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: 7947|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
; r& y/ R5 [! `+ d, k" t8 |globals
$ A) f0 s4 l! S/ l; }[
- }% s+ J: s% d/ F" C9 G* h, B3 O  max-grain    & X* k1 L1 B5 b8 ?) \: V

' F5 G( q$ H" m- a# U]; @% v* r$ M' R

+ D8 c2 s8 ]4 v( zpatches-own5 ^5 f' ]" F9 d& C& Z
[0 W3 @& T3 M" Z1 S- G( e, L
  grain-here      0 \; W+ X/ u8 o
  max-grain-here  
2 D6 J' ]2 t1 r0 r( P6 P]! O" e3 G- {* ^6 N! D
0 k# f9 i; S. k
turtles-own6 F, H: X) I1 g( H$ ^
[" m1 E# {9 y# S
  age              
. J7 @; @- Y) }1 X3 E  wealth         
9 U0 H4 D" J% D/ w' |  life-expectancy  
4 K0 Z) G( Y- N& l6 N: b5 P  metabolism      
. ^( m# S% D( c+ {% u0 n  vision
5 V, M4 n8 q$ R3 H  inherited         0 U, @' v5 F7 {' _9 g0 g
]1 L! A" f& v! i
4 ~' `/ G% x- |9 x  }$ V

- Z: a8 X# p! e5 ]5 Kto setup7 P  q% j/ N+ v* N# H
  ca
7 n/ W' y& z; F; g9 e  set max-grain 50
: U0 Y( B( d* [9 a3 e% [8 V+ o, S  setup-patches
  `2 E3 q: t( z" o! D% ?  setup-turtles& e6 C2 U$ s6 S! n# L
  setup-plots
8 ^' ~4 C# O$ `6 T0 o  update-plots1 ~/ a: O: E" Y  h: I
end+ z, L( X  V* o6 b# _
to setup-patches$ `; X  b* Z3 u$ d  T% f
  ask patches" N; U+ i: f; E3 |% H
    [ set max-grain-here 0
' d+ h/ d. h3 D5 B) N  _      if (random-float 100.0) <= percent-best-land
  t( U% t4 S! F8 U7 Z        [ set max-grain-here max-grain4 `) t7 E5 _# P$ L4 N
          set grain-here max-grain-here ] ]
2 {7 g9 L* P9 t  repeat 5" c0 Z- g. U3 F) ~; n
    [ ask patches with [max-grain-here != 0]6 ^* a; _' }3 @; \& S$ i2 F1 _
        [ set grain-here max-grain-here ]
6 v, s6 l4 s5 ]) E      diffuse grain-here 0.5 ]
$ ]) s" w0 Q% t1 g8 `  repeat 10
( T# }. G- D: X8 f    [ diffuse grain-here 0.5]         
0 l, \! w& E6 x+ w# j4 ]) q  ask patches
- u. u1 \; [, X$ @    [ set grain-here floor grain-here   
$ V, n8 ~$ H# t& H      set max-grain-here grain-here      
. I3 I! B: n9 ~) u. L6 u3 ~      recolor-patch ]
, j  h+ {5 l2 A9 }* Send1 Y9 Z, k# I# `# J) d$ D
to recolor-patch  & q' r& O/ z8 M8 _$ b) Y0 Y
  set pcolor scale-color sky grain-here 0 max-grain( g1 Q6 e' e' v* u* d& W5 n6 C( v
end
( t% y3 ]$ L4 X9 y  Dto setup-turtles
; Y& `3 J1 }/ L/ l) `  set-default-shape turtles "person"8 }; D0 ]+ ^$ q* ?/ n
  crt num-people
0 t* V6 J1 z: T7 l    [ move-to one-of patches  
% C2 a% w0 B1 b0 K1 u- @2 `8 A      set size 1.5  
4 `/ m. u% B6 ~6 b& W      set-initial-turtle-vars-age$ e# G/ J2 f. `% j' f
      set-initial-turtle-vars-wealth. S: _! A5 N6 T- S. i" A& a
      set age random life-expectancy ]
5 c  [! z& I0 p6 S2 d. `' N  recolor-turtles! f! ~# [+ d4 ?6 ^* {. i# P
end
$ r9 D. A) }+ D1 K; F0 V) w5 F5 v; u: S& M5 g
to set-initial-turtle-vars-age6 z" h1 h" }# y3 [% z
let max-wealth max [wealth] of turtles
6 u# Z4 O/ A% {0 q7 e7 s   
