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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 i: t* |7 I& {7 p9 v. D& G! d) |
globals+ l6 U1 N, e5 }! [4 R, L
[6 G3 P- F' r: h' ?- @* |2 A
  max-grain    ( q5 T/ K" U2 l9 L

0 I; B8 X6 J) b* `]. ~2 y  q5 M9 ^. n' n9 X
4 D9 S& @/ z! m4 [* F! v& ^
patches-own
( r) w3 Y' z! l- m$ d& Y  @1 k[; O7 i4 A1 |" r, N$ J# c
  grain-here      , X$ k0 c1 f9 T) O! s% s
  max-grain-here  
9 s- Y' n+ V% x6 |! V" ^]
  n5 V4 g0 x- _, \
8 k( R; R0 r1 v* iturtles-own% d" \2 T  d! T$ @2 Y. j
[
% b. ^; D* W% k5 T/ x; A/ |; [6 V( h* S  age              $ Y1 u! q1 l4 V! i
  wealth         
+ C3 @! F! u2 [( `2 N9 S9 O  life-expectancy  5 z0 s# i6 Z, m
  metabolism       0 a, v( Y4 M, V2 H
  vision& |5 b5 B( T+ l. Z; S- v
  inherited         ! B" c* T& ?& c: m! E  {8 z
]
  f, y( V! @9 z6 A3 z0 B4 U, w% l" J. o) b0 u
2 L% f! T: i' J
to setup1 }4 }- G/ U+ _% r3 m% G" y
  ca2 v9 Q$ M* I4 S. U, _  F) r
  set max-grain 50
1 O9 n2 V8 H7 P& S  setup-patches2 A+ c8 B' @1 L8 p6 W7 ~7 F
  setup-turtles( P1 v  t4 ~- ^  X0 Z  l/ y" T
  setup-plots; g9 O3 g! l2 t  G3 o" h7 S8 u
  update-plots
$ _0 D; x2 }; o. f% j$ ?$ _end: m! _( B, H  Q5 u* v' i: _) x/ w
to setup-patches# F& y6 l$ |- {; G
  ask patches: N- ~: R0 g+ ]/ m; K' V
    [ set max-grain-here 0" c9 C% j% b& ]/ X& ^, I
      if (random-float 100.0) <= percent-best-land
) t7 a& E1 Y" P( ~$ J2 |        [ set max-grain-here max-grain6 _7 v& X* z( c* [
          set grain-here max-grain-here ] ]
5 }- u: ^/ f9 W4 g9 t" j  repeat 50 ^0 `4 U0 c* O& n
    [ ask patches with [max-grain-here != 0]
! E( h" q; |4 B! j        [ set grain-here max-grain-here ]# K& o. v6 u9 m9 ]- |  N9 [6 p
      diffuse grain-here 0.5 ]
% d* ]3 b' R. g( Z& ]# n' K. Y  repeat 10
6 v% ^9 C; y5 n9 Y/ L    [ diffuse grain-here 0.5]          / G5 r- i+ y: E( i) u* F0 ^
  ask patches* w: m. W: E* R0 X/ T; ]
    [ set grain-here floor grain-here   
! |( s" b8 N+ Q4 \  k4 g      set max-grain-here grain-here      - ^! w. T0 f1 t$ Y1 q) x: m$ @' Y
      recolor-patch ]3 T( V& V5 h9 D4 a! k3 t3 W4 S. T+ c
end+ Y# g& O( {- |& m; X; H
to recolor-patch  4 C" S4 _; e. h# y
  set pcolor scale-color sky grain-here 0 max-grain4 g; C1 m. u9 [8 ?# L7 ~
end
, c+ }9 k. \& O+ s' P) Uto setup-turtles
3 U: L( E& g! C' f' P' D! b# H% |  set-default-shape turtles "person"3 {  v. Y3 z  k
  crt num-people
. D( {& g9 `* E2 a$ }1 H  m6 |    [ move-to one-of patches  . ?0 L5 m0 I9 R5 Q' y( T+ [
      set size 1.5  
& H4 x# f# t- S% O      set-initial-turtle-vars-age# N- r  Q' y' v" g
      set-initial-turtle-vars-wealth
5 \  ~) g+ e6 t      set age random life-expectancy ]* O" v. j' \7 C; w1 r
  recolor-turtles
8 \5 Z& F7 @+ c2 S' ~& fend
" c. D& M' i$ K6 M# o. l5 x
9 A, Q, G$ W* v, x/ pto set-initial-turtle-vars-age
, F) n( W" x1 P. z let max-wealth max [wealth] of turtles
7 q* z( c. p* U2 A3 o    ) C( D3 L" r/ L* n8 r. |
     ifelse (wealth <= max-wealth / 3), g+ s- b# D' g
        [ set color red 9 u: S) b2 y$ `2 ~) z1 ^
          set age 0
: l& U& U( m% D          face one-of neighbors4
; Y7 L" J" p7 J- Z* f          set life-expectancy life-expectancy-min +
