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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3 j  `+ v' T% l  g$ o# F3 |
globals  \7 s! o2 k, G; F' C' P( M2 D
[9 j9 Y6 ~1 G) k- p; h) g! E
  max-grain    5 l# \' ^8 e5 `

4 n3 o" R8 A) I]& M# i6 J! F6 {9 j5 ~
! d( ?. Y( O% l& _( g* S: _
patches-own
; W0 i- r. R# z2 _[
4 j9 E- m; i! a5 z  grain-here      / o3 O& K( U- O$ X
  max-grain-here  & m; m2 j! |+ K! s# Q) ^# T
]. R0 F2 B, a  h3 z& Q

2 I; M, c. P, A( K1 N( yturtles-own
4 y$ z# f' T" G7 a7 C[
  z" A6 {- J# O/ r3 n  age              ; J4 B0 g( k5 ^% d% n! v
  wealth         ( G# b' [/ h" M. ]8 [
  life-expectancy  0 h! G+ ?1 B" R2 L' ^8 n% b. a
  metabolism       # Q# a( X5 @7 S) K
  vision4 D8 K7 n( O1 u, B' L) W
  inherited         
* Y+ M$ b# a! R]
, k: |, y3 B5 Q4 G/ M+ v- L! J" D- K8 G  _7 N
- F: @' }& I) _0 X( D$ ?1 v3 k
to setup, }2 @) _1 J4 ?1 F9 }
  ca
+ o& o$ ^) S5 N* h. v# ~* O% U  set max-grain 509 i* l1 W% ?& |( p' c
  setup-patches
/ Z6 \* }: r3 l% x" r) K* e  setup-turtles
9 i. E8 V) d4 p. Q- o6 {2 p0 d  setup-plots# X* N5 x8 a/ V, e1 \2 J: i
  update-plots
' [5 C. T& B5 n9 ?; G) \0 z1 z2 kend( W: ?% V8 e7 Q8 s  p" Y
to setup-patches: M, U6 f/ A+ O8 `4 I
  ask patches1 I1 \% n* |) h$ o* F$ A; ]7 y
    [ set max-grain-here 0/ ?* D, g  K) w+ i0 Q
      if (random-float 100.0) <= percent-best-land4 W# g5 a' {2 e$ U2 a
        [ set max-grain-here max-grain+ {; l, Q$ L5 U6 Y
          set grain-here max-grain-here ] ]
  J+ J, N8 o& r$ c: O. s  repeat 5
+ b* p: _8 D) r  I* l    [ ask patches with [max-grain-here != 0]7 @: F0 T( K) E
        [ set grain-here max-grain-here ]
8 {/ o' h7 M; x- n- \! ?! V      diffuse grain-here 0.5 ]  D; y3 D) K5 r: e% B8 R
  repeat 10+ B0 \1 \& y9 X: i( R# T
    [ diffuse grain-here 0.5]         
$ P9 z: I: U2 T, z( g& M/ D  ask patches
3 t8 n. B$ s& ~) o; Y    [ set grain-here floor grain-here    * f* t/ ^! f7 J! h9 R( h
      set max-grain-here grain-here      
2 p: n# O, H, K4 Q      recolor-patch ]3 M" u8 N2 Z# x, f
end! P% L; G# N; H
to recolor-patch  
% N' _$ b/ S& L, T$ |  set pcolor scale-color sky grain-here 0 max-grain9 ]! Z+ _1 C/ F  p0 D$ `
end
2 F$ H7 G7 u2 z) ]: rto setup-turtles" Q9 ~6 }. a# Z" f: I2 t# g
  set-default-shape turtles "person"
9 ]* f) D/ c8 g! n. c7 C8 G; ~, g  crt num-people
9 k3 y/ l& L: j2 @    [ move-to one-of patches  
$ X6 h( b5 ?5 ^" g* N" |- o( U      set size 1.5  6 m  z' q' e  I( y! ^, A( t
      set-initial-turtle-vars-age
, x2 ]! K" A  j6 l: ^: |      set-initial-turtle-vars-wealth9 u9 H- T# i! S* v; n7 a7 Y$ o
      set age random life-expectancy ]! g+ o  E4 q; f  {& Y3 L
  recolor-turtles, ^) b7 a. x1 x7 W  M
end
+ _/ L& _- ~3 O( p" C! }2 E5 B5 f; W' N6 d* x
to set-initial-turtle-vars-age0 L: u$ f' s4 a& G2 j! }3 H
let max-wealth max [wealth] of turtles
8 ~0 O: H5 \: y, \+ L   
' {' P; l  Z6 y% y$ m& \     ifelse (wealth <= max-wealth / 3)+ N* Y3 S; j* M1 h) H
        [ set color red
- ?) t5 }' a1 W, ?, P          set age 0
: e1 D6 W% c. R  k/ [  \$ O          face one-of neighbors4
& W8 r' p% S) l9 _0 y          set life-expectancy life-expectancy-min +$ [8 ]: H9 B- b  q, y' b6 o5 L5 X
