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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& B8 K) }, ?8 I9 R3 K! z. A
globals
7 O1 }7 U# L. _" k; c[
4 a8 K( H) [' `9 V1 t  max-grain   
* V+ K6 \/ L2 F1 y& F) Q3 W: f- }. F. }
]
' b4 ]% q4 b0 F3 v) @, L
' h) @! P) G6 T7 F0 o# u5 u0 Hpatches-own
7 B* H) ~. E7 V* c3 q+ i9 P[9 \8 ?8 |5 ^$ z3 O1 D- f2 u" V7 P8 R
  grain-here      2 f) {8 N* ?  f" W$ a9 R
  max-grain-here  1 X/ B% h1 h1 M1 B; @/ j; c
]
5 c: \% T! H, ^. I* h& j. o3 m9 n4 A2 L9 Q* u: J4 ^, d5 r1 K
turtles-own
% S* Q# Z. P1 L! C1 H- J[
! ?. b- J; e2 z$ v  X" y! X  age              
& Z! U$ D& A; Z9 \1 V0 b. z- Y  wealth         
% G* Q5 h% m$ e7 j) A0 ^3 t' z, w  life-expectancy  $ W) k! z) _4 t
  metabolism      
  Q7 l/ O& t6 {# u0 v3 Z  vision8 P  y8 l1 `  G/ \/ r0 s  `9 f0 @$ x/ q
  inherited         
+ U- N- ]( h5 c. ?]4 D0 D* Z1 ~" K& E7 H

  C' _" M- ~3 R+ W: G; v
6 i; Q( T  j9 ~% L5 Hto setup
* H+ Z. P: d  z2 B2 @$ S9 D  ca
. I7 u! ~9 N" I8 Y5 i  set max-grain 505 E( K: v+ v( m. ~) k
  setup-patches
$ _/ r: W$ V% \" F+ Y7 j$ J+ u, D5 D  setup-turtles
6 H4 Q, h: t( X8 g! L  setup-plots8 S; H) o( A0 \* ]$ ^
  update-plots
0 r7 [$ g8 T! bend- E% f9 O! \4 h4 z
to setup-patches/ V: p5 i" X$ H
  ask patches& j8 U4 x3 z5 l* U9 g5 R, C; F
    [ set max-grain-here 0  }' }% t$ m3 e, C5 s* {
      if (random-float 100.0) <= percent-best-land
1 Z# U" W9 d' I; ?        [ set max-grain-here max-grain
0 a7 ]6 f( A" V8 L5 Y) W          set grain-here max-grain-here ] ]9 e! H$ I8 o$ k' \9 C0 i2 U# ~
  repeat 5# d" p8 R, F' [" b; M0 q6 k1 U8 J
    [ ask patches with [max-grain-here != 0]
3 f& f$ e- T. Q2 |2 b2 o+ }0 B  {6 z        [ set grain-here max-grain-here ]" @" p% d# y7 s; R/ P- ?. \
      diffuse grain-here 0.5 ]
- t/ ~7 I8 _7 v. b6 J- F! H  repeat 10
& T- o) B8 g9 V" O; e    [ diffuse grain-here 0.5]          1 r% N1 B# B% b0 e
  ask patches
- B8 M8 o& `6 I4 [  H    [ set grain-here floor grain-here    : t/ w1 t. f) `0 W2 ?) @
      set max-grain-here grain-here      
9 c$ L$ ~& X  j$ d% l' j$ l      recolor-patch ]
  X. R" e4 z8 ]! z: t6 N% z8 [$ wend
0 v5 f4 u! N6 P' ]to recolor-patch  , V* [) {8 U+ f! ~7 y8 W
  set pcolor scale-color sky grain-here 0 max-grain5 G! e# O1 |% |  h
end
& @+ Y+ y  ]& v$ {+ D/ mto setup-turtles; {& i% b, C7 S; v
  set-default-shape turtles "person"; u6 p1 u  I* }) ~4 Z& }/ W5 m
  crt num-people: j: `7 w9 o1 M& i
    [ move-to one-of patches  ( X. H  }: p$ v
      set size 1.5  4 F# u9 ^7 P- k) s2 H2 q4 h
      set-initial-turtle-vars-age
" Z3 g; n* S3 s      set-initial-turtle-vars-wealth
% K! l# s9 h' [# K" f/ E      set age random life-expectancy ]
& U( J6 Q+ \1 J7 b/ A/ K8 r  recolor-turtles
, V% a( q/ ^3 i) uend
4 w/ ]! F$ L) ]' T8 Y/ Z  u/ E( Q% o3 Z1 T" V  C" O, j$ E0 K
to set-initial-turtle-vars-age
2 l! L( ]4 o# @' d  p1 C let max-wealth max [wealth] of turtles
! Q7 p  D5 d: X( m  }' [% P9 M) D0 |   
8 m2 O1 Y1 t/ L     ifelse (wealth <= max-wealth / 3)
' t" h/ m  }. [+ l: h. w        [ set color red ' A& X) r0 `' V( q/ V
          set age 04 u7 b0 m7 H) I+ g  p7 v
          face one-of neighbors4 0 u9 t. u# T7 F: A, z* G7 m- l
