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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( o4 j; V% ~0 C
globals
$ j% o% \8 K+ F+ k2 b! i[. I( `/ B1 `" S9 j" s
  max-grain   
7 C. [  a4 m* X; T# g" {) O- c; G# I- H" `: o7 Z
]6 _  \  q' H% P) q1 ?" A
2 o; d5 A. @( G, A+ {) X
patches-own) u1 G3 d* W; q, t3 _4 v, W, E& F5 Q! W
[7 ?% y4 Y- w4 y8 |
  grain-here      
! G9 k' X1 B; W0 \0 N5 J4 z+ B  max-grain-here  & L- H  A3 ]$ S' L
]
$ A# C- o+ o* \  }( s; d( o9 `0 }' e" G  @' K7 B
turtles-own
( u6 ]4 m$ h* `2 e[# e/ R. B7 W" D& j, s0 H  X) {; ?+ R- ]
  age              2 f2 H& C% k* j$ r7 C
  wealth         9 Z9 Z4 P$ p) W! E. _6 C/ v; N* v7 U
  life-expectancy  
! q4 X3 V3 T% R2 d  metabolism      
7 X# i$ ]  y  t: [& y0 x) J1 @  S: D+ r  vision
' j' S+ u5 t% u1 ]" G  inherited         
; S' J4 t, l& Q/ P1 Z  ~& Z]
+ ?; a6 m" E7 c3 f' L, D3 U- ~$ i8 R6 M& C. s: z2 t6 c7 f; C8 f
0 S0 [' k# i9 M  ]$ m/ _/ I( E
to setup" }; ]. c$ @. k2 J# e
  ca8 z# d. \- n( A6 g8 z
  set max-grain 50
$ p5 W( l  t, s4 r  x  setup-patches
1 P6 m# y8 T+ O  setup-turtles
* ]) s/ f1 W1 X4 |  setup-plots' e- R, m, Y9 D
  update-plots5 c) E1 w) m, `+ v; {4 j0 m
end
! g5 S1 J. |% ~to setup-patches, T6 q) s6 u6 s' A& o
  ask patches/ j! @. p$ Z9 I  I
    [ set max-grain-here 0
. @3 z/ P( B1 N$ I& ?' N, \, X      if (random-float 100.0) <= percent-best-land" q& a) y/ T: Q
        [ set max-grain-here max-grain  Y! k) r7 R0 I, f3 K
          set grain-here max-grain-here ] ]7 t, M& k# C( ~7 D" E) l
  repeat 5. _" r* G% K0 ?
    [ ask patches with [max-grain-here != 0]! L6 \3 ~8 s$ [9 @
        [ set grain-here max-grain-here ]
: U/ N+ V1 b6 T) D      diffuse grain-here 0.5 ]
; E4 M& K; i# F: t/ N* Z  i7 P  g1 P  repeat 10
4 K5 ]7 A# m0 P# F( ~# J) `& X    [ diffuse grain-here 0.5]         
5 q2 K; i, a. D# e  ask patches
5 z, D6 _$ ]9 y; {: @& I+ f    [ set grain-here floor grain-here    * q# G5 [9 D; C8 n+ A! R4 v1 G% t# J
      set max-grain-here grain-here      
7 o! k; `! |# A0 |      recolor-patch ]
6 @5 |' q2 t( J4 E* q! {) Dend
' e6 M2 M: l+ e1 @. Z  Nto recolor-patch  
( A$ z4 d+ s7 K: u( z  Y" p5 ~  set pcolor scale-color sky grain-here 0 max-grain" x/ c7 J: D+ `
end
) Q7 m5 [( u  ~  u4 s+ ?) a# Z/ Ito setup-turtles
% c; n' i9 m; @0 \7 q9 O  set-default-shape turtles "person": K' N, C% {& A& d, Y  w
  crt num-people$ O3 F) Y! k! w! Z! ]: Z/ S
    [ move-to one-of patches  7 c+ a* u$ P8 x
      set size 1.5  
