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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% Y! z$ q  W4 V" _2 m- c+ s+ ?( s
globals
; I( m  k/ }  [4 D; d3 J+ M[# r- _4 s* ?1 w& S. [
  max-grain    : O+ G$ L3 Q9 ~$ _

8 I' A+ w4 ?" |& I. b]8 z7 n9 q2 [2 ?, H

& }# {7 A. t5 T5 x  Z6 n  {. b% b$ t0 upatches-own8 Z0 N  z+ M1 v9 ^
[
0 |+ K# V; h2 j5 Q3 B. ~  grain-here      8 d* D/ G+ }& a3 ~; t
  max-grain-here  " E+ Q) w# {; @& E# y3 m
]+ K! V" ?# t: A+ ]) B- S7 q

- ^1 t- S! j$ t! `' v: {turtles-own
1 c6 V) F  Z* }2 L# B6 t* B& u  r[1 d$ L) C0 A( X
  age              
+ f5 ]$ _' d  c  wealth         
1 K8 T- a/ b$ |  life-expectancy  
( P8 ~. }$ _! |8 B- }/ O  metabolism      
4 D; @/ q% Q8 I; l5 t6 L% U9 l  vision& n6 J" t& y* `0 Q" i
  inherited         
, k+ ?( D1 }7 W% n* C]
, j0 P5 E9 a+ T6 M
5 d3 Y7 N0 f' h% h  K2 `$ `( w2 \3 o4 M; u7 t2 F
to setup+ g( a3 L0 {7 B* Z" p
  ca
( h* @- y9 D* n* e$ T  set max-grain 50
& ]# ~  {4 ]# {6 y9 d8 P  setup-patches
' k# G1 c( V. ?  setup-turtles
$ Z& |- T0 i' G0 `7 p5 e  setup-plots2 P  u, a- Q: {; z
  update-plots
+ M0 v; d2 L% o7 e( J1 Mend
9 {1 Y( R5 f+ R$ U  }" eto setup-patches
# k; u" A$ \0 k0 ^8 S- k/ r3 J- P  ask patches& H4 ?1 j9 s: a* S, s
    [ set max-grain-here 0
- X3 O# [5 U& S  a" U* g      if (random-float 100.0) <= percent-best-land
' j+ Y# q# h9 E  n        [ set max-grain-here max-grain9 z% i( C9 j- b* ]6 Z. A9 Y9 u# \& x
          set grain-here max-grain-here ] ]: w" u& x' |  C" k4 u, C
  repeat 5
. F8 W! o( c* v7 c    [ ask patches with [max-grain-here != 0]2 ~' J/ v) D" c) i( L
        [ set grain-here max-grain-here ]& _* z$ g8 l1 i! }- \& T( w# R' {6 i
      diffuse grain-here 0.5 ]3 Q% m+ _/ P4 ?) |+ C1 Z+ _0 K
  repeat 10+ y& z( W( G% G3 ^3 w7 h
    [ diffuse grain-here 0.5]          2 R& U6 T% y* N/ h, I# w) T
  ask patches) E# E: p% F/ t8 a4 M6 W
    [ set grain-here floor grain-here    7 y' L2 e% @, f. H% o! u" w
      set max-grain-here grain-here      . [3 @, u8 [' ^1 y# s0 K
      recolor-patch ], C! n1 Y# B0 n- u% M7 h# L$ P; j% Z
end: S8 I1 u! P  F) a. j+ J
to recolor-patch  
9 ^0 G5 u" r+ ]6 ]5 z% |8 a8 b0 {  set pcolor scale-color sky grain-here 0 max-grain9 A- i3 X" `" c# m2 f
end
4 r( r5 p: I# E/ B1 _to setup-turtles
' A0 a: e/ W5 ?  set-default-shape turtles "person"  Q+ m0 h& V9 N$ R5 w
  crt num-people) }  y, R- T+ c4 g2 n( \
    [ move-to one-of patches  
- b- B& \+ k# y7 U9 ]9 o0 P      set size 1.5  & L* m1 \1 ]4 j# Z  M! T
      set-initial-turtle-vars-age; k2 o3 s4 F7 l4 z
      set-initial-turtle-vars-wealth
  d2 R5 A  H# l  A7 s      set age random life-expectancy ]
4 R& J* b* ~) ]# l" ~6 P  recolor-turtles  c% l, W% f- y+ W: k1 S- E$ V
end! A8 a( Q% n; w: m

