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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 k' p: E: c6 Z- `- @! Z' e
globals
/ ?" Y& k. i! X" j1 c" X7 h[
0 R: B. V1 m) W5 U  max-grain    ) Y! u, Y, j1 h( S1 Q1 l! a
" C: i$ X& A  a% }$ k1 G
]
9 ?& b5 X; u% q/ J7 I3 Z4 w- H. }
patches-own
* n9 ^# A2 X- m[
- p4 i$ W! v5 Z) X6 w7 J  grain-here      
* Y' N0 g* W* s' V- e" m  max-grain-here  
( s. a# G: ?1 l. j1 w]2 \& s/ e/ \' L+ t1 d
2 z" r4 G& X0 {1 W. _
turtles-own( ?& ~; R8 ~* o
[2 |+ ]* C. @/ ~& s, e, F
  age              ( v: Y# S0 h4 N3 P% ~$ f
  wealth         
; G- |9 T7 |6 }& E4 ~9 u8 ?  life-expectancy  
" q$ N2 ~* q8 Q# S4 Q  metabolism       8 d; _5 X$ P" B& u
  vision
$ `; D5 q) G% F0 p/ V  E( Q& O  inherited         & C& m. z' h- ]9 P* Y: X' `% l
]; N; o1 w+ L% H4 @! J

0 }2 H2 R* Y- c) d$ S1 ?  s; Y$ v+ w  C: W1 i  [
to setup" R1 {6 J  ^/ O+ D) }/ ]: C
  ca
! F( L& V7 \9 _) @( k2 p9 T- q  set max-grain 50
  [& e* m4 Y+ _/ ~: t" n$ _  setup-patches
2 p, g6 X* w! n  setup-turtles
: j% K) V- Y' K  setup-plots- e, J* H7 S& E: t
  update-plots
, w  i. {* @) h9 t4 E+ lend
# G: ^- c1 P. g# i7 Dto setup-patches
4 E% x5 c5 x6 h( s/ N* V  ask patches
9 Z/ D" C8 c. T  i" ?    [ set max-grain-here 0+ U3 y! I' T, e1 a+ {  Y/ `5 U
      if (random-float 100.0) <= percent-best-land
6 ^: {; X6 Q) H        [ set max-grain-here max-grain+ \& Y( v3 E$ A+ L6 S" t
          set grain-here max-grain-here ] ]
  R! b5 \; [) v: x  repeat 5
  d/ J! Z: a' ]& ^/ g0 n    [ ask patches with [max-grain-here != 0]  K& [  w8 e9 @9 a( I2 ]* ~
        [ set grain-here max-grain-here ]! V; X  e& |0 M  W4 r" `1 ^
      diffuse grain-here 0.5 ]2 T. x: V& }3 i9 C# J9 o
  repeat 10: O1 J: t# E9 D- o/ ~9 O: j
    [ diffuse grain-here 0.5]          , F, \8 n  {: j, C3 f
  ask patches
# F) A2 S  `7 T( _% T    [ set grain-here floor grain-here    1 \9 d7 P' T& K5 ~3 U# a
      set max-grain-here grain-here      3 M9 X0 W' n5 @
      recolor-patch ]
, t, T" h' X- y5 Iend2 J$ r0 q5 O9 x+ s
to recolor-patch  0 z6 T& n6 F4 c& Y
  set pcolor scale-color sky grain-here 0 max-grain/ ]  n7 _" \4 U" k1 \
end
% A' F" G6 a& i" M7 U: Uto setup-turtles
- l9 C' a6 H. R  set-default-shape turtles "person"6 X7 g, g% d& y" T
  crt num-people4 v' g& W" Z2 T
    [ move-to one-of patches  # N) {% }* J3 y9 j. O. [
      set size 1.5  ) Z9 i! k# F2 O6 }( V
      set-initial-turtle-vars-age
/ G3 ?2 |! I$ @* ~2 ~7 @: X$ n      set-initial-turtle-vars-wealth
0 i- J+ x" _# G" H! }      set age random life-expectancy ]
3 J2 m& e, p- r0 @' e1 g+ U3 C# k  recolor-turtles
' c. A; \1 C: t( oend
/ N( `& s4 s3 Q- R4 M
5 q) }: s1 k! `* ?to set-initial-turtle-vars-age* _3 \* s0 a/ a% j  W. U
let max-wealth max [wealth] of turtles& `" K# ?4 G" x4 ^
   
