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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( A0 O, u& ?4 d, O# wglobals
, `' d9 o$ N5 ^8 W) z- D. f* R[
9 q4 N0 R: x# F) A  max-grain    7 U; _; j0 d1 x& ?( V: V
/ N9 W% G4 b3 b4 X9 |) G
]& G1 Y1 l& j1 c. l

' s4 u7 G5 O, z  Q1 ypatches-own
1 s2 b7 a, d1 H/ D* x! C[! @! ^* ^4 \. j8 r! ]! e) l5 z
  grain-here      
* R& o2 b* `, {+ F& w! ?  max-grain-here  6 b; ~( N- S3 k7 M
]
0 X! R5 ~- k  C2 w& [( z) W
: G3 @  s6 _9 U" D% D  r5 j. cturtles-own$ S* K- T% Z. M& {9 z) W/ p2 p/ x
[
( w  y$ m+ e) G7 ~. @7 U  age              4 y' G; \! l5 p( d; c
  wealth         4 o3 E2 ^+ h1 z& B
  life-expectancy  6 S9 ^8 g) r! O( B/ R& y
  metabolism      
/ o6 M% u2 C# I. C  vision
& E/ i' _$ T* n' }. \, B  inherited         
. f/ U- s. {7 ]! t9 O5 b) b]
9 I, D' M* e" ~# {6 y5 `" ^( e. q) C( [% A

" t" w* e/ n5 C6 U9 t" D' Rto setup
+ {7 {7 s( i1 Q2 ]; X/ }+ U$ f* `  ca
; R2 Q. V7 w$ z% \  set max-grain 50& l; C8 B4 c. {( I
  setup-patches
8 Z3 s- e) l* o3 G! F" s2 Q' h  setup-turtles
$ A6 \3 `$ I% i$ B# c  z$ w& l  setup-plots
: `: F) n0 T. p% i* ~8 Y  update-plots
; d3 A. |* w% Q2 t0 t2 {end7 s" G- e' Z" B, y: z8 k
to setup-patches
% y% {8 O2 V2 {' g: r  ask patches
+ i4 m: w) e' j9 j0 E: d8 R    [ set max-grain-here 0
- @$ N$ N1 S$ L" F5 \) I      if (random-float 100.0) <= percent-best-land8 f0 j, ~* v) q' P
        [ set max-grain-here max-grain4 q5 v0 s/ t. R
          set grain-here max-grain-here ] ]" l2 B4 O/ J$ t2 z; a
  repeat 5
) z6 X8 O% _' u, ~# h5 \    [ ask patches with [max-grain-here != 0]
; v$ A- O6 ]6 w' N        [ set grain-here max-grain-here ]! ^- m; K9 G# x5 d- C) d
      diffuse grain-here 0.5 ]4 h8 O; V( n2 s! J( z5 z* l& D' E
  repeat 10; z. ]& J( C2 v' @9 e+ H1 ^7 g
    [ diffuse grain-here 0.5]         
' Q2 s6 x% s; v4 B  ask patches
/ L) L) Q/ ]# m5 X- D0 Q, ^+ @    [ set grain-here floor grain-here    - g* P' k( K$ O2 X# e9 H- P
      set max-grain-here grain-here      ! C( D: ]/ D2 i0 C. a) v
      recolor-patch ]$ f5 i* O( n9 c+ h$ U9 G1 L
end" i$ E# }' n' W4 H2 y0 b* Z  Z
to recolor-patch  
: d: n' }! p5 X& W1 g  set pcolor scale-color sky grain-here 0 max-grain( g, r  t4 q5 Y/ U0 A5 Y2 w' r3 N
end. o  w* p2 Y" v* ~- q
to setup-turtles
; q: [$ J0 R- b  set-default-shape turtles "person"% _/ r7 h5 L* j$ [
  crt num-people9 y$ e. o+ C2 }4 s' ?4 H
    [ move-to one-of patches  
7 E. y( C% z8 d3 q) e6 v. `$ Y      set size 1.5  4 F  A& L& k+ a2 X- `, n# E. ~
      set-initial-turtle-vars-age
: P. _* e0 l+ V) B- [) B      set-initial-turtle-vars-wealth  T6 l1 v, d( r; d$ n3 g7 F
      set age random life-expectancy ]$ D9 X! ]2 w1 J& [
  recolor-turtles1 G) `) z" }$ x' ~% G5 s
end
; J) z/ w) v+ }# o3 [6 P
! C2 j$ x: z" g9 Y: [. u2 \/ x: Uto set-initial-turtle-vars-age
# U! M! B. V, r! a let max-wealth max [wealth] of turtles- t! B' a: p  \) K+ B" g* X: {
    6 |6 E+ T$ |+ R1 z, T1 \
     ifelse (wealth <= max-wealth / 3)
