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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
0 C: ~+ k" `% ]0 j& h. f5 zglobals
: i  j; [3 @8 j& Y* x[0 J" E1 L6 [' W$ J3 F7 c
  max-grain   
# I1 E, f, T" G& N5 H
! w) a$ v% Q; ?. v]. J. ~1 h" {) q0 Q7 G+ P! S
8 [: {& E: W3 l6 [
patches-own
$ B2 j) ^! i' r8 R+ w[9 H" [) `, O7 c1 ^2 ]1 d
  grain-here      
5 D+ ?, v, L5 x/ Z7 {- h  max-grain-here  ) {( Q  `6 E( h; @. z9 Y( F
]" z+ |# [) g% z5 P3 \

4 k2 ]  y5 k5 f& m1 Y9 Eturtles-own
/ U  Y0 B. U  F0 l[
7 W# a! t; _9 p. O: b  age              & S4 g7 |6 R- M8 N$ ~
  wealth         
8 s% P. A9 I" n- t) @  life-expectancy  / {: c6 x/ z1 o1 u% w/ \: a
  metabolism      
& ]5 `- k* w. H6 C7 @" ]% G9 [# V- m  vision/ |& D' h) X0 S
  inherited         
0 d# y3 r, U- ~$ w* R1 V( d]: D5 f6 X3 B* u/ q* [4 F

& t5 C% q+ j1 h, y/ {- a/ t+ ]
5 V4 Z0 F' t( @) P8 Z" |1 Hto setup7 [' Z$ i+ g8 }# J! ~8 ~9 O5 f
  ca1 R, W; o5 f3 s9 S. B1 `
  set max-grain 505 I7 z6 U2 n/ p( |8 f& S" P
  setup-patches
# p) C, S" d4 ~" I8 l; M2 M) j  setup-turtles5 E  _& D5 Q- y9 _
  setup-plots- d9 b; r* @# q5 @4 S: L- S
  update-plots4 f! ?  k, `. _1 [
end
# m' ~0 Y( q: _+ ?; G) B; v7 ^to setup-patches
# L+ ~+ h3 |% ^* y+ v& K  ask patches% a: j1 q5 Z4 j4 v8 W4 M$ Q
    [ set max-grain-here 0
- o. e/ G$ z, w8 w4 ~: B& h      if (random-float 100.0) <= percent-best-land- X; ~5 V. J+ F; I5 A2 L
        [ set max-grain-here max-grain
2 M4 j4 u' O) ~! F, l          set grain-here max-grain-here ] ]/ k8 S# N% L  {
  repeat 5
6 U7 ~9 A0 i% }$ [2 I/ r% m  @* Q    [ ask patches with [max-grain-here != 0]% O$ f/ `: y/ B- C# o$ O  x9 i3 M  @
        [ set grain-here max-grain-here ]
, t# b7 d+ S; @, {: y6 X      diffuse grain-here 0.5 ]; Q  f2 T! V% I9 S0 T
  repeat 10' c4 `0 ]; a. J* p
    [ diffuse grain-here 0.5]         
$ C  r) j  s& @3 p2 {' I  ask patches
1 k$ l  ]# J0 y( {5 `# U    [ set grain-here floor grain-here   
* d* q5 ^& P8 L: v) a2 j      set max-grain-here grain-here      
7 r" `' ^) k( f; a      recolor-patch ]
9 K% n3 c6 Y' S- ^$ N2 P, Oend
5 ?( l8 i# ~" [: v9 @9 Uto recolor-patch  ) l$ x+ o1 b5 S- M1 }
  set pcolor scale-color sky grain-here 0 max-grain
2 v% }' e3 _2 D( r3 B5 Qend
: [! E4 v5 L0 g$ m7 V5 ~) u7 Pto setup-turtles& U: F! w8 R7 l
  set-default-shape turtles "person"! R# {, m; l" l! R% ]" n
  crt num-people
) [/ Z5 L4 U- x    [ move-to one-of patches  
0 f! B( t# u: r5 O7 m      set size 1.5  
) i  E3 P7 Y  q1 i7 A6 b8 j0 R7 ~      set-initial-turtle-vars-age
+ J; u* ?0 k( Y* _7 I9 Z( i      set-initial-turtle-vars-wealth
, m4 `) d  a& z5 n# D) B' S7 |      set age random life-expectancy ]
/ W4 g% ^8 v+ H  recolor-turtles. T8 Q& w; r* |8 s. ?
