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: 6159|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
9 l6 H4 i1 ]+ _$ o) ~( D- kglobals
  S( G3 w& ~* Q; T1 C% G5 g. N[8 Y6 J$ g8 M6 q8 H  |9 _( {4 o
  max-grain    2 v' Z, N% f: z- _

* j4 ]" b! V( f8 N3 \( d1 W]; [! I' _% @% T8 e( t3 F
; Z. n- ]$ [! w% ^
patches-own
/ _$ D0 U/ e2 R% u& n2 w[8 Q2 }# v# F! a' Z! o
  grain-here      2 g/ c# u0 [1 k- I# R# M  v
  max-grain-here  " }/ @9 c! E  S2 s( u3 X3 Z
]& c3 D6 d; u% F4 l; h
( [' W" ?4 ^1 f6 V$ ?( ]. N
turtles-own& j# Q9 y* B/ f- M, [
[
( V/ q, N9 Z- Z4 g) V! w6 Z. ]( h8 O4 ~  age              
* g& J0 y) D& @& ^' c6 E  wealth         
$ c2 G$ S+ M, c# t: @  life-expectancy  
* s) {5 ?: D: j- w  metabolism      
) S! l% L9 o# t- ?+ F/ a% {: F  vision8 u' c0 I* Y/ h; s( P# _5 h
  inherited         
( ?  R' d! ~3 Q: F]3 X, ^: }. {' h& }5 m- c

7 z$ W6 i9 J0 e1 G$ p( f% Q! [9 N8 a9 R# u5 x" N  E
to setup
4 ?, }% A& `! |5 l7 d! z6 f6 N  ca" j( j- y; \4 u1 `* F4 f  L
  set max-grain 50$ r8 v, C5 p2 l7 k% c
  setup-patches
5 u6 T, L7 M" E7 `( s  setup-turtles7 @8 @1 S: N, I9 l- i6 j
  setup-plots
' C) a& Y5 u6 P! F7 q4 j6 u  update-plots
' ?* }& H' Z9 ^* u1 G+ _" c/ u( Dend
  d0 }: ~9 C% G0 q; c% G5 f& jto setup-patches
6 j6 ^- Y/ U# Q+ _  ask patches: j, I$ b3 V( A- V9 T, z/ S
    [ set max-grain-here 0, Q8 X2 W! O3 _* p! o- \" g
      if (random-float 100.0) <= percent-best-land
, A1 x+ V6 O" o        [ set max-grain-here max-grain
5 ^, q, B, V# H0 F  e2 d: I3 y          set grain-here max-grain-here ] ]4 D8 `8 y" {- F5 N& y4 c+ l; W
  repeat 5: |' \% C9 [- D& A
    [ ask patches with [max-grain-here != 0]; m9 b7 D2 }3 Z1 r+ j2 m
        [ set grain-here max-grain-here ]6 b" [7 p, L% U0 [
      diffuse grain-here 0.5 ]
; p# R) s, X6 F  s% p  repeat 10
# i  Z8 f8 G8 w; Z' c' x4 n/ A    [ diffuse grain-here 0.5]          / D' u& ?( J. r
  ask patches8 v& s' _2 z8 z* K5 M6 O: ^: _
    [ set grain-here floor grain-here    3 L) S  I) |8 U$ y& C
      set max-grain-here grain-here      ; V; s( L$ l% B. z
      recolor-patch ]9 ~8 ?5 Y# [" Y/ }
end
2 c0 i4 e1 E3 Cto recolor-patch  
/ l6 T8 U, S, x8 ^9 `. C; n  set pcolor scale-color sky grain-here 0 max-grain
' _# D& \- B- v9 T2 W6 }  c3 dend
- e4 R: w  M* s4 f9 I9 r( dto setup-turtles
" t: [9 O( Q" U! s4 ]( T% L! ~  set-default-shape turtles "person"
! N8 r' N6 k3 k2 F6 q, ^  crt num-people
! `7 w* I  @% r+ f! e. b    [ move-to one-of patches  
4 T5 m0 P1 n) D  b      set size 1.5  ! f5 {& |# X9 L0 o4 Z
      set-initial-turtle-vars-age: v+ n' U& n2 y+ u
      set-initial-turtle-vars-wealth
% k; r' i9 @# n# e  ~+ G9 `8 U      set age random life-expectancy ]
/ `) D; p' y8 ^5 V  c/ o: d  recolor-turtles
