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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
  C6 D" i5 W' \9 q% jglobals4 V) r+ z7 N* ]8 z5 k0 J: d
[
) h& T# N, y5 {4 J  max-grain    ! h, t* T* K/ ^& [

" Z9 }2 I* P6 Y+ b9 M3 ^7 `]5 c/ g; m5 K- e" C6 ^; A
. [$ z5 x" @7 g
patches-own4 B+ P! r" _2 L" X( s0 z
[0 Y  C6 c: n4 B
  grain-here      % z' k0 W+ s3 s; _+ O% e+ G
  max-grain-here  
  h/ M: w; O. {# H$ D" g]2 l" r/ Q# N  C4 f* p. z1 |
2 i1 v: a# n. G, l  }; X
turtles-own
- z# e2 L: `# B+ t, W: S[
# G' j0 _: V; u' x  age              
6 g* I" ^/ M0 Z" I9 ^0 U" X+ n- r  wealth         
* J, k! l; v: |  p8 {# s6 Q  life-expectancy  
# p' G4 Y( F) p0 }  metabolism       5 k: ?, w0 u/ L9 c" c
  vision
) h5 B2 B! i0 ?4 u. {# J  inherited         . E1 \7 A1 z5 K
]% `: \3 y& q5 @4 P1 Y* g

" \) d+ l$ t9 `% z8 v$ |7 F5 ^6 M. ~6 q- m; q6 r! u
to setup) [: h2 ?$ A5 e! K
  ca
  q5 @5 B8 C0 l! O- C  _2 \  set max-grain 50+ A8 q$ U& @( }
  setup-patches; N6 k" g7 C& h* Y3 {
  setup-turtles) q& r, O; o# {: T  t% E/ ]
  setup-plots
& |9 N& k9 R' A+ c, K  update-plots, ~+ b! b; v8 A, r1 U) T& i
end
3 Z# T# D1 q# }  n6 j, E" n) T3 Pto setup-patches" D# B( s- E7 K/ H4 ?; \
  ask patches
. Y- N* n6 _  C2 N8 B+ @' ^    [ set max-grain-here 05 F. @: {9 B: j) g) h4 s. v- g
      if (random-float 100.0) <= percent-best-land
1 t+ {1 t: ^9 f- |& K        [ set max-grain-here max-grain' j5 R7 y' f) X5 g$ N9 u' E
          set grain-here max-grain-here ] ]
' h; {* ]4 M2 o$ x+ g  repeat 58 f+ s2 @/ g" O5 K3 w1 K
    [ ask patches with [max-grain-here != 0]$ W6 ~; Q( c3 d8 Y, [, i/ j) q1 `
        [ set grain-here max-grain-here ]
" ~$ i( g+ y1 c; O      diffuse grain-here 0.5 ]
) @3 m- m' i  X  repeat 103 ?$ H; K% v& u! `, p6 J
    [ diffuse grain-here 0.5]          ' Q2 \/ {& t  z
  ask patches) `; J+ j* q" o8 X
    [ set grain-here floor grain-here   
. i" I0 {5 g8 y% k      set max-grain-here grain-here      . I* M7 N( C. t& S
      recolor-patch ]. h# r. U1 `8 V; B* k7 E: n* s
end6 [) `0 {8 w' `+ p2 ]
to recolor-patch  8 x0 G/ u- t" D4 \" P
  set pcolor scale-color sky grain-here 0 max-grain
" [# c7 ?8 g+ V5 [8 |: D' Cend; n. b7 v' u5 ?3 |) j
to setup-turtles
- R& f3 [+ T7 @; _" h; S" ~  set-default-shape turtles "person"; g5 |3 d# V5 w+ V# d& `' P
