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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" Y3 Y$ v: ^9 q% W4 }# ~! E
globals) N7 x3 a$ K  t! l: Y# f( X3 L! g
[( N4 J8 S; {9 E1 Y& j% w8 _
  max-grain      N9 J: g) B3 Z' Q& p9 y! I
6 Q# N% S7 i# J" ?* J/ ^1 ^6 u8 z
]
* C% `; Z) |0 o3 a0 [* @9 X  m/ S& L! _9 o+ B  j1 e
patches-own
! V( e" C5 b7 b2 Z0 {! R9 ?[! I& R. W0 o5 B$ U
  grain-here      " o4 g0 F/ @9 l) x
  max-grain-here  
% H2 q6 E' a2 S% l]
8 r' C* J: |* |( s; A" o* ~9 I: ]" v  t# j' P
turtles-own# Y# s7 Q+ f  h- C
[
) ~3 ^: \' q3 Z7 Y$ M7 f  age              ' V( b" r! }  y" d' ~! \( x. x% m$ h
  wealth         
3 q' Z" l) M7 g: r  life-expectancy  
: Y& s7 F$ D) b5 S% _0 l  k4 S! H  metabolism       . {6 _8 c1 Q; q' ^7 w4 y+ I
  vision* P1 Z* f; ~5 _; W2 ]) z: I& [# `8 c
  inherited         
+ }  N$ K2 z7 C) |. z& L2 ?]  B/ P1 p( x, c/ [( p8 K9 G
& Z% _* R1 J' f5 O+ S* E! u

+ {4 L. i* X) e4 lto setup
# q, h5 ^) n/ q; S  ca
: T6 j. o, m% V0 x% l& J  set max-grain 50( C( n3 |; F6 v! j
  setup-patches
, X3 |) P* c' X2 C; A+ @  setup-turtles
5 ?5 b  ~* g: r  setup-plots
8 s$ ?5 A  J7 r- S% m) A( G9 p  update-plots
; I& I: z3 j$ S( v$ v4 @3 E' }end
$ V5 k* u$ V+ z! Oto setup-patches
/ \) a9 a. l6 C; \% z/ A3 c  ask patches
! E# L' \1 B- d: u6 H! s    [ set max-grain-here 0! x2 {4 u+ \! Q$ g3 d
      if (random-float 100.0) <= percent-best-land+ n8 g; E) |1 b) Q+ N; h
        [ set max-grain-here max-grain
$ e" _2 y% \  |, [          set grain-here max-grain-here ] ]4 u( m; n# r9 r' D( w
  repeat 5
  ?5 z" E/ Z5 [) `$ t- l    [ ask patches with [max-grain-here != 0]
" _8 Y7 I+ W+ t, S; f$ A        [ set grain-here max-grain-here ]5 h0 K7 }2 g) v) A% L
      diffuse grain-here 0.5 ]
2 ^5 n/ M, q0 l/ F% u  repeat 100 t8 ^0 c( E2 N8 _
    [ diffuse grain-here 0.5]         
4 ~0 |3 O5 A# P- @! E+ i) z  ask patches7 I& `3 p& |0 m2 w: T5 \+ Y
    [ set grain-here floor grain-here   
1 t7 N2 Z( z4 V& U      set max-grain-here grain-here      9 W/ a7 b6 I3 X$ G! Y
      recolor-patch ]  i* L) O$ h5 F+ [0 U; g
end
4 m. ^1 I9 i  _9 Pto recolor-patch  
# }: l/ p5 Z: N0 ?5 ?/ d  set pcolor scale-color sky grain-here 0 max-grain
& O: x# F6 p5 R. T3 w3 R9 w) K" xend$ W# z8 V0 p  S
to setup-turtles$ L# f! i8 k5 w1 b
  set-default-shape turtles "person", ?8 R# A+ C* K" J6 a$ I9 H
  crt num-people
0 w( X" ?* m$ z! O' \" r9 L    [ move-to one-of patches  
" ]8 T6 i7 L, T. \1 W) v* T      set size 1.5  3 f2 B. n- s! {6 X0 b
      set-initial-turtle-vars-age
. U. {' ?  o' A. n: ^% [+ G. W      set-initial-turtle-vars-wealth" J: ]& B% C8 Z& |  l
      set age random life-expectancy ]
' ]8 l* @5 L0 a4 ^  recolor-turtles
