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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
% z- l- i: q: Y! U7 L6 rglobals: O8 k5 K% }/ i; v( V. D
[& G3 G( [, _' Q1 w. ~- ^' y3 J! O3 ]
  max-grain   
' |# [/ \4 b, O! d5 A/ L+ A
! S8 @  P" c! x* e+ C8 y; D* ^]
9 U1 a8 E  w, @0 ~4 [
% a8 Z. C) ~& Qpatches-own0 ?& V5 t# g% v1 \
[
$ Y; x% o+ O$ @" s9 ~7 o. A  grain-here      
. w7 m0 Q9 t: J. R. L4 i' W( U  max-grain-here  " [: B  z$ [% L5 ]
]& A  p( H# b5 D4 V) A
. n9 f3 ^2 `( V- O
turtles-own% z7 y2 ?! |" v8 ?
[: k8 e6 Z" o, p' n1 S
  age              3 n) r. N0 R; L
  wealth         
4 h, m! t; r% a/ h  life-expectancy  ! e: L, F! i0 p+ |" x/ s5 T
  metabolism      
& k; @! G4 T) K6 s3 e  vision$ R' j* h4 ?$ ~* }* V
  inherited         & E5 z' \  n  `+ a) X; Y
]* \4 k1 d/ y) b, W" z' X; P: V
% D# U! B5 J# B" `
; r5 Z, g" i7 c3 L, N$ l2 n
to setup
2 p& Z* D9 o+ y* m, ^% ?  ca6 p3 }# q" J9 D# f. ?; ^0 u6 ~
  set max-grain 50
( P5 u" \4 r; M/ J, D6 A  setup-patches
( R! k) M2 S, `  setup-turtles
& |" W3 g* v" ^/ v! Y- I/ W  setup-plots
9 T/ K& s/ L9 t# F. b3 L  update-plots+ B/ M7 ~1 {# q& `7 Y
end
# z- I0 W3 y" i+ d, V1 a6 Xto setup-patches0 Q% D! O# D' }# Z5 h) o0 t  Z4 s/ |
  ask patches
" G; R: a7 ]! t* C5 S* ~2 _    [ set max-grain-here 0: `6 ^8 q; o0 j" @( c/ f
      if (random-float 100.0) <= percent-best-land. B, ?9 g! P6 Q
        [ set max-grain-here max-grain! O6 ^4 y* c: f% V
          set grain-here max-grain-here ] ]
5 |  v; A$ k7 X6 G* o0 c  repeat 5
# J; Q' g$ p% G. a: b- F2 s6 B) C    [ ask patches with [max-grain-here != 0]
5 z: f( h2 p+ ~! Y$ e& B# e, l% L" [        [ set grain-here max-grain-here ]
, I( O2 M" B, r; k      diffuse grain-here 0.5 ]
) v* m+ V8 l8 f+ c6 h* O  repeat 10
+ C# M9 M0 {8 z! v    [ diffuse grain-here 0.5]         
% w# q9 t7 {9 y4 H7 k1 U0 j  ask patches
/ C& h. r* Q  |4 _! p; ~  H( a    [ set grain-here floor grain-here    9 U' D+ k" h# Z& I  P% \' e: V
      set max-grain-here grain-here      ! G5 l' @) j/ f6 l3 ?
