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: 7760|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; N3 j* o# c) H8 `
globals. o. z# V+ y& h3 C
[3 U' P2 ~7 |& x1 R" B. e
  max-grain   
0 _8 R1 R/ z7 ^0 U! F" t
' \5 k+ G" i" U/ ]]; n; Y7 g' ?( a$ Q! M/ }
2 B& U1 H0 p/ i2 I' i, I  n; k# K8 B
patches-own
' S0 M4 Y6 K! _4 B2 R[5 V6 N0 L6 q# Z: P
  grain-here      7 L8 {- X0 s. m, W" \& o9 T
  max-grain-here  
9 [) ?$ H/ v6 e+ y0 \( w4 C, e: k8 s& O]+ Y1 X1 P8 R" N+ L" |
+ C3 N" ?4 j% D1 H9 s8 W
turtles-own: m! V) w8 P9 x% H
[! V, A. J) p0 r( C, u6 g- G
  age              
/ q/ a$ ?% R5 x  wealth         
. N& e3 i& d- W- j  life-expectancy  
( H, H( @' v! U2 w7 y  metabolism       2 K0 G, m+ m; P2 ~
  vision
. w" `4 e- N5 ?' g! v  inherited         
5 g! o9 Z9 ^- H! L: c6 z! Y]
; x; ~7 K; H: W* h1 O
  g3 D. m; i- P/ f* l4 k
1 y* G$ V+ b* e: _3 Z( g" I) vto setup
' P' t; l. N$ o& r# N  ca3 L: _3 V9 e9 b- A7 @% a$ r
  set max-grain 50& u9 p& i8 E: l. G0 i
  setup-patches- w2 g( `1 q5 ]" @8 O/ f
  setup-turtles  Y, w0 d$ W) C8 [
  setup-plots- c6 w6 ~2 N9 [8 r' o' z5 r
  update-plots
" k; L# W$ G& Q& c: nend
: g3 o& `% p- a2 f# H; A& ?- d' Lto setup-patches/ ^% |( w# P/ O$ I4 K- k3 X# W4 L5 k
  ask patches
  K9 R2 G( X& _5 @6 \- k( T    [ set max-grain-here 06 h. K6 Y1 l% D+ v+ X& ~) B4 N
      if (random-float 100.0) <= percent-best-land
0 C" S' l+ a, ~8 ^7 ~- _        [ set max-grain-here max-grain
; z9 N' w  x( E          set grain-here max-grain-here ] ]
% @; S! _3 V6 b. s  repeat 58 r0 c* d2 p7 \  N) O
    [ ask patches with [max-grain-here != 0]
- n5 P: V, M$ }        [ set grain-here max-grain-here ]
+ C/ L3 `0 U2 ^      diffuse grain-here 0.5 ]
- q# n4 t* E) C  repeat 10
% ~! G7 ]) V  `( L( ~: E    [ diffuse grain-here 0.5]         
: V& _: @: `8 P2 Y8 d  ask patches3 Q) y& x5 w* I  ]8 i, \8 d
    [ set grain-here floor grain-here      C3 u: Y9 _5 r) e, e! V
      set max-grain-here grain-here      
' N; w1 F+ o. c& ^8 I      recolor-patch ]/ i; v0 s4 [7 c5 m7 Y) m$ k
end- J/ z8 d- v! d! p" j0 j
to recolor-patch  
2 E3 y4 M  W: D( Q% W8 _) @6 D! m  set pcolor scale-color sky grain-here 0 max-grain' R) ~8 ?  _5 P. k, a. u
end; W4 v9 e. R! k/ t
to setup-turtles0 u7 h+ V3 q8 y% y- p0 H  N( Y
  set-default-shape turtles "person"5 ?; Y7 Z& N9 m& O! N0 Q
  crt num-people/ j5 R3 c( k! O4 ?7 Y- s
    [ move-to one-of patches  
8 E) P, k1 }* {) i8 R0 o      set size 1.5  
9 y' o' i; ]" p, `      set-initial-turtle-vars-age