0 O$ b' u5 P& Q. n$ I2 B      set-initial-turtle-vars-age
0 S* N1 `8 v) |2 }2 ^' v/ h9 H      set-initial-turtle-vars-wealth
$ ^0 k9 f( w: ~2 s8 L      set age random life-expectancy ]
% `- a6 @* ?3 l: I2 d6 k$ w  recolor-turtles
6 \0 Z8 t$ d9 X) @end
4 m& ^5 V# T3 }  b( k: o* h  M2 W+ q9 n/ `  g1 {' h1 Z1 ?, Y
to set-initial-turtle-vars-age
5 [/ T1 X/ \0 p; O let max-wealth max [wealth] of turtles
' m6 h" ^+ z/ W( _1 J* s- r5 H    6 @- z  n9 s7 D
     ifelse (wealth <= max-wealth / 3)& m1 r: s9 W7 K7 V
        [ set color red
2 i# R! O, \- X  ?2 K          set age 0# n" ]( s& ?+ ]6 z6 L. w5 q
          face one-of neighbors4
/ {+ G' j: F' ~# d) m- K7 v9 l1 s          set life-expectancy life-expectancy-min +& F/ ^8 k  {8 ?' |7 u
                        random life-expectancy-max 0 t; A- I8 Q) q! g
          set metabolism random 1 + metabolism-low
& G; t; [! ^2 R8 {. K+ V1 s( e          set wealth metabolism + random 30; `& }; p1 Q: f
          set vision 1 + random max-vision
7 x9 a; C9 V7 E' S2 B& u             set wealth  wealth +  Wealth-inherited-low ]5 ?4 W4 y" ]# L& u
        [ ifelse (wealth <= (max-wealth * 2 / 3))$ f/ g2 C2 d" [6 y
            [ set color yellow ! z7 K  @% }0 Q- q1 o, D7 v9 L
              set age 00 H2 u7 V8 s6 M7 P
              face one-of neighbors4 1 m* d3 W2 g. l# C1 P
              set life-expectancy life-expectancy-min +3 K$ K% X$ ^+ Q7 q) z' _9 U/ l
                        random life-expectancy-max + 1
) w; _- E. Q9 F+ e" N* K              set metabolism  1 + random metabolism-mid
5 ^/ ], e. p  W0 K4 u) z              set wealth metabolism + random 30
4 X" {% d9 j2 M8 J2 W' I% `7 I( T# m* ~              set vision 3 + random max-vision' w) w) ]$ h8 ~, T$ D# y
                set wealth  wealth + Wealth-inherited-mid]0 F8 s: A( R4 W/ o# `4 D
            [ set color green
0 Z5 ~; f7 a, C: k% _0 H              set age 0( v) ~4 p5 r+ H+ ?" Z
              face one-of neighbors4
% f" W- b% M, a& I! k: `              set life-expectancy life-expectancy-min +9 J' }! h* c- h6 L0 A
                        random life-expectancy-max  + 2
6 }+ Q, ^- P2 a' w" E              set metabolism 2 + random metabolism-up
) T; z" i3 b# q2 R3 B) s! B- O              set wealth metabolism + random 30
: ]% v' V/ @0 n% ~4 r, `! r              set vision 3 + random max-vision
4 J4 Z' k9 G. `( R& D3 q* ?# @$ y              set wealth  wealth + Wealth-inherited-up ] ]