: |4 l( g% Z; J2 t5 h     ifelse (wealth <= max-wealth / 3)" B& g5 m, p) c. ^1 G0 W
        [ set color red . u3 Z5 C% _) P% n2 `3 q
          set age 0
2 q( i, S. Q: A2 ^          face one-of neighbors4 1 j% g  g$ w* E2 l! b% p
          set life-expectancy life-expectancy-min +
" e. O% ?2 u- t( y/ f4 x- R2 b                        random life-expectancy-max
/ Q: s( n- S+ z& h5 _, b          set metabolism random 1 + metabolism-low1 i9 p! o! g: j' E! {
          set wealth metabolism + random 30
( R8 V5 \1 J6 g5 y9 b+ R$ d/ a8 F# Y          set vision 1 + random max-vision, ~- A5 K! l% J6 {) B
             set wealth  wealth +  Wealth-inherited-low ]1 `4 h9 Z: y) a' u# o
        [ ifelse (wealth <= (max-wealth * 2 / 3))& ?1 ], ^/ Q( [
            [ set color yellow " G$ N' V2 z) b& }, P
              set age 0! `$ y: A, t/ p- u# X. c
              face one-of neighbors4 : _5 H$ l" o( t, k" s# k" h! |  _
              set life-expectancy life-expectancy-min +7 r) e9 L! Q0 @7 K% K) _
                        random life-expectancy-max + 1
/ S+ R# ]. P1 ?0 J$ H( J0 _              set metabolism  1 + random metabolism-mid
5 l( g' S& e) w- J              set wealth metabolism + random 30
' C$ E" z4 \. |/ v+ d              set vision 3 + random max-vision
6 N8 W# r1 }; k! r3 i# J$ U                set wealth  wealth + Wealth-inherited-mid]0 Q5 a" v2 v. b- x' c% l
            [ set color green
7 f$ I6 C9 u, B0 {8 A& C( i/ g              set age 0
0 M; `- D3 y8 ]2 o8 g! i& S              face one-of neighbors4
) M# P! Q# T& R8 b7 y              set life-expectancy life-expectancy-min +6 D* E( ]2 a: M/ g
                        random life-expectancy-max  + 28 p2 h: v$ }0 i3 R
              set metabolism 2 + random metabolism-up( `% ~4 w* y! |/ ~1 Z1 c
              set wealth metabolism + random 30
6 q$ `  Z# d) A5 F* u! a5 M              set vision 3 + random max-vision
  W! Y0 J+ q0 k. q5 {              set wealth  wealth + Wealth-inherited-up ] ]
& ?- n: F5 l" L- G
2 o6 u( M1 D! `' ~end
1 b8 Z9 w2 E/ L$ Dto set-initial-turtle-vars-wealth6 H; x% R% L* [# k
let max-wealth max [wealth] of turtles7 V0 x" a( N4 C" n/ E
          set age 0/ ~, O; o  M/ P0 \: F; @1 N9 B' Q
          face one-of neighbors4
" t! R3 k. \% |$ o          set life-expectancy life-expectancy-min +
( m& v& |, B( A, w+ X                        random life-expectancy-max
7 l5 Y% ?7 i; Y% b" |          set metabolism 1 + random metabolism-up
9 j  v. V$ O) ?          set wealth metabolism + random 307 c. z4 X: B! W* V! F
          set vision 1 + random max-vision 2 c' A+ v7 A0 p% H' e
end
/ I9 w2 T& g6 N, x) Rto redistribution; e" l) h& M9 |( }6 P1 `) b2 q
let max-wealth max [wealth] of turtles
9 z0 B- k$ k2 E0 w( mlet min-wealth min [wealth] of turtles
+ F$ ?' e8 l) ]4 y% sif (wealth <= max-wealth / 3)' A' g$ P) i; O" }: ]) ?
