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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
. s# K6 q1 A) Q! j9 I( h$ q  Sglobals/ D% s( K: l9 ?/ w' X- x
[
9 v. p. X$ Y- E. J- a+ k7 b, X# k  max-grain   
$ t" t2 g7 T/ B0 o7 z2 A
" }+ v# n- B1 d$ Y* N]
3 Z/ m# b. V' Q, C* K5 _0 C6 r
patches-own
9 r( a8 q: P3 X* _. p8 Y' R# `[
  w) b) x4 c. M4 q, b  grain-here      
$ k3 s" b0 ^3 F; w* u, ~- l# h  max-grain-here  " e& [) x, X# M5 M  o1 B1 f
]
: y: H7 t" y1 C
) C/ a: W5 a( K, Iturtles-own( `" `. N% ?2 e: u+ y% V9 x/ i
[
+ ?3 w' o4 ]8 q* Q: X. I/ f  age              
1 ~) u. n' p  V  wealth         , {1 C$ G, t1 x6 w
  life-expectancy  
1 z9 J8 y& |3 N# {+ R  metabolism      
' Y4 `3 X! ^5 F  vision) J6 y! F- W! Y. Y( @0 [/ M
  inherited         $ _8 X( m, k. i5 {; X1 n4 ~! R  L6 w
]3 `. n. X  J/ t4 O0 B+ J
$ l  x! u4 N4 {: j6 S

