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: 7475|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
5 z. X! |  j9 `9 `& |3 B6 G  x) Z+ R  Aglobals$ @5 w9 @, p7 r$ E4 ~
[
0 i% }: z+ x( X; ^$ N* U  max-grain    4 G: J. w/ w) ^9 q5 u, u
; c  L: i) M8 ^, p0 S- J
]/ G, \, A% O- F0 c8 i1 k

+ [0 b, e' U$ Z( T) V( M! zpatches-own
6 J; D2 ]- w5 l[
2 p2 ]  z5 k1 G) \# @9 F- p& E  grain-here      2 [# v; |4 q' `
  max-grain-here  , `' t% c( T) R: Z5 u7 ~
]
- h1 X9 @" o* h6 F0 W, x" `1 r+ A" Q' z) I
turtles-own( @$ J9 d1 \. P1 L
[
# x. y6 N6 z+ ]$ L  age              
  V7 d* j4 Z! t/ ?' r3 A( o5 G( N  wealth         
6 k3 z. ^5 I5 {  life-expectancy  / K& W- n  l+ _, N8 E
  metabolism      
  Z* |' l' ~5 ?6 K9 p  vision9 V. A9 f" e" p/ s) _6 n' S
  inherited         
9 P  ~( R0 L% r9 _5 g]
5 k* y0 k& C' X$ P7 M: Z. N7 ]4 e
! t$ l* ~" C# S( `8 O1 z0 e7 h0 Y' x& ~! G
to setup5 `6 r. F/ B( V
  ca
! e' p$ r; u3 v. [: v  set max-grain 50
0 x: t# [" U- H7 t. l: R  setup-patches
$ b) w5 U2 X  n6 z% a  setup-turtles
& i; B* r: W' p* [/ s  @  setup-plots( j! v* A8 ]9 N% k$ N5 j5 P
  update-plots
% p$ Y1 n# P$ n$ ~end
* n/ K/ l2 t6 ^. k1 O/ J# cto setup-patches2 L7 u7 z/ l: z- ~! J+ Q. t6 k+ T
  ask patches3 d+ _6 Y: ]0 X1 x% |
    [ set max-grain-here 0: H$ I( b: y' S- d" x  Y+ w7 ]9 C. K6 j
      if (random-float 100.0) <= percent-best-land, E8 U' p8 t$ F7 U: I0 ]$ B
        [ set max-grain-here max-grain' {" \$ g4 W1 e5 i5 r# W
          set grain-here max-grain-here ] ]
* N' @% J: k1 }  repeat 52 p- i1 @% E, b5 Z: z5 i! ~2 _
    [ ask patches with [max-grain-here != 0]6 ?6 ?5 j' H: H% H8 Z% C' U( A
        [ set grain-here max-grain-here ]3 U$ P) R4 C8 c2 I4 o3 S
      diffuse grain-here 0.5 ]
" @2 X% W6 H' X( A1 g( [  repeat 10. i$ @6 w) G1 O+ M* f6 P
    [ diffuse grain-here 0.5]         
" x6 x% |! K& R  ask patches
6 }' P7 ^8 f- w+ v! I. ]- ]0 F    [ set grain-here floor grain-here   
6 I" i5 V+ F( t& L+ i% H2 ]      set max-grain-here grain-here      ! S1 x" a2 q9 w& r9 ?
      recolor-patch ]
0 f7 a; {4 D+ S1 i" p1 O; ?end9 f& R; u9 w: k- F" D
to recolor-patch  
; _% T  M( ^  t7 P9 U  set pcolor scale-color sky grain-here 0 max-grain
: {- H- k* y& t. y3 P. S( pend
, K" ?* v, n0 X3 D8 ito setup-turtles+ [9 E, E2 D- s' R2 C# b
  set-default-shape turtles "person"
: q+ s5 V; L0 x7 g9 r  crt num-people6 F% n6 C0 f! ^4 c
    [ move-to one-of patches  . j# G: X' e) ~. O: K) m* g
