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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: N- B% @0 K! ~4 J0 k: I
globals
/ R) V0 C6 {, w3 i" \[* ~( @: B+ r$ x: F0 d1 h6 Y" ~
  max-grain   
: c% m# Y+ p& X' j5 R5 G
9 a2 M/ v+ T4 G, P2 e9 U' |]
( [$ y6 M6 {: F. _
$ S: m# d- K7 |5 |4 H; M; {& ipatches-own
% w$ K, r, ^6 O8 I/ A4 R[
1 \1 f, o# N! O" R5 q, z  grain-here      
; Z+ |; z2 x3 u4 ~9 |2 y  max-grain-here  , S. f) |( r5 e3 D
]
5 J" S; Y) r' D
% e7 p( W% r  ?turtles-own8 Z+ ?5 v, t  o) ^" f  O
[
$ ~! f( L/ W% b% b/ ~) t$ v) ]  age              
, O- a2 H6 |2 O: y6 `& T1 }% r  wealth         
. v, F  C5 r  D" j% W  life-expectancy  / C# z1 ^7 ]' g( _7 c7 e  Z
  metabolism       $ g0 I) @3 I+ m) V8 d* _& j6 T- ^. f
  vision8 O! V3 ?' N( v* L4 z' b" w
  inherited         
& M* A- Z4 q# m) C]4 N7 V7 Z: Z; C' k
  A1 \: O: x7 ?2 s
2 v3 I/ ^, l. y9 R2 X
to setup
  j  a1 Z) T7 D4 v2 e: S; |4 O5 j  ca& ]4 W' b: Y) a/ B8 q8 x
  set max-grain 50/ e& g/ s1 t6 ^% d+ k
  setup-patches
) K/ u6 f# Z8 |9 L! a4 K  setup-turtles8 U7 \( c9 \, b3 F* O
  setup-plots/ E4 m1 H7 R) h) D
  update-plots
* S0 e' E+ L2 g) r' \9 x# z) Iend6 q& n" s/ ]8 l, [5 o7 m$ o+ q
to setup-patches4 K4 H. ?5 l/ Z. U/ ], q8 V
  ask patches
9 x! O$ n/ D' |8 p6 v    [ set max-grain-here 05 ^( O4 v+ |1 @% A4 u
      if (random-float 100.0) <= percent-best-land) \- G( W7 A9 a6 V: V
        [ set max-grain-here max-grain
3 B# |8 u1 P; I: I          set grain-here max-grain-here ] ]
& ~6 y% D# x( d9 P2 _* Z$ y  repeat 53 e6 Q! {/ _: {# P3 |+ F
    [ ask patches with [max-grain-here != 0]
. I$ `5 `+ N! Y" h        [ set grain-here max-grain-here ]
( ~4 ^5 R3 m9 E9 X      diffuse grain-here 0.5 ]
" c1 \; I7 J( z: r; K. T  [; z; k8 J  repeat 10
; V, A4 e9 G1 N) k( Q    [ diffuse grain-here 0.5]         
5 J: v* Q# R8 |! w, w' G  ask patches
' V) o+ ?! H# |+ [5 K( D    [ set grain-here floor grain-here   
+ a/ _2 C! N# U1 U9 Q$ m      set max-grain-here grain-here      
+ r& C# L- }# r, B' e      recolor-patch ]: Q; G1 R( @, a' v
end- |9 v5 N, G1 w5 u( e  e
to recolor-patch  ; q* R; d! J1 u' R( ]
  set pcolor scale-color sky grain-here 0 max-grain
( A, V9 v$ y( L* C  m/ Eend
* \8 G! [( o6 X( X$ `; u% Uto setup-turtles% ~4 b- x% E4 w/ q& c
  set-default-shape turtles "person"
2 M8 W. }( c  o( k$ q8 c. m+ h  crt num-people
  m5 T; S9 X1 f0 A" X) \3 V3 t/ e- R    [ move-to one-of patches  6 Q8 R( v; G9 t: `
      set size 1.5    T9 I- e; Z6 v% g! n' L
      set-initial-turtle-vars-age7 T, n0 u% m5 N; D  s- T
      set-initial-turtle-vars-wealth
% ?2 K  N% N, z: U- J3 s* i      set age random life-expectancy ]
. O9 ?; e+ ~' ~$ [5 Y7 _* k  recolor-turtles9 `# ^8 J/ F; V. o3 D, z
end& x6 J& G: W2 a# }
7 g6 n2 z8 ?  t$ U
to set-initial-turtle-vars-age
3 t. a& w* k' V let max-wealth max [wealth] of turtles
" I9 ]. a8 ?1 M3 l! t& e3 L1 q    % k0 f7 B8 ^& v- D3 `' i
     ifelse (wealth <= max-wealth / 3)7 Z. W1 R4 E- y. G3 o: z: B
        [ set color red
  \+ Z  [1 y, R4 L6 }: I          set age 0' _% z+ m, H. @, R4 |
          face one-of neighbors4 . @6 H. P2 f+ B* F6 A+ x# S
          set life-expectancy life-expectancy-min +' l. q6 R! x5 t+ l6 S! C
