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: 7932|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 ~6 V, ^% _( R9 D0 {globals
4 |& X  S6 }1 g[
* q6 X" Y2 p  f9 o" R+ k3 g# W' g  max-grain    ' e, c5 e% Z6 Y$ K+ g) \
: n4 O) Z9 _; Y# p& K* n5 Q2 T
]
. }- ]. D; b' o" Q& r
. v% p0 e" w4 b9 R5 o& Cpatches-own: ]' x( M. U- ~5 U) n3 q0 v
[
+ G& @- e' s  L- Z( E* l  grain-here      9 j- [2 D3 v+ D0 b1 G5 x
  max-grain-here  
) @$ F9 x5 C7 o5 v]* S1 s! D2 m2 z9 L" n

9 O1 j& w- E, a( X. P2 Vturtles-own# j4 e' A- S7 U! T( a: H9 C# w
[
( E: {8 y, f! ]# l5 V  age              
0 M+ R$ ~/ |' c7 o$ ]! c  wealth         
6 N( E* \0 F6 Y% T! ?  life-expectancy  + j0 g* M9 A. N  u
  metabolism      
$ u: O' C- ^1 @- ^# @. X  vision
2 z2 e- ?- I. q  inherited         
! p: k' C, j3 p  E+ ?]
/ F4 O6 R: Y& X& e
0 O: a5 n6 [: _; N) R' {& ~  @5 m+ O0 b2 q0 J! X$ Z3 f! c
to setup
7 D  ^9 ^; M5 l+ B5 I  ca
: T4 y7 C* q! i+ \2 N/ z  set max-grain 50: {$ V) q$ y. s2 C) w
  setup-patches
, d  O% q2 U5 w5 w4 S  setup-turtles7 v3 H) X" F% d
  setup-plots
9 g) u* F4 \7 _1 @- k  update-plots5 X/ c- n& I/ N* v( W: M
end3 K1 M" z' i6 N! d  [1 b: E
to setup-patches% ~9 Z8 ^: L/ ^! h$ t
  ask patches8 M3 c7 b8 v  o! X, b3 S
    [ set max-grain-here 0
& z4 q0 _. _/ W+ Q2 d3 O; v      if (random-float 100.0) <= percent-best-land
" Y. Y0 W7 z8 ^7 W( q2 p& t        [ set max-grain-here max-grain
4 x+ g* m" M. s$ g/ u1 o          set grain-here max-grain-here ] ]
7 A" |8 t" `3 D0 s# L3 V  repeat 5
& U) T5 G5 [( P6 {) k7 y5 j! K    [ ask patches with [max-grain-here != 0]
) @- ]0 ^: w  g( `4 r        [ set grain-here max-grain-here ]( P3 H7 d8 I; U: f; z- ~4 ^
      diffuse grain-here 0.5 ]
* h9 E+ S. I- \9 p: t$ |  repeat 10
" Z7 T2 p  X5 g! V. Q' n; E- G    [ diffuse grain-here 0.5]         
+ _- [+ r) b! K. O, }' u8 \2 M  ask patches
6 l4 M  E: t! n+ E4 {/ K3 c; o8 _0 u    [ set grain-here floor grain-here   
* w( S) p  X4 i! ~1 n; a+ h      set max-grain-here grain-here      
- e! w" S" C4 v. ]3 ?      recolor-patch ]* f6 X0 h0 M: @- `4 {
end% Q# R8 |" u" I
to recolor-patch  
' @" A! Y) G2 D* N9 `8 r  set pcolor scale-color sky grain-here 0 max-grain
- J2 x3 s: \/ p' X. fend3 h; F* d/ p% F
to setup-turtles* Z- j4 h: m; Z9 `' Q
  set-default-shape turtles "person"3 S8 `% L; W' C  @1 ^
  crt num-people
. R  w1 p7 x6 E$ [8 F    [ move-to one-of patches  
# w* r! d# f; v! u; a      set size 1.5  
" ]: @" S; O2 Q5 e7 m+ R) r3 u! G      set-initial-turtle-vars-age
4 P7 i& t6 d* x, |2 I* v4 q6 a4 c      set-initial-turtle-vars-wealth  I3 }6 \5 }% @4 u2 @2 L
