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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
( `+ x& E. [) o) Mglobals& H6 Q& C  p+ V* }
[
9 U7 a* D1 o7 F* ]) D4 ~  max-grain   
* v# L2 \* ^9 W' }& E4 I  |6 M6 v; f. a5 [2 M8 \
]
) \1 B5 E4 w/ s& h& ^4 k  ?3 w
1 G" ?( o6 i- j5 Upatches-own
4 c, p& M7 J$ \3 M/ [2 B7 V[
2 b9 A5 u% @, @0 T; E1 }# u  grain-here      
: s/ z5 B4 L5 G9 D! z3 X  max-grain-here  
3 S: u( M4 n  V1 u: B& x& d$ ^1 P]
7 s4 N4 @6 ?+ E  G5 R& c* p2 h6 ^# j  Y; _0 B2 w' u
turtles-own2 G! e  ^' F/ S
[9 n, o, k" t. W
  age              " R$ W1 Q4 X( P3 y- ]6 w0 N1 @* _: W
  wealth         
4 ~3 u! b4 G# Y# J. }- ^2 e  life-expectancy  9 l" A/ @1 x5 U6 o1 v
  metabolism       & q3 E5 ]' G1 r5 Z0 Q+ m
  vision1 V. P) P% h: W/ O% W: ]* b
  inherited         
8 p( B% R) y3 I/ j  B]3 H6 q( R: R% ]- \: i7 R( [
, U' E2 z: q) B: j

. ~7 \& |& o2 F% @/ d1 k9 Zto setup7 v4 S! z) V/ a+ ?
  ca
$ {) L! }3 H4 h5 i( Q; {/ J$ v  set max-grain 50) X, @: C  z* g. \) b0 k1 b
  setup-patches
9 M; T& G  C! a- |, y: B7 f1 G  setup-turtles
6 H* y4 \' K( r' G$ U3 X  setup-plots4 T6 @$ h% Z8 J$ g* M( d
  update-plots
+ o$ b2 j2 m6 V8 G! wend
8 U" O9 K( J- y8 Kto setup-patches
4 K% n1 H  a$ b% O8 W  ask patches
8 m: D& x" ?" p# l    [ set max-grain-here 0, x- p* B8 }# i& h2 l* c
      if (random-float 100.0) <= percent-best-land. N# |7 p9 {4 O: Z, g  h
        [ set max-grain-here max-grain
( h, N7 O9 F0 g  r          set grain-here max-grain-here ] ]
6 s* m6 S6 I9 ~$ d# l4 g  repeat 5
$ T7 L+ l2 A5 M, Z' d    [ ask patches with [max-grain-here != 0]/ v; j7 Y; t9 j) r6 S! w
        [ set grain-here max-grain-here ]9 V6 w7 g. N' _$ e
      diffuse grain-here 0.5 ]; C, o7 ~! S7 r
  repeat 106 T8 @, q  H/ s6 _5 u# W/ t( I9 q
    [ diffuse grain-here 0.5]          # @3 x8 N1 Z: ~" g. Y9 H8 r
  ask patches
( V1 a4 L9 T, B& h2 m6 z    [ set grain-here floor grain-here   
: Y: z5 k2 }+ b# t0 w$ A& V      set max-grain-here grain-here      7 A/ n0 ]9 f  M/ S% t
      recolor-patch ]% V) i) x) z% O( }' o% g3 e* |1 E2 F
end& }% h# _& Y9 {+ K! Q# ]6 v" p" u
to recolor-patch  
  G& X# Q( y  `# U+ e  set pcolor scale-color sky grain-here 0 max-grain
2 N; H% O$ `/ B6 kend% u6 A! g+ F1 s' w2 ]9 c. ^
to setup-turtles
5 c, ]' E. l. r  x6 O  set-default-shape turtles "person"- F4 ^0 V4 e4 n! h1 U( Q" h
  crt num-people$ z0 ^# K4 P, \7 T# m+ r% }
    [ move-to one-of patches  
- }% p2 o: w+ V      set size 1.5  
3 H( D( g6 H1 b* T      set-initial-turtle-vars-age
' j9 P( I/ ^0 C% I. s8 K      set-initial-turtle-vars-wealth4 |% d7 t) \2 g
      set age random life-expectancy ]% D& p: L& L9 v! y
  recolor-turtles
! G; u! z- s  a, h  e" Y2 N" wend+ _4 W7 W) q6 ?8 I

  o, ~( ^( D- @+ e2 R* X% R. cto set-initial-turtle-vars-age( m/ B% h) s: ^  B! s
let max-wealth max [wealth] of turtles
/ B4 b" G0 r3 w. ?* D/ e    ) z9 G% w% ?, ^  `8 N% \  \
     ifelse (wealth <= max-wealth / 3)
1 i' ^; B* v$ ]" X        [ set color red & W' d& ~- v" B  O' W
          set age 0& ?: f( ^# Z  _* G6 Y
          face one-of neighbors4
