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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
2 a  w' h" Z" c4 V5 K' e/ P) @+ S4 Rglobals2 d: _6 K. l! w( j* t  n
[) B. B. q4 Q9 E2 \& R4 t
  max-grain   
" a' R7 Y  L* I! f% f9 v9 q) N* z4 U/ H. P1 S
]
5 W# j2 y, [  X. ?! t
4 R+ D% e$ b9 A# o, D( rpatches-own4 ^; N8 n+ j! K, X# \) N1 I: G' Y
[
  I3 |( S4 S0 d# p  grain-here      ! [3 z) l3 d& Z! A
  max-grain-here  1 S' r  q! `" k0 t
]" o* T3 B- E6 J$ W0 Q1 a

* t; H# @% _+ P# P% o% `2 ~turtles-own
# M" l: p3 `7 R3 c7 |1 b[
! n  z$ M, m6 o: q' L$ v& x  age              
# ~5 y, A/ v  I0 A: H  wealth         
# Q! @: k) [2 h  life-expectancy  
/ g7 g/ r6 `3 `& c$ k  metabolism       # T  l: g3 f8 P, Z- S, l
  vision6 ]" v; N; v; Z. N6 r, m
  inherited         ; f7 t2 t* w2 h8 l
]- `5 J4 R+ E. g, F& V% @2 }
  C5 {& I6 Q% O8 C

7 Q& V6 L( _4 |7 n9 ^to setup2 t# s4 t' {3 G+ U9 n) n
  ca7 l; G5 T8 P. I- c
  set max-grain 501 z# w! O! w; T
  setup-patches4 j! O2 [1 O& C8 |
  setup-turtles9 M/ K+ B4 {. X  ^5 ^+ N
  setup-plots( g- s4 Z6 P" X/ \
  update-plots
2 L  L% ?+ C6 V; o6 C$ w/ jend
/ k3 H6 l6 a9 G7 o! s6 n2 X# p3 h" jto setup-patches1 i! T5 o  J) A2 v) R+ i
  ask patches! [9 g; L5 }( S- ]/ `4 X/ ^- k* D
    [ set max-grain-here 03 o4 Y' x# y) X! h6 k! b  |
      if (random-float 100.0) <= percent-best-land% h( v7 ]9 U9 T6 p, l2 q
        [ set max-grain-here max-grain
2 [1 }  Q8 [" r6 U          set grain-here max-grain-here ] ]
: ?/ K+ A1 A) p. B, J' F  repeat 5
% B/ k6 I6 c8 t( d: f1 Y    [ ask patches with [max-grain-here != 0]* X; x: ^( P' W; l6 A
        [ set grain-here max-grain-here ]
$ a  D2 J& \: Q2 d- K+ ~      diffuse grain-here 0.5 ]
# {( |2 d- i; c2 ^' H  repeat 10
# ~- R# b- ]% b3 P7 R    [ diffuse grain-here 0.5]         
, e" L( a- K) _1 C1 w  ask patches9 G! G: e0 w" a3 P4 {
    [ set grain-here floor grain-here   
. b6 i- q8 ]( S; z9 c      set max-grain-here grain-here      
  a( s2 _/ L  s/ g8 }      recolor-patch ]
8 F$ ]) |# p' j' Z  Zend$ [. P, _. u. x1 {/ }6 H$ u6 g
to recolor-patch  
& Q  [/ t( W. J2 X  set pcolor scale-color sky grain-here 0 max-grain
! z8 A3 \9 P( Vend( o. ^% f/ i2 `, _2 s# I* ], n5 p
to setup-turtles
$ T5 e; M5 @' Z  set-default-shape turtles "person"# E$ }8 i( [8 V2 r" Y2 q5 S
  crt num-people/ p* k! P4 f% d$ I/ ~) t
    [ move-to one-of patches  
' T8 T( i! L9 j, k& a; K# h1 H      set size 1.5  
2 w0 M2 N( C# ^) _) I( @      set-initial-turtle-vars-age+ M. N) o( \+ x
      set-initial-turtle-vars-wealth9 M6 a& [' w. l. C+ n1 E9 F. s# o
      set age random life-expectancy ]
; J8 `5 W. v3 F1 s* ?0 W( n1 w  recolor-turtles
- F# D. o% y( h% W# |. Mend
* y  c7 D  M( Z7 r( y7 J' {) c$ r. _- Z9 i" Y6 p, ?/ n$ \5 G/ h
to set-initial-turtle-vars-age; J# b3 B/ R; W8 k
let max-wealth max [wealth] of turtles3 A( X% N2 |4 @) \7 W# L
    ( A5 M5 \$ [1 v+ a& I$ \
     ifelse (wealth <= max-wealth / 3)
" [. _+ k4 D: K/ A. e" z        [ set color red # i9 K5 y& O( ?
