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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
1 Z5 o$ w0 \, G, i0 ?. _% pglobals; O+ T! K4 w5 ~1 X/ ]
[
  n% b- ?+ a7 N* L7 i3 i: D) f  max-grain   
/ J! u/ H2 \0 O$ A: @# T6 R) }. _( }9 }1 w3 E# c
]! G% \) @" u; X) A6 N* G/ o

/ x. q0 @: O/ Mpatches-own
; l4 Y0 A, F; }# D: T[0 f/ x4 i, a% Y+ F
  grain-here      
: I( k2 d$ U7 {& u9 s2 C+ {3 `" s  S  max-grain-here  
2 L4 |% J* Q" l. e7 q; D]
- ], y  T  N1 Y6 n, ~
5 R# \+ C% x& Q+ U5 hturtles-own
5 G2 m7 ~& \3 e[
9 U2 a6 W, T+ Z) _0 Z' M  age              
0 K4 v, B' X# c8 r  R# r  wealth         
7 V# B6 ^6 J; ^5 m8 A! f) u  g  life-expectancy  
) r+ r3 d3 G  k4 Q( r8 {9 K" o  metabolism       # g# \8 k/ u! q; o2 ^
  vision
  z8 u) A# N0 f1 J  inherited         
6 A' |+ I% ?* ~( w0 A9 |& D/ L]
) n; C, `$ u( j; ]" m3 k; o4 i
( D8 v6 S* `3 D5 i0 d! @4 y8 f
0 e/ V7 E1 G( a0 T7 \. S. G  ?to setup! n" G' k1 `: C' _- {: e; D2 w+ b
  ca  s, ^/ V2 I. o; I! [4 G2 [
  set max-grain 50- s1 Y3 ?. T3 Q( @" E/ n
  setup-patches
8 f- o- Z. y( g) d  setup-turtles9 t8 d# f2 i' h4 a3 D$ D0 E
  setup-plots
2 ^& e* C9 h* K2 c9 G; p4 X$ Q  update-plots
# C! @& [5 I* V$ kend
4 g1 _& U( x4 [3 Fto setup-patches
( V+ m/ G% ^: s8 f  u  ask patches$ z$ F& O! i2 r1 ]9 O
    [ set max-grain-here 0
' E7 O, A- J7 t, Z      if (random-float 100.0) <= percent-best-land
, R" @) [$ U4 I        [ set max-grain-here max-grain$ X( x! u) @6 D  R# x9 F; ~! j3 N- ]
          set grain-here max-grain-here ] ]2 E9 H! a) Y' c7 [# K* e0 H) q
  repeat 5- l5 V- V& [+ U+ L6 [+ x' F
    [ ask patches with [max-grain-here != 0]
6 A( a0 v" r' K0 E        [ set grain-here max-grain-here ]
9 X$ h% _/ o/ ]8 w6 {1 x      diffuse grain-here 0.5 ]5 {7 H7 i, O: y6 T! J; T, X
  repeat 10
7 D1 k0 Q& ~( e" `7 \* T7 i% u" W" k" K    [ diffuse grain-here 0.5]         
. K3 H6 j7 `, m) ?8 s" {& U) X- y  ask patches
6 B- g  \7 X- O( m+ W+ D3 ^    [ set grain-here floor grain-here   
: M8 D9 y# u; u! S6 I6 d- q; j" m2 ^      set max-grain-here grain-here      2 t) t1 y  w8 m+ v# _6 {& n
      recolor-patch ]- p2 e% N* M' T" e7 _
end) s5 {3 y3 q+ z1 g
to recolor-patch  ; I  b! l# x6 j% ]9 f
  set pcolor scale-color sky grain-here 0 max-grain9 k5 G3 R- g0 E
end
7 L- ~' _4 }! j6 Yto setup-turtles
- E8 W' ^% x% d( ]: ?  W% ]  set-default-shape turtles "person", h  E" F$ P! Z# {) }- ?! C
  crt num-people
0 C8 |/ Y& t/ ^9 z+ W) k. a    [ move-to one-of patches  
( }8 C5 H8 J  b( i      set size 1.5  4 H) B1 q$ {) C
      set-initial-turtle-vars-age4 C: c! w8 o7 y. v* y& V
      set-initial-turtle-vars-wealth
0 H( K8 O5 [7 h- j: l# e/ k6 }      set age random life-expectancy ]/ G" D: H- o, i9 `$ [* B( o8 u
  recolor-turtles! D, O& x3 E' p( [) a) w/ ]/ C
end1 s) y0 q% {/ e# S( Q0 a' g, q

