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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- k4 B* f2 [8 I6 k
globals2 r& E2 ]& j; O$ T
[8 ~9 P4 F; ~( n- i# c* p' N
  max-grain   
' J- b9 a' _* L7 N! g7 ~+ j5 s- i0 ~- X. w' E( O6 ^
]6 i  y0 l4 P$ _6 c5 V* {

! f  z/ u! W) [7 Y8 d: Vpatches-own
8 @" @- I# \2 c8 s$ i[8 Y9 o/ z$ I& S7 \
  grain-here      $ h; y# o4 d  g' @4 s, b
  max-grain-here  8 M( o( q; ]! U- Q( ~3 D8 @# p
]
$ L) W, ?$ p5 o( y1 S8 \* @7 @/ O% @& n% J3 Y: ]
turtles-own
# y( [& T& E% n0 L$ R[
+ A& \8 W9 ]5 O  D# f  age              
# I9 H3 L8 e5 [2 P( D/ ^2 @  wealth         
% j- H- ]" F7 @& J- E" P  life-expectancy  4 d3 b: X7 {3 P; M* r
  metabolism       * `: f7 w8 D; H* K& ?! b" I
  vision
2 Y1 z% h/ r' c0 D  inherited         
: s7 q4 k+ V8 r9 ]& y' c9 []
8 c' R! p: W5 J( B: G
5 u+ w6 {, u+ s
5 Q5 }. y" {3 ito setup
, {) W  j$ T; g1 y9 C  ca2 i( O8 o) V4 t, J
  set max-grain 50
8 s8 P& s( F  `& [% x8 }  p& W  setup-patches& n& O3 a: h; u$ ?7 \: E7 X. P
  setup-turtles
* h3 _7 w* ]& w9 h8 X: n3 \% y3 E  setup-plots
  k- `" O$ {+ A" r" X0 a8 o  update-plots, r6 ^3 k. F0 s3 y& Y
end7 o# j0 j, f. h7 u
to setup-patches% {7 N( U6 j% O2 g9 f2 `8 k
  ask patches
0 s% f( p) n6 \: n" k    [ set max-grain-here 0
( j, s- y* x6 o) [4 R      if (random-float 100.0) <= percent-best-land" b9 j' n* i0 ^* |
        [ set max-grain-here max-grain
# F+ j+ Z+ i' \6 Y, Z; ~9 l          set grain-here max-grain-here ] ]2 ^4 f' D4 X% d( V
  repeat 5: l  c. A. d5 F4 W
    [ ask patches with [max-grain-here != 0]7 m  x! \5 }' l: Q) r/ E% R2 G
        [ set grain-here max-grain-here ]; M( i1 a7 ^  g; t/ T3 f2 y
      diffuse grain-here 0.5 ]9 T" L$ A: E7 r' C
  repeat 10( g8 ^4 R" f5 k1 c8 A
    [ diffuse grain-here 0.5]          3 W0 K; Y/ S5 d5 d
  ask patches
7 o; N# g. e) c1 T3 y4 \+ n: B/ v  ?    [ set grain-here floor grain-here    " F* k( w* S/ W$ m( d
      set max-grain-here grain-here      
& i/ D0 z; g- ?5 ?0 Z" _4 ]      recolor-patch ]
; p2 U; T) i- p( E' M! Eend! [( p" E/ ~) y6 w
to recolor-patch  0 m% r$ Q/ l" N+ }! c
  set pcolor scale-color sky grain-here 0 max-grain
$ H; I# [! g: R; Vend# [& F5 ~3 ]& a5 q  z; b
to setup-turtles
1 K; n9 w5 a" ^6 z) L# |2 ~5 U3 N  set-default-shape turtles "person"
8 n# v2 |8 g% C! N  crt num-people+ |; c9 d0 N& V7 x8 l
    [ move-to one-of patches  
/ r# H5 B/ j8 q. K: I      set size 1.5  ; |  C3 ]7 M% _! b
      set-initial-turtle-vars-age
/ g# j. j8 ~6 e$ Y0 \- S      set-initial-turtle-vars-wealth
# f0 k9 Q: X0 T5 ^$ b      set age random life-expectancy ]/ o6 ^  ]2 X8 X) ^; C$ Q
  recolor-turtles
; k+ R0 ~! P' Uend
3 e! p1 i, e! |$ P) s) H7 e! B' h; R9 [$ F
to set-initial-turtle-vars-age9 |( L& |# h+ d+ N
let max-wealth max [wealth] of turtles$ [+ b; I4 @6 Z( R3 @, D# J
   
! a1 k- F  O5 G" P3 j     ifelse (wealth <= max-wealth / 3)9 \& E. K4 h' W. i( S9 T1 O
        [ set color red
4 A, I4 B) {/ @5 ~# y          set age 0
( Q" Q9 r. O* k. M) y          face one-of neighbors4 1 I; |7 K- o; p6 k
          set life-expectancy life-expectancy-min +
, B9 i5 t1 M0 c- _8 Q6 g3 ?                        random life-expectancy-max 8 X/ w5 v- m0 N: Q. J
