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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! J0 O4 t5 u/ M; ~" y8 m$ w
globals
8 q5 O" t3 v- R3 z) e[  @3 N6 h5 H/ |' ?' a, m2 d2 e: G
  max-grain   
$ @7 e/ v9 I  d
6 j4 P8 @" T6 x3 `" l]/ ?" v5 m2 M1 |& G

- S: G% y" n, v! Q: v9 I% ?patches-own
9 T1 s4 K& h) |* v" P[3 t' A+ Y) t7 C: B. y
  grain-here      9 K. c3 d) g6 m" o
  max-grain-here  0 p4 f. \7 D- W/ G/ x4 ~) A
]  f/ c7 x9 w1 h) c% J) g
) B; q- d+ `* e$ s& V
turtles-own; p% J. c1 P2 [8 `$ u  |- R
[/ B4 D6 e4 h6 \4 Y) @
  age              
1 \5 X" [) A# S1 M  wealth         
4 L- [; Z* Q, n1 Y& V& h  life-expectancy  
, `( J" G' q. v. s* p# c  metabolism      
( \* n8 ]( f9 p9 i/ o5 T  vision
( P* `/ Y- W0 F+ b5 m3 Q  inherited         
- j! a& f1 `  H2 l  W; ?4 Z]
9 N; [: u/ ^- A
, L9 L* }) }& V) d) `) q/ J; [1 O
" O8 C, y* g* d: g: v  m2 Sto setup! a9 g' b2 D. f8 Y8 w1 q% q8 `
  ca
$ C3 n! C# T- ?, p, K) W  set max-grain 50; ?/ A1 K7 @  b( j4 _: R  I
  setup-patches4 A/ x1 y4 [# E; }0 ^& f$ x7 x9 s
  setup-turtles/ a5 `$ _0 ?, w8 y) n+ L" F
  setup-plots
/ Z( M* {5 o$ t6 j1 c8 G  update-plots
3 v. H9 O* Q" Z: C3 P1 _, Z2 ]9 s( A& s" q3 dend
# V7 K! E2 W' p/ \to setup-patches& Z6 p, u9 I, d0 Q9 b/ E
  ask patches
8 x' r" s& R; D$ }# y9 `    [ set max-grain-here 0% c2 n# a" a0 B0 ]& `3 I" X( i4 H
      if (random-float 100.0) <= percent-best-land
, z/ X6 N$ g0 M- H: t8 X0 y* I# E/ \        [ set max-grain-here max-grain
$ t# d( z2 S4 G, ~          set grain-here max-grain-here ] ]/ @0 K' i# w" A5 s' f! p  X
  repeat 5
2 |4 B+ F. b0 L- D% s    [ ask patches with [max-grain-here != 0]
8 j. q3 e. E# k& u) o        [ set grain-here max-grain-here ]
* B) u2 v: Q2 n% T, h      diffuse grain-here 0.5 ]
* T) u# ^* K! x  repeat 107 \. m7 R+ W  h! Y- F6 f& M
    [ diffuse grain-here 0.5]         
2 e- Z4 ?4 f9 W/ d5 z: k  ask patches
: @" O& t! K. V/ w  S" f, e5 H- [8 ]" W    [ set grain-here floor grain-here   
7 B) {9 F& g) P0 t: v& b      set max-grain-here grain-here      2 A* V- A- W$ C/ i+ X
      recolor-patch ]( [2 d" Z: L, l+ M/ C* \. G
end6 o0 O8 Q- t* `& w) F; i3 }
to recolor-patch  
  H9 g0 r" u: @& d  set pcolor scale-color sky grain-here 0 max-grain
; n2 H& X# X) K! J8 v( j& yend6 L+ R! j, X0 Q$ o# R5 z7 ?
