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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
3 q' h: w, S! o: _  E0 T4 Xglobals7 J7 X0 g! ]" I; \4 y; N) I
[
+ l8 `3 L' R+ ~, R  max-grain      U. T7 x: J, X
3 ]  t# E% ~# G# m4 d7 y: o
]
/ Q* z/ k6 P$ i! A: _9 s8 O1 V9 P! t& M. p- Z+ e% [% P0 f+ X
patches-own
" _; Z  v# l& _, h[3 O$ \0 I& E$ m( v' \4 x
  grain-here      
$ s0 f1 V/ \, ~% t; E  max-grain-here  
2 N/ H) P* K" l7 `]
0 k7 r! }6 ]7 O3 h& a5 u) y* ?# k3 t$ w
turtles-own; j8 t7 p9 q! R) J, w0 y/ ^: H
[! j3 K3 ^6 }: n- k$ g7 H
  age              . a; A& |) P& r  [% K" h; N2 C
  wealth         
; C$ y  l+ F, V0 h9 U& [4 Q) \  life-expectancy  5 m# E% O& ^. f7 ?$ t. w
  metabolism      
: S# z; r6 J# }6 J- x$ H: N  vision1 O, Q& |6 S8 p# f7 `
  inherited         
* u" U1 m3 ~' V; z/ l* X+ q]
  W: W- p( c! l3 M& f
% B; ~  e9 z  \! y; |" z
2 D4 P% j6 }6 g# b- Tto setup
- R; h, `+ c) G) `' u  ca0 v8 q  J' T6 R7 r+ |3 E8 z" i! v/ {
  set max-grain 50( j( a( q! i& F, ~# q& L' w
  setup-patches4 \  E4 _! f# `' b$ `& c6 q1 |
  setup-turtles
+ p. f6 x. Z0 T& ?* P  setup-plots$ }6 W9 S( u2 G! j; g; R7 V) c3 ^: w
  update-plots. d+ d$ h% v/ v" S7 A7 I3 h
end
6 s+ e, y& X0 Qto setup-patches5 L1 u6 K3 a" G% F
  ask patches7 y  j: t; i0 ~  K1 K5 S
    [ set max-grain-here 03 T3 b. H: p, E8 m. r5 m) s
      if (random-float 100.0) <= percent-best-land
/ e4 h0 I. t0 c0 B0 M        [ set max-grain-here max-grain2 ?% n+ G" a$ U1 X
          set grain-here max-grain-here ] ]7 ^+ s) q6 h7 g+ [
  repeat 5
4 y2 O& l, ^. {% w' R6 c! b- k    [ ask patches with [max-grain-here != 0]- ^" c' I. Z( g: }% T/ C' J8 S
        [ set grain-here max-grain-here ]! w5 ?4 S' J, k+ [4 v
      diffuse grain-here 0.5 ]" L6 M0 g) i( k2 u( w
  repeat 10
& j5 ?; G( B4 a6 M3 w: F    [ diffuse grain-here 0.5]         
" z4 H! N6 r. D. N2 R! p5 J, n  ask patches
" C/ k  ]2 ^( `* I    [ set grain-here floor grain-here   
& q. @1 Y4 p9 g8 _/ c+ ]% O* y0 L      set max-grain-here grain-here      ' E3 j2 t9 ]7 O% P+ p5 m
      recolor-patch ]
* o* G/ L2 F2 |6 qend
4 J" c+ I1 p9 t8 oto recolor-patch  
$ Y' Y6 G  h; [/ z" X6 f  set pcolor scale-color sky grain-here 0 max-grain1 F+ W6 u7 S% C! L# s2 h3 Y+ E
end7 A6 X! l9 s7 i. F4 q, F, I
to setup-turtles. N, n6 F, B9 }1 k+ R$ R: f# C; [5 r
  set-default-shape turtles "person"
- E/ O, q, M; w  crt num-people) G1 D, g+ O) D' B
    [ move-to one-of patches  
. e" {% W4 [% x1 E      set size 1.5  
