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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
! ^% E; V3 P0 |9 [3 C8 j9 L. xglobals1 V: ]6 Y! L* w
[
/ o8 n) Z3 x7 u- r4 T  max-grain   
2 j6 a7 Z! g0 ~8 D) A# s7 z9 k5 Y5 U$ Q3 L( w9 c1 y
]
9 W% `1 N/ k* c/ t3 m. D8 N. }* f6 g! s1 s
/ J9 k2 g( d2 g8 ?# spatches-own1 F% ~" D6 E  s* D6 n
[
5 f2 I) j. e1 i# `) C/ p  grain-here      
: P; m5 i' h2 A5 L  max-grain-here  
4 h" ^! D  W, Y  l4 t) b! G0 C]" j. z% H, b: y+ R. Y
% ]: [" ?$ W* S' x6 z6 w
turtles-own
4 S; o' k, |$ r" @5 v4 z[# h& I0 a7 k2 c9 E9 K0 ?8 }' p
  age              
/ |  l0 u. S/ L4 V- `# R- c  wealth         
3 d% h. P9 R% `! P9 I  life-expectancy  / D' G1 T: O( I
  metabolism       + x( N) _0 [& T
  vision7 v2 _) G) V' k, I# |
  inherited         : P6 w2 i- k4 c; C( `4 v0 b: f
]6 W* k, T; w4 I0 o+ D# E

. a& @/ d# R+ T# V2 q& T4 z
# B# O+ P- R  b) [7 }+ m: \to setup, [/ i1 T" A) z3 P$ [$ {4 R3 j$ X9 r; S
  ca, K5 R. Y, R$ x4 V6 g3 ?  ?
  set max-grain 50, W0 V' E6 j- l% @
  setup-patches
6 h8 }9 v- ?; }+ ~& |4 O  setup-turtles/ ?1 `6 |! E' p, h9 Q2 M
  setup-plots" E( F- w& o" W; q0 {+ L
  update-plots8 O+ A- I! R/ \1 m( Z6 f) @  K
end
7 C- C+ r% v! {: Q2 Q6 jto setup-patches
! d* o/ L( n* c( ~) H2 R  ask patches
! |% S( R$ q- B0 i" p+ B    [ set max-grain-here 0: G) _6 t8 ~* N; ~
      if (random-float 100.0) <= percent-best-land6 F& f9 j' s0 ~3 [; f3 F
        [ set max-grain-here max-grain
$ ?% g1 G9 u2 d9 G* e; G- P          set grain-here max-grain-here ] ]
3 \  o8 |8 U& w1 V7 r  repeat 5! S4 k: }& p5 Y+ X4 l$ m: l  N
    [ ask patches with [max-grain-here != 0]
4 M, {( C- {3 ^6 y6 g        [ set grain-here max-grain-here ]" T0 J% j! s. e! w
      diffuse grain-here 0.5 ]" F" D/ D7 ~" r
  repeat 10% x0 _: m& O+ S
    [ diffuse grain-here 0.5]         
* E+ w( c6 B4 l8 I7 d7 N1 D3 Y* \  ask patches
; g( E6 v5 n1 Y: C% Q    [ set grain-here floor grain-here   
5 |1 [7 d) L5 k/ ~: B; D) U/ D' ~5 Z      set max-grain-here grain-here      8 Q$ J" w) S7 ~* R0 |) ^; A, f
      recolor-patch ]. `1 {, c; L( \8 ?