      set size 1.5  5 @! d+ s2 o( n8 p; j7 Y
      set-initial-turtle-vars-age
7 q# \. j- s; A      set-initial-turtle-vars-wealth$ T4 I7 |8 j( |, z+ y. Y9 J
      set age random life-expectancy ], ^+ [5 M$ b* E1 D
  recolor-turtles! m# N7 `/ b: K/ e8 \4 w
end
. c% U  H- u% A0 Y# N
7 P8 N- w7 l* T* a* C/ ~1 yto set-initial-turtle-vars-age
1 I1 Q( [3 q* z7 u2 p7 ? let max-wealth max [wealth] of turtles
" E$ j1 O9 A1 T1 T    1 @' T; P3 l2 N
     ifelse (wealth <= max-wealth / 3)" O# ]8 ?) j- }! }# M
        [ set color red 0 J+ }4 V; ~) m0 h! r
          set age 0/ M+ ^+ r$ @0 Z5 _3 ~$ K
          face one-of neighbors4 $ g% V! l5 T2 S' u+ A
          set life-expectancy life-expectancy-min +
& [2 W* U* H* \, n6 a# s; o                        random life-expectancy-max
9 Y: K! H8 B* x8 J1 r# d          set metabolism random 1 + metabolism-low6 ]& \/ o7 V4 C) z1 b( K7 \
          set wealth metabolism + random 30
0 s, D2 z% E' `( c! c1 Z          set vision 1 + random max-vision- n7 z8 i$ W+ u6 r4 R
             set wealth  wealth +  Wealth-inherited-low ]/ y( L2 N' Y2 N2 N
        [ ifelse (wealth <= (max-wealth * 2 / 3))
0 l: k& {* V5 t& h* e! y/ T! O/ D  \5 D            [ set color yellow / Z' m3 P* C2 z
              set age 0
" q) f, I, p/ f! K% y% P( w              face one-of neighbors4
) T: q' z2 n% [. F$ e1 {              set life-expectancy life-expectancy-min +$ I+ b9 s6 m& ]9 H3 J' L
                        random life-expectancy-max + 1, A+ k# o# }7 h# u7 _% t6 i. K
              set metabolism  1 + random metabolism-mid
+ t" M5 o2 u! m4 z: p9 p, u$ q              set wealth metabolism + random 30
: b4 O& ~" v  a8 M7 m9 w              set vision 3 + random max-vision" k) S4 I* U- {
                set wealth  wealth + Wealth-inherited-mid]8 }  Y7 g2 `3 b. Z
            [ set color green
6 p0 V# |! Z0 B+ Q              set age 0# [1 U. _/ h* \* L4 ?
              face one-of neighbors4
, t+ q9 [- A3 F( w              set life-expectancy life-expectancy-min +: @$ l" Z$ O- }* ^1 W
                        random life-expectancy-max  + 29 x4 Z! U: S/ a
              set metabolism 2 + random metabolism-up% K& Z# X/ G  X% e
              set wealth metabolism + random 30
, i( h* O- i; s0 \( }              set vision 3 + random max-vision
* T& G+ c5 @- S! M: S              set wealth  wealth + Wealth-inherited-up ] ] " O, O9 c* P2 p+ }# @

