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: 8322|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: e% H3 F3 Y# K& I' i+ V" E
globals
4 u; m4 \4 o( i* `, R4 j[
$ h0 A, ^, Z$ {4 h/ T  max-grain   
8 [! P# M- \0 b3 D" ]+ g6 ~+ f9 ?; C; ]1 z. m5 U* c& W
]; r- y/ R8 z0 H; b9 d# c& @

! H4 U8 s: J3 W3 h2 @; I  d. I% @! npatches-own* g& L' r% l  u  T; p( E; g
[
/ g# R( \3 Q7 Y" G. S2 K! J: C  grain-here      
! k. |8 m& [, v9 d! D  max-grain-here  & E9 V8 c9 z6 g6 u
]/ |* N$ S* d0 v1 r3 s* ~

+ V4 F  X0 t, {5 w1 yturtles-own# y& ~/ v: I2 z& t
[
% C- z1 y, K7 q% z% p1 e5 m- ~  age              
& ]4 F/ u2 g7 L& w+ P  wealth         
# @1 h' K& ^% o' Y* f/ Z" t6 l  life-expectancy  3 R3 ~. x/ p" {# O
  metabolism       * Z3 B4 S. e8 f: U4 B+ b( B
  vision
6 Y/ }* T, ~9 i" p  inherited         
- B0 Y- |+ W( l  []
5 j/ e0 k; L' z6 S; T. ?* m6 ?& S% @. Z( L7 V  W  q( ^9 c6 P6 h

