设为首页收藏本站

最大的系统仿真与系统优化公益交流社区

 找回密码
 注册

QQ登录

只需一步,快速开始

查看: 8076|回复: 1

[悬赏] 求教:海龟的遗产传递问题

[复制链接]
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
; ~) v; Y) v/ V. P# wglobals2 b) x) Y$ `* ?* z% ?! o8 r
[
. q6 b+ V) N- }6 N# A, x" @  max-grain   
. W7 k9 o6 ~; T9 q# y; ]# R5 h* D# e$ `) n2 L1 n
]
/ h* [7 C; _- Y* y% K& U' c9 [+ j8 ?( t
patches-own. F+ t) V% b% }2 v) }
[7 p( A" T  i2 o: R
  grain-here      
" K) c0 I( g- `. I  max-grain-here  6 [8 x; ~* n+ j/ U/ K
]
. N# i! l2 U* ~1 I5 _& r; G6 d- Y+ l8 e* L/ G( x
turtles-own) Q7 H" ?( q4 s: m
[! P8 M3 r6 a' x7 b: L# ?" ^! L
  age              
! X) |2 y2 V7 O' u- H; J  wealth         
( e& C) W& }) [  life-expectancy  
0 Q2 `* ?8 J6 x* X4 U6 ]  metabolism      
5 u5 X# h, U) N2 a  vision
; \4 i$ J# j# e/ O+ I2 O  inherited         3 V2 ~8 @3 g% W) ^- N1 \# S* {* P
]# N' }& u* v/ O$ h% D  l3 e0 l/ {
1 J6 g. H8 F" j% ?2 h  _
$ B, E1 V( L6 i0 J. Z1 Y
to setup
9 I$ q& I# u3 ^- e+ `; L! B  ca: o3 m1 a$ f9 ?% l/ g
  set max-grain 50
- ^" @* B9 V4 q( c( ?7 H  setup-patches
! u" v1 m; Y$ N! C- R# t# E' Q/ V  setup-turtles, N' a* C- j  G/ t6 v
  setup-plots) ]4 ]6 X3 w- b1 x
  update-plots) O: c3 U) _. [& }8 U5 V
end
0 j3 m( r4 u& l3 {6 z" y: eto setup-patches
% X# R1 x. o) `3 Q& G5 B  ask patches2 z( C, `% q3 J% S2 `1 I
    [ set max-grain-here 0; l' s6 Y6 R9 q7 H
      if (random-float 100.0) <= percent-best-land
) D& [! r& K* O" r, P7 h* Q; Y        [ set max-grain-here max-grain- n: A( F$ k8 i' k9 a% e$ T; W
          set grain-here max-grain-here ] ]. h3 _( ~. ]8 T. B
  repeat 5  S! |( ?3 n9 r6 ?& A) d
    [ ask patches with [max-grain-here != 0]5 `- H& z! {" s0 v
        [ set grain-here max-grain-here ]
) p- g) v/ ~+ o& @% G      diffuse grain-here 0.5 ]9 S& c1 P) \2 l1 E- V' u
  repeat 10
& G# M& V" W! {# n9 z  q6 G7 M5 h2 l5 t    [ diffuse grain-here 0.5]          ( m! Y8 o0 g+ `: m8 m
  ask patches
/ R9 E. b% f0 q6 O* r    [ set grain-here floor grain-here   
/ y4 ^8 d; C) _8 o' I      set max-grain-here grain-here      
7 c* N# q4 N# a+ H- U      recolor-patch ]* \8 S  G" |, g7 o& {
end* ?( W* L. `) G) X9 s
to recolor-patch  # d5 o: Q& s  v4 J5 H0 ~
  set pcolor scale-color sky grain-here 0 max-grain
$ ?; M1 ^- U& x/ \, ]8 W( a; Xend# K: F& H; a% n& |
to setup-turtles
3 s2 t! l' {, [) h  set-default-shape turtles "person"8 w* M' B" p, N3 |; I$ l
  crt num-people' f4 n# N! k" o1 U7 E
    [ move-to one-of patches  % B/ h* a6 m, b$ _% c( j
      set size 1.5  
* |2 W+ [, w- {/ h& {9 Z      set-initial-turtle-vars-age5 o2 r0 m+ V) v1 ^3 S) ~
      set-initial-turtle-vars-wealth
8 U1 [3 m, H5 k$ w2 y      set age random life-expectancy ]
5 W6 C; d* W( ^; X/ `  recolor-turtles
" G6 ~4 ^- V0 |: R9 Y! G: L) Hend
* q4 Y% a$ N  s' I" G
7 y6 C( I& o5 u9 Z0 t$ wto set-initial-turtle-vars-age
! S: n' r' p& Y) `6 |* f. Y- U let max-wealth max [wealth] of turtles0 \' z* n8 \7 l6 i: O9 a
    % T! s$ j. o, u3 F
     ifelse (wealth <= max-wealth / 3)
+ b& G7 R- d% K; {  C        [ set color red ! o2 f+ k( s" s4 m/ U: R
          set age 0! y8 M) F* U2 U' ~
          face one-of neighbors4
8 W' z9 f+ v' Z+ v: ^" E, i1 s          set life-expectancy life-expectancy-min +6 @/ i1 r/ r8 l0 q2 J( ~
                        random life-expectancy-max 1 s& W( s/ R4 E# X
