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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. t  d" U$ n9 ~- J3 C% ^2 y
globals6 ?+ g5 E0 s' E2 a
[
4 P! X& H" c' S/ z) ^  max-grain    ! _# e% w8 f* S9 Z3 H
5 m+ M8 i+ s* r, k5 T" b) ]+ Q
]* C  P# N  C6 ~+ M/ a
) ?, p; A! a* R( ^) \& v. \
patches-own! a6 |9 q$ H2 K6 O" a6 Z* x
[
- |# e" d  }( r3 |& p  grain-here      
) w: U3 x6 H( Z7 e4 S: Q  max-grain-here  5 T1 e' G5 [/ u/ r3 B# b) Z2 N8 {
]
2 N4 A6 u# ~8 p4 D2 S; l
  S! a* S. i/ j0 n1 X' H; q8 f6 \6 iturtles-own/ ?3 c. H' C9 C: J; v9 n; a/ z
[
$ S# ~4 ?5 v, \. d" J. }, Q& |  age              
# ]5 r8 A3 c/ T- S" a5 f: ~* [- t$ `  wealth         
+ {6 O- m) U( \) f  life-expectancy  
9 \: L, s5 K, b% M+ F+ ?2 `  metabolism         `' \: D3 s0 q- r0 E- ~
  vision4 u8 E3 R0 p0 a' W+ ^
  inherited         ' L! Q' H1 O1 \5 {- T1 Y% l2 H
]
, f# S7 U3 R: A* U
& G$ s+ j/ ~* V" Q% p( x
* W% m2 l% a! a8 Xto setup
* C6 ~6 c$ R; G/ _  ca- E, u9 ?3 i* \( n& s5 l
  set max-grain 50" ^* ]6 [3 C7 H5 x
  setup-patches* Z. `# g5 g% y9 R0 Z, _
  setup-turtles
+ q* b* d4 p8 V1 M  L) _& b7 N  setup-plots- J3 s9 F7 `5 H* y  S! p
  update-plots
$ d/ y. Z" y3 y* T% z* cend
2 @, L2 p+ C# c9 m' Z5 fto setup-patches
* s3 g# [; B* T! x* [  ask patches& U1 Z  }* |4 A
    [ set max-grain-here 02 V$ r; `- w" }6 N
      if (random-float 100.0) <= percent-best-land
8 B; f: m5 ~3 `$ q" s7 f/ z        [ set max-grain-here max-grain
0 o4 K; I( x2 V9 C          set grain-here max-grain-here ] ]- `. @9 x0 T* z& k/ I# t" e
  repeat 5+ d) H# K/ \( y3 m
    [ ask patches with [max-grain-here != 0]: ?# F2 Y% N# I3 l1 p8 j
        [ set grain-here max-grain-here ]8 Q9 T8 w5 \; K$ T. F
      diffuse grain-here 0.5 ]
. E) q2 U* ]' ?$ E7 x4 o  repeat 109 X  c. D& ]+ U- A
    [ diffuse grain-here 0.5]          $ a. z0 l; u6 L: o. W
  ask patches4 j0 L: Z3 u: Y
    [ set grain-here floor grain-here   
3 ]( U$ }. K6 A0 x8 S- [      set max-grain-here grain-here      
2 f2 T9 \1 s4 Y0 @% D- h0 n      recolor-patch ]
! D9 T/ ]0 I, L0 z/ ~) @$ Kend
  s$ \% p, f; Q8 D3 k) `to recolor-patch    n+ b  e( v# `2 n* ^7 M
  set pcolor scale-color sky grain-here 0 max-grain+ R9 [+ H7 m' z' a9 W6 E* j0 t
end6 T  ]  m# q2 k% R( a+ U) h
to setup-turtles9 Y2 J3 z! y# F7 O8 e
  set-default-shape turtles "person"
/ \/ `% i  U# X) _  crt num-people
" q$ N1 u% N  y2 h1 w    [ move-to one-of patches  * j+ |) C- \0 v5 }6 \! q7 _: r
      set size 1.5  
: l, `* u4 ?: O. b      set-initial-turtle-vars-age
. Q# A, I. [; n# v      set-initial-turtle-vars-wealth" N0 V+ t9 q, Y) H; x" j1 l& K
      set age random life-expectancy ]9 \8 K% g2 V, m4 m; i: |
