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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7 ^  z. ?1 K3 D  d6 m: g7 q
globals
( u5 o9 ]7 G9 _0 B[5 C7 O* J( ^9 M9 w: l, |, F+ W& ~
  max-grain   
: i" c. C( V1 h2 k8 K4 L
, b: S+ R3 Y1 f9 ?]8 `- P1 p+ P( C4 Y; I

4 d  s$ G! Q" j3 npatches-own/ {0 I- P- c% r3 U- \0 |& |
[
$ X1 z7 s/ M8 v6 \+ J# H  grain-here      
' l7 Y7 ~& i0 e( d7 e4 H  max-grain-here  
7 R2 ?# C6 H1 q/ G1 m]9 F) D6 y1 p) E7 K) u3 Q  F

% V3 r8 t( U* ^) f- |$ e& ?4 @  ]turtles-own
3 ^; a& w" ?/ ~[" x. ^& F" O2 `& r/ T' Z
  age              
2 Z; K: y  Z( u; H! M  wealth         % [1 g+ h1 z! M7 h1 P( w
  life-expectancy  0 t* z# I# }% G( m2 N2 n6 Z* C
  metabolism      
1 x% y. u' H; C+ T  vision
9 |7 s/ W2 ]% l# m8 Q+ l% \8 z  inherited         
, x) A% ?7 U; `( r7 [% s]
% k: j1 \; h4 m) C- `
3 e/ o% `- g* R) ~1 u! F) C6 S1 ]# `5 _8 z; |: |6 h# E! `
to setup7 E# _2 Y8 M; K
  ca
  a1 N' `; }) S: a( @! R, h  set max-grain 506 H2 \% w/ l$ a  C/ i
  setup-patches2 j  c" X; o1 H; y7 r
  setup-turtles* \* F4 k1 H% R: O8 [2 b. s* X2 f
  setup-plots' j9 J, ~0 D1 B* O
  update-plots5 j1 ]% _' O5 |4 d/ w
end6 l8 f  U3 ~- }# R: \
to setup-patches+ w6 |( u3 j! k% w. K
  ask patches
6 G2 z( M( j+ Z' i: h    [ set max-grain-here 0
0 `3 s3 t$ e; b      if (random-float 100.0) <= percent-best-land4 o! O' u7 S- s4 a! T. `
        [ set max-grain-here max-grain
% {" b* j* v" B) Q          set grain-here max-grain-here ] ]) B* G( {" I4 o# B, E  U
  repeat 5
7 d7 a: }; @$ k! @3 e+ h# y1 m    [ ask patches with [max-grain-here != 0]8 J$ [/ [! H: Z+ h: d. ^$ K( o
        [ set grain-here max-grain-here ]
) w9 g6 @, ^$ t' X& ~8 a      diffuse grain-here 0.5 ]# ]# ?. \8 v, g; C0 W
  repeat 10( V4 m/ O5 m, R; l% n* q5 z
    [ diffuse grain-here 0.5]         
. F6 l: H; k, F  ask patches+ o; V4 `7 c& T; Z. [# B  l
    [ set grain-here floor grain-here    ( d: @0 @4 |8 ?# B( G
      set max-grain-here grain-here      & X4 Q/ h$ t5 L7 X+ L, m3 P5 _, ~
      recolor-patch ]2 M, R! X: Z& S  x( h
end* I; Z8 Z* G: K
to recolor-patch  
) [& l, z7 F7 V# g4 E* C  set pcolor scale-color sky grain-here 0 max-grain
7 a  ^& j) ^  z3 g; e5 V7 p- [end
1 {- Y9 u$ o% ]4 m4 P2 oto setup-turtles
8 N: Z8 ]+ K+ x$ u  set-default-shape turtles "person"
: ]) t; N7 a4 c. O! X( c8 Y8 _  crt num-people2 t6 O  e1 |+ }5 \1 T
    [ move-to one-of patches    d3 @( d" r1 f4 B
      set size 1.5  
/ h% q) J0 {& O; p9 g      set-initial-turtle-vars-age
) |2 N' H! Z7 [2 I) x: H. K! r; \      set-initial-turtle-vars-wealth
4 Y. m: ]* Q0 o3 D      set age random life-expectancy ]
$ V* \3 A  ?  i3 D: h, j  recolor-turtles
5 B" v! W+ e5 j; ~( q" E, g# c' V( }end
, w8 S4 P0 m  W
6 K1 }' ~7 l+ n+ Nto set-initial-turtle-vars-age
/ k9 o6 {  e" U: K" }- I let max-wealth max [wealth] of turtles/ D4 V& r2 a  D! m  {
   
4 |/ I* |/ w, v) y3 b, ^     ifelse (wealth <= max-wealth / 3)
; q) ]9 S  E- I        [ set color red
/ c' Q: Q8 o' i          set age 0. u- @; Z0 q+ I- y5 v9 C