" w+ @0 f$ e8 p. dto set-initial-turtle-vars-age
2 x' `0 x% \4 q' U let max-wealth max [wealth] of turtles
% Q7 W' s% V& B7 z9 Z   
4 o0 j4 W4 |' N6 ^$ O% _6 D     ifelse (wealth <= max-wealth / 3)3 ~9 \$ t; a2 q: A  Y
        [ set color red ; i7 r/ m+ Y2 F
          set age 0
) T+ }( A- _9 ]) I, o9 J; A% X( U          face one-of neighbors4 ; Q! _/ z+ Q& G
          set life-expectancy life-expectancy-min +
6 B* }. m% w: L* X0 M+ i                        random life-expectancy-max
* K0 }2 m7 c; x0 M# r! Z6 A7 Z! y          set metabolism random 1 + metabolism-low* x: a# S" Z" c9 ~0 x' a9 X
          set wealth metabolism + random 301 x( m+ U( H7 D0 @& \' |
          set vision 1 + random max-vision6 ]/ H2 g; d9 r" b
             set wealth  wealth +  Wealth-inherited-low ]  O/ d9 v/ T/ G: {: V
        [ ifelse (wealth <= (max-wealth * 2 / 3))" P6 R7 B; s$ q
            [ set color yellow 4 Y3 C/ w: M; o& {3 o" G
              set age 0
" i; H8 q5 Y! w+ s( W  F              face one-of neighbors4 ! w" c! m! E' Z1 P' r2 f- [9 U
              set life-expectancy life-expectancy-min +
, N$ X  H8 Z5 q" a6 A" B/ t                        random life-expectancy-max + 1
$ h' ^  T: s: |( `1 }% c" y              set metabolism  1 + random metabolism-mid' s& [0 \& f" d: x, G5 L& m, }
              set wealth metabolism + random 30
2 q$ w- F/ i$ I. |( R- k              set vision 3 + random max-vision, y( d  ]- m. a0 p# j! X
                set wealth  wealth + Wealth-inherited-mid]+ [4 @: f: U1 y. P
            [ set color green 7 Z4 ]5 t- x- \: K3 Q5 j8 p
              set age 0
8 I" W* |: d- S- q3 t# F, I" t              face one-of neighbors4
& F* L- J2 N; A) b# N; K" S              set life-expectancy life-expectancy-min +
7 U, x4 m; f3 v# K! B1 X) t                        random life-expectancy-max  + 2
8 s9 a" z/ g" C. q3 V, W              set metabolism 2 + random metabolism-up" G+ H  d" z9 y8 @( v: @' |6 ]9 R0 _
              set wealth metabolism + random 303 t. A, Y1 j2 F, f
              set vision 3 + random max-vision' U; w* I4 u  E: `: m2 N
              set wealth  wealth + Wealth-inherited-up ] ]
) |3 z, j, D8 Q' N- n; z
6 f% ]9 ]6 A( rend
5 Z5 Y, e2 C5 pto set-initial-turtle-vars-wealth
& m' K) \* J& u let max-wealth max [wealth] of turtles
' Y( u" \, i1 |9 ~          set age 0
  i8 R! a3 k* n0 r* P& s          face one-of neighbors4 ! g9 }, P, x% n1 D. A
          set life-expectancy life-expectancy-min +
9 f: }: z9 N( y: u                        random life-expectancy-max
" ~% ~3 ^8 ~8 }* p' h& v9 X) X% a& [+ S          set metabolism 1 + random metabolism-up$ f. T  g; b3 r7 Z5 S
          set wealth metabolism + random 30$ k0 b' a; D+ }1 K5 t. J
          set vision 1 + random max-vision / E( H+ [6 S" a0 }8 @4 J% l
end/ J8 w1 u$ Y  q0 V) K9 _& [# q: C
to redistribution5 j/ e  y7 {% I; b0 W& ]
let max-wealth max [wealth] of turtles* |) F  f, u$ |! o  I) c
let min-wealth min [wealth] of turtles4 i7 Z* ?1 u% _, c" f/ J8 n
if (wealth <= max-wealth / 3)8 N3 i; |  E# [" m& X) Y# z
[set wealth  wealth + Low-income-protection ]
, u" O  a& o& C2 Y' aend, B9 u) Q8 s6 E$ R# ?$ l
         
