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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
7 u/ S% m7 A. W2 p: d6 Yglobals- ~, F8 G! z# d- h9 G
[
  K* F7 P) |8 p! [, z  max-grain    & ^) m# F8 H0 ^  b) b! s6 Y

1 E" O1 T2 {+ I; X# h]
' t& N  C% Y0 t8 ~* Q3 J* B
4 k0 Z2 P, k6 W% o  d# ?7 ~patches-own
: f- {1 p( }6 i[
& n& q' O7 n4 n! p1 ~5 A  grain-here      : T& I- S* f+ l4 r4 o7 L
  max-grain-here  
- Q. y5 F: ~" X; k7 u( J! E/ {]. o7 I' E! g  Z0 {/ |
  `1 Z0 M0 D( ^/ @2 w
turtles-own+ \& C) ]$ a% T+ G7 m: Q
[0 v) S# ^) c9 Q8 h
  age              
* V$ C" c3 y" Y  wealth         
. r6 _% G0 [6 n; z* V9 h7 i% I  life-expectancy  ; O) p# e! w- z' \& n' q5 f7 ]$ W5 F
  metabolism       " P& c( d( N9 f% I3 n) l
  vision6 ^2 ~8 m) f' j* O1 f
  inherited         
7 I4 Y$ e: Z. @1 Y1 f2 N& R! Z]) s; b  f) Q( g  k) @

4 [( X9 w$ J, R# M% J/ J
- R% K, h/ R# P, `) a- Ato setup& }9 }- Q! n, |! [2 U1 O$ K$ ~
  ca" i$ s7 G9 a* J( T9 \% A
  set max-grain 50. S9 W0 V* x9 R: o) I& W# Q* y: l5 W
  setup-patches
  b) M  v4 @0 s# B5 T8 V# ]5 D/ [  setup-turtles5 g" a7 j4 ]! a7 Q* r2 k) M3 \1 {
  setup-plots6 V: f* `: p5 W9 l" ~
  update-plots
0 z- {& o2 O9 A3 l2 H0 fend# ^1 X& K- w3 l/ D9 G! U8 g5 P5 s
to setup-patches' L9 i0 O7 ?2 |! z
  ask patches
7 G  o$ z- b- m    [ set max-grain-here 0) k/ i+ C1 O# x  T& Q$ {
      if (random-float 100.0) <= percent-best-land
! o  z# W& @$ ~6 i. j        [ set max-grain-here max-grain' b% W; W  d" c; z6 `
          set grain-here max-grain-here ] ]/ X6 n( R8 E& f* k2 ~6 h9 I6 F
  repeat 5
; R& _$ t# S) W. P+ c    [ ask patches with [max-grain-here != 0]/ G" R$ c, A% M6 p4 i: L
        [ set grain-here max-grain-here ]
  `9 w7 x) ~3 E! D% v2 {      diffuse grain-here 0.5 ]/ Q4 i, F% @( S( Z$ u
  repeat 104 D: h+ D4 w: \9 I( q
    [ diffuse grain-here 0.5]         
: y1 s* P9 Z3 O  ask patches
+ N* e; w; r! o. |% ?    [ set grain-here floor grain-here   
; J5 Q+ S/ n4 h6 k) a      set max-grain-here grain-here      
$ q; f/ k* R; g- ~6 C! h      recolor-patch ]1 Q; L$ N8 x6 d" b& O  a" D
end  z5 ?; l+ Z) F0 q$ E
to recolor-patch  * R7 z4 ?3 U) _9 k" _
  set pcolor scale-color sky grain-here 0 max-grain7 T/ |! d7 |  Z8 H) j7 W
end" K' _. V/ R- \$ G" |: u$ @8 \
to setup-turtles
2 D% P$ z$ W; b2 P" D  set-default-shape turtles "person"
8 {1 k9 e0 N4 r- E1 _* {' b  crt num-people
8 _6 I5 s6 C! S% U" \6 ~  W" \    [ move-to one-of patches  
: Q: m1 w) V% r+ E! v      set size 1.5  ; ~8 w+ k2 \# s4 L/ m( p+ ~* ^( N
      set-initial-turtle-vars-age% [" x+ v3 V) g0 V
      set-initial-turtle-vars-wealth: u- z& \" z0 ]6 B! U9 Y; x
      set age random life-expectancy ]4 M. F. s- q2 o2 k7 c' H2 x