          face one-of neighbors4 % R; s7 t2 c5 }0 `' L2 V7 ^
          set life-expectancy life-expectancy-min +
! U7 ?, V+ ]) Z. M4 x, F4 `6 K9 h/ R                        random life-expectancy-max 5 z) h( J9 n5 t4 N" Y/ W  y
          set metabolism random 1 + metabolism-low$ N" O" [  y1 Y
          set wealth metabolism + random 30/ Y% i4 N4 S" C, o; `
          set vision 1 + random max-vision
& T3 J* W0 f1 y* ?             set wealth  wealth +  Wealth-inherited-low ]
: T( E2 G! b& @; ]; b; N        [ ifelse (wealth <= (max-wealth * 2 / 3))
) o/ a% c, e% l/ w" ~- \            [ set color yellow
$ ~: @7 A3 R$ v+ _0 G              set age 0
) q( v7 ]' u0 |! N/ Z1 F' s              face one-of neighbors4 $ a. W  D) T. W
              set life-expectancy life-expectancy-min +" i+ d" ?0 P+ a  q
                        random life-expectancy-max + 1
2 M% l: H1 g: `9 \% A) i              set metabolism  1 + random metabolism-mid
/ D/ w, q1 ^/ i" L              set wealth metabolism + random 30
3 Z+ n2 x& S  a, I: y( e              set vision 3 + random max-vision
4 z% @+ n' ?+ ]6 D6 y& }4 [. `                set wealth  wealth + Wealth-inherited-mid]
: Y6 L! ~4 r! R* q, y# t8 a  V            [ set color green ; W. z' e9 A2 y" `% N: `7 |
              set age 0
( K& S; M, j1 {7 [              face one-of neighbors4 . c, q9 T* W' M: M
              set life-expectancy life-expectancy-min +
1 B5 ^" o5 e/ u/ ?8 j) x. ^                        random life-expectancy-max  + 2+ T) q( E& s4 k* E- H! P
              set metabolism 2 + random metabolism-up
* `# u- |& {' R/ H: `# d) T+ l8 Y( c7 Y              set wealth metabolism + random 30
; c) q1 O, r0 i3 t' d              set vision 3 + random max-vision
4 h/ f1 N6 l& q9 k5 m7 n              set wealth  wealth + Wealth-inherited-up ] ]
, V1 R1 q1 e  ?! S 2 q& N* n& m  X' y. {( @
end
9 e$ \5 M. j2 }$ ?( Ato set-initial-turtle-vars-wealth3 t6 q  \9 |' b2 E% k
let max-wealth max [wealth] of turtles
; w! \5 C+ H5 i* Y# F  a          set age 0
* W. u) C5 L! C; _% \6 j4 m          face one-of neighbors4 , T) f6 M6 j1 H$ G4 J- h1 ]# Z
          set life-expectancy life-expectancy-min +
: b# `. F7 E7 q; o% Q1 S  S- @                        random life-expectancy-max 1 g+ ]& j8 f. m& g8 u
          set metabolism 1 + random metabolism-up
# _( T( v) b# k          set wealth metabolism + random 30* r  r( m. \( X  [3 T
          set vision 1 + random max-vision 8 ]7 ]# y8 R1 Z3 U# t7 {% ?; c# z
end" q/ ~6 y, v, k# F
to redistribution' Y# K! O# {8 i% q( \" p" _" a
let max-wealth max [wealth] of turtles) b% P3 r5 F& t, j; H
let min-wealth min [wealth] of turtles
$ j+ g: k% R! K# \; O% T+ Tif (wealth <= max-wealth / 3)2 v  N- f7 C& K5 F
[set wealth  wealth + Low-income-protection ]
6 S: q9 q# a1 O3 p" Q6 l/ ^2 Cend& O% D1 A$ r( o. o5 l0 T* t. p5 y8 t
          3 g7 s: J. i  X( b. `3 H0 x1 B& \# f
to recolor-turtles( A0 Z" u5 k( v( l+ T" @6 J
  let max-wealth max [wealth] of turtles
3 b- w0 J5 m0 S0 ^# H) O  ask turtles. {5 r' j6 @% g6 ?
