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: 7540|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; T$ U' N& r2 }+ y& \9 N4 Oglobals. u  s7 F8 U/ r: |
[
/ h1 g, y4 r' }* F- [  max-grain   
" d( B; g$ D  e! i) \6 ]9 Y" I9 |; E( L' _; l6 T
]9 G& j" I2 U  O- m" O0 f
( g5 C- `2 u  K; [5 a  n* w
patches-own8 ?7 n$ R: p# H
[% g) w. A1 z: |& ~* h8 F9 |
  grain-here      
" d6 }! m( J, d% w3 t  max-grain-here  
+ V9 _) r) g( L: x% Z]8 B' T3 _( V5 i! K+ o

8 H4 G  h) m3 c+ K& ^turtles-own
! x5 @- c( ~% T8 v1 D8 ~( ]/ f2 W[2 D* H& V* Q; _6 t! j
  age              3 ^; l  Z) s# n0 d% R8 t
  wealth         
4 o; D- O, s2 h: d. T* _8 m( u  life-expectancy  9 e- q9 N5 X9 ?) w
  metabolism      
  X) j5 [3 K5 X2 g- Y; [  vision
- {8 T$ l, n/ z5 y; x$ P  inherited         + J: t% B) o# x5 M- X( N
]
# ~) m& d2 K$ e6 ~6 W7 B; P% J" L+ [, Q- W4 P) f5 p, y' a
& O; V2 O8 j: ~9 z. v
to setup6 U7 Z- y6 P% R4 Q
  ca
$ C" {# I5 }/ Q( @- j, m6 l4 j  set max-grain 50  U# y1 E0 @& q- l
  setup-patches" t5 E9 X! n' Q8 Y: l' p4 J7 o
  setup-turtles; O& ?$ O6 p! S/ `/ p3 s' Y$ U1 M
  setup-plots
/ T" C3 z. l/ `  update-plots
3 U$ G: A' l! i5 Vend9 G/ K8 ~% ^' g+ }' \
to setup-patches) q4 t2 h) u: x# `. I
  ask patches. n, @) r/ N3 h1 C  P. ]; T% B1 {
    [ set max-grain-here 0
  `$ X1 E, F- @7 c5 L      if (random-float 100.0) <= percent-best-land' S% [# _3 y- H
        [ set max-grain-here max-grain2 `. E* ]/ |; D+ E6 t
          set grain-here max-grain-here ] ]& x3 k  M1 R+ q8 O! D" D4 @
  repeat 5; a0 w# ~6 r4 Z" O  y$ m0 W
    [ ask patches with [max-grain-here != 0]  U1 i" Q; G# s$ \. ^2 a8 c
        [ set grain-here max-grain-here ]
, Z5 _* z0 e( y# c      diffuse grain-here 0.5 ]
; ^" {. e/ K% q  repeat 10
$ e/ c2 H4 x/ [" d    [ diffuse grain-here 0.5]         
3 I/ I! E4 M( P) I) J/ W: ?# ~  ask patches
1 K! R0 T) O  s" l* h5 F1 a$ ?8 a1 w1 i    [ set grain-here floor grain-here   
$ ?# [, P7 G- r      set max-grain-here grain-here      ! S* o+ N" _0 B5 f7 |
      recolor-patch ]5 P! g+ k0 e+ i# q9 Y" o
end) k! d# t! `# V1 B7 T
to recolor-patch  
) W$ |; Z" X: i3 v8 a) t5 x9 u  set pcolor scale-color sky grain-here 0 max-grain
9 r9 n$ \" f, M' O1 Gend: F' h8 ^* r( x) o4 `
to setup-turtles
0 _- B* o; `& g/ s5 U/ d  set-default-shape turtles "person"
1 K1 i8 M1 D- s( Z* F  crt num-people
( u2 A/ I. p5 v& A. J7 T    [ move-to one-of patches  
/ ?, L: ]$ e5 e0 J  E2 ]3 M$ s      set size 1.5  
; J% G. E+ _2 _' G, O7 w3 ]# c      set-initial-turtle-vars-age
  h4 F/ z, u1 `  y      set-initial-turtle-vars-wealth+ e/ u% v% Q- v8 v: X
      set age random life-expectancy ]
0 j. I! X1 K# p" x" V& b  recolor-turtles/ F" r3 _: ?: y: G; D0 `4 q& V; C, M
end* G5 Z1 \1 Z$ F5 h

