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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; F6 M8 S7 V; G
globals. Z3 G) j; o3 N5 Y7 P$ ?, ^$ l
[! p) P1 T0 l! c* j7 s# c
  max-grain   
1 G9 ^, A0 ]' J% B0 ^( e
" ^! y0 x1 T2 l]
/ Z! {6 x( R/ H* o, c8 s( r* M8 i5 ^8 w. e$ [! @  ?
patches-own1 O* \" k2 R2 G( _
[( N0 g0 a5 W0 R: H
  grain-here      ( ^5 w* W! q7 `
  max-grain-here  ( Z& n, o7 s: j4 r
]; Z6 q9 e' D) {5 b& J  c
$ P* t0 h  f. M
turtles-own: L5 o6 a7 u" z2 ]1 g" U4 M
[0 K+ Z1 m5 M6 X$ [2 D# J# |$ T" _
  age              
2 h; E% d: I( x  wealth           |! [1 M: K7 U/ p9 O3 w. S& F: Y
  life-expectancy  0 g, H7 I1 y# _7 |
  metabolism      
* y+ E5 V7 z$ k2 l6 v  vision# U8 _; j7 L8 g/ j$ R4 Z* W" G
  inherited         7 C1 z9 ^6 G$ d& M* Y
]
" n; P+ Y; Q: o& T8 d. Z* c3 D
/ r- T1 z' M+ m/ M1 @6 U: ~+ a8 d+ f2 t" _
to setup9 e# A. Y1 Y7 h% q2 N
  ca$ H& C6 j  U& ^0 _& D% }  ~. Q; {
  set max-grain 50& q7 e- ]) G6 s- `
  setup-patches8 H; g/ J/ @* J  H7 |$ B% U
  setup-turtles$ p( ?; |, Z7 }$ n+ B
  setup-plots
1 E& l5 e" J  j/ |" }2 {( H! O& u9 A  update-plots0 m9 U3 d5 `. x1 ~$ Q
end# m7 P; n* K. C* w
to setup-patches
, h$ V0 \1 {3 a+ ^' s  ask patches
. n; H" @+ T3 G; H    [ set max-grain-here 06 a, z' H0 C6 O- I, G4 _# M
      if (random-float 100.0) <= percent-best-land
: Y  v* R$ R" y, C) U        [ set max-grain-here max-grain
& w$ c1 _+ _" p* ?- S          set grain-here max-grain-here ] ]* a2 e+ [" S+ A  M, b
  repeat 5  U$ w( n# c9 F: G$ A
    [ ask patches with [max-grain-here != 0]
$ T' u; {' J) M: R! o6 }# E        [ set grain-here max-grain-here ]1 K( W) ]5 S# ?% U% h; h8 J9 ^
      diffuse grain-here 0.5 ]9 N* p5 s, V& ^
  repeat 10" V/ E: X) c* ]8 U1 x
    [ diffuse grain-here 0.5]          ! l( p4 T1 k* U) \/ B: c: P. t8 Q& r
  ask patches
/ q, D+ z0 ]- r. s    [ set grain-here floor grain-here   
' M4 W# w# p& w  |) Z5 ?) r: ~' B" e/ H      set max-grain-here grain-here      
, w2 `. J8 j1 v0 L- M2 O0 |      recolor-patch ]
1 R* J; l$ _; q  E+ Iend
0 ]9 O. W8 M9 f+ Z0 x2 q, \. x# sto recolor-patch  - w4 @4 v3 D) \: o2 s2 [
  set pcolor scale-color sky grain-here 0 max-grain
' R+ O( j+ x5 `" Q" G+ p# gend
9 j# r) Y- K5 u% k, E! ?$ |8 G* Rto setup-turtles
$ E& s& c! i, P2 w" v  set-default-shape turtles "person"1 e2 m9 D$ l; k5 R* Z  o9 B( p+ b
  crt num-people
. F8 c, u6 }9 K2 p$ z. Q    [ move-to one-of patches  ( }1 d, b- x& D- p
      set size 1.5  
* v  v) s/ s+ N2 _2 T6 Z: I+ W      set-initial-turtle-vars-age
# `8 n+ X' E' H! l      set-initial-turtle-vars-wealth
0 `  S# I( `7 ~/ K; L      set age random life-expectancy ]
/ z# `3 N/ L! H9 |9 f, A  K  recolor-turtles
6 N* N) r- M$ l2 |+ m1 l; Oend
/ x( b0 ]2 `; N. a7 X/ V6 X6 U- g
to set-initial-turtle-vars-age3 C: Q; Z1 R) `9 D# r. h  ?