; I4 E) k+ p# C2 S, j          set life-expectancy life-expectancy-min +) K" {# }* W7 v' P. j  I# E
                        random life-expectancy-max & g7 h" J: O1 X, t
          set metabolism random 1 + metabolism-low
( @9 e. Y3 z' B' y5 e9 W8 R' q5 h          set wealth metabolism + random 30" f4 Z; I& v' \4 N3 D; I2 p
          set vision 1 + random max-vision; S5 _9 S  T! z5 D/ `
             set wealth  wealth +  Wealth-inherited-low ]
: o! U. A) ^) j5 w        [ ifelse (wealth <= (max-wealth * 2 / 3))
: k1 @  t+ x' b* D" a            [ set color yellow
( {( v: ?  ~/ b9 x              set age 0. f. r! V+ r5 W3 i
              face one-of neighbors4
7 Q9 J- m  J$ V! W- D( ]- E6 r              set life-expectancy life-expectancy-min +
5 P5 s! G3 z7 \: p& g                        random life-expectancy-max + 1
1 K+ h% g) U; I  h8 [              set metabolism  1 + random metabolism-mid+ d& I* u/ f; P$ a  p
              set wealth metabolism + random 309 o9 {* j3 m6 v$ q! r) A
              set vision 3 + random max-vision, K5 x. m8 _7 W/ }
                set wealth  wealth + Wealth-inherited-mid]
& d! m) B6 Z. Y' n            [ set color green
' ]' Y) Z# I  T$ _- |              set age 0
6 c" h# N3 h) z- E6 i3 S4 x2 f              face one-of neighbors4   q9 T' i% N! }' u4 p. e% P  e+ d& |0 m. v
              set life-expectancy life-expectancy-min +
* X% G9 b+ ~9 P+ m) R                        random life-expectancy-max  + 2
8 I% h. b0 Z0 a; [' u              set metabolism 2 + random metabolism-up/ I; h- p7 A2 v" `8 _
              set wealth metabolism + random 30$ y5 u4 m% F" K6 i, {/ A
              set vision 3 + random max-vision5 l" {1 \' J/ Z& k" x
              set wealth  wealth + Wealth-inherited-up ] ] : d- h# P4 O* `! L) S0 }
/ m; N# }/ k; A8 L7 m0 c
end7 U( a3 x+ J6 \. |, ]; ]
to set-initial-turtle-vars-wealth) k8 L! r% ?6 C$ r3 z/ R
let max-wealth max [wealth] of turtles
& F( ]7 j1 Y- s( d) f: Z$ L$ \7 h  [          set age 0
  w; E7 i0 o- _; Y' e& ?- y" Z          face one-of neighbors4 * `/ V- z" j# t& Z  [
          set life-expectancy life-expectancy-min +
+ e- [9 b  P* t+ r                        random life-expectancy-max
3 g6 j! `6 G. C: B          set metabolism 1 + random metabolism-up
8 f* }% e& x2 k9 p" M4 B; @          set wealth metabolism + random 30% d# S) R$ S$ W5 l
          set vision 1 + random max-vision
; ~& r8 a7 k& b& i8 S6 r' Dend
- {8 L  o# v$ p, O5 \# tto redistribution
; @; L# z% ?# d! v* E+ zlet max-wealth max [wealth] of turtles; O4 L8 n2 s3 z
let min-wealth min [wealth] of turtles
, o7 E. E% B; k/ Q2 y0 Iif (wealth <= max-wealth / 3)3 ?+ ]/ i/ Q& X6 l! |+ l  o# B! _
[set wealth  wealth + Low-income-protection ]
' s& E" R! X6 @" j5 wend! z! a& L8 F* c. {: P; z
          ! T# d. e0 j/ a% O- {: |- K7 ^. w6 H9 B
to recolor-turtles; X6 m, B% |. I# ]8 x+ g
  let max-wealth max [wealth] of turtles
+ Y% @$ I, ~, b, Y$ E6 J+ s  ask turtles8 L# E! F: Z, f! a
   [ ifelse (wealth <= max-wealth / 3), r; h6 {1 k0 d( g1 a, R6 v/ }9 v7 ^
        [ set color red ]) U! Q3 }* [0 i9 c! H: ?