) P. [/ Q0 S( ^7 ?" }# ?  Uend5 e" H7 A& K2 a  M7 f& [- a
! }% S4 Z/ F4 i8 {% y4 Y: q0 d& u
to set-initial-turtle-vars-age
& w$ S6 ~7 m7 R' ]9 B( n: j let max-wealth max [wealth] of turtles& B& F7 W" p  V2 b( g: M( g  }1 ]
    $ [7 r. a" f$ V. V  y+ l
     ifelse (wealth <= max-wealth / 3)
3 ?" |  d/ ~6 I  |        [ set color red
5 M1 d9 O0 a# q: i7 [! L          set age 0
& U! ]' s8 a, z0 E$ l          face one-of neighbors4 - Z7 Y3 R7 T' T0 q6 r# R
          set life-expectancy life-expectancy-min +
* q9 |: V# ?" c3 N2 I" n/ S+ c                        random life-expectancy-max
: B! @! ?  f! I* R0 W. A; D          set metabolism random 1 + metabolism-low
, m# _7 ]9 R  h/ P6 c          set wealth metabolism + random 30' F7 N2 {) s; S7 r
          set vision 1 + random max-vision
! q* n, J3 _( g) a, v             set wealth  wealth +  Wealth-inherited-low ]
) M/ O# K" ^' G, {9 s        [ ifelse (wealth <= (max-wealth * 2 / 3))6 K3 q/ p: r, ^9 C
            [ set color yellow ' ?8 R# ]4 l9 q6 Q( _$ F
              set age 0% y& \, X6 B0 S4 v" }
              face one-of neighbors4 " C. ?# _, U# S
              set life-expectancy life-expectancy-min +
7 F/ C+ C( _0 Z3 V& N0 m! H                        random life-expectancy-max + 1
2 M+ F  f# G& j8 h              set metabolism  1 + random metabolism-mid
; D8 ?9 m" M  I2 h" _              set wealth metabolism + random 30
# l: X4 R) i& S3 Y9 |              set vision 3 + random max-vision
* u7 p: e4 ]/ U2 z                set wealth  wealth + Wealth-inherited-mid]2 L! k- a5 I, N0 h" l% i
            [ set color green
4 ^& {$ k1 x; s3 f5 U              set age 0
7 a8 @1 K. |( |: P! Q* i% f              face one-of neighbors4
* p) ~& r  J: j* ?, H6 A. O/ V              set life-expectancy life-expectancy-min +( V& [1 k1 q4 ?: G
                        random life-expectancy-max  + 2
+ Y: b9 T, i2 _6 v. e1 N% i              set metabolism 2 + random metabolism-up- c. W* x" n# a7 p0 Z- w6 W3 J+ A
              set wealth metabolism + random 30
2 J- B( `5 l1 u$ [1 ]              set vision 3 + random max-vision
* R& g$ |, s8 M+ b/ Q% G5 O              set wealth  wealth + Wealth-inherited-up ] ] ; U9 h5 L8 s4 V( _& {- t1 _0 N

: v0 U; ]" A+ B4 k. ]% b% Y1 Hend
  E  o; `5 j# z# m/ uto set-initial-turtle-vars-wealth) [( o# S$ H% {- c+ _4 W* i
let max-wealth max [wealth] of turtles
7 T$ ?! {3 m1 W( Q3 e6 S% M          set age 0
; P, U! k' E4 h; H/ d' a% U1 l          face one-of neighbors4 ) R  w4 u  B- L7 x5 u
          set life-expectancy life-expectancy-min +
- R7 t5 q6 _& n+ O6 G7 A                        random life-expectancy-max
& J  h; _# X+ s8 C          set metabolism 1 + random metabolism-up
5 j. o  b  s* U          set wealth metabolism + random 30