end
3 V) t3 W! A5 d7 R- Q4 d% mto recolor-patch  9 W+ g3 L; T/ P$ {- V$ h3 ~9 E
  set pcolor scale-color sky grain-here 0 max-grain
- D/ F! |5 Y& _5 r6 aend# Q" Z/ e( A) h  p; ~8 c
to setup-turtles
! o9 I$ E( a5 H- V  set-default-shape turtles "person"( X& g4 n( E$ N% V
  crt num-people
: \1 F  z  m7 d; Q. V    [ move-to one-of patches  * u' P6 q5 P3 c) R$ q
      set size 1.5  
5 }3 m$ @" \% J0 t0 S6 p0 \      set-initial-turtle-vars-age7 e6 R/ c8 D: [' ~. J5 C4 U
      set-initial-turtle-vars-wealth
7 L: U* a* a0 q9 }6 x1 W      set age random life-expectancy ]
7 \4 g8 r/ j- M  R; G  recolor-turtles; L1 {* V$ z' @' n1 D( O8 H2 q
end
0 e8 Z7 e, C1 f9 i( z' ~% ?  a7 n* R9 w8 n2 A
to set-initial-turtle-vars-age8 u7 Q; N5 h) ^
let max-wealth max [wealth] of turtles
$ J- E6 N9 P6 D9 u6 `/ s      n" i+ o( B8 g$ W: B
     ifelse (wealth <= max-wealth / 3)
7 L1 r2 J: J2 @' c$ ~% k% ?: _        [ set color red
/ h4 `0 G2 ?- N# x          set age 0
  F$ Z4 Y; [# o: @$ t          face one-of neighbors4
) T2 k% Z, O+ Z. G2 |8 f          set life-expectancy life-expectancy-min +) R/ ?6 ]# C, a/ q# _& ^
                        random life-expectancy-max
9 N  i) n. r) H+ p4 ?, W          set metabolism random 1 + metabolism-low
+ J5 ~6 N2 _/ ]# i" }! H1 s          set wealth metabolism + random 30
7 n- x1 g/ Y6 `# p7 x7 o          set vision 1 + random max-vision
* k+ q" q  P# ?# b             set wealth  wealth +  Wealth-inherited-low ]9 j7 c5 ~- x! N& W' u. h5 o
        [ ifelse (wealth <= (max-wealth * 2 / 3)): I% G& J; ]/ R. A# X& I
            [ set color yellow $ z6 r. S! A/ z' P4 r
              set age 0; ~' e  }: r+ k. V3 Y# L1 z! ~" Z
              face one-of neighbors4 ! x$ x; a. l! y3 [
              set life-expectancy life-expectancy-min +) n6 B7 O# b! _8 w  H! c
                        random life-expectancy-max + 1
6 A9 _4 z4 \: \/ g, B              set metabolism  1 + random metabolism-mid
2 F* @- F- A7 c8 ^4 q6 }              set wealth metabolism + random 304 g" K) w% b8 d" k4 [$ |
              set vision 3 + random max-vision
/ W5 ]5 j8 U; q$ d+ ?                set wealth  wealth + Wealth-inherited-mid]& ~5 P  B8 z1 ]* X4 Q. d
            [ set color green
8 i1 v: p3 l! b9 E2 U6 K, r              set age 0
- T# _% o( j3 ~7 [              face one-of neighbors4
% y) z; z+ A1 M              set life-expectancy life-expectancy-min +6 Q- g0 Q: E" e! [4 G
                        random life-expectancy-max  + 2
9 ^3 ?' H! w) I& E              set metabolism 2 + random metabolism-up
0 e& X  _% B  v  F+ W              set wealth metabolism + random 30; o: ?5 [( U  G/ y, L8 e
              set vision 3 + random max-vision- }& L. V% f! y: ^
              set wealth  wealth + Wealth-inherited-up ] ]   r$ V2 h+ D6 ~; B7 S% L