to setup-turtles0 x4 o4 E! c# W, O% `
  set-default-shape turtles "person"
# X* l- P, p9 E# ]- f2 ]  crt num-people4 N3 L8 [- Q0 F1 c" B9 g
    [ move-to one-of patches  ) h! [# J* d! \' c) _
      set size 1.5  
) D3 H( {/ c1 B      set-initial-turtle-vars-age/ a7 J  E0 k# _3 \3 n
      set-initial-turtle-vars-wealth6 O% R% d- h' m3 h1 h$ X4 q2 @
      set age random life-expectancy ]
! ]2 i4 c, o/ y& I  recolor-turtles
* F% l( t. v/ \3 c) o0 y5 D" \* zend
9 q$ C! Q- l' W! v+ T% F4 A7 Y( t" o) e0 h& L( N
to set-initial-turtle-vars-age; A3 Y. l* P' H8 U* H0 i
let max-wealth max [wealth] of turtles
) i, \" y& y* o" h7 |   
0 h  J& ?; X" m7 Z( K2 K- ~     ifelse (wealth <= max-wealth / 3)
2 c1 g8 M4 j* Q7 |% x! e- `        [ set color red 7 m& {( O6 e# R  ^. C8 K2 K
          set age 0( ^6 y3 D! b( H( {5 U
          face one-of neighbors4
. n5 e& b3 Q4 \0 O          set life-expectancy life-expectancy-min +
+ F; q0 I5 ]& m; t) J$ E  d                        random life-expectancy-max
1 j+ _: S! T# |" t7 u8 J' A5 I          set metabolism random 1 + metabolism-low
8 J( Z8 U# w2 |          set wealth metabolism + random 30
1 b7 L$ Y& ?: v/ X4 v          set vision 1 + random max-vision, Z# V& v% q( a( g/ {' X* t1 D4 v
             set wealth  wealth +  Wealth-inherited-low ]0 q' V3 v1 l/ H# N4 O/ i! j
        [ ifelse (wealth <= (max-wealth * 2 / 3))( _& h. a9 ?+ t( p
            [ set color yellow
- [7 M7 D0 P2 f              set age 00 @1 S! Z8 c) w3 m* z) H  O9 x
              face one-of neighbors4 ) H+ l4 v) V  i, c3 m
              set life-expectancy life-expectancy-min +
% _% r* F$ _1 `4 |8 f. F                        random life-expectancy-max + 1
* v4 k; P7 J# k2 j) R" H              set metabolism  1 + random metabolism-mid
$ \# B& Y. O/ g6 n* Q/ D              set wealth metabolism + random 30
) r5 [: ~+ t& k, f( U              set vision 3 + random max-vision
( Y8 @; C( O, E, p4 C                set wealth  wealth + Wealth-inherited-mid]
' m6 O, w: S. n$ ]5 Z. b            [ set color green : W, N5 s/ Q2 @  p
              set age 0
; x& A: X6 Z& t% c7 D              face one-of neighbors4 0 d# {4 ]" `; j8 q
              set life-expectancy life-expectancy-min +- \$ h' E9 U- g4 O. |' w6 i8 X
                        random life-expectancy-max  + 2
/ g' q& }  }4 n5 m1 l, Y) l# F. d              set metabolism 2 + random metabolism-up
. }/ R& Z3 `% F$ [  C              set wealth metabolism + random 303 ?3 x7 |1 @) N- `3 J( ^
              set vision 3 + random max-vision
  g+ D) V! N- ?, [, j% T* \              set wealth  wealth + Wealth-inherited-up ] ]
& c" j9 C# I7 {" s( m  j * t! k1 p$ U5 a2 ^; d0 B# q, k# _
end
8 u" {& _6 n2 x: Sto set-initial-turtle-vars-wealth
' L$ G) f" i' q, v, l, O9 g let max-wealth max [wealth] of turtles
1 h0 s0 A5 x0 r: z  q. N          set age 0
3 ^: b" |7 M' |$ Y' r' }9 x! L, c1 b          face one-of neighbors4
7 v9 k9 H' w* `- I$ w) o          set life-expectancy life-expectancy-min +9 g" J/ B- H" a4 H/ N% X2 F
                        random life-expectancy-max
7 d, a- D% y; V! `9 ?" G          set metabolism 1 + random metabolism-up
