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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
# E0 p3 r  J' P+ y( S- sglobals, j) U3 A; I' a: w# D
[
" x) q2 m0 c( H4 N" u$ G  g  max-grain    6 Z8 ~5 v% ?4 l6 a7 ]$ ~
/ V! O, o+ O0 ^6 P( f
]6 F  |6 t, E$ [! t* e
" C1 b6 U' ~2 N/ t, n( K* L
patches-own
4 r# |1 [, u. m5 A[$ g% x5 E6 ]/ {+ f, B7 N& S8 [* [
  grain-here      
. b. o7 {4 k) [3 `  max-grain-here  
8 Q* f" h6 ?& g9 ?0 v8 L]
# f1 ]: _$ X* C- @/ ]9 q2 [- q$ \0 G9 `& S' H! c8 [
turtles-own
" ?7 W" @7 |% L5 S2 ]6 m[
3 y: k/ l  D: C  Y- v  age              , n6 K. x, s/ U# x- E
  wealth           N/ k4 Y9 G! E% R: F* I* i* O
  life-expectancy  + e) B4 T9 P- m( h
  metabolism      
6 Q2 `2 _4 z) G8 L# j  vision. c8 W  l* D7 }5 c6 u
  inherited         
/ j8 `, _" j1 r1 L* G6 s]
. ~) Q& Z. h5 X, R9 K: a; [/ V) b- B% O# ]* A) k