                        random life-expectancy-max   \* w4 a: h" x5 O0 ?/ w2 _
          set metabolism random 1 + metabolism-low9 s7 x* @; Z5 G
          set wealth metabolism + random 30) f. t% Q% S2 G0 @- t! k' s
          set vision 1 + random max-vision
2 d5 E# D, s/ O             set wealth  wealth +  Wealth-inherited-low ]
/ s4 I1 a5 T: x* B' g        [ ifelse (wealth <= (max-wealth * 2 / 3))
7 x" }$ }% S! W& E; x0 z            [ set color yellow
* [* w5 D1 K% P2 p0 f+ C; R& s              set age 04 ^) ^) P' D1 Q$ }+ H4 q
              face one-of neighbors4
; i% f! |) C2 g1 C  o0 Z2 _              set life-expectancy life-expectancy-min +; p, d3 `& l  ?
                        random life-expectancy-max + 1
! f* \* f; k; W1 ~: E. v1 G) X3 b              set metabolism  1 + random metabolism-mid
2 z9 f  f/ w1 F" d- u              set wealth metabolism + random 306 z! e( u. m1 W* B
              set vision 3 + random max-vision
$ C+ N! X* I. z% y                set wealth  wealth + Wealth-inherited-mid]
7 [7 u3 ?* A2 n7 R( G+ M8 v            [ set color green 6 R' v6 H; _% ?* k+ B4 u
              set age 0
3 y  ?; f$ ]8 ~7 [: ^! @              face one-of neighbors4
- L/ y( m0 C" j              set life-expectancy life-expectancy-min +
$ u4 p- X( f& y4 B8 ]2 \                        random life-expectancy-max  + 2
/ o  O# u8 Q* Z& w/ s              set metabolism 2 + random metabolism-up
1 ~; {) \2 M2 c* e% j0 a$ a; j              set wealth metabolism + random 30
2 w+ k+ b' z; `- f# ?( D              set vision 3 + random max-vision* M9 j! q3 m4 B! i  T, g: S
              set wealth  wealth + Wealth-inherited-up ] ] : Y: G0 l4 ~' Z" Z) c# }

" I- x! v1 T: P" Z0 Y0 `, D6 O. }end9 c7 E4 I0 a* J+ g
to set-initial-turtle-vars-wealth7 t% Z% A  q! o; M9 k$ s
let max-wealth max [wealth] of turtles+ e  K5 B& f0 |2 q& s  T
          set age 0, f# R$ A& Q" ~4 O. _! U
          face one-of neighbors4 0 j8 `2 [7 A6 l, M
          set life-expectancy life-expectancy-min +
) g5 m4 s* x5 \                        random life-expectancy-max 0 X3 X: S6 Q& b2 W: c% W
          set metabolism 1 + random metabolism-up
  @3 v6 I' I: V* z" A0 T, L0 h# ?+ h          set wealth metabolism + random 30' D$ f8 j, Q, B" e2 N
          set vision 1 + random max-vision
- S% H* e& R& m4 L* m$ E5 nend. w; y4 a% Z* R5 E2 Y
to redistribution- d) }- |6 H0 F4 E# d' l" [8 o
let max-wealth max [wealth] of turtles/ U' o0 C8 R- s( k1 s+ o2 S
let min-wealth min [wealth] of turtles7 Z% q% Y" ^7 Z( v; Z
if (wealth <= max-wealth / 3)
1 J' a  }8 h0 G2 }( M3 d [set wealth  wealth + Low-income-protection ]5 h! F4 G! L8 w) _0 Y2 b' D
end  A4 v* _$ D0 h$ u4 K( B& s
         
5 ?2 W" ?- f% m9 ~3 oto recolor-turtles
' w7 d1 X7 r# ~  let max-wealth max [wealth] of turtles+ q9 K# l$ }8 J6 Y, T$ ?% M
  ask turtles5 e" c; ?# D9 N5 G: n
   [ ifelse (wealth <= max-wealth / 3)0 ^% s9 k* ?- t. C% P* ]! L
        [ set color red ]
1 C$ v. {: V( A8 V- O( `2 q        [ ifelse (wealth <= (max-wealth * 2 / 3))
& u  Z! S( }) K6 V) Q: t0 R            [ set color yellow ]
4 c+ K" i8 Y% v( ]; n( U            [ set color green ] ] ]' B. O( N) }, ?! m- b4 o& o( {
ask turtles [ifelse show-wealth?