      recolor-patch ]9 ?% g- J7 z" c5 P; J& D  F' u* s
end% U1 c8 @  d0 f/ `+ J
to recolor-patch  , ?  r( a9 S& Q5 [- U: C
  set pcolor scale-color sky grain-here 0 max-grain/ U( \- }7 n* c
end$ I0 [* ~: |% V& c/ ]
to setup-turtles& S: O* k+ w0 S9 I0 R
  set-default-shape turtles "person"
5 e1 ^2 b$ @. T3 W, C; w/ z  crt num-people
! T5 K1 {  N2 ~5 }    [ move-to one-of patches  1 B1 E1 u- X% p: N! _1 f) R
      set size 1.5  " |, d0 ]' c; N* {: n
      set-initial-turtle-vars-age# j5 Y  q6 Z- @
      set-initial-turtle-vars-wealth% L" x  a" X: q4 T' t' O1 d9 A
      set age random life-expectancy ]: Z5 [7 ?% W# l7 X
  recolor-turtles
! O' f0 s' a  @4 hend
: \" h/ {# m" S' G$ L
5 @4 Y; u# d. T; U  z# _to set-initial-turtle-vars-age5 z- [4 t9 j! X
let max-wealth max [wealth] of turtles( k; ]' A' a+ k( L  i9 z' G
    9 C# ^1 E6 a: Z% y6 ~$ x
     ifelse (wealth <= max-wealth / 3)! C  P7 T8 W/ P; B* M" Q! {
        [ set color red
0 x) h3 R8 v/ Y5 O          set age 0
- A& U( P4 Y2 s  u4 Z% K+ D8 z          face one-of neighbors4 5 `6 U0 R1 A3 s
          set life-expectancy life-expectancy-min +" j$ H/ ?0 f+ ?4 f6 t
                        random life-expectancy-max
  v" z9 y5 C( N. k  L2 _          set metabolism random 1 + metabolism-low- ?2 ^0 H0 @$ a  h! J
          set wealth metabolism + random 30
9 P) [. t4 F  ~          set vision 1 + random max-vision3 C" {* w; F; @2 R) h2 q3 l/ Z
             set wealth  wealth +  Wealth-inherited-low ]) a( H* y& f0 F" M; s" P4 k3 I/ d
        [ ifelse (wealth <= (max-wealth * 2 / 3))& U3 v: y5 B. N
            [ set color yellow 1 o" ]6 h& w* V; N4 C& X- M( `
              set age 0
9 H! u. e+ D4 n: D              face one-of neighbors4 ) d: ]; n9 P6 k
              set life-expectancy life-expectancy-min +
8 o/ U4 P4 }: Y# W: O                        random life-expectancy-max + 1
! Q! S" j1 \5 N9 D7 ^! u              set metabolism  1 + random metabolism-mid
( k" C. c% q9 I7 d8 ]5 q, n              set wealth metabolism + random 30
* V2 H0 [) X+ j$ X              set vision 3 + random max-vision3 Z( d, ?9 H6 W) O, J
                set wealth  wealth + Wealth-inherited-mid]' A: [! z& q9 l7 G
            [ set color green
. l' `$ a: h7 u, V+ J; f              set age 09 U% W4 L5 o; }# r- L& K" y
              face one-of neighbors4 3 z  f6 w. _: l) v% `3 j
              set life-expectancy life-expectancy-min +* _% ^2 \% s! e! P& C
                        random life-expectancy-max  + 2- [/ _" q* ]" U* |. F" T+ u
              set metabolism 2 + random metabolism-up
$ x1 r) L% S; J1 J; j6 `              set wealth metabolism + random 30" ~  A+ l4 }7 S
              set vision 3 + random max-vision
! F  N+ q* N2 ^$ G; h! w              set wealth  wealth + Wealth-inherited-up ] ]
  o/ {% F$ d7 ]  ` ) h) S5 m1 v+ q4 l
end+ V- T$ n( F+ f7 b  P8 v
to set-initial-turtle-vars-wealth/ I4 L6 u- Q+ Q4 M/ J
let max-wealth max [wealth] of turtles( ?. Y, D& o3 k7 c- F- F/ R
          set age 01 n, f+ Z8 b1 F6 l8 M
          face one-of neighbors4   i2 {. V- _6 {
          set life-expectancy life-expectancy-min +
' T! P5 g. P% Q4 j4 y, c- M% ^0 `. y7 J                        random life-expectancy-max
8 W0 p, U, `3 q          set metabolism 1 + random metabolism-up
- |& [5 u' J4 [9 Y: W. n          set wealth metabolism + random 30+ D( u& `0 U" `9 ?% s! c- S
          set vision 1 + random max-vision
: t) c5 a$ m9 [9 ~end
: d. G; t2 P3 wto redistribution: ~6 F% v$ N; Y( ?
let max-wealth max [wealth] of turtles
( z4 r. i+ `+ Ulet min-wealth min [wealth] of turtles* |- `6 o& s5 {, q2 D! y1 ^
if (wealth <= max-wealth / 3)
& y! t: i! T' q [set wealth  wealth + Low-income-protection ]
: V# M# X  x8 G$ rend8 [4 k, z: |8 U- P7 ?
