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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- o; Q  Y* P; l
globals$ n& E+ {- X) F6 f) z# j
[# d! W0 G3 U6 T6 p8 }: `
  max-grain    1 Y; ?3 @& Y7 f5 D/ B

. l8 l. F" Z1 y: u& x]
- [# x7 }. j. m# O% C+ O
9 C6 `0 s* x3 l  u2 Xpatches-own
& }, ^* O7 `/ B6 w) t9 n2 b[( w: ~/ J7 }4 q; z: p6 [. w
  grain-here      
' r  \8 Z3 M! ~/ |  max-grain-here  8 W( }- \3 x9 m% k
]: M0 M4 A" k7 u& B9 z" d5 _
/ [! a5 ~9 n/ v. J6 G' o
turtles-own
! b3 S: V5 I# b/ `[
8 ]. x( C! g4 e  age              5 a* f: m7 ?, C5 F& _
  wealth         
3 F& J( u2 i6 |6 z7 P$ h% i4 x  life-expectancy  8 g/ A2 M" B, F1 `
  metabolism       1 E$ f& c: \* _, }( z+ v
  vision% |1 d/ w* g  t! d  O, }8 _' c
  inherited         % @( P+ f2 o3 Z  u) Q: k; N
]
5 b' [5 G& C1 _& i2 x
: g. P5 O/ @- o; c% U' M% q  b1 F* c6 Q# Y  h( A3 r% K4 Y
to setup  x2 g  k& V2 |. g( q; Z
  ca# \, I' y- n1 g3 R& q
  set max-grain 50
+ L8 U7 j" ~0 @0 v  setup-patches7 k; N& X. y6 h2 c  Z% c
  setup-turtles
; C9 O2 F9 x2 k6 ~6 M+ g" p5 o  setup-plots  o" W5 i' B/ E! @! O
  update-plots6 Y4 j0 D: N5 h& J, ^: d* V+ ^- |8 W
end8 ]7 w# @0 o( [% j8 V
to setup-patches
+ H' J+ a, C! X  ask patches6 z$ k4 S2 y# x) H2 E1 [5 T1 h
    [ set max-grain-here 0
1 E! y4 o- x) ]: I6 a( v1 x      if (random-float 100.0) <= percent-best-land
, U+ O' b8 T$ q        [ set max-grain-here max-grain; u1 \: ~0 M$ [3 r0 t* u4 \( B# ]
          set grain-here max-grain-here ] ]
8 e% k0 |  C+ d7 I' U. F' ]  repeat 5
" B" G! M. V; d/ _9 @    [ ask patches with [max-grain-here != 0]: S1 U7 e- a. x; h
        [ set grain-here max-grain-here ]; H  k3 n3 [8 H' @( u
      diffuse grain-here 0.5 ]4 M/ j2 W% a) v
  repeat 107 G7 |$ g8 t  ?5 b+ y! }1 H+ L5 c4 r
    [ diffuse grain-here 0.5]         
- M0 E, e8 H: z2 T9 Q  ask patches
* p, W1 {$ A5 D& {4 u    [ set grain-here floor grain-here    : q4 K& m' _' w3 c* K, L
      set max-grain-here grain-here      
0 e* w/ Y) z: ~, K+ h3 N      recolor-patch ]2 @6 v1 }) i) j) M& x
end
  J7 @! z; l2 G5 y' f8 Y$ mto recolor-patch  
7 w9 d1 [8 h5 |: z  Y! a1 w  set pcolor scale-color sky grain-here 0 max-grain* r3 @. \, j" @6 Y. F" g6 Z
end6 l( O. t; b2 i# a9 l' h
to setup-turtles
  r/ S7 t9 |" n% {. H  set-default-shape turtles "person"% G. P; X0 P1 R# j, |
  crt num-people
: b& s- C0 V) {; }: [    [ move-to one-of patches  
* T. }) j8 b, x  \4 l      set size 1.5  
" o! @9 f+ R$ `* T4 D8 n/ n: J      set-initial-turtle-vars-age" _  ?4 e" Q3 h/ l. G
      set-initial-turtle-vars-wealth* G. L. Z$ v/ F6 G
      set age random life-expectancy ]9 R2 S  S7 W6 j8 N' e5 H
  recolor-turtles
1 o' a" I4 y4 ~+ A  }3 u. y) pend- W/ G" }, p) e6 Y! c

