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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
" h# F  M; X! b2 |- \5 l& W5 nglobals
3 N% X8 q( y- x# ^: C2 I3 D2 Q[, O  F" R: k  z2 e6 W
  max-grain   
3 p) D$ V3 o$ t/ H1 i4 N0 L3 ]3 A" w5 K
]( S' x/ ~. B9 a* ?" K
& o$ s. o6 i) ~+ p
patches-own& n5 ]; k0 ?3 X+ w6 o% d
[
# Y* k+ W% D" e0 e5 ^9 T4 L* S  grain-here      
, l' |: b, I9 f. G. B( q* B  max-grain-here  
$ A5 ^( ^* ?, w$ k: q! S]: [' F& Y- n! ^2 _  U, ^1 M' O- c
3 d2 \& u0 ~  K3 \, x& x8 Q
turtles-own
3 h6 ~, t# v. @: ^7 E' ][
1 ^1 \( ?7 |3 {+ ~' }, b  age              
5 E5 C4 k1 C6 d! z8 e9 s3 E) d  wealth         
* r. Q& U4 [+ \0 Z$ z  life-expectancy  
& b9 V8 g9 @7 o  metabolism       9 E2 W( I! ^* U3 H
  vision+ Z$ R8 c. w. K# V, `/ M7 ^% ]
  inherited         
% A1 T% p/ {+ x& p2 h]
7 f) p) Z2 Z. j0 l5 w3 m4 T) ]5 W  n: v! D0 R* I& |. p

( H' o- ~& b# \3 h5 ~( ^to setup
- L% H' {& e" B" |8 G8 A' z0 u  ca
( i5 a4 G6 `4 x( ~8 O  set max-grain 50
" [6 E8 S0 N9 R8 ]: `/ t  setup-patches! n7 c1 [" E' C" X
  setup-turtles0 R% I) H9 R4 a7 O. x, f' Y2 T5 q
  setup-plots! l: l  i  V1 I# L/ J( T
  update-plots, Z( X+ K2 m; ?9 t9 ~* e$ f% G6 ]
end
' j- W( y0 K- F* q+ B1 ato setup-patches
# W6 w/ T$ B! m  ask patches, n7 x# a* X6 H4 m6 G
    [ set max-grain-here 0
" O1 Y( G& B1 A: h5 G# m      if (random-float 100.0) <= percent-best-land
4 s. \+ M* m  M+ `6 ^. T6 ^        [ set max-grain-here max-grain
& S) u2 ~( P$ j          set grain-here max-grain-here ] ]
7 ^8 o; J% T+ a0 z0 _; a9 D$ f  repeat 53 z4 L$ k) s& U# U
    [ ask patches with [max-grain-here != 0]
4 \( M5 f/ I5 ^6 Y        [ set grain-here max-grain-here ]- I2 X% C2 K! r/ u/ @
      diffuse grain-here 0.5 ]
8 w  {9 T! U' L+ |  repeat 10
# i/ W4 y1 N% ~$ ?" ^+ d+ _) b    [ diffuse grain-here 0.5]          $ H, f5 k! V, X) R$ P- j
  ask patches
/ N! |1 o" b6 ~6 G0 @9 K    [ set grain-here floor grain-here   
3 X7 M( x  d2 ]& x4 @3 H      set max-grain-here grain-here      
& R, V5 P. L. f      recolor-patch ]7 ]' g: b- [1 v  a3 y
end' }5 H2 Z7 `2 T) S) D
to recolor-patch  : A% ]& P9 z1 a5 V
  set pcolor scale-color sky grain-here 0 max-grain1 ^7 L* s. a/ x1 f  Z! ]! o
end+ V* |  q: ~7 |- k
to setup-turtles. i0 o2 C% a4 Q
  set-default-shape turtles "person"; k( r6 Z' s$ I% @8 p9 y1 r
  crt num-people
7 X( M5 h+ k9 A    [ move-to one-of patches  
1 S3 U  E# z( W* p      set size 1.5  
$ y# |. h5 o; L      set-initial-turtle-vars-age  c. L% h. y0 `& `
      set-initial-turtle-vars-wealth
) d- b6 x/ u( f" X      set age random life-expectancy ]  f* Z: d( p: K
  recolor-turtles' k- S" y1 F( {/ K. Z# O" e
end
2 O) |. Y. x# j1 y+ w8 k
8 Z/ |5 v8 d- f$ i" q2 Yto set-initial-turtle-vars-age& c. e) w. Q1 u
let max-wealth max [wealth] of turtles
0 X: {: f1 Q2 S' _' d  p    ( z7 i; B/ m0 T& u
     ifelse (wealth <= max-wealth / 3)2 x1 M  N( X3 D" r6 v% [$ Z. L
        [ set color red . W; k" }( N% W. |) y+ l
          set age 0
$ L' B& z$ {% u" L/ y# [& D          face one-of neighbors4 8 w: ^- I" a$ @# p. R& X- W6 i
          set life-expectancy life-expectancy-min +