/ I. P" E, @$ K. e* k& j2 Ito setup
1 r) }! v4 [1 e, U, [! [  ca) W8 O4 R, H7 [6 v8 y/ w: d
  set max-grain 508 v. l; u# u2 q  b/ R* ~
  setup-patches
6 `& |. T( a4 v: C1 N  setup-turtles, K/ w6 b2 I$ c3 k$ H* y, T* {% q
  setup-plots) B1 c" U3 l( @9 N2 X" ~5 U5 d
  update-plots
) J+ h; B! u) f7 iend
( g% }) j3 G, x9 J8 g' ato setup-patches( {) o, `& x( r! w  k7 M
  ask patches
( r  F6 p! @9 Y  G- M) C    [ set max-grain-here 07 x6 x3 i' d7 H9 ^& f/ }- l
      if (random-float 100.0) <= percent-best-land% T  d! x: x! |2 D  f
        [ set max-grain-here max-grain# {6 B! C) N4 @
          set grain-here max-grain-here ] ]& ~9 ]0 Q4 [; Q' h
  repeat 54 K% Z5 m( y+ V/ _! Y9 K8 |+ ]
    [ ask patches with [max-grain-here != 0]5 J. T8 r) }* G. @0 t
        [ set grain-here max-grain-here ]( q6 D7 c, L5 X. @1 E5 s/ O* s
      diffuse grain-here 0.5 ]1 ]& {0 k) ~$ Q! g% [
  repeat 10
$ g7 T2 m3 ~. S! t' t* |    [ diffuse grain-here 0.5]          # D$ l4 D" W- i
  ask patches
" @2 ^4 _( {, G8 Q& X9 y    [ set grain-here floor grain-here    9 |/ \/ h/ `% b; m" @0 p
      set max-grain-here grain-here      : {3 ?9 N4 J" g  X
      recolor-patch ]+ k" H% A+ |( c7 `8 p1 [$ d" p
end7 g& r1 K" B, i- o% W& C
to recolor-patch  
8 Y5 U3 @. V; h1 Z' h  set pcolor scale-color sky grain-here 0 max-grain  W- b; j* T" ^; I: W' O0 _
end9 F# b; O" z% M; O
to setup-turtles
2 |. S4 f; \1 M: V0 A  set-default-shape turtles "person"4 Z3 s+ }+ M3 k. T
  crt num-people
8 D% h) j9 H7 K8 Z5 L7 D0 x    [ move-to one-of patches  - C" y! Z6 n7 x% |" C1 z! [# a
      set size 1.5  9 M5 F6 ^( Q% P+ L
      set-initial-turtle-vars-age' r" c5 l( z0 E6 O3 \! u, k% U- c
      set-initial-turtle-vars-wealth
' O* \+ X) g3 Q9 b3 @! o" A" E' a      set age random life-expectancy ]
4 k' ~" s( z4 \. O; O" C  recolor-turtles# E! w  _/ U$ B9 F" d0 }5 G
end
$ c# g  x# y; D/ R' [/ b; Y; b' T9 c2 S
to set-initial-turtle-vars-age
' w+ k* w% Y+ F% } let max-wealth max [wealth] of turtles
* v& W1 x6 N8 C# _) P7 ?/ F    ' s/ ~2 {) S/ `+ V
     ifelse (wealth <= max-wealth / 3)
+ A2 n( c% f6 r/ Z& Y        [ set color red
; G: ]" ~& `: q  U9 `3 d          set age 0
4 f2 _( c% d8 ?7 L3 E! k8 s          face one-of neighbors4 3 s) r8 X2 I5 @) k; S
          set life-expectancy life-expectancy-min +
/ P" r0 Q: S2 O5 J- l                        random life-expectancy-max
' Q% b3 @, F1 E# G' Y- f          set metabolism random 1 + metabolism-low" v* L9 B* Z7 u! W, W8 v  M
          set wealth metabolism + random 30* S9 @, ^! T  O+ A& r! s& Z4 I) D
          set vision 1 + random max-vision2 k" v( ]5 o0 ~. c: {) Q3 c
             set wealth  wealth +  Wealth-inherited-low ]
7 Y6 h7 b' D5 A( [3 H        [ ifelse (wealth <= (max-wealth * 2 / 3))
8 o  L7 q) i2 C1 r            [ set color yellow
# L( W# ?" c" W6 U  U  j$ c1 ?- Z              set age 0
; K, ~% w3 [( `              face one-of neighbors4
2 g! w/ j, r( I. M( N. u              set life-expectancy life-expectancy-min +: ^: e5 I8 x5 H7 u( i
                        random life-expectancy-max + 18 q$ b; H  L! e4 _9 W4 [6 A
              set metabolism  1 + random metabolism-mid
' I& C' y+ n% S/ @! L; g0 u              set wealth metabolism + random 304 j$ m9 [# v3 c2 o
              set vision 3 + random max-vision
  V) i+ _2 _- x3 y+ o                set wealth  wealth + Wealth-inherited-mid]
) P9 f5 \9 n3 Q2 a" B            [ set color green
% s( T1 V& s, R6 O' N2 ~              set age 0
/ ~$ U/ H! B# b: d              face one-of neighbors4 ; l# u8 c* ?1 a5 G; H# P
              set life-expectancy life-expectancy-min +
+ r6 Q* D+ _: W/ `0 [                        random life-expectancy-max  + 2
0 m5 Z* ]7 [6 @              set metabolism 2 + random metabolism-up
9 ?$ B8 A( v9 J6 B              set wealth metabolism + random 30( D. ]9 V3 y7 @+ Y; y8 d; y
              set vision 3 + random max-vision8 V# q/ w( ?2 ?
              set wealth  wealth + Wealth-inherited-up ] ]
- Z4 u: b7 W5 I+ T, j 6 c1 N" L3 c2 ]6 N8 \+ O% x
end( V7 m* M+ q6 h5 J3 b) \
to set-initial-turtle-vars-wealth2 U6 A7 Z! d* `
let max-wealth max [wealth] of turtles
; w: G+ ^2 t& K+ b9 s, L' o3 V0 ?& w( ^          set age 0
0 R. _0 @5 }' C5 A% Y          face one-of neighbors4 : J1 O7 B( G1 Q% E
          set life-expectancy life-expectancy-min +
* r7 `9 c0 @  [  |                        random life-expectancy-max
2 b8 b* `6 F. `. m0 f/ [. E          set metabolism 1 + random metabolism-up
5 z$ R5 l# H, I; e6 w/ q          set wealth metabolism + random 30
- A* g" k5 A) C2 ~! F          set vision 1 + random max-vision
! ?& A0 i0 u+ s: |9 Z6 Y6 W) ~4 v" ]end
9 H. L: O" z9 V* \" z0 v* X4 Zto redistribution
7 c& z0 L1 c, H4 |% qlet max-wealth max [wealth] of turtles
+ ^' A  r5 |& C/ k( k5 L6 v- {0 O# Mlet min-wealth min [wealth] of turtles
* M; `  o2 ^7 Nif (wealth <= max-wealth / 3)3 \  u  ^4 D/ F
[set wealth  wealth + Low-income-protection ]
% V4 z+ s1 G) u" [. z) A8 G, ^end, w' ~2 r) A0 v) `$ X* w
          ( _- {3 j6 `1 R& t( M* ~7 c( v, r
to recolor-turtles
/ R" p3 U4 r2 B2 ^! [5 @  let max-wealth max [wealth] of turtles: s* ~; I) G9 T/ Q
  ask turtles
4 L# m* j. |, I4 Y, t   [ ifelse (wealth <= max-wealth / 3)% t+ I9 t% [& G$ y0 P5 R
        [ set color red ]
. L) O, F) w8 i( c, `( u1 o8 ]        [ ifelse (wealth <= (max-wealth * 2 / 3))" {( s. ]3 }' u; m' A% B/ e0 ?
            [ set color yellow ]
' o' Y* q6 @. B  X: T* }! a) m            [ set color green ] ] ]
/ z" O$ e2 P5 u! O. U% W: s ask turtles [ifelse show-wealth?
3 N3 y; ^# {' X! B  q, N% R    [ set label wealth ]% U# [; T! F2 J0 \0 v; y7 u
    [ set label "" ]]- \& _& M! S' p! L4 z% _
end
; q4 Y- d9 `# N) _0 s% G( ^) [
: b4 k/ U9 L( p- Tto go
3 h! [8 O) n" \5 ]  w) U  ask turtles. L1 a! E9 v! K7 A" f+ {
    [ turn-towards-grain ]  % b4 e: L- D2 C: a0 \1 q! [9 G
  harvest
, w$ X/ W& x! E6 p6 R. b6 U9 m  ask turtles1 ]) c) C* w' C7 X
    [ move-eat-age-die ]
3 t0 p  a( }" W$ T9 r  recolor-turtles
0 W; P$ B& x7 |* a  if ticks mod grain-growth-interval = 0
* u" f3 u2 U- e! s/ c    [ ask patches [ grow-grain ] ]2 \' a' l! d3 k" n# C" T
   
