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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
) ]9 {, {1 ]% @3 u* Q% Lglobals
' \% _8 t2 Q1 D) U/ l5 |$ B[
4 P3 g+ m! v4 _% L  max-grain    3 m$ V* ^$ r' x5 D  Q8 X
$ @0 |9 T1 G" h
]8 M8 A* r7 O5 ]9 y; P9 v. ]$ I
& |9 l- |6 f( f3 K# E
patches-own
6 G4 h. t; v  D[! X, Q2 N3 L) W. g( v
  grain-here      
  e8 G7 a7 m- P0 U% a* Q  max-grain-here  ( J/ u& |: z) g8 q+ @
]8 h7 A; |  A3 Q) F, {6 |5 w
" \3 y$ f+ e+ \+ o  W1 Y  }2 E# _
turtles-own
! t0 [6 `( S2 }0 n' w/ y[3 C1 q. T$ e1 n, H+ u* \! \
  age              / U/ C& t  d) ]! J# F
  wealth         " D/ @8 @0 {6 g: d$ R9 Q+ _7 v# p
  life-expectancy  
# G; \1 u4 o: _5 k8 `. s5 ?# z6 ~5 E- `  metabolism      
+ |$ b7 Y$ ?# f9 b  K: P$ `  vision
$ [' r0 o, x+ q3 n; h  inherited         + {7 k$ n/ _  Q( @, R1 U
]8 \6 @: i' [# l8 A
3 @3 e5 `) w! t' w1 G
# I; [% p8 t. N1 c- b( X- ]
to setup
$ ^3 p; n3 `+ _- s  ca
0 N; @, M* c2 i! u6 m! |" |: Z  set max-grain 50" D6 _% t$ D: g- \7 E8 w2 N- J" ^+ O
  setup-patches7 L* Q  W$ A+ R/ l
  setup-turtles
* c- k. d6 n7 \; j+ f+ \/ G  setup-plots0 Y* T9 g% K+ X) J% A# p5 m
  update-plots6 t0 |3 ]7 i/ e( W  {: {. t$ y0 J. q
end
$ a( k6 d% l; gto setup-patches6 F3 S! U0 B" _8 G
  ask patches# _/ A1 T4 e  D/ R
    [ set max-grain-here 09 u" o/ M7 R. m/ h$ c8 {) g3 H
      if (random-float 100.0) <= percent-best-land. n7 G& J" |, T+ X7 S
        [ set max-grain-here max-grain4 |& P4 t+ G! L) {0 n
          set grain-here max-grain-here ] ]8 u) T8 U. v+ R! ^
  repeat 5: d$ _5 Q0 A, E8 F- S! j1 M
    [ ask patches with [max-grain-here != 0]
* B% o0 k/ Z6 A3 v. [9 J  z        [ set grain-here max-grain-here ]
. v1 o3 d. W( t      diffuse grain-here 0.5 ]
& t8 C3 G6 J. @) ~7 @: `& A6 e! [  repeat 10* A6 {! l# ~7 l
    [ diffuse grain-here 0.5]          / B& S1 G+ \; U; O
  ask patches
& g7 y% F* w2 N2 p: Y    [ set grain-here floor grain-here    6 Q. ~8 s) j' v/ C& r+ ?6 S
      set max-grain-here grain-here      
" f3 [) ?2 Q% H# o" C0 u% \' V      recolor-patch ]
% j6 }& ^9 h' @# Z* Gend  L0 c# I# _6 J& G) U
to recolor-patch  
9 \6 {2 D& W+ z- R  set pcolor scale-color sky grain-here 0 max-grain
- H  M" {! i' w8 ]  tend
# Z8 i4 h0 N! Z2 Lto setup-turtles. K# X, G% P' U2 c
  set-default-shape turtles "person"
, r1 @  u" V4 g* O+ J! K! B% d  crt num-people0 u3 @, R5 i# O" d9 e& n; q' M
    [ move-to one-of patches  
7 A: I$ K8 r  D- e2 }3 L" Q      set size 1.5  
6 c9 _: ~- s9 a* H/ j+ A: H6 O      set-initial-turtle-vars-age+ }6 [" x* g8 g+ T9 y" q& R
      set-initial-turtle-vars-wealth
; i1 A' H  C0 g" Z      set age random life-expectancy ]1 @, N& _8 i+ G' a
  recolor-turtles
7 t! f! u! {8 X  P' C) J+ L2 Q/ o- \end% @8 j5 l+ t2 Y' d