end
2 V+ _$ g2 v( b/ G' X4 @6 V. o" @9 i  z$ {9 v: }6 R) O5 I
to set-initial-turtle-vars-age
3 F% e2 g, c/ I# |! c5 W& r let max-wealth max [wealth] of turtles
8 X) U# L! B$ K! |' J   
) H; V9 V' T. m4 Y7 R* s- \     ifelse (wealth <= max-wealth / 3)
$ r, ]6 _3 U  W. z0 a( O0 [        [ set color red * B; |6 q2 `, a' n# y
          set age 0
: K0 ~& g9 a1 m! M- W  x          face one-of neighbors4 6 T6 d4 m7 N5 V# U
          set life-expectancy life-expectancy-min +
2 N& J# }" J, ^+ z/ d! i3 ]! J2 E                        random life-expectancy-max
8 B8 }0 H: h2 y  n          set metabolism random 1 + metabolism-low
0 K2 B# q# f8 |- Q3 W          set wealth metabolism + random 30% v" _: Z. s" O- J. O: j5 b
          set vision 1 + random max-vision
5 o9 f# d3 K+ g+ V7 Y6 ?3 Q: `# K4 y             set wealth  wealth +  Wealth-inherited-low ]7 a4 M4 b. G* ]
        [ ifelse (wealth <= (max-wealth * 2 / 3))3 v0 @4 ~1 t3 O9 t
            [ set color yellow
/ t# B  y: o8 d9 p9 l              set age 0* y  M1 x6 D1 w4 |; L& G3 f
              face one-of neighbors4 " [  ?/ p# v2 k5 i& x( I
              set life-expectancy life-expectancy-min +" O- W* @) ~' r1 f7 m" b) H
                        random life-expectancy-max + 1: C5 c7 }8 i4 H) V$ y
              set metabolism  1 + random metabolism-mid
3 [6 D0 ~4 E2 M              set wealth metabolism + random 30
% G4 P1 r) p7 B( _5 O3 C              set vision 3 + random max-vision
; i* j6 j( t( `, V7 [6 ?                set wealth  wealth + Wealth-inherited-mid]' G6 F% p3 E! a# `5 w  \
            [ set color green
7 T3 T/ g! r3 R$ i6 f# ~              set age 0( q( u" u2 Y+ c. B( W1 a7 V
              face one-of neighbors4
5 x& Q- ^' D! E* r1 u+ h8 v+ \. D9 F              set life-expectancy life-expectancy-min +
" r1 s/ U9 s. r+ S! g                        random life-expectancy-max  + 2" K1 N0 J. [  _3 E1 q' O
              set metabolism 2 + random metabolism-up
' m2 {5 d6 y. }9 b% @! R( _! z( z& P              set wealth metabolism + random 30, h2 n& H1 K* u. I3 I: G- Z, l; j  B
              set vision 3 + random max-vision
2 m3 v9 f  `$ H9 Q              set wealth  wealth + Wealth-inherited-up ] ]
& m" S  x' F4 g# \8 {( v9 @' M
# u! d2 J/ u, V. Vend& E( f9 x7 Y' O
to set-initial-turtle-vars-wealth
) ]6 x- |0 i0 g" Y/ y let max-wealth max [wealth] of turtles- ]* f3 ?# g' O+ e
          set age 0
. G8 X2 N! G: k; F2 H/ t2 g- \          face one-of neighbors4
; A! z  G2 l: ?1 c+ R          set life-expectancy life-expectancy-min +
- J; c. }) H: z                        random life-expectancy-max
' Q0 @' Z( ]. o1 J/ T          set metabolism 1 + random metabolism-up, r  ]  n5 ]2 x  @4 J