$ g+ o9 I% [' I) N8 `, x* c3 Kto set-initial-turtle-vars-age- o1 p4 r, p+ W) Y- X( s. G
let max-wealth max [wealth] of turtles4 r# A8 ]& [! d% H" z9 W
   
' R, Y! n' t9 I) }# s7 ]- R     ifelse (wealth <= max-wealth / 3)
! Z& C4 I' P4 ~" s        [ set color red - t0 J5 T: N0 S
          set age 0* w- n0 o* }1 \6 R6 ]( F
          face one-of neighbors4
) O4 q) T. p/ q2 N$ o# p1 Q          set life-expectancy life-expectancy-min +% u" ?% d' e3 `. h$ m
                        random life-expectancy-max ' I5 Q# \6 U, z0 m; L: T& Y# O; _
          set metabolism random 1 + metabolism-low3 \( ]1 X- g  t' @5 w5 G  [/ N. P; Q2 N
          set wealth metabolism + random 30
* v- d" _! |; d) F4 N          set vision 1 + random max-vision
2 |* A: d  k- C             set wealth  wealth +  Wealth-inherited-low ]
7 A8 b4 A5 E) F        [ ifelse (wealth <= (max-wealth * 2 / 3))
. e  a. J2 X+ `- t            [ set color yellow * R, o6 \, M" T" X4 c
              set age 0& v/ S. r( f2 q  Q7 A6 P
              face one-of neighbors4 $ ^: n" d: A5 s, L
              set life-expectancy life-expectancy-min +7 T. U1 i. G6 \* O
                        random life-expectancy-max + 1. {+ h/ {3 b7 E/ N( }! P$ W$ j
              set metabolism  1 + random metabolism-mid
' t2 G! N; N  c6 i6 m/ C              set wealth metabolism + random 302 H0 ^/ d1 t5 m' A& G) _8 l
              set vision 3 + random max-vision
0 `* R5 c( w! W# E8 a& ~1 Q                set wealth  wealth + Wealth-inherited-mid]1 h$ j  i' r* {& c, k. {
            [ set color green : I8 S$ P( Y. Z" ?" _
              set age 0
1 K) ]& ]: [& o- u4 z- q% d% B              face one-of neighbors4
/ G1 i% ~: `' d- Y( Q2 U6 m              set life-expectancy life-expectancy-min +
3 [0 }% P2 }8 w- A1 s0 r                        random life-expectancy-max  + 2" d+ a2 q1 j2 K/ g( k8 {4 u
              set metabolism 2 + random metabolism-up
5 U+ L' T* U/ m4 ^              set wealth metabolism + random 30+ {" f* G2 g( g
              set vision 3 + random max-vision
$ |: X+ b) }. ^* W( ^: p3 X6 {  U              set wealth  wealth + Wealth-inherited-up ] ] . [; J& C( g* {  T
% F) `. W* `8 [; `1 ~/ E
end5 Q" O3 O# ]  R2 I8 r! U( `
to set-initial-turtle-vars-wealth
  W1 ~8 g% T6 ?: H3 g% ^ let max-wealth max [wealth] of turtles) ^$ i+ }  b# r- O" h5 [
          set age 0& H/ P3 N5 I$ j! g
          face one-of neighbors4 4 Z& E6 v& i3 s# F! |: T( h
          set life-expectancy life-expectancy-min +
: Q" B5 K( h. N# [4 X% \* ~                        random life-expectancy-max
8 r# y) l, u' m          set metabolism 1 + random metabolism-up
* Y; n# q4 A% A) W: q7 C          set wealth metabolism + random 30
. u1 j  w7 ^" c% V# h          set vision 1 + random max-vision & q2 \- B0 _8 W9 k; v) C
end
" \* t! O: R# C3 v- ^2 H! d2 Z7 yto redistribution
. y& }0 ]: \' y8 A, [; Hlet max-wealth max [wealth] of turtles. ?, a) p) J( t, ?- R1 s# C' h
let min-wealth min [wealth] of turtles
3 Z& S& x4 M0 r) e8 ^! o: G( }if (wealth <= max-wealth / 3)
3 k6 m9 u* B7 f. ]6 h$ W8 l [set wealth  wealth + Low-income-protection ]7 [* `8 N' `% \" H# X. Y
end7 ]8 V. ]0 B( r  `( T: A' ^
          . o& Z: P4 s) _! h9 V+ a( g$ g
to recolor-turtles
5 p9 c  Z2 n, f# s& ]  let max-wealth max [wealth] of turtles
; d% B- ~1 z4 m/ v) d+ ^  ask turtles
& Y8 s, _) `+ V$ W- M0 ~   [ ifelse (wealth <= max-wealth / 3): T0 j, I+ h; f. {  ?% Q+ }, |
        [ set color red ]) F# |) g: i1 j6 H8 h5 E
        [ ifelse (wealth <= (max-wealth * 2 / 3))
  O  j" y5 [* v) q            [ set color yellow ]
& D, Q  o& |& L/ s8 G. a% U            [ set color green ] ] ]
  H# _* P% @5 ^ ask turtles [ifelse show-wealth?
9 S2 e, c  u9 e% T& n) E2 J    [ set label wealth ]
; i  v6 J. L8 K; k- J    [ set label "" ]]
# S% k$ ~% M/ _end. c4 S+ f, c0 M1 `- A3 F

