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: 7153|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
8 q6 s) X& I  t5 o  j: t4 G8 Cglobals
7 B0 B0 |: s( B[
1 v" }# x$ U4 L% F, K. f  max-grain   
- ?1 g7 r2 O1 X. u3 P. n
! L4 k0 K  c0 l]
0 ^3 D% ^' w4 s) M$ c# s
0 {6 E& K( a/ q- S) Tpatches-own
/ d" ]2 w1 D. q' c& p, Q[
& b% P5 s0 Z/ \. _. r" \  grain-here      
0 T# v$ g, Q' S" x0 f  max-grain-here  
) Y" L; ^! J" B' J8 K5 N/ M]
9 M2 v. n8 R: k) |
% y" _0 F7 z7 I! @* R$ @turtles-own9 t6 }" b. g; D6 q7 N" l2 Z1 ^
[
* B* Q: U7 ~$ V  age              
# V1 R1 ^9 y3 E0 x; c4 y! P1 i0 u  wealth         6 P- H# l# n$ v0 J( N* ~6 ~' q
  life-expectancy  
5 F9 N5 _  @& @! |  metabolism      
" K1 C4 e; m5 m# ?1 \/ N  vision
6 T  O1 k" X. ^5 }  inherited         1 f5 [2 [' L& ^' D* g; n" t
]' P/ H" C- g  `6 S* E' f, `

" F; U) L& T) N: t* Z
( q* D* F/ F+ p4 i3 {to setup
, h2 u0 |+ N7 I  o  ca
, }8 W+ }3 Z2 t& G' K  set max-grain 507 i7 B2 e+ O) n
  setup-patches
( c9 j+ e9 @  u  a5 i( c  setup-turtles
6 b% x% G6 ]9 E% m- |" S  setup-plots
# e8 S: q. t1 i  update-plots
8 O* Y; K$ L+ N& Z/ B, c( t8 Wend" D! s9 W+ e4 ~  S, t
to setup-patches
* V! Y* o, j, v) H/ ^" E9 K  ask patches3 f0 g& f$ h% N9 H
    [ set max-grain-here 0
' e7 @2 }" F* c5 d      if (random-float 100.0) <= percent-best-land
2 M! K# U  U3 W: }* k1 E# n        [ set max-grain-here max-grain
( V* z% \+ a8 [% @& b          set grain-here max-grain-here ] ]2 n5 i9 w2 u% j5 }- Q2 \) u5 M
  repeat 5
3 H, P9 k* j+ L" w    [ ask patches with [max-grain-here != 0]
/ w* _! S: k, A1 h+ A        [ set grain-here max-grain-here ]/ f# [7 E5 {% g
      diffuse grain-here 0.5 ]% [% T0 I+ A. b" n+ ~
  repeat 10' _8 r! c* t+ T! }8 d
    [ diffuse grain-here 0.5]         
6 K9 o  O9 @3 }5 r7 R  c8 g* k7 }  ask patches
, ]. n9 p; B# D1 X8 P$ i: L/ v    [ set grain-here floor grain-here    ) q" C, K6 Q3 R
      set max-grain-here grain-here      4 z. Q& ^2 h) _8 @
      recolor-patch ]
& F5 q: Q+ v8 N' u& Rend
! e6 C5 t5 K9 M$ Qto recolor-patch  ( r2 J7 p4 C  ~) e2 W# m
  set pcolor scale-color sky grain-here 0 max-grain
% z, X$ p. D, H& f8 ~2 Bend5 y9 U0 I9 }6 E1 ?
to setup-turtles
3 ?% E0 T& c! e" O# K  set-default-shape turtles "person"
: V* X1 V4 w% v8 ?2 t  crt num-people
" m( g/ u6 L2 q* Y, d; V3 q    [ move-to one-of patches  5 y9 r5 b  \$ ~7 C, L. F
      set size 1.5  ' y6 [  r, \/ p% ~
      set-initial-turtle-vars-age
0 |( `' u8 a8 A* L7 R" a      set-initial-turtle-vars-wealth
5 I2 g0 T; U* v! O      set age random life-expectancy ], x; V4 `3 D6 W& z/ E
  recolor-turtles
: a" T% N1 N5 M' I" y; Nend/ {$ H) X' H3 d9 `; @$ j
& N1 v9 J2 u; ]- P
to set-initial-turtle-vars-age$ G3 c2 N  E( U
let max-wealth max [wealth] of turtles- \$ y% G4 P7 W, `
   
