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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6 q: w9 ?. |: m
globals  L" c+ t8 V1 A7 ~) G8 n" [
[) N" A* _; E* {0 A: T
  max-grain    2 b/ o& c* z  \

3 f6 y1 Z$ a4 @. j]
0 Y6 ]8 E4 Q- k) Y5 E/ g2 [; f# X$ r* {
patches-own) V4 R' o5 o, h% i
[( Q( J+ B6 f7 `! k  ?; o
  grain-here      & S1 T& P0 g+ e7 Q3 L  \
  max-grain-here  
: [/ A; o- `0 y: C: ?; J]
7 S0 Q# Q( ~  K: J$ |+ u' I# V6 y2 D# u! P
turtles-own
9 W4 P; q4 s" {/ N% d[9 ~* E! k: h0 O
  age              
4 Q. X" u4 I* J: l9 p5 Q, q0 B5 `# n  wealth         
' d( S( d$ o, n  life-expectancy  
" o5 E. r* }' L4 a/ U  z  metabolism       ! s( ]! b, k- @- ?! `
  vision4 Q* m  \$ [0 m$ H' a0 k; O
  inherited         
5 @- ^) [& w# B* p3 c]
) |  @1 a6 R- f3 ^. i& b7 n4 q
7 E9 `% |$ }6 U: L0 H3 t% ?( z' N# M  g% n+ B& U- N0 ~8 e* f; U
to setup9 j! x4 m+ K$ {+ g8 @+ Z
  ca
8 P: L8 g; X/ D% s  i  set max-grain 501 m6 S) P* T8 ~2 V3 K5 x* }
  setup-patches
5 ?) z# b+ a6 B3 o) H: J8 P  setup-turtles8 Y0 d& ?, _1 N1 u2 q9 x" J
  setup-plots& }( ?; @7 s+ j* z2 B
  update-plots
# X9 V1 w& ~) A7 H; Nend6 H. |- Y1 ]6 O$ l
to setup-patches
* I7 G9 q/ K8 q2 I  x: j# n+ O: }  ask patches
; `% K8 `1 ^+ q    [ set max-grain-here 0
% T0 `5 H" Q& f8 {5 C: I/ C      if (random-float 100.0) <= percent-best-land
5 U; x2 W/ F7 L4 a9 a        [ set max-grain-here max-grain
& C" ~# P. S* M4 r4 g0 a5 a          set grain-here max-grain-here ] ]* T2 ]$ G% v( K+ ^
  repeat 5
% Z) E4 B5 q) \6 @    [ ask patches with [max-grain-here != 0]
/ c; O3 V& y% C; I' U7 @        [ set grain-here max-grain-here ]
+ m; t. ~- K2 K% `0 k8 r( r      diffuse grain-here 0.5 ]' R* S3 U  r# a1 z( \" v# u* r. `
  repeat 10
6 Q& ]. n3 o- r2 W, `    [ diffuse grain-here 0.5]          - z! m6 G! l! ^! S
  ask patches- V3 I4 L1 Q  q
    [ set grain-here floor grain-here    0 j( w* i5 q+ |4 _+ P+ H( I* l
      set max-grain-here grain-here      * H# q' F( u: L! A
      recolor-patch ]
1 r2 A; y. o: Z1 h7 Y0 S  g5 v9 P. Eend
9 B, R( J0 L* Z% w4 Q1 i) b0 Mto recolor-patch  : w  T' U/ g! g* X# T
  set pcolor scale-color sky grain-here 0 max-grain
. ]; ^9 e( t5 F$ T3 yend) V4 N+ H; Y6 E' X3 Z7 ^9 O: s9 c
to setup-turtles0 G5 C. p8 w; C; R& Z
  set-default-shape turtles "person"
' |, |* [+ p( [+ W0 }6 i  crt num-people
5 o+ I9 ?) ~: u2 k$ T    [ move-to one-of patches  / X0 b1 C# b6 a
      set size 1.5  
4 ?: l* c' Z$ P      set-initial-turtle-vars-age
) y" }" U3 I5 _+ g7 i# S      set-initial-turtle-vars-wealth# N) o6 ?( {" X( Q# z& a( d8 x
      set age random life-expectancy ]
) @1 r) u5 w$ x) P+ F, n  recolor-turtles
; ]& |( M3 J9 j" `  P5 Cend/ @( @' v5 ~* K# U2 `% t+ m9 X

