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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8 w5 y- y% f/ T$ L" u. T
globals
, r) A4 D3 x* o; A  w6 D[
! d' m8 Y" |/ z9 w" E+ q8 s  x/ T7 m# G  max-grain      I* @# U9 ?& G, o; W) z

$ \1 N. q4 Q1 d6 W6 M9 l: y]
$ _7 ^& t6 H* o3 @0 F& U' f  j
patches-own& m" g7 i, J) R  @) H' U
[
8 u. r( i, g6 ^- v' T$ X! c  grain-here      9 W2 C/ z" m2 k; A4 u) |& M1 `) i
  max-grain-here  
- _8 q  {, E5 h) ^8 _- x) r- T]3 H8 w, }8 @9 U, e) v: y: `8 V

+ z9 l% }9 ~: \# |' \) C1 T+ e0 nturtles-own- l; M2 p3 U) o
[. b. [5 c: [. y% n' ~* k2 b
  age              
! _+ f/ k0 i& y2 x# x; O! L  wealth         $ t3 |4 @( s4 M0 a1 X
  life-expectancy  ( A) E  C0 W( d1 @" n* ~6 m2 f
  metabolism      
# C  }5 ?4 _2 k' g, i2 O& B  vision
  f1 S7 s. \* h2 y, d  inherited         
, Z0 C$ n4 _; d0 q]  M* }0 E, \1 c3 s, ?3 u$ h, h* }

- }1 b/ I, u. i2 P8 }
  j& r2 ]! s2 f0 kto setup
7 h* M( F5 c; `" x/ ]6 L. a1 K  ca
5 u' P' I+ w* ~8 N7 v  set max-grain 50
! n  q0 _$ d3 I1 R) t) D0 K  setup-patches
) b4 f0 J" n( U8 r- @) |  setup-turtles
/ j' n) N! K  d/ F" ^  setup-plots  t4 n# @7 y+ u' G( ^
  update-plots( d6 \2 o& `, |8 {$ ~8 B4 b+ C
end( J& ?& ]' Q% _5 j( A* Q, H) w
to setup-patches4 v4 S  k7 b0 h; c2 o, C
  ask patches
) h$ Q- e! V4 D/ i    [ set max-grain-here 0% d# @  {- @8 c' T
      if (random-float 100.0) <= percent-best-land; k  |1 L) l# I* S$ d/ e
        [ set max-grain-here max-grain
, O" p% o- M$ b- P9 [/ L9 ~1 m          set grain-here max-grain-here ] ]) e2 H9 F4 |: J5 d4 ^$ T+ F
  repeat 5
& ?; l) f% z+ T4 ~7 V# u2 v/ S2 j* V4 i    [ ask patches with [max-grain-here != 0]
% F6 p' B1 Y' r* A6 ?) n        [ set grain-here max-grain-here ]6 r* _4 L' _8 X3 Z
      diffuse grain-here 0.5 ]
: F: x" _0 b/ }' y  repeat 10  V' O5 |! f' J
    [ diffuse grain-here 0.5]         
, R$ l* f7 ]9 ^+ E/ @! U) ~  ask patches' s- U0 u" r* v' p% ~
    [ set grain-here floor grain-here   
, w0 {1 O% H2 T      set max-grain-here grain-here      
4 H' S& V. G3 ~3 h9 x) q4 @      recolor-patch ]( Y8 s- G2 r% Y4 _1 E+ n% W% u
end4 Z" n4 c8 A2 Q/ }' ^
to recolor-patch  ' d; r) h; A4 p4 \: ]" ~
  set pcolor scale-color sky grain-here 0 max-grain2 Q6 q2 q  z$ m4 Y' i$ L
end( X) i! G7 V- Q: w4 Q2 P
to setup-turtles: _- G6 `' g' e( u
  set-default-shape turtles "person"
. U# f2 o: Y0 U" j0 r/ {  crt num-people
+ E9 P3 e$ ^9 C3 V3 n6 L' }    [ move-to one-of patches  
/ `. E, W6 o$ F      set size 1.5  
0 ~9 ]4 ~+ x# f0 F, W; _4 C' Q# `      set-initial-turtle-vars-age
- R1 G: z3 ~" l      set-initial-turtle-vars-wealth* P7 v, Z6 Y6 x
      set age random life-expectancy ]
4 g% P# q7 _7 `# Q  recolor-turtles
4 W4 Q* d9 o; q1 h5 r0 Fend5 u5 H  W; U7 s
; W1 ^1 o# I, H; T: e$ U  m
to set-initial-turtle-vars-age
. H7 V, P+ T$ s/ i9 M" K2 J let max-wealth max [wealth] of turtles  X  ^% e/ j/ {7 E8 k
   