          set wealth metabolism + random 30: G; w* x, N5 d& i4 t
          set vision 1 + random max-vision , r0 z* `, S' x# ]8 ~
end
! y9 H8 L/ f! G! {" y( t9 wto redistribution) g4 D+ s/ ]# G+ h: `) b; ^- b. `/ t
let max-wealth max [wealth] of turtles
$ I7 s4 z, Z1 Z5 {% c, g- `/ olet min-wealth min [wealth] of turtles3 X7 z) D. V' H; D5 N- f5 L
if (wealth <= max-wealth / 3)
1 P! w" x; J( G4 t- w [set wealth  wealth + Low-income-protection ]
: ]+ x( l8 u3 Z" gend% o7 f- l. H1 K' G
         
/ b% U' k' G+ k; {7 pto recolor-turtles
2 i# E' t1 b% F  u! f8 s  let max-wealth max [wealth] of turtles  Z9 [6 S, e: [1 m
  ask turtles
. Y+ G: g% D& w- M   [ ifelse (wealth <= max-wealth / 3)
/ L* K9 Z: |5 c9 y        [ set color red ]1 n/ [. ^3 Z9 i
        [ ifelse (wealth <= (max-wealth * 2 / 3))
2 l' N  g5 ~; u+ Q  i# V2 J& H            [ set color yellow ]* ~" l7 H  s$ C# D
            [ set color green ] ] ]
! [7 W$ ~0 q" b$ w# R2 x9 k% u ask turtles [ifelse show-wealth?: D/ R9 [7 T$ A
    [ set label wealth ]- b' z% M; K$ u2 ?1 I$ E
    [ set label "" ]]  @# [& O. e! [+ g
end* u* w* ]1 M4 M& E3 a
& E* S' s9 h0 s0 S
to go. |4 g) A+ f" s  `  k  W
  ask turtles) p5 h/ s, F* m! M0 D# ]! l
    [ turn-towards-grain ]  % U. q% n- W& P9 k( T3 D
  harvest* @0 B6 X* K. }+ k, k( f) i
  ask turtles
; W/ R- [. D5 M) g- [* ^    [ move-eat-age-die ]
% v$ o3 }" y. t5 k! F  recolor-turtles" a6 E8 T, `: b
  if ticks mod grain-growth-interval = 0" [$ R* R1 J( g% F8 x* D6 u
    [ ask patches [ grow-grain ] ]
  k  S; R5 o9 T  X/ t  e1 h7 b0 V   9 M! c' E  u$ \4 Q" k
  if ticks mod 11 = 08 p. X4 D& g1 L7 W2 x' t" D
  [ask turtles
5 Z, T- T7 |: k; `9 ^  [ redistribution ]]
! n' z6 |; m* O0 p  N$ e; o  if ticks mod 5 = 0
. b* X6 ]' ^0 }5 i3 k. I- {4 U. B   [ask turtles( W0 N8 R) \4 m( T0 q
  [ visions ]]# ?0 x/ v) p4 F7 i6 _! v( G; ^" ?- i) f
  tick
# r, Z. a1 d: q6 y/ ?% H  update-plots
3 h$ Q/ ~! Z$ `. wend
  G! p  Y. ^6 I9 _: g# xto visions
2 t  L0 c3 _* _) q" [9 w set vision vision + 1 ; Y0 z+ [2 R4 m7 O* p  d
end
, X& L5 a0 [2 X# t$ w& b1 \1 }+ ^( x9 K! t/ r

- S" H9 [: L( Y- @6 H6 z, F; A/ M; N
to turn-towards-grain  , u+ X5 o& g0 b! d* m
  set heading 0; p" c2 \  @, g# Y0 p
  let best-direction 0( d: `2 M, b) A) K1 j' O  Q6 i+ ~
  let best-amount grain-ahead
  P5 q: g5 {; U' H% q  set heading 904 u0 [3 W$ y8 J0 Z; x
  if (grain-ahead > best-amount)# J1 `" p7 _5 S; J% ~) B
    [ set best-direction 90
8 G) Q/ k% M7 t3 r4 s8 o      set best-amount grain-ahead ]. I9 s# f9 Y* {4 b
  set heading 1807 n1 r- ?; l. |/ z, J
  if (grain-ahead > best-amount)
# I4 I4 Q9 u  G6 h8 A6 o  ~    [ set best-direction 180
2 l% L. }: t" P      set best-amount grain-ahead ]( K5 T, Q! B# [* x
