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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" X+ F' E, a  E& t# g
globals
. U0 f' Q; U; F. Y  k$ v1 U[& P7 W1 j; q  E6 e; j
  max-grain   
  a; F$ @! Z. `) x1 _$ p8 B. y$ P; Q( w3 @3 B$ g
]# _8 `' m3 S( g0 O6 n2 s" t$ C. S. e
: ~0 Y# O/ }( H4 `& `8 j- y
patches-own
. Y/ j7 x; q" _[# P2 l( @8 V" z  F
  grain-here      # S; U, _+ y6 I2 T) Q/ O. n! i& q
  max-grain-here  % e0 p1 i* I: L- `& R
]2 l& ]; A% T. @3 n. B$ |
2 N0 a( r7 J9 U. s; S! R5 s
turtles-own
2 q7 a* d8 @) ]1 q9 l0 ^. A6 x[
$ ?: U+ \% C9 a7 f  age              
( z  ]1 I8 l- a0 ^- b1 f( r  wealth         / T# ?/ N$ o8 e. [- f
  life-expectancy  / Z7 l9 Q( {1 P+ L5 L
  metabolism      
  d( Q  Z8 ^- \* B. J* L, D  vision! g* p% c- T8 n- }; q# _: l
  inherited         
' L+ a- U  Q: P+ O' L3 p' L( B& l]( b- ~: }) N- ]! J" N# T5 q- L

6 q4 _- D/ V% B5 p. z+ I: j& l; t% A8 _1 d
to setup  T6 w; e& l3 X: d# p% e& {9 n4 G
  ca; B# s- Z( G8 R6 O8 A7 H
  set max-grain 50
0 m( W) Q5 w% Q# _  setup-patches7 e  Q0 @" U/ a. q
  setup-turtles$ ^/ i" C/ e8 o
  setup-plots# k  S# a4 G. m$ {1 [% p
  update-plots
/ j/ w+ U; _5 Y+ X* O/ ]9 oend0 }/ i. h0 B; S2 W$ D$ D
to setup-patches
6 \$ c; w( K8 ^* B7 {5 [  ask patches/ t4 E, _. t7 ]7 N  w$ V) g8 ?9 O
    [ set max-grain-here 0/ w. u( V8 S) K- d
      if (random-float 100.0) <= percent-best-land
3 b+ G: X' l3 ^$ x  P        [ set max-grain-here max-grain; F7 l; G* ?( B$ Q- O" a
          set grain-here max-grain-here ] ]" I. J0 V8 y4 d5 u0 Z+ {& n, n; J
  repeat 5
$ C) M6 o1 A5 {" E2 h4 r6 N    [ ask patches with [max-grain-here != 0]$ q7 I3 k: u: L, W% ?
        [ set grain-here max-grain-here ]$ P! N! |6 N4 Q6 P( H  S
      diffuse grain-here 0.5 ]6 `" j/ z9 N5 b5 T# v3 [1 h
  repeat 10& m3 |- F1 t, j# _4 Q
    [ diffuse grain-here 0.5]         
0 H' i3 m5 Q" W* L  ask patches
: o  ^) k% s( d9 r8 T    [ set grain-here floor grain-here    ) D5 q: p1 P" A$ \& P" g) `4 R- y* ?