/ C7 O, a# M  e' C     ifelse (wealth <= max-wealth / 3)
* N# }% `! T9 x% W2 m        [ set color red 2 X& p* a) i. h4 h
          set age 0
- `0 J6 j6 S+ `% u4 p* c          face one-of neighbors4
. [* V  E! d9 W" \" F/ j# k          set life-expectancy life-expectancy-min +
* |& H, S  @2 f9 d+ H                        random life-expectancy-max
) m, K+ Y1 |' C+ r          set metabolism random 1 + metabolism-low
6 v  O9 y! E$ j1 p          set wealth metabolism + random 30, d3 x+ L( F# ]
          set vision 1 + random max-vision
& [" i' T, p2 P& S, l2 d) N             set wealth  wealth +  Wealth-inherited-low ]4 g9 {* r0 e2 M
        [ ifelse (wealth <= (max-wealth * 2 / 3))
0 d. ^' T8 P! T# A+ J: Z! K+ C            [ set color yellow
$ r" K# v; T) L7 q* V              set age 06 N8 U' `) I. x8 x5 Y* Z& {" {
              face one-of neighbors4
' e/ ]1 ^* q3 W. P              set life-expectancy life-expectancy-min +4 O& ~' f5 h, }+ @
                        random life-expectancy-max + 1* [5 t. p3 P6 G9 A+ f( h
              set metabolism  1 + random metabolism-mid
( j  I2 [% |1 v, n, p              set wealth metabolism + random 30
! K6 t  S  q. J3 S              set vision 3 + random max-vision0 ^" k' g+ r7 o. }
                set wealth  wealth + Wealth-inherited-mid]" d. {# C: a1 Q* F# |
            [ set color green 1 v4 w8 E8 o  ^7 s9 {2 p
              set age 0, g) h" w! M$ H
              face one-of neighbors4 0 V9 j8 }( _* f
              set life-expectancy life-expectancy-min +% Z; s# x% e. i; ]7 w$ b+ V
                        random life-expectancy-max  + 2
# y+ t- s4 y# m6 ^              set metabolism 2 + random metabolism-up+ }- o3 ^6 W5 a
              set wealth metabolism + random 302 \0 O1 ~( i8 }; p: t# G/ ^5 Y, K2 v' H
              set vision 3 + random max-vision! `7 Y+ l( C2 @
              set wealth  wealth + Wealth-inherited-up ] ] / A/ l8 Q4 j. s; N/ K