          set metabolism random 1 + metabolism-low
% @$ b- g! u/ [# A          set wealth metabolism + random 30
* t$ v$ F0 Y* [3 x          set vision 1 + random max-vision
1 i" K/ F) d* ~0 j- Y/ [             set wealth  wealth +  Wealth-inherited-low ]/ o3 I/ ]: b* X3 m
        [ ifelse (wealth <= (max-wealth * 2 / 3))
" I3 u1 p4 N" w2 U/ z            [ set color yellow
" X8 k8 D8 K" H# n/ @" V              set age 0
0 d- o& x- W# D' ~1 t9 u% C              face one-of neighbors4 - N( Z1 r% \( {1 u6 \3 b
              set life-expectancy life-expectancy-min +
' \- |6 Z% E( v0 P                        random life-expectancy-max + 1
( e2 j3 }9 C4 ~/ z- E+ G3 `              set metabolism  1 + random metabolism-mid
- \$ g) m) e5 y0 k6 S+ H2 b3 l6 r              set wealth metabolism + random 30, ]- t# m% W3 o* U
              set vision 3 + random max-vision2 X. p6 f1 W4 b7 u* l- T7 Z' a
                set wealth  wealth + Wealth-inherited-mid]! Z( U+ T( a  c& @) A1 x
            [ set color green
3 H  {8 i7 `; _/ J- d9 g! T              set age 0
0 |) \; E. e4 ^# N5 @/ ?              face one-of neighbors4 / }- D+ b$ J+ T
              set life-expectancy life-expectancy-min +
/ U# x% `8 R! s5 a) R9 J: A                        random life-expectancy-max  + 2! T3 w& m) j5 o( K3 j* J, ^
              set metabolism 2 + random metabolism-up
, k) k2 j& F! s              set wealth metabolism + random 30
# ~( [* y/ q; d/ O              set vision 3 + random max-vision
( }) u0 G& W2 \3 P: B              set wealth  wealth + Wealth-inherited-up ] ]
* K3 B/ {$ g9 u  t- l8 P; J ' T" @, \* I/ {$ M* j# s
end' Z' N# P  d2 D) V
to set-initial-turtle-vars-wealth
4 m; ]8 D0 @$ {6 Y% a- _( t! u let max-wealth max [wealth] of turtles
4 |: P1 x/ X% \1 y* ]1 {          set age 0) ^3 n) N5 L) \' U) s* ^6 c
          face one-of neighbors4 ( i1 E& s. H  A, V
          set life-expectancy life-expectancy-min +' s; [4 H9 e9 j% B* g  Y& |
                        random life-expectancy-max
% m; `' q, V2 |! C" `9 X          set metabolism 1 + random metabolism-up3 @4 n- P  B% h: N# w) T, i  s
          set wealth metabolism + random 309 ]. a1 L( e7 G! @8 Y+ b: ?1 n) }, Y
          set vision 1 + random max-vision
2 }6 B) E9 Z+ l8 R/ Pend) G- p# j: w( x8 u4 F% }
to redistribution  s. {& N* T* n2 Q3 z
let max-wealth max [wealth] of turtles8 _+ |! ~- |8 ^2 \
let min-wealth min [wealth] of turtles
! Y( |( f: C/ s# ^7 ^if (wealth <= max-wealth / 3), [* {) S! Z9 j! G
[set wealth  wealth + Low-income-protection ]
2 J, k" V9 q: G  Z% {) Y4 ?8 w3 jend+ ^* J# ~% y& c, ]
         
! @1 z: F3 G5 D" U# G8 Pto recolor-turtles
) L+ e, ]" g- ]  let max-wealth max [wealth] of turtles! R+ x1 R) h3 p
  ask turtles+ k4 F( |# V/ J8 c# D) S& m
   [ ifelse (wealth <= max-wealth / 3)
5 I- t% q( @! \! `# c        [ set color red ]
8 o: c3 H8 N2 `$ j, O        [ ifelse (wealth <= (max-wealth * 2 / 3))
% F2 _+ N+ j8 F( |+ B+ `            [ set color yellow ]
# V. C4 D% G/ l7 k6 D$ O' S( H            [ set color green ] ] ]
4 n) b9 _1 [' s3 _* f0 W ask turtles [ifelse show-wealth?
