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: 8072|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0 N! n; N! v# E2 K
globals
, ?7 I$ k1 M; C. s+ X9 j2 @6 r[! m/ ~; \6 O# \: e; R3 O
  max-grain    2 r" b" t7 G  a6 d2 c

5 J# Y9 X; _1 r5 T  X  ]5 [/ k]
" i2 N1 P8 h5 M4 s7 |' f9 l3 Y; [4 n$ D
patches-own- v- C" l- o, R  r% ^9 ?) G  G
[& C3 ~4 M! ~1 d) B: f
  grain-here      
# s: U6 y* G# Y9 \  max-grain-here  ! e4 k2 E6 A- i, c
]
+ k8 u, M8 S0 C, @& a
2 S* J, A1 I% f& a0 G6 nturtles-own  Z2 a6 F4 _% p$ [4 E, O4 N
[
- f* l. \- I) ]  age              1 z2 d) R# Q0 Y! G- p( T
  wealth         
5 _+ ]2 ^1 N) `8 i( y) p+ I  life-expectancy    @" X2 B$ d; s4 m' L
  metabolism       ( N. ~- y. [. }8 R* ^; E1 z9 S
  vision
7 t& x; |# @  j; o' x8 }' W7 q  inherited         7 F: e, R. T- |
]
' ?' q. H7 K3 e, I# f, D- T) W8 v2 v; Y' S. h
0 T' s( p- D: B- R" `
to setup
' S% d0 S0 B& U3 s' s  ca
- J+ O4 |& \. S; {' `0 b* a) ^3 C  set max-grain 50
$ A% j7 }+ j; T, T1 P2 ~+ J  setup-patches3 M/ t- m* ]# Q) _  x  i7 }4 i
  setup-turtles
; h8 m" v: f7 A4 \; h  setup-plots
: U& ~; Y# f: D& _! C  update-plots
' y6 p$ s. G# Qend
! S) Y7 N6 M9 s8 lto setup-patches
0 e% ^5 n# G- f" G: a' K6 H) _  ask patches
9 ?" y6 X/ ^4 R! ?4 b! ]3 y    [ set max-grain-here 0
  g6 J, l2 Y( \( |: p9 v% p7 ^      if (random-float 100.0) <= percent-best-land
9 ~* R) D6 m5 o        [ set max-grain-here max-grain
3 [! n0 N  L0 a7 Y3 ]          set grain-here max-grain-here ] ]% S, B. P5 X; K# W4 w" N2 W- S# b
  repeat 5
, x& [; m/ K% n    [ ask patches with [max-grain-here != 0]
! Y2 X  @: j$ D3 |$ D$ M9 {0 b        [ set grain-here max-grain-here ]9 S) M, v8 X, w
      diffuse grain-here 0.5 ], k: ~* {) a7 @5 M, |
  repeat 10( Y8 v& U3 o; l9 N& y
    [ diffuse grain-here 0.5]          * `9 i+ q( [/ @& L6 A8 a
  ask patches
7 o7 w6 A' R3 V4 r9 M3 {) M: q* Y. v    [ set grain-here floor grain-here   
# }* M+ x2 N+ B3 O1 M: g      set max-grain-here grain-here      + ^, l  _& Z' M# e+ X
      recolor-patch ]
# o  ?8 d' M% V) N7 s4 Bend
- E, }, q" J1 M: vto recolor-patch  1 f2 J, A) h, j, n* Z# ?
  set pcolor scale-color sky grain-here 0 max-grain0 _; R0 g' h0 |, y" j
end
9 F$ Z$ X2 b  E" Y0 Q. a/ d: {3 \to setup-turtles; r' O8 }. @4 b- z5 Z5 g) s; R
  set-default-shape turtles "person"7 j3 a& d# J' s4 ]
  crt num-people
6 y: ~) u$ w: v2 _$ t    [ move-to one-of patches  ' p5 k( G! v# L* V- {8 A
      set size 1.5  0 _/ h( y  B- \+ M2 ]8 Q- C( L7 t
      set-initial-turtle-vars-age
* ^$ n( ~! B3 n( ?7 S      set-initial-turtle-vars-wealth
0 e' L$ l, f1 r      set age random life-expectancy ]
