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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  I* n- e+ W# z2 H# {  w* x
globals' A& v5 ]3 d0 Y& H) D
[! k" i1 W8 `3 j& M5 [7 x. |+ e* D
  max-grain   
% k8 ^/ U+ o3 N+ `* ]9 C' d4 V  D: {' z8 H
]0 T7 [# L9 U1 d* G$ {$ J
& ?* I: _9 G4 ~3 x9 @
patches-own2 P( z0 U$ A8 `# O4 {, Z5 r7 X
[) n' y7 x% L8 E  y* e; b1 y
  grain-here      , g* }( p' Q5 L* L' t5 f2 f
  max-grain-here  2 k! h5 @5 ?: a- H; m' N
]$ }% _0 b6 ^$ p6 _5 S
7 T/ c9 T$ t0 y8 u- X
turtles-own
9 W' M6 ^: A) J) A. |" g9 [9 {[
4 A9 u% D; a$ Y4 u5 B# e3 v  age              : J0 \6 ~% N& q% g6 Y7 W4 K
  wealth         5 O+ A/ o) R" c0 J# f
  life-expectancy  
  \2 W4 U" R/ N, R4 P* W  metabolism      
( Q/ x. p( X) W0 l  vision
( I& F1 {/ h7 A3 K$ G1 `% Q  inherited         
! [) E# t' k) D$ e]
/ J0 L2 J$ {5 ?. N) }5 S  x
# z3 _/ K1 b+ ~4 x1 X
3 }* t7 U, M  H3 ?7 H( D: w! ^: J4 qto setup
: X  i4 R: q# J$ v$ ], O4 M5 y  ca4 t. h/ v' }9 s: ?# f0 @+ m; d" R1 B
  set max-grain 503 ~* u) }! g# |' J- y! F% j( t  {
  setup-patches
. W4 A  R; V6 l2 f  r& h! @  setup-turtles( _+ i6 h* t8 s6 |/ A: {4 R' I* |" \* ^
  setup-plots
. ]$ e0 o, M+ h0 b( n  update-plots
. ^# `8 B& E: Y& I4 `! U8 {: `end( b& r" g' o6 d2 D; M
to setup-patches
0 r: ]) i2 p# r8 y  ask patches
- V" l% J) x' v' {' U    [ set max-grain-here 0
8 \9 f: q) B6 E      if (random-float 100.0) <= percent-best-land' j% D! a; z; B; r4 X9 W: @
        [ set max-grain-here max-grain
1 I; F4 _8 m; q' K, z6 K5 K          set grain-here max-grain-here ] ]
1 n' V- h' V& p; I( D1 V  repeat 5/ p1 n4 E  M) F+ ~/ J+ ]$ m% W
    [ ask patches with [max-grain-here != 0]8 U0 g/ G+ d7 X; S' O+ h5 ~
        [ set grain-here max-grain-here ]" S0 F5 }9 g9 C' `
      diffuse grain-here 0.5 ]4 a4 e- g) K$ |- @0 z0 Q6 k: ]
  repeat 105 b% L6 ]5 Y1 D0 |. d
    [ diffuse grain-here 0.5]          . n$ x3 h- |% W6 C# P
  ask patches- i& I1 I: v# i, G! ~4 _1 Y: \
    [ set grain-here floor grain-here    " e6 x) l; O$ X6 C* f5 i+ N: s; E
      set max-grain-here grain-here      
% Y! s& u+ |+ i6 p  S( w# F$ q      recolor-patch ]
) L9 T/ D, h1 N/ l# G  X9 _4 wend
. S4 o# |6 e! K$ P$ R! l; kto recolor-patch  7 h8 Q) G2 z% p) k/ r
  set pcolor scale-color sky grain-here 0 max-grain
2 L, \8 @  @4 b  U. i$ b6 i5 ?end
: ~: [$ `  o. f+ I9 r- m2 x; j6 q1 O' g1 xto setup-turtles0 w% |1 e4 x7 P8 n* Q& C
  set-default-shape turtles "person"! l4 D  ~: B) T6 \
  crt num-people0 V! g3 C4 O3 F
    [ move-to one-of patches  ! |. p' k8 {# h2 _' r. Y
      set size 1.5  
' b3 k% Z9 S; q3 `      set-initial-turtle-vars-age
  A) x; _( M* `( v9 }$ r- ?      set-initial-turtle-vars-wealth
- p% y( O1 O& N      set age random life-expectancy ]4 d7 |7 h  u6 ]$ t
  recolor-turtles
  K* @: W, {& {- H- \end
# y7 V6 r. X  d5 r# t8 E
3 j# P' x0 S0 D8 z) ~6 k; v' sto set-initial-turtle-vars-age  M3 ?& |: `  x# U! g9 G4 X: L. y
let max-wealth max [wealth] of turtles3 _# O2 E% B9 M" ^
   
  e8 y! S4 Z) R. M& l2 C7 D  _     ifelse (wealth <= max-wealth / 3)
( v, t: {$ ]$ H/ I        [ set color red
: X# O6 ?% x8 s. f          set age 0, m/ E. \- q3 j# ^5 h* j  Y
          face one-of neighbors4 ! s1 p) x  ?3 f7 h' F
          set life-expectancy life-expectancy-min +- B3 d6 w! V9 u& P
                        random life-expectancy-max ( {( Y) |! H1 ?
