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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, F; R& ?& c0 j  C0 K. \
globals% W+ U' E# x! V# O
[) y& d0 l, n+ R+ Z& {% l" c
  max-grain   
8 t: ~2 N* |- z1 C( R2 T3 {" C' s% n5 }' _
]
0 c& c' g) M  G
' W* {# i- u, D) O7 p/ j- A7 Cpatches-own% {0 l5 O# N/ S6 U
[/ c! }) `5 X$ Q+ d0 p* |4 f) p
  grain-here      
3 l' k. h/ |  C) I- u6 ~& j& ?  max-grain-here  5 U4 x3 N- ?' |% [9 e
]
) Z- s  w# D9 @7 {  C
- S/ G# k5 ~. {  `- x7 zturtles-own* q! j* v: \7 n) Y$ q0 c  ^
[
/ o1 ]+ S& }; P  age              7 Y$ X2 _0 M8 J9 [! ]2 d
  wealth         
* q  c) q! k. F; ~. [  life-expectancy  
3 u: d+ d3 [- z. z/ q  metabolism       / G/ @4 J! f8 w4 Z+ ~+ }8 M
  vision
# o3 }2 x/ H# K" r. E  q+ J- P  inherited         
5 t/ D. c  F9 J+ C" d! J3 e]3 E6 J6 f8 `% W! @% m4 a% _
/ }  F7 p' j8 i8 H

7 g4 r; V) ]; O$ @& mto setup
0 M( ?; [7 o2 G: y; n0 Y# y  ca
; ]3 h5 r7 ^5 a, e  set max-grain 50
6 X  c. u* s# K: i) Z  setup-patches" }( {8 ~- [2 T/ _. ~, w2 v0 j* p
  setup-turtles& t) j5 W# Q8 O. [8 h
  setup-plots( D  ?5 b2 t0 D) A5 _
  update-plots
8 x5 t2 }1 v2 G, z0 O! e9 l8 fend1 Z1 P# U7 h4 g3 l3 B) r
to setup-patches
, s. v+ W9 s/ {  ask patches
2 G) b5 w- m2 B: r0 S' D    [ set max-grain-here 0/ _0 R8 O  [( l9 O) W" E8 e: u
      if (random-float 100.0) <= percent-best-land
. C$ s0 |8 D8 x; C8 w  s& ]3 [        [ set max-grain-here max-grain
0 e+ [' V5 z, U2 B1 ^' p          set grain-here max-grain-here ] ]- }7 L$ J+ j! U. j% `& |
  repeat 5
  X' k7 g+ Q. N) e: V' P1 F    [ ask patches with [max-grain-here != 0]
' }1 R* b( u$ Y! Q7 U        [ set grain-here max-grain-here ]! ?: M( [4 i+ R  X( `# V
      diffuse grain-here 0.5 ]( O9 J4 r' D) E4 v. w6 l
  repeat 10
% l4 ^* L, S5 X  Z/ i    [ diffuse grain-here 0.5]         
9 |: t9 s4 h; P6 Z3 A  |) J( n  ask patches
- ?' F: n9 E$ W4 \: i/ W. I    [ set grain-here floor grain-here    9 J1 R, R( N. p! N
      set max-grain-here grain-here      . \! ^( @5 ^' M6 u: ~9 O% ^
      recolor-patch ]
! F# V  f% l% M0 M+ Send+ K: Y% B4 J3 y) z8 U& ^" e
to recolor-patch  
( Y3 U; T5 [$ m, P- S8 o  set pcolor scale-color sky grain-here 0 max-grain
( d, l0 l1 T% _/ A3 Oend+ `' |# z2 c8 D* V% O" o
to setup-turtles* ]) ~, S7 r: ?( S
  set-default-shape turtles "person"
0 Y$ H1 x6 T, L+ Q  crt num-people+ m- r2 F. q7 a  |. M# c2 P
    [ move-to one-of patches  ' c9 M% u) }# q! N) k; p: \) K8 h
      set size 1.5  
* S6 M" K8 ]8 M( r      set-initial-turtle-vars-age
. _: Z1 O; u8 j  \- ?      set-initial-turtle-vars-wealth/ R& j; N- ^+ S2 H, b, X/ h5 H
      set age random life-expectancy ]( r* v% F) ?' Z% F' Q+ v
  recolor-turtles8 w) d* ~* X4 z' n9 ~8 W
end, i7 z- U; j5 D8 g! E! a+ y1 h
. j) M  f3 T, ]0 A. [
to set-initial-turtle-vars-age) p  C6 h: J. F8 [! g
let max-wealth max [wealth] of turtles
% E7 l# h+ x1 `. h   
, p1 w0 E) E% s' R$ N: U     ifelse (wealth <= max-wealth / 3)
! D+ O4 I0 [& g        [ set color red
: T2 |0 H* Z& E, p- `% r1 W) d' Z          set age 0$ D3 y; ~7 {* Q0 I8 u. h7 e
          face one-of neighbors4
' i  H% a; C1 f# y9 Q/ N2 `          set life-expectancy life-expectancy-min +9 y% j: P7 G3 k" d, t5 e, [6 `
