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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6 _/ }; x7 W4 x! }
globals
) W0 K% B; c) r% B[
) d% m& a4 Q% y- S  max-grain    6 v2 j% J& B+ F2 J/ {  J

( w; U- o4 V* y5 O/ X7 i4 n]3 Q# }* c  N) F
2 [; M" \+ u" q
patches-own4 i1 X, m' D' {  S+ D: I
[
. l; Q: O! ]- G5 K" e  grain-here      6 k, O/ v# k! D
  max-grain-here  % ]9 C" s) h  E6 w) n% X0 k
]
5 ?6 g3 Y! X/ ~, X( h. Y& t
! x0 c% U5 X3 k% v. d- t8 Pturtles-own9 K  C3 [. _8 h' y9 b: u
[
: O* ^( ?* q: q+ Y+ v: P8 K: Y  age              
0 a! M8 I7 C- o0 W% n/ \! T3 X  wealth         
* G) [% e- Y9 x  ]5 f3 V3 _  life-expectancy  " I8 C+ c0 [1 `  b) t
  metabolism      
' i/ v8 W' K) L  vision
% f; n4 i$ O" X, c( c1 l( r3 L  {8 {  inherited         
9 r. ?9 k5 c7 `  C5 h]
8 `/ o- s9 p+ g; \1 i
* |. ~! m- L' w# ?( L8 Y
2 k6 \8 n! r% y1 H# Wto setup, h* i' E, n0 |7 J5 j
  ca2 ]/ p% X& K! ^/ f1 A. i5 X3 V
  set max-grain 50$ B, e9 K1 a/ y; i* G) A! o
  setup-patches; v* }8 j/ p  F; b; Y+ _
  setup-turtles
4 b6 z1 A9 f+ `6 b  setup-plots
- g& x3 h- r4 D( b/ `  update-plots5 u5 ^. M$ p+ x
end" D3 _' i  A+ z) l
to setup-patches
; R7 L, E- N: t0 c6 V  ask patches5 K: a, A' P/ O- D  v
    [ set max-grain-here 0( n' H4 c& x9 L( Z1 S0 |  q
      if (random-float 100.0) <= percent-best-land
9 t" E0 \$ m# Y0 y8 m        [ set max-grain-here max-grain; t; p# e2 o7 U
          set grain-here max-grain-here ] ]
% |0 B" B- U' y4 Y, L! T2 P5 t8 k  repeat 50 E1 z6 m% x; W  p  H
    [ ask patches with [max-grain-here != 0]
  N" d8 R; n$ [1 l' j( a9 K) p9 [6 M        [ set grain-here max-grain-here ]1 ]  O' I0 W4 ~# U4 l1 m
      diffuse grain-here 0.5 ]
/ t3 T+ G& _+ J* v6 w+ C+ u0 ]" S  repeat 10
5 _- p1 P1 M, O" F# \7 p# V+ e( v    [ diffuse grain-here 0.5]          2 S& o: u4 ]( r, x, ^3 Q
  ask patches
0 X0 f0 {0 ?( e' l) c; _) h1 c    [ set grain-here floor grain-here   
# i6 @) d& z- h" c$ T; Z      set max-grain-here grain-here      
: X4 u  l+ x5 N9 _; u3 ], q7 ~      recolor-patch ]
% w$ e9 D  z+ R, R: L+ `% iend
( n  O7 ?& t3 q  sto recolor-patch  " i( _' }: h9 b, K; u1 g
  set pcolor scale-color sky grain-here 0 max-grain
1 ^- O6 U( `* nend1 G) n9 _" ?4 _: ~2 j+ q) ~/ M0 X
to setup-turtles
* x& P5 `3 E7 P( A: R+ b  set-default-shape turtles "person"
+ N/ v( a) z- X8 g- l" H0 ~; v  crt num-people
  K) g7 O) a8 G* E) C$ S' d4 |5 I    [ move-to one-of patches  - r1 k7 I0 _! G3 E( q2 A# ]* B
      set size 1.5  . F/ K- J6 |' ~1 p! p* H' A
      set-initial-turtle-vars-age
8 O& M5 }( x5 }      set-initial-turtle-vars-wealth
  |. ]) E' v  y      set age random life-expectancy ]
. R* I% V9 t; _" d2 ~4 S  recolor-turtles
4 B9 {( z- g, g1 I( oend7 p6 t  `$ @7 _3 R/ M
& V" [' `2 q) Z2 F: s1 T1 l8 h3 s% Z' o3 {
to set-initial-turtle-vars-age
1 T. b- z2 o: y* q& T let max-wealth max [wealth] of turtles, P* @+ N( _! @7 _8 x. m
