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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: P7 I, F4 P* i9 @/ Z# |globals. K+ f$ p4 `& b- H9 ?5 H
[
( o0 }. u6 c" {  max-grain    # M; r" w/ \0 k

2 v  d2 I: e* `2 L' I' ~+ \% l]7 s8 e- Q4 H: P- q) _9 \6 E2 s

3 y: W$ g, b% ?) q2 M  Npatches-own& m9 S" s4 h! c, \5 f3 ~# P
[
; @5 |' N+ Z8 J5 c2 q  grain-here      7 J, o/ C3 ~5 j' v7 ?
  max-grain-here  
- F7 h  S' J# `" i) N& w8 k) G]
! K" T6 v. U' n5 H
. A- M' V5 r+ k5 Bturtles-own$ t% G7 j+ g  `% n
[' `) S! S5 l) G9 a7 \: I
  age              
' O! e: l' [( `' z  wealth           V; Y' l. z. a+ e+ C- @: d# Y
  life-expectancy  
, ~9 y8 l# i( d& Q  metabolism      
! A$ K! X& Q- z9 V# _) B/ y  vision
$ Y5 J3 X7 q$ k+ j$ A  inherited         
- a* E/ K% T3 [% ?; U]
0 X# Q' v; q; x7 f$ m/ v, |+ ?3 J9 ^" @6 [
" r3 l1 @3 \, X* a9 U* G- g
to setup% g) a, [0 a* \8 @2 q7 a: c+ v2 X
  ca
" }/ Q+ W3 B1 g. W; @! ]8 v  set max-grain 50
; H$ p  q# M1 f; }  setup-patches
. G0 j  n6 E* P7 _. S+ ^  setup-turtles
# g% k) Q- o1 }" O  setup-plots  s7 M$ H5 L. r! b; ^. Q
  update-plots
1 q# F0 f  ~9 dend. E, @) K( m+ j$ W
to setup-patches! B; D. i/ W* V: `# p5 q
  ask patches) n& h  k5 g& O4 B! R$ F( S$ A6 h* t
    [ set max-grain-here 0
* N5 @8 U: K/ f; F% W5 ]% ?; M  b: ~      if (random-float 100.0) <= percent-best-land* ^% v+ y2 M* n, M9 w- B3 {% c% M
        [ set max-grain-here max-grain4 U' |1 C9 |0 Q
          set grain-here max-grain-here ] ]* j  E$ v2 ]$ i0 ~0 a
  repeat 57 ?; G( P2 q8 r8 D5 W# V7 J
    [ ask patches with [max-grain-here != 0]. P: ^7 h- B( T" |* s9 Z6 Q, A
        [ set grain-here max-grain-here ]
8 V0 j5 R& w2 J) D+ g      diffuse grain-here 0.5 ]
/ i9 d9 r2 [" n- H  repeat 101 \2 h6 V9 z- w( }+ Q0 w0 ^
    [ diffuse grain-here 0.5]          % q8 o# Z0 H) E. C
  ask patches" {3 Q' l$ E! ?
    [ set grain-here floor grain-here    / a. e' U3 p% H; K3 ~
      set max-grain-here grain-here      1 z9 d8 U6 w8 a" d8 I8 Z
      recolor-patch ]7 Z5 S* @9 H; l1 J* W( D& `6 E
end
; J. [. `! n( H& H- C, l& Jto recolor-patch  
* u- w* p0 P" X  set pcolor scale-color sky grain-here 0 max-grain
1 n* b( W  s2 m& y7 Cend
" g& W' i$ m: I$ {to setup-turtles2 U6 K/ Y; [1 E' Z; x
  set-default-shape turtles "person"
1 T8 p, ~. U& O4 y" A0 q# z  crt num-people
9 q% ?$ c: ]  c: c& X# i4 m    [ move-to one-of patches  
  R! w: g8 e' U- G" J0 N5 Q5 N# }6 o; `      set size 1.5  / Q- V3 J% v! s5 Y8 }* O5 M0 a) m
      set-initial-turtle-vars-age
. m; C% @! ~! t: T; ]  @0 i      set-initial-turtle-vars-wealth
( U! i! q/ y6 M- {      set age random life-expectancy ]
. i/ x# y: t2 v7 t& }4 R7 {  recolor-turtles# P$ ?7 _0 B' E5 M
end4 n* \( \! N" _  e3 E: d7 N
$ C3 j- C4 G! `( q% t
to set-initial-turtle-vars-age
9 ?& l+ E8 P8 y3 l! Y7 z$ K3 ^+ k let max-wealth max [wealth] of turtles
; q8 U7 t. V" L8 F/ |    / Z- X8 g. d  {6 C6 |2 f
     ifelse (wealth <= max-wealth / 3)
" J/ y3 N, {9 L        [ set color red
$ G5 t! u# |& Y0 z+ ^5 O' e          set age 0" Z- Y6 N4 L  e; y
          face one-of neighbors4
# `, q# }- k" {* N          set life-expectancy life-expectancy-min +
5 A. D/ ?( u7 `6 G                        random life-expectancy-max
9 |. \9 N  S% L8 V& j0 w          set metabolism random 1 + metabolism-low
" ~7 p2 A8 w( b( t% R          set wealth metabolism + random 30
% l1 x5 p8 f. C) x" b  ~          set vision 1 + random max-vision
/ P5 d0 P1 Z% b8 i: F$ [5 ^             set wealth  wealth +  Wealth-inherited-low ]
+ v7 t$ h4 x4 U! J5 Y( a        [ ifelse (wealth <= (max-wealth * 2 / 3))
* v% Y' q5 R$ E3 A8 ]6 s6 d* ~- M            [ set color yellow
* e" |7 Y# \  ?  Y; d# O3 c              set age 04 q1 J+ ]5 z& S9 P$ m' x$ s
              face one-of neighbors4 $ {/ x, H4 v) _- d
              set life-expectancy life-expectancy-min +3 G1 R* u- @' J0 u6 d: k+ q' ?
                        random life-expectancy-max + 1: o4 q. u# t# U, p* R
              set metabolism  1 + random metabolism-mid
; \6 x, P/ D. ~              set wealth metabolism + random 30) C) f4 ?) s# \  s
              set vision 3 + random max-vision4 o# ?( {/ s/ |1 R: a* C% d
                set wealth  wealth + Wealth-inherited-mid]: J1 d6 Y% R( G- M& q
            [ set color green & F& R, d6 X0 ^+ Y* g# I7 X
              set age 01 ]: W6 r2 l" }. M5 H3 j# L( }+ g
              face one-of neighbors4
! N6 a+ m; l. i* k) h2 ]. G0 y' ?/ ?              set life-expectancy life-expectancy-min +
+ ]- e' O3 q+ f0 U+ B+ Z8 z                        random life-expectancy-max  + 2
, ~+ v, o% U7 f/ c              set metabolism 2 + random metabolism-up
# x( g; m% i8 X5 |9 H3 i              set wealth metabolism + random 30* A6 e/ w5 C' Y  ^
              set vision 3 + random max-vision6 D: n7 y3 I6 _& U9 r( B
              set wealth  wealth + Wealth-inherited-up ] ] " u- u1 X  q: B( `: f1 ~