2 @  g) {. ~0 x% I0 [; F5 _3 O      set-initial-turtle-vars-wealth
6 R& Y% E" ?- R, w3 {4 o. q* z      set age random life-expectancy ]
' Q6 q" H. P2 {& r  recolor-turtles
, q3 }1 v6 a, ?% aend4 d4 F6 K* A# Y2 \

! i) K$ \$ G8 mto set-initial-turtle-vars-age! e) ]) Y6 O3 \* I3 V
let max-wealth max [wealth] of turtles
% C8 m' I. t/ l1 K   
2 N* D3 H9 d" O     ifelse (wealth <= max-wealth / 3)+ u" [2 k% H" r: x( Y' q
        [ set color red . [3 n. t9 j8 N( d2 T9 |/ c7 a' n  |
          set age 0
7 S- Y/ F5 L8 x- w          face one-of neighbors4
. c# s! j3 a0 j          set life-expectancy life-expectancy-min +
' n. d. v, X& b5 {* X/ A4 F, }, ?$ K$ q                        random life-expectancy-max 7 d$ k4 L! H2 ?& k8 t- z, g. }$ t8 L) H0 c
          set metabolism random 1 + metabolism-low
/ l: a4 G0 ^, Z- m/ |          set wealth metabolism + random 30' \0 v! T3 B$ p2 C
          set vision 1 + random max-vision( V/ z$ Q& o5 L% ~; ?" ?
             set wealth  wealth +  Wealth-inherited-low ]
; s# _# m$ B8 I# y+ F        [ ifelse (wealth <= (max-wealth * 2 / 3))! `7 b" `! i5 _
            [ set color yellow & k! A) |6 }# e* H( r
              set age 0
/ P' U2 a. X7 W7 ?; S              face one-of neighbors4
3 ]5 |+ f4 z! V! i0 \4 H: [8 ]/ G              set life-expectancy life-expectancy-min +6 h5 V8 V0 b% f# z
                        random life-expectancy-max + 1& V0 s" a, D: x* ~1 l2 w& J) K
              set metabolism  1 + random metabolism-mid
5 x$ f* G7 D7 z              set wealth metabolism + random 30
+ k& p* A5 W$ O) H              set vision 3 + random max-vision
+ E" L" r5 l5 c# M4 V% S                set wealth  wealth + Wealth-inherited-mid]
- w' S3 A) ~/ ~% e7 W& P0 |: O) k            [ set color green 5 m0 f- E' r+ I
              set age 0
9 l& B% h/ I7 V! J+ N, T              face one-of neighbors4
4 B& {/ ~# Z; g: l              set life-expectancy life-expectancy-min +
5 G# M% |. Y* [/ a2 e) e. h7 \7 G( [                        random life-expectancy-max  + 2
' j! M, G" R! F% l              set metabolism 2 + random metabolism-up
0 M9 S( |& Y* `* }, M3 M              set wealth metabolism + random 304 H- J1 H3 K: {" F! C. J
              set vision 3 + random max-vision7 ^) n8 E' ^' q. t# Q7 k6 z
              set wealth  wealth + Wealth-inherited-up ] ] 8 F( \; K: t9 I2 I% W; n* e5 [
9 \& `1 v+ n3 {
end
/ V) B# }: d1 uto set-initial-turtle-vars-wealth3 P2 T/ f/ t1 e7 x6 s
let max-wealth max [wealth] of turtles/ }4 a: [7 @# `! O; R
          set age 0
