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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
  t- P  I1 U7 l/ v) Fglobals
! z2 i+ r, r! E( Q9 \& P3 m5 T[
& O6 ?/ D/ U. n. b  max-grain   
5 S, q8 H0 [6 ]9 v4 d8 x
( L: S; J+ a6 F4 ]0 ^! |8 t]
  c6 p( Y! s" z3 y) z6 m3 P. m) L1 M/ h2 ]7 l
patches-own
, V% \0 [4 r7 `; c[; d8 c: j) X2 i5 O2 c8 u- i
  grain-here      
, B9 h! M- ~5 |  max-grain-here  % z! `* L1 F3 ^: R" M0 R2 T/ H/ V3 O' d7 v
]
  ^3 N; o" ?& d4 ]; L# r, e
( g, ?; m3 m% t" Qturtles-own
; h$ @9 C0 t4 Z, k[
; R/ D5 [% Z- U, \: j  X  age              
9 N" g* a6 ]" t5 Q7 ~" A  wealth         
' h: J( Z2 U( C; |  life-expectancy  
8 r1 L( U2 ?: {* ~; Y3 }  metabolism      
( @0 T) s* q3 Q  vision/ A6 T) g3 b# N  W  h; D7 j
  inherited         * n/ ?9 W  y  Z* I+ t
]7 f: |( o3 j5 l( n, j
7 c) [. G8 @* K9 q0 S
, Z9 j' t, V9 V
to setup" @4 W# ^. I! T
  ca2 _" m0 o' W% `" [9 [( A8 S/ L% q
  set max-grain 506 F: E- A6 j* l
  setup-patches
$ X4 d- o! A; L8 a  setup-turtles# T! a& R2 H" a' _
  setup-plots: |$ V. D3 K# p$ F6 h
  update-plots' C' R" \1 h, I! G; x. Q( p5 d
end. I) q9 k6 Z3 b- ^7 M
to setup-patches
6 q. ?2 e; {8 \7 O0 }7 O( o3 V6 t  ask patches! P+ {: n1 a- J
    [ set max-grain-here 0
  v: N8 j" l( M, j      if (random-float 100.0) <= percent-best-land9 O( B6 I1 l3 A9 a! \; |7 \
        [ set max-grain-here max-grain
* {' Y! ?. D) ~0 w0 }% I  q          set grain-here max-grain-here ] ]
) s$ w& ~+ y$ y" D* {  repeat 5
: m# t2 r) @, Y3 |' _8 M9 b    [ ask patches with [max-grain-here != 0]8 c0 e: `4 v' Q. n& u6 w# `& O
        [ set grain-here max-grain-here ]
4 \# x9 @, ~7 A! c7 b2 P3 b      diffuse grain-here 0.5 ]
' _7 D9 P. ], g2 q  repeat 10* W9 R7 I7 j/ d! b
    [ diffuse grain-here 0.5]          ! ?! c( r; }) P. b7 ^/ o( W
  ask patches
; B- k( S) j* Q  P) p' C    [ set grain-here floor grain-here   
7 v+ F8 g7 U  J( ?. X; `( p      set max-grain-here grain-here      1 l  }& M! n  p$ J3 J9 s
      recolor-patch ]/ C! s  T) |. T" K, B1 o) \
end
/ q, e, I" L, |/ jto recolor-patch  9 D# p- k9 f% Z5 D
  set pcolor scale-color sky grain-here 0 max-grain, [2 Q' }7 P0 H$ i
end
8 W2 ^9 v9 I6 I( Z, qto setup-turtles. |" h  ?. d6 X* }8 G4 i2 g
  set-default-shape turtles "person"
8 B( x# x8 ]5 x) X6 Q/ x  crt num-people5 z9 v! ?6 g# y" i' [  }) X
    [ move-to one-of patches  
7 u2 I1 p$ c* M# u% Q1 a( _      set size 1.5  
" M4 \/ T4 Z5 h8 i/ X      set-initial-turtle-vars-age
9 T/ l$ b, T8 i* S% }5 T2 g      set-initial-turtle-vars-wealth2 Z: j. N3 I& \" T  W( J/ i+ U
      set age random life-expectancy ]8 v) Q0 B+ j. E
  recolor-turtles* T. h$ b# b  Y1 }; [
end0 M/ L1 C) L7 q* W% k
* W9 s( b5 M0 j2 [5 i, ?