# e2 N* d; A0 M( k" |0 W                        random life-expectancy-max 1 }& J" S$ I; l  i
          set metabolism random 1 + metabolism-low
; v/ E1 V: [0 ~          set wealth metabolism + random 30
9 d* k  m# H! S6 G          set vision 1 + random max-vision
" [/ y  _6 E* _3 o5 j             set wealth  wealth +  Wealth-inherited-low ]& c  l( [1 U% G) [$ G" [
        [ ifelse (wealth <= (max-wealth * 2 / 3))
% t1 K  _- H; E  ~" Z$ U+ n            [ set color yellow
& D4 \$ Y& y$ s  D' J2 \" Y              set age 0
9 ^1 o( r2 X0 Y) [              face one-of neighbors4
* u; ^) S) L, |+ }! A7 D              set life-expectancy life-expectancy-min +) q! k* g% z8 U4 w; \
                        random life-expectancy-max + 1
. q! K) M3 |1 O$ h3 _, ?              set metabolism  1 + random metabolism-mid% x4 |! T) z9 i' `
              set wealth metabolism + random 30# o% P8 K* k5 Q9 K4 I
              set vision 3 + random max-vision
' y" w* g5 b: y4 B% A                set wealth  wealth + Wealth-inherited-mid]  F& [; b$ r- X( I) U' g6 G
            [ set color green
+ F) I3 i% \! n7 T3 F' x9 k  S              set age 0
9 p: J% ~% ]! S+ m! y& n              face one-of neighbors4 * o& }9 D  j* F' u
              set life-expectancy life-expectancy-min +
' X6 F, ]5 v' O8 ?- |0 W                        random life-expectancy-max  + 2
1 R: `, ~2 Z5 E              set metabolism 2 + random metabolism-up/ \4 E# _. f( g" ?0 y  [& i* Z) U" X
              set wealth metabolism + random 30
2 d9 C3 R7 q; y              set vision 3 + random max-vision
" Y! u. Q# G3 N9 r7 q              set wealth  wealth + Wealth-inherited-up ] ] 5 v- J$ j9 e$ Y5 s1 V* C  b0 X
9 {5 u7 @. G% c# V2 Y  n
end6 j! U5 P4 d% ~6 c! }
to set-initial-turtle-vars-wealth
  V/ _0 S+ a- ~; m1 f& O3 ?5 f let max-wealth max [wealth] of turtles; Y5 d/ U% R) s& Y' o( m
          set age 0- V3 D& C/ S4 o9 J
          face one-of neighbors4
3 t. x9 c9 ]0 x0 g5 r# i5 R8 {6 |          set life-expectancy life-expectancy-min +
& ^* j4 u9 Q$ f6 b# _8 K5 k                        random life-expectancy-max 6 [) Q8 O8 K1 |
          set metabolism 1 + random metabolism-up
% n) q7 k, Q, {0 y6 n: }' ^2 }          set wealth metabolism + random 30& {4 h; Q% x7 v
          set vision 1 + random max-vision 2 a& Z1 ?. b# O4 K8 X8 X1 _. B
end
, Y+ o3 V& E& ^2 x- P" |) Ito redistribution
7 y, h" Z6 U, I0 j% \let max-wealth max [wealth] of turtles& @) l6 A8 b, ?% g
let min-wealth min [wealth] of turtles. C) Q( ^/ R' A. D! h; A$ [3 k
if (wealth <= max-wealth / 3), E2 _* ]+ p5 ]: ~: {8 \. D( O
[set wealth  wealth + Low-income-protection ]1 k: z9 v$ d' Q$ E7 B
end2 W! ]2 k3 s6 k2 |+ ?' F
         
  }# N9 N/ E; n" E$ n% G- S0 z9 Ato recolor-turtles# j  g/ c1 K0 {+ Q1 Q7 t( Z+ C
  let max-wealth max [wealth] of turtles" ~! N1 S- u3 W% B8 t% A6 x
  ask turtles
! a" Y/ [1 W' h2 }4 W2 S  ^   [ ifelse (wealth <= max-wealth / 3)! L4 q$ e$ _! y8 q
        [ set color red ], F6 V' |# c/ r: B$ t
        [ ifelse (wealth <= (max-wealth * 2 / 3))
6 O4 F! w4 D2 \3 E5 }& }            [ set color yellow ]
- G" x, c- j1 U; ~1 n; V            [ set color green ] ] ]
* N0 u+ ]# R9 {6 D4 N: F ask turtles [ifelse show-wealth?