$ B5 v) T  G' o" W     ifelse (wealth <= max-wealth / 3)% x5 z) q/ T  U1 T( e
        [ set color red
9 ]8 Y; r$ i3 x! r: r' c: \          set age 0
: y# E# u: d& V0 t5 W' }          face one-of neighbors4 : o) t' {! r* F5 u4 h, |
          set life-expectancy life-expectancy-min +' ?( Z. {6 V$ j0 s8 G
                        random life-expectancy-max . v- M  j9 d2 W3 ?2 b) |' |4 ]4 d
          set metabolism random 1 + metabolism-low4 w5 v0 c  X% w7 r% M
          set wealth metabolism + random 309 U# H% ?5 w% _* O; h4 K
          set vision 1 + random max-vision
' C  u1 E" E" w1 u1 t) I" c             set wealth  wealth +  Wealth-inherited-low ]
$ L2 T* B+ ^& g+ i; U" Y0 b! \        [ ifelse (wealth <= (max-wealth * 2 / 3))
/ {5 f( O+ A# H6 m( n            [ set color yellow
  ?8 C- Y9 j: y( I! t              set age 0, t9 R2 T. S# s1 Q
              face one-of neighbors4 / z% l; r# H% ?0 v! H0 `
              set life-expectancy life-expectancy-min +$ M- c3 E  N* W% r/ G
                        random life-expectancy-max + 1
$ F7 k; A/ ~6 x- |2 a9 x; l- H              set metabolism  1 + random metabolism-mid
+ X- I1 T3 @, v8 J% @0 d* B0 ?              set wealth metabolism + random 30/ i2 J* K! `  W( m( k
              set vision 3 + random max-vision) m( [. H2 n3 O; y4 e( `# s
                set wealth  wealth + Wealth-inherited-mid]
7 J+ B( t, K. k4 x            [ set color green 8 Q6 W( L) C1 ^( l) s
              set age 0
% @! _1 t* A, X1 Y              face one-of neighbors4 / v. Y$ y' n3 g1 ?7 Y5 f) ~% G
              set life-expectancy life-expectancy-min +- x5 R. e, |6 J( G9 Q
                        random life-expectancy-max  + 23 G( H8 r2 g6 Q0 D
              set metabolism 2 + random metabolism-up
5 ~9 d4 m3 D* a6 @              set wealth metabolism + random 30/ N, g9 [4 d9 p- E
              set vision 3 + random max-vision
$ ^7 D$ n  F" o) w5 Q              set wealth  wealth + Wealth-inherited-up ] ]
' Q. u7 W1 `8 O
3 b3 E" ?+ m* [' d0 i- yend* N8 e6 a8 n4 n9 C! J/ o+ l: A3 @8 P
to set-initial-turtle-vars-wealth
$ o" L( d8 }; H/ k! }7 m let max-wealth max [wealth] of turtles2 @$ E5 ]/ t! l) k/ z# ?6 Q# P1 L
          set age 0
& n! H0 Y, Z1 q% C          face one-of neighbors4 0 b; l. {! X) Z% e, I$ u
          set life-expectancy life-expectancy-min +( n8 G( J; p4 n" n- D
                        random life-expectancy-max
0 i" P! v- I; n- W) V) t& h, `          set metabolism 1 + random metabolism-up
/ F) g+ O8 \6 u- b          set wealth metabolism + random 304 w: ~  _* o1 w
          set vision 1 + random max-vision ! Z0 u4 V9 i! q  Y3 H
end" n) J4 T( b! K$ B0 ]5 ?, B$ m
to redistribution
  \  I9 i7 O) ~) C0 Jlet max-wealth max [wealth] of turtles
, y8 h$ a  h  g: }  olet min-wealth min [wealth] of turtles
, G' ~, [! \- c2 X( H' Fif (wealth <= max-wealth / 3)
* n. d+ H: s0 R. r# y [set wealth  wealth + Low-income-protection ]
. K" s! \1 J8 b, x3 _6 f& jend
" C: J2 u. r1 \- ?* z7 q3 j" }* y; h         
7 s% y' D4 o8 k6 p. {to recolor-turtles
" s5 |/ g  W( L9 L) m, m3 p9 ^3 \  let max-wealth max [wealth] of turtles
& y' `& b( {5 A2 o- d/ s$ G. ]  ask turtles% U- |7 I) O1 U2 x" `) J, |
   [ ifelse (wealth <= max-wealth / 3), m6 M: _; g9 j! w+ i7 f) E
        [ set color red ]
3 E. N2 I* F8 Q2 \3 u. W        [ ifelse (wealth <= (max-wealth * 2 / 3))
/ `+ a, t3 f# F            [ set color yellow ]
* z# X; }+ t: g2 X3 |( ]! w            [ set color green ] ] ]. B' b  q/ J; Y) Z' n6 a+ `
ask turtles [ifelse show-wealth?+ E' y# b2 O$ `, P& U/ H1 j
    [ set label wealth ]# z1 e! i6 R2 c# ]) j' z
    [ set label "" ]]
# R+ o9 T" Q5 P4 e& Z* }end) m6 y# y- I7 @1 h
# x$ r% A7 q# z" p: n2 T6 G
to go
5 C7 G# a3 c/ P  ask turtles
7 F+ S* Y5 R) f7 ~' M" C4 A    [ turn-towards-grain ]  - k3 |" T4 M9 r" a
  harvest# K& Z9 i5 r/ }; |2 ?' b
  ask turtles
' |( d7 {, `7 G4 b# o8 p    [ move-eat-age-die ]0 S, i6 C8 {  _; F4 N) s; T( B
  recolor-turtles- v1 k& W& V; C: G( E
  if ticks mod grain-growth-interval = 04 M4 ]/ `0 z5 B6 _% z
    [ ask patches [ grow-grain ] ]
5 g0 P  W& p0 k- x   
9 I6 e- G2 a/ k  if ticks mod 11 = 0
; ^5 {' ]. h  {$ o  [ask turtles$ ~; l+ o; t& ?0 F
  [ redistribution ]]
9 r0 q" A! @! |  if ticks mod 5 = 0
8 b3 D5 Z/ I* p- ]9 P/ Y   [ask turtles- n% F" t* c9 S" l4 F/ L  C
  [ visions ]]
) ?! \3 G6 S# t( u% }  tick9 n& n3 b5 T# X' b( \; |, r( T
  update-plots  D" V# F) M/ Z  _0 O. I5 ?8 w* T
end
9 v( a& H0 R# _( K1 X+ Gto visions, f  D" _- e2 `, C$ f
set vision vision + 1
3 l2 ?+ f! O/ cend0 H" O" [( R/ _- u

