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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 u; g8 O* n+ w2 m3 u% j9 I- S
globals
( Y+ c# _; L6 c- ^% ~' a% E* Z2 ~4 ~[
* X3 l9 b% M4 t  max-grain    9 Q  x9 o9 o  g, c  p
) k- M. }! X( N- J( B
]
; k4 g$ @  g( }9 N1 Q9 q& s' n
& r2 q0 f; z4 Z* d2 f5 m& xpatches-own8 e% j( k. i, A6 o1 E
[
: T. O/ h" O7 }8 ^# j( K2 K  grain-here      
4 _; X% ~  K! |5 C- ^: b  max-grain-here  # p, {! g0 {8 N6 r
]
( ]' g/ Q  z, {& P1 _( n2 P3 P" t% N0 x
turtles-own/ {% G7 [8 z6 l
[! J/ [, h; d* e6 E) ^
  age              
4 }* _- V* [0 i  wealth         
/ P( y5 U8 L+ L% j0 K0 y3 ^  life-expectancy  # V$ w4 r8 n7 K9 ]( C. G
  metabolism       # X7 R! g4 q3 {! `6 i" D8 o: ^
  vision$ v2 g- _! }4 B- \7 S' \
  inherited         
& J# c/ [! d& C4 h; N], r  o7 v9 m7 [# B  i- ]
3 u5 w( F2 J# S" B: ]1 y( I5 E

  J! C( {0 T2 t( ]5 W5 Jto setup
2 j# y, p5 y! u/ F' U  V7 F  ca2 m0 r# r9 U" ^1 n% v( O: C8 m% T# Y
  set max-grain 50- m6 J+ V! N3 ]) j- {; \6 v
  setup-patches
+ |  f+ X" P  U5 {8 P  setup-turtles
6 \, q9 I' i% O2 P0 M( r  setup-plots
' f% t) P0 g5 ^  update-plots
+ O  c. ~- b& qend( n1 K4 `, R# o- {: Q3 @. A- w2 x
to setup-patches0 e) d- r' Q# z+ i
  ask patches
' k) ~# v' a9 B( [: }    [ set max-grain-here 0
% n' _8 a% N0 u, p6 u      if (random-float 100.0) <= percent-best-land6 {7 b; Q: T' c( G- e
        [ set max-grain-here max-grain
: c6 Q$ d) ?5 v7 m$ {" b          set grain-here max-grain-here ] ]$ Z; f1 _& w* H1 [# h9 s
  repeat 5' p) z& B0 S0 o
    [ ask patches with [max-grain-here != 0]" c( l; h+ J( v  f* Y3 t# T
        [ set grain-here max-grain-here ]" D2 }( y- B6 e& f7 Y7 n# n
      diffuse grain-here 0.5 ]
$ u/ b* o9 F9 u' M  repeat 10
$ M8 R5 [7 ^* M8 |! Q* m& m    [ diffuse grain-here 0.5]         
; o' O& P1 b; K7 q  ask patches+ }- H2 F- x7 t) p# q, ]7 Z% r
    [ set grain-here floor grain-here    ; _7 J% G* j" J  n% e0 ^
      set max-grain-here grain-here      
) [7 r; {; @  K7 a6 A) ]5 Q      recolor-patch ]5 T) \4 J; J/ q5 x9 P0 U
end  |0 Y5 W( ]. o; S- i( X
to recolor-patch  1 w; F; z  S  k& x) B
  set pcolor scale-color sky grain-here 0 max-grain
) Z8 x# Q/ M5 |8 R3 P, Uend# q. x4 [/ n2 q4 R& b6 E6 [
to setup-turtles: ~( E% X/ R" s
  set-default-shape turtles "person"
" ^$ Z) i4 _) d' W  crt num-people7 T. a9 ]1 _$ O/ d8 J8 `
    [ move-to one-of patches  
4 C& d! |- D, i: o      set size 1.5  4 A4 w- P1 H- U+ P/ P. U0 ]
      set-initial-turtle-vars-age
" e- U3 s$ _3 ?. m      set-initial-turtle-vars-wealth: n; }8 t0 J9 e2 I7 o4 w
      set age random life-expectancy ]+ f: \2 j0 j) V
  recolor-turtles
. h7 \$ D9 S& u# T# V* Zend3 a; X) Y3 l; p) r( O

$ D$ ?1 ^4 F$ zto set-initial-turtle-vars-age
  [2 X* v/ O5 V* U let max-wealth max [wealth] of turtles
9 u6 b3 E; f) c/ k" j/ v+ f   
& b+ b6 q% Z8 q' N) Z  G8 `# l  h     ifelse (wealth <= max-wealth / 3)2 G. j( j6 M2 O* z
        [ set color red * D1 g/ `* K: Q* G. J2 h& ]2 n
          set age 0
* G$ x' s" `+ e& ?/ T# S) J          face one-of neighbors4
% ~2 r, x, g2 Q: u, D: W5 X          set life-expectancy life-expectancy-min +4 }( ^# c& }8 Z+ w
