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: 8277|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
, U5 S3 Q# o$ z3 J, [( d$ lglobals
" U4 W5 I8 ~: h  T0 O[
3 x4 B+ G) `" z( e# o8 Z  max-grain   
; ^8 s& _& w% o$ w2 T2 E: F. }: J: q' y- i0 y' G
]) m+ A, n8 e+ Q2 }5 C& \
2 ~; O  q8 B( q
patches-own% L) Y" F: u/ u2 c9 Q
[& [+ W: K* a: t; }  }
  grain-here      . f: L' Y/ f5 K! f* {4 c
  max-grain-here  
5 c& z( D, m- b6 @; R6 ?]- A% s5 x  Y' ^# C/ _1 B: Z
0 C$ l" `! W" i+ O
turtles-own) U& O, X3 H) j, E. Q* v. m
[
; Q: }9 h' N) w9 g; C  age              
3 G+ J/ H9 E1 l) [. t4 m  wealth         
/ b" e  [9 b' p( \, y4 y. A# ^4 a& P  life-expectancy    }* s" u1 [7 B' C
  metabolism         F4 ]  V" M" N& c$ f
  vision4 Z7 M2 l4 s7 z0 }" X
  inherited         8 E7 \4 r! h8 v! F/ S3 q3 l. W
]# o1 I; x5 i* M1 z3 I6 C4 q
5 s( K, J1 W) o/ C! b" L

