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: 7684|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
( u/ I6 U5 \0 y& rglobals8 |  k3 D" V- y- h. m
[4 H8 }) v7 X, Y8 {$ t
  max-grain   
  Z; P8 J  u0 U: |6 \. o1 q* L5 g" d6 f& o( O: L- e9 J, q
]/ |# r2 Q9 B% Y3 {1 e% G: e6 M
: I- e0 `- P% ~0 r% Q2 ], `
patches-own0 I! d! u, F- B& Z! z
[
$ G. }% q, @6 ]5 R) f  I  grain-here      
/ I1 X4 b. r) i# Z7 i  max-grain-here  
# R' w4 X5 |8 m1 z  v9 Q]6 A0 |# w! ~# W

9 p1 D$ p9 {/ F5 j4 e) fturtles-own
0 @' q8 T4 X- z7 G[$ x' [7 x( B  b& ^% J1 l
  age              1 o7 ^/ B% |9 p, H# |3 ?' K4 q
  wealth         : @8 d% S. x& h
  life-expectancy  
6 B) q: }3 a4 p$ d9 m4 ]  metabolism       ' v4 g; f- W2 k$ X7 C
  vision( m3 I& P& Z5 x7 [7 n$ g+ U7 j2 m8 {
  inherited         8 d! k" L% u, j7 k* B( i
]
$ i, B* H+ m' G! C" _& P# {8 [. I( u3 R3 l8 \$ C6 }$ C% j

3 `4 H$ _  _0 N+ N! K4 G3 Jto setup$ P" K+ ?# m4 c- e
  ca  ^  b+ }$ V+ B7 H; H: q
  set max-grain 507 Z! I4 M5 p  c( R
  setup-patches
7 G! m- t% S7 W& F* `  setup-turtles& ~- a' i, t! z2 T' \/ {! N
  setup-plots6 D' m3 j7 U4 ?. r) u
  update-plots3 q$ p4 q( B7 c0 G- F# P6 Y) v
end6 f1 C9 F5 b9 B1 K3 |, J
to setup-patches8 N$ O% W- d) E
  ask patches" w" O- _5 ~' W; i. j, ^
    [ set max-grain-here 0/ @: d& E+ ?3 u  p" s6 \
      if (random-float 100.0) <= percent-best-land2 _/ D' _9 M& w1 ~
        [ set max-grain-here max-grain+ {1 Y5 x$ r0 R9 ^) i
          set grain-here max-grain-here ] ]( H! t1 n/ U+ v: @7 P% |
  repeat 5
( B2 p% s9 C! m; q. m1 Q    [ ask patches with [max-grain-here != 0]- d4 Y- Z7 c) d: P  i9 S* |
        [ set grain-here max-grain-here ]
* q& {% f! R7 I, }8 d4 h      diffuse grain-here 0.5 ]
3 x2 e% N5 v' C8 J+ J" V* K$ y, t  repeat 10; h# l+ s; Z0 ^9 l5 f3 @1 ?
    [ diffuse grain-here 0.5]         
: Y# T+ a5 d3 @- ]$ @  ask patches9 s9 i% d0 ^$ N( t% \1 G
    [ set grain-here floor grain-here    7 Q- ]% N1 P1 U" ~3 _! |
      set max-grain-here grain-here      
! H5 j  v( x$ ]6 |' ]& |8 C$ e/ a( W) X      recolor-patch ]
9 @/ q: y1 e$ o  W1 rend6 t5 P+ L" O  |2 C! A& z
to recolor-patch  
( X7 S% {8 n7 ]# h' V+ _" P3 H  set pcolor scale-color sky grain-here 0 max-grain- r2 _  o9 R4 q5 R" G3 p
end
9 ]; n. K: w" n, G: K  a" M) H4 Pto setup-turtles
: C" ^2 u, }! m  p& ]  set-default-shape turtles "person"5 O" V3 S! ~  |9 u$ f# R# k
  crt num-people
7 [0 J* c( v# V  \2 I% w1 p8 x    [ move-to one-of patches  8 @6 }6 F, _5 T
      set size 1.5  