          set metabolism random 1 + metabolism-low
# a* q& f+ I/ {0 k          set wealth metabolism + random 30/ q5 t) A# Q9 }
          set vision 1 + random max-vision
! _! ^9 M' A8 D% ^( Y% A             set wealth  wealth +  Wealth-inherited-low ]
$ Y" D. f4 }( k7 Z+ }        [ ifelse (wealth <= (max-wealth * 2 / 3))+ w. |: f3 [7 q
            [ set color yellow 3 Q: E! B" j. a' |
              set age 0# K  q2 G9 u2 L  k. S+ \
              face one-of neighbors4 $ A3 w9 Z! `/ {0 E! s9 `. K: q
              set life-expectancy life-expectancy-min +
- `1 z* N) P5 w" `; X                        random life-expectancy-max + 17 C8 h( _& h! K- c) E. ~
              set metabolism  1 + random metabolism-mid
8 k0 [7 W4 a2 |8 S" i              set wealth metabolism + random 30
/ o- M9 j. y/ |' U              set vision 3 + random max-vision1 v8 C1 @. t+ l- x$ M/ s" g3 r
                set wealth  wealth + Wealth-inherited-mid], h/ d: h1 q7 ]
            [ set color green ) y5 D# F" i3 N, q/ g
              set age 0
. X& R  x* [8 \  b: E              face one-of neighbors4
7 i: Q* E( n7 o: n              set life-expectancy life-expectancy-min +
5 R' W4 ^- S" q  D                        random life-expectancy-max  + 2
/ W4 L4 @: \* x- c* ~+ ^              set metabolism 2 + random metabolism-up- c& j& U+ q% B. I3 u
              set wealth metabolism + random 30
9 I( T$ q# Y+ M  o: u7 C              set vision 3 + random max-vision
4 u/ ?& j0 T; x              set wealth  wealth + Wealth-inherited-up ] ]
3 a# N5 W: ~$ l/ _% F. Q
* C# F5 F. _3 Q$ ?- tend
/ S. ~2 `( A+ T7 R. Sto set-initial-turtle-vars-wealth
) J  _/ _& d1 F/ e! v8 h let max-wealth max [wealth] of turtles
8 Q) q2 l2 O. H' O' `/ M8 G          set age 0" m- W9 H1 b$ Y
          face one-of neighbors4
* A; q8 U" K9 H- m0 W          set life-expectancy life-expectancy-min +6 f2 O1 O7 M8 }% t; S
                        random life-expectancy-max
1 ]; ^, k" j# w3 N( g: ]          set metabolism 1 + random metabolism-up
, Z& O  f' P( ]: t5 |3 Q          set wealth metabolism + random 30
1 M% I, M$ e1 b" S/ ~2 H$ C          set vision 1 + random max-vision 1 j" w# ]4 E0 a0 ]/ p1 @' Q
end+ c* a9 [5 f5 o7 A& A3 J
to redistribution
. o1 o+ L1 \: vlet max-wealth max [wealth] of turtles
' |; `0 Z1 m9 D9 J, b; Wlet min-wealth min [wealth] of turtles8 K1 I! a# B' w2 _; S( N, C
if (wealth <= max-wealth / 3)
9 \# \4 _3 X/ E* l3 p [set wealth  wealth + Low-income-protection ]5 r( b1 l9 t$ v6 y7 J8 K
end
" |/ F% L- @+ J5 s- C9 F' K( b          4 T; C" ^" q' P5 T4 b9 D, J. w
to recolor-turtles2 a9 x6 U1 r  A/ I) R, A* O
  let max-wealth max [wealth] of turtles; J, \' A$ ?, F3 v# H8 X+ s0 V
  ask turtles
1 i; ~1 }' l: A# a: s1 F0 `   [ ifelse (wealth <= max-wealth / 3)
$ t7 A* q6 p. z1 T  Q        [ set color red ]0 @3 c& C6 T3 W: k, R
        [ ifelse (wealth <= (max-wealth * 2 / 3))
" E% x, \0 _( ^# s            [ set color yellow ]
3 A1 R  K0 F2 l            [ set color green ] ] ], E  U" ?0 V& s# k$ h7 Z5 ]
ask turtles [ifelse show-wealth?
# k% Q" a  ?" [, y' r' ?4 Q    [ set label wealth ]
: W- {* X9 v. t3 ]! [0 o    [ set label "" ]]9 t% `: }5 ^( a& A) a  M
end- b0 J9 X) @& b8 e- J6 N! V6 p