  recolor-turtles6 F1 L1 y1 [- Z
end4 e% h% X$ J5 d+ l) q' S
! x7 {8 p) |& Q7 T6 B
to set-initial-turtle-vars-age
$ r/ w' L2 P% ~7 W let max-wealth max [wealth] of turtles
1 B8 n5 a; B, ~" G" c/ W   
5 ?3 T6 |  g9 |8 z/ }* I! v     ifelse (wealth <= max-wealth / 3)% `6 L' C* G6 c
        [ set color red & C1 M3 Y. S8 o6 H8 m
          set age 0
' R  G% z7 l8 J9 E% k" ]3 p: E          face one-of neighbors4
( b  I! w7 b* B" B% G          set life-expectancy life-expectancy-min +) P" E2 F% r& d# U
                        random life-expectancy-max
  s! q! [* }7 [          set metabolism random 1 + metabolism-low9 J( l2 U8 _+ V! r3 H' {3 n$ {4 k
          set wealth metabolism + random 30
- f$ E' X  m1 {; [% m          set vision 1 + random max-vision
  ^4 u" }$ {6 n6 H$ a             set wealth  wealth +  Wealth-inherited-low ]
$ u3 O- q- q: @$ v        [ ifelse (wealth <= (max-wealth * 2 / 3))
( M" h/ O( y9 z* a/ h( b            [ set color yellow # z6 T4 [5 o3 @* m3 R3 n
              set age 0
. E9 b2 D" Q* Q6 r( l% N3 ~              face one-of neighbors4 ' \  c# L& m& r5 m4 r* q& o: D
              set life-expectancy life-expectancy-min +3 O1 X7 {/ K% I' B- s
                        random life-expectancy-max + 1
0 J1 b$ P9 _& O( I              set metabolism  1 + random metabolism-mid
7 V9 D2 U/ H8 `* U              set wealth metabolism + random 30
8 c# y! Q; ?/ _0 b' s8 U$ {              set vision 3 + random max-vision4 S- K  }( L1 \' r3 }3 p
                set wealth  wealth + Wealth-inherited-mid]
. f) {1 Y. Q% X5 G: }, e. I" L( L2 Q            [ set color green
, g5 {: j4 |1 a5 J9 O              set age 0. X4 e' p/ n7 ~. m
              face one-of neighbors4 + x! g3 T& w. D" @
              set life-expectancy life-expectancy-min +: b. {9 B+ \: _( p" j# @: q
                        random life-expectancy-max  + 22 @2 I% c* g/ t3 i! z( Z
              set metabolism 2 + random metabolism-up
. \$ G. d' z  b# |$ \& Z& ], t7 r              set wealth metabolism + random 30
% X# ?) l* w+ h, U3 }* G8 n              set vision 3 + random max-vision
6 A* W" Y9 W# K+ H6 I: {3 d              set wealth  wealth + Wealth-inherited-up ] ]
: V) K9 ]5 L1 o& f7 o: P8 L
4 z- q$ F- s! o+ z' @7 \9 a4 |end
7 k) c/ Q! Q+ M5 u9 qto set-initial-turtle-vars-wealth
* ^# N" m( q6 x8 k" f: ~. m# u let max-wealth max [wealth] of turtles- \) ~) {/ N4 B4 p; D
          set age 0" `7 m" @9 D+ h/ m9 J5 N6 }4 L
          face one-of neighbors4 % l, c; ?' l1 x
          set life-expectancy life-expectancy-min +
* R4 F' S+ r( X                        random life-expectancy-max
" q( R+ N2 O8 B" _% E          set metabolism 1 + random metabolism-up0 m* z1 w* w" r