                        random life-expectancy-max
* S% G5 m: a3 ^          set metabolism random 1 + metabolism-low- A# u" A! l3 N" Q2 N3 p, c
          set wealth metabolism + random 30. N) f- p; \4 l7 j, x
          set vision 1 + random max-vision
8 Q0 l8 a1 H6 k4 D             set wealth  wealth +  Wealth-inherited-low ]
# T4 i4 v2 j" s$ k' D        [ ifelse (wealth <= (max-wealth * 2 / 3))
- f" ]: E- i( M  \( Y) f) O3 ~            [ set color yellow / r" j* Z. Z7 K, [" L1 b" W
              set age 0
0 d2 v1 \# e3 H- r9 G              face one-of neighbors4
* T6 G# o& S* X2 Y              set life-expectancy life-expectancy-min +
2 M0 ~; e5 ?$ x& U' E8 s: k3 L                        random life-expectancy-max + 1! S' j9 p' Y5 F! h
              set metabolism  1 + random metabolism-mid7 B/ i3 E- z0 s: d
              set wealth metabolism + random 30
  c* @# j) M7 L; G2 L              set vision 3 + random max-vision1 w) o* _/ g2 r" x2 A* P9 k
                set wealth  wealth + Wealth-inherited-mid]
0 h2 {' n% n! ~# n% N& b            [ set color green , J* L; U' ^6 r; A' z8 x
              set age 0
2 g$ |  o* a8 O0 H0 a              face one-of neighbors4
, W$ Q% k+ q! d. b# D. r' F              set life-expectancy life-expectancy-min +6 z4 o" L- P9 H1 Q/ y
                        random life-expectancy-max  + 2
% K% @: c. Q: G' `              set metabolism 2 + random metabolism-up7 s4 W. U+ F! H! S5 L
              set wealth metabolism + random 30" W: Z1 e$ V& I% [
              set vision 3 + random max-vision% l; |5 S/ u6 Q0 [& m
              set wealth  wealth + Wealth-inherited-up ] ] / f- k1 T+ V4 {# I

4 K2 s  B8 f0 V( ]+ O0 nend
7 f' Z' T) w' `# I% cto set-initial-turtle-vars-wealth3 O  o/ [! m1 |- w+ o
let max-wealth max [wealth] of turtles
; E$ t, W  ]& y9 Q# Z% u4 f4 t+ C. ~          set age 03 |. w* V5 V' ]8 ^$ G5 L; _
          face one-of neighbors4 & {7 N5 j' x% t# x  |/ S% Q
          set life-expectancy life-expectancy-min +
2 S8 K: D% g4 K9 w4 L                        random life-expectancy-max
7 J1 D! ?6 K1 v( X          set metabolism 1 + random metabolism-up
: T' q% _5 n1 \* g3 J          set wealth metabolism + random 30
1 f9 m, T0 P4 g) V( l$ T          set vision 1 + random max-vision & A# @+ s1 s, q2 E# g3 _
end
+ l1 |% ~, W) j; T* I' H8 g3 Fto redistribution
, Y+ B6 Q% y7 b5 A" qlet max-wealth max [wealth] of turtles! d* p1 W9 p" Q" j% X7 S
let min-wealth min [wealth] of turtles- k( J: q! M$ B
if (wealth <= max-wealth / 3)2 Q+ q% l' e+ \5 f7 S1 f5 e: \
[set wealth  wealth + Low-income-protection ]
2 h! R9 o+ L% Hend
8 u/ u' h3 c+ l; u2 [. d# c          * z4 ]% j6 q- q2 o% _
to recolor-turtles
; T3 d; v4 }# }# e* H* U  let max-wealth max [wealth] of turtles2 i" [; B) a4 _0 |: U$ {
  ask turtles( n" K7 S' g) M) F: J
   [ ifelse (wealth <= max-wealth / 3)# `; a2 D" ~9 S0 ^9 k% l
        [ set color red ]" r& O' N0 ?: j, Y+ Y1 V, c6 C( R
        [ ifelse (wealth <= (max-wealth * 2 / 3))
' A2 W( v8 C5 I5 E9 N. k            [ set color yellow ]+ o$ [3 a+ V9 M$ |2 ]2 h( T$ w+ M: l
            [ set color green ] ] ]# K! p/ G# S) i4 M% s; X9 R
ask turtles [ifelse show-wealth?