: s( `0 @% y9 @. U7 Xend
0 t! ]0 T% B( q5 @! J' Dto set-initial-turtle-vars-wealth
" A0 J( S# j# p1 C$ E: V! u let max-wealth max [wealth] of turtles3 _- G  y4 ?4 a, K4 T$ P& n' J
          set age 0
0 x6 U2 E4 a' z; t7 p9 B) B          face one-of neighbors4
7 A( E0 |9 L7 K' L1 e          set life-expectancy life-expectancy-min +
: y2 a- q8 i6 X                        random life-expectancy-max : [5 B( }# t# u0 P  t
          set metabolism 1 + random metabolism-up
) H% J5 ~% A. L4 d( l3 W          set wealth metabolism + random 30$ K( N, P8 M4 K  h
          set vision 1 + random max-vision % s$ K4 ]( y2 Z5 r
end
  _$ g: R" r% l9 T5 u& X+ \* q$ kto redistribution/ J4 x- d( D& u% T9 d; w3 i* c
let max-wealth max [wealth] of turtles
5 I4 O  C) T1 rlet min-wealth min [wealth] of turtles9 ?  G# w) Y  C( `) Y  t1 ?- y
if (wealth <= max-wealth / 3)! Z* U" V' h8 @( \4 n! M) G
[set wealth  wealth + Low-income-protection ]+ {% ^# @- S2 N1 z1 j9 n) K7 }/ G
end
3 r0 S# ]( I* m" M8 w6 C" f          3 a% }3 s8 \+ p* x# i
to recolor-turtles
! w, `& B2 n- P6 R. y/ J" G) x  let max-wealth max [wealth] of turtles; o) S+ g; T3 }1 V' H) P/ M
  ask turtles# v- ?$ a" ?4 k
   [ ifelse (wealth <= max-wealth / 3)
# j6 G3 V8 N  R9 m; K, Z  p        [ set color red ]8 D* j  ?6 A9 C1 K! p
        [ ifelse (wealth <= (max-wealth * 2 / 3))- g0 b, K3 m/ Z) S4 C9 X6 F
            [ set color yellow ]7 M- T) n/ h, d3 a% I) d" n$ D
            [ set color green ] ] ]  J, L; h2 A7 M0 a" p8 Z0 Y( s
ask turtles [ifelse show-wealth?$ J0 h, n0 q! U5 Q& C
    [ set label wealth ]  S+ r: ^" S; Q
    [ set label "" ]]
, b8 G( l/ t: m) R$ u; Vend8 C5 V( o) w) ]' J8 I6 K. a

