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: 7650|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( j9 Q' w& O1 r: o# u# _5 l  A* y* o
globals
  g! q  v; V& ]* h! m' B7 |[
; m: L  F& }: n* U  max-grain    % `% U7 e/ [# b$ ~4 D4 }

9 }, U7 \& `* X- a]
- _2 d. ]+ N" L" |' s9 B; ]1 z+ [/ _* |
patches-own9 [  b$ ^% z7 H9 o& \3 m  C, g
[- S- u9 F1 }- c5 I; L2 Z
  grain-here      
, O8 D& v5 }+ a2 \7 z0 J  max-grain-here  0 V- w% H- j$ |
]) j2 e8 X) L* P8 Y1 l

% S) q! E" G! J) p$ @5 h" A2 _turtles-own9 U( s/ ?3 E# E6 x" f2 C- w
[( P( d, F% V1 Z8 o
  age              . I7 \2 {" u! b: q
  wealth         8 D, X( u8 r* O; ]
  life-expectancy  + L! g: U# o9 \+ O+ R, b
  metabolism       + L( t6 l* [4 K( O
  vision  u! b9 S6 a% W/ c- n3 v) t
  inherited         
+ I, m, r0 A- r# E+ @]
" I6 j* z! p) @/ Y$ p
! V/ i: T* L6 X# K2 U, g; b
; `4 ~; A5 M' _! Ato setup
8 W$ @1 ~: ^" ]7 j  ca
* b' w  _7 ?8 x, b% Y' ?  set max-grain 50
4 {7 O7 t3 E  k* \. j0 P$ u3 q. m  setup-patches
+ S: V# u9 F$ p4 N  setup-turtles
" J: h* X5 L/ [, E* s' w6 a  setup-plots* Q7 ?' z) P* L9 l  R
  update-plots* G/ o# Y: `0 B% g# g$ j0 A
end
; U7 l: ]& W+ Q3 ~) T0 e. O% d, p' i+ Zto setup-patches& x' f. p9 z3 A
  ask patches9 J1 o; s( @' Y6 H9 V
    [ set max-grain-here 0
0 f* H# c8 m( h  }( n      if (random-float 100.0) <= percent-best-land6 e! e$ i" {" _
        [ set max-grain-here max-grain/ P& d/ K9 D8 Y1 K" c6 M: ^+ o2 i
          set grain-here max-grain-here ] ]
- W: X. @4 c; D  t, [  repeat 5! D1 W8 V9 ~" Y+ @. c, B
    [ ask patches with [max-grain-here != 0]) }% f) a3 M" q# C/ A( }7 [" B
        [ set grain-here max-grain-here ]
, M2 n6 c6 G8 y1 r- l& I; `# T/ l' _0 Z  {      diffuse grain-here 0.5 ]
- ^# w7 \; S2 h! B+ Z+ }$ q2 U  repeat 10
8 t+ n9 f2 E7 ]. L    [ diffuse grain-here 0.5]          6 d! T' I3 m1 ~! e) O# S
  ask patches, _# l9 l* k. Q) T; R) Z) _
    [ set grain-here floor grain-here    / R1 k% a2 K- D0 r* A4 O; @
      set max-grain-here grain-here      " O1 u* e' }" y3 K3 G) ]) _) n  d5 |
      recolor-patch ]
5 r/ {& I( G# ?$ [9 send
# U4 c% v( n4 [" U% v. U; U, Qto recolor-patch  6 F1 z, r1 V/ O2 Y
  set pcolor scale-color sky grain-here 0 max-grain
* A! f5 L5 g; O6 J% Rend9 h& S( G: m' K0 B
to setup-turtles2 w; w% l; R$ L/ t3 b  G4 s( F+ }5 C
  set-default-shape turtles "person"
2 j- \5 E% A' c4 Z; n5 p3 Z/ U  crt num-people$ r' f: T+ n! t8 p' a- o  [) k& z
    [ move-to one-of patches  
" i" m6 b& {: G* I% |! T      set size 1.5  
8 a, s# F* K0 k/ E: w* b      set-initial-turtle-vars-age
, r0 E- g8 }2 l8 `7 N      set-initial-turtle-vars-wealth
! ?  y7 e6 T. {$ d7 H1 l) Z, e- C      set age random life-expectancy ]+ b/ v4 I( O) \4 _$ F5 \3 U
  recolor-turtles
* i1 N2 S3 m! J* y) t) V5 Y- Uend! ?! J$ R; J# P4 {/ ]