          set age 0
) d) U8 O# Y. P          face one-of neighbors4 , k( j) p- o5 n# o
          set life-expectancy life-expectancy-min +
0 s- [5 d+ Y0 @3 L- q                        random life-expectancy-max - |. }/ L8 `3 ^
          set metabolism random 1 + metabolism-low
; m" N& d5 T2 I" A          set wealth metabolism + random 306 F* i' V4 {& s; ?2 a& g
          set vision 1 + random max-vision
  o: @+ B7 M3 t. `' u+ ~1 G             set wealth  wealth +  Wealth-inherited-low ]) D+ m5 q3 d4 n0 u% \0 k
        [ ifelse (wealth <= (max-wealth * 2 / 3)). k5 ]5 l: h, v- Q) I5 O9 l
            [ set color yellow $ x2 p3 C- N, G& D0 v- K$ o
              set age 0
& j# M" F0 v# G8 C4 w) \" y1 U/ g' _              face one-of neighbors4 & `1 I! c& E" X. X
              set life-expectancy life-expectancy-min +
$ e7 B/ a# l* f- u4 V2 [                        random life-expectancy-max + 1# r* C9 S& D: T! N4 p; x- f( Y
              set metabolism  1 + random metabolism-mid
  {" m+ r) Q4 \8 _( c2 k              set wealth metabolism + random 30
' _, g, j5 @. M1 h- o5 t, ?              set vision 3 + random max-vision. J6 ]) ?0 m; Q" e+ F
                set wealth  wealth + Wealth-inherited-mid]0 W. ]3 j* K) u2 i7 s7 A- ?3 l
            [ set color green / [8 q, }: b" i: W. U0 _
              set age 0
9 V* Z7 \  L$ ?9 L# L              face one-of neighbors4
5 `  G$ _$ h, t& y              set life-expectancy life-expectancy-min +
& V5 y9 i- k( Z: Z! Y                        random life-expectancy-max  + 2! N  p; v( D- k# U7 w8 E
              set metabolism 2 + random metabolism-up
( p/ b2 }& i8 o* ?5 X1 z% s              set wealth metabolism + random 30
8 \5 [9 N2 ^; _6 r              set vision 3 + random max-vision& w# r/ J4 O. Q1 |# z0 v
              set wealth  wealth + Wealth-inherited-up ] ]
. a6 ]4 H% Z/ `& \ ; y$ A: j+ q$ c. D! o. k, u; U/ R
end
; y, L: C3 p' Hto set-initial-turtle-vars-wealth
. ~" |0 O5 P9 v6 D  H let max-wealth max [wealth] of turtles* P6 w# i- p4 d
          set age 0
( X7 Y" N+ e" ~2 k  i7 }          face one-of neighbors4
. d% R' E9 a$ S; N          set life-expectancy life-expectancy-min +
" W$ u+ W! E$ ^' C* `, u                        random life-expectancy-max
! W$ M7 F5 ]) v7 {) e          set metabolism 1 + random metabolism-up7 {- L6 |4 y' A
          set wealth metabolism + random 30% \# {) E6 \3 O
          set vision 1 + random max-vision 2 y+ Q8 E5 U6 C0 n
end
. I) D+ S1 S4 {to redistribution
4 J0 z. [, Y3 D. D$ f8 S% J% r/ @$ glet max-wealth max [wealth] of turtles
* Q6 k7 t  M. O, W; L: k- z8 a9 Ylet min-wealth min [wealth] of turtles