to set-initial-turtle-vars-age
+ [" v2 e: B( E7 f: d# g; l- W7 w9 D( o let max-wealth max [wealth] of turtles! E5 A5 e2 M0 R3 F
   
' l' S0 g7 [0 @$ G3 U; i     ifelse (wealth <= max-wealth / 3)/ ^' ]* D; S. h% E
        [ set color red 8 h4 c7 t2 G7 k7 A
          set age 0
  w/ m0 n8 k- D( G% q$ D          face one-of neighbors4 " X- E5 J/ o2 N2 y$ k, }1 R; v2 P
          set life-expectancy life-expectancy-min +" ?2 k* }6 T. E& N2 ~' n
                        random life-expectancy-max ' H; Z  C9 A" u" d4 n) E( k
          set metabolism random 1 + metabolism-low
3 t' }2 _4 j) ~' J" ]5 _          set wealth metabolism + random 30
2 r' ?* a3 H8 B: W7 m5 ?6 \          set vision 1 + random max-vision7 U$ B  }9 X/ w; z* K% }" T
             set wealth  wealth +  Wealth-inherited-low ]
( q0 F2 T, x0 L9 m$ c- F        [ ifelse (wealth <= (max-wealth * 2 / 3))0 i* u! E; g' O; h3 Z
            [ set color yellow
$ C- `7 Q; A* p3 U              set age 06 a: q4 z  R1 o1 W
              face one-of neighbors4
( @: T" s6 G" L8 G/ |              set life-expectancy life-expectancy-min +
% |$ E. ]/ Y$ J) d1 n                        random life-expectancy-max + 10 K3 N& ^0 ?' p
              set metabolism  1 + random metabolism-mid: Y% {" }4 C( M5 d2 R3 d+ w
              set wealth metabolism + random 30
5 Y  b8 R4 W% q: k+ ?- w! E% A              set vision 3 + random max-vision
" N; T, U: n, d" `. A                set wealth  wealth + Wealth-inherited-mid]+ d$ S. H) U; p# e5 W  ~
            [ set color green 1 J0 F2 r7 P5 |' e
              set age 0$ a; |. C* e+ ~9 P- y) D$ X. }
              face one-of neighbors4
6 `, H$ ~& C* ^) Q# ]              set life-expectancy life-expectancy-min +; k9 n1 a9 [& h" F: a1 X
                        random life-expectancy-max  + 2. f3 R9 K- m4 q- `
              set metabolism 2 + random metabolism-up
$ O+ o9 I2 V% p8 E              set wealth metabolism + random 304 ~4 k( m1 |, u8 K, z
              set vision 3 + random max-vision
2 k" ~- R5 v7 C! j+ M  B% ^3 O              set wealth  wealth + Wealth-inherited-up ] ]
5 U- b" [5 Y. ~" J% f) U4 j, `
' {# g" a- S- A% r* W9 u, Eend
4 y- ^) P0 V0 z9 N; P5 q  Cto set-initial-turtle-vars-wealth
7 n9 e$ h" b! a# J* f let max-wealth max [wealth] of turtles: S$ B; ]* k% t4 C
          set age 0
& ~1 w2 h" s2 t0 j          face one-of neighbors4