/ e. ?" ^# J; I1 ^3 k1 L  l    [ set label wealth ]
+ z7 \+ O; X4 B0 k. s    [ set label "" ]]. V- l! i6 P. [7 ^
end
9 H, o# Z! |: z  A% n
* Y0 k7 t" a; g. p, A6 Z' m# cto go
, D% T4 w0 {; ?  ask turtles
/ ~  U# X+ ^5 {  Q0 H1 o    [ turn-towards-grain ]  % E9 r% O2 L, R- o3 x
  harvest- K/ _# ~' p! T; E: a* j* A
  ask turtles
' \: a  W( V$ O! x    [ move-eat-age-die ]# n7 k7 Z% ~" p1 ~7 f
  recolor-turtles
1 C' e$ W8 [& b4 a. t8 Y5 i7 Q  if ticks mod grain-growth-interval = 0
$ ?; ~4 P$ k1 i4 M7 Y    [ ask patches [ grow-grain ] ]
0 T6 h6 a/ y! E! O2 A. u0 O* v# q   
) q5 u' g5 v3 s# R9 L. A  if ticks mod 11 = 0
! D0 N7 e  D3 |; E8 N2 j: {  [ask turtles
2 T' p6 d) M6 H! e. m  [ redistribution ]]2 F9 Q; S& `, b( b
  if ticks mod 5 = 0. K7 H! y3 ]9 W5 g: }
   [ask turtles
, R6 ?) ?1 I( z8 i# W) a8 P* O  [ visions ]]
4 C' d" X) z* t- m. _4 s1 }! j# l  tick" a. {( N; z3 H' i3 k1 o# |4 x
  update-plots
! m& U! `1 N0 x2 pend* N+ B( z% @( ~
to visions" h/ ^/ a& z/ w( z9 [4 q6 o- _
set vision vision + 1
4 m. Z6 t; h- S1 ~) V$ mend
% N# k3 S9 P2 [# ~: J3 Y' y8 @8 X
3 v8 v8 h% G" r1 T9 {- u
, ?( ]  F. d. I, j& R% c7 o) Y3 Y. B, p0 C! O7 c0 G" u- Z8 @. o
to turn-towards-grain  
+ G; ]) {+ p  \1 K, h  }  set heading 0
+ J# M) ]/ w* o6 N; A- ^/ u  let best-direction 0
3 x7 V. l" G0 z  let best-amount grain-ahead6 p9 x1 k$ U  g
  set heading 90
7 r3 C; C# L6 G1 q  if (grain-ahead > best-amount)5 S) ], p& a! w
    [ set best-direction 905 W/ \, G. ], Q  x2 o; L
      set best-amount grain-ahead ]4 b- U8 h+ c1 c& C
  set heading 180
+ y; M/ x: w" b& [0 |  if (grain-ahead > best-amount)
& N* e6 m8 u! N+ ]3 }- }    [ set best-direction 180
3 G% U6 V7 b1 q# {- m# Z8 h      set best-amount grain-ahead ]  \" C+ A% M7 r0 c3 [  ]: ^
  set heading 270  x1 i6 K0 G- K
  if (grain-ahead > best-amount)6 K" V# V" k9 G/ t( @, N6 Z' Y6 H
    [ set best-direction 270
" p9 H. i+ ~. n0 K( d& q      set best-amount grain-ahead ]. B4 l) q) J) g4 J  u' \
  set heading best-direction* ?& Y5 x3 @" M# E- L! T. k! c
end
: D% u- ]2 J8 k6 J( Q
' k* I+ G+ t! o* W
& k  f: a* u) X: z1 ato-report grain-ahead  & T! Z7 p' z( C/ H
  let total 08 I! b+ r( k- A( s) Y
  let how-far 1
9 I1 O% x! P! E( u/ G. a4 Q  repeat vision
' m" ]. ]7 ~  D8 Q  H, Y! f( i( @    [ set total total + [grain-here] of patch-ahead how-far2 A8 z/ T0 o2 m# D