          % o8 a, A2 q- p( n+ V" Y5 }
to recolor-turtles
5 p5 |: h5 [3 T  let max-wealth max [wealth] of turtles' ?" C- ^2 Y& p7 w
  ask turtles
1 s! ^  B2 v/ E& B/ a; F   [ ifelse (wealth <= max-wealth / 3)
# D7 l$ q3 z* R0 c2 L9 j        [ set color red ]5 {" w* D9 U1 w  [
        [ ifelse (wealth <= (max-wealth * 2 / 3))
2 I% w# H. V% d- l1 K* V            [ set color yellow ]
5 `9 Y. K* \% a# ~, b1 t            [ set color green ] ] ]
: A# e4 d0 A) s. K8 x ask turtles [ifelse show-wealth?
2 x( T* H  _2 d) b+ a    [ set label wealth ]- y$ Y1 v( v" v& u3 @# c
    [ set label "" ]]
1 h1 ~4 i" N+ X  A+ U  N, K6 n) Vend
. t$ q5 i4 A# G, i& g. P
/ N- h. S/ E1 |2 ]4 k. V8 Ito go
# D; {0 ~9 W- b& G  ask turtles
: I: ~0 j* _+ g# b& S0 w    [ turn-towards-grain ]  ' [+ `: G, l- z! l: H$ I: ^9 V
  harvest) L0 U8 r$ v+ H9 i9 t, I' e8 }9 _
  ask turtles
- o! C: o" V' ^7 d! q* }5 J  D4 [    [ move-eat-age-die ]
/ Q# b/ N1 V  G9 R6 \) q+ |" T  recolor-turtles! a7 A* n& F- T- {
  if ticks mod grain-growth-interval = 0" ]% i/ ], c' R$ _- q, [
    [ ask patches [ grow-grain ] ]
# N: e- B( H) w' F8 Y   
( S, a" w# ?; X1 p  if ticks mod 11 = 0
2 p5 f7 h; C9 @) @$ X9 W, z  [ask turtles1 q3 O+ n& }9 I( m+ W& I# [
  [ redistribution ]]
0 \+ U5 c* S  K- Q& V- B8 n  Z  if ticks mod 5 = 04 Q( K1 P9 f- x
   [ask turtles
! ~" l& }( c- s! T& X8 }" h2 G  [ visions ]]/ a0 q& D8 k9 V  E1 u
  tick
7 Z0 ?# I; v: X4 |; Z  `2 c7 P- h( E  update-plots
8 q8 x/ P9 y1 X# I0 T; Cend
' Y  R+ J" t) k% p" N1 y+ f+ G% O+ Hto visions
; v- @. q& R) w5 i set vision vision + 1
3 D- F) e0 t# ^  lend# D, c7 x5 L/ i3 Y( f
2 r) g) Q) A# l/ \+ p

  i; U( a" K8 n0 m& z
  i, E1 E' I' Z$ M1 sto turn-towards-grain  7 y  r1 `2 A9 r/ [3 U: ]
  set heading 0# L' ?/ S0 _' X) E2 j& A
  let best-direction 0
/ `/ @2 p8 ?- ~& Q  let best-amount grain-ahead5 P/ o' N: u) `' S2 D8 m
  set heading 90
7 T$ ~$ W; e/ d" m8 p/ K  if (grain-ahead > best-amount)" f: J* e. c: N4 o/ |
    [ set best-direction 90
& f$ O2 }' t  M, a      set best-amount grain-ahead ]( j9 @) f2 s9 I
  set heading 180
) i. R1 \; J$ Y4 N" n9 _7 ^  if (grain-ahead > best-amount): a# q( e5 o0 E" p+ H! d+ f  u
    [ set best-direction 180
3 Z$ y& o: Y8 k8 ~      set best-amount grain-ahead ]
' B) x& A+ J" ^; ^* g  set heading 270- C, U1 l" l& @; r& w& @
  if (grain-ahead > best-amount)
' i& r* @7 o. T    [ set best-direction 270+ {2 q* h5 n$ ?6 P' V