                        random life-expectancy-max 1 b+ o& {5 {) e7 f0 \0 G3 A
          set metabolism random 1 + metabolism-low8 y2 _) ^2 b! j% h1 {# e: b
          set wealth metabolism + random 30
; C- n* y/ T* H$ y- r! A          set vision 1 + random max-vision! }7 W1 [' Z) M, _7 K! G
             set wealth  wealth +  Wealth-inherited-low ]
) v! G8 R/ N, K( J! s' s        [ ifelse (wealth <= (max-wealth * 2 / 3))
& G3 w/ ]7 @: f- R! l            [ set color yellow
0 d2 d  Y( V. ^9 \# p              set age 02 t; ~% E$ d* T4 f# P
              face one-of neighbors4 - N9 {+ G, M. K4 K- Q2 y, j
              set life-expectancy life-expectancy-min +
: _. y+ k3 e/ v( ?2 _# u                        random life-expectancy-max + 12 \0 {: R* _9 Q
              set metabolism  1 + random metabolism-mid
$ \' V5 X$ g: ^, f* ^              set wealth metabolism + random 300 h8 B, t0 D0 `  e7 s0 b
              set vision 3 + random max-vision
  M+ z2 Z4 W: G1 A& E                set wealth  wealth + Wealth-inherited-mid]
. A- H/ Y% X& ]' \9 h+ k            [ set color green
& n% V# e$ E5 s( e6 B. }              set age 00 Y4 |2 E- L0 G/ N- x
              face one-of neighbors4
) i$ F. U- ^4 w: a              set life-expectancy life-expectancy-min +2 C- @) [: ~! C& W4 B
                        random life-expectancy-max  + 2% G5 B9 _3 p& ?! X" L: J6 V
              set metabolism 2 + random metabolism-up
; [7 Q& ~9 p2 @8 Z6 O1 d              set wealth metabolism + random 30( Z& Q, \. S, c3 T7 E
              set vision 3 + random max-vision; B5 O; W- T* ]3 S& }
              set wealth  wealth + Wealth-inherited-up ] ]
$ p/ B; X4 |: d- @: J9 u2 u * h: g& V+ l4 n2 C: o5 }4 _
end3 q% ^, u/ S; ?- r( a& g# O" R' e
to set-initial-turtle-vars-wealth2 t2 f3 j9 ]4 t* m! U1 U. F0 [
let max-wealth max [wealth] of turtles+ `: [; \& [. w
          set age 05 Q, x" P9 \+ F9 W0 f
          face one-of neighbors4 : `1 Z6 d4 F9 q" e& S2 i
          set life-expectancy life-expectancy-min +
' w6 I/ N5 {) L* \5 i$ x                        random life-expectancy-max
; n7 P9 b# ~7 t+ x4 ^          set metabolism 1 + random metabolism-up0 n6 _' ]/ I: S. O/ h9 K' ~. v
          set wealth metabolism + random 30. y. X2 w( [4 ^3 Y
          set vision 1 + random max-vision
; K! e0 z  R4 K6 L4 F+ d; C; tend
& a/ q+ }; x5 q. q( Kto redistribution
$ h, X" ?& S% A  [( `) C1 a: B4 glet max-wealth max [wealth] of turtles
$ n9 Z/ g% Z6 J: ?4 ^let min-wealth min [wealth] of turtles
) C0 J8 [" E4 {4 K& y( C1 y1 p0 bif (wealth <= max-wealth / 3)
5 b$ q$ f% y( W7 R3 u [set wealth  wealth + Low-income-protection ]
! p; t% {! U5 X/ Xend* E3 j4 D+ D, W8 v
         
/ }, x7 r9 I) }9 {to recolor-turtles0 ]4 B0 m6 m7 K* ?0 g
  let max-wealth max [wealth] of turtles, n* Q5 `; c# Y( f3 ~
  ask turtles4 H& y5 k# F5 F$ @2 e
   [ ifelse (wealth <= max-wealth / 3)
9 i* |: ]3 U5 q: `; E: g( t        [ set color red ]- W$ K/ H9 n: A/ P. k5 h* }3 d
        [ ifelse (wealth <= (max-wealth * 2 / 3))+ I/ X* z6 v9 b1 D2 `. n
            [ set color yellow ]& H8 _5 \% B* o" W
            [ set color green ] ] ]- e; h) }2 `6 W7 s
ask turtles [ifelse show-wealth?