# N" W# A4 e% F- x7 m$ }
1 m8 \$ `7 F- c3 C5 t5 r( H% aend
: ]- [. W/ U) X1 Z3 a. C3 v3 Eto set-initial-turtle-vars-wealth
2 _4 M3 _/ q9 U* V let max-wealth max [wealth] of turtles# z: V% u1 m1 I& c9 i8 y0 `. O4 y# g
          set age 02 K& D5 I- B2 y9 ^9 M% B
          face one-of neighbors4
" h( Y; E2 P  }  Z# G! ?          set life-expectancy life-expectancy-min +4 h. D# K/ V  [. M  q; h
                        random life-expectancy-max 1 y6 R( N$ _; y3 v
          set metabolism 1 + random metabolism-up8 W5 |$ ^3 u) X! N$ G4 z( D
          set wealth metabolism + random 30( q3 d% j  W% m' k. R$ ^* t  r
          set vision 1 + random max-vision
2 Q$ d5 j7 t# Z* Aend3 ~, U5 s; [' V
to redistribution% n/ f% g6 n* C* b
let max-wealth max [wealth] of turtles
2 A. T; R4 @! D! s' v- wlet min-wealth min [wealth] of turtles9 S! m; |+ W) M% E) H: R( E4 {, \
if (wealth <= max-wealth / 3)- c$ y6 W1 k) q. q' m
[set wealth  wealth + Low-income-protection ]
/ c6 w0 t. A' J) z$ t! Xend. u6 U2 e/ d& X+ s
          : a/ U/ I' H2 |( \# {8 U
to recolor-turtles
( L. U- b6 [3 @! r7 M& X2 Q  let max-wealth max [wealth] of turtles/ ]# F* ]- A5 U/ U! z: I& r
  ask turtles
- s1 x! _. Z8 m1 b0 i# r: \; H* F   [ ifelse (wealth <= max-wealth / 3)
* U& m2 o- E% a' a* }+ Z; g        [ set color red ]* ]3 a1 C* q) b- o, w) `  D
        [ ifelse (wealth <= (max-wealth * 2 / 3)), ^4 Y7 c  T6 o1 K
            [ set color yellow ]
5 B5 `! a/ e- \! z1 k4 ~            [ set color green ] ] ]; J/ ~/ P5 l% v( h* q) N  X
ask turtles [ifelse show-wealth?3 X$ ^8 X% `  }
    [ set label wealth ]
5 v$ n0 E, B8 e9 g    [ set label "" ]]# ~2 }% p% g) s: e$ f  r6 r
end
  ^7 U4 @9 u! b/ j. J; ?' l, g* D$ ^
to go6 v2 t) ?  h. ^' y/ `; c- |
  ask turtles
1 j, C) x, ?+ i1 H! h1 [4 O+ U) R' a" y    [ turn-towards-grain ]  & [3 f1 J, Q8 S; A0 \
  harvest  s/ m( X* \7 _! A/ X* I
  ask turtles
. Y! S6 n7 ~" i: m    [ move-eat-age-die ]3 t' J# E# F8 X5 z
  recolor-turtles
$ E& C% j8 g' \% E/ w  if ticks mod grain-growth-interval = 0
+ I; D; B$ O6 E0 ]6 M7 j. A! k    [ ask patches [ grow-grain ] ]
' ]0 z! |8 r7 t" _   
3 Y0 {" }; f1 {  if ticks mod 11 = 0
% I- }  m9 i, q9 b5 X  [ask turtles
* m% Z. V; Z' y4 F0 @7 H& c( R# Q  [ redistribution ]]  ?8 V- d( A2 v1 u, N. M
  if ticks mod 5 = 0
/ h5 p/ @, r0 h: a   [ask turtles6 J* `1 p& T" A
  [ visions ]]
+ }0 I) y( x8 d' t* ]8 _: O  tick  n0 y, K' w  g/ v" i% z
  update-plots- s' ^( _$ g$ T
end4 J$ z6 v+ v5 H* ?( ?