5 Q  ~8 [; X+ C3 M" W     ifelse (wealth <= max-wealth / 3)
3 H, q  n$ s6 @1 D1 `/ p        [ set color red # |* W  n) p+ h4 a. Z0 n% y
          set age 06 h; l) {* ]* a4 \
          face one-of neighbors4
: H' U4 s8 v: j0 B/ R  g- g          set life-expectancy life-expectancy-min +
5 d3 x% k& f, W* P                        random life-expectancy-max 4 i2 h, v5 K4 Y' f% d
          set metabolism random 1 + metabolism-low  J& X, X# A/ M: {! `" m: W
          set wealth metabolism + random 308 C' R, {, S; v2 H
          set vision 1 + random max-vision
! `# ?+ }/ L- ^' [. F( o8 ]             set wealth  wealth +  Wealth-inherited-low ]0 W; A* ~" S! {# b
        [ ifelse (wealth <= (max-wealth * 2 / 3))
: a& ~% \1 n5 e- r  Q' U            [ set color yellow ( c+ t: c; J% E
              set age 0
( p$ {5 {) I' B  x9 ?              face one-of neighbors4
: U8 z/ R7 C5 [; m% @+ T* w2 W$ {+ r              set life-expectancy life-expectancy-min +7 T1 J& K4 T  s. y- w
                        random life-expectancy-max + 1
: m/ G  V& d' {) C% C              set metabolism  1 + random metabolism-mid/ X: _* b6 }. e0 F
              set wealth metabolism + random 30
5 U+ h" I) ]! |              set vision 3 + random max-vision
# m# r: X# t& ]$ y- j; q                set wealth  wealth + Wealth-inherited-mid], j9 }4 V9 V# q/ P' M3 T# L
            [ set color green " G3 N8 ^. i; c9 M/ B$ q" m
              set age 0. Q8 N/ O7 R7 O# j
              face one-of neighbors4 : Z+ g& W2 f& n) @0 P3 Z% ^3 C
              set life-expectancy life-expectancy-min +
" f, Q1 `. c9 f. w' {+ N7 M$ ?' W+ N                        random life-expectancy-max  + 2" E! c/ |$ O6 R+ p& D4 S6 Q. |
              set metabolism 2 + random metabolism-up
; Y1 j, G1 K7 F' H& E+ Y2 [5 N4 h              set wealth metabolism + random 30: i# I3 C- n7 k' }" G
              set vision 3 + random max-vision
; k0 h8 X8 V: v              set wealth  wealth + Wealth-inherited-up ] ] & J# u! L. Q9 N2 E6 Z+ j! f- P
) o( S# M( n& [* ^( X6 B7 P; W
end
" E8 j$ C/ g4 N4 Z; t2 ?, A* zto set-initial-turtle-vars-wealth
- U, o; N, L8 R/ r8 c) c let max-wealth max [wealth] of turtles* G' Y( i# n5 h5 `3 x5 q8 N
          set age 08 X* |3 Z7 U7 K( S' h
          face one-of neighbors4
8 j6 G8 t) M; r% j5 d5 V7 H9 ]          set life-expectancy life-expectancy-min +
  |: U& K8 y6 R/ L7 N                        random life-expectancy-max $ L  K& i# e3 O1 y7 d4 Y3 E' I2 \- q
          set metabolism 1 + random metabolism-up! t' b8 \5 H$ T) ]" M5 l
          set wealth metabolism + random 30
5 Y) w# |( N9 w, c9 p( x* J& L$ a" U          set vision 1 + random max-vision ! q1 x% U9 n" P5 p" D, G8 b- \+ _
end6 Y% N: a+ H- q7 V1 Q* r( _! z
to redistribution4 N6 ?3 a& n/ V" A& I
let max-wealth max [wealth] of turtles# t# l2 ~: W, \: }: n( |" h
