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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
* ?& M% i, x* G. u. h% \& c  v* cglobals9 k9 s+ ]0 M. A9 B4 L2 o' _
[
7 h: I* e7 z/ n# o6 b  max-grain    / B. z7 u0 F9 s8 O
, d: B# X& _$ h  ?
]$ ?; C" `! e3 e+ E( b$ G# C: ?

1 a2 Q( Y* g+ O) qpatches-own
& d/ i3 d# T6 ^+ h% q! E[2 r! k, a8 k0 T5 |( o
  grain-here      - `/ K2 R" T' u0 G( t
  max-grain-here  7 ]1 f9 E% S- T6 F! C' L
]
) W( O9 L0 h6 Y: f; K+ W" k- S5 c( i/ S- D# {# b
turtles-own3 S) u8 s5 W, k5 O& L
[( \9 I% K$ P" F8 F6 C; w
  age              
/ Y: I% Z0 z9 F3 g6 m, S  wealth         ( O. \/ Y+ A5 T6 A* f
  life-expectancy  , L; }' n0 D8 h+ h1 f. c
  metabolism       - C& q: N& w( y5 Y8 }7 T
  vision
: r' \) d. Q3 a: E# a5 s2 d  inherited         - I; h- m. x( V8 \1 e: v3 C. S* n, T
]6 `+ Q6 [$ B( ?2 z
9 d: s% c* b" D+ s+ L

8 j1 N) C' Z. I4 n! @' Fto setup( I, k8 G( h% S6 S+ I- D; o% r
  ca
6 f1 X, K3 a+ S- }8 N, f  set max-grain 50, R/ f7 |2 v0 T/ o4 A% t0 ^
  setup-patches
' N6 A" _4 r) Z; v7 {/ ?7 i1 V  setup-turtles& w1 o; v$ M% y" U! J1 j8 h
  setup-plots
+ Q/ X' U4 E! P$ W( N' h  update-plots, m2 J; j) l- I8 r2 f7 c: V6 x
end
4 d5 S( ^4 f1 E  M/ a1 ]to setup-patches
/ u6 V! c& c% p  ask patches+ ^$ d% s% H+ j
    [ set max-grain-here 0# y" p+ H& h1 X8 k9 U
      if (random-float 100.0) <= percent-best-land
5 |2 M8 Q: ^& g' N; t7 G3 w) d        [ set max-grain-here max-grain  _7 R* Y1 k6 _, j/ S
          set grain-here max-grain-here ] ]* M) P  N! p/ g6 [1 Z* Y2 y
  repeat 57 \* j3 w, {) A0 f5 |% n
    [ ask patches with [max-grain-here != 0]
2 x* e5 A1 g3 l* c, z# q        [ set grain-here max-grain-here ]
9 b( C1 k. r* v" ~. O% y      diffuse grain-here 0.5 ]6 ~3 F, _0 p$ ?: Y$ |
  repeat 10  {0 K& i" c5 @
    [ diffuse grain-here 0.5]          % Y8 \$ h- a" G8 {* N1 {
  ask patches
% Z7 w! ?" C2 Y1 m+ i) @, v4 k  N    [ set grain-here floor grain-here   
6 l! J% x- M; b0 q' x2 A; w      set max-grain-here grain-here      2 S3 @) [' v; q% r: r7 P; q
      recolor-patch ]6 Y  ^( }, o/ m3 y
end' }+ r% O5 C4 I( Q$ f8 r
to recolor-patch  7 c: G1 N6 g, v, Y0 L
  set pcolor scale-color sky grain-here 0 max-grain+ X, l& w9 \, u
end& k9 O+ {; {" _2 Q8 C6 E
to setup-turtles
( o3 l! c3 i& C; `  set-default-shape turtles "person"; D/ x5 w8 H- B
  crt num-people: B3 P" [" u4 }5 \9 M* p* g
    [ move-to one-of patches  
  [7 J! G& b+ J. O      set size 1.5  
+ S4 X4 H" J! X8 \! @      set-initial-turtle-vars-age
1 h8 R9 d5 P0 P% F      set-initial-turtle-vars-wealth2 X, [/ y' f0 [
      set age random life-expectancy ]) ?! n9 n$ T) u! M) z. `2 X
  recolor-turtles7 K0 @% ]+ M' v  ~: t
end
) a7 Z6 m/ N" k) k( E: R9 @( h; @% p) ?+ }% o4 c
to set-initial-turtle-vars-age) d2 d0 [% ^! ~6 t) k1 R$ ~. i
let max-wealth max [wealth] of turtles, s% G. u  f2 k) n- Y# l1 {
   
