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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
7 l1 Q4 P; M# }" C. I1 ]globals
5 N9 Q5 S  d" A1 r8 K[
8 I3 i: d( u$ N5 |$ H5 t  max-grain    $ ]7 l/ k' Z% G
, l) I( f( t% T7 [& V3 o2 u
]4 B1 z: G$ M! {" c+ j

! J" D) s, y9 Vpatches-own& X7 ~6 g# Y* v( _9 ~6 R
[
0 u! h5 q4 F4 Q# L2 k% A2 T  grain-here      
# s4 Q6 h% R2 |( P  max-grain-here  
/ g& m) Z4 `3 `# s& ]  J]( {: W; t9 a2 j/ I
0 K; V) b  G% Y' J4 q
turtles-own
# M! a1 U/ H# X' _  n5 M[. U3 H) i# P; s0 y
  age              
# L, F% A% `, F2 W  wealth         
, @9 [5 s+ m" Q: \' }  life-expectancy  
6 w3 b! T' L! K' {4 E  metabolism       3 D9 ]% X  a* v3 I( l! }3 F' {
  vision
* h3 P0 h1 Y" o  inherited         ! P' z2 U7 n/ A5 R+ L* [4 Q
]5 n& B; W; x' s1 W$ k6 c
0 c8 F- G4 U9 q3 S$ L! p1 E
, d) B7 S) O$ h8 y' z
to setup
" X# u% `. s/ C0 p) K: B. A  ca
! Q1 l0 m; r6 I' v  set max-grain 50
  M& I8 s+ a3 o4 G: m" W" C! z2 X  setup-patches
9 i& w: v% x2 d: P% ~% k& Q  setup-turtles- ]5 m4 I9 Z2 a7 y" F) L
  setup-plots1 X6 e2 Q& n( C, G7 q) q
  update-plots
: c' A! p6 {! iend% l1 f3 G( U$ C$ N5 [' E$ D
to setup-patches7 l% U( @' S- J+ e6 I( z" S
  ask patches
$ _1 |: ?4 y: D* ^    [ set max-grain-here 0& V+ q9 N' f2 \) r- x
      if (random-float 100.0) <= percent-best-land2 [& O; k, K( D4 q, d  \2 l
        [ set max-grain-here max-grain
( N6 d" E% d8 J& \5 [+ _/ f6 O          set grain-here max-grain-here ] ]
9 K! K8 W/ }& r/ W  repeat 5
. m2 Y- i+ j! P7 L4 w9 c    [ ask patches with [max-grain-here != 0]- l3 A" E/ r3 Y! }3 T
        [ set grain-here max-grain-here ]& X+ b( p+ Q& L% a
      diffuse grain-here 0.5 ]$ t6 C6 s8 h) q. a2 P+ A  ]; T
  repeat 10
6 p  p) a; F& e4 _+ U1 ^    [ diffuse grain-here 0.5]          / T2 u- e, A" U: ^' |, m& v- J$ e
  ask patches
: P- M5 O* z3 k# {) u( X( J- {' m    [ set grain-here floor grain-here   
& ]0 d1 \( `. z. z      set max-grain-here grain-here      $ ~, N- d$ h% K: q
      recolor-patch ]! k  x6 v7 W" y4 q4 M
end
$ Q4 d* U9 s3 F& s+ eto recolor-patch  ) W) s; s9 ]% D/ m! d
  set pcolor scale-color sky grain-here 0 max-grain
& X2 H( l7 c: S$ Aend2 h) S' Y! i8 w) o2 s
to setup-turtles5 e) Q& n5 x+ j
  set-default-shape turtles "person"! V" |& z7 s7 y: L. m2 U
  crt num-people: o% W  V4 q! N) C  _7 H
    [ move-to one-of patches  5 D# y6 w6 _  c# a3 E; ~
      set size 1.5  
; C, `4 b. p( x1 w      set-initial-turtle-vars-age
9 s+ o) v8 p% c9 z! f/ L      set-initial-turtle-vars-wealth
% Y% H) \& a+ y/ V$ g# q      set age random life-expectancy ]/ D' y: g, i8 S
  recolor-turtles$ l* P/ H8 m5 _/ M" k. f9 A9 y
end6 {, f& n0 A- A( E5 q  l) m