+ I$ U0 x7 c0 l1 Zto setup
3 w: y6 V  o! \& ^/ s9 a  ca/ q+ u. F3 `5 o
  set max-grain 50
" U% S, ~' q. b4 \1 P, z& o  setup-patches
7 v6 r3 H$ e5 R  F1 S  setup-turtles5 h! P6 O, h$ s( K8 P8 w. O- B3 o
  setup-plots3 [4 C; W% L# g- i: H
  update-plots
; K% d& Y$ F# D6 k- D0 Gend
4 ^6 d, b, ]7 B/ A3 Cto setup-patches
- D- c: i* Q7 w: w$ u, A  ask patches
8 ]1 [$ T5 Y* _) U& n( R. F    [ set max-grain-here 0
8 k9 D3 G, {) m7 Y1 [% @9 H" S      if (random-float 100.0) <= percent-best-land/ _, j) \8 _9 e7 p9 x- a" V0 V0 v
        [ set max-grain-here max-grain6 R& p3 `$ i$ G7 c
          set grain-here max-grain-here ] ]2 Q, J/ y2 t6 Q8 H3 y
  repeat 5
& @6 Z. m  b: g( L5 a2 w; ]    [ ask patches with [max-grain-here != 0]
0 K) t( |2 z' O/ \4 C( \        [ set grain-here max-grain-here ]) N! I& I' T/ o' T& E& R* }$ M
      diffuse grain-here 0.5 ]: N* I' c7 Q& m6 J, \1 W0 ?
  repeat 10
- A3 ^' Y7 k, a0 f% q4 y  N    [ diffuse grain-here 0.5]         
  w# z0 K; |& Y% C  ask patches
3 }1 m: h  i2 m$ p    [ set grain-here floor grain-here    . B, I, E0 x- H0 y8 D; [4 o# C
      set max-grain-here grain-here      
+ C$ x/ S" }; I$ g) F/ W      recolor-patch ]" z: K. O  U; N, z8 m
end' Y2 _6 r4 f- q4 b6 M
to recolor-patch  , C8 N) Y' X- }! J" g
  set pcolor scale-color sky grain-here 0 max-grain% n: k0 e8 @5 O3 a8 D6 A. h; b
end
. F8 j. U  F7 n+ C' \( ^1 N) x+ Eto setup-turtles
* S1 m; D/ j( b- m' s" c) {2 p  h2 Y  set-default-shape turtles "person"
( n- }! B/ ~/ s7 S9 J  crt num-people  }0 v0 A7 @/ t9 E
    [ move-to one-of patches  , e' V. b  l2 T$ x# Z9 h4 H$ Z
      set size 1.5    r, n- A% r+ |9 C
      set-initial-turtle-vars-age; B1 `/ T+ Y9 \) \2 `9 T! K# l9 F$ s
      set-initial-turtle-vars-wealth+ H) @, J! _; v. i
      set age random life-expectancy ]
- A. ^# M( @+ Z1 w, O  recolor-turtles
+ d+ a) s8 I8 C+ h! eend' s2 P+ V! O2 @1 [0 I
% o) l5 X% Q" i9 V( @  p  e
to set-initial-turtle-vars-age3 H! g0 {' d4 X: `- v9 {" e' u
let max-wealth max [wealth] of turtles
6 i& r, `+ j' [: |' l  h! A, X' c    4 Y* A: d0 X* g5 u- ]1 @
     ifelse (wealth <= max-wealth / 3)
2 `0 X; Q1 k- W& L# w) J/ R        [ set color red ! J6 \5 j, e: @" T) ?$ c4 B8 [5 L+ J  n
          set age 0
  @' C( ?4 E3 b  ?1 F) D9 s          face one-of neighbors4 % J. {/ |6 }+ g- a2 m
          set life-expectancy life-expectancy-min +
2 P# E$ l. E5 F0 R- o3 C; b                        random life-expectancy-max # q" Q- M1 O  Q' U0 v* G, @
          set metabolism random 1 + metabolism-low( q1 V' p& q( g- ?" o
          set wealth metabolism + random 302 h# @, W% s+ w* j" R
          set vision 1 + random max-vision  u+ A3 t) b" A' E- `6 z0 u
             set wealth  wealth +  Wealth-inherited-low ]
* j, C4 v3 A; j. A        [ ifelse (wealth <= (max-wealth * 2 / 3))
+ x# T! J9 z6 q8 l            [ set color yellow % P6 e4 Z# f& p- v0 @) c$ X" C: u
              set age 0
1 t" P7 w# s0 u              face one-of neighbors4
( t7 n' P: s/ ~' v              set life-expectancy life-expectancy-min +
1 c$ A1 [% \3 ]" @5 j                        random life-expectancy-max + 1
4 |* B' R& d" z6 r2 y0 O              set metabolism  1 + random metabolism-mid7 Y! x" w: L1 V
              set wealth metabolism + random 30! |0 |" Q' x8 `+ ^! q+ A, @) @
              set vision 3 + random max-vision
9 Y" a( l3 |% X; F" O/ c; R% Y                set wealth  wealth + Wealth-inherited-mid]
" t; o6 K7 [. S" o1 ?            [ set color green & @9 e9 i$ m# s" M  O- B  }+ z
              set age 02 S  G+ A' F4 S$ ?, W, A% ]9 z4 _
              face one-of neighbors4
8 |& h) J3 \! x) m/ y- Y              set life-expectancy life-expectancy-min +
; ~5 B( \; H1 s/ y( k  I, L                        random life-expectancy-max  + 2
! k; q' f& V' t+ N; @. G% p0 ]              set metabolism 2 + random metabolism-up
/ `% Z( U$ {7 @6 S$ Q  [5 n, C! n( i              set wealth metabolism + random 30( @2 Q4 e* f' L; ^
              set vision 3 + random max-vision7 a1 H5 k8 @) ]3 i5 f
              set wealth  wealth + Wealth-inherited-up ] ]
1 u' [( R; N1 J: P$ `( Z3 E 1 I& |1 V: W7 M+ e$ B4 H
end
& Z' P6 J) w5 w) @2 A9 Dto set-initial-turtle-vars-wealth; a- R) W* Y0 }+ D4 M
let max-wealth max [wealth] of turtles0 m3 y4 q- \  ^& O) M
          set age 0
. [$ v" N; ]7 _          face one-of neighbors4 + s( a: B. l- g- Z7 M! E5 r
          set life-expectancy life-expectancy-min +
8 F3 Y' e+ E) \$ v1 M                        random life-expectancy-max
) L; |% h! ?4 e) _- U          set metabolism 1 + random metabolism-up
7 c3 g* i# T' t. |          set wealth metabolism + random 306 F8 |$ v- N  a7 H9 C7 C  Y1 M
          set vision 1 + random max-vision
7 d" C, K! R/ d& z# ]8 R: v3 J$ C) wend
) r! @6 G+ u9 T, _: f& vto redistribution+ \8 h- w* a& n# ~' E! J! F: S
let max-wealth max [wealth] of turtles
) g% K9 ?, U' l% V/ P- Vlet min-wealth min [wealth] of turtles0 X- A/ D/ t& U8 Q. ?
if (wealth <= max-wealth / 3)
# E  Z5 ~( {1 H5 t) C [set wealth  wealth + Low-income-protection ]
6 v. F" f5 l( W8 \$ D. l1 h& tend# L& a# P/ W3 g5 N4 d8 `. f
         