# c: L! V1 F! o8 ]; N                        random life-expectancy-max
/ h4 [4 }! E: e" |( k          set metabolism random 1 + metabolism-low
4 H+ S6 [* c( Y( D) Y: r          set wealth metabolism + random 30# O* ?6 i9 m. |( I# U4 k
          set vision 1 + random max-vision, e) v+ V+ @1 Q, S) ]
             set wealth  wealth +  Wealth-inherited-low ]$ g7 w' H: X. G7 H7 `
        [ ifelse (wealth <= (max-wealth * 2 / 3))/ G2 Q# f2 J4 P# K+ W& d& X
            [ set color yellow ( E* L, s% }/ B
              set age 0
# f) s# ^/ |3 L& {% w              face one-of neighbors4
% @8 L/ @; n# ~; y% m' U% f              set life-expectancy life-expectancy-min +
* V, C. J; J4 m. X2 Z0 i7 U                        random life-expectancy-max + 1
; X" Y* w2 E3 }              set metabolism  1 + random metabolism-mid
! _+ r! w( P2 N  |- B5 p              set wealth metabolism + random 30: H$ O" ]3 v5 C& P9 ]9 p$ N- X
              set vision 3 + random max-vision
7 @: \) `/ E: f- @: R                set wealth  wealth + Wealth-inherited-mid]8 Q( @  G2 W9 o7 P
            [ set color green : s7 a, R+ I6 n8 h2 f* \: L% Q
              set age 09 T' A" \& B* }0 V) a% H
              face one-of neighbors4 7 t% u  w7 I+ D: w3 I/ u: Y0 @, W
              set life-expectancy life-expectancy-min +0 g7 ~" B9 T( u6 n1 e; V
                        random life-expectancy-max  + 2" {3 S( C" |/ d, e
              set metabolism 2 + random metabolism-up; T* d! U! ?& U) Z0 t" E2 q
              set wealth metabolism + random 30
9 R) I( I- Y4 Y. @              set vision 3 + random max-vision# V, g8 K+ }+ D2 X
              set wealth  wealth + Wealth-inherited-up ] ]
, V( Z0 _9 w, W; ]* E& Y
1 v! ~: C" P) ^# j# y& b9 wend
& Q" s9 K1 `9 o$ Uto set-initial-turtle-vars-wealth5 C0 G5 O* K% [- e% B  `0 i- S
let max-wealth max [wealth] of turtles
% W  `1 v4 u" [" p; C          set age 0
9 S8 s) B5 ~6 j! e: O. m9 T          face one-of neighbors4 9 N; I3 o! J7 q  k% q
          set life-expectancy life-expectancy-min +0 r1 j0 K# R9 v0 ?9 z, _
                        random life-expectancy-max
  R) ^5 Q3 w7 [; @          set metabolism 1 + random metabolism-up
) N$ Q8 q" x  ]! x- F& p( J$ Y          set wealth metabolism + random 30* x# a7 f3 D7 v: V6 R
          set vision 1 + random max-vision 0 O  A+ ]6 A2 q& a+ a1 q1 K
end
$ a4 ~' A0 b* R+ X0 n+ ito redistribution# N* I+ ^2 V; ]8 h9 E/ j' ^
let max-wealth max [wealth] of turtles
, `# F' g& E; V* \let min-wealth min [wealth] of turtles: z( M, ?. x! i; _
if (wealth <= max-wealth / 3)2 _0 b, q3 v: \. c2 E; v
[set wealth  wealth + Low-income-protection ]: y! P% u2 g) R6 r8 u* ^
end5 Z. D  Y2 b# e9 f+ G8 t8 L2 ^! J
          ' a5 ^' i3 r/ f& p/ ~
to recolor-turtles; Y' o4 b9 @/ D  h
  let max-wealth max [wealth] of turtles, X( C! k/ M+ E9 u% u
  ask turtles7 E( ~, b. A0 v/ C; D; J4 |5 Z# |* k
   [ ifelse (wealth <= max-wealth / 3)
% V9 x) l. O  a' V: G        [ set color red ]
4 i- R/ D- d/ ^' T        [ ifelse (wealth <= (max-wealth * 2 / 3))/ _4 n& @7 u, y; Z- S6 ^
            [ set color yellow ]
6 p# P2 }$ X. I7 q            [ set color green ] ] ]
0 \% w8 m, Q4 e: F4 M9 ` ask turtles [ifelse show-wealth?