7 Q% j& o, s3 G" hto go- X& Y8 V1 {' V' e$ c5 I" g1 F
  ask turtles
) a/ _6 F, R; g    [ turn-towards-grain ]  ! U  P& f% X4 _3 I4 Z( \
  harvest1 u# x+ ]/ c: m% `/ o
  ask turtles
7 p3 y; I" M; s0 H) C4 z' I5 `    [ move-eat-age-die ]! e8 }% o6 F$ e% u7 W  K
  recolor-turtles+ J2 h+ P$ U( W! ?' O# s. v
  if ticks mod grain-growth-interval = 0
0 a* _1 @1 T" x1 W6 b* j; W    [ ask patches [ grow-grain ] ]8 D2 e1 q# A( S1 o  t1 |) F( _& r
   
' K5 l3 n) T. h+ y" K! J' Q  if ticks mod 11 = 0
: h$ X0 w1 X! d* ?; @  [ask turtles* T& K# t# D: A- [0 `5 x
  [ redistribution ]]
* M% b) A7 @' ?9 y& M  if ticks mod 5 = 0% r* h# |' Q5 |& k% v; ~$ H
   [ask turtles
% J- N4 ^& o& R. N  e) p  [ visions ]]
8 L3 k3 A9 V$ Y0 q& T( J' v  tick
  Y/ J0 r' X) N2 b, V6 H  update-plots
5 s$ V% W9 {# @" l. O, u0 Gend
( R/ R: M' W2 s. n5 K: sto visions
& _/ z) M  m. A3 g5 r' O set vision vision + 1 : Q. M# m. O* s
end
; [  d+ }6 c# V9 C4 R/ c& |- P' r# ~( ?6 C

( T/ ]3 _, B  ^9 [" K$ a: G* `5 R* d
$ K" C/ ^1 d( B: L& P& Dto turn-towards-grain  1 P9 D; E9 @5 g0 n
  set heading 0$ k& q' p2 L. l1 P; Y( G
  let best-direction 03 `" ]* G1 |( r
  let best-amount grain-ahead# O$ Q0 \& @% v' O
  set heading 90( A0 Q: Q8 h# l$ p+ d* ]3 K" ~7 i
  if (grain-ahead > best-amount)# A: D1 K! F: z: F
    [ set best-direction 90& A* n9 o4 Z. l' `$ z* u7 ?
      set best-amount grain-ahead ]& m" R: x3 U4 I( K" @
  set heading 1809 P  O$ N% b! f# Y
  if (grain-ahead > best-amount)
) G( l/ J/ R1 q3 U4 p1 s" ~# d    [ set best-direction 180
/ W3 K7 C  ?8 s/ [      set best-amount grain-ahead ]
0 g+ F% E& ^( {% M  set heading 270
! a* m" Q8 w. ]1 F# \2 I% K  if (grain-ahead > best-amount)
8 I/ h0 f% Z* t/ z- a    [ set best-direction 270
- N  m" k( W/ e0 D      set best-amount grain-ahead ]
' X$ v: [$ L3 x- s' D  set heading best-direction: _7 @9 C2 U% p' U
end
% A4 _; d# b. A4 D' A& ?$ L9 r3 q8 e% q( g' s' B
6 z+ R' g& d9 H$ U$ p1 H4 u/ |0 K: g
to-report grain-ahead  
7 Z2 F7 {' f  Z- @5 {0 c  let total 0  B) J0 f3 U& `) |/ F
  let how-far 19 `: j( Q8 f6 X
  repeat vision5 C. L- c  z: I( j2 U# U" y/ r5 x
    [ set total total + [grain-here] of patch-ahead how-far
1 x& j4 z" O' d" N* M* g      set how-far how-far + 1 ]( A) h9 C' s+ O
  report total
4 q- ^/ k' M; gend8 y, j3 \9 k' t# m9 C! e

