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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
% {1 ?3 a3 V) H3 L3 D" [  A5 Hglobals
* |( h" v8 }4 r3 p2 b7 Q# d5 W5 H* l[
2 |, q' f6 u( j! d5 V, v  max-grain   
. f9 }* i; g) D8 C) g+ s# I$ U& k% r" O9 p. `
]+ W$ T. r. y* X. }5 {4 ?
. d! U7 i9 v3 z. q# c( b4 F, ]
patches-own
# E, c: p1 P7 k: C4 F1 ]! i% E[3 f; O) [8 d( u+ a  E
  grain-here      0 {5 Y" L2 G1 s: N. o+ B
  max-grain-here  
' o8 z2 F) m6 n; a% r2 Q+ p]
3 I) u/ h6 U/ E5 y3 Q$ m5 p! M8 j* H+ e
6 {% T3 s; E2 A2 ^* l) Vturtles-own: I2 S5 k( D& h) w
[. l# F. z4 J! K
  age              8 U+ U6 K: e9 F3 o3 U! X3 s8 G8 ^
  wealth         5 _, U$ m3 b3 S- G
  life-expectancy  
' C. J4 v5 U7 _; y/ |3 K) l  metabolism      
: f. R* m- a4 ]1 S" P  vision; x8 z4 X# [6 f( }3 `
  inherited         
& E# d9 P0 n& H7 Q0 i]
4 \0 I7 H& t, W" C' [
3 u. M2 I! F' n9 T3 G- D- q- |2 s. }7 l/ b8 h" S( u. u
to setup
0 o& m! x4 i. \/ y5 H; Q$ W  ca. v' X9 }3 o2 M' S+ e5 S
  set max-grain 50$ e  E: Q' q8 G4 M* B
  setup-patches
; {; z- X: K8 O5 x' c: p2 _$ O  setup-turtles3 d$ U( f3 ^2 _. ]# Z# J- [
  setup-plots) S4 A+ Z4 ]! X' O0 G
  update-plots
3 d2 F( ?* s/ r5 nend
9 X4 _: {: K$ Oto setup-patches$ F6 u% |" ^. x
  ask patches) d- |2 x: G, u7 u8 [0 ~/ [3 F1 R
    [ set max-grain-here 0
' r6 ~3 Z1 P- v# t+ H% W      if (random-float 100.0) <= percent-best-land
$ f3 o: a% w7 P' Q$ l6 {7 M        [ set max-grain-here max-grain
3 P: W) F% @7 O2 [" K9 _) H          set grain-here max-grain-here ] ]
, e% w8 t: p- \  repeat 56 F% z% d4 M! S& z* o/ r  a+ f5 M$ W
    [ ask patches with [max-grain-here != 0]3 I) s3 u  l& G- [$ v+ f
        [ set grain-here max-grain-here ]5 O; g2 n& F/ y, b, _
      diffuse grain-here 0.5 ]) u7 E; N3 x% n- _' T% Z1 m! j+ Z" c
  repeat 10
: j7 M9 ^3 f" T; v2 ?    [ diffuse grain-here 0.5]         
8 I" n' [- Q1 X2 v  ask patches
' r, H$ P9 T) O4 [8 R$ [    [ set grain-here floor grain-here    + N1 F( `9 y0 Y, ^& p& S
      set max-grain-here grain-here      5 z/ A2 {2 U; y5 q6 i
      recolor-patch ]# t) a+ E1 n$ B9 ]
end1 B0 |7 M" c1 c  Z' I
to recolor-patch  / n  a# p1 A- m# z0 W& G
  set pcolor scale-color sky grain-here 0 max-grain; ]* U( S# ^' t) y" x! O
end4 Y$ ]& k! {( L- W  y4 @( @
to setup-turtles: C' }8 J" l$ j. t- I
  set-default-shape turtles "person"
1 K, m8 B* [( A% p9 m% M/ k: q" F  crt num-people; g& ^1 U: {2 S% Z8 b8 y
    [ move-to one-of patches  " x! x0 @3 j) G
      set size 1.5  
  O1 j9 U& a$ |- H* q  w  J  M      set-initial-turtle-vars-age
5 `: ?6 d2 K/ A4 }: d' b      set-initial-turtle-vars-wealth
( }" b2 E5 X1 M/ j      set age random life-expectancy ]