. f8 `& L* q/ J( K& M          face one-of neighbors4 0 v) G+ E7 _: _- X( N
          set life-expectancy life-expectancy-min +
: h! b9 V) a; }                        random life-expectancy-max
4 a; p& E& T* A. A- z% z          set metabolism 1 + random metabolism-up: h. V6 p4 \' i' C1 ]: c. V, r8 B
          set wealth metabolism + random 30/ f) w! c! O" w( A6 M
          set vision 1 + random max-vision
: _4 J! Q9 f) x+ O3 F8 fend
) S  T! C/ l9 n5 u/ oto redistribution
* S8 q  @& K3 l4 [( i6 H: Jlet max-wealth max [wealth] of turtles! J* d5 t% L1 ~. {: A3 {
let min-wealth min [wealth] of turtles9 F0 ~/ o, C' _, L& X
if (wealth <= max-wealth / 3)8 E8 n% v0 @1 j" G) P' j, v9 }: `
[set wealth  wealth + Low-income-protection ]
5 B7 |3 G" j, R( X5 Fend
; ?. R% |! r; o0 I          8 z6 q6 {* p# H' U/ c$ r; F) @/ f" S
to recolor-turtles- T' ?  f. H8 N! F0 E3 }
  let max-wealth max [wealth] of turtles
$ v: q* c2 Q" v  ask turtles" Z- s4 J9 W9 ^0 p% Y# j) ^8 e
   [ ifelse (wealth <= max-wealth / 3)5 B/ S+ y  n% p6 n9 a4 T2 m) U
        [ set color red ]" p0 c# k  |9 N9 ]
        [ ifelse (wealth <= (max-wealth * 2 / 3))
8 C4 t! [8 A- I, J$ u" ^2 V            [ set color yellow ]9 v% A( L0 n7 N% _. S
            [ set color green ] ] ]5 ?  Z; \7 F, h. r: l
ask turtles [ifelse show-wealth?* q) {; A; M% k  L2 b! W
    [ set label wealth ]
0 g$ J% |' ?2 t6 s/ B7 h" R    [ set label "" ]]
' m: L0 T, n% a# `( }* Jend
' \+ |  T2 B! u. g; g& m
2 ~( ^0 |/ R; Dto go, |* Z$ y" I8 v" q- S' E6 T
  ask turtles7 m' Z: v% a0 q7 j: G
    [ turn-towards-grain ]  8 ]" e) [1 o( W3 f! J( y
  harvest
1 R* a5 P0 H- s( g$ l3 z  ask turtles
  R' O  d5 M9 h+ _1 q" K1 _5 G    [ move-eat-age-die ]
+ o. T' C7 m& P/ H( `  recolor-turtles: U2 H7 w  Q; O3 k
  if ticks mod grain-growth-interval = 0
9 e- W! }# z, P( f0 M    [ ask patches [ grow-grain ] ]* {: l: q5 i3 E/ a
     F& s8 V8 N) I5 s( n6 s
  if ticks mod 11 = 0
  o3 l. l+ A6 W# C8 T( Y  [ask turtles5 J2 e: ~8 b  I' q! X
  [ redistribution ]]
0 G- @, ?9 t) L( a  if ticks mod 5 = 03 r+ ]% }/ x. r" z" X- x8 t2 N8 k
   [ask turtles
4 r) m0 B( K: `& @  [ visions ]]
4 c7 A0 J9 h5 v) h$ P) W7 c  tick0 H/ Z5 Q  E# w6 f" [" I% M1 M% F* d
  update-plots& `3 f; z0 B8 K
end
- g) ]% i8 u# U& ~to visions9 I. g" c2 Z5 q3 Q- @
set vision vision + 1 ; u; N% k3 _" ~& U1 m
end
& G5 f7 C5 J, G7 X( @8 O9 [6 c7 J
% V* b* q' {- h! l8 r
, E' X2 j3 a& X" J( v
to turn-towards-grain  
/ |% B/ a# x5 u; O  set heading 0
: R; U- {7 |- N5 C% {  let best-direction 0