7 X* E) z. _) d9 ?3 rto set-initial-turtle-vars-age7 m/ a" O3 _# v$ j5 M& |
let max-wealth max [wealth] of turtles
5 Y$ U( K7 X0 }5 r    6 N. n: k+ C' s" b2 r
     ifelse (wealth <= max-wealth / 3)+ k0 E2 l! |, ^$ x8 {- z
        [ set color red
! ?4 S! ^5 n* I! k2 w" C          set age 0
+ f6 U* w6 Y0 d  E          face one-of neighbors4
4 V1 Q9 l& s* y2 `          set life-expectancy life-expectancy-min +
: ~. }7 O( m, z7 K6 [) n; k  ?$ T                        random life-expectancy-max
6 G5 O# {; A7 F/ o2 P  m          set metabolism random 1 + metabolism-low/ |- j6 G2 x7 S) G) D8 T# R8 s
          set wealth metabolism + random 30; ^6 n5 C: ~4 u1 T
          set vision 1 + random max-vision
5 E( Q( H; c. t/ |4 e# M: {             set wealth  wealth +  Wealth-inherited-low ]& e3 N9 b# P* {; b# z
        [ ifelse (wealth <= (max-wealth * 2 / 3))5 |' c8 {4 `& D' @  o. b9 L! z
            [ set color yellow
0 i) U- H& z" G3 L1 q              set age 0
0 ^; |- K4 {) a              face one-of neighbors4 ) `( t7 S6 K3 G. w# d: _
              set life-expectancy life-expectancy-min +
2 T# v0 _) N! U) O1 j2 K                        random life-expectancy-max + 18 A5 ~' A7 K) R5 |3 E! H3 p
              set metabolism  1 + random metabolism-mid  \/ D. h7 j  B7 ^! W5 Z
              set wealth metabolism + random 30% k  X4 f; x* t  h' e
              set vision 3 + random max-vision2 c6 ]* Q# ?/ \$ r# z% r
                set wealth  wealth + Wealth-inherited-mid]1 h7 _# a8 |! L, z- P% d7 E
            [ set color green 7 v: }$ R& Y& `& W! n
              set age 0) h3 P4 K7 K$ W0 C2 p
              face one-of neighbors4
- V; {7 @3 y9 K) J              set life-expectancy life-expectancy-min +
, b, r6 K6 {" ^& a. ^! {                        random life-expectancy-max  + 28 y8 N5 ^% Y) q# k0 l
              set metabolism 2 + random metabolism-up
1 d7 ]) b  b! }5 l) Y( A              set wealth metabolism + random 30" P& J5 \/ M; {' r* G, z
              set vision 3 + random max-vision
: m3 d% H4 V9 A0 j8 P              set wealth  wealth + Wealth-inherited-up ] ]
( i( a$ f" Y4 M6 j2 h: R0 G2 g
2 X: [3 U" e* |0 o( u4 N. B5 Hend/ }/ Y8 A/ k( q! ]
to set-initial-turtle-vars-wealth2 J; K. ^) a. l3 U* C( A
let max-wealth max [wealth] of turtles
, Q! o" j3 _% ~# t          set age 0
' C4 ^2 S' o8 C          face one-of neighbors4 ; n  A% G/ S% L6 i- V1 ^6 y
          set life-expectancy life-expectancy-min +% C, n% a2 p1 E6 q% |, W0 y& o  T8 G
                        random life-expectancy-max
* x# y  |" y9 ?, x7 P/ G          set metabolism 1 + random metabolism-up
1 p) c4 }# B4 \) x2 x          set wealth metabolism + random 30
7 E5 a4 V4 u0 G! Y          set vision 1 + random max-vision * Q2 |( z/ q) u/ ^9 k
end
" q1 ]! A: r: P- h: eto redistribution( ^& n: f7 z# ]& _" S" d
let max-wealth max [wealth] of turtles: I2 `5 @$ T5 }1 t- T/ e4 r
let min-wealth min [wealth] of turtles
1 h, C7 w/ l7 x9 `9 j1 Fif (wealth <= max-wealth / 3)" v8 g7 S6 r) v
[set wealth  wealth + Low-income-protection ]
/ y3 l% J+ k/ n5 vend/ D+ ?; t5 e" g! N6 d/ i
         