6 K- M; V; h2 V4 l5 v% `& H( n8 @    [ set label wealth ]/ M5 [) u+ U& I- Z& J+ V
    [ set label "" ]]
; u! S2 ?6 {+ |# T5 B# qend9 a$ W: Y4 v; D4 u" q
# ]- P- E' H: `  _7 H: B$ w
to go( y$ Q3 g, ?4 d/ w7 w8 f; n3 p
  ask turtles! Z( V: x4 A3 W9 A$ [1 C
    [ turn-towards-grain ]  7 o; C4 a  C2 w3 [, w
  harvest
( @1 v. L% f5 ?8 u3 L0 r  ask turtles9 ^7 {' ]& U6 C1 h
    [ move-eat-age-die ]
- U, i: G$ v) @- V  recolor-turtles* F8 C2 B) P- h# C4 V" k
  if ticks mod grain-growth-interval = 0
4 Q4 m& O4 @/ F/ t    [ ask patches [ grow-grain ] ]/ j: Y1 ~5 _9 s2 Y
   ' y. Q/ f) m9 n* @+ j& e% a- I$ j
  if ticks mod 11 = 0
* t% c$ o, `8 c" g  [ask turtles, i  \# ]% q5 X& @7 L* [$ n5 ~' ?
  [ redistribution ]]% o( Y% r! n3 m. q, j4 L7 e3 h
  if ticks mod 5 = 0
  H6 |  U0 O6 S& Y- h, X: L! }   [ask turtles1 j5 V: w7 Y! |5 B% \  T
  [ visions ]]1 n' g" H% c, ?: n- h+ s, V" h
  tick
, a" p* B( F7 U' U  update-plots
3 a+ T7 S; ]4 F( f# Q3 V9 }9 {) Yend, W, p9 E- J, @7 j3 m  `
to visions2 `4 d7 d2 E! |7 U. F  `
set vision vision + 1
( P( z8 d" V5 J8 r  `1 rend
6 A0 i. m4 m- s3 Z( m" G- c
, {2 U+ `6 N5 e% i' l' {7 t3 o  ?/ C$ K
; z) J+ X2 R- b$ k: I  w
to turn-towards-grain  
9 t) r  x" W, F0 p3 E7 h/ }  set heading 00 F' ^7 z/ a* i% I- J. |* H
  let best-direction 0
7 r  M- L2 C2 s$ Y/ H, q; V  let best-amount grain-ahead; T4 {, ~4 t/ H8 C" L  a
  set heading 90
( \, [2 |  C1 T7 f. T( R3 a  if (grain-ahead > best-amount)8 L! e1 `6 z! G# \* O
    [ set best-direction 90% j/ T4 Y( p4 f( N
      set best-amount grain-ahead ]7 E: n$ R( V: o  f7 T, ]: r6 t& J
  set heading 180; m# I0 a* g. w* j4 Q- n1 j
  if (grain-ahead > best-amount)
" ^8 G" z5 K$ C& c. j8 c    [ set best-direction 180! N% g& z- ]$ r4 S$ `
      set best-amount grain-ahead ]
  n- W7 C: V! E  \5 H6 \- C  g  set heading 270. Q( B" q  d6 A: Q$ }: ]! R9 w3 H
  if (grain-ahead > best-amount)+ ~- I& O4 M( s3 o9 f; p
    [ set best-direction 270
) |- i3 c4 ~5 ~8 w      set best-amount grain-ahead ]5 l, W" y/ n" L: M$ Y  |( Q
  set heading best-direction
% @4 [: C+ |" b0 D& a7 l, K* Hend
2 s' q0 }' B! R( q! b( u! V* \) J3 \0 Q$ v; q
/ c* i0 A/ S1 {/ a  ~0 A2 B
to-report grain-ahead  4 |9 O6 b" E' @9 O! W! \# |& z
  let total 0
1 W: e' u. q5 z% J  let how-far 13 y, ^! f3 R6 T
  repeat vision
+ V$ t0 K! O1 E    [ set total total + [grain-here] of patch-ahead how-far; P( p( w1 h$ n) l2 k7 d4 M4 b& {