2 N" Q% ~( S' _0 C9 o. f* z( w          set life-expectancy life-expectancy-min +
' _# M# E& Q/ W" D                        random life-expectancy-max " ~+ }) X. W( w& |& a& |+ ^
          set metabolism 1 + random metabolism-up& P. h* G& G: u/ O, `- K- t+ m5 S
          set wealth metabolism + random 307 }; h: `( i, m/ b6 t/ q* Y
          set vision 1 + random max-vision
: |1 }9 y. b/ M+ I6 a9 P+ E9 lend
3 f" U" n  F  P" Qto redistribution0 e% h- \3 v) d* G4 D3 F, j0 a3 g( Q
let max-wealth max [wealth] of turtles
. ]9 s8 v' h9 B7 Q- l7 }let min-wealth min [wealth] of turtles
( o& d0 S; d' B' \if (wealth <= max-wealth / 3)
% _" S) x' p1 G% @ [set wealth  wealth + Low-income-protection ]0 O7 e6 _, ?' P, Z& [+ f
end% a4 h$ [3 [0 J  u2 C
         
! `* k; j- M$ t- H% D; Kto recolor-turtles- S; z3 o2 f& s. ^  B6 i! u' h
  let max-wealth max [wealth] of turtles
/ H8 S+ T1 i4 {4 S$ ]; v7 t  ask turtles' j# q' |: j/ n8 N7 c8 S5 N9 r
   [ ifelse (wealth <= max-wealth / 3)
) H2 Z$ X/ u& L1 L        [ set color red ]
; \3 K* G5 q2 g. |, p1 u        [ ifelse (wealth <= (max-wealth * 2 / 3))
; r1 b$ P7 W8 c& s            [ set color yellow ]6 x6 E) \& V+ u% C' e4 ^  f$ r. l
            [ set color green ] ] ]. e+ E, }+ v1 F$ u" w+ k! G
ask turtles [ifelse show-wealth?7 i1 K' Y6 M3 S0 L* y
    [ set label wealth ]
2 }8 x1 X3 {6 _* K    [ set label "" ]]
; C: C& }  C" c$ g* |% [2 eend
9 E- B( D7 Z0 V. d$ z" ~
, `! p3 H3 N: Tto go5 P) e9 e% M5 i% q, R
  ask turtles
  b; z4 M! \' F7 ~+ K. d2 x2 e    [ turn-towards-grain ]  $ k3 a' z6 h; `2 j
  harvest
  I# `8 u$ Q9 y/ Q% m6 [& Z  ask turtles, O  E# I2 g  F& A% r- L
    [ move-eat-age-die ]2 }% N6 A' d' j" Z. P0 Y) ]" E
  recolor-turtles
$ m8 {; {4 j) b5 C; X  if ticks mod grain-growth-interval = 0
  U) {% U5 u; i) l    [ ask patches [ grow-grain ] ]
1 q9 L$ ^7 K1 p6 C2 z; s   
# R2 e6 R* m( y. t! o1 y  if ticks mod 11 = 03 V7 z! g& y3 l1 T/ d" z" }- }
  [ask turtles2 u$ d5 v. e+ ?# a: F9 r& F* B
  [ redistribution ]]
: Y" I* |4 C/ i1 l* ?4 F  if ticks mod 5 = 09 j9 O- V$ s9 a$ M* l
   [ask turtles
, U9 @# I' Y3 g7 T: K2 y# n  |  [ visions ]]
0 \* ]% Z/ K9 f$ n4 v1 x1 T/ }  tick
9 p& G/ R* a" b/ A" H$ g  R  update-plots
: }! O3 L% t& T  k( X: dend
. u! d5 j3 s* V+ H0 A9 a: k+ Fto visions
% E# O2 [, A  u2 J: F% q8 \ set vision vision + 1 8 M' c) r1 T2 q+ ^) a2 ]
end
3 ?# t$ Z7 k) P8 p5 i
' Q: \& G0 B6 O  M
' }7 v" e$ |) D& t" ?