2 `3 j  W0 E7 V& B$ P( r' }2 O8 h  recolor-turtles. y) P% @+ A8 m0 N' I
end" O- ]2 m; Q5 K. Q
; S, X+ f) H' i& L, _
to set-initial-turtle-vars-age
7 H3 C6 U$ {/ A- x9 N8 q let max-wealth max [wealth] of turtles- l" i) I; w* {& I; ?
   
. f2 D6 I$ a; t6 n     ifelse (wealth <= max-wealth / 3)
; `0 X6 J, W1 G6 `        [ set color red
: S8 A. U) Z6 ?3 R( m" _6 Z( M1 |. g          set age 0
# f% ^+ m" r1 B6 K          face one-of neighbors4 , f/ q. ?) b7 ?1 l
          set life-expectancy life-expectancy-min +) q! h& ?. K0 ?* w4 A
                        random life-expectancy-max
- N7 m8 F' M+ e1 |$ V5 g( q          set metabolism random 1 + metabolism-low4 d7 e9 y: b2 @4 x! D/ e+ t/ p
          set wealth metabolism + random 30+ @0 W% n9 F+ H0 g0 A3 J
          set vision 1 + random max-vision# R  S. P/ q2 ^% h. M
             set wealth  wealth +  Wealth-inherited-low ]6 h1 u7 O9 S  \! a
        [ ifelse (wealth <= (max-wealth * 2 / 3))
/ y7 B; C% J. N3 ?0 D, v" n$ k            [ set color yellow
* v* |- z+ X/ ^% }0 @              set age 04 R7 `3 o# H7 T% w
              face one-of neighbors4
% N% a$ ^. I( J) r1 v$ H9 S' r              set life-expectancy life-expectancy-min +" J* z4 N' z" g- o7 V: Q
                        random life-expectancy-max + 18 n% Z" s( E* `; Q1 X- r/ X
              set metabolism  1 + random metabolism-mid
+ U  b- X% {, O0 K" j              set wealth metabolism + random 309 g( e! w( d6 y1 u
              set vision 3 + random max-vision+ m" H# z+ J/ z8 n  Q' F1 e
                set wealth  wealth + Wealth-inherited-mid]
. J+ @( w+ |0 y. i+ V5 A            [ set color green
8 ^! d  t/ r* F! x" U7 p9 s              set age 0
$ F# ^, o) J; G3 ~/ E              face one-of neighbors4
) ~9 f, F4 S0 e1 C9 U, n. r0 Y              set life-expectancy life-expectancy-min +5 [( F& T0 b4 |6 {6 \$ I+ z
                        random life-expectancy-max  + 21 ?& h$ X: X0 x4 A# P6 X0 b9 h* |
              set metabolism 2 + random metabolism-up  P2 X! g5 o% Z3 G
              set wealth metabolism + random 30$ t) f$ z2 S& R  |& [$ K
              set vision 3 + random max-vision% F6 O5 E, @9 }4 c  S
              set wealth  wealth + Wealth-inherited-up ] ] , w1 R! Q5 ~5 j

' e! M  A8 _7 w$ _0 ]end
* z* a7 ~( Z* ~! T: s4 n5 uto set-initial-turtle-vars-wealth) W1 U: a  [9 y3 C' |: P
let max-wealth max [wealth] of turtles
& X4 n- J* ~4 `" q          set age 0
1 I+ |! ]" }+ y$ t          face one-of neighbors4
7 r8 h1 `# Z) D5 O5 m          set life-expectancy life-expectancy-min +; @" h. `1 V* g2 Q! i6 k