  crt num-people; f& V/ D. H  C7 v
    [ move-to one-of patches  
( W/ ?; F7 m! e" {. H& e: F2 Y5 d      set size 1.5  
9 n8 u( g" b: b, {      set-initial-turtle-vars-age3 v4 K1 M9 w* {$ Y6 `
      set-initial-turtle-vars-wealth
4 c% Z9 Y" s, Z+ F      set age random life-expectancy ]
5 `- b8 P6 a$ w$ O1 P  recolor-turtles9 {6 C1 L/ w# J* ]7 Y! u7 s
end
; J# J7 f7 O" c  {0 G% `1 h1 z! W* j4 G- E% U# Q" N
to set-initial-turtle-vars-age; p/ L8 k' I3 T% z' D/ r8 R
let max-wealth max [wealth] of turtles
' q1 o; H/ c/ K- Q9 ~, Q+ `    + R' I# y: p8 i7 a1 F2 t% @5 j
     ifelse (wealth <= max-wealth / 3)
# f. r+ W7 J; b! ~' w        [ set color red
/ h7 y1 b* L  ~1 b5 I" Z: b( a  x          set age 0
% t' S+ }: [& j8 |; ]6 p          face one-of neighbors4
* ~/ G& D' v* B  n( y$ [) f# Z          set life-expectancy life-expectancy-min +
& D8 P/ z9 C0 _  c6 t4 |                        random life-expectancy-max % O" l- h- `+ U0 F* \; b4 Q
          set metabolism random 1 + metabolism-low5 A4 }3 S6 ?1 j- l; ~7 _# }2 u# c
          set wealth metabolism + random 300 I/ X# X2 e5 u6 E1 p
          set vision 1 + random max-vision# ^4 U) q, n  G" o6 ]( z7 e/ X2 P
             set wealth  wealth +  Wealth-inherited-low ]
# G$ o& \3 l) @$ }6 y        [ ifelse (wealth <= (max-wealth * 2 / 3)). q0 r4 L) Z# t9 ]
            [ set color yellow $ J5 o! ]/ R+ d( z+ V; |
              set age 0  G; V; t: s: ?# F( }
              face one-of neighbors4
. A1 m' S7 Z) V              set life-expectancy life-expectancy-min +
% s: V; p& a/ T) `. l9 c9 B" C/ ]                        random life-expectancy-max + 14 Q! s& Q6 O$ I2 a: y
              set metabolism  1 + random metabolism-mid
; |  \) ~4 @; k8 P. W5 G              set wealth metabolism + random 30
5 i+ ~+ q! H+ C              set vision 3 + random max-vision
8 a& k3 {) E/ h# P5 P! r                set wealth  wealth + Wealth-inherited-mid]
+ c( a# s' x& g+ u            [ set color green : d/ ]3 X# R9 a: U' N$ R
              set age 0
9 r+ j* b8 Q3 `              face one-of neighbors4 6 L' I9 y& z; s  p9 W1 B# h
              set life-expectancy life-expectancy-min +
; C6 [& M2 r  X$ R, {                        random life-expectancy-max  + 2* v1 f4 v7 e4 \9 K
