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: 7425|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8 E; {6 g" T( v4 m6 T6 P3 U- g
globals
  V: q8 g- g; J0 }) l1 v/ }! h% V[# a" @& k; O( @# A0 C0 [" n2 A
  max-grain      l1 p1 S! h( ], {
/ x/ L6 p0 ]  a6 v3 Q
]: O9 w) D; L' N0 J1 o

6 a* [  j( e( bpatches-own
% B& G7 d  t, a5 b$ l- K" J[- x% ]( K$ N  F# \# p: T, c
  grain-here      ) q+ X5 @; u" t
  max-grain-here  
: y" A6 @# x; Q) a# E7 K; G4 G$ `]
0 e. R/ x9 _$ @$ i3 S1 d* ~% {- L9 `7 `& Q& I' Z  F/ e. V* q, a, e
turtles-own  D7 u7 Q/ R( K$ |& g) f# p
[
/ T$ \5 i; W! X- e  age              
& `* [' _. D; X- J9 A  wealth         
- y) [$ ~9 S) u. W0 f  life-expectancy  
8 i% E8 {# M$ a8 m3 D# V7 r; J  metabolism       + b& c# s, q/ P' c9 z% D7 B
  vision# a( h$ X5 `+ U; ~7 H
  inherited         
; d9 U$ _, o6 V- z5 g]
( h* Y9 ?# x5 _! \1 Z% c& @0 T
" x- x6 \# U5 u; ?- i* [' x% P' m0 }) N5 Y2 Q" o) o" u9 D( f" q
to setup* G  M2 l; H! f$ b. f  s
  ca
+ r3 ]3 X; t& {6 s& b7 _0 z; O. f  set max-grain 505 m5 D% k9 u% W) }) Y1 M, b9 P5 v
  setup-patches) q4 |5 Z) [3 j7 j
  setup-turtles4 l) o5 b: o% }1 f4 g1 U9 k
  setup-plots
  m6 r! x% \  v/ D, t( o: E  update-plots
/ l/ o" g; M: a% Eend5 d, E  F/ w% c* A' n6 H
to setup-patches
. b  W5 I& |( L  E. e8 z# U0 e  ask patches6 w, q  K3 l, F: [/ P, u4 ?: f* f' G
    [ set max-grain-here 0
) S& j" L& Z5 K; D      if (random-float 100.0) <= percent-best-land* y1 q0 Q9 _- b0 J! s# Q
        [ set max-grain-here max-grain: v/ m2 a& S2 e( H6 h# q0 x1 L
          set grain-here max-grain-here ] ]
) ~" ]6 L, V( _. j: K  repeat 5
( s! G$ A: ?( }    [ ask patches with [max-grain-here != 0]
# j0 j3 k- {' e2 \3 K        [ set grain-here max-grain-here ]. {+ b4 x: ?5 F2 T& m1 j
      diffuse grain-here 0.5 ]7 k: P1 Y3 K  I1 z$ v
  repeat 10& |$ j4 A: }' W% c2 d
    [ diffuse grain-here 0.5]          # f6 A( L  s* i. j  g
  ask patches
) Q/ }4 Y* X3 i  F# m( v5 C    [ set grain-here floor grain-here   
1 N2 F7 C4 V6 B      set max-grain-here grain-here      
2 Q- t# N7 p' s( y: K8 j2 @      recolor-patch ]* g/ J! r: o$ d# v8 Q
end
4 K& C1 b8 c& f0 `$ {: \to recolor-patch  
+ {9 f" }2 r$ N  set pcolor scale-color sky grain-here 0 max-grain
5 ^8 `+ y0 I8 p- n! Oend
" X, s% T, |. u- oto setup-turtles7 J. O. n, c" @5 E2 k7 r- }& g
  set-default-shape turtles "person"
1 N  h# x9 [: ^: o/ l6 z& w  crt num-people
; T2 S* |4 n3 J9 F    [ move-to one-of patches  
1 y  N: J1 d# L  m( q4 @      set size 1.5  % x; i2 O/ B# a
      set-initial-turtle-vars-age* G9 ~: t5 s$ w
      set-initial-turtle-vars-wealth
+ Y0 Y: w; S+ K) t$ i% P2 M0 |      set age random life-expectancy ]
. _2 J8 R" B5 C2 D) l  recolor-turtles# A4 A5 T! @$ h6 r
end. E& U; Z3 a" [
+ T$ r( p9 P. b; ~0 ?
