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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
% ]3 I) J0 d( A9 t3 X. }8 X# uglobals
" U* ]+ ^% |# e[
( o* n5 D" V. w! u  max-grain   
7 v3 K: R# D% ?  i8 }
. m4 n  T. c' P3 Z9 P- Y1 ^]& D$ W  r# l. ~# Q
1 D  ?' y; }- P2 b
patches-own
4 D( n- z; [9 U. h3 D0 L+ D  \[
! v& W% u. k# l) V& V; D4 n0 r  grain-here      
4 V, P2 N: m7 }  max-grain-here  
5 {. m# S$ M: N! W( f]+ p) ?6 p- W4 U% v* J7 d# k$ x
, I% c. O  H# V! B
turtles-own
* e3 F9 b4 s4 F& {& _7 \[8 R1 j5 x) V9 E9 s) G5 i- O
  age              / q* K( U9 B  k8 j. r$ y
  wealth         
4 s' M# Y9 A, N; j# \6 V# d3 X  life-expectancy  4 [6 f" e" r' _/ d  e+ A  E) Q
  metabolism      
3 [0 w+ n  Q: I  vision
+ k5 W, A. {- J6 S  inherited         2 ~8 V" M7 x9 p' S( s0 O, l
]
/ A1 x4 a( \+ c, R; P9 O
' k. R7 W# y, C" Y* P" L$ S: d8 A- b9 l7 m# J8 W" _# `+ b
to setup3 b% `: w, i$ g
  ca
8 j6 I' N) Q5 M3 s& U* @  set max-grain 509 G( `2 d' {( b# Q4 t8 a% m: ^; |
  setup-patches4 E+ T# w% B( m  U
  setup-turtles
* V5 y5 X, K6 K" H* m  setup-plots
* R+ c  O% i* R, k2 Y: D3 X  update-plots3 l0 W( p# e7 ?
end
, ^! _& ?8 v  z0 E- ?to setup-patches
9 ~+ f* a' [# o9 B) E  ask patches
, C5 H# M- Q" I3 r' r    [ set max-grain-here 0
/ D- Q4 ?7 Q3 X0 G& f      if (random-float 100.0) <= percent-best-land( K$ R, ?! R2 A) X8 l! w0 ]
        [ set max-grain-here max-grain- {" C1 c  T: V2 ?. t5 s9 B0 j
          set grain-here max-grain-here ] ]. }% a- l  M4 {: a! J
  repeat 53 S7 x4 V9 o& o! q  S/ e# w
    [ ask patches with [max-grain-here != 0]- O2 ]. p$ {- p7 L! R6 @2 z  p, W* q, f
        [ set grain-here max-grain-here ]  x4 F  L! j; o8 ], k
      diffuse grain-here 0.5 ]# A& R  B& L; `- C7 V4 W( R
  repeat 10: m' O5 u) R' o3 L3 V) u
    [ diffuse grain-here 0.5]          9 `+ F2 c( |$ ~3 d: S. e
  ask patches3 o. Q- q4 o& y3 a7 M
    [ set grain-here floor grain-here   
& M8 C! M" k1 a+ e& n      set max-grain-here grain-here      
# ^2 f% D& v8 ~% I' k( F      recolor-patch ]9 {& C  y. L; F; r) V/ I  N/ Y# t
end4 ^! ?$ `' H$ `5 }2 ]# _; B6 d
to recolor-patch  9 S, a1 `% T3 @/ j9 U
  set pcolor scale-color sky grain-here 0 max-grain. n+ K" k! g7 P9 H; i8 e
end
( u, P5 D' g/ A/ E+ p, S& ^, ?to setup-turtles% d- _  Q* \4 D/ O, {
  set-default-shape turtles "person"
8 j+ I# o. {# i6 H  crt num-people
& x& ^% T: ]; U5 S5 L9 g3 d7 R    [ move-to one-of patches  - T- P* J6 n  _' Q0 |
      set size 1.5  
0 v8 Y4 |3 l6 K4 f0 ~) A0 c      set-initial-turtle-vars-age
7 G& J$ w( l' q3 `7 U- ?2 d4 k      set-initial-turtle-vars-wealth
0 o: ]& U* A; h$ x: J8 b      set age random life-expectancy ]+ q9 T5 z* U& N" D4 W
  recolor-turtles