              set metabolism 2 + random metabolism-up8 }  f) C& |2 \' n
              set wealth metabolism + random 301 U! M7 X4 Q$ V7 _" e
              set vision 3 + random max-vision
7 D/ y# n2 W0 A, b. G; w" r7 D              set wealth  wealth + Wealth-inherited-up ] ]
3 W9 L. A+ L& W( b6 u8 ?
$ p& h! Y% [/ m6 [; {2 oend
- q$ O, r- G  b0 p: W  T9 t6 _- Tto set-initial-turtle-vars-wealth/ G2 w" v6 j  e) z
let max-wealth max [wealth] of turtles
; U; Z* }4 ^" X: c0 k" k          set age 0
* P3 E9 Z$ K0 N- N          face one-of neighbors4
6 {! K9 y7 B3 E( [          set life-expectancy life-expectancy-min +2 p  X  L3 U2 S0 n
                        random life-expectancy-max
  [) T( F& y- D: I9 [2 Q. B' D8 h0 R          set metabolism 1 + random metabolism-up
4 j( E: d( Z0 P; l1 i+ t          set wealth metabolism + random 30% h! S9 B9 ^8 M
          set vision 1 + random max-vision   S+ `! t  J1 q8 H* j
end" A' D; m; g% e
to redistribution
8 \: ~" p  E. e- ]0 E  Glet max-wealth max [wealth] of turtles: l, U, u8 ]' w! O1 i
let min-wealth min [wealth] of turtles
- A: \& ]3 V4 p/ F, f5 x0 Fif (wealth <= max-wealth / 3)/ j! m) F- }; `. d3 |
[set wealth  wealth + Low-income-protection ]  n' K& I/ i% \( g9 ]
end1 |. J) e/ d- B# R+ i& i$ D; G
          & _$ I% `% q- A8 G4 v/ z9 t9 ?- B
to recolor-turtles
& ^' x, y+ Y) S* _  let max-wealth max [wealth] of turtles3 H9 d, |7 |" j' Z$ |* X$ B
  ask turtles) d: _2 q) i7 u% B
   [ ifelse (wealth <= max-wealth / 3)* [2 l/ Q6 c: Q7 b6 \
        [ set color red ]
& Q0 V5 E1 U, L        [ ifelse (wealth <= (max-wealth * 2 / 3))
$ v" Y$ |" E% `4 v! }, ], c  z            [ set color yellow ]
6 S- ^# J1 ^# T& B5 t            [ set color green ] ] ]
7 W; K! L4 U8 S8 t8 y, k7 M ask turtles [ifelse show-wealth?7 R$ W2 y& p% l" D
    [ set label wealth ]
! l! o  c3 }( p1 ?    [ set label "" ]]) ^# R: A" Q1 e! G
end
) y0 N. T0 B! T  c$ Z
, s( a" C4 a+ sto go
6 U7 q) c, h8 q  ask turtles' [. E8 J( {5 u. P1 q# g( P2 c& A7 Z
    [ turn-towards-grain ]  6 `+ `' L: B% c' v) s6 o
  harvest2 T2 ^% C1 r) O7 w! B7 E
  ask turtles1 p2 k: o. Z. p0 v; g
    [ move-eat-age-die ]
; ^5 m) p2 K' L& P5 s1 j! B  w$ A  recolor-turtles3 C# v9 ^; F1 s9 ?! v7 q
  if ticks mod grain-growth-interval = 0
4 p% w* ?5 @7 G( }$ F( P' c' E    [ ask patches [ grow-grain ] ]
+ ]* Y. y8 p, Y6 |   + S2 L3 U7 f2 d0 H
  if ticks mod 11 = 0
% h% G& S$ g' Q/ j$ ~8 V; {9 b' e  [ask turtles
7 Z3 a/ ]4 o8 r1 |/ U  [ redistribution ]]8 n0 V& W2 p: C2 Q  N( P# w
  if ticks mod 5 = 07 d% M+ t6 y/ \
   [ask turtles. d! v, [! h8 c  V; v
  [ visions ]]2 T9 B. W2 U6 J0 ?  ~
  tick
! ?) z' U* q, Y3 [3 D( h( H9 C  update-plots
4 n: N0 A! e( H3 zend( e, c4 e5 n3 J
to visions
  Z# p# h! _, e' ]. B4 H* o set vision vision + 1
& g$ p: |! I; G; O" P& [/ qend
7 Q% R" |# l1 B( k+ a' b- _6 ^5 a" }/ ~% v
2 E5 J* r% Q" [( c/ k2 v/ Y4 h
* D8 w( n6 K0 i. R
to turn-towards-grain  