      set max-grain-here grain-here      
+ I3 e+ ~2 I) `+ @. A) M% D% A      recolor-patch ]
8 o: t) C; G5 |2 X7 N# a5 g& nend1 e3 B9 p6 a# b- {3 d6 X
to recolor-patch  . A& ]9 i+ H7 T) c, I. d4 T* F
  set pcolor scale-color sky grain-here 0 max-grain( m) x3 @* Z9 R# @1 g  s) Y: B- n
end  N# s3 Z0 X8 |0 D" _! y; K2 A# N
to setup-turtles
: b6 U6 h4 I) H  set-default-shape turtles "person"
$ Z0 M/ E. @0 {) {. S  crt num-people
2 c1 G! u; ~1 v9 _& Y  Q" `    [ move-to one-of patches  7 X- O/ z" R; k! g5 a" f1 x( |
      set size 1.5  $ }7 |' C( I  q# N( R. _* n
      set-initial-turtle-vars-age
& g1 n# o0 a% a1 U- L      set-initial-turtle-vars-wealth2 z7 d5 t8 |9 |
      set age random life-expectancy ]  \8 k- u1 D  J$ v. a3 r- D' W
  recolor-turtles4 q. N& k: e3 i. i, b
end
( s; d6 o: L2 `2 J
3 O0 b9 J- }: e: A! s$ `to set-initial-turtle-vars-age
1 e1 g# E# |8 h$ S let max-wealth max [wealth] of turtles
% a8 G, T+ v  m' W; l2 @   
$ H9 J: j% M, q9 t+ s# i" R( ^$ p     ifelse (wealth <= max-wealth / 3)& m* I' S2 J7 \" w3 l( Y
        [ set color red 6 G9 T2 v$ l: h) I* p9 I
          set age 0
! @3 ^7 \3 z+ a1 T4 l' r4 j* F0 [          face one-of neighbors4
& _# @1 x9 w1 U# d5 i% I$ H: G          set life-expectancy life-expectancy-min +
. d! U+ k0 U! J& Y6 b: r                        random life-expectancy-max + }, @, t; I6 D
          set metabolism random 1 + metabolism-low
$ G; i% f- |; u) j          set wealth metabolism + random 306 s& K7 i  [" c- R9 `4 c5 s, i
          set vision 1 + random max-vision
0 F3 G+ b& T: J( \8 M             set wealth  wealth +  Wealth-inherited-low ]3 x. \" S' [7 K- x  _' S, q# Q
        [ ifelse (wealth <= (max-wealth * 2 / 3))
( R  v) b1 _. m            [ set color yellow
; r% Z# M* r8 N- r              set age 0
3 r* w; N4 `8 Q" p1 j              face one-of neighbors4
! j- y( |3 F7 i" C+ G              set life-expectancy life-expectancy-min +
8 a) g! v2 L- G$ A  ^5 F7 C: u                        random life-expectancy-max + 11 _6 t# E: v% J5 i7 Q* R1 D
              set metabolism  1 + random metabolism-mid
+ V; `& c+ d( N/ ~+ E. `7 w8 ]# p              set wealth metabolism + random 30% x7 J' A3 G& K# x- k6 _
              set vision 3 + random max-vision3 Q2 T7 A. \. v# ], W  _; c
                set wealth  wealth + Wealth-inherited-mid]
( W) n) c" K5 C2 e: r: s/ j            [ set color green
/ n. B6 Q0 C# @6 W, Z- }              set age 0* G2 a9 D) R# L8 N' i( r
              face one-of neighbors4
3 e* W  [& V; T( _& \; o              set life-expectancy life-expectancy-min +
% [% {3 n' N; W$ v' o( p+ f                        random life-expectancy-max  + 21 W) C8 D$ H! A& X
              set metabolism 2 + random metabolism-up: X* w. K- y9 E/ V$ E
              set wealth metabolism + random 30
0 _( K5 @7 M* ]( [8 B! c9 `              set vision 3 + random max-vision