; Q( i  E1 U( c* z# f4 jend6 Y/ b- O  @( M5 d# u: Q9 I

7 G+ e' D2 C' J0 _; w( t5 bto set-initial-turtle-vars-age
: \) P2 F  C& W! i# U& g let max-wealth max [wealth] of turtles' _+ H7 \3 \+ W* S
   
9 A# A1 H: i& \0 V9 m7 a     ifelse (wealth <= max-wealth / 3)
1 c' \4 c. T7 N; }' w        [ set color red
5 ]' W( w. K( i0 s7 g! j; s          set age 0; _! i. J2 L" z. g8 G/ y
          face one-of neighbors4 : w; m* ^: o/ G
          set life-expectancy life-expectancy-min +4 @; n/ @. [4 k: Y% ^% v
                        random life-expectancy-max $ U0 v2 X: i7 Z' U7 _
          set metabolism random 1 + metabolism-low. }: Y; J. Z# _; r( l' c
          set wealth metabolism + random 30  u* b6 \% \7 g
          set vision 1 + random max-vision
2 W# x- T) a, c0 E3 s% V             set wealth  wealth +  Wealth-inherited-low ]/ N3 q: n+ L3 @& B5 [
        [ ifelse (wealth <= (max-wealth * 2 / 3))
6 {/ _7 u5 ~8 j1 m9 G+ q5 y- `4 g            [ set color yellow * \) a. Z+ O2 p: `$ N- E) n& a2 x
              set age 0
3 c3 L5 I  c3 a7 ^              face one-of neighbors4
( |# u* z( Q9 r& k$ x              set life-expectancy life-expectancy-min +
9 o/ Y0 D$ e2 _" t5 a                        random life-expectancy-max + 1" y9 S6 o* Y% T- \$ u3 M+ P
              set metabolism  1 + random metabolism-mid
8 w4 G) o2 Y* u* v- ^( T1 v              set wealth metabolism + random 300 }* T: l; \8 y; P
              set vision 3 + random max-vision
5 R, s3 g7 @- K' h# v                set wealth  wealth + Wealth-inherited-mid]- W( q9 f2 _" @$ u1 Q# F
            [ set color green
/ v8 d- f' T; t( b              set age 0  X* m5 G" q( [3 J
              face one-of neighbors4
) v1 z. g# g3 o  p+ u1 O9 ?              set life-expectancy life-expectancy-min +/ R( D2 b, C7 \/ J
                        random life-expectancy-max  + 2
6 p9 @3 C# R* P              set metabolism 2 + random metabolism-up
& B! J$ a+ a9 L' w# n              set wealth metabolism + random 30
1 _5 B5 g4 H' y6 O              set vision 3 + random max-vision0 N1 F. |6 ^' e9 o
              set wealth  wealth + Wealth-inherited-up ] ]
0 Z/ B3 ~4 L/ J2 M7 n7 }+ Q   C/ W4 i3 W/ F, \
end
" m) E) S) s+ H) \to set-initial-turtle-vars-wealth; I3 S1 }- S" E( t  q9 G2 z# r
let max-wealth max [wealth] of turtles
2 ~  v# w- U2 N! |5 `3 l          set age 0, Q+ [; }5 v4 l0 t. \# _6 o" k6 U5 P
          face one-of neighbors4   s% k& \4 c" r
          set life-expectancy life-expectancy-min +
( Y! G% e* @( o; J) s: S; _                        random life-expectancy-max * \* B5 x0 p% x! b$ o3 x
          set metabolism 1 + random metabolism-up( _0 Y" a8 u" w6 I7 }5 I! J