   [ ifelse (wealth <= max-wealth / 3)
$ i1 C- I' }& V6 N8 L        [ set color red ]
% E2 _0 q( L( m- G5 v  Q3 k, V        [ ifelse (wealth <= (max-wealth * 2 / 3))6 c9 m. @7 I5 A( _7 h0 C
            [ set color yellow ]; H% ^8 M5 d0 e" W9 `
            [ set color green ] ] ]
- m: i! ?) q( U" u0 o8 d# H ask turtles [ifelse show-wealth?
+ N, `. {2 Z% Y% c    [ set label wealth ]- d& _2 w5 A* `# s/ L- o) ~
    [ set label "" ]]
" a9 O' S: r8 O: C2 J% f: y0 lend" l8 r7 J6 s  z6 a7 a! Z

' V2 V, v1 l9 u/ K" ~( P) a" sto go
# j' e' Q& R! M  ask turtles
4 v6 J. `: T. w    [ turn-towards-grain ]  
+ s& f+ H& c/ L  harvest' h' R2 U6 s/ c) b* w; C% K, E
  ask turtles
7 ]7 |/ o+ j% i& Z: A    [ move-eat-age-die ]
- i" H* j& z! z9 A7 W9 R7 c  recolor-turtles
6 V" X4 ~" X4 V8 j8 X  if ticks mod grain-growth-interval = 0; G; _7 Y# ]0 D- ~6 x& X4 i9 w
    [ ask patches [ grow-grain ] ]
! W3 W/ E6 w& ~9 K4 p; [" h   ) i* J2 c$ _' T0 S- y3 T* w
  if ticks mod 11 = 0
$ Y# B' U. M) `) `: L9 L  [ask turtles% T0 o& q) X$ w1 H) s- @$ r/ j
  [ redistribution ]]0 v; @1 |* ^' ~# Q8 u' b
  if ticks mod 5 = 07 h3 T) P6 e' D3 h* ]
   [ask turtles5 V. V) F- f  w" E
  [ visions ]]
- e$ y0 ?" z9 n7 s* k1 e  tick
' w  d; S3 C8 Q3 S. \$ K+ G  update-plots
, F0 r# G$ H. T# Bend4 z4 E" t" m, P7 H/ z" R
to visions8 n- Y5 }. W& o
set vision vision + 1
' z1 m9 i' f& p0 H  xend: O, V$ f% B0 K9 ~7 O  h  A) O
0 ?* j" e# B, ^+ g8 }6 @
3 @1 f0 f* u8 S0 z

! a- {. k+ _/ u$ @to turn-towards-grain  : x7 |- T) q3 M9 o* t/ M2 H3 N
  set heading 0! ]+ r3 E: {% M& U! I2 O8 \, B8 e  u
  let best-direction 06 T- c* I* P1 I/ X. Q! L6 f+ C7 `
  let best-amount grain-ahead
# n( Y: r& ]( E/ V* ]$ L  set heading 90
3 H) E) `3 i7 @- [2 @* f! j  if (grain-ahead > best-amount)% T  ?! A* Z  K; O
    [ set best-direction 90" u* s2 U. s+ P* x* k
      set best-amount grain-ahead ]
- `/ P3 W, t' M6 U6 @$ b0 W  set heading 180
9 w( R4 M, N, p  if (grain-ahead > best-amount)
* l4 n0 b  {- |% P* }( a0 E5 e. e- J    [ set best-direction 180
) s0 T3 f8 h2 H& T' @      set best-amount grain-ahead ]
1 V% q) S# p0 z& z  set heading 270
8 _% K& O. I9 \  if (grain-ahead > best-amount)
* P5 W2 `8 g# H: D/ Q2 h  W    [ set best-direction 270& _* n; M: O) h6 V! Z/ a9 Q" x
      set best-amount grain-ahead ]
2 @4 k  `9 M9 S) B  `- p  set heading best-direction
( s7 J) J4 m6 b. z4 R! {: Aend( S: Y1 |4 I  {. |
4 I$ h: M  t# u/ G% l; Q

" D- _2 Y' q% _/ ^: A' E* w7 N4 Uto-report grain-ahead  
# a$ z9 Z& I- i% p8 D  let total 0
" D7 G5 p$ ?" V0 t( Y0 p  let how-far 1/ b4 r' x. s. D) ~( M: R  o! C