. s- `5 r; G, R  `3 b      set-initial-turtle-vars-age& v. C% g; l2 w& O  K
      set-initial-turtle-vars-wealth- a  s5 p/ ]9 n3 b- l
      set age random life-expectancy ]
7 c: U3 Y* @9 V) G+ _  recolor-turtles  m. J, n  i% Q$ z% L
end6 l- {4 S0 B# o" |) {+ m% R5 |9 b
$ o1 U8 G4 D1 e$ q) B5 S
to set-initial-turtle-vars-age% |# @- [: y4 Z) p9 E2 Z
let max-wealth max [wealth] of turtles7 F. x& o# y" x8 p5 c! s7 r
    ' t' Y4 T- E3 u9 _1 S9 I
     ifelse (wealth <= max-wealth / 3)
5 j2 V/ U7 o; W, Y/ c, s0 w+ O% M        [ set color red
& w2 t; m9 [" @1 A' G% [          set age 0- l9 |- H. g. ~; H* i
          face one-of neighbors4   C7 g* \; `6 s4 H
          set life-expectancy life-expectancy-min +9 |, J1 g% {' t0 _# E' e* r
                        random life-expectancy-max " w3 m% L2 ]- R" L& d' u
          set metabolism random 1 + metabolism-low  R1 l" u  \% z$ q- `3 d; c
          set wealth metabolism + random 30
' r4 g9 @& e3 Q# o          set vision 1 + random max-vision0 j0 J) M7 D) i/ @/ u+ x3 t
             set wealth  wealth +  Wealth-inherited-low ]
+ {& U3 G3 _6 T( t5 |; w# a        [ ifelse (wealth <= (max-wealth * 2 / 3))
$ m) K% k; m$ C; n9 y: h2 X            [ set color yellow 7 P9 I) g7 r% a' [
              set age 0
3 K, L. D8 C( [2 P              face one-of neighbors4 , x' ~0 l% d6 R$ O0 n: j2 n  E
              set life-expectancy life-expectancy-min +5 V: U1 D* Q# @$ [3 r1 Z( W! V* C0 V
                        random life-expectancy-max + 1
6 J6 {: X4 Q% ^2 e              set metabolism  1 + random metabolism-mid2 ~2 c" K1 q( l
              set wealth metabolism + random 30
) J. |4 ]* L4 b& b" j! s' H              set vision 3 + random max-vision
2 y# [; J7 M$ k6 m                set wealth  wealth + Wealth-inherited-mid]$ v. B& e* j. w& z
            [ set color green
$ O4 z$ \/ O! D0 x: C% D- ~              set age 0
# Z$ y' d3 Z: q+ O              face one-of neighbors4 & [* ^( T# N* ]7 |
              set life-expectancy life-expectancy-min +  _2 x4 w$ b- U
                        random life-expectancy-max  + 2
8 L7 L- i% c2 I9 W2 y              set metabolism 2 + random metabolism-up+ ]% {( H. f& n. ^8 W; B4 g
              set wealth metabolism + random 30& }/ b, ^4 H- E" `) ]& p4 k
              set vision 3 + random max-vision
6 K8 J# ]1 A' S" }% w  _2 L& ]              set wealth  wealth + Wealth-inherited-up ] ] : _3 h2 |2 s, \6 w. T
2 \3 }  V0 C8 e  }4 D9 R
end
9 ]6 ~7 F" Z. W: e5 ato set-initial-turtle-vars-wealth3 |, A: m- j7 s