                        random life-expectancy-max 5 n6 ]9 ]+ ^! h  j/ r
          set metabolism 1 + random metabolism-up) h+ T9 e) c7 u: c+ D
          set wealth metabolism + random 302 N0 v8 Z. a# p1 H% B
          set vision 1 + random max-vision
0 Y- s0 U, \. A& Z$ o( Q' Xend4 X  ?+ ?4 ~0 L$ ?
to redistribution: j- z* J) _5 T, W' i( h; I
let max-wealth max [wealth] of turtles
8 f# m* C) a' n8 [+ [6 ~let min-wealth min [wealth] of turtles
3 k/ L/ R) K5 {# A; p$ nif (wealth <= max-wealth / 3)
. N" Q2 j3 t0 {4 u3 c [set wealth  wealth + Low-income-protection ]
( A5 _( @* J. Z, l" xend/ k. H7 l1 {8 G4 X7 E% U6 M
          / W  C1 _) ~* S' f; H$ [
to recolor-turtles
) v( F. o' L* M' a. A+ s  let max-wealth max [wealth] of turtles
8 s" k- ~( ^9 g. ]7 E( O' H6 q  ask turtles
6 u& t1 w+ }, w- L$ p" c   [ ifelse (wealth <= max-wealth / 3)
9 i! B0 w3 c* A# G3 \. P        [ set color red ]4 k7 ?/ Q4 `: o+ B3 O+ m3 g
        [ ifelse (wealth <= (max-wealth * 2 / 3))
- Q( h% g0 a& d& q( p+ f            [ set color yellow ]
+ Z  b; E7 T7 y4 Y" ^5 Z            [ set color green ] ] ]; z: v: Y5 H8 s* `
ask turtles [ifelse show-wealth?' q* `/ Q- z6 V2 n6 Z
    [ set label wealth ]# m. Q0 f& c) ^2 [
    [ set label "" ]]
! p1 N. W( G% T5 U- v% K: Qend
) R& \% E" B" O9 \6 G: k0 c
9 u% {  }: B: o  G6 a# ito go
& g; C$ `6 j) x' R; |9 q$ M  ask turtles
1 ]3 w1 `9 t/ Y: T+ T; H    [ turn-towards-grain ]  ( q( h& w& s2 V+ n
  harvest
- P1 ]- s  f- ^- |  ask turtles
+ `4 w6 f( ]9 |7 }- m5 w$ B    [ move-eat-age-die ]
: l# F6 O  C8 p1 y; V  recolor-turtles
, X6 b2 V8 W2 H! c  if ticks mod grain-growth-interval = 0) @$ `; r2 O& u1 b
    [ ask patches [ grow-grain ] ]
2 d9 k& c+ X1 g   
# r/ V8 [' |+ f6 w  if ticks mod 11 = 0
+ I6 i" `) L0 M) [" i4 K  [ask turtles
# \! s; Y) _, \0 J  [ redistribution ]]8 n3 ?" q/ {) I( Z
  if ticks mod 5 = 04 N' D$ \% a! e6 M# @
   [ask turtles
1 Z6 d- V! L, v$ f- T& X! Q1 x  [ visions ]]& P- q& \0 `& @3 b/ @& K' l9 l
  tick" e2 v. g" ?1 H) a7 A
  update-plots" T- u4 u3 I) z
end
# H" K" q& N& {' s/ A  {to visions
- R. }& y3 w, u- V# b+ W set vision vision + 1 $ |- `/ I0 ~; S) q) W. O, u
end
2 O8 B, t3 Y5 }/ q# U/ d/ W- Z: _" z) Z: |7 W
* b$ F( r4 y9 p/ l3 Y' c

+ s$ v9 y: ?& A4 X2 ^9 N$ lto turn-towards-grain  8 H: K. K. n7 E  C; m' k8 D
  set heading 0- M9 |( T" O9 t7 p8 p; q( T, T& g
  let best-direction 0" T/ ]( |8 e# R9 r
  let best-amount grain-ahead
& y' x' I: R7 c& R3 ]1 ?  set heading 90
  l- K9 r9 k1 b  if (grain-ahead > best-amount)' B* }/ ~' s) H7 O( G9 b$ Z7 @! o
    [ set best-direction 90* l6 d  r1 ?$ M7 P
      set best-amount grain-ahead ]5 {4 m, Q- ]2 ?