- b* ]$ x/ W1 |1 A/ Z' q/ `: `  if ticks mod 11 = 0
# f! l' w' M- q3 w2 N6 ]  [ask turtles
3 D' S+ V$ M+ k% e+ [" F% Y) h3 b  [ redistribution ]]
* X3 Y. r! B% Z# i6 @: N7 {( H  if ticks mod 5 = 0; @" D) @' L% I4 F: E! G4 x
   [ask turtles
- D8 v6 ]  c: `( k  [ visions ]]
" }7 s# A2 `; t5 F1 G1 H  tick: M3 T- R: m# j/ X7 b
  update-plots
3 f4 K# G2 G9 }, \/ C& B0 }5 n; u  [. Fend
  G! f! i: m2 K) \( Bto visions
5 F3 Q$ h0 Z( o2 ~ set vision vision + 1
6 {1 S+ k0 Y4 e" k2 \  Send- `: N5 N$ n; O! }, b
: J; R" q! ?* H6 H" ?* s

8 I8 ]" a/ t* x; O
( t$ G+ x: \, c$ x1 V! wto turn-towards-grain  
) _# ]6 [: R8 c& V- i4 `, l4 `  set heading 0
# e1 u8 P' B: Q  let best-direction 0# ~" }( Z$ Y) E4 ]4 \
  let best-amount grain-ahead" r& y  s& e1 `* \+ @7 n1 X" @& s: k
  set heading 90# g4 K( l- G6 l1 X  s. ^" o1 a
  if (grain-ahead > best-amount)
% X, O# }% n+ T% ~    [ set best-direction 90
/ O  O3 d- j6 L  A      set best-amount grain-ahead ]  j# W! ?. \" {9 q. [& g1 q
  set heading 180
6 {# X/ V% s4 X* W9 i6 l  if (grain-ahead > best-amount)
% {& B4 c$ u+ w% A    [ set best-direction 180$ T% a4 _8 _9 h/ m
      set best-amount grain-ahead ]" ^% @: M) ^/ a: m; `
  set heading 270
1 i/ ?5 l4 r$ e) b  if (grain-ahead > best-amount)0 O: r; A& u2 E0 j/ y" f
    [ set best-direction 2706 ?* t/ r! ]6 {1 I' n" U" V0 E
      set best-amount grain-ahead ]+ g; s7 ^9 [3 p1 S% z) q, L0 v
  set heading best-direction
0 I) j8 G. u, w0 O, l" j( g1 `1 Xend: ~  l5 P3 ^$ z$ e# k
' H+ h$ h" X% u  @3 f