% s- H" z! b+ @* A  `; g$ }    [ set label wealth ]: S0 j; g- t% ^6 L' |8 [' V" R
    [ set label "" ]]
! ^9 ?% @! D6 r2 `# o" H# Uend3 o3 p, C- ], G% X2 U  \
/ l" I8 C9 g: e  \7 m
to go( V- h+ R9 x$ s. J
  ask turtles2 y+ V( K3 i& Y! z1 M) |0 h8 X
    [ turn-towards-grain ]  
$ d0 ]) k$ ]5 I5 d  harvest$ `! `) y$ j+ v
  ask turtles
, ]4 c/ v; }1 Q    [ move-eat-age-die ]' J* {* @) ]  B. Y
  recolor-turtles
* o! y& R" `3 o' z, T# q# W  if ticks mod grain-growth-interval = 0
7 D% o5 o) h& y9 @- c4 J    [ ask patches [ grow-grain ] ]1 d, D, F3 t" {! a+ E' j
   ; n6 `$ k/ g7 u' W( ~6 y
  if ticks mod 11 = 0
4 w" v+ ^8 O% P9 a0 i  [ask turtles7 l- r. y) v: C' R6 Q: h
  [ redistribution ]]
  ]+ F* Y" L- _1 [: S3 t  P  if ticks mod 5 = 0: x2 N( Y* `$ V* U- h  Z* ]' a* i
   [ask turtles) n5 \4 c9 B' v. B% x! T; J
  [ visions ]]4 s5 ^0 M) {0 Q
  tick' t: `4 x; u: @. }3 q' \
  update-plots
/ V) u: w1 P, [  mend
# E" J/ K3 ?1 A$ k9 Z8 F" F  d+ X  _1 v, Oto visions# L- l- W( I2 x! Z: Y; ]+ x
set vision vision + 1
( s3 b( h; \& o4 B/ Bend# I/ _* O* K# B

! s0 p" x) x( ]1 ^' ^
/ z- M& F0 f/ _# b% r- L# _2 p5 W$ Z/ z' H  n; p8 ?5 ?; z5 C
to turn-towards-grain  
: u5 \; q- c$ g. ?# C% B- _# P  set heading 08 t9 }& g  M* v# M
  let best-direction 0
4 {1 E4 X8 o) V' V  let best-amount grain-ahead+ ^+ i, X" c! N+ b
  set heading 906 Z) k0 C+ }0 ^$ o  W
  if (grain-ahead > best-amount)" ^& C7 d& U* _4 }; x, V
    [ set best-direction 90
+ I0 h6 X. X3 V1 ^/ v% L      set best-amount grain-ahead ]
2 b% z7 d1 V& t8 l$ e7 n- b  set heading 180! N3 r# z+ x# v& Q
  if (grain-ahead > best-amount)
6 k4 V8 }5 ?  Z4 Y    [ set best-direction 180
7 {9 U7 v# _$ m1 i8 |      set best-amount grain-ahead ]7 {6 K) W6 N1 G0 ]. t' d
  set heading 270, F8 e% @/ B& g# @9 Y- d
  if (grain-ahead > best-amount)+ M& Q; o1 O7 f3 i" o2 O
    [ set best-direction 270! V3 R% Q5 V' }' v5 Z
      set best-amount grain-ahead ]* ^- x6 o( w7 t0 x
  set heading best-direction5 l5 D% D- _/ v
end
- y% K3 v( d2 q/ w
1 A2 V" _& @8 P8 b$ ]) a1 Y6 e
to-report grain-ahead  5 a, }  m5 V7 A( K1 Q& @
  let total 05 n$ _/ t0 q. S, [4 ?" z- |
  let how-far 1
* j1 S" k) U  t; A, ?  repeat vision" N/ M9 A* a# v& w* M
    [ set total total + [grain-here] of patch-ahead how-far
; k' O/ a! [$ a7 \0 f/ `      set how-far how-far + 1 ], ?! l& S' q4 X) R6 j2 [2 Z1 ?