      set age random life-expectancy ]
+ K6 z  W; G$ y% d0 `/ ?  recolor-turtles0 i+ x( z% @& p, V8 L* \4 u. q: W% l
end
9 t) {8 a4 {2 S# ?! T
+ i8 k1 Y! i; a9 @0 Kto set-initial-turtle-vars-age4 M5 T6 o* T5 Z
let max-wealth max [wealth] of turtles
9 j% s( i! g# \! U    ) \( n' M3 ~7 |( B% e' t
     ifelse (wealth <= max-wealth / 3)
  L2 p) F3 p1 l( F5 K- f        [ set color red 1 c9 U6 u( f4 m5 H: w6 L5 t
          set age 0
. s7 @- Y  {# p4 Y, E; V          face one-of neighbors4
" z$ R  {6 B: ]5 t2 d          set life-expectancy life-expectancy-min +  \/ a/ E, k$ Y6 p8 o: R
                        random life-expectancy-max
8 I6 H! t: ]& l          set metabolism random 1 + metabolism-low- K3 D5 h0 L8 y
          set wealth metabolism + random 30& [) A6 r& |( u  R# v" L
          set vision 1 + random max-vision
4 ~- h% Z1 w& j             set wealth  wealth +  Wealth-inherited-low ]8 |- G' m$ j$ R5 Y' O; s* N3 |" {
        [ ifelse (wealth <= (max-wealth * 2 / 3))
" p. x7 M  I+ V( |$ ?0 ~3 z            [ set color yellow
7 L; x9 I$ O! T7 O# J; X              set age 01 q: ~# `( f$ \2 z3 Z5 m9 K
              face one-of neighbors4 5 }2 M6 u. @1 O0 }) _0 y
              set life-expectancy life-expectancy-min +
4 T  B: c4 g( K% Q: T( K4 W! z* n                        random life-expectancy-max + 1
$ Q" n$ ]9 P0 u" e: `              set metabolism  1 + random metabolism-mid* F" F5 b' d+ ?$ u3 j' W( H( V
              set wealth metabolism + random 301 v: U% S" n) H" x$ c7 h$ d4 U9 t9 [
              set vision 3 + random max-vision
* @5 U1 }1 u7 S! m                set wealth  wealth + Wealth-inherited-mid]& [: b4 U( Z" J
            [ set color green
8 h3 U5 u9 F9 W1 d5 k              set age 0! i0 K" ?- G9 l% e7 F
              face one-of neighbors4
9 p6 v7 q" P1 b3 o6 p              set life-expectancy life-expectancy-min +5 c( d4 y2 F2 ?# z8 `
                        random life-expectancy-max  + 2
2 `# M/ G: }! i/ E( _( P' H3 V& w2 ?              set metabolism 2 + random metabolism-up* F2 u# ]  ~; @/ Q
              set wealth metabolism + random 30
2 y& {% O  I- W: o( \5 T- q              set vision 3 + random max-vision
5 Q) D9 O) I. c1 j; A4 D, w              set wealth  wealth + Wealth-inherited-up ] ] # i8 ~2 G! b# s! t* W/ |  |( `
3 d& l) \$ t: P* `0 ~5 _" u2 W  N
end
1 s5 L; R1 W( R0 y" ?to set-initial-turtle-vars-wealth4 m& a6 D" ^# a! t# K
let max-wealth max [wealth] of turtles" J8 e& U' ]2 s/ T+ }1 _9 a% U* W
          set age 0- s  l& v4 e3 A+ P
          face one-of neighbors4 4 t5 M7 Z& O. H9 e