: J8 e; A' k0 ~3 v9 n4 ]- Ato turn-towards-grain  
4 }: K( R$ u$ j, V  set heading 0* |1 n) C- B# |1 d) r" T
  let best-direction 08 W# J' S" Q& C( W! b( a$ \4 R" M& i' y
  let best-amount grain-ahead  g" R2 v" W5 d2 g1 Z* ?) |: u
  set heading 90; x+ z6 s. f$ V! J5 Y# f
  if (grain-ahead > best-amount)
, Q1 D' C" f6 x' X    [ set best-direction 90
# v( Y& l. u3 Z: [6 g5 Y" n      set best-amount grain-ahead ], S' f" u) T, a% G! |  i( @, a
  set heading 180
6 Q8 t# c6 J, w4 H/ M( ?  if (grain-ahead > best-amount)
. f, {2 P) @. t" K/ M. D8 }" K( t    [ set best-direction 180
/ q6 K$ t( x- p7 z$ |      set best-amount grain-ahead ]
4 ~+ I6 o9 h& ^" K1 k  set heading 270/ h0 k' p7 x! k! m& ]9 k, I1 V
  if (grain-ahead > best-amount)
7 ^$ f+ z$ ]1 ~: z* i/ i    [ set best-direction 270) f7 m$ v* J* P: f2 y, P: K6 e( O3 _
      set best-amount grain-ahead ]
  H8 C' p3 X5 b) W  set heading best-direction
2 h, E  t# B: A$ \; Gend) y% Y, o1 f) j* g: [" Z

5 j9 w) |6 u3 W4 W- A2 N6 v
  R/ H: g( [5 l) W, q% M5 k$ qto-report grain-ahead  . b- Z9 Y- t4 h, O# h1 j+ |
  let total 0
) J2 M! C$ \( t* [  let how-far 1
# }* P2 x4 c4 G( r( v$ ~4 }  repeat vision7 n2 G4 p; ?/ e/ s+ F5 t, C
    [ set total total + [grain-here] of patch-ahead how-far
, z2 q* o- L4 c0 [& Q4 V3 f, ~      set how-far how-far + 1 ]+ I6 E" S! X4 p0 ~
  report total/ r# u7 C, G0 h, S! V1 v$ ^1 ~
end
' Z: j! n# a. _/ P1 `
( y, X8 y. c3 R) i9 ito grow-grain $ s% s; L/ K6 y! v! {% x
  if (grain-here < max-grain-here)
; L8 `, M: F7 ^    [ set grain-here grain-here + num-grain-grown
- J8 J) c  P  f0 g* s: k1 N      if (grain-here > max-grain-here) 0 X: I$ C# Z: H. W
        [ set grain-here max-grain-here ]1 f/ W4 f8 P' {4 {
      recolor-patch ]& O; W* ?8 c2 x' l
end
2 y+ {0 _/ ^* Qto harvest) d- S. U' ^/ [3 G
  ask turtles
7 P" S8 V: x9 X& y$ z: @2 F    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]0 u0 M! l, ~' }" T6 U: ?/ ]3 r& j: t
  ask turtles, ]4 R9 U+ |1 h9 \; h& O* B5 J5 o
    [ set grain-here 0: q3 }- i- B* P5 g
      recolor-patch ]) w  A/ U1 G9 x4 k4 M
  
& t* E# l) y. E5 r8 K; Yend
6 j: |! k& K/ b& o
' O9 w3 `# I0 ^6 h9 D! Eto move-eat-age-die  & G0 |3 {* |8 X$ y8 d1 I
  fd 1
7 f+ E) L; r4 H1 `: h  set wealth (wealth - metabolism)
  [* K/ D% W' k- Q5 I9 C! x( \    set age (age + 1)
( D  T  D* M/ i, E  G! C! A  if (age >= life-expectancy)
/ E( p( l, g! I5 Z. o    [ set-initial-turtle-vars-age ]
& d5 w2 e) t* E5 ?  if (wealth < 0)+ X$ y" M8 {3 n8 Q. H, Q
    [ set-initial-turtle-vars-wealth ]
$ k' a  `* d3 q   
8 Y- O4 S: O' M9 x. v9 u# L+ iend
1 [. f$ X! J$ I% j& K
8 q4 d0 s8 u) x
* |5 e. ?; R! \* \1 N# Wto setup-plots5 E% ?) [+ g8 }- k7 n* `, H2 x
  set-current-plot "Class Plot"
- w8 p! c9 P7 k& o/ L  set-plot-y-range 0 num-people! a9 D1 E& |) u5 R: V" w& f
  set-current-plot "Class Histogram"
. x5 L. a+ F; C- O  set-plot-y-range 0 num-people  F6 e: [/ I* v& h
end. ^- Q$ d; U9 n  q  q

3 [  ?0 g' J/ T3 P/ Y3 Nto update-plots4 X; J. `6 Y. \8 `