# C; j+ h: z* @6 X  `4 p9 mto go$ R% B" N) V9 `1 X9 a' O( ^5 B
  ask turtles
2 G6 q. A2 I3 \  T2 m. j+ j    [ turn-towards-grain ]  
$ B3 `6 c) k; Z! x1 s+ M3 B4 I  harvest9 d1 g6 A% w7 K/ _$ [2 ]' h4 J' z0 M
  ask turtles( J$ A  J# U; I2 C; V( m+ h. d
    [ move-eat-age-die ]) w( ?/ d( f4 W. m  a6 d
  recolor-turtles! j# \% x) S3 h
  if ticks mod grain-growth-interval = 0. F. o5 d8 J8 Q% U% t* g
    [ ask patches [ grow-grain ] ]2 B3 E  ^4 M+ f  o1 \+ B: p& Q9 z: v
   : Y2 L& R4 D( O' [
  if ticks mod 11 = 02 C3 N. x8 O9 _
  [ask turtles& K; b) V; f0 T0 |  [% |% O3 @
  [ redistribution ]]
; R0 a# b2 ^/ I* Z  n( O" f/ r1 j  if ticks mod 5 = 0
$ p( `. f$ u$ ~$ y8 [   [ask turtles
  g: Q7 {+ b) U" h/ I/ u( C4 @  [ visions ]]
  I+ r  F; w; i% B) E1 l7 v  tick7 }# v& l# `: `- q
  update-plots% ^; m1 h+ d& N+ }  d
end* E+ ~* U+ X* u7 X5 _
to visions. n1 u) y. M  y/ J; ]& j4 [" T) K
set vision vision + 1 ( q/ k! c8 t% i* S& T! m2 d) E
end
5 X7 j1 r7 L+ L9 y' q( f- K) j. P+ n* L3 `7 k. R# n
  E$ @7 }. r( n2 V/ K& J8 Y9 K) F
7 y# @7 T+ Q- V7 }6 d& K( P# y
to turn-towards-grain  # e. }1 K4 t$ C& b7 w8 O4 S/ r
  set heading 0
4 v0 o/ p' Y1 H  let best-direction 0& l; e8 q: X. z5 A  g- ^, f" t
  let best-amount grain-ahead
$ d- q$ c" }# z  set heading 90
7 A9 D: G; _( R- h1 k  if (grain-ahead > best-amount)
3 [4 ^) q, S+ C" }& W    [ set best-direction 907 s! s1 Q. F6 j2 z7 Z
      set best-amount grain-ahead ]
0 X& Y& s* I* T. @# a. z9 t/ a4 f9 ~  set heading 180
9 |0 z- j+ ]$ W  if (grain-ahead > best-amount)% ]3 e5 B8 s% l3 m+ P$ f
    [ set best-direction 180. R) @8 X$ d  `( C9 ^
      set best-amount grain-ahead ]
, Q/ m; j& |) b- x, s- c3 x$ ^  set heading 270% M/ m  n9 o$ o1 r- x
  if (grain-ahead > best-amount)
. T" V# z: C3 r    [ set best-direction 270
" D+ ]( N4 y. ]3 v- Z) w      set best-amount grain-ahead ]
6 s+ ?  v6 h  Z7 F- s; s9 t  set heading best-direction+ G$ T0 B( A7 n* k7 N- W
end
. H! B: J  v+ R, \