! n1 S0 O5 o5 t" n% z2 _% x# i+ w% Q: z  recolor-turtles& @7 [$ U! g, k/ k: U2 z# _
end# Y9 \- ^# h1 B! l
# N9 P  T5 F* d
to set-initial-turtle-vars-age
, q+ O# v% i- U+ z) Q3 q6 ? let max-wealth max [wealth] of turtles
5 h$ S  s& o! j4 Q5 I( ^* `   
9 O1 h! h; m$ e& t' V+ a2 k     ifelse (wealth <= max-wealth / 3)" p3 A" x0 m3 m- v' a# c: B
        [ set color red 7 A6 ]2 Q& t* B
          set age 0  j0 J) M. `  v" }
          face one-of neighbors4
- x( Z8 v4 X/ ~0 g          set life-expectancy life-expectancy-min +' J& h/ [8 I8 x9 V+ w7 L: X
                        random life-expectancy-max ; x7 U' D) d8 D' T
          set metabolism random 1 + metabolism-low
- f6 z) \' b1 t          set wealth metabolism + random 30/ i8 v- Z9 F# e' H: C+ f# X
          set vision 1 + random max-vision
# A4 M* z/ }, p. g& l6 N  B/ b1 J             set wealth  wealth +  Wealth-inherited-low ]9 a0 }: Z1 E, j2 I- g3 v
        [ ifelse (wealth <= (max-wealth * 2 / 3))
  u* \& X% P% \" p: g) ^/ ]            [ set color yellow
# G  k  C$ S  h$ L2 c# _+ l              set age 0
  u4 a5 ^: O+ H              face one-of neighbors4 / z7 c$ i4 R' D8 W. `1 m
              set life-expectancy life-expectancy-min +
! {4 H$ ^- d- G7 V8 x* e7 b) |                        random life-expectancy-max + 1" ]* ]  H; {6 Y% H9 S* l
              set metabolism  1 + random metabolism-mid6 x  s1 p: s9 E) P" R
              set wealth metabolism + random 300 K8 D0 N8 E- d, l0 k1 {" L
              set vision 3 + random max-vision5 N8 H. ^+ J% o( v/ ?. ?, v
                set wealth  wealth + Wealth-inherited-mid]) R2 i8 @( X  u' Y( Z
            [ set color green 9 v- n. b8 J) I
              set age 0
9 M7 W* g% |1 Y              face one-of neighbors4 7 P& b- y* J2 Y* }  Z5 g, k- g
              set life-expectancy life-expectancy-min +
; n# W/ _  Y' ]$ D                        random life-expectancy-max  + 2! {( s9 j9 c1 A: c& U: T" V1 U
              set metabolism 2 + random metabolism-up# O- a! `0 K! b; n
              set wealth metabolism + random 30" [! }9 A5 R& ?5 h
              set vision 3 + random max-vision& M  o$ n+ g- o% T( W, C
              set wealth  wealth + Wealth-inherited-up ] ]
* c  f+ d9 @+ M- A1 h. x   t2 b& d4 Z$ q- s" O% I
end
" |) i! M& D0 z2 v% f6 uto set-initial-turtle-vars-wealth' t! @# \! r& o+ ?) @
let max-wealth max [wealth] of turtles, ]6 B; Z) T- j% M
          set age 0- z3 ~# Z; M: v- k. B+ ^
          face one-of neighbors4 3 u" ?; i% j! r1 B
          set life-expectancy life-expectancy-min +
: U4 R: g- J1 Y, U' K: I) O7 x                        random life-expectancy-max
8 ?* R8 y+ Q1 G9 W% V5 H          set metabolism 1 + random metabolism-up