  report total' ?; t" s- k1 i$ y
end
- p% N2 A2 ~2 ]9 I1 t
- o& m' E: V8 e5 L0 B- Zto grow-grain
; m0 d$ j7 j4 ~  |/ O  if (grain-here < max-grain-here)
+ [2 D: y! Q+ ?) {    [ set grain-here grain-here + num-grain-grown, n- s5 {1 D! }7 M& O3 I. ~
      if (grain-here > max-grain-here)
. L  x) j1 _& N% \9 D: i( ]" c        [ set grain-here max-grain-here ]
  k$ S. z0 w6 v+ B      recolor-patch ]
7 w. ?, r, i6 a. T% h7 Q7 S( P  send
: D& y; [4 R, g' e, v0 N- Tto harvest, P" l7 I0 r3 M' _4 F- g
  ask turtles$ f  M% u" Y2 m( n0 R4 K* |
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]' @8 Z1 @. n' f, F9 @( @) H
  ask turtles- \+ k, O" [7 X- N% I
    [ set grain-here 0
. C: X$ w4 F$ j      recolor-patch ]4 }0 k5 K0 }- V9 i
  " Z# h  s( o* U; _/ V
end1 p; T7 n) I/ S# N$ i8 K% C
# S% p& G- k) O2 ]. T$ {: Z
to move-eat-age-die  
& J1 E  K& [5 ~' j" i9 A  fd 17 L$ o+ P' _7 B4 R: n# N; D
  set wealth (wealth - metabolism); b* N2 U# L/ _- h, z. i: ]
    set age (age + 1)
. A: q5 k& I3 X& r3 _9 r. X  n  if (age >= life-expectancy)
- Y! j5 o4 s  s1 _& d7 |' q    [ set-initial-turtle-vars-age ]
, v* I0 G" a3 m8 t- b- P  if (wealth < 0)% O8 {3 ~% i& v8 l
    [ set-initial-turtle-vars-wealth ]/ u) S9 f) M6 [
    # i& W; m& G/ _
end- {' V* O3 R$ }; I) P4 W; n, S
8 ?" w7 n; p; E) @: p% C  ]& X) O
& ^- |6 y% S; ^/ G
to setup-plots
9 [; u7 Q7 R3 D6 Z4 W( U  set-current-plot "Class Plot"9 P, k4 k4 H, H# |' ?% o
  set-plot-y-range 0 num-people: l3 L: M& O3 G) }
  set-current-plot "Class Histogram") d3 k7 G# @9 p/ P, A6 P+ l
  set-plot-y-range 0 num-people
$ w  h1 ^! j/ _- P! \end
0 `. u9 L& s* a/ C0 B4 h8 r1 S
2 y" U! s$ o1 ^; [6 Jto update-plots8 N% ?8 b4 o7 l2 E% ^
  update-class-plot
# s3 m, b+ w) d. A7 Q0 R' s& q  update-class-histogram
, \- m* W6 i" _' X2 h! ^  update-lorenz-and-gini-plots
6 E6 u" n, y' U: B; w7 lend+ G) n) o# h' c" _
5 j. P5 @$ D" P5 @. U
to update-class-plot( A; `1 d- i8 S! y
  set-current-plot "Class Plot"1 _9 I7 e/ p" h9 I! u! P5 k" ?/ V
  set-current-plot-pen "low"
2 }3 H3 U+ |( [# S, w( u* M  plot count turtles with [color = red]' U2 @9 R/ T' k" S1 t* [) i5 Y
  set-current-plot-pen "mid"8 p  F1 ^4 [2 P+ b: b
  plot count turtles with [color = yellow]
4 |# H! Q- L: C$ K. Q& z! g$ g  set-current-plot-pen "up"
- |( C$ A1 }$ \+ A  plot count turtles with [color = green], f9 Q' T, ~7 b  l2 g  w, k9 q' [