  recolor-turtles
0 M& [+ u7 y& Z0 T) W9 kend
6 u+ G  t+ V" T$ V" y1 [( r# g! J" i! X, A3 d
to set-initial-turtle-vars-age
! D: e# d% `* U6 n/ n7 |  S let max-wealth max [wealth] of turtles: J. {( e1 I: L! p5 {
    # a; s4 U, I) c$ r/ M  k6 {
     ifelse (wealth <= max-wealth / 3)
1 a. q/ a2 p% \/ z; w  e        [ set color red ' Y8 M; o$ Y6 R: {
          set age 0$ v* u2 |7 R/ ^- J$ |4 N
          face one-of neighbors4 1 C1 i4 C7 O- B; Z' o
          set life-expectancy life-expectancy-min +3 k+ [5 x6 Y& m0 P: }+ o
                        random life-expectancy-max 2 z: `3 L' r! O* `
          set metabolism random 1 + metabolism-low
+ c) a# f' q4 N0 ^3 \9 \" j          set wealth metabolism + random 30( a, y* w4 ]$ P! g  \+ l, j
          set vision 1 + random max-vision
4 i+ F5 d" X9 Z9 a2 q( @' O             set wealth  wealth +  Wealth-inherited-low ]; ~" f( p) U$ O
        [ ifelse (wealth <= (max-wealth * 2 / 3))( H$ J: ~- Y3 ]6 l+ Y+ p
            [ set color yellow
' O% B' }8 c+ f              set age 0' I4 `2 |2 A4 A4 h/ l( S: t
              face one-of neighbors4 ' y3 n+ y, y+ F5 u0 G/ V6 s
              set life-expectancy life-expectancy-min +
& O  I1 Q6 i2 Z0 T                        random life-expectancy-max + 1% }1 L4 s3 j# p0 W4 \0 M9 p
              set metabolism  1 + random metabolism-mid
% |1 ?5 o" d9 Z! ]              set wealth metabolism + random 30% ?. q# B$ q. @6 r, u% m
              set vision 3 + random max-vision' {5 j0 a$ x5 r5 Y" @1 w4 b
                set wealth  wealth + Wealth-inherited-mid]  w% Y1 h2 h. q  N0 f
            [ set color green % K3 |( t: \# ^# P6 R- K- `
              set age 0
1 ]; X; z% ~+ C0 z3 k1 I3 w              face one-of neighbors4 / b2 F) V2 u3 G9 ]; g/ u- o
              set life-expectancy life-expectancy-min +! a, \& f3 n) ^
                        random life-expectancy-max  + 2( x- v/ o$ Z* f# s" \* ]0 L% }
              set metabolism 2 + random metabolism-up2 I0 P9 s6 c9 y6 Z" L; {
              set wealth metabolism + random 30. H9 Y7 X- a$ ?7 o2 E
              set vision 3 + random max-vision
+ C* d6 h8 S1 R              set wealth  wealth + Wealth-inherited-up ] ] & E" a( c6 l! d% }
9 j- N6 W! ]3 ?3 L
end8 W# |$ M0 D: R* M; W
to set-initial-turtle-vars-wealth* h; Z1 ], k$ B; [8 ^  j) O1 N
let max-wealth max [wealth] of turtles
$ g, g- z  w2 ?0 h. S' J: A          set age 01 O8 A+ z% j+ @" `
          face one-of neighbors4 ( N7 `- e& B. Y  v4 L3 X
          set life-expectancy life-expectancy-min +
. g; b( L& v9 T5 I6 X7 n                        random life-expectancy-max 5 Z- i0 D) {& _% {4 ?