* l1 z" y( v. \5 x9 V8 Pto set-initial-turtle-vars-age* U6 c/ h. l) I. P: s6 T" j
let max-wealth max [wealth] of turtles
5 g4 l. h% u" l, k& p& q   
( M+ r" P3 I5 f0 J2 D8 ?     ifelse (wealth <= max-wealth / 3)+ N* S- b- \  N7 b
        [ set color red 8 v& W" Q6 u. Y  Y* t
          set age 00 k, @+ {4 o/ r6 c# y9 E: S
          face one-of neighbors4
1 \% ]% `3 ?! r+ J$ `+ U          set life-expectancy life-expectancy-min +& S7 l+ E. h6 n* l1 ^$ I% N( a) I" @
                        random life-expectancy-max
  Q2 K4 \9 S7 U6 B3 W6 c, \          set metabolism random 1 + metabolism-low2 f1 L' a& O) D& v' G
          set wealth metabolism + random 30
9 l, e& F8 U. N          set vision 1 + random max-vision0 q$ j2 ], c1 Y6 K
             set wealth  wealth +  Wealth-inherited-low ]
! s3 ?$ u1 r, a: ^* n5 [        [ ifelse (wealth <= (max-wealth * 2 / 3))
, K  L9 s7 K7 `            [ set color yellow
8 L) m, c; T! {& O! @              set age 0
0 K0 c( f0 `: A) F" h/ R              face one-of neighbors4
' |" u% r4 B: M" R              set life-expectancy life-expectancy-min +1 M0 }9 F! d1 v
                        random life-expectancy-max + 11 E7 _1 d$ B8 Q5 V- y
              set metabolism  1 + random metabolism-mid
# W6 E1 O* D4 T6 D              set wealth metabolism + random 30
+ w& R2 e" D6 S, K7 e              set vision 3 + random max-vision
- h1 Z; L1 ~7 m% V                set wealth  wealth + Wealth-inherited-mid]8 P" y) K; A8 ?
            [ set color green
# [/ U  J+ g, g5 @+ E              set age 0
/ E6 D8 W/ U" l: g! S              face one-of neighbors4
- O! a% f( d) D3 F" S5 s              set life-expectancy life-expectancy-min +) Q# D& _6 Y5 \$ u- H
                        random life-expectancy-max  + 2
+ d; M( d3 p/ X6 x9 C              set metabolism 2 + random metabolism-up8 o7 H/ R9 {  {
              set wealth metabolism + random 300 O1 X6 x: D% p6 k& d2 |  ^7 N
              set vision 3 + random max-vision* L6 m! L! a: t+ x6 g: v
              set wealth  wealth + Wealth-inherited-up ] ]
# O# t+ Z: j7 v8 s4 p% W6 L7 h
, n: ^9 q0 C2 G3 u0 d4 @- ^end) [9 z$ T) k, G
to set-initial-turtle-vars-wealth
" {, u+ v2 G2 e( e3 V$ {7 p/ U# N let max-wealth max [wealth] of turtles
$ s( a# ]: w0 s! Q6 o          set age 07 N5 Y) |* F3 t% k
          face one-of neighbors4 # Q! Z3 o# w+ Y  |4 K
          set life-expectancy life-expectancy-min +: I2 t: ?. a1 P2 _, i& V& _/ b( K
                        random life-expectancy-max 1 Y( r  S8 U/ ?8 |4 l
          set metabolism 1 + random metabolism-up# }- E5 F' r0 h) V+ U
          set wealth metabolism + random 30
+ I& a- X7 v0 Y5 `          set vision 1 + random max-vision
  f- O! x% v" q0 Gend/ g, t9 e, @8 w! C( v1 t
to redistribution
) g# W1 H2 b; y: o4 t2 klet max-wealth max [wealth] of turtles
% E4 z8 I( [; r3 N; r6 glet min-wealth min [wealth] of turtles
( _2 G; N$ i( b7 cif (wealth <= max-wealth / 3)
7 `4 z: D6 m; ~0 M+ O. s0 U% E [set wealth  wealth + Low-income-protection ]
# Y( F' Q  @; ]  h" r' a4 T" Qend
2 y/ e7 P( F" x9 `: T2 E& d2 F         
% Z; q3 w- [2 zto recolor-turtles
3 Q, r4 o2 `" b! H  let max-wealth max [wealth] of turtles
# e  `- t1 D* n8 p6 L8 C; X  ask turtles
5 g# w# }+ |. o4 M9 F   [ ifelse (wealth <= max-wealth / 3)' r5 u" o9 C; Q6 `
        [ set color red ]
5 T9 x5 p0 @, M+ j! K3 U        [ ifelse (wealth <= (max-wealth * 2 / 3))1 J3 t) a8 C  G' C. A  N" p
            [ set color yellow ]
( C; B( h8 O0 _6 P, L            [ set color green ] ] ]6 w2 @+ d4 s* ]5 N4 W; n$ L$ ^; Y
ask turtles [ifelse show-wealth?% z. Y) ]* d1 B0 Q
    [ set label wealth ]
: x, w* \3 T; p    [ set label "" ]]. m' E, p$ t3 l* r6 p, b
end
6 f( S8 X* A, D$ @: D8 `5 J7 |# H$ o, ]5 M9 s
to go
+ M! g* n/ s6 k9 ]1 w9 J  ask turtles
8 Y$ P- s$ ?& {6 J2 G    [ turn-towards-grain ]  
1 l. C; j: \- n& [* @, H2 g6 v. ]6 K  harvest
" p/ P' K) J. J5 H! ^9 y% }: d  ask turtles
( @3 d8 b0 C& O    [ move-eat-age-die ]
6 ], W9 F$ P4 F5 @  recolor-turtles
2 A; Z7 t% ~$ e9 h4 E* p  if ticks mod grain-growth-interval = 0! h: I" g3 ]. Y/ G9 u
    [ ask patches [ grow-grain ] ]4 o$ l4 m, J4 T" e5 d0 ^+ Y
   