. X) }% J  a7 f5 q: p: X2 m4 [to set-initial-turtle-vars-age
2 m( c8 [" A: Y  I$ }1 |4 [5 b1 H let max-wealth max [wealth] of turtles) G: n- J0 }/ f1 `" |
   
# X- M/ X; k( W: {6 u7 @     ifelse (wealth <= max-wealth / 3)
5 L% d8 e5 }- k* O& P. ^% i) m        [ set color red
* w: ^1 Q# z, z# l8 Z# V          set age 0
  B8 W1 L# G; ^$ M- X7 L          face one-of neighbors4 " t7 k/ G3 U* J2 B& \
          set life-expectancy life-expectancy-min +$ w* s; ]9 D' `# T. i' K0 U) k) C
                        random life-expectancy-max
5 ^! L# v$ J: K( h          set metabolism random 1 + metabolism-low
3 p- c! u  ?; ^) X' P          set wealth metabolism + random 30
5 Q5 b- y+ j" u5 \2 `          set vision 1 + random max-vision
' {: I1 X/ A& L2 X9 Z$ O% {) d             set wealth  wealth +  Wealth-inherited-low ]+ j- k8 a( }( }9 G4 V. l
        [ ifelse (wealth <= (max-wealth * 2 / 3))* p8 s  a  Q3 e$ Q- q& ^
            [ set color yellow 9 V: H6 b' [* {- u- ~
              set age 0
5 e* n1 x  {/ H* {  B) _& n9 g" ^5 x              face one-of neighbors4 : z5 z. ^% _! Q2 L" D
              set life-expectancy life-expectancy-min +
1 p4 E  I- p0 h$ d/ d6 _                        random life-expectancy-max + 1
& t. @& ]/ F6 r2 U* k) u( L/ x              set metabolism  1 + random metabolism-mid& U, W7 \8 p1 q2 v7 }. {
              set wealth metabolism + random 30
- \! y+ Y3 I, w1 [; d' B              set vision 3 + random max-vision7 V; h7 a8 F3 h; K6 e* s
                set wealth  wealth + Wealth-inherited-mid]
& T$ t7 _2 t9 Q# G5 x; j            [ set color green
! q! b) U% J9 k9 U9 Q/ s$ C              set age 0
! J# P. O$ L1 s              face one-of neighbors4
1 K$ b, f8 k. s: d# ]6 @              set life-expectancy life-expectancy-min +5 e1 q( ?3 `5 X! u
                        random life-expectancy-max  + 2
& I3 Z' t- g8 o2 Y& p) w$ m              set metabolism 2 + random metabolism-up4 Q( O9 d" u2 k/ u, r! n; ?
              set wealth metabolism + random 30
2 ^( A7 X4 k- s/ W              set vision 3 + random max-vision
. m5 _- N$ }0 [% X# b  X              set wealth  wealth + Wealth-inherited-up ] ]
4 i1 z" a1 i: H  j* l/ Q2 k 3 Y8 I5 A8 e; n4 i$ D6 d
end/ Q6 B0 y0 b3 o$ e
to set-initial-turtle-vars-wealth  v4 X' z0 e6 f& j: P4 d+ @
let max-wealth max [wealth] of turtles
5 M5 K1 k8 ~% v          set age 0
2 a; _" g! r( M; {' A7 g& O          face one-of neighbors4 ( d( Y6 z# ~2 P8 g: O
          set life-expectancy life-expectancy-min +5 h$ H: E" l  @+ P2 y3 l! z
                        random life-expectancy-max
0 S/ J+ }9 O, r8 r# k          set metabolism 1 + random metabolism-up
5 R  d% p- y7 v1 |          set wealth metabolism + random 30; q4 \6 ^% @, y; N1 J
          set vision 1 + random max-vision
6 B. b& `2 t& }) V" U2 ?end
: `3 B9 _9 a5 Y) |8 \, y* T: M+ A: wto redistribution
5 [0 a, i4 _; X  _/ W9 Z/ Klet max-wealth max [wealth] of turtles
- ]% A9 ?% r/ K$ Klet min-wealth min [wealth] of turtles
, @6 Q6 u) E; N$ @( f. ]if (wealth <= max-wealth / 3)& ~& v; ?9 A$ n: _+ r- v
[set wealth  wealth + Low-income-protection ]4 c) E1 C. e9 F, z+ C
end: L. n- W0 S, n+ Y3 H' ~
         