[set wealth  wealth + Low-income-protection ]- F( x, `6 X. f) ~( V' r  h' A& r; I
end
, q4 i1 |7 m$ k) z. p! _          5 [" X" `. w3 j/ t3 `) A+ G
to recolor-turtles
# U! z6 h8 C; U: g  let max-wealth max [wealth] of turtles
! S( p% V1 M! b! a  H  ask turtles: [, D6 R' N0 p7 G: G
   [ ifelse (wealth <= max-wealth / 3)
3 S" b/ C# N* \; y        [ set color red ]
+ W1 }6 P: H  O* _7 B( h        [ ifelse (wealth <= (max-wealth * 2 / 3))
( d7 R8 m! I9 p- V# \% A$ y1 j            [ set color yellow ]' w  i! t3 I& W- L% N+ z
            [ set color green ] ] ]
3 ^! j& _( {8 m* ~; l: J5 c ask turtles [ifelse show-wealth?
$ F# `( p) }6 a9 [& t7 Y. S& _( R    [ set label wealth ]8 O0 }8 h' Y- J$ a5 Z* {4 \
    [ set label "" ]]' O1 V3 p7 k$ A0 c
end
' B: `) z& l$ r: x- {/ s0 s6 W# E5 x1 n0 w+ |( p, `+ G5 Y
to go
6 w8 I0 d7 b: j" @0 \  ask turtles+ ^% h" @) V' ?- q3 Y7 e6 V
    [ turn-towards-grain ]  
( U; r# G5 X3 {8 l2 R6 o  harvest! Z" W+ i* g5 v& H: e) A) s0 S
  ask turtles* e, h, V8 ^% x1 E5 A
    [ move-eat-age-die ]
& T# r& j3 H3 I) {9 q  recolor-turtles3 I5 V8 X$ X2 D6 S) S
  if ticks mod grain-growth-interval = 0# ?/ l8 L' @* ]7 j
    [ ask patches [ grow-grain ] ]& b0 ~; X& C1 G
   + P, @. r3 [4 }0 A( t* L
  if ticks mod 11 = 0
; j, j3 I( [% s  [ask turtles
5 T; K7 h& h& b6 s& {4 ~  [ redistribution ]]
7 i$ |3 }2 C" c" d% G* F  if ticks mod 5 = 0/ N# K; t) E! e% l* c
   [ask turtles" J. n- }- h; |$ E$ b; h7 u7 ?
  [ visions ]]
& Q% P+ g% m8 o4 f  tick
6 T# j7 {9 ~+ r5 D, [  update-plots9 Y3 z8 x9 [/ o; T( _! b6 @
end' ^$ C; i- V5 u1 a6 c4 m
to visions
; }' S% p2 f! I) G6 i) e set vision vision + 1 3 ]; Y% J# g; x# s1 N  @+ o* m
end
9 U/ m! Y  {3 `, o. D$ C7 n
$ d1 R& x4 N7 J8 a( e) m; D. Y$ T) w: ~# s& m& T9 S! D' s
0 f- D* n8 t: f: q$ k! P
to turn-towards-grain  
& K6 ]. L' t6 d. G  set heading 0
) g1 r. X, x! Z' q  let best-direction 09 b% J0 N% f0 T3 ^, [
  let best-amount grain-ahead
  U& r6 t; y2 J4 b( R  set heading 90/ I; m! ?' T6 x
  if (grain-ahead > best-amount)
+ Z4 G3 l4 S' w/ G    [ set best-direction 90
  F" R& U  i; E  Y1 I, J% m7 o- A      set best-amount grain-ahead ]. M+ G+ h" p% l* D- D" m
  set heading 180
1 m, j& C6 {9 e  if (grain-ahead > best-amount)) l3 b5 e8 M- G" I) A" q
    [ set best-direction 180
- g7 _  |" f7 D0 e% w1 A; A8 K      set best-amount grain-ahead ]& F, b; i' n1 z. s" ^0 a
  set heading 270
& V) c/ ~) _# o% t  {$ M  if (grain-ahead > best-amount)
' O- b2 P3 k% M5 x    [ set best-direction 270
* w" c2 d4 ^; [      set best-amount grain-ahead ]
