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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
8 s6 H* m. c+ X5 k, w# [; bglobals. m! y$ X1 O* V
[
! G) r) h8 `) R5 d! T) A  max-grain   
* A' b! W) @+ I! @' n: d
$ @$ o/ X3 A0 f) |0 m% z. _7 j9 m]
8 i. U: o; f6 g
3 O( i# Q3 W6 Zpatches-own
  g' l- r) k! p) j2 S[; I+ i) {4 P+ x1 h, j
  grain-here      $ C6 K9 x  I: C' u* i
  max-grain-here  & ?$ }7 O& @. t' M  Y" f
]' L' L( H7 s$ V/ h1 |
' p( F- z3 K) p* N3 B* K
turtles-own3 u1 V% A1 |2 B; k0 v7 c$ g
[
* i0 h; x- y! O' L6 j, P$ b4 N  age              ! C( I6 R( q/ F  w+ `
  wealth         6 w8 {9 P' ?5 A
  life-expectancy  
* l4 M6 S  O' c  metabolism      
0 I% w$ v- g9 s9 T  vision
2 \5 a% r; O& @% d  h! [! M  inherited         
- k5 ?* o. ]# R, }; a: n# Q]* f0 Z2 {$ y' Z! `: g$ X

( D6 Q7 r# e: `& i7 v) w; ~' M
0 v! l+ P0 c' o$ n1 y1 x' Y. B, yto setup
4 v9 y7 D1 l3 j+ i  ca4 _# U4 k; S* h
  set max-grain 50
5 o) j% }( f/ k9 o: P% g  setup-patches
( M( D! [0 D0 y# L9 W$ n  setup-turtles
5 t! ~/ [2 X' O2 ~+ ?+ |' z  setup-plots
. d& ^1 d, D6 C  update-plots! c' Z1 r- ^! ?* B: J
end
6 v: Q4 c% b1 l& lto setup-patches3 a& j4 @) d7 M% {1 }
  ask patches
: W4 j6 S6 r9 [  p! J9 m    [ set max-grain-here 03 o. A3 q. j! g" ]
      if (random-float 100.0) <= percent-best-land
3 K" [8 ^  E9 w/ m# S        [ set max-grain-here max-grain
# Z- E' g  ~6 M* S          set grain-here max-grain-here ] ]% ]6 l6 T+ |3 Z' j/ B2 p
  repeat 53 Y1 S# P: t/ c6 d3 e
    [ ask patches with [max-grain-here != 0]: k0 z( e3 B5 K
        [ set grain-here max-grain-here ]% q7 z6 r: Z" v  J% v7 ?& `( \
      diffuse grain-here 0.5 ]6 [$ V, Y8 r7 Z
  repeat 10
0 \. W) x( o0 A9 N! B    [ diffuse grain-here 0.5]          - m# }' k& [( r2 \. d  E
  ask patches, d# ^, d" K+ y
    [ set grain-here floor grain-here    ' D' M: s' C0 Z. F6 S5 N) y
      set max-grain-here grain-here      
+ c( ], ]% r+ N% [; X      recolor-patch ]
8 J" K, A$ W# t8 z' D4 }- c. ^end
- ]" ~, }6 T, \2 Yto recolor-patch  
! k& R4 y0 L, W& h" S  set pcolor scale-color sky grain-here 0 max-grain
/ L! [7 ]4 c( B" P9 rend
! n, L/ _3 u% V* [5 p1 Xto setup-turtles9 }2 s$ @. L; ]( {: z
  set-default-shape turtles "person". k5 N$ ]( A! m# o: ^/ ~
  crt num-people
( F0 s  o4 k1 [& T1 v0 m" b; F    [ move-to one-of patches  
+ k, ^" x9 ~" k  a, A5 Z( B      set size 1.5  
/ F0 x( Z  E) B: Z8 A6 q      set-initial-turtle-vars-age8 |& Z; w5 n/ Q, F
      set-initial-turtle-vars-wealth  W) W; F; b6 J- M8 D/ A6 g$ N# f
      set age random life-expectancy ]
7 `. y9 G7 C" ~; E/ Y% Z2 W1 y  recolor-turtles
0 `. M& G8 o4 Z5 f# h$ w4 iend* x5 ~) Z- {5 ^4 C% M
6 A" H1 m' O. S6 Y8 y
to set-initial-turtle-vars-age. A" ]$ I6 _# x9 Q, A4 E
let max-wealth max [wealth] of turtles
: d; ~- {9 m% `   
( M9 i. T: X. n+ q     ifelse (wealth <= max-wealth / 3)5 W* N1 C% B- c9 _9 p6 [