! E% l4 D2 f% K: l4 \0 X" z    [ set label wealth ]
/ |' Q# E* x5 c+ K( @2 U. q    [ set label "" ]]
0 T6 X0 Y$ @7 T. z2 m+ Aend
7 k: |: j! c3 L+ h4 C* J# B  w: l0 e6 P
to go
5 F& e7 V( \$ S" F3 k* \4 C7 k  ask turtles
* z, N( l1 f9 z) R    [ turn-towards-grain ]  
' L4 C: X# M. T6 b* O  harvest
2 p' T9 l" k* Z: q6 j  ask turtles
" W* _9 k% A5 H2 ~% ^  }    [ move-eat-age-die ]
* T2 i" I2 }; |" K* ^8 j  recolor-turtles
7 T/ G" g6 o1 E$ C8 H  if ticks mod grain-growth-interval = 0
4 s- w2 Z) s: h    [ ask patches [ grow-grain ] ]
# \3 _% R( C1 }2 C9 O   * R6 }- ]# q" Z/ w, v
  if ticks mod 11 = 0
; q# ^7 Q) ^% q- D7 J  [ask turtles
% h, Q% Y9 p, c; W# j: D2 {  [ redistribution ]]
% M" Y. |: h9 V' J/ V  if ticks mod 5 = 06 y) ?% ~) m$ r5 c9 T9 C. q3 t
   [ask turtles& O3 B& W$ N" M8 S$ y
  [ visions ]]
3 u& z5 ^& b- c; B" G  tick
1 p: t- g9 j) D% A  update-plots
- _0 U8 z2 K" Eend% M) _+ O# G0 m; ^! g! F
to visions$ b  n. a6 ^& n5 u3 M7 {
set vision vision + 1
5 v' B* K# l4 O6 F7 tend! I3 H: x7 C3 D5 u
: V( R$ ]5 D  j' v
& T; O4 F1 z# O% w' b

6 P2 x+ m7 A0 _to turn-towards-grain  / V6 K5 p$ `3 z! F) J: G) N
  set heading 0
8 \. g7 t4 P$ I" {: t  let best-direction 0
* h- K9 I7 ?) H. Q' Y6 @  let best-amount grain-ahead
: j) @# F0 H5 n- `2 P  set heading 90
$ @) B) m+ u* Y) F5 a7 z! l  if (grain-ahead > best-amount)
/ U% \6 I2 P2 R7 _7 c    [ set best-direction 90
( f- t2 m7 U: g7 f5 w  J8 Y      set best-amount grain-ahead ]
& k) S3 a% ?5 u- l% m  set heading 180
, \- q: p) F0 x  z1 [* J+ I  if (grain-ahead > best-amount)
4 c, d4 ~0 Q/ D6 Q3 v    [ set best-direction 180
3 D6 m' m- T8 Y* P$ f7 t      set best-amount grain-ahead ]5 T' l4 V# H! o/ u% ]5 A
  set heading 270
8 I$ j( B8 f  Q# x& k+ p' a  if (grain-ahead > best-amount)$ D2 I* |3 |7 l4 C* U, G4 a1 j
    [ set best-direction 2700 Q/ Y- Z/ X8 g& y* [( z. X
      set best-amount grain-ahead ]
: x& b9 I" Y4 `  U- g  set heading best-direction
( |6 f5 M8 C" K% k, [end
( i5 z! m3 [* O" e" v: u& Y& a: M& \/ ]8 m( _

- Q. ]) Z) z. o( wto-report grain-ahead  ( ?9 K: b1 f5 z. F2 ]* v
  let total 0/ d- V7 p8 {( A; j  b3 P0 e
  let how-far 1
  j% X! ^8 P  a, V  repeat vision/ G$ |) v3 |' s% i
    [ set total total + [grain-here] of patch-ahead how-far* c) L8 B) }3 U. a
      set how-far how-far + 1 ]+ q( X: m" N6 {& X' t* g6 L