          set metabolism 1 + random metabolism-up3 i% l1 p3 Y% w- X" j
          set wealth metabolism + random 307 _/ P% s* ?& }, i: W* w# ]3 r
          set vision 1 + random max-vision 6 v8 I1 i$ y; M3 k/ i6 _
end2 s% l# ~0 _+ j* q. `8 p
to redistribution
, n2 O2 b% ~6 g- r6 v, h$ S9 n& plet max-wealth max [wealth] of turtles
5 ]$ ?" X1 o+ X& O! Llet min-wealth min [wealth] of turtles
  J% M0 I, f  q* p+ B) ~if (wealth <= max-wealth / 3). m/ p6 y" M# \" Z' f5 G
[set wealth  wealth + Low-income-protection ]
6 e9 r# Y/ ]4 S7 r. L- oend3 o7 x  v1 F4 d  ~% w$ v$ f0 }
         
/ y3 e: c- M; j! _to recolor-turtles
- {, d: o6 y' \! y. N- t4 N, r  let max-wealth max [wealth] of turtles
& S1 ]2 m* @8 W  ask turtles+ |/ T* k* }* J8 f
   [ ifelse (wealth <= max-wealth / 3)8 i" {1 s1 R& V5 f$ r3 X. _; Z
        [ set color red ]# s/ l: A/ k, u4 X& m' j6 g
        [ ifelse (wealth <= (max-wealth * 2 / 3))
: b6 T3 J' b) j# ~  S: x            [ set color yellow ]
; f2 b, o. s  p  S: F            [ set color green ] ] ]
. i  F  s: u. {: I5 R; [- W ask turtles [ifelse show-wealth?
& N$ }$ _& Y# v5 E: H# a* R    [ set label wealth ]
1 c& Z. i. |. G& g5 D2 p3 p% b    [ set label "" ]]
4 I3 q. [% |2 w7 Aend$ W4 _8 h6 }$ s. I; Y! l
: Q; _5 @6 A% c9 _
to go
3 I& ?3 j6 |% q0 b  ask turtles: Y* _. x1 A$ N4 [& {" s6 A  s
    [ turn-towards-grain ]  
' O* R& H: f% Q, z  harvest1 F2 i2 Y% l7 g+ T! R/ c
  ask turtles6 F" E+ F+ M7 h3 [5 T
    [ move-eat-age-die ]
* u; C% \& y8 A' u9 z+ ~$ a) Z  recolor-turtles7 N3 N3 X( u. H3 ^; Y. O
  if ticks mod grain-growth-interval = 0
3 ?5 q) X% a  \+ p9 o, D6 k+ }    [ ask patches [ grow-grain ] ]
) ?3 z3 T0 R8 v* x# T  j   + {6 E+ a# e( S# g( P7 y& q
  if ticks mod 11 = 06 X" N7 V/ o" h* G/ y
  [ask turtles
& T% z& G; F* ]# N% t$ [- L" E& M  [ redistribution ]]! z# g; j7 s1 q, T. ?% z# `: _- P0 ^
  if ticks mod 5 = 0: V4 Y( _8 p% r% Y  H' l, R* ~+ i7 ?
   [ask turtles. Q7 _+ G% ~& k4 u( ?& W# ?
  [ visions ]]
4 p: c8 w$ I( v/ s. x% b3 L4 H  tick
9 z! X0 A# P+ d4 o+ g: C4 f  update-plots8 C- x" c; l. |7 O
end
3 G* Z" j3 ]/ hto visions' z) O9 H* A, r. d% D3 A  X% r! M. m
set vision vision + 1 : }; S3 x% }9 \
end
" E- Z. K2 H" z8 f2 c$ A- g) I" Z  q
9 J8 t- D2 E) Q7 \0 r- J* m2 _

. z' E8 t+ _* L* Oto turn-towards-grain  * {" j' ^# y8 E
  set heading 0
, j7 S  t" G  ~5 m0 w8 B  let best-direction 0
) l2 O% V- E* g2 z7 K& T/ R/ k  let best-amount grain-ahead
' G" W3 }0 E# t% U3 y2 r, }9 g( o8 _  set heading 90* t1 L7 }! d9 t4 c% l3 W( O
  if (grain-ahead > best-amount)* I, X8 y. }2 e& h4 W3 N: ^
    [ set best-direction 90# L* o& c% c. p$ @
      set best-amount grain-ahead ]1 k8 z+ j$ d8 c( a' d" `( v
  set heading 180