6 @  s+ Y7 N) J8 ]0 b) s) Rto setup
3 l2 D% Y6 G- o0 O6 U  ca( R- j  ^) k; q1 B) J
  set max-grain 50
  n2 C. m/ t$ x4 e  setup-patches
" T4 D1 V9 H: C# b  setup-turtles
, r7 a, w, v4 }2 k  setup-plots5 U3 X8 a2 F; J/ M
  update-plots
8 s' q7 K0 P& ^8 ]end
, V' p- l6 @6 D9 c5 ?' }to setup-patches$ J# E0 N! d% U- h$ Q7 p
  ask patches% s' J8 Z0 F0 k/ P9 A8 D% N
    [ set max-grain-here 0
# K$ l' R5 e: v& d      if (random-float 100.0) <= percent-best-land/ a1 m3 b0 u' Z4 \7 h
        [ set max-grain-here max-grain
0 K  ?; B0 O- \1 I6 M2 s          set grain-here max-grain-here ] ]
0 |. C" d) S  _: W0 {  repeat 5
' N% J% Z, k1 P4 J, m: I: B    [ ask patches with [max-grain-here != 0]
) h: h8 r/ [3 |, g$ o        [ set grain-here max-grain-here ]
- i( |! F. _8 i" x2 I& F0 ^5 U7 Z8 g      diffuse grain-here 0.5 ]: o0 @. I% Z7 _" X+ y5 w
  repeat 103 ~+ g! a& L, @$ |" Z  O+ i3 K
    [ diffuse grain-here 0.5]          5 g+ O+ @% J5 T0 ?5 Z+ [
  ask patches/ P! C" T2 R$ X3 t* D
    [ set grain-here floor grain-here    3 n1 l  Z, u  e; Q8 J
      set max-grain-here grain-here      - \' m. y$ J9 |: [3 ]; [' `
      recolor-patch ]
& r: }$ g! K( [; }0 pend
9 Z, l6 k; g  k' e( ~7 h3 Pto recolor-patch  
" O' B3 j! o/ }0 |  set pcolor scale-color sky grain-here 0 max-grain
/ I  M7 K2 I" U, d7 yend
# C0 }2 G0 j: |! Z5 h  M; w. Tto setup-turtles. z6 U- o3 V4 G+ I
  set-default-shape turtles "person"& X5 f0 g8 t6 l9 d/ z- C4 u& _
  crt num-people; ~% U0 v& X4 ]7 A/ o) ]/ j
    [ move-to one-of patches  9 i8 a- S3 n, Y+ D& K, t( Z; `
      set size 1.5  
3 X$ V$ d) ]1 J' r      set-initial-turtle-vars-age6 i# B* ~/ r& M  _  [$ S, s
      set-initial-turtle-vars-wealth
; {7 M8 {, I( y! S      set age random life-expectancy ]: s9 ^( b# R- D4 o% n  l0 o0 z) |
  recolor-turtles
/ `) S; p. j2 T) yend$ A/ a# H  Z) h
5 O! @9 {: j( A! f# T. _5 h* T- L
to set-initial-turtle-vars-age
' X0 }' Z7 P/ h- J. \0 e% | let max-wealth max [wealth] of turtles4 i8 ?8 ?2 F1 N
    . Q. V" p2 s+ P; |9 I
     ifelse (wealth <= max-wealth / 3)
3 y3 H. q: q! Y        [ set color red ( ~8 [) h& U; y' w( ^; p* x
          set age 0& W9 ]- m; _/ R: Y8 E) i6 g
          face one-of neighbors4 ! [! c! k- m3 W: @) P
          set life-expectancy life-expectancy-min +
& l$ o7 j, u2 F* ]  m0 h. D" ~                        random life-expectancy-max , H( l) B" g' u$ ~, p/ a" |0 Y; l
          set metabolism random 1 + metabolism-low
- J/ r* A* v" B: T0 l          set wealth metabolism + random 30$ m" ^3 J) G) t