let max-wealth max [wealth] of turtles
) W- w" A9 b8 p8 I' K          set age 0
( \+ L- P) V( O& u) v. j# l          face one-of neighbors4
2 k; C1 Z9 x, q0 v1 }          set life-expectancy life-expectancy-min +
! ]0 F/ P8 j+ A% T                        random life-expectancy-max
$ `) [# _' h  I          set metabolism 1 + random metabolism-up
( _5 D2 F% [* v9 C( @; c0 s          set wealth metabolism + random 30
: w3 e9 \0 h0 Y3 c0 x          set vision 1 + random max-vision ' y$ y3 H. ~8 T+ s- q. l' Q
end0 i0 X& g9 U' G" Y' e0 t/ p2 Q
to redistribution
- y( \' g$ D8 ?! X( }$ ~! m* P; _let max-wealth max [wealth] of turtles
+ z' _! t$ V2 ^; @; f5 `let min-wealth min [wealth] of turtles" i8 E$ a. P, E) }, g, R
if (wealth <= max-wealth / 3), }/ n: R/ l" _8 v
[set wealth  wealth + Low-income-protection ]
* {) [( i; Z5 X+ c9 |* b" Kend
+ R; t: |  E* P          : N; }, Y* S0 z8 O* m9 S6 t
to recolor-turtles
8 x7 x7 E! t4 w# L  let max-wealth max [wealth] of turtles+ U$ a$ Y0 c+ k
  ask turtles
" G* ^/ S6 w* `   [ ifelse (wealth <= max-wealth / 3)
9 c1 `, S/ n" I) q% A) Q        [ set color red ]
8 q0 u. D! ^. Z& U% B: t        [ ifelse (wealth <= (max-wealth * 2 / 3))
2 ]- {) P( z! @2 P) M, F, j& K4 r            [ set color yellow ]
7 d# [8 Q8 j6 T            [ set color green ] ] ]
4 Z1 E1 t9 I6 ?$ f0 C' `5 j. K ask turtles [ifelse show-wealth?7 s& U5 w  S  E1 v( m7 c- }* G. w
    [ set label wealth ]
; J- H3 d8 W5 [! n3 B' H' @/ E    [ set label "" ]]
3 ~! E. X/ ]3 j. J$ fend& E6 b& |; J) x( {, \) u" f

3 E. G' ]7 f( V# \! g# `; R; Pto go
' H+ y$ r% z% Z3 {: b  ask turtles
0 I: z. q0 u4 m/ f% G8 N    [ turn-towards-grain ]  
% b0 Y0 B0 t& x, V4 l+ j' G  harvest' ^' |0 U  z* {+ g: X  s: O8 y
  ask turtles" r1 M: B2 i  A1 Q# F! c$ b7 u, O
    [ move-eat-age-die ]& q& K4 c3 i% c0 p/ K8 o* Q# C1 M
  recolor-turtles
" |& e  _- N  q4 D5 d  if ticks mod grain-growth-interval = 01 g9 y' U; C0 u
    [ ask patches [ grow-grain ] ]
4 e8 H0 m2 B: m  v# w1 S+ |8 T   # o3 R7 g' `  n* H& {9 {: A& o% K8 S
  if ticks mod 11 = 0
- N. Q: m# b6 G8 Y/ t) j  [ask turtles
& y; r0 Y. p. y9 o) n  [ redistribution ]]$ }0 Z  a- d4 w. E. E
  if ticks mod 5 = 0& T/ X$ N1 X/ v2 C/ G7 `1 l
   [ask turtles
5 p, M0 Z, s/ P  [ visions ]]
7 G0 L. ?& _/ R. b# A6 T2 D  tick
6 h6 S4 X2 B' e: n, U  update-plots. }) A. h5 Y" Q) ]. _+ T
end1 a. P2 c5 v, V. \: u9 H
to visions2 L; V/ L7 p/ k" I. a- T& z
set vision vision + 1 % _+ D2 E$ l6 F" [. \
end
