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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& ?2 Y& `0 o7 L) I2 z1 V3 W
globals% S: r- B" x7 |, n
[
# Z' \0 ?! Z: R# M! c+ N) a3 a  max-grain   
2 O) B7 y, [" @$ A) u$ ~+ Z* x0 r5 Q' y9 I+ r7 Y; @
]3 B8 P* ]+ t) D2 y+ c$ n

+ F) C- F6 Z+ ]/ Apatches-own
7 G# y& E# C  i( R[! b- C. f3 j) K. O7 p
  grain-here      
9 V* U) {1 p) j2 q  max-grain-here    e6 A* Y5 Q5 m: n
]
" D" p: q! Y7 X) d0 I) o9 ^$ c5 Q; A+ f% g3 r% ~
turtles-own( v5 T8 w) t; F) @( T- M: m. s; [' z; t0 l
[6 O7 W$ q! @; ^6 s
  age              
7 P7 ^8 p: J8 B1 r" i" s7 h  u  wealth         
2 s9 f! L- g1 b4 H% U  life-expectancy  - A+ h0 C, n+ S% [: C  k
  metabolism      
& ~; M" D2 `) T: {/ ^+ p  vision! h* w) C# W* D/ C
  inherited         
# ~" C4 h/ A0 @1 N, w; W1 v]
7 o" P7 G  ^) t. K+ q+ ?
8 j) ~2 V! `7 m- [
# c/ h7 W- @. p, nto setup+ O# w( B0 w, a& \
  ca
0 q& I1 C( m! z$ n  set max-grain 50
2 B+ m( @1 e6 k& V1 M  setup-patches
. G% Q' h3 q" X7 p: U  setup-turtles
" i) z3 X$ E" m, x4 R' D. e  setup-plots
1 J- X8 h, P" O) a1 S& |% j$ e  update-plots2 d7 s) V9 M+ b
end7 S) w0 i1 d9 q. p
to setup-patches+ E* a& e" W3 v/ f" ~
  ask patches
& g! Z! Y. K, w/ ~) |) C/ s( K6 }    [ set max-grain-here 0
9 A$ l: k+ r: w1 s7 g2 r; W      if (random-float 100.0) <= percent-best-land
. ^" H; c9 Q8 T0 y5 {+ M        [ set max-grain-here max-grain
' K$ }6 _  ~' R0 U+ P0 |/ b3 c          set grain-here max-grain-here ] ]6 |( P4 Y8 O! N/ R: y2 v
  repeat 5
7 w4 @. ]4 D, o3 @, L    [ ask patches with [max-grain-here != 0]
' J: m6 Z/ j, u) _$ i  z, ~6 ~        [ set grain-here max-grain-here ]
: J6 y/ L+ Q: `1 N4 }- Q/ ]      diffuse grain-here 0.5 ], m$ X% p9 o1 ]' e& \# K. w/ J
  repeat 10
/ t# ~4 p& |! k# U    [ diffuse grain-here 0.5]         
) s$ u  {# `% w" M$ r$ L8 z  ask patches5 o5 N; t* K9 s, M+ h7 ?) w' X2 ^
    [ set grain-here floor grain-here      z( t, L* x% l; N1 S
      set max-grain-here grain-here      
0 ~) p- h# m. \  l      recolor-patch ]
: ]" ^' t/ _$ f( L. `$ s- I; [end5 g5 Y; }7 r8 u" ^9 `; A
to recolor-patch  - v  k- W9 z; y( Q7 r( J* F$ q
  set pcolor scale-color sky grain-here 0 max-grain. r  v& b2 B' T: V# g
end
6 q  g' S8 `7 s$ Mto setup-turtles8 ^+ S- E: a! S( [* m- U/ F- D
  set-default-shape turtles "person"
. [# b$ Y6 R5 z" z  V+ }. e) R: P  crt num-people6 M9 S0 j) }8 a, Y! @5 |
    [ move-to one-of patches  
+ X* G1 \! E8 b      set size 1.5  % q$ U5 Y: q) U! z: \
      set-initial-turtle-vars-age2 Z( @% ~* i7 E& I, ]: N3 g
      set-initial-turtle-vars-wealth
& [6 z' N) ~/ }9 V      set age random life-expectancy ]
; m0 K4 z$ E& L6 c# b6 p, z% d: s# y  recolor-turtles8 U) O: x" l' N1 f4 G) A. Z