) t. T3 F$ \+ F9 h  Send
) M4 S0 j5 g- }8 D0 zto set-initial-turtle-vars-wealth
* ~  u* x: ?. E let max-wealth max [wealth] of turtles- U& J4 F# X/ B2 m7 h9 w
          set age 03 B" H  K1 a, @. a1 y  Z, x
          face one-of neighbors4 1 I" @/ b; D6 V, m) r4 P: F+ A9 C
          set life-expectancy life-expectancy-min +2 r  E) |9 ~& Y5 w; C8 P: c8 N
                        random life-expectancy-max
0 ~! X* t, F1 ^9 e: }          set metabolism 1 + random metabolism-up
" a; m+ D  D* @          set wealth metabolism + random 30
1 R" @! x# O6 j1 {6 D$ c          set vision 1 + random max-vision
; }5 L9 t: }6 {end
" b0 b2 w2 Z# R1 ]/ _; Tto redistribution4 F! C" ?) f; O3 A" v  M
let max-wealth max [wealth] of turtles
$ E8 \1 }8 _% H. P4 Q# Olet min-wealth min [wealth] of turtles
. E# f5 D- y( G3 V( Q% Xif (wealth <= max-wealth / 3)
" h* V2 L; y* O1 x. H2 J: ] [set wealth  wealth + Low-income-protection ]5 K9 T) p" {9 ?! p0 G/ c; ~: w
end6 G9 M! `+ L, O) m" p; t9 @+ x
          3 {4 ~6 g& _4 U5 T+ s
to recolor-turtles
: R: r! G6 T) ^: {) O5 {1 s' {; t  let max-wealth max [wealth] of turtles
- c! }: O" A3 _+ J( k6 R  ask turtles
% y6 S( U  O% ]8 Z7 T) I   [ ifelse (wealth <= max-wealth / 3)( n* U1 y2 l( ]7 j
        [ set color red ], b2 o8 e' l2 b" e- _- x
        [ ifelse (wealth <= (max-wealth * 2 / 3))8 G* P+ o6 k2 R6 O
            [ set color yellow ]
) N# j  \& N$ V            [ set color green ] ] ]
0 O; X$ B1 @7 K$ I- v. E ask turtles [ifelse show-wealth?% g( Q: k+ M7 e  ^5 ?2 T( i
    [ set label wealth ]( l- X& x. ^0 L9 n
    [ set label "" ]]) I+ Q3 G- H1 C
end
9 T8 A1 _! U* E  w$ _
5 j$ U+ Q# E: j' h" R& A6 c+ H8 ?to go* X5 i2 O% P/ e
  ask turtles
4 t( V3 n, z& J+ @/ Y8 j    [ turn-towards-grain ]  
! \5 p" m0 u* ^- `2 p9 P$ ]( G: E  harvest# h# V6 ~! k. c* s/ X7 Y2 n
  ask turtles
+ G0 h& ]4 l) u$ a* F/ d, _! l    [ move-eat-age-die ]4 U- V& p/ a- H
  recolor-turtles
# {5 V8 P% t" s# Q- d; a  if ticks mod grain-growth-interval = 0; _/ I% x0 y- k
    [ ask patches [ grow-grain ] ]  P6 ]9 C: i6 f, `
   : \% A7 d/ ]8 M" x# c
  if ticks mod 11 = 0
8 m7 l9 O. }1 w0 M* \2 s2 t( k  [ask turtles/ D! |( b* \; x3 a& Y) S" M; A
  [ redistribution ]]- V3 N3 a" i5 J3 b* b4 V
  if ticks mod 5 = 0
! e/ b- S( J7 D+ w   [ask turtles
# d  j6 H  g& W9 d9 [  j  [ visions ]]5 ?+ D' z0 x) i' f) u) Z- `7 X: B
  tick: R  J9 ~5 a4 L$ w' ]1 x
  update-plots8 T1 Z9 g* `0 i' e& s
end
; Q* f) W) N! n1 z* l* P4 X+ ]to visions. Q" |9 f- V+ ^$ ]0 f- g5 h8 C
set vision vision + 1 1 |2 \( ]# Z( F
end
1 A$ }3 ~( q7 f; k& U+ m
* o5 v  O  k/ Y
5 M1 O; P8 l4 s# p& ]! p/ [+ _* \
$ R( c8 B* j4 O" p% D$ H$ |0 }to turn-towards-grain  ' g+ a1 g! r; {2 e- y, ]5 @
  set heading 0. t9 \- L! A2 A. [4 o* G- ~' r
  let best-direction 0* B, s& h4 |- |( X" F# v% r# n- W
  let best-amount grain-ahead$ `2 H# ~+ Y  q- t8 V2 t# t
  set heading 908 ]" p- G& H3 N7 u. @% E2 e
  if (grain-ahead > best-amount)
, F8 j. h: y+ {. _) ?' t    [ set best-direction 90; F9 j' o9 J$ N$ y0 B$ P
      set best-amount grain-ahead ]+ \$ }& ^6 m# ^$ h
  set heading 180" J# e3 o( p- y+ L, j4 h! V
  if (grain-ahead > best-amount)
" e6 S! R" I0 B- P/ E! j    [ set best-direction 180
  e2 F5 y0 p; n# M2 J      set best-amount grain-ahead ]
: h* J+ w7 {5 P$ T3 o  set heading 270
& [" {  s$ @7 b6 b% z; }! V; p  if (grain-ahead > best-amount)
# I: [* ^( }% a% X! N' U6 L    [ set best-direction 270
( `3 _) G3 {9 C; R0 ^2 d6 X/ Y  p/ W      set best-amount grain-ahead ]: S, k2 _, h+ w* x9 q: q8 V
  set heading best-direction
2 b% [4 e# _- M2 h: ~  jend
' @9 u1 j7 ?* o8 y3 y" N+ p# @% e
2 C/ @: T) y; z
  }% `1 m+ }1 a) `& O; C, m4 Eto-report grain-ahead  , w. P# g6 V1 S7 c% |0 k
  let total 0' ]2 b* W% k9 {3 e
  let how-far 15 M' Y. c$ o2 H/ o5 F
  repeat vision
# ]$ L7 ?  z* `. `0 H    [ set total total + [grain-here] of patch-ahead how-far4 D+ C* x9 c3 O& W
      set how-far how-far + 1 ]1 v  V1 ?: o5 L4 j  `
  report total
! v3 g( r7 W6 T: H- w2 W* r! Uend
3 ?/ g5 @# I* R8 v- b1 p. Q; k8 ?  @( m0 k- W/ j, j$ N4 r' m
to grow-grain 9 z" F  S* D9 c" W3 A! `/ k
  if (grain-here < max-grain-here)7 ^& T) o. z! R: M" w
    [ set grain-here grain-here + num-grain-grown- L! j* j* o* t3 Y
      if (grain-here > max-grain-here)   t  b: Z+ t1 i$ W$ \
        [ set grain-here max-grain-here ]
4 p* a' x& S, x  [      recolor-patch ]9 H' ?. Q6 [; J( p
end
0 X5 X. X! {% y- d. [5 j. @! N  G9 {to harvest
+ l+ o4 o- A  }% b6 }  ask turtles
- p/ I: s1 m0 R) o. A" D" o$ Q% W    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]% Z% L4 J, n/ H4 m: w7 Z+ Q
  ask turtles! [' e: R- M; i  m! o9 L. p
    [ set grain-here 0
8 K% X" ^7 C! I7 z; k      recolor-patch ]' }- e) ^/ p0 Y7 x
  
