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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
" N0 c$ }- N# `8 W6 s; D& V7 L+ Wglobals- A: F1 M; W# _; u0 p
[
( g: w: j  ^$ W* y  ~7 F" N4 r0 Z  max-grain    - x0 |/ E* C- p5 J  U1 L& J

  b$ R: i; f/ r3 |" h]; r& k' z! t; X8 c/ B# e3 E) m

9 z  e! R. }9 R% A/ z- Jpatches-own
4 _6 H5 [* M( x  t[
* f' b5 j+ r9 y  grain-here      
- z9 F* F5 T8 d# s& l# P  max-grain-here  3 }; r: \9 s) _4 M1 n0 p) \1 b
]* n/ `% f4 N1 b$ }: s
& b; \5 @$ |' m- G  j7 c
turtles-own
& X# p. P& {- @" n1 K; J[
; b0 f" m2 f& l2 |  age              ! V: N# A. @! r+ x' z
  wealth         ) M* @8 k# C  V" W% v& B7 ?: ~) |
  life-expectancy  % {5 G) x( X! \8 m& {5 ^
  metabolism       1 V" R! Q! ~: l
  vision
' ^' i. e- m$ K/ N% L) Y  inherited         
7 D# f6 P$ {. k/ K( L]
: m3 f. b+ [! Y! |, j
& e* y9 y7 _3 n1 g" ^  S5 v9 O9 l" _9 V. ]! |$ G
to setup
. P8 J; h7 {- S( n4 E* A  ca
5 j$ S% w7 k; N4 a7 c0 f: e0 ^  A  set max-grain 50
% w& O8 s( W8 `$ |  setup-patches5 Q) [1 a3 j, m% K, Q: ^
  setup-turtles
# r5 g  H. r4 i! y, w7 ~7 A1 v  setup-plots7 z+ e' u* W( D1 T1 b9 h( d. u  c
  update-plots. v+ q* f( e8 ?: K! f
end& j5 Y+ Z; W6 W' U1 Y; y8 N
to setup-patches
# j4 Q3 N  |4 i7 T/ i7 m2 v  ask patches0 t$ d$ T$ w9 S3 V4 p. E# ^4 f
    [ set max-grain-here 0, w! s  {8 t* T; P8 ]0 V
      if (random-float 100.0) <= percent-best-land
! `, ^3 p& F3 t% ?        [ set max-grain-here max-grain
' v" |! H) `. L0 e          set grain-here max-grain-here ] ]) b. Q. B, ?4 C/ u$ P
  repeat 5
+ `, t2 H0 b" N# a* L    [ ask patches with [max-grain-here != 0]
2 a' E; s: J. P; R) S1 o8 e$ u4 Z        [ set grain-here max-grain-here ]2 f$ c4 ~& F, q: `7 k" F4 D
      diffuse grain-here 0.5 ]
# [$ Y/ P6 S/ j+ A  repeat 10
# T/ {8 [1 c& y2 D- {1 [    [ diffuse grain-here 0.5]          1 t6 Q: G- ~. B7 P5 v# d, u
  ask patches
' F( y8 E9 m% @. w7 l) S    [ set grain-here floor grain-here   
; s: h8 Z5 e+ e5 ~      set max-grain-here grain-here      
8 u% u3 B% ]4 P0 @- l+ I      recolor-patch ]
/ A6 U/ w' p. v: k' S# [! hend
3 s/ Z- [, F! q+ mto recolor-patch  
, c+ a- r5 j* p  i  set pcolor scale-color sky grain-here 0 max-grain2 G1 H7 s3 P5 S
end! t5 X; ~7 v. b, }& a; b+ ~3 A
to setup-turtles
3 X+ m6 }5 d; b" E0 F  set-default-shape turtles "person"
. U( P* |4 B2 z5 ?8 F7 p  crt num-people
  `0 m+ S) Y5 l8 z$ u    [ move-to one-of patches  9 e5 }/ w, Y' k/ H! y
      set size 1.5  # z9 E2 P) g' o0 u0 K& H
      set-initial-turtle-vars-age  X0 X  Y% @7 ^3 G% X- @6 V9 N
      set-initial-turtle-vars-wealth
. u0 X1 Z- J# R  N. m$ f      set age random life-expectancy ]
) g9 r5 R3 ~) l) l8 V  recolor-turtles
4 }6 \: y3 Y4 bend
1 L/ g2 Z0 \! R, U2 \2 a  o6 D& ^5 l
to set-initial-turtle-vars-age
, M5 w( `$ X2 Z8 M, h4 r0 c9 i let max-wealth max [wealth] of turtles
& k& ?( L% L! [, N: ^/ p   
% a% X/ ^# n' {( J: P9 q* O     ifelse (wealth <= max-wealth / 3)