      set how-far how-far + 1 ]) \4 A; w1 r# {! m7 Z% W$ h
  report total% ]- {6 S' I+ X) R. C- \; }! o9 i
end% d0 X" J3 t6 E: |) y; Z' u
9 l' X0 O- X& N# x/ [
to grow-grain
2 I% `7 f9 f" h1 `; q  if (grain-here < max-grain-here)
% J' P/ A; B6 g" J9 O8 @! O    [ set grain-here grain-here + num-grain-grown
: Y2 ]5 F2 R2 S0 v* _      if (grain-here > max-grain-here)
- W5 M  z- Q& i% w$ I# m* C9 }        [ set grain-here max-grain-here ]
9 J) ~! t* l# l# B6 f' |3 e      recolor-patch ]' H' N- p( G- U& H6 q1 X6 |2 D- e% S- Z
end
$ {+ ]1 R2 ^4 M4 `8 ^: Bto harvest
/ E2 d4 \) f6 r  ask turtles
( ]+ y- i; O; ?9 b7 A+ y    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
/ @  R, k' G# Z& z+ a4 {( f  ask turtles
4 f+ P4 A9 }- F) O- Y- D8 e! c# L    [ set grain-here 0& m, T" K' v( [- T. v
      recolor-patch ]
" t" B" _* B6 I9 |8 d3 W  8 b; Y, J7 K1 A3 A' M% j
end
/ v# W! C: _( B( u" l
1 h" l7 N/ Z$ \) b3 y, \( \to move-eat-age-die  
3 k1 e/ q/ W. _  fd 1
! R2 w2 A" U7 j6 ^1 Q5 \$ I  set wealth (wealth - metabolism)
; a0 D  h' C6 ]9 S! B5 r9 K* X    set age (age + 1)/ f: c1 h# R/ \% B
  if (age >= life-expectancy)
$ ~$ N* G+ r- p7 `    [ set-initial-turtle-vars-age ]
, g3 }8 D: c0 N/ c  if (wealth < 0)" J. M8 q2 n! v
    [ set-initial-turtle-vars-wealth ]0 M1 I" H6 U/ ?/ |
    * x8 v4 t# N1 o. V: Y5 F5 p0 E
end1 }2 ^' V6 W2 t5 ?9 E) K  j

$ ^* i/ G! F9 L4 B' ?/ X! z4 S6 I2 `& `9 K
to setup-plots
9 E' n5 {! K$ @' f4 e8 [  set-current-plot "Class Plot"
6 d3 c1 U% D( i  m& }% ~  set-plot-y-range 0 num-people7 ~6 `' e% \+ K7 H. Y
  set-current-plot "Class Histogram"2 [) e2 m/ t% j+ z
  set-plot-y-range 0 num-people
" i& E4 j0 S6 ?) {& D8 @7 Send
* G+ X$ ~0 a; x& T9 \
" x3 {% I0 \5 G3 e7 u9 A  f  @to update-plots! D' w& {$ _2 M$ G+ i
  update-class-plot3 z2 t# T4 Y( m3 s0 v; r# k1 X! b
  update-class-histogram% e- m2 Y0 t4 \8 |; ]7 b0 i
  update-lorenz-and-gini-plots
/ B1 x( R! L5 P$ ~2 qend9 Q1 R  b$ j+ N8 E
5 G& d  N5 _- ~+ a% Y" X( x1 i8 H
to update-class-plot# S$ _; @( G* T& ?! ?$ \
  set-current-plot "Class Plot"" G: r; B3 q/ j
  set-current-plot-pen "low"  t9 [2 K2 J- }+ G; M
  plot count turtles with [color = red]/ v/ `( n) M( q$ k1 o
  set-current-plot-pen "mid"
! L5 l8 a1 G4 Z1 G0 q! H  plot count turtles with [color = yellow]! I9 V) Q# Y6 y/ Y4 s" @# p3 X
  set-current-plot-pen "up"