2 v8 q- i6 P; G! ]- m) v* Jif (wealth <= max-wealth / 3)- s3 a, l8 l+ k: @7 r/ B. I
[set wealth  wealth + Low-income-protection ]
$ C2 s. \" {9 ?0 ]3 m  bend
) ^  g; T4 |& M' N' }9 F* {         
4 I. e2 l- e" ~3 \to recolor-turtles
; `  a7 m- |; T  let max-wealth max [wealth] of turtles& D9 d9 G; }$ k" D4 P1 ]
  ask turtles+ a( K4 V5 W0 f  K
   [ ifelse (wealth <= max-wealth / 3)
3 P  ]3 L0 i/ t2 c5 R" Q, }# f; r: g        [ set color red ]
. D/ T: v1 {$ J6 @7 u. p9 u1 F' G        [ ifelse (wealth <= (max-wealth * 2 / 3))
( f1 S0 ], j3 ?7 C+ {# M            [ set color yellow ]
9 m) a' w. J" f& s# k            [ set color green ] ] ]
( N; w% E! W, Q; R2 t& z% a1 z ask turtles [ifelse show-wealth?1 @  M* A( K' m# r; X7 S: i
    [ set label wealth ]
: G1 |" c7 F8 }. F    [ set label "" ]]
& v, r) z" ^9 r. Q1 B  o+ vend4 K7 V4 I2 p9 w- s$ y: A* q

; V2 \# y/ |8 c# j0 jto go, @: [6 P& ~# @) V, d/ ?: B! Z
  ask turtles
2 z1 H" i  A* [3 B& I" x    [ turn-towards-grain ]  
" m% p' O1 U  Y3 }& i3 V  harvest8 o! T. ?1 F6 u2 f/ }
  ask turtles! N9 x" _& X* V; R$ v* ?  g
    [ move-eat-age-die ]
6 z! s, U% K  F  recolor-turtles
$ N6 h) @% j+ |7 x+ m  if ticks mod grain-growth-interval = 0% l1 ?6 v) l2 u9 ]2 M* ]) w1 f2 X
    [ ask patches [ grow-grain ] ]- z' r( [# c. q$ }! }& {8 P* q- y$ t
     W9 `  x- Q4 d& ^9 H
  if ticks mod 11 = 0
0 u# n4 h( d; r% P+ z8 l+ C# u! @7 z  [ask turtles
6 W/ b% M' R3 A5 ?6 r  [ redistribution ]]" B9 [" W0 _6 j4 c
  if ticks mod 5 = 02 A' V$ c* N$ U3 G
   [ask turtles
/ u, @' |& y! Z: ]- Y  [ visions ]]8 E' G0 L+ y/ u
  tick
6 N& ?5 C# C' Q  }) k$ e  update-plots. b9 d0 B) T% ?) z  v
end+ C$ I: v5 X) |0 z2 h; I
to visions
/ I. A% g4 Y, X4 {9 x( d set vision vision + 1 ! ]$ l3 u: x, j6 U: B! S
end
% `) a; i) H/ E8 g% Y5 E- }5 ]6 O
  {+ @; A! t8 a7 V- d" E
! z1 L$ @1 t# }9 l7 H$ Y# Z* w, m+ k: \2 q+ O) ~" w5 c2 q
to turn-towards-grain  1 ]$ o' w6 m- N7 R$ y& W( x  ^
  set heading 0
, t& }5 ~' N7 f7 Q1 b7 b0 m  let best-direction 0* ?4 }" I9 o: ^8 R6 R% I
  let best-amount grain-ahead
. c. r4 f2 w& I4 e7 r) D7 W. T: w" w6 Q! v  set heading 90
: P+ C' U' [+ K  if (grain-ahead > best-amount)8 F" ]5 f' G. i) X* A
    [ set best-direction 90$ r* L( d" y1 K" C* }2 X4 p. T" g
      set best-amount grain-ahead ]9 O0 \9 s; x1 G$ a0 F# ?4 I7 E
  set heading 180
2 Q4 w% z, p: |; P, q4 s/ z, T  if (grain-ahead > best-amount)  Q$ y. p# v' D5 L" U0 v
    [ set best-direction 180$ J* Y0 Z9 t- C, v3 k* a
      set best-amount grain-ahead ]
, o* t& T- o5 f* R  set heading 270) @( k, @2 M1 C  F% W2 f, }
  if (grain-ahead > best-amount)1 d' s* ^* d5 l& \6 P