* c1 K( }' a/ Y2 d/ i4 Eto setup
9 P9 X! k3 g. x$ g% G" H3 ?9 k+ V  ca0 J  \- T) F: U) q
  set max-grain 50
+ A5 K. c7 J! x  setup-patches) y& F' I. L* c; w/ [# h
  setup-turtles/ w1 p% i1 x$ w! T; u
  setup-plots( k& F1 V! X8 F( Q
  update-plots
  ^$ q& L+ _: g3 ]9 w+ }7 B( Zend
" M0 n) s: H( ^, @8 ?& \to setup-patches8 z. Y+ r0 D+ P' b$ H0 w: C
  ask patches
! z- b# k  Q) v; s& L* _    [ set max-grain-here 0! `! X+ y: \# E. C9 |# g! P/ H
      if (random-float 100.0) <= percent-best-land
  p: o5 _6 E2 ], b        [ set max-grain-here max-grain. I) X8 @1 B9 _+ C& y& J7 J
          set grain-here max-grain-here ] ]. x% M" H+ j0 O5 L0 |# Z7 c% k. F
  repeat 5
' X4 X( o, w# l. B% G! b    [ ask patches with [max-grain-here != 0]
" T" e3 Y* }- m* g8 V        [ set grain-here max-grain-here ]! ]) o( @; e& p* b
      diffuse grain-here 0.5 ]
0 P5 K. I; r: A! Z; Q* n  @  repeat 10
6 o/ X5 e+ Z1 s. L% }    [ diffuse grain-here 0.5]          ' R, A4 s! ]5 h# X0 }0 x; Y
  ask patches- W* n2 {' e: w( V; c, a
    [ set grain-here floor grain-here   
, J4 |; z( u8 g      set max-grain-here grain-here      : K5 t* w) ^7 u4 y- X# ?- Q  R
      recolor-patch ]1 F! L( m- b' a% A! V9 }, C; R
end3 w! L. k* U, o/ X" N: y6 r$ N
to recolor-patch  
# `. o' D! A; K. o  set pcolor scale-color sky grain-here 0 max-grain
" K9 s( M. o! ?end
" Y) ]0 b+ U- p% @. xto setup-turtles
2 z" I8 k1 Y; a! d! y  set-default-shape turtles "person"
* @* s" b3 A1 H; \8 c3 v, [* f5 c5 S  crt num-people
& R& s8 {' c) E7 F    [ move-to one-of patches  
6 r! t# ]0 j8 C$ A, L9 s      set size 1.5    b- v4 c, q# l
      set-initial-turtle-vars-age- h' s* H: J. V+ b$ V
      set-initial-turtle-vars-wealth5 M! O8 P7 ]+ v  N# ~3 h* t
      set age random life-expectancy ]2 x( M. o3 q+ M  X+ m. ]+ o2 u
  recolor-turtles! @" M! p* a# X+ R
end# h4 V3 l3 s$ u/ c# A4 }
. e7 g7 O% E' |1 J
to set-initial-turtle-vars-age
/ D8 A  z5 t* D8 n! g& Z% B4 {) w let max-wealth max [wealth] of turtles
5 t! R  i, H4 z; f# [   
7 ~' Z$ l. ~! A0 a     ifelse (wealth <= max-wealth / 3)  \8 K8 t# @7 D  B7 Q
        [ set color red
/ V* T  w2 S: x. h$ u, B* [/ F          set age 0) Y7 E. e6 G7 b2 O
          face one-of neighbors4
" _% \; k/ c4 J& Q  P          set life-expectancy life-expectancy-min +5 x  u" |7 u7 P" R+ \5 A
                        random life-expectancy-max
# H, L) ^7 G( \2 i          set metabolism random 1 + metabolism-low
$ }  P7 M# `1 E/ t& J3 b3 C          set wealth metabolism + random 30- d: `: n/ R# {( a  i: `! f: Y
          set vision 1 + random max-vision% W4 w: |5 f$ Q- U
             set wealth  wealth +  Wealth-inherited-low ]
( {4 J! o0 W; \/ }        [ ifelse (wealth <= (max-wealth * 2 / 3))* J' V) @, Q7 {
            [ set color yellow ! }, B2 Y& O- H' x
              set age 0& p! _$ ?$ F5 A, _2 G) Y- a
              face one-of neighbors4 7 w/ z# `/ m- d
              set life-expectancy life-expectancy-min +
* F: K) A6 }, B1 r                        random life-expectancy-max + 1  C& r% W! s4 \# u# t' H
              set metabolism  1 + random metabolism-mid
/ l  g6 G/ k1 Q! V/ n2 j" o              set wealth metabolism + random 30  q7 K; D4 B6 \, O7 z' B0 ?# T7 N
              set vision 3 + random max-vision' E6 Z( I+ P" Y  W! H
                set wealth  wealth + Wealth-inherited-mid]  v+ `9 C! T9 f
            [ set color green
1 U, |7 E( s1 r/ m              set age 0
: N- f3 d$ }! x* s9 e2 @1 t              face one-of neighbors4
3 s0 g8 d& T7 m9 i. X              set life-expectancy life-expectancy-min +
3 C; t7 H" a4 \( I: A                        random life-expectancy-max  + 2
$ W1 F) J8 K* B% @1 g9 p              set metabolism 2 + random metabolism-up
% Z+ O6 U0 _/ b: j4 d" F& G              set wealth metabolism + random 30
5 k! C* U1 u' }) v              set vision 3 + random max-vision" g5 S" b9 ^$ d# L+ p; Q8 [
              set wealth  wealth + Wealth-inherited-up ] ] 4 ~' N5 a6 i9 V6 |  y) D; `
7 U4 ?% f# ]: x, E8 D
end6 a. o2 C8 v; t( @) O& `
to set-initial-turtle-vars-wealth$ Z% \- N$ k# ]$ i# b% V8 U
let max-wealth max [wealth] of turtles
+ [+ h* Y4 Y4 ?/ U          set age 0% {4 H6 x, @4 N9 Q* O+ H) Q
          face one-of neighbors4 ' Y$ ^3 Z9 I% l8 e, w* k
          set life-expectancy life-expectancy-min +
) R3 n' G1 ]- D  f! s+ y$ m; Q6 W# O                        random life-expectancy-max
4 E4 L9 S4 X6 J9 a          set metabolism 1 + random metabolism-up/ J7 b# G. C. u  C* Y
          set wealth metabolism + random 30
: o1 e# r4 w) r& }          set vision 1 + random max-vision ; H; _; ^& H# T  Y# e. c/ j
end
( g9 c# `0 ?+ o9 u0 O. X2 [to redistribution; X0 D; n6 e% c9 ~
let max-wealth max [wealth] of turtles  F* s7 V& L4 v) T
let min-wealth min [wealth] of turtles
6 w! ^9 M5 c3 ^/ ]. K: d& yif (wealth <= max-wealth / 3)
2 H0 f; [2 f5 p, s, O4 }' b  X [set wealth  wealth + Low-income-protection ]8 B4 m, P2 S, ^0 h; h, T
end
. @! n' H8 a. j8 X         
$ S/ k7 O. e: f# gto recolor-turtles
8 w) i% z2 ^, L2 |* L% V4 `2 |  let max-wealth max [wealth] of turtles
" f) m! m( t  \. B2 Q8 B, F  ask turtles$ z* A0 C  E! E- j% [% @1 C
   [ ifelse (wealth <= max-wealth / 3)
) u0 W; \3 T  i* P$ [8 F7 @0 A7 x' |/ f        [ set color red ]6 d- i5 G7 q3 K; J
        [ ifelse (wealth <= (max-wealth * 2 / 3))+ s" x+ w$ N/ `, g# }& U+ x* b$ N2 l$ b
            [ set color yellow ]) w& L% R$ b- N7 ?/ h( w% z
            [ set color green ] ] ]
8 G  Z$ o8 g: j! x( I ask turtles [ifelse show-wealth?- m. b1 U2 [  G8 c
    [ set label wealth ]
7 H6 e$ W# A3 u0 o) V- d6 R" O& b    [ set label "" ]]
! |% H9 Y  |/ S3 iend4 k; @1 l: B$ D- `3 _

