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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
/ ~' L- W& _: f( Rglobals
# F) K- m( i+ A  V' G0 P[8 p6 U& G/ p$ n6 Q
  max-grain   
# t& ]& o/ h$ m: \' B' Y; O% z9 `. c
/ Q4 f9 z* A8 K1 J]
2 a6 Q2 d: H. j% i
' P; R! C7 Z0 E* I  i1 g* s- R) N0 Mpatches-own
' S4 T& B+ x. ?2 n6 A/ f[. P& A1 x- E5 A
  grain-here      
& Z# [8 n0 O- ^& [  max-grain-here  
7 V. j' P! K0 R]* T( F2 m9 Z4 l$ @2 ]
' c# v! P- W/ k8 ?
turtles-own
# ?/ B" z+ Q4 G1 K+ Q( P( ]. z# k. C[) ~$ Z* i& Q) d8 w( L1 M  x! u& C
  age              * }1 Y# ^  U( @. R- e- ]
  wealth         * Q/ V- @; I% s  ?: I6 Z
  life-expectancy    u: f  \: p8 k/ ~
  metabolism       : N$ h( j1 }, }" y( ]
  vision1 [8 Q1 L, X2 S8 M. f
  inherited         
! o9 }+ B3 T+ }- k]
9 K* ^0 s6 U+ C9 {/ U1 }- h; X& _( G1 n% U: ?

) H& O$ b) @, tto setup
5 f  _8 b2 m0 a' f  ca
* K: @' Z, [% u# t$ @2 J  set max-grain 50
% E1 ]& ~1 i# @- y, J) r' d+ g7 h  setup-patches
8 Q6 Q; L0 x, ~, B  setup-turtles- X; I$ E' L- o. K
  setup-plots9 K+ O  F6 q9 K
  update-plots$ I, K, |4 k( Q8 B6 S
end
5 S0 R9 [( U0 T" G+ O: {) B9 Wto setup-patches
& }$ T- V* e9 x& f4 f  ask patches
* k& q, h# S) D: J" Y( E" {1 p    [ set max-grain-here 0
$ Y- n1 j; ?6 p7 h! S: y# e      if (random-float 100.0) <= percent-best-land
6 t6 R. g( g" R6 Z! C( B        [ set max-grain-here max-grain
; }) r/ }2 J: D4 l! R8 k          set grain-here max-grain-here ] ]
$ V; b, q+ s& ^  repeat 59 T% ~, n: y* B; k' ~, w
    [ ask patches with [max-grain-here != 0]
- v' Z6 _- j. R" W0 R; }) y        [ set grain-here max-grain-here ]) w2 q# E4 s. u
      diffuse grain-here 0.5 ]! M0 i# R6 y  v- x' e4 q: U
  repeat 10
7 b, `1 Y$ e6 A: l2 {    [ diffuse grain-here 0.5]          - A* U* V' v+ F* f' q& U: P$ n
  ask patches
1 |: @1 r4 m6 r: S! b0 K& k- |- Z    [ set grain-here floor grain-here   
1 W( y: ?  |4 K! u" Z      set max-grain-here grain-here        i* f5 O! m0 w6 h4 ^7 ^4 ~3 N
      recolor-patch ]
( h! _- Q* u3 a  _7 Oend6 q' T0 \4 q% ^' @& \/ Q1 M
to recolor-patch  ( {, B  @, _2 D, I) q5 N( c  |
  set pcolor scale-color sky grain-here 0 max-grain
/ q4 r$ G2 T/ Z" s0 [4 u7 g( }end
7 N6 `6 d; h5 u) Z' T. p- ^2 p. Rto setup-turtles4 ]/ I, m; I) V# `; l) d
  set-default-shape turtles "person"
! ]; S! a. W6 X% I" ]  crt num-people/ G0 Q0 f  G* e3 H" S; e
    [ move-to one-of patches  * i  d4 b. N  F. ], s
      set size 1.5  
1 B+ e% }% a) M1 n      set-initial-turtle-vars-age
5 z/ _( {, ^8 c+ r# `- m; }      set-initial-turtle-vars-wealth
. s4 M. p% h% S6 h+ }/ |      set age random life-expectancy ]
0 I' g; u4 ~/ W$ g+ [2 H  recolor-turtles
! I; b& _: o- r. N( ^; ?% mend
  O2 X% C( e# O# ]3 V0 B# }2 s" F/ g% W7 L% P4 n% D$ R: y* L0 z0 k  b
to set-initial-turtle-vars-age1 f* `5 J& d) V7 p
let max-wealth max [wealth] of turtles4 @; u1 Z  b5 E& @
   