& V8 s2 M, Y+ N, tto recolor-turtles0 v3 H* U- {$ `9 v1 _6 e8 e6 F
  let max-wealth max [wealth] of turtles
5 O+ ]. X+ M. r& [' a4 h  ask turtles6 G5 N! O7 l6 a" i4 p
   [ ifelse (wealth <= max-wealth / 3)
( R* l2 ]; G2 W5 d7 o: \        [ set color red ]% N9 D  H/ f# Z  H( @: O
        [ ifelse (wealth <= (max-wealth * 2 / 3))5 v& n4 J: v. h3 D2 q
            [ set color yellow ]% Y/ t( ]4 D' c8 W# D1 Y
            [ set color green ] ] ]
+ g; Z4 M* @* c+ M: Q7 H. R1 x. A ask turtles [ifelse show-wealth?
4 y' B0 G$ m; H0 ^- H  b    [ set label wealth ]
5 D0 G# B" |! ?    [ set label "" ]]
' }4 _0 g$ K! Send
4 R0 W( c; w+ g. D7 B& B# a! X& |$ O
: F" Q5 Z! S# w4 Nto go
8 v3 M1 x4 g/ B2 o3 \+ L  ask turtles( S! G# w  T* E1 A
    [ turn-towards-grain ]  + P: w6 d2 Q! v8 p( q/ C/ X* d, _
  harvest
' ^( ^/ b+ V: X" x7 K1 ?  ask turtles
- ^7 N% `: H7 A+ {# h- C0 W    [ move-eat-age-die ], o# ~1 W& x3 R4 ^  W. t, i4 Z
  recolor-turtles) k/ W" y( E7 n- \) J
  if ticks mod grain-growth-interval = 0
2 q1 _# @# R, ~7 @    [ ask patches [ grow-grain ] ]
, {: w9 e% u, i, d& d   
7 I( o0 B5 x/ e$ p% v3 @) i  Q; T  if ticks mod 11 = 0
8 \( L* F: U* c% G. R  [ask turtles
' i/ x3 R1 W, s' l  [ redistribution ]]
7 k, B6 R% H' o( P  if ticks mod 5 = 0
" s1 f! f: F7 v   [ask turtles4 g3 j+ t6 u6 b
  [ visions ]]' V& J; x3 [5 I0 `
  tick
* {$ @. L1 n- r3 ?2 r  update-plots. ?! j: X0 E8 o" B0 ~) s
end
# h) ]! F9 v% d. Cto visions; V" ?8 x3 ]$ r7 a7 Y' i$ l
set vision vision + 1 7 G; v, a* m. ~) ?# U+ n' e, R
end% X5 W; H* _! w) @; n
! i5 z8 }1 c( f0 c! \2 b
; [+ A" b& U9 x8 ^; N