5 U$ Q" @. \& e% ^! e          set vision 1 + random max-vision 1 H9 R2 }2 u( P5 {9 f1 E4 D
end
  j: q+ P8 E+ M4 k. xto redistribution& n/ X4 y' l5 U! S+ S# q8 m7 G
let max-wealth max [wealth] of turtles# `9 g, ?0 R; H4 i9 F; _" H; C
let min-wealth min [wealth] of turtles3 N) x0 V9 q9 m( k3 }0 E
if (wealth <= max-wealth / 3)3 D# m  z$ E  k" ?, @3 h% }0 u
[set wealth  wealth + Low-income-protection ]
! e( Q: i9 r5 u8 ?end2 O3 j) N; O/ l2 I# ^6 q
          9 k) P" D# `* k' \- S2 o0 {2 T
to recolor-turtles
2 z: n* w8 X' ]  u# J/ S9 r& m  let max-wealth max [wealth] of turtles
- a9 v4 C. t3 g* `% d( C0 N* L  ask turtles; ^! ^  E: n& x" `( H, u% F& e
   [ ifelse (wealth <= max-wealth / 3)
( |& a1 g) Q) I& r        [ set color red ]
: l1 a% U( p9 X5 I        [ ifelse (wealth <= (max-wealth * 2 / 3))
% f' l' ]3 h2 W. g$ n/ L# _- H            [ set color yellow ]
/ K: ]: Z' w# A            [ set color green ] ] ]
) ?- e) ]" x! {5 v5 v, l ask turtles [ifelse show-wealth?/ F+ [. M& q3 q4 H
    [ set label wealth ]- y- l: p, a' J+ I4 w) j
    [ set label "" ]]' ]) N" R9 O: a+ b
end
+ o5 N; L! Y1 e- `+ d+ P/ J! e+ P" F; k0 e6 w: l, b7 k
to go/ K4 k" x0 E$ F0 x- P; y# [5 |- z+ T
  ask turtles
0 I/ V3 O8 X" }6 O2 o  B4 U) @    [ turn-towards-grain ]  
$ L- X! F/ M. A0 F  harvest
' o/ N- u5 Z$ V+ b0 x  ask turtles
2 {( M8 a  t* H5 n    [ move-eat-age-die ]- Q& D* s3 r5 a7 x% |1 A
  recolor-turtles
% M2 ?8 E! J5 {- I  if ticks mod grain-growth-interval = 0
4 d7 ?; }+ b; o0 x- O! g    [ ask patches [ grow-grain ] ]
# ^# m0 N' @. q2 C. T; ]9 S   
% u/ q% A% ]7 G6 h4 E+ y  if ticks mod 11 = 0
) C; Y: u, f. n8 p  [ask turtles
( }) f$ ^. ?( ^. B  [ redistribution ]]0 E7 o" k4 i; l" ^8 |5 s# n/ x
  if ticks mod 5 = 0/ X1 m5 p# b- g; Y7 J6 c
   [ask turtles
3 |* ?' Q# k1 e; q1 {' s  [ visions ]]9 b2 {0 N' h, r' K/ }
  tick( c* j% h9 K. s9 @/ u
  update-plots
. v( a! l( v4 [end
) U' V& P5 v$ E9 a0 U8 sto visions
! [5 p/ X) e" e/ p set vision vision + 1
# `& B- H8 @5 b1 j! @5 _end5 W+ ]4 Q# L/ h  F# J7 A

) r2 A, @2 B$ [+ \  B2 k' `+ {* E  L; f5 \& j$ \
4 o2 ?; F1 s0 _
to turn-towards-grain  
! r6 [' H5 G+ o% |. q! C# c2 x: Z  set heading 0* c7 F- r( z3 D$ H. S7 A
  let best-direction 05 z, W' i/ w0 a" s8 L# {( _6 P, J
  let best-amount grain-ahead
5 F) C7 Y9 Z( [$ K4 h4 D6 l$ l; r7 U  set heading 90
" w& ^2 l$ I2 ?  if (grain-ahead > best-amount)1 N4 \) [) T  v* L/ P5 f
    [ set best-direction 90( A: a+ ^; T9 Z: R5 Q
      set best-amount grain-ahead ]/ O2 F! o% Z5 I+ ^. h* R
  set heading 180' O' C- ^4 T' d3 I2 ]! B3 F
  if (grain-ahead > best-amount)
) s: r& I" e7 x& q8 }    [ set best-direction 180
3 c8 ^; d" k! \      set best-amount grain-ahead ]
: K' h* Q9 N3 R6 Q  set heading 2709 l( ?+ E1 t" k" f