/ f& E5 I2 S# U( D# N4 a1 ]          set wealth metabolism + random 30# y: V" }& |; c4 {' V3 ~/ N7 A$ F; W4 g
          set vision 1 + random max-vision
/ H4 M4 j' B& F$ _end. |3 ^' a; T& M
to redistribution
) v2 B' q* F+ G& C! g) flet max-wealth max [wealth] of turtles
$ b+ c5 b, i8 X2 [let min-wealth min [wealth] of turtles
) o  Q5 I: o. Qif (wealth <= max-wealth / 3)- [- S+ S' E" j
[set wealth  wealth + Low-income-protection ]3 p* R8 p4 M+ @3 m1 i2 ?: d8 u; ?! n& Y  f3 G
end
* U" _8 A! U3 V         
( w  S0 ?, C1 e. O  T- L! ?to recolor-turtles9 t4 k6 ]9 f" K: F
  let max-wealth max [wealth] of turtles) h" g# k2 t$ |1 D' ~
  ask turtles
, u/ Y% i- C: m" p   [ ifelse (wealth <= max-wealth / 3)
$ b6 p9 ~  q( o' Q: T        [ set color red ]* ?2 S9 m) @6 W& `* L
        [ ifelse (wealth <= (max-wealth * 2 / 3))5 Q. p6 G7 w6 _& O4 u, @, e9 Q( B
            [ set color yellow ]
% j- |0 `  ^* q( j& z' P+ ~$ H            [ set color green ] ] ]
+ M: g. {' V# u ask turtles [ifelse show-wealth?0 V; N6 l7 o5 F' U8 G/ k% R
    [ set label wealth ]/ j5 B2 M3 Y1 }6 p& c  ?( V2 _
    [ set label "" ]]
8 t/ L1 I) T0 r% l& f+ c  Dend
$ d1 d/ K6 Y0 t' G9 T0 {
" N+ t8 Y9 T9 ^9 Z1 G  p7 Yto go
5 x: H6 I( A' O2 }( d  ask turtles
7 c8 R8 k% w. J: t: N3 `    [ turn-towards-grain ]  8 p/ ~0 k0 M9 n
  harvest
. {- \+ y3 J* j* ?  ask turtles. g9 g9 F" a) ?( O: Y( w
    [ move-eat-age-die ]. k* s5 H: r# t  l
  recolor-turtles
6 b; [! q( K1 d; m+ C  if ticks mod grain-growth-interval = 05 k' I+ e# ~+ g$ a& y
    [ ask patches [ grow-grain ] ]; n+ K3 j5 A! v
   
* |. X% h2 @2 F! e. @  if ticks mod 11 = 01 q; A8 X( j7 X
  [ask turtles9 T/ r  Q" c9 |* y4 O: g. N
  [ redistribution ]]8 K; a1 \' }9 _" X
  if ticks mod 5 = 0
; a5 j8 C/ g8 x: T   [ask turtles
9 `8 a( P) K/ t) M  W/ Q( ^$ u5 J: H  [ visions ]]8 v2 `. t' G9 r: }% D
  tick, ^3 Z0 S$ E" I! @
  update-plots
& ^: J/ |: D& I3 U( fend/ c3 ^# D$ V4 S- L) J- O' _. `8 P
to visions
# X9 P) d8 ]$ v set vision vision + 1 3 K: ?5 b; q2 w/ ]% H$ W8 D9 m
end
, x! z8 p, W' z! k! m' Z4 r. a6 S. }/ f9 ]; n

; d. [1 j1 Q6 [
( o2 T8 a. i3 G( jto turn-towards-grain  : Y+ ]* H- x  J/ B# z2 F
  set heading 0! `  j  l- L% A9 h! A) l( P- g" ~
  let best-direction 0* c; H7 }/ C1 p; [5 C# w
  let best-amount grain-ahead
+ n- F5 i# B, r2 [* @, F) U  set heading 900 Q0 x1 E# m1 L' V/ d
  if (grain-ahead > best-amount)
# u+ }9 e4 c; @% {+ w6 _    [ set best-direction 90
+ O" n* R5 v4 B; I% c2 K      set best-amount grain-ahead ]& t) ]4 I' u- Z0 {" R# e
  set heading 180! E6 Z$ ~3 K+ K" ]
  if (grain-ahead > best-amount)7 c  _1 K- L( Y
    [ set best-direction 1806 D6 \. @( a! C; O3 G# a* S$ a
      set best-amount grain-ahead ]# o: l& a: H/ x, }
  set heading 270. E8 c: ~+ F6 \+ o9 C% t
  if (grain-ahead > best-amount)
; `6 F  l7 l  F7 F    [ set best-direction 270" {1 B7 l& _" ]  ?: g/ G
      set best-amount grain-ahead ]
$ o# D# u- E% t3 g% \, ]" T  set heading best-direction$ z" n% y# w0 K1 u
end
: J/ f$ j4 X# C- T
7 O' N  r$ H* e5 M" Y; S, _' K
; X+ d0 O6 D# Q/ K4 R1 fto-report grain-ahead  $ ], Z1 L  s- M% ?