! @) P5 E! y+ D7 Bend5 R3 q7 K  `" w2 m, a, U
to set-initial-turtle-vars-wealth
) h7 r$ `$ ]/ r. j( Z let max-wealth max [wealth] of turtles8 e# ~8 m6 \2 g6 G, F' G
          set age 0/ N; R+ b% L0 K+ K+ D
          face one-of neighbors4
. x9 b) c7 N, C/ ~0 `          set life-expectancy life-expectancy-min +
$ I+ b9 G* W5 P/ [7 ^9 Z' l7 t                        random life-expectancy-max # N. H4 L6 g, @9 p
          set metabolism 1 + random metabolism-up
0 w- X  N4 g3 ?  e) C- |          set wealth metabolism + random 30
/ F; B5 O' x8 U" ~8 \6 a: m' {          set vision 1 + random max-vision : V5 C4 u, `5 Z. t9 z1 k5 e
end
) @% O& k: \/ q) Z  ]) W! y1 A! |to redistribution
. J6 y3 A: P* Q4 Dlet max-wealth max [wealth] of turtles' D1 h9 ]3 n& v, j4 g3 U% U$ F
let min-wealth min [wealth] of turtles
6 [+ n0 k. t- u; |5 aif (wealth <= max-wealth / 3)& F6 v9 q& j/ X8 b3 ^
[set wealth  wealth + Low-income-protection ]; f3 ?- b- k) H- R% q7 B0 ]6 s
end
$ |& A9 R/ f3 d3 u3 }, f% o( c! ~5 a         
- V3 m" a* a% C0 \. Y! v& Sto recolor-turtles
6 X6 B7 e" o# {0 R2 ]: u  let max-wealth max [wealth] of turtles& U' q8 G, `" h: R2 a0 {
  ask turtles
. F, C5 Q3 S. h  x1 V/ k; ]   [ ifelse (wealth <= max-wealth / 3)( S& S% P# q/ @; p
        [ set color red ]0 z5 m3 u0 R0 m) X3 ~  N+ I
        [ ifelse (wealth <= (max-wealth * 2 / 3))
+ F& I9 g* n, L8 y* {0 @/ G% E            [ set color yellow ]: z9 B5 F' h' V( ^
            [ set color green ] ] ]
" X+ B4 ]) ^$ h8 ^ ask turtles [ifelse show-wealth?: W5 w* |9 a" ~
    [ set label wealth ]
. H% n% Q7 t( c" `    [ set label "" ]]
2 W( t3 Q8 }1 b! Kend1 y2 K4 j5 g) z* h
& Q0 N! K9 T! [. j
to go1 s  q* \. `2 @% o/ T- [
  ask turtles7 Q* O* }: X7 [% U0 a; C$ ^. m
    [ turn-towards-grain ]  # d7 O  K: l9 }& M+ U; |, D+ ~4 n* a
  harvest
- n7 }* U- T1 ~$ e  ask turtles
6 v4 v5 E( ^1 `, x; n    [ move-eat-age-die ]
- T0 G. S0 H7 S" ?/ y  p) i  recolor-turtles3 n6 ]( t8 H& N+ [  r5 \
  if ticks mod grain-growth-interval = 0
& d( C, ], h' V( a0 N" L7 y  W    [ ask patches [ grow-grain ] ]
9 L2 a% w5 x; g0 H# M+ Z2 B5 d: i   . d# R$ s9 F$ P) j
  if ticks mod 11 = 0
+ i) @3 O6 z9 o* s+ v0 O  [ask turtles, H, C  ^9 H" V' R7 K5 O5 y2 q, h
  [ redistribution ]]
) ~6 H7 H6 W1 _8 l3 p' j, Y  if ticks mod 5 = 0
% b2 e" e3 X+ L+ k, y1 X" y   [ask turtles8 y- }5 Z- {; w; Y: n
  [ visions ]]5 x# b: Y3 Z4 O$ W
  tick
; n. M# X: B; ?' Y2 I  update-plots
9 u: u$ E+ N2 z4 ~end0 k6 B# c4 }$ x4 x1 U, b
to visions
- ?/ y$ D% d/ W: a' |1 { set vision vision + 1 6 r' h! _; T, n8 L( g! |  \
end
; B  }9 ]9 N8 ], e3 C- s
) t5 \* L& R; A. d8 e7 x
- j& l: r" K3 k
1 H0 W8 i% e3 V+ D  ato turn-towards-grain  
! F- [1 d! R# ^! o$ |) P0 b% L  set heading 01 w) A) h( H; G; S" b
  let best-direction 0! y% A3 g) O+ k/ c1 t- j! j
  let best-amount grain-ahead8 T, y* Q: e! v# K7 Q
  set heading 90/ f; M4 d# r) k# K5 c% G
  if (grain-ahead > best-amount)
9 {, f% A) h& e2 X    [ set best-direction 90
# Z' s7 _% }3 y& T- {5 G7 b      set best-amount grain-ahead ]
* a( z$ ]; S& `  set heading 1806 `, }8 F' R2 h5 Z% {
  if (grain-ahead > best-amount), ]2 l1 `- F) ]2 E* `) c
    [ set best-direction 180
- U9 P# X7 I# z7 [: E( W' [/ T7 y      set best-amount grain-ahead ]
4 w0 ^* H* h. e  set heading 270
4 B5 A) D# C. k' S& S  if (grain-ahead > best-amount)
9 [# f- L7 }$ ~) W5 o* P9 @2 {    [ set best-direction 270
* E6 l  ~. {$ g( s      set best-amount grain-ahead ]9 ]1 d7 z6 `. L" b1 d( l$ j: J
  set heading best-direction* ~, a8 a% D  J+ V
end9 h5 x( [) y* M5 }