          set life-expectancy life-expectancy-min +
0 N) \+ q6 h: K0 k                        random life-expectancy-max * W. }0 x. O- z
          set metabolism random 1 + metabolism-low
1 H1 A$ l: e# ~/ G          set wealth metabolism + random 30
; H7 B+ z- r% [* l          set vision 1 + random max-vision
# x; V' t- Z+ H  p& ?7 ?4 d. d! y             set wealth  wealth +  Wealth-inherited-low ]
: L% w1 h8 S& G* ]) u        [ ifelse (wealth <= (max-wealth * 2 / 3))
' P) c* Z; }4 i) Y            [ set color yellow
  c/ X' M& @' ^: {9 m: e' U              set age 0
  c% @# o( U, S7 b# Z% M              face one-of neighbors4 ' U) ?1 ?# m3 Z0 I
              set life-expectancy life-expectancy-min +" ^+ {% S5 _' O' v0 u7 Q
                        random life-expectancy-max + 1
' C- h) U9 P! s1 {; M- w              set metabolism  1 + random metabolism-mid) @$ n: i4 r2 `
              set wealth metabolism + random 30. R# G3 f+ Q7 T% m( J/ _1 }; w
              set vision 3 + random max-vision# h5 M( [: y$ _# T/ r: ^8 o
                set wealth  wealth + Wealth-inherited-mid]+ O8 r; B5 v0 V0 C
            [ set color green & Y, s) g8 V4 \4 v
              set age 0% Q% W! u0 P. k/ V! k6 x* @
              face one-of neighbors4
1 ~% O  O2 O1 j/ `1 m1 b              set life-expectancy life-expectancy-min +7 r' z' |1 \# H1 _5 r1 B1 h
                        random life-expectancy-max  + 2
! y1 |$ p0 N. M* ~" W/ Q1 t; b              set metabolism 2 + random metabolism-up" b5 [3 |6 w: W) a/ }
              set wealth metabolism + random 30
6 r: f2 N8 g, {( p9 ~- d              set vision 3 + random max-vision9 ~( H2 r/ z' l6 c6 p2 a
              set wealth  wealth + Wealth-inherited-up ] ] 5 D& Z' p! b6 O: N4 S+ @9 r
% K/ |. X, G, S; k% X
end
8 Z; L  l3 Z$ l: C( x9 wto set-initial-turtle-vars-wealth( b- r2 W, C. e! j
let max-wealth max [wealth] of turtles
$ [7 n) Y7 E+ O- M2 ~) ~          set age 0% b; U# G+ t& k0 A" G) v. _
          face one-of neighbors4 - {7 K1 H2 x8 F2 ~
          set life-expectancy life-expectancy-min +
, U# g' ?, K: O8 l  H! C                        random life-expectancy-max
' I" f. H) i. J4 D9 V          set metabolism 1 + random metabolism-up
) l" e5 ~& \+ @! ~6 }6 m. M          set wealth metabolism + random 309 Y9 D$ \& y, H7 z# S
          set vision 1 + random max-vision & E0 T9 P1 V3 M" w) P
end
. e( z- Y2 `. e. t* C$ e7 Rto redistribution
: C3 ]2 \3 r6 |/ [2 V) Blet max-wealth max [wealth] of turtles
+ z: M( F2 I! ?9 w0 ]let min-wealth min [wealth] of turtles1 w$ x( t+ W" k4 b) h
if (wealth <= max-wealth / 3)( m" P, H' O2 ]3 _" E  `# j
[set wealth  wealth + Low-income-protection ]
% s, w8 P& i& d6 K" k" fend
  n3 {9 y  V4 `# y$ n         
4 a5 m. n) s' lto recolor-turtles% H+ R: T- T: U" c7 G
  let max-wealth max [wealth] of turtles
6 l& T' i) e- I& H+ F- Z- C; W  ask turtles
, P) w* A3 C$ W; ~   [ ifelse (wealth <= max-wealth / 3)
" g  w& }4 F: G! K: `; @  ]        [ set color red ]
) E" N) j3 |& [. x( i# Y* G        [ ifelse (wealth <= (max-wealth * 2 / 3))1 R! c7 g" A4 c, [2 Q* ^9 s$ t
            [ set color yellow ]
' a& Z+ O7 R0 o- _  }+ W# k5 @            [ set color green ] ] ]