' @" N5 Y& n% @) j- {1 Qto set-initial-turtle-vars-age4 o. n8 \' U3 k7 ^& _% M) i
let max-wealth max [wealth] of turtles
3 V8 @# }6 K3 t$ I/ @. ~# U    $ P" q4 [! V, Y) ~
     ifelse (wealth <= max-wealth / 3)
' d; E0 `+ ?+ f        [ set color red
6 g/ B- q  }1 Q) D( w          set age 0$ {. n1 i! m" ~% W* I2 b" f
          face one-of neighbors4
- S6 N: _2 j, i( v" r2 m          set life-expectancy life-expectancy-min +# H; ]" W- ]: t6 Z% i# E! Y( P
                        random life-expectancy-max 5 L* Y# q. x( |* M& z
          set metabolism random 1 + metabolism-low' K' T3 h" @7 A7 E* W6 M
          set wealth metabolism + random 30! ~3 p0 }/ B$ `3 r
          set vision 1 + random max-vision
# E+ {8 c$ @: W! e/ a             set wealth  wealth +  Wealth-inherited-low ]
! p/ P: T  V8 h8 a+ v        [ ifelse (wealth <= (max-wealth * 2 / 3))
  c8 ~9 w' A  b# Y* h9 X3 {& a2 D" C            [ set color yellow
; r7 P8 y! c( i6 }" d7 ^              set age 0
. w9 v" O1 Z6 v) e7 M( E              face one-of neighbors4 . h; n$ W% J+ g% E& @% d: k& |
              set life-expectancy life-expectancy-min +/ y6 G- I; ]3 i; n, `4 A' Y2 g6 s
                        random life-expectancy-max + 12 m0 q+ _/ Q( M, K
              set metabolism  1 + random metabolism-mid! z# @. M3 U3 Q% u1 U7 C
              set wealth metabolism + random 30
4 ]) [, z2 h: C% @              set vision 3 + random max-vision
& C: j- S- C3 h5 W$ b                set wealth  wealth + Wealth-inherited-mid]: O  h/ D: `1 L' @5 l+ T
            [ set color green
' r! O. B) X+ @* ^% k" B. m$ |: O( Z              set age 05 F1 K) A/ r' I4 y2 E
              face one-of neighbors4
  l/ O2 H& L1 f" b              set life-expectancy life-expectancy-min +
$ k8 x- H  l3 r  F$ e                        random life-expectancy-max  + 2- m' e4 \$ Z) Y& H0 N, y" I  |
              set metabolism 2 + random metabolism-up$ n7 v) x( C: G% L9 {/ V
              set wealth metabolism + random 307 l7 a; q8 B5 {, ^5 S
              set vision 3 + random max-vision0 s, t" `7 N9 W" z0 {+ W: P
              set wealth  wealth + Wealth-inherited-up ] ] ' d+ I9 j% e6 ?; |! A

, {. s4 Q9 X5 m5 m- f! send( U( a8 k, I! y0 O, \: n6 t
to set-initial-turtle-vars-wealth
4 {* a! X0 M  r( j! O+ I let max-wealth max [wealth] of turtles9 z5 R! ], a: h6 s
          set age 0
# ^9 w. J; m+ F4 @% g          face one-of neighbors4
/ {7 x+ ~4 P0 h9 W/ U; u) u6 M$ `          set life-expectancy life-expectancy-min +2 K2 |# Q1 Y7 D
                        random life-expectancy-max ' q; u! N  L% T: W+ R$ h- d
          set metabolism 1 + random metabolism-up
, r, P* \3 l* k( Q          set wealth metabolism + random 303 i8 E# L8 z' m3 z# E+ r
          set vision 1 + random max-vision
  C1 Z. M& e, `% z1 R# [end
3 ?# X; P; |) C- qto redistribution$ `+ E. M* F0 \; Z: U8 m/ y8 }
let max-wealth max [wealth] of turtles
* G% }- {* U9 A% u# h/ ?: H; rlet min-wealth min [wealth] of turtles
6 b( m' Q. b: q! d/ P$ ^1 `4 qif (wealth <= max-wealth / 3)
! Y) d/ H) d2 Z- h  y% Z3 A [set wealth  wealth + Low-income-protection ]
4 Q* u3 C4 W, J% vend7 x: ~# C* V' H( `( C) _+ @% j
         