& t# A  @/ O5 a- R! s0 I; _; v+ W  set heading 0
: @/ k& ]- W- f9 W  let best-direction 0) M5 ~/ d6 ?& q/ h
  let best-amount grain-ahead7 T/ ?1 f* S8 l4 h" s
  set heading 901 B& f6 X9 o6 n) ]  U! ?( V  W
  if (grain-ahead > best-amount)6 J- ]; }* D3 j, e$ Z: e* t5 k
    [ set best-direction 90
% H' v5 ^0 T  g      set best-amount grain-ahead ]
9 z1 H3 y; b5 \2 b5 m/ Q  set heading 180
/ J& Z( T& y/ ]4 @% b+ p  if (grain-ahead > best-amount)
& W2 C* g' Y3 a6 L, j    [ set best-direction 1809 i, G- I$ C* y' M& m/ e" G
      set best-amount grain-ahead ]0 K9 i2 `+ I- v
  set heading 270
/ `% [" t! N' I4 |$ k  if (grain-ahead > best-amount)
& d, v! |" E* v- C/ S9 E    [ set best-direction 270" Y# j. ?# [; ], ^
      set best-amount grain-ahead ]
7 U( A; F+ V* ?" F4 T  N$ H6 W  set heading best-direction9 A! M' _% n$ M' p( `! w; L; f
end
% D6 c& J$ _4 N1 x0 ?1 C+ w8 L$ S; \2 h: }

7 G7 J# h5 {- G, s( R* |5 S* Dto-report grain-ahead  
1 ]$ l( u2 m. a. m2 q' `  let total 0- _; A+ Y& _1 t
  let how-far 1
- s9 w* _7 T% M: y# E  repeat vision' m' D1 b9 T' a4 i; ~4 v
    [ set total total + [grain-here] of patch-ahead how-far
# {5 E& _- R2 u$ p. |      set how-far how-far + 1 ]3 t8 j2 c) T( |# |
  report total3 n" ~8 O" \* ]6 |
end6 A* Y& z" t4 I) m8 ?7 w
) o. Y( `( u# n' }
to grow-grain
4 ?* f7 S3 G- P9 \" J+ P  if (grain-here < max-grain-here)3 c, X: `1 |' P' \
    [ set grain-here grain-here + num-grain-grown$ f6 ?* ~" R% k# T7 v" A
      if (grain-here > max-grain-here)
, c0 j" s$ T' G" a: d        [ set grain-here max-grain-here ]
( Y. y  Q5 J* R& F7 Y) }: `8 _      recolor-patch ]
# }4 h+ H* O4 w) F# ~end
$ i, I- G* U5 cto harvest
" C1 s# Z2 ?$ o/ w8 w  W  ask turtles9 B0 {& z0 |: o; t3 B( [
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
4 e! O8 g- N$ s; d  n  T  ask turtles! C" `9 c2 ^+ v' \& v* c) T5 o
    [ set grain-here 00 {8 X. d8 b( b4 W/ M- K9 I" k
      recolor-patch ]$ a1 B5 ^8 M+ }* H, n) K* Y
  ' n8 U! s8 s. P- G# P/ V- Z
end
6 T# ~4 u/ M% z8 n& o: W& K, m, |. w* F
to move-eat-age-die  + q8 v6 F+ \# ]9 n% {
  fd 1
) c  T4 ~/ y& v, f! v4 T& P  set wealth (wealth - metabolism)2 x5 q& }( A1 p' L, r% O( K
    set age (age + 1)
# B( o7 S0 a% O7 E: q! Y7 R# w  if (age >= life-expectancy)
! R9 d# Q# w, S  S0 D6 i    [ set-initial-turtle-vars-age ]2 p# K4 |, O! T
  if (wealth < 0)* s4 Y- C4 w. ^" W6 S# L
    [ set-initial-turtle-vars-wealth ]
& D+ j. _! d" B- ?1 R   
  ~% @9 z+ |: H1 [5 Z& |5 [$ Vend
2 ?. X3 l2 E# Z2 i; y# G' f# r: \
2 N" W) u7 E: O! ~- K6 U$ t8 a' b' C
to setup-plots6 u: g9 j* B% }  [" @* c! j
  set-current-plot "Class Plot"4 p6 o; W* N. _" V
  set-plot-y-range 0 num-people, ]: D6 I* \2 I; \: O$ v% {
  set-current-plot "Class Histogram"( q* d; K, w/ Q$ G
  set-plot-y-range 0 num-people# I) g% Q6 G& d% N
end
5 K1 B" J3 w8 \1 |
; I5 i  R' [' Ito update-plots% ]  }4 O* A9 Q' e: V$ a& L7 i2 s