! e9 n2 g3 r1 {; L+ T+ t  if ticks mod 11 = 0
* l2 R9 E7 P; q( N3 c+ N  [ask turtles
7 H& n- v4 `3 g4 m3 ^  P( h& F  [ redistribution ]]& H9 t, e$ C1 {3 e: I1 F; f
  if ticks mod 5 = 0
" g7 N" E. K- m$ c   [ask turtles
$ ?% B3 i! r/ H/ c" d5 [& x0 {- H  [ visions ]]; J* o8 A3 I8 J4 n4 ]  _* P! _1 B
  tick; d/ s, J; x% {0 S6 H
  update-plots
4 Q) O" d3 O/ i* O" d3 Y# D" zend& T5 b6 P2 D" ]! a8 ~
to visions
8 R) F# v# s4 q3 j. |# K# j$ H5 a( ~ set vision vision + 1 # o7 c4 w8 C. ?0 n5 }
end
3 {; |- s6 @1 p2 h* W+ w( T
/ S3 a4 `6 T# l. a
* l5 }+ ~# ?& g2 w& g* C( |" i# y: N% u; r. j
to turn-towards-grain  
( i6 C, m9 E' y: ^- C  set heading 05 ]8 {. m) J) L1 z
  let best-direction 0
4 g1 E" ?4 H! f0 U" ?  let best-amount grain-ahead
, H, \/ E; W8 m9 H* R  set heading 90- s' J4 U$ _; {2 R5 V6 [
  if (grain-ahead > best-amount)# w, ]5 G0 Y$ [2 P
    [ set best-direction 90
5 F/ F$ _  J+ ^      set best-amount grain-ahead ]4 D" \* F/ r7 L4 a2 V8 P3 H# o
  set heading 180
) O7 ?" s) N8 X, {7 T) V% O  if (grain-ahead > best-amount)
$ u/ g( E5 N1 f- V8 V' K5 k    [ set best-direction 180$ I0 V2 M- h+ o* [& g3 x+ V  y6 D
      set best-amount grain-ahead ]
5 a2 T9 R  a5 p+ d  set heading 270% Z' p* f9 o: e0 }+ F; Y5 {
  if (grain-ahead > best-amount)' m, x% K3 w) ^" i0 d" g/ U
    [ set best-direction 270' W( w) y' ?" e$ O, J4 r) V' A
      set best-amount grain-ahead ]
. z$ h- Z, ^! r' n1 j. V8 o- ]  set heading best-direction
5 r5 u: s( W; T, Wend
- ^  K8 l+ f# F& N4 w3 O$ V' w. f$ H/ \) S! N