+ j9 J& a% N8 f5 C- o& X+ kto recolor-turtles
) I9 E% J, E3 [' F5 W  let max-wealth max [wealth] of turtles
' _8 p8 l% b; O  c+ R8 z  ask turtles
% D9 O. }6 A+ T0 n7 {( k7 l- P( C   [ ifelse (wealth <= max-wealth / 3)% x, H4 ^& O( L
        [ set color red ]
, O& Y* t* O  Q; t' B: L$ S        [ ifelse (wealth <= (max-wealth * 2 / 3))
* O+ v0 P. S* J7 x5 C8 r            [ set color yellow ]/ O7 X% f) k& W2 g( X
            [ set color green ] ] ]
# G8 T* Q; _) d6 w5 N! c ask turtles [ifelse show-wealth?
! C3 z" ?1 y" ?    [ set label wealth ]
9 r' N2 d  S. W3 I2 Z+ B    [ set label "" ]]
9 T  r% F8 K! O) R# ?4 v1 gend/ D& G8 D8 v7 |
' d% A" d% w; S: d. C7 @
to go7 @7 [* p; r8 K: Q) W, B" d. |- l
  ask turtles
4 ~8 Y- t! |! R    [ turn-towards-grain ]  ' }3 e) V  }# i0 M4 P
  harvest
+ |% G# d; X6 A+ t4 H  S! B( F  ask turtles
* l! x4 R5 G( c2 ^% U* x    [ move-eat-age-die ]
7 D* i7 R/ L" D% b% @2 ?  recolor-turtles, [( }* S2 a* u  o3 n
  if ticks mod grain-growth-interval = 0
7 a8 R; W7 Z+ p( u- E, L; H$ [) O0 K    [ ask patches [ grow-grain ] ]" ?, Q4 H$ I: G0 C; _7 f: l
   
$ K+ z% r/ o! O" _* i  if ticks mod 11 = 0- e/ x" R0 w1 s* G
  [ask turtles( H# \* W7 L1 N9 l' l# o6 q7 C
  [ redistribution ]]) l7 \/ y7 J: P/ |7 g% ]& T& y- ~9 p  e
  if ticks mod 5 = 0# j% A' B' ]5 V4 ]1 ]
   [ask turtles6 v; B- G/ Z! c6 f, g9 s. L5 [" Y+ m
  [ visions ]]
! Z& F' a1 j  ]; `/ N  tick; H6 h2 ]3 d9 p1 n
  update-plots
" H7 Y+ h3 y, m7 zend
& e$ J, r" v8 N* ]6 E& b$ `) K9 ito visions
' d$ G+ }. P0 U set vision vision + 1
" {% u1 u& r6 Y  I2 Send1 O; r/ ?2 f7 C, a9 ?8 T8 e# m

! M3 Y* ]! d7 C/ O& _4 T, O: b0 U3 f+ e0 a

1 T  L2 d, w. Cto turn-towards-grain  & R5 p2 y6 w! y/ S+ ^+ Q
  set heading 0
: K( u1 i, r% n  let best-direction 0: ~0 o, `7 F# T+ {1 t
  let best-amount grain-ahead
3 z1 H- Z  D$ B2 A$ g( d  set heading 90
1 z; ~& w( I) i3 o  U' c) q  if (grain-ahead > best-amount)
* r) S  [- t) D0 j( k& E# q    [ set best-direction 90/ I& }" p9 R7 L# P. z
      set best-amount grain-ahead ]1 A& {4 e' ~; _' }! K% Y+ C
  set heading 180/ b! x/ J: t# M1 M! j
  if (grain-ahead > best-amount)
6 K$ P4 p6 o% u    [ set best-direction 180( ?% J, O! U) u- Y
      set best-amount grain-ahead ]
" t3 @! {! o- ^3 ]. W/ |+ g1 O  set heading 2705 M. f( w# A" l$ R/ r+ F- n
  if (grain-ahead > best-amount)
, `1 Y) K0 N8 ]* ~: L    [ set best-direction 270
6 u' n* H" [1 F7 V! O5 y2 T      set best-amount grain-ahead ]
! G! Q2 y3 T# b; x  z0 A4 I$ }  set heading best-direction
9 B# G* m& x) v( r- L4 i, [7 C' zend
2 _. @3 Y# B  x* \) b+ z+ l% K& W8 f! l, {/ K6 Z$ u" E  b