        [ set color red
+ Q9 x4 ]. w' m8 W: f+ @. X- P          set age 0
7 e7 ^/ p0 X6 N. P          face one-of neighbors4 2 u7 n5 t; l$ R6 w0 z, O4 {4 x' @8 V
          set life-expectancy life-expectancy-min +
1 l: r  R. ?4 k' @+ b                        random life-expectancy-max 1 Y  Y* p& s1 P% r# h
          set metabolism random 1 + metabolism-low
2 x8 u8 g! E* h- j& w8 ^3 |          set wealth metabolism + random 30
, |; k  K0 y9 R          set vision 1 + random max-vision
9 i/ k3 n: L' x' y2 L             set wealth  wealth +  Wealth-inherited-low ]4 e6 W( T8 y: ^" K& A/ o
        [ ifelse (wealth <= (max-wealth * 2 / 3))  s, F5 h8 m7 B
            [ set color yellow
7 d/ d6 R5 h# @  G$ H              set age 0! A6 b2 }4 P0 f. ~7 w( V! d
              face one-of neighbors4
0 G- g+ M5 Q( l. c3 C1 ]              set life-expectancy life-expectancy-min +( u/ q* \& c1 {% m
                        random life-expectancy-max + 1
6 |( R' P5 }4 f6 Q* }: ?3 ^              set metabolism  1 + random metabolism-mid
6 v4 Q, n# L8 q" l/ I/ |3 [0 G* N              set wealth metabolism + random 30/ X- L4 {4 g- `3 [# a0 \# W
              set vision 3 + random max-vision
( n8 Q- e+ l9 g                set wealth  wealth + Wealth-inherited-mid]
) `0 d" e8 Z9 i2 [& V% o5 Z            [ set color green 8 c+ T$ |) R  L/ j, a
              set age 0; }& j: H* ?6 x/ X4 Y
              face one-of neighbors4 2 x& }/ F0 {' M
              set life-expectancy life-expectancy-min +
3 A: J8 o( d- n- G. K                        random life-expectancy-max  + 2
' ^3 M" f4 T0 f) k              set metabolism 2 + random metabolism-up. B* P  |/ B; J! ?) F  H# ]1 c
              set wealth metabolism + random 30
/ a! h+ |/ n2 S: U( g8 l              set vision 3 + random max-vision' h2 h+ D' }$ o
              set wealth  wealth + Wealth-inherited-up ] ]
$ N0 W/ @" }0 N( v3 J* h 7 I) J* f5 w0 D7 M- t) T. Z( G
end
0 h+ M. I: O- b% wto set-initial-turtle-vars-wealth: A' [* X) S: h: E" f, j
let max-wealth max [wealth] of turtles
7 c: Y9 q9 {: N* r          set age 0
8 N; \3 I( F) B- F# U' H2 j0 r* X          face one-of neighbors4
2 [" k3 G) ?7 h2 ]8 t& R          set life-expectancy life-expectancy-min +
- T1 r$ m1 z& ?2 M% O5 A8 r! V                        random life-expectancy-max
: O4 w# ~% F* k$ S$ a$ M4 c          set metabolism 1 + random metabolism-up
5 K% J8 U  N: k9 p          set wealth metabolism + random 30; N6 A( I, }, @% j, m
          set vision 1 + random max-vision / [3 f8 S* \# u; G- `
end( A1 s! U, Y2 X5 u4 p7 D+ b
to redistribution2 ?! {6 y' _' E2 `/ W
let max-wealth max [wealth] of turtles, K; D1 a& H  }1 }
let min-wealth min [wealth] of turtles; I! k" ?0 {  K8 x% `6 S
if (wealth <= max-wealth / 3)3 ~# \9 z# S* c# x5 b' W