  update-class-plot6 t4 f6 C$ ~' L' T0 u0 h
  update-class-histogram" {# J. }1 R+ d. B
  update-lorenz-and-gini-plots: P# E) C* o# V) `7 L+ a" O
end
* N8 i, s, i. r$ |5 I1 f: \- O* M2 Z
to update-class-plot
3 Y/ Q  Q( T2 s, W3 u' x/ V  set-current-plot "Class Plot"
9 Z: y' K' C4 A5 o! [( I  set-current-plot-pen "low", o& v1 u! u: G9 G
  plot count turtles with [color = red]) U: D! O1 ^- N/ G& \% P
  set-current-plot-pen "mid", {+ Q! d; L% N5 L
  plot count turtles with [color = yellow]
: a' F+ O* M% v5 k: ?  set-current-plot-pen "up"- r( N% N- o! V$ a; E
  plot count turtles with [color = green]
, m! N6 f& k2 \% Z* V. hend
& X1 p. z) w9 i  G8 F4 }! J% }  n  y1 M+ H2 A
to update-class-histogram, u7 H* Q- }3 [2 g7 Z
  set-current-plot "Class Histogram"
6 y# _5 c* y8 u  f* C  plot-pen-reset2 X: G1 ]) D4 P. e) R
  set-plot-pen-color red* b" L' v8 V3 I
  plot count turtles with [color = red]
& e5 V7 p4 R& ?0 K  set-plot-pen-color yellow! s- l8 x; ~! f1 M" q4 N7 o7 V5 V
  plot count turtles with [color = yellow]" ~) Y( o, |6 \0 r3 H
  set-plot-pen-color green
& w% N8 I. C2 \( G; ^& s. O% k  plot count turtles with [color = green]
0 R. B8 y9 w$ b8 D$ ?7 V2 j7 jend9 h) s. H" u5 O, d; n- O( q
to update-lorenz-and-gini-plots
; A- i1 E4 A' |  set-current-plot "Lorenz Curve"
( ^% q  M- r8 ?% A3 \  clear-plot" t3 Y$ Y. q4 t+ E
/ Y5 S6 x5 y  @5 Y9 ?5 ]
  set-current-plot-pen "equal"# j( Q* q# U& C  K2 G& {7 e
  plot 0) u/ e- {/ H: f
  plot 100
) P% K1 X& M( ]
( U  q$ O! L! _6 r4 D0 {  set-current-plot-pen "lorenz"
) v: X/ Z) A. s) G  set-plot-pen-interval 100 / num-people
, r) \6 ~5 w1 T5 w" Z4 a; @+ g& W  plot 0* U  a* |% _9 u  u6 u9 h
% l+ v8 \& w' W1 h. h, f
  let sorted-wealths sort [wealth] of turtles$ A/ [! `2 n, j0 v' t+ O; g  x5 V
  let total-wealth sum sorted-wealths
: K1 {8 d# \/ {: u( D/ Z  let wealth-sum-so-far 0& ~9 o; z4 K: z- s1 w& B" w
  let index 0
1 E) o4 n" a9 Y) T& L7 q/ E  let gini-index-reserve 00 P* d, d+ T) G
( Y3 C5 H+ K% |$ v0 |
  repeat num-people [$ y5 l/ U% {4 i' A, E
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
+ {/ a+ v8 U0 W$ o    plot (wealth-sum-so-far / total-wealth) * 100$ ~, g" Q% ?! ^
    set index (index + 1)
0 P" K7 h6 z0 ~, |) t* ]! p( b) Z7 v    set gini-index-reserve
/ }' W' x7 @% T) k: U      gini-index-reserve +2 S5 C' E  C2 W& @8 T8 P# p
      (index / num-people) -
$ `. F2 |6 d  Z$ Y0 f' ]5 {      (wealth-sum-so-far / total-wealth)" S) L* W+ h$ z0 M$ S
  ]
* r3 Y+ D: h- b
, Y& K+ W3 v  l' P' g  @  set-current-plot "Gini-Index v. Time"
# O: s5 B+ t- S& y" @  plot (gini-index-reserve / num-people) / area-of-equality-triangle7 C9 ^$ q2 y( I" S5 x
end. m8 F( Z4 |# |) @6 _
to-report area-of-equality-triangle: Q( [  J/ w4 d" f0 B# @! g
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
8 g  J! I# o/ a$ M( I% \2 Uend
 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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