: d* z' ]& R' Wend2 H% s( \' O" t6 w- z/ K, ?9 }7 Z
" m% \! v$ c* ^6 R$ ~
to set-initial-turtle-vars-age; j# C; l+ O( `1 Y- O
let max-wealth max [wealth] of turtles
9 X5 P: Q; P8 e3 H$ z/ W   
1 D1 u6 D" a  x* m+ j, p" q     ifelse (wealth <= max-wealth / 3)
& t* m2 b5 }) B# L; c: U$ x6 I6 s) e        [ set color red
' L$ c" X& A8 Y  ^  ?1 h- K          set age 0# n7 I7 \* W1 l6 q& u- z
          face one-of neighbors4 9 {( h0 ^1 i9 h$ f1 _7 ^
          set life-expectancy life-expectancy-min +
. k; ?+ [0 L( Z/ j# i7 d                        random life-expectancy-max 4 U. Q/ _$ i7 P9 P; W$ L) o# I' d* o
          set metabolism random 1 + metabolism-low
1 P0 u3 i* ^  W; n0 Y+ Q5 k8 h" T          set wealth metabolism + random 30% f  |* L1 X: H  o
          set vision 1 + random max-vision  m7 ^9 w' D4 d& b6 O
             set wealth  wealth +  Wealth-inherited-low ]) \% j8 b( ?! |) \% Q
        [ ifelse (wealth <= (max-wealth * 2 / 3))
6 }5 w5 D: P4 t1 e7 v            [ set color yellow 7 b) L8 \9 P1 ^& J$ x# V7 L! A
              set age 03 N5 j/ W$ d) L* d
              face one-of neighbors4 ; e# U$ B* e% V* P) ~) t* \/ e
              set life-expectancy life-expectancy-min +; Y, m) j7 ~! V- c2 n
                        random life-expectancy-max + 19 ~, J8 o( |6 i
              set metabolism  1 + random metabolism-mid
( ^& O. D0 C- T  |% s              set wealth metabolism + random 30* H3 Y' g/ P5 x
              set vision 3 + random max-vision$ \' ]3 ~6 B. f) l5 ^# g0 j: r
                set wealth  wealth + Wealth-inherited-mid]) w9 G" q7 v$ r4 H- W' S
            [ set color green
2 t! y. i: Y7 e* F3 O8 Z. P. l1 ^              set age 0& z6 H+ ^% {; e1 j% j6 m
              face one-of neighbors4
3 D# ]7 ~! X( _; v( @, ^              set life-expectancy life-expectancy-min +
  J1 n# d6 S! Q0 e) V( \                        random life-expectancy-max  + 2
$ t' m; l& y& Z              set metabolism 2 + random metabolism-up9 g6 w0 M  d  s8 B$ ?5 w! H
              set wealth metabolism + random 30# A! i6 {0 C; n$ |0 @% m4 \
              set vision 3 + random max-vision. h3 q3 E' {% b$ [; y; _- `& q) Q8 T
              set wealth  wealth + Wealth-inherited-up ] ]
9 R+ W: h1 F# Z6 I& [
7 l! |1 w3 g! Jend% g% u( \4 p- H9 h4 j
to set-initial-turtle-vars-wealth
9 T7 d9 j% g/ K* C3 u2 d3 y let max-wealth max [wealth] of turtles( B$ \" X2 h- U2 q2 i+ S, i
          set age 0
6 X  j& D! v+ S          face one-of neighbors4
/ L, i3 l& K2 D+ ?0 Z, M" ?          set life-expectancy life-expectancy-min +, J6 H* t: Z- ]- C3 a: ~
                        random life-expectancy-max 1 @6 a' A7 F. Z; K; |
          set metabolism 1 + random metabolism-up