; z5 z2 X9 F, G3 F  k! ]" D" K6 r) Q        [ set color red
- f3 I. G4 N2 [% \- D) j          set age 0
. S  N8 u* o, m/ |/ ]# X; {4 `          face one-of neighbors4 ' R+ R  I! ?/ `& Q
          set life-expectancy life-expectancy-min +
$ c) s0 w& r% Y5 J5 s                        random life-expectancy-max
% B. O. \6 v4 p$ b          set metabolism random 1 + metabolism-low9 o% H& T& t, L* F$ j
          set wealth metabolism + random 30
! Z7 n$ S7 g5 s0 ]% p          set vision 1 + random max-vision
- P/ J0 b% I8 E9 s             set wealth  wealth +  Wealth-inherited-low ]
  V5 m4 X& o- Z7 R8 A        [ ifelse (wealth <= (max-wealth * 2 / 3))# p* V9 D' ~  J  M( ~
            [ set color yellow
1 V$ S& g4 j/ ^+ ^. o              set age 0
& _4 K1 z; O; x% a) ~( x              face one-of neighbors4
6 q9 R. a1 e. O              set life-expectancy life-expectancy-min +- ?  P% Y# c' }
                        random life-expectancy-max + 15 ^, \# }4 j# Q( O$ d
              set metabolism  1 + random metabolism-mid( C  ?+ n6 ~/ s7 d1 B  b9 {
              set wealth metabolism + random 302 o7 `: H; u+ Y: t6 O: ?
              set vision 3 + random max-vision3 {6 F0 n- x: s$ L
                set wealth  wealth + Wealth-inherited-mid]
2 P) A4 n! P* a2 N            [ set color green 5 y6 A# U- C6 y, `3 K: T
              set age 0  h, S0 _8 ~( t* x* e, n! _' [
              face one-of neighbors4 % t! D+ h. ]9 @* P
              set life-expectancy life-expectancy-min +
0 g: w% @; W% O( x, \( c* K                        random life-expectancy-max  + 2; L% Z2 L. W. @  Z/ M, j- @) f0 k
              set metabolism 2 + random metabolism-up. ~3 H- j, D/ {. {, W+ C! \
              set wealth metabolism + random 30
& I7 G' Y: c+ G  `& P5 ]) F              set vision 3 + random max-vision
5 z7 x, n# [: j$ s! |3 K, P# i% V              set wealth  wealth + Wealth-inherited-up ] ]
3 O: |- \% E9 `0 G9 i3 D8 O2 C; T) B
& d4 B9 x2 j' A/ ]2 gend: e+ @5 a: O6 f( q: J
to set-initial-turtle-vars-wealth
$ x6 W' o+ l6 i( r6 M4 f let max-wealth max [wealth] of turtles
9 f- F3 L, h: X* X3 s          set age 0
) T, Q1 ^& H. S          face one-of neighbors4 ) s, q, x# H3 K
          set life-expectancy life-expectancy-min +
8 A+ u6 U- h: b9 Q3 f& h                        random life-expectancy-max 3 B% q6 {& o" @: z
          set metabolism 1 + random metabolism-up
+ r( S6 }# i$ M( h" ]9 S) Y          set wealth metabolism + random 30
9 i$ S, a3 q  }' F* F! m          set vision 1 + random max-vision
$ o  _8 b" D+ Q* A1 B* P: u% V7 @end% Z+ M5 x! u  w# c5 B* ~
to redistribution
9 @7 ~+ P) H3 w9 }7 [7 p* x' Glet max-wealth max [wealth] of turtles6 v9 Y/ [4 ?- F8 R8 ^
let min-wealth min [wealth] of turtles5 T6 b2 X3 y7 Z& V" \8 }
if (wealth <= max-wealth / 3)" B) u7 J+ F: Q# y- N2 W$ p# D
[set wealth  wealth + Low-income-protection ]
- Q2 n2 _" C- }" q1 E% C. V) Kend3 O! F' f; i' p. \- I