  G* V5 p3 _) z# C: d0 Tto turn-towards-grain  
  `7 A( f# |9 ^4 l5 m; \, x5 U  set heading 06 f- d8 k4 c: y! K: d
  let best-direction 0" p/ _/ Y2 z; l# D% ?
  let best-amount grain-ahead
: }( u* U: c  N5 _0 n. P  set heading 90
% _3 U4 E& ~5 c/ G- k. s  if (grain-ahead > best-amount)
/ v! o, a$ Q& H    [ set best-direction 90( J" M( z+ K2 \+ b
      set best-amount grain-ahead ]
5 I/ v7 [: ?8 M* Z  set heading 180
0 P1 M' H' u7 c3 M$ ^  if (grain-ahead > best-amount)3 U! W- m. o8 H# z) Y
    [ set best-direction 1808 R  H1 x4 Q$ }3 \) X; X
      set best-amount grain-ahead ]9 B8 F# t' [5 ]
  set heading 270
4 H) s  p0 K+ _  if (grain-ahead > best-amount)
) T0 y! |5 E9 |- {; ?    [ set best-direction 270$ s$ Q9 K7 m0 s6 g
      set best-amount grain-ahead ]+ O* z1 z& E4 _2 p
  set heading best-direction# F# G% B* ^( C* p& n: U  R  M6 M( P9 X
end
' \6 y# {9 M; \8 u& e, U7 f
% l6 B9 b7 U7 _! K
6 |, D8 X" q: }( v/ A5 Vto-report grain-ahead  & s7 N/ c+ F, S5 @- _" f( ]' P
  let total 0
) C0 w/ Y( _3 z1 e$ H: |  let how-far 1
8 E+ N2 Q3 p7 V+ ^- I  repeat vision( I* O% t, H' h) C
    [ set total total + [grain-here] of patch-ahead how-far  F. ?% S" b- p, ^+ `
      set how-far how-far + 1 ]
' G6 P* \8 {( W& C  report total
# S6 \  w2 y) |% x% g  Yend. ]4 S1 @5 A7 R& o

5 U* [! F$ t7 ~to grow-grain
7 N5 w% s2 E. l0 z& V  if (grain-here < max-grain-here)& r% R; [% O9 J, J
    [ set grain-here grain-here + num-grain-grown
0 E, n8 q4 T; G4 Z0 E8 i/ T' e      if (grain-here > max-grain-here) 7 ^" ?6 o( ?* F9 `% N
        [ set grain-here max-grain-here ]
2 `& n2 ]4 s# Z  i/ i! S      recolor-patch ]0 _3 R3 p) C! ?- p
end1 t0 m5 m5 k+ \7 X; c: v
to harvest
4 b2 c  O* D, m6 p  ask turtles& x7 I) a. [9 @& u& z
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
- L, G) b7 c* i# |  ask turtles
1 R4 Q9 h% Q, U* g    [ set grain-here 0
7 r7 M: M- ~2 b9 _0 \      recolor-patch ]
* u! U5 \. d* N; }2 X  - `& }# M& L! b8 i" X
end1 }+ p4 l" n# J" m/ f
7 b% }' o5 d8 |. j/ a2 T
to move-eat-age-die  * a7 }' H8 k; r4 E, Q
  fd 1
0 m- K9 a# c( o6 u3 W) [  set wealth (wealth - metabolism)
, I! [' O( ]' H; J+ |0 N- j6 X& k    set age (age + 1), r* K# u8 t8 R2 J* J+ N
  if (age >= life-expectancy)
2 J) y+ q4 h$ `& F6 X- z! y    [ set-initial-turtle-vars-age ]! l2 O4 p: F" q* T7 x
  if (wealth < 0)
2 ?; q- c& @' S5 X" g    [ set-initial-turtle-vars-wealth ]
6 L% L6 w. t% j# H! h; |- R    7 k0 z3 k& ~8 E! d1 C7 }
end
- A6 \! b9 s; c+ j6 O" Q; M4 ~- f9 g3 ^

. K. @# }3 A* R4 [9 c' Kto setup-plots
2 D+ c+ v1 ]& f+ h) Q  set-current-plot "Class Plot"& p( h0 V& G, g$ e: t2 G
  set-plot-y-range 0 num-people
: W" K/ e, f* ^  set-current-plot "Class Histogram"
' @7 t0 Z6 S* Z  set-plot-y-range 0 num-people
! ?* y  d/ S* N7 ~% Q" ?  [end
8 W  Z8 N! k1 S
1 C3 x7 m2 c9 Z* Y* |to update-plots0 Y- w3 b/ [3 M9 O! {" K
  update-class-plot
; j8 U* A  D' T4 N8 n4 ?  update-class-histogram
+ ]- h* q" Z6 j# A  V6 V9 U6 H  update-lorenz-and-gini-plots6 F2 f9 w8 v& z( _! L
end! ?' Q3 ~0 P+ C2 C
( P. a" Z4 Q. M! r8 T0 ~; l1 ]
to update-class-plot# G2 s8 L- M, p  {  R: ^0 L
  set-current-plot "Class Plot"
" H. [5 u: a; \$ f1 v  E* F  set-current-plot-pen "low"
9 ?5 b. w. ^  R9 `' W; [2 r  plot count turtles with [color = red]
' _6 j; r3 Z5 C: E/ L  set-current-plot-pen "mid"" D, ~4 J) l1 i. y/ ^& e* q! r7 ~0 p
  plot count turtles with [color = yellow]
: R) t  T. c" r- E  {% ~% R6 b  set-current-plot-pen "up"
* u& @5 T. [& X- I2 m5 g: C  plot count turtles with [color = green]
" `1 j" Y. F! Bend7 M9 o1 W0 a; f/ o+ p. A; _