4 E- d* D1 h  C# _, dto grow-grain
# v8 k& Y3 D7 X  D! B/ x# ^% |  if (grain-here < max-grain-here): A+ l7 Y$ {2 R4 [( @
    [ set grain-here grain-here + num-grain-grown
2 p# J( f# i, n% H      if (grain-here > max-grain-here) 8 Y/ m$ }. y# A) Q# I# A. S& r
        [ set grain-here max-grain-here ]" }8 e, R* ?" J" E8 Z
      recolor-patch ]
. w" s) k4 r6 W' {* I0 Uend9 A: P; R2 R8 ?+ E" {  [
to harvest
/ C  v' {- @5 T  ask turtles
" D$ F3 J6 F/ S3 w/ X( ^1 i    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
1 U1 T  ~& `9 F0 o0 G  ask turtles; U! j) e5 H6 _- @7 k
    [ set grain-here 0' X$ v1 [. C- N5 y5 z" W
      recolor-patch ]
% j& G  o. J+ Q8 v' C" j  ) U. G, z! R- ?$ {, s7 i+ D" ^, q6 m
end5 h" k4 c( S4 ~$ E

% |& F2 S/ Y8 ?  e) e9 T& t, C/ ^! Cto move-eat-age-die  $ u( O( g& x6 j' [1 o" n3 r
  fd 1
! }1 U8 |) M* O  x& A5 E  set wealth (wealth - metabolism)
: A: r$ C) O9 q, @    set age (age + 1)1 H# Z" D  B! b9 g! g
  if (age >= life-expectancy)8 q9 s. U8 p8 B$ e
    [ set-initial-turtle-vars-age ]+ a/ v+ l/ K+ u, t( v
  if (wealth < 0)
4 I! `% T- N' S3 v- Y/ V5 h1 c+ a/ D1 H    [ set-initial-turtle-vars-wealth ]8 j6 _9 M) o+ [6 V+ e/ E
   
; ^9 f  B9 l2 P0 bend
4 `) q7 E" a8 L. H$ n6 R* N$ U* ^, T: N" v5 u% G
2 n# X& {( x) q! f7 t3 R. T" d
to setup-plots
/ W5 q0 w) p& ~1 h. i% ~! @  set-current-plot "Class Plot"/ D& v1 y! z( c! `% I- V$ t6 s
  set-plot-y-range 0 num-people
- X. c7 ?7 A: \, F* |) g4 m- V  set-current-plot "Class Histogram"
4 s) l( I9 I7 f# K( x0 T; r  set-plot-y-range 0 num-people
; `8 |* Q( I! `end
6 O% X# j) `0 `) g8 `$ k: ?
7 a2 O5 W( ], f& N, Eto update-plots: g% [* O3 n, G
  update-class-plot% I8 {( v0 D% q7 J  l
  update-class-histogram2 N4 P* c, W7 ]
  update-lorenz-and-gini-plots: u" G/ G1 Y7 f& d  w3 l4 z
end
: s# o5 {) m/ s. \/ \7 ^& o7 [3 K
1 E: V4 t. G  b: V% z$ f: ^7 ato update-class-plot
7 ~. q4 I1 V( C5 g# J4 ?1 I  set-current-plot "Class Plot"
6 R8 I$ ~5 @" G/ b( k' o+ q: ?  set-current-plot-pen "low"
+ o; H$ E3 ?  }6 G  plot count turtles with [color = red]
. F' V! l2 O3 A8 c  set-current-plot-pen "mid"* O8 J+ A5 r& D5 F9 n/ ]% w
  plot count turtles with [color = yellow]) L' g" ~$ h& _
  set-current-plot-pen "up"! Y9 n" q2 O5 |! i. s
  plot count turtles with [color = green]
9 v& B% O( `- v) send" h3 o+ S# s; u3 E, X3 i( Y$ |