          ! K2 t5 w# g( W9 o& D# W
to recolor-turtles
, ]' O0 @' P: l  let max-wealth max [wealth] of turtles; V: f* w& u. w; d6 q! E  N9 q) D
  ask turtles2 k* N4 ~: K2 T- I) _- t/ f' d; v$ X
   [ ifelse (wealth <= max-wealth / 3)
6 V! {/ S8 E3 V5 M; r        [ set color red ]
3 c* b9 U7 d! E4 o  @        [ ifelse (wealth <= (max-wealth * 2 / 3))% A) k$ n4 A9 b! X4 `  s
            [ set color yellow ]
+ Z  A( A2 l) t) u, `            [ set color green ] ] ]
  a0 V0 o% Y; P2 i2 [* } ask turtles [ifelse show-wealth?) t& N8 P' l; W! Y* Z) N- g
    [ set label wealth ]
% M8 b6 b* U9 `! |! l    [ set label "" ]]/ W# R4 g! W' r# o
end
3 m7 o2 q5 j' Y/ k7 o, C( U8 [6 t5 d$ R* k& D1 k
to go
! R1 t+ Q. h6 \  ask turtles# L9 e, E8 L& H6 R* J9 u( R) r
    [ turn-towards-grain ]  $ ^$ `% x) V; o# O) x% [$ ~" y$ L
  harvest9 p9 g% V- a$ @1 K% Z; U
  ask turtles
. D* P. W5 r2 T2 X5 s4 L    [ move-eat-age-die ]
' o9 V& p- Y7 i, n- k  recolor-turtles
) k( Y, O, i5 N1 j6 K  if ticks mod grain-growth-interval = 0
6 a" o- S( }: p/ k2 A0 W    [ ask patches [ grow-grain ] ]
- {3 B" X  |( ?  T; N: O* @. T   ( T+ _# w) T1 o! q
  if ticks mod 11 = 0
3 m' K( e: G5 E: m$ O  [ask turtles& n, i2 r& J$ H
  [ redistribution ]]
! |* _( M8 F1 h# j5 I$ T  if ticks mod 5 = 0
7 U2 d+ K" K; v) z* T# Q  p/ A! r2 I   [ask turtles
* L% y0 i# V1 ?% }( z7 B* T  [ visions ]]6 t- h; l7 s5 Y7 D
  tick
! C' P/ O* H" ?. D) P. d! Q( k  update-plots
& y) r: T# F$ X+ k" u- O9 Mend
0 X4 T$ L7 S" w8 P+ _+ hto visions
5 ^; P% |' v4 J# _* T set vision vision + 1
  a) u4 C2 V' Y) P6 uend4 @! _0 v; Z) ~
; H/ b" u- S) Q% C; b2 N- ^

- C/ N) Y& P; H6 l" G* B! k: C! `/ c. |' i& ^
to turn-towards-grain  # B; _6 _' D# Y% ]& `# X; u8 O' J
  set heading 0( B0 ?- j1 h6 h  C* B) S4 F  D
  let best-direction 0
. Z5 A3 p' y( L9 ?2 o  let best-amount grain-ahead
6 V! P( x/ z0 X! f' I4 ~" M  set heading 90
  p  c2 n9 Y2 ]) |$ H/ k; O7 g  if (grain-ahead > best-amount)0 w' g, p2 p1 y% a
    [ set best-direction 90
( E8 B4 Q8 e! I2 g! D' Z      set best-amount grain-ahead ]
  L9 o& k+ I( S3 j- T6 ~) e  set heading 1801 d  ^6 b! |' v  j
  if (grain-ahead > best-amount)4 w3 K( y) m4 Z5 C, [. _9 x
    [ set best-direction 180
8 S- _0 P9 C1 ^6 L      set best-amount grain-ahead ]
6 W: t* z! y- t0 ^5 L  set heading 270
: H4 u- v- W  Y+ x  if (grain-ahead > best-amount)' H8 T3 X, ?( D$ M" _0 t5 N
    [ set best-direction 270
, Q: X0 z% {. q+ a  ]+ S      set best-amount grain-ahead ]& t% a! f  Z: V. p( Z/ _0 L% L! n
  set heading best-direction
" M/ j. R6 `$ T0 Q2 x5 jend1 e+ w6 v# ~4 K4 l% P" Z; L+ _
# W; x3 i) q. x/ h- C
" |* i; n' ^, q2 u. G
to-report grain-ahead  1 T' C( E5 l1 G
  let total 01 h$ \0 y2 j3 X
  let how-far 1
* q7 a; Y  s- S; V  repeat vision
! C; P; U- K8 e5 t' g    [ set total total + [grain-here] of patch-ahead how-far, x5 d8 x; o* S2 E
      set how-far how-far + 1 ]/ {2 k) K- ]! F  p2 i
  report total; X8 e! R/ ]8 a) ]) |( Z, ?