/ E! x" c% J0 j6 E/ I1 ?  X6 W; [% ~to recolor-turtles
3 P1 p- W0 H% ^3 [- P  let max-wealth max [wealth] of turtles
' q6 q" x2 ]. X  ask turtles; n6 z7 L; o; J! t
   [ ifelse (wealth <= max-wealth / 3)
/ ^9 g& n5 b6 J2 ?7 n- V        [ set color red ]
8 T' s* H5 n+ T8 G        [ ifelse (wealth <= (max-wealth * 2 / 3))" \1 W& f( Y5 G' ~! i, t: W6 }
            [ set color yellow ]
" w6 l) t( t1 x& _* b) h            [ set color green ] ] ]
- r% _9 `. Q* Q, h+ I: P ask turtles [ifelse show-wealth?$ X" O/ z0 I! Y" \# a
    [ set label wealth ]
& c% \5 `3 \6 s) w& Z4 _    [ set label "" ]]
* E9 `/ {3 _: H) {3 W6 `; Bend4 }7 K  b- G6 E7 t2 T# [

6 ?) W$ R5 y/ E) Cto go
/ Q' A* ?3 ^8 b; u+ c  ask turtles
. F& `/ y( ^4 w! _    [ turn-towards-grain ]  % K: i% Z5 i7 \& w% c, o
  harvest
% P% }2 @/ b9 z' |/ x& X  ask turtles
- F+ \" n# _. U    [ move-eat-age-die ]
0 i( J1 ]' R1 x  recolor-turtles
9 u- m- b4 I3 Z" J) l8 n  if ticks mod grain-growth-interval = 0! {2 Y6 N: R; r2 ~$ f
    [ ask patches [ grow-grain ] ]& p) s( Y( ~; \
   ' C- G+ Z) s" q
  if ticks mod 11 = 0
- w. n% ~) h5 `; ~/ Y+ d- L  [ask turtles7 j' X% K9 K/ J; p& [
  [ redistribution ]]( k& e9 U4 r' M, Z: I2 y0 f3 T) ?/ P* _2 Z
  if ticks mod 5 = 0) ]. }; m/ V- m( ?# L) f  _
   [ask turtles! ~3 [6 O" j6 r2 Q' D/ O, T
  [ visions ]]
- j; O; O# v! C& T5 a; \  m( [  tick; S8 {( E& T& e% d+ t# I
  update-plots+ j- Q3 N* ^# V! V, q
end
* P8 H- m) _/ P6 H0 s. Hto visions" v. [# a4 ~9 r# O  V7 x% o5 \
set vision vision + 1
3 J( o, f7 k' c( t& Eend
9 B. ?2 R4 e  d8 z$ V7 b2 i# D6 P# f" M5 {

# T+ c' Q2 I: a# X( R0 }
  z' m( w7 Q: E  f1 B3 w& tto turn-towards-grain  
6 h5 G! a8 z( }6 Y3 J& l2 p/ n# h+ i) O% ?  set heading 0
5 g3 C3 Z8 G, f9 f9 |* p# x. a  let best-direction 0
- Q6 S6 T* C; }* L  ^" p4 N  {  let best-amount grain-ahead
( g: W) ~$ O8 ], d: N3 \  set heading 90% ^9 R1 b- @6 ~# o
  if (grain-ahead > best-amount)
; _' l! D. Q* J9 ^% e    [ set best-direction 90
' q6 m2 V% v0 j# h5 c      set best-amount grain-ahead ]
7 b8 U1 W  }. l/ d) b9 h& h  set heading 1801 C( q& L7 @5 Q1 H! \
  if (grain-ahead > best-amount)0 r. K6 d1 k* b3 |7 H
    [ set best-direction 180! u+ X; c3 H2 X5 m* e5 N4 n
      set best-amount grain-ahead ]
) w3 c+ p" T' e  set heading 2704 @. |3 P9 c9 g. @8 Z
  if (grain-ahead > best-amount)
3 i/ E: J- y5 k' T    [ set best-direction 270
. h9 f4 ~+ |$ p( n! ^5 P0 r      set best-amount grain-ahead ]
& h! m& Z- x( n: _& N  a  set heading best-direction
3 {* U6 i$ Z4 {9 A" Vend! R- G. d! Q) P3 {- Q. {