5 ]4 d% j; {* s# T! ^: u) Dto go
: I0 a1 m" M. E& |. V  ?! L  ask turtles, x! Z7 y/ X  r+ n2 s( ]
    [ turn-towards-grain ]  0 F8 y% V& j: E' T4 K  G
  harvest
/ L" P" y, f: }) J! _4 e$ E  ask turtles
8 `* N+ `/ b7 L9 m% r    [ move-eat-age-die ]
# L7 Q& {: B) P, ]: x5 E  recolor-turtles  T7 I( D* v, q4 C, X* {
  if ticks mod grain-growth-interval = 02 S3 A$ f1 s0 z( e' Z  b
    [ ask patches [ grow-grain ] ]6 N6 z9 s: M4 Y
   
: v& O% U$ d3 c  Y( |5 t1 [. T  if ticks mod 11 = 0
1 ^/ W7 U' F, x: B1 t  Z+ H  [ask turtles- ^/ |2 s9 B  h2 S
  [ redistribution ]], E' f0 g  k+ n
  if ticks mod 5 = 0$ {! {+ J/ S# F( \7 H! a- F  f" C) c
   [ask turtles6 m5 {# _4 {8 F1 p! o
  [ visions ]]4 l5 k2 E( x1 Q; t
  tick
: C5 k" b+ ]: v; u$ K2 R  update-plots2 i6 ]+ w5 Y) E) U3 L1 D% h
end' k9 n1 q8 Y* C
to visions
1 J( m3 ~9 J  f3 u set vision vision + 1
1 y1 \/ I% i! ]4 oend
% |1 h. ~$ T8 L2 C, p
, g  w! g$ D4 ~; J- s( f; `; m9 I
3 O" s. {, U, x" N
, a3 r$ x& |7 D9 w9 L. ^9 {to turn-towards-grain  ; M; e& e) h% T, t/ a" ?
  set heading 0+ v, y, \5 R9 a+ H3 E
  let best-direction 0
. F' ]! Y  t5 G3 w  let best-amount grain-ahead
1 L% T- P& m. }# ]+ w0 y: b& T3 a: z: [  set heading 90
* V, _" p% s6 t  @- {" n  if (grain-ahead > best-amount)3 o" h5 d0 Z, v9 t; u
    [ set best-direction 909 C' d0 _8 n# [0 P' m3 L
      set best-amount grain-ahead ]5 z1 H2 o: N7 }( f( K% G
  set heading 180" ~5 ^; \2 V- v$ c$ _
  if (grain-ahead > best-amount)
- ?0 d; L+ W1 h    [ set best-direction 180* G+ l! \$ B/ D+ y1 s7 y
      set best-amount grain-ahead ]: m6 s8 p5 q4 D; r' V! n
  set heading 270. f- Y5 I3 b. [0 W! _
  if (grain-ahead > best-amount)
- m( @8 q" r4 n4 t3 K0 R& [/ B    [ set best-direction 270
$ [* V1 L& p/ C, L7 `3 E6 M      set best-amount grain-ahead ]
# Y+ j, I$ }5 ~: I* y  set heading best-direction2 C# p6 t' t+ e
end
; w* c+ h3 f  [5 I& U1 |$ M/ f3 P- n# D% n- q; @2 v9 g