  let total 09 [) d# X1 S6 Z& g
  let how-far 1
/ l0 {$ T2 y& k) a& N. l# d0 G  repeat vision
% R, Y4 s1 R3 i    [ set total total + [grain-here] of patch-ahead how-far
( s) p+ V9 p6 H9 |7 A      set how-far how-far + 1 ]
9 d% K, b' m% C% ]( o2 \( V3 N  report total
- P) s, b6 h5 L% Cend) N% \! R3 \" w6 i
% e' _! G9 e3 S8 e
to grow-grain + z4 M2 a2 R0 T% [2 @. G
  if (grain-here < max-grain-here)
* L! l5 d9 h% r7 R- |. F! F2 D    [ set grain-here grain-here + num-grain-grown+ Z. ?$ W, t( \# S. I
      if (grain-here > max-grain-here) - y0 C1 ^: C3 x- ]8 _; E3 q8 i
        [ set grain-here max-grain-here ]
' L& B% G$ s2 {5 N+ G3 X1 t' F      recolor-patch ]. N# _# j! G% U0 I1 r& l9 c
end7 }/ ^+ ^+ {5 O& r) f% U# c) O  a, X
to harvest
6 Y$ M3 K* S& q( O9 H. ^  ask turtles
* i5 V: E0 r1 _+ Q5 R. p# I, e    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
: ?: Y# [% p; ^8 q  ask turtles' m5 f9 Q1 x' s- M/ n3 r* I3 \- @
    [ set grain-here 0! K$ Q3 Z  [- r; Z
      recolor-patch ]
4 O" O# ?9 h; g% t' ~1 [; |9 }* l$ Q  
7 N+ `, e$ A4 cend
; m" H( P8 \* C0 T+ M$ B; A' K+ m0 A/ I, H0 n, b
to move-eat-age-die  
' j2 ~7 C4 g6 t5 S' }  fd 1
0 K- x" H3 z. t$ Z8 ^$ h: Z0 j9 ^, Y. e7 z  set wealth (wealth - metabolism)
- L" F, Z  Y) T  S; I/ d, ?    set age (age + 1)# x' [4 X# P# |6 h" {+ ]
  if (age >= life-expectancy)
3 o9 O+ q. }* w  _7 L" U    [ set-initial-turtle-vars-age ]% j( H1 d" v* D9 W5 f
  if (wealth < 0)& J2 L: g! o1 F) c# M+ o% z
    [ set-initial-turtle-vars-wealth ]. g+ ~9 L/ s. |+ `( C- I+ _. H
    ! i  g, c$ O  U1 v
end
$ i0 J0 a3 R$ @/ g: O/ S8 R3 W: `- [9 S( v+ \
8 X5 Z$ m" Q# }% R
to setup-plots( u- ]( ~( h. F4 `* j( Z* _
  set-current-plot "Class Plot"
# B( ~. e0 `0 r/ G* ~  set-plot-y-range 0 num-people# r0 L9 y* |3 J5 X* l: m# w
  set-current-plot "Class Histogram"
6 ^+ N1 ?- o- m  set-plot-y-range 0 num-people
0 n3 V/ `  ?0 B% e7 kend' _  P/ n3 v6 y- |6 H" U

2 C' l  q& p: Y+ a! c6 \/ h& O, yto update-plots
( q. a4 @6 M9 [! W4 G/ T, i- Y8 P  update-class-plot
" r7 H1 l+ H. B. C# e5 R3 }; A  update-class-histogram- o, r4 P/ Z$ A! p( R& |$ ]
  update-lorenz-and-gini-plots
4 d$ l+ k4 _3 M+ B: X& Jend4 Q* P. }9 k* V5 G$ y# [# E
  v/ k  q& C* o& z* n9 w  t2 a  R! O
to update-class-plot; K! h* j: W. v. Y, S
  set-current-plot "Class Plot"
. J+ }! b% R: |7 M9 o7 [  set-current-plot-pen "low"
4 x9 e" U. W4 j4 M' g  plot count turtles with [color = red]
& T! x: o6 a& R  set-current-plot-pen "mid"# r! t+ l9 `, I7 Y2 }' p