          set vision 1 + random max-vision
- F: D( A, ~; f  B5 j  u0 O* t             set wealth  wealth +  Wealth-inherited-low ]
2 Q  {6 K( C# b1 B1 |0 x        [ ifelse (wealth <= (max-wealth * 2 / 3))
+ b9 k6 E( i2 j: D            [ set color yellow 8 _6 A2 ]- ?* o" Q- j0 A
              set age 0
9 F' r( g- r+ J7 c) E" u              face one-of neighbors4 3 K! V# k4 D3 K- f5 d
              set life-expectancy life-expectancy-min +1 m" ~. \  E: G' s) J1 X
                        random life-expectancy-max + 1
9 V% W1 h- ^  s/ Y) S  u% l              set metabolism  1 + random metabolism-mid4 {5 m" q7 y! O4 |; u- T3 X4 Q: ?
              set wealth metabolism + random 301 X8 t1 N/ e9 ^0 _+ M$ _1 h. ~) l( @
              set vision 3 + random max-vision7 Z6 m) [! ~! R8 m. {5 `1 K
                set wealth  wealth + Wealth-inherited-mid]8 [' w! X, O$ D+ a8 F
            [ set color green
3 ]. ]3 l, \% p: _1 ~6 f' I0 L! B2 A              set age 0: D, y1 L  h  L5 a
              face one-of neighbors4
; D+ d: [+ ~4 w+ W; o9 }7 x              set life-expectancy life-expectancy-min +7 M7 ?% x1 C; h
                        random life-expectancy-max  + 2
0 R2 A( q: D8 [. y& v2 H1 G              set metabolism 2 + random metabolism-up
& A, Q, o5 O3 ]5 h+ b              set wealth metabolism + random 30* m0 b( u" G4 l# F
              set vision 3 + random max-vision4 h5 q0 Z# q4 N% }
              set wealth  wealth + Wealth-inherited-up ] ] / ~+ h& [8 f8 r9 Y# ?
0 J- U2 r; B+ k8 g# U% V
end
) S" y' I9 `* zto set-initial-turtle-vars-wealth3 g* i2 D2 R, o3 f5 F
let max-wealth max [wealth] of turtles. D$ Y. L: I$ `- E
          set age 08 P) E2 I6 w, ~& n& ?
          face one-of neighbors4 2 e$ t- d- u$ p9 I* n4 e. n
          set life-expectancy life-expectancy-min +
  v1 S+ D( A8 v( R                        random life-expectancy-max
$ J8 |9 W! ?0 A! \6 [          set metabolism 1 + random metabolism-up( j; G0 P! ?% m: o8 _: i* y
          set wealth metabolism + random 300 r$ o8 h2 O% e  A/ q
          set vision 1 + random max-vision
6 R6 a; C6 X$ Q$ Mend$ i9 L' g' e" {1 K7 W5 D) r
to redistribution
" E% R4 h  U# P  K, |0 {6 Plet max-wealth max [wealth] of turtles
* o1 d5 w4 G$ T9 \& e7 c- Olet min-wealth min [wealth] of turtles; b8 K4 {  {+ O" x$ z2 U
if (wealth <= max-wealth / 3)8 J) p! x# t/ [4 ?6 h
[set wealth  wealth + Low-income-protection ]
: w, Q3 E3 N0 z9 M/ t4 w$ Wend9 M  ?! i, ^3 D; M# e) E; p
         