) r# x1 A' L2 Q) }& Rto-report grain-ahead  
# m) U+ P1 I5 a0 W/ L# Z  let total 0
4 e! }. o- C: j  let how-far 12 @. t& m: l* k0 g2 W4 U1 p
  repeat vision
9 M. L, u) _4 I, I; R! h4 b6 c    [ set total total + [grain-here] of patch-ahead how-far
" P9 j& ]( o% u1 S% H# V3 O! z      set how-far how-far + 1 ]
, V' n) i2 d- `/ G2 |6 e$ K) E# t* j  report total
( }% |5 ^/ B6 I9 Tend$ P- ?8 g# t( l2 I: G% {' i

1 B# R& u5 o" l# nto grow-grain / Z9 A/ p' @& k5 v
  if (grain-here < max-grain-here)5 z" {0 L, [9 ^# @& |
    [ set grain-here grain-here + num-grain-grown/ F7 K+ F9 Q5 I/ }% ?
      if (grain-here > max-grain-here) 2 S" [* `) F5 a) Z
        [ set grain-here max-grain-here ]' s& s$ W( G% ^* e  T: n: I
      recolor-patch ]
! w: ^" g- c+ v6 Dend9 a) F' C6 ^- o5 `5 e9 |$ J
to harvest/ D* }8 g$ ]. K, |) e
  ask turtles
( u: K' v; {  ]& e* w+ B7 W    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]$ K5 ~& t8 A/ J4 C+ g3 i+ F
  ask turtles4 N* d2 R  T* P
    [ set grain-here 0
: S- H/ q- r) Y3 y" X3 n* T$ U5 I* b      recolor-patch ]  R! Y8 C$ m, f! ^
  
; j* d! T& V# {7 _# p: `end/ q0 w5 a- _" u

# `2 R% }* l* Tto move-eat-age-die  
) M8 p4 \- G* ]" v( q, J: V  fd 1
/ e' j% r& {$ Q; C, V1 J) n0 K  set wealth (wealth - metabolism)
& z. i; X8 x1 n. K; j" @    set age (age + 1)
1 N0 ~( h- O: M  w  if (age >= life-expectancy)
3 O6 {5 k" W& [2 J3 t0 Z$ h    [ set-initial-turtle-vars-age ]
( u, I. Y$ K. g- {; P. [1 s  if (wealth < 0). |  A% d" _* i' @& D& h) h" n* k
    [ set-initial-turtle-vars-wealth ]
, i% w  D* {/ X9 I    / v9 ^6 E. ~8 J  j0 \
end/ {% s" W# s3 f

& ^. ?) R1 _: o1 h, p4 A- e. {2 f
& q7 M# q) S# S  M# [, Qto setup-plots5 L+ D! u, n" a- m/ x
  set-current-plot "Class Plot"
: ?* G$ H! N9 I! Z: _1 `( [  set-plot-y-range 0 num-people
, J3 E" E' U4 y3 O0 i1 k  set-current-plot "Class Histogram"6 w+ z  V9 q/ l$ v# |  t. Q
  set-plot-y-range 0 num-people/ M$ F/ R) c, L6 g& |( i
end
& G* R; E, u! k& _4 z9 P
, J. m3 R, e$ x! d8 C! Rto update-plots# ^: |- D7 ~1 g' d* I
  update-class-plot
1 g3 L" \0 _5 ?4 R  update-class-histogram
' m; ?1 g5 Y" }! |2 ^  update-lorenz-and-gini-plots* C3 m! z; T+ s' o# j9 p( e' ]
end( O- N6 z+ X1 V+ P) e% p; B" R