5 B1 W! p+ {; M* S- Sto update-class-histogram
9 b) [2 Y0 l! @, N# Y  set-current-plot "Class Histogram"
! p2 o. g5 c$ F2 G! R8 s  plot-pen-reset
# R+ U, J$ E! b& W  set-plot-pen-color red& U% b* o! i1 Y. g* O
  plot count turtles with [color = red]( z. B* j5 ?. M& F, L: h6 G- {) _
  set-plot-pen-color yellow+ b& G+ `" b& b( w
  plot count turtles with [color = yellow]
6 j4 k- d1 u8 f" l  set-plot-pen-color green
8 p1 O. I2 `8 R  plot count turtles with [color = green]
' z) _1 }3 _6 |  Y5 H$ X$ tend
' P5 \6 j% ^. D1 R) ~to update-lorenz-and-gini-plots, ~, J. ~: A0 v% O' G, x9 |
  set-current-plot "Lorenz Curve"
! K. ^" Q1 G+ `8 B, F  clear-plot
( N2 N; X% x8 u( s3 P8 m) _
8 ^6 O, V- a& U0 v' T( V  set-current-plot-pen "equal"& [5 ^7 i& I* N$ m! z, V
  plot 0. l, e% }* h1 f  R
  plot 100/ H& c& [9 j4 ]( Q6 U& b7 H8 l
8 v0 j- S1 Q4 O% h1 H7 E
  set-current-plot-pen "lorenz"
$ h! t; i5 `$ \4 k( ~+ p8 Z/ {. f  set-plot-pen-interval 100 / num-people
3 ^& b# y1 F* k  V$ e- U3 ]/ _. }4 _  plot 0
. X/ k% n9 b5 \1 i( a
/ [& S) s3 \5 z: `8 ?! h& @  let sorted-wealths sort [wealth] of turtles5 }* K: I4 {- M5 \
  let total-wealth sum sorted-wealths
' |/ r" i7 A; }+ L; i* _5 p  let wealth-sum-so-far 0
3 r& r; K1 n4 ]2 H) ?! X* d8 q& p8 |  let index 01 T0 K1 h" q/ k6 F
  let gini-index-reserve 0# w& h5 q6 S' A% a+ G8 q9 C" d7 s
7 C! L3 w1 S8 e+ D& H% Y
  repeat num-people [
& W6 O! O5 A$ ^3 a; R- x) L    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
3 x  |8 `) [. z    plot (wealth-sum-so-far / total-wealth) * 100( g" |7 j+ T# _+ T" c6 o
    set index (index + 1)
; U1 P& A* W% h( A/ t' I4 ]/ }+ b    set gini-index-reserve
# ^: g! w( p. W& r$ C/ q0 N( x      gini-index-reserve +
, M9 K7 b; E% R5 R* t4 m$ Y      (index / num-people) -* n. r6 Q) w8 d- }
      (wealth-sum-so-far / total-wealth)
  ]/ W  [4 Y! }: B/ @- d  ]
  X7 M' i5 a+ a/ N  ?5 u0 ~4 }
$ r2 j4 `! q1 `) l/ g% @  set-current-plot "Gini-Index v. Time"# @  {/ d5 G6 o9 L2 q+ N
  plot (gini-index-reserve / num-people) / area-of-equality-triangle# Y$ ~" v" [1 P, f! J3 H
end
3 E9 }+ l  d5 ?, ?6 S1 W9 Pto-report area-of-equality-triangle
9 B; R- M* K7 E! m  report (num-people * (num-people - 1) / 2) / (num-people ^ 2). T2 F$ k% k, p+ ~
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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