      set best-amount grain-ahead ]
! ~4 Q" D; t1 \2 M* g: C+ e4 _: B  set heading best-direction, G  n5 u2 j6 N7 r/ D: q/ p% e
end
( }( J! x8 r, c$ @  S4 f; S' T, ?6 J- C6 y% ^

) l/ Y( U' i- q( o. F: Oto-report grain-ahead  
# ?* O- D. L# f, g& {! P3 W5 J  let total 0
# \# C+ n* V; |& o; B  let how-far 16 P4 R# ~+ j6 W. R8 p/ [% F
  repeat vision
: s' y, A7 e5 |0 |2 G  v% r& G    [ set total total + [grain-here] of patch-ahead how-far; S+ N$ {; D3 }! M. g  H5 c# {" L
      set how-far how-far + 1 ]* U1 t1 y3 b9 q* c
  report total
- r; C, K  q% h" c5 M% X3 jend  N  c# E, q8 n& f& ~
+ M% P. ?# S" R! S* w
to grow-grain ; a5 y8 q* ^0 k
  if (grain-here < max-grain-here)
1 M; Z9 V6 D2 b2 t. O/ z    [ set grain-here grain-here + num-grain-grown
- c2 d. `2 Z0 p+ b2 h8 V; T      if (grain-here > max-grain-here) 2 t  W1 U4 `  ~9 n6 k
        [ set grain-here max-grain-here ]
4 k3 Z+ k' B! P# \. g* i, E      recolor-patch ]! ?, i8 b2 k) j( ?$ H0 R( R
end
% I  _  j& z  r. Hto harvest
  ]9 V: c" |7 ^0 ^, m  ask turtles
% n& e5 }* X( q: H    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]/ p- [' D5 c, y; w" [( q3 a
  ask turtles5 Q4 W! J7 b; E, a7 j" Z% c! O
    [ set grain-here 06 T1 \8 D  q1 t8 H$ U1 E) x
      recolor-patch ]& K3 r/ \0 N9 Z0 o3 S1 l
  & T8 X: o( r/ M9 y
end4 g7 Z) |: Z+ g, z1 ]/ S* H

% |* _. `& N3 J; @& X0 k' m) {to move-eat-age-die  + d. x& B0 t, {3 w1 A: @
  fd 16 k! M$ Z4 L: @" @/ D6 p  W
  set wealth (wealth - metabolism)
$ e7 k7 u" o' O. C6 m    set age (age + 1)! u6 Q( H" L  w0 w
  if (age >= life-expectancy)
/ o( t0 R/ E+ q    [ set-initial-turtle-vars-age ]
; N" {* P7 W2 b. i6 O6 ^1 T% k  if (wealth < 0), |2 e* J/ c. B% u
    [ set-initial-turtle-vars-wealth ]
1 j+ j7 e- {4 M3 B6 @' Y! @    . y/ |  X! Y& |7 D
end/ o: h% d1 y# x* i7 u

/ O$ c1 d$ l2 f
" p1 L1 O- s" k5 Z; E) ^8 h. S* gto setup-plots2 p0 B; k) ?6 b3 I( {. c
  set-current-plot "Class Plot"
" B1 p- \$ C" b  set-plot-y-range 0 num-people
- `+ z% }1 J, C- G  set-current-plot "Class Histogram"; r* w" p9 o+ C4 X- H3 u
  set-plot-y-range 0 num-people5 }- Q5 o* n* f) ~5 C1 T
end
+ x* Q  ~$ [& S6 ~$ }4 A. f' d( K. a
to update-plots9 q1 p0 k8 l2 j- n
  update-class-plot
2 k" Q+ e- p0 {2 K; Y# F8 Y  l  update-class-histogram! U- k+ R' A# |$ N
  update-lorenz-and-gini-plots
2 W1 |# {/ n3 E& Lend7 O$ Y- w  u/ e  H4 w7 G9 ~
6 y3 v2 x5 ?5 c# C7 w% B( Y( y8 ?
