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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6 E9 Y1 e& O6 B$ B2 L4 X7 j7 h
globals
3 W2 k. C2 \& r' E$ A$ k& P[
# E6 X7 q, @5 R& i' ?  max-grain      I2 i6 q5 g2 x% c

* g; p# ^, X9 E]
- l2 B5 B; ^  F2 C4 c
, }2 H- I( d. _. V% H9 _; {patches-own# ^/ p4 o" T, n9 D* Z
[
; N* F* T# z, ^: @3 M  z, W  grain-here      3 Q  S$ o& F9 n: \$ z, J
  max-grain-here  4 l* Q* x% y; k8 p
]- b. M, J* A& X0 W& h

! f, ?# ~' z" g: U0 m% C7 kturtles-own
4 _* `, L/ [. B: B% k6 h! v[
( w5 X/ j% c& \+ P2 Z. H  age              
/ z9 A! ^9 `+ Y! k* Z- l" C" \  wealth         
! X7 [  y- ~. F9 l  \  life-expectancy  ' D* K% _4 \0 R( y
  metabolism       ) @3 m# b+ b6 k
  vision4 ]3 r/ l# v, A; q+ l$ o( I- T( a* x
  inherited         ; d% s" j/ F6 O7 b
]
" Y& r, n$ `2 a# E  g- E& b9 C. Y* Y
+ k/ m+ v2 ?3 ~- W6 n+ t
to setup: E6 q7 \8 z) Y  \, G5 o& m  x. P
  ca' Z0 m+ M8 G- K' G5 U, @
  set max-grain 50
9 {8 u' [1 W* B' P2 x$ L) n  setup-patches9 R/ f# ~! I: S& ?* ]! I& B
  setup-turtles
4 L4 G$ @& |* ^/ G9 N5 x6 ]" `% ~! h  setup-plots
1 v8 W0 z; O/ }  s- ~; C9 S  update-plots
5 `; q  z0 m3 x4 D8 z/ W' T/ Qend
4 I4 K: K+ s& L2 j( M% K5 ]* Fto setup-patches
4 i7 M9 `+ `& Z+ j  ask patches; p% a  j4 u, N9 [0 h6 W* T5 [. S" L
    [ set max-grain-here 0
3 H! k7 D/ r# v: T0 c5 b3 F6 N      if (random-float 100.0) <= percent-best-land  `) S, ]2 I. D( U5 C7 C
        [ set max-grain-here max-grain+ M; i) `4 f2 i
          set grain-here max-grain-here ] ]9 j- Q+ x1 J6 \& k' h+ i  O
  repeat 53 T9 C0 p) z6 t. e# N' ^0 N1 @5 R
    [ ask patches with [max-grain-here != 0]3 |- X: C' Y; q& o4 f3 x+ p* `
        [ set grain-here max-grain-here ]/ f6 g' D# \6 }9 i( y- s/ G
      diffuse grain-here 0.5 ]
- x  K' k, \. U' Y& c4 H  repeat 10
/ N% z, w/ O4 l    [ diffuse grain-here 0.5]          ! Q. {) H0 C+ @5 B
  ask patches
* T) p# g( u, W# E* ~2 F    [ set grain-here floor grain-here   
& Y# n! V7 j1 n3 q% h; u      set max-grain-here grain-here        e& b( K7 w- Y" Y! G: E# f
      recolor-patch ]
! M) T0 ^; G$ m: J) ?5 Lend" h7 U- F9 I* M/ B0 W9 O
to recolor-patch  ' `$ d9 q, K& a
  set pcolor scale-color sky grain-here 0 max-grain+ j+ r4 v2 I7 R" f  p
end: f- n0 ]; P4 u% `! ~
to setup-turtles* j' f# s! e8 d! k- r2 s
  set-default-shape turtles "person"
* V/ |4 k. \/ X& O2 o' J1 H; l  crt num-people
" ]4 n! p3 F- @  Z2 f- U, p" N    [ move-to one-of patches  ; f4 d+ h$ J- S. ?) q. K, ]7 C
      set size 1.5  
0 t5 p7 a$ w. V) t, r2 Y      set-initial-turtle-vars-age1 {5 X7 v( o' `6 M
      set-initial-turtle-vars-wealth6 W. {* B5 [8 q$ {0 m
      set age random life-expectancy ]- Y& t+ B) f- f5 h9 T1 R
  recolor-turtles
" F. t, F  _& C  Uend7 s2 @/ }3 u. H, |' Y' [
, |! ?- V0 r+ i
to set-initial-turtle-vars-age* G6 u; u4 L, G6 [: i8 t3 C
let max-wealth max [wealth] of turtles
+ f/ s" X/ r7 M      @2 [- Y( x$ ^9 y1 X