& I" f+ M* g8 i2 H$ b! g* Vend0 }5 X! J. |* J- n; Q* i- b

1 s6 W0 s3 M; nto move-eat-age-die  1 F. ?# ]' g" Y( J
  fd 16 h8 p! ]: w3 \7 D4 U
  set wealth (wealth - metabolism)
/ |+ N$ ]7 T) }" E. o3 g    set age (age + 1)' |8 i7 Z$ s( J9 M+ g; Q2 S2 A- V
  if (age >= life-expectancy)
" W# q2 L* b% w& k2 {: x    [ set-initial-turtle-vars-age ]- V7 f7 p5 ~+ P5 o+ A. d( M/ O
  if (wealth < 0)5 w, _7 I1 ]2 M* C3 P+ r+ d
    [ set-initial-turtle-vars-wealth ]
9 v/ M7 l8 t% j3 u, }    1 A  f7 n: A; A, T% w5 U9 f
end4 A. n9 [0 R' H9 j0 W. |

: E8 g: d$ W& P' t" p
1 _! I5 h5 R. F( A& X( T$ m4 p0 Sto setup-plots
" p+ h& O5 T( I/ X, {/ {) b  set-current-plot "Class Plot"* L8 f2 P! q$ E# `# E
  set-plot-y-range 0 num-people
' v* _, a/ b0 }* N+ y3 d" ~8 I  set-current-plot "Class Histogram"2 [8 W* p! ~* ~5 x# N, z$ n
  set-plot-y-range 0 num-people
$ }( n- `( k( d* Y5 Tend" u' {0 j8 v9 W* s* d. M- d

, i5 c# A) |! xto update-plots7 g2 |, n* j$ P" ^( ~1 p
  update-class-plot1 g# G0 E; K9 U: Z& q
  update-class-histogram6 C: Y! w& K: m. r& j% l& B$ j7 E9 z
  update-lorenz-and-gini-plots, n& Q7 T0 P/ d$ d/ P
end/ V  D* u7 s5 |: L2 ~8 C4 b

