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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
5 z- X% v9 g: m) O9 B! o8 X, p$ uglobals
# r# q: t5 r  E[3 d9 K  _: R0 Y- x+ ?8 q  q( i
  max-grain    1 j7 l  `+ r* f( Z2 U( v, `8 C8 U
. Q; N7 z1 G. X. d+ D5 @
]
  y8 `: {8 E- M, K/ V, F) z
1 K' u# x, _6 Xpatches-own
, K# x& j$ P# O# I- Q8 |3 Y* i: x[
2 p1 {$ [1 r' w  grain-here      7 x2 N6 n3 ?% A
  max-grain-here  
) l. z1 i3 |7 D/ [2 u7 m- ^1 o9 }]
4 g+ R6 Y& K; z, m$ Z
0 M1 K" U- m  L1 C4 o5 c4 B1 Iturtles-own1 i( G: o& _9 Q( Y
[3 C" {1 N. u. M$ i/ A& D' W
  age              
2 ^# R+ V& {0 y0 W9 R9 C0 ]3 Z. ]4 j  wealth         ; T1 X7 c: @/ G
  life-expectancy  2 K% d0 O3 Y! g  x  b$ @# W$ _& S
  metabolism      
$ n; z1 v2 a! z  }+ c  vision- c9 G$ O2 p) R9 y2 G- O6 f
  inherited         % b; y& u' _+ [7 Z; `: c
]
" e$ D. R9 [) i' F& ]- [2 w8 L
" ~& L6 Q# \# L6 ^# ^1 V) K* N  l# D
to setup
+ r& n1 D0 K; q3 O1 M* @& G  ca
, g. `% [1 N" ?: a2 `% [  set max-grain 507 j( ?& G6 M6 @3 z
  setup-patches* N1 {0 k  \- r
  setup-turtles: S% _/ I; w( G8 V. j. D
  setup-plots3 {3 n. v7 Y5 Y. }$ c
  update-plots) n! e. t- T- u/ z# _
end# I" H  Z# h6 U& u6 s4 F* }; C; y
to setup-patches4 ^7 S+ H5 b* p2 x8 v5 k2 t
  ask patches- S; b* N, E$ k8 m/ m( l( Z
    [ set max-grain-here 0& h# C: o* }4 f& ?8 g
      if (random-float 100.0) <= percent-best-land
& _0 j2 c/ l  j5 b7 C* [        [ set max-grain-here max-grain- ^" z" }# O  O  O- K: v
          set grain-here max-grain-here ] ]9 Y  {0 R) C) a
  repeat 5: H) y+ X8 K8 _* a5 V
    [ ask patches with [max-grain-here != 0]
, \% N5 i$ I  A5 p. \        [ set grain-here max-grain-here ]. R; O- ]8 F) Y. x
      diffuse grain-here 0.5 ]9 p* [1 U) S, a# d2 L0 i- O' t
  repeat 10/ a: j6 V' c8 _0 c& L; H2 v, Z
    [ diffuse grain-here 0.5]         
6 E# m  W! C  I6 Y  ask patches' S  \" t2 L) x3 f( @7 Q
    [ set grain-here floor grain-here   
- m) V% I- e& A. P      set max-grain-here grain-here      
) X8 d9 y/ e' m2 w6 _8 H0 |      recolor-patch ]
" W) f6 [- e4 G/ Y6 j0 \! N6 pend; h, z; j0 o% y6 d
to recolor-patch  
6 }  H( m: v, n% A5 u* U$ n  set pcolor scale-color sky grain-here 0 max-grain
3 S2 m* o% Q! s& Aend
( x  o: V1 ^4 z" cto setup-turtles5 ?3 m' ~, C# n% n; D
  set-default-shape turtles "person"
/ c$ g3 h' M: d' n  crt num-people
; T( M: h$ j$ R1 P    [ move-to one-of patches  
& k% M: V; v- J6 Z# r& o% Q      set size 1.5  
: {5 I9 l/ ^- M. p      set-initial-turtle-vars-age
. s! [# Y, D8 U6 _( q8 v      set-initial-turtle-vars-wealth
8 K( ~7 f, Z. t- D: `      set age random life-expectancy ]
' ^# U1 D4 N9 c) g  recolor-turtles
/ d4 Q$ y* |0 Z( m; O3 H$ hend" k; \1 l2 F5 b% ^" A2 @