1 V1 }: T: t& ?; e: R- }8 B' B1 B3 C
to-report grain-ahead  % B: P" P% f" V+ v* z9 P0 C5 g
  let total 0
1 S, \$ N2 m7 q5 A8 Z# z' l  let how-far 1
% e0 y  i2 h  m" z% r4 K  repeat vision6 p# ]9 A. `" i  m0 P: X% m" o
    [ set total total + [grain-here] of patch-ahead how-far" r$ ^! `+ }$ n5 p% L$ P
      set how-far how-far + 1 ]
/ n; W* m+ W- U7 g! z; v  report total9 `7 O! f+ k& j- _  r4 }+ n& g
end
: c# G' _3 D& |
; g! A" m# W# z, `to grow-grain
8 {" \9 R8 G& I5 j0 y% M3 F8 x  if (grain-here < max-grain-here)# l/ Z; O! \, x. M0 N+ w7 E
    [ set grain-here grain-here + num-grain-grown9 F8 n2 W2 L6 o: B) T+ ]
      if (grain-here > max-grain-here)
5 [. l6 c. y4 {+ H  H% ?7 h        [ set grain-here max-grain-here ]
5 t6 o3 Y/ p2 j5 {9 s# z      recolor-patch ]+ i4 u4 I: P0 V& E
end
7 r$ [1 W: W. L- W4 dto harvest
2 h9 X7 ~7 @3 D* j/ E  ask turtles
  y. _1 d" z* v+ T    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]+ S& Z! r; o, n
  ask turtles# y+ z9 @% m0 E! _$ L" w6 q
    [ set grain-here 0
# Z8 j1 z' H" P( B2 q      recolor-patch ]8 }, A5 N3 H8 n, r
  
: O8 \. V$ X8 N& o( }end
8 y' \# M- U5 J) I( e0 E4 K+ ], s
9 c  d" q$ u. \2 j1 X$ Nto move-eat-age-die  + t* {: C- l- a0 P5 O# }8 o9 z0 O
  fd 1# N, i4 j0 e  Q' ]
  set wealth (wealth - metabolism)2 o. e# y& j" {8 `& v9 R
    set age (age + 1)5 r3 H! D" N2 N( G
  if (age >= life-expectancy); c5 r$ M1 D8 l: ~
    [ set-initial-turtle-vars-age ]
, }8 s9 e9 B. ?  if (wealth < 0)  X5 r! F. l$ ?9 U- }
    [ set-initial-turtle-vars-wealth ]1 `" h$ ^8 Y, n9 i; V; w3 t
   
6 C. C+ t0 ?4 |! ], ?( pend
9 V( {: F; `" e/ p0 X8 P9 w! J
3 j% [1 [1 L. p% c# k( d. r1 Y2 @* ?
to setup-plots  g; M( M0 n/ n9 @
  set-current-plot "Class Plot"
( r1 U: u2 \5 H- x8 a  set-plot-y-range 0 num-people
( C0 V: O$ R8 x- T- n  set-current-plot "Class Histogram"
6 V6 R) V- g( E  set-plot-y-range 0 num-people9 {, }! G2 A5 g+ P
end* n/ u- ^9 K/ Y  z1 }( O/ q