4 S5 Z& b# O/ j) k6 @    [ set label wealth ]
3 j9 y/ i$ }" I5 g  y# ]  G0 i3 X    [ set label "" ]]
; q6 u" e5 A' _+ `# G/ E7 c  kend
! @9 a1 Z' }. f/ `! n  O, v& e
# b+ U/ y; e* c: X! wto go" e+ }- x2 a+ K# _, J
  ask turtles$ c2 I" v+ z9 I( H" I  Z
    [ turn-towards-grain ]  
& Y) R7 @. H% e6 m  harvest
; W4 [; G/ s9 Q/ P  ask turtles1 A9 j  M0 X7 t0 K/ _5 `
    [ move-eat-age-die ]
, c+ }& B6 [# C  recolor-turtles2 Q5 t3 f' p0 k% j! U, l
  if ticks mod grain-growth-interval = 02 x# b7 |* c; ^! E! W" [" |
    [ ask patches [ grow-grain ] ]
+ q7 O4 a0 h& q4 }$ I  `+ G   ; v* h9 t# g- m  a- H. q. F
  if ticks mod 11 = 0
4 c2 r9 _$ t; ]  [ask turtles3 \' G2 _$ \  l1 K3 m2 H6 K
  [ redistribution ]]/ \/ C' {( N/ d5 ~% x
  if ticks mod 5 = 06 m- ?& h# `% G' b8 h5 B8 H- V8 g2 s
   [ask turtles
. C* D8 A: Q% N7 ]! p( {1 C4 T  [ visions ]]
" J' q' w; r6 `7 X  tick
: N3 {: U# e$ `: q6 X  update-plots
$ S# C; P) p1 Fend
' i) E$ d+ j' gto visions% i1 E0 m0 A4 a9 [+ r
set vision vision + 1
  J4 m7 ]9 b' d8 d- G* z4 `& Xend- u0 X& g3 i. P% A& [
1 N3 f  p6 @4 N4 W2 \! I

# q+ w$ J' j6 L5 J; R1 Z* ^# v& `6 W: W% Y& b/ H. T
to turn-towards-grain  . V4 P  f, G* T! U
  set heading 0  f$ p% x0 i+ q( U8 a
  let best-direction 0
- h: R  I: e4 h" ?  let best-amount grain-ahead
. [2 \6 b" V/ t; g! `  set heading 90
& Y8 P9 n5 `" n/ W  if (grain-ahead > best-amount)8 \; w4 F3 V/ v, Y1 a  F
    [ set best-direction 90
2 m9 U4 r0 Z' e# Z& j2 W      set best-amount grain-ahead ]
% o0 `6 c' s0 P' O! h; Q  set heading 180
* d. ]" C5 n/ G  if (grain-ahead > best-amount)
/ e) p! f: \' k( @3 J    [ set best-direction 180
( C1 H9 k  [7 T3 d8 y4 z7 R" K# X      set best-amount grain-ahead ]; |+ |( v1 D7 ^! D# ~% o  D! _' N: c
  set heading 270
# e7 y. k  Z7 k5 w( H4 C; H  if (grain-ahead > best-amount)
( K0 s: L/ |" p# `    [ set best-direction 270