& \# P# D3 T& I" X3 ]$ F          set wealth metabolism + random 30
! o+ ]" B0 j% B/ Q          set vision 1 + random max-vision
. J3 X' B) h2 u: }" m) Z5 }1 Nend  o* {: }3 E) q
to redistribution' Z3 j" [8 L( @7 H) i# Q/ v
let max-wealth max [wealth] of turtles
$ f- u9 I( @8 k& qlet min-wealth min [wealth] of turtles# s8 z7 G9 N# K7 W  J
if (wealth <= max-wealth / 3)( C* w! b3 u9 u, O% n# Q' E8 ]
[set wealth  wealth + Low-income-protection ]( N" t- O& ~$ }5 I# @% F* g, X2 O
end% X9 \2 B8 t( F9 g( S
         
: |0 X' A: z7 L6 uto recolor-turtles; l0 N0 Y8 G0 W/ e6 d/ z) _# P, L
  let max-wealth max [wealth] of turtles
; m, M4 |8 K7 I9 d0 h, C% Q  ask turtles
/ t9 \: H2 j4 Q, \* C0 p   [ ifelse (wealth <= max-wealth / 3)- T5 ?  H! M$ M% w# p
        [ set color red ]
+ O/ e9 C; }& a4 z# K        [ ifelse (wealth <= (max-wealth * 2 / 3))9 @5 }3 O' b' B& C* V
            [ set color yellow ], T1 z$ E) D) ^3 z) ^9 L
            [ set color green ] ] ]5 H; P' P) B8 K* n" z
ask turtles [ifelse show-wealth?6 ]" d, x( |( l  e5 ^: |
    [ set label wealth ]
6 B+ M& q: A- m, C3 u4 z  Y/ v    [ set label "" ]]
3 W) a2 h8 D! b* g+ ]! zend" ?% w6 y/ _( I, C& P8 n( b' J  V
, B1 ]$ I. r  X6 K! y& B: H
to go
7 G/ J1 o  z* n# L. a( e4 P( o  ask turtles6 S# ]7 D. p3 v; V0 @
    [ turn-towards-grain ]  1 y$ [  |+ e( D6 h
  harvest) I5 Q7 z/ O5 r
  ask turtles, l# M2 C7 Q8 R# M
    [ move-eat-age-die ]2 R# n$ o% O  `+ x
  recolor-turtles
0 r- m3 E! F: x7 z" M  M, d. N" a  if ticks mod grain-growth-interval = 0
6 o" c7 S( }7 m, v    [ ask patches [ grow-grain ] ]- d7 t, Z* P' s: O3 ]
   
9 R2 Z( R. u$ u3 y: K  if ticks mod 11 = 0
, w& g9 J% i% n& e* z- j+ x  [ask turtles2 y* B1 ?, {) E" O/ ]1 f$ I. c# ?
  [ redistribution ]]
" [) ]9 \) O& d  E8 K/ K" b7 D  if ticks mod 5 = 03 k9 @* I# C, ~* T; K
   [ask turtles/ D, X# Q0 {' R  ?# u
  [ visions ]]6 J5 G( s0 V& Q6 m
  tick" H+ A1 j8 H/ k" S0 T
  update-plots; n! U! Y- t- A& @# W
end8 T# ~! h: p1 `* @% q
to visions
1 L) D6 C7 B& ^+ D. a4 }: K& J set vision vision + 1 $ T% E  J7 W1 b7 V3 b# G
end( l3 L4 J( v0 E3 L
1 M: C4 f: R  x
$ I# J/ h" g5 {+ K  w: C

& j: P: W* f. P3 P. Jto turn-towards-grain  
. j; G+ k8 p5 V3 g+ m( g  set heading 0
; w# k3 r' ^& Y  x9 T  H  L/ ^" E  let best-direction 0) P, n! ^$ M/ H, E5 r: j3 j
  let best-amount grain-ahead
$ ~4 b- l+ ~, V9 _6 e  set heading 90. w. Z( i* [2 Z% @$ |9 s
  if (grain-ahead > best-amount)7 w' T/ p7 e: _3 \, j
    [ set best-direction 90
3 j3 Q' f/ R) v: |9 P; `      set best-amount grain-ahead ]' f' q8 t& N* P$ e9 [
  set heading 180$ x3 @1 F4 r, W8 ]4 T  u/ M% r
  if (grain-ahead > best-amount)
. d/ O: \& A" b+ m    [ set best-direction 180