    " h4 K) i, u* D0 N1 t7 k- H) a
     ifelse (wealth <= max-wealth / 3)
2 P5 G* r0 P5 ?) v, r2 Y$ M+ K7 |        [ set color red
7 m& ]) y# |7 \' S6 R' E4 q! Z/ C! i          set age 0$ X+ _5 B7 y- I3 q
          face one-of neighbors4 " @/ A" Y% ?1 A+ C; @1 q$ p
          set life-expectancy life-expectancy-min +
, g1 P6 Q1 r- N: K4 E. t                        random life-expectancy-max , |, n) S4 @5 F8 Q! R) h% x# R
          set metabolism random 1 + metabolism-low- D* |8 z6 k$ c* W7 d( ^3 o
          set wealth metabolism + random 30
! z4 a. h& ?8 a. Q0 x# D          set vision 1 + random max-vision0 y  N8 X' ^: |
             set wealth  wealth +  Wealth-inherited-low ]. H# A6 K- j% `1 ?( @  N5 G
        [ ifelse (wealth <= (max-wealth * 2 / 3)): l; s4 Z. L. _. r
            [ set color yellow 9 x* `( `5 R5 {5 i6 ~$ ]
              set age 0
: s  o$ T( v' R, P( d9 F9 M              face one-of neighbors4 7 g1 ]' _5 Q8 x: O8 _) z* l" ]8 ?
              set life-expectancy life-expectancy-min +4 a" X% R  d  y4 @" {: a
                        random life-expectancy-max + 1
% J2 \9 g& a9 N; Z( m9 S              set metabolism  1 + random metabolism-mid
4 p/ [' G' q( }  n" H              set wealth metabolism + random 30
2 I3 `' i- \" D0 p              set vision 3 + random max-vision
! R5 ]  h/ C; y: u* o                set wealth  wealth + Wealth-inherited-mid]! d) N( ^6 w* r. j( a& [0 D
            [ set color green
+ G; o" R! T( c* f0 b              set age 0: y; {; m4 `9 b7 P  O: F
              face one-of neighbors4
3 d8 c8 ^- W9 W- k9 P              set life-expectancy life-expectancy-min +
  U' S  N- d, o/ [( m) e- }3 y                        random life-expectancy-max  + 2/ D3 C9 U+ n! p  m
              set metabolism 2 + random metabolism-up* N% }: K) a3 E- q. m) f# d: }
              set wealth metabolism + random 301 o# q0 |% y6 `, \9 {7 b
              set vision 3 + random max-vision
/ V) @9 t3 R: Y/ O              set wealth  wealth + Wealth-inherited-up ] ]
6 [6 ~& n: z2 E1 I, n/ D8 i3 k* c $ |( _  I7 _2 ?5 ^. @, |; ]! w
end- s% x- Q) z( k% x5 T9 Z: S! a) t$ A
to set-initial-turtle-vars-wealth
$ {, |. N! f9 l, T5 O9 ^. x let max-wealth max [wealth] of turtles
9 ~) n, t/ u. Z6 f5 E8 Y          set age 0% G; c4 x, k: q9 \; H) L0 F5 R
          face one-of neighbors4 " ~7 p+ V+ q9 U  C+ ]! q
          set life-expectancy life-expectancy-min +
$ s9 [/ V+ V) k; Y                        random life-expectancy-max 5 ]) Z! K& ]4 e
          set metabolism 1 + random metabolism-up9 R# l, d; m( R0 Z! q  T! S; v
          set wealth metabolism + random 30% w2 j0 [' c  v$ L1 H# ^
          set vision 1 + random max-vision 3 h; ?- ^( z% z5 |" k
end1 \8 w  ~; G2 B' s
to redistribution
$ L& O* Y, v- i6 b' ]/ Klet max-wealth max [wealth] of turtles, J. ]8 }' i  V7 Z& n  B! p" V  Z0 O
let min-wealth min [wealth] of turtles! M8 ?  K% ?! ?