5 l: ], N! h- E3 U/ k' w( N  n/ a/ O      set best-amount grain-ahead ]
" A. L9 u. j0 U: w  set heading best-direction
' H+ _& Y* M8 X7 |) O) ?end: \7 ]" y; _6 M4 x( G
* X) R, _, B! w
& T. q; J! _( X" w1 X9 B
to-report grain-ahead  
, s8 ?$ s4 B% _6 E2 W) U6 L  let total 0, p: ~# H% R, |0 D& k1 u; c( }( n
  let how-far 1% I- o+ B- j4 r  o
  repeat vision; h! X* D3 K7 s4 x
    [ set total total + [grain-here] of patch-ahead how-far/ g$ }: R2 l6 F1 u+ {
      set how-far how-far + 1 ]
- d8 {5 w' d$ `* g- d0 R$ [  report total6 m1 s. [* d; C% p" z
end
# [  r$ X1 f: d& q# o( U
1 I' N  W6 Z" H% u+ tto grow-grain   d) m8 a$ x* x7 w1 O* c2 A; v; O
  if (grain-here < max-grain-here)
. s+ J- i1 X, E4 v* C    [ set grain-here grain-here + num-grain-grown* }. A# s9 t/ H' Y7 G* _* u
      if (grain-here > max-grain-here) % [4 j8 n1 d2 A) i6 e" Z
        [ set grain-here max-grain-here ]
4 z1 ]- r$ v' T9 @9 d) I      recolor-patch ]$ ~' @. X& b# j0 f4 p7 \
end6 S2 k6 T7 K3 o* T. p/ m/ C' y8 A
to harvest
* S5 m  x. X" V! h  ask turtles  y; _2 E% @* t8 ]1 N$ z& `! g
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]1 W& M6 @6 P/ g6 O
  ask turtles; z6 [1 Y2 F1 S9 ~! o* i: S
    [ set grain-here 0  R, L- t, R- f+ e
      recolor-patch ]$ W+ `* A9 m1 k) v7 o0 N7 i
  
8 O! U. k. q6 }+ ?3 G6 X/ Xend
" B( }2 r! m( }, s5 p1 ?
) J+ N3 ?$ W, K0 e6 @to move-eat-age-die  
& @3 c/ N$ V, b/ t( j  fd 1! U0 I8 ]7 `* [* e
  set wealth (wealth - metabolism)& N0 {/ G1 {1 N  w( L% ]
    set age (age + 1). c' r" l0 X" B( v% ]$ C
  if (age >= life-expectancy)
4 @; \+ [  k: ^+ Q# p    [ set-initial-turtle-vars-age ]
8 \! U9 h6 ]0 z) @$ }  if (wealth < 0)0 o1 M4 H' V2 d8 ^  k4 i- p# q
    [ set-initial-turtle-vars-wealth ]
: J. ]2 \1 _8 m. O3 r5 }    2 U/ P) Q, N9 G2 W0 d+ S# ?