5 Z: J4 D! b/ G5 B$ L+ D     ifelse (wealth <= max-wealth / 3)
8 B$ `4 w3 {+ G) o% j* B& d2 o, q        [ set color red
+ U( y0 v. t( G4 [          set age 0
( I2 Q" l, B6 j- B1 t2 a          face one-of neighbors4
! {+ ?, x8 g3 P/ H5 t: l          set life-expectancy life-expectancy-min +
" @/ D2 s, t: _                        random life-expectancy-max / V7 z3 V  S( |0 A& Q
          set metabolism random 1 + metabolism-low8 u4 T7 Z; \* L
          set wealth metabolism + random 30
* I, y' H& M; h2 h* |8 t          set vision 1 + random max-vision& e$ q5 W2 e+ p$ T; o9 L* ~
             set wealth  wealth +  Wealth-inherited-low ]
! t- ^0 |! G0 V& \2 @1 T) z        [ ifelse (wealth <= (max-wealth * 2 / 3))
8 t2 V' B5 C/ E            [ set color yellow * d$ Y( D5 T. a( |) U2 x0 c) t" G
              set age 0
1 v8 ]! a  Y9 F0 l              face one-of neighbors4
. J) y8 h1 [, w# D# P  W. D              set life-expectancy life-expectancy-min +
* N  Z# a& r) H6 p                        random life-expectancy-max + 1
7 f- H/ H6 Q6 |              set metabolism  1 + random metabolism-mid& Q" W1 S/ z  q5 l% \9 S
              set wealth metabolism + random 30
8 a6 ?4 {& n# A# ~- |4 X( \              set vision 3 + random max-vision
1 H$ s' e5 r( ?& _2 N, }( S0 D                set wealth  wealth + Wealth-inherited-mid]
& X$ v$ }6 Y/ @8 D            [ set color green
- I2 u6 Q% W& P              set age 0
1 k1 [# G- }6 j$ R6 f! l/ t8 w              face one-of neighbors4
; F# a8 H& [0 l# X              set life-expectancy life-expectancy-min +! f5 F( o: Z( ~& D) f# e/ t
                        random life-expectancy-max  + 2
3 {# {4 N3 }/ W. B5 V8 K              set metabolism 2 + random metabolism-up
8 p3 }) T# E6 m; X+ k' O              set wealth metabolism + random 30
1 M0 I* b- R, v4 h8 Q5 N              set vision 3 + random max-vision
8 X- O8 e* @! a, J# O1 B5 u& H              set wealth  wealth + Wealth-inherited-up ] ] % {6 I. D& y% r
2 }3 ?. Y9 z4 b/ L9 S
end- u0 F- k& c* i" c, [# y2 W
to set-initial-turtle-vars-wealth
7 w8 q/ @+ t' D1 i; K$ ^ let max-wealth max [wealth] of turtles1 |& N3 B3 ^7 p  A
          set age 0
1 q; }( q, |' l6 d5 O1 {& n& K0 x          face one-of neighbors4
2 X( _  l5 I( H6 G, r6 c; R          set life-expectancy life-expectancy-min +# x, E; `* `. e  N+ p
                        random life-expectancy-max
( _. U) t# E) P$ G( m          set metabolism 1 + random metabolism-up" s% I' ]$ Q  N
          set wealth metabolism + random 30
$ ]" @0 [; Q. |  \2 J* r          set vision 1 + random max-vision 0 u& D- v% n% U# P5 G4 `
end
5 ~6 C6 u) d$ ?0 fto redistribution
, @* n6 u1 T8 u$ Elet max-wealth max [wealth] of turtles
2 `% @; j) m! U8 ylet min-wealth min [wealth] of turtles0 [" V1 P! @) Y9 z0 M& e4 `
if (wealth <= max-wealth / 3)
) o0 r: u: H+ j6 R. B6 M [set wealth  wealth + Low-income-protection ]/ A  L; f( U0 t3 u, S! O+ ~
end" b( X' l% K# v# y8 @, E4 K# }
         