  repeat vision
9 G8 z3 T# l+ b4 m. e7 D9 `    [ set total total + [grain-here] of patch-ahead how-far# D; e% ~* k& E. g
      set how-far how-far + 1 ]! D# i! f/ e: F: h8 q% g" t. j
  report total
+ a8 X" Q/ h$ K$ I% k) oend
  b1 M% U0 v, |, S/ ^$ \" D6 n# l
0 F! s4 x9 S1 i* Fto grow-grain
/ I1 M  p% i- f+ f3 M  if (grain-here < max-grain-here)
5 x1 y' z4 r' r    [ set grain-here grain-here + num-grain-grown
  A3 `9 z( h5 \7 w  ]* \      if (grain-here > max-grain-here) ! h* r, p/ `! I1 k' k- p" T! L
        [ set grain-here max-grain-here ]
' t7 h0 g  V  h$ c) l  Q" j8 a      recolor-patch ]
, A$ E9 A# n/ k4 l4 E# ]( Gend- u  g3 q& I/ s8 h. W
to harvest
$ Y' l% e4 w* m* g) _# ^: Y  ask turtles1 s8 R2 M* z3 y0 s7 s1 R$ F
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]( p1 _4 @$ ^: v4 m8 M5 c2 F5 q
  ask turtles! f0 y' z) [- T( G% B
    [ set grain-here 0, e- ?/ b" {" z+ H0 N
      recolor-patch ]
# `$ ?* b, a7 o6 X. w6 Y! i  
* {5 h, g2 `% I) w+ r; y. Pend. L% o% [7 ]5 i% K
4 `1 _( J% o) z" V* T
to move-eat-age-die  
0 R. Y; B, J' u1 x1 W  fd 1
% ?/ ~" U: F/ Q- ]7 d& H7 f  set wealth (wealth - metabolism)* g1 U! e7 }/ W; A* I* d, _
    set age (age + 1)& Z9 I" F: C* I) Y
  if (age >= life-expectancy)
$ C, n. j% R" K! l  Y    [ set-initial-turtle-vars-age ]  I9 }1 ]3 A  f6 x- j% o) G: F" Q% V: v
  if (wealth < 0)
8 t0 n% `! V7 k# A    [ set-initial-turtle-vars-wealth ]0 B2 _7 y% Q& \( [8 Y% [
    & i( D7 B- o0 d, M# \) Z
end
: B* E$ F& w& t
# {( t. W# N  ?. n# b$ Q; {$ a6 i+ {/ Z! V& e, {' J
to setup-plots
/ L$ e9 F: I, z0 l# A; p, J  set-current-plot "Class Plot"
9 `4 X. H' I& w) c7 e' ~2 r* h2 Z  set-plot-y-range 0 num-people# Z# A, y) X. X5 f( Y& f8 ^
  set-current-plot "Class Histogram"8 B4 v4 i1 Q( g) L3 f  L
  set-plot-y-range 0 num-people- W! x# a* j: j- R8 B2 V
end
) M" {; S) J) n) i- F
7 Z. H- a* O0 J1 A$ ]! U' n6 Hto update-plots
* V: t7 P- |$ ~4 w) _5 @  update-class-plot
8 K7 O! G. c: s4 A% s( J  update-class-histogram
$ X% y' x; l+ o0 c  update-lorenz-and-gini-plots
/ K) H; {- n; g8 r( M. r; Fend2 W4 _. Y. C/ C) t; w( B+ ?( M

- Z1 q/ d: d& u# y0 L# y; _% ~0 Oto update-class-plot( \! r9 f3 p( }
  set-current-plot "Class Plot"
% g8 G5 k; w" Z, M# @  l  set-current-plot-pen "low"
& W, X6 A3 J# Z( V  plot count turtles with [color = red]
4 H5 r. x* j' y, r9 c  set-current-plot-pen "mid"
$ D# ?+ Z% q, n# U4 ~; b( ~- T  plot count turtles with [color = yellow]
  S6 `0 x$ S: q4 b' m: b0 d  set-current-plot-pen "up"3 V8 s! K4 a5 r, [
  plot count turtles with [color = green]$ J% X; Q$ W% T4 V0 [/ F8 ?