9 @* h+ x5 G$ r: d2 }  let best-amount grain-ahead' S: K( ~9 r% X7 l5 t2 S
  set heading 90
/ N" V9 ?  x) A  if (grain-ahead > best-amount)7 m9 t1 E# L9 X, P- t; }
    [ set best-direction 90
- o- \2 ?0 B# l, X7 E* Y      set best-amount grain-ahead ]  \$ G7 R9 v. x9 @# D
  set heading 180
2 ], `4 L. H& v! K8 w  if (grain-ahead > best-amount)6 y& Q) q; x! W
    [ set best-direction 180
) I: n: L) f5 x+ f" z0 k      set best-amount grain-ahead ]* s% k; p) B# |* C: [
  set heading 270) B4 F/ b) {' |& _$ d% x+ C
  if (grain-ahead > best-amount)
/ B. n! l: {+ Q    [ set best-direction 270# h0 H8 `2 h/ v- S$ X" ~# K
      set best-amount grain-ahead ]0 J/ B: p; Q+ E+ G5 o
  set heading best-direction( Z6 ?$ T% w5 k3 N
end$ ~/ O3 L6 a7 @- D" `
& w; j5 N9 R5 ^/ ~$ Q$ i9 h: M  l

1 L) x' i. X5 d8 q- Q4 W! Y) Jto-report grain-ahead  
! e/ B: {9 a1 s6 a* T  let total 0
! p/ v! w+ X5 e) N6 l' `  let how-far 1. ^) ]" B8 f# v9 c5 O
  repeat vision
1 O, k/ @" U7 D$ `    [ set total total + [grain-here] of patch-ahead how-far/ q4 _' \1 S0 U! V" [& r
      set how-far how-far + 1 ]7 G6 [9 e! q- v* t  ~- h( P
  report total
+ f! @& o" Q5 }' V* S  B: ~" p7 Eend: j& W2 z. Q3 d9 X0 O: @9 N; |
7 H; R* X  v4 r- j' U. F) M: s* K1 Q
to grow-grain ) b% x1 x- k$ z) `# E
  if (grain-here < max-grain-here)9 M2 K: V% L: l, j8 j
    [ set grain-here grain-here + num-grain-grown
, w7 R4 g5 @( f7 G! C" S) O0 n      if (grain-here > max-grain-here)
& t0 ~/ y. o. u9 F  W$ `8 ]        [ set grain-here max-grain-here ]
6 b. X9 z- {' `      recolor-patch ]3 R; }' D3 ?7 V7 c
end
6 Y2 q  W' S1 G) nto harvest( w: N* }1 M+ p1 p. y9 B
  ask turtles
9 [  q7 J& @* O9 I& g3 Z    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]! T1 R, O3 X/ @( Q5 M! X5 w
  ask turtles' A. o) I' Z# F) F, u
    [ set grain-here 04 u. C' q5 K. \8 F3 L
      recolor-patch ]% n; U& v& m- H+ j& j- |
  6 h' ~% V( K; P- _# c8 v/ `9 g
end4 ?- U, I- v+ q% I7 D4 [

5 a+ ^" K- y% K6 c! |to move-eat-age-die  * `) D) O& O; l) V7 k1 l
  fd 1" H; b5 W# Z  d4 U" l
  set wealth (wealth - metabolism)2 t# h* q* R. Y! d
    set age (age + 1)- g( p6 t' Z0 G/ [6 Y. L
  if (age >= life-expectancy)
# Z/ _/ n3 i" p6 g' \3 ~    [ set-initial-turtle-vars-age ]$ Y, T$ k: H7 _+ J+ Y3 g5 k
  if (wealth < 0)1 E* d$ n4 G5 u% a/ g; p
    [ set-initial-turtle-vars-wealth ]
( e: S9 ~% {( ~3 p    6 W- o* B) `0 z+ O+ Z0 a3 w, i' Y/ F
end
! I' A3 m- a. J( S" B
" A+ \% n+ O/ p9 v/ j1 g! H( ]6 h) t5 p7 k) T
to setup-plots3 c0 m2 z+ j" z, w' U9 ?