    [ set best-direction 270+ c" o7 L" k% u. q
      set best-amount grain-ahead ]2 J  f4 [! ~) c( g
  set heading best-direction
. L4 R5 D2 n2 T6 O- ?end
: u( z: w) o/ j! R- L6 \6 k  G
, q) d; H' s- z; n5 \1 m- d
0 a  H' Y& ]) G, p  Oto-report grain-ahead  & v! W  M/ w, R" G+ M
  let total 0
! f1 v2 g0 w+ D/ h9 h3 j  let how-far 1
( {9 P: j/ e* n  repeat vision
' V/ Z& `" F$ F8 V9 G    [ set total total + [grain-here] of patch-ahead how-far
: b, A  t3 n5 c# b5 |! Q# |% S. d5 ~      set how-far how-far + 1 ]( C1 }5 l; j1 t$ m& L- z4 R
  report total
' D# K$ k( Q& R9 Z3 _end2 L! K. ~. W6 N4 v& s" u
- k/ \2 U0 q, Q* A* Y
to grow-grain   Q+ v4 L& T; D
  if (grain-here < max-grain-here)' w5 X; ^1 V- b# e% Y* o
    [ set grain-here grain-here + num-grain-grown
: I% J! T8 y7 t% \) K! s5 x. x      if (grain-here > max-grain-here)
7 h' u/ G8 F. c3 v        [ set grain-here max-grain-here ]+ h; r1 Y1 M, k* _" O
      recolor-patch ]3 A0 j0 m8 d# v' f
end1 A: y  ]0 a# {6 y# `
to harvest1 a- W5 H4 G! p3 h2 {
  ask turtles
+ d3 J* m3 h5 e, H2 H9 T( `" F    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]& m# S+ }9 [- \7 X. U2 `
  ask turtles
! H, j8 g& @  G& G( r' @9 v    [ set grain-here 0
. r, d* g) a4 u& _$ H( a      recolor-patch ]
2 D( t- y8 A1 C7 r) j% f, s8 v  
; Y" r* h# |2 w+ |2 f7 Y- }end
* W0 q. Z  U+ d( P7 ]9 z) E0 k# f4 S: G7 f* r3 A( ?
to move-eat-age-die  , o8 ]- O) Z; b- b* l9 D. S
  fd 16 H6 o* ]5 Z% X
  set wealth (wealth - metabolism)6 R9 p6 Q0 T# _+ _6 I7 ~
    set age (age + 1)6 M0 i9 R5 S. ^, J  V7 n7 n
  if (age >= life-expectancy); W7 {" ?" m8 u7 ]* e
    [ set-initial-turtle-vars-age ]
. Y1 C$ B4 P$ S1 \  if (wealth < 0)
; ^& y- P5 O; J    [ set-initial-turtle-vars-wealth ]( S: h2 V9 J4 B# W2 N7 n
    0 t# a- p; s+ ^. D
end
) Q6 H" a( b: J1 K: s
! M1 ^, u2 a: q9 p2 o. o
( j" s  A  u9 ~9 [to setup-plots
" T6 s, G. ?+ V5 z  set-current-plot "Class Plot"3 _/ h1 H2 T' C2 ?1 Y
  set-plot-y-range 0 num-people
/ n) ^5 i1 p+ M" v$ H6 K  set-current-plot "Class Histogram"
  ]: Y" F% ~( K% _5 b* d! e  set-plot-y-range 0 num-people4 @* L8 x; H0 J, t1 y
end( i+ p# |4 L% c# C/ d6 t$ _5 j. W

% \- h/ v, c$ a, ?to update-plots) F& f; O9 F+ f
  update-class-plot6 R& i7 I0 _" u4 |5 O6 r
  update-class-histogram
1 ~0 F& G- e& l) n, v  update-lorenz-and-gini-plots" X: ~9 _2 V7 m& I- j7 ?' \
end
) ~# a. C' K4 M  s8 D8 F3 U* z/ u. S0 k8 I! H4 F/ f1 [
to update-class-plot: o' `- r( G" [% _' E1 ^% g
  set-current-plot "Class Plot"- C: M2 i6 c4 J) D
  set-current-plot-pen "low"
7 F4 {( ?: n2 j; l3 |- h+ R: M9 S# z  plot count turtles with [color = red]2 {7 M. h4 d; V; e9 T/ Z