9 O3 T+ e0 a1 j" t8 i7 S          set wealth metabolism + random 30
! V& v! l" m1 ]* R+ K. ^% k# p          set vision 1 + random max-vision $ x! \3 J: j5 x% Y
end
! K$ _( S: T/ l8 Qto redistribution
" F$ F. s* N) K* Q6 T" Q1 elet max-wealth max [wealth] of turtles
. [" E2 X) I' Y4 k5 g1 {) j6 U& |0 dlet min-wealth min [wealth] of turtles6 a) K( ]9 s5 i8 m9 z
if (wealth <= max-wealth / 3)
( l! w  V* i4 J7 i9 Y# C( @# c [set wealth  wealth + Low-income-protection ], M+ p! L0 y& v7 o. n8 V
end
+ B3 f* Z) g, s. f& I         
' \8 [" @' A3 Y9 s3 q- `% e' L+ Bto recolor-turtles
7 K( ~" H6 _% ]  let max-wealth max [wealth] of turtles
9 S( n6 l6 ~  G/ O  ask turtles
: p5 ^2 M  z$ w! {! k1 }; Z   [ ifelse (wealth <= max-wealth / 3). t; ?" q* C8 j0 G( M6 @# P, O* O
        [ set color red ]
& j7 a4 c! h% g% I        [ ifelse (wealth <= (max-wealth * 2 / 3))
# m' x# `& A) K; D            [ set color yellow ]
+ i. h8 a3 I% C% w7 z( W, M            [ set color green ] ] ]9 A5 N2 l+ M7 T% s4 _; l
ask turtles [ifelse show-wealth?
. a% o0 V1 O) J: r* Y5 c) c# k    [ set label wealth ]/ s) p6 y6 x1 @+ E3 {* v5 K4 j  i
    [ set label "" ]]
3 }- `4 D/ u9 c% v5 a, y% T7 Kend# [2 h0 L  t3 C
8 _" @$ X/ A( I. ~# V
to go3 k: X0 @+ L( [, ]  r: I
  ask turtles
6 a" u+ x) U* u5 l- Z: I    [ turn-towards-grain ]  
' K+ J* |7 L3 `  b% S  Y  harvest
( v! X4 y9 s# e" x0 W8 ]  ask turtles
2 p+ P% M+ X9 G4 p& L% a    [ move-eat-age-die ]- E, k5 C# s* P' }( g
  recolor-turtles' `& v6 [0 `6 u7 o& E: @
  if ticks mod grain-growth-interval = 0; x, T5 [! n7 \: a$ B0 D7 r
    [ ask patches [ grow-grain ] ]
# k0 R- B) T3 _   $ F7 W, x  `/ j6 C  N1 L/ V: ]1 B
  if ticks mod 11 = 02 `# {+ _% ]' `9 v: E
  [ask turtles
) z& {1 k& b; e+ y& D9 ^' N; ^  [ redistribution ]]. H5 a+ O- u" S0 M1 V* w) N
  if ticks mod 5 = 0$ l& s1 F8 T6 G% \9 z9 m) i6 s
   [ask turtles: }: P9 a+ \, b" c2 u& E
  [ visions ]]" Y+ h8 o6 b% Z: O; ^3 S
  tick3 Z( p5 B) ~! k7 }9 k) A
  update-plots' L3 P* C+ l, _: }/ h5 w
end( Y9 e. ?$ V$ s6 x
to visions
" L) @) x0 @' l set vision vision + 1 1 {8 R0 M0 A4 |7 U  J8 A) h
end, ]: N! R3 u- R5 V& c4 s% X. r

+ W# D) T- Q" z( ~
0 R  U2 }! b7 A, z7 q+ K
: f; W8 N' \" w+ z- `to turn-towards-grain  
0 p% m4 N8 A. E  set heading 0& n' O  y/ Q; X" Q$ K# V
  let best-direction 0
5 U% E9 @( z5 o# c. x- p  let best-amount grain-ahead: ?/ r4 @8 s* L2 S7 S
  set heading 90
  T( j: h. e$ K! ^& Q( s# i7 l, P  if (grain-ahead > best-amount)2 y; u6 f2 o8 `
    [ set best-direction 90
7 Z" ^5 S3 K* }7 D      set best-amount grain-ahead ]
2 p: f2 @/ i+ m- [  set heading 180" s0 Y# R( @, a0 [
  if (grain-ahead > best-amount)  K" K9 T: o* W5 w1 Q1 B
    [ set best-direction 180