2 s' h1 k5 S; D6 _" M  G( `+ K0 d     ifelse (wealth <= max-wealth / 3)5 }9 f2 T9 _6 W
        [ set color red
- m( j8 ~0 x+ I+ o          set age 06 U: l2 z- |- }0 a  H% T0 x
          face one-of neighbors4 0 f9 L+ V( N8 A* E% ~$ g6 N% v
          set life-expectancy life-expectancy-min +' @, |% O/ L; M3 R0 U
                        random life-expectancy-max
, v( \5 }6 F+ z! I, P          set metabolism random 1 + metabolism-low! D: f+ a2 q+ o5 [- }
          set wealth metabolism + random 30" m( ?- K3 d. b5 p* R
          set vision 1 + random max-vision
* l. g$ @6 Q0 d/ H5 ~9 z( l             set wealth  wealth +  Wealth-inherited-low ]
) i7 L# c3 N/ g: J+ n- Q        [ ifelse (wealth <= (max-wealth * 2 / 3))
/ y" ]# _/ B7 S            [ set color yellow ) B! h8 C; H* h" W
              set age 0
0 t2 Z- t' c: t+ C" U' W  Q              face one-of neighbors4 ! j0 ^* q0 ~0 Z& X* t" f
              set life-expectancy life-expectancy-min +  a+ W1 U" F9 j+ }3 X5 w6 x4 ?
                        random life-expectancy-max + 1
1 |! g) m9 [/ \, s( E. ~& ?; `              set metabolism  1 + random metabolism-mid" O7 \9 W& p3 I7 Y7 U, M% z
              set wealth metabolism + random 30
; d8 f- p! }. q0 X              set vision 3 + random max-vision! \! c; B% e  z; {/ Q, Y. a
                set wealth  wealth + Wealth-inherited-mid]4 c  y1 e/ \1 d; t
            [ set color green 8 S& D: A9 U; }8 s
              set age 0
( T7 ~* ~- Z' i2 j, s- r              face one-of neighbors4
$ h: g. N6 p- w( R              set life-expectancy life-expectancy-min +
2 v- f+ r# f+ z) r0 S" ^; [) [  ]: K2 v                        random life-expectancy-max  + 2
& q, t& H, v" f3 K( d) M3 T              set metabolism 2 + random metabolism-up5 r; u; `$ K! f7 W+ Q
              set wealth metabolism + random 30; _: c! W: g' |
              set vision 3 + random max-vision
+ B( S4 Z# x& ^& D              set wealth  wealth + Wealth-inherited-up ] ]
, j' e& U1 R" X. j* i5 q " @- H/ m' Q. i
end
2 E/ z5 W2 J: a2 d. k9 Y7 _to set-initial-turtle-vars-wealth. I# f6 G- P# R/ d3 D9 ]9 l5 f
let max-wealth max [wealth] of turtles! d+ \2 L6 i3 ~; p$ H) K. c" E! |
          set age 0- z! V4 Q( T& L# i8 S
          face one-of neighbors4 & u# S% T$ G2 J: C
          set life-expectancy life-expectancy-min +( {6 ~: |/ L: u, f- h1 G
                        random life-expectancy-max
" a. c0 v; }9 i  v          set metabolism 1 + random metabolism-up
" i) w4 y8 s4 p9 V6 \2 ^          set wealth metabolism + random 30
6 N4 [* C% b, ^- Y* F          set vision 1 + random max-vision
; d$ p( T" m4 ~end
: o- E* {* k, q0 _to redistribution
( Q& z2 J- ^% K) Ylet max-wealth max [wealth] of turtles
- K  A' w. F/ w9 s0 J6 blet min-wealth min [wealth] of turtles- x# _( ^2 m# ~% D
if (wealth <= max-wealth / 3)
& z; V( Z: V% X  P# v0 k( j- H [set wealth  wealth + Low-income-protection ]
3 ~0 G1 }3 ~! u0 l" `end
, r% E- m$ g; w$ e7 v; F         
& Y/ ]$ x: O8 L* v3 [  u: uto recolor-turtles
% F( V' {; k% y& ]  let max-wealth max [wealth] of turtles
2 {0 X- x! l" M  c7 v* {  ask turtles) G/ U) v- a- I  X0 S
   [ ifelse (wealth <= max-wealth / 3)
  o% H+ l5 D# C! v/ L2 s+ v        [ set color red ]* t! ]. W! B' w6 y+ Q, |
        [ ifelse (wealth <= (max-wealth * 2 / 3))- h7 E* v/ |8 Y
            [ set color yellow ]) m% x, @" T% ]. {9 ?9 W) e- a
            [ set color green ] ] ]
6 j! F: G4 Y, s# \ ask turtles [ifelse show-wealth?
9 V, ?- o( c' F    [ set label wealth ]
+ r6 w3 ^. i1 {& X2 j* T) y: J    [ set label "" ]]7 |3 ~% Z! F, U+ z
end
% @3 O% Z1 D2 ~+ H) j
4 |, l* U9 u& b1 X- F6 t0 h5 zto go
; _( y+ C8 ^( n- H8 \: b  ask turtles2 e; d8 w3 X& P7 B) {9 z
    [ turn-towards-grain ]  
( N1 b: K( l1 Q4 G  harvest  _# @% v' L" h) }- h
  ask turtles- ?, }4 g6 I9 b: F# _4 p1 {, p& v+ ~
    [ move-eat-age-die ]
9 S% C1 D% c9 @. O7 r6 E  recolor-turtles
( D5 T  B/ l6 W  i! b" S  if ticks mod grain-growth-interval = 0! L$ L. _! ]" M- j9 @# \0 a
    [ ask patches [ grow-grain ] ]
% E& E2 l  Q5 D* A, D     o1 C! b9 d, I9 i+ A4 |- ~9 [2 q
  if ticks mod 11 = 0  A' O- [7 ^( n0 m; c( a
  [ask turtles! y1 q$ {5 Y4 G% n7 w0 n5 c# m
  [ redistribution ]]& _9 `' A' D; P2 C6 U
  if ticks mod 5 = 0
2 ^* h& t; l( p/ u; l- S- m6 G   [ask turtles
. w! o$ H/ n+ Y# _) |; P7 F4 a  [ visions ]]
) V& J* k, z  H& y- j9 [1 d8 v2 Q  tick" B6 d% q5 m  B, {" ^( ^
  update-plots$ |0 |; k+ ]2 X
end! t, e/ n8 N: O8 |' `
to visions
5 _& ?" L4 H  \* C8 E" _ set vision vision + 1
: @) h$ J/ G3 a$ {" Bend. |' P# B' I4 L
' l) `! O* r8 o( H

