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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
2 s) m; m4 m+ o/ u5 eglobals% u( O8 M- n; ]  R3 t7 E
[
7 d& R0 _$ \  D* U  max-grain    & ~+ m8 ], B. N1 I3 N
  D+ F% k5 O6 q. U
]
6 J7 `6 n1 t  @" ^. D  p; K+ V% f; w4 F7 K; ^
patches-own2 ~& t; G9 u0 C& b2 A
[
: T# s# ?: h/ m, g  grain-here      6 r4 k; a7 L) I. u: H4 a
  max-grain-here  : g0 a5 [9 x  l
]
" k2 g' ]8 ]- F& x6 E9 j9 [4 P/ C2 [9 Z* k2 G
turtles-own
8 }1 v$ X! t- X6 \" X! n3 l[
" n3 L2 K: `" |! X, U  x1 y  age              , x# o$ w9 {/ r. d4 T" Z2 F; L4 V
  wealth           ]  z1 z8 t6 }6 A% \  e  R2 O
  life-expectancy  . g: X! w& p: T8 J
  metabolism       " B+ G6 G% c; d; A  ~' D0 S- U) I
  vision- l- q5 t! g( X/ r
  inherited         
+ H; K% j: f' v3 G: a% C4 X% m]+ e2 R" p+ y6 d+ X; Q6 ~
( }% N0 x) J+ ~1 f. H

8 b; u9 Y; D% }8 ]5 pto setup
' H$ m  g( ]( Q4 d. Q  ca( F! O# S! M& R" G, b; J
  set max-grain 50
0 q. j1 s1 f( i0 [5 P  setup-patches* b3 E( C) ?3 }$ T. F. k
  setup-turtles- q; p% s3 `% I+ c
  setup-plots
* `' l/ p  I% B/ w! D" C  update-plots
: |$ y6 X* A+ q+ W  uend
$ L$ C; {1 ]. g( R% ^% J4 m/ }5 Pto setup-patches9 b& ?6 G2 H6 \" B  N0 b" G2 i  c
  ask patches% \8 g0 N/ [/ Y1 X9 @) ]
    [ set max-grain-here 0
- D3 y1 k/ J1 B; D1 [( @      if (random-float 100.0) <= percent-best-land
$ P# U( m9 s- A8 {. m        [ set max-grain-here max-grain8 t6 O3 K. m6 r( Z3 L: K5 Y( C
          set grain-here max-grain-here ] ]6 F2 A% n' N: a2 p
  repeat 5
# o5 n( ~+ J2 Z) G& O    [ ask patches with [max-grain-here != 0]! u. I# N0 S6 N5 E' e: B5 M/ K
        [ set grain-here max-grain-here ]
7 m9 r7 V) x4 ^# @: U      diffuse grain-here 0.5 ]0 }, v, e+ j( z) S$ P) B) ^
  repeat 10/ {. u  `+ U: P1 M4 r1 m# p
    [ diffuse grain-here 0.5]          + M4 c& w4 V! D8 U
  ask patches2 n& p, A4 G9 P2 X5 Q+ Y* F+ F; M1 I- A
    [ set grain-here floor grain-here    / {- h" n( I( F& w  ?  W
      set max-grain-here grain-here      
6 F8 G9 Z( _5 K      recolor-patch ]
0 H; e4 X5 n6 e+ q( tend9 B, E9 ]; s$ X+ Q4 t- ?
to recolor-patch  
: }9 z& T8 X2 ^7 j2 ?3 L  set pcolor scale-color sky grain-here 0 max-grain8 v5 P, D" U& F" w- p/ x
end' v% q; }: @  V6 }) i- R
to setup-turtles
& |% r3 R# s  q6 x  set-default-shape turtles "person"
( N. q) P7 p: D  crt num-people, P$ C* _9 m; Q1 m- W: T
    [ move-to one-of patches  
2 ?/ y3 k7 K2 P& k      set size 1.5  / A/ V/ {2 P5 Z6 R
      set-initial-turtle-vars-age5 f4 W& U' C$ F/ ?