          set metabolism random 1 + metabolism-low
) t/ `. E6 |8 n% P: D          set wealth metabolism + random 301 x: Y& {, Q! U% m% S
          set vision 1 + random max-vision
" K# k' I7 V2 B* e             set wealth  wealth +  Wealth-inherited-low ]
0 A1 }1 }- P+ m, \. N        [ ifelse (wealth <= (max-wealth * 2 / 3))
: ]% b2 }) Z$ }            [ set color yellow
% u* w) I, p5 P+ J4 V1 U              set age 0
) _' y  w0 R9 }8 w$ t              face one-of neighbors4
7 l  |2 i4 r2 o7 N% D              set life-expectancy life-expectancy-min +
8 E: K, q( w" M- Q+ K/ g" ^                        random life-expectancy-max + 1+ a4 \  w" A8 }* v/ Q* y
              set metabolism  1 + random metabolism-mid
$ d4 Z* W7 j0 y& L0 e              set wealth metabolism + random 30+ z# ~1 |5 K% R3 i4 j
              set vision 3 + random max-vision6 q6 c  A9 s# d5 b, p) `5 J3 h: }0 q
                set wealth  wealth + Wealth-inherited-mid]
4 c5 T/ m: |3 L9 v" b            [ set color green . P% m- w& Z/ H) p
              set age 0
4 p2 W4 N- h0 C, e! X/ u              face one-of neighbors4
* l' P; n' \3 c0 i. l6 q              set life-expectancy life-expectancy-min +( N' _- z5 T- @9 w7 W5 L2 t+ m+ g
                        random life-expectancy-max  + 2
* ?8 R& R3 }+ D* ]( {7 ]6 y5 R. |0 Z              set metabolism 2 + random metabolism-up
5 c# i6 z/ ]8 Q" r              set wealth metabolism + random 30
: {9 e# V3 d- g- p& E) a              set vision 3 + random max-vision
' Z- C8 |/ z) W* Y, s              set wealth  wealth + Wealth-inherited-up ] ]
+ E8 t; u/ E3 y$ s 0 L$ b  P3 j$ f( E% J
end5 c6 Z- o8 k/ Y( {* R9 d
to set-initial-turtle-vars-wealth
; u3 ]8 `" l9 H6 ]+ Q let max-wealth max [wealth] of turtles
! ^* v9 u7 A9 Q: q/ A( {0 O          set age 0+ }$ [7 x" P6 K# v/ X- U
          face one-of neighbors4
( y7 J) T5 X4 X0 `6 T9 y4 s9 U1 R          set life-expectancy life-expectancy-min +& B( m, p' N$ h& H1 e2 g1 h
                        random life-expectancy-max - ]0 {( b; x  r; a
          set metabolism 1 + random metabolism-up
7 m) J, l8 v7 k& _& ]" h' a          set wealth metabolism + random 30
: a+ V2 r% D; d- \          set vision 1 + random max-vision 6 i# y7 g7 J/ {, M3 g# H" \! }
end4 F  c, c+ ^' S6 Q
to redistribution
* Q2 S; ^( m- d' z' r) H5 N% A$ mlet max-wealth max [wealth] of turtles
4 M  f4 L/ L8 a) X. Elet min-wealth min [wealth] of turtles