end
; ?6 r1 I0 _& ?- }9 ^. d! I& q& B/ L5 H' u
to set-initial-turtle-vars-age
' Y* p9 y- }  W! H$ { let max-wealth max [wealth] of turtles( X, j, N4 J" w  @
    , H" R4 i. M8 V2 E
     ifelse (wealth <= max-wealth / 3)" f2 ]& C; y, g, _
        [ set color red
4 Z( p0 H* q1 M4 g          set age 0
+ w! g! q$ |- T2 n3 J7 n# ~          face one-of neighbors4 ) k! T! @# U1 `. }/ k" F
          set life-expectancy life-expectancy-min +$ [( G7 R$ l! C; M# w6 g7 L7 d
                        random life-expectancy-max , |% d! x! t9 I* @3 E9 P
          set metabolism random 1 + metabolism-low
: e: s/ a0 W0 t/ `: ~          set wealth metabolism + random 308 }, t4 Y. A  D; u* M" v$ T# `
          set vision 1 + random max-vision7 Z* v* z( Q' W  Q$ V
             set wealth  wealth +  Wealth-inherited-low ]
  ^& U; h+ p0 u" |        [ ifelse (wealth <= (max-wealth * 2 / 3))& ]/ _7 F" Y9 J3 W. T: Q
            [ set color yellow   P0 Z. c, r5 L2 D
              set age 0
& U& M; `- ?1 v, o4 ?4 C' i              face one-of neighbors4 / F0 H! J9 I$ F% O- y
              set life-expectancy life-expectancy-min +
3 c% ?1 E; L0 x# g! U; \/ p! S                        random life-expectancy-max + 1
) D( k# L+ X1 y% m* ~5 \. j' p              set metabolism  1 + random metabolism-mid
4 k+ {: P! U/ y4 m9 {) |8 U              set wealth metabolism + random 30
  J7 w2 Y+ m) k* R0 S* x" x              set vision 3 + random max-vision# ]; Z) b' l4 L8 v
                set wealth  wealth + Wealth-inherited-mid]
8 E5 l' I3 }  Y" H  }% n1 r2 G            [ set color green ! i7 |- j, u6 d
              set age 0
. f. b7 E5 \+ C( Q) l7 c              face one-of neighbors4
2 U, h: x; o3 U' M4 r              set life-expectancy life-expectancy-min +' o; q" \, ~1 t2 D# \% ^
                        random life-expectancy-max  + 24 Y9 P2 }. l% c7 H# E
              set metabolism 2 + random metabolism-up0 V( d; H! i$ X) k' Z: n
              set wealth metabolism + random 30, v# v" L$ c3 N+ s' l! b
              set vision 3 + random max-vision/ F& J( F% d" E1 {: w7 s2 ^$ I
              set wealth  wealth + Wealth-inherited-up ] ] + z; z/ I% z  K: L

* u% V# B$ }; \) I1 m: P8 Vend; K; O! b- V. X: [! X5 V
to set-initial-turtle-vars-wealth
1 c* o) w) [& D, ^ let max-wealth max [wealth] of turtles8 ?) i2 i" _4 y6 H9 z
          set age 0
* J- {! t. V) X/ [  i( d          face one-of neighbors4
7 |0 X- L( |1 q1 p          set life-expectancy life-expectancy-min +4 F6 V, F. }9 F; H- M. \
                        random life-expectancy-max
6 Z9 z9 r4 q( O1 g          set metabolism 1 + random metabolism-up; y$ s# q9 p% ]; T
          set wealth metabolism + random 30