if (wealth <= max-wealth / 3)
* m# u# n$ N0 n' ^2 V [set wealth  wealth + Low-income-protection ]
2 G, W, x% ?! o$ S& W0 `/ |+ Send
- t6 i3 v4 c& d0 a1 l4 t! ]8 _          - {# E0 @3 n: h* r
to recolor-turtles  `& ?+ O! k! V
  let max-wealth max [wealth] of turtles% ]( m4 c/ h& ]+ @7 ?+ H
  ask turtles% j' h! k7 ]9 c: l9 F& W
   [ ifelse (wealth <= max-wealth / 3)
9 k  y+ ?1 X6 C# V$ ?        [ set color red ]- N- Z) L0 m2 H/ s' V
        [ ifelse (wealth <= (max-wealth * 2 / 3))
. Z+ g! _0 r# k* o/ ^/ f2 {; f. Y$ W            [ set color yellow ]
3 K! z* o% {$ F0 L) @+ @4 S8 |3 y) @! h            [ set color green ] ] ]- D+ Y6 x$ {$ d! {- B) j8 D- a
ask turtles [ifelse show-wealth?  q/ S& J! _1 p0 V3 `
    [ set label wealth ]$ y9 w7 e2 V( C/ ~" l8 K
    [ set label "" ]]- I% `: x6 M# c+ ~
end8 I8 G7 O0 k0 N6 S; U- c5 v
+ r5 X3 i, d+ w  F" u0 r
to go
: S/ j: j0 c" O. l7 n/ I1 A2 p  ask turtles
& {/ x( K+ w1 {+ [; r. D    [ turn-towards-grain ]  + _: {9 R4 U2 }1 K% x
  harvest) g4 h; x  m. ]( P# k
  ask turtles
7 W  B/ E; X, m+ t3 E6 m9 V    [ move-eat-age-die ]# q; \0 O: ^& P/ \0 R
  recolor-turtles; O' B4 J# [& ]7 j; G4 @
  if ticks mod grain-growth-interval = 0* K2 w/ Q! W5 |+ i* j8 Q  Y. P
    [ ask patches [ grow-grain ] ]1 [( X/ l, u- ^# E
   
1 `5 x9 h% t5 Q9 V  if ticks mod 11 = 0
, K( b' a0 j/ Q7 }) F, N  [ask turtles
7 w- \+ s  x; B  _' z- c8 m  [ redistribution ]]
9 d0 C" D6 D$ }  if ticks mod 5 = 0
6 ^* L  H% o: L2 ~, x3 Y   [ask turtles
3 F) n( H  k2 a; Q2 [" @5 j$ _  [ visions ]]% h$ I/ F/ e* I
  tick* y# ^+ ]$ f) M9 W
  update-plots; w. s+ \* b7 q9 ~
end
2 m" ]0 Z$ J& ato visions+ i* M8 ~  ?  n( G9 m! Z# U
set vision vision + 1 7 s5 M  G( C6 J- d, d5 i
end
( A0 @, d1 u2 C  f7 G6 X5 b. ?" |+ [! ]; R
! j1 D6 B+ R. `; h
- z7 P. r0 M3 z* g; i  R5 w
to turn-towards-grain  " D+ Y; e! @% L# [
  set heading 0! u" j2 r% k9 {/ P0 Q1 j2 L) {
  let best-direction 0& k+ E# p# L' B* N. _( k5 v
  let best-amount grain-ahead
* d1 ?9 x; G1 O. t  set heading 90
5 p3 G* o2 \& O$ a' Z  if (grain-ahead > best-amount)
( l4 S% P1 a6 H/ W9 e    [ set best-direction 90) b; V4 |- h4 _
      set best-amount grain-ahead ]2 u8 @' L3 E! T  P, Z
  set heading 180
4 [: r( W2 s: a8 M0 D5 Y  if (grain-ahead > best-amount)
! J7 V5 p6 s' k% ]    [ set best-direction 180% q# z1 q+ A" @) o1 l- @! \
      set best-amount grain-ahead ]
0 X( N+ C5 }/ c8 w9 {3 G: Q  set heading 270
* O) z4 o! J: a0 p5 N8 o6 k  if (grain-ahead > best-amount)9 [- f2 t. V: [4 o) k# ^6 O; R
    [ set best-direction 270  N: ^$ ?& _4 E; y$ W" ]0 L