5 h. n4 o) S0 F) c- {0 `5 o              set wealth  wealth + Wealth-inherited-up ] ]
& _, f  b, x0 B4 m1 C0 P# V * r, b2 c7 ]4 \; M& _- \" y
end
0 T0 m1 P( A0 k3 b1 [0 j% ^4 c- xto set-initial-turtle-vars-wealth
) _4 J2 e8 C. {6 u( Y/ O' f* K: E let max-wealth max [wealth] of turtles* A4 L: E! h* J) f0 {' L% c# `
          set age 0& g" \" K5 s: c( I
          face one-of neighbors4 : W# r& B" f! j* d- G
          set life-expectancy life-expectancy-min +% Q4 Z6 z% P4 s: P& j  U4 J
                        random life-expectancy-max . h+ T# Y- J5 a' Y+ m  R# M* Z4 F( r
          set metabolism 1 + random metabolism-up
" G6 J. C, Y' {! _5 u, F1 w          set wealth metabolism + random 30+ Z9 K9 v$ J/ T7 b4 S
          set vision 1 + random max-vision 5 R) v! [7 |  D; G, }
end7 e3 W: ?4 M0 W2 z$ e5 a
to redistribution$ `# P# [8 Z3 p
let max-wealth max [wealth] of turtles" Q, W- D. s- H' \) u
let min-wealth min [wealth] of turtles  c( D  Z) c0 W: ]8 D5 g+ L
if (wealth <= max-wealth / 3)* k: \) W' P7 i- x
[set wealth  wealth + Low-income-protection ]% i* |. D* }9 m
end5 S; N6 B' y6 Y2 h+ Q
            J( p, x7 X/ c6 G1 k3 f& s
to recolor-turtles- s. N8 F/ q5 m6 a# \* m7 z3 l
  let max-wealth max [wealth] of turtles
; |8 ^$ G. @! f# |) ~) y$ |  ask turtles
; w3 G. Z: g( V# L# x* [   [ ifelse (wealth <= max-wealth / 3)& J( x2 v* p2 x9 s
        [ set color red ]4 g2 a9 C3 z1 V0 _6 s! O. u
        [ ifelse (wealth <= (max-wealth * 2 / 3))7 Y$ [- t; [/ W7 u9 ^
            [ set color yellow ]
) S* o" i, Y1 m            [ set color green ] ] ]
6 @# p6 G9 {% ~: m- D8 R ask turtles [ifelse show-wealth?/ o- |' B. J4 ?) A
    [ set label wealth ]
/ ]6 y, N- D) v( _    [ set label "" ]]
6 }* v. X( u  s! Eend8 ]: L6 m( p% Z) A- p. A9 n1 J% D+ F
6 p. N# e6 k) w% I
to go
2 J1 V+ R& o! d, V; L( i, [8 D' n  ask turtles
2 q9 L; \5 ~) Q/ @0 W: ?1 O    [ turn-towards-grain ]  * f! N  s' f- }  M. w& Y8 N
  harvest0 @  q2 H) A3 |2 f9 N
  ask turtles
0 }9 m2 h- i7 s9 y1 {* p    [ move-eat-age-die ]
& }3 _* Q2 L, w* r& y' C3 m  recolor-turtles7 L* D1 L, i- v2 q3 H: a% J
  if ticks mod grain-growth-interval = 03 k% V, }2 h3 ]. }5 }" l1 r
    [ ask patches [ grow-grain ] ]4 Z; L" k$ `0 W4 g4 m
   
& {  b8 m9 A  |6 e% N  if ticks mod 11 = 0
8 D& w/ Z. ^2 x$ l  [ask turtles
, ?2 C$ b4 H' u  [ redistribution ]]9 L% @4 r( c9 O- J* @( }% E8 j# }
  if ticks mod 5 = 0
' O7 G4 |2 g1 L& [* j   [ask turtles" }( e4 W5 m8 z# _$ B
  [ visions ]]1 x6 q% A) H) r2 X
  tick& r! k: ?: F/ K/ f# |* K
  update-plots
( _" W+ k* I( k1 u, j% w5 |end
, @) Y  @* a/ c4 Wto visions
5 i' m" K' Q: B3 c6 E0 r4 a set vision vision + 1
1 n. d% R. P0 Q* z5 x" Nend
% u0 M1 u9 y% |3 E7 w" e; u3 a" o. w! Q& L$ k

# S, R. E/ c  P( H( B% j1 a- x2 V1 f
to turn-towards-grain  4 [2 l6 q5 _3 t: M9 U' \
  set heading 0' ?7 _5 J2 `; x- R
  let best-direction 0( i0 N- z& c! [/ D4 s