      set how-far how-far + 1 ]. f4 i& w1 V- b/ H! r' A2 i5 \5 v
  report total+ q! q$ K9 ~! O$ Q6 h- e$ Z
end* {4 w6 I& m/ v$ Q4 M- k7 w
" I0 r" i8 `6 w! {+ W
to grow-grain 2 V1 G, W' t) r
  if (grain-here < max-grain-here)* g* W4 h% K; {* {+ Q; D2 r/ S
    [ set grain-here grain-here + num-grain-grown
6 M; V( _9 I4 v7 w9 ?0 \7 l  f      if (grain-here > max-grain-here)
: @& x# ]  P# K9 n. P        [ set grain-here max-grain-here ]
7 |2 h0 c( q+ q1 S. s      recolor-patch ]
& F6 h/ x& f! R/ v! N! o, jend0 t; e9 o/ Y& h# l" ^" t2 l
to harvest" F% b; H. c8 |& q" x" C
  ask turtles
3 W9 H9 m- v/ ^    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
! B. g+ |9 t9 Q' U/ R  ask turtles0 D7 u4 w0 L0 e0 F* f
    [ set grain-here 0" X( ?* z9 N0 z2 t6 P. i: Q
      recolor-patch ]
3 O$ O+ m' ^6 H: G  
  R) O1 K& D3 Z8 I- F; C" send
5 ~3 \  W4 U  N' T8 y3 E4 P
8 Z9 @' L3 w1 [) e! Oto move-eat-age-die  
) Y5 k" y1 U2 M0 z. L  fd 1
) X/ h' `" E( I9 U9 E. v9 J  set wealth (wealth - metabolism)
/ ]( X7 D& D! P* ~) H1 Q    set age (age + 1)
( R/ m. u; k4 [" |3 o- a  I  if (age >= life-expectancy)1 u7 v6 n/ }$ @9 B) ^6 u- f( ~
    [ set-initial-turtle-vars-age ]. `% E$ m$ Q4 s" s; V' L; r- [
  if (wealth < 0)" ?% j) A6 }4 X  j: L6 K7 @8 g
    [ set-initial-turtle-vars-wealth ]
* [- K6 V# x3 z; u- l   
: c, u/ a# @9 [' X3 Y( u5 ?end
; P5 Z1 U, u! p2 `1 v
6 ~- E3 T9 y7 X( Y0 p% L
/ i1 c9 o' z& n8 Bto setup-plots
1 n/ m4 W, m: i  set-current-plot "Class Plot"
8 ~7 P) [  n9 V  set-plot-y-range 0 num-people
* Q" ~( r5 ]) e  set-current-plot "Class Histogram"
5 R9 ?4 H9 o5 _6 x. f, U  set-plot-y-range 0 num-people
6 w+ |- ^1 j( v1 T1 gend  d/ N* _5 e) y0 T0 y/ w
% x' i, n' v/ c/ g) C
to update-plots
* A% i, ], ]9 t5 {# I6 K  update-class-plot
# A0 B: L1 w8 B! q! ^4 y6 g  s. m  update-class-histogram
- b& z9 P! P- r" }% e  update-lorenz-and-gini-plots; U( i5 }% H$ m# `  |
end
, H" w$ D: |% U4 p8 ~( F! N2 e) _2 H2 e; T
to update-class-plot
! r7 S) N! `( K/ O' |3 i7 d  set-current-plot "Class Plot"
: f7 x- P) E: S+ M  set-current-plot-pen "low"; ^  T" i, U' S" P1 n+ I. F$ K! L8 Y
  plot count turtles with [color = red]
8 U/ I$ g- k, t  set-current-plot-pen "mid"& i7 }' b: f  i: O1 a$ N' @
  plot count turtles with [color = yellow]5 ~. J/ B& R, z' k9 T! ~
  set-current-plot-pen "up"9 |8 }6 `: q6 E* X. K8 I6 y$ s$ s7 O) s2 a