! g: J6 y% D7 V1 Oif (wealth <= max-wealth / 3): ~. C0 X% g$ F; O: _3 Y8 {5 U9 V& \
[set wealth  wealth + Low-income-protection ]
$ {' }' D) u& u3 Q4 Y3 b5 Dend" l7 J! l3 @  ?, i5 \  x: t, t
          1 g, p" M/ }1 L6 Q5 C8 D+ A- W
to recolor-turtles7 p* N& \# w1 F3 Q. ?) h' \0 z
  let max-wealth max [wealth] of turtles
. q8 [% l% @! e  ask turtles  j6 s+ G9 ?/ f, k* V- o0 D9 G
   [ ifelse (wealth <= max-wealth / 3). Y1 b$ {* a+ X* u' W
        [ set color red ]
) t! [$ J: d+ `4 I! a0 [        [ ifelse (wealth <= (max-wealth * 2 / 3))
5 E- L) `8 E5 d8 q            [ set color yellow ]
5 S) f+ i* n! f            [ set color green ] ] ]! ^* R  U' S7 B& l0 j9 U, Z. N
ask turtles [ifelse show-wealth?1 d7 Z. `% Z- W" l' e5 ?3 d0 k
    [ set label wealth ]
# V  B- ~; {2 v2 h) k& i    [ set label "" ]]
4 D2 d1 T0 E; _4 pend" q, Q, U: p  _4 w( H, e3 G
& I7 h2 S/ R8 t: V
to go5 J3 R3 l9 a! b. p$ L
  ask turtles5 W$ O' m' n0 y# \! v) `
    [ turn-towards-grain ]  
1 R3 i* \( L: M" f) o/ ]4 x/ J: x  harvest9 e( Z: [! C8 q6 ]0 ^1 ^1 m1 m
  ask turtles
, w& ^2 o: {! G( O$ @# B    [ move-eat-age-die ]2 k/ R4 r* _" a  x+ t  r% k+ f, z
  recolor-turtles* R: [9 d6 `! D
  if ticks mod grain-growth-interval = 0
- @4 H9 c5 h7 r" V9 |- o) v    [ ask patches [ grow-grain ] ]
' f$ |. C' i- U( y. q7 G$ F   . r$ S; @% U! E; ]2 |& ?: C' E7 @! l+ t
  if ticks mod 11 = 0
" ?5 E7 j) ^( \% ]( R0 Q2 J  [ask turtles
: {1 x1 W$ g) F: L6 A% T  [ redistribution ]]
" y) [3 Z- P7 W- R4 r# {  if ticks mod 5 = 0
! x+ R5 {& Z; r& \2 G2 e4 s   [ask turtles8 ^* F/ _2 ^  j$ ?" ]% d+ i
  [ visions ]]1 K- R; w- C8 X9 c5 ?
  tick
9 w0 _0 _9 S% o' ^+ {& M: s  update-plots* {/ l+ U$ ]8 i( }* t' f
end+ E% Q; O4 a% ?! N
to visions2 {8 k; x: e9 y" r# w7 n: w5 J+ l
set vision vision + 1
2 }1 f! F% ?6 bend. `% N- u  |7 |' ]
; n4 C$ v+ V  l' p! |
% [& H  l# S$ c  b- K" p
$ {1 }7 D3 e8 U
to turn-towards-grain  4 }( l# H) L; c' M
  set heading 04 E% Z  a6 z, J$ d* h( z* A( h5 b
  let best-direction 0
* Y* S' R" |7 N6 }" ^* N  let best-amount grain-ahead
7 Q: |/ B7 L' V9 @/ S. l1 }* ~- p& R0 N  set heading 90( Y1 S; O8 [* Q
  if (grain-ahead > best-amount)) e# z6 r; p  C2 A+ I
    [ set best-direction 90* T/ k2 Y9 o1 j! ?4 N. n$ v* k
      set best-amount grain-ahead ]
( T3 f/ x% G0 D2 }  set heading 180
1 o: k; S' u0 Z6 I/ e: l  w  if (grain-ahead > best-amount)
! e1 P: p* A; b% W, s- Q5 V' D    [ set best-direction 180- m4 L; s  F+ Z9 b9 w3 q  B
      set best-amount grain-ahead ]
; ?8 B4 K% A; j' C& Q) e  set heading 270