          set wealth metabolism + random 30
9 D1 d, z3 ]2 {: i* p. m* l          set vision 1 + random max-vision 5 U2 K. H/ ~. j6 x
end1 }. |5 H3 x+ {" X: w
to redistribution; A0 o4 q' c9 ]: S0 Y) h" R
let max-wealth max [wealth] of turtles
, I* D+ T6 q% }3 G  B4 C; dlet min-wealth min [wealth] of turtles
; J9 [! W' \- W2 d9 gif (wealth <= max-wealth / 3)* ^) N6 y, L5 j, P
[set wealth  wealth + Low-income-protection ]
$ Q  n& r+ N3 d0 w! N7 F( Yend
9 D$ }/ ^* s* m& k7 ]. `: Z         
/ ^, c+ d: s5 Q" g6 F0 E% rto recolor-turtles# l1 P# k' n5 \
  let max-wealth max [wealth] of turtles: [6 j8 C, P9 S  n
  ask turtles/ ~! c  F/ c7 W
   [ ifelse (wealth <= max-wealth / 3)8 K/ t0 t1 P: |% A+ m+ x
        [ set color red ]' I- z0 t  ], k4 M
        [ ifelse (wealth <= (max-wealth * 2 / 3))2 Y, c: Y7 P3 M; F& j1 z
            [ set color yellow ]1 P: A4 Q3 P  |
            [ set color green ] ] ]+ u+ |. ^1 i/ e' f  p
ask turtles [ifelse show-wealth?0 V, B, I0 t9 K" b2 K
    [ set label wealth ]
5 Q$ O+ B; q: c0 t& f# I3 D, ~0 }    [ set label "" ]]2 w* C2 a1 m7 |2 [# }8 L' g
end
5 J* J1 q; v3 U* m  M0 h
( i2 [3 _  D) l, j- sto go) {6 k* F) g" P) }
  ask turtles( h! o$ H9 \* `( d4 _+ W. Z. O
    [ turn-towards-grain ]  
: j6 p  k4 J. A2 e  harvest' ?7 p4 ^+ K: R; _9 O
  ask turtles0 m1 u6 l" @. y) b2 f' Y" g- g
    [ move-eat-age-die ]
/ L! |' H3 U6 G8 _" Z  recolor-turtles8 |, R$ I6 T0 t# [/ q2 \
  if ticks mod grain-growth-interval = 0: E' G# |# K' {+ ^1 F6 I' H
    [ ask patches [ grow-grain ] ]
4 @* |% v" O# F" u   
- C# w: x; V& a, U  if ticks mod 11 = 0
, b% X  U8 E; m" k) y  [ask turtles
: |% U% H& B6 A) Z  c4 ]  [ redistribution ]]% z# T3 z+ |6 B1 B, L# o- Q
  if ticks mod 5 = 00 m, t, v% L% P
   [ask turtles
0 f) \3 E' `$ ^9 o" }  [ visions ]]
2 {6 a) V; O& |0 K4 x/ `7 z  tick4 [! T8 W' X& N  \! P
  update-plots  g) a* Q0 G7 S" B
end1 _3 t, C% r% @" x
to visions
9 C' `' N! c; V8 \ set vision vision + 1 ! R" ]  A8 h: M/ ^; {" Y
end' e+ p  f/ [. A% D

! t3 h9 w' A' D8 D: _
$ z1 @0 B; R. R. b
" T  b; z6 C$ n# r, y& _to turn-towards-grain  ) {# v* w6 v* b0 Z0 P* I7 v4 j2 I
  set heading 02 `8 z  ~. l& M& h6 ]  A
  let best-direction 0
* I1 h; x2 f( @6 k, A% @4 v  let best-amount grain-ahead) L& G3 p% h1 c; _9 I
  set heading 90
. z, x5 {! g: Y3 O' m- Y7 z5 u  if (grain-ahead > best-amount)
( s9 `6 W1 b! Z    [ set best-direction 90
7 A3 V* K' Z& F7 o. O      set best-amount grain-ahead ]# _- G6 W; O' u1 A) P, k( W
  set heading 180) b- y9 N6 h) E6 J  W
  if (grain-ahead > best-amount). d# E/ v2 u( o) s$ f0 Z2 }8 L
    [ set best-direction 180
1 k0 x0 d" _, y1 I/ }( c5 u      set best-amount grain-ahead ]( N/ e* T1 f# S6 B5 F6 N