% P9 }7 S2 q! y0 L$ Fto-report grain-ahead  
; g+ l& R) q7 n! V/ Y  let total 0. c/ Q$ Y1 O5 o" j) p' d* q' }4 R" G
  let how-far 1( I: N6 i/ l6 n' e
  repeat vision  j, t, r# k& x9 w8 D
    [ set total total + [grain-here] of patch-ahead how-far
- {0 y1 v' @( q/ m, P      set how-far how-far + 1 ]
' l& d) x! d5 D% n) Z( v3 v  report total5 p4 M4 `; w% Z8 Z( R
end
4 T6 k% I5 ?1 Q5 ?) y6 o0 s1 J. P/ p! ~3 r4 M- L  r: m/ }2 }5 l) J- o
to grow-grain
' I) m5 e0 }* Q% n" N1 l  if (grain-here < max-grain-here). S; w- x6 V: P$ o: B
    [ set grain-here grain-here + num-grain-grown  r% U+ z( N" _! t; o: \( S
      if (grain-here > max-grain-here)
2 g/ z( w7 r) O        [ set grain-here max-grain-here ]7 \8 R6 z4 U: U7 b
      recolor-patch ]) I# m% f3 w  y+ ~2 n- y
end" h; ~, F( z, u- ^
to harvest
* g% g$ J0 d9 R" C' {  ask turtles
# p  L' h# m* z3 R    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]" w4 o9 X' z/ u# m1 ^2 s
  ask turtles! I2 h% x0 g- S8 h9 T
    [ set grain-here 0
) g* c+ m' ]4 A! y      recolor-patch ]; @& v7 z7 T" F. V4 ?9 ^2 d: z: |
  
% h6 @' k8 `  D8 P3 \3 Yend
9 Q$ R; n; d( c; D
8 z3 o6 T+ B$ V1 G& r& ~to move-eat-age-die  
: d. X3 ~* b; E6 o  fd 1! Z3 [8 G7 P  d- k2 J. H2 Y
  set wealth (wealth - metabolism)
* |. I$ n7 z; E2 e$ r0 A    set age (age + 1)( H* i/ Q- u" v/ z" E: Q% t$ O& s
  if (age >= life-expectancy)3 u% C/ \7 S6 R; |
    [ set-initial-turtle-vars-age ]
( S& d8 Y  S$ u6 D  if (wealth < 0)9 }+ S" h7 {  C9 R3 @
    [ set-initial-turtle-vars-wealth ]: [5 x+ G0 i) e3 k' O. T* V% P5 B( ]
   