  report total* E! ?' B* D( N$ u4 f
end, I$ a2 B  f  E4 A0 ]! W

5 }% o  N' Z( B( ~+ u5 E; [  ?to grow-grain
$ ?6 C3 O: b+ q$ @6 k& e; b1 O  if (grain-here < max-grain-here)
* X2 ^: x* j: N    [ set grain-here grain-here + num-grain-grown! ]  [3 v) y) z
      if (grain-here > max-grain-here)
$ s" b5 U; [- n; c: Q        [ set grain-here max-grain-here ]. ^( l6 t; ^) k+ _
      recolor-patch ]; V+ G" s" C8 x; x7 v
end
5 u" T6 G+ L+ ~& z7 dto harvest
# _0 g/ [4 m/ X  ask turtles% c6 F; @  z* M0 G
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
) O* H$ a; ?2 j3 k5 ?2 o/ U6 W  ask turtles
; n  H0 c! Q0 F, `    [ set grain-here 0  O7 v- q: y2 ]& D* }6 Z! e
      recolor-patch ]2 e: e. D, Z5 p6 |
  9 V3 u2 T0 \% x; h! K
end' t7 E1 C4 H5 U# O$ V2 r
0 Z9 j- z' H# A) q9 Z; Q3 k
to move-eat-age-die  
. ~; A# L2 u4 l5 S  C  fd 1
3 P& w% _) s: f; I  set wealth (wealth - metabolism), K8 L- ^( c; \7 N% D5 [
    set age (age + 1)9 c1 d2 k' `2 N' t. ~6 t
  if (age >= life-expectancy)
/ V' v  x# A. v6 d    [ set-initial-turtle-vars-age ]
. h( C" Q6 W. w, i, e" @  if (wealth < 0)
& k9 a5 ?& ~) F! E4 @9 U    [ set-initial-turtle-vars-wealth ]3 i- }+ @& E2 L( f6 ^" A9 }4 U
    : A/ _9 H* J# R3 _+ y
end
& i% k! }/ w( @0 A5 ?4 C; ~  h
# L) K# n* D( H8 Q: P
! l4 [& y8 o. i# T* _" [% Kto setup-plots0 g& U0 E( G9 s
  set-current-plot "Class Plot"
. J& A% O* k7 j8 n! \- @7 i  set-plot-y-range 0 num-people
. L; u; n6 u" y+ i7 r; d# b* A! N  set-current-plot "Class Histogram"
/ h  y# t4 |5 k+ V2 t% i* J1 I# j  set-plot-y-range 0 num-people
' B1 Q& p, X8 G4 j+ y1 X) V% rend
/ h* I$ k: C$ h4 x& X
6 ~; u/ Y5 m1 }  Jto update-plots
9 D! ]% j3 F0 {) U8 z  update-class-plot" }; L0 l" O7 d' H# G/ P' o
  update-class-histogram
3 J. U2 E' r7 V3 C& m* l. ~  update-lorenz-and-gini-plots
  z$ _3 p2 r8 ^* {) c+ Dend1 ]* Y* ]( l0 {, r3 h
0 b2 V5 \$ m1 {$ Y. H8 D
to update-class-plot
; c! v4 Y1 {) M, X  set-current-plot "Class Plot"
0 @1 S" C) |5 d* ^- @4 D% \- `  set-current-plot-pen "low"7 g8 Y) j" x7 \7 t2 E7 C; L- v
  plot count turtles with [color = red]7 }& ?, F/ @7 e" [0 E3 H- R- B  h1 F: z
  set-current-plot-pen "mid"
; y1 a7 v$ D$ r9 j  plot count turtles with [color = yellow], _1 @& @5 r8 W3 M/ j
  set-current-plot-pen "up"0 G# G, V, J6 }" W- |4 ~
  plot count turtles with [color = green]