let min-wealth min [wealth] of turtles' Z$ l  E, Q1 C% L3 M
if (wealth <= max-wealth / 3): c! b; ?0 K1 O% \6 C$ @
[set wealth  wealth + Low-income-protection ]1 J# J. p2 d% y
end; V; j5 l9 e/ |* K
          2 k* y/ R1 Y" Q) `1 F3 Z
to recolor-turtles( J8 c1 [; Z5 ^& @' r
  let max-wealth max [wealth] of turtles& L- L. `' c0 ?& k9 @, ]3 y
  ask turtles
! l, H$ X( y/ H+ r5 e3 V! R   [ ifelse (wealth <= max-wealth / 3)
6 w2 p2 B$ y# ?  Y* P8 ]$ b        [ set color red ]7 {6 y) T- g" @. t  L
        [ ifelse (wealth <= (max-wealth * 2 / 3))
# a) F: `; b0 n& S  _/ o4 [            [ set color yellow ]
: m) j8 g: y" [7 X            [ set color green ] ] ]% Q8 ]# D' }) o. p( q
ask turtles [ifelse show-wealth?& U' e/ o( v+ f# X0 K. v
    [ set label wealth ]1 y2 j0 d2 V% }; B
    [ set label "" ]]7 k: }! O2 }) e& d7 k3 Q% h  O
end
+ j. e  R/ J, u* C% ?1 q1 p7 p  y8 C; Y
7 g3 D/ b1 R( {9 Wto go
" r* }# T/ \: Q# b$ H& m7 {  ask turtles
2 C, _& N0 }* M7 Z/ R    [ turn-towards-grain ]  
" S; T. x% l; N: V* c  harvest4 o/ V2 t' v* v4 C1 F7 r6 b6 n
  ask turtles
7 g% C. K/ _* f2 m2 |6 n- o$ F    [ move-eat-age-die ]& h0 g# U# C3 @& Y/ [7 S+ Q
  recolor-turtles
+ B2 ]" u8 c) W4 f: d6 c3 d  if ticks mod grain-growth-interval = 0
3 F- y, T3 m* N, `; Y- }    [ ask patches [ grow-grain ] ]" i9 l+ B3 b9 i1 G4 c1 L
   1 O" z6 S! c% n
  if ticks mod 11 = 08 k; g6 c/ W2 {1 D
  [ask turtles
) ]$ u9 O. U8 \6 u  [ redistribution ]]
% ~& M- H7 g4 X2 O% L* ]0 i; v  if ticks mod 5 = 0
8 f: Y0 i. O2 R& ?3 Z   [ask turtles! x' ~" c/ P, O5 ^
  [ visions ]]
/ {! S, d# R7 R" |: N  tick0 u( E$ M3 W( a& u
  update-plots
( O1 h! K' l- m( y" Q. L4 xend/ g! J2 l' B6 S  E* K. Z1 m
to visions, x2 c+ t$ e# Y9 A2 H7 C
set vision vision + 1 4 w8 B0 M( ~1 T3 }, p
end
7 f$ [( j9 J6 q) s3 c3 V/ ~  ~

7 b5 j' A/ l5 ~" R/ z6 M7 m! ^, m! }$ B( {7 w( M1 h* p1 q; U
to turn-towards-grain  + I2 n3 S. J% K- v8 |, C
  set heading 0
9 c" b4 ^1 N. n. v  let best-direction 0
3 A- i4 I7 }9 i3 F  let best-amount grain-ahead* c( B' w  B, b+ b- ]
  set heading 90
3 y% U3 U" D. |  t' {# |% c  if (grain-ahead > best-amount), f6 h; O* k& v% ~- I
    [ set best-direction 90$ t1 O7 @) l9 r' m0 Y4 @- B- [
      set best-amount grain-ahead ]
) \( t5 ]* b; Q! Y# |9 v  set heading 180& \( L$ Z8 X( ]- w
  if (grain-ahead > best-amount)8 t7 u9 w, ?$ I+ e
    [ set best-direction 1802 u" F* @4 `9 o0 \$ t6 A; D+ c
      set best-amount grain-ahead ]
! J, ]9 P; M$ a  set heading 270
# e: @) F3 t. O6 \) q: j9 F) [+ n  if (grain-ahead > best-amount)
& b5 p9 G! B; X# o* `    [ set best-direction 2701 Q! b% u' {3 @  g1 X/ |
      set best-amount grain-ahead ]
- [+ [5 R$ I+ x5 s3 F  set heading best-direction
# \4 X/ x4 h9 Z: P5 gend& ~. q( \6 G+ C# D; \" y

) p% U7 ^3 P/ p+ W  i3 ?