                        random life-expectancy-max
9 \- t' i) K2 O5 I$ M1 j          set metabolism random 1 + metabolism-low. {; ^- J! q$ D- s. w4 b
          set wealth metabolism + random 30
, M+ }  K; V; x" F9 W2 }          set vision 1 + random max-vision
* v: M8 V4 e* E# v4 z             set wealth  wealth +  Wealth-inherited-low ]. N& B0 P7 S+ m4 K( S. I- @
        [ ifelse (wealth <= (max-wealth * 2 / 3))
% r( v9 c! `1 K  g/ a1 I6 C            [ set color yellow 4 n: N6 y+ ?5 @
              set age 0
  o! I3 n& Q  ?% |" c              face one-of neighbors4   g' E* p5 t) ?3 L; _
              set life-expectancy life-expectancy-min +
: u) n  j- y* S% y/ L! S; h/ Z                        random life-expectancy-max + 1
5 O) M% m) N8 e              set metabolism  1 + random metabolism-mid/ c7 q# X- q* `. J
              set wealth metabolism + random 30* \. B2 z- w0 E- L+ s( Y: z
              set vision 3 + random max-vision
0 L- U, D6 L5 U( O( m7 t1 ^0 {                set wealth  wealth + Wealth-inherited-mid]
# f& X) S' q. `" i+ ~" U- V: ~            [ set color green
* s: G& }% A2 H  Q1 l. A              set age 0
4 c* N- E3 v+ \  E1 J              face one-of neighbors4
/ }! D2 o+ R; |+ Q, V$ n2 g              set life-expectancy life-expectancy-min +: q7 z: u9 k. i2 B# }
                        random life-expectancy-max  + 2
- z( {1 B$ L+ r$ W              set metabolism 2 + random metabolism-up
& P( }5 O! {$ i- z              set wealth metabolism + random 30
, f7 ?5 U# ^* h+ |9 j% a              set vision 3 + random max-vision2 w$ b0 h4 x  E9 Q! S" G
              set wealth  wealth + Wealth-inherited-up ] ]
0 I3 C, j5 H- ~5 E * C2 u2 ]# ?, C5 g4 y. Q
end
' t, U% W/ U5 a+ H, T2 L0 Tto set-initial-turtle-vars-wealth$ e  b4 B# P7 m) Q
let max-wealth max [wealth] of turtles, @* S( E7 j. r! Y2 G
          set age 0
  l8 M# M( {; U9 v          face one-of neighbors4
" i; P6 G0 a1 T& `* x1 T          set life-expectancy life-expectancy-min +8 O( |( K4 ]' S7 X1 U; z
                        random life-expectancy-max 3 T0 {) m+ N3 Q9 E- B
          set metabolism 1 + random metabolism-up& B2 S; O7 ^) R
          set wealth metabolism + random 30% v) o2 b# Q& I/ d
          set vision 1 + random max-vision
/ }( j' n8 H( G' _. J9 X' |end
0 y, l& u! \: s& I3 ~to redistribution
9 E6 N- c! f. @8 z3 U6 P+ O$ Xlet max-wealth max [wealth] of turtles
9 q) O  Q* k. b$ {! v7 nlet min-wealth min [wealth] of turtles) |+ C7 k! u! v3 k. d2 ?# m1 s
if (wealth <= max-wealth / 3)/ U' u. D( S. P9 c( W9 V% O! S
[set wealth  wealth + Low-income-protection ]
+ n* A1 p$ C& A( Cend6 n4 f4 q. C$ B7 ?3 E
          ; t! w9 |& v7 N$ Y
to recolor-turtles6 d6 t& S8 ~" B) H* R; I& s8 z
  let max-wealth max [wealth] of turtles
7 m5 C# u4 v3 Q$ Q) K0 L& A  ask turtles
% r( ?3 Y$ r; G, s7 u2 i5 {   [ ifelse (wealth <= max-wealth / 3)
0 T2 r; m' [% N: i* R2 q. p        [ set color red ]) G* `7 p6 Q, i1 L" B" m
        [ ifelse (wealth <= (max-wealth * 2 / 3))
# }/ q, ]. @$ M5 k1 T1 ?- ~            [ set color yellow ]
/ c* D* `% K1 F+ K  ?4 a0 Q            [ set color green ] ] ]
8 w4 E) H. G, W( B7 t( F. | ask turtles [ifelse show-wealth?