% T( c" r0 {8 d4 c3 O  if (grain-ahead > best-amount)3 k4 z) B. T+ ~. r0 j5 N
    [ set best-direction 2702 m5 q  [! y& r% h( T
      set best-amount grain-ahead ]
/ Y$ L* [. D! d" d  set heading best-direction
9 X: z% v. [! W. lend5 Y$ b# \) f$ a# X8 r7 k( c/ ]
! |- _' x5 s1 f4 d3 S

. w) j; U- ?9 Dto-report grain-ahead  
! c- G1 O0 c" D1 p# J  let total 0; c1 W7 i7 r" w7 n8 g1 j! B
  let how-far 1
& ]  f/ n- @1 \- t7 Q9 [  ?9 D% \  repeat vision2 n. }: I( k$ q5 u
    [ set total total + [grain-here] of patch-ahead how-far6 U) N/ A: C2 O% E$ B) o
      set how-far how-far + 1 ]
2 u, F( ]8 J+ L6 i/ n( R5 h  report total
- x+ F  v; [# H7 q" Hend
, n$ ], |9 X3 v( C8 V; l8 j# a+ _1 s: R0 j2 l/ g+ ]7 U, B4 v9 o# M3 C" E
to grow-grain
; D6 b3 u* ]9 l) \5 x' v% o1 z) }  if (grain-here < max-grain-here)
# M% d" t. _- |( I( X    [ set grain-here grain-here + num-grain-grown/ x; X/ b) O7 t9 N
      if (grain-here > max-grain-here) # A) ?+ u9 h: L6 y( |5 y0 V. C
        [ set grain-here max-grain-here ]! Z7 |5 g- I7 v
      recolor-patch ]- H1 a' e/ U. M& l5 h; _
end1 ~* b% C; W+ F' D% m; [  n
to harvest
  d. k, k- c3 E% d4 U6 k; }$ ]  ask turtles
3 U$ Q* A0 F4 V. w  ~4 _/ a    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
0 h# M7 l' s. {9 W4 K# A  ask turtles
8 Q! y+ a) u, I# c, a  B& i! t    [ set grain-here 0# a' P* \! z# l' n; r$ z
      recolor-patch ]
# Y. g% W6 f4 V* a1 w; m9 m  
. L0 \3 a5 M; C7 E# }end
8 [' ^! U( _; n* v6 A: |
6 g! q3 K3 V2 b& I. }to move-eat-age-die  4 B4 x6 E; w( T# a5 ?
  fd 1& ^! s' T5 B- a7 I/ M2 J
  set wealth (wealth - metabolism)4 j8 V0 D3 }# Z4 }4 R9 R
    set age (age + 1)
* N$ P9 Q7 L0 s$ ?4 E1 [7 @1 l7 v  if (age >= life-expectancy)
9 [* e7 q0 g$ R$ P: P, B) e1 H* |    [ set-initial-turtle-vars-age ]" A* \" j9 E  w' k4 r
  if (wealth < 0)
& f- ]* B1 v) X- \    [ set-initial-turtle-vars-wealth ]( s' Z3 L9 Z& W2 u; [6 F" R- y. R2 o
   
- |/ N5 P  O' D+ Yend2 f, Y/ K, p+ N- m7 s& D% Y
) I5 w, h3 z! h3 f5 O
. Q3 b7 K- l5 B1 O+ H8 g4 d
to setup-plots
# q4 S# q8 G2 q" \2 J! x  set-current-plot "Class Plot"
8 R' V& c- \) _- n  ~  set-plot-y-range 0 num-people& Z1 ~  }: M% U/ E$ z! l2 Q6 a
  set-current-plot "Class Histogram"
2 [. B" z# x& l& c  set-plot-y-range 0 num-people+ W- A/ M( _- I) |
end6 b& _$ b3 W  S/ k1 ]
! O- C* Z/ f! c6 q0 K! g6 }% a
to update-plots
7 p2 y6 S2 W  @, B7 O0 u  update-class-plot
7 i5 ?, Y+ A* O+ [  update-class-histogram$ z0 p, R: o  Y, y" ?