* s# j: Y- p% U% \  h2 l      set-initial-turtle-vars-age, C, `; d+ H& F6 S; D# H5 V# Y
      set-initial-turtle-vars-wealth# v) B2 @' O4 f7 ]# L
      set age random life-expectancy ]4 N) X6 `- }7 b
  recolor-turtles/ I: B8 D' `/ y( b: }9 r3 u; ^* S0 T: E
end/ ~- D7 l: F3 g& V4 E" p
; M$ |) Y* ?( d$ s2 |
to set-initial-turtle-vars-age
4 x( p0 m/ Y: F" P+ b let max-wealth max [wealth] of turtles
9 U$ F$ v* ?# Y: Z$ u   
0 B# F: N. _' n# V7 a* M' T     ifelse (wealth <= max-wealth / 3)
  I5 q& l* h9 K) B5 A        [ set color red
. I6 A! j( D* s0 m, U' S5 m          set age 0* w, S4 e7 F" ^6 r+ B7 W, j2 _
          face one-of neighbors4 ; X$ y3 q( A' m) k! P( K" z. c# O
          set life-expectancy life-expectancy-min +, o5 ~# l# {  B. j# `  t5 d. G; H1 x1 F
                        random life-expectancy-max
/ T$ x; `8 Q0 p5 v2 v. E          set metabolism random 1 + metabolism-low
& w2 \9 a4 r/ J' `          set wealth metabolism + random 30; g- k" F* R" T) w' e* H# W1 G
          set vision 1 + random max-vision
% t9 h' Q! z- X2 q6 H9 z             set wealth  wealth +  Wealth-inherited-low ]
7 X; _! K. b2 }        [ ifelse (wealth <= (max-wealth * 2 / 3))
5 Q" h* v9 a& g+ y            [ set color yellow
: K. H+ w2 m, b# {$ l; y              set age 0
; g* v; O  f/ [+ C              face one-of neighbors4 $ L* f, O1 c1 `& e) X
              set life-expectancy life-expectancy-min +
1 Y* Z$ O- S- ?9 x/ ]2 K4 G" t( o                        random life-expectancy-max + 1
( m2 m1 s, ?6 R; n# X& g  ]              set metabolism  1 + random metabolism-mid8 I3 q8 f* e6 z- k4 R  H" p" j
              set wealth metabolism + random 30
8 b; L& ]$ ~& `* \  L2 ]2 m              set vision 3 + random max-vision
( f! N4 x' [5 I- s4 I" j: i! {$ H                set wealth  wealth + Wealth-inherited-mid]
% O' B& J* {  m            [ set color green / b1 t0 Q  U1 Y7 W# F  ?
              set age 0
/ {2 p- L* H! J& d              face one-of neighbors4
0 d$ E* \" |$ Z              set life-expectancy life-expectancy-min +
( `0 d! T! e0 o: {% T                        random life-expectancy-max  + 2/ k$ V, A: m8 ^3 ^, z* ~
              set metabolism 2 + random metabolism-up$ R* b4 L# z5 M/ _. V6 _
              set wealth metabolism + random 30
5 @  |6 R7 s) d2 f' C. j8 T              set vision 3 + random max-vision
! a1 v0 g5 b& I0 G              set wealth  wealth + Wealth-inherited-up ] ] - Y, ?9 G$ v% x. A7 F2 S0 ]
0 x8 p5 z* G" c9 ?( J6 p
end; E. ?" }# `  r( p2 ?