6 D. R$ h4 K3 x; Q* L
end
9 `  X0 t/ t4 B1 r) S* Y# S' {5 Lto set-initial-turtle-vars-wealth" i3 ]" Y" k# ~8 c! V- S
let max-wealth max [wealth] of turtles! D# J: v  h  m$ T6 y
          set age 0( q2 V9 ~' c/ Y  Q6 Q0 k- h' ~
          face one-of neighbors4 2 u* @/ ~( H3 u; z& T9 `
          set life-expectancy life-expectancy-min +
) o% o, Q/ w' }" w                        random life-expectancy-max
4 m' [/ R) E; w0 g4 D$ x* v9 [          set metabolism 1 + random metabolism-up# v& O: W$ `, n; g9 z9 D: `
          set wealth metabolism + random 30
" c5 i3 n, N$ m          set vision 1 + random max-vision 4 e. C" v7 L4 u5 O
end
1 h% r4 n/ h' e" G* g) Q! Sto redistribution# R1 I+ r% ^$ v
let max-wealth max [wealth] of turtles
  e2 V% d! u- {+ y2 j4 }% Clet min-wealth min [wealth] of turtles; b& E) |0 L0 y% i0 p* J
if (wealth <= max-wealth / 3)
3 }* J# I+ O. o [set wealth  wealth + Low-income-protection ]
7 o  A3 I& U/ G9 l7 w5 i' Uend" g6 b2 o0 [. b2 A8 y) S* y- N
         
4 w( r) u* }) }7 Y5 k9 [0 S& `to recolor-turtles
0 n8 \$ |6 ?! Y8 k  let max-wealth max [wealth] of turtles) }& u$ C: O# c! }
  ask turtles
# u! l. \$ E5 `3 n6 o. A$ b* T, N& a" N# Z/ _   [ ifelse (wealth <= max-wealth / 3)% Y! d. ]  `. I! Q: G
        [ set color red ]( \2 v" f2 H  _, y
        [ ifelse (wealth <= (max-wealth * 2 / 3))% |& I3 B( k0 F$ A4 I" ^4 `4 f
            [ set color yellow ]# a2 N. u3 R9 \9 I
            [ set color green ] ] ]
: [- v9 J9 K- n. c$ C! \; N; ? ask turtles [ifelse show-wealth?* X( O6 q: B/ W! h' g6 j" Y
    [ set label wealth ]
; g: t6 O  z7 n0 }9 ^3 O( q  M    [ set label "" ]]
0 |- D  {; }; k; _end
- d3 {7 X9 M1 i2 T- v, Z  s: q$ Y2 N. J* C8 \- s' g* J
to go
9 n& E) c/ B% c; W. u  ask turtles8 h% p& b: I: c+ d. T3 U
    [ turn-towards-grain ]  
3 L$ f0 e% O0 }/ u5 T$ h  ^& P6 J  harvest5 P3 w) m* |3 l. m/ d) W- \
  ask turtles& `5 u, b( {4 U( t: `
    [ move-eat-age-die ]' v  V; G& Y0 B1 k) L/ d
  recolor-turtles& M" E( X1 ]5 y% l
  if ticks mod grain-growth-interval = 0! j% E4 |* |7 d* u) f" c  U2 T, A, R
    [ ask patches [ grow-grain ] ]
, e1 D. O( q& s   
. B2 I6 `# v: O, E3 E  if ticks mod 11 = 07 v6 |3 n- k8 v7 t1 l
  [ask turtles
2 ^- O* t. B, h' m5 ]& O  [ redistribution ]]. Z, \4 v* j: z* _- M. w0 m, ^
  if ticks mod 5 = 02 o4 @6 j) |8 \+ ]* v2 y- x5 [- `
   [ask turtles
' o) ~1 K4 o% Y! |9 G# y2 t  [ visions ]]
. z! {2 S6 J5 v1 @( ^% d/ D6 v3 o  tick
+ D  `8 @- N: [6 e$ f* g  update-plots& t/ ]8 n" Q  R2 C  S& E: l
end
* [% O& O/ U# y9 ^8 f6 l* e! Ato visions+ v, x% n/ j9 q6 Y+ {$ C
set vision vision + 1
5 `0 b. [6 p; F% `- D8 \7 i& [0 Aend! U8 d- t: `7 j; T

1 [$ w$ E7 X* K7 d# Z+ ^2 u2 Y+ \* c- K7 Q
0 C: @: Z' J, w. s
to turn-towards-grain  8 r; a: r. U! ~/ G/ U# f& ?