* c9 q- e. I, V! f  tto update-plots
0 c6 W" [! R$ ^( Y9 |. j  update-class-plot% }' x) C( M7 W) M7 Q$ T1 q3 G
  update-class-histogram
9 e! K( W) t$ z7 }, a/ l2 S  update-lorenz-and-gini-plots3 Y- r- P" G5 S$ q+ p' D7 }
end2 L+ @! }$ M8 @% m( V/ n
7 |. n% T, ], [! ~$ n) l
to update-class-plot7 h, @0 x' y. E0 G+ B$ C
  set-current-plot "Class Plot"5 b. N+ X* c# \+ T2 y: D. a
  set-current-plot-pen "low"0 Q2 J. h0 Q( r- v
  plot count turtles with [color = red]9 r7 X% P0 F2 V% Y+ Z" @' g- I$ k
  set-current-plot-pen "mid". y- z9 z) Y) n
  plot count turtles with [color = yellow]6 D2 V) w; ^, |# ~/ K
  set-current-plot-pen "up"8 H) x; Q4 S' _- A6 t
  plot count turtles with [color = green]$ @) ^' n7 @1 q5 c, \# ]! S
end
  a1 _* u5 V! ~8 I/ h2 e! _* l  r7 x/ F2 ?
to update-class-histogram
5 s5 Z/ l7 Y( O. t  set-current-plot "Class Histogram"
" Q; n5 Q) `# j/ Z/ @$ ^  plot-pen-reset+ n& P5 x( M) ^% I/ b# I6 j
  set-plot-pen-color red& W1 B8 L9 B: h) s5 `8 F
  plot count turtles with [color = red]2 _1 t. Z+ w# e9 U, F) c, {% o
  set-plot-pen-color yellow% V* P0 f+ M% c8 |- x
  plot count turtles with [color = yellow]' z* R- s1 F/ I2 P  ~7 f8 \. a
  set-plot-pen-color green
* }1 B( A8 T2 K2 Y" c  g  plot count turtles with [color = green]
7 E9 @; m4 V8 {. z; Z1 Hend
. \9 N6 k- W" \to update-lorenz-and-gini-plots
! y  V2 {# [/ D. e% P8 h  set-current-plot "Lorenz Curve"
+ |* k+ Y6 I7 B; A8 ^- l5 {1 K! o! @  clear-plot
4 H' Z8 T! T( ]/ K. Q7 Y- n$ A9 s( R6 D3 s/ K( \0 L
  set-current-plot-pen "equal", l2 m( f* S1 e- v1 h* b6 C
  plot 0. b: X9 o. S1 K
  plot 100: Y% j5 k, {* N3 z6 z& F# g) t. E
8 x6 P& E5 S% M# h7 N/ |
  set-current-plot-pen "lorenz"0 j7 H0 Y0 F# ]  E3 j
  set-plot-pen-interval 100 / num-people. b' R. [6 z3 j% |
  plot 03 C5 @- {  A, E) M  N
" V, h, a" A" w! Z, t" ~+ O
  let sorted-wealths sort [wealth] of turtles
4 [% o% j% j: v2 \2 _  let total-wealth sum sorted-wealths8 N/ s9 n0 v- j/ z1 q
  let wealth-sum-so-far 08 `0 ~8 x, Z8 H5 `0 T
  let index 0
- P/ Q: A8 }6 a2 I  let gini-index-reserve 0- ?& R- |3 Z' j; n4 v  U
1 {: m0 z5 I4 y( a, c  z
  repeat num-people [. R+ T! N: Q$ i- ~* q
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)5 ^1 p. C- ~. Z, `; Q1 Z, N
    plot (wealth-sum-so-far / total-wealth) * 100
* A& n7 C3 `% q5 k0 c9 r6 _9 c    set index (index + 1)3 H% |: x  d; f( B* {, o
    set gini-index-reserve
+ w$ l/ g8 J& S% b7 a3 `$ m# Q      gini-index-reserve +
3 H1 L" I+ A. P! Q" \3 d) I      (index / num-people) -
; l0 w8 {& I/ d2 Q1 ]' G6 S# r  N      (wealth-sum-so-far / total-wealth)
! R1 A. q. H/ u. v  ]8 l! s3 X4 X; ?' L' U+ S0 T1 V

  ~1 ]  o6 y5 B4 G( V+ A, I  set-current-plot "Gini-Index v. Time"+ c- S6 G/ u' J
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
9 C3 x2 i! V; r" A- A9 `9 f# fend* Z, m2 X7 r1 [
to-report area-of-equality-triangle
* S  c$ @( ^6 n' C  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
) o! e+ y9 L9 ]$ e- ]. y/ ?* }2 Xend
 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, 2026-6-30 06:19 , Processed in 0.014381 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