end+ y/ Z& X" ~1 ~

1 U( p! Y- v' K- ^+ w) ?1 T8 m2 Xto update-class-histogram  P7 Q( l- W: L# U& U
  set-current-plot "Class Histogram"
. U- L) S* i, x- g1 P0 ~  plot-pen-reset+ g/ s6 w6 p) v  Y: _* \" J+ B
  set-plot-pen-color red1 x6 \: v6 b. G. ~9 i! g5 m
  plot count turtles with [color = red]
: [& ]0 J1 O% P4 u5 I  set-plot-pen-color yellow3 C2 c; C9 f& P- D2 A
  plot count turtles with [color = yellow]9 i. m7 d0 w' y, n  K, c. W
  set-plot-pen-color green/ j7 @, y9 Z1 S0 R5 p, W- A0 A3 p" y
  plot count turtles with [color = green]
1 }+ M, M! R8 Vend
+ k& L/ F3 [' g: Mto update-lorenz-and-gini-plots
9 ~# E' W3 \& [0 p  set-current-plot "Lorenz Curve"" d( Z" s9 x4 i( J+ J
  clear-plot$ V# l5 U( w( i0 ?

5 S* {! J3 _" |+ d) N8 p1 T7 z  d  set-current-plot-pen "equal"
  K# a0 L8 z7 o* ?  plot 0
6 }% `+ X) Z4 n" V* Y  plot 100
2 t  a. `* b2 m- L  o( }/ q) f
9 H' m6 _! n, a' Q  set-current-plot-pen "lorenz"4 b" E2 D5 P" t3 e1 b0 ~# }" \
  set-plot-pen-interval 100 / num-people
/ T' V$ a2 Y6 K& `' ]4 \7 a  plot 05 u4 C, c, {+ _9 I! u
2 h% c  n! S4 r+ W6 I4 {  q
  let sorted-wealths sort [wealth] of turtles
3 ?9 H8 m( T9 v; d# y* n  let total-wealth sum sorted-wealths
; v- X4 o! g& N6 [+ S7 r3 O  let wealth-sum-so-far 0
7 k) v0 Y+ \4 p! {+ l. ^0 J$ \7 K0 N  let index 0
- O0 F5 m  }9 f: d2 |  let gini-index-reserve 0
  y/ ^$ F: _7 I: L$ R- I* \- ^8 b3 c0 v7 l
  repeat num-people [
+ x# d( S: k  {1 w6 ~& O    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
) ^/ U3 [$ Y- J1 Z& ]0 O9 I6 V1 B    plot (wealth-sum-so-far / total-wealth) * 100
1 h8 q; }/ E  z0 O$ W/ k, N$ j    set index (index + 1)
1 V- X% e; G; G5 V7 R    set gini-index-reserve3 Z7 H9 m( V1 i- u. k, }" O; @, N" d
      gini-index-reserve +% i3 W9 g3 z; F: r9 G
      (index / num-people) -, c; [+ h3 K# `# O) H
      (wealth-sum-so-far / total-wealth)9 q- t1 T1 p1 q/ q3 F
  ]
) n, i9 S  D: T' i9 Y
8 W( G. U8 j+ N0 d4 {! z1 M5 Q9 d  set-current-plot "Gini-Index v. Time"
6 s: N" }. z0 J4 N# Q  plot (gini-index-reserve / num-people) / area-of-equality-triangle2 o( U+ B( T3 Y5 K
end
5 J( d% O% }9 f, h/ L4 y# k* Fto-report area-of-equality-triangle2 u8 F( G$ ~% _) x" t8 ~4 E& J
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
0 \# r" X2 ]+ Nend
 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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