' o; ^; k: g! Zto set-initial-turtle-vars-age; F% ~5 o9 t4 Q5 m6 m. v
let max-wealth max [wealth] of turtles
8 u! ~" ^" ^( E/ w    ( O0 U! I* A+ @) x7 i
     ifelse (wealth <= max-wealth / 3). o5 z9 M& e& \; P
        [ set color red $ ?. m  C& E7 Z( K; l1 Z- D
          set age 0  `$ a0 c2 E  D( l
          face one-of neighbors4 % X0 Z9 z; p) T
          set life-expectancy life-expectancy-min +
. K/ t; y# `4 x& w2 X4 K                        random life-expectancy-max
" s7 J1 o4 ?. [3 d2 }          set metabolism random 1 + metabolism-low
' Z, A* G5 |6 F4 t$ T$ @% a) X5 d          set wealth metabolism + random 30
5 |  a! B3 B$ H4 }( I          set vision 1 + random max-vision. m) ~+ ]( C3 K" V# {
             set wealth  wealth +  Wealth-inherited-low ]. H: U  `( N2 `8 B& N  n
        [ ifelse (wealth <= (max-wealth * 2 / 3))/ h6 X' ~( v. ^8 \- x
            [ set color yellow
) u/ U. q! _) o& D8 @" }              set age 0
7 w9 O0 l0 e2 R$ A/ ^8 Y              face one-of neighbors4
( B: H) L( d& i) T5 n3 M5 e/ D' c              set life-expectancy life-expectancy-min +
/ k& N1 P, {( U3 G* N) d# T                        random life-expectancy-max + 14 X1 o, o1 ?: A8 B& m6 }
              set metabolism  1 + random metabolism-mid3 `8 }6 A$ D9 A9 }/ T- v3 M
              set wealth metabolism + random 30
# D8 W& m7 p: q0 A% I: x8 g+ g/ T              set vision 3 + random max-vision
. y/ ~7 H+ ?% b9 T( ~' E                set wealth  wealth + Wealth-inherited-mid]0 D' g6 z1 {8 q" Z4 M/ w, A4 O3 T  i
            [ set color green
& n; _- K2 A7 a( M( M8 H              set age 0) c+ Q3 b9 D0 n
              face one-of neighbors4
  N$ q* o* z, y0 U+ R              set life-expectancy life-expectancy-min +
8 O4 v- [7 v' \6 C2 O                        random life-expectancy-max  + 2, l+ g+ ^; z* ^6 ~
              set metabolism 2 + random metabolism-up1 J) [/ F) X1 o' I
              set wealth metabolism + random 30
, P: E7 j) Q* P' g  w9 s              set vision 3 + random max-vision
7 a1 J6 Q8 G2 q' v& |# |5 l# M              set wealth  wealth + Wealth-inherited-up ] ]
, C, @% x/ g- Y0 F1 B/ C+ W1 ~* T" i
' P0 z* E2 d  G4 x7 z) ]0 s8 send, F6 M- m) ]& i- U0 ^4 r$ T# X
to set-initial-turtle-vars-wealth
9 Z  J$ f; R! q let max-wealth max [wealth] of turtles
$ Y1 k4 Q6 O4 [. U! |  Q          set age 0
$ ~  Z2 Q6 K7 i9 i5 L8 ~' {) t          face one-of neighbors4 " E8 M$ A6 {0 `
          set life-expectancy life-expectancy-min +
4 r7 ]& X9 q, K. Y& D7 r                        random life-expectancy-max
* t+ Q8 Q# E+ b: I" `. E3 B! ~0 g          set metabolism 1 + random metabolism-up
! l. I3 n7 n0 r          set wealth metabolism + random 30/ y9 p/ ?; V; Q8 V* f/ V2 _
          set vision 1 + random max-vision
& K" R0 B5 Z1 P' vend
! B& @+ d5 l* M. rto redistribution
% P8 V  q. P3 i0 y& Plet max-wealth max [wealth] of turtles7 B3 n6 f! r5 r6 c
let min-wealth min [wealth] of turtles3 p: q' E  t2 j; E( q* B+ W
if (wealth <= max-wealth / 3)* Z! k1 O0 @4 B8 p) z# m9 s0 r
[set wealth  wealth + Low-income-protection ]
! x/ \0 D% c) u$ e8 C, W' tend1 t; ]1 l+ g  ~6 J3 D. E  H  Z
          $ a3 E; s7 E. R% p3 w. `# F, c
to recolor-turtles
3 g3 a, y) g& @; U7 ~1 _0 ]  ]  let max-wealth max [wealth] of turtles
, T5 ^& Z; r  }; ?  ask turtles/ L! n" t( R: R  b* o
   [ ifelse (wealth <= max-wealth / 3)
& n  d- O* T( o$ w# m7 W. B0 x, G        [ set color red ]5 A7 v# e2 {6 ^  h) P$ C
        [ ifelse (wealth <= (max-wealth * 2 / 3))1 `1 i- i5 @( Q$ a+ B7 b5 B* A( l' }
            [ set color yellow ]
3 L+ c9 Y: v- g/ P8 T! o            [ set color green ] ] ]
# y( }' s' n) S  Z5 D ask turtles [ifelse show-wealth?
: d( O, y- ~& X& x+ ~* P! U    [ set label wealth ]
- E, J- {- \0 o5 W- C& n7 f/ i    [ set label "" ]]
4 l* C/ w3 J7 M  e. r; u% M6 G2 f/ Tend% [. o% w: G1 Q5 S4 v- _, s