  set heading 1806 _/ C  C1 g7 m4 z
  if (grain-ahead > best-amount)8 Z# g1 C# F9 R. g! Y
    [ set best-direction 1802 T5 Y0 _# M3 e+ S
      set best-amount grain-ahead ]1 ]+ k7 [$ W! P
  set heading 270
- ^, J, k( F3 ^' w( D9 b! ~" u  if (grain-ahead > best-amount)
7 P2 `4 H( A7 L! L  w( v% y    [ set best-direction 270
5 n, x& t. a0 `% D2 G      set best-amount grain-ahead ]) d2 `1 p6 k6 \: ~( ]/ i9 U
  set heading best-direction
6 B' C& A: D2 j: C0 xend" s2 n! t; S: E: ?
1 S+ A$ @  i+ K8 e4 _
0 C0 n! R* q0 X1 T) j+ X1 m
to-report grain-ahead  
/ ^$ V. @7 l; R1 ^/ i  let total 0
. n6 j% B$ u, ^  let how-far 1! ^- a* \6 R6 d" c: H6 Y
  repeat vision
" g$ h; s/ \: w- _# R    [ set total total + [grain-here] of patch-ahead how-far
$ r( [1 A4 G2 U% F! O& K      set how-far how-far + 1 ]
/ C# p) _4 |  E6 E% l7 h6 }% g  report total
  A: T% Y/ N5 B5 Vend
7 m9 Y8 \4 }1 T" Q; S% P9 h$ o9 J0 q7 _4 y" q" @2 g
to grow-grain
, a9 D+ o+ d9 L  if (grain-here < max-grain-here)( W' a& D8 K" k- q" `, j
    [ set grain-here grain-here + num-grain-grown
* R2 e! ]7 N3 K  \: l9 _% J( n      if (grain-here > max-grain-here)
0 `( p+ g( x1 k. f: Q; u+ G. |* S        [ set grain-here max-grain-here ]
+ v1 \4 I$ O( B% A8 b1 p      recolor-patch ]4 P9 d( d8 J5 D- T# w  ]1 }% _9 d
end
& ^$ O+ O* Z) ^7 [- C( u; |to harvest
7 A* M. ]2 p9 {  ask turtles. \: e  J& G# t% T: v4 q1 M! r
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
- F! k: ~  G* d+ f6 F8 L9 P% m' G  ask turtles
! `7 Y6 f6 s% O7 H8 {    [ set grain-here 0* Q! }' v+ q- Z% t  e+ l' m
      recolor-patch ]
( w7 n4 Z9 {4 Q: a$ e+ ^$ O( C  
$ Y' t, Q5 ]- Z9 l2 q# M# `end$ P( g" g1 i2 E/ R
: M" N4 R+ W/ B! d3 B1 a6 A
to move-eat-age-die  9 J$ i1 y/ {; J( [& h2 M* {1 u
  fd 1
) s+ I' U* d( _9 w4 i  set wealth (wealth - metabolism)2 L2 g+ V$ z5 q
    set age (age + 1)' x$ j# }% q1 B- D: S
  if (age >= life-expectancy)# ^9 O- g* [7 |3 z4 C4 j
    [ set-initial-turtle-vars-age ]
% r  ?2 Z0 R2 d  if (wealth < 0)9 f! C- W$ |9 H  X# N
    [ set-initial-turtle-vars-wealth ]1 {$ V- N1 }* ]2 X# d+ B- h) K% Y
   
+ x, Q* y- m  x( W9 mend+ ^( y% l/ _9 o7 b
* M; r5 V  u1 ~

, y+ c. {7 n6 Y  ?: Pto setup-plots
( S+ D$ `& s; V) Y( v2 j% ~9 [1 ]: V  set-current-plot "Class Plot"1 M4 `! p% N8 n) v2 Y0 N
  set-plot-y-range 0 num-people
) a. y1 E* S* X  S5 l6 ?0 ~  set-current-plot "Class Histogram", p9 o# v- C0 f2 R, z
  set-plot-y-range 0 num-people! P5 e9 G. a' |% Y8 h) d
end( V# j" r, z0 ]% u8 [9 t; [0 c
  a  p* S2 p1 S3 h
to update-plots. \5 S5 a  p( g& p: `
  update-class-plot
+ m5 @7 C7 [2 h4 s/ V3 i+ |  update-class-histogram
: Z; a; @, t4 @  update-lorenz-and-gini-plots
; {0 |6 G. Q, z( Q" Z6 V4 _& h% Mend
1 Y# }* {7 Z0 I1 N$ H0 V
3 K5 c" \0 o3 ~( V6 r# @to update-class-plot+ x$ \- w4 _$ s