     ifelse (wealth <= max-wealth / 3)
: O. ]+ r7 S  K/ c  }# Z7 m        [ set color red
$ Z& J2 U4 [4 u8 {) E& R          set age 0
0 q; F/ P2 ?) J3 X% Q          face one-of neighbors4
+ A! e& a0 Q/ r' H+ q" h1 \5 k          set life-expectancy life-expectancy-min +
# r/ p8 Y! z" `; Z: c# w) o% u" ?$ s                        random life-expectancy-max & g$ x6 o, g* Q% `5 e
          set metabolism random 1 + metabolism-low
% q0 s' r/ _, k+ Q' ~$ ?          set wealth metabolism + random 30
' M/ `: V6 [, W: _- `3 F          set vision 1 + random max-vision8 N0 \6 I9 D: P4 w; X- u
             set wealth  wealth +  Wealth-inherited-low ]4 L& P: e- x; A+ r" B2 {
        [ ifelse (wealth <= (max-wealth * 2 / 3))& l& G% I* e' L* _$ e/ g' k
            [ set color yellow
# a9 p! t1 A2 X6 d/ d              set age 0
0 K$ \; S1 w2 _: h4 ?8 o" Y              face one-of neighbors4
! M- b& f% g% z) X: b6 a* k% r              set life-expectancy life-expectancy-min +
3 _0 d: l/ W' u1 s4 R8 z3 b                        random life-expectancy-max + 1
7 d% ?' B0 V. L1 s$ U" ^/ r# h              set metabolism  1 + random metabolism-mid' ]/ }* \) p& n/ v7 L$ e/ F
              set wealth metabolism + random 30
. x, Y7 \  a9 N8 d! h9 e+ G3 A              set vision 3 + random max-vision
) _9 P" I) t8 Z* \8 j& G7 B                set wealth  wealth + Wealth-inherited-mid]
& y- T# x. w) k- R: b2 ]* d            [ set color green
# G6 u# p8 e6 B  G: m              set age 0
+ a) T+ t: h) H, ?- T; ?  E6 n              face one-of neighbors4 , j# y* y! x/ @
              set life-expectancy life-expectancy-min +$ x/ }0 D+ M/ k  x6 ?+ P
                        random life-expectancy-max  + 2
4 ?9 p; v2 J) q5 `1 t/ k              set metabolism 2 + random metabolism-up
/ _/ A, q3 o" K+ Y) |, O              set wealth metabolism + random 30
/ J9 S; }. H6 Z2 w: _: |% x7 t              set vision 3 + random max-vision
1 \: s5 R7 \4 `              set wealth  wealth + Wealth-inherited-up ] ] 6 r! B) v$ J* u/ @
' E& Q4 K$ N4 y; S3 ^
end
2 ~/ {. J) z! Fto set-initial-turtle-vars-wealth
# m' H) C' l9 j5 n$ a7 u let max-wealth max [wealth] of turtles1 W9 n2 d7 y7 p9 l
          set age 0" J5 w2 o$ z* d
          face one-of neighbors4 ) L% y; Q  d) _4 l' v0 @
          set life-expectancy life-expectancy-min +- {( n- J7 [5 x* P" x. F
                        random life-expectancy-max
* @. Q: w9 B$ ~0 H* d( L) e. L          set metabolism 1 + random metabolism-up) T7 E  _' U# k
          set wealth metabolism + random 30
9 R; O. Z0 z' g          set vision 1 + random max-vision
* a& p9 t. `! m4 wend9 S  ^4 e# Y$ j: P# h- ~0 G
to redistribution
! N; e( u- F4 d9 O  \1 Z6 Alet max-wealth max [wealth] of turtles
3 U7 |+ \. Z3 q$ q8 glet min-wealth min [wealth] of turtles+ |+ t& j% m1 y' v/ F, ]: p
if (wealth <= max-wealth / 3)/ e9 ?5 R, I* \( o. ?