  let best-amount grain-ahead2 I" Q' c) a* h$ j6 y* N: @
  set heading 90
4 |5 d8 d( Z) h1 ?! i  a$ ]  o  if (grain-ahead > best-amount)
5 |+ Q+ T# |7 }( ^0 d    [ set best-direction 90
; B' Y( a7 [- V$ D# B* @* o+ r) o4 `      set best-amount grain-ahead ]5 ?4 M2 Q6 v- f  ?# T
  set heading 180
/ Z; r+ s( O( }5 R6 ?  if (grain-ahead > best-amount); e, u# c2 b# s1 d0 G8 S
    [ set best-direction 180
5 G8 i# Q" @  ^6 U      set best-amount grain-ahead ]
9 e: A* e0 J" i. Q) E: w  set heading 270; n4 D# P* }% o$ q4 c4 B- E
  if (grain-ahead > best-amount)2 t% |5 [. a) ^! Q" N
    [ set best-direction 270
4 b: [, w% B: h; M; H9 n      set best-amount grain-ahead ]- E( o+ H* o- Q+ J; q
  set heading best-direction( F$ I8 Y- S5 v+ H! @3 P9 b, `
end; {5 B0 v& s$ g) n3 M

# B8 j7 N% ]* d/ H, i4 W5 ?2 X. [& P4 S2 a
to-report grain-ahead  
6 u1 r. ]% W2 h8 v  let total 0; W. ^$ e" V/ ]/ \7 y* _( b
  let how-far 1  o' \4 d* r: f2 y; `8 y# d+ G
  repeat vision
5 ]; [. [. P0 o% Z: \    [ set total total + [grain-here] of patch-ahead how-far
6 G" X) J, ~1 ^+ C      set how-far how-far + 1 ]
. O# H$ K/ y. s. S$ B- h: x- ^  report total) \6 w2 [1 H7 ~! H
end4 H- N; k' {" C! f3 x8 {- P

% E6 `6 x- _8 q# D1 U& g9 z+ I7 ~to grow-grain
' E# O- u+ F$ x" D  if (grain-here < max-grain-here). U: ?$ B4 a; m! P& L
    [ set grain-here grain-here + num-grain-grown
3 f) ]* C* U& e5 r; N* V9 F      if (grain-here > max-grain-here) , V2 c! T, s: x! f# b: I9 r) A
        [ set grain-here max-grain-here ]/ a% G3 a" y' L9 [6 C( i/ X, @
      recolor-patch ]
) m& f6 t: f$ U) P( yend
6 h: d. H. n  S1 F" h, dto harvest6 P$ u4 ^. L: l
  ask turtles; D7 S& }* K# P: K- B
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
% {* q4 Q0 p9 D+ E+ x- x  ask turtles6 z/ x. F4 g) c! b; y% D
    [ set grain-here 0
) f* u% r4 e$ L+ g      recolor-patch ]" N2 `: ^0 Z" m
  : J% A4 Z' ~3 [+ n1 s
end- G) c# e" `4 R4 I6 Y2 |

; h* [& D* D2 x( D( ~) d3 @to move-eat-age-die  
' J; V$ E0 F8 @5 _6 T& ~  @8 v& E) a! S  fd 1! W+ g# u! v: |: e0 |1 O; c
  set wealth (wealth - metabolism)8 b# v" D: E" i$ Q5 I. f1 m. ~
    set age (age + 1)/ d+ |$ l. I2 G( R+ }
  if (age >= life-expectancy)6 L1 K* ]; P7 {. W0 j& B, A1 r2 i* n
    [ set-initial-turtle-vars-age ]
# N* @& H5 J) n! P0 L2 H2 J  if (wealth < 0)
! l' O" H% J: s% d& S( [    [ set-initial-turtle-vars-wealth ]2 R4 E4 Y1 J$ i8 }2 G
   
$ C; z, Q7 O6 g/ Wend4 e9 C' \& B5 [+ }) ]0 W5 G; E+ u
% x- C& [% P& v! C: c
1 m. Z( C9 j4 s; L, W
to setup-plots
' b+ K3 x* R) L3 Z  set-current-plot "Class Plot"
* f* i$ q& ~0 m  set-plot-y-range 0 num-people0 [, s, X& U9 C5 q+ L' w$ {
  set-current-plot "Class Histogram"/ @, V) J) w- a' A; O8 N2 F
  set-plot-y-range 0 num-people' j/ v. T+ Y3 M2 s
end
" K- R/ {) }+ g, ^. _8 s' c2 _% ^) j  q. d/ q5 [9 D) C0 }
to update-plots. h/ E7 j5 W' H  N* x# N, K; M
  update-class-plot0 F. p5 C% i# h0 I4 Y, R