, i- R) Z' I, ~0 C, Z: lto recolor-turtles) w  Z5 {7 H, r" x" p% r$ \
  let max-wealth max [wealth] of turtles
7 ?+ S5 f  m3 K0 t, R  ask turtles+ Q0 a! m) L! @1 e5 s3 e
   [ ifelse (wealth <= max-wealth / 3)8 t5 y; u3 M6 w3 G  @9 }# \2 D
        [ set color red ]
7 v4 a1 Y( J" n        [ ifelse (wealth <= (max-wealth * 2 / 3))
; ~  e6 C7 U; z            [ set color yellow ]  V7 \0 b2 ?: }, A% f# c  R; K
            [ set color green ] ] ]
. F0 n, f( v5 k ask turtles [ifelse show-wealth?
( L0 Q& w! Q: o7 ]    [ set label wealth ]
3 X1 u2 f, H$ k5 ]- i1 |    [ set label "" ]]  Y! V* H# J! F. j8 Y# m
end
7 }+ N$ q% q/ @2 J* k6 Z( P
) L) t5 o- q+ k! }0 s" {- xto go
# i7 p% U) {* Q% b2 O) F  ask turtles
5 `! @9 Y3 w: e+ a    [ turn-towards-grain ]  - p, z: P9 y. B% ]0 {! v. ^
  harvest1 X4 ?- S( U& O; s2 B1 @: E
  ask turtles# u7 @) y/ e" I& q6 y
    [ move-eat-age-die ]1 Y3 \1 I) \3 k4 [
  recolor-turtles
% c( A" o( l4 a  if ticks mod grain-growth-interval = 0
# L4 w$ P0 j- G* z7 p% x    [ ask patches [ grow-grain ] ]
' v- ?5 n1 z  x) j: I1 \& y   5 i1 _+ {0 |7 k" W1 r' _6 {& D
  if ticks mod 11 = 0
' P- Z; l9 `# z2 A* X* ^  [ask turtles8 b: o5 [3 u& o1 L6 |( G
  [ redistribution ]]
" K/ a+ y4 {4 R  if ticks mod 5 = 0
! z- H& E, K" ~3 i6 c" R   [ask turtles
/ S+ X- T% Q* F. Z( K" Q* {- s, Y  [ visions ]]
. `7 |1 y. G; t: N, Q  tick0 M; b7 i! ~3 s9 ?4 l% j* o
  update-plots
7 D: C4 ~4 X0 w( _8 a3 Gend
5 f% F+ h* L6 [to visions9 x& e5 L- ?7 L2 n- ?
set vision vision + 1
* q' `5 x7 N2 W) H; g0 Gend
$ l* U7 G, K  }8 G' Y
  `( q* L& [5 p9 I5 _9 l
, k" e$ J' Z3 }; M% B& Q" E
* s$ E9 O+ {/ @/ m9 pto turn-towards-grain  
- i; k' p4 s3 r$ v& N7 a  set heading 0; k/ A2 ?! G# S  s7 S# y; r7 z
  let best-direction 0
  G: o# @8 o$ y% q" C. n; T6 {; s  let best-amount grain-ahead* m9 ~1 r+ k* \; i. B! ?  X" z
  set heading 90# u, w, S, G, j- x4 x* s" g. V+ z
  if (grain-ahead > best-amount)& p3 N! i" z3 ~- o/ }. W) P2 ~  J
    [ set best-direction 904 C# B, C% ?7 M5 ~7 x- |* f# \4 @7 N
      set best-amount grain-ahead ]" _, y7 l) I; O- w% S( M, [( c
  set heading 180
; S9 ?- _/ I3 R  if (grain-ahead > best-amount)
  w: l8 C' V9 g; C) h7 ]    [ set best-direction 180% K! E+ j& B4 H* q1 ^) u
      set best-amount grain-ahead ]
' C! a3 r( `& j3 b5 v  set heading 270* Z7 ^+ j9 X0 l- n
  if (grain-ahead > best-amount)
' r7 g* Y, E" I    [ set best-direction 270
; f) O2 R" J& ?' W# J      set best-amount grain-ahead ]
8 Z0 `0 S: i, a; `5 c  set heading best-direction3 I: M# B; \  _
end8 a- L' {, d$ R0 j% `! s  s
2 D& L8 t- s8 {# \3 |2 c
+ _# b# S& r6 w9 _' ~
to-report grain-ahead  4 c7 y4 S$ a: B- _  [1 b& B
  let total 0
/ Z8 j! _) P( G" X  let how-far 1$ p/ Q% N6 W& x% m+ G
  repeat vision
5 s9 [" v$ q% M2 F3 }2 n! X3 A    [ set total total + [grain-here] of patch-ahead how-far
7 t  P& ^1 |: u( ~. p' \      set how-far how-far + 1 ], _) s( E3 x$ E( i7 o
  report total
/ J! r+ J1 e" P& g! Gend
0 \2 k+ Z4 j7 [6 o
. O, H6 p' t8 L+ Hto grow-grain
6 N) X: |" z! s- A# K3 ^  if (grain-here < max-grain-here)
5 q& T' T1 ]: R+ Z    [ set grain-here grain-here + num-grain-grown- K! Q6 J4 ?! c. n
      if (grain-here > max-grain-here)
" h& v( u) |; t7 \. o        [ set grain-here max-grain-here ]
% }/ M# s6 ^2 w      recolor-patch ]
5 T% O7 S4 g6 fend/ [/ d9 J9 t) K9 j0 |3 q! Y& T
to harvest
4 _% ^* _$ E/ E( i+ S/ q9 P0 ~  ask turtles+ I7 R: y. S$ a
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]& w% l# n; ]; N  ^1 M, h
  ask turtles
* R" O1 S% U' L' I9 e    [ set grain-here 0
1 J& n& x3 K' |  ]& d      recolor-patch ]
6 g/ Y& a; Y* I8 ~) M3 O7 O  
/ K8 y2 G2 I* O( g% E+ G4 V0 Eend
. p5 o: t+ [" P9 A  \* e/ a* u
. @" n; M' h0 a! j2 G; X1 _" ito move-eat-age-die  
* b" F# D9 \, V: W, l: W  fd 1; T% d2 ?3 D* l# A  o) u
  set wealth (wealth - metabolism)3 b8 `) x/ e3 `( h# s$ u
    set age (age + 1)* T0 w. ?: P  J* x1 ~5 o+ p& z
  if (age >= life-expectancy)
8 z' }' m7 d+ P& P. d    [ set-initial-turtle-vars-age ]
2 N" Z; s1 a9 J, h( S/ e  if (wealth < 0), x# @! X) C8 x& f4 O0 F6 G  E. H
    [ set-initial-turtle-vars-wealth ]
+ h4 X2 p. N; w- ^+ t8 x) p    7 G, G. G- L" ?3 F1 z
end% M. }3 J1 O2 N6 p' Q: N4 |

