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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) |& V& R% [  O
globals! @$ @+ ^5 j4 o4 p. p9 L9 R- c* d
[
# d  Z8 l3 M  O7 c, p( ?  max-grain    + @- \9 z( ^9 t: Y, Z
+ G( Y* f0 x- `! G
]- f: M/ H6 r$ ^- O+ ?& I
" ~, s4 V0 `3 P. z& h7 E' H
patches-own
" L3 ]( Y2 ?2 E. l, r3 [( H[
1 c8 |- l- L: b, \1 I  grain-here      4 C8 @3 {# J: n; Q0 f5 Z) `
  max-grain-here  . N& u% m* ~' p7 q0 W4 T" j
]
: P1 G% \, ~% b1 M; a. a' q$ X$ z
7 {; x+ ]$ C) J7 i4 [turtles-own
% U8 K) Q' r. H[
1 n6 z9 L# F, Q% z- c  age              , E6 z; ?5 R$ b4 X
  wealth         
! g+ ?  g, m! c" `) X9 P  life-expectancy  ( D6 b$ X/ t4 C
  metabolism      
" d2 c/ U8 X7 d* Q  vision3 R" K5 |; T$ Z9 P2 l7 m
  inherited         7 [- Y/ F5 }5 @$ r9 q5 `
]3 a# S* j0 V. O
# j, D8 r5 E* B' B

" G4 _1 o+ I2 [8 Xto setup! O! D/ n" B3 m( ~# w
  ca3 Z# q" f% M: o7 S8 A
  set max-grain 50
" c* a5 [* T# _2 j9 ^' [  setup-patches6 |7 {, B3 G3 d5 W; c  [" Q
  setup-turtles
  H, Q6 j0 q( U/ T- F6 z4 N  setup-plots' A1 u4 j) g& E$ b
  update-plots
1 M* k! t4 k; b9 U- e9 H+ k. r( ~2 j4 zend
# o& }0 s6 p/ c! N: q- Zto setup-patches: `% A7 g( ?  E& b; d
  ask patches
9 K% @9 |) _' a: N6 V) W# u& r, h/ c    [ set max-grain-here 07 @* I6 E3 ?! {# b5 m
      if (random-float 100.0) <= percent-best-land
- a0 W5 o$ Z( x* ^4 K- v        [ set max-grain-here max-grain
. b6 Q$ l& B) i; a/ n. {) S. t          set grain-here max-grain-here ] ]6 `6 C+ X6 O* h: U  I/ I
  repeat 5
0 [: F. ?) n9 V& g; r6 [6 c    [ ask patches with [max-grain-here != 0]- A2 P5 I" w7 X% y  ]: D) t) P) @
        [ set grain-here max-grain-here ]  Y/ t% V; V( s* t8 Y( Q
      diffuse grain-here 0.5 ]; l$ f2 ^) x6 v$ ~4 m
  repeat 10
+ h9 ~, h: C7 ^    [ diffuse grain-here 0.5]         
9 }' N( s3 ?0 C$ g" Y  ask patches/ O& m4 C5 M  {$ z; M9 G
    [ set grain-here floor grain-here    , ~, L. V# n5 V6 P
      set max-grain-here grain-here      
% H. h  N; M# {      recolor-patch ]8 _2 b+ o% ]- a1 u
end) J+ f. P/ Y+ {+ m2 s/ r
to recolor-patch  
/ f7 B" N' l; M  set pcolor scale-color sky grain-here 0 max-grain
* g2 L2 B$ B) |: Pend
& {* X. A+ o) B! u1 Xto setup-turtles* H& i4 v0 n9 I" z: {
  set-default-shape turtles "person"* g& y' H9 R2 ~7 e# l3 {
  crt num-people
$ }3 z2 H8 e1 l3 Z. T. r. C    [ move-to one-of patches  
) u" u9 }$ I8 Y" q  Q/ ~- g      set size 1.5  
/ _1 e7 W1 m% A7 ^- z* b. Z      set-initial-turtle-vars-age
  Z; z8 `7 S0 M) x; c      set-initial-turtle-vars-wealth+ r4 d) j3 q! R4 d- b! Y& m* g; U# A