let max-wealth max [wealth] of turtles
& E- e9 u/ B. l- ]2 K* S   
  A2 ^0 W9 C; g7 l2 }  y  d     ifelse (wealth <= max-wealth / 3)' q8 W- l2 W0 a& M" U
        [ set color red
5 K- o* M1 C8 n6 f          set age 0
7 N1 o- n. d6 o, E; }7 r1 P) I          face one-of neighbors4
$ [2 f) v" c- V* J          set life-expectancy life-expectancy-min +
0 X" [, E0 m* M                        random life-expectancy-max
' x6 l- c' M4 V2 v7 o' t          set metabolism random 1 + metabolism-low- O0 D5 U" V) C; Q5 z# V
          set wealth metabolism + random 30
8 r3 k: t3 d9 @( x+ X. A          set vision 1 + random max-vision
) U8 ?0 W4 S$ |9 b: R$ {9 t             set wealth  wealth +  Wealth-inherited-low ]" m) }' s7 e7 Z
        [ ifelse (wealth <= (max-wealth * 2 / 3))9 @+ ?& b# b/ ]; s4 U* m* ~! o
            [ set color yellow
4 g& D, Q& e9 X" P: [4 J              set age 07 S1 f( k8 [/ N
              face one-of neighbors4 & M0 f% t% E& i: t4 l! Q' y
              set life-expectancy life-expectancy-min +
/ d$ g. K( ^+ {& s+ W$ [& H                        random life-expectancy-max + 1
! n+ l: g1 M* m( X, K6 e              set metabolism  1 + random metabolism-mid
9 \6 R# p# _$ X1 Q, t$ C% T              set wealth metabolism + random 30  D( e$ t4 b. Y! a. _
              set vision 3 + random max-vision3 `" }- v8 o( H$ C/ m% `9 |1 ^
                set wealth  wealth + Wealth-inherited-mid]
9 c, {" ^" l) u# R' R            [ set color green
" F! k, d9 v& F% j+ K" c              set age 0
: [( ]0 \. V% N  J5 j. E( S              face one-of neighbors4
' Z  Z$ a, f/ [, g) q& z( l              set life-expectancy life-expectancy-min ++ V, V9 {8 }3 V6 i
                        random life-expectancy-max  + 2
% n  l+ X$ q; H- |8 ~' v( U              set metabolism 2 + random metabolism-up' t1 V$ p; V$ S( I2 [
              set wealth metabolism + random 30
0 q, _2 u0 P( E, Y5 U              set vision 3 + random max-vision0 C2 M7 o) {! v0 g: w& V+ G- i& L
              set wealth  wealth + Wealth-inherited-up ] ] % t  I9 U# d$ Z7 W

7 y' A( ^$ X( Q! S/ `end
+ ~- @6 u! S# sto set-initial-turtle-vars-wealth
# ^1 p" R6 ?( U3 c2 G let max-wealth max [wealth] of turtles; [0 u! {! M: ~4 }  N: C4 C
          set age 0
6 ^9 [2 X; j1 E2 j  }2 a          face one-of neighbors4
. j" ]4 {; W  z- t( ]* |          set life-expectancy life-expectancy-min +; ^5 |) r1 t' C
                        random life-expectancy-max
  F  Z+ K" f) X: F; ]5 H6 _6 e8 [          set metabolism 1 + random metabolism-up
, {3 q( B' Y* L          set wealth metabolism + random 30
  |/ A& F1 ~9 V, ?8 `9 t9 ^) |          set vision 1 + random max-vision 9 l! p1 J# e+ e& }. Q8 b4 H