: m. ]$ V6 g! l3 fto update-class-histogram
  R1 t- C3 u% c; ?# e- _" Z( r  set-current-plot "Class Histogram"
3 Q9 }7 y  y. R2 B/ L! B, R) ~  plot-pen-reset9 x; L5 M( W, y# Z  g) w7 Q
  set-plot-pen-color red8 p; M  [: n* {! j' ?% I% I5 i
  plot count turtles with [color = red]
6 P+ n$ V, r) [7 @3 j2 f! Y  set-plot-pen-color yellow/ h6 W. ]4 c* d; R
  plot count turtles with [color = yellow]- p4 Y+ K( P# _% Q" e( T
  set-plot-pen-color green) M) Q: w2 a, {, c- V# A
  plot count turtles with [color = green]
6 A9 A2 q7 {, X3 N  ?  Nend7 H  ~0 \% s; L
to update-lorenz-and-gini-plots
7 [% k& a+ a. S( O8 r  R# x6 V  set-current-plot "Lorenz Curve"! l/ X2 F2 o1 C; R, f
  clear-plot) S# U7 \% E- A: O9 ]. ^

7 c4 E9 X$ K3 E  set-current-plot-pen "equal"& F! @" o9 M/ Y2 N2 Z9 X$ ~9 R
  plot 0
5 B5 w9 A( u2 w# }$ N# y6 K. G  plot 100
8 A% n  u) ]7 I9 g% L2 {8 d% x) n, m4 G" n( [% C" `: H9 ?
  set-current-plot-pen "lorenz"
6 ^; \, ^; G$ _9 j, {5 O# u  set-plot-pen-interval 100 / num-people
( Y# V7 M- a% ]9 C$ x/ S- q  plot 0
9 q- w: d( O- ]) ~/ y  n! K3 p9 b% P5 n( w$ g
  let sorted-wealths sort [wealth] of turtles8 e+ ^, R+ }" N: L4 Q
  let total-wealth sum sorted-wealths
/ `. ]# v0 m$ s+ D7 p8 ?3 E  let wealth-sum-so-far 0
0 A6 [9 r3 M* u. B! i  let index 0
& P& W* A5 c1 K+ G3 e  let gini-index-reserve 0- i/ F6 c$ I8 v/ q

# H' {! ]$ u2 R, J0 z6 Y  repeat num-people [
" i2 f3 v8 z, \+ B9 W5 d8 \& V    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
1 F1 v& ]) Q8 F    plot (wealth-sum-so-far / total-wealth) * 1009 B' S9 z3 W6 a) _, h$ G
    set index (index + 1)8 J: M- b9 I6 A0 j2 ~( _% d
    set gini-index-reserve
1 `4 W; b, a6 F, ^' ^/ z+ b( r      gini-index-reserve +
3 E1 u9 u! n. V* E% j- J7 p      (index / num-people) -
; [* A& D6 P! I% j" o' w      (wealth-sum-so-far / total-wealth)  }  c& s  p. G9 P
  ]3 u" Q8 ~) _( k. L% p) d
7 k4 i* u5 h5 j4 z; T- W6 K% [
  set-current-plot "Gini-Index v. Time"# n; t8 u3 I) C2 Y
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
: G3 D8 ^, r4 \% ?8 z" Wend, Q1 y4 w, e/ ~2 O8 f3 q
to-report area-of-equality-triangle
% f5 k( A: O( R; C! N" t; j  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
, _3 \  r; X; c. n5 n  @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, 2026-2-26 23:28 , Processed in 0.014755 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