4 T" h! |- P- S ask turtles [ifelse show-wealth?
1 [' Z0 L# M- ^; ?    [ set label wealth ]
5 Y7 f0 @* ?* N4 s, D/ @8 n    [ set label "" ]]4 a8 g+ O7 l7 R2 z8 ?
end/ M# ?" B# E, J) z( i* B6 {8 e
" ^: x; H) K) S, ?: ~7 z) `7 t
to go3 D; }* {4 K( C6 R- K3 G: J/ [$ H
  ask turtles2 I" i, K! T+ ?8 L8 E7 j  S
    [ turn-towards-grain ]  ) a2 `/ P9 X/ F( X' r! m/ W! _
  harvest
) t2 p$ k, E8 r& W" R* N2 ^  ask turtles
# C+ E2 z+ A7 q1 O    [ move-eat-age-die ]) s8 ]7 K; `7 S
  recolor-turtles
" E' {$ y' g3 c+ r  if ticks mod grain-growth-interval = 0
. t& p. l: j1 x( \* ]. ?+ z! [4 K2 {    [ ask patches [ grow-grain ] ]
" i0 {6 F# Y8 Q   
% [7 I! Z7 l6 p6 A9 K, F  if ticks mod 11 = 0
* o# F6 @" }' i2 U5 i# Z  [ask turtles
% N# G6 @& D+ U8 L: k- V5 I, F  [ redistribution ]]+ M$ o) W% N* I, T2 D/ `) m, k% h( Y
  if ticks mod 5 = 0
* _- d8 N6 Y4 Y1 Q' @/ M6 ]8 P5 H   [ask turtles
% r' k! g: H1 |4 x6 q  [ visions ]], m, I& S0 R. {! n9 e3 j5 V: @0 m, K
  tick0 [8 ^/ m! K/ R+ j: o0 s# s. Y: {7 C
  update-plots
' l; h7 w: W; z/ Eend$ q) `5 K/ m3 B- l" D/ w
to visions' X0 ^8 l5 h: e  Q8 h! C" q, H  R8 z2 D
set vision vision + 1 5 \5 C! m7 w; c! M) |% C: A
end
5 N2 e4 q  n' |8 L+ ?2 i2 w3 c1 e  |3 L8 n0 h8 w$ M9 o' j

2 n- B$ |# t* b2 d1 N- R+ N' T! `) I
to turn-towards-grain  
2 h( C2 }/ d, D# ~6 P; y" L0 [& W  set heading 0
8 e) v0 Y* i9 V* _  let best-direction 06 d3 j3 b& E5 z9 W7 @5 X
  let best-amount grain-ahead
# L3 \* U/ d: C8 I  set heading 90
& l) d3 u' I. l  if (grain-ahead > best-amount): Q# y% Z$ z: A2 p. c( ]* P, g
    [ set best-direction 90- E$ ?. p, b7 E
      set best-amount grain-ahead ]# P1 ]* m0 s/ x7 E3 q* J5 c8 V; D
  set heading 180
3 |: x+ S5 r# u8 k  if (grain-ahead > best-amount): A- b& H# v- g; u: t" V. I; D
    [ set best-direction 1804 h) b+ G1 M2 o( V
      set best-amount grain-ahead ]
, B' o& _! J) [" i& K: \% p3 |  set heading 270. i; f# `& u7 g  z% E+ J
  if (grain-ahead > best-amount)
- O8 }7 z) p; }; D    [ set best-direction 2706 |8 ]9 h6 C  z! P, Z
      set best-amount grain-ahead ]* p4 x% L' t7 F6 Z
  set heading best-direction8 ?$ b- C. v/ T+ D8 {5 }% u/ B
end
8 c$ m6 h1 q( m) l0 k3 H1 B6 f$ j' k+ r4 D) K% a  j
0 H" [5 M* e5 p3 j, S5 b
to-report grain-ahead  
2 z7 `3 F0 y7 d( e  let total 0
* U* }" D) g+ C- k  let how-far 12 d0 l; ^  V, x" `: l1 s& s9 N
  repeat vision, b- v1 F+ G0 C( n( t8 l, y