$ k5 P/ E  I6 |: p. J! [8 u
) B! J+ n- o: [1 N3 ]
7 J8 w+ i) E( }* P% y+ ]to turn-towards-grain  7 ~( c* }# x: A8 U' n. |% G: Q
  set heading 0
# q7 _9 Q$ ^1 w" X6 J8 V  let best-direction 0; o0 W6 e. l, q" z/ X0 F$ T
  let best-amount grain-ahead( l) p2 C/ V8 y& ^
  set heading 901 x5 y' \. B& H
  if (grain-ahead > best-amount)
3 t5 L, D* I0 r5 Z. d- K2 }5 o    [ set best-direction 90
+ }3 j/ Q5 S! _" g! e      set best-amount grain-ahead ]
; c8 c7 ?) f8 _) g8 S. o6 y' H( }" @5 |  set heading 180) v6 J$ ]: N) I' J
  if (grain-ahead > best-amount)9 }: b( j3 r5 K7 M6 T
    [ set best-direction 1808 W1 e/ x/ E/ a5 w9 f- x. d
      set best-amount grain-ahead ]; Y5 r0 a, g" f* K
  set heading 270: d* b5 y( M5 {: {$ ?
  if (grain-ahead > best-amount)9 o! J* l$ F( X& a
    [ set best-direction 2700 \3 J5 N# c* w, Z9 d0 L1 t
      set best-amount grain-ahead ]1 M7 d# ]' n' [5 g; h
  set heading best-direction
! D4 ^: ^9 Q+ O: Z. n# aend
* E" s0 M9 A1 ?/ C+ F0 ~  k) u5 ?/ A" @
  x% Y4 E. |) @& d9 D
to-report grain-ahead  ! [+ W" P" V3 E  {
  let total 0
0 t7 I2 F( b0 H; m7 }  let how-far 11 @. Q# ]0 _+ [
  repeat vision
6 w$ D6 X/ s; j$ K; t, `    [ set total total + [grain-here] of patch-ahead how-far
$ D+ e7 v2 Q: \  ~- a' q. r      set how-far how-far + 1 ]
) P8 i# C7 `8 V* Y1 q( b9 d  report total
# S1 [* l, F% u! ~. cend
8 K" f: R- Q; T6 D' P! j9 j9 `4 S. s
to grow-grain ' i2 \6 |, I7 s" {  c% S
  if (grain-here < max-grain-here)" l) g2 S5 ]: u* H- V( B
    [ set grain-here grain-here + num-grain-grown3 J, ]; Z4 E2 e: L
      if (grain-here > max-grain-here)
+ r1 R- X$ V5 z7 E0 ^! n- K$ G        [ set grain-here max-grain-here ]
, b, X% }- Y- |7 ~& O      recolor-patch ]5 ?8 v/ q2 B' i1 G4 q# L, j) ]
end4 T1 H% j9 d7 j* _! M
to harvest  h' o, g" N2 Z4 ~# i9 G2 `5 g( y
  ask turtles
$ l/ X+ `' G9 O( z6 `    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
* @4 Z6 ]7 p$ A- \; w  ask turtles
+ S* }, |2 S. ]    [ set grain-here 0
1 I( M2 {1 Z$ l7 |! E      recolor-patch ]
) G) {& f7 D+ q1 T  5 V6 N# d& y! F
end! ]& y: L3 F5 n6 f