  set-current-plot "Class Plot"
& Z9 _  L% J% z. K/ E. k) E+ @  set-current-plot-pen "low"+ _4 ^$ y  M4 @+ a! U' f
  plot count turtles with [color = red]8 j0 c4 L# u5 {1 R/ h$ I: \/ H
  set-current-plot-pen "mid"! d- m6 {* ?: _6 b4 K% i% n
  plot count turtles with [color = yellow]
; i. q* m! p- P  set-current-plot-pen "up"
. \; t5 ~5 T  F6 _  plot count turtles with [color = green]0 I$ a) d1 }' M; p+ a0 e
end5 _, e6 m& ?8 ~5 z1 ^! B% C

' i# y5 l* {* b7 v# j3 l" Xto update-class-histogram: }# {% }) M' d) q$ T6 Q9 _
  set-current-plot "Class Histogram"$ V$ ], f" N# D8 s
  plot-pen-reset+ O& [+ _- y" [
  set-plot-pen-color red: H* T3 ~* s4 h
  plot count turtles with [color = red]0 p2 u% C! ~) P+ H$ I
  set-plot-pen-color yellow
2 T+ \& i  i, O5 `" n4 c6 y& d9 W6 \  plot count turtles with [color = yellow]2 I# B3 ?  [2 g! _
  set-plot-pen-color green1 g- w! K3 q9 ~7 h! G
  plot count turtles with [color = green]
# n& @* H7 `/ ^2 N4 ]8 M4 Kend
% _8 q4 a$ ^8 j6 t# I2 d7 }0 I4 gto update-lorenz-and-gini-plots
4 b) y( K/ [; [1 M  set-current-plot "Lorenz Curve"
( x/ }* @! V, J: V  clear-plot5 M/ _7 E" J# f6 F8 p7 g3 w

) C: U' K  I% P  d6 ^  set-current-plot-pen "equal"
3 A5 o$ V2 B  s% q$ ^  plot 05 `- W) A4 v: y/ o; p3 m, [
  plot 100- g$ e. n8 b  c; ]1 J
% a% u* j" R/ ~3 H
  set-current-plot-pen "lorenz"; h( c0 W- l7 a# H
  set-plot-pen-interval 100 / num-people; b8 o* @' y0 T* D$ I- W
  plot 0. B( Z; U0 H# I& P. K+ L$ X3 X
$ ^( k7 `5 t4 H7 p
  let sorted-wealths sort [wealth] of turtles
- y- r) U% }# _  let total-wealth sum sorted-wealths- m# P, B- N: Q/ H: _7 W, o# m# V0 G& ]
  let wealth-sum-so-far 05 b' Q* R/ g  z  O
  let index 0  c' {/ w. P1 y  K1 r& D
  let gini-index-reserve 0% N; q. y. d1 f! \( _3 q& C4 C8 }
3 m% y; P. k# T  c
  repeat num-people [" k* P% Z0 X4 B: g! O6 S5 q& f
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)9 F: S( U4 N: V  r0 `8 G: S; R
    plot (wealth-sum-so-far / total-wealth) * 100# T* _4 G( R# f3 Q! l
    set index (index + 1)+ h0 v, G5 ?0 p
    set gini-index-reserve
8 n8 Q" Z$ }" V  y# E9 w6 l      gini-index-reserve +. ]  N& z+ r! R, ~
      (index / num-people) -
  v( v( O! }( J* L5 C0 l/ H9 m9 v      (wealth-sum-so-far / total-wealth)" Y" Q/ D% }/ x# @
  ]
3 J/ I% H8 K! `7 l1 S
6 [7 _: x( A7 u/ s# e  set-current-plot "Gini-Index v. Time"
9 n' D. z# O6 V  ?# |- j  plot (gini-index-reserve / num-people) / area-of-equality-triangle
! D7 S; j# |! v1 T( t6 e5 G& dend
! S  c4 ]$ o, x7 G4 Mto-report area-of-equality-triangle
; M/ ?# z$ g5 c3 j1 C  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)# Q, T  W1 `( d- }
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, 2026-4-27 16:14 , Processed in 0.015394 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