      set best-amount grain-ahead ]
- v1 |8 H! y0 ?9 n0 T5 Z0 l  set heading best-direction
0 Z& M% m. E8 t$ xend0 b6 H1 f5 z+ ]* Q6 W# d, r
6 Z% M$ {6 D- H1 \: x

/ l; v( r: ^+ u+ w- eto-report grain-ahead  
6 A9 Z6 w/ _( U( }) b# U" s8 g  let total 0
% e# }; I/ T2 {# F  let how-far 1
0 l! c. g/ G+ c9 o1 N7 O$ o  repeat vision
$ S; }) d# d# m4 J6 \    [ set total total + [grain-here] of patch-ahead how-far
1 Y' Q* h# e5 {* l      set how-far how-far + 1 ]6 ^' S! H  {; |5 _% t# G- j
  report total
6 K% i3 d" G  F; S5 Uend/ _, _! M* G+ K6 O3 f) I  H, S7 m5 L# H
! `, d0 t+ v3 ~1 o
to grow-grain / t. G$ j2 z3 n2 [% n
  if (grain-here < max-grain-here)
' d$ w  g4 \. m8 U' l3 q/ H    [ set grain-here grain-here + num-grain-grown
( w& p; f% d  }7 ^$ E      if (grain-here > max-grain-here) " D0 u) Q& k. ^4 W% K
        [ set grain-here max-grain-here ]) v, S5 P+ U, B2 @
      recolor-patch ]' [0 C( h% Y# y* A  @" B
end
8 m- c' g$ _) Yto harvest) Q. _$ ]# ?3 ~: ^$ E/ i  E7 z
  ask turtles) A: G$ I9 J7 a7 T1 Y4 W
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
1 o3 k. T5 m- V  ask turtles
# C7 R$ S. R! r1 {" \    [ set grain-here 0
" u! k( x; e% A$ Y, |      recolor-patch ]$ ?( E$ V5 I+ s0 @, u
  ( ^) A$ R. c! Q% e3 T6 z
end% Z! Y0 J8 \$ m: g* Q& E2 B  x
, q0 t2 q$ I6 w9 C
to move-eat-age-die  
" j: b: e( u3 [0 U) e& t. o  fd 19 d  c( C- V2 A) b% Z  U7 \" ~
  set wealth (wealth - metabolism)
' W" @1 I& P) h$ l+ G    set age (age + 1)
9 g+ \8 a) D+ m* p) n+ |  if (age >= life-expectancy)5 O% I+ y: b# _  m/ R9 S1 V4 @
    [ set-initial-turtle-vars-age ]
3 ~1 i1 C. z" y6 R% \1 {. J7 {  if (wealth < 0)7 Y( [/ k4 n* \/ m
    [ set-initial-turtle-vars-wealth ]
% _+ N. {7 t; F* Q! P& o2 R4 P    * V5 P2 j$ I2 F9 a) `
end
$ ^$ E) S) N7 a3 e0 Q7 Y# b& Y# P& s3 ~' g1 G! \! \0 L
" f& K' d( K, }9 C& f8 S3 E
to setup-plots
; L! l% Y7 v" _( `  set-current-plot "Class Plot"
" A. U* c8 E$ Z3 _% L9 X& j! a  set-plot-y-range 0 num-people- v; K3 h+ m5 b$ T+ f
  set-current-plot "Class Histogram"+ N8 c6 W- X; p8 B( f0 a0 F5 S6 d
  set-plot-y-range 0 num-people7 S4 z& {4 K1 e) O
end
% B8 E5 F! U( X7 }4 h. G7 ]$ x
. v! T( Z0 E  K+ P+ ]' C  F& F& Q# _* Sto update-plots
) ]8 Z, g/ }, I( _# _6 A. v  update-class-plot
! b* `5 B( {/ I- Y1 Z* o6 B. d  update-class-histogram
" H5 o4 i) y0 N  update-lorenz-and-gini-plots
7 t0 J) m5 f# `, Y0 t2 i2 z" y% Eend' a- D' b8 P7 C/ |" p) S
. d8 X' w& n+ T5 k, w% n% [
to update-class-plot
4 ~+ L7 q+ y3 I' w7 I2 J; f/ [  set-current-plot "Class Plot"
% R2 h& E& o- }7 l0 m* o* v8 S2 ], l  set-current-plot-pen "low"8 S: w1 m- r2 R2 L6 @