  update-lorenz-and-gini-plots
& M( O$ O, X: _) ~+ K2 rend
( F0 T! a$ \0 P9 P* W4 V# d: q  W# m$ G
to update-class-plot
3 ]0 R' G  s8 `, W  set-current-plot "Class Plot"
& b7 s0 D- a* f: H  E5 N  set-current-plot-pen "low"
+ j. L- ~) a3 r  plot count turtles with [color = red]8 Q# e" e# y0 t; F/ U* x
  set-current-plot-pen "mid"2 j  U% ^& c* |$ O: e. l7 g
  plot count turtles with [color = yellow]0 P9 }; M- @6 |9 t
  set-current-plot-pen "up"
+ R1 O" ~' L: P  plot count turtles with [color = green]. z% f4 w! \3 e  p* M) M9 Q
end* G5 C9 C( o$ e$ ~9 e* l+ ^, t6 u
- G1 ^5 z1 G* ]4 `$ c2 c6 G
to update-class-histogram
2 K' \/ u' p7 K; w8 `  set-current-plot "Class Histogram"3 W7 ?3 `" x- \1 T& @0 _3 k
  plot-pen-reset/ J9 G. v8 s" R; Q
  set-plot-pen-color red
) z. ~/ s; ~6 M6 ^7 H' @( g  plot count turtles with [color = red]+ z" K* B, s% C  b1 I; Z, ]
  set-plot-pen-color yellow" d& s4 d6 |  F' A! D  ^  }1 S5 L- B
  plot count turtles with [color = yellow]
# L8 o0 Q& v% ^) ~' W3 V  set-plot-pen-color green( D# ~/ |" E% c7 V4 T4 H  R
  plot count turtles with [color = green]( V2 ?& Q- k3 t7 h0 {& X
end
; U, ~' [# {, a* h; s; @* Pto update-lorenz-and-gini-plots/ h& s4 {# A1 @; C
  set-current-plot "Lorenz Curve"  T1 [' J5 c; b$ t, V% Z
  clear-plot
/ n/ H! e% b8 X7 x/ v1 @; l' Q' }. [; m8 d  e; Y  l' x% I
  set-current-plot-pen "equal"
& V& ]* R- b3 Q  N) J  plot 0
8 Z+ P# K& c4 _9 I7 v2 R5 |. K8 U  plot 100; u$ {+ B6 m8 O2 }
+ e& N! v$ L" i# G3 K
  set-current-plot-pen "lorenz"
# s% u7 _! b( T5 p  set-plot-pen-interval 100 / num-people
; W. d& T% W" D! M$ O. n, M  plot 0& F" ]+ J* h+ r0 j. o5 n6 r, K
' w# X  u1 h: E! h) [# ?
  let sorted-wealths sort [wealth] of turtles
4 n6 q$ ]! K$ E7 z1 r9 c  let total-wealth sum sorted-wealths( j& U- z$ |2 t* S% I: Y$ A
  let wealth-sum-so-far 0  W6 y  t& E+ b6 w
  let index 0. t  c, P; S* J- Y" M4 x
  let gini-index-reserve 0* \: q! V3 G8 H; N+ w( P

* ]) ^8 I7 a; p0 G6 U5 l* j  repeat num-people [
  H( j) }# V+ f! _' f) b    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
- {2 Q7 }; l0 A7 A2 g% x) W6 }- z    plot (wealth-sum-so-far / total-wealth) * 100
( B& [' a2 B; J  P/ G& B) C* ]    set index (index + 1)0 z% R% C# z( R+ }, U, w9 i. L
    set gini-index-reserve9 L5 K* d1 i" ]) d; p
      gini-index-reserve +6 ]. M2 {% b- c5 T+ ^
      (index / num-people) -8 L' f6 y2 ?8 ]! I8 A
      (wealth-sum-so-far / total-wealth)
$ b: ~; n! f, x9 P# P5 {  ]
+ g8 [8 k. Q& n6 {! P- f* a2 W
) I4 E7 {) _/ n+ c5 \: F" e* t8 X  set-current-plot "Gini-Index v. Time"" j- X; ~3 D6 h. U* Y! T
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
  y" B4 a: k* c7 O; yend
% g) C6 @6 u! E( ?: Uto-report area-of-equality-triangle
) `) p/ r, f+ }  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
* `- Z" s! L+ Yend
 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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