1 N  C. M  h* S- L" v      set best-amount grain-ahead ]
$ Q" z2 x4 r# u; }& K# ?  set heading 270- z9 m9 Y: ^) i. a4 p/ L
  if (grain-ahead > best-amount)) B+ Q1 A8 ~1 ]3 n
    [ set best-direction 270
; N8 L+ E  n+ o+ _( w/ ]      set best-amount grain-ahead ]
5 u5 q* F9 F- ?$ B9 _  set heading best-direction
0 M0 R6 i; m4 ~end& i, R1 D& m& e* m$ h3 r  i4 Q
7 u* x% y; q+ k9 Q& a
1 a! h2 Q# ^& ]+ M8 d! L& Q
to-report grain-ahead  
. ]+ K% Z: D+ G$ l  let total 0
0 L! P+ g% W( e2 V0 c$ P4 T. C  let how-far 1
/ O- ^  u- a2 J3 w& G  repeat vision+ `2 o6 h8 _7 i: C
    [ set total total + [grain-here] of patch-ahead how-far
+ ^% K8 L, k3 `+ j% b) Y$ L2 t; T! u      set how-far how-far + 1 ]
/ r  ], |% l, h' S/ |  report total
( j1 ^3 [* l& U7 N! U9 Qend
9 u% F7 D, L  y7 l
0 s3 f( h5 M5 g* f6 ?2 }+ V# Uto grow-grain 6 h+ C: |: C1 a+ s+ q  z
  if (grain-here < max-grain-here)
* R" s/ }9 g; O" J- v: W2 }* m    [ set grain-here grain-here + num-grain-grown
2 X. c8 U% C: F+ f# ~" Y      if (grain-here > max-grain-here)
8 j5 I1 s0 z7 w7 O% }5 D" s/ d        [ set grain-here max-grain-here ]/ G- r* U6 t& O' }/ j2 ^
      recolor-patch ]
+ V3 S9 w1 a1 A; P- d0 ]end- m2 x9 Z0 l3 O6 f+ @, T
to harvest
! {4 P7 f, p7 |5 j1 M$ g  ask turtles6 u. T& y) j! Q5 b
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]# v5 @" k$ |' @( }. g
  ask turtles% [7 X8 z* M/ i/ E9 w
    [ set grain-here 0% U$ G; ?: v. m& C2 j
      recolor-patch ]. @- r8 \, |7 I  ]* q
  
! z" N9 V4 v' F- @2 k1 Jend) i$ g9 L$ s4 ^! f+ j: I" u2 Q2 I
0 Z5 m* y: w( \/ Q) h6 {
to move-eat-age-die  
& H+ Q' D# M6 l" s3 U, E( A& e2 m5 \  fd 1) n) U0 C. V3 V, s$ t' g
  set wealth (wealth - metabolism)
  j9 l5 q- i: v5 ?, _    set age (age + 1)" i( R  x3 k, `7 X  t  H! C2 _
  if (age >= life-expectancy)
& y( c7 Q/ b5 o  x4 o, b; t    [ set-initial-turtle-vars-age ]% ]$ c; \! c. G% e, Q. K" P
  if (wealth < 0)+ s3 g# D% f/ T9 i: X7 _
    [ set-initial-turtle-vars-wealth ]
& ]: e0 M/ h+ J$ n5 m   
& N. k: m5 y' Jend7 ?: y( I" L. W* j( u& I9 \/ b4 T/ |

& V6 H; h; o3 d9 y; C+ s
! e2 R, u/ C8 r" }2 kto setup-plots% T; [$ h! ~6 S! V7 E1 V' z% j
  set-current-plot "Class Plot", @: C! ?! e0 f3 R. P
  set-plot-y-range 0 num-people
1 m% ?) o( o+ ]1 R- Q! b  y* {. \) j7 U  set-current-plot "Class Histogram"
& y2 n2 a% q$ K+ p/ V  set-plot-y-range 0 num-people* i( L8 m8 K' z- y4 \: @
end! P# Y3 Z' }' N% [' ^1 G$ P* ~

1 E' C. o& W5 Mto update-plots+ X1 a1 U# U$ T' k# T6 c
  update-class-plot
0 V6 M$ N# o( U; T  update-class-histogram1 [6 H1 {' i6 G) u/ X: C( q) a
  update-lorenz-and-gini-plots  k, k9 s3 r8 Q4 l
end
$ a" t- {1 d0 [" w4 ~0 _5 G: V5 [( I% k- B- M& Q
to update-class-plot
6 W7 l8 k4 U* Y  set-current-plot "Class Plot"