end9 y1 P2 C+ C, T. N! x' l7 }6 Q
$ C. ~# n( l& k' Z
to update-class-histogram$ W( e' |) T, X" s4 z& h3 M
  set-current-plot "Class Histogram"0 S1 B2 J0 ^1 k2 S& ~+ s
  plot-pen-reset; a1 G6 Y8 {: J
  set-plot-pen-color red
2 X/ C: R9 n" U( s* [$ D  plot count turtles with [color = red]
. k( a3 J2 ?$ o# ]0 S, q! [& G  set-plot-pen-color yellow
, m- U- v4 y" s3 f# w, c  plot count turtles with [color = yellow]
( N; K3 g& }& X4 c  set-plot-pen-color green, {- A' S% o/ ]# P; [/ n, u. h
  plot count turtles with [color = green]: Q- I  }$ ?6 x& X+ \
end
; Y3 p1 B9 j7 }& oto update-lorenz-and-gini-plots" N- W0 O" N% Q+ q$ L% B
  set-current-plot "Lorenz Curve"
( c5 \: j4 l# {4 z- b0 ^: ]  clear-plot6 F7 z% i0 t( V% h* t
- w# y) I$ j. U: p
  set-current-plot-pen "equal"% {7 q0 x: H9 h2 Y' [
  plot 0
1 @7 u8 x; D7 V; g6 I  plot 100
( o# l) u0 m9 s+ e$ ^/ N( _+ d0 R2 G* j
  set-current-plot-pen "lorenz"& n( i% m9 u9 v% l
  set-plot-pen-interval 100 / num-people
* ~* u9 Z; E( L& p+ I  plot 0
' K8 ]" V& F( F' e0 E% i: q, w: h5 m; M
  let sorted-wealths sort [wealth] of turtles
) A1 Z* v1 N" X& C: r  let total-wealth sum sorted-wealths
9 e; H6 Z* O4 D0 m* F  let wealth-sum-so-far 0' ^6 |2 H$ C$ @  A$ P
  let index 02 ^$ S2 \. D; m! U' A* `! d9 u8 j0 _
  let gini-index-reserve 0- ]  O  y# k3 T* j) U, G! z4 `

- d3 k: F4 X3 f, R3 K9 u  repeat num-people [
( x9 t, U! P& m. n    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)& ~; R% G/ [* ~! F
    plot (wealth-sum-so-far / total-wealth) * 100
8 C3 A$ w7 }. ^% K$ U$ C5 ^    set index (index + 1)
  p% e7 R( S0 B- k    set gini-index-reserve
3 @' ^7 g# o* ^- P$ D( Z6 ~      gini-index-reserve +
9 X8 }4 |3 g* M$ W! K; l      (index / num-people) -
+ i5 z6 T5 T/ Y" d$ p      (wealth-sum-so-far / total-wealth)# |$ z) O6 z$ r! e  p
  ]
# a1 X3 L. G# T8 _$ l1 s  `
# E4 q0 H9 _: ^. w  set-current-plot "Gini-Index v. Time"/ R0 V6 h) j& v) x4 B
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
9 d4 J" P5 I! o5 dend; k* O, z, v) L$ {4 u; F3 G: D$ g; {
to-report area-of-equality-triangle
* `& t% E. p5 x' a" @7 S  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
1 t* K2 E* y9 Y% R& _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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