( N' g' d8 o& I8 t; _: o& Hto-report grain-ahead  . Z' F4 s3 ]1 C# N7 n
  let total 0
) p5 _3 L, F; o  let how-far 12 B9 N: N9 W& Z* P1 R! F1 R
  repeat vision- }3 |# p) Q5 h1 e1 y: U% H
    [ set total total + [grain-here] of patch-ahead how-far7 r% I2 ~+ ?/ A1 g6 D
      set how-far how-far + 1 ]
! ]! T" b/ [% s4 A% V2 e6 L  report total
3 r$ t$ y7 {5 k# zend' W& i+ Y2 c) h3 Y  |) w, X

: h9 Q$ ?3 q" Z: f2 \to grow-grain
9 K0 M6 F. @) W$ b  if (grain-here < max-grain-here)  t4 S8 v9 H. S8 M- z4 T. ^
    [ set grain-here grain-here + num-grain-grown6 I5 t3 q; Z4 m6 j* h( O
      if (grain-here > max-grain-here)
/ |  e# G8 t) @        [ set grain-here max-grain-here ]
! c2 j' V1 O1 }1 }      recolor-patch ]
* \- J) V7 i- a( tend
; `4 v, x! L  e2 d4 Yto harvest- g5 |. k0 I' G$ ^
  ask turtles
. F, v" _) L- t  J; I4 f    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]) E" r0 j8 [" Z$ v
  ask turtles' H1 z. R, m- `* e5 a
    [ set grain-here 0
3 O! C: w# G  Q2 s4 s9 c      recolor-patch ]
- Y8 w7 T: g5 v3 g  % Z/ N% Q  \! d: w0 F+ S
end
$ k+ O: z2 X7 L
) Q$ X9 q! E- Q' k; dto move-eat-age-die  0 `8 c1 G; ?* W  l! ~) K
  fd 1
* k# w7 x  Q# z% L  C: }# o7 u  set wealth (wealth - metabolism)
! q# a- A9 r. _6 h: u( s, ?    set age (age + 1)$ }5 n; p- [* b$ W" b# J
  if (age >= life-expectancy)4 u6 \5 ~$ t% k9 n: L* Q: ]6 }3 _& [
    [ set-initial-turtle-vars-age ]  D' S' M* ^* ~* l, {
  if (wealth < 0)
; b, [% S2 C. @    [ set-initial-turtle-vars-wealth ]8 L6 n% O+ G7 C
    $ ]- k9 B1 i0 C* x" q3 ?4 W- L
end
" H: q. {2 B4 F8 `* h
! ~- l) D# `# i
. P( m8 b( X2 N( R6 k7 yto setup-plots! E5 H' y# T4 ^
  set-current-plot "Class Plot"- q: v7 {# K- }( s; e* E
  set-plot-y-range 0 num-people
7 ^' H4 z, d, k- a. @  set-current-plot "Class Histogram"
  Y/ K: B: c7 G6 `  set-plot-y-range 0 num-people2 M% s/ P9 x0 M7 `
end
" s: i* I7 u3 {4 c: m5 `3 K6 Y( N: O- \# ]8 z) P6 m
to update-plots
3 g# x9 {! a. f7 l( g  update-class-plot
- ?$ Z& A3 ?( {# c/ j  update-class-histogram- d$ |4 u* V8 G% Q
  update-lorenz-and-gini-plots
. h" G* v2 B/ A6 s* rend
& L  P5 K, b9 J- C* a, W! a
$ a( f- p* L& U8 ^$ |! cto update-class-plot
! H$ M% C% X8 ~: J- L  set-current-plot "Class Plot"+ \+ L0 ]% Z/ n7 W3 b1 x
  set-current-plot-pen "low", C7 G1 R! ~- J) S( r
  plot count turtles with [color = red]0 \. U# ^# N; B0 c
  set-current-plot-pen "mid"! \- I# q) Q5 C" g
  plot count turtles with [color = yellow]2 @" W  f$ I, R" O