6 D% `: ~' a' t# h" c) E
to set-initial-turtle-vars-age
; [7 i2 u: p. g  W  Z( B let max-wealth max [wealth] of turtles2 T1 k& ^. e: [  U  C8 T$ L
   
4 ]) m+ }3 }. A, g& t     ifelse (wealth <= max-wealth / 3)
$ q. u7 p) x3 M        [ set color red $ g% X2 r+ v2 O) Z$ ]) z! g* T
          set age 0. `/ ]" Z' |$ D) f- P
          face one-of neighbors4
6 W, t5 d9 t$ z  h5 {9 e          set life-expectancy life-expectancy-min +2 ~6 ~/ m2 }/ R) N1 @
                        random life-expectancy-max
" r: d: b' V$ r% \: U5 y          set metabolism random 1 + metabolism-low
2 V/ x$ Z1 f( B          set wealth metabolism + random 30
% [$ g: a4 t& f- N/ T% h& }          set vision 1 + random max-vision
) _8 ?) V$ x6 b( ~6 A             set wealth  wealth +  Wealth-inherited-low ]
5 T' @5 b! P9 ]- C        [ ifelse (wealth <= (max-wealth * 2 / 3))
# H( o3 _/ Q% z, D            [ set color yellow 5 e$ K' M1 f$ O' o9 ]# _; o
              set age 0
2 b) M5 k5 }% o; {' r              face one-of neighbors4 ; B; I. |1 o/ b9 v
              set life-expectancy life-expectancy-min +
, u" P& w! w3 ^5 n                        random life-expectancy-max + 1: S7 \- P) n* R, r# B  l
              set metabolism  1 + random metabolism-mid
$ m) |- P$ C* Z5 x" h# L              set wealth metabolism + random 307 H. I' H9 B& _. }
              set vision 3 + random max-vision9 s  o* ^+ @& p9 ]+ f
                set wealth  wealth + Wealth-inherited-mid]4 q, G# t; a% W3 u6 F
            [ set color green
- D2 `9 j! C" R# B. q# S2 d              set age 0
, y2 y+ n8 b- i- w/ X1 W              face one-of neighbors4
1 [- k5 ~3 ]+ x              set life-expectancy life-expectancy-min +
( v  E5 E; K7 B5 j0 y                        random life-expectancy-max  + 2) m& i- J1 w* i1 C" v% t
              set metabolism 2 + random metabolism-up
/ Q* @( D2 I. F& g* N0 j              set wealth metabolism + random 30
, S, Y: e6 d" H1 S              set vision 3 + random max-vision
% k8 [/ c* S" i# ~              set wealth  wealth + Wealth-inherited-up ] ] - I2 ]# b0 _2 J# W
, g- s# p% q3 a* W- `1 i: @
end
2 M) a- L7 f7 E3 w) @. G  lto set-initial-turtle-vars-wealth
; ^6 C& M2 |( D let max-wealth max [wealth] of turtles
: O) D3 Z& h$ k% u          set age 0
( Z, }- ~8 V6 }* f7 y. z          face one-of neighbors4 , e% D. Q( G5 o; Z# ~2 L6 b
          set life-expectancy life-expectancy-min +
  o+ Y6 K$ C1 ]: c                        random life-expectancy-max 0 i/ g- [) O2 {$ N
          set metabolism 1 + random metabolism-up' |* O- J4 K$ M' \. n5 _8 y# i7 _
          set wealth metabolism + random 30
$ H0 L" I/ W6 c% b: X6 u          set vision 1 + random max-vision ( O* C5 a: Y; `3 y