0 I: u+ W; T  r$ Y7 H9 E' s! O9 w7 \: A- U& B4 W% I- m
to turn-towards-grain  
! i- w& ~2 R/ q, n, ~  set heading 0
) T2 N% i' }( _1 K' }' i  let best-direction 0, {; E, v. t% M3 a" `( v7 m, R
  let best-amount grain-ahead% y* g5 F0 p) L! T, E
  set heading 90
2 l" n* n  `: W" X# k% Z  if (grain-ahead > best-amount), ?; K4 ?$ [1 D5 \3 p
    [ set best-direction 90
1 w/ z) l. i& d( |/ p4 e      set best-amount grain-ahead ]" M7 y1 t: b% R/ u
  set heading 180
$ I& s. u+ B. [/ J  if (grain-ahead > best-amount)8 T$ d0 S( E$ X. l6 |
    [ set best-direction 180- k- \" a2 M; k' I7 L7 [
      set best-amount grain-ahead ]
8 t; V6 ^' `% V! ~) b  set heading 270, [! r9 q7 l/ g' D0 ^% N: d. D
  if (grain-ahead > best-amount)4 ~. l. |  [& c! p- [$ ?- p
    [ set best-direction 270. ?' \. e6 x- v& b. ^8 T- Y
      set best-amount grain-ahead ]
& c. B/ V  E; v8 i  {- @2 v% U  set heading best-direction( k) W8 }, {  c  x$ o1 [/ Y! v
end1 U# X  \: v1 b/ `" I+ [5 W# m/ ~