end7 H8 l$ S  V0 @
+ h. l. y5 @# _4 Y$ v
to grow-grain
, F7 C. G+ |5 d  if (grain-here < max-grain-here)
  f9 Y2 s- S! ]9 Y( w    [ set grain-here grain-here + num-grain-grown
" D7 h; x' }7 P( N      if (grain-here > max-grain-here)
8 b& Z! }, m6 v4 i3 o        [ set grain-here max-grain-here ], t0 l% K: o8 X7 U1 Z
      recolor-patch ]
/ k# o( k$ {3 A7 p1 k* a4 {7 j/ Pend6 V; f1 M8 R7 [8 n2 \3 h# d( b
to harvest
+ N; }4 V7 }, l! ]) x  ask turtles
, F9 x7 W* V1 b) C& E# e( B  }2 z    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
$ D4 W% U1 M9 ^% T8 m% Y  ask turtles! y  I! c3 x2 s' A$ h+ @
    [ set grain-here 0
- i  W  d' Q/ @+ d' @8 [) h) i8 h      recolor-patch ]
' h) B0 P- H; I: E  : @' {7 @/ n/ d( F0 s
end# m9 u8 U4 J. Z$ h0 S
% s" u; j' P+ A6 _0 H
to move-eat-age-die  ( \  k% O  A. o0 i
  fd 1
, d3 p9 @) [7 C5 f  c  set wealth (wealth - metabolism)
6 }4 O6 }5 v- l/ ]9 z    set age (age + 1)
$ f0 X8 C0 |" U  if (age >= life-expectancy)( I4 l; I7 D* k
    [ set-initial-turtle-vars-age ]% V* A6 t( |, |* }
  if (wealth < 0)4 m. o, U$ y- H& A0 w/ [
    [ set-initial-turtle-vars-wealth ]
3 r8 z8 O1 R7 Y# [% k    ( q% n- y6 t1 f, d% X
end1 R. s, z7 I: {8 W0 J. _

4 K, e' ?" W. }& ^, T# C  C! k, Z  l$ H
to setup-plots
6 P6 r$ D, \( l  set-current-plot "Class Plot"5 E9 n8 t1 M+ \/ B2 y, g- d4 e& d: k
  set-plot-y-range 0 num-people
7 ]' n1 G. I- e- ?1 c9 g  set-current-plot "Class Histogram"
5 Y4 Y% Z) p* H; h# o- ~+ m  set-plot-y-range 0 num-people
+ P& l( I9 G- O  _+ h' eend
, k: i  f6 j# U6 A. r% m6 Y6 I' E' I# t4 z% @- B
to update-plots
# n  n; J5 z4 o  update-class-plot
  D8 O* h( d* x7 h  update-class-histogram& b/ S4 n5 y' R/ j0 d$ l) V! c
  update-lorenz-and-gini-plots3 P* Q1 P$ l# I- l7 u2 G
end
$ w1 V3 Y4 G6 \4 z" [
1 j/ [& L1 V5 d) j6 Bto update-class-plot
/ f$ X' r5 e" D' Q  B7 Z  set-current-plot "Class Plot"
6 ]6 \, q2 ^( Q8 R! B: g6 V. z  set-current-plot-pen "low"
7 S3 ]  U( X" C  plot count turtles with [color = red]
0 T- H. J% E, f0 f4 p- B  set-current-plot-pen "mid"
# J# J3 b* Z! X/ Z  plot count turtles with [color = yellow]
  q0 R5 p( j1 L  |& t% G% u  set-current-plot-pen "up"
0 q2 W1 G! @2 D9 d( j4 f  t  plot count turtles with [color = green]
0 }( r, j8 q4 v/ o2 K, O: W8 kend' s' o7 J# a+ i7 i! k6 N3 \