$ B( X1 s7 ?( X  K9 r' \- _    [ set label wealth ]" ]+ V/ W% c* Q! C- ~
    [ set label "" ]]
2 r. V, G1 ?  Y- A% {end0 `" W5 s3 [0 c/ o) s8 X* N  J# {

' k2 C# r0 g' |& J! `- tto go2 ~( [: D! l5 G, C9 }
  ask turtles8 n8 x3 ]) a' c9 @; D8 X5 ]
    [ turn-towards-grain ]  8 z4 S# `! Z% m+ @
  harvest
: p3 X2 p9 S/ Y1 ]* V- o: k  ask turtles  J1 F6 ^- H' a4 E" }: V; v
    [ move-eat-age-die ]. n4 @9 s8 v. ?+ r8 L: Y  w
  recolor-turtles
0 |/ C' m8 v8 b$ T4 s. d8 P  if ticks mod grain-growth-interval = 0
, [: e5 ~) ^/ I+ [; N: y    [ ask patches [ grow-grain ] ]
; N. X7 G6 `+ I# x, f  S   / r8 b5 s" h8 U2 m; }+ D) Q
  if ticks mod 11 = 0
# E, t1 _' B$ P+ n+ S  h" ]! s  [ask turtles; g, F1 d% n. R$ B
  [ redistribution ]]
# I! H8 O2 i# Q' o& b! ]" H% l  if ticks mod 5 = 0
/ ]! y; ^% T% r. U" K   [ask turtles; q* M8 }& }" c" b1 S! {9 f7 {% g6 Y
  [ visions ]]
- ], b, L* i, A9 I, X  tick3 ]' v9 W% ~" n1 K6 N. f( d
  update-plots
# ~# z  r9 s! K& G& V; ~( j0 O* _6 D% Bend
; H3 O3 R: `7 I9 v- @4 cto visions
" e3 {! z9 q/ K; T. m- O3 K4 c6 X set vision vision + 1 ) H# o7 R$ j! h) z
end( B- S5 T6 |6 d) }- F
+ w8 \( i( R8 `1 H& {. [$ o
& v1 D) c5 R7 [2 F. r; I5 N
, l! l  E2 x! r+ w& \2 C
to turn-towards-grain  ( \7 o' M9 B4 i6 e+ y
  set heading 0
/ P9 _' b6 y$ Q; Y2 c  let best-direction 0# G% b' F( ~( y9 C5 z# R
  let best-amount grain-ahead
9 U! @+ z# w6 _6 U5 V  set heading 90
, Y6 d( y6 `4 g% i6 t  if (grain-ahead > best-amount)
( \: A  I. T1 a( v; F3 G    [ set best-direction 90' G2 m6 I8 L  S! u
      set best-amount grain-ahead ]0 w# n9 Q+ j/ `: m/ m+ [
  set heading 1803 }7 G0 l& w0 u! X# p; S7 d/ o# Q
  if (grain-ahead > best-amount): X0 y+ O! l/ k
    [ set best-direction 180
1 s! [- c: i& Z) Q: W$ n! D5 `      set best-amount grain-ahead ]9 R0 o( w# i# y9 X3 K8 _" X6 k9 f
  set heading 2706 ]. Y- H' [( A3 I
  if (grain-ahead > best-amount)
4 P9 K1 b" j+ `    [ set best-direction 270
" L3 _( s0 D$ |6 {  X' t* P% D      set best-amount grain-ahead ]# s3 ?2 y: _( B9 Q& B
  set heading best-direction
. t/ M5 J( R% a5 \* @  r: r7 Fend
! v) m$ W" _& ?4 Z1 c
9 \  h8 `1 [$ t
) G3 W& P' p% l4 o9 sto-report grain-ahead  
5 [! J2 `8 C' y  let total 0
! z% [7 d1 C0 Y2 [  let how-far 1
% e& w/ s& T; ~; ~3 v  repeat vision
' b+ ]0 L$ ]: w, W2 Y& n9 b' |& h1 g    [ set total total + [grain-here] of patch-ahead how-far
* V, [" K  O$ t; J" M      set how-far how-far + 1 ]7 |) ^* G( C; I. D+ i
  report total
! [2 B; p6 U1 A: Rend
0 ]% `2 N; v5 F& C9 D
) g# ^" d" V* o& p" Y: r7 c; v7 hto grow-grain 5 Y8 R' {" T/ r8 ]