1 Y: L, O- a" o9 D3 Z# a8 @: O9 Y! x: T  A( I, V& [8 K
to-report grain-ahead  
' j% _( {6 f" D$ h  let total 0
* ^& K5 Z4 q% ^; T* u  let how-far 1% h# [  O+ d) K8 P; W) M
  repeat vision
! C2 c- w3 |- c' p+ M$ f    [ set total total + [grain-here] of patch-ahead how-far/ S$ ^  I; }2 Y4 |, Y$ b1 S% n
      set how-far how-far + 1 ]! d3 u$ C, I" ]/ e6 B
  report total! T& ^2 D# @- V) ~+ V, K. y( v2 R
end# Q& B" G( H5 @6 L8 z9 J

5 T. v) z9 Q& D6 G& b' Rto grow-grain
6 m8 k, {0 j. C: W$ M7 Q' _8 Z6 x  if (grain-here < max-grain-here)
. _/ ^. ~2 ]+ ~  t. ~  k# z    [ set grain-here grain-here + num-grain-grown( c$ x, ]$ j2 P* e
      if (grain-here > max-grain-here)
* c, C3 E2 D) m3 U        [ set grain-here max-grain-here ]
$ n! ~4 E+ n5 m* ~0 Z0 V- O      recolor-patch ]
& N7 |$ g8 [: {# Oend+ o% N  o4 {( S3 L' R. r
to harvest# Z$ l# M) C/ y' e1 P+ y
  ask turtles6 t% N! f" C) {) [
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]. W$ W& k! `, g  B$ S0 F/ x
  ask turtles
6 m' N+ y3 `) E0 R* s# E7 H    [ set grain-here 0# u) z+ P0 E5 c( R
      recolor-patch ]
# Q" V, b7 v& E$ `7 Z% C  ' M/ f7 e8 A+ T* d7 [7 z
end3 N& A3 |" u( s4 r  p

6 i* S2 k6 A9 h/ Tto move-eat-age-die  4 a9 N3 e6 M9 ^5 P) e) {3 j4 X
  fd 10 y# h" L: |, \$ l7 U
  set wealth (wealth - metabolism)
' K6 ^: k- z2 p2 I& H  @. e    set age (age + 1)
% J% P6 _, f# M9 ^! Q4 r$ f  if (age >= life-expectancy). o0 b/ l0 s7 R
    [ set-initial-turtle-vars-age ]
. T) k* t- o! F" k0 p  if (wealth < 0)' v* s$ W7 @; i6 q4 A
    [ set-initial-turtle-vars-wealth ]9 s2 k  G* d& T8 m2 \" S! N& u
    . C& K1 Y5 X) N1 I, `
end$ d2 Z  [; ]3 T
& d0 y/ G" C9 E# ?0 N

7 i5 |! {/ w. |, oto setup-plots: ~. C& f' \. S- W$ v
  set-current-plot "Class Plot"8 l- Z5 _! u) ?! B6 E
  set-plot-y-range 0 num-people' A) Y. E' ^! W. A" u; y; L- l( ?
  set-current-plot "Class Histogram"
' {5 C% ?0 [7 i$ R  set-plot-y-range 0 num-people3 K) q6 Q( v4 ?) h
end* k- c4 u5 l5 X' l