  U2 p4 v$ ?5 g7 J8 l: @to recolor-turtles9 {) U/ @+ ~5 ?7 j: j7 k! Z% f1 _
  let max-wealth max [wealth] of turtles' w3 I. n$ g; ~- W* c6 t
  ask turtles
3 Y8 g- u4 o6 P   [ ifelse (wealth <= max-wealth / 3)# u  }% b2 l, ~0 U
        [ set color red ]* `' S  c+ H7 O; n0 ~
        [ ifelse (wealth <= (max-wealth * 2 / 3))
9 r& H- C5 ^0 W& p! t! B# G            [ set color yellow ]
) S5 Z; R9 a( k            [ set color green ] ] ]1 z- {. T9 f+ l  N
ask turtles [ifelse show-wealth?
" G: J9 z6 }! W5 W& m2 u# ^    [ set label wealth ]' Z/ A; y) C8 Q7 ]
    [ set label "" ]]
4 ]2 U# u) v; H3 T. F$ m7 Tend  h' n9 u6 Y  @7 X! v7 l9 L* E

9 E) A2 \8 ?- xto go8 N4 N" @/ D: j5 K
  ask turtles" P( {  n" r5 F4 Y. R
    [ turn-towards-grain ]  - X8 P. b+ W" \  m9 c3 ?
  harvest: W! w1 S9 j, [3 M. m+ ^0 v
  ask turtles
  g. `: `3 a! ?1 V3 G/ ?+ R9 Z    [ move-eat-age-die ]' c5 f6 l! v: J! z+ Q: x* p
  recolor-turtles8 U/ y/ B9 x9 W& t. x4 l
  if ticks mod grain-growth-interval = 0: G6 _4 ?6 M5 ^8 e/ a/ z* Q; A0 _
    [ ask patches [ grow-grain ] ]
; f2 l, V: p/ S/ l) H   / R' L# G6 [( J
  if ticks mod 11 = 01 c1 s7 _5 j) g+ [: h  z; D
  [ask turtles$ z2 h7 x; s+ u; a1 Y
  [ redistribution ]]
# b5 I6 j% w6 y5 s& v0 o- }& }9 |6 \0 S  if ticks mod 5 = 0$ R5 l/ U0 v2 p- C6 K) M3 z1 l
   [ask turtles
; ^; V2 j2 U* Y- X- z  [ visions ]]
* }6 ]* Z6 i+ ]0 ~2 h/ e0 i7 y  tick
! C8 n4 L& O( r8 c% D" W) X  update-plots
% P+ ]1 L3 a; s9 ]4 n- Pend7 G0 `4 A# [) J2 r7 @  w( N
to visions
0 c. p9 K) Z/ `4 n3 Y) |6 S$ I& J set vision vision + 1 1 A+ w6 Q, v' `
end; p4 c& U9 Q+ J; O& E
! F  e" ?! n4 z
- h( |+ W3 B: F( M  ?' a
3 Q* {' L% U* F% j
to turn-towards-grain  + l# k8 h  \6 k- @) O8 T& X5 V
  set heading 0
5 ?  |/ k+ w; T6 T6 C. }" h  let best-direction 0, D0 i4 \" Z% b3 ]
  let best-amount grain-ahead3 g* ?( X1 E) r/ U5 }$ T( H
  set heading 90% S3 y& M& {- x% r
  if (grain-ahead > best-amount)6 d4 {+ E5 R* V0 L9 V
    [ set best-direction 90
7 K0 d$ E1 |5 a* p" {      set best-amount grain-ahead ]' L. N( `/ U6 i- f! I: X
  set heading 180
  o7 v9 O# e; n+ b  if (grain-ahead > best-amount)
9 a5 V, E! q% D8 y9 P8 b3 t    [ set best-direction 1807 _7 A4 N) v: R+ L" t! K4 j
      set best-amount grain-ahead ]
. `1 v' x5 I0 M* ]3 }  o( q  set heading 270
6 z! o, H5 Z3 Q+ ?  if (grain-ahead > best-amount)
" V* B& N- {" b* l, C$ x  v    [ set best-direction 270; {/ r/ b+ s: |. b- x; Y
      set best-amount grain-ahead ]  \0 g/ [! K" M! U0 R
  set heading best-direction
# C; W% Z8 c$ T3 pend
; s$ f& l" c1 |0 n: ]5 Y% j. c' d5 x3 w1 W& c% d" k7 p