; v7 E) b! Q2 x9 O        [ set color red   w  y. P1 U+ V' }9 U
          set age 0
2 G. V( M8 U3 X5 T          face one-of neighbors4
5 ?5 W- q6 y, d) [5 u0 d; V) ^          set life-expectancy life-expectancy-min +  {8 H9 y- R( W$ S
                        random life-expectancy-max
! z  T7 x; S$ ^$ s1 n* ?$ s) Q4 o          set metabolism random 1 + metabolism-low( w' t/ ~' N" u
          set wealth metabolism + random 30! D& P  C7 |; W9 c( ]
          set vision 1 + random max-vision
4 [$ T9 h, `" \% p' }1 R2 m9 A6 `' x8 n             set wealth  wealth +  Wealth-inherited-low ]5 E+ J' c8 k* S$ |, p& J: V
        [ ifelse (wealth <= (max-wealth * 2 / 3)), R* o! ~7 X! j4 K4 J
            [ set color yellow
. v- B2 M; d2 I, C" ^              set age 03 F4 b* I; s% C. S! j& l2 _
              face one-of neighbors4
$ [0 G; r& \9 s' C- Y              set life-expectancy life-expectancy-min +
& O9 g( ^/ Z+ w- ~                        random life-expectancy-max + 1
/ Q+ w9 w. K; f" K, g$ a/ v9 ?. y              set metabolism  1 + random metabolism-mid% Q& ~# `# }5 C! q, S' V0 u+ f+ C
              set wealth metabolism + random 306 V/ w8 J( A: _/ i  k/ a
              set vision 3 + random max-vision
4 }. ]& b9 M9 ^2 V7 I                set wealth  wealth + Wealth-inherited-mid]" S' g+ R. u6 T' n) O5 W4 J; D% b
            [ set color green ' N. w' T. q' ]8 E: p
              set age 0. ~* ~$ A/ u: |: Q
              face one-of neighbors4
) k: f) z7 z/ m0 y: }6 f3 [, S% f              set life-expectancy life-expectancy-min +
, r( t6 i% g/ {8 z                        random life-expectancy-max  + 2
; W5 U+ j+ k5 ]5 A              set metabolism 2 + random metabolism-up( `: G1 Y6 E5 s1 G1 L
              set wealth metabolism + random 303 j& e) f  ~; Y5 p: i
              set vision 3 + random max-vision
7 }: h8 Y" d4 m5 @: P+ i: @              set wealth  wealth + Wealth-inherited-up ] ]
7 z! G: x2 S; \* `3 B
4 t; v  @5 \1 R; `! j$ Xend
* v' ?' U6 S7 ~. ]/ ]) wto set-initial-turtle-vars-wealth+ V9 }0 Y9 j2 \$ G; f9 c0 C: `
let max-wealth max [wealth] of turtles
" {- O# [& |0 ^2 c8 h& I          set age 0
7 B# j  J% h2 O% l+ i, R          face one-of neighbors4 2 }5 w* T# Q- C7 _/ o; B6 Z( x, W
          set life-expectancy life-expectancy-min +
' V0 W# B/ `9 U, Z; u                        random life-expectancy-max ; u' E- G) H7 s
          set metabolism 1 + random metabolism-up
$ B: W9 z7 f- N& p7 x5 n' |3 p          set wealth metabolism + random 30
' r% `2 m* R9 s5 A; q% B6 k1 |; N! p          set vision 1 + random max-vision
: g7 h. t# N! m/ ]2 ^end
. h! [& C2 y% V5 Wto redistribution
, C! H" J! q0 O) Xlet max-wealth max [wealth] of turtles
: w# Z" }8 ^6 E  Olet min-wealth min [wealth] of turtles
, \6 f* d, I* @) q4 Aif (wealth <= max-wealth / 3)
* S; k- X/ M# P2 _  H [set wealth  wealth + Low-income-protection ]  w9 e% e0 W9 N/ Z3 M4 X! ~/ D7 a
end1 a- d3 C1 Y/ O) K# R( \
         