  set heading 270. {" j& n  z- ~7 K1 W( Y/ A
  if (grain-ahead > best-amount)  W, S6 E7 d$ Q3 q" b. V
    [ set best-direction 270
1 e8 D, j; A8 j5 B5 j      set best-amount grain-ahead ]" y% C5 I- M& ~- {
  set heading best-direction1 L9 d: c$ F- o. E* s0 B7 ^
end8 a; u- S" Z" g0 e7 l
4 `# Z- }0 Z& F( s  R% y' t/ [

* s$ p( V+ c# w* _: x3 S4 eto-report grain-ahead  
& p% W, W' z3 s% M8 s6 b' Z  let total 01 c1 X0 }8 R, \! a1 Y% ^
  let how-far 1' a- \9 }; e1 x. H7 F+ d0 X
  repeat vision
$ P4 z6 K9 _: m! y9 {    [ set total total + [grain-here] of patch-ahead how-far1 J( x7 n9 h5 p/ X; @! n/ E
      set how-far how-far + 1 ]
  Y2 v! {  `" `' K1 i/ C) Q  report total
; k3 ~7 a/ ]# [4 V- F7 mend
( m& \; O% M- }, c0 ~" |( m) g9 G& P3 B- ^
to grow-grain 1 p! b. s  A1 m+ ~# g* D
  if (grain-here < max-grain-here)
. H- f1 ]6 Z: D    [ set grain-here grain-here + num-grain-grown& @7 c4 X! f0 |1 `8 W9 {! M% d' O9 i
      if (grain-here > max-grain-here) # e7 c9 C/ U0 r% c
        [ set grain-here max-grain-here ]
. C- B  |: n0 \  I$ d4 A      recolor-patch ]
! J0 i3 r0 k" k9 y5 H6 h6 [end
. `6 o& J7 \( A9 ^to harvest' G/ u* L+ }3 X5 X0 C' k
  ask turtles
+ i  _- Z  A. K; D, f8 l1 X8 O: D8 V  N    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
1 J8 R- T, H, B. @" L  ask turtles
. o1 w0 x& K( G) ^9 e    [ set grain-here 0
6 Z5 M5 W9 \% Q) w# O' ?( ^, G& B      recolor-patch ]
' I' K" y+ k  }    o! V* U6 X/ q" s  v+ J& `
end
7 ^* C: _4 H/ I: S- ?( z
0 R3 q. a  p5 y& wto move-eat-age-die  6 P) A5 S3 b0 N) A; c9 Q
  fd 1
8 T4 q7 M# ]. `! W6 m) m+ {  \  set wealth (wealth - metabolism)( U- |2 q6 ]  j4 C6 G6 Q0 J8 m
    set age (age + 1)3 Z5 r% W8 c' m- d
  if (age >= life-expectancy), h9 w- S& [* R9 W
    [ set-initial-turtle-vars-age ]
0 s/ g- j% E! F* {  G0 Z; O. O  if (wealth < 0)
( x# i' a! O+ A4 O, F! b    [ set-initial-turtle-vars-wealth ]+ O5 W, l/ F6 P% k3 v' t: c
   
& o( H& T" N4 _1 Y- k7 M8 Kend5 \9 P0 Y/ z% G0 c( g6 @

% ]- E4 y! T( i4 t8 x0 J( J& r7 g' W# ?& w) z5 d" d1 e  B: a
to setup-plots
5 P1 x) H6 i- w& u  set-current-plot "Class Plot"
$ R" T$ |# h1 J8 o" E+ @3 Y$ L! Y8 [  set-plot-y-range 0 num-people
' x1 ]) B6 j' B8 |  set-current-plot "Class Histogram", M. h1 y& y% q$ d
  set-plot-y-range 0 num-people1 |) z( L4 I' I0 e
end
2 }! i: i1 Y) Y1 n8 ~0 K. G1 g3 ~5 T. q4 C; c% B' Z
to update-plots
3 r+ ~& a+ {4 P8 v  \  update-class-plot' ]+ H, i- W( C% ^
  update-class-histogram7 v5 x9 ~6 T; E7 ^( S
  update-lorenz-and-gini-plots4 m3 ^* r& \1 Q9 O0 ?7 R+ ]
end
' B. \( N' O' d; U. `: e6 q2 j  ]3 x3 y! ?9 g
to update-class-plot$ R; X- s/ I  O2 s  Z: x