4 h6 F' E+ d/ g& Mto-report grain-ahead  
! P, T4 A% K  t( x! Y2 x. \  let total 0) \/ X0 h: t+ n# _; L+ A# y
  let how-far 1" A  t# R! W2 P7 ~
  repeat vision/ y( l( J* \; j0 U7 M! [
    [ set total total + [grain-here] of patch-ahead how-far; H3 ?6 M; |% j; b
      set how-far how-far + 1 ]
; D* ~" w$ Y" u! ?  report total
- k5 z! L3 s' u+ eend- q8 o; C- [+ N/ G, i" L: x

* C' f2 a9 h! y7 ?5 Yto grow-grain & z; v; t* q! `4 {
  if (grain-here < max-grain-here)
9 a0 @. w/ C7 a" c1 V- ]    [ set grain-here grain-here + num-grain-grown: @5 X0 D6 V: A6 _5 ]0 N
      if (grain-here > max-grain-here)
4 H  x9 S+ A3 b2 n$ [2 _6 v        [ set grain-here max-grain-here ]' C) [& g, v4 f, j3 \
      recolor-patch ]3 O$ z, @9 X# ?* r9 k( L0 J
end
: ~1 X5 E; K9 P0 `  Jto harvest
9 t/ {8 I2 V& S. A  ask turtles) n; z2 {; G, {9 j+ ~0 G
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]5 z1 Z, l: \* L! ]* G0 y
  ask turtles/ f! I" N" A4 ^7 F5 v
    [ set grain-here 0
4 |' F1 M5 K& Y0 o      recolor-patch ]) W" I6 B4 }: X1 G: {% X6 K; l
  0 T! i2 S$ G' d& ?
end
: r; E* v% l6 b9 `/ p& b8 T. l
2 @7 ?0 j4 W  w2 H% q- Wto move-eat-age-die  
3 ]) a+ C& S- Q: A. i4 Q9 d# C  fd 14 }/ r7 n$ S) J5 P, `, F
  set wealth (wealth - metabolism)' ^, X. p# C/ q& t& k+ @5 M, r
    set age (age + 1)- `5 ]7 O1 G7 f2 B9 u6 b0 D0 L
  if (age >= life-expectancy)( O5 B! h0 q% u3 B5 p5 ?" o6 b
    [ set-initial-turtle-vars-age ]  v3 U0 a1 y% T8 I
  if (wealth < 0)
: z- F& s. `+ i4 e- `  s) k( S3 @" i    [ set-initial-turtle-vars-wealth ]
9 P3 k+ N; G; R( L& i' b   
0 n! j, n6 w& x, w$ e7 j7 u' N8 `end4 E: \& \( Z% h4 n1 h+ x2 ]