          set life-expectancy life-expectancy-min +
' d7 M8 a$ r. f& y                        random life-expectancy-max
/ f+ M" _3 U# t$ B! |% K3 X7 V          set metabolism 1 + random metabolism-up3 C. P" Q* C8 a0 U) ^" w5 ^  F
          set wealth metabolism + random 30/ W% Q8 J. y4 C7 \" T
          set vision 1 + random max-vision : i6 H  `' u/ _
end
1 U6 r- Q: I8 U" D$ [to redistribution
9 E0 r& q- V" d$ o& ?1 T% ^: Nlet max-wealth max [wealth] of turtles$ G5 b; I5 B" |5 m0 c; N- I
let min-wealth min [wealth] of turtles$ }  g4 ]0 a- l1 }! j
if (wealth <= max-wealth / 3)
3 p8 y  r: M) O4 |, h$ m0 M1 K [set wealth  wealth + Low-income-protection ], s9 W. {6 G+ m* q( k
end
4 d% Y0 i( p- a# T. X          ! @: K# N, @7 J4 {1 l# [* N
to recolor-turtles
/ ]. d( _, g* j  ?& d  let max-wealth max [wealth] of turtles
( E: ^+ p: `. c  ask turtles  Q% |. N) P9 r& {' p
   [ ifelse (wealth <= max-wealth / 3); k9 F7 l+ ]1 _( I6 m
        [ set color red ]% b. |- ?" S; ^: K9 V, e
        [ ifelse (wealth <= (max-wealth * 2 / 3))- Z' p/ j. z( F; d. y. `1 n
            [ set color yellow ]6 B5 K9 v- v! d0 m, b) R0 \* L
            [ set color green ] ] ]
" W, _+ e4 `" l* d4 |" p ask turtles [ifelse show-wealth?2 z; y) h! ?% R" N. T; Q* Y( ]
    [ set label wealth ]* z8 n- N% r/ L" C& Z% _6 T$ r8 S
    [ set label "" ]]0 I1 M8 H* [7 c6 V
end- i7 @: @: G+ ^6 b4 c; t# Q
8 M; }4 d9 y# d: C
to go: Q( e+ L6 @& O. l" p
  ask turtles. V. U: C( x" j- [* m$ t6 N
    [ turn-towards-grain ]  : w7 \8 J& K+ d: y( E$ D1 v
  harvest
1 {1 A  B6 G0 g' k- l  ask turtles
# ]8 S& q$ r, p& H    [ move-eat-age-die ]- Z( |* X9 {8 k/ J  G" k  A4 i/ V! W
  recolor-turtles
& j% b" u' N* ]; K# @0 R/ L- `2 ]% F. f  if ticks mod grain-growth-interval = 0+ _7 Z6 K4 ?4 Z% P* S7 a/ \! W) X
    [ ask patches [ grow-grain ] ]
2 x3 ?9 ~3 f3 R/ Z2 R     D( T" f- ?+ s5 x" |
  if ticks mod 11 = 0$ m, d/ L- d" Z' M- t0 u1 }, t
  [ask turtles1 ^0 B- a' i' }
  [ redistribution ]]. m* H, h" y5 Q: I9 L! g
  if ticks mod 5 = 0% @& K1 k/ P7 |/ l# V
   [ask turtles) A, H0 ^  O# N, O
  [ visions ]]
. J& }. U! P/ n4 a" y  tick6 i: @; @+ e/ p. R5 y
  update-plots
: e! ~' ^) s7 h7 i! o! G! L+ fend5 o$ H, c8 B+ ]5 f, Y! Q. T
to visions
  U% }# q$ k) b5 b set vision vision + 1 6 i+ [7 p% N( q" \
end
0 j# o5 @$ o) Y
2 O0 _' y9 i+ t% k/ A
! ]+ I, u: g* |8 B2 b; @* ^( s  w) @( H/ K, W! o) X7 }- y
to turn-towards-grain  
6 h+ t  g* t5 V4 Q3 W" S( R2 |  set heading 0
: U+ F- e# k! p# \* e5 H  let best-direction 02 \) H9 S3 r7 v! W
  let best-amount grain-ahead
5 P# q+ n! }; O4 {" {9 \  set heading 90