  set-current-plot-pen "mid"
5 o3 j- ^! m1 ]6 d4 V  plot count turtles with [color = yellow]5 d) `( {2 f# M6 x, I/ c. w3 d
  set-current-plot-pen "up"
9 Z# c  l) A& h3 O# S/ }  plot count turtles with [color = green]
9 \. [& G) }" W* S$ a! T2 Aend- o3 h% ?5 N5 r: ^0 y
. y& H# [2 y; |
to update-class-histogram
+ Z1 C  |, P$ a% G/ \  set-current-plot "Class Histogram"
: A- v  _' o* Q& W& n, `$ Y/ N  plot-pen-reset& v& |# c1 q6 C: T; ~. K
  set-plot-pen-color red
9 U# [  Y& C$ t  i) j( k: \  plot count turtles with [color = red]) ~/ m; A3 L6 E% }; N& O- v
  set-plot-pen-color yellow
% I9 D. o" o1 Z4 `; G- P4 n2 E, m7 e# o  plot count turtles with [color = yellow]" u0 ?# j5 |. {- a6 \& Z. _/ m
  set-plot-pen-color green8 V8 M" X9 r9 {- [3 Q
  plot count turtles with [color = green]( C* S% g4 t! q
end. r) e5 U0 c7 h1 x4 V; ~
to update-lorenz-and-gini-plots9 O& L* E* I/ ~' v% }
  set-current-plot "Lorenz Curve"
9 n( E5 H. p. w4 f  clear-plot: i. P/ ^  m- `6 }& ?

: d; l6 w5 @# r6 w; N* J  set-current-plot-pen "equal"# w6 _  W* a8 W: Z8 e$ I8 b& q
  plot 02 X/ k5 V! z0 z
  plot 1007 q9 W! X+ z! k- v

, a  C2 n; q- Q# z0 }9 j5 j9 R  set-current-plot-pen "lorenz"
0 N( ?' c7 i3 E, }8 E# c  set-plot-pen-interval 100 / num-people
$ I- b- x6 q/ l. Y4 h& ^: e  plot 0% ?4 Z/ x6 Q& C$ a' b: Z, b3 \
! r8 X$ |+ f& a$ Y* ?4 _
  let sorted-wealths sort [wealth] of turtles
# w9 h9 I6 V! h( N$ t  let total-wealth sum sorted-wealths, V# `$ w' C5 \. `( |, J# D5 k
  let wealth-sum-so-far 0
' ~2 Y+ ]0 v# \& ?! r  let index 0
: R3 _7 O: |1 q/ B' I  let gini-index-reserve 0! z6 q4 x8 h4 r7 e* |3 |& ?
( S4 Q( A( O+ M; d5 f) J4 |
  repeat num-people [8 \& j$ F5 z' G+ I" o
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)- T, V! }1 R0 p& H7 p
    plot (wealth-sum-so-far / total-wealth) * 100
  f+ U4 `. E1 c. w: v/ N+ ]2 b    set index (index + 1)5 D/ t4 n4 o3 e" U! y
    set gini-index-reserve
% j1 ^6 {+ k6 A" q$ n0 U; M" _. P3 t      gini-index-reserve +
7 M" T. g& V! m7 [2 E- p+ m6 ]      (index / num-people) -1 }9 x# W- Y, A+ I6 ?
      (wealth-sum-so-far / total-wealth)
* D4 u% X, N0 [9 U' E  Y6 L) g4 m  ]; G$ Y4 `0 I% w' G
4 C  L" G" J3 u2 T) D/ W2 V% h
  set-current-plot "Gini-Index v. Time"
  D& W) `! r$ w5 J5 _  plot (gini-index-reserve / num-people) / area-of-equality-triangle) N# N9 B& ^% c# p# P
end% k2 ]' a2 B% M6 z& _3 T
to-report area-of-equality-triangle
0 x! o) p/ D# V- u: i! m  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
/ s% h, s- t& t9 w2 q4 F- S; _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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