[set wealth  wealth + Low-income-protection ]7 q* {  x- Q: e+ Z. K
end+ x# k* K* Y' ]: r5 ]' R' W1 n9 y5 w$ i
         
% Z' D' w  q  _0 D' U) oto recolor-turtles) C% k8 X+ g4 L! r
  let max-wealth max [wealth] of turtles
# ?( `' a3 B3 m: h  ask turtles5 j7 a( b* a9 x$ j: C) J
   [ ifelse (wealth <= max-wealth / 3)6 j; A6 ^- Y$ z7 I% ~0 z2 A
        [ set color red ]
- m! t1 }- \9 p$ J8 d5 y, ~2 A4 v2 }        [ ifelse (wealth <= (max-wealth * 2 / 3))
" x1 W" E$ `& g0 ]% F& e# k            [ set color yellow ]2 U) p5 h, l. x# u7 n
            [ set color green ] ] ]- E1 |1 A, Z  ~# |
ask turtles [ifelse show-wealth?. s# r% R. n% O- m; Y( }7 H% |
    [ set label wealth ]' C) n7 W& P( E" a
    [ set label "" ]]
; e( ^" |, H9 qend! r" N* ~8 R6 H
) u9 B6 M; b' P/ B' ]! F7 b, d/ O, i
to go
; f1 d) t6 D9 I( V' s: c6 {  ask turtles
, T1 g' K6 C: p3 c    [ turn-towards-grain ]  0 S; g( ?0 z4 o& k
  harvest
0 r, Y6 v; b; ?. Z) S. }0 f  ask turtles
5 \/ i" X8 i8 k2 B! A    [ move-eat-age-die ]" [) R6 o( C! b
  recolor-turtles
0 V( ^+ L$ d9 l4 x3 o) @% C% I  if ticks mod grain-growth-interval = 01 D4 g, A3 U1 I
    [ ask patches [ grow-grain ] ]
6 s' }& q- ?7 ~; O: j# r- X   ) e1 P; F# K; _3 c
  if ticks mod 11 = 0- B! O7 w4 c" A- t7 |' v" x: }
  [ask turtles
  N# [4 B0 M/ Y( N' O  [ redistribution ]]  B- z. x- n# x0 @; A) X8 d& P
  if ticks mod 5 = 0% A1 q# w5 y, w. W( P! [2 ]
   [ask turtles
3 U# ?! B0 n* C: W; f6 L. q% D  [ visions ]]. G* F( e) }4 [' p. F& }
  tick
( f7 ]/ h9 Z+ }+ ~2 c0 d2 G  update-plots: |$ ]6 C- U+ U7 c
end
9 `* B2 M) b  X) v" s: n. xto visions
1 v! F) ~; h/ C8 w set vision vision + 1 8 P8 p( U3 v; R
end
- L. V7 K  \; Z9 _3 m0 v' y# S" `  m  v
- M0 b) V& F+ E8 v2 `; ]* x8 i
( V2 D4 l/ f" B$ W4 F9 `% {
to turn-towards-grain  
# u1 E/ y. U; d$ h3 g! c' r- e  set heading 0& u" m/ e/ f- L: X7 H  G+ H0 i; B
  let best-direction 0
' |! f; ?5 _0 L. H  let best-amount grain-ahead$ C" A9 {% I9 c& s# d; ^/ _' Z
  set heading 90
3 n7 L- E* j6 v3 }& {* ~  if (grain-ahead > best-amount)- r& s6 A% e7 b9 D
    [ set best-direction 90! ?* k5 f. W0 s& W) J
      set best-amount grain-ahead ]
! o! ~# x$ O2 u, n8 \8 O  set heading 180. f* u4 R6 t1 |+ Q2 b; _
  if (grain-ahead > best-amount)7 M  R" p: D7 J2 O4 I! a- Q
    [ set best-direction 180
4 {* R/ ]& t: d6 F6 c/ }      set best-amount grain-ahead ]2 M) Q, e2 K) I/ R
  set heading 270% A) P, w' U& X, h- I; x
  if (grain-ahead > best-amount)) J. f/ }# v, Z% ?