# x( i' D" y! L% X( B8 d/ C
. g4 O, k! M  |to-report grain-ahead  
4 f0 L- ?) O5 ^! `) `8 S$ r  let total 06 [8 d& B3 a/ H# c9 @% a
  let how-far 1+ p1 v' P' R7 N
  repeat vision
, [  C* g) ?  v  q" ?    [ set total total + [grain-here] of patch-ahead how-far
" V0 [' x" X$ D4 F8 R: P" G      set how-far how-far + 1 ]
! z9 H$ G1 k& L) `# t8 x  report total
( j( L4 Q! M$ s, }# m2 Eend/ ]2 e; N3 O6 z. e0 k5 H
- U  r4 a9 [4 ]4 e$ t- L) @8 J( i
to grow-grain
1 |3 }$ X% O, n- M2 O+ x$ W" a  if (grain-here < max-grain-here)
; {. i) z1 o8 g. r! q4 o    [ set grain-here grain-here + num-grain-grown
1 h! g/ U" T# R( R4 q3 s( u2 L      if (grain-here > max-grain-here)
' R" U5 Y; D% }$ t) v/ m" A        [ set grain-here max-grain-here ]
# z2 N. q. m) h- L, U      recolor-patch ]- C) f+ H; g7 l6 L* \3 o6 O% o
end
$ u: Q6 |- k+ y/ ~$ Kto harvest
& o$ c( B: c! a( w" Q$ v  ask turtles3 o+ G) u+ D1 |
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
- X) d; ], E0 A0 @6 X  m2 P  ask turtles
( Z: F5 E& D5 i5 @; o, F    [ set grain-here 0
, J6 {  ?' u" b1 K! H5 z% r3 b3 g      recolor-patch ]1 l, v. I5 n/ X& J; q
  3 E9 G$ c2 M" d1 Q
end
' N5 q( R( y8 ~: F  P+ D6 B0 u! g8 Z& s: C8 d: M
to move-eat-age-die  8 \' |6 ^: h0 O  R+ }
  fd 1
7 x; H8 N; ^6 Q  set wealth (wealth - metabolism)
0 }6 n: b3 R3 w. E' C    set age (age + 1)  p% J. A7 d! w; d4 C
  if (age >= life-expectancy)" G! [/ a) U( C, b: \1 L; J
    [ set-initial-turtle-vars-age ]: t, R( w2 Y( A/ L" ?/ Z
  if (wealth < 0). x1 h' s: C# u! l
    [ set-initial-turtle-vars-wealth ]
' c2 c! |1 E) ?   
) K: k" \. w9 |( dend6 E% W8 o: p5 v, ^
" P5 i: m& Y1 j
, u* J, `! }, R! x
to setup-plots* e/ H$ X9 L: \/ H2 R/ [8 ^- I
  set-current-plot "Class Plot"4 h' T  F+ s3 G  ^) \
  set-plot-y-range 0 num-people/ L$ v( G+ a! z7 |3 C3 o7 V# Z
  set-current-plot "Class Histogram"
/ x" u( f& G1 P1 ~* V5 s  n  set-plot-y-range 0 num-people
0 L3 E4 y& M$ G& R$ Aend2 w( D4 Q$ }* o3 \7 ?