% F0 O6 K# A: mto move-eat-age-die  
5 a( _* m4 S* j: T& a  k  fd 1
/ @* e8 s; m( |# w5 M4 w  set wealth (wealth - metabolism)! s6 r6 K3 L$ L( m: _$ y$ Y
    set age (age + 1)
4 I. M2 Z. O" w: }7 A  if (age >= life-expectancy)
; n3 F3 o7 q3 g5 k$ M; P    [ set-initial-turtle-vars-age ]: G3 X- h. Z/ Z; n  c/ {$ f
  if (wealth < 0)) z' A" R+ D! m7 a
    [ set-initial-turtle-vars-wealth ]
6 x" L$ Q$ W5 z# e8 I4 f$ k- I- b   
- s" C3 o+ m4 I9 w; {end5 p5 @( U1 {0 d! j
3 [1 r6 n5 I  W$ Z
2 m/ {. t- M( a/ p; t. x
to setup-plots: ^; ]- P" ~2 n# t9 W
  set-current-plot "Class Plot"
  W, l8 Q) M) n9 ^5 |  set-plot-y-range 0 num-people1 A; O4 ?/ U, D) P5 \; M
  set-current-plot "Class Histogram"4 _* t9 a9 R# f6 h' m" R9 Y9 N2 V0 P' g
  set-plot-y-range 0 num-people
' B* O) A! f8 k( l  ^end7 o9 x. r- V& U; ]  Z: D$ A$ h