, W+ _+ k$ u5 ?to recolor-turtles7 a% o: r* D* E. Z: s
  let max-wealth max [wealth] of turtles
; ?- L( C3 F  c* s4 k3 V  ask turtles0 y9 T1 E/ u" _( j5 `
   [ ifelse (wealth <= max-wealth / 3)
8 k" [6 h) T( L+ `$ w6 j. |        [ set color red ]
. P! ~( M* N0 e5 F3 D  f        [ ifelse (wealth <= (max-wealth * 2 / 3))5 g) g* }- G3 }6 C+ I
            [ set color yellow ]
) {7 E2 O  r0 {. c* \            [ set color green ] ] ]
# y( {3 J. F: g7 g6 u9 n+ b ask turtles [ifelse show-wealth?! }7 d* f% Y( A% L
    [ set label wealth ]
4 s) S9 b2 E/ Q# Y/ i; D, g3 v; ]    [ set label "" ]]
# a+ F0 B) ^% k% V  l* }7 fend
( x1 W# w4 p) N, o* _1 l+ f/ T: b
to go- ^6 k# W6 i: f, Y- s7 S! ], O
  ask turtles  U: y1 h  {3 e! U+ P' K, i
    [ turn-towards-grain ]  " P, T6 S2 G4 X7 c
  harvest
. `" F. [2 L) U5 \  ask turtles+ _! C! d  j, V) g
    [ move-eat-age-die ]
7 x7 @& t# h6 b9 I8 c& `7 E  recolor-turtles. ~" P% }4 f& @+ Q# c) K1 i" g
  if ticks mod grain-growth-interval = 0
) u' j( n# b" h+ ?2 T6 }    [ ask patches [ grow-grain ] ]6 O, U: c2 ]8 u" ^7 C
   
1 _4 A2 h$ t/ ^% R9 }  if ticks mod 11 = 0" h+ N1 w. G1 \$ ?# ^, s  Q; n% Y
  [ask turtles
' J: ]+ Q) J- {7 J0 V  [ redistribution ]]
2 Z% u+ ~: x( B2 n# W* F  if ticks mod 5 = 0
) D7 j( K' Z) H& r6 N. T; L   [ask turtles( x% _3 \+ z9 y2 Y7 a  Z' E5 X, E. T! d
  [ visions ]]
8 A6 K  U, i5 ?% q! _# C  tick9 H8 h9 I3 T9 ?+ x7 q) t/ M* X  W& V* h; Q
  update-plots
9 z- A' f& Z2 m8 _8 Oend
% E+ R+ x1 l0 k3 ~2 g% Yto visions! Z$ j3 F( {8 i* t
set vision vision + 1
, T3 _( V8 x( }: ]end8 J/ f  ^6 D1 u; a8 I( B) D+ }0 Q3 |