to set-initial-turtle-vars-age
7 u8 O( m' J: k  Y8 q2 }/ ?8 q let max-wealth max [wealth] of turtles
: R/ f+ r5 X7 y    8 b* ]- c1 U( h) H& r
     ifelse (wealth <= max-wealth / 3)6 s' B2 J+ t# G6 x) Y0 \
        [ set color red 5 n( t% V% J8 q( X6 `- x' t( P% P
          set age 0
( ^) H( z/ P3 N# ]. h          face one-of neighbors4
7 L% b' Z' L% v          set life-expectancy life-expectancy-min +
" W: t1 Z0 ?8 i6 D8 [. t! }/ N                        random life-expectancy-max 4 @4 s! B6 b9 C9 l
          set metabolism random 1 + metabolism-low: u( T( {. C3 |) R% |  N; l  h% J: o! G
          set wealth metabolism + random 30
8 G: Q  R* l) ^* n          set vision 1 + random max-vision
8 n) H6 Y; A* z3 e& R2 J5 g; @             set wealth  wealth +  Wealth-inherited-low ]6 b& T2 p9 J: y# p, ^  U* {" u" {
        [ ifelse (wealth <= (max-wealth * 2 / 3))9 C$ g$ Q  E; R" S
            [ set color yellow 8 ]+ B+ l! s3 T) R
              set age 0
' t. p" `' C1 z: @              face one-of neighbors4
4 _" S  f. ]5 O5 t) E7 y              set life-expectancy life-expectancy-min +
5 L& w, X! P  s. n* E                        random life-expectancy-max + 1. p* S, G$ g. q, T9 [0 Z
              set metabolism  1 + random metabolism-mid
; _6 j+ r5 I- V              set wealth metabolism + random 30; i& S' c* p2 Y$ q: M$ o
              set vision 3 + random max-vision9 d9 w' d4 C" m& Z4 ?
                set wealth  wealth + Wealth-inherited-mid]# i  c, e, W! ]# s0 @8 m
            [ set color green
7 d& r; Q+ M9 w& q# S              set age 0; ~3 q% G/ l3 h% l
              face one-of neighbors4 ( E- B/ R" g. Y" U6 u
              set life-expectancy life-expectancy-min +
& H5 d: h3 i5 c% }. v                        random life-expectancy-max  + 2, X. S( r; P' x# }3 u) T1 F
              set metabolism 2 + random metabolism-up
: w" K7 A9 x9 v3 K              set wealth metabolism + random 30
, P+ h4 O  L4 z3 J0 @+ h2 A              set vision 3 + random max-vision
) ]' J) v- Y* ], e              set wealth  wealth + Wealth-inherited-up ] ] 7 H6 d2 j9 M+ h& M6 N; O/ P% P
+ f, d( u3 w# ^
end
5 X, v) X; h) g* ?6 h/ t1 a1 Y/ Hto set-initial-turtle-vars-wealth
( x! E" i! t+ ~" r, J" h  n$ | let max-wealth max [wealth] of turtles
! w; D; [8 I+ `' I% L+ B. P8 @          set age 0
1 g, Y# U  j! F5 d5 j( P          face one-of neighbors4 % B6 j+ A9 [' K% T5 P" D
          set life-expectancy life-expectancy-min +
' v1 x/ P6 `2 M' a% u" Q                        random life-expectancy-max 4 V+ U$ ]7 b$ n1 ~1 |5 d
          set metabolism 1 + random metabolism-up
& W# k5 K' X4 ]5 i0 R, E# C          set wealth metabolism + random 30" b! D. A' i9 Q, U3 K+ L
          set vision 1 + random max-vision : B" a) _- P4 N5 ^( x" l
end
$ J! M' S( E2 F/ }' N" ~2 eto redistribution7 q$ n1 j2 ?) g; l0 S+ t& p
let max-wealth max [wealth] of turtles  j: T2 V9 p/ f; l
let min-wealth min [wealth] of turtles( A8 L" Q8 B; s
if (wealth <= max-wealth / 3)
, A) d4 v( D/ K  v [set wealth  wealth + Low-income-protection ]1 z7 ]! `& y& p& _/ H4 y: D
end* R# {; J% Q! `7 Z) L. I
          " n& q$ o3 T% I- y, x$ y/ z
to recolor-turtles
, V3 g4 J; R$ z% k  let max-wealth max [wealth] of turtles
* I; b/ p7 E( `# X2 O8 C7 q* E; R  ask turtles
: j8 x! U& c* E; ^   [ ifelse (wealth <= max-wealth / 3)
. Y4 ^& E) [4 I" o5 L! |% J& A        [ set color red ]
+ n0 }+ b" @$ o# Z7 N( C4 V# C  E. m        [ ifelse (wealth <= (max-wealth * 2 / 3))
+ b3 Z1 ~4 `! N0 ~) i& {. S+ J+ k: _& B            [ set color yellow ]
6 i9 X5 l4 B9 Y# S/ k. a! N! w* R            [ set color green ] ] ]8 |! m# x* e3 g' K
ask turtles [ifelse show-wealth?! s$ J% w/ Q6 l5 u' J( v: f" `, e
    [ set label wealth ]