        [ ifelse (wealth <= (max-wealth * 2 / 3))
: D9 ~" W! f3 u# s4 I            [ set color yellow ]
- T3 r. L, h  l/ S            [ set color green ] ] ]
! [: W. Z  P6 F4 H1 O+ h) e7 E4 g ask turtles [ifelse show-wealth?/ ~  s) h6 D1 N- n( O0 W
    [ set label wealth ]" p' j" m" L% o
    [ set label "" ]]' G/ i* Z/ X. A+ ~* t1 g
end
1 p: V  H- T& a& m! v( K9 `* A& k+ d& c5 r0 r7 D5 J
to go6 K6 |& w# J5 A1 J7 R$ r/ ]. G
  ask turtles% j% k6 p% \) {4 e; A
    [ turn-towards-grain ]  : Z# U- O$ F- z: M9 a5 x
  harvest4 m' @. T0 G! `! q8 g  J% r
  ask turtles; \" {! P( d. n4 v! r
    [ move-eat-age-die ]
% `3 Q' X# Z- c/ W  recolor-turtles) K# M8 I/ q4 L2 `1 E
  if ticks mod grain-growth-interval = 0
' [* k9 q1 j3 M    [ ask patches [ grow-grain ] ], m# l: e. k7 `- L4 j* {' `! z
   
: W) A9 g7 p4 f; B" n  if ticks mod 11 = 09 _8 s7 h: n3 N! L! y; p, a6 \
  [ask turtles3 p4 g4 X0 q  _& F. s) Q/ ]
  [ redistribution ]]
" g; {; ]8 ~) C$ E, f' Q  if ticks mod 5 = 0
9 X7 n. C1 X! @9 l   [ask turtles& {3 q& F1 e5 n& P
  [ visions ]]* Q" T( `/ D' O! v/ D6 q# X
  tick7 f. x5 i  s/ d* k% }9 A
  update-plots  [9 ?; I9 G/ N
end
! y! |; p/ K, E& P) E+ B+ _9 C$ R" Nto visions
. F4 a& I+ z- [+ O+ D9 ^* e: z set vision vision + 1
6 A% d0 Y" b  T8 D3 o$ yend) C* Y" E0 r$ Q+ ~0 [/ c' @+ g
3 @% l2 h/ V% u2 F3 X( N: k* T1 ]0 _

$ \, m+ L4 y  S) u  Q/ ^$ s% A, f' u2 O
to turn-towards-grain  
- C/ N- G" q" S4 c  set heading 0" d) M# I4 ]$ f
  let best-direction 0
. ]1 R& ^6 b# c. q$ i% p, |4 V, z  let best-amount grain-ahead
; f: D7 @; [' L% `  Q  set heading 90
! k! y( t/ w2 e+ S  if (grain-ahead > best-amount)
$ u8 G( h5 S) o3 o3 ~: o, e- T/ _    [ set best-direction 90( U. I7 E% `# B7 m8 n5 {
      set best-amount grain-ahead ]
/ P3 ]5 C* n3 x: B: ^$ T  set heading 180
3 e  u' R# q  |6 L/ i; }4 U) `5 ^  if (grain-ahead > best-amount)
8 L1 G! Q  @6 c    [ set best-direction 180* B" j) q; O4 w/ x$ S6 @
      set best-amount grain-ahead ]4 _) ]+ Z$ K% H+ h$ l
  set heading 270' S0 \" }2 s8 H( B3 y4 M
  if (grain-ahead > best-amount)& b# y) f0 n& i/ |/ {" ?