  if (grain-ahead > best-amount)
0 s: J& u% d5 g0 T+ Y1 M0 [- R    [ set best-direction 2704 D0 t5 ~! z2 ?+ k. C6 N
      set best-amount grain-ahead ]0 W- f8 m0 F% c3 ~; p
  set heading best-direction8 O. F# b: T7 E$ m  l) s
end
- Q, x# {2 W5 b- m7 y4 I( |0 r1 G- m) g6 N; p: O& |) W. @6 s
: \  d$ Z  |( S6 m. I
to-report grain-ahead  
' k1 z* z  z5 v. I1 L+ @, k  let total 0
) |* _$ J2 X% v- T; L/ v+ e6 Q% x  let how-far 19 l% A( h4 C. D- L1 Q
  repeat vision
) u  H; G6 S4 u    [ set total total + [grain-here] of patch-ahead how-far
1 B$ [+ i* c  u9 K      set how-far how-far + 1 ]
7 q6 W# r$ w* k  ?  report total+ h9 e& U- t) c( r8 z
end. \7 F$ k8 V% q8 Q1 B) f5 p' p* ]
7 d$ Z, G& w# a" E) Z9 A, {8 h
to grow-grain
1 y) s( o% u2 A+ l  if (grain-here < max-grain-here)
- z5 P7 @+ W7 U. V& Z; q    [ set grain-here grain-here + num-grain-grown# \$ @% K7 \; G( q0 E4 g0 i+ J# y& S
      if (grain-here > max-grain-here) % j! n. b9 x# z1 R) n" J# j
        [ set grain-here max-grain-here ]( ~4 a0 }4 w% p* X
      recolor-patch ]
3 k: @) g9 l) }! S8 rend( a; T: i: J* y0 n6 e' k
to harvest0 u6 P1 K0 a2 F" {1 S. P  j9 v" @
  ask turtles! e2 Z" ^% B8 x: v0 V2 L
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
+ d: e4 X3 @4 M2 X  ask turtles3 k' S4 e) L) M" U& Z3 W
    [ set grain-here 0! Z) l2 N+ r7 b
      recolor-patch ]
  K3 Z; C# N" i$ t# w3 \  % c5 w  o0 i5 I! L! A/ @; z, k1 P
end) t" @9 ?0 ?" H. o: ?( F/ l. k
* {4 H& a& n5 Q# ^" N( Z* G$ F5 M
to move-eat-age-die  
; A0 A2 v  D! C  fd 1
, r6 ^% Z$ w, y2 o  set wealth (wealth - metabolism)
9 j9 D) i: m+ X2 j    set age (age + 1)
" F. r" w. h9 X( b' {$ @  if (age >= life-expectancy)4 b5 W& n" y* A: N' `
    [ set-initial-turtle-vars-age ]
4 G8 L/ D  O: n. Z3 @& P( F  if (wealth < 0)
) l( ?9 ^; ^% T" `" w# J5 B    [ set-initial-turtle-vars-wealth ]
" t$ g( z# O( B    ( }' {( ^: R6 v! Z6 K
end
% h' z# K* y* c5 ~9 ~6 E( i
2 K3 D6 @) ~5 ?; K
( ]7 V' x7 ?9 e! Jto setup-plots
1 l: V: q) C) P: f( N  set-current-plot "Class Plot"
! ~; ?4 \, R/ Z. k# V. _4 f, p  set-plot-y-range 0 num-people5 {7 K$ G$ ?- Z
  set-current-plot "Class Histogram"
7 z- Y( L( b3 @  ^% {( i3 x; L' e  set-plot-y-range 0 num-people
% |2 b* R8 F% R1 }8 Tend
. o; Z% L: }/ i+ v, A# X& x, d8 v  x# r: o" z
to update-plots
* F$ p3 L( s3 @% Y  update-class-plot
# S: G% w; W# B5 N  update-class-histogram
" p# b$ ^. o2 X! E  update-lorenz-and-gini-plots
7 v, g( f5 s" c- t* y0 V% ]( B; a" d- Eend
! E4 Z/ A: I  g5 G& P& ~" W2 t2 ~1 X% {. t: v/ H( R+ K. x1 x! |% [
to update-class-plot- a  ?3 d3 h" \0 b
  set-current-plot "Class Plot"
* @6 d+ R  i* Z$ B$ o* _' Q  set-current-plot-pen "low"
" q/ n' a5 e) V- L- B5 U  plot count turtles with [color = red]