# `* b0 w% Q) d5 y# B: t- k' Q0 p1 [4 w) {8 D/ U8 L

8 c# `! N4 k8 B4 P# H3 P" O
# k% Y0 D' J/ A1 Ato turn-towards-grain  / G- L* {3 N+ A) z! W: b
  set heading 00 n6 d% O: V4 x0 P
  let best-direction 05 s7 K( M+ Z5 `0 y# H7 g2 R
  let best-amount grain-ahead0 l9 S+ ^% X6 Z+ s8 a: I
  set heading 90
/ B! d* b: x+ I: a" i  if (grain-ahead > best-amount)
& q0 v- ^; I' D/ ^1 O0 G    [ set best-direction 90
  V- n  K. E: F+ G      set best-amount grain-ahead ]! y& d% p9 f) {
  set heading 180
! ^/ N  Y. C5 B( k9 Q  if (grain-ahead > best-amount)
: @* n9 O; u! u/ r1 o, b    [ set best-direction 180+ n1 w( ^, F! ]4 P
      set best-amount grain-ahead ]3 g2 a2 Y) Y  \  k( |, u
  set heading 270: d/ y* @8 r% p# ~7 {+ D
  if (grain-ahead > best-amount)
7 t! C$ Q1 S# o6 |7 e    [ set best-direction 270
4 P8 ^; r( @- l2 j# _6 J      set best-amount grain-ahead ]3 E2 j5 [9 ~) {: E  H0 b
  set heading best-direction+ Y" p: `5 }% r1 s
end
0 m/ A/ ~- J0 {9 _6 w9 N
4 H7 t' e1 _* N) K- R1 L# n
. C8 p. H& z% y. g3 ato-report grain-ahead  & [$ Y$ G, b  Q( i* F* f( u
  let total 0
$ `* r: Q6 C/ K+ w( r. v  let how-far 1
1 Z" j: a: d) z- E  repeat vision0 q- {# q& s! B. v) x" q% Z
    [ set total total + [grain-here] of patch-ahead how-far" [& s' Q$ E2 d
      set how-far how-far + 1 ]; p1 q, G  Q0 U! j1 N
  report total' I' S6 f3 m5 s
end
' h' y9 c6 E* k% @+ I: K
/ e5 }5 ]" ~. A/ i5 F- ato grow-grain
& k( r: N. ~, ^) {) @+ H! X  if (grain-here < max-grain-here)7 I, Y. i: D8 c, r" g0 p; F
    [ set grain-here grain-here + num-grain-grown
$ N2 C4 W* w% p0 ^- @      if (grain-here > max-grain-here) 5 k, O+ M# \" x- c' G3 U2 a- c
        [ set grain-here max-grain-here ]
7 k# U# D0 N' e* v; O      recolor-patch ]
) R5 b1 f8 Z" z  Z3 q, Mend! S/ B( l  r. r( f2 g; ?
to harvest
$ E" i$ H: {! P. g! x  ask turtles
  S0 r3 N5 s$ b6 M. M; c" E    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]0 v; M& A) o6 h4 y8 M
  ask turtles
0 g3 {( }- |6 v. Z8 H    [ set grain-here 0
; ]  I5 s  f2 B6 X7 z. I      recolor-patch ]2 ?3 x" m  S  a
  1 b8 v8 u0 @) |& C/ b! l
end
' b$ n- r/ j! ^( ~: F) B. e1 V( ^. p' l" p
to move-eat-age-die  $ y6 E% I9 P+ o" Y# g5 l
  fd 1! V- ~% U( @! [+ x8 X- r3 \
  set wealth (wealth - metabolism)
+ m" A! B6 f" O, ]    set age (age + 1)
7 d/ r% Q. m- Z. y7 E( R! I* K) ^  if (age >= life-expectancy)
* {# ~: H5 y# J$ j+ ^. ^! P% E, c" v    [ set-initial-turtle-vars-age ]% ~  w# Z2 G6 Q7 J
  if (wealth < 0)
: H5 X5 j+ D* E. A    [ set-initial-turtle-vars-wealth ]