  set-current-plot "Class Plot"8 b8 P9 G( P2 c
  set-plot-y-range 0 num-people- l9 I9 A3 Y9 a7 H2 @) m* G: Q
  set-current-plot "Class Histogram"/ m' T8 ]4 e# s+ V2 D5 B$ ~
  set-plot-y-range 0 num-people7 @; S" H" K* K4 m
end9 x0 k# e! U8 I4 z

7 Y2 G% C( N) ]& Ito update-plots6 \- ^' c; _% [: ?' p4 }9 S* ]& i# @
  update-class-plot& r' v; p4 `: |+ y) E, t& T
  update-class-histogram
6 |) B( S  |/ t* @% O0 |" j+ x; p  update-lorenz-and-gini-plots
; X; a2 g  ?# O% K3 [; Hend
* g& }3 {6 i  [+ `7 s: @
- S7 t: F: d1 fto update-class-plot, m. w8 I" G6 P' Y% c
  set-current-plot "Class Plot"
9 a9 @  r4 P/ s+ X  o  set-current-plot-pen "low"# F2 h+ S( m) F) H" }* d
  plot count turtles with [color = red]
5 C2 I2 j1 ^- k7 a& L  x  set-current-plot-pen "mid"; G$ B; e+ n; p
  plot count turtles with [color = yellow]
! S; V% J7 ]% o. _( H  set-current-plot-pen "up"- R: s( m2 O! f+ _: k# s) i
  plot count turtles with [color = green]9 r: E, o& e- w" |0 L$ h* M
end  ?1 z" F' j* G8 ~/ \( D! \
; Z0 ]; u; @6 }' h3 {6 o
to update-class-histogram! b1 B. S3 y0 g) I- n+ u  @
  set-current-plot "Class Histogram"+ Y/ t4 J8 h% f: J: A5 y
  plot-pen-reset  D9 i3 N3 X$ s, S6 c
  set-plot-pen-color red/ q# @- d8 x' m3 c% r) a
  plot count turtles with [color = red]
$ E8 d( v4 u  r  set-plot-pen-color yellow' R. R- n- N# g
  plot count turtles with [color = yellow]# i6 W" o" ]! M. ?
  set-plot-pen-color green
2 N0 J1 ]& @# n% V9 O  plot count turtles with [color = green]
. @+ @8 U+ R4 u, x- Gend1 n+ I0 l8 y& n  \: t
to update-lorenz-and-gini-plots
5 [( L, V1 _! E5 H, k' k* V6 [$ k: U  set-current-plot "Lorenz Curve"
2 J9 k" s) ~& Y  @  clear-plot' A/ v8 h! T" ^
% o+ s" J; P( Q+ x( O! a7 z( {& E& F9 ?* k
  set-current-plot-pen "equal"; C) t4 N& K% m
  plot 0
1 v1 x  A0 Z/ E" L  plot 100
+ _8 L% j& K  \' F9 }6 _- f
. P8 H6 m0 ]+ M- r7 q* _) M) j  set-current-plot-pen "lorenz"/ h- s  {: {$ m; T* [% p7 @/ H
  set-plot-pen-interval 100 / num-people& O; F0 F* M$ L
  plot 0' u+ [! a) b2 G1 V3 b/ n

# h! g  v; q0 P7 \" {" e& [  let sorted-wealths sort [wealth] of turtles
5 ?5 L( ^  g0 ], S* O  let total-wealth sum sorted-wealths
3 s* ?2 u1 w% u6 s- D6 |  let wealth-sum-so-far 09 g" m; q4 u: Z( g: z) L" t
  let index 0
9 u" b* m  N) R. u: v" r' t  let gini-index-reserve 0
3 B; a. h" g2 Z1 w2 D, g* N( L+ L* }  n
  repeat num-people [, q# T1 X) |7 N8 e& ~, w% w
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)# J2 ~/ D9 q1 z1 Y" L
    plot (wealth-sum-so-far / total-wealth) * 100
$ b. z$ I$ H. F4 K& q- J* Y; \    set index (index + 1)/ @# `9 B' U1 ]- q
    set gini-index-reserve# G4 e) m, [+ T* `
      gini-index-reserve +
. s" T$ n3 n; f& Q      (index / num-people) -! p" O7 H# R1 d
      (wealth-sum-so-far / total-wealth)  g9 ]3 m/ l- x# w8 ]
  ], q: Y8 l8 E3 x! y

& _6 W/ }& ]. M  set-current-plot "Gini-Index v. Time"
' G/ C3 b" B8 W3 a" K- M6 p  plot (gini-index-reserve / num-people) / area-of-equality-triangle
; `- a: D5 j  ~6 l: c- }5 zend
% k1 m  h  v5 e# @+ ]0 eto-report area-of-equality-triangle5 U, A- R9 I4 D( B. a6 D7 S: c
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
: R9 v1 \1 S: J+ iend
 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, 2026-3-17 02:51 , Processed in 0.017821 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