+ S! a5 [' E/ N1 X, U; ^7 bto set-initial-turtle-vars-age
# `. b6 r7 a& J* l let max-wealth max [wealth] of turtles
$ W' _' y5 Z: F$ L( E. q   
5 R+ d" z% L' |     ifelse (wealth <= max-wealth / 3); i; D/ u* [* ?
        [ set color red : k+ }% h3 ~4 ?$ L# o9 D
          set age 07 r" n" ?2 N" h0 I( \/ R
          face one-of neighbors4
' v( B5 `: i) H7 o& R0 l: J          set life-expectancy life-expectancy-min +) ]* O3 Z  y0 S) _! C. ]
                        random life-expectancy-max   u- ~5 D9 r. L
          set metabolism random 1 + metabolism-low, i6 M; O1 O* F4 k5 t0 {
          set wealth metabolism + random 30
# `+ O4 _/ R  s) ?: l6 R          set vision 1 + random max-vision- X. Q: p, Q( W& B2 E* P: r
             set wealth  wealth +  Wealth-inherited-low ]
) @9 H! b5 |4 L$ W$ ]0 y; p; H7 H        [ ifelse (wealth <= (max-wealth * 2 / 3))1 x! v, _/ Y) Q8 m! f5 [3 }) V
            [ set color yellow
% C9 e" B' X) `/ ^# L7 }# |7 j              set age 01 s% F0 X1 x4 D/ e8 Q, i6 q5 A$ X. }
              face one-of neighbors4
. S; j" Z" l5 p& p% ^0 D              set life-expectancy life-expectancy-min +
$ |0 j4 a: H4 i; W* u9 S( `                        random life-expectancy-max + 12 R; B# P+ x' i: L8 k
              set metabolism  1 + random metabolism-mid% v2 [  v- e; v8 n, v  n$ B! z
              set wealth metabolism + random 30, G& g7 O  q' v0 ?
              set vision 3 + random max-vision- f; f7 v2 H& a- w: [1 Y
                set wealth  wealth + Wealth-inherited-mid]. c6 X9 |8 `2 z6 r# n
            [ set color green " y. D8 b8 h- W- q* g
              set age 0& }2 B5 A; @/ {( L9 j4 O9 a# m
              face one-of neighbors4 $ P8 B4 R  P% o& M2 h# u3 n
              set life-expectancy life-expectancy-min +
6 h9 p7 `( @. h" U8 G8 T                        random life-expectancy-max  + 2. Z) V0 K0 G# B2 u$ e
              set metabolism 2 + random metabolism-up. a& M3 P* l$ q8 G4 R" m4 j
              set wealth metabolism + random 30
" I* d+ s8 w2 W; i5 y# f              set vision 3 + random max-vision; a- R, J0 l6 ]4 R+ {, `! d; v
              set wealth  wealth + Wealth-inherited-up ] ]
% @+ L% ?5 r$ M  j7 |7 [ ! q8 I  S& Z; d
end
; O9 j, H1 y" d, H; y4 k6 sto set-initial-turtle-vars-wealth
9 a+ O, I: \/ C( J3 _! a3 d! o let max-wealth max [wealth] of turtles3 T4 _- o  ]) V7 r" \5 L' V( d: r0 h
          set age 0
: W! U1 s: T7 m6 b- m2 \. L          face one-of neighbors4 8 j& s$ u# d5 q
          set life-expectancy life-expectancy-min +
. }3 Q7 \+ J- ~1 X: P. @                        random life-expectancy-max 5 e# E/ T; d3 t1 a1 T# t
          set metabolism 1 + random metabolism-up