8 K7 e, T7 B. B: vto go
1 O& v  C! e8 |2 p  ask turtles
1 E. H# L; v" l' C$ q    [ turn-towards-grain ]  0 `# s  j; H7 G
  harvest
) ]8 a0 ]. R/ t( F8 n9 N  ask turtles
3 D1 B- K* G6 ]6 o" Y; s5 ~    [ move-eat-age-die ]' m) B5 f2 @% p$ U% P5 t
  recolor-turtles
  t8 y9 w' E+ c  if ticks mod grain-growth-interval = 0
  U% {. }' ?$ k1 N5 a8 R    [ ask patches [ grow-grain ] ]
. h  Q  ^; N/ Z4 c   
9 N4 U' m' k6 e2 a3 ?& S  if ticks mod 11 = 0
7 W7 i% W- C% K% }' |. K/ {  [ask turtles
. q/ D# f: C; E* L3 j: C% Z3 Z& r: X  [ redistribution ]]
3 ^2 o( m" G/ r$ Y/ J7 d/ B  if ticks mod 5 = 08 e- m. F8 k; W* R
   [ask turtles9 e+ T. c  P. \* ^4 ~5 w% g
  [ visions ]]
: Q* h5 X6 S3 H/ [/ S  tick5 N- ~: `, J* R$ ^" H) p
  update-plots
3 K1 m: H3 x% hend
1 r7 N4 {" |) r+ C% A0 x& qto visions  ~$ `- L( A5 D
set vision vision + 1 . d4 y* Y2 v( ]' l5 m  T
end
2 N  w; \+ z5 w# O8 ]( H: V( L0 y4 C# t( y' z6 C

( ~) t& T: q# E+ ]& }5 ^% r3 q8 J
4 Y# R1 q6 W+ Zto turn-towards-grain  9 k: [  W  r& W0 `) a5 W- [
  set heading 02 _8 m9 f9 _; t7 N( K
  let best-direction 0! _; J+ `* Z0 G  `) q* V
  let best-amount grain-ahead8 r8 R9 q8 l5 k7 I  d
  set heading 90
, R; f& e8 ~+ l  if (grain-ahead > best-amount)
) S8 M( o9 r6 s  }  o    [ set best-direction 90: ?( s. d7 W) L0 f4 u
      set best-amount grain-ahead ]
4 w7 U8 b8 @5 x4 F0 @  {& W) d  set heading 1800 ]- W# b# G! s- U% m/ J! v
  if (grain-ahead > best-amount)$ Q- i6 ?! h) I
    [ set best-direction 180+ q, T7 B, s  r: n
      set best-amount grain-ahead ]
" U& J# [  W1 x. p& R3 E& K! H2 l  set heading 270/ j5 `* d, Q1 x+ O; {% |/ H
  if (grain-ahead > best-amount)$ S. S4 m3 S7 p; p8 g8 |5 V
    [ set best-direction 270
/ N( n1 f, @3 x      set best-amount grain-ahead ]
- Z& `* L: q6 r: i5 N- t  set heading best-direction
5 a, m  y  K  h/ eend% Z7 X" c3 M/ g4 N! {6 p
( _8 y- u4 z( H5 C7 r7 k3 ~1 n/ p