to visions
+ h) a8 _$ E5 s  ~$ y7 { set vision vision + 1 8 I* y8 W5 w6 k
end
) [2 `; O# C* \8 P9 u* L7 l( C8 A- Q8 N

4 b) P) [. K* C* p6 Q+ S; k. u6 ?6 O! ~/ j- N
to turn-towards-grain  
. J* i, r8 x! T& s5 K, U  set heading 0
: x4 U1 V- @" m' \. m  let best-direction 05 O0 o7 p; l3 S- O
  let best-amount grain-ahead
& `; ]3 J# w4 S$ s3 s  x6 A  set heading 90& B( g; E- }4 M
  if (grain-ahead > best-amount)
. j! ?4 L0 a1 o    [ set best-direction 90
1 \% \* ]' u9 M      set best-amount grain-ahead ]
! l1 _$ e5 d) \  v; Z  set heading 180
6 f( O' x9 D" I4 `- h! E- B  if (grain-ahead > best-amount)
1 T7 S" m$ R. O- @$ U    [ set best-direction 180
) i. J0 X5 i# C      set best-amount grain-ahead ]
5 d* O- U. T' `& R# ~  set heading 270  i9 w/ ^4 m5 S1 Q7 k
  if (grain-ahead > best-amount)
3 G# E( H8 ]& H% M9 J! Y    [ set best-direction 270
; I: ?, y; ?5 S+ @      set best-amount grain-ahead ]' W2 n" @4 d/ s5 c8 u& {
  set heading best-direction) a5 o  p8 f  ~
end
0 g0 A8 o& m0 \1 T" m5 P9 {' p% h" v% `
0 b3 I& {5 y5 Q. J
to-report grain-ahead  8 O" R# |5 I' b% h. ^. E$ {+ J
  let total 0
5 B) ^4 Y/ f! }; |4 D- W' V  let how-far 1
& L) s6 X7 C: o( w5 {/ X- X  repeat vision
7 ~( v% f7 t! e9 S- `    [ set total total + [grain-here] of patch-ahead how-far
& b7 R) U/ H; d: R# x5 T      set how-far how-far + 1 ]; _1 W! ^% t3 u" o7 m2 \8 m4 r
  report total
3 T& B( m$ Q: dend
! F& C5 z, O5 y0 X5 v% \  u, B9 v
; n8 L) i7 D7 L. P% xto grow-grain
( R& t7 H; Y) Y  if (grain-here < max-grain-here)7 P& U, x6 _. }; g' n7 d- Z0 v
    [ set grain-here grain-here + num-grain-grown
1 S# |' P) Q* E' ?- H      if (grain-here > max-grain-here) 7 `7 S: R6 F/ u6 J
        [ set grain-here max-grain-here ]
) Q( F) i" b7 g; q5 h      recolor-patch ]
" o0 R2 ^( K! zend
: C$ w7 a3 f2 z0 q0 \: X) F$ hto harvest6 a# F) m- F/ w8 q3 f
  ask turtles) B- M+ t9 a0 O# J' P" L
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
- a' ]1 ^& j- b& W2 ~  ask turtles
$ `  `3 B3 e' c* `' d    [ set grain-here 0  m* l) z( M& r8 |" n1 F1 B8 K: [
      recolor-patch ]4 X7 K' r6 v" C
  / C: }  f/ w8 w% Y7 x
end
5 m& {+ |& Q0 M
, m) [* U2 e7 d; w1 gto move-eat-age-die  
2 D' t6 f! ^3 s8 {, J  fd 1
9 i$ M# r# ^+ ~* R: f  set wealth (wealth - metabolism)2 ]9 O' u3 v% b' i' o( R
    set age (age + 1)
% d3 R$ e5 K- e7 o; j- X! e1 s  if (age >= life-expectancy)
, d# K) O) t2 e- w& n    [ set-initial-turtle-vars-age ]" T! c& A3 F' d/ G; N) h0 e! N
  if (wealth < 0)2 T( E2 V2 Y7 C+ b# K
    [ set-initial-turtle-vars-wealth ]6 H/ j8 Z9 W. i# C) T
    , C% _$ T5 Y' U6 t) z
end/ g! w% j% L/ k3 X
/ k% e# l  ]6 [  j5 i' z8 F

3 c) ~  e2 u7 Q, f, k3 ]& cto setup-plots8 P' v# s9 j- I
  set-current-plot "Class Plot"
0 D2 P# i: T) A" J7 V2 e  set-plot-y-range 0 num-people
5 `+ R2 X5 R# ?  B/ H& h  set-current-plot "Class Histogram"6 z9 v+ s- X9 [7 R  d: c. M0 G
  set-plot-y-range 0 num-people
' }( C% j9 _3 u6 |) Z3 S6 ?end" p8 V# @; B( C; P% c
/ Q- `, q3 i5 ]+ Z+ O9 ~8 X; `