* r! n% c* c1 k% y9 |2 \( b! n0 h+ L, W% Q1 W- l( r. ~

, k5 B6 P4 A, Y2 M0 tto turn-towards-grain  % Z) ?1 g6 \6 D3 a/ n. P" e: Q
  set heading 0% q0 w' K/ J4 L! [
  let best-direction 02 W9 K2 N: L  ^! F. c. M/ ?& r9 S
  let best-amount grain-ahead
# ?9 Y2 f% r5 X0 i) n  set heading 90
8 G8 w# e/ @  f3 b: s/ r+ W  if (grain-ahead > best-amount). B' f! L% S& [: B4 m$ Z
    [ set best-direction 90
% w8 U- s0 S3 C4 t  b6 O      set best-amount grain-ahead ]
! @- n8 I0 t0 C9 X1 v- b  set heading 1807 `2 `4 f7 p1 Z: g8 O/ Q
  if (grain-ahead > best-amount)! T, h% Q& A" U3 n! i  e; s7 ~! p
    [ set best-direction 180
" f0 {0 |; r8 L! H, A      set best-amount grain-ahead ]
) P: D  U6 C2 N) f% [  set heading 270) e/ A1 M8 `1 I7 {
  if (grain-ahead > best-amount)
3 \" ~7 Y6 c; s! I- v3 l    [ set best-direction 2708 V7 C  m0 E' X0 H0 B
      set best-amount grain-ahead ]
  G4 [# K! c5 d: G7 u  set heading best-direction9 ~8 d" n( G& |9 A1 \" b+ I4 T
end& \' k$ `. T% m
5 [* ~) o' X9 ^9 J- h
0 ?( M3 L& ]5 A* N+ J1 t4 c% o
to-report grain-ahead  
/ T+ I5 P% Z' @) L- a+ r  let total 08 ]. g3 a. k0 S
  let how-far 10 t" D3 B9 b; \2 z$ ^, u9 b) A2 `
  repeat vision
5 W8 {6 s% G* N* O, `" |    [ set total total + [grain-here] of patch-ahead how-far7 z# A' U, `) k+ S9 N
      set how-far how-far + 1 ]6 q" [5 `$ Q- J  a6 C$ f2 y+ u
  report total
8 |+ h% R$ d1 y. @' u. I4 m4 Kend  j( Y/ i' T" m, b, O

/ ~, {- Q# B' X' V  l7 [to grow-grain / B% |; T9 _$ [; V& w1 q3 O
  if (grain-here < max-grain-here)
; m4 b+ t: J1 _* m. B) {- q    [ set grain-here grain-here + num-grain-grown
# J, ]3 Y' j7 r' W4 m% n! H$ j      if (grain-here > max-grain-here) 2 G+ n5 i  @+ |5 G# ?' j! J
        [ set grain-here max-grain-here ]5 z7 T& a8 D7 b' r7 R
      recolor-patch ]
+ W% ]( z' e5 A! bend) [7 u2 s& H; E' S; K! L
to harvest! m5 c5 J+ Y' H" u/ l
  ask turtles
% Y/ w; f$ ]  I" q) ]    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]0 b* }& K5 _! u+ B/ B5 N
  ask turtles6 a. _* u8 X% ?: ^8 q
    [ set grain-here 08 l4 D# l  u8 `6 T3 A$ T
      recolor-patch ]
4 U9 S( r/ X  l+ r8 \- [+ o  
) v' G5 p9 j% hend  ?" P( B( w; _: G2 \$ {. R

% G- {( D" ^6 g5 g  n, }6 {/ J. Eto move-eat-age-die  
  g# a; y! g. y0 T  fd 13 q6 D' S2 r1 d# |, v5 `
  set wealth (wealth - metabolism)* ?7 H$ k& G4 T0 p' x' b
    set age (age + 1)
' p6 H. x) p6 a; K2 D  if (age >= life-expectancy)
2 E, e9 b9 y  p8 \5 G    [ set-initial-turtle-vars-age ]1 X- M( I, r, k" C; V( m
  if (wealth < 0)
6 }7 ~2 N# X3 w8 r    [ set-initial-turtle-vars-wealth ]$ ~3 z* Z# H( V: K  c) O3 y* n/ b
    ; x4 e% ~. e! ~7 K4 P- {2 H
end9 q! Z" F' q% J' Y8 \* E2 d* M
% G+ ^: @; e6 ]3 I' `9 U% h7 ^; ~
& M& k' a! _* h9 H0 F
to setup-plots+ P3 t. O0 I5 P/ z6 e1 {
  set-current-plot "Class Plot"
; a2 }& C# q5 ^8 Z  set-plot-y-range 0 num-people
3 @7 |$ K  B8 U2 d  set-current-plot "Class Histogram"3 A" s0 n2 b3 T" }, [: E2 V0 [# S$ V
  set-plot-y-range 0 num-people
5 g0 L9 b) q& ]( r& uend7 X) r0 _& |7 L+ C7 }

7 ]0 n  L( q) e0 B; \to update-plots; D) i# A8 n: z1 ?
  update-class-plot
8 L0 H# \1 R% Y5 T# E1 Y. M9 c  update-class-histogram; x' `3 I( A8 L$ m& L
  update-lorenz-and-gini-plots, k3 I5 [  }; H* ~# S( R, S# @/ e) |
end. Q2 t" D, u- b- v