  set-current-plot "Class Plot"' z2 H  [6 j5 K
  set-current-plot-pen "low"
. z  O. s6 V# J  plot count turtles with [color = red]' W0 o, c5 G& c4 N: V
  set-current-plot-pen "mid"" Z- \. x- [, U" S1 j
  plot count turtles with [color = yellow]! S2 b; G3 |2 |, Z
  set-current-plot-pen "up"% T  M! ^+ h- d0 C$ w
  plot count turtles with [color = green]
. e0 Y0 a9 v0 g  Y! Yend
8 A7 O  t' {$ k9 w; \. @; w4 U' q* J' X
to update-class-histogram& Z$ L4 W9 ?! t7 T7 |' x
  set-current-plot "Class Histogram"1 }3 Y; u; E  P0 m+ b& _
  plot-pen-reset
9 {* C3 }4 U% b3 \8 g  set-plot-pen-color red! K/ J( p6 c7 o5 g8 u
  plot count turtles with [color = red]! b! c" `' T9 `8 f) Q7 H) w2 P
  set-plot-pen-color yellow) X4 v1 `! S2 S" O8 x
  plot count turtles with [color = yellow]
% F# C/ l0 ~; M* E' I; x( I) C4 f  set-plot-pen-color green
- N: b" |, g  D6 M6 c  plot count turtles with [color = green]
# m+ b- i1 l7 R7 @+ jend
; ~; \7 d/ Q8 N4 d" ^to update-lorenz-and-gini-plots
) m, S2 r8 ?6 V0 R  set-current-plot "Lorenz Curve"
+ \1 p. g! \+ G  clear-plot( `; Q- k8 Y, n' F# G9 H. i
% j4 L! @' E: t. j& a1 j7 Y
  set-current-plot-pen "equal"3 V9 n# N' p- v2 _" g+ B- m
  plot 08 q$ S. _4 P+ G) K9 c
  plot 100% H: r4 h! {/ R# j2 {
' [( G! J$ ?( L3 G' e
  set-current-plot-pen "lorenz"; [. f: b. H( _7 C& I
  set-plot-pen-interval 100 / num-people
& u# R2 {- m) x$ L  plot 0: r6 B. Z4 x$ d0 h3 g  T. d7 u7 F

/ z3 b$ B  U! {) Q9 W  let sorted-wealths sort [wealth] of turtles
) I. X- F: `6 e  let total-wealth sum sorted-wealths, j& D- _% ?- Y  h. j5 V3 |) t/ q7 d
  let wealth-sum-so-far 0; [( x' U' ~( ^' K
  let index 0
  {  w! I  e6 S0 C) T' {3 p+ B  let gini-index-reserve 0
& f8 E; k# z* b9 l, H3 }# [' g% x- L0 D; _+ m
  repeat num-people [
! S+ l: C4 J/ W  a9 B    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)% Q( }7 L4 ~& }  D
    plot (wealth-sum-so-far / total-wealth) * 100# b- J# ]1 k$ B# z- I
    set index (index + 1)
2 {, F" ]8 T; R4 ~2 l    set gini-index-reserve" W7 u0 a* i2 |- b: m7 ^
      gini-index-reserve +/ [- [+ Z( X& L  W7 ~" r7 A" k
      (index / num-people) -
$ u, j$ P: r. Q# E; o. U9 V      (wealth-sum-so-far / total-wealth); d3 p% ?  v, |$ ]! d# j
  ]
3 |0 N1 |1 \' c6 k# y  T$ Y
/ o& q/ V+ c: p  set-current-plot "Gini-Index v. Time"( T9 \$ {6 M- R
  plot (gini-index-reserve / num-people) / area-of-equality-triangle! Y' d/ ~/ r# X/ H" }8 v. E
end
* p* s! Y9 ]- X6 K) Kto-report area-of-equality-triangle
1 {  M- d. v* G1 c. L$ p3 j  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
) l$ R. l, V: bend
 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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