      set age random life-expectancy ]2 |% b/ m( }# ^7 k5 E! n( K' m
  recolor-turtles& N9 a: u6 d. E; i% f
end
* u; v- w5 b9 M' A# _1 Q& l+ k, `2 p4 m; t) f
to set-initial-turtle-vars-age$ w+ v  H& I0 a: Z3 q
let max-wealth max [wealth] of turtles8 e0 {" o; S9 l! J+ n% x
   
  x' K% E4 }+ _     ifelse (wealth <= max-wealth / 3)9 |7 w7 ?3 g2 T2 o
        [ set color red
# z! v) K, Y- c$ o1 V+ \9 T          set age 00 G, V! g7 C* S+ m2 ~* W
          face one-of neighbors4 , y! ~; f0 h8 w; o7 s
          set life-expectancy life-expectancy-min +( g5 q+ W2 ?+ _# a- ~8 Q3 Z
                        random life-expectancy-max
) Y) C, e! y1 w9 X4 o9 a! d          set metabolism random 1 + metabolism-low
# e5 r+ m: [+ R% T  ^. S          set wealth metabolism + random 30
7 D3 M6 C* u& u9 B4 n* T          set vision 1 + random max-vision7 c5 K+ P3 O/ k; X
             set wealth  wealth +  Wealth-inherited-low ]. L; Q3 v& N. \+ a, ], v/ n
        [ ifelse (wealth <= (max-wealth * 2 / 3))
0 ^- s, g: W! `8 q$ L! [            [ set color yellow
* ^2 j) V- y# W              set age 0
! {* m# _/ F! J/ R* g. ?) k5 N' X              face one-of neighbors4 7 k' ]" v2 z1 h0 |' O' Y+ V! h
              set life-expectancy life-expectancy-min +
6 q& p, O- A8 a0 ?" o) T                        random life-expectancy-max + 1) L2 ~2 ~. g' l# F
              set metabolism  1 + random metabolism-mid. E' m$ c; z3 [7 j
              set wealth metabolism + random 30+ N: {. p1 r( B: Z$ U* p
              set vision 3 + random max-vision
7 _( V+ Z0 v. H5 z( Y3 H                set wealth  wealth + Wealth-inherited-mid]
5 p% B+ n# L- J% e  s            [ set color green % Z: x: c3 [# _2 F) }& x4 T4 {
              set age 0( ~! t" s) h- n
              face one-of neighbors4
3 [4 z! L9 C: _9 g              set life-expectancy life-expectancy-min +! P  Y* _' R3 g/ E: U
                        random life-expectancy-max  + 2( }2 s) V/ R. t: x# R& `; x& N  l
              set metabolism 2 + random metabolism-up6 A# Z/ `9 W5 S! ?' U* N8 W
              set wealth metabolism + random 30
; J( c5 G. c/ X3 N( T% V              set vision 3 + random max-vision7 K: V8 H# V) M4 ]% ]) K4 s
              set wealth  wealth + Wealth-inherited-up ] ]
4 v6 H4 m% R0 H; H/ a& X 9 |% C1 L( z& u3 p
end/ V) Q  W: i1 g' A8 _0 c- C
to set-initial-turtle-vars-wealth6 D  U5 x2 k( Z. R  _' U: u
let max-wealth max [wealth] of turtles
. T( o, m5 v, _' ]          set age 0- v' B; Y4 B; y; F( L, t" ~3 r
          face one-of neighbors4