4 q7 i1 n1 V3 }; F- Yto-report grain-ahead  " G. s0 D3 c/ [' k0 F& x
  let total 08 p/ B5 h1 J' ]* x( m
  let how-far 1
9 W, Z1 a" v* J. J4 D  repeat vision, n% H0 l* Q+ {& o5 J
    [ set total total + [grain-here] of patch-ahead how-far$ C4 Y, i/ v' r2 g* l
      set how-far how-far + 1 ]1 {3 u. Q( D" Z, ^  b% t( L8 ^
  report total' L- I& |! ]0 ]% ]
end
: l  |2 z( q3 @
" W3 J3 P7 W' eto grow-grain 6 Q. F% r2 [" N1 v$ w: k/ P# g1 `
  if (grain-here < max-grain-here)
5 L% w" T. i5 }" O5 k    [ set grain-here grain-here + num-grain-grown
) M+ p1 ~; p& k$ X      if (grain-here > max-grain-here) - U& f8 ]1 M1 ?6 g
        [ set grain-here max-grain-here ]
9 n' o& ?6 b9 M- p      recolor-patch ]
- O: o) }) M! Y9 y& E, N/ I0 Gend
8 H  l# R5 }8 qto harvest/ Y) ^2 m+ m( M* z4 ^) f9 T
  ask turtles
. v; b  u, ^9 I" r    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]3 U- G9 e4 w; M/ K
  ask turtles* R$ W3 z- V: F
    [ set grain-here 00 r+ W. K* d2 i9 J! n  h
      recolor-patch ]2 x9 K6 m' r2 ]2 h  u, j
  
. g+ {7 X7 ~8 Q5 e" Xend8 p5 }! r2 D6 J" f5 H

" a% k  F* M0 H3 V- z4 U4 ato move-eat-age-die  
) x% Q$ G! S& k" b8 H% x; G0 C* l  fd 1
) _9 N9 U9 q. D: f9 p  set wealth (wealth - metabolism), u1 t( \3 y7 `, ?( E
    set age (age + 1); ^3 X( r) |3 X0 u$ j: e
  if (age >= life-expectancy)
; R& Y+ |- W1 @% u2 d- f( h    [ set-initial-turtle-vars-age ]
+ t/ ~4 Z' Q8 U1 t( K7 k  if (wealth < 0)- Y* R, c( C& v% k' e
    [ set-initial-turtle-vars-wealth ]" x1 Y: D! a- v
   
4 _1 Z# V# Z7 n0 [" Aend
( F0 j# ]8 y9 b( R5 S. ^7 u& Q0 n1 w& w" R' j6 s
( h  ]" K* a0 A0 l7 M/ j
to setup-plots; H1 l# M0 k; F% N! s# f
  set-current-plot "Class Plot"
9 b# v$ Z* Y2 X# D& k2 \0 i  set-plot-y-range 0 num-people, b7 W% n0 l) r
  set-current-plot "Class Histogram"
8 t. a6 S. f& f. @& v  set-plot-y-range 0 num-people
; M0 J7 U$ Q7 K2 B2 U' w6 i1 w, B, kend- Y0 X8 ~6 f( {' R; S! e- R

' g& O- E/ ~4 Z9 ]to update-plots" I# b! F( U( ?5 l
  update-class-plot
* D. V( w3 B; x% M  update-class-histogram
. }- o1 J4 ~+ o* q8 e. O  update-lorenz-and-gini-plots9 E5 H  G! R8 e7 i4 A
end: l; U* L" C/ N# E' a3 |