# w9 {+ y) |1 Y- ?# B, ]          set vision 1 + random max-vision 9 z8 M4 B+ W' E( N
end
7 G+ g0 Z$ b& F0 ?* T- E/ P$ Yto redistribution
/ I0 `, y/ f3 P: I" R, \6 D( Glet max-wealth max [wealth] of turtles0 F" X7 L. W! P' D
let min-wealth min [wealth] of turtles! _( i, b2 v$ z* {* T# b+ m
if (wealth <= max-wealth / 3)2 T1 X7 @. T" A# c! z* Q0 D$ v
[set wealth  wealth + Low-income-protection ]" c. a% ?, {+ s6 ~
end2 f1 t9 S' g; r$ r/ p; N
          1 U, T0 j7 w7 u2 @
to recolor-turtles6 ~" p; K  t0 ]' I" o( b
  let max-wealth max [wealth] of turtles
9 V! S  l2 T6 @# f  ask turtles
4 ]* N' C, M; \7 t9 y, I   [ ifelse (wealth <= max-wealth / 3)( j) L+ Q- O2 E0 e- f* u
        [ set color red ]4 `0 a3 M1 F3 n% R
        [ ifelse (wealth <= (max-wealth * 2 / 3))# e7 Z$ k9 R5 h  d4 U0 R
            [ set color yellow ]$ J1 {+ G8 `; h* H* r4 M
            [ set color green ] ] ]( h6 H2 Y. P4 u7 H
ask turtles [ifelse show-wealth?8 C) Y$ c9 X6 g2 ~0 ^1 j+ s
    [ set label wealth ]
; K  c2 m+ w5 J$ h* n    [ set label "" ]]
4 Y( g( m" `1 Z2 ?/ }8 W" @7 _  Kend
7 h( v, h! Q( c' k) I! v! w! \, v7 `! A) c! H% k5 |
to go
2 |; V) r, r$ V* o  ask turtles
' Z6 o; W: s! Y( J2 D    [ turn-towards-grain ]  , G: u6 r- j" Q6 f
  harvest
8 E1 z. r  j  t$ A3 E. z; W  ask turtles9 N: t- F; i" `
    [ move-eat-age-die ]! p: X4 I% J& A, u' U4 Q
  recolor-turtles3 u, j* T9 ^. ~5 k
  if ticks mod grain-growth-interval = 0
$ \% l; A4 E% K    [ ask patches [ grow-grain ] ]0 `; V% }, D) [. G) E! |
   3 H# h+ I- j! U, \
  if ticks mod 11 = 06 [4 V0 ]7 x3 ^  D3 W, Y% T' \
  [ask turtles6 t. J5 f0 J- J) h' E! Q' V
  [ redistribution ]]
; X# w  |2 o0 G5 p5 G  if ticks mod 5 = 05 n& t$ A1 r  w  t
   [ask turtles
" ?$ x& ]  X9 Y4 P) T% K  [ visions ]]
4 o/ Y* S8 i+ P  tick! h" k; S3 L, b* L$ T
  update-plots
! b1 E; Q" E2 B$ O2 C" W+ Wend
7 m& d- K- S7 l- rto visions
! y  |$ u0 P/ ?8 N3 a/ E: ~: E# X" ` set vision vision + 1 $ V; q% X" \2 D& A
end
: q! q! [% J; S4 n( Z) G9 q: t, N3 t: a9 G& r1 n8 d
5 u( P0 \1 Q8 [$ v- j

4 v! Y% q" _6 ~* hto turn-towards-grain  
4 Q6 i; z0 x& K2 S% S" J4 v) ?  set heading 0
1 Y, W' W6 n4 C# t2 I2 ^" U- ]  let best-direction 0' o8 g, c) ?1 g8 y* {
  let best-amount grain-ahead6 o3 Z) Y7 b* v8 l$ Q) l
  set heading 90! F9 ]4 J. x, g& f+ l
  if (grain-ahead > best-amount)
( N+ c# Y; y; v. }  F+ |    [ set best-direction 90
3 o/ V, M& L# {* h3 u" X, V" S      set best-amount grain-ahead ]9 i! A# [( {, z9 O
  set heading 180) R7 d4 l, V& X8 i  Y2 Q# ^, y0 i
  if (grain-ahead > best-amount)3 U9 Y# T) @4 L- }8 H/ B) I
    [ set best-direction 180
6 S, q. W+ B' i" m" @      set best-amount grain-ahead ]
9 F. S2 i* J& O; c  set heading 2706 b4 I' g* i4 u( S. n3 C  X