    [ set total total + [grain-here] of patch-ahead how-far
) C  U. `% K3 C( B, }) t1 f) |6 ?      set how-far how-far + 1 ]# [  {. j2 W, ]8 i6 N/ {' t7 S9 C
  report total
' K' C/ p% q+ `; xend5 \" N( G5 z; L' K. J3 a
5 c* T2 _: ~1 \& v9 W: }3 u" Q
to grow-grain ; J9 w/ Y0 N  b
  if (grain-here < max-grain-here); A* d# m8 I% ^/ v" z7 D! h& ~* ]; m
    [ set grain-here grain-here + num-grain-grown; T  G  f7 l9 k! j" T" k
      if (grain-here > max-grain-here)
- ]  k9 E% Y9 [        [ set grain-here max-grain-here ]
0 d/ k* f* z7 L: |+ f3 f& l. U      recolor-patch ]
7 ~* U/ f1 ^# y( cend
* b' M- E1 u& eto harvest0 B8 A) _/ Q. {+ \* @" c0 L
  ask turtles" g3 ?* C1 {8 v
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]- d/ f8 |4 N% M$ e1 W% N. a  q
  ask turtles
3 G' X( h7 b$ l  m3 x1 Y' v4 S7 j: @    [ set grain-here 03 ]) ?( z& o) b( R* @2 Y( T
      recolor-patch ]
! m! s1 \. z. [; ?% P  
% F4 ~- e+ y) {- Yend
/ ~2 A( ~3 z; {9 Y6 y% X/ c6 h0 U  Q" \
to move-eat-age-die  1 {; E% H6 M0 a+ T
  fd 1
, N) U: I0 `* A  set wealth (wealth - metabolism)( c0 B0 w# t/ }2 w* N% k
    set age (age + 1)) Z; R/ l+ l3 o& p
  if (age >= life-expectancy)' o1 N6 p6 W" Q/ ~; l7 B' h- B) P! a" {
    [ set-initial-turtle-vars-age ]
( w' L- w+ K& e  if (wealth < 0)5 P8 \. Y7 E" |# A2 S
    [ set-initial-turtle-vars-wealth ]# p. Z+ U1 V" N( a1 I6 e( C/ m. x
   
  p) S- }8 M  z& d* Q1 b' R# ^  \end
$ R+ Q! U8 X: `3 M5 u% B- ?1 B4 r8 t' ^' |) R

; N8 e# E2 }  P2 qto setup-plots+ }# n: w2 p' u
  set-current-plot "Class Plot"
5 R4 N6 S, T: u% n+ _( I$ \7 l! p  set-plot-y-range 0 num-people
. y9 S) R* g4 I( E2 ^  set-current-plot "Class Histogram"
( M: B: p, U9 H# x1 G4 E4 m/ \  set-plot-y-range 0 num-people( u( K6 x" y& z
end
* |0 o* W+ e6 Z/ o& N5 `$ F3 G# [! k6 M8 a/ n0 q) C
to update-plots
( p  s2 j: R( c  update-class-plot" ?$ Y+ d8 t) J! F; [: f' r9 F
  update-class-histogram- [2 L& [" O8 \
  update-lorenz-and-gini-plots/ ^: c" a9 r. |7 Q0 W7 \
end
- G  W( k# B0 g/ J  h& L" c" H( D6 u$ c& Y4 y4 \! z
to update-class-plot' Z+ W$ d4 k! b0 {. K
  set-current-plot "Class Plot"; |3 s0 s+ Z/ L$ O% J! `6 X$ A
  set-current-plot-pen "low"
) ~: R. O9 r: x  plot count turtles with [color = red]% z+ y  ?: y5 K% r; d8 d$ b4 m
  set-current-plot-pen "mid"6 B' J4 z  q' q& r/ X" O3 R/ M" s3 f
  plot count turtles with [color = yellow]. f% t" _# K& l/ G$ h
  set-current-plot-pen "up"' Y! o  j: u8 ^5 L