  if (grain-here < max-grain-here)
( ~4 O$ l: r' B. q2 o$ i    [ set grain-here grain-here + num-grain-grown
5 T, Y6 G" m1 m, T! G      if (grain-here > max-grain-here)
; M! C  j; e! g. g; g% t        [ set grain-here max-grain-here ]
, z" S9 V4 d1 P, Q, e      recolor-patch ]
; w- i5 J, I7 F+ Dend& A# }) t* u' Y7 S9 ]" Y1 t
to harvest
3 D9 @: {, \- M. l$ P6 l0 j  ask turtles
0 `) B$ c6 d( t( K/ o    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]( _) w* g! f' G; e& P7 N) [
  ask turtles
% v, ~) }6 g* ^    [ set grain-here 0
1 q6 e: A. y# T      recolor-patch ]
+ ]) h( l0 r, O. u- L) `3 m# `& x  " z# h+ h( u4 O4 ]5 C( r
end
6 b& m6 V" T9 ]2 A+ t3 j+ [" W. c1 U+ O6 b4 N' Z
to move-eat-age-die  7 S3 @  C$ r. e( {6 G( e8 L) l% r( i
  fd 1
) W0 F0 x" |! w. B  set wealth (wealth - metabolism)
+ x0 V1 N8 A: R* d  ]    set age (age + 1)+ f% ~7 B& _3 x3 {
  if (age >= life-expectancy)
% g& t; F1 ?. Y1 x& L    [ set-initial-turtle-vars-age ]
0 n# e  n' s+ ~$ ?+ Z  if (wealth < 0)/ {0 m0 g& Q+ i9 {# ^9 e" x
    [ set-initial-turtle-vars-wealth ]
/ t* h- W* {7 j) @8 {% K( ~# U+ Z    ! a& Y: e% S; U  C& y8 c
end6 P9 @( ~' a9 i9 Z* v0 s; e# O# f6 J

" }/ B& w* c5 N6 y" _- r* I: W$ o& ^+ T1 {0 |
to setup-plots* S  r! a  P4 w7 C
  set-current-plot "Class Plot"
; L6 Z0 b8 l7 o' \& @& S0 X$ ~  L& |  set-plot-y-range 0 num-people% e3 g, Q1 `( X
  set-current-plot "Class Histogram"
2 x' V+ G+ E5 \4 U/ A4 R  set-plot-y-range 0 num-people
( x  j3 C( {9 y/ U: Dend
% v9 @  i; f6 a& H! ?/ i9 z6 ?2 K" U0 A. m, K
to update-plots
* I3 n6 n! L6 g! F1 E  {8 x  update-class-plot
+ a1 t4 y2 p1 Y- s' M, `8 X1 k0 n- ]  update-class-histogram% p/ l7 S8 L( U* T& c" P
  update-lorenz-and-gini-plots
  u& {) k  G* I' {4 n* N5 zend6 \& S4 V) x& L3 V1 Y6 X

: p+ {( |) X$ gto update-class-plot
1 ?, I$ T! @' ^& x  set-current-plot "Class Plot"
. i3 G2 P* h  v; o% X  set-current-plot-pen "low"
# K/ R1 `+ e( Z0 B9 I9 p  plot count turtles with [color = red]- h0 S+ _% D4 w9 q
  set-current-plot-pen "mid"/ e; g! r) g: v, p& D) o
  plot count turtles with [color = yellow]
$ K9 f* ~. X7 {0 ^+ h. t  set-current-plot-pen "up"6 K2 S* T* k! A9 b. G' L) i
  plot count turtles with [color = green]
) G( X+ a& Q9 m* k* Uend
8 ^# R/ Z/ o* Z& q) h8 T, r+ H, d/ s
to update-class-histogram- N, S& r. \* ]' k  H1 T3 ^9 }+ ~8 j1 E
  set-current-plot "Class Histogram"
2 s$ b' w2 B9 ]# G3 o  plot-pen-reset) r. `4 n1 E& w$ e: v9 {
  set-plot-pen-color red4 a, m3 `1 p/ \0 H
  plot count turtles with [color = red]3 F  G8 i: _8 ?5 f! {6 ?