[set wealth  wealth + Low-income-protection ]5 k! }1 O0 |! a. U+ q
end
4 C8 o+ ]; @8 y0 d8 N6 Z          4 c% H; p; r* W% I* \
to recolor-turtles) d  s& i; @3 e; w
  let max-wealth max [wealth] of turtles5 l' y6 c- J3 |2 Q
  ask turtles
- t) V+ F2 e  j! ]2 }1 r8 p   [ ifelse (wealth <= max-wealth / 3)& {! S0 A) n, s; N" a
        [ set color red ]
! s1 k2 @0 e! `; ?0 o3 P" @        [ ifelse (wealth <= (max-wealth * 2 / 3)): o3 g6 C; N  h# x- p
            [ set color yellow ]  U* ^. ?  Q6 ~# T$ [, I% b
            [ set color green ] ] ]8 U# {+ Z* c4 x! |  H, k
ask turtles [ifelse show-wealth?7 p/ L, [/ ?8 y4 ^- t% F9 N  B
    [ set label wealth ]8 X, x* @- U% [1 M( M
    [ set label "" ]]) Q% Z6 E" y6 w
end) C+ I4 Q1 ?" M7 q, q$ I

. L+ V% s* G; Y3 S8 ]1 P- H# R$ {to go
2 T* ?0 u/ ]( o, S, T; {5 D$ Z  ask turtles
3 ?& E9 `, v# s1 N    [ turn-towards-grain ]  / f( [8 {5 {$ b; a( q
  harvest
! F0 G" M; {- W4 b8 D7 ~  ask turtles
& w( i' C% V/ h* v    [ move-eat-age-die ]0 f( [5 |$ S6 M2 w, s( l! `9 f2 r: L
  recolor-turtles
) c2 i" K2 `+ O  B- o  if ticks mod grain-growth-interval = 08 h8 i( L2 z# P: h
    [ ask patches [ grow-grain ] ]
0 l0 q# k8 |, f* A3 {7 A8 P   , Y4 |1 [8 t1 E8 F; Z. P5 J' H
  if ticks mod 11 = 09 R1 z4 H  A# Q  {1 N1 S- h5 ]
  [ask turtles6 X0 E8 I; S) X3 [
  [ redistribution ]]3 [5 D( y. Z) m
  if ticks mod 5 = 0
( ~- q) u) F% ^" \/ _( _   [ask turtles$ d% N' V: Y3 O' `* @" d8 W& O# \% d4 {
  [ visions ]]
6 g* _6 s# x- A; |* o0 V" ^  tick+ J% t$ p: C5 d- o
  update-plots
% s( F2 r* q5 C  U# r. _end
+ L- e4 w8 N( H+ `to visions
0 V8 k, h4 g% r, I: W. q6 f* V set vision vision + 1
( A1 x. ]+ d/ c  b; x4 N. f% i  send1 u1 ~$ q, E4 _: d
8 i0 J8 T" w/ l" F4 e1 m, f
, V) m. E3 }. K# {* _
( [& e* }* _/ ?
to turn-towards-grain  ! S& d+ \) G' S1 o6 {: @4 R0 F
  set heading 0' H* S; p" P( n% x1 h  h
  let best-direction 0' E2 ^6 G! H' i; J* L
  let best-amount grain-ahead8 V( s  S3 J9 C0 f# T$ e- `
  set heading 900 W5 ^: ]& c" k/ ]2 h
  if (grain-ahead > best-amount)0 y* m( m* k3 q4 p
    [ set best-direction 90
1 ?0 a( N, i; c/ |1 ?      set best-amount grain-ahead ]: S3 `. ]4 Q$ K* s
  set heading 180
: C* q6 O8 s; i4 |" e3 `6 y! j  if (grain-ahead > best-amount)
9 s( Q0 j& J9 B) a% \  W    [ set best-direction 180
6 |7 @2 Z4 z% c. v6 ~      set best-amount grain-ahead ]
( V- L7 L0 f  k; b+ w  set heading 270
; f- T& M$ U' C9 w9 p  if (grain-ahead > best-amount)3 E+ {5 e+ ^/ e* J* S& D% O6 C' N
    [ set best-direction 2706 S! @( z' b6 A8 j
      set best-amount grain-ahead ]2 }" r+ z$ \! t/ j' t* k
  set heading best-direction
7 d! i2 v, N! d/ pend
# h# R% Y; e+ S2 D* y: N/ p  C, `# k6 W3 }9 {, U0 N
' k, m+ K; K$ j# k2 |
to-report grain-ahead  , C  Q9 y+ v; H1 V# u+ C
  let total 00 m# R) Q3 g. O4 n  @
  let how-far 1' R* e) M3 C% A5 ~+ ~
  repeat vision5 {9 a0 {5 g! ?