6 A! U2 x2 g! P9 ]
* Q2 G$ \! a# H9 L+ d. d# Z( `to-report grain-ahead  # k" k4 u% U% p9 n. k
  let total 00 M, G( Y. ^) \+ {: W3 Y
  let how-far 19 l$ E* u& F$ i2 f3 u' V' E& v
  repeat vision) w, p+ ~5 t% {9 x8 F. x" m6 r* k
    [ set total total + [grain-here] of patch-ahead how-far
7 J0 K; V4 ~6 y! [4 q      set how-far how-far + 1 ]
: M) g' f! h" [: {  report total
8 @& H3 ?0 N/ Nend
. T' j0 V( n' D8 w- t8 s
$ u  }2 l+ u9 L- k& i5 X% Jto grow-grain 2 [0 z5 Z* `1 |5 R
  if (grain-here < max-grain-here)' W  ~/ K, n: g  z' Y
    [ set grain-here grain-here + num-grain-grown! E, E( Y0 K4 i& X5 U* g. F
      if (grain-here > max-grain-here)
0 D1 q. [. w# k: L+ x        [ set grain-here max-grain-here ]% G7 K# m, Z0 c; H& `; @1 v
      recolor-patch ]* y0 ^, l4 f# E7 s/ x
end
; K8 a0 i' Z+ \3 K9 Gto harvest
/ j. M, n, T+ X- ?  ask turtles" g$ k8 v' k! q6 B
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
. r% N% Y5 q3 J) i, }6 ^  ask turtles  h0 T3 o/ {# G7 c. l& C# i
    [ set grain-here 0& M7 N9 r3 P1 ?) l, `0 u' S
      recolor-patch ]
1 U, H- R0 ?- ^/ y. d  
: L/ l- [5 M! `) y! G; v# i- r# oend
" f. a+ o) X  ]/ \3 \+ J  W: G6 H/ y/ @3 q2 [9 A; p0 j2 S
to move-eat-age-die  
6 X+ D& K! T* {6 X  m  fd 1
" ^6 K' V( m) @3 \0 a: N6 J  set wealth (wealth - metabolism)
# u# m/ q7 g1 o3 \0 ~0 S( Y: J    set age (age + 1)
! p) x) C+ p  ~  \  f. u) v  if (age >= life-expectancy)2 n9 `0 s. m# v  C
    [ set-initial-turtle-vars-age ]0 P+ w1 O% y' \' m
  if (wealth < 0)! H0 P: y# F6 E2 f; r$ U
    [ set-initial-turtle-vars-wealth ]. x5 a* P! A# q# j! G
   
+ T1 V; X: ]1 e4 l* bend  U( C) y+ L, C4 s, `9 g
! d3 K9 W7 c& x7 L, s5 `6 S5 W
; l. x/ r, D( A6 [+ a
to setup-plots/ A* P$ O$ ~/ c5 H. E
  set-current-plot "Class Plot"( R. ]4 `  l$ P
  set-plot-y-range 0 num-people) m) O* v( i' M! X
  set-current-plot "Class Histogram"
& a  m8 E  f' z; d2 B1 z8 L  set-plot-y-range 0 num-people/ F6 N( w0 p( O
end- ?+ B' S* \. i0 Y# C6 c8 q& ~( V