      set-initial-turtle-vars-wealth
( o% G7 Z3 ~8 ]8 j8 \  j4 T      set age random life-expectancy ]/ c7 y, z  N% L; u! a3 m
  recolor-turtles
/ f& y" }2 B/ e3 M) iend
9 `1 N$ v% e. u. m  n" b3 @: g3 i/ q0 R  f
to set-initial-turtle-vars-age
0 h- Q  `4 k: y8 _, {: W let max-wealth max [wealth] of turtles
; X5 J! L7 y$ t# X; f! Z& l- ^    7 ]6 p1 [& y& d( ]+ e6 T
     ifelse (wealth <= max-wealth / 3)
  A2 o( r8 ^% h5 J% `& e        [ set color red + Q* z4 F7 U$ m% C: ~; j
          set age 0- c2 n6 q, Q0 E) a' M
          face one-of neighbors4
( x1 h: w- h7 o8 t$ T! P) z          set life-expectancy life-expectancy-min +3 k, J/ t3 }: o* Z/ R9 e5 t0 c3 F3 _
                        random life-expectancy-max
+ Y" J. V/ Y; N          set metabolism random 1 + metabolism-low
1 F) p" Z, E6 t0 _& H          set wealth metabolism + random 30  G$ `! r; v  v+ N; z4 q* O
          set vision 1 + random max-vision
; U2 {! I" Z3 D8 _& ~8 H2 ]( b! {             set wealth  wealth +  Wealth-inherited-low ]! _+ N0 B" R( ?# }% k; x9 `
        [ ifelse (wealth <= (max-wealth * 2 / 3))
" J5 K+ `8 O; t7 M) U  ]2 Y            [ set color yellow
. A/ d; X8 I  p$ U              set age 0
5 h  o: z4 `. u& s, _  m              face one-of neighbors4
6 g; x2 w# n. O7 c              set life-expectancy life-expectancy-min +
( z  n6 F7 s- n% w+ V                        random life-expectancy-max + 1
1 U8 j/ m5 W0 w8 z- h% U( f4 |              set metabolism  1 + random metabolism-mid  a: m4 u/ K1 h/ P
              set wealth metabolism + random 30" V/ j( |; g6 D1 s/ {. q; X
              set vision 3 + random max-vision
6 J% ?, I: f" Y& q                set wealth  wealth + Wealth-inherited-mid]
$ v. N  f* l% z5 O# o/ _4 V9 h5 {' v            [ set color green
$ U7 S/ G0 {$ \6 v# }7 W7 o6 O& R              set age 0/ n/ e; W& s% z! H! n  M
              face one-of neighbors4 2 `5 l, e& p; L9 E
              set life-expectancy life-expectancy-min +
" `, `2 Z1 b" ?: M! Z6 B                        random life-expectancy-max  + 2$ Q7 l( H8 F, c& N
              set metabolism 2 + random metabolism-up
9 ?3 d! A; ]) u) R! \' K% V              set wealth metabolism + random 30
# h5 c* e* n/ _; E1 X9 D$ n0 X) b+ y8 i              set vision 3 + random max-vision
% F/ ]3 v) @! k! C  ?              set wealth  wealth + Wealth-inherited-up ] ] 8 f6 a+ A9 z" v/ W" z* I

8 \. f; I9 L: P- E. e9 zend" T3 q; f: P2 ]3 d' X9 B4 Q% z
to set-initial-turtle-vars-wealth
6 r* w. c7 E% Z! L7 r let max-wealth max [wealth] of turtles# y: A+ x" n# v9 V' B+ K
          set age 0$ Z8 ?  F+ w% }) ~
          face one-of neighbors4 0 H: ?5 T0 M. ^( b  [* h, \' z% H
          set life-expectancy life-expectancy-min +
5 B8 D! Q; G5 w7 \( v! P                        random life-expectancy-max * {* k4 p6 F" Q% H7 S
          set metabolism 1 + random metabolism-up8 H! X1 j4 d1 L. e
          set wealth metabolism + random 303 h1 t! a( Y1 ]' z! I2 f+ K
          set vision 1 + random max-vision - X; {8 t, A3 q/ K8 }+ z1 U
end
# P1 w) a1 A2 E, tto redistribution4 c5 k8 y5 }4 Q2 }9 U7 R
let max-wealth max [wealth] of turtles
5 y  O6 D( `- k  r! D/ ylet min-wealth min [wealth] of turtles: w! t' S& |9 L- {3 X
if (wealth <= max-wealth / 3)
3 g: ~. n% Z; J- P  E0 U( q [set wealth  wealth + Low-income-protection ]: N8 G9 H# ?: V6 n, x+ b( r( w; H  M/ B
end
% s9 J6 G1 w5 r* U. x; Q3 x         
5 Q4 T' f4 A; W* |to recolor-turtles
' u3 P" g% b9 n) y5 O! |  let max-wealth max [wealth] of turtles: l8 g7 N! d7 K
  ask turtles0 a/ c# T- j* ~: Z5 K
   [ ifelse (wealth <= max-wealth / 3)& {( O0 U$ y" ?9 [8 }
        [ set color red ]
. x3 s6 n" F# q# H; T        [ ifelse (wealth <= (max-wealth * 2 / 3))) R4 ^: c7 m" C9 _
            [ set color yellow ]
: a$ F% A1 ?7 ?            [ set color green ] ] ]
, O; u* b! l' s. l9 m ask turtles [ifelse show-wealth?