  f. S8 B, ?6 v% T2 n3 w( g: \to go
0 ^$ P8 V- B# l4 }4 _$ x  ask turtles2 D+ W: n8 r: t$ y/ X. p" r& F
    [ turn-towards-grain ]  0 l: D  C" t# }- U' k( O
  harvest
& J# G& l" j" M8 y  ask turtles
# x1 ~/ i/ }) |" q. g1 w    [ move-eat-age-die ]
5 A) i+ S; Q) i. z( g: f  recolor-turtles
4 Y3 f8 T: X$ ~$ D% V- g  if ticks mod grain-growth-interval = 03 `; ~2 \' h* \# l5 W
    [ ask patches [ grow-grain ] ]9 M  n& L) f" h$ n3 I( ?
   2 y- r! G4 b) Z) t0 y0 B' ?, R
  if ticks mod 11 = 0
  S  p. A1 ~; C$ S+ p  [ask turtles" k( e$ y; N2 D
  [ redistribution ]]7 ~# b' B2 L) t% q6 E
  if ticks mod 5 = 04 @: Z5 c1 X: Z0 v* A. h
   [ask turtles# N8 v% [9 z4 f( C3 |3 j  T2 e" t/ P
  [ visions ]]  a6 w: t6 E! R0 x+ j- `1 d- b
  tick
' d0 {9 U: d. b7 G; F, g& l2 w- m  update-plots" O9 e% T9 D  G8 r  z. k6 A
end
4 l# a+ j- z& P: d% ~1 t  n' T  p( E. kto visions
3 R/ C3 }- u" X set vision vision + 1 0 B- Q+ Z( U2 X: X9 ]
end! R; a+ C# {! T+ B. v' n% k

( g  q9 i4 J( T! l; T) w/ v, s! i* A! @

  }3 s. Q6 O3 {to turn-towards-grain  
* t3 L  e1 X8 ?7 F8 y  set heading 0
- U0 j, d' i6 a3 |' i  let best-direction 0! ~. L8 m8 \/ s& B
  let best-amount grain-ahead4 X. u( j" r! g5 V5 g1 R
  set heading 90  M, G1 z8 L2 @
  if (grain-ahead > best-amount)
! y2 _( u- m- @# @- F) x    [ set best-direction 90  R; I( Z+ J  M. ]! K3 _4 x
      set best-amount grain-ahead ]
  Q' A' G! b- Z/ W" E! Q: i  set heading 180
* E% g+ d' p# Y3 v" n  if (grain-ahead > best-amount)
# M  G4 B7 U+ ~9 x8 s! f    [ set best-direction 180
5 T0 `, a4 s( i' ]0 x- S      set best-amount grain-ahead ]+ M' H6 b1 Y3 V! ~# t9 Y% \, N
  set heading 270
. ~* q* Y/ g% o5 m+ M1 m5 m  if (grain-ahead > best-amount)$ \5 u( ]7 ^( L. z
    [ set best-direction 2705 P% t* u# ]0 D- L( O, Z& b# k
      set best-amount grain-ahead ]
2 s4 ~1 N6 ^. f/ [0 b7 i2 Q) T. Q  set heading best-direction9 W7 \" m( E7 @; O4 {
end7 Q2 {+ I2 m7 c5 g7 J3 N. C