8 E2 t' r, y8 @7 X! fto recolor-turtles
" Y: s' C( s9 Z: |% [3 M  let max-wealth max [wealth] of turtles  G( v8 V! D2 h+ z
  ask turtles3 S, T' M4 f; v( a7 a
   [ ifelse (wealth <= max-wealth / 3)
6 ]8 W- E8 g* C8 ?6 `( Z        [ set color red ]
% l  O& ?  O# l1 ^/ s% V: k7 c% ?        [ ifelse (wealth <= (max-wealth * 2 / 3))
( G% Z% _' S$ Z& i6 y+ T/ `' Y            [ set color yellow ]
" V5 `# h. R: `* X! X9 n/ [            [ set color green ] ] ]$ C9 p8 s" w$ L3 c) y4 m
ask turtles [ifelse show-wealth?
2 Y/ [  J6 f3 `2 f: t1 |5 b' A    [ set label wealth ]. }: m2 `7 }+ V
    [ set label "" ]]! _& m$ T, H; \3 _2 F" Z
end4 \4 B5 |. ~; G1 P3 t& f- s
  U' |) H8 O: C! o3 D0 B3 a' Q, o
to go. x1 S' Y2 }* k' I% G
  ask turtles
6 I/ f( f3 ]8 {) D' C, j9 Z- s    [ turn-towards-grain ]  % r0 j/ b) H$ y
  harvest* k+ n3 j) i8 F" E
  ask turtles
8 o9 \7 w6 r, @8 r    [ move-eat-age-die ]
! K/ D! x) v* Z+ ~! v; j1 \  recolor-turtles
! @& E9 [" ]" h  if ticks mod grain-growth-interval = 0+ `$ g. G7 x( y
    [ ask patches [ grow-grain ] ]
4 n& S/ A, u, y. x9 z7 e* l, S   
; {" s3 j$ v/ O: J, \) R) ~1 m  if ticks mod 11 = 0# ^6 Z9 M3 k& S+ B! I# S7 E
  [ask turtles: F2 a4 u  A+ j# B. |& j
  [ redistribution ]]# C$ t8 C4 {9 j6 ^- V4 C3 O  c) J
  if ticks mod 5 = 03 r4 y$ m9 l, Q) c6 [1 _! ^
   [ask turtles6 l2 ^( a1 M8 f( G+ K6 P
  [ visions ]]) E! [% t$ X7 h& a; k7 Q8 D
  tick8 Y8 S5 e) \) @% I4 P6 M2 }) p
  update-plots
% S- k. j% `+ i- l9 P1 hend
6 D# J0 j/ _! S" p" vto visions
- S* f. _9 i' k7 O3 i* M set vision vision + 1
& _) N3 v* w! @# p* R( ~3 \end6 N7 R5 a9 c) i2 q5 D  e
# \4 ~( S- N# F: D+ P
3 W  \9 [1 ~& Z

( a5 {' X" T1 F, uto turn-towards-grain  
( o0 p. P5 a: c  set heading 0
7 Y* W) V; m1 Y! v$ Q( M  let best-direction 05 ?( a' b/ A8 o- ^% l
  let best-amount grain-ahead
! t# U$ ?( C7 ?. s) H! ?, ^1 |7 h  set heading 90' v, D/ ?4 \' t) C& Q" ^5 Y& ~/ f: L
  if (grain-ahead > best-amount)) g9 U, W) ^8 ?" b! e4 c% x
    [ set best-direction 90* }0 H# m# f# a8 N, S2 s
      set best-amount grain-ahead ]0 l$ z( \0 \" O* `0 t
  set heading 180
1 g/ d& V* ~" j. o  if (grain-ahead > best-amount)6 G! n) K1 U, Y" t# ~" k) v
    [ set best-direction 180
& O6 n1 w, m$ b3 m2 p      set best-amount grain-ahead ]6 u- R& Z. Z$ P
  set heading 270
6 l; \( D; r* t9 n  if (grain-ahead > best-amount), k* C1 a. d# ~1 z
    [ set best-direction 2700 r# ^  a5 I( B% ?# E5 m. j
      set best-amount grain-ahead ]
0 D9 ]1 `+ B+ P6 f$ _- P  set heading best-direction+ f" R( e# w8 G2 _
end8 f, R9 l- S4 X7 ^8 T2 m