$ }# O' X% `2 R& @; \) t$ fto update-class-histogram
1 A5 }) Z6 b2 i8 X) t& R  set-current-plot "Class Histogram"- o3 \7 F, L8 T5 p  B
  plot-pen-reset
3 T5 {: N4 m# p: B# k6 J  m% \; D  set-plot-pen-color red: }3 ~$ e2 C/ u0 j$ \2 _
  plot count turtles with [color = red]& P; O5 g( L" r3 p& c, c8 g( i
  set-plot-pen-color yellow
5 u+ M; @5 d* d+ O% z  plot count turtles with [color = yellow]; q* x7 t% z  x  v4 j6 o
  set-plot-pen-color green6 _7 ?( Z1 i3 O% s( _5 H$ s0 d
  plot count turtles with [color = green]! X# e. ~2 }4 A* x5 k' \
end
- m. D% {4 Y6 M( z# Y' v, Nto update-lorenz-and-gini-plots) f- b# m0 B. P/ E2 Z% w! u0 J
  set-current-plot "Lorenz Curve"
+ O& E0 w3 _" B5 s  clear-plot8 {# a) ~. L3 i# y+ V" p

! p8 @9 i. ]. B3 F  i) z, Q: _  set-current-plot-pen "equal"" y% O( b: m* m: Y
  plot 0
0 A8 u5 B. @  I4 ]* R  plot 100
/ I, V) b* b8 o; T/ \) @
$ h7 e$ h  ~  m9 k: g& k% H$ f  set-current-plot-pen "lorenz"
: {6 ~* T+ s4 c, w6 t" o  set-plot-pen-interval 100 / num-people
( _' {" q! [# f" D# p  plot 0$ Z: M+ L! [4 ^: V  g* s
$ }0 W6 h& r0 e' M, E! ^" o( J
  let sorted-wealths sort [wealth] of turtles+ G; p- h0 x7 [+ `8 d9 G
  let total-wealth sum sorted-wealths0 t8 |) G# E! I1 [2 e- S/ H
  let wealth-sum-so-far 09 r/ l0 i. V4 v# C7 f, j# G& h9 B, k
  let index 0
- [# i7 r% C( n, h) a' r  let gini-index-reserve 0
/ z* N2 x/ ?% I' ]; e9 e/ k
* c' B. c5 w1 Y7 j: ^4 ^: Q  repeat num-people [+ m. R& u' L) D) }4 ]/ ?
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
9 L( B1 C+ G# v9 t    plot (wealth-sum-so-far / total-wealth) * 100
1 U7 j9 _( s- m+ v    set index (index + 1)
! \) C3 o% k- q) A& d    set gini-index-reserve
4 ^* q4 |- q% c      gini-index-reserve +
" H1 L+ z" m* R  B/ m$ X7 R      (index / num-people) -
2 M, J  G" ], B! j( R      (wealth-sum-so-far / total-wealth)
$ c# ?* `4 G. o8 |  L1 N- W  ]
" ]* T$ Y+ L9 n3 u. X
7 F' V* r0 G' }5 k  set-current-plot "Gini-Index v. Time") H5 K7 _. c# L+ j' a
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
: F4 j" E/ {/ W/ z& R: Rend/ F0 _% v7 |. `6 i) A& i
to-report area-of-equality-triangle
- |9 T/ b! P$ u/ V( l( A( ~  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
6 F3 P( z. C/ {( B! Y: F8 ?& xend
 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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