  set heading 0
7 J1 J- R. I( `. }" P  let best-direction 0
3 T6 y$ [9 V) A- U  let best-amount grain-ahead
* F' h: b) ~# H  set heading 90# Z2 E7 g; M0 W8 O  O3 v
  if (grain-ahead > best-amount)
) R) W0 T/ l* V- ]    [ set best-direction 90
* w0 g6 n  Q, z$ V0 s      set best-amount grain-ahead ]: ~. Y8 h$ r, g9 q" ]+ G
  set heading 180
/ H& P/ n7 S% h: E) _  if (grain-ahead > best-amount)* a4 f6 a! e& s
    [ set best-direction 1806 P3 s' Z- J1 y$ Z: o! L& k
      set best-amount grain-ahead ]. f5 d  t. K4 m  P2 h& T. z6 p
  set heading 270- Y( x' J- t* ]
  if (grain-ahead > best-amount)
" b; ]9 W6 ^! G5 W; }    [ set best-direction 270* Y  z9 t+ E/ r% d' u& `
      set best-amount grain-ahead ]& u+ Q4 U& n: s' ?+ V
  set heading best-direction& L* z4 W; r- U0 g: T6 f7 H
end
. a: j- ^* N* k
, L& \5 e$ w) b- z6 A! |# ~0 B" k% F7 y/ z5 C0 f0 h
to-report grain-ahead  5 I  a7 ~) e: i3 o
  let total 0% j! C9 Y% X2 a* ]9 C( \
  let how-far 1  D* U1 @  }0 E; M, z2 M
  repeat vision) f( Q+ l' h4 v& Q
    [ set total total + [grain-here] of patch-ahead how-far
6 Q: c1 O- D5 [0 E, s  e1 ^      set how-far how-far + 1 ]
# s6 K; g" j' C) T  report total
% f( _/ m+ m' l8 Y1 R1 I/ Jend2 q5 o# d, p: t, `
" Q. U% ^. g; X
to grow-grain
9 U! H/ V9 U8 L  if (grain-here < max-grain-here)' Y* ^6 F1 A2 T: }0 f
    [ set grain-here grain-here + num-grain-grown# G! p1 V* K" j+ w9 g! E
      if (grain-here > max-grain-here) : ~* p- b+ q- W/ b: q! D
        [ set grain-here max-grain-here ]& H7 b, h1 L1 _
      recolor-patch ]
. p# R+ R$ l, E% W( v, gend
: B" l1 q' e. Sto harvest
/ B( U" @5 W: w- ]5 w' D  ask turtles5 v: k2 Z2 `/ \7 ~. n
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
( U8 H' Y( j* S9 l( F% z) G2 Q  ask turtles
) g: ~- m5 S2 J' E; g5 d2 {# z    [ set grain-here 05 y7 B7 y9 m8 d' i& m- ^5 g& B
      recolor-patch ]6 M9 |/ y3 O6 K3 G" ?, F. {
  : y7 F/ `3 P- m
end$ L& v- I6 _1 m* R  b' u. ~2 v3 Q
3 d, c' X+ @4 Z, y  F0 p# v; t
to move-eat-age-die  2 ]. [0 f1 V5 C' X% E5 z& U
  fd 1
% r) o, v5 s6 t6 k0 z7 S6 C  set wealth (wealth - metabolism)
* Q  A( U7 m0 x" \$ T3 S    set age (age + 1)
& K6 c) Z# o( w  if (age >= life-expectancy)# n( G, `% s. o. p2 `, c
    [ set-initial-turtle-vars-age ]
: c; {" _) C" J0 \2 ]  if (wealth < 0)6 t1 K- t8 y& N; |2 w
    [ set-initial-turtle-vars-wealth ]! ?$ \; e! Q$ x1 d
    ! N0 M+ z' q9 O
end6 B$ S! [) {* c% x! M
5 m* h; Q3 M: A

) A3 R: Y0 G6 P) z5 _  lto setup-plots
2 y' |6 I- g  K5 i+ O: z  set-current-plot "Class Plot"
, j) s+ d' q1 G% N  set-plot-y-range 0 num-people
0 z* x; M) i6 @  set-current-plot "Class Histogram"! x  H0 ^5 o4 g
  set-plot-y-range 0 num-people6 O/ |1 l+ Q* n6 q7 S- W7 t
end3 R6 k7 g4 m$ b* C& d

. Z! u& ^5 F8 M/ Ito update-plots9 z/ s% [4 p  z% u' ?! v& Y
  update-class-plot  [) D; }. N6 b. Y( E: |