end
) Z& }( x8 {! z& e; C. q2 r( K$ N/ g: v) v
2 b8 L9 D! t2 I0 F6 U* I- }4 Q) D
to setup-plots
, Q/ j% x: \1 H; U0 F$ A+ L  set-current-plot "Class Plot"9 q& T% K& s% {7 a
  set-plot-y-range 0 num-people* _3 R, O, X+ Q% s
  set-current-plot "Class Histogram"6 \) m- A) S1 `, p
  set-plot-y-range 0 num-people% w" E; d) ?" l, E' l# I
end
1 X) x0 z  V9 A  O: ?1 r- h8 i$ ]
% g2 a) P( L" ~( I6 d: @to update-plots. Y3 I( }# o+ l0 L1 e* h: @
  update-class-plot3 P2 h" ^  i0 H
  update-class-histogram7 \5 i4 c* N8 o& _3 ^
  update-lorenz-and-gini-plots
. Z, ~7 f* @- v+ G' c6 kend1 l: Z5 i  w2 a0 P. s
# ]) w$ z' M' r% m& o
to update-class-plot
% i- ~" g& t& y1 g& U2 |. A8 R! G  set-current-plot "Class Plot"
% e+ B4 n! }" G$ }0 Q  set-current-plot-pen "low"; e4 ?8 e% R* i# u; C* E
  plot count turtles with [color = red]. k" o, M" j9 V( p
  set-current-plot-pen "mid"/ h* E" O6 P9 f0 O3 q4 x, h
  plot count turtles with [color = yellow]2 Q, V4 U1 x  }# K
  set-current-plot-pen "up"
# R* W! K7 {5 R3 F3 n6 L  plot count turtles with [color = green]
$ b3 P* W' |& G( j  l1 H" h# tend3 P, x! m& |- O- J/ Z) ]
" q8 e0 N0 Q& H' R6 i, W6 J
to update-class-histogram, p) g0 ]6 [' ^4 ^
  set-current-plot "Class Histogram"
( J( t8 C) M8 q' a7 T; ~  plot-pen-reset# @  x" Z+ j5 j3 G4 E! `
  set-plot-pen-color red8 M: y* Z( S% Y) t6 E! y5 U
  plot count turtles with [color = red]6 p! ]1 \* h$ a6 k' i$ f4 `
  set-plot-pen-color yellow1 a* M( ^; E3 \, j8 l/ p
  plot count turtles with [color = yellow]
+ p; |8 g  [! y" C' B1 C+ I  set-plot-pen-color green4 |8 o5 ]% q  {& t3 y
  plot count turtles with [color = green]
! ?9 W  s; ]' e7 `5 x2 x, Send$ b9 r! V4 a. `5 x6 ?1 {6 \! V
to update-lorenz-and-gini-plots8 P* |7 O/ L3 f3 W! h8 M8 S
  set-current-plot "Lorenz Curve"
2 @. I- A. B& p  ^$ _) x  clear-plot
- j( D3 Z6 q* Z& P
" @* Q2 n4 b2 |' t2 F1 `  set-current-plot-pen "equal"
" E, H; B( F4 M" y# K' D# i. d  plot 0
9 u# ^. s+ S* C0 m( T# V$ N  plot 100
* `1 U7 s" V& m' R  A
$ B/ x. c) C6 a2 G$ q3 H+ a5 X  set-current-plot-pen "lorenz"% C. D- P, y* D
  set-plot-pen-interval 100 / num-people5 a) l- {" }' W" G2 L
  plot 0- A$ S, V* K4 K( G5 I1 m% g

% @) [+ T8 b( A& U8 J  let sorted-wealths sort [wealth] of turtles: v& Q+ K- `  V* }; S& R' d) o
  let total-wealth sum sorted-wealths0 \) D5 u: D- S! d8 P/ r
  let wealth-sum-so-far 0" T" q# |) p0 M% ~( n7 Y' @+ j
  let index 0& y' z, ^: e& r( ~% i& b6 O% `
  let gini-index-reserve 02 \, b* ^  v  r

3 s7 X8 v3 w8 R& W! J" E  repeat num-people [
; ^! ~. `& G* Z  g0 @( u    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)1 f' s6 q7 E" o  B! V1 v, z7 R& I; M
    plot (wealth-sum-so-far / total-wealth) * 100) z7 [7 _+ M# C' s
    set index (index + 1)" k1 c4 J4 e  z& X  ^3 O
    set gini-index-reserve
8 n$ H& M5 T& [% `8 k4 f      gini-index-reserve +
% K% ^; U& d) t1 p2 v4 E4 J6 D      (index / num-people) -
$ u1 d! P5 l$ Q6 R% l8 e      (wealth-sum-so-far / total-wealth)4 {' R" _$ u" C2 u7 u
  ]$ G8 D. f: ?. w% A+ K
# R0 A. U  S. l; U. n0 a1 l, V5 _: n
  set-current-plot "Gini-Index v. Time"( f, ^* _3 O, h$ z6 \  A) T
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
) H- W9 b( q8 G, L9 qend% k3 o- ~! ^" X
to-report area-of-equality-triangle$ t2 @0 M# B% D
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
; M, J% S% k: p0 S6 Yend
 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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