  plot count turtles with [color = green]
% I8 f: W" b) x7 P8 Jend
6 }. G6 e5 T4 n, G8 g6 B
# p# Q6 ?3 P- F% b; Q8 C) K: uto update-class-histogram# [; i( ?0 q+ l: P7 Q; a0 ^
  set-current-plot "Class Histogram"
( x* r1 f, O8 l; u  h) p0 S  l% }  plot-pen-reset0 d& F& X6 W3 Q# w6 ]  L0 F
  set-plot-pen-color red3 _2 k& `4 z" O+ h5 ~  q* `4 X0 d2 ^
  plot count turtles with [color = red]* @: L" I4 f6 \- c5 n9 g
  set-plot-pen-color yellow
% E- I" [2 y3 k) P  plot count turtles with [color = yellow]- W& L5 j+ x" q; x, B9 k
  set-plot-pen-color green, d+ i1 g. C+ l8 V4 k" H
  plot count turtles with [color = green]3 ~: b, n9 J5 i( v( X/ ^( Q8 ^
end
( ~2 {3 o: i  H9 e' eto update-lorenz-and-gini-plots7 F: C0 q" Y# V8 J* [) `
  set-current-plot "Lorenz Curve"% w$ t% V! H, j
  clear-plot+ X2 r) N1 w: n, L- l
9 c5 D' I! F/ p  l- j
  set-current-plot-pen "equal"
( w# S! ~$ n! d9 C' r2 ]0 n  plot 01 v/ }" g. }$ c) m! r
  plot 100
1 D  U2 k* N" {$ M
& C9 k0 @" F. T0 H- I, U  set-current-plot-pen "lorenz"& H9 w% T' e- g7 L+ X
  set-plot-pen-interval 100 / num-people
+ f' c: `; l( C6 |  plot 0  ?/ ^3 g) f9 {( B

% e3 g, u- p+ H. Q* Z  w  let sorted-wealths sort [wealth] of turtles, W: @. H* E# a
  let total-wealth sum sorted-wealths" v. P. b, B" Z- ]4 j
  let wealth-sum-so-far 0& h$ i0 y  J/ E
  let index 00 ~# {' a' T5 ^" \
  let gini-index-reserve 0! ~& ~+ X2 G% D, y5 Z6 j; W

3 z2 U+ U, R# E; N* R6 k! q4 C2 a  repeat num-people [# X+ m0 _+ w/ c8 e7 r& |* a
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)0 V) N% x( c7 i. m+ j8 [) ]$ M3 i
    plot (wealth-sum-so-far / total-wealth) * 100% G  h! `* K2 g
    set index (index + 1)9 W2 S' P/ p* X# B9 X0 O. o3 g
    set gini-index-reserve' _. {5 u- x9 M: G: d3 D+ e6 c4 A
      gini-index-reserve +
7 h. k* A, d5 `3 X      (index / num-people) -, h2 n% b4 I# u
      (wealth-sum-so-far / total-wealth). w; T5 a5 l8 {5 B2 \7 u3 U. d
  ]1 C5 J. L- p% Y" Q) q
% G4 b$ t, ~0 a6 W
  set-current-plot "Gini-Index v. Time". ~% [& J4 Z3 H- n3 x0 H2 K$ f
  plot (gini-index-reserve / num-people) / area-of-equality-triangle% N3 e' X, K0 P# W4 Z0 {
end' I' D, n: C! x1 o
to-report area-of-equality-triangle, O! X# w% U+ F+ ]1 H5 N' t6 ^& B, r
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)9 Y6 C* j' |" W1 A7 r$ R+ w
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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