" R# V* o8 X3 k3 s8 K  set-current-plot-pen "mid"
* S: b+ J9 l+ ~' `$ l8 V  plot count turtles with [color = yellow]* V& B/ i2 [# H
  set-current-plot-pen "up"
2 f4 n" T# v6 G" F  plot count turtles with [color = green]% I7 e$ W, S# j; U7 l
end* R3 _: {! L& y' W# S: k* y
" g6 u6 C( [( V; s, u% t
to update-class-histogram- y" Y3 `% x. x, F) p5 e* }+ f  V: H
  set-current-plot "Class Histogram"# T1 r# ~1 n/ S& O6 y) f+ _+ Z
  plot-pen-reset: }/ B- f& K2 b4 U9 d, R! X% ]$ S
  set-plot-pen-color red
" u) u1 h7 w, U- i' j* M  plot count turtles with [color = red]* D, g1 A( r/ X
  set-plot-pen-color yellow
6 ?7 f4 E" t! x% c3 B7 I# o  plot count turtles with [color = yellow]
! F6 R) H% z+ [  G- ]+ S# [0 b) z  set-plot-pen-color green
/ V  O+ A+ W# k0 t( K  plot count turtles with [color = green]
  A9 {8 E( E: x" Dend
: s2 F5 z$ D: @( X& n& ^3 ^. Hto update-lorenz-and-gini-plots: `. X, C4 i; \& u) S; h) \
  set-current-plot "Lorenz Curve"
+ R. o. i9 J/ ~  D1 N1 @, L  clear-plot
6 n: D0 m6 |7 m3 t$ L4 T0 F+ p0 h
6 \& e" D8 d+ N3 [, A1 V  set-current-plot-pen "equal"
* a" U$ o; O3 Z* e& }  plot 0
% o% C$ J3 O  ]3 Y: p  plot 100
8 k, l2 V% j. e( x
  I% T" {+ B- n7 S" J! ]( @- i  set-current-plot-pen "lorenz"
# g2 k( l8 M; Z: a5 B. r  set-plot-pen-interval 100 / num-people2 J) B3 E8 G4 \4 `4 S' s9 i# a
  plot 0
2 ?5 v5 q7 m1 t1 r9 c8 p5 H; f1 H' {& a" x  l- X5 U: z
  let sorted-wealths sort [wealth] of turtles/ P: G5 M/ ~/ P: c0 N8 o" G& E
  let total-wealth sum sorted-wealths9 J6 u" p2 h0 V8 f$ c( [
  let wealth-sum-so-far 01 y3 d9 ]+ o6 p4 |4 k# ~
  let index 0
& v( G$ q, n, H/ j! w3 E  let gini-index-reserve 0
% N" p$ R; }# S' \, a8 i# s/ J& N7 C# K6 O- r' G/ j* N9 O8 `2 u
  repeat num-people [2 ~9 d: B+ m3 [! I% O9 [% _2 f
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)6 t. T# M8 t# m3 |
    plot (wealth-sum-so-far / total-wealth) * 1001 W6 K, I) M7 b# J# I2 F& a- ?
    set index (index + 1)
* }/ e1 R  @5 j) o3 z, Y* u( G. P. {    set gini-index-reserve
# |8 _& x9 a9 V  U      gini-index-reserve +
+ u. r. O2 z. V1 F! J  u5 z      (index / num-people) -
, m1 \$ m8 N- \      (wealth-sum-so-far / total-wealth)
6 {8 p1 E$ K0 C8 G& V  ], q% m2 g- j$ _# Q! K9 @  A
0 D# |" N1 e' y2 Z
  set-current-plot "Gini-Index v. Time"
' T3 d( T) O+ J' M* ^  plot (gini-index-reserve / num-people) / area-of-equality-triangle
: v. J  z' o, e+ a% T  Y5 j1 M3 l: send% l- c8 e9 g/ j+ A( k3 L/ h
to-report area-of-equality-triangle& N( K: `2 M) m. S: X
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
' H- Z' ]) k, kend
 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, 2025-6-21 12:33 , Processed in 0.014931 second(s), 14 queries .

Powered by Discuz! X3.4 Licensed

© 2001-2017 Comsenz Inc.

快速回复 返回顶部 返回列表