) z! U( ~& w, N' G/ P' Q          set life-expectancy life-expectancy-min ++ ~# K  W1 ^2 u. y0 _0 X
                        random life-expectancy-max 2 p, c0 q8 ]& J* |  v! f3 J6 O
          set metabolism 1 + random metabolism-up4 _2 t& s; I. t0 ]7 u
          set wealth metabolism + random 30' [! w. [; N- I$ q( y  a  w$ p7 B/ d
          set vision 1 + random max-vision
/ @  |) g$ ^$ @4 j  K- T8 @end
) W3 p& M% }: D9 O" @; |! w% @4 Oto redistribution
$ U+ `( E  ]# Z4 w' z- nlet max-wealth max [wealth] of turtles6 B9 `7 u1 t6 b4 @5 `
let min-wealth min [wealth] of turtles
' ?) X4 \0 j+ ]/ k, O# lif (wealth <= max-wealth / 3)
) |. L. `5 ~, u& n6 f( }7 O  t [set wealth  wealth + Low-income-protection ]
: p& e' h, l# D$ Dend: v7 E* F! f$ ~' P+ [
          0 e: _# F' j/ o) o# Z7 ?4 h6 \5 i
to recolor-turtles
; Q7 H% F- A" v& B, V3 V% l  let max-wealth max [wealth] of turtles
  k, _& r3 S" R0 }* ^7 e" a  ask turtles
2 a6 M5 ]) Y, V. X- [0 v8 u   [ ifelse (wealth <= max-wealth / 3)3 P6 P" P4 T) r" j
        [ set color red ]
  |+ _9 O3 |% M  [( L0 }9 p9 X( C        [ ifelse (wealth <= (max-wealth * 2 / 3))4 c! h$ h7 |6 b( ?/ h
            [ set color yellow ]
' h0 n+ G6 @. Y            [ set color green ] ] ]4 ?; z5 d: I0 s7 q  S
ask turtles [ifelse show-wealth?1 L/ d6 F6 N0 P4 T4 v7 d# z
    [ set label wealth ]
7 q6 T# D' L! b8 b. c    [ set label "" ]]0 _; r, {* I7 ?
end
. `7 ?: _) H7 b) w! ?+ G3 O% z; p' L% y* f2 C
to go: v5 C% B$ H: |& `! p' f7 m
  ask turtles
6 o: f+ N5 v6 ?* t! s. X& M  O$ y    [ turn-towards-grain ]  2 w) S$ n- I6 B" W9 [
  harvest& ]) u8 H5 C5 _7 C2 }! l
  ask turtles
) j- m# Z- w. X0 T4 G" l    [ move-eat-age-die ]5 x% [1 r7 p% H, u4 }- [4 G
  recolor-turtles* o0 C6 R) X$ d" e( |4 O8 T$ j
  if ticks mod grain-growth-interval = 0. ~0 u- `5 V: O3 ]1 k) A
    [ ask patches [ grow-grain ] ]* o! O; b& u+ \
   0 d: v$ O8 q6 C" l% j3 p' P- n
  if ticks mod 11 = 0) k1 ~0 D  k/ Z0 c- {4 L( S
  [ask turtles
; i0 ]1 R& j3 O0 U1 w, p  [ redistribution ]]
8 W5 c8 }0 P+ Q3 G) a  if ticks mod 5 = 03 L  r( F3 c- @0 s3 R0 M
   [ask turtles
: l6 Z3 s4 n1 H  [ visions ]]& R" c  i" U+ G+ Q$ w7 h" r
  tick5 q: E8 O' h  t4 \4 [+ C7 N4 Z
  update-plots
  M8 @+ X* \, X* W- g- fend
: f/ W/ [, t. P2 P& S: o$ kto visions! T6 J, e7 J; t7 q$ i4 K  e
set vision vision + 1 7 C( o4 d) _" T
end
, U, Y2 @. \/ M9 V
9 q7 U' r  j: ?! P$ o
8 E5 j+ y+ n4 T- t8 y: b8 [8 c
, s$ P; c) D: D' g2 U1 {to turn-towards-grain  ! `. m' Y  f) u' g# ]
  set heading 08 t8 d& m) Z6 e% l% S# d
  let best-direction 0
* {9 T0 r4 X# m% {  let best-amount grain-ahead