$ I' I5 @$ S  ~- e  {$ o" ]1 X) H7 C/ J# Rto update-plots
5 g/ [- ^6 f$ P" w  update-class-plot
- ^# [4 @0 k4 n3 q/ S0 j1 R7 e  update-class-histogram$ y$ ?: p( y; v1 P/ i9 u
  update-lorenz-and-gini-plots( {! X- }; _) K+ x- c& B. w5 i
end
  N$ }; R: J- {" l
+ \/ d  v/ M3 c- e7 Yto update-class-plot& X( z! d2 S# {3 w6 K
  set-current-plot "Class Plot"3 U' q& x6 z; H$ w+ n
  set-current-plot-pen "low"
8 a) y; Q) s8 N+ Q! H3 _0 c( B  plot count turtles with [color = red]: z7 ^3 R' e' x  p. ]! C
  set-current-plot-pen "mid"8 {- P, b# O7 b, X
  plot count turtles with [color = yellow]; D8 a. m$ C( G' I
  set-current-plot-pen "up"" c- L5 i1 h! l: k  S+ \: e
  plot count turtles with [color = green]
) |! r4 }6 K- [end* T: R6 ?! R5 `3 V. Y1 e) a* W7 V4 _  S

- z8 t4 ?1 A/ s2 [% A# ^2 H4 D: bto update-class-histogram4 D; k2 ]& q, d- u
  set-current-plot "Class Histogram"
) `# G( G7 s7 A- Q& s5 @1 J  plot-pen-reset8 K. A  @0 ~7 S0 L, a; i
  set-plot-pen-color red% C( U5 C6 N+ {* }
  plot count turtles with [color = red]" P( t! W5 M8 r* ~  E
  set-plot-pen-color yellow
! Z; r7 |( |7 @- N" Z  plot count turtles with [color = yellow]# r; ^7 _% X$ a8 H! o
  set-plot-pen-color green
; m$ r. X3 k% L* U$ M. E( ~  plot count turtles with [color = green]  Q8 z2 G# |- c4 N5 R
end
: }% l% G5 B2 i2 S7 \3 r. Q* [: N/ vto update-lorenz-and-gini-plots
$ X, O* Z  w# Z7 n8 c' [/ H2 x7 _3 q  set-current-plot "Lorenz Curve"1 D; E$ `! v2 l' b0 ^- b
  clear-plot# ?+ F+ ?- g  _

8 }  K; P& J/ K; j* `  set-current-plot-pen "equal"6 v. p1 Z5 d" ~/ @/ g) A9 Z( z
  plot 0
# x8 \! s/ r! O9 Y2 @  plot 1006 n& v3 \0 w/ c4 `$ C
8 [# i& @9 _4 U/ f% O" j5 M
  set-current-plot-pen "lorenz"5 N0 _! C+ T) H* X, e
  set-plot-pen-interval 100 / num-people
' u$ `* v( E$ f! E& j; p! g' O  plot 05 C6 \* @: X4 e" |2 l

/ a4 l; J. z: B% C; T  let sorted-wealths sort [wealth] of turtles# d- {2 N. I! |9 @, v$ n
  let total-wealth sum sorted-wealths
$ W# U5 p* Y3 t  let wealth-sum-so-far 0
) Q6 P7 y. m' O8 U  let index 08 v( ^& @& }, o1 q2 Y
  let gini-index-reserve 0$ {0 r7 a. ~( r7 y/ t$ w3 T7 n
( o) L; u% j$ B+ V3 @# y
  repeat num-people [
9 F4 g( H, h$ @) {+ |) d    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)+ B: X8 }( Y( K5 x  s7 K# Y5 y1 n) T
    plot (wealth-sum-so-far / total-wealth) * 1003 N+ W/ i% O! r# s( X
    set index (index + 1)2 ^6 D' l$ \0 ]% a- Y
    set gini-index-reserve6 Q0 \# b1 [" [! b# a
      gini-index-reserve +
) W8 ]  u; [- Q5 h! D      (index / num-people) -
- W+ A+ K" u0 A4 o! Z, z      (wealth-sum-so-far / total-wealth)
; x1 K1 N+ z$ C5 C* o5 e- N  ]( e4 l: i+ s" K: b' h. _
/ y& F0 s  v# x! g" Q
  set-current-plot "Gini-Index v. Time"
3 ?9 j. \5 E9 g  plot (gini-index-reserve / num-people) / area-of-equality-triangle+ P8 k3 I2 I3 z7 Z1 |9 J/ O
end
* Z2 |) A6 c5 |to-report area-of-equality-triangle
+ _, [& x; h7 ~  t) {& ~& D  report (num-people * (num-people - 1) / 2) / (num-people ^ 2), q: q3 k0 ?, n
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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