  set-current-plot-pen "up"8 C& `2 `& M1 H* \
  plot count turtles with [color = green]- H6 ^* f  Z" K7 o
end
3 e* s8 I) V9 U7 u3 x6 l3 Z; w
( N' d" F2 y2 ]0 a& d# Q, Yto update-class-histogram
! ?/ N# s% M; c) i0 ^  set-current-plot "Class Histogram"
  G: S9 K1 ?1 B3 ~- A# C- X! y( K% Z+ [  plot-pen-reset
& H: I+ N; ]' r& e! w/ c  set-plot-pen-color red' W; ~! M6 f. [1 z
  plot count turtles with [color = red]
0 v; |) W% z+ y0 [  set-plot-pen-color yellow
% o0 U$ X" x0 G. e2 _: G; z  plot count turtles with [color = yellow]( r9 m6 S4 K* Q
  set-plot-pen-color green
5 e" p% B% t; S6 e  plot count turtles with [color = green]
* C7 s& y2 R+ v5 M% J% j% o6 B2 send2 P( I$ ^8 {& e
to update-lorenz-and-gini-plots
9 m/ g( x# C4 y0 ?9 r  set-current-plot "Lorenz Curve") \+ z/ k7 i$ G7 j
  clear-plot
) U: J/ H2 S# G9 X
* F& L4 g6 W. `( n8 V1 [  set-current-plot-pen "equal") n) C* B$ w$ L" n/ y! x& V
  plot 0
! \/ G6 Y* f0 O" u9 G" ]' ~2 [) w  plot 100" H4 d& y4 u0 ]# O4 F
" }" M+ j5 g* D# C: I- i
  set-current-plot-pen "lorenz"
6 z; p3 r+ `6 o) {- r' C, g' l  set-plot-pen-interval 100 / num-people
9 e" d( J  l9 x  plot 0
5 ~. v4 d9 l  w# R  j
2 [6 G& z+ Y5 l  let sorted-wealths sort [wealth] of turtles1 y2 j9 [% q, f. e
  let total-wealth sum sorted-wealths$ E# \' E$ p( C$ f# S9 L$ \
  let wealth-sum-so-far 0
* U4 [' _% y+ h" v% f/ r2 d7 R  let index 0$ {& f9 l3 M: A: p9 Z% G3 C# h
  let gini-index-reserve 0
7 s+ r# w' Q. m' c- v! b
9 Z+ T2 i) R4 L( D9 q* }  repeat num-people [
6 D( S- j: Z( G, o0 K/ R    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
, W; f! b, V6 i$ x" t: }    plot (wealth-sum-so-far / total-wealth) * 1007 g7 E4 j- f% }2 b6 ]2 h0 W. ^
    set index (index + 1)
- r. R$ \, i6 d6 d1 N) _& X/ f+ L    set gini-index-reserve
6 @3 ]. |' E" q% ]* O      gini-index-reserve +/ A- C9 j- H1 a7 r
      (index / num-people) -, L9 C& }* ]. w5 j: F9 V9 D. |
      (wealth-sum-so-far / total-wealth)  x" B) N& u, @& K" q. @
  ]
. u; T0 z! L! x2 {" @: H. w" ^5 U6 v
  set-current-plot "Gini-Index v. Time"
* L2 w4 G  ?2 p* s; B0 a  plot (gini-index-reserve / num-people) / area-of-equality-triangle
* d; p8 n$ A( j- Z4 a( U( _# _( send8 t6 d  I6 C3 O0 i8 a
to-report area-of-equality-triangle
+ n; C5 O; P7 {' E- v  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
, b6 |" N8 P% y& r& G( _: vend
 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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