    [ set best-direction 270- m/ j/ j. O. `& O
      set best-amount grain-ahead ]2 k) d  }' ~0 F9 J( [0 n
  set heading best-direction
. O1 B4 y1 _1 W/ ]* p2 V6 X5 i( O( Dend
+ d* E. F# c: R$ ~! X
/ [  v; s0 m+ o  d( ^' N$ P: H; H4 H( T; [5 u+ c1 @
to-report grain-ahead  ) |/ `* s( F$ u
  let total 0) x& |# P( y  k5 e6 L
  let how-far 1
0 n' A1 U3 z& _1 [" i/ R  repeat vision
* O7 g# q2 i. ]8 W    [ set total total + [grain-here] of patch-ahead how-far) l+ ^2 J: U6 H& A% @9 d7 y
      set how-far how-far + 1 ]5 K' i; S$ s: z- V; K& {
  report total
4 m6 m$ R- q9 i( Zend# M) i1 f7 r9 j- j2 J" n/ |

  Q! ~0 D* p0 u$ S0 x: o: cto grow-grain
) l, A+ w- s% i$ C  if (grain-here < max-grain-here)
( s  W* U0 h3 t3 ]) Z3 O& m    [ set grain-here grain-here + num-grain-grown
9 C1 G( o1 ]9 L; Y' P& ~- Z      if (grain-here > max-grain-here) ' t5 x/ B8 W  H8 ^) S" W6 g
        [ set grain-here max-grain-here ]7 j; a' @' L* H5 \7 E# N
      recolor-patch ]4 o3 G# M5 }) Y  Q5 f1 Y6 t
end
* z$ A6 v- x) zto harvest
- J% I; C! `- O9 J# m. O  ask turtles7 ^( L( K) c0 H8 A4 O' J5 C
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]0 h2 ?- I9 B$ ~  x7 }2 o
  ask turtles
$ s& ~5 r1 A/ k& d$ k1 P    [ set grain-here 0% {: [, j# C% {6 d7 [: }/ G! {
      recolor-patch ]$ i& z2 S) U/ q* A0 v' ^- \: K
  
/ M% K0 }* @2 J) t6 uend# l$ ^( {1 Q* b0 L9 z! a
/ R$ `+ d: q- N, |; V
to move-eat-age-die  
$ u: [4 g+ b. T" w  fd 1
9 Q' y" t& d/ r- e* R1 S  set wealth (wealth - metabolism)
( P9 H" q; \" X0 B) Z( U    set age (age + 1)0 ~' A" [+ r6 o
  if (age >= life-expectancy)- H9 T+ m- c: L8 j
    [ set-initial-turtle-vars-age ]2 ~/ B7 J8 y9 t4 p8 v8 Z, x
  if (wealth < 0)! Z, C+ f$ C9 Y
    [ set-initial-turtle-vars-wealth ]
4 m8 x/ E4 a( _- B3 j0 j   
, t9 ^# ^3 l1 B  B/ R5 Zend  Z  ~; }* S4 h' y

9 P7 V5 J. Q$ X1 H& D" ?0 u3 M7 V4 r# n+ C. |( a  a& {( w
to setup-plots
* m$ m8 A3 `/ W: M  set-current-plot "Class Plot"
; R% S+ i; P+ O& {  f- O  set-plot-y-range 0 num-people- ~- l2 Q- F$ D: `. Z$ h7 |, T
  set-current-plot "Class Histogram"
: m+ J8 X6 ~+ A+ N6 T" B  set-plot-y-range 0 num-people
* r$ ?% P$ S" m$ Cend
) X3 p( j) P4 t, s
  e% g$ G, o; {0 J$ W: v2 _to update-plots, l" Y7 Q6 m5 l
  update-class-plot
4 ?" A( a# K& l; j  update-class-histogram
. Y+ s' [$ `9 y6 t# W" g2 Q  update-lorenz-and-gini-plots' p" j0 J: Y7 w  Z+ s& T2 ]) E' ]- d
end
% c* j  f) I9 F) O, M9 r" `" N, y& y7 H% E( a+ G; z. W
to update-class-plot4 T- n# ]: h1 }. s
  set-current-plot "Class Plot"4 v; z3 V4 i- o$ U, c) f' A1 M
  set-current-plot-pen "low"2 b3 B7 B+ X* [2 k( D" h( |