to update-plots: U' j4 Z. a$ w' r9 a8 b  v, b- i
  update-class-plot
9 g+ w; M9 \: X9 r5 K& E1 a% i6 j  update-class-histogram
1 |* j( v7 l$ F+ i; q  update-lorenz-and-gini-plots
( m, C3 W$ K+ Z0 q! Gend$ W* e1 d/ p9 E5 F# Z5 e
6 `) e( E0 D5 N$ e4 G3 O1 B) @/ f
to update-class-plot' O& e. y4 }( r; l* c) O( ]6 Y* t
  set-current-plot "Class Plot"
0 x4 V8 T3 u6 G4 s& e% m  set-current-plot-pen "low"- ^7 L& C3 a  D) y
  plot count turtles with [color = red]
1 x4 `/ Q1 ]& T5 _- T) k3 }  set-current-plot-pen "mid"
9 T+ u1 U- J) |  plot count turtles with [color = yellow]
# _% `3 f0 A, [- t" m( ~  set-current-plot-pen "up"
6 Z$ }& [% N( b7 b  plot count turtles with [color = green]
! H- S6 `. v& }: b& w! j9 `end0 x$ w% y) c" b
6 I; P' m- h5 ?, I1 D2 ]( [1 R
to update-class-histogram
+ n- f4 T1 V" o; K, S  set-current-plot "Class Histogram"5 o$ M# Z' V0 t! y$ y8 r
  plot-pen-reset+ u. q/ Q' M* I7 {
  set-plot-pen-color red4 M" ~8 [* H. `
  plot count turtles with [color = red]) c% \7 X9 J3 ~
  set-plot-pen-color yellow
) `; b% l! K. p  plot count turtles with [color = yellow]
. d; K/ G/ y9 L  set-plot-pen-color green1 N" G; p1 L( Q% q
  plot count turtles with [color = green]
$ _# B( Z0 ~+ Hend/ L3 j+ p9 v, S& B: z6 o. F0 r
to update-lorenz-and-gini-plots9 \# |, H4 d) p/ m
  set-current-plot "Lorenz Curve"5 ?7 G6 o7 P! E+ a( R; w7 M) m
  clear-plot
0 m' D& ^" k# Q; N3 h  X7 k0 Z: R& S/ L' c& R7 z  h
  set-current-plot-pen "equal"! b' G% M0 |) I2 y6 R. K
  plot 0" J( T8 M7 ~! P+ Q' m' E2 X; J
  plot 100' f# c5 P, H3 P% q8 w

6 G2 `; V  |" e, U  h- Y; X  set-current-plot-pen "lorenz"( r8 S+ B0 S- ~. f
  set-plot-pen-interval 100 / num-people4 g! c  Z+ a1 u3 e
  plot 0
/ H" W. C8 Z' X
3 C/ ~6 C8 g( u0 x1 `- N  let sorted-wealths sort [wealth] of turtles
) i5 Y7 X: s. A" E  let total-wealth sum sorted-wealths- ^7 K4 B/ `3 |9 k( A6 o6 t
  let wealth-sum-so-far 0
0 i/ j( c' l% [" J, |  let index 0
8 T8 U9 c4 ~- A9 S& i/ x  let gini-index-reserve 01 c0 b# \& N# t/ t
1 H, f6 j* A+ v9 v/ ]
  repeat num-people [2 t) m& F' I( Y: R6 q+ }
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
+ p) c' k5 v3 {1 C" F9 [    plot (wealth-sum-so-far / total-wealth) * 100( L3 ]1 K" _+ a' v. a1 u) H3 m
    set index (index + 1)% y  U" P/ ?2 ~: h* d. ]
    set gini-index-reserve
! B8 |1 T1 \0 g7 m- z/ y+ A. X      gini-index-reserve +, c! W" Y  d5 G6 m& P  L) K
      (index / num-people) -
- M7 R0 n# U, g+ _0 J: K' M7 @      (wealth-sum-so-far / total-wealth). G& b! W, v0 b" {
  ]0 N4 D! T' C: D" A

% N) j+ A, c# ~3 L5 N$ n  set-current-plot "Gini-Index v. Time"
( d( q# J. U! S( [  plot (gini-index-reserve / num-people) / area-of-equality-triangle) F4 W5 S  w6 J* X8 R% m+ Z
end1 p8 B' x4 ]. a7 Y4 l: a) r0 u
to-report area-of-equality-triangle
! W' r! k$ D2 a  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)% l  A. O  n& s$ ^$ Y3 m5 x
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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