    [ set best-direction 270
8 g* u( g! Z, `- x      set best-amount grain-ahead ]
" K( e0 F+ P  K! f- b  set heading best-direction
8 B- U9 p+ I: B8 ^1 {1 uend- ^# x* M* P- W0 |" M
' Q5 K8 r0 q$ g  O8 V9 V9 M/ G: K
3 U7 S# P: I7 t# {* Y& X
to-report grain-ahead  
8 Q9 c" c3 m& _* x; @  let total 0
$ s0 M; F; a& z0 j4 a1 `( b  let how-far 1
4 E' Y1 w2 \: J& p6 c+ F( Q  repeat vision
: r8 k" O6 }/ L# ~/ G    [ set total total + [grain-here] of patch-ahead how-far7 |+ z2 d# \% s- O) E8 L/ G
      set how-far how-far + 1 ]+ v1 X$ z9 ^4 m) L1 B- j% G
  report total' o. Q! `( S; _; R* N/ L. j
end
& B6 P: h' `0 t; X, B& b
  ~; b( z7 n/ U  }1 P' bto grow-grain
% f+ y0 c3 l" F7 f  if (grain-here < max-grain-here)
5 k1 q0 c$ {8 `4 ]4 w2 e    [ set grain-here grain-here + num-grain-grown  h0 U) o# W# p3 s% n9 d
      if (grain-here > max-grain-here)
. d1 Q) ?- x% E# n) D% |        [ set grain-here max-grain-here ]' R9 D) e$ F7 {! A- Z5 m4 A
      recolor-patch ]
6 R3 _8 z: X+ [6 \3 Lend% k! \% w- f# }  n2 N/ C0 }7 p( f2 x
to harvest9 M7 A; W, x2 F
  ask turtles/ w6 a1 X/ g" k6 r5 K5 s: B6 a
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]* ]8 c, I6 G6 N4 a7 }/ w: N. H5 d* V
  ask turtles' m  P* V3 Y0 R$ P) X# O5 N2 v- e
    [ set grain-here 08 W& ?4 X* j2 A+ b5 R
      recolor-patch ]; D/ P% k% S: v7 I4 j! c0 f
  5 @" E5 {. Q3 m3 h0 ?1 Y
end
$ Y& {0 I- T) G5 s* P+ D9 K5 G; _! d% }* O6 |, j
to move-eat-age-die  6 g3 J, H8 ]  i( c" N) D
  fd 1
8 j) f; Q2 M9 e" C  set wealth (wealth - metabolism)
. q) C+ S2 t% m. B! g1 `    set age (age + 1)  Y( w. W. F' F& c" ]
  if (age >= life-expectancy)
9 I( o8 }4 t7 s6 P# z# R    [ set-initial-turtle-vars-age ]
% y7 r( m% |6 Z1 Z: L, Z0 K* s, L# w  if (wealth < 0)
! l" C8 J2 Q  u; u6 e  @. G! P    [ set-initial-turtle-vars-wealth ]
3 W- {* _# c( S9 Q$ c. E% K   
1 p1 X  n8 e+ F5 ?6 X8 W% J2 [( D+ Qend1 r6 M8 c$ ~$ N+ a

0 D6 o$ |  c1 I5 u& e  p
7 W; m! a( e" F3 B: Sto setup-plots
+ u) C+ a- E- s1 ^  set-current-plot "Class Plot"0 ?0 [$ w0 J$ `. s. Z& d
  set-plot-y-range 0 num-people) [. F5 y# p; D% M
  set-current-plot "Class Histogram"
; Y0 C; ]3 W' e3 _5 y) `  set-plot-y-range 0 num-people
& i8 h; |& o1 Iend
; M4 s9 l' a( h& Q2 l
% d7 e  K/ i1 H* S/ Hto update-plots2 c5 t$ u9 x( a- l% P3 V
  update-class-plot
9 B& f9 f$ E4 `3 l0 Z3 N  update-class-histogram6 v8 w& n* C8 z* k. I% H% p
  update-lorenz-and-gini-plots# g" o/ W9 x) U
end
3 {/ u1 b/ ^' f" }7 R
3 S* ], i% f  Rto update-class-plot
6 a2 q+ @, G' L: }' k: W  set-current-plot "Class Plot"* J7 z6 l" T! v, Y
  set-current-plot-pen "low"6 f% U; h, F1 D; L' U; [
  plot count turtles with [color = red]1 D8 [8 w8 O' O