  X8 R( T6 Y. |$ [* Nend
5 |/ f, R' M1 B# `2 ^/ L
( O7 ~' W6 P$ [5 Q5 f! h/ s  Y4 E& {; x
to setup-plots! z2 g" ~$ z& f& X+ o
  set-current-plot "Class Plot"
" b' h! S! L5 N4 a  set-plot-y-range 0 num-people
  K5 d1 A# E3 E1 M9 r: R7 e2 y6 t% A$ n  set-current-plot "Class Histogram"+ T+ p1 n* _# c0 l/ d* l
  set-plot-y-range 0 num-people: H6 [  E7 w  L/ ?' [
end. x$ H! z' E! g( B  ]
+ y- L$ n* X) Y& T8 E) m  a, s* ]
to update-plots
- {- e) B' k, ^0 M3 m: M3 O  update-class-plot
4 J% Q  }! x. T- f% i2 U& O1 _  [: a! h  update-class-histogram4 e* h0 g2 \+ Z4 \  K! Q2 k
  update-lorenz-and-gini-plots% f0 r) [; a' X  Y. P, C# u
end% C2 `) t% x6 @! K' L  p
$ h+ f& [: A- o( R2 V
to update-class-plot- D8 w# @" D9 N( x- Z
  set-current-plot "Class Plot") |; i+ l( O9 W8 r/ s5 ^8 @' o/ I
  set-current-plot-pen "low"
! b/ H6 n: Z' G  ~0 c  plot count turtles with [color = red]
. o9 K* Z1 X# T; j/ c% v% k  set-current-plot-pen "mid"
; ^/ ~" k- n+ \" i  plot count turtles with [color = yellow]
# v3 \, F6 j% w, H* a8 q% S  set-current-plot-pen "up"/ z! l9 e0 S. f' ^5 j+ W
  plot count turtles with [color = green]
# V  w1 V* [3 hend4 N+ c5 x* }# |6 g8 j* p
" h; ^$ O, h+ M( }! j5 \
to update-class-histogram
" W% y1 Y5 \- n( b: C  set-current-plot "Class Histogram"
* b+ B* E- ^5 \  M+ K0 x  plot-pen-reset7 E! Z  q6 P1 q$ a# h4 I
  set-plot-pen-color red/ ?% w' D& Q& m% ]6 x2 y  x  A
  plot count turtles with [color = red]1 A# s; S6 ~6 t, `. Y$ Z5 Y
  set-plot-pen-color yellow
9 s3 O5 j: r2 v) [3 J3 }9 K  plot count turtles with [color = yellow]
) W+ p' w' k( p( Y: g- G) N  set-plot-pen-color green+ P' l- V- m5 c4 p, v
  plot count turtles with [color = green]
1 U: ]& g+ m3 L) D2 G9 v" `( Fend/ T8 J$ I) [0 q* R' F, T, V/ I
to update-lorenz-and-gini-plots' u: m% h2 X( X- U- [! K
  set-current-plot "Lorenz Curve"+ l& d) A# X' ?- i5 e1 X4 c
  clear-plot" N/ ^: n  N2 r$ ?/ p) `3 N( ^

/ S' Y4 ~) q( X" g' E9 ?! p3 L1 S+ [; e  set-current-plot-pen "equal"5 Q' |0 `& T. w0 s; J2 ~/ }
  plot 0
) B1 D: R. Q( l. n& S1 D  plot 100
% \3 _5 b: k1 t" w4 f& ~9 i# F7 Z& }+ D' P% `; H1 }
  set-current-plot-pen "lorenz"
0 |4 t6 G& P) o* t. _  set-plot-pen-interval 100 / num-people7 F7 |+ u7 v. A
  plot 0% q5 \! f$ y7 J

% e/ `3 G! h, l1 d9 K  let sorted-wealths sort [wealth] of turtles( N- s# G& Y$ `* U& R9 `* V
  let total-wealth sum sorted-wealths" E6 n! m& W# G
  let wealth-sum-so-far 08 Z, ~( r+ e3 {
  let index 0" v2 u( z* z, A4 _1 _; U; G
  let gini-index-reserve 0, T6 C+ n& J5 _  t

% F: N- T+ A$ G# d; s1 _9 I  repeat num-people [
, M8 a4 p" k$ D& ^! ~! n    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
) M4 [' a  e' }6 E; {  h$ Y    plot (wealth-sum-so-far / total-wealth) * 1005 C0 o2 @, D& S# @
    set index (index + 1)
3 o3 }+ {. C1 F2 l, s4 X8 G    set gini-index-reserve
: x3 ?: U9 P' ]" f% ]! N0 O      gini-index-reserve +
3 b; x" J( Z# U2 G4 d7 ~1 k: n      (index / num-people) -
% p. b6 P0 z9 i1 Y) N9 M      (wealth-sum-so-far / total-wealth)# x' @1 `( w( H& z6 z  }
  ]
( d1 p; z# u" ?0 G: K5 U) @0 F" ^4 M  d/ N& s7 f0 U
  set-current-plot "Gini-Index v. Time"/ W. F0 {% I' v6 P. D" ~
  plot (gini-index-reserve / num-people) / area-of-equality-triangle* O& o( X/ w0 N3 {6 o
end5 q' [! ]# [( T& ]7 X
to-report area-of-equality-triangle5 D+ x, h  S+ c! C6 N! M* V4 v
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
+ v/ D$ [4 C& {' u$ _' Send
 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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