  F7 V) S* q9 Wto-report grain-ahead  & ^5 O' A: @# E7 k) b
  let total 0
" \7 P3 X! D, E+ Q  let how-far 1
' o1 u. k% s3 h- {( h; {  repeat vision
7 g' D2 w3 D6 l1 N    [ set total total + [grain-here] of patch-ahead how-far$ y) n9 w$ y6 x6 M$ l6 Z
      set how-far how-far + 1 ]5 f4 E' r% r7 _4 w; G+ {; o
  report total
, e& X, q- V& @0 d2 n2 f1 ]- X6 E  Gend6 |5 K% Q3 M2 s" ^0 ?0 O  l
7 X8 b) f9 X% Y. b) f
to grow-grain
7 t: G. j) Z; p' G$ p( p2 P  if (grain-here < max-grain-here)6 w. ^+ [5 j7 |- V" {
    [ set grain-here grain-here + num-grain-grown! n2 e- e! w+ G6 w4 B
      if (grain-here > max-grain-here)
5 C$ Q+ T; [6 j$ ^: a        [ set grain-here max-grain-here ]
. |+ P, f* ?1 y4 X% M' U8 G' H      recolor-patch ]* ?  o0 l: W( U1 Q" P
end
( A; @! d3 O  c/ Ato harvest9 D( x9 M9 u0 M1 Y4 J8 f) b
  ask turtles. F0 a( `# s7 \! E( P6 n, J$ ~
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]. i/ h* M+ }$ @/ C
  ask turtles
7 j# e; h0 n! Z7 M- T" g% p    [ set grain-here 0/ s+ ~" u7 ?2 |5 {
      recolor-patch ]" R1 Y  m6 Q5 o3 ?+ ?4 c9 ~( ^4 g5 b
  1 k* [; _4 q- @5 C6 [0 a! y% D8 f
end/ g4 c! f1 C: w- q7 V

7 k0 ]: h) u# E! Dto move-eat-age-die  
  g; I6 a8 N7 {  fd 1
. T' P% O% w) I6 c* G7 c  set wealth (wealth - metabolism)) y. i4 J4 o$ K' }- G1 Q  I# Y
    set age (age + 1)4 D$ ^& S: l1 P  E
  if (age >= life-expectancy)
7 D6 ?2 `) R1 }! C+ g% `( j. v6 j    [ set-initial-turtle-vars-age ]& D6 y/ [7 Q  b3 i; I' E
  if (wealth < 0)
2 Z. I6 K" ?, }& U    [ set-initial-turtle-vars-wealth ]
5 f) d0 {" w$ Z; h+ p* M   
+ \4 S6 v. u: C" {: C8 mend4 W; Y. S* N; q$ ]

3 T! U% {9 j, @; z6 Y- W; s1 ?  D: o; N) e1 D2 _3 m& l4 t: C
to setup-plots
9 s5 j9 |, _* }$ h- f) ~  set-current-plot "Class Plot"; l. C, b7 H* x- I, I9 F3 j: c
  set-plot-y-range 0 num-people# h' ?, Y4 M* B: P7 w
  set-current-plot "Class Histogram"/ I( Y& P* U1 N6 R) C
  set-plot-y-range 0 num-people+ N; G* ]* I4 w9 t/ D: g! R
end
5 j- U* }2 }% f' d/ Y! c4 s
9 o) U/ R, s2 ?. O/ |. tto update-plots% S1 m+ K1 j. g2 a
  update-class-plot5 ?8 u5 R9 z: y, X# X' A5 u* L
  update-class-histogram
5 C. w8 l' H* q- c' W8 r  update-lorenz-and-gini-plots$ F1 W9 Y8 W: z7 f
end- g7 T9 C: a0 R  {1 w. c3 Y9 i% L