& _5 c/ ^2 `; M9 K7 ?- f7 jto update-class-plot
! ^  ^& `1 j& m  set-current-plot "Class Plot"
$ f" J" ~& I. D8 m  O2 I* \4 y  set-current-plot-pen "low"
( [: g! j" o* P2 U2 ^/ |9 Q  plot count turtles with [color = red]
) \, N" I0 Y" I( O- _/ k: P  set-current-plot-pen "mid"
" S7 O: A/ c5 v0 Z5 Z' R  plot count turtles with [color = yellow]- u3 M+ \. ?, e0 ?) c' `- H% @
  set-current-plot-pen "up"% A4 X2 L( m' i" E( R) ]
  plot count turtles with [color = green]( e4 S1 i6 X! z( \2 W7 U
end
9 @) y" l5 Y4 S% z9 l( f) C; ?! M' ^
to update-class-histogram* S9 W/ I8 O1 X" p
  set-current-plot "Class Histogram"( g' Y$ ^9 A" ]  F7 _- W
  plot-pen-reset
# G( m5 }' Q9 l0 y. A  set-plot-pen-color red/ X; E7 R2 p9 W" H8 s: m2 G: v
  plot count turtles with [color = red]0 k# M" H9 P6 c0 T
  set-plot-pen-color yellow. y9 U2 k) x0 k; M9 |8 h  S- p
  plot count turtles with [color = yellow]9 D$ ?6 `! U4 J
  set-plot-pen-color green/ G$ e) b) R+ [5 k
  plot count turtles with [color = green]3 y/ P9 u  E8 U+ x( O7 `
end
1 ?: D. \+ O+ U4 r8 F0 dto update-lorenz-and-gini-plots
5 k% }+ I# m/ Z2 F; p2 U; r  set-current-plot "Lorenz Curve"# m) h! P$ c# V; D/ h/ v: ~5 ~
  clear-plot! P8 T& H) W2 {: z, R) F* ^
4 ?) ~1 f6 M0 I: s  d
  set-current-plot-pen "equal") h8 l! x- q, L6 ]
  plot 0  x5 `" [1 G) {- c* W
  plot 1007 ]+ Z1 c" m* U7 H
7 p. }6 j( y" ?- s) A
  set-current-plot-pen "lorenz"
" [9 g/ m, z0 ^( x  set-plot-pen-interval 100 / num-people8 Y& c, x: L4 h3 }7 i
  plot 09 {. T5 r" ?# u! ~' G
. X7 x, n+ v4 w' Z
  let sorted-wealths sort [wealth] of turtles' g4 a. D8 v! C( y0 @
  let total-wealth sum sorted-wealths& i& ?+ K3 n7 P+ c# W# T& \
  let wealth-sum-so-far 0
8 P& V5 S+ o+ f- Z! R: X  let index 0# M! W! m7 o5 H2 K& _8 d6 \
  let gini-index-reserve 08 t8 w% m9 w) @' S4 u

  A9 C/ t2 A# I9 D1 E  repeat num-people [
$ ~" q( N) _, U* x) i    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
- ?7 `5 S5 h7 X' b6 b    plot (wealth-sum-so-far / total-wealth) * 100
8 U5 r% _9 I1 t  }- J2 b    set index (index + 1)
$ h; h: ^5 d$ w  s& G5 i    set gini-index-reserve
* f' K8 ~! O% _( L0 t2 Q* `$ v      gini-index-reserve +, U: k& ]# h+ a7 U
      (index / num-people) -
  V; M$ C; F% m* z8 u      (wealth-sum-so-far / total-wealth)
: x. p# Z" F( ]/ v  ]
4 Q* P0 E2 i) T" [  J8 S
& B, e. z) {) _/ Y  set-current-plot "Gini-Index v. Time"6 \- C: h" s; j) b( b3 ?
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
1 ]( B5 G8 Y1 ^! {end
: A  i6 y- k6 i  ]. {5 Zto-report area-of-equality-triangle
* k" [: S( o. B1 d  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
0 c8 S* m1 z5 l( x' 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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