    [ set total total + [grain-here] of patch-ahead how-far, R9 V& g4 }. B3 u! [6 H
      set how-far how-far + 1 ]
4 `  U* C0 ^( c3 X) D, ~6 M  report total
( a, l8 M7 ?+ iend) m$ W+ _  Q' u
2 Q( A, G/ j: n: Z" C  ^% B1 Q' W
to grow-grain
% F( T) _2 s( X, U# }& r  if (grain-here < max-grain-here)
* W3 }! g3 E! \    [ set grain-here grain-here + num-grain-grown# B- J5 G$ `3 \0 y) f
      if (grain-here > max-grain-here) / l  e2 L% s- L8 V0 \
        [ set grain-here max-grain-here ]
: f' p) A& O  k2 D* t1 n      recolor-patch ]
$ y3 d5 I0 l9 k# A; `# hend
! D( q# O* t! }& \. y: p7 Cto harvest/ k6 e# o  q. F3 p' b& `" ]
  ask turtles* O$ R* y5 v' f, a
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]) Z( h  e0 Q5 i. t" d
  ask turtles% ]/ T  H) U3 p$ s9 k
    [ set grain-here 0
- g5 c* u" c( @( }      recolor-patch ]
, J/ }1 a$ G8 A/ T4 p  3 I( n* e. K7 B
end
: v4 o7 F8 C& ?5 I; ^3 Y! O; w5 I: O0 @/ \6 |
to move-eat-age-die  
$ `2 I+ V& I/ v4 }+ D; A6 Q3 B  fd 1
2 ]4 z; D% W7 @& d" ?+ u6 S  set wealth (wealth - metabolism)
! G: B( a$ u+ @; V4 y0 [    set age (age + 1)
1 C* ?8 }( ^1 c" `8 N( f7 g) C8 |0 P1 Q  if (age >= life-expectancy); l& M) n! c; q' `' X4 K. ?  B! v
    [ set-initial-turtle-vars-age ]+ M, a. A' m! O/ L# ]
  if (wealth < 0); X9 }  b* ^/ r+ U8 F: K. R
    [ set-initial-turtle-vars-wealth ]# E, l" J6 m5 C% \
    $ ^4 p8 K3 J  `$ q7 n- J
end" g. e7 Q. V3 @

4 k& Q/ A5 Z4 a4 c! p/ i: b5 B% S. U3 ^0 G+ P+ ]
to setup-plots9 ~  i# j& Y  E$ C- P+ [
  set-current-plot "Class Plot"
: ?' k5 r  g) e0 D+ l! g  set-plot-y-range 0 num-people* E+ B' \5 P0 L. A  O7 c8 `
  set-current-plot "Class Histogram"4 r) b% L' m, Y+ B7 N1 V
  set-plot-y-range 0 num-people4 ~0 Q+ \4 L1 \/ @
end
% ~5 B, F  N$ ?) S. T8 R% ]
& u# a6 d) N1 l# A* X1 N8 j% Z5 nto update-plots
& S  G) N) A3 X. a# Y* D& I  update-class-plot
; l5 n4 F8 H, _3 r- `  update-class-histogram, O- Z, S( h8 o2 ^
  update-lorenz-and-gini-plots
. g9 V/ k* |$ A$ w, aend8 B" r- ^, t" f9 h) X
! h  C3 i6 P& }, m& C. L( d/ V
to update-class-plot
1 |  Q+ |% ?' }$ F4 |, j$ G) X  set-current-plot "Class Plot"8 c0 t* M: X) b  @7 v9 D
  set-current-plot-pen "low"  L( h/ N) l/ m' y5 Z9 P
  plot count turtles with [color = red]% w6 N7 D0 {" l2 S$ I
  set-current-plot-pen "mid"
- _7 r! Y. d+ |2 }2 \) I  plot count turtles with [color = yellow]
& d+ ?  F- G& D  set-current-plot-pen "up"