end
  Y: D& l# T: j; j  p' Xto redistribution
& Z+ }( P0 c7 _; Clet max-wealth max [wealth] of turtles
0 A- t6 F$ K. @2 h1 Blet min-wealth min [wealth] of turtles8 T0 `$ k( v- ^5 @
if (wealth <= max-wealth / 3)
- i* d" H$ ]6 d) @3 h+ t9 A) ~$ M [set wealth  wealth + Low-income-protection ]3 h$ s% ?: ?8 L7 l& I! E& N
end
! D) I1 Y2 M7 K, t. @3 Q8 F- w3 j' ~          - |/ I% H, R& X6 T
to recolor-turtles
& @2 {8 ^/ N9 I0 ~  d2 W; J  let max-wealth max [wealth] of turtles& W0 f0 M, j6 R! d5 @
  ask turtles8 [7 n: z1 c+ P  A" J
   [ ifelse (wealth <= max-wealth / 3)0 _  _: k( g( [; H; q: H/ i7 `* ]
        [ set color red ]
5 I- n2 k" D" w/ A7 m) S7 D" l        [ ifelse (wealth <= (max-wealth * 2 / 3)); H; m) c8 E/ r
            [ set color yellow ]7 e, p0 G- ~' M0 U# v* n/ Q- M& Y
            [ set color green ] ] ]! c& m9 w: k; z' Z( L
ask turtles [ifelse show-wealth?6 k$ F: ~2 c, O6 e' T. b
    [ set label wealth ]8 X( U" Z5 h! ~
    [ set label "" ]]
3 ?0 H+ P& U0 j; o2 t( a" }end# T& \4 f: s( `; ^
3 c, C! N% `, \! ]6 E/ f/ M7 A8 K( g& y
to go  S9 N' O+ t  L  U! C7 L/ A
  ask turtles$ U; z& S7 G' [) u; ]
    [ turn-towards-grain ]  
+ ~2 x# C1 r6 I9 Y4 n) C/ {  harvest
9 C5 U! K: K- F+ ]" ?  ask turtles$ w" M1 W7 d9 R5 Q+ k* _6 C" E- L3 H
    [ move-eat-age-die ]
- h: F9 F+ c/ f  recolor-turtles1 `& Z8 ^! i  V3 p( }* S+ O
  if ticks mod grain-growth-interval = 08 g$ C! Y! v/ N# B6 N
    [ ask patches [ grow-grain ] ]/ T4 x9 u2 \0 S
   
% i) o2 m# M% a  h$ p  if ticks mod 11 = 0
3 j3 x4 a0 q1 |4 A3 n( K1 _  [ask turtles9 q9 ?8 K* u& g# p8 }4 G
  [ redistribution ]]' Y( `% q# a0 l8 m; D
  if ticks mod 5 = 0
3 B0 {# \1 ^7 C) L   [ask turtles" ?- z* X! z3 g* J9 f8 {
  [ visions ]]
  }& [- U. D+ Z7 z- e7 X  tick9 u6 E) c0 e( |2 i
  update-plots
) _8 M' F! @$ q6 _" j1 e! Kend
8 u. \$ R) `# Y, g; R  fto visions) F6 ~; w; {3 [+ G6 i; M& [
set vision vision + 1 $ {9 [( E; n( x$ {$ D
end# `' |0 R8 P* {7 v
, v$ Q$ j. |! p; {( T
8 Y+ [* ?' C& B, T& E, J" Y

" {6 ^" @* M5 @8 U6 b( D: G' I7 C  J/ Oto turn-towards-grain  
) q# f4 i) B4 q3 p  set heading 0, G! V$ B/ z8 F: Y) A+ n+ }
  let best-direction 0
' }2 D3 D1 r# P1 p) m) p( h  let best-amount grain-ahead' [6 D( {+ i1 `
  set heading 90
% o- f& [0 V* w% g  if (grain-ahead > best-amount)2 d" A! O' P3 b* H
    [ set best-direction 90
+ d" x/ D# E1 }7 t      set best-amount grain-ahead ]
( X0 n% @& j$ ^% }- z! X  set heading 180( s! Q/ g1 @( K1 |
  if (grain-ahead > best-amount); k  R  r% r' M% T
    [ set best-direction 1804 Q4 v0 q1 ]2 R4 ]
      set best-amount grain-ahead ]- x" d$ N, f3 ~) F5 _* D  M4 I
  set heading 2708 c# g- d' j" n% @0 r, {
  if (grain-ahead > best-amount)