) }3 z& R4 T6 i+ Q: T9 A3 O) t) r  r# R
to setup-plots
- \, c$ n  R, q2 j5 ~  set-current-plot "Class Plot"
/ r- e+ a8 {6 w  v8 Q' u  set-plot-y-range 0 num-people
) z/ T" `" i. c$ w$ W  set-current-plot "Class Histogram"7 e9 ^5 @2 g! ?8 o
  set-plot-y-range 0 num-people
  D/ a5 l+ t. ^. v; d; Aend
1 j* u5 g& i+ Q& l! o$ V. H
, j* P% _% K2 B" w9 nto update-plots
5 C0 T" v2 r9 _0 [/ ?5 B% a0 Y5 t  update-class-plot
( u( b! A. [8 s: N' S  update-class-histogram
8 a% n, U, \2 X; i$ Z& U  update-lorenz-and-gini-plots" ^8 \( ]( r" b1 Z# e0 i
end
0 c' c* H2 G$ ]9 y/ r
( Q% T) C+ T  F$ N0 i' E  E  `to update-class-plot
% U+ [  G% o9 Y2 d6 z  set-current-plot "Class Plot"
+ F! B9 ^! _4 i; `/ S, O; ^  set-current-plot-pen "low"
, X! N$ s0 J& h  plot count turtles with [color = red]4 X7 G0 C+ M" i8 P3 a
  set-current-plot-pen "mid"# F4 M/ g, _2 w/ Q+ n* G# e4 r
  plot count turtles with [color = yellow]% O3 _0 J' J  b
  set-current-plot-pen "up"
. t$ J! V, H" c  plot count turtles with [color = green]
6 D2 i$ @1 j9 c8 N$ R0 zend4 o0 {0 E1 G4 y
6 |* G. z$ Q0 f4 d- @& r
to update-class-histogram
3 }6 H6 K6 a! m  set-current-plot "Class Histogram"
( U8 v- g% X9 y3 R: M# X* G5 x) @  plot-pen-reset5 p+ Z. I8 r7 h* L
  set-plot-pen-color red& w5 o0 B/ |  \3 C
  plot count turtles with [color = red]
2 T, Q( S' U/ G4 ]( Y  E  F* p/ @  set-plot-pen-color yellow
+ C9 f; s$ a& t3 }0 X  plot count turtles with [color = yellow]: D7 X3 e% m  a0 m, O
  set-plot-pen-color green
+ R6 s2 n) u0 ^3 Z# g8 J  plot count turtles with [color = green]) V3 p4 ~9 x; n4 F& c/ D; p# X
end
1 I+ L1 X( T" Gto update-lorenz-and-gini-plots
, }# x2 Y* O, m9 L  set-current-plot "Lorenz Curve"
" J) X7 W  D3 Y" o3 a$ r  clear-plot3 ]) \/ ]0 T- T  \  b% L

  q& L: Z1 X/ F$ ^- `7 ?6 @% p  set-current-plot-pen "equal". ^' `1 K4 N$ ~( F# p) V
  plot 0
) g6 n- Q/ \, B( I, }/ ]  plot 100  J& f# k. u% s
* C& X" K5 T! K( n
  set-current-plot-pen "lorenz"8 D% `' V7 B; D, [5 V% P2 b, [
  set-plot-pen-interval 100 / num-people- U, J2 H9 \+ e: ?
  plot 0% ?8 w; c6 r3 G- N
9 ]; D4 @8 j5 L% Y& b6 z
  let sorted-wealths sort [wealth] of turtles& y8 k3 C" K( I# U; J6 A
  let total-wealth sum sorted-wealths) W8 ^2 h4 ^9 h% C0 D! H$ N. h
  let wealth-sum-so-far 0
, F4 B* Y/ Q# E' `- v" K( P  let index 0
4 d! H  f) V/ S3 |; ^" J4 ?) f  let gini-index-reserve 0
0 C8 \1 P' ]6 F4 W' Z( S; G: m0 S) q" U  R+ n& G$ g6 {8 f
  repeat num-people [
( {3 n* e( D/ Z7 q' g    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
3 E  p6 ]- A9 e6 o+ R. v4 u4 `; Z' N0 ^9 H    plot (wealth-sum-so-far / total-wealth) * 100- L5 ?$ _2 i9 \. A# |1 V! v
    set index (index + 1)
9 A1 ~: W4 K7 e9 a# n    set gini-index-reserve
9 `& n  E' ~' ^4 O* A- o7 ]      gini-index-reserve +
% D3 W! ]3 a0 i      (index / num-people) -
$ U+ f( o9 \4 [' j      (wealth-sum-so-far / total-wealth). e5 l$ t. K( _5 F  u: {6 y' t
  ]* H# X" t# y$ f' l# B3 X

! Q) g* L6 }' U+ p1 {# ?) k: N  set-current-plot "Gini-Index v. Time"" l. d. |% G8 E4 J) u2 i/ u2 c
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
" F! R- l4 M$ b! s$ t4 Wend( R/ C3 |6 l! V5 I- \) D
to-report area-of-equality-triangle" L9 |' H. X* R( h; `/ [$ r9 i
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)* ?2 m8 J8 T& z( G
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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