7 I+ u$ L3 ^9 M6 p) u1 r    [ set label wealth ]. _6 k. k/ `" }/ M$ h% T2 q! c
    [ set label "" ]]1 V! F8 J6 V. W# A$ S4 E" v* y
end
0 r5 W: c' d# A1 p0 c; A
, c# y6 S% H% k9 _& T* _9 W4 Qto go# \5 j, V: R: d4 v( y5 V
  ask turtles* f# y% }1 I6 j% x8 ?" X
    [ turn-towards-grain ]  8 G" ?7 |7 ]9 `! w, v8 q, \4 g
  harvest9 F9 O' E9 l" R1 h- ?
  ask turtles
0 x( {! v5 l% l9 q" D3 \; t% a    [ move-eat-age-die ]( c" ~2 Y9 y0 g5 t1 i/ w" E
  recolor-turtles
9 F+ r5 l# n# z9 n+ n5 ]4 _# ^& ?  if ticks mod grain-growth-interval = 0# p" ?9 G% A4 V: \
    [ ask patches [ grow-grain ] ]4 R- a6 `0 n( A. n: E
   
+ B1 E+ e. @  J8 `1 F  if ticks mod 11 = 0
$ E# \  ]/ Q5 s% q  [ask turtles
6 r# x$ _* s6 F  [ redistribution ]]
: d# Q3 x: B. Y. V. R0 ^  if ticks mod 5 = 0
: `. T+ |1 x; {6 x   [ask turtles' U; P% @7 A6 R8 D3 X
  [ visions ]]) M, a, \( j( S3 V/ g
  tick
/ c0 p: h4 [- _0 d  update-plots
9 m! u- D4 t9 F% K/ eend: n" K9 x- I: N: z' T8 Q% R
to visions, `  V6 _2 z/ n9 L
set vision vision + 1
& B0 P7 l1 X0 V. |end
0 I" ?' }0 g% s9 V" g8 {+ y
8 R- Z& K: m* o  w1 V) u8 K1 A. S6 [, |" U

, {7 t$ e: O) a, xto turn-towards-grain  
( M" f4 p0 z- o" m  set heading 0
: [. p; s; k6 [* w  let best-direction 0
: [% F* w# c3 [6 N2 L7 O$ B6 h  let best-amount grain-ahead
& }) q9 w$ y+ g) P  set heading 909 L) T$ O# d+ z/ k' \; a3 Z$ y2 `
  if (grain-ahead > best-amount). e5 Z% L+ z1 p0 e5 e, ]2 h
    [ set best-direction 90' i# _3 h7 P- R$ T. H# u4 f
      set best-amount grain-ahead ]
9 b8 L& Y  y$ j. u! d  set heading 180  ^* j0 B" G8 w, j6 w/ b/ ^" ~
  if (grain-ahead > best-amount)* d& y" n% _, }2 [
    [ set best-direction 180/ x+ q3 d4 b' X* n
      set best-amount grain-ahead ]
( W: J& Y' b% k  N/ f  set heading 270) `) }, n" K2 n0 P/ h
  if (grain-ahead > best-amount)
8 z. _' C4 n3 s+ H    [ set best-direction 270- C# X5 E1 V9 s4 l7 H( i3 R; }
      set best-amount grain-ahead ]* w  [3 b* R  k( E  P. q* i
  set heading best-direction, Q  ?; F% r/ C
end  F6 C6 j* z9 T. e- L) @
; k' G7 N8 I4 k. h- p

& [" K& D" P/ h0 B# L( z8 b! Ato-report grain-ahead  . N' y0 A6 W# F  {
  let total 05 Q# i+ ^" m- e0 b
  let how-far 1  z4 L9 `6 {! w5 p
  repeat vision% N! S# J* l' n( x3 q% W
    [ set total total + [grain-here] of patch-ahead how-far
& Z; T7 f  B2 ?0 `/ I1 @$ D      set how-far how-far + 1 ]) j6 n8 @+ T+ ~5 H