6 p/ q$ l( M7 x$ r$ \2 z9 Mto update-class-plot
* B! G% A" Z0 n, ?  set-current-plot "Class Plot"8 X' p! L1 _$ N6 k
  set-current-plot-pen "low"
. h8 z% g+ W8 Y  r  plot count turtles with [color = red]
; ?  }1 Y( q7 t) o  set-current-plot-pen "mid"
7 D. T. L4 C; P$ }5 Q  x( ^  plot count turtles with [color = yellow]+ d( ?+ B2 H' ^2 z" E- X; s
  set-current-plot-pen "up"
% ~  O5 S0 z* o: u5 |  plot count turtles with [color = green]
/ e6 H' P! m, ^3 H9 |8 V2 Bend' ~0 \" [/ S7 `$ v2 U, \  t
. r& H; f5 ]# N' w7 {* c
to update-class-histogram
" Y5 I4 T2 q* |( P0 L' R  set-current-plot "Class Histogram"' Y. ^: w- K- u0 }( [
  plot-pen-reset+ s+ G0 K1 ~$ [/ }- [3 G; W! x
  set-plot-pen-color red) ?& C1 y3 u; E) p
  plot count turtles with [color = red]
; V  v7 c* M' L9 ~/ ?% F, M  set-plot-pen-color yellow& b9 ^. Q- R* z
  plot count turtles with [color = yellow]& T6 G  _0 r9 m4 M8 y* m; H
  set-plot-pen-color green! ~4 I+ ]- m: y. M* T5 \
  plot count turtles with [color = green]( |; w- R7 O0 ?
end
3 C) X" U8 R+ c- i9 D0 d  kto update-lorenz-and-gini-plots& r; I4 p  N/ T, z
  set-current-plot "Lorenz Curve"
1 p! K* K4 I0 {! s, y# Q5 N. g) `3 P- B  clear-plot
# _1 V  r* z7 K) l! j1 F. a( n8 S
  set-current-plot-pen "equal"7 b9 Q7 K2 W5 n+ g3 b
  plot 0
, T4 a2 y9 e& V3 q/ f2 I" B- |  plot 1006 t2 T" I7 w7 ], H7 w
* q7 l$ }7 J3 s6 E# H
  set-current-plot-pen "lorenz"
$ n  E2 P: Q9 z  P/ q  set-plot-pen-interval 100 / num-people
: x- T& l6 a% |4 D! Z/ i* q6 E+ E/ l# p  plot 0# E+ E& Z  X; }2 u/ Z/ [
; q8 H% ~; \3 {
  let sorted-wealths sort [wealth] of turtles
' i, a* Q4 g! A# M1 f% r5 {8 e* l% \  let total-wealth sum sorted-wealths+ x* n9 [3 ^0 n8 A
  let wealth-sum-so-far 0% m: p9 @! N* N+ e
  let index 03 W( m5 D# n  g9 D) {
  let gini-index-reserve 04 T; H7 P$ u6 J! d: C

( Q1 i. C  j# ]$ ^9 y5 `  repeat num-people [% G% S8 H6 w3 d, w0 k
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)7 A" }1 [/ K: T( @- X
    plot (wealth-sum-so-far / total-wealth) * 100
' D% t2 K$ }4 J! u4 h# T    set index (index + 1)
3 p/ v+ D- c) i5 u2 z    set gini-index-reserve
8 ^: X& |1 \4 ^5 z- i$ O5 A) g8 z      gini-index-reserve +
9 j6 K  f; ]( p7 h7 h' ^( Y      (index / num-people) -6 v$ m8 S0 X0 L5 q5 n, D
      (wealth-sum-so-far / total-wealth)
$ S- ?- t! @7 _1 n! ^, p) p* ?) [' z0 q  ]
: O( \! l' u( ^8 ?" {, V0 S
& V4 j' R# |* N* J  set-current-plot "Gini-Index v. Time"
5 ^5 t1 t2 i/ u3 g  plot (gini-index-reserve / num-people) / area-of-equality-triangle
5 r& i2 [* }2 e: b2 |0 \end9 f( q7 ]1 U7 p' j9 S! G  w
to-report area-of-equality-triangle
" o( s. ?$ v0 K  ^2 m  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
6 y% B. g# U$ M+ u) {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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