4 O& w/ R2 i0 U    [ set label "" ]]# E+ |9 \7 o# T+ F" ?
end3 r9 H# i& X5 H. a2 g

+ z% P+ P) u+ j" t$ _8 oto go
6 v* N& A- |( \  ask turtles
+ [& E8 K4 c+ b" V* _$ f9 X) ~1 h. z. f    [ turn-towards-grain ]  
, ~2 \$ e, i; A* Z7 Y" @  harvest- _$ s: |- l8 s1 e; ~6 r9 ?
  ask turtles, i$ e% c( O* g* X* K
    [ move-eat-age-die ]
' T  n9 p/ [) o. f  recolor-turtles
  n2 L6 t; s* i0 ]+ N  S8 Q  if ticks mod grain-growth-interval = 0
  F; x4 H/ }: l9 {2 v4 M    [ ask patches [ grow-grain ] ]# I4 a% E! z- |4 g; k5 c
   
3 n, y% F" q' c5 ]  if ticks mod 11 = 0
& r" T' F. `; g0 e6 v3 X% ~* y* T7 c/ q  [ask turtles4 T5 N4 h' t! X
  [ redistribution ]]
& ?! O  A8 [! p9 O  if ticks mod 5 = 0
0 a3 r! o* {) h   [ask turtles6 s% S1 A8 J& Q0 ?8 e8 m
  [ visions ]]
% Z; |. a, t# {* h/ ]  tick
# @  e- a+ l( }) m% u8 F0 O% o  update-plots
3 B3 z+ J- y$ d, h0 c' V8 Aend8 ^: R' j$ x+ M4 L: l
to visions) X+ X9 W) y: m/ H: L8 n, _( ^" U
set vision vision + 1 0 r6 n1 r& _0 [" b: g4 Q. _
end1 A7 d1 S: I% ^. P; }

2 a& h, J  n, r1 r$ }  Q0 l, ~; [: r0 D* g% F% {

2 p' a! s& b5 w9 }( `! G( i: F, X" Nto turn-towards-grain  ; k2 ?. N6 q. ]7 M- c
  set heading 03 R# T, s; G. I4 t6 _' A
  let best-direction 06 o7 j$ w* |8 I, U8 s! n
  let best-amount grain-ahead
" X2 x0 C( w' _  set heading 906 c1 B6 c5 ?0 a# c, M5 z
  if (grain-ahead > best-amount)5 w- m: B& b3 h; L
    [ set best-direction 902 A8 H8 y. Z: _! T3 J6 `
      set best-amount grain-ahead ]
4 X5 j4 J* B4 x  y# G* n' P! [1 Y  set heading 180! E) b; {) ^; {! J
  if (grain-ahead > best-amount)
$ j5 z1 Y" o6 }( u9 `7 p4 C, f    [ set best-direction 180( l6 y( V( G1 \) |7 D6 K
      set best-amount grain-ahead ]2 Y# e: U  {0 R& p7 N# K  Z: U! z
  set heading 270
3 _; u  _, `  Y9 V, K  if (grain-ahead > best-amount)4 K3 {) T7 y6 D  l) n2 v1 `  {9 u
    [ set best-direction 2700 l( U: {1 `( g8 q5 f, i& F
      set best-amount grain-ahead ]
4 `: K: B0 e& y; H! G1 U% D9 b  set heading best-direction5 \, c- A! x7 U, C$ z
end
* I+ B1 l. O# Q  t. n  A$ \' M& y/ b. x+ L" N) S1 ]6 _
9 X! L" w" W2 e7 w3 c2 r- c
to-report grain-ahead  
; v0 Q9 t+ w  \; J  let total 0$ ^) S3 A3 G0 q- e
  let how-far 1# m& }) y, L5 R& F* ^
  repeat vision
9 ~. I2 O6 f# n6 {0 ]( D, D    [ set total total + [grain-here] of patch-ahead how-far$ X/ q7 W( ]# U7 ?: M
      set how-far how-far + 1 ]4 P5 Q8 U! s6 j
  report total  s' z+ q' g6 p* Q# ]) D$ F