  if (grain-ahead > best-amount)9 h; }0 s& ]- I# ^4 |
    [ set best-direction 2707 {* e. n, }! T" X/ e
      set best-amount grain-ahead ]
1 J# ~# p$ Q2 T; w  set heading best-direction) l: ^8 e/ ^3 j* @
end
  q7 A. \2 W( O  l- s. d! N/ c% R$ k3 _
" t1 y: M" a" i7 N) I0 \& K
to-report grain-ahead  
4 Y6 K2 B( S2 `4 Y0 }  let total 0; g- c. L, I2 _
  let how-far 1
) R! P" M6 ]. }" h% I5 C  repeat vision
/ S4 Q/ C/ x# [    [ set total total + [grain-here] of patch-ahead how-far6 `# C  R; \  b. f' N; \
      set how-far how-far + 1 ], t3 o; `6 c  T: J! q7 a
  report total
! c* V/ n- X% w( ?4 |, |end
- z' a$ t+ h2 ~6 G+ r- @' h- k" g1 b1 w7 F5 [, e6 ^. l
to grow-grain - y+ _9 i1 [6 i: T, T
  if (grain-here < max-grain-here)
1 u0 T: ~9 m. Y- r, s    [ set grain-here grain-here + num-grain-grown
4 m, Y* L8 I: C1 e0 C      if (grain-here > max-grain-here)
7 z  X- f1 M$ @0 T; M        [ set grain-here max-grain-here ]/ Z* M; V$ a, j% Q) R. M* d3 x/ L
      recolor-patch ]( t. H4 p7 R% V- W. F* Y
end
/ E+ D1 K6 s! X8 h1 e# x8 ]to harvest6 p! ^9 Q: T& \) y8 u! K8 b$ ]5 r- ]
  ask turtles
) t- \' q& L5 X/ L, v    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
4 ~5 |) X. G; X1 ^" q  ask turtles) b9 H* K) c3 _8 W$ U) n4 X
    [ set grain-here 0
: Z$ J; s% O3 J      recolor-patch ]
4 W. B+ g; Q& \+ d' f  
: M: Z$ i: O  }4 |end. l: ~1 ?. F. d- H
4 t- `7 B, U7 J$ A
to move-eat-age-die  2 H3 o" l8 Y8 {9 z. F, ]2 s
  fd 1
, u  w( |4 {$ |6 r; t7 }" b  set wealth (wealth - metabolism)* \4 e; G$ ]7 r" k% N7 ]/ x" K( ^
    set age (age + 1)/ x5 B! u% P8 M4 {0 J
  if (age >= life-expectancy)! C+ h3 r5 I9 I# l
    [ set-initial-turtle-vars-age ]3 f; O9 ~5 q/ }4 c7 B, \
  if (wealth < 0)
2 w3 h8 c/ i  z. e2 r, h    [ set-initial-turtle-vars-wealth ]% v9 \* c9 g5 B$ l2 h% Z5 R# e  `
   
& m: c8 f; g1 P6 z! M$ d+ w9 \) tend
# X4 `0 o" I: Z; j$ Z0 F& G
: ]9 Y  T# _/ k4 k, z' _$ z8 |' e0 a$ V  @+ H4 |
to setup-plots
" f5 T1 O# b) c  set-current-plot "Class Plot"
9 R, m' ]( z9 Z5 ^  set-plot-y-range 0 num-people
9 ^9 C: v) S9 ^! r  K: |# V1 o  set-current-plot "Class Histogram"0 E0 M' D& p( b* @$ n/ P2 E3 c( H
  set-plot-y-range 0 num-people
* L7 U" t4 F9 n* f' _end
4 b" f8 |& `3 g8 X  k; Z
) h& T" h6 ^, u9 L! x  dto update-plots
4 A% a" w5 K! \$ b6 Z6 F% e3 O/ F  update-class-plot
8 t( \' s$ }2 S, p1 O+ \" P* y  update-class-histogram8 N# ]- }# A. j2 O7 H* c
  update-lorenz-and-gini-plots
, G$ E! J0 [0 T+ B  j: {end. O, T$ T$ }0 _* y

( b( `! J1 \" i* @& r! mto update-class-plot4 H" l2 }- D& h  k, c7 H; O
  set-current-plot "Class Plot"
/ I/ T9 s1 X0 w3 Q) Q) X) O& ?, V  set-current-plot-pen "low"8 l- [: d4 s3 Q  |2 L3 D9 W! I