9 w5 s  W3 z9 E% K9 q! C5 D  _# y" S, Vto update-plots/ Q" c# Y7 {9 ]0 [
  update-class-plot6 S: t8 Z8 C- ?9 A
  update-class-histogram; C) {* I- @: a
  update-lorenz-and-gini-plots
7 e3 m% G/ r+ N: y+ G6 E" z$ kend
  q5 b3 z7 F0 T, b: H# s* C0 j7 G3 K2 Q4 B- G( ?+ r. X
to update-class-plot
: t5 g7 z0 }1 F7 R* x' k$ W  set-current-plot "Class Plot"# F0 R" T9 u5 O8 l6 j" j* \$ j
  set-current-plot-pen "low"& [  R! x8 E- v3 w) h' h
  plot count turtles with [color = red]5 q7 d$ D2 f. k  v/ s6 C- v
  set-current-plot-pen "mid"
1 R" a* Y* u' k4 n9 I& S  plot count turtles with [color = yellow]
% ]- T! G) n  R8 t2 ?3 V  set-current-plot-pen "up", u. F3 z: p; d  S
  plot count turtles with [color = green]% i: H- z) @! C5 I' n
end
% G! \9 A  a( H+ ~! g$ w
7 _* ?/ X$ _) C3 I. _to update-class-histogram& D  \6 q7 x( V
  set-current-plot "Class Histogram"
+ f* A% R4 }9 N& l1 d  plot-pen-reset0 _- g5 f+ G) M1 |5 R( Z
  set-plot-pen-color red$ ]- }9 c9 [: y" J! b
  plot count turtles with [color = red]( w; J! Y8 K, k5 n; F
  set-plot-pen-color yellow
% S! r) Z! u( \% _  plot count turtles with [color = yellow]
8 M- ~. h, c" C3 r9 e0 G  set-plot-pen-color green
6 G# y, h; L3 e5 K! k5 k; m; ?  plot count turtles with [color = green]/ A7 I- w$ m2 o4 w7 `
end# B6 w. a0 T3 K2 T
to update-lorenz-and-gini-plots- o% I* T1 L4 B, P4 V' s
  set-current-plot "Lorenz Curve"8 k. D1 D, V+ s
  clear-plot
2 ]3 E  f7 S  g/ R3 T
. W$ E1 D# G# a  set-current-plot-pen "equal"1 T; M, L& \- ^; p4 z5 C) e
  plot 0
: g6 ?3 C9 [" P( m' K  plot 100
# }$ Y( d9 c4 v1 L7 U
" W7 ~7 i; T# ]1 }+ k  set-current-plot-pen "lorenz"6 \: z) |, x( T+ r
  set-plot-pen-interval 100 / num-people
( h% w' ]/ O0 m# I  plot 0
8 a" E9 e& E9 O( G! }
7 u$ r- c% v9 p$ d: f: A6 |5 m  let sorted-wealths sort [wealth] of turtles
% f$ _) t$ [. _2 r2 p  let total-wealth sum sorted-wealths  O' m% u3 b( d- f- @
  let wealth-sum-so-far 0/ F: R- y0 @: j6 }  r
  let index 0
8 e9 L! K2 b+ f) ?  let gini-index-reserve 0
) ^9 F4 s7 d/ r1 B+ v. Q) Q8 ~/ G' F9 Q8 I4 Y
  repeat num-people [$ q* T3 m8 n8 [6 P
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
! w% T; I9 }/ g    plot (wealth-sum-so-far / total-wealth) * 100* U0 ]7 y7 R1 c. q
    set index (index + 1); E# X# C  p/ t
    set gini-index-reserve, V& t- G  b7 T3 _) v
      gini-index-reserve +" ~7 d; e2 H7 p+ N
      (index / num-people) -  R5 N1 v. G9 B, L: c
      (wealth-sum-so-far / total-wealth)
3 X) c- W, A; L  ]) q3 X! ?# a+ K) x) q
: n8 Y" `0 N& I1 s" F) p: s
  set-current-plot "Gini-Index v. Time"
# g; x0 K0 Y# `3 ?+ G5 R% \5 I& _3 `- K  plot (gini-index-reserve / num-people) / area-of-equality-triangle
& j8 {4 a+ H5 v- t! Z# T! Q0 |end. A3 m% v4 p8 J$ T2 I
to-report area-of-equality-triangle
! Q; I) ]/ m1 W: }. o0 _- G  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
) h. w& h/ m* l) Wend
 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
您需要登录后才可以回帖 登录 | 注册

本版积分规则

QQ|Archiver|手机版|SimulWay 道于仿真   

GMT+8, 2026-4-28 12:14 , Processed in 0.013748 second(s), 15 queries .

Powered by Discuz! X3.4 Licensed

© 2001-2017 Comsenz Inc.

快速回复 返回顶部 返回列表