  set-plot-pen-color yellow' I  Q5 }# r; i' \/ N% N
  plot count turtles with [color = yellow]) f% ]8 r2 K5 p" p
  set-plot-pen-color green
. J) E4 w5 U: t7 ~  V8 w- ~& y# u  plot count turtles with [color = green]
3 e2 {3 y6 l8 _  Y1 dend
6 N, d" y& k0 Xto update-lorenz-and-gini-plots
; `. @9 k, x8 U/ W, U, A  set-current-plot "Lorenz Curve"! E: t+ I6 c/ u1 A$ w9 N$ r5 X+ ^3 ^
  clear-plot
: R1 F; U8 L, }8 U# D- u& Q% u8 g; i6 q4 Z
  set-current-plot-pen "equal"
1 m% V2 O) @9 p3 F0 S* p  plot 0
$ `& ~, z( ^: ^$ E' e  plot 100
, \% ^" A7 M  O$ u2 h; F/ b! Y1 z  Y! F' j- ]
  set-current-plot-pen "lorenz"4 G' `+ U3 ~, e8 ^. V1 Q2 b2 ~
  set-plot-pen-interval 100 / num-people
: Y* t# M3 j6 g! v/ v: G( }: f  plot 0( b4 K+ |* Z8 L/ U# o4 R4 G7 T
/ s/ l) |0 `+ }* n0 U- r3 K
  let sorted-wealths sort [wealth] of turtles
. A: D$ w7 b9 ^4 C  let total-wealth sum sorted-wealths, n7 b. D, a/ Q  S$ K3 j
  let wealth-sum-so-far 07 ~- J4 H- q2 m5 i) x
  let index 0
) l( p" X3 {: S' V3 p8 D; X3 m  let gini-index-reserve 0/ S1 L& D4 J7 m" Q
( p3 e7 ~/ P) ^
  repeat num-people [
3 }/ ]* B" M. ]* w) R    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
0 [9 g. A; P) ?/ s, ?: U3 ^    plot (wealth-sum-so-far / total-wealth) * 100
5 u; X) F' t# w$ l0 v    set index (index + 1)% p5 G7 D* w; o
    set gini-index-reserve
8 C- w$ W/ q" e      gini-index-reserve +5 y' K6 p1 O6 f: o
      (index / num-people) -8 ]7 ?& n- ^; ]9 Y5 g' a( v& T
      (wealth-sum-so-far / total-wealth)
% E- ]% c' @0 v  ]5 M2 q" x" x$ I! \5 _" H  ]( \

2 G2 y5 T1 O3 e" d/ \+ P/ ~' Y  set-current-plot "Gini-Index v. Time"9 Z) l) ^9 |6 ?3 x7 l2 E
  plot (gini-index-reserve / num-people) / area-of-equality-triangle/ W2 C8 U% V4 i- Z5 G
end
0 }3 o7 z" f2 x4 J/ h* M2 |+ q' wto-report area-of-equality-triangle5 |3 ^1 R" O0 e& f" f) ~6 Y6 r
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)7 N' q. |0 _8 N1 t/ d
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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