end
4 X0 M8 A) x5 L! F: U& o4 x
* V* V4 p* W9 C( vto grow-grain
  E# w) k& }+ i; c, |  if (grain-here < max-grain-here)
$ s1 F# B; j" W: P" t    [ set grain-here grain-here + num-grain-grown
; q0 l! Y; ^0 C- U6 d      if (grain-here > max-grain-here) 6 y2 z: N& Y% v
        [ set grain-here max-grain-here ]
' m+ O1 o1 q9 [+ H3 Z2 j+ N      recolor-patch ]
: K6 J& y- I, c& a% [3 _8 i1 z7 ^1 vend
: T6 o, S  U) G7 B. ]" V$ x6 d4 F8 rto harvest
8 D. G, |, r* y/ z$ R+ e4 D# U  ask turtles
* |2 [1 ~( d/ F7 u8 d- `# u7 w    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]7 ]/ K0 Q6 Z$ z. Y1 A, H
  ask turtles3 {) \; O5 t1 w! p% U
    [ set grain-here 0
3 G9 U& C; J. t" v" X- m* L, w      recolor-patch ], l1 o" }9 w4 E8 E( ~3 K2 a+ n/ ]
  
0 y. W: t: d5 h) B4 g% Fend
' e# m5 e$ R5 ~$ ~* U9 [9 U, r
2 m+ Q! ]' x* ]4 Uto move-eat-age-die  , d) ]4 \+ w, C  }/ m
  fd 1
( Q! C" r" N( H6 C! `& U* D4 n  set wealth (wealth - metabolism)
' }/ P! b4 W2 `8 ^7 l  E+ W    set age (age + 1)
+ C0 y1 n1 A4 B. l  if (age >= life-expectancy)5 m2 s* b" g& z6 I; j# |
    [ set-initial-turtle-vars-age ]# k$ {! O& E, K+ m) `4 O
  if (wealth < 0)
0 ]# c6 g) I" `9 k. v    [ set-initial-turtle-vars-wealth ]) t# m" c8 B) _# X* j
   
$ `% x8 w; L* B$ b9 ?% H0 hend3 I, W+ U  Y. }0 v% Y
8 s8 @6 G( j6 i9 g
! B  H6 E  S9 }$ {* b
to setup-plots
% |; R7 i0 Q: A/ U, m# x  set-current-plot "Class Plot"
( N2 X( |+ J# o  set-plot-y-range 0 num-people- z: f4 t; e% l) ~5 z. F8 b
  set-current-plot "Class Histogram"3 l/ q* p3 M* f( {! I
  set-plot-y-range 0 num-people
4 k2 \1 k9 z- l3 r4 fend
: {/ w9 a( ?- o% O6 s& x/ {" u5 f
to update-plots
9 `' B1 B6 T) j6 L  update-class-plot
* M) @# b+ _# |5 o8 r2 H  S, d  update-class-histogram% _) X9 k* _2 h8 i/ O5 I! |
  update-lorenz-and-gini-plots
: z/ L6 K( J* L! A9 F0 nend
1 S! b1 c5 p) ?. U7 ^7 \0 J5 B$ K6 [' \0 _. k/ w
to update-class-plot
% _% Y; \- ~. W/ ~9 U9 H6 @- I  set-current-plot "Class Plot"$ T) U% }- ~4 s" Z4 r
  set-current-plot-pen "low"& z4 I. P  ^0 D
  plot count turtles with [color = red]$ H; k8 Q5 |( i4 M; G) k
  set-current-plot-pen "mid"
) k9 \0 b' ]( T  plot count turtles with [color = yellow]
! N7 x0 T+ d6 Q* i  U7 A  H# Z  set-current-plot-pen "up"
/ P4 z: d. x+ k  plot count turtles with [color = green]8 o4 V3 ?  L; c$ K
end
; M8 ^! v& i, v3 f  Y, n6 v2 I" I' ?2 m& @' G: s# `, N
to update-class-histogram