# o/ n: D6 a% y2 q0 M    [ set best-direction 2701 V: E8 R5 F, b4 ?
      set best-amount grain-ahead ]: ~/ }0 Y% |  @! }  d
  set heading best-direction
$ ]& ^+ s& o5 ^end
2 {/ @: Y( W2 I9 N1 F+ B8 h3 G* z% Z+ p4 ]

( e1 [) j" ~! Y7 s! H5 `to-report grain-ahead  
( \; F2 C) t+ I$ }$ l  let total 0
% A& }: v- {5 b! l& `  let how-far 1
) d( U& K, O* c8 |# }  repeat vision
$ b; K% v" n$ F! l' `    [ set total total + [grain-here] of patch-ahead how-far
& L% j+ w$ w( O      set how-far how-far + 1 ]
' x1 y. J+ J5 S  `7 d  report total2 w: A0 k8 W7 x, V6 ~9 x7 w
end
$ V! K2 E* U& n! X: F/ O  _) D4 c" `- o0 T7 N
to grow-grain
- D$ {: A9 O4 z0 ]3 o2 J5 ^  if (grain-here < max-grain-here)0 B: l- e2 I" Z3 N/ G
    [ set grain-here grain-here + num-grain-grown) D; K- S/ L5 @+ z
      if (grain-here > max-grain-here)
& |2 P: y( c1 u9 q, s* k/ T        [ set grain-here max-grain-here ]. t! H) [1 {. q' ~8 W6 k! V1 \
      recolor-patch ]
! N% g+ l  ~$ O" M" b6 a) s+ z' bend
: s* A0 U/ o& ^' Yto harvest+ G  G0 t: m6 Y- J9 e& k
  ask turtles
1 X) i7 e- @* H( D    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]2 B8 M3 j2 L( M# y  \% w  _: A& G
  ask turtles7 l$ R1 F8 g4 q$ N& H
    [ set grain-here 0* b6 o/ N4 {9 F8 u/ ~  t
      recolor-patch ]
  m  J# l0 N( {( C5 v" Z  + C6 i8 ?7 X8 L( y
end+ {: k$ F- o! P' T2 [

0 X% V4 v1 _+ y9 r" ~: K7 Y7 xto move-eat-age-die  
4 P  x' _) \( M4 t% A4 |: |  fd 1
# K, O/ g. ~- E" t  set wealth (wealth - metabolism)
& L8 p# V5 D$ L$ N2 q) b    set age (age + 1)' S. j: ^" s$ A$ Q/ j" K* _, ]3 t
  if (age >= life-expectancy)) O3 m; N. L6 L' ?1 l9 J6 z$ ]
    [ set-initial-turtle-vars-age ]
7 b: Q9 I) m1 X+ Z" J  Z. v7 w  if (wealth < 0)
( ^2 U, G/ W1 V2 m$ M2 O4 T9 A    [ set-initial-turtle-vars-wealth ]+ k' g/ ~: j! Y
    $ [4 c- l' r- s; R% u6 b0 c
end
; s* Z  K# z5 z6 h/ A
( W* [- F6 B# g* V3 W6 p) b6 O/ y. x6 c. Z+ W: }
to setup-plots1 k/ i0 k# Y( J& a: `3 y$ Y
  set-current-plot "Class Plot"' @. X/ W* P& z, T8 C" N! M
  set-plot-y-range 0 num-people$ r+ E- ^1 l( u
  set-current-plot "Class Histogram"2 F* S2 K. G4 Q9 D8 l
  set-plot-y-range 0 num-people
# @( w* ~; I; w$ F. R: k5 l) Y" Xend7 a  @% a" J1 J% d- v4 e6 ?; G8 C
# `; n  G) z) c. m
to update-plots0 X1 C8 i4 |1 m# R7 {2 ~
  update-class-plot
( C8 y7 e8 G% C  update-class-histogram
) V# B1 K6 _# ^4 u5 Z  update-lorenz-and-gini-plots
. \9 u. L3 i% N2 |* k$ [8 S7 rend
4 m; }2 y! r' h, {" O4 k6 f# o& a, s. R
to update-class-plot3 D3 `6 e' q3 Z, Y: v) }4 o
  set-current-plot "Class Plot"  F0 b8 z- F* B3 u& m
  set-current-plot-pen "low"