, E' Y2 M& ]0 a  J6 D( `end
1 ^! |3 j' p& p% Y! c
4 E9 ?) B: n- v; h9 Zto update-class-histogram; t) ?, p: g" O- t4 I
  set-current-plot "Class Histogram"; t" l( v( m2 D( e0 E9 e9 d6 X
  plot-pen-reset, h% ]( ~2 \  F. Y" ^/ g0 {8 C
  set-plot-pen-color red
1 g: Q& n; E9 E0 U2 S4 ]6 p! t  plot count turtles with [color = red]
2 Q1 g6 e" L- L4 V# O5 M  set-plot-pen-color yellow
" Y1 k4 ]: z' Q) g6 ~+ v6 j  plot count turtles with [color = yellow]! m1 ^) a6 V* z$ K5 G
  set-plot-pen-color green
; k) {) X8 b6 |% J  plot count turtles with [color = green]
$ S3 M7 r7 N' n" z% W' qend
7 [8 ?3 Y  R# u% r3 _& @5 kto update-lorenz-and-gini-plots# O6 [8 W1 z& A# Z
  set-current-plot "Lorenz Curve"+ s+ U7 [+ d8 U% T5 l$ v+ p
  clear-plot
  B" H1 D! [: N7 Z8 m8 N' r0 d, p" b4 {2 m. F: F- Y5 y" P
  set-current-plot-pen "equal") Y' `% Q5 x9 {& _' Z
  plot 0
0 j0 s) H; \0 y* F4 t  plot 100" F- i1 H0 C8 \  J6 D! [8 V% q
1 |3 l' W0 b2 V" Z( ~0 w
  set-current-plot-pen "lorenz"
% `4 Q+ p+ _3 H5 L$ D2 Y# B  set-plot-pen-interval 100 / num-people
; N6 }  ~( j7 S9 o8 ?  plot 0; _* D+ K( |* `3 |: i: u

$ N" w/ }) c' c  let sorted-wealths sort [wealth] of turtles
% E: t/ ?+ T) @# ~( Q7 P5 g  let total-wealth sum sorted-wealths
) \  ]9 b: p# ~; v: D6 g  let wealth-sum-so-far 0
7 }  v' a$ Q- p: p  let index 0
% o+ U" }3 l+ J5 q  let gini-index-reserve 0. `( G6 |  U9 q. }1 a# b& O; O

. h1 y% L* \0 ^, @2 \. j: c  repeat num-people [
% q: ~# N1 K" f3 \4 A/ e2 s    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
- I* h" Y8 y1 _2 Q- g6 L    plot (wealth-sum-so-far / total-wealth) * 100; r/ U+ e" d# Y" c/ D- o
    set index (index + 1)
. ?4 W4 P5 z8 B0 E8 a8 S, A    set gini-index-reserve; |0 P  e- n) v$ [0 W6 l1 ^
      gini-index-reserve +
5 V* P! k/ N" g% i  q      (index / num-people) -% o, n* \; C1 d# A1 {" X7 r
      (wealth-sum-so-far / total-wealth)
; \& {) `1 u8 W; v; M; n  ]- y; M( Q  V  e" q6 M2 t" L
) x0 F8 m  [& [8 p6 W
  set-current-plot "Gini-Index v. Time"9 @  s$ W% `% g
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
( K% |9 J2 M" Fend
$ H; I; I1 E3 C9 \7 fto-report area-of-equality-triangle5 f8 g5 ^' S7 d+ P
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
# K9 ^+ x& y1 p* tend
 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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