+ R% V- O* D& i8 J4 Q) }      set best-amount grain-ahead ]: E3 c* L0 f, Z. O' w. x
  set heading 270  B* P* V2 X: D) o  h# d
  if (grain-ahead > best-amount)
. H% |0 G% d8 B7 S: ^% z    [ set best-direction 270
) O4 v8 X" c6 p1 B      set best-amount grain-ahead ]! {* e  ^# m! n- f
  set heading best-direction$ ^( Q. u: P2 A. r- u7 ~2 y8 A
end% s, a' Z2 Y! O- `

5 H3 U' o( H/ s' X  z$ z: Q% R' T2 o
to-report grain-ahead  0 j6 w: i# l- Q2 v7 d1 c9 i
  let total 0: ~2 d# }! m% j( t4 ^% W, s: i
  let how-far 1
( |3 H6 H" |' @& J+ A" I4 r  repeat vision, `# q. E5 |$ [" F: k# d5 y+ x
    [ set total total + [grain-here] of patch-ahead how-far/ n+ l0 ]1 \) R4 u/ _# `, y0 @% e
      set how-far how-far + 1 ]8 y% q1 t' [9 K5 Z' U
  report total4 c+ s5 b8 x1 O) g
end( U8 u: r3 N0 {; U- v! J0 I2 I
# ?1 `& T+ {7 D$ G) d; S
to grow-grain
( m, Y8 ~3 f* B, r0 [  if (grain-here < max-grain-here)% y  b1 s. j5 V6 v7 j* \# M
    [ set grain-here grain-here + num-grain-grown6 o7 S& A8 J" M6 w& R0 v
      if (grain-here > max-grain-here) + n5 Y9 d2 E3 s4 v/ N. B
        [ set grain-here max-grain-here ]
# s) M% r! [7 s0 S0 A$ b      recolor-patch ]
& X  Y% _3 N; Hend
9 \) r2 @8 o) dto harvest
: L& ]& [4 X5 x  ask turtles
9 T' ~" j+ u: ^& z- S    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
3 k( H0 X8 w4 w/ f  z  ask turtles( @  L" ?/ l1 e. t* @2 d+ a! R% o
    [ set grain-here 09 k* |0 r1 b" f% z" W9 x
      recolor-patch ]: @. S7 w) _, ?& H- A# g
  
! c+ `5 l8 g' K; P$ aend
! T: p1 W! h, ~4 b
& E* M- q7 ]  D3 ?- Ito move-eat-age-die  ' S; d$ c& y% Y% K
  fd 1
' v( f" s0 u* _' L5 P  set wealth (wealth - metabolism)$ d6 h' L% F+ b; g1 w( T0 i
    set age (age + 1)+ Y$ ^  O2 S/ y; `' q
  if (age >= life-expectancy)
+ [" H/ M# p9 Q3 S8 M" {5 ]0 w    [ set-initial-turtle-vars-age ]- O2 Z5 p% P6 L0 v8 X" R
  if (wealth < 0)+ y0 N5 ?, I7 t2 S, ]& X
    [ set-initial-turtle-vars-wealth ]1 Z. D$ c" a9 ~( _! B2 q% X7 n& V; Q
   
3 z* o# g& U7 }, |. {" k- f7 l) ^end
+ ~% y6 S9 p' q+ Z) z) I' C/ T$ z% i  P, c3 F, V! f+ a

) ]8 ?+ {( D% R; e. ]to setup-plots
. _9 U: ]- X% h& b, f  E" e  set-current-plot "Class Plot"
2 N! C) ~/ ^) K3 u+ ^  set-plot-y-range 0 num-people
2 E: E' h. x) ^, B, F) y- v  set-current-plot "Class Histogram"9 W1 E& c( h- J5 g% R( T
  set-plot-y-range 0 num-people9 r3 Y; v9 b9 |9 I* i/ L) t% p
end
8 Z( D4 L& E" f9 G9 N! y' C1 _7 y, ^$ E
to update-plots  I  m  Q, w* G/ V. S
  update-class-plot% Q; n( ~! j* L9 X1 p& i
  update-class-histogram3 h* X, {' c& |+ j
  update-lorenz-and-gini-plots
" Z2 v5 v$ b% oend" Y7 g& k3 k6 |! f! j; O1 _
- B+ E" Q" l7 ?  k, E5 O
to update-class-plot7 N, i( N2 C: u& a
  set-current-plot "Class Plot"" x1 X3 ?2 Y$ w# r4 l' v8 m5 f