' ~% `, _3 h6 c! {2 e5 Z+ P: \  plot count turtles with [color = green]8 e0 d, r% q- {; \8 I
end
8 m, V. ], g" t4 l7 c$ i6 A- N/ ?1 ^# Y$ \
to update-class-histogram3 _* _+ C0 ]& ^9 q
  set-current-plot "Class Histogram"
, L; x" f) V% ^. @1 {  plot-pen-reset
- B8 J: t5 f) `( A  set-plot-pen-color red2 u" |! Y* r& {7 m; p  H( M  \" y
  plot count turtles with [color = red]9 p  Z. a, L6 [" Z6 n# L3 D
  set-plot-pen-color yellow2 U3 k6 F' I4 _
  plot count turtles with [color = yellow]
# E) w& ~+ m1 ]% j  j1 G  set-plot-pen-color green
6 |( d# w/ ^/ Q8 j, K* X3 r& |  plot count turtles with [color = green]: S% Z2 w& j0 C
end
! l2 K: g* J* K7 \  V! Sto update-lorenz-and-gini-plots$ R4 H! k0 U7 E+ v( I1 f- G1 A
  set-current-plot "Lorenz Curve"
4 x- q* p' n) v2 l. P  clear-plot2 Z/ m* F& z$ x/ u& E9 Z4 ^* P: F
% \( c+ c8 u5 A
  set-current-plot-pen "equal"
' E; k' e9 g$ x5 Z, ]8 F  plot 0
0 e/ n4 F% o3 f5 q2 T2 J4 {; o( J5 @  plot 1002 u5 u7 H% v7 S# i& l0 ^. G, f

& E" {3 v! d5 ^: m+ Z( D% v9 l. V  set-current-plot-pen "lorenz"; m- a4 h8 E' ^! f( l0 T" m
  set-plot-pen-interval 100 / num-people- K% \$ y4 e3 ~' l. ]2 l
  plot 0
2 s) _# R  n  M: M
, f7 u& `" D  }' y' O$ }6 `% ?  let sorted-wealths sort [wealth] of turtles1 j" P7 g2 v" I$ W7 V" U
  let total-wealth sum sorted-wealths
9 N% N4 ^  L: y6 n% B  let wealth-sum-so-far 02 p7 X0 V: |% J" r8 L
  let index 08 d  ]. g# Y. ]; ]  q
  let gini-index-reserve 0
, _0 x$ n0 o* {  R- X; i& _. o9 K5 t/ w7 S& k9 u' m
  repeat num-people [5 K( O1 J$ s4 g7 k% N+ m$ Z* D
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
8 F& s# ?, v  W% A# [    plot (wealth-sum-so-far / total-wealth) * 100
& F: p' Y9 M8 Y6 \  K+ D! ?    set index (index + 1)9 L0 k- }0 A7 M) g, ~* p# n
    set gini-index-reserve
* b% H3 i5 k- u( W' T. v$ Y      gini-index-reserve +
! y; R( Q9 P$ N* o$ F, n      (index / num-people) -7 o1 V+ B1 r9 e
      (wealth-sum-so-far / total-wealth)0 `" Y* n" R8 ?$ X% a
  ]
8 X5 p7 t, b( U+ g. G
" u( @4 ]2 X7 m  v$ `# [( R) J  set-current-plot "Gini-Index v. Time"' U4 j* m8 m; ~! G3 f$ [% V
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
! p. A( n5 V, }* Jend# W7 B& R* x9 Y% D% F5 {
to-report area-of-equality-triangle
4 Z- z; v; u: s3 U7 P  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
1 U2 k0 f4 }, @8 A& U- kend
 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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