& Z# ]' |, M! E" {9 {0 k          set wealth metabolism + random 307 b0 h3 @& m; I& Y9 Y; H/ y( f+ A
          set vision 1 + random max-vision
- W: _+ d+ p3 e; K$ S5 h0 m  iend- C7 I! a; v. E5 k: L
to redistribution
3 N) R1 w/ W& a5 w5 N( p) m* ]; olet max-wealth max [wealth] of turtles4 x. }/ h" d+ G) B0 b" T
let min-wealth min [wealth] of turtles7 w/ {+ |+ P3 Z3 v2 F
if (wealth <= max-wealth / 3)
% e; r+ d( S% ~ [set wealth  wealth + Low-income-protection ]# I- B. @# `0 y
end
( V. b, J6 L/ l$ K5 b- F         
/ G: U$ M: |. B0 Y2 F  ?; j$ i2 @to recolor-turtles' t* r# `! B" v* G. e
  let max-wealth max [wealth] of turtles
. n- L( W. j2 o% s# E  ask turtles3 n+ }2 V% m, ]" a2 t
   [ ifelse (wealth <= max-wealth / 3)" B9 x3 s5 _6 B4 G: H
        [ set color red ]+ m9 ]' S. T. N6 N7 B; O
        [ ifelse (wealth <= (max-wealth * 2 / 3))
1 T; t8 |- R/ G, t9 `6 D, Y            [ set color yellow ]' n$ P  T) c7 R* ]( W+ R' u
            [ set color green ] ] ], H$ v7 j, R7 y+ S: w
ask turtles [ifelse show-wealth?3 G+ V. Y3 A3 r3 w$ C3 ~" \: y/ D
    [ set label wealth ]$ _* G% M" k! x& Y
    [ set label "" ]]
7 I5 s. [5 W+ D$ _, Zend# X/ j+ y9 d+ ^! k

+ @9 m& Z8 q& eto go
9 [% n  J- W7 E! o  ask turtles; w+ S& k! h. D! T' G
    [ turn-towards-grain ]  9 r! y* z  I+ h( |" I6 w* Y
  harvest
* z3 t; k: P7 y  ask turtles
0 `6 _1 _! ~6 S; N) Y& C    [ move-eat-age-die ]
. W* j# P# @  d# k8 ?4 ]4 {  recolor-turtles
: u4 v! t5 v; A  if ticks mod grain-growth-interval = 0
! A7 U1 N+ ]+ S  x; o    [ ask patches [ grow-grain ] ]1 D' q( h: |( X
   2 f% R2 R7 d, G$ B; X+ ~
  if ticks mod 11 = 0
/ c8 G( A" {7 b$ f/ |  [ask turtles
: b+ H6 U  I/ J: L+ _/ h  [ redistribution ]]
) p) u7 L0 X5 K) V  if ticks mod 5 = 0" M9 ~4 v4 t4 v( S4 T% `+ z5 k& Q
   [ask turtles( n( y3 A7 F6 v& b$ ?4 G
  [ visions ]]
2 P, ]2 k) ?  g4 ?0 \  tick5 q/ n& S% p3 o4 J, v! B
  update-plots
4 I/ p- w4 V+ u$ u( R9 bend- E) D2 o, I) a# P( N: s; K
to visions
+ t. u: h1 v7 Z6 X/ J set vision vision + 1
6 ]2 a& W: J$ X7 n' P- fend' l0 j. a/ e& H/ B. `* r
6 o9 q% g; b( q/ C( {# C, @

7 [5 ~! Y$ r/ ]+ C1 E- e) `$ R# u  r1 W" h' t2 ^3 X
to turn-towards-grain  " u. G$ N; A! k9 O! Q2 a1 O
  set heading 0
! U$ B! M6 d9 t3 D) l  let best-direction 0/ W8 Y! c, O7 y' \
  let best-amount grain-ahead9 K: P4 O1 p4 k
  set heading 90
- l6 h" D/ ?" ]1 A  if (grain-ahead > best-amount)
* `" q5 A8 }# c2 {    [ set best-direction 90
/ q5 n6 s/ U& q: v$ K: Y( G      set best-amount grain-ahead ]$ x. a! y+ P. V7 l; h: t& D4 f
  set heading 180
1 ]6 O5 n$ j$ o' [  if (grain-ahead > best-amount)1 y/ r& W9 }) }6 a" q5 l
    [ set best-direction 1805 w# Y& ~4 g4 p/ P
      set best-amount grain-ahead ]