. g9 I" V+ x5 u1 {5 N9 w: |  plot count turtles with [color = green]
0 B& J2 R9 _; M3 f! Uend
# |+ n/ W/ y& Y  |0 p, r% h4 o: S- ?5 C6 Q
to update-class-histogram. u7 I! M: f9 J! D) {
  set-current-plot "Class Histogram"
8 B) [$ q: {* y: H- E  plot-pen-reset! n) t7 ?. J6 K/ T
  set-plot-pen-color red
2 Y4 O" L) [7 v* o( I+ R. |2 m- @  plot count turtles with [color = red]
9 @$ k+ P8 n' u# h7 T% X1 `/ U  set-plot-pen-color yellow# [- N( S/ ^" Q
  plot count turtles with [color = yellow]+ Q+ b# A+ J! y  J
  set-plot-pen-color green
3 L3 m7 _; }" ]* B5 H  plot count turtles with [color = green]
5 d$ ?9 u" o  w) y5 M: dend
8 u3 W& x8 ?, {0 V5 r" h3 e8 o7 @to update-lorenz-and-gini-plots
; z+ H* b. l% y! m  set-current-plot "Lorenz Curve"
+ E" L+ c& ^8 P: ]' A2 l  clear-plot
% O7 o8 u( |" Q8 K, q2 G+ O
0 S$ i5 ]! ~* Y  set-current-plot-pen "equal"; _. J" {+ M/ K
  plot 0
  s+ s( s; `7 ?' j/ ?  plot 100
! N7 I' f9 t) w9 p' ?6 v: D2 ^# J$ L6 ]/ _+ Z
  set-current-plot-pen "lorenz"
5 B# m# x7 {: q0 Z) ?( r, E  set-plot-pen-interval 100 / num-people2 X3 N8 D+ ?& t; F
  plot 0" l: w2 m. z  v+ ]8 ~& K
% u6 o7 d; h' m( D) H) y, |. B
  let sorted-wealths sort [wealth] of turtles
) Q0 f/ d3 U$ U5 {  let total-wealth sum sorted-wealths
3 {( T: Y- Y9 p8 e% ?0 c* h) x  let wealth-sum-so-far 0' W" R; K+ g7 b5 c
  let index 02 `2 B& W1 _6 {0 C
  let gini-index-reserve 0
6 U' w/ l6 c5 e" ^$ m4 T5 W* X0 s$ Z6 [0 d8 V
  repeat num-people [9 x, l) u5 \8 g  X& x
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)0 f/ v" z+ g: t! v
    plot (wealth-sum-so-far / total-wealth) * 100
7 {- a8 N2 U( e8 o" w7 r9 t4 J    set index (index + 1)
8 s  J5 Z% O. ^    set gini-index-reserve( u* I. O) v( [) @: c  ~0 Z: I& V
      gini-index-reserve +2 n, i6 j" U9 c
      (index / num-people) -
8 Z5 t7 @# j7 y, ?( V+ P. m' o      (wealth-sum-so-far / total-wealth). S  O' w0 N* v3 P2 }1 X5 Y. T& [
  ]
9 }; d5 g+ Y. g& n
6 c4 b; O) b6 }" R, [  set-current-plot "Gini-Index v. Time"
9 F7 L( h' g2 |: y  plot (gini-index-reserve / num-people) / area-of-equality-triangle
& _( `& V8 Z! r, S1 _end: n0 S. M$ T/ w
to-report area-of-equality-triangle
% j! S! O5 H" @; n+ O$ o3 `  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
, x; }9 x) U, r3 S( \: Pend
 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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