1 U# B& x( ^* K# G8 dto update-plots% i) z/ [: p" M3 ~4 V
  update-class-plot/ l/ s& \7 u- m
  update-class-histogram% `1 Y! F! h/ H. b/ P
  update-lorenz-and-gini-plots3 m5 q" x; Z) \9 |
end; T  H( W5 Q% _% J
1 j2 f% W3 `+ U& Z6 u" [
to update-class-plot' q) t! d3 W% X5 t/ o! B4 Y
  set-current-plot "Class Plot"
) B+ X( b5 w$ V$ K2 d  set-current-plot-pen "low"
& v; {/ t8 l" T3 Y! s; c3 p) c2 Y  plot count turtles with [color = red]8 c; q/ y% @' k' `8 C1 L) t( O$ y- _
  set-current-plot-pen "mid"' Z$ g- d% y& |( g# Z' m( B
  plot count turtles with [color = yellow]* ?! M" N' m$ C0 T1 z
  set-current-plot-pen "up": Z% ?1 g9 j# [; s( C2 ~9 U& i
  plot count turtles with [color = green]# s' p, _6 m4 z
end
# g& k9 t) H- |' t: B) c
8 n" a. h) D$ ^! _; m  [to update-class-histogram
9 d, l" i. t& K  set-current-plot "Class Histogram"
2 q! E  |. W5 k3 \" j+ p  plot-pen-reset5 I7 z" t' ?( }4 u6 s1 H$ H
  set-plot-pen-color red
( x6 S' J: z* M( R9 _  plot count turtles with [color = red]
9 ^# D2 B' \" [5 {  set-plot-pen-color yellow" n- A2 d1 N* O, q3 y7 n" F. z
  plot count turtles with [color = yellow]9 R: ^2 s  N5 K2 |8 N
  set-plot-pen-color green
" A8 v. l7 u. a% h4 A2 Z' T  plot count turtles with [color = green]
: |6 |' Q  ]2 [1 o6 Jend
1 [; Z7 n  s: q9 c2 q2 [$ Mto update-lorenz-and-gini-plots* S9 @  M) `& m6 {( a6 R
  set-current-plot "Lorenz Curve"
6 t+ n2 {" A4 g/ T  clear-plot$ J7 Z& d3 j; V0 c& {

0 X* v. B4 Q! v" N. M. B& [  set-current-plot-pen "equal"
+ I7 _0 @3 s7 g9 l4 A  plot 0
# V. a# x' V$ k  plot 1005 g, U8 C% E: @8 [  O! \

$ S6 _8 m6 Q; b9 |  set-current-plot-pen "lorenz") W) e( `4 }8 @$ F$ _& B
  set-plot-pen-interval 100 / num-people1 s9 E9 H! E: w7 P4 t) A3 k- `
  plot 0+ y# I1 y, c6 g& i& U4 }+ m, z7 f" r

. {! i& A% c7 N. Q: d* c& \. J  let sorted-wealths sort [wealth] of turtles
) Q" O7 a1 j' [  ], N) ?( t& U3 M  let total-wealth sum sorted-wealths1 R" v% W2 e5 l# a5 c
  let wealth-sum-so-far 0( R3 k9 M; Z9 h+ t, v( @" I. ^
  let index 0; Q) x* h% t$ Y8 e# z, G. U
  let gini-index-reserve 07 ^$ u7 r3 N& r" w5 R) _5 a8 {

( C7 h$ W4 t+ s5 j# ~" z9 T  repeat num-people [; A. C+ x: n: R
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)6 C. ^  P/ k, O1 r
    plot (wealth-sum-so-far / total-wealth) * 100$ R* ^& {7 c) Z' e
    set index (index + 1)
' F* w2 \8 T" y7 Y; D) Z" A    set gini-index-reserve
+ Y4 T* a& X& J2 b4 N3 X      gini-index-reserve +  E6 I0 P% F3 q1 W6 D
      (index / num-people) -
: G5 j0 m! m# i7 w% v- d" z      (wealth-sum-so-far / total-wealth)9 q/ n, v3 P$ b! h" t
  ]
: B$ I3 e( F% A0 E/ N" t8 N) z- P( N  m% v
  set-current-plot "Gini-Index v. Time") ?! ~$ @' A# S( e) `- l4 w
  plot (gini-index-reserve / num-people) / area-of-equality-triangle- d* I, F4 U2 L1 S
end* R! D2 W  [1 Z+ }/ D9 u& U
to-report area-of-equality-triangle
) z0 z( k- j2 L" B+ _& w  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)- [2 z  b3 R/ z. L
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, 2025-12-13 09:30 , Processed in 0.015623 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