& t) l' K. Y2 x: U% A
" L" A6 r* X& f  hto-report grain-ahead  
7 l) I3 {2 G( `: _8 l  X. |6 `  let total 0
3 v$ {' J. U5 }9 ]1 r2 Q7 }  M  let how-far 1" ^6 R8 A) ^/ {% {  X
  repeat vision+ y, j* t1 h0 c8 y5 C+ H
    [ set total total + [grain-here] of patch-ahead how-far) w% F! H) B; P+ @3 [
      set how-far how-far + 1 ]
' U6 I4 `* h4 [2 O* ]( N. a* Z  report total
5 v3 c1 i% P) e/ yend; f! Q. f1 _( e6 Z% p. C% A
8 G* ]# e, m0 j- `( q+ b
to grow-grain
  s/ U9 m& O# i/ Q9 F+ V! }9 J  V% @  if (grain-here < max-grain-here)& \  R9 ?5 i! {* h) B- A% x
    [ set grain-here grain-here + num-grain-grown/ k# p& t1 @8 Z$ ?1 o% L$ ^
      if (grain-here > max-grain-here)
! l3 ]6 Z$ P% P$ I& M- {) M        [ set grain-here max-grain-here ]! Y+ |4 z) z! H# L! b2 E  B3 h- M
      recolor-patch ]
# [* |; j2 N) X  ?) r$ P7 m: Gend
3 x7 o0 e1 D0 U" }7 O5 Vto harvest
% P1 s) S0 A2 f/ q' p: C  H' X/ L  ask turtles
, Y: |8 p( A" B( n6 i: j3 Q1 E7 \    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]. R( ^6 T" a1 r0 G% ?$ @3 F( B
  ask turtles# q- p1 M: b9 y  x. q% M7 w
    [ set grain-here 0
8 `5 E6 O; o9 |" l  U: I0 |      recolor-patch ]
6 s2 k- y0 W) V% _  G  w2 @  p. w3 _  
* V/ e( S% o# g7 j9 fend
9 F: S8 E' v# Y+ C0 }, m
5 H) L4 `# T' I1 A9 f' vto move-eat-age-die  ; R( h; ]; x# N
  fd 16 J. l$ z& h! O0 m- W  I) E
  set wealth (wealth - metabolism)
* K" f# |1 N0 P    set age (age + 1)
0 @+ y1 t4 Y' f8 x% P2 O  if (age >= life-expectancy)
3 }9 u* P+ s' ?    [ set-initial-turtle-vars-age ]
; ^6 i/ d/ A, s9 h1 `& Z  if (wealth < 0)
4 Q! c" s! q1 `( d. s- P    [ set-initial-turtle-vars-wealth ]/ f, g2 g+ H* q7 R+ b: r; e
    7 j! r+ s' `$ {% p
end
5 P0 }# X: H  S  B" C( U$ t6 S1 M/ ~' D$ R% ]7 Q) V% Q  [
8 i3 v: G3 m7 x5 G, Z$ M+ n# |/ e
to setup-plots
" }) [6 l) z9 Z) L  H  set-current-plot "Class Plot"' O* _# u) U; U7 Q# x; o
  set-plot-y-range 0 num-people8 G! B/ L6 t# a! N
  set-current-plot "Class Histogram"
1 i0 c" ^! ~4 \8 ?$ T4 z: B7 D/ Y  set-plot-y-range 0 num-people
! E" ?: C7 l8 s4 \: w: Tend
! ~7 B" K% X/ H2 A, x" L% s( d$ M0 U) |! k9 W, U
to update-plots! l) [& a; q$ y( {
  update-class-plot
6 ]1 r- G+ a* t9 W/ h8 Q( n  update-class-histogram
# Z. O; J! A. w$ c7 L  update-lorenz-and-gini-plots$ V% m- ^6 b( Y. c  l- h# P4 G. C
end4 k6 j  D( k. i' [