) k0 o: ]7 j  o" p1 r, t+ I9 r  if (grain-ahead > best-amount)8 p# @4 L2 i7 ^4 F' b( C. s
    [ set best-direction 1809 ?( g8 H0 p+ P" V
      set best-amount grain-ahead ]4 L: |4 [( ^2 i* J: z; K
  set heading 270, {0 D# z5 {% k7 V3 `# c
  if (grain-ahead > best-amount)
1 l3 o1 a2 k, z0 J    [ set best-direction 270  C( r* K0 j8 s5 J- {
      set best-amount grain-ahead ]
- _) Q' k" q4 s+ p  set heading best-direction
! A! k% `5 O/ M6 ?+ `* rend
: }  t4 O' ^* k' t
# y" u% ]  {8 O, h  ]5 Q# Y3 K3 p5 i# z. E; N3 E6 ^
to-report grain-ahead  ' c) W5 W, m! ?" M2 R! E2 Y  L
  let total 0- U$ D% o: C! P. U! n6 @
  let how-far 1' E! T" N3 I+ g' j
  repeat vision
/ x% B% b  s& u    [ set total total + [grain-here] of patch-ahead how-far. p3 H& R8 O2 p) ?! b8 b
      set how-far how-far + 1 ]* l. {) T# e1 U: V/ o
  report total8 R- w$ M5 E, M, x3 W) ~) F5 E. K
end
: n* {' L  ?) x+ s# ?% r  B7 D! U! G6 e2 H- \" B6 q7 l+ g1 t
to grow-grain
0 V+ l- u2 ?# x+ I: f( W  if (grain-here < max-grain-here); w/ J  `7 ?3 h  U5 Z: E8 H
    [ set grain-here grain-here + num-grain-grown
: {1 G0 Q/ T1 W! i) k! n      if (grain-here > max-grain-here) & o) |( L# x6 e3 I0 E' b
        [ set grain-here max-grain-here ]
  f: z  L8 f' }2 ^) g+ H6 M) c. g      recolor-patch ]. h8 w* v! E6 Z. k0 G
end
" c+ w$ L" e/ N* @' q( l4 zto harvest8 W, m; z  M) v& g/ L4 ]
  ask turtles3 E  |2 X/ B* ?- I7 q
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]+ B3 ~) v! T' a  a5 F
  ask turtles
. z. `2 {  Y: x- N* @+ X    [ set grain-here 0
4 V- o0 {& f1 x      recolor-patch ]% ]" S4 \9 C5 w6 T' q* V* p
  
+ \. N/ e  I) wend3 }) i: P* c! m. }, l

( \' d' U2 _* dto move-eat-age-die  
, s# ^/ e5 m* f! `7 X; w: _( I  fd 1- @6 H+ `! s( l# {8 X, T6 b$ I
  set wealth (wealth - metabolism)- c* v/ u# N, h1 R! i+ [
    set age (age + 1)0 B) L3 g- r, f2 [
  if (age >= life-expectancy)
7 ^; q7 \) p' e2 M    [ set-initial-turtle-vars-age ]# ^' H7 h  E1 k$ R
  if (wealth < 0)
6 P9 K) L; a8 x" J* e1 J- W# s    [ set-initial-turtle-vars-wealth ]4 H" d- @% [5 A5 ]& [! X
   
# m% n2 a" _4 P' vend' Y9 a  W; P' `( j+ A2 E
' f) Q" I: b* P1 V
1 r& c" E: n2 F) a
to setup-plots
" j9 ?, J( Z9 y; I  set-current-plot "Class Plot"
4 ~1 p" t3 m" F5 d" j, T6 l: L  set-plot-y-range 0 num-people5 }& y9 J6 x: A9 V3 q7 F. g8 M
  set-current-plot "Class Histogram"
. Z2 D0 M4 E/ O* F2 G' _2 q  set-plot-y-range 0 num-people
: n% _" T! u5 m: ^! Z: wend
) ]) O; X; t( ]. @* _) I: H, w" N$ x3 x6 i" F
to update-plots
6 H. Q' ^  @# P: R9 x  update-class-plot
# V! \+ g, `1 _0 @4 x  update-class-histogram
+ |- J& Z! \* m  S8 k  update-lorenz-and-gini-plots( T0 [; X; V7 e- L9 `5 }; V( k8 O
end" j* k$ g+ B& Z1 ]" _
, q& I* i4 }/ F8 y/ j/ m3 h. k  B8 s
to update-class-plot
