写了用的hatch 但加在上面的程序中运行的时候总是出现问题T_T
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