  plot count turtles with [color = red]
' z3 l: j3 F4 i! P1 R  q& C/ W  set-current-plot-pen "mid"! B% ~) o+ g0 s' k
  plot count turtles with [color = yellow]# W5 M% ~7 ?& g, \2 Z( o! N% x
  set-current-plot-pen "up"
+ `; d6 P: @; ^3 b9 L3 ]( E3 i1 e. n# o  plot count turtles with [color = green]
. j# D8 H* @# X: Iend# M0 \& i. _' L+ r$ C
. n6 E( V; X, D0 R7 u
to update-class-histogram
: A+ M+ v7 ^$ H% o  set-current-plot "Class Histogram"9 f( `2 w8 j( d" t/ ~; H5 p2 d- w
  plot-pen-reset
* ?6 M5 z5 k, d$ {9 Z1 ~  set-plot-pen-color red
$ n: v- E( S& h+ z& s: g  plot count turtles with [color = red]
+ b4 \: i" G1 g6 |  set-plot-pen-color yellow
" v# u! a: {3 Y$ G5 j# y( {  plot count turtles with [color = yellow]
. |$ G% F- H  M) ]  set-plot-pen-color green6 c, N( X: z$ v  ^
  plot count turtles with [color = green]
. ]( @$ {3 Q$ X3 o$ J0 ^: `  a9 ^end
" R7 q7 y: l5 t2 ^$ n+ hto update-lorenz-and-gini-plots8 s7 t1 B. k) G( S- E1 m! u. G
  set-current-plot "Lorenz Curve"
+ }1 u9 W7 u6 h3 r3 T2 D0 c  clear-plot- x* i9 d% Y( j6 P6 [3 y8 Z

  p& u# K4 b4 D  o: {1 W$ d, C  set-current-plot-pen "equal"
% b/ u3 W* l6 A& w9 e2 e  plot 0* D# o. w( |& Z8 h8 O: j5 J" R
  plot 100
$ l4 C# g- [! g, |* o! X
$ ~: F3 _0 L* z0 _2 X. Q) g  set-current-plot-pen "lorenz"
: @5 ]" f( w8 {7 ^  set-plot-pen-interval 100 / num-people
, q4 }0 A  m. S6 Q: X  plot 04 P6 y3 q2 W, V, l
' ~% j9 G8 r" O* M3 J$ X0 _6 U
  let sorted-wealths sort [wealth] of turtles* c. H' ^3 _) Z3 E; s* m8 p' ~
  let total-wealth sum sorted-wealths
0 V' W( @+ ?: w1 x  let wealth-sum-so-far 0
! M/ I  I! n5 S6 {5 N  let index 0
1 V; \2 x, }8 R3 p4 B9 x  let gini-index-reserve 0
9 u0 V  i! s. A7 P  F" H$ y$ h4 M7 S) b, b0 k* u/ s
  repeat num-people [
. j/ |8 f6 S% P( `) I) |2 d& X' i    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
2 {8 ~& g( F- D+ q% S: o    plot (wealth-sum-so-far / total-wealth) * 100
/ F1 V. f1 E) E9 Q& P; M    set index (index + 1)4 H: e& c, d1 y
    set gini-index-reserve+ _5 U! @* t" O' [0 |7 Y5 G! Q  Q9 ^1 D
      gini-index-reserve +4 j$ Y  i" Q1 K7 r9 Q. r6 w* J
      (index / num-people) -' d/ Z! u- B' q+ v: M7 ?7 c; l
      (wealth-sum-so-far / total-wealth)! I4 ~1 @1 w/ n! \
  ]( |, M5 a8 I) O1 N- |
0 F- \* z  D$ I* }2 z( e
  set-current-plot "Gini-Index v. Time"
/ ?9 _! R8 F% _* X: k* m  plot (gini-index-reserve / num-people) / area-of-equality-triangle" v8 E) W# c, O
end9 F1 G6 P$ F9 C6 m5 w: A! o+ o
to-report area-of-equality-triangle3 m7 _, S/ C1 Y" j3 f9 E# _; {
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
( I3 q9 G! y9 r: ~, H3 G* R6 Jend
 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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