          set wealth metabolism + random 305 W' }& q' q! R
          set vision 1 + random max-vision 8 `7 y; p' d, Y" ]- E
end7 d% V1 W  b7 o* E$ \) ~7 d
to redistribution
4 c' k5 _; I/ J' C+ F* i/ a( V+ Jlet max-wealth max [wealth] of turtles
/ r4 b& u8 I) e5 v3 glet min-wealth min [wealth] of turtles
0 C* Z* l: r/ d$ ?8 w1 Y5 Dif (wealth <= max-wealth / 3)* u: }' E) @1 d+ _' Y* R
[set wealth  wealth + Low-income-protection ]! R& g0 i! }$ n& _% N
end
+ j. F$ Z0 w# I$ s; s1 S          ! i0 Z/ N. A- t: W' g
to recolor-turtles" d* d. Y3 m8 {1 ~; g
  let max-wealth max [wealth] of turtles  L. E8 y7 R* T" H2 D
  ask turtles6 ]6 p7 a0 I; s
   [ ifelse (wealth <= max-wealth / 3)& [- h3 r, C$ r. m6 c0 ~; m( L
        [ set color red ]$ l: z$ F1 n# }3 c% ^* _
        [ ifelse (wealth <= (max-wealth * 2 / 3))  U& C# l: N' G5 x
            [ set color yellow ]
$ }$ ]* B: F. i            [ set color green ] ] ]
! r6 l0 k; W9 A. V ask turtles [ifelse show-wealth?7 k! i3 E, b. }5 J5 c- I
    [ set label wealth ]% _5 b6 r8 ~# s5 z" Z6 L% t
    [ set label "" ]]/ [8 l) d5 G3 {% \2 e
end: P7 l5 K! e) e! w
) }6 b+ V/ C# B2 |9 K
to go, a' D/ q# @" F& v) ]4 Z. A
  ask turtles2 w% l$ x+ Z; `  P
    [ turn-towards-grain ]  0 C2 f- @$ z4 K+ z
  harvest
* ]8 |8 t& @( C% z. ^. t: \  X  ask turtles
# e0 i$ s  K* Z) Q$ Y: m    [ move-eat-age-die ], J5 ~/ `  p  i; r3 G
  recolor-turtles
, R: m% e- {. X" w4 P; E6 P  if ticks mod grain-growth-interval = 06 W- U8 z% R) i, f' n) K, P! Y
    [ ask patches [ grow-grain ] ]
2 {% ]5 ?+ {; K   ( @$ R1 K# K! w1 p3 s
  if ticks mod 11 = 0& ?+ U3 ?0 k* p  {+ k& X
  [ask turtles
5 q" l( F' n" A+ `/ n4 _  [ redistribution ]]
' H% ~/ Z' D7 Q3 }" B  if ticks mod 5 = 0$ X. G/ z- E  _3 C
   [ask turtles
% f6 B7 o0 c& a) m/ Z' \  [ visions ]]% m- _! q0 A) x7 R& Q: d: ]
  tick3 y* b& r+ j7 |: T- l& _( b
  update-plots
3 W3 ~3 K& r* v6 i8 R( Jend
+ g8 P; g. q6 i/ e. P) Lto visions
% w! ]4 V  m( S; I. I set vision vision + 1
9 U. w3 ^) x( `0 Oend. P0 m; k  ?, V
$ q) L. {8 f7 m% M

8 S9 S! B0 L9 k; d4 Y& W( H# j- `5 v. i1 H& i5 u
to turn-towards-grain  " C  Z: F4 v. C& F, ~! ^- P
  set heading 0& z* O1 |5 @! n$ I( t. u/ C& _
  let best-direction 05 A8 h  J( Y$ @9 y2 X9 h
  let best-amount grain-ahead) o+ }0 X& Q2 Z/ ]. p  E
  set heading 90
/ q% ~; V& @. b  B, g  if (grain-ahead > best-amount)( p& k" G8 r! |& o( M0 ?3 `" m: l
    [ set best-direction 90
& ?! T1 E# ]: t' u5 w7 X" @& \# C      set best-amount grain-ahead ]
- N9 }/ H- A2 {) u& ]/ U  set heading 180
+ I; b( V# o0 A8 S  H" U$ k% z5 L  if (grain-ahead > best-amount)
+ ]* B1 p' o; n4 y7 [% b7 G9 j    [ set best-direction 180" F" L/ P3 t* n6 [0 y7 `! S
      set best-amount grain-ahead ]