' A9 I" l! R$ g) E
" Y/ ]( B9 E0 L+ P. A7 ito setup-plots
9 U. v6 l) z! h. a% T8 o" U/ L  set-current-plot "Class Plot"$ Y, s6 F$ d+ ?1 S, t
  set-plot-y-range 0 num-people
% ?: ^. c0 d/ T7 M; @7 s* ^$ ^# x  set-current-plot "Class Histogram"
. `6 h: y7 s9 h+ p. }" ]9 x4 H  set-plot-y-range 0 num-people2 a( W6 J+ g( n! N
end( ~2 \" e) M- A/ j
! _, w' t: |4 _
to update-plots
: o6 e6 x3 A$ g1 N6 o8 V: r' L  update-class-plot) J, ^7 Z8 c4 n: l
  update-class-histogram' O, V9 m; u8 [% q, c
  update-lorenz-and-gini-plots2 C, @# t0 N8 s& P6 D! Z
end7 _( ?  G& V/ A) _: o* h1 a

8 V8 I9 ]( k8 s7 G; H8 c3 \to update-class-plot
5 X/ Q0 ]& D4 A( s" a9 P  set-current-plot "Class Plot"
9 {, j- |. x& T8 M. X8 [4 p) q  set-current-plot-pen "low"
! _2 G8 z2 s, e# J# V3 q4 Z5 V  plot count turtles with [color = red]- W4 D3 o& R4 Z% \
  set-current-plot-pen "mid"' f1 X5 Y/ o+ T2 @
  plot count turtles with [color = yellow]
' `) O/ m$ t6 _$ L6 Q  set-current-plot-pen "up"
0 p4 p, Z  M( G0 |3 n4 ]  plot count turtles with [color = green]
- i/ E% M6 q1 r, e9 Dend- R; O7 ?# a  |0 T' p4 c. s+ `9 V

3 Z- ?0 z- n* O: Yto update-class-histogram
9 y. V% T; I4 N4 ?6 v- u, j% ?3 N  set-current-plot "Class Histogram"8 l: f9 G1 @& r" U: S
  plot-pen-reset
) X/ a. d2 d1 i5 J. l6 w+ Z  set-plot-pen-color red
3 ?- U( Y! _4 R' d% A% d8 W  plot count turtles with [color = red]6 K  ]9 G1 N9 c" r5 u
  set-plot-pen-color yellow
% z8 R9 U. H1 ?  plot count turtles with [color = yellow]
- p" M& p& n5 A  set-plot-pen-color green8 z0 D9 L1 R2 F; I
  plot count turtles with [color = green]
, l) _  r3 n- _) `7 [end# o! ^5 b% w4 O+ R6 w
to update-lorenz-and-gini-plots
% m/ {- L9 k6 Q) J9 R5 \( m  set-current-plot "Lorenz Curve"$ Z, s, O3 A3 K' K' D$ b
  clear-plot: C6 f% `1 f/ `7 z) ]+ X. Y* k
0 b: [8 s. l, }8 d7 Y
  set-current-plot-pen "equal"
+ L/ o$ Z6 F* o, n7 }4 M  plot 0
/ R2 n/ v6 d; T- H5 j, R) S) H6 `  plot 100
0 h+ @- d4 Y5 H' ^( b- I: d& q: {) C+ t8 }6 I: w7 e
  set-current-plot-pen "lorenz"
' M6 {# N4 V: [! x& z% M; u  set-plot-pen-interval 100 / num-people
6 ~3 C+ Z5 |3 E, s! K7 S  plot 06 c; w2 I1 l1 z

1 |* m$ U3 e5 I- n1 S* Y" Y# j  let sorted-wealths sort [wealth] of turtles% V) ?, e- i. H: _- k
  let total-wealth sum sorted-wealths
) W: L  g6 j! T: n  ]4 Q  let wealth-sum-so-far 05 t  p$ s3 t2 D( f- E
  let index 0
( V% Y. J5 h* w$ m% N) v  let gini-index-reserve 0% j4 @" z8 D. Y
1 D) D( S+ `9 X
  repeat num-people [
" a& y/ _; g, }2 K    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
! x; y" P8 Z# H# F: @3 P    plot (wealth-sum-so-far / total-wealth) * 100
5 q# v. {3 D) t" k5 d    set index (index + 1)
9 I' M( |* I0 Q3 M- i    set gini-index-reserve
, d; Z) ]! ]- }& u      gini-index-reserve ++ p" Y% ?4 D5 w4 |6 {& v
      (index / num-people) -
3 B  G# K& e3 I8 U      (wealth-sum-so-far / total-wealth)
1 b! `* K. v+ J  W2 J0 [& @! U  ]
' C* s7 h( ^# @  P: Y% w7 l$ c& r. s  D& o6 K
  set-current-plot "Gini-Index v. Time": s: V% U( \: N/ g1 W6 y
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
  n+ |. e: z+ }# t( g0 N7 qend& m3 x8 i9 q( Z# T/ l0 \( g& {3 g
to-report area-of-equality-triangle
/ L1 g6 G8 x( C6 U  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
8 ~# |6 I% f8 M, P4 U; bend
 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, 2026-6-16 20:47 , Processed in 0.014846 second(s), 14 queries .

Powered by Discuz! X3.4 Licensed

© 2001-2017 Comsenz Inc.

快速回复 返回顶部 返回列表