end
6 G  Z7 K+ b& k+ O4 P; u( Wto redistribution
8 M- _# m, z8 }let max-wealth max [wealth] of turtles
  M( @: @7 n) R  ulet min-wealth min [wealth] of turtles8 A! T/ W  M9 W  ^. @
if (wealth <= max-wealth / 3)
8 W! s3 _) e3 |9 K( Z, K8 j [set wealth  wealth + Low-income-protection ]
# }4 i% u) l  T: m/ |end4 d' Q0 W( i+ \! {& i& G
          7 b5 f( C$ v/ J0 D
to recolor-turtles
# {8 S" L/ I# m& I3 g, Z6 x  let max-wealth max [wealth] of turtles
1 S7 n$ H5 W) b: L3 f( g  ask turtles
5 R: \* O- ~/ n3 C8 v* z- [" Y   [ ifelse (wealth <= max-wealth / 3)* y3 J1 j8 T$ Q# Y6 y3 \0 B+ e% `. J
        [ set color red ]
: B; K& b9 j2 E9 ?% ~) _; X; M        [ ifelse (wealth <= (max-wealth * 2 / 3))! o# Q* O0 C+ d2 D( k  a  v4 i7 s; e
            [ set color yellow ]* o. M0 m2 o6 E8 ~! Y4 W$ [0 p
            [ set color green ] ] ]- D1 l4 k4 R" ]) Z" w
ask turtles [ifelse show-wealth?2 N, {1 s  G: Q4 {, p
    [ set label wealth ]% C. R$ L7 S& p; z2 Z
    [ set label "" ]]- j9 T4 j& d5 ^; y: a1 Z
end
0 o# }: t: w( u1 W, r; \  C5 [1 s, Z, T) S6 ?# y" h
to go, w) B# c$ N) `$ V  y* M
  ask turtles
' u1 n$ T8 l! H  r* T0 K    [ turn-towards-grain ]  7 m& t/ k3 y/ n" B& o# S* Q
  harvest+ u2 W2 I) }7 |
  ask turtles
) ]+ k4 T( f% d* j0 P) H    [ move-eat-age-die ]7 |( C* f& w, p+ ^1 U$ s" z
  recolor-turtles. B$ `8 m  y6 [- u) S
  if ticks mod grain-growth-interval = 0
" p: i9 ?8 M$ B; b3 q) P# w    [ ask patches [ grow-grain ] ]
" C9 J# |, E$ d7 f, H8 ?3 _" Z( K   
* r' F' \2 r: C* x  if ticks mod 11 = 0( C- S/ ?! R5 ?$ t. d" v* C! _
  [ask turtles
! G" x! a% m' I: K+ i+ d  [ redistribution ]]8 ?- N( U& B! F+ i/ G7 T, [
  if ticks mod 5 = 0
* A9 [$ q+ ]2 i- C9 O   [ask turtles) l5 B& E0 V( {7 k. l8 `- U: ]
  [ visions ]]
' j  g( ~6 Q; |, a  tick+ k* s1 I" |9 I: y3 n8 C& c
  update-plots
' z5 l) L2 ]0 Q' g" \) Iend3 [) L2 Y% }+ m" w1 \2 p
to visions: B! V$ |/ j. F, y4 y
set vision vision + 1
, `9 y4 |# K0 ]1 i3 V+ \end
' x. |% k5 s) x1 X
  T( H- H# f7 z
- Y+ n! K  h" g& f+ w; p0 h% m, F( {% A" U
to turn-towards-grain  : D' G4 N5 V# G9 l5 G
  set heading 0
3 s' {1 A( ]& F9 `$ c8 G  let best-direction 0* w; Y& U: z% i, s( a/ q& B
  let best-amount grain-ahead  R4 v* L8 |0 |: X+ E' l) `) `
  set heading 903 F. `( u: l2 P2 }6 W3 c
  if (grain-ahead > best-amount)
% W6 s# k: P8 i) T) ]    [ set best-direction 90$ l' @- M. P9 W0 @8 O
      set best-amount grain-ahead ]
! b/ o5 b2 l+ ^8 ~6 e  set heading 180
1 k! l+ `# N) O$ Z2 q  if (grain-ahead > best-amount)
0 f3 r: {+ A8 i0 ~    [ set best-direction 180
5 {* O. T  s- O. y0 `; [0 V      set best-amount grain-ahead ]6 N* U* j, [; N* a0 T. N$ D