+ _! V, Q: s8 t/ v5 J+ y. v5 Z' j  set heading 270
% Y2 }8 B! e3 o3 X: T$ \  if (grain-ahead > best-amount)
- g. q- V$ y2 R$ k* O    [ set best-direction 2705 O" r. _% r' ~2 f" K
      set best-amount grain-ahead ]% i' a- g# F$ l
  set heading best-direction
. `* e: R8 @# D7 Fend1 D# y3 j& A, s7 p6 H

3 e1 Y4 s+ o3 |- g
: i, x! o8 Y  k4 ?+ Dto-report grain-ahead  
0 x/ z9 F% r: `# y  let total 0
4 E( m) [# V9 D2 k7 b  let how-far 1
1 t9 K* j$ F; S  repeat vision% f, I' v, E+ b' i6 X' t+ V
    [ set total total + [grain-here] of patch-ahead how-far
! |" ?: c+ N2 A) \7 i/ u      set how-far how-far + 1 ]2 [+ g* ^7 o  Q: [" }: K5 ^
  report total
/ b  _6 h4 U/ @9 B" p( a& cend
' n$ @3 g. Z) i2 B& V& }
  k$ j, P" F, k) y: E0 }0 S9 mto grow-grain
( ~4 R2 a. g  D9 {2 q: X! d  if (grain-here < max-grain-here)
4 t' B) @( L" U8 G8 J    [ set grain-here grain-here + num-grain-grown
; Q1 m, J( `1 H& m4 D      if (grain-here > max-grain-here) # s  L2 ?/ l! B6 }8 p0 z
        [ set grain-here max-grain-here ]
9 x; \! Y8 y6 W$ b2 f8 ^0 D      recolor-patch ]
! `6 N" X& d, ^! Fend# c& B/ }5 G3 W% B2 Z2 R9 t
to harvest
' z6 ]& `2 Q$ V! p, q  ask turtles
. Y/ m0 ]) Y2 u0 Z  o. G    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
/ y& c4 }% j% X  ask turtles
, I' H0 P: M, J. {" z5 n; h    [ set grain-here 0
# ]  w' S2 }/ n% d0 W      recolor-patch ]
9 Z' y2 m. O: ~7 L6 w; ]0 V) {  8 ~% j* b# S; H) l( c' k
end
7 r/ {& j3 g/ f+ E& h' @' ~0 Q- B$ b, x
to move-eat-age-die  
& R( j+ P; j3 |( T  fd 1& K$ Z9 X, o$ a+ K3 z+ G
  set wealth (wealth - metabolism)8 O2 d" ]9 }1 T3 g6 _) x1 q
    set age (age + 1)8 W3 M( P4 \8 v/ ]3 g* m  e$ t( C
  if (age >= life-expectancy)
2 p& x' L; {% h. W) O$ N    [ set-initial-turtle-vars-age ]9 D$ F" c+ S3 X+ `2 l
  if (wealth < 0)5 Y# _  v  E$ d8 y1 @
    [ set-initial-turtle-vars-wealth ]
3 k: U3 k! C4 l, y, ^( I+ W( Y      l0 F1 l: @0 M
end" x* a# Y7 o- y) r9 x& ]  L6 J

. q: j3 n4 X, l! l9 J% E, r8 {4 l. u  \7 n4 X0 E
to setup-plots1 k) x; h! K' W, F% x
  set-current-plot "Class Plot"
$ B" J% q# X# |* D+ f% j/ g% ~  set-plot-y-range 0 num-people0 L+ g' h* B) P% s7 R9 c  ^6 {2 o0 y3 B
  set-current-plot "Class Histogram"/ Z  e! j6 D; b
  set-plot-y-range 0 num-people( }) z% ]6 i6 v1 R4 `- G% Q
end
' c) i4 M. G9 G  @  d. o
  P6 d- ~9 R  P9 u: T  m0 pto update-plots) D/ i5 a3 U: U8 K7 l
  update-class-plot% J$ C/ `9 x; f! K, @
  update-class-histogram8 t8 X5 d: E3 h: y" \
  update-lorenz-and-gini-plots: W+ o; |, b- Q6 m9 y! M
end
4 w+ z& k9 \$ O4 U6 K) J9 P
. d4 |9 `( \) n# \( Y8 Zto update-class-plot
3 l# V" y9 O9 V" h% C  set-current-plot "Class Plot"* V) X2 C- t! w( n) u7 \
  set-current-plot-pen "low". p5 j; _  x; ^6 [9 ?