3 q8 X) R% t" h* B: f1 X7 _5 qto update-class-plot
% N  c0 H$ d1 P! v4 b0 Q  set-current-plot "Class Plot"! a- E: J( P* z' i! O4 Z0 c
  set-current-plot-pen "low") W4 w$ d7 Q- p$ h& z4 o
  plot count turtles with [color = red]+ l. `' ?4 }0 t7 @0 |( a# G
  set-current-plot-pen "mid"
, K  p# @! D% C9 z  plot count turtles with [color = yellow]
3 x9 h# v& m( a+ f  |  set-current-plot-pen "up": ^5 `9 C/ ?% s& A
  plot count turtles with [color = green]0 J. c# ~2 h+ N0 P2 {
end7 y/ y+ z5 u& F& A3 |) h& v
, l" \5 R) _" y6 Q3 p; y" V
to update-class-histogram% n4 P$ E: O  E$ J; _
  set-current-plot "Class Histogram"
8 {1 F) o/ W# \) _% X7 S  plot-pen-reset
% V) k1 G" q3 U+ o. N1 U  set-plot-pen-color red0 c/ F) e3 h: c2 A7 \- v1 t8 D$ g3 U
  plot count turtles with [color = red]/ a' f* |8 @# |& X) J
  set-plot-pen-color yellow' A9 v3 P$ s" M% a; {" o; C: }0 X: n
  plot count turtles with [color = yellow]9 [8 p+ @8 m4 b" v; o' u4 o) z
  set-plot-pen-color green! }: i) x0 H; C9 K6 n+ d2 I9 ?
  plot count turtles with [color = green]( G4 e5 X6 J& W* @
end7 ]+ t8 y, K7 w* C8 L
to update-lorenz-and-gini-plots, g# y4 a6 O) R0 R
  set-current-plot "Lorenz Curve"
7 j6 t" M9 x- M) ~' A9 C0 @4 m9 V  clear-plot
+ B# ^& E) X# _0 E- D& P8 c$ ~2 b. D  H
  set-current-plot-pen "equal"8 }) U+ _! l: w- p9 C
  plot 0. t" c" p1 a! m  ^. C. l* E" M
  plot 100
; s8 w/ A2 J" w* O9 l6 [$ `" p- S9 A* Y" T' |* l8 ^9 Y
  set-current-plot-pen "lorenz"
! l4 I/ O) e7 {1 q6 e  set-plot-pen-interval 100 / num-people
/ {2 p* K" ]2 l3 o$ V  plot 0% A5 C6 K6 r- d2 O. _

5 T2 T, r# H6 e; ?0 _$ p0 \$ O/ u  let sorted-wealths sort [wealth] of turtles7 }. t+ I  k  u* A9 d% M. x' H
  let total-wealth sum sorted-wealths  M" A5 z: Q3 H, E! w8 h0 ]* q
  let wealth-sum-so-far 00 J4 @; n; Q: H
  let index 05 a, p8 H. e" ~, Z* F
  let gini-index-reserve 0
/ V9 o5 X7 B5 X, s8 K! u
; t& t' [  ]; U5 r( |! C$ n8 o  repeat num-people [0 e7 F8 |' j1 ^$ U! q0 q3 g
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)9 Z. w) k# W% K8 t! b5 o' p4 X# g  o7 X% @
    plot (wealth-sum-so-far / total-wealth) * 100
' }) o! _& l- _# O$ l    set index (index + 1)$ e4 l3 u' s1 n: n. m
    set gini-index-reserve# q9 h1 D: |% q& J/ @. {. q
      gini-index-reserve +
& y9 Y  M' \. H  F% `      (index / num-people) -4 S! _1 {. h5 n
      (wealth-sum-so-far / total-wealth)
! ]3 z& l4 D' L* L4 b  ]! H! i9 V& b$ O7 z. v: G

2 k" {3 A2 y9 h2 ~7 n  set-current-plot "Gini-Index v. Time", y  S: }- K8 {2 D
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
0 P3 [. q* E  g" |6 b& i( {- zend% b- j9 Z7 m/ m5 z, u
to-report area-of-equality-triangle
* D' V4 ~, K, D6 J- j4 j' h" N! Q) t) q  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
; G1 i) m; @/ 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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