/ c# T0 |8 c. Y; W, wto-report grain-ahead  4 m1 b0 _2 Z" z! v. [
  let total 0
) [1 y- r! a$ c9 y# C  let how-far 1
+ |' E2 z  A; Z# u+ R  repeat vision
* M8 W) E# Y# I2 Z    [ set total total + [grain-here] of patch-ahead how-far* F, C& z& a3 a
      set how-far how-far + 1 ]" }4 q8 [4 j: N" T4 I9 v; h
  report total
4 r" h. n( D- l7 t+ Bend' U6 q2 {0 ^: j  k9 A
  i4 V1 m/ ?& x8 ]$ D9 w
to grow-grain
7 }- C, f' v9 z: q2 ]& g  if (grain-here < max-grain-here)( ]  T' A9 b- d& w* R
    [ set grain-here grain-here + num-grain-grown
2 b, P8 {6 }# J& h  v  l      if (grain-here > max-grain-here) ( b1 v8 I  g. C' V# t: M1 f
        [ set grain-here max-grain-here ]
& i1 I& B" j! Q      recolor-patch ]0 o) q/ W2 |4 n% [3 B
end  I$ k4 Q: m: G( @* \$ G/ r5 p
to harvest
2 W% q  A1 z+ `$ M  ask turtles
+ u0 [- r- k, u7 h+ ?4 G    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
1 u8 Q' `. ~, z7 G  P  ask turtles
- ^% }( E: ?9 m: L7 ?    [ set grain-here 08 P* z- [8 f3 ^9 g( W1 X3 k0 e
      recolor-patch ]
. [5 v" O1 j1 _% g/ }. r0 S' ]  
% ?1 ?4 K% D/ r7 Nend
7 T; J* W2 o5 o% \2 x, s5 Y. B' l2 s, G+ A  e( ^9 u- c
to move-eat-age-die  % @1 v' a: P9 W* s0 M6 h/ Q2 U
  fd 15 ~$ D( D  }% S2 Y7 `; Q
  set wealth (wealth - metabolism), P( w; i# t8 Q% g0 ?
    set age (age + 1)
" Q5 W$ Y9 o1 T# q  if (age >= life-expectancy)4 t5 L) L5 n+ [5 [( [! _
    [ set-initial-turtle-vars-age ]
: |- O* F. S5 t$ ?; `% ^  if (wealth < 0)
3 ?) d# U0 t  x4 S    [ set-initial-turtle-vars-wealth ]
" X& e  p. p/ b   
2 s9 K$ Y5 y) v+ A8 Aend/ f0 W7 j7 z- z# Y% R- n