0 q2 A% }4 x1 f0 V( ~3 pto recolor-turtles2 a0 u/ r! F4 x( j/ e# `$ d- ?2 M
  let max-wealth max [wealth] of turtles
: g9 r2 a. k# M7 |  ask turtles
3 N. _+ j  e4 r4 W* D, X/ |   [ ifelse (wealth <= max-wealth / 3): K/ K/ M4 A- H- y
        [ set color red ]( n6 F/ ]7 b& a
        [ ifelse (wealth <= (max-wealth * 2 / 3))
5 ?( e& u& |5 e8 F9 f6 F' G            [ set color yellow ]
4 V2 ?% }/ ~/ D8 y$ R. F  n3 k            [ set color green ] ] ]
& @- v: \5 U  G8 n2 C1 z. _ ask turtles [ifelse show-wealth?3 S" m& q  @& h3 Y; d
    [ set label wealth ]
9 r/ o  i) r1 Z8 U7 F4 m    [ set label "" ]]0 i. [6 C3 J5 ?& i# {
end
: B2 m  X; g+ o# Y% u6 u) W1 l+ X5 A: Y
to go
" R2 r2 K! @" l0 d# F0 n& ?  ask turtles
, t8 e0 E  {2 x6 b% L% j    [ turn-towards-grain ]  
- n* [' g2 I/ U0 h8 j4 k# o  harvest
: C  |# `* v" g5 g" G0 g: K# o  ask turtles7 Y5 m5 {! ]2 g( s) v2 q, V! J
    [ move-eat-age-die ]
$ W9 [  A2 }2 _; Q  recolor-turtles0 v+ ]3 C& X- `0 ]7 u$ x# V+ P  u. Q
  if ticks mod grain-growth-interval = 0
7 P+ D. g6 v+ W3 h' x8 h% `    [ ask patches [ grow-grain ] ]: d' _0 R2 a7 q/ B) n2 i* F
   
5 |( w# b, L. h' _  if ticks mod 11 = 0
+ K, m* n4 r! Z: c9 Q% H# c6 d  [ask turtles9 U7 Z. x# Y: y% Y4 o
  [ redistribution ]]% d: N6 Q$ h2 [, q
  if ticks mod 5 = 0( O5 ~% e3 V" t# _$ ~+ ~9 G8 f$ e
   [ask turtles
8 v: E+ Z$ M4 M( @' _8 R' @  B  [ visions ]]3 g- S, {3 S$ b1 Q: x/ S, C
  tick
' _6 A0 U) H1 I1 M) a  K  update-plots
" J2 z* l" d$ e5 \8 U) Q: Eend
6 G# M* M- [2 H  s+ k% r, m5 D! R9 fto visions& d9 i+ f3 _3 f% d6 g, `
set vision vision + 1
) o/ g& X" o4 @0 F! @end# |! p! |- F/ j3 P9 a
  s% J. [. ^7 S5 @8 `

% Y) m4 t( i% Z# Y7 W* ?( G# G
0 ~# H& Z- h$ g2 `# xto turn-towards-grain  
" W6 H5 o6 C3 J8 }, h; k  set heading 07 u9 |2 b# O/ B" z$ D2 e" o+ W
  let best-direction 0
3 {, t! `% e5 L( G8 H  let best-amount grain-ahead3 I6 x7 |4 n2 s( z/ \
  set heading 90
  v) ]1 ]; {8 P2 j  if (grain-ahead > best-amount)
- A  k# W. [$ i( ^4 y" p- X6 e; m    [ set best-direction 90
+ }5 o; e) m3 m6 K5 Z1 }      set best-amount grain-ahead ]! d% ^# G: C# w+ z& M, a6 n( v
  set heading 180& y8 d) f/ [  l- f
  if (grain-ahead > best-amount)8 i9 A& c) C" V3 y; C* y
    [ set best-direction 180
( R% k" Y8 X+ j# N* L8 M2 l      set best-amount grain-ahead ], i) A% t& f. c7 S4 ?
  set heading 270
; A' v% M$ k# c$ D* f  if (grain-ahead > best-amount)
6 @& I) q" c% Q  T    [ set best-direction 270
  t/ h/ X: B+ ^4 t7 q      set best-amount grain-ahead ]
: G6 q1 Y9 |2 C) K# ?6 f  set heading best-direction' b0 \5 `! M" L, H
end
% A( X" P8 h8 F% K  a9 L+ q4 b' R; f2 R( {- v: h