% T: q1 m4 V* n( a7 g8 A4 A) D  set heading best-direction; \; K- I$ \8 Q& v/ N: Y! r
end
; d5 }1 A& P+ X' e$ h
- [+ U- ^3 o' m( r- R8 S  q. O  T: D1 ]7 B, p
to-report grain-ahead  
& h  G3 B7 Y3 h/ b" X* E  let total 0
/ N4 `; D* R0 \; T! a  x  let how-far 1
. t; y0 |; X2 [2 c! E  repeat vision$ b- t0 C2 {4 [% r
    [ set total total + [grain-here] of patch-ahead how-far
' n) G7 _4 z( D5 ?: u: y0 S      set how-far how-far + 1 ]6 l& y$ s, M: p' f6 Y
  report total
' H* `; A$ t; rend
; H/ i2 M1 @1 t. ^1 R2 Q3 L
' ?# O% r4 V! ~) i1 b2 E# F9 Hto grow-grain
" u0 F5 O3 L! U( {! X; R: i3 u  if (grain-here < max-grain-here)8 z- o6 H: \* l! |
    [ set grain-here grain-here + num-grain-grown
1 W  b6 G- p9 M9 A      if (grain-here > max-grain-here)
* B9 A" i9 r, f" R$ j        [ set grain-here max-grain-here ]& [( m* m0 B5 ^9 x7 @" ?
      recolor-patch ], u2 J9 V. R9 M: L, N1 i; D
end
+ o2 b4 n& _  I. s9 x) lto harvest. w" R2 ?# Q, o% Q
  ask turtles9 T. ~# ~2 T9 Q3 F1 O
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
4 h% t% V; I2 g5 I6 ?7 }. H+ ?  ask turtles
3 Q0 V+ n/ _& a    [ set grain-here 09 e9 v( Q- V0 N" v. H# D( [1 Z
      recolor-patch ]
0 h$ j7 i1 q" {% K& g" t  
3 ~6 l4 U4 `9 j. J( B/ [end) V  o6 }- w8 w# c9 P% f3 }3 D

7 i% Z( b* p% I: m1 J5 [to move-eat-age-die  
2 O% r5 f  ?1 @( {% |* o  fd 1( J/ o3 ]; B& z  ?2 v
  set wealth (wealth - metabolism)
% ?! n( g  H6 i* {4 Q! J  d7 Z/ `    set age (age + 1)
7 z, ?+ ~7 C# T; ~  if (age >= life-expectancy)0 k* I4 {+ {8 I& G: W; i
    [ set-initial-turtle-vars-age ]
* p0 v% k2 m) K4 z  if (wealth < 0)
/ }' F) m' l; p; w0 {4 y    [ set-initial-turtle-vars-wealth ]
$ [0 R, S) n% p    0 r2 V) {! [' e1 i. U! N: T
end2 O' L; v- f$ o  Q( F/ t! [- l, z
+ e- ~) W8 P) i" C, H2 j& T- f/ y
) e4 J  R. O+ P; D( t+ t9 `9 Z* V
to setup-plots% |. q2 R. W# @. B# o- e2 {0 o# ~2 n
  set-current-plot "Class Plot"$ `# [: F: L9 U) a2 @) |0 j
  set-plot-y-range 0 num-people
. X/ C$ u% u9 @( T8 j) {3 L  set-current-plot "Class Histogram"! i* a8 G+ }% R& j4 |8 y. {% r
  set-plot-y-range 0 num-people7 G: U6 I. J4 o6 H2 X
end
9 u$ V* l) \3 q2 I( z3 X
4 K# r- ]: {0 s* f0 `to update-plots
* B0 [0 W& W9 M( W3 v  update-class-plot/ w. `4 m% O+ j
  update-class-histogram: d% @6 ^0 a0 o7 K( g
  update-lorenz-and-gini-plots! R% X' ?$ J4 j; F8 c9 J( l3 z  `
end/ H: C: Q: {2 q2 ~! o7 j
) \6 a) F# r$ w( D: H
to update-class-plot7 d4 A# L# h0 r
  set-current-plot "Class Plot"1 [/ E" C0 T% a) x' ^
  set-current-plot-pen "low"! m* a/ u& {5 P- l
  plot count turtles with [color = red]# _' a; a5 f. J# I- i1 P% R* D
  set-current-plot-pen "mid"