  plot count turtles with [color = yellow]" ]' m4 p) f8 }# c- i7 ~7 r  u
  set-current-plot-pen "up"  ~% z; U5 _2 }8 Y8 s& e1 W: m
  plot count turtles with [color = green]
0 E* y( e7 j2 L% P+ iend
9 t8 O. s" P+ `6 S- I
5 X+ ]4 q) x2 D9 ?) g2 H8 Fto update-class-histogram1 Q7 C' H/ l( x
  set-current-plot "Class Histogram"
# j* T! d" [5 q. R* V  plot-pen-reset* T0 D) J( \+ u( `5 ]
  set-plot-pen-color red( P6 K* f/ P  W8 y4 Q
  plot count turtles with [color = red]0 ?1 i; t8 W9 A8 X
  set-plot-pen-color yellow
4 J0 U' s3 e) x' A* e  plot count turtles with [color = yellow]
/ d# ?0 j6 \% X- A( C  set-plot-pen-color green
# Q$ l0 R% w4 u9 I7 p6 [1 O  }8 j  plot count turtles with [color = green]1 R6 K! p1 `, N, s
end& b3 [. ^% q8 d* ]2 ~: I* l
to update-lorenz-and-gini-plots( M- N8 T; |5 L; V- {  S2 M( L
  set-current-plot "Lorenz Curve"8 ^" N0 z: v% X
  clear-plot9 }4 P: `8 _/ N* I( a; [* c' I- O; B

8 y( v) Y: Z4 X/ e' B1 {: u  set-current-plot-pen "equal"
5 e) W& \# \' e# |+ g/ w& y  plot 0
: P& I8 {4 V2 G: K  y3 `( ]  plot 100
+ Z; `, ]- d+ _: Y* J
( G+ \, s; h' y: M1 m  set-current-plot-pen "lorenz"
! J6 H$ e7 P6 A& R  set-plot-pen-interval 100 / num-people
+ s$ c! g- y/ I# B  plot 0; U  B# G+ q& N- V

& p5 q% k3 Y* @2 L, f/ ]  let sorted-wealths sort [wealth] of turtles5 E4 C. |( j$ s- H, F2 s
  let total-wealth sum sorted-wealths
/ e# k, t- r2 Y/ S  let wealth-sum-so-far 0
# _: P+ @0 `) \" E  a  let index 0
9 g! h9 _. f1 K2 ~, p' Q7 G9 I+ `6 a  let gini-index-reserve 0
: i  s2 o* o& z) ~7 m. q
6 q# d0 q. e+ h1 ]6 g6 b" ?  repeat num-people [( ]  {" N1 [6 _' _% e  A
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)! n! [8 }0 l8 s! l2 a7 i! ]6 ?5 @
    plot (wealth-sum-so-far / total-wealth) * 100! N* g; s4 Z2 Q" S' H
    set index (index + 1)# A! V, o8 x; E5 j& t4 D
    set gini-index-reserve8 U' c2 d+ @' D$ J5 [+ f( Y1 C4 a
      gini-index-reserve +
. R4 Q. s9 K  o: g. r* y8 I3 F      (index / num-people) -0 u& d" H/ V( T+ q
      (wealth-sum-so-far / total-wealth)
& d9 x( Y: Q9 w6 E6 J. X, B  ]
% G1 S6 P8 q1 x3 A. W  x+ q$ L2 }6 A  R
  set-current-plot "Gini-Index v. Time"
) r8 k2 ?; i& d8 }1 P! T  plot (gini-index-reserve / num-people) / area-of-equality-triangle
4 A. y4 y( b$ H% `end
' g1 l3 I8 J+ Z% h( M6 [to-report area-of-equality-triangle+ H+ \- l3 s- P% j) G1 W
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)) r* |# P" l; k9 v( i2 h
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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