  plot count turtles with [color = red]  B; l7 Z; B: Q0 w# Q
  set-current-plot-pen "mid"
9 H. P7 X4 Q0 R3 \7 p: ]- A  plot count turtles with [color = yellow]
* x7 h& T& m: c: c, F  set-current-plot-pen "up"
* h. W3 b$ R+ @* F, z3 |  plot count turtles with [color = green]
6 W0 |" V6 r9 G! oend
$ z9 Y% h; I/ F! [# a0 T# `" F/ e8 S6 h# W$ \. z
to update-class-histogram
' g" \! `# m- ?, H  set-current-plot "Class Histogram". Q3 X: j. i/ _5 o* Y3 M1 @, Y
  plot-pen-reset
# t; ~3 Q, A( x  set-plot-pen-color red
* g6 y# o9 B. I' ]5 O" W$ Q  plot count turtles with [color = red]- A$ K' i7 J+ t% v  G4 q# r5 G. W
  set-plot-pen-color yellow# `( X8 b" l1 S0 V' v! m' c
  plot count turtles with [color = yellow]; d+ Z4 j: {7 k' u5 S! f2 B0 g
  set-plot-pen-color green
/ s% k; Q3 @, n: u8 [) Z( d  plot count turtles with [color = green]
8 Q$ C0 {+ n& q2 q3 Yend1 Z+ u/ X/ c4 [, T  ^  X
to update-lorenz-and-gini-plots; K% E. e) Z% [
  set-current-plot "Lorenz Curve"
1 u, w# I3 M% ?# |! D  clear-plot
9 f6 i+ a% A1 t2 Z$ U, N8 H! W. W0 f2 E3 o" r2 \( v
  set-current-plot-pen "equal"
( _( _. R- m' m+ g9 `7 q  plot 0
7 W$ Z+ Z! ?5 _  z  plot 100
2 e4 `" F) i$ o8 i( x7 \0 F' K* t( H/ p! `& V
  set-current-plot-pen "lorenz"
+ t5 D  ~3 \/ Q3 D2 J2 a; n$ W  set-plot-pen-interval 100 / num-people' {) G: Q3 u- {% ]
  plot 0
' c9 x8 ^1 f; }/ e% N: s& y- {
& D# u# p6 n7 L: c$ D+ Y6 Q  let sorted-wealths sort [wealth] of turtles
! f3 t$ R! h+ _% y( D% T5 K  let total-wealth sum sorted-wealths) k( G) ]0 k: T
  let wealth-sum-so-far 0
4 W& Y! W9 t7 s) Q  let index 00 |. @: |+ O/ q! s) ~
  let gini-index-reserve 0& f9 @5 g# ~0 i2 t# b; k

: ?! o1 k' e9 X8 h  repeat num-people [
, ^6 _+ u: q- P  n. t    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
* ^1 a1 y2 v. X) x" L& i- `2 h: h    plot (wealth-sum-so-far / total-wealth) * 100. x1 g& V# r7 U/ |, O
    set index (index + 1)3 K1 n+ ]8 y( l8 e& J
    set gini-index-reserve" ?& V6 Z, j& X" H% U
      gini-index-reserve +. q3 ]: Q5 g* l# F% @. e- |" W9 O
      (index / num-people) -2 I/ `+ H9 V5 ~4 n" \8 ~& r8 [0 s
      (wealth-sum-so-far / total-wealth)
* ]' E: F' {) ?+ N3 v  ]6 H( x& w( G7 D" K8 u5 R
4 G) U& m/ ^4 r1 B3 U
  set-current-plot "Gini-Index v. Time". l/ g, U, |2 ^' z. k3 k# p2 Z
  plot (gini-index-reserve / num-people) / area-of-equality-triangle' k8 R+ }. ^6 X7 k
end  F6 p6 M  r" G6 |$ B+ Z. c
to-report area-of-equality-triangle! Q$ G; t+ P/ X
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
. ~: T8 P' y: I0 Aend
 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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