+ L% K  R! q  Z( [  q7 ~to update-class-plot
* T4 a' g6 s  V5 ^  set-current-plot "Class Plot"
  A, R/ l. ?: S7 v( M9 o6 w+ c  set-current-plot-pen "low"4 ^7 d9 w$ c; V9 M
  plot count turtles with [color = red]
4 G; T( j8 b3 O$ H# k$ Q# n- E  set-current-plot-pen "mid"
% V0 ~9 a8 W$ o, b+ y  plot count turtles with [color = yellow]
: L9 g. j" H2 M, X" X% C0 ~' w0 j  set-current-plot-pen "up"
$ b$ i0 k- R; C, S, @: J5 N  plot count turtles with [color = green]  V) O$ ]& _+ a) ^" i
end
7 ~+ |5 o6 R( }6 P3 J$ X- C4 h% ?6 j. v7 b0 Q9 C; n
to update-class-histogram
3 L# K$ H5 K! R  a. t0 N  set-current-plot "Class Histogram"% m; A& q0 P, g; B$ |2 v
  plot-pen-reset0 q6 q- W/ V1 e3 x' T
  set-plot-pen-color red. X. I- M9 P# @6 f# D$ x6 {: X/ j
  plot count turtles with [color = red]8 t- u/ ]6 g5 Y
  set-plot-pen-color yellow1 _* x' ~( p; b3 x: j% [2 {. k  I
  plot count turtles with [color = yellow]& J, o4 ^, C& g, `5 y6 d
  set-plot-pen-color green
! W9 s: R, |) `  }+ F- y  plot count turtles with [color = green]
9 o' b( u6 J9 u* W' D7 `end: X8 e! D5 d! `! _( p) v. }- V5 l
to update-lorenz-and-gini-plots! _$ |" ~8 T) H
  set-current-plot "Lorenz Curve": p* ~* ?3 A" W  m! I" v& ]! K
  clear-plot- e$ s7 S9 u- g" G+ H& c3 I

6 u$ U: f- a$ E% |# D) E  set-current-plot-pen "equal"
- E+ C, o: _) q  plot 0* K# o4 G2 ]" ^, X4 n0 `
  plot 100
3 A3 w( i0 S* }$ I9 @$ W. u
" c" k$ U  U' ]# `  set-current-plot-pen "lorenz"  u+ o, P3 Z; I5 Z$ H! C
  set-plot-pen-interval 100 / num-people
; H! ?7 E8 M" w4 M# i0 z  plot 08 [* M6 f* [7 m2 j

) v  y5 d$ z! V3 Z  let sorted-wealths sort [wealth] of turtles7 ^6 P1 O- j& o; `5 }7 b! k$ f
  let total-wealth sum sorted-wealths
# }* v1 m6 Y6 d$ a" b# c6 D# T  let wealth-sum-so-far 0
  A. W& g4 G: N1 i% {2 C  let index 02 p9 f# G5 v0 A1 F
  let gini-index-reserve 03 r: P$ N+ Q3 i6 c

' w4 d+ t: h' ]  repeat num-people [  @  O; y* z0 J; u4 ]6 I7 B
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)% v" d4 ?2 Z. |1 G* b- E
    plot (wealth-sum-so-far / total-wealth) * 100
# L% E. A, t! P! ]3 W    set index (index + 1)
3 r, w. x0 I; g/ m# J; C    set gini-index-reserve
1 X/ M# p3 H5 D% [6 g' y4 u      gini-index-reserve +
2 b& g* N# R: K4 S' I6 c      (index / num-people) -$ h$ A. h) q/ j+ O
      (wealth-sum-so-far / total-wealth)
( i/ _) ^/ R8 W3 e' a$ n  ]" n( K( j1 \" e$ X* x! f1 |3 n
0 ]$ b& |3 o5 l6 `- E8 R  n
  set-current-plot "Gini-Index v. Time"
7 W7 O6 Y: ~' d  plot (gini-index-reserve / num-people) / area-of-equality-triangle
, E( ^; t& X0 z; s- }; F9 Q- tend$ [7 o; E* ]* ]! @, G( b  v
to-report area-of-equality-triangle; ^( l* S  j! b8 @  U8 o  I0 |8 C
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
* z- y% z' Q6 E2 r8 Tend
 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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