  set heading 270
$ d3 v8 R9 ]6 m+ o4 i  if (grain-ahead > best-amount)  B3 O$ e/ _- q- O0 ~
    [ set best-direction 270: N4 k9 d9 h! P! I9 _* r) ?/ x
      set best-amount grain-ahead ]# ^( F% e: l* q. c- _  N% y: d  S+ D
  set heading best-direction2 s1 R( Z) J/ y* s
end
+ f( ?( L$ D8 U
4 Q* n6 w  k3 q- v  i) Q7 M$ U4 i" X9 f/ w6 N& e" p7 I( u1 ?/ H
to-report grain-ahead  . }$ k) J) d' L
  let total 0: T; N! X: z9 \( s# E/ \+ f
  let how-far 1
- F" ?3 R' N# m" D. y  repeat vision
3 N# [  \, s3 U  k! U* f    [ set total total + [grain-here] of patch-ahead how-far
9 i; C5 g0 f, j1 X5 o: R      set how-far how-far + 1 ]
. o  l+ w5 Y1 o" M3 c  report total: t' G2 V# O. V% e, o
end6 s; ~, n$ M8 g" [7 ?% T4 I# l* T4 E
, H  ^$ V# H7 H, _* C
to grow-grain 0 J) x1 ]' b$ q" m7 Y
  if (grain-here < max-grain-here)
7 \2 Q! h& ~, Y. @/ F    [ set grain-here grain-here + num-grain-grown* M3 a, R$ j! I! j+ Z
      if (grain-here > max-grain-here) - Y2 t( k7 i: l0 z7 w( g% e& g
        [ set grain-here max-grain-here ]
8 w% V# \* N& X, J) X: }/ B      recolor-patch ]8 f0 |/ j! w' `: N
end
- V! y4 b, V) F/ ito harvest
0 A1 \5 ^8 e  q% M) `. a- t4 r8 d5 v  ask turtles
9 E0 }% p5 ?) y; X    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
5 z$ n. g/ N4 R  k# [. M1 ^; ~) I  ask turtles1 `: W( N6 i& a& j. m% j
    [ set grain-here 0
' V$ [, s) d0 U& \# h( ~+ \      recolor-patch ]# J6 ~; K) ^3 N8 }) a
  
7 K$ p# y) y3 Y! m1 \/ @1 eend; H( W% f6 F$ R2 a$ h3 z

+ I7 o5 x" b. R: }& s/ U; p, dto move-eat-age-die  
8 t0 f* x/ }2 ^( {  fd 1$ ^$ R3 K; I% t2 ?5 S; R/ Y$ @) M
  set wealth (wealth - metabolism)
  ?& ]: R% i: }    set age (age + 1)
* w! D8 U/ P. G$ w. v8 L1 P  if (age >= life-expectancy)1 ^- W. t) \/ @" Y* N. i
    [ set-initial-turtle-vars-age ]
$ I+ w# [1 o* y1 B. s0 P3 |  if (wealth < 0)* Z" K0 h: S- f5 [6 K5 X6 o, p
    [ set-initial-turtle-vars-wealth ]
7 y% X3 {6 U: {" j    & w4 ?) d- ^6 s3 q
end# p, H& N4 w8 i& j& @, W/ p
- K% G- f4 m' K+ N
5 a! E2 R! A% B
to setup-plots
' T4 Y) l' H* ^$ s  W( m  set-current-plot "Class Plot"- ]1 |5 Z4 J( F: q" b/ n# f! v' i
  set-plot-y-range 0 num-people
4 s7 }( o9 O( P( }) o2 v  set-current-plot "Class Histogram"
) c/ _! }! Z$ I6 e' t, S5 e  set-plot-y-range 0 num-people& p1 {* A7 N+ ~; F, }
end4 q3 {& K. Y! l

4 H: P, `( g3 n# jto update-plots
; o/ Z; X  C( w% z  R  update-class-plot- f* Q) ^( a: D! Z3 H8 j# Q8 x* i
  update-class-histogram
, F8 {7 k/ n% k, b: _  update-lorenz-and-gini-plots
8 B4 N8 [8 y3 w: F( E$ p: ?8 l  F  |end
; a. K. f( @9 o+ n0 O
8 ^2 E) Y. x( z. ato update-class-plot
( W# a! N+ o. {3 L( j6 F8 N  set-current-plot "Class Plot"' [% V$ K2 l# v# u1 q% h7 c