$ y" k( J3 _$ M; T  set heading 90
2 v8 f: e# k, J3 [# u4 S; q0 i  if (grain-ahead > best-amount)- y8 w+ C# x: C. K( D0 B3 a
    [ set best-direction 90
5 i, i' G1 T, X' \% d      set best-amount grain-ahead ]
& x* c7 a0 |, Z% C' I5 h  set heading 180  S% p3 l+ P% U
  if (grain-ahead > best-amount)0 s; e0 ~/ g( e$ O
    [ set best-direction 180
5 o$ E% n& Q6 D2 G' r. v# d9 r      set best-amount grain-ahead ]
/ f8 a# i2 E% N9 j  set heading 270! D1 _. f, g7 e
  if (grain-ahead > best-amount)
! x( r: q: b& k7 }    [ set best-direction 270
8 a2 f5 h' D8 i      set best-amount grain-ahead ]) {( a+ T* A0 T. m5 W: P: i
  set heading best-direction
7 H/ @& x4 T5 g4 p% K( K- xend
7 H$ m( I2 W4 G+ t/ X9 |- a% m. S6 K+ k: C6 {

5 {: Z9 H% s' i5 h, s2 F3 D# x5 Qto-report grain-ahead  
' ~& [0 @' Z* U0 w, k# l5 h  let total 03 Q$ ?; o, ^; r1 n' E" `
  let how-far 1, m) l: X6 t: l  c  C
  repeat vision
6 K9 b! g/ ?  {3 O/ g    [ set total total + [grain-here] of patch-ahead how-far
1 F+ P8 [' [+ ~. ?" ?9 X5 |      set how-far how-far + 1 ]3 t' J+ k) f- ^9 {/ W; I5 X& P
  report total
' C0 R) w) g# g  o! s8 |, N, P' Uend
* h0 D- V5 i( P2 X" s! ~; D; ]) y$ k8 z, z1 l. }
to grow-grain ; [) g3 N% _( Z: ^- m0 [1 h
  if (grain-here < max-grain-here)
' ^! l: }. R/ n7 P# M    [ set grain-here grain-here + num-grain-grown
4 Y6 h) z' y) e8 r! `  F& l" b/ N      if (grain-here > max-grain-here)
7 E* q/ F: g3 K. D" M1 H/ W- [        [ set grain-here max-grain-here ]6 z1 Q' c" G, W1 |; \
      recolor-patch ]
, C0 \9 p( ~4 r% M2 gend( R; n! T2 t- Y4 t# Y6 I4 D- A9 g
to harvest
1 a, F# `4 B& S9 m+ E/ {8 e( n, p  ask turtles+ h# {0 G( `9 d, |1 K* `4 _3 [
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
: P5 W4 P: |; I5 |# o  ask turtles
( M1 d( C. G* r( t3 F    [ set grain-here 0
1 g' R# c5 d4 ^/ J6 p3 ^8 R7 a* }      recolor-patch ]
& I# P: i9 Y% S  / w) z4 Y! S# I: ]% ^' x4 D
end2 G9 q6 e4 t  [6 x# E8 G* N, y0 {$ p
2 E* v5 X6 m, B7 g3 G" s: q7 {) i( p
to move-eat-age-die  
! R: M9 M. i3 v( G# b0 K# G& y  fd 1! `# X: ?2 W4 R! v. C! h) O" R( U
  set wealth (wealth - metabolism). r$ t- J5 V$ U
    set age (age + 1)
( F' g7 d& O& v' p7 a  if (age >= life-expectancy)- c6 A, N! G" Z# [
    [ set-initial-turtle-vars-age ]
" c- u- F! o! T) n6 w3 S  if (wealth < 0)* h5 r# z4 e9 Z9 m
    [ set-initial-turtle-vars-wealth ]
3 j0 e. G, F; o% p6 W. u    : x! J8 r/ l* l8 f0 _$ h: \
end
/ r0 d3 H' {9 E* O7 ~5 n
- \* d/ |' m8 K5 k7 G1 d7 Z7 h  X8 t
to setup-plots% Z: j+ Q7 n* H; _* K5 I: ]6 ^
  set-current-plot "Class Plot") ~0 V, f; m  g. ?