to update-class-plot
) T" f: `% Y# e- g; j  set-current-plot "Class Plot"9 S, ~- a) e' _! s
  set-current-plot-pen "low"3 J6 |, W8 |% \
  plot count turtles with [color = red]
6 E# n3 _1 g7 B. @! ^# y. B9 H" c6 U  set-current-plot-pen "mid"
2 r2 W. E9 l0 I' Y  U- o  plot count turtles with [color = yellow]2 W0 T+ ]% ?% c
  set-current-plot-pen "up"1 U' W9 a) f) A; w4 j8 u4 N
  plot count turtles with [color = green]: W. V$ E  [* _' g
end7 P/ `% z/ e1 @  o' H9 a
1 R& C2 D' f; z9 _8 m+ D5 ^5 t1 U
to update-class-histogram
1 j! E* u8 D5 E7 e3 e4 ]  set-current-plot "Class Histogram"% C) s, r: ]: }' q6 N+ {4 k, t
  plot-pen-reset
5 m2 G! c, _3 ?% d/ o  set-plot-pen-color red
& ^0 o5 G* q/ j! K5 S  o  plot count turtles with [color = red]# ?( P. _& `( Z2 N4 _
  set-plot-pen-color yellow
9 r( [( _+ E8 a( K% o  plot count turtles with [color = yellow]7 P8 q9 c" Q" y. b: Z
  set-plot-pen-color green1 N5 a5 R5 R7 a
  plot count turtles with [color = green]
! G% @7 B/ x, ~$ y+ Nend( @& c' B) t& z% Y1 w* c
to update-lorenz-and-gini-plots
7 S. Q' b0 ]4 }1 ~$ N. X, s  set-current-plot "Lorenz Curve"6 a/ U0 f: l" q
  clear-plot
! }2 w' k, z7 G  N; p$ s0 X1 @  L/ ?/ y, l% j* T
  set-current-plot-pen "equal"3 {) N1 E2 ]" u( f0 D2 H% A
  plot 0
6 q+ I8 e1 e9 O% e& C5 P% Z  plot 100
' A/ S4 H' x  _9 T; F- o, k2 o
0 l7 N% V- `, f5 Q  set-current-plot-pen "lorenz", A& B& M" {0 C% l
  set-plot-pen-interval 100 / num-people8 Z7 P% L( n$ Y: \; ^: z; e* r
  plot 0
3 L/ q0 D, p7 q; E/ h& k# J- k$ n4 W) k; ]1 W! ^4 n
  let sorted-wealths sort [wealth] of turtles
3 O1 R8 R, s" D  O  let total-wealth sum sorted-wealths# y  w% `2 Z$ F1 h, c. \6 e$ Y' r
  let wealth-sum-so-far 0
5 ?* k) h4 F& k% T2 \4 i  let index 0
* g+ \5 g  \6 N5 K  let gini-index-reserve 0
, W# b- X" E' M/ M
; E, l- _; x+ b7 X& C8 ?. z  repeat num-people [8 q: T6 z* f) n0 w2 h2 E
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
# A& I0 M; k: f, b% f& \* Y    plot (wealth-sum-so-far / total-wealth) * 1002 w; [( f+ H5 g- {" G
    set index (index + 1)+ c4 g1 L0 {3 V9 g2 ?7 t
    set gini-index-reserve) ^( z! _% ?6 [/ F+ \( j) l
      gini-index-reserve +
$ G; |! Q/ s8 o; i$ T4 A      (index / num-people) -
5 B! Q" K! ?1 U: L& G5 T. C# D      (wealth-sum-so-far / total-wealth)
1 \* u; k8 Z& {2 q# b  ]3 Q: w, ]- y7 S* J5 w( K# p

- l, P" o6 J4 ]( r, M  set-current-plot "Gini-Index v. Time"
/ v* s) `3 }/ Q% d  plot (gini-index-reserve / num-people) / area-of-equality-triangle# L  T" F7 f' k8 y1 C" S6 [
end- m6 T: L' `6 n+ q9 ~+ ]; b* {$ C
to-report area-of-equality-triangle
' s' M/ \6 R* H  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)' l& w( Z' f. @6 l- Z1 X9 F
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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