  update-class-plot3 n4 e7 v/ o0 ~  f9 C2 o1 B) j
  update-class-histogram3 T( x- ~% Q8 [/ _0 M- K
  update-lorenz-and-gini-plots. c' C. S: N4 o4 I2 m; M
end- X2 Z+ i) \% E  H9 v
4 k/ [4 n* i0 q# ~# w
to update-class-plot9 Y8 N/ E# T5 y
  set-current-plot "Class Plot"6 h7 h6 a; [( P8 R7 V
  set-current-plot-pen "low"
( q: J2 P! O& j# Y  plot count turtles with [color = red]
+ s7 @8 p7 @' A5 D  set-current-plot-pen "mid"5 {( E4 G" o7 g4 E5 k# l
  plot count turtles with [color = yellow]- Q5 n* L6 p7 E& D2 [% i
  set-current-plot-pen "up"; h! f) e: r4 S. \6 z  I
  plot count turtles with [color = green]
* g' e  [* S3 t. M3 Fend
0 P2 P. [1 Q) C5 Y# n. Y* f7 D/ k  a8 @4 q  V; H/ w- O5 N
to update-class-histogram
9 T8 Q, H1 u% L! ?$ B5 [! ?  set-current-plot "Class Histogram"
) K' d3 y- L$ R& e- N5 y' A  plot-pen-reset
3 f8 [2 P; d  l9 a" C  set-plot-pen-color red
* c. V# y- N; U* f2 r  plot count turtles with [color = red]
, K4 X; G8 n1 ~# \7 I" o  set-plot-pen-color yellow
' [* {1 o$ k) L1 U1 r/ P+ c% v  plot count turtles with [color = yellow]. _1 c- f* l' u* t* |
  set-plot-pen-color green
0 ^" B+ _" H, E% w7 f9 p( T  plot count turtles with [color = green]; g! l$ h- J4 V0 B
end& ^8 R0 P2 z6 e* T( G! u% J9 f
to update-lorenz-and-gini-plots4 |+ j0 F" f3 _, @
  set-current-plot "Lorenz Curve"3 _% ]9 h& m( ?) v6 D
  clear-plot
; M. \* s6 ~* P  L/ O- @* h
+ V8 O, Q" v* z3 i  set-current-plot-pen "equal"6 E3 g* P0 F8 P4 ~
  plot 0
0 s" j) Z" ]# x! u; G  plot 100
% i# ^, ^$ K& Z; u% O
9 h- g% K( O. h: H# [  set-current-plot-pen "lorenz"8 M0 M; M  O6 P7 |* M
  set-plot-pen-interval 100 / num-people1 i5 I  t5 T: a
  plot 03 }# d1 ^% ?, G; l  z0 p
# e$ ?. n' O* U  G* d/ X
  let sorted-wealths sort [wealth] of turtles  T8 h: H, k  M/ p9 g* x4 y2 q
  let total-wealth sum sorted-wealths
, I- [/ i4 s" H* E7 H) ]5 w  let wealth-sum-so-far 0
9 T& z  U# p& q; S. N; ]  let index 0
# e! C& t$ J' q2 P1 O  let gini-index-reserve 01 R6 ~- x" H8 B% W

4 ]/ |' \) i. k; S$ }) r4 _  repeat num-people [. d- P! u+ J" q1 K2 \. ?4 J  O6 i
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
) e' X( {1 d/ R6 R    plot (wealth-sum-so-far / total-wealth) * 100
# o6 J- _% g8 L3 y    set index (index + 1)
5 l' Z8 @& W! w7 o7 T* K    set gini-index-reserve- Y3 @2 @0 D$ p" H7 c. E. H
      gini-index-reserve +
& a* n% x, G6 @8 C- ]& m& `      (index / num-people) -7 r8 i7 ?( k8 \5 S' S( ?
      (wealth-sum-so-far / total-wealth)  }) c- W) ?' t. B: ^
  ]
/ U( T- N& Z) `2 w8 K
- k# H- m  S- X. T' P9 S2 X  set-current-plot "Gini-Index v. Time"# k$ k3 A; F$ v* b% t
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
5 {  c1 z, f: m7 n* B1 a' Kend
: L& r+ ~; w, @* J6 B3 F, Kto-report area-of-equality-triangle
' |/ H" u( l- R$ _7 p" U  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)& t! v. v! O  _' p) _4 ]
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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