1 |3 D5 N, S) h    [ set label wealth ]
3 E5 N2 a& T5 i4 I    [ set label "" ]]& w! W) Y% U5 L- ~* [5 X
end% ]" C5 g% s9 X4 ]

' E4 ~0 i: g2 E3 Y* z& R( Oto go
: H% S8 I) _% o  ask turtles
" U$ I' c/ P9 C5 ?9 w8 \  t% G6 L    [ turn-towards-grain ]  
) l) Y7 K3 v" k# d8 W. T+ L: n  harvest) Q8 a$ R2 v7 D  c$ D  z" ?5 `
  ask turtles; A& F! v7 ^7 g& J; R. g+ @
    [ move-eat-age-die ]
% N6 _+ J0 r' ]7 k. u  recolor-turtles
5 R* v- j$ B3 ~  if ticks mod grain-growth-interval = 0
! Y6 H) l" ^( D    [ ask patches [ grow-grain ] ]1 s2 p* D% N4 x. w2 i+ d
   
- j  B9 T0 ]8 y" S8 @5 s  if ticks mod 11 = 09 d. M3 a& J& P) `0 _
  [ask turtles. a, o- `& Y4 c2 r4 a  v) p: @
  [ redistribution ]]
+ ?1 M7 \3 f5 i: c) V& w  if ticks mod 5 = 01 A7 q6 d* Y, E8 o) \. R
   [ask turtles
* y! d8 @; a: F) d- x  [ visions ]]
$ @1 I0 E. ^2 s  U: S! z3 d" E  tick
3 a7 G3 x' `( e  update-plots6 w4 [% \1 d! i% Q: e- L3 s) k  Q
end
6 F# f- c- A: C) T+ a1 w  ito visions. ?3 J  `  E/ C, K$ ]8 V$ w+ R
set vision vision + 1
8 _  ~2 W9 W3 l% K% ^) kend
1 h+ Q7 Y/ {- N* k8 f# Z& [3 W2 B) ^4 [% m" y4 I

$ ^" w) ?# M8 K4 |" C, y/ k# Y. }, ]6 n7 x) k5 B: Y
to turn-towards-grain  / `0 z% n9 C% ~( e7 {
  set heading 0
/ Y, o% o0 d9 g, ^2 U+ J: l  let best-direction 0
+ z6 F% p: o& q0 p9 N  let best-amount grain-ahead
7 N2 \# ~/ r- P/ H& U4 x1 b  set heading 90
2 b6 `9 u4 S8 q/ @$ A. O4 s" y  if (grain-ahead > best-amount)
( I, b5 Y2 I6 x# p. x5 K% M    [ set best-direction 90% t! ^& k) ?- a: \
      set best-amount grain-ahead ]% v1 e# g" n4 @
  set heading 180/ c) X& m% D0 p: ]  K9 F
  if (grain-ahead > best-amount)) v! f8 }1 X$ U; O/ a
    [ set best-direction 180  s: v& {0 @" F
      set best-amount grain-ahead ]
4 }  a& D* b4 ^  l1 {( X5 f! m7 I3 s6 J  set heading 270: n% `9 _% P& E# D/ W
  if (grain-ahead > best-amount)
% q- m9 O9 X3 j: y    [ set best-direction 270
1 U. }1 q7 A2 i8 }9 Z      set best-amount grain-ahead ]; L! c1 I, X, [& G8 t* Y9 y
  set heading best-direction1 U' A/ V3 |3 ^; Y( L! R/ n/ r
end
* n6 k4 o! J- O$ L  H* r
, |$ X+ ?% G! M5 M1 L% I+ S
2 t- K  Z0 @$ {5 T: Fto-report grain-ahead  8 F4 R' v- \; E2 Q* ^
  let total 02 Y3 B0 m4 n1 Y
  let how-far 1( z8 B, v0 t# s, i0 x
  repeat vision