  update-class-histogram- u: y3 a2 U% L$ d
  update-lorenz-and-gini-plots
3 \* W5 j5 F' D+ J. uend
! b! M! z# I( J0 @$ \6 @, U& D+ z
, c( w" A2 R7 Z. @to update-class-plot
8 W+ n* _& f0 u1 Y0 W. u  set-current-plot "Class Plot"
9 X! e- U  {6 \: F9 X+ U* H5 v  set-current-plot-pen "low"
( ~& a: m/ ]1 M: b  plot count turtles with [color = red]
% V% e) E  V% L  set-current-plot-pen "mid"* y6 y) Z  B+ {( Z/ K
  plot count turtles with [color = yellow]
' o8 p8 `$ \; `: S% f1 }  set-current-plot-pen "up"
( M- H2 `9 v: f+ f# F  plot count turtles with [color = green]! n& F# O# l7 z
end
4 c9 r7 q; k/ _- {- h% C
4 h* M# ]$ M: p) h* x- s, ]to update-class-histogram
/ C: a1 X& A/ d  set-current-plot "Class Histogram"
! u( l, A" M4 v; i  plot-pen-reset7 l2 ?* O0 J2 @* N+ u2 y
  set-plot-pen-color red
3 T3 q$ z/ ^$ L" B6 U5 ~  plot count turtles with [color = red]
1 k8 @( i) o" E. C( l  set-plot-pen-color yellow9 E: q+ C; e1 m! H, g
  plot count turtles with [color = yellow]1 d- b; @( K! \" ~, s' R
  set-plot-pen-color green5 i! S+ w* J8 \
  plot count turtles with [color = green]: ]$ k* `) q5 ?$ e+ q8 r
end
2 Q: G! x, j: W. ?! X1 uto update-lorenz-and-gini-plots% \9 Z" A9 m( g
  set-current-plot "Lorenz Curve"
- N. x  I6 P/ c0 m! X  clear-plot
% V/ `$ {& R7 G9 h' g' v8 Y
' d8 S' ~- T2 h- e& `: ]0 h  set-current-plot-pen "equal"
: C+ G  s9 ~6 s  }0 ]- E  plot 0
3 A- ^3 U% I: w# j% R  plot 100
  ?) u% j7 ~! o- }* V$ O/ D* U
4 A* B( S2 M# p. b, j  set-current-plot-pen "lorenz"
; L8 a: O' `. G4 E1 S+ A% p; O& k  set-plot-pen-interval 100 / num-people" b- J  A' _3 u) {0 j) U
  plot 0
' F+ M/ H. G: i# @$ X% s9 L# T6 h/ p# U
  let sorted-wealths sort [wealth] of turtles4 T; l2 F1 \4 M: U
  let total-wealth sum sorted-wealths
* [5 t+ ~$ ^  @; C: c# R  let wealth-sum-so-far 02 f' i6 f7 u; _
  let index 0( n  W) L7 }1 l5 I+ x$ z8 L2 L
  let gini-index-reserve 0% o# X$ t  c% `, U

0 B" c9 F! @9 k2 z# z  repeat num-people [2 B0 g6 d9 x. `5 T! i
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
' T0 F$ w3 K' S# r' J3 {/ ^    plot (wealth-sum-so-far / total-wealth) * 100
) v, u5 ^- B* s' s+ a    set index (index + 1)
/ S/ m3 H8 B- K2 M9 D+ W. ^3 }  ^    set gini-index-reserve0 d! L5 l- A' h7 H2 g6 j
      gini-index-reserve +
$ Q# ]/ c7 \) W9 v: S      (index / num-people) -; i& k  V. O. C. C! |5 [6 n
      (wealth-sum-so-far / total-wealth)9 B/ Q) o! r1 f, h
  ]& {+ o1 n% g0 z( h8 Q: o7 q( L
2 h' ]% G/ o  y9 m* ^/ J, |
  set-current-plot "Gini-Index v. Time"
/ I- f9 U# O/ W1 T  plot (gini-index-reserve / num-people) / area-of-equality-triangle
4 \' |" w3 ~1 E. Bend8 v& s$ _4 B3 ?* m! i  ~
to-report area-of-equality-triangle& c) y  ]3 k$ ?' b( ]2 v
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)- h5 ^1 x& c1 c# ]
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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