" f' M: ?# I- V/ z' l  set-current-plot "Class Plot"
: Z! V* n- R/ ?# K  set-current-plot-pen "low"
1 G1 X/ W, N5 H* S+ i  plot count turtles with [color = red]) v: Q5 X3 F# Y- V
  set-current-plot-pen "mid"
, Y5 A- O) j% P) l  plot count turtles with [color = yellow]# |& ?$ E) y+ J
  set-current-plot-pen "up"
. o: [& f2 G9 Z8 a( W" a  plot count turtles with [color = green]0 O: b1 R2 R+ s' ^5 g* F
end
2 v0 Q  M  n; |# t) I& E& J8 d9 [8 r$ `# ?; U
to update-class-histogram+ v4 U* j2 B* o
  set-current-plot "Class Histogram"% [: e+ }- r0 T: H3 Z8 c
  plot-pen-reset4 D- w! K  v4 M; \& Y) }
  set-plot-pen-color red
- X& V# S( X. {. B3 b  D8 u  plot count turtles with [color = red]- w0 m2 L6 d9 a7 g9 B9 k& v
  set-plot-pen-color yellow( d0 x% t" N8 x
  plot count turtles with [color = yellow]) v4 t- {3 @2 m
  set-plot-pen-color green
1 F% W7 S7 Q+ B! W/ _- L  plot count turtles with [color = green]! M3 c' Q8 `  H! p
end. ~  G- F' H& g. s
to update-lorenz-and-gini-plots* H$ d7 M  D/ U1 j; O9 V
  set-current-plot "Lorenz Curve"- Z" ?9 b4 N; u2 [' v6 Z  D  l4 F
  clear-plot
" N6 W6 M& ]: @+ u
" k0 Q) [! V) X2 W' P# N2 T  set-current-plot-pen "equal"& t& m# _8 r% B8 `0 z
  plot 0" p" G# O5 o4 {0 V9 c5 W! R6 O% |
  plot 1001 P; u0 A7 K" ]/ P
. ?, k0 b5 Y; k  N
  set-current-plot-pen "lorenz"
6 m8 A: ^- K3 U6 e  D# \  set-plot-pen-interval 100 / num-people! Q+ @6 ?7 I8 E9 y; V0 M
  plot 08 a& l# R+ C& ~0 ?6 g7 S& G+ m- E
' J1 M& r( ^# @4 x
  let sorted-wealths sort [wealth] of turtles$ I/ |+ V. S4 m9 z+ _6 ^  g+ s
  let total-wealth sum sorted-wealths
" U: {: Y8 ?3 A: A7 |  let wealth-sum-so-far 03 o! l3 ?) G2 R6 c& \7 o- _! Y: e# k
  let index 0+ @0 \6 ?' c4 S: H" O6 l
  let gini-index-reserve 0  O0 ~* c" S+ K, H, P$ p/ m

. c" o+ R: Y1 \- \  repeat num-people [2 o+ f" b# R$ H9 e% v" f& D# y
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)& `% R' e5 _& _  e1 {
    plot (wealth-sum-so-far / total-wealth) * 100
8 S' H# C0 W1 D- V7 N' Q$ ]* @: P% i, Q    set index (index + 1)9 Y& T6 U8 @; h, X+ m
    set gini-index-reserve
2 e2 b& e+ `& g      gini-index-reserve +5 d! b8 g' A0 c" `2 V
      (index / num-people) -% e- I0 {" Y) `* z) A
      (wealth-sum-so-far / total-wealth)
% T" t/ P. p+ ~9 S+ ^4 \  ]
5 H/ @7 g2 f3 Z7 M+ v& n8 s& O& K% }3 X7 T5 W0 P
  set-current-plot "Gini-Index v. Time": n2 s6 k% a# s
  plot (gini-index-reserve / num-people) / area-of-equality-triangle/ {6 J( X% C9 ~$ i2 j
end
& Y  Q% @1 M; O! O0 a' Tto-report area-of-equality-triangle
5 N9 j, r. L2 R7 @+ e  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)0 M; U2 [/ b3 ?' z/ m0 a
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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