% F/ `# z  y3 b9 U7 T: Q1 t  set-current-plot "Class Histogram"$ K5 O# P4 Q) e2 a2 g8 M3 f
  plot-pen-reset. A9 L& f  b+ O4 E* K) a
  set-plot-pen-color red. b& i8 W; O. J8 t, U
  plot count turtles with [color = red]
0 e! [7 b3 M: I  E3 Z- s/ Q  set-plot-pen-color yellow! c2 u! s. }, X8 `3 T! p: Y
  plot count turtles with [color = yellow]
8 F* G5 F3 w& h3 `) t# v8 ?  set-plot-pen-color green
: \, ]3 I1 ^2 Z" g! b$ ^- O( a! ~9 r  plot count turtles with [color = green]3 g" g: F" \' C
end
) ?3 ^, B& [# o; \2 ]% @; U4 jto update-lorenz-and-gini-plots0 J+ E7 h1 Q) |. T" t& y) q3 P3 l$ r
  set-current-plot "Lorenz Curve"7 e- ]. @1 s; r$ n7 e- F
  clear-plot. A) x7 \! K' ?" U" t$ F& Z
  i. N# ]4 Q2 }! T2 G
  set-current-plot-pen "equal"- e  }' F$ f) ^- }6 d3 b) _% R
  plot 0# ]" i: f, O$ O" b
  plot 100
0 v& q" g* O! k) a" p9 x5 U( R
; l! M0 Z  u7 S' Q9 }9 q/ T' D3 e  set-current-plot-pen "lorenz") r$ }, `/ q! G9 B5 O& d
  set-plot-pen-interval 100 / num-people% d& a7 X0 F: [! {$ K1 N) o
  plot 0
0 a. n: S* H9 q. s
1 i, K% ?1 \+ E% W1 V  let sorted-wealths sort [wealth] of turtles+ f' q% O) G( N. ]6 S% M% ]3 J
  let total-wealth sum sorted-wealths
! q  Q0 D$ Q9 k  let wealth-sum-so-far 02 ]- s. d! t: N2 Y# f0 B! \. R
  let index 0
8 }, U" v) Q! }  H/ k( M. o' P, D$ p  let gini-index-reserve 0
! Z. B2 c) m; L& {8 W4 m1 M! e! w9 s
  repeat num-people [
9 ^% O5 Y' I* u+ O5 t    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
$ K2 E: y  w+ C( V1 z) w    plot (wealth-sum-so-far / total-wealth) * 100" c; V" R. ~6 e/ b' O, G, H2 Z$ m# F: I
    set index (index + 1)6 @6 @; @) h' r$ [; X% w" ]
    set gini-index-reserve
+ ^, `# C- }/ E5 @2 i, K, B0 h      gini-index-reserve +# O+ W# J. \0 W
      (index / num-people) -
7 n4 N/ p" w) F( Y1 k4 k      (wealth-sum-so-far / total-wealth)! o! A: W  t6 P% l& P3 U
  ]
8 s+ M' v5 Y. V1 N
+ ^: Q4 E' i0 T0 J6 o/ }  set-current-plot "Gini-Index v. Time"
! m  D. U# o; M( F- k, M  plot (gini-index-reserve / num-people) / area-of-equality-triangle: [6 B$ Z1 _- k4 k* w% f& O' J
end0 u* l( P6 ], h6 v7 \; U( a  }; r
to-report area-of-equality-triangle1 q6 e' g: l7 y2 t
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)) K% J" s( A( A4 \$ S" P& J
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
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, 2026-1-24 17:25 , Processed in 0.021446 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