+ M& Y& B5 \, z" m" X- l5 J  plot count turtles with [color = red]
5 ~: u1 h. ^$ D2 B( V* H: T% I  set-current-plot-pen "mid"& f% ^0 C4 v( E# y
  plot count turtles with [color = yellow]5 }9 a4 d# S& G2 ~/ \
  set-current-plot-pen "up"
4 p/ ]5 y" E1 j  plot count turtles with [color = green]
3 O4 f* C7 _! v- q6 `- p: I/ kend
" K0 j5 r2 k' v/ R' Q& [: G7 S5 U5 u! W2 x0 j8 f
to update-class-histogram
  o2 n/ |6 b7 l: ^: c  set-current-plot "Class Histogram"
5 {4 m. D; s8 t) o4 y' i  plot-pen-reset
% g' R0 ^6 u# |9 T  F8 U  set-plot-pen-color red+ v" u% f  J$ ~* X1 U
  plot count turtles with [color = red]8 d! @3 ^& z: R9 o, a
  set-plot-pen-color yellow
! e' F5 [4 i) N% P  plot count turtles with [color = yellow]
$ v2 k5 w, C; E" l+ }) _& D  set-plot-pen-color green
6 Z7 }" I8 ]" {0 B0 u* j: a  plot count turtles with [color = green]
& }! p! u# {5 S  b, A6 Pend
  j/ `1 ?0 Y! C$ q; y6 Uto update-lorenz-and-gini-plots
$ K# {* u5 Q' Y* U8 r5 l  k- l, B  set-current-plot "Lorenz Curve"" l( G# k2 y' k& S0 H3 D: F$ s1 l
  clear-plot5 Y( h: M3 Y! C# K8 x8 ?' W" Q- @# T
( f7 u$ w% N, r9 z+ e2 k; o
  set-current-plot-pen "equal"- d- E+ @( Z( z3 g$ q
  plot 0
' x8 |/ g" {9 y. \7 {  plot 100- p1 k- b% X) a$ |

: D! ~5 f, {6 v" X' }' A% E9 s  set-current-plot-pen "lorenz"2 z6 h0 r4 _3 K$ T/ u2 ]# u
  set-plot-pen-interval 100 / num-people- o  Z# K( k0 y1 c8 n
  plot 0
7 F6 N( g: t8 A: S
+ ~/ M; b- ?. T, B1 c# ~6 A: K1 V6 f  let sorted-wealths sort [wealth] of turtles  d& [& b1 v# M# s$ _( N
  let total-wealth sum sorted-wealths' s& f- F4 g/ W4 L, N( @! B1 w
  let wealth-sum-so-far 0
" k% k8 G$ m) k8 T' }  let index 07 T& r( H# B# ?: g
  let gini-index-reserve 0
, U9 z6 `3 t/ {% j5 c3 y' W4 ^8 g5 r
  repeat num-people [7 d3 j( D2 P: G- b3 a4 u
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
6 U: Y( x0 \# e8 s  q4 L    plot (wealth-sum-so-far / total-wealth) * 1004 c$ a$ Z+ }/ b: i( W8 e5 I
    set index (index + 1)
3 I  x5 V  N$ V; @# f0 ~1 ^! G    set gini-index-reserve1 S, v. K8 k, Y/ G% E
      gini-index-reserve +
4 |1 s4 K2 ~1 C      (index / num-people) -1 C1 v0 t0 O# _) w6 Z. g' s
      (wealth-sum-so-far / total-wealth)
. s# X: O$ g/ Y. V3 B  ]/ K% G( A4 h/ y. D' K9 n+ g1 I
8 @9 |5 _; \* C" a* _: t+ p
  set-current-plot "Gini-Index v. Time"6 i! n( E! N5 X
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
' \+ l/ B! O* Bend% y- P% U5 |' x; E) K( N* _
to-report area-of-equality-triangle* @# R' ~7 w" R1 c$ A
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
1 e. t/ Y0 T+ \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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