  plot count turtles with [color = red]
- L$ v$ Z; ?' t  p* K  set-current-plot-pen "mid"5 W9 d  y2 [; {) K. r1 u! \  N
  plot count turtles with [color = yellow]
3 j5 v& H( O- K1 h) I  set-current-plot-pen "up"( i+ G& G' h. Q: g
  plot count turtles with [color = green]# s/ G' j& @  }$ o
end' ^4 o6 @1 p& |) }) ]3 b# V

# b/ v5 ]& Y  {+ h) d& F; W% Ato update-class-histogram
9 m* Z; a6 }: j5 i9 d* `. D6 R  set-current-plot "Class Histogram"% @" P1 b, l  I0 a) N9 o$ O
  plot-pen-reset# x' t( {4 o( K* X: Y) x/ M
  set-plot-pen-color red4 F9 p  u1 |$ v
  plot count turtles with [color = red]
0 O5 O$ X: B4 U5 _; [3 `' [  set-plot-pen-color yellow, a* i/ A( ^7 f" c% y  }
  plot count turtles with [color = yellow]# F3 _0 `9 \6 f
  set-plot-pen-color green
4 ^+ r8 I- ]  x  plot count turtles with [color = green]
# _7 F% h0 W' E1 G5 lend0 s2 U  R* {* g1 l
to update-lorenz-and-gini-plots
1 W& ^2 I' J" z. T' A7 T$ ]  set-current-plot "Lorenz Curve"
( z" T6 k8 J* x  J) S4 J7 t+ T) F  clear-plot
* B! q) j; C9 S; K4 x/ Q1 y, n
- t( X! U( ^2 {) s0 S7 D; q  set-current-plot-pen "equal": C% ^' q" q1 _. L: f
  plot 0$ }3 r' h% \5 G# \9 ~& F5 G
  plot 100
6 Y9 ?9 B/ Q; y* E! A/ q; n, o: l& T
+ [& B7 q+ k0 q( X0 n/ p) b  set-current-plot-pen "lorenz") R$ ]. c5 {! i
  set-plot-pen-interval 100 / num-people
& q) J5 x* Z* D5 C  plot 0
/ O7 `! C- }* ~9 m: z1 O" a7 c# h3 m% W" i/ _/ N- X
  let sorted-wealths sort [wealth] of turtles
5 [8 T, j3 e" ?1 h  let total-wealth sum sorted-wealths& F$ o& V6 }- r3 j
  let wealth-sum-so-far 0' N' ?" o6 p& C, Z- |# i" m
  let index 0
5 i. i5 O: m, d  let gini-index-reserve 0
1 j* v( V+ X) z7 m& N" Q- g
) t2 r, e# S1 N5 e- r  repeat num-people [' @; z; k8 ?. x& J
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)7 i) f* n4 \& r, ^
    plot (wealth-sum-so-far / total-wealth) * 100
# N5 Y9 a5 Z  d+ a    set index (index + 1)# Q6 F8 O& H; J% m5 H
    set gini-index-reserve
- x& W9 q# J0 |# P# C* q) e      gini-index-reserve +
- D+ [5 D/ ]+ j5 O      (index / num-people) -
' l' r4 b& {1 T1 u      (wealth-sum-so-far / total-wealth)
. |2 c7 p  s6 D" c9 O! @  ]
2 I: u$ c: X. m/ U. l
* m) c& X  Q& N" _5 H  set-current-plot "Gini-Index v. Time"" @  x) n! _$ h& D- r( d+ M3 b- a
  plot (gini-index-reserve / num-people) / area-of-equality-triangle' v% h9 M) v1 T: e3 Z: Q4 \
end! j/ A, L- y7 K/ L9 ]
to-report area-of-equality-triangle
' R4 ^" [. J; ^9 p  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
9 D/ s+ N  k7 d' H3 O  h" Zend
 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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