+ |$ h6 V* X& y8 q# d8 d' l+ v/ O  p: K4 ?+ B: w% Z
to-report grain-ahead  - n$ V2 K( n; {& z" \' c
  let total 07 n; d. X" n* ~. h' }3 }( ~- N) `% u
  let how-far 1
; u! i8 P' ^5 O! z( d( P6 O  repeat vision
$ |) q* T0 P& i+ g, z  Q    [ set total total + [grain-here] of patch-ahead how-far
# D) N" K3 b) a8 i1 }* W8 X      set how-far how-far + 1 ]
9 T5 L0 X3 S- Q! F  report total$ X1 x# X. ?$ H$ U& N
end
0 R) b* `  C- s! d8 ]. R% {0 J7 g  G. L+ `
to grow-grain
) \0 w5 }' g& ^' m0 y5 K  if (grain-here < max-grain-here); p2 R2 r. E' N0 K& z
    [ set grain-here grain-here + num-grain-grown
3 a+ j8 E. X8 }+ a3 N3 Q7 V      if (grain-here > max-grain-here)
* W& w7 d7 Z1 _& v+ G* B2 [, v        [ set grain-here max-grain-here ]$ c9 R* Q$ i8 d% r" Z
      recolor-patch ]
: u1 ~8 i/ m6 U) m, n9 e4 j) W! _end  k4 b6 K: V2 `0 Y8 y3 b2 U
to harvest8 N- t6 t0 t: ]$ L+ s: E
  ask turtles
, a" @* M: @: s, U    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
# K) T/ c4 d, u& g( K6 Y  ask turtles
' h/ |) S( o* H/ f, k    [ set grain-here 0" s! b: |/ N+ U, P- e  V2 S7 e
      recolor-patch ]
% r& V# M/ ?% b) E. J  
  b: |4 }# ]2 y$ V7 Zend3 G6 L1 O9 j" b4 f6 S

4 \/ \7 X1 R# L& P+ _  o) [4 Nto move-eat-age-die  9 R; i( v4 |% g' B
  fd 1
9 W5 U% P- E/ [% q! B- v' I- r4 O  set wealth (wealth - metabolism)
) \% S1 ^2 t- J. U8 P3 l& P9 }    set age (age + 1)
, S! U6 M6 L, v5 {  l  if (age >= life-expectancy)' n# Y. n$ Q+ X1 R9 j) m) c) G
    [ set-initial-turtle-vars-age ]
- l% G8 R  D( x2 E5 k9 V! v  if (wealth < 0)4 ?  P. S/ Q) O  X, z+ h% K
    [ set-initial-turtle-vars-wealth ]
. d6 Y$ O/ H/ L' y- K5 x0 e   
3 N6 U& e# W0 w- N6 G7 {end+ H1 w" _0 ^* _
6 o2 l; }- H4 z6 F
3 J: I0 d7 r: k8 S
to setup-plots9 L- p- g9 P1 I
  set-current-plot "Class Plot"2 F* b! Z  ], N8 s% V  O
  set-plot-y-range 0 num-people
$ q8 Q1 N, l* R8 \# i& b  set-current-plot "Class Histogram"4 a5 f9 u, ?6 ]- g0 i$ F+ r
  set-plot-y-range 0 num-people, L5 O7 D6 t) q
end+ x7 k, }2 z  A% Q0 \, h# Z
4 \1 v* j# X* P# V" t
to update-plots# E. Y' _: T, ?0 A) v! s1 U
  update-class-plot
; I( ^: G) o; w  o  update-class-histogram
1 y, O& Q$ M6 X8 ]  update-lorenz-and-gini-plots
! p$ [/ h! U% q9 M+ `end- [4 i6 n) A9 n8 w