  update-class-histogram% _6 {+ \. ~5 W+ W  y
  update-lorenz-and-gini-plots
* I& c% }+ E5 k2 ], j6 ~! Fend
  x1 R+ v* `# h. g! Q, w2 j: f+ E; R; L
to update-class-plot: @  m) b- x" Y; m1 X
  set-current-plot "Class Plot"8 N4 z' c- ^- z% E9 N# {) e! K4 S7 L
  set-current-plot-pen "low"
( h  q) M- L0 u2 A( D  plot count turtles with [color = red]
8 F3 Z/ c( L2 W  F  u+ q  set-current-plot-pen "mid"
+ t3 P0 D! h7 p% j# C  plot count turtles with [color = yellow]
- g- Q. A! u% L1 X  set-current-plot-pen "up"
: `4 ~$ F  A/ D3 U3 x3 _+ P  plot count turtles with [color = green]
' q6 k2 _2 l! j0 t8 Rend
) S: ^; c; f% y1 o- ~0 Y  {- Y+ u/ h- }6 ~) ^8 J
to update-class-histogram
" h' S; ]- Z. _$ ]  set-current-plot "Class Histogram"
1 y2 u( d/ _, }2 s  plot-pen-reset7 ~8 x* @$ m6 c* e9 e
  set-plot-pen-color red* B6 t" [7 C8 q0 X; Q3 i- Q
  plot count turtles with [color = red]
7 }. U6 x0 m0 P: _* B/ z  set-plot-pen-color yellow+ o( g3 U7 ]3 B) S
  plot count turtles with [color = yellow]
8 t+ s( q1 t+ D: a! x. Q  set-plot-pen-color green) x: p8 K+ T) K) G
  plot count turtles with [color = green]# K8 B/ }8 W/ i. Y
end
6 `* T* ]- Y* H" t2 G2 z8 Cto update-lorenz-and-gini-plots
! f! {, \: Q) d% p8 W5 k* S+ r  set-current-plot "Lorenz Curve"
9 q1 {: Z4 {$ T7 t. g  clear-plot
; T1 Y0 c6 u8 L+ {% ?/ @8 V( l# ~+ i$ i+ ?4 _
  set-current-plot-pen "equal"
! B: ]" F4 B! L) D! C# V  plot 0+ k, M# X1 X) g
  plot 100
. A/ F1 t5 Q+ G" ]3 l5 N8 S8 L7 M1 n1 Z
  set-current-plot-pen "lorenz") P  A; K+ @+ Y
  set-plot-pen-interval 100 / num-people
4 m$ T9 ^" W5 K  _3 F  plot 06 f( u' c; [( r

2 [3 K  ^! J# |; f7 B  let sorted-wealths sort [wealth] of turtles) n0 A& e! w- G7 E
  let total-wealth sum sorted-wealths
" q  p, Q% S; Y6 {  let wealth-sum-so-far 0
/ r8 r) s& ~* \  let index 09 H# Z" x% W1 t( T
  let gini-index-reserve 0, R4 M7 X& z& l3 c' a

" p, @; ~: P; i% o  o  repeat num-people [) S" H% ?9 _4 Z% ^# m: k- E
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)- [! R5 B" k0 s
    plot (wealth-sum-so-far / total-wealth) * 100' t- y4 g* }9 K7 M5 j
    set index (index + 1)
; Y# B' u1 D2 X    set gini-index-reserve
' M, M! c/ D* H3 U      gini-index-reserve +: u1 ~9 j3 m* w# T7 ?- `
      (index / num-people) -
8 H3 O3 @! n5 K% O      (wealth-sum-so-far / total-wealth)) v$ m3 a1 i2 F6 z  P
  ]5 _# r3 w: {8 D2 B0 e
. q- A9 L+ I1 o. ?
  set-current-plot "Gini-Index v. Time"
0 H6 Q* u0 M% H  plot (gini-index-reserve / num-people) / area-of-equality-triangle$ Y& V, N9 w7 X2 b
end* j) R3 @( f6 ~+ ?
to-report area-of-equality-triangle
. i  z+ D# y: a0 s7 r( K  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)5 V( W; s. ]  n3 }7 b* `
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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