  Y. U) y, _) Y# G  plot count turtles with [color = yellow]( A& f! R$ b4 ?2 @! \
  set-current-plot-pen "up"/ Y. s, \1 z0 O5 V! p8 ]! q7 v
  plot count turtles with [color = green]
$ h8 e# l* @: K3 l7 Yend: Y! G7 h: p! d) _0 \+ C9 B
! T# e# o  c' `) Z/ E
to update-class-histogram! }& j- y" o; z4 u# G
  set-current-plot "Class Histogram"
+ b! N$ `; |" _9 u( D4 U1 L1 S  plot-pen-reset
' O" ^6 T* t+ {9 G  set-plot-pen-color red8 n. ^! y( S  t& t. H
  plot count turtles with [color = red]; E) [  c/ T. k! d
  set-plot-pen-color yellow
+ T& \+ o/ _2 v: P$ ^+ w  plot count turtles with [color = yellow]7 E! S/ g/ v& Q' p! x- k
  set-plot-pen-color green( i$ L" I# e6 Y/ ^& d0 L
  plot count turtles with [color = green]
1 y2 l" L3 I  o3 p) o# T6 C2 W$ r) d) ?; Qend
; F$ _2 i6 D5 o/ o8 Q( Uto update-lorenz-and-gini-plots+ [# I3 ~) x& |' i0 a% K
  set-current-plot "Lorenz Curve"9 f+ {& ?8 x  V  m' E0 N
  clear-plot7 w# K) |. Q! O# F

9 l- J1 _& x0 s8 F' ^7 L  set-current-plot-pen "equal"
& _: i/ @6 H; J. ]  plot 0
) [8 O) L( Y/ [  plot 100
' Q- S0 f* A7 ^1 Z" K& v4 f  e( o1 Z1 ~) _
  set-current-plot-pen "lorenz"
" q. u' E4 c% t( N. i8 a  set-plot-pen-interval 100 / num-people* p  x! i9 h' n+ s
  plot 0/ G6 I8 f- B6 A4 A& w& ]9 E
1 w7 J, j2 i& N- F/ r
  let sorted-wealths sort [wealth] of turtles  a6 U8 C0 }4 {, B4 F1 V6 R
  let total-wealth sum sorted-wealths
$ Y: Z4 g: ~3 G; X  let wealth-sum-so-far 0
& z# l* b# Z) }  let index 0: Z* z# x% L& x$ D
  let gini-index-reserve 0
! H5 e$ c) R6 P8 `- B9 k! v/ ]! G) t6 d; w* V+ t
  repeat num-people [
# u) s# K' ]; c, N, h- I3 g8 L    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths). l. J" q: L7 i" l  n% q) S7 c# T! O+ X
    plot (wealth-sum-so-far / total-wealth) * 100# k; e+ t8 J- }$ b, e* [
    set index (index + 1)
1 o( W$ L8 J8 e3 ~- R. G    set gini-index-reserve
% ~0 ~" k0 q7 M3 {! y( R5 o' T      gini-index-reserve +1 e* i$ e- C0 b" n
      (index / num-people) -* x( w# l# q0 |( ?! H: @8 p: q
      (wealth-sum-so-far / total-wealth)( s* F% C. y6 b' G
  ]
  I' W; U! \, x, y! \- T
( U) `2 \9 N3 Y+ c" }& o/ ~  set-current-plot "Gini-Index v. Time"4 M" {0 ~) ]$ E  M; t! X) B3 g
  plot (gini-index-reserve / num-people) / area-of-equality-triangle) z& O- l9 B1 R* n; l( M# F
end
1 D( {9 ]( g! |  t6 Tto-report area-of-equality-triangle4 G% v) \( d8 t& J2 @6 N, N/ f) Q& Y
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)$ i7 g! ?% a. i# b+ S
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, 2026-4-12 00:33 , Processed in 0.018995 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