to set-initial-turtle-vars-wealth
/ ]* V4 S" }3 {. D% A* l4 _9 _ let max-wealth max [wealth] of turtles
8 ~# H! e( v4 g5 s9 M3 M          set age 0
+ J/ Q) f; D' t          face one-of neighbors4
& }7 Q: f9 @; @, z0 }8 u- ?: k          set life-expectancy life-expectancy-min +& v2 ~  D. e7 N# h: [# }7 ], k
                        random life-expectancy-max
& c; n/ u& D5 ~0 O, c! Y          set metabolism 1 + random metabolism-up
8 y, g2 F; l, O$ |          set wealth metabolism + random 30  J0 H7 t1 e" p$ R. ]. P6 e
          set vision 1 + random max-vision 5 @# c" Q& G, a
end
2 f. C7 ~: d  e; A4 d# [1 V( Rto redistribution
0 V- S- f' E- o: F( z0 J- ]let max-wealth max [wealth] of turtles- q) `1 U1 o7 M- o8 R% S
let min-wealth min [wealth] of turtles
9 X5 ^6 Y1 u/ V& eif (wealth <= max-wealth / 3). |# {# w3 u0 H7 V. S% c
[set wealth  wealth + Low-income-protection ]  {1 C5 u* H' j3 n, O' k  i
end
1 d4 R" X  g9 x: a. J7 `, ^4 z          " n) R  V5 F5 S* u" W/ z
to recolor-turtles( e, M, [4 Z( B* C; q* k* v
  let max-wealth max [wealth] of turtles
7 }  Q5 ~5 o& T9 j$ B3 i; I  ask turtles
  W$ w; A; @( b+ f  V7 x9 [   [ ifelse (wealth <= max-wealth / 3)
0 d) l7 M/ S! u+ c. f% o        [ set color red ]
+ A, }! x$ ?- Z8 c( W  ]9 M: U" C        [ ifelse (wealth <= (max-wealth * 2 / 3))
, i0 k+ a. Q: n& y$ N4 N5 i; P            [ set color yellow ]' {( L5 F3 c0 T7 {
            [ set color green ] ] ]) @2 W0 r# W; }# [7 K
ask turtles [ifelse show-wealth?
7 m+ F6 j+ m) ?& O! `    [ set label wealth ]3 J7 ?$ ^2 `  h" i! [  g7 s" x
    [ set label "" ]]5 N: c3 E' o. C8 T6 m
end
* j8 p5 C. a4 R+ I6 g1 h: h, l4 G: U/ i/ s
to go0 p! ~( M) d$ I8 d* }( x; u7 i3 I
  ask turtles
" e* D# ~( _) E5 F! e& F    [ turn-towards-grain ]  . R0 B, ^0 ~: p$ e: @
  harvest
* _* }6 }9 l2 ?" f+ F. S  ask turtles) x) z% m0 T5 _5 g9 M1 F
    [ move-eat-age-die ]1 w0 ]1 h. h" f" B2 n& G* b
  recolor-turtles
* j1 x, k( Z3 s$ q0 r+ N4 y8 Z# q  if ticks mod grain-growth-interval = 0
6 a$ ?3 j8 w4 a2 S  F    [ ask patches [ grow-grain ] ]
. z8 L( L$ z9 J- K# I1 z. B   % d& s8 F0 e2 D) a/ v
  if ticks mod 11 = 04 T5 `% @; j$ Q( C+ D4 U
  [ask turtles1 q+ y( }- P: L! [
  [ redistribution ]]2 r! a) c- ^6 P0 T
  if ticks mod 5 = 0
% }9 D. }! X" ]# N$ }, W& s   [ask turtles0 i: g- U/ Q1 V2 v* M8 ^9 l3 P
  [ visions ]]. K& C+ s& _) G$ P/ N# K( }
  tick! G5 t, ]% a$ k3 @  t0 [8 `. y( r
  update-plots
% l6 y* Q& L  c: F; gend: ?4 l. D) \' l& d% q' s
to visions
$ m( N7 u0 M- B# w2 I* b set vision vision + 1 ( p# n* q. _! j- z- C5 [1 X
end
1 w+ P- p; }1 p* X7 J
7 L; V# a- L, C, ^9 q/ [: z. W
# x' p* Q% q; C0 R. L0 w
: P$ S% A4 L/ ~+ ~' Z4 U8 l% J" Hto turn-towards-grain  
3 m0 n; y) C/ }& G& @" W  Q  set heading 0
! |, {2 N% U4 @8 r. w  let best-direction 0
- q6 ^/ L; j8 C( }4 }0 l  let best-amount grain-ahead# H1 n* x6 d- c# o+ n8 y% q: U
  set heading 90