$ l) x" u% _# k" |8 C! T
4 X  o! [  y' ]3 v- k0 ~to setup-plots
" j4 K+ L2 m9 f8 e& G2 k5 k  set-current-plot "Class Plot"* |: ?! h1 ^) E3 ]. }( t" k
  set-plot-y-range 0 num-people
8 @/ Z0 R# i4 f6 v1 e# g4 r  set-current-plot "Class Histogram"
( x4 h. A2 C3 M1 R; \) P  set-plot-y-range 0 num-people
; B$ r* K0 {) t  Oend, D! i7 B  W. U5 ^( j3 a
2 ]* c% \- P$ r* t
to update-plots
" h7 q' w' `, A5 q3 @: e3 ^  update-class-plot
- B0 K- k, M2 X* Z0 k  update-class-histogram
) O* `# ?9 N; I$ ?  |  update-lorenz-and-gini-plots
/ H. t6 b/ o; c. ]* j* k& Jend
; v9 T- h! W1 n
6 G# o1 R( ]0 ^/ jto update-class-plot4 L/ s5 D7 B) }( j" S% O
  set-current-plot "Class Plot"! D+ T. C, H2 e/ q3 E
  set-current-plot-pen "low"
' H. P& r2 Q* Z" ?# a  plot count turtles with [color = red]
" P, D' i- m2 v' `/ Z; l9 o  set-current-plot-pen "mid"8 z6 C3 A$ o- k5 H) d
  plot count turtles with [color = yellow]
2 J" |* B5 R/ v  set-current-plot-pen "up"" Q9 O7 N( V& [+ ^* p
  plot count turtles with [color = green]
" [  M; Y4 o' D$ E$ o3 U. ^3 vend/ w: V# v. g& l4 i, c
0 O. D6 \' M1 A9 j  O# l" p
to update-class-histogram
8 F) e' e6 Y+ k% F2 b  set-current-plot "Class Histogram"
( @! ]: h" Z. }) }  plot-pen-reset) ]( z) O1 }# g. v
  set-plot-pen-color red" ^# H% p5 k5 a' S
  plot count turtles with [color = red]
4 ?" S6 c; t( O4 Z  set-plot-pen-color yellow+ z. r9 ?+ S/ Q" }: e; l
  plot count turtles with [color = yellow], E! z$ ]5 ^/ j* u/ e9 j* r& N
  set-plot-pen-color green
4 o4 a' F* \* {" U1 e5 ~6 B- |; ?  plot count turtles with [color = green]
& |& h. ?6 w7 P$ t# i; P+ }& Tend# a! u1 ~0 |& N1 y) p2 g, N
to update-lorenz-and-gini-plots
. T, s( C- b% _  `  set-current-plot "Lorenz Curve"6 _8 H- J3 a1 ?# z# ~0 ^; N
  clear-plot
4 H7 t. J' R2 r" m  k% G" e! N
! y  k! T$ q, @! i" M+ L  set-current-plot-pen "equal". T1 b* t; {: v" p# H4 g
  plot 0$ |' z; @: H7 W0 ^
  plot 100' b5 U# _% A9 V. X. f& ?* m+ ^

7 q  p5 V6 o& c  set-current-plot-pen "lorenz"
# g/ m, ]; r" @+ F1 M  set-plot-pen-interval 100 / num-people
9 r- ^3 h* ~5 l! \  plot 00 J! e0 w7 n4 }0 ]3 i0 W

& Y. J/ \( P' a8 C3 N! [  let sorted-wealths sort [wealth] of turtles* O1 [+ t3 k0 O8 Z- Z
  let total-wealth sum sorted-wealths" ~2 C7 O$ O) L7 J' I. V! U
  let wealth-sum-so-far 0
0 t* \: A. m; T, T3 P& Z* E  let index 0
9 W; ^7 N0 T2 W8 L  let gini-index-reserve 0* ]. C5 B& c7 r* W+ X) u' H

+ g$ o7 g7 y. ?6 |6 D$ a8 Z  repeat num-people [; J- ~3 N+ U2 t8 ]9 O& g& O; ^! x. `
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
8 B6 |3 ~; I2 e5 K/ _9 O    plot (wealth-sum-so-far / total-wealth) * 100! y, i+ M/ T9 H& v6 ~0 U8 E" G. n
    set index (index + 1)
1 J$ g$ i/ z# U* L* e' Y& m  I4 Y    set gini-index-reserve/ l% Z# T8 w" U8 W: J! v
      gini-index-reserve +7 b6 A8 i9 ^# c; y. B7 Q  }- Q
      (index / num-people) -
" L) z( _! M* l# A. o& \      (wealth-sum-so-far / total-wealth)( ^$ }& F) N. Z  R5 S) \
  ]
* U. v) A7 }* v0 y) w# n9 F/ G& V( P6 K/ N2 K( _, I; K
  set-current-plot "Gini-Index v. Time"  b. H6 j- q- m& ?! s# x' |
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
6 u! Y- X. Z& S# t# x: wend
* ^. y  ~, _2 S/ l* T9 E4 Xto-report area-of-equality-triangle
3 q! r$ n( ~5 R" L  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)4 G( [4 R' |& W$ F% G
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, 2026-2-9 05:11 , Processed in 6.032244 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