1 C" v" b! q9 l) j; Q& v  set heading 270
9 U( q7 N2 G. p8 `, F7 U  if (grain-ahead > best-amount)/ t# ]/ J. q7 o* X. x
    [ set best-direction 270
* m' O5 v$ D/ |! l  e3 ?      set best-amount grain-ahead ]
1 J" Y  m' p7 ?6 H  set heading best-direction
# V8 _  v" q. o) Zend+ m' B% g& B! M8 g  Z

+ H- q  e% {: K& t6 ^) B# P. h8 X
# [0 i1 z( s  |( R$ Uto-report grain-ahead  $ B; A  T* B5 L, h
  let total 0
$ x5 c" D4 Y( E/ {" y2 O  let how-far 1
- |! g' _1 [" H/ A- C, h0 c% W0 ]  repeat vision
; F, c" V- V6 d4 s8 w    [ set total total + [grain-here] of patch-ahead how-far
' F: S  T$ o; z6 G/ x, z' J      set how-far how-far + 1 ]& s) I! R: A$ S$ P9 p4 m
  report total9 J4 y7 k% {4 {  P
end
$ f% ^5 B1 e/ r1 `; O* i
8 E- W) `9 H, X( j5 n6 L, b' y6 F% Hto grow-grain
! B$ c) [' K1 l! H% ~  if (grain-here < max-grain-here)
0 m+ [. n2 t3 B    [ set grain-here grain-here + num-grain-grown
" W" b+ |5 Y1 _. y: E+ |% h! ]/ @- M      if (grain-here > max-grain-here)
; Q$ a" _) N  i4 V* B% z1 V        [ set grain-here max-grain-here ]  h6 S/ F' O. [/ A5 x% z, W
      recolor-patch ]& U" s  l0 x. b. w5 G
end
' m1 V1 Z  a% K# d+ n4 uto harvest4 x5 L! F! S6 u0 z* a! }/ q
  ask turtles
# ^; v+ W8 x1 I1 e( X    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
$ s1 _( l' F, Q) {2 i* r: P/ j  ask turtles
. W; l* B% S9 H! u    [ set grain-here 0  Z) _, [: W, g; a3 u* a4 {  n  }+ m
      recolor-patch ]2 _. X  w. T! z) }7 G  E
    M6 l  v6 a  ]+ _
end
% S: v1 [4 P( k3 ?0 d& q, r! _: k9 F3 g7 x! a: m+ m9 P4 j, q
to move-eat-age-die  / i6 l0 D% [$ o
  fd 1  p' f5 K) y! g
  set wealth (wealth - metabolism)2 r# n% v7 A1 d  D6 p. d, I! H2 F
    set age (age + 1)6 \* T1 w: s; O9 ?
  if (age >= life-expectancy)
  I8 X; q! ^- m+ T. U2 q    [ set-initial-turtle-vars-age ]9 {" B+ n9 w" L/ s- {
  if (wealth < 0)- z3 Z/ L% \# {  V+ {2 r
    [ set-initial-turtle-vars-wealth ]
* z1 ]4 Y) o6 W0 v+ Y8 Q- B+ W    # z2 \( M' v6 P
end
& Y4 W3 Y) Y" d* q- l% s& ^
# d$ h# f% Z4 ]+ \" }) k" c1 [( z  F6 I  R' a; e
to setup-plots
" B0 e6 Z; z9 @8 S0 G  set-current-plot "Class Plot"
+ m" j& k, m/ `6 X  set-plot-y-range 0 num-people
8 |2 C3 k, ?* L  set-current-plot "Class Histogram"( u. L: m. G3 B9 X! Y2 _- H# L2 h
  set-plot-y-range 0 num-people
) b3 `6 O" X: S+ ?7 J/ y" ]; Qend; {6 L2 G% ?. Q
& [$ D) ]0 u% k% c: s
to update-plots3 \5 z1 Q2 J1 C% r
  update-class-plot
- O! h$ E. v+ [8 ]  update-class-histogram
2 f& Q1 g2 j4 H  c' Z  y  update-lorenz-and-gini-plots8 A4 ~2 t6 A4 p! @0 m6 w
end
; J3 Z) \  G: w: }+ I4 |! `& k. N: m4 @) p
to update-class-plot3 m6 N& [- d, J' y6 x9 I* G
  set-current-plot "Class Plot"