. K7 |! P# }' l9 n8 T6 _% ^    [ set total total + [grain-here] of patch-ahead how-far
- v. B9 @! r3 I  Z      set how-far how-far + 1 ]
) F6 ]* z! U- c% y6 D  report total
& _  N# j, v+ W; E1 f- p: vend
% U+ F% V" K4 i- Q: E, n# q. r: D9 O' Y) S0 Y
to grow-grain - H' |' Y# l3 s+ U/ U* s& h; p
  if (grain-here < max-grain-here)
5 @) o: d# O: ~. j6 w# I    [ set grain-here grain-here + num-grain-grown
% Q, _3 d& l) I. F      if (grain-here > max-grain-here) ; N, `' j  J6 ]  D& N
        [ set grain-here max-grain-here ]
8 u7 c9 r! u. {: M; e      recolor-patch ]
7 f2 L4 a, O( @$ Nend
) X$ [, x% |4 Z1 \; Nto harvest
8 B, ]7 [) [7 y4 c5 e7 o1 |$ p* Q  ask turtles
* E3 F5 W, Y  q% H' K, L, [$ m    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]. d. `$ [; l5 h. }5 }7 N2 F
  ask turtles
( r# C+ u) h4 h8 |: R$ l! f0 R- c    [ set grain-here 0
: g# d6 O$ j" M      recolor-patch ]
" b$ U! f. z; @  . p( f# \" e  c! j
end
& p- S2 ^7 ]( w3 e+ S
. r9 A( W; _6 o5 H7 J  N6 s, X( U( Zto move-eat-age-die  $ d. E3 [% a: X: B' \, w$ W1 r6 X5 Z
  fd 1
. x7 w- f/ y1 v) Q; d  ~6 r  set wealth (wealth - metabolism)
8 v' z2 }$ \' U8 S    set age (age + 1)) K, f1 R0 b' m# J/ H5 l8 s
  if (age >= life-expectancy)1 a* m$ O* I7 M5 l  J* t
    [ set-initial-turtle-vars-age ]& K! [, u" y# c, D) [
  if (wealth < 0)
+ @# a1 g: T9 H2 _% v    [ set-initial-turtle-vars-wealth ]
1 @+ f! n1 \; D% L+ U, U    , D/ x$ |. k1 o2 `. U; [
end
$ L$ A5 }8 x& i- @. a. ~5 p5 p1 P* e. k3 t' O
1 f4 o8 N2 S1 \4 h
to setup-plots+ x6 Q. s4 l) l; F1 \0 A8 g" i4 O
  set-current-plot "Class Plot"
9 _" U4 H, h5 W, J' O& Z- s  set-plot-y-range 0 num-people
% H: `( z0 Z* z2 Q  set-current-plot "Class Histogram": ?' G6 @0 e: M$ V* K
  set-plot-y-range 0 num-people0 _7 j2 R, _( E, h! V' ^
end
) b/ o9 @4 l0 k  Z9 ]. ^( [* i, {. K  h5 t
to update-plots* F. G  g( }0 s( w* L% T. i# h
  update-class-plot9 k0 h: R$ K% Q( r  c" _2 ~6 a
  update-class-histogram" v: l/ N% J7 }, z/ W5 X+ @
  update-lorenz-and-gini-plots
& d+ A( O+ n9 a& ~, L4 Vend/ ?6 |8 S# U4 y* u$ `) e
1 ?6 w$ }( \+ d; i. ]( S
to update-class-plot
) s# g- {$ s5 `; b5 a  set-current-plot "Class Plot"- i5 X# a9 m+ U# G
  set-current-plot-pen "low"
* w$ r- M& o" f. q' R0 x$ A  plot count turtles with [color = red]! u' g2 q: n0 ?