6 G! ~. L. v  G. l' o  if (grain-ahead > best-amount)
; E& v2 {- X& u3 u+ Z- ]! s4 D    [ set best-direction 90
9 Z6 S  K/ O" G( {! S- `* d      set best-amount grain-ahead ]4 m3 A+ s3 v& |3 @( ?( Z
  set heading 180& o3 D+ Q$ ?+ C9 j) T, j! ^8 C
  if (grain-ahead > best-amount)
( f: n5 a# v5 m3 e% W* x7 d; n    [ set best-direction 180( b4 A1 s9 q0 Y  E
      set best-amount grain-ahead ]& k& t$ s6 g- w! j* W9 y
  set heading 2703 A, d$ a! r7 ]2 t) |2 j
  if (grain-ahead > best-amount)
( t+ k: k0 ]+ l9 B: H    [ set best-direction 270
& P* H+ \: Q; {8 J      set best-amount grain-ahead ]
9 @/ _9 p2 H! t6 C  set heading best-direction
# q6 A- g& U* n/ S! y1 i3 F/ c. Fend
+ F5 K$ d* v0 M, ?* O+ V
& l3 m1 U& _9 r6 ?8 Z, H# q& {7 K8 u
1 B( {2 r' o" w  w1 E4 B  h% m3 t* nto-report grain-ahead  
2 {, {$ i/ o% U, ~8 B5 w8 I  let total 0; p( W/ f3 z; B2 a) W$ {
  let how-far 1
2 l/ ?; G9 e( W- K, C  repeat vision0 h' Z( _: F+ a0 P' ]5 h
    [ set total total + [grain-here] of patch-ahead how-far8 {3 R( O6 h& S) f" }
      set how-far how-far + 1 ]
4 |- `- n( {+ t  report total
1 _  z2 L+ i. u1 lend
; ]; O' u& A2 c- K7 w! N
6 N4 {9 e: u9 D: Nto grow-grain , g: t$ c5 u4 t9 Z( m
  if (grain-here < max-grain-here)
9 {) y6 R/ i/ B) }    [ set grain-here grain-here + num-grain-grown
0 J6 Y9 D7 k: ~  g      if (grain-here > max-grain-here) 7 W+ {4 i& W2 o+ l; O# ]
        [ set grain-here max-grain-here ]  f6 K) ^! J% V+ X4 [/ T
      recolor-patch ]3 w. `! c5 \1 P' v) _
end4 P# {7 G' y. s( H0 Q; H- \5 c  w
to harvest
: z& N4 x6 p0 W! w, b% L) H  ask turtles9 q6 N2 e8 N( D, _# R% ]8 ~
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]4 B1 \( h8 T- G/ q" n9 }
  ask turtles/ S% p0 L- C8 K: }3 g6 O4 ]
    [ set grain-here 0
  @( \8 Y/ o' G2 M; d      recolor-patch ]
8 _: @( d4 S, F# d& f  
' Z2 @8 y8 _. y" \3 F# e$ @end
$ F; X4 f0 }+ Z( M
6 a- q7 x; D! u7 bto move-eat-age-die  7 S3 M4 H+ x$ c3 q
  fd 1
$ ^0 ~8 m' n5 f, p0 ?+ j  set wealth (wealth - metabolism)& y5 m( U! U# `
    set age (age + 1)
" h0 f% d. v' K4 H- y/ d- W. J0 v  if (age >= life-expectancy)0 N& i& u% m/ l/ R
    [ set-initial-turtle-vars-age ]
4 g) k+ d0 T) ]6 @9 D: {  if (wealth < 0)1 _9 P% g- A. N) R* h1 A7 x+ x
    [ set-initial-turtle-vars-wealth ]3 U$ e0 @- t. o7 {; m; v
    1 g; M5 Y# e+ M1 i  X2 t0 g) x7 y
end, j0 c* }. r. E) f8 X% g
4 X/ `3 v1 ?+ W; v/ [- m5 }
7 T! L4 b8 F' s# `2 ~
to setup-plots( _& K  {- \- A( S0 [2 [4 p1 }/ x6 @
  set-current-plot "Class Plot"; \5 y  V9 p5 z
  set-plot-y-range 0 num-people: a8 _  N+ S! z( Y" s) }5 o' ]
  set-current-plot "Class Histogram"
2 O8 M% o: U) h  j& X2 j) D( R8 q  set-plot-y-range 0 num-people
* v2 F5 ]' V! W! eend
  P0 d3 g: O, a  `( e
3 A7 K% z7 Y' {% [3 Qto update-plots
3 j% I7 @; P% v9 ?. C. T6 L3 H  update-class-plot; }9 n. V" \; ?6 _" h2 I& |3 y* h
  update-class-histogram; f1 x- C: J7 d" r, }5 p5 A
  update-lorenz-and-gini-plots6 o' z4 z8 U; `3 T( J