( b: @- d5 a4 \% f9 R5 P- @  if (grain-ahead > best-amount)
9 R4 J8 E) J# X7 j* O  V    [ set best-direction 90
# R8 d6 N) W: U5 q$ L, Y0 o" @      set best-amount grain-ahead ]- X4 M/ z. C! w0 d8 M' S& h
  set heading 1802 ~: W. m+ E6 H7 ]. V
  if (grain-ahead > best-amount)
: u% R+ e9 ^# j1 ?0 X# }( i    [ set best-direction 180( a7 `) b& j. g" `/ ~
      set best-amount grain-ahead ]% [7 u' U  C7 k( I
  set heading 270
6 Y" b  T# m: r- X  if (grain-ahead > best-amount)0 V$ Y; T/ _, K& [
    [ set best-direction 270: Q* P, I9 I9 n. K% f3 [0 j
      set best-amount grain-ahead ]
8 H9 P5 K9 q5 X2 f  set heading best-direction1 b0 n# l5 |, \/ F6 I6 e2 b5 G% J3 r, [
end
9 f0 R# V( y% P6 M8 Z4 a
# ^* Q+ U: K/ O" Q& ?9 V
, o8 Z& u3 X3 h7 u- f/ [6 p- sto-report grain-ahead  
' F! U& c0 L( \2 N% c/ [  let total 0! f4 [! Q5 @% }( g' r9 t3 Q% f
  let how-far 1
& R2 C8 U( W* j: |  repeat vision% _% Y7 w9 z' h( ?  s3 S* c
    [ set total total + [grain-here] of patch-ahead how-far
& t* s3 K$ \& ]9 a% J7 _& \      set how-far how-far + 1 ]
- h/ B! o. `6 ^" W5 E  report total
7 W) A& k, L6 mend6 R" E" @) ~( i
8 e. p; q* z/ o
to grow-grain 1 M' d% {* X1 `3 t% Y+ j: n  _
  if (grain-here < max-grain-here)4 l( I6 ^) `, k
    [ set grain-here grain-here + num-grain-grown
$ `: U! O& Z, ?9 b( E# p      if (grain-here > max-grain-here) ; r% ^3 X/ `* S# p3 ?# W+ r, ^" e
        [ set grain-here max-grain-here ]  _7 X$ R. B: Y6 O
      recolor-patch ]
6 G4 q0 w# f6 W$ a3 [end! C5 _3 s: d4 W8 y% j
to harvest8 N5 l! ?0 M- I" ?; p1 D
  ask turtles7 h" ]0 m$ L. Q! ]
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
2 y4 i1 {0 j2 ^* a2 G8 K' p3 e0 }% n& S  ask turtles8 K+ {( {+ I; ]# u
    [ set grain-here 0
8 b1 v/ L+ y4 D5 D      recolor-patch ]
+ u1 r  c% g1 W. K; S: V  O* d  
* u1 O/ ]2 d! s1 cend1 d9 `% B% v6 g% y

2 N. L/ j- F" nto move-eat-age-die  8 t, N/ a, R; F$ J
  fd 1
! q) `2 e5 o0 b- _  set wealth (wealth - metabolism)/ ]8 _5 [0 [0 p: o" d1 v1 G1 t
    set age (age + 1)9 ]; l5 h1 O1 f# ~7 y4 t9 b
  if (age >= life-expectancy)( s6 p+ \( B6 g8 Y+ Z2 M) X0 O9 N
    [ set-initial-turtle-vars-age ]
4 @2 z/ S% ~: R' |. c  if (wealth < 0)4 Y. J7 o/ ?) C$ v% x8 b
    [ set-initial-turtle-vars-wealth ]
4 d8 J0 U; L% |# G: z- W5 n( A9 c! C    ; A9 {2 W, H9 _+ W2 N. u
end
/ r; W7 F3 v- X! Y
( ~7 Z( B; @% M/ L5 x! Q4 A7 f6 a
% X$ b0 C- O5 l; L$ D+ J7 `to setup-plots
9 B5 @6 C/ x! K' ]  i2 ^1 D  set-current-plot "Class Plot"# {: {1 i- p+ U% G6 k& E: X) l
  set-plot-y-range 0 num-people  ]2 A' A! b; H) i% P, N