5 F! ^; @& i# n6 A. F5 q3 o' D) ?   
1 w! c. E0 l! ?5 yend
5 Q/ V! ]& g' m( e) s
4 t. Z* U( r  f; J) e, {& D. ?6 _: s- E6 x1 i  n
to setup-plots: t1 [( u: g" ~; @
  set-current-plot "Class Plot"' Q- c& z* X& j& M5 T
  set-plot-y-range 0 num-people
$ |1 c) H3 s& Q9 g& a/ V  set-current-plot "Class Histogram"
  k$ Q% K* J/ T' m8 o2 _2 `  set-plot-y-range 0 num-people
4 f* Z4 t5 f. Q# x8 P& ]* i( |& lend; t) y, I+ Q( d7 ?8 c
0 j: Q1 Q( C" P
to update-plots
0 ^/ H8 E8 P! Y' U9 G  update-class-plot/ a3 K8 {+ I' d1 P( e1 r
  update-class-histogram
& B5 O. f; H# d  update-lorenz-and-gini-plots
' _! T; B. y) K* gend5 l! }1 P+ o$ `1 p( e

7 C- L4 U( Q# f* uto update-class-plot
* @$ B4 {( O; d9 _) g# X# q  {' R: f8 H  set-current-plot "Class Plot"
$ k# s) O1 U' `- j4 R% L+ e  set-current-plot-pen "low"7 _( C, W4 R3 q: y4 ~
  plot count turtles with [color = red]
- ?2 \% C9 v- g6 i  set-current-plot-pen "mid": n) c) n' h* E( @1 `. f* N( x$ y2 F' |" r
  plot count turtles with [color = yellow]
* ?% C, p% _6 g  set-current-plot-pen "up"6 @, l9 t% u5 N# C- S1 i& j
  plot count turtles with [color = green]- ^: y( Y8 R4 C9 U6 q
end# O# [4 O( v/ r' W2 t' B& y
! n4 Z; H3 W5 G
to update-class-histogram. n7 E) h. X+ A$ I' A
  set-current-plot "Class Histogram". P0 ~/ ?. t- t
  plot-pen-reset
) V. d2 l, Q: A1 D6 m3 R  set-plot-pen-color red
' A. _+ |3 G1 Y) d/ D  plot count turtles with [color = red]
8 |. `- v0 n6 _% |. }  set-plot-pen-color yellow
/ _  P# G! L! z: _- S  plot count turtles with [color = yellow]$ h7 c! d( d; l4 m4 H. Z9 d) E
  set-plot-pen-color green
$ s: R$ F7 w$ I- |! E" c) d# R  plot count turtles with [color = green]+ \0 V% y* C% z+ `3 B8 A( R' X
end
# N( a, S  m+ ]- @' o! ~to update-lorenz-and-gini-plots
) g9 n1 T# x$ d5 V1 w2 `/ J  set-current-plot "Lorenz Curve"
2 P$ D- O4 a( m, e- N% {% T5 V  clear-plot! P7 m/ i! V/ d
$ u1 m- h$ B1 g. q; g. F
  set-current-plot-pen "equal"
5 i3 j2 H! a! D- `8 y5 m. H% ]1 ?7 _5 G  plot 0# J1 B) {- h$ U. c3 F1 O
  plot 100* G  h, [  u3 t
5 W( |/ p( _2 ]: d
  set-current-plot-pen "lorenz"
1 F2 }( s  y+ R  set-plot-pen-interval 100 / num-people
& W6 [5 D, h1 P+ G! P0 m  plot 0
8 A; l% n/ T0 i$ r: N
9 U4 |6 D2 k9 P. e) V, G  let sorted-wealths sort [wealth] of turtles
  @( Z1 L. |4 F! K  let total-wealth sum sorted-wealths
" ~- X% g0 P& F. H  let wealth-sum-so-far 0; R6 @* b/ u7 a5 S" r% X0 i
  let index 0
+ d. R6 I7 a+ u& G2 _6 s0 R  let gini-index-reserve 0' m1 Z5 j1 Z( Y0 x  }
' q& B3 `$ g# j  i) a
  repeat num-people [) }$ V' `. l# @1 A# O* e
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)( i7 C3 E; o* |+ l: T3 q
    plot (wealth-sum-so-far / total-wealth) * 100* k+ s; u0 K% `  c6 i
    set index (index + 1)& z; v( a8 a1 i2 U& i- C. P
    set gini-index-reserve2 T7 F7 d0 p9 N# \" E7 V
      gini-index-reserve +
( Z9 x+ M( n& v( V! }' @0 H      (index / num-people) -
# ?& r( C5 `1 q8 K& I( W      (wealth-sum-so-far / total-wealth)) v1 V, X. J* v- R5 S! z
  ]
- i4 ?2 ~) A& `/ D* g' ?' z% J6 [3 X$ {+ d0 O6 {7 `
  set-current-plot "Gini-Index v. Time"3 F9 Z# v$ m% I( o
  plot (gini-index-reserve / num-people) / area-of-equality-triangle0 p% L) w& X, s4 B7 x1 N, P' T
end
5 B: y1 j2 d' _  {5 Mto-report area-of-equality-triangle1 q6 M# H4 m; N5 B. j
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
5 x& Y! ?4 W' w+ z- T8 X: oend
 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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