  report total
6 ?: y! g6 V0 jend) t1 |: F& p& S6 I8 b1 Z

% k6 K* w  T1 d- E$ g" I2 rto grow-grain
% h, l9 E8 b1 ]% F5 y) A4 M  if (grain-here < max-grain-here)$ y( v, `- u! |0 C. e0 l6 k
    [ set grain-here grain-here + num-grain-grown
$ b- H6 I* L. S0 S4 r  }  E      if (grain-here > max-grain-here) % [5 Y, v- l2 q7 x1 n
        [ set grain-here max-grain-here ]' K6 K8 n5 q. R4 V# V
      recolor-patch ]$ d' J% s# f: F/ }4 ^
end+ x8 g! G  X6 W0 ~' h
to harvest
4 E) v, e. H; W6 A4 N( N  ask turtles: D, T7 G# e' E7 \3 S
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
' F7 G! B8 W! l& @/ ^  ask turtles
. g- A4 ^- [) ]1 J4 \; Q; ]  o    [ set grain-here 0) B4 N0 {% G" Q! S) q' Z
      recolor-patch ]
9 k- r0 T  d0 N( h: W  1 ^1 ?5 w- U/ M* d
end. o" N% u% l. t5 Q( V8 J
: f; B+ c# U  K  p
to move-eat-age-die  4 I$ W* U+ ~0 ~' s/ {+ }$ Q, {6 N
  fd 16 f4 V  N. F* i8 t) H1 p
  set wealth (wealth - metabolism)
  s2 t# `0 d' i/ d  m& c( n3 @    set age (age + 1)4 f6 u# \4 I4 E. W
  if (age >= life-expectancy)
  p. @% f. U3 @8 }* ~1 S$ S% C* D    [ set-initial-turtle-vars-age ]+ P# B2 \  \; E' B+ X; L
  if (wealth < 0)
1 R' w/ [' V* f2 |! h    [ set-initial-turtle-vars-wealth ]1 z' ~  J4 f# ~4 @
   
, A3 s, k4 J9 T7 h0 A& @. W  Eend
# `! a! o$ h  k* F3 y' D' ~  _1 I6 B5 y5 a

; D- g7 p8 b! {3 L  Y, U7 tto setup-plots6 {1 ^' W, n/ I
  set-current-plot "Class Plot"% s- o3 R% i/ Y/ {
  set-plot-y-range 0 num-people
- F$ L  U; w% O+ m- Z. L  set-current-plot "Class Histogram"
# Q: x  Z' h& h$ E  set-plot-y-range 0 num-people5 r% P) X+ a' R* M2 F: g" h
end
* A) _, y3 R/ p5 y5 I2 ^, ~  i! |, r4 Y9 s  Y# h" M# [
to update-plots
' u" r% j5 d. T! D( }1 ?( |  update-class-plot, T1 _" O- l8 u& X
  update-class-histogram1 K1 O& Z, p, s* D. S
  update-lorenz-and-gini-plots! O' Y+ V6 D- o9 u/ o  X6 T' \
end
0 \8 v' t6 @) y: t+ n" ^' S4 G9 h3 C( s, K0 D# _- ^4 R
to update-class-plot
" u# W1 J% _- ^) z# [* Z$ j  set-current-plot "Class Plot"
5 I+ R5 h0 t' _2 Z8 s; L$ c) O  set-current-plot-pen "low"
& x0 T, s9 O. ]) N  B/ k8 I' |* g  plot count turtles with [color = red]. E7 o% E" X# [6 d5 f, D
  set-current-plot-pen "mid"
; t8 @  q1 J1 i5 O  plot count turtles with [color = yellow], W$ a* z4 D  P. Z, v8 E) K9 p
  set-current-plot-pen "up"7 f) H2 |: O3 k& m0 k' z
  plot count turtles with [color = green]8 g9 ^5 L9 w% e& G7 x( u