7 i5 }: U0 s/ r* u& f. pto update-plots
4 Q9 [! n2 V+ o+ {5 e6 L0 T7 |9 F  update-class-plot& b6 M: k. u* X" v. ~
  update-class-histogram
1 c/ u2 b1 G6 I# D: F  update-lorenz-and-gini-plots8 P1 z7 A! c  T* g3 h& l
end
: m5 C, E* M. b+ V9 z1 t8 X; A$ |9 ^# X4 S4 R. K
to update-class-plot
2 U5 k' e. V. M3 C& [  set-current-plot "Class Plot"
7 N( x4 F6 m( k( ~. P  set-current-plot-pen "low"' s; o4 d$ m2 Z9 c! S7 s
  plot count turtles with [color = red]
" M7 Y+ o, Q5 Z% X, n4 W  set-current-plot-pen "mid"
. p1 Z, h8 }# r% N4 r  plot count turtles with [color = yellow]  Y  s0 C& X: @, r
  set-current-plot-pen "up"! t: y, i9 R2 |/ n
  plot count turtles with [color = green]
2 {4 ~4 R/ A: Dend7 J/ ?5 }) U  r# h* m# P+ ~

3 o8 Q. }+ Q3 `" u! w7 bto update-class-histogram
8 ?) _5 V" m6 I' c7 S/ a" n  set-current-plot "Class Histogram"7 @, F* |  I. Q) _
  plot-pen-reset  T% U2 V; b7 h7 e
  set-plot-pen-color red5 q- Z- m" @8 `5 W8 T
  plot count turtles with [color = red]0 Q6 p8 f$ s, F6 x$ p5 C* h
  set-plot-pen-color yellow
7 g2 `' s$ b, I. |5 l- @  f  plot count turtles with [color = yellow]. W; p- t8 e5 U1 U7 d
  set-plot-pen-color green
0 _  f0 z5 l* O6 k  plot count turtles with [color = green]
% \+ x$ \, T# q3 _0 Q; [0 Cend
' O# X6 C  Z2 x  _9 M" Pto update-lorenz-and-gini-plots. o; |, d6 J% K1 k* ?% D
  set-current-plot "Lorenz Curve"* H; v% g) C3 B/ e
  clear-plot% A1 Y: @$ m- Q; o" j8 w
  U- i0 r  t/ x: h* B+ P
  set-current-plot-pen "equal": w' X7 V) W  {5 V1 u+ ]4 n
  plot 0
4 b# x% D, P: N$ i- |9 @4 b7 v" N6 B  plot 100' W$ O1 `9 ^" z9 l4 t, Z/ J, M
  e* {1 D' o$ j1 Q2 ?. o
  set-current-plot-pen "lorenz"
& a  A' o" ^' L  set-plot-pen-interval 100 / num-people
9 Q4 ?' o0 o5 v* Q- D6 u" z  b  plot 0' E$ T2 I& i' x

6 Q8 O$ H" u' }4 c4 i% `  let sorted-wealths sort [wealth] of turtles) w8 C+ J& Z, s1 ~2 ^
  let total-wealth sum sorted-wealths0 G" o4 D! M# [& ~
  let wealth-sum-so-far 0
- w7 f8 ^5 d  ?8 i2 U  let index 0) F, |7 @4 ^$ |9 L, r  w
  let gini-index-reserve 0
- @, |/ Q) r3 R% c
" m0 l" S* C! R, m" m  repeat num-people [+ Y- U# R3 |. }
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
, R2 J! P+ V/ v  `! }$ H. V    plot (wealth-sum-so-far / total-wealth) * 100
# Y* N7 l, X" J    set index (index + 1)3 v( N' n! H" b% {" Y7 O( W
    set gini-index-reserve
- }4 `& i6 {0 L0 m      gini-index-reserve +1 p8 N1 Y1 d' h$ x& ]+ C' x
      (index / num-people) -
. Z# Z; W+ j* b. K. e: }      (wealth-sum-so-far / total-wealth)
: @6 K" F" t# M+ T7 W  ]
4 s& B& N  ]2 e" ~- k3 o
8 r% b" _) Y0 W; w( V  set-current-plot "Gini-Index v. Time"
! p* K/ `* ]( c5 E; S* P% L  plot (gini-index-reserve / num-people) / area-of-equality-triangle
. h! q2 w' \/ p& O  Wend
/ i0 U: {3 M& bto-report area-of-equality-triangle
4 w6 p' J: X/ ^& k" Q5 |' W  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)( U* [/ u) L8 x9 t( o
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, 2026-1-31 02:45 , Processed in 0.014558 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