  plot count turtles with [color = green]- Q4 H- q+ k8 Y
end3 v- `1 u( ^$ O3 H" _
* h; ?( z8 R/ R) h. ^- C
to update-class-histogram) ]3 V+ v4 k! {% t5 }( U+ y
  set-current-plot "Class Histogram"' i5 X8 _9 E0 E/ m# c, G
  plot-pen-reset
4 b& q; X' l- P6 R2 Z  Q* I3 z  set-plot-pen-color red& m8 |8 S8 |) n$ d
  plot count turtles with [color = red]' Y$ _/ S# W8 _& ~
  set-plot-pen-color yellow# U5 p7 A9 s# R6 @. P% C3 q
  plot count turtles with [color = yellow]0 C3 }, n* u4 l6 Q
  set-plot-pen-color green
, s2 _; ~5 z* t: M9 j  plot count turtles with [color = green]
/ h- T2 J" M9 E; hend
# O+ I) _0 k' a% r# O, q+ eto update-lorenz-and-gini-plots
- n8 w! W. o4 D$ b1 ?* o9 T. u  set-current-plot "Lorenz Curve"
% u9 A" k. H2 I  clear-plot
4 _& H! ]* E: H
# Y# w0 P" ~7 |3 Q% `3 k, u  set-current-plot-pen "equal"
# s6 d; R( Q  _7 R" t0 W  ~  plot 0- t  p$ W2 M0 m: [9 q3 }3 Y2 ~
  plot 100! ^8 t& A7 K0 G) X5 }

6 Z5 B* ]( e' v# H; q  set-current-plot-pen "lorenz"
1 b$ R2 ]4 l$ u! I" K  Z  set-plot-pen-interval 100 / num-people
& _4 a4 k7 q, O9 e2 }( L; }  plot 0' a% `3 S8 b4 k2 F$ H# @. D
" [% a# O( u3 t8 A
  let sorted-wealths sort [wealth] of turtles
* M3 D5 L* F# U- P: Q2 N1 y  let total-wealth sum sorted-wealths+ I1 k: [9 H5 K, ~
  let wealth-sum-so-far 0
2 j' N# j% T) X$ N8 {3 Y% }  let index 0
& M6 `: ?0 R; ]  let gini-index-reserve 0/ p1 k9 a# ~3 |6 [" [
$ U8 Z' n1 D. W( D+ `6 A; R# f9 r
  repeat num-people [% k/ P$ G! ^+ \. E2 i
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
' y, C3 ]+ w8 g; k: p; B+ F- A) E+ b    plot (wealth-sum-so-far / total-wealth) * 100% S. J: L6 a- T/ `9 `& t
    set index (index + 1)# N( X  u- N3 w; f4 \: |
    set gini-index-reserve" z: U/ b% \4 s% q6 S  i- ?, c: f
      gini-index-reserve +
+ l3 T" P# I$ I( h      (index / num-people) -6 u7 ~" r5 L3 m# |" t
      (wealth-sum-so-far / total-wealth)
0 o( X0 f& ?* C/ Y0 t; W  ]9 w1 |4 e( R2 K4 g) D

+ W; q$ h( d. w. E7 d/ K0 M  set-current-plot "Gini-Index v. Time"
+ I0 \3 t: I# K& E5 z  Q4 T8 }  plot (gini-index-reserve / num-people) / area-of-equality-triangle/ K. d  ~; S* F! n8 x) I
end8 Z, Z- I4 S- Y, k  d6 W
to-report area-of-equality-triangle: a  M6 _  c6 }
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)' L; a. K' V# O' W
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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