end
* g$ D. J2 Y! a3 ]
) A/ }! G% z% e0 B0 J! fto update-class-histogram
" T' U* Y) R" {$ Z+ `& G+ t  set-current-plot "Class Histogram"( Z* s; d. C% {. I2 S/ U
  plot-pen-reset+ j3 k# k( R8 g1 ~
  set-plot-pen-color red
& k1 L" X% K1 K. r9 i( k, o7 w! Z  plot count turtles with [color = red]
. J; `, B7 V/ ~  D2 @" n) P0 U  set-plot-pen-color yellow% p( S! Q0 l( D  B
  plot count turtles with [color = yellow]
' q1 A* I2 |, Q7 b  set-plot-pen-color green, \5 a8 X; ~: a, @
  plot count turtles with [color = green]
- \6 Q( s; }0 Aend5 a. o1 w# K8 B0 G4 q  i4 O
to update-lorenz-and-gini-plots
; k  ?& L; m" M' X6 w- p% M  set-current-plot "Lorenz Curve"
. _2 B7 B$ e" h# C* P3 p/ ^  clear-plot
5 a& x& R- m% f/ @' K- t# k+ a3 c: ~* O) p3 N! G' p
  set-current-plot-pen "equal"
( Y& i6 V" _: E* d3 }7 d; S  plot 0$ e2 |( ^" A, N& N/ K% ]! ]( s
  plot 100
3 W" C! r; A! U4 j( R% m$ c: g' A" s9 H% O  z
  set-current-plot-pen "lorenz"
' o" H: p* [0 V& x$ _  set-plot-pen-interval 100 / num-people
' B- ]1 W1 p4 v! t' I. C5 J1 _  plot 0* ^7 e2 T& b3 p% m1 A2 i0 T5 ]% y
, ]; j  ^& p5 n
  let sorted-wealths sort [wealth] of turtles! L- i- I- X5 p; v
  let total-wealth sum sorted-wealths
8 ~# m# ]1 @4 \! ~  let wealth-sum-so-far 07 b8 z# y9 M0 T- F; P; w
  let index 03 _: B9 U! ?3 `& v
  let gini-index-reserve 0
+ d, h) ]3 P, |6 t7 B9 M) O1 }% N9 ]8 O$ J' I8 c
  repeat num-people [
& H1 |* H: t8 |1 ]    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)# F1 ^) _, m1 M( |7 n! }* }' W
    plot (wealth-sum-so-far / total-wealth) * 100( r4 S; c, h4 p9 }
    set index (index + 1); v' h4 ^0 x4 D7 R9 b
    set gini-index-reserve
/ `- A3 P/ _3 G# C      gini-index-reserve +
2 Q% Q( n4 @0 @1 U2 p      (index / num-people) -! y; B5 S2 k6 }( z3 s- ?+ N) g, l9 t. b
      (wealth-sum-so-far / total-wealth)% x6 A* k; C$ w9 l& {# g' |- R/ [
  ]
3 d: W% ~" d( [0 p# B
& A1 c6 [3 t# ?- D  set-current-plot "Gini-Index v. Time"
  B- P+ D2 ~- u9 b1 M2 k( W  plot (gini-index-reserve / num-people) / area-of-equality-triangle
& M% |0 E* z& B1 z2 p* k* _+ c8 c1 ~5 aend
& o$ B0 f$ U" m, }to-report area-of-equality-triangle
: t, v, m, a( a* p# Z  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
/ }) y$ i9 O+ ?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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