  set-plot-y-range 0 num-people5 T' ~9 @( o; A$ Q: H7 U( _9 m4 N% ^9 q
  set-current-plot "Class Histogram"
0 ?; w& d3 n* }# W  set-plot-y-range 0 num-people) G/ r+ c8 q  Q4 m7 b
end
0 F; V0 N# o& Y3 Y9 R. s0 Q+ i% t* H  y7 w; F' x7 X
to update-plots
& Y! i6 E7 J+ d* f  update-class-plot! ]: J+ u" X8 w8 h- U
  update-class-histogram
4 v9 A7 a1 X( b7 C7 W& |% c6 `  update-lorenz-and-gini-plots- d" j' k8 Q/ d3 ?# z
end
0 E# C5 Y3 i' {6 f" ]- F$ Q& Y. S: R( |+ m4 }0 |
to update-class-plot
! J8 A7 N5 L, j4 W! @  set-current-plot "Class Plot"8 t' G7 u: D7 u" p. u' l% |/ R% n. M
  set-current-plot-pen "low". ]4 S! E. H, d# `* M  U
  plot count turtles with [color = red]% L$ g; D  F0 i3 q! E6 k
  set-current-plot-pen "mid"
: A  H7 m1 C6 v, ^1 j  plot count turtles with [color = yellow]; f2 ^& p& _9 H2 I- Z* z" a
  set-current-plot-pen "up"
* P1 Z9 D. G# i% y7 M! v5 z  plot count turtles with [color = green]8 h. W* R1 S# l1 L
end6 [. R. F# P* [3 l

7 [: k8 @. r: N3 l, [to update-class-histogram
1 E, ?/ L2 |0 m  C/ U; B  set-current-plot "Class Histogram"
/ y# M- j0 ~" x2 I1 V0 o6 E  plot-pen-reset
/ ~5 G4 z) I5 g" [' `5 m  set-plot-pen-color red' ]5 F0 c0 ?" J+ Z+ t- _& a( n) {
  plot count turtles with [color = red]* i* y: C& U1 {' H0 v" o
  set-plot-pen-color yellow2 w& i* r# D0 @$ G
  plot count turtles with [color = yellow]
/ f, C- R& |7 Z: U0 e8 v  set-plot-pen-color green1 `) a9 b, d, l! \: i
  plot count turtles with [color = green]
7 L* k; _% b+ D' cend/ C- H) e: `$ I  `9 A0 ~# Y
to update-lorenz-and-gini-plots
. w# ?" R8 y9 l8 ?/ }' j: h/ a  set-current-plot "Lorenz Curve"
# ~% d1 J/ I. m" x; n7 }, A1 E  clear-plot
0 S0 o6 S' s% c3 O; ~! t  s* H" C; p. E9 Q
  set-current-plot-pen "equal"; I, |2 R6 x( `5 o  P
  plot 0
' I1 `3 E! [: h) u# M' c+ i7 I6 {  plot 100% B7 u8 J0 F- ]' |+ d: |& T5 ^2 y7 ]
( R0 j: }6 V$ J- f! J9 ^& \* P
  set-current-plot-pen "lorenz"
8 g$ D: X7 `4 ^$ M6 {. [: l/ B  set-plot-pen-interval 100 / num-people
& }. h* }4 [' g  plot 0
% O+ x. X8 h; z4 N' l- i5 c, P4 F  h+ W" c) m0 S2 }
  let sorted-wealths sort [wealth] of turtles
$ @1 w$ g& T, h+ |. p% `8 G  let total-wealth sum sorted-wealths
4 _) _3 n3 ^7 J" |2 n+ h  N  let wealth-sum-so-far 0
: M* S1 f4 N) M. G) D  let index 0& x" F2 x) W5 R: O$ U2 z
  let gini-index-reserve 0
4 B1 H$ ^! C* L9 z
( R4 U$ w6 U  M  F  ?  repeat num-people [1 w1 J8 k8 F& J9 Q$ U1 S; T
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
7 V3 v% t4 s; ~. J3 N) l5 u" K    plot (wealth-sum-so-far / total-wealth) * 100: ^" S1 ]1 `+ y/ _2 ~& y3 _: |0 S1 {
    set index (index + 1)& M; j% {& V# B) p
    set gini-index-reserve
3 _$ [" |' Z. X4 R/ q  `+ p& w# K      gini-index-reserve +
5 X7 Y: k" [4 n1 A! E2 h! w* J* y      (index / num-people) -. \" |  \" D/ t! n3 q, w" X# C  G
      (wealth-sum-so-far / total-wealth)6 a  i2 E. j! n
  ]
9 n/ H2 d' F% f6 ?; H; h4 y! R7 j
) ?$ Z9 c  O4 Q  set-current-plot "Gini-Index v. Time"5 z1 ]" q  G! V
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
6 Y2 V, q2 k& |8 x, s+ p- `+ nend5 y- k# R- H2 [: O% G
to-report area-of-equality-triangle9 D8 [! K0 l, u; i+ X
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)( t. k! M, R. X/ q2 e
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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