  set-current-plot-pen "low"
+ U7 }# L# g6 q. h5 y  plot count turtles with [color = red]0 u8 v/ C4 z; p2 s7 P  F
  set-current-plot-pen "mid"
  j1 X$ t: C% i  plot count turtles with [color = yellow]
; P) A  w0 e8 T  set-current-plot-pen "up"
0 E: j' M, l' ^5 r: w6 @  plot count turtles with [color = green]
9 [3 k4 n7 U- u0 Z" i; fend. p7 F! Y# g9 b  J6 p5 l
& {# J/ P% o& \5 a9 t
to update-class-histogram
& n) C. Z0 Q, a1 h7 v8 i; r  set-current-plot "Class Histogram"
( c1 _* Y; ]3 V% h+ U! T  plot-pen-reset) c! L* i3 W* y/ j# c$ Y5 U, a* ^
  set-plot-pen-color red
/ p9 w/ i* [% J6 Q9 E/ a. O  plot count turtles with [color = red]
4 ^$ W5 a8 ?) r+ b( ^0 X  set-plot-pen-color yellow! e9 K" t0 p# p/ r4 W! g
  plot count turtles with [color = yellow]
! q' B5 x) h' G3 R  set-plot-pen-color green
3 N/ D9 Q& J" F" C; _# z) k0 W9 x  plot count turtles with [color = green]/ j5 H, x/ w! U* ?" o% Q+ Y
end3 p% {3 W, G1 G: [+ h1 r7 R
to update-lorenz-and-gini-plots7 m' j* u* n9 t' g2 x, [* Y
  set-current-plot "Lorenz Curve"
/ A3 _1 Y0 {$ c0 k+ ?1 J9 R: q  clear-plot
4 Y0 r: X& R/ G
& g+ ~+ V+ Q) q; J4 H2 b3 {1 u! a+ c  set-current-plot-pen "equal"
* ^. t: i( `# v) Z% C1 y  plot 0! m: |& s" {$ h' ]
  plot 100
$ k# L2 y3 a) f2 j4 e
/ K6 z' o  k" j. y- \7 }* O  j  set-current-plot-pen "lorenz"$ q, {- c% ?/ Z: {
  set-plot-pen-interval 100 / num-people
+ x7 j" a! K( K; U3 a& J$ c  plot 03 Z8 R, e+ z0 B! J1 Q2 q( d

+ r" u, c6 l" o5 a* \: q9 q6 E/ K  let sorted-wealths sort [wealth] of turtles
: `+ V, w) j: i& w; a- o% h. H% i' |  let total-wealth sum sorted-wealths
! w% J5 }  O$ F/ H6 V  let wealth-sum-so-far 0: C) @( F9 i; m. d! L. R" X4 `
  let index 0
; `: i7 e) K5 j- B; A6 u2 h( e  let gini-index-reserve 0
" c# e" [7 n" E4 ~! J( s! Z# ?( {2 {) Z3 o
  repeat num-people [
* E9 [+ J! E0 U  I5 C: |" V7 S    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)5 l: B' ]* I3 O
    plot (wealth-sum-so-far / total-wealth) * 100# c* v2 C0 y0 O" X9 j
    set index (index + 1)3 h# x2 U0 q# B' Z
    set gini-index-reserve
" m* A& S8 r; b/ O9 d5 W7 m      gini-index-reserve +$ M# N6 F* t! c4 H1 _2 M: Z
      (index / num-people) -
4 g8 V; o  y2 v( n5 C8 K      (wealth-sum-so-far / total-wealth)
0 Q) I. b5 V' I) L  ]
) j4 |9 n- ]* |9 Z8 M5 R/ y( p: R  O& D
  set-current-plot "Gini-Index v. Time"$ `) R6 r, |5 o8 b  U$ T' ~% W$ S
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
8 f2 g  y6 }( g( @& Wend
* S" c$ d0 G8 ~: d, a) gto-report area-of-equality-triangle9 Y  D9 r  Q; K& \
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
+ B' i+ M& w0 Cend
 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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