' r5 O, f! T+ }) h  _6 N  set-current-plot-pen "low"- }/ @* H3 R2 a; f6 q
  plot count turtles with [color = red]
1 |: s' G0 W, L3 c- ~7 d+ g  set-current-plot-pen "mid"
" }% ~3 D, K2 H  y. l' {  plot count turtles with [color = yellow]
; [4 Q; j1 B; e  set-current-plot-pen "up"4 t$ Q. u% h2 v5 W; b9 \
  plot count turtles with [color = green]; r: ], H# _, L! p7 l  Y9 p
end4 |' {0 d7 }2 s4 K5 L: w2 `% d

, r: w* G+ ~6 N: m' kto update-class-histogram
$ v6 |5 Y( b% y- P; z  set-current-plot "Class Histogram": P- t& @! R9 m
  plot-pen-reset1 k  d$ D" w7 y0 b9 L. m- e
  set-plot-pen-color red
0 t; g& U, X9 ?6 Z1 [  plot count turtles with [color = red]: l+ N- u+ v% X: Q: q" {
  set-plot-pen-color yellow
8 w* J0 {: b' g9 _" e, R% x* V  plot count turtles with [color = yellow]
$ q& d4 c' C; H% J6 X7 C  set-plot-pen-color green
, E- v- b1 D& ~5 K/ @) `+ s- o  plot count turtles with [color = green]
8 U' N* a6 X. y. n: Lend" M- w; i, x- v9 r! K
to update-lorenz-and-gini-plots$ p/ t+ Y( o4 o& t
  set-current-plot "Lorenz Curve"  m: z, x, Z0 a
  clear-plot  O/ M* z6 G% U, \4 y
. q% ]/ V! v/ O+ @, q. {
  set-current-plot-pen "equal"
! F$ ]& K% x4 {# z5 u  plot 0
2 u+ \* c3 J- @! O) R1 U5 V  plot 100
; b* t  G0 @* P, o. ]. c8 X! |3 C8 p$ F' k3 `; s
  set-current-plot-pen "lorenz"
5 Q1 s  L, W! [  set-plot-pen-interval 100 / num-people9 l6 u! s1 m  _5 d6 a6 B4 x& ~/ q
  plot 0
# M- P+ ^+ W7 _9 ^. B1 A- e) I6 c6 g9 J0 n* ]
  let sorted-wealths sort [wealth] of turtles
5 F0 {$ G+ M( L# z  let total-wealth sum sorted-wealths: |% X- P2 @, B1 h9 _, t) J0 U* v
  let wealth-sum-so-far 0/ _2 i  \( l4 W: h8 }/ k8 y8 ~9 t) G
  let index 0
7 m2 N3 R" `, x9 ]5 ~& I  let gini-index-reserve 0+ x6 `. `5 }; t0 _; i
. f& X) Q" Q5 m' ]( O
  repeat num-people [
4 l3 ]: |# H% J' s) {0 t    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
8 v2 W5 S/ k8 ~: Z# R    plot (wealth-sum-so-far / total-wealth) * 100, z9 j; C. {7 {! u, R! u( U
    set index (index + 1)" X8 s# C* c0 k$ B1 g# a% i4 |
    set gini-index-reserve
6 k: l% b, U  F# I% {, T      gini-index-reserve +
7 W' S5 o" |6 |% d      (index / num-people) -2 [8 S, J% w- O' l+ N7 d
      (wealth-sum-so-far / total-wealth)3 W5 b6 z0 i) S6 k
  ]5 z( v/ `/ n+ w

% [$ K; t1 j& `$ S% U" r0 w' m  set-current-plot "Gini-Index v. Time"
; H( J0 i, Y) V/ E  plot (gini-index-reserve / num-people) / area-of-equality-triangle
, E7 C0 e9 F  N% |9 L! g  C. yend
' B5 T. ]- C. [' q" H7 n/ Rto-report area-of-equality-triangle
- J# W; G: D/ M" [0 F  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)# e  O0 {1 q3 u1 |$ V! Y9 |0 {
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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