/ e. h) t/ G- y+ E1 _# ~to update-class-plot+ A, N: M+ }2 F6 o/ E  T
  set-current-plot "Class Plot"
: S( ?( I# D# p  l( F. q  set-current-plot-pen "low"7 A. R  `( t+ Z2 d7 s
  plot count turtles with [color = red], ]/ Z3 t1 h0 {
  set-current-plot-pen "mid"
6 o7 W" n! O1 x& j; [  plot count turtles with [color = yellow]
, o& l% L  `  p  set-current-plot-pen "up"8 s( [0 h4 z7 H" t+ V" d3 [
  plot count turtles with [color = green]
- S: @( }" p! a+ P! i7 y) W9 xend$ r: E3 S7 f+ ]0 i8 P% G1 U

: o3 [- r/ H8 l' dto update-class-histogram
: [& Y& _! l' d* b) j: ]  set-current-plot "Class Histogram"
+ V0 E5 J% r6 r5 O1 N* O. i  plot-pen-reset; J7 y: p, _0 Q0 k
  set-plot-pen-color red) n, E$ I- Y( V8 k) i7 o5 E
  plot count turtles with [color = red]4 `) K6 o6 n1 n! R& Z" e' X
  set-plot-pen-color yellow
2 T2 x) {0 j$ A/ V2 B# L; L  plot count turtles with [color = yellow]3 L# `9 [2 B: c/ L  L$ n
  set-plot-pen-color green) U  F  w3 `$ o3 o
  plot count turtles with [color = green]+ ~' N! d. x4 B0 T2 F1 K7 g
end
6 e1 V: Y( k, J7 a% \to update-lorenz-and-gini-plots0 a: ~; d: ?+ O4 u; L# J
  set-current-plot "Lorenz Curve"
1 Z! l$ Y3 G6 \7 W9 d7 }  clear-plot
& b% ^" y/ K$ N% W  v* O- S
' z: `& Y  s6 C, ?( p$ W  set-current-plot-pen "equal"6 z- Z7 H1 Y" ^" c% j2 ?
  plot 0$ r: I! f, t( _" Y8 F$ {3 a7 M
  plot 100! P) e' m% }. B" O
6 \2 J. ]( }! ^$ U
  set-current-plot-pen "lorenz"
9 g# T" n  W/ s  set-plot-pen-interval 100 / num-people( B9 R" P8 T, Y6 u& i
  plot 0
5 s: v, j4 S- z& q/ F4 I! N3 t
; I( ^4 y" N% |  let sorted-wealths sort [wealth] of turtles
# |; H. x/ b# }! y( ^  let total-wealth sum sorted-wealths- l, k5 Y/ V1 y% M% x+ U0 C
  let wealth-sum-so-far 02 Y3 y: h  a4 ?4 f: F
  let index 0+ O5 g; q! M6 `
  let gini-index-reserve 03 Q% m- T/ a9 \& p) j

  m( [" j, [. K  repeat num-people [
( |2 Q. D  G) y5 d5 A    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
- `% }% ?9 m, r$ N: T  U; F) f) ^5 k    plot (wealth-sum-so-far / total-wealth) * 100" q3 X! E  J9 O: A; j7 q$ P7 V
    set index (index + 1)
( A8 {) ~( n) C4 `- w    set gini-index-reserve7 S% R# c0 C! D
      gini-index-reserve +
2 {. S6 h( x$ b' u4 \  m      (index / num-people) -4 \1 G) \+ q. T8 [2 c
      (wealth-sum-so-far / total-wealth)* ]" O) Y, N  p* b9 l: N0 w
  ]( m0 n' Q! U; D
) u  t- [6 J3 d9 c3 y
  set-current-plot "Gini-Index v. Time"! {& Q' [" o+ O3 ?
  plot (gini-index-reserve / num-people) / area-of-equality-triangle5 [9 r" Z2 o5 e( ]! D. F8 p4 Q
end7 s6 o( J  _) d
to-report area-of-equality-triangle2 u. F$ V. l8 P8 a$ W: a. w/ @+ ~5 ^
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)$ _) z4 ~. k& j0 I9 I; v+ K
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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