  plot count turtles with [color = red]
! O& V; M1 L+ w) ~, d2 |  set-current-plot-pen "mid"
8 h! P* ]+ l6 [& a9 f  |3 N3 K  plot count turtles with [color = yellow]8 n, F8 h0 T6 S
  set-current-plot-pen "up". B! D2 ^, p+ ]  M
  plot count turtles with [color = green]6 C" X7 r0 W9 J+ f) U$ X3 y2 n
end) l6 j0 _. J7 @7 v7 ^

9 ]2 _2 X; w% e1 M3 R8 j8 Pto update-class-histogram- o5 P# F$ J" B  b  |; o
  set-current-plot "Class Histogram"
, c3 h& U3 w, W0 \$ W, ~- ^6 n  plot-pen-reset0 a9 I, A2 g9 b
  set-plot-pen-color red6 X& i& y" b. ]
  plot count turtles with [color = red]3 ?3 |9 n5 V3 g- V
  set-plot-pen-color yellow
. h: B( h9 R- q, z  plot count turtles with [color = yellow]! @  p8 |' h# T( w  r6 W" }* N
  set-plot-pen-color green
. c7 w( H* P6 b2 O0 A) a9 m  plot count turtles with [color = green]
; l0 B1 m& S5 Bend
- M  I0 U/ a6 K+ zto update-lorenz-and-gini-plots- i# O, V2 P4 {$ W
  set-current-plot "Lorenz Curve"
! t' T0 w* |/ d! P  clear-plot+ |. Y$ V$ h0 U, }& [, ?0 r* w
" f5 `! Y" ?) c* [0 s: N
  set-current-plot-pen "equal"
' }& m8 A' s( R5 L" O  plot 0
- H$ l% h" h9 q  plot 100
9 e+ p3 D  k! Y! @/ r6 \8 D, ]7 e, b# Y9 ^8 V
  set-current-plot-pen "lorenz"$ @! z9 l8 b& I& q7 Q; S
  set-plot-pen-interval 100 / num-people+ P7 V& Z, a; i" w
  plot 03 N2 m7 ]+ A0 u' o5 H, \8 e5 X4 J

: b3 d% V$ `' x: |# u1 ], w7 @1 m  let sorted-wealths sort [wealth] of turtles
2 r7 X1 ]9 z: P  let total-wealth sum sorted-wealths6 W8 j6 }' ~+ c. x/ L( O
  let wealth-sum-so-far 0
' N9 N3 x% z1 Y/ i. f" x  let index 0+ `4 L5 {2 V( G
  let gini-index-reserve 0: J' B( n" A0 k  |( O' d% u
6 P# L3 X- N; O: u8 i
  repeat num-people [3 D1 v5 j; I* ?- S1 v
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths); ^# q6 ^, [/ x% [  k
    plot (wealth-sum-so-far / total-wealth) * 100
& Z2 u& U! _0 X- G) m    set index (index + 1)
* {  s$ m: V9 d  y    set gini-index-reserve/ v! @) \8 U6 @, s, l; Z
      gini-index-reserve +6 |/ \! b7 H) |/ V/ X$ V3 h
      (index / num-people) -+ w; l2 v9 ^. ^) v& e
      (wealth-sum-so-far / total-wealth)
- R8 j+ Z* s8 R3 d6 L  ]  l. r- b4 q- e7 ~

5 k) v! _. x$ I& c7 b# Q  set-current-plot "Gini-Index v. Time"
0 k5 l8 k2 H  P( Q  plot (gini-index-reserve / num-people) / area-of-equality-triangle
" H6 A8 }* R$ }9 q# V3 b+ a7 {! yend) N# v. [9 f+ G& f0 K+ u3 U
to-report area-of-equality-triangle" l- P) w+ I" z3 A; u0 [
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)+ V7 R) ]( I4 a
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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