0 {( e/ J, N/ s$ |0 Pto-report grain-ahead  9 N1 F, u  D2 ^0 F6 \0 v" W# [5 t
  let total 06 b- r" B, N! y0 w. z
  let how-far 1* U' n& ^5 I# j
  repeat vision& T/ [$ c. O3 G$ z, H
    [ set total total + [grain-here] of patch-ahead how-far+ u1 ~: v  K. `
      set how-far how-far + 1 ]
  x  U/ C1 b, v8 Y) i# I2 r5 ?: V  W  report total  t& x3 y' ^) f$ `# ?
end
8 b! m7 J; ~( p! _  `+ u* R- p5 x# N9 Y  w# B
to grow-grain , S# v4 u! u+ n" ?% e
  if (grain-here < max-grain-here)+ F, Q" s* H( j$ V0 @* `. _
    [ set grain-here grain-here + num-grain-grown
5 f( J# K  d5 P      if (grain-here > max-grain-here) 0 h( H" x, m+ v) w; M
        [ set grain-here max-grain-here ]
1 S9 H1 F; H- Y4 z; t/ p      recolor-patch ], z6 \* T9 h) y, a- I- ?( g
end
! a( t' v" |3 c6 f9 P5 j) qto harvest$ f- `* a! E8 M7 n
  ask turtles& _+ g0 ]! t2 s
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
3 M! C1 c/ D  v. H8 i6 ]6 y  ask turtles
; X1 g- p6 L5 e# U    [ set grain-here 0
7 j& l8 N9 G, d8 }8 w      recolor-patch ]
, D/ v/ L) u5 m  & R/ s: Q% y5 p- B/ D+ u
end4 X  }( G: w+ ?3 E3 ~
& L, b+ Q  d' p5 ]+ G; O# J
to move-eat-age-die  ! t: R  @3 ~; K$ ]8 A
  fd 1
/ \0 q4 Q; `+ e) `/ Q% w0 p  set wealth (wealth - metabolism)* m4 u% ^, F9 B& p8 }3 @$ T
    set age (age + 1)
, u8 t+ ^) O9 \; G, V0 x  if (age >= life-expectancy)2 [1 F" t6 I5 j- S0 {$ a! M
    [ set-initial-turtle-vars-age ]+ ]2 h- k$ O8 ]
  if (wealth < 0)
5 b2 Y+ M& N$ Y0 q) o  T4 D    [ set-initial-turtle-vars-wealth ]7 H4 H7 s3 D, P8 N6 X
   