5 v3 V& t8 e! M& ]( L5 Kto update-class-plot
: a0 }$ W5 G8 _4 s' j/ b$ U  set-current-plot "Class Plot". a/ a# L& o& i# F
  set-current-plot-pen "low"
' b0 D6 R3 ?8 p' J2 p: a1 Q& E2 |, N  plot count turtles with [color = red]. ?' T" E: z# Q: F2 ^9 X- a! [9 d
  set-current-plot-pen "mid"
! B1 r! w, E: k- V$ ?  plot count turtles with [color = yellow]
, G/ ~. ~! M/ _) n7 J  set-current-plot-pen "up"4 _, ?! P& K8 N  c2 G
  plot count turtles with [color = green]
. x& b9 O% ]" m4 _* F3 U; Cend
7 |2 Z3 ]$ |$ g, [, s4 J; ?
3 Y" m# w2 V3 G$ O, fto update-class-histogram
/ {$ P9 b- C, L3 H+ M! A! p" c% p  set-current-plot "Class Histogram"- U# C& d. n5 o
  plot-pen-reset
$ q1 K! J* E3 j' N& ^& @, }6 @  set-plot-pen-color red
4 y0 b1 H3 A3 I  plot count turtles with [color = red]; {9 q# i; k1 t. w
  set-plot-pen-color yellow$ f+ P5 @. V( K& d8 K; g/ ?
  plot count turtles with [color = yellow]
9 n" N/ j+ I1 M% n; c8 t9 p' L" z- t  set-plot-pen-color green
5 m+ B$ c. X) H* W( C7 t  plot count turtles with [color = green]
! |  L: W9 J" F1 Aend
. \4 f! L  U; Z' x' H: |( }1 |to update-lorenz-and-gini-plots
6 h& ~; e# b0 U  set-current-plot "Lorenz Curve"& @9 Z6 h, X, T9 u) e+ g! r
  clear-plot' v% C% J3 h+ M  E2 S
5 z$ D+ ^* N5 _' Y1 w
  set-current-plot-pen "equal". d$ @* n1 m+ m" p
  plot 0
1 u) X1 C2 W: ~6 k  plot 100/ ^# V2 B# Z* V$ ^

* a% F4 |* B) M/ ?; F, k) @* X3 E7 a  set-current-plot-pen "lorenz"
/ F% u' w8 B: k  set-plot-pen-interval 100 / num-people
9 h6 |: w/ t! g  o" S0 S  a  plot 0
$ C0 C0 b( A1 k& i/ i: f) _4 h! c6 C8 {  c0 A" W: v/ W/ m
  let sorted-wealths sort [wealth] of turtles
/ `% V: Z3 ?# I; g  let total-wealth sum sorted-wealths
2 s/ G4 O7 b; O4 J' H  let wealth-sum-so-far 09 a9 @# F4 B( }, W' c% G: C
  let index 0
. ]% C* }# v# A% l& L  let gini-index-reserve 0& P2 i5 Q! c1 G+ c* c
. x# y; r( M! ^" F6 D4 u
  repeat num-people [
- i, y$ j% c7 q1 ?4 K    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
: N7 O4 ~7 H/ l8 d) r, O. S7 w    plot (wealth-sum-so-far / total-wealth) * 1004 ^# Y; v7 G/ }$ h1 y# G2 ^- w
    set index (index + 1)
# N' U1 d3 u% X3 z0 X+ D1 z# A7 _    set gini-index-reserve5 P$ b5 b; }/ C9 W' M% c1 l1 o& _
      gini-index-reserve +* x# s" d. Y4 I8 e
      (index / num-people) -
/ w6 r- j4 l1 P% z: E' b, u      (wealth-sum-so-far / total-wealth)
) Q( r- n4 K# u7 ]( ?  ]
$ A  `# P4 ^. h$ P6 D# g% K* U, O) C9 u9 c
  set-current-plot "Gini-Index v. Time"+ w4 R4 a& k+ O, t+ D% m
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
8 z* D+ N# Q  |+ D" H& z: Mend2 U' a+ n& F; Y
to-report area-of-equality-triangle
! X) j0 H# Q/ O* `) J9 o  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
: x- W0 F7 U- c* _2 H# m% M1 t) Rend
 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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