# `( B7 m+ G! u8 o  set-current-plot-pen "low"/ u/ [$ N% q) t  A* P' b* P
  plot count turtles with [color = red]
- N8 p6 B& F+ p0 j* m: _  set-current-plot-pen "mid"3 P4 v5 |7 D! R1 n9 ]- e
  plot count turtles with [color = yellow]
' q% |- @. q; z& ]' ]6 @3 f9 k8 M  set-current-plot-pen "up"
4 x. i; H- d, ?. d" S2 e  plot count turtles with [color = green]
/ K, f8 Y! F) b- V" o% f' Tend! e5 n6 h4 ?2 [8 B, ^( i

: @% i, g1 W+ h+ l2 pto update-class-histogram) k1 N/ V9 {! H$ y
  set-current-plot "Class Histogram"
' N% w0 c: m" b! p4 y; C  plot-pen-reset
$ t* N; w0 ~! l( C3 [1 }# a  set-plot-pen-color red( W# A9 H' f( h* M( o5 e
  plot count turtles with [color = red]
7 s0 X9 P$ T3 T  set-plot-pen-color yellow/ C* x5 E5 t6 n9 Q. N# W
  plot count turtles with [color = yellow]2 v# U4 A/ d' S) w& X' B
  set-plot-pen-color green. P. U' I6 }. N; ?) n$ d
  plot count turtles with [color = green]. Q9 p  G$ }; u: o
end
* l$ Z0 B4 k. Uto update-lorenz-and-gini-plots0 @! B) }4 i2 g- K
  set-current-plot "Lorenz Curve"
3 S8 D$ ?/ `5 {; t& m+ h/ y. R  clear-plot
7 Z2 l' Q3 B- ?( q6 X3 A
! |( k6 [/ ^7 N  set-current-plot-pen "equal"# C/ |9 s4 Z1 t$ ?+ [8 r
  plot 05 g7 i+ m  [( U! e1 f8 y
  plot 100, p' C  A. ^: {8 {* _
! T& k' _  U* y+ ~. F& F
  set-current-plot-pen "lorenz"! F: Y1 y  B+ I* z6 H: k9 J/ }# D) E
  set-plot-pen-interval 100 / num-people- m) b/ e% Z: W) l+ y
  plot 0$ C  E* G4 x/ z+ m% }

6 W$ Z- I$ z# S8 E8 G* G$ v+ m  Z  let sorted-wealths sort [wealth] of turtles
# D2 w! X) L: q; N" G/ J  let total-wealth sum sorted-wealths' d6 [: C7 s- `! O
  let wealth-sum-so-far 0
$ w9 x; L2 E2 T. M  let index 0
$ ^  k) {+ f: s. n  let gini-index-reserve 0* T: y. ]# G/ {4 m
; D' n8 l9 ^3 E$ p' ~, e2 A" K' H: t% m# L
  repeat num-people [$ P" \- ~9 y* N  o
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
* d. @  z2 ?9 f( E% X9 S    plot (wealth-sum-so-far / total-wealth) * 100
: z% p0 R4 L. i, _3 d% Z/ ?    set index (index + 1)
. k+ F6 w- w' s    set gini-index-reserve
4 D" H8 M( O3 ?      gini-index-reserve +
( |1 V2 E7 r8 y6 F/ t  W      (index / num-people) -
5 A& t' V) C) v) X6 \/ l* N$ l: Q0 |+ Y      (wealth-sum-so-far / total-wealth)
: w: X  O/ B' N( h9 l' N3 ~2 {  ]
$ k6 d. L, ^' l/ c* P3 B/ G8 l* x. K
  set-current-plot "Gini-Index v. Time"
, K! m- z$ l' @6 B+ r% W  plot (gini-index-reserve / num-people) / area-of-equality-triangle" k0 Q! y4 r% D  y, A" n$ g
end
6 s. C1 q  T. H' ito-report area-of-equality-triangle
, z0 ~7 M8 ]: S3 y+ j, U  C7 |9 L  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
) v0 Z5 n$ R4 r& }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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