  set-current-plot-pen "low"
" [7 c. B0 a! R) [7 m  plot count turtles with [color = red]
- X; ~2 J: k; n: ^, m' [) H  set-current-plot-pen "mid"( q. {( m5 N6 [! R% @4 A' ]
  plot count turtles with [color = yellow]% V) V" j2 z$ T  E% M1 u6 l
  set-current-plot-pen "up"* V* U2 `, R6 z. A) A
  plot count turtles with [color = green]
! R2 u: T# O- e$ J+ gend
  p4 p8 z% W8 J/ A
9 E% M$ x- S# N0 _) uto update-class-histogram
4 b8 ~: b, S1 w  set-current-plot "Class Histogram"
( d0 z2 b' G4 l2 L, u9 E: P& a  plot-pen-reset! b$ N- P( Z9 Q( {6 j5 K/ \) F" F
  set-plot-pen-color red
" d6 y  ^& I+ @8 P  plot count turtles with [color = red]
: C* d! H4 b& ?* T4 [  set-plot-pen-color yellow
9 m9 |" j" G- ^* S1 \  plot count turtles with [color = yellow]
5 Q3 x# k/ ]! v1 J  set-plot-pen-color green; T4 M. W: k1 P5 m  N
  plot count turtles with [color = green]) i, o+ w1 E2 M- S7 W0 S. t
end- B/ D$ a3 f1 r5 f2 H7 a
to update-lorenz-and-gini-plots
2 `# R8 l9 y3 B* U8 g  set-current-plot "Lorenz Curve"/ G. t4 x  g" u) k, w
  clear-plot2 y' k' s8 ]* |% u+ \. F3 F  y- A

2 K: t. X! g- }  set-current-plot-pen "equal"/ ^. |7 b# N1 X9 }9 a/ P
  plot 0) o# N. w  i) V) z5 I3 ?8 i
  plot 100
0 H1 \) ~& q7 {6 s
& W" f- q! E# _  set-current-plot-pen "lorenz"
, Q5 ?6 t4 {) `4 L9 v" r) _  set-plot-pen-interval 100 / num-people
; [8 G# g% i5 m2 J+ c  plot 06 X% y* {+ O3 }. {6 C- ~4 _% f# o- ?) D
, j( G9 G% H3 W% f& I6 c: m
  let sorted-wealths sort [wealth] of turtles2 ]) {3 M! V! n  ?2 }* W, w
  let total-wealth sum sorted-wealths
. |# |% X$ Y7 |  let wealth-sum-so-far 0
' j0 O9 F$ t1 C- X+ C5 ?: e" J  let index 0
) y* ~6 Q' o* ^; q  let gini-index-reserve 0) E  S3 s( ~- c5 E) O0 R) g
  c4 W: |3 {: S$ e$ w* b
  repeat num-people [/ r5 {( v* ~$ m0 ~1 J6 e
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
7 K& v: G7 H; W2 z& e. _    plot (wealth-sum-so-far / total-wealth) * 100) }8 O7 f# S4 O0 r
    set index (index + 1)  d2 x( J7 c. |
    set gini-index-reserve; E( D4 d$ U- u! w+ b
      gini-index-reserve +2 n) Q/ t# s# d* J0 i- i2 |  C: t! L
      (index / num-people) -# r0 I# a" x% Z/ M& y/ \+ Z- `- c
      (wealth-sum-so-far / total-wealth); [; T6 M7 L: P# t1 p9 M7 g  b* F
  ]: W/ x, H, A3 Z  Z+ i) s

; e6 R! q$ h5 U4 r7 @  set-current-plot "Gini-Index v. Time"9 Z/ ], [+ A5 c) z
  plot (gini-index-reserve / num-people) / area-of-equality-triangle8 B" F1 ]4 [- d
end
; H3 j" J. i4 J7 G4 M; \8 Cto-report area-of-equality-triangle
. |8 b# i. }4 D% x  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)# ~3 D% i7 ~" p3 n2 A1 _' u
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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