8 J2 [0 z6 u* |" B) ]to update-class-plot
9 o) e) L  M9 o/ Z' G" ]  set-current-plot "Class Plot"
6 o+ |/ J4 Z6 a* y  ]+ z6 Z9 |  set-current-plot-pen "low"
) X$ f3 A  G( D  plot count turtles with [color = red]
% m! z& d* F! w+ P; X  set-current-plot-pen "mid"
1 V3 U5 P4 d4 C  plot count turtles with [color = yellow]- a+ Y! Y: x6 j% G+ W4 M
  set-current-plot-pen "up"
5 @" N0 }7 R8 U; q, U  plot count turtles with [color = green]0 a& R' V! S& ^0 p7 p% q
end
+ Z  [4 C3 C5 G- {
# e' `* D# Y" \, Ito update-class-histogram
# i. D; M/ p- i+ S  set-current-plot "Class Histogram"* H- J5 Y4 n$ D+ ~0 b
  plot-pen-reset/ M0 z6 `/ N3 z2 Y9 L2 J
  set-plot-pen-color red
0 @) p; \$ E0 u4 \" X  plot count turtles with [color = red]3 c! b2 i, l7 F$ x
  set-plot-pen-color yellow
" ?. b9 C' e& v, `- q9 A  plot count turtles with [color = yellow]# D# @6 R/ Y- `2 Z
  set-plot-pen-color green
$ K( g( c6 w3 z+ `) n  plot count turtles with [color = green]2 ^* u4 |3 m. u9 a
end
" P& s  a, F4 ^) ~4 tto update-lorenz-and-gini-plots
* M6 d: S1 T& k' M! z" O( ~  set-current-plot "Lorenz Curve"
/ X: G; L1 j  g# u) s/ Q1 c  clear-plot$ O# n1 e1 T' C/ x; Y

+ u/ S6 A& H7 ]  n& S* w8 _+ u  set-current-plot-pen "equal"
  f" B" h" }2 E2 Z  plot 0
* G8 h. _1 z. u) e- J% \  plot 100* K( F0 O( U& c! m0 r+ u

$ b7 p) s* l$ a1 W7 _' n) H  set-current-plot-pen "lorenz"3 w3 s& ]: b) b6 ?1 |
  set-plot-pen-interval 100 / num-people) l  D& Q& Z9 b; i- K- v
  plot 0' v' c+ j5 ]1 J3 G- G, G/ D3 H
2 V6 Z6 v6 R. l
  let sorted-wealths sort [wealth] of turtles. |* M& x1 r2 r: h
  let total-wealth sum sorted-wealths. c( a  _* N, C6 H, Z
  let wealth-sum-so-far 0
( y  f9 y1 t4 X! Q8 B3 f  [  let index 0/ x3 N# i* |: l& p8 s9 X3 m1 P
  let gini-index-reserve 0
2 C7 Q! B# Z+ |* M5 c( s3 j" @- _, l- [- g
  repeat num-people [
1 ^7 M  u0 D6 e: k+ R+ g. z( S+ S    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths). ^; K7 \7 z) j3 N# ~: Z
    plot (wealth-sum-so-far / total-wealth) * 100
7 K: b1 T& [6 K' J4 }    set index (index + 1)
5 \- {% y% t' [9 J9 V! a; v* p: z    set gini-index-reserve* F( o  h) {4 }% I) K
      gini-index-reserve +
& s; ~7 q& x0 `% ^5 Z( W/ D8 ~      (index / num-people) -
( H! ?* ~5 Q; m! ]. D! s      (wealth-sum-so-far / total-wealth)0 n; r7 r3 c* \2 N. g
  ]
8 o2 U7 T& \1 R! [" e' ^
7 c* C; M% }5 B4 I* |% G" \  set-current-plot "Gini-Index v. Time"
5 \: b4 ]) m6 {4 l  plot (gini-index-reserve / num-people) / area-of-equality-triangle/ K2 D  c$ s# a! d3 T) T
end  v( F- [9 P9 W& p
to-report area-of-equality-triangle
9 U% J- x7 V7 {2 B( |! S  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)% v; r7 w( Q- T& l" S5 [
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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