. J8 b2 }' W' Zend
& N+ X- K/ d4 s
1 M3 |- ^+ Z) [8 p; G0 D6 u
2 R2 x! }, i6 Y) v' c: Bto setup-plots& Y) h) k- W* r2 g; f7 b
  set-current-plot "Class Plot"
% d1 e2 I7 K0 D3 T" t2 J  set-plot-y-range 0 num-people
5 j; _" A* P7 Y, e6 x  set-current-plot "Class Histogram"
$ }. ~# P/ Y0 k; b  set-plot-y-range 0 num-people/ @: G3 V" u/ t" S" a; m5 S
end
- r4 j% q  ^" g7 g! d, |- m
* L  p0 v* E' R1 Q+ @7 bto update-plots
+ S: E- \' a5 ~: }  ~  @  update-class-plot
$ ~. ^# D) f# Z# F! H, u1 B2 m  update-class-histogram
1 @- V2 X6 u/ b0 w: ?, Y  }/ k  update-lorenz-and-gini-plots
. L: W. v3 C% ~! I& mend+ A+ g% q: N- P9 }8 ^, i/ P. Q! N
) j5 f7 b5 i$ j6 x+ M: X" U
to update-class-plot7 K' R$ H5 |8 g- ]; ]/ L+ j
  set-current-plot "Class Plot"
% {2 V) Y, n1 q  x  V  set-current-plot-pen "low"
3 P, U' r+ s2 e# w# m; M. S7 O" R, P  plot count turtles with [color = red]
; l2 Z' D; @1 l0 R  set-current-plot-pen "mid"$ R& U7 c3 }4 f4 a+ G# L  _; r
  plot count turtles with [color = yellow]
. T+ d0 S' u4 _3 {" E/ T& X  set-current-plot-pen "up"
8 t) d: K5 ]( F0 X/ Z! ~" B  plot count turtles with [color = green]% g6 q& E: A/ c, f$ m4 D
end) @2 ~+ t! R0 ~) K3 E; q" ~/ ]
5 v# u& i5 l/ n3 [, Y5 j0 l# a
to update-class-histogram
9 _! V0 F% T) K7 i0 ]  set-current-plot "Class Histogram"5 ?+ D5 ]9 b% l9 F8 f5 k
  plot-pen-reset
( V- A. {' w  G$ r8 p) T  set-plot-pen-color red
, Z" {6 ?2 {; F, O) }3 ]  plot count turtles with [color = red]
9 v* q1 k  p: i8 \0 v) T- B% Z  set-plot-pen-color yellow5 b% e$ ]7 V& d
  plot count turtles with [color = yellow]2 t; N# d& ~: t4 _
  set-plot-pen-color green% d7 p* G, L. U6 Q4 a! J
  plot count turtles with [color = green]
+ x- \! ]  P  t' V. o. ?3 Wend
' q/ j7 I$ V" }to update-lorenz-and-gini-plots
, P% W9 m2 Z2 R& i4 l  set-current-plot "Lorenz Curve"% I8 H# y1 s6 [
  clear-plot
- C9 U) _% b, S6 b6 w0 Q
# B1 X; Z' {2 a( E1 \3 ~9 Q; c: y* w  set-current-plot-pen "equal"  Y2 g% A( |/ a( k
  plot 0! d7 P/ Z$ x( }% T
  plot 100
' v* d( q# t" W6 R2 q
7 ]) Y" k( Z! C  R8 I  set-current-plot-pen "lorenz"
) f; [5 l( a8 `7 W9 t  set-plot-pen-interval 100 / num-people
: t% m; [; T. r! M6 U/ L, J  plot 0- T% {- _6 p$ Q( k

  f; e$ J5 n6 C. S1 s' |  let sorted-wealths sort [wealth] of turtles
0 `6 l+ Y- H! {9 B+ e! |  let total-wealth sum sorted-wealths# ~6 ]% [2 i: i0 @/ q+ g
  let wealth-sum-so-far 0, n5 i* \: y" U4 R& R* F: V
  let index 02 u4 H5 X% b! }$ X+ a
  let gini-index-reserve 01 _4 ?8 ^  A8 }8 `  R

* p+ j$ b0 x/ X, P7 z$ `5 ]  repeat num-people [
/ I* J3 t: t3 u- e& m) s' @0 \5 E7 K    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
0 m1 a% S# C" [/ `# E% N2 d2 B) J/ E' D& i' S    plot (wealth-sum-so-far / total-wealth) * 1000 M5 t/ R1 l% T
    set index (index + 1)
; z* `& B7 d1 D# R% x$ ~; k- p    set gini-index-reserve
( Y/ s6 x: t5 F# o/ p' O( o" J      gini-index-reserve +
% _/ T* S/ S5 z: _+ v1 ?, \, S$ ?      (index / num-people) -0 M; x3 @/ b6 J& F
      (wealth-sum-so-far / total-wealth)
& A3 y, K) u0 F6 s  ]2 u! c  P- A0 d. x; N+ n$ h& K3 B8 W

5 u- t6 j+ Z% A9 B9 S8 Z  set-current-plot "Gini-Index v. Time"6 h% [2 Y+ ~! P+ [* ]
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
0 J& j6 A7 A, W+ c; p" H* X: uend
' B2 G" u# j, J/ o, f. v& g3 Pto-report area-of-equality-triangle
5 V2 |" u) R- ?4 i6 d+ s  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)3 Z% P- h" O9 J! \1 N; j2 R( K# v
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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