  set-current-plot-pen "mid"
9 G/ H* T! G/ [) f3 q) i  plot count turtles with [color = yellow]! ~; g* B8 S: o/ I- h
  set-current-plot-pen "up"
. w% @" p4 z* w2 R& m% }  plot count turtles with [color = green]; d9 j; m( Z9 m0 [1 b
end4 X& x# t+ s6 ^

7 {" x0 p5 L# e# B$ Cto update-class-histogram1 |; x2 N; _/ D# b8 ~
  set-current-plot "Class Histogram"
  s5 w1 P5 e* l6 |  plot-pen-reset
# F) e; ~4 }2 W8 P6 Y& v& H  set-plot-pen-color red9 j9 t. N+ w" e7 }
  plot count turtles with [color = red]) C" V* E: j. u( u6 d7 t0 ~
  set-plot-pen-color yellow
, u9 o) m" \) u6 k0 d0 L  plot count turtles with [color = yellow]
4 K0 @# d( P% `. c& ?  set-plot-pen-color green
( X% q5 |7 h& Y- e- b$ {  plot count turtles with [color = green]/ `- X3 D* ~1 r4 Y/ o/ _
end
0 R: D+ N' P: V1 e$ Y7 l0 u+ Hto update-lorenz-and-gini-plots) k. \/ `( J9 P# K! z, n% j$ U
  set-current-plot "Lorenz Curve"& k" j0 H. F) n) U! G) ]6 m. J& h
  clear-plot
, [. X3 y. {6 c; \
2 @4 s0 o: x8 q: R/ A  Y  set-current-plot-pen "equal"  L. O0 i8 f% g. W0 G
  plot 08 |  I8 B! R  g2 x
  plot 100. r, z: t1 T+ e8 L0 ~  ^/ O5 u
. Z9 k$ N; B, E2 \5 P7 y
  set-current-plot-pen "lorenz"- w7 j/ o8 v; e( [! P1 O# A
  set-plot-pen-interval 100 / num-people( s* t0 y+ k1 I  a/ |3 v+ G4 |
  plot 0
$ u2 P4 E- j" X% {; ?8 @. d! S6 K
- s3 S- T/ ]& W( I* Z. [  let sorted-wealths sort [wealth] of turtles
. G/ Y8 U! E0 z9 ?  let total-wealth sum sorted-wealths" z' r7 T7 J. v6 i. L- u' s) B" H
  let wealth-sum-so-far 0
7 m1 B1 D- {  c  let index 0
2 U! Q7 X1 D" ^0 z& ^; U  let gini-index-reserve 0# N4 @" E7 x3 r  Q, ~- k. w
1 x8 `  M0 ^( k, \3 s5 C
  repeat num-people [
4 u/ ^. v& [6 {    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)0 p, B- F) w; L5 S( [) Q
    plot (wealth-sum-so-far / total-wealth) * 1007 G+ g  M9 Q3 g0 k+ y, O
    set index (index + 1)" w' b: H' ~5 ~1 p
    set gini-index-reserve
0 Y7 B) P$ s/ \9 ]* |  c$ r3 F      gini-index-reserve +
0 b$ x1 `( R& m! a/ }      (index / num-people) -, ~: O) z& P3 N( p! j! j
      (wealth-sum-so-far / total-wealth)
3 ^9 V1 ]! u9 y5 C/ F+ V; ]8 a  ]
  {6 b3 _$ f" ?* H6 b! E1 i# p# i  q  m  S* {; ?, G" k
  set-current-plot "Gini-Index v. Time"
& A+ ?4 n& N, o' o% J6 A  plot (gini-index-reserve / num-people) / area-of-equality-triangle
* v: L/ r# }1 a8 H; B8 F' k& hend
# B! I9 P; Y' j' p$ ^- f7 }to-report area-of-equality-triangle9 G" U9 @5 f) A" F! \1 N% ?2 O/ {2 X
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
9 D1 \) c' c& V4 c% g7 E6 Tend
 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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