  set-current-plot "Class Histogram"/ U$ K& }4 G  T6 F' E+ h+ b# X
  set-plot-y-range 0 num-people
( Q$ X: p' t& Q. }3 i/ Yend& H2 T! ~0 K! L" }! K

7 d3 w, f8 g1 eto update-plots7 M# L; J% p: o4 s0 k
  update-class-plot" M/ w" h- ?! y7 m
  update-class-histogram- O) _2 T. V) n) g) h( d; ~
  update-lorenz-and-gini-plots: M! @! L, f8 a
end  G) X4 B+ K) P! D* y4 n* q
$ V+ ]: o5 V" F4 O  Y6 y6 H; M
to update-class-plot5 g6 O4 R. y- {% D- a& G0 f9 Q: V
  set-current-plot "Class Plot"1 [' t5 k  T( q2 y% U
  set-current-plot-pen "low"
* l" A: p/ L/ X: o) @0 r  plot count turtles with [color = red]
; V% o8 D3 R0 A: @  set-current-plot-pen "mid"
( ]1 ?- o( X& Y/ T& q4 q  plot count turtles with [color = yellow]6 K- {- m* A! Q1 J1 G, a! ~
  set-current-plot-pen "up"8 K/ w) _! B! E  b5 |  f! g: t& W8 {
  plot count turtles with [color = green]
5 v! v/ H# f1 oend  M! @. {! n8 q# `

1 `+ R4 R9 P) c, E; \8 i: ~to update-class-histogram6 ^2 Q* p1 Q1 a4 l
  set-current-plot "Class Histogram"
2 ~: r+ K. J7 S# }$ I  plot-pen-reset
5 T* Z' E0 |: V$ }, b( x( \' p. k  set-plot-pen-color red
' A9 ~$ w) c* p% u8 j' x' e1 r7 {  plot count turtles with [color = red]6 j, C) r3 r- a! P6 f* y  _
  set-plot-pen-color yellow) F# T, D! D- S" W  q' u
  plot count turtles with [color = yellow]
+ |7 F' P) v, W0 z9 e- ~  q( W  set-plot-pen-color green
# b3 j3 Q' Y+ R: c5 M! u: U  plot count turtles with [color = green]7 b8 |% E4 }: e1 f0 b4 o
end
2 y) K& X! }" V; t  hto update-lorenz-and-gini-plots' p' s  g5 e7 ?; F
  set-current-plot "Lorenz Curve"# `1 ?! k" \) W7 \2 r/ P; W4 k
  clear-plot( k, }. g6 F5 ]4 h  v

, }; ^8 {" D; G8 t; s. ~' _! ^4 j/ r  set-current-plot-pen "equal". X- j6 M6 Q, f8 Q
  plot 0
7 M. o8 V) o* Y  plot 100
3 I/ o- S' @! f! r
; `2 ]0 l  Z$ }0 Q1 k7 F; V7 \  set-current-plot-pen "lorenz"0 o3 t( L8 a. j! S1 l9 |
  set-plot-pen-interval 100 / num-people" c' f# p  c" K0 ]) E5 ?( @+ l  [
  plot 0! H7 ]5 L) ]! S( d1 x' @
5 [- ~; q: s) E5 o, D% W
  let sorted-wealths sort [wealth] of turtles4 {, B9 U+ \4 q: Z3 z- _; X8 f
  let total-wealth sum sorted-wealths' X" l4 ^! t  [) t& D3 k+ d+ l
  let wealth-sum-so-far 09 h5 Y# L3 R& g0 v- D8 b* F
  let index 0: t  f* A8 S, w1 U& @
  let gini-index-reserve 0
" _; l$ B  Z: [
( x- @8 v. R/ h$ X, E  h: m$ x0 w  repeat num-people [
/ q- v3 C* f0 k' V4 O    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)/ h4 |( Q) U9 v8 L: Q
    plot (wealth-sum-so-far / total-wealth) * 100# w; T- t* b: ^7 @8 F9 V2 k
    set index (index + 1)% G0 R; w4 c  L, s! {# {
    set gini-index-reserve" ^2 n/ m8 [4 K! r
      gini-index-reserve +
0 {/