end6 u3 t# w0 Q/ j
- `  d' c1 o; g5 Q
to update-class-plot5 I5 d* u. c" c8 f5 y
  set-current-plot "Class Plot"
/ N0 W! i( [1 w9 N. W8 s$ u  set-current-plot-pen "low") K/ T; l$ W- U% P
  plot count turtles with [color = red]
+ Z& c; w7 Y: H4 n! J( q" f  set-current-plot-pen "mid"6 e( x! Y! I" N7 w! x
  plot count turtles with [color = yellow]
. V1 M9 b* m+ }1 Y  set-current-plot-pen "up"6 l! \" q) {: _6 X1 m. \0 s
  plot count turtles with [color = green]  ~" Q( I5 \$ K
end
1 ~4 f  L0 Y1 d" v. g
& g5 ]( F& S$ u& g6 G6 ^' @to update-class-histogram2 ~% b5 Y1 e) m+ p" Q! I8 A
  set-current-plot "Class Histogram"
$ g3 s+ V. J3 ^% V7 o  plot-pen-reset* n% O9 Y. d! }% S1 x( Z4 g- N
  set-plot-pen-color red
* G% F6 Z5 w6 H; X; {. C  plot count turtles with [color = red]
! T+ u3 l! g, k. O3 l' e  set-plot-pen-color yellow
' o* ?" x/ [2 h1 O5 S  plot count turtles with [color = yellow]( v' W2 d2 w/ I8 j4 c
  set-plot-pen-color green
( A. h! N7 ?$ k- H. m! {  plot count turtles with [color = green]4 Q( [% Z# b- H4 [# e6 a' z9 h5 |3 f
end. }# c& F( U+ U
to update-lorenz-and-gini-plots% I: w$ b1 S. n, M5 g
  set-current-plot "Lorenz Curve"& l5 ?) F" Z, T* X) i& y9 k
  clear-plot
; U) v* |# ]1 Q2 D* A; U2 ?2 |" W, |7 ]& z2 T
  set-current-plot-pen "equal"
3 P. q8 {1 N" ^" ~) S  plot 0" D7 h& `4 o$ I4 X4 S+ d% q
  plot 100& p( p2 N9 ?' B3 G# [

( S% G9 H# Z  t. C( M: J  set-current-plot-pen "lorenz"
, `' D( z' P% G  set-plot-pen-interval 100 / num-people0 {9 `" H7 n( j/ v
  plot 0
8 Z7 w& k; @0 y! I, G$ F- ^% M1 P9 u& F- O
  let sorted-wealths sort [wealth] of turtles- l$ w' L4 ^& i" d3 Z# J% ?
  let total-wealth sum sorted-wealths
6 Z; k" H+ Z) }) ~( B7 q4 a+ d3 U  let wealth-sum-so-far 0
' L6 @3 V& x, a$ _* O  let index 09 n' y0 ~, R6 @; m3 E# L7 A
  let gini-index-reserve 0
- O! Z1 J  R* l" M& a
( u" K  F6 n% ~3 _+ A0 e  repeat num-people [" q7 k* W% b& s8 }
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths): z8 [# S+ Q7 }9 j# W/ R
    plot (wealth-sum-so-far / total-wealth) * 100
5 ~# S+ Z' M0 ]6 z) @+ ?$ i    set index (index + 1)/ N, e9 K4 z% D; G9 s
    set gini-index-reserve
" a3 H1 B$ ^+ `! O      gini-index-reserve +$ O5 W# \! ?/ _/ l( ^8 y( l+ I
      (index / num-people) -
, u4 U% \  N- h) x% B      (wealth-sum-so-far / total-wealth)- ^3 L7 |3 N/ ~$ l7 O7 [
  ]
$ x( r4 T; n, [) o- u) T) R- k4 j0 Y5 f5 P8 }% O( D. P4 f
  set-current-plot "Gini-Index v. Time"
" h- q6 }: B9 k, c# z' ?5 i  plot (gini-index-reserve / num-people) / area-of-equality-triangle2 d3 v' A8 c7 ^0 ]; j% D) \" n4 W
end
6 b! v/ Q: D: t# _. {% C- uto-report area-of-equality-triangle# o6 a2 t) h* f
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
9 l: M# f& B  k/ _: u& g% T0 gend
 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, 2026-3-5 12:50 , Processed in 0.021110 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