  set-current-plot-pen "mid"
/ e+ u% y# r  b6 Z( j  plot count turtles with [color = yellow]
) b; ?6 ^9 l- A+ Z1 u  set-current-plot-pen "up"9 r" z: f: c1 G" S
  plot count turtles with [color = green], v+ r; ?0 |9 u7 O; \
end
( j  ~( o+ T! j# Y, w( C. F
8 F" Y  l4 x- o* Q9 \to update-class-histogram& [+ w1 ]+ C7 R0 ^
  set-current-plot "Class Histogram"
4 m( v- E# L( b4 `6 t* a  plot-pen-reset# Z3 v# i6 G$ O7 S
  set-plot-pen-color red
3 T$ Q4 `- u4 F  plot count turtles with [color = red]: S( l! v9 a* p1 L7 f
  set-plot-pen-color yellow; s4 V# h" ]0 P
  plot count turtles with [color = yellow]
* T3 ~: ^5 v0 e  set-plot-pen-color green
, m, H2 U! l8 E1 }/ c  plot count turtles with [color = green]
4 Y3 s6 _" i8 D( Aend6 i8 r) l; o" s$ _$ X
to update-lorenz-and-gini-plots
% N& a1 `& Q8 \  set-current-plot "Lorenz Curve"
. P" o8 b/ f+ u1 M  clear-plot
  g8 V8 Z, E; q8 q5 t9 s  p  L4 P  P, d& f0 p, m. q, a
  set-current-plot-pen "equal"
& o# {7 {! H7 h5 C" P8 p5 v  plot 0* l/ _/ N9 T4 A2 }3 A. Z6 l
  plot 100. ]# v6 q# a* L7 A* Q
" G/ ]6 Z: T' y/ m
  set-current-plot-pen "lorenz"
  T( L  i. Q1 c9 A  set-plot-pen-interval 100 / num-people
- A; z! z" g5 l4 V  plot 0  V" T/ J( [# l+ w. C* L( c0 R

& n9 P! E" \/ Z/ U2 Q9 n  let sorted-wealths sort [wealth] of turtles* }# ?6 R% j( T, k
  let total-wealth sum sorted-wealths
9 e; e/ J, F$ h% J, [  let wealth-sum-so-far 0+ M5 x0 d5 a( P" q0 [4 N) Z0 T
  let index 0
! w- E. b. N. J4 o5 C  H; N2 M  let gini-index-reserve 0
. \* N0 A# U# S6 b9 o
9 w1 {( D9 x. I3 ]. S; N  repeat num-people [9 P/ A# S# C1 {
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
6 p; f* F8 a1 \5 J* _5 w& @    plot (wealth-sum-so-far / total-wealth) * 100
' A" T# F: Y- y! d: i+ Y5 |    set index (index + 1)2 A$ p( q" @" e0 k4 Z
    set gini-index-reserve& [, X3 n* J% G% ^( i
      gini-index-reserve +! e+ V6 C2 a1 s. x7 q! y8 ?& \
      (index / num-people) -
# ?* ]# p* U- h1 ?$ Y' f  \      (wealth-sum-so-far / total-wealth): U% C+ U3 V9 ^. n3 I& T; i
  ]' v) M2 Q8 `4 A3 X
# z8 d8 m" L+ p' J) F& t( S! V0 S
  set-current-plot "Gini-Index v. Time"+ K$ m+ S5 p; x7 h: {: O8 \
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
; C9 c' M9 H4 s! p8 s& D: ?2 m  Uend
/ I0 u* I/ t8 _. Q% Nto-report area-of-equality-triangle8 r7 N# F* @3 ~/ @
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
* o9 N; r. s$ R' r( Rend
 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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