  set heading 270
9 t# a5 A! m- E' r% e& g# I$ I  if (grain-ahead > best-amount)( {: F) P* Q2 H+ h8 a. x8 S
    [ set best-direction 2708 S* [$ S5 Y- A1 ?6 }
      set best-amount grain-ahead ]
4 P1 Y- R+ R8 b: _  set heading best-direction7 A- q% D3 {" I, {3 g
end/ n8 }( T! _/ a

/ Q4 p' J# S1 F! B2 m. d& W
( A  a) ?% U! T  Jto-report grain-ahead  
, T5 W! q0 k* ]5 r  let total 0! o! B' A$ ^3 F6 ~$ S2 ?* T
  let how-far 1- a; |3 {6 ~& B% v: \: [3 y- w
  repeat vision6 Z' O  o+ Y& R+ r3 h
    [ set total total + [grain-here] of patch-ahead how-far
5 D" |6 p' h9 d5 p7 H      set how-far how-far + 1 ]
0 ^/ j- m( R& H( V  report total
  m  T) l, E( X- ^5 s$ ]end! f1 W. ?$ C+ Z$ L) E* ]9 U
, k/ p0 s0 I& x2 @9 r1 \
to grow-grain ; I% T+ t8 I3 ^! ]& |
  if (grain-here < max-grain-here)% [2 N1 r7 q9 Q( D+ i
    [ set grain-here grain-here + num-grain-grown
/ x" K! F' d' j3 n      if (grain-here > max-grain-here)
) L. ~* h  a9 H% ?" }9 J        [ set grain-here max-grain-here ]
1 H8 X% |6 K+ w+ [5 h# F      recolor-patch ]+ f) H% P/ Q* j3 Q
end
7 L1 M; `/ M( s# o4 u% R: B* Gto harvest
6 B1 }& J' ^/ A: N' Y; g! W  ask turtles& u5 t& |$ S" S: p
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
0 V/ }! m0 _% W$ b2 P  ask turtles
/ G) O. r  W3 |. I  ~    [ set grain-here 0
( E7 @. q" r  F+ N, u# W" u      recolor-patch ]
! l9 F- ^& Q4 \1 z6 n2 \. p$ J# f  / k( @) f8 ^7 S% X( Q2 u9 T3 R( {
end) f2 s2 ?& c4 y

- F& ^1 W& \6 b+ X1 d: _$ T# S7 Ato move-eat-age-die  
: p3 p' y, z0 }: ^  fd 1
1 K, F+ J0 R/ ]/ |1 [: @  set wealth (wealth - metabolism)$ r- h- w; X+ u  |
    set age (age + 1)& I% C$ E  |, o* p% A
  if (age >= life-expectancy)' e$ i' k" T# g" \
    [ set-initial-turtle-vars-age ]
8 ?! C- j$ p* j4 _  if (wealth < 0)' C0 H) g& \$ ]7 f5 L9 ^' g
    [ set-initial-turtle-vars-wealth ]& p) D4 P+ r  o; X" x9 U: h
    ' Q% ]$ J( a2 K$ l$ o+ A: i
end) C, t5 m% K* Y5 s

" M1 I$ f' ], @* b; Z. B4 X0 q3 M6 ?( n# ~+ l5 o$ f% R+ O
to setup-plots
( F1 w! g& p( z& c  set-current-plot "Class Plot"
! z4 x- p) T' H* s# U  set-plot-y-range 0 num-people$ S( B9 f6 D8 z9 |6 }# m  U
  set-current-plot "Class Histogram"  U/ f! Q' u1 ], n, g0 {6 Y
  set-plot-y-range 0 num-people2 E, A  w5 m& L; l# Q
end. }0 E/ A5 e4 ~% ]

6 M2 X+ o! p4 d1 C4 p8 mto update-plots
" N" }" _5 L9 \6 K  update-class-plot
4 O: V8 V" H  P$ e6 e1 E8 N  update-class-histogram3 P( Y3 Q& Z+ g% ]8 D, P& t
  update-lorenz-and-gini-plots
# L: k5 J9 h$ ?# Q! c$ ]end& V" F+ }. V4 z8 ^4 p

  Z: p  |; h* L$ Z7 z5 Xto update-class-plot( l1 Q# Z8 {7 ^2 _# a3 V
  set-current-plot "Class Plot"1 s2 K, S5 _9 `
  set-current-plot-pen "low") `0 b: V1 W) G$ d! S/ f$ w
  plot count turtles with [color = red]9 k, ~3 r3 B6 Q6 {+ h
  set-current-plot-pen "mid"
. K, ?: q4 ^0 n" @  O. C- D% w  plot count turtles with [color = yellow]# ^* ]* j4 O- C6 Y' i
  set-current-plot-pen "up"* R3 f  N9 `% e" P- ?9 f9 t
  plot count turtles with [color = green]
# }. W9 n, w0 Y8 M/ }" qend! ?8 O$ O7 n6 A- L5 W4 o5 Y1 Q; A

$ K: e  k; v7 F- h8 qto update-class-histogram
) {0 i, T; X6 S% v, v$ B( C  set-current-plot "Class Histogram"7 C: Z% x/ N- T* [+ }9 d. q
  plot-pen-reset, s; F( }% T, ~2 ]& t/ O
  set-plot-pen-color red
; G" i# ~) H6 u% T* y; P  plot count turtles with [color = red]
4 h3 A* ]3 k, w  set-plot-pen-color yellow
9 B! d" K. l9 d  plot count turtles with [color = yellow]9 t* K1 H' S5 a3 q
  set-plot-pen-color green3 T2 }5 o, O- r' `0 v
  plot count turtles with [color = green]
0 L2 E! h! ?" D! vend
* p' J+ n/ J* ?6 `8 \3 Xto update-lorenz-and-gini-plots
7 i( j+ r6 Y$ s) a) B% B7 s6 }  set-current-plot "Lorenz Curve"
7 ?9 Y# g# i9 U3 H8 u# O. P1 x  clear-plot
; L1 E: i3 k3 M8 s7 l! t: }3 z4 Q' p8 o+ z2 z
  set-current-plot-pen "equal"
: ]& `+ X4 g2 h7 R  plot 0" d: l( R6 F5 |: r  Z
  plot 100
/ }6 A& A+ s0 \+ z. H3 y0 O9 \& y0 w1 @# v2 L/ L# _8 c5 [% [* |
  set-current-plot-pen "lorenz"% |( l$ @# w3 N1 t7 q" _  T2 r
  set-plot-pen-interval 100 / num-people
. ?3 I; W. Q, _, j. ?9 v: g5 O  plot 0
0 k3 b' \: S% g$ ?+ J, r3 }5 M7 i$ ~* c' z4 |( X0 g  K
  let sorted-wealths sort [wealth] of turtles
: y; C! |. s4 ]* ~) p+ G1 C  let total-wealth sum sorted-wealths
( [# B  @2 y/ V/ T( d, \" v+ _  let wealth-sum-so-far 0+ ?) Z( I. A% R5 O" l
  let index 0
4 u! _: u1 P+ B8 }) C5 M8 j% e  T: d  let gini-index-reserve 0
0 I& K% [) @1 g+ J/ q
. A' w5 O( a& b; F. \; n/ D  repeat num-people [4 F. ~$ |% u. H* G+ j  x
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
& `/ P6 i1 [3 x    plot (wealth-sum-so-far / total-wealth) * 100
: x& E! `" a. e    set index (index + 1)
/ P4 ]# j8 O2 z4 X- z3 Q( R. [    set gini-index-reserve
" X6 |5 Y/ |/ H      gini-index-reserve +& x# h* n. w5 v( F$ Y0 m% _
      (index / num-people) -6 X$ c4 ]2 S- m, r8 L0 Y! u
      (wealth-sum-so-far / total-wealth)& M5 n4 }' u  J! V
  ]: r! C# Q1 L/ j3 m/ V+ i- a

# \3 q9 U$ x; Z. L) H5 y. M  set-current-plot "Gini-Index v. Time"
0 R4 S+ l9 I- I* A  plot (gini-index-reserve / num-people) / area-of-equality-triangle. R3 g# B. a" p8 k
end
, ~# j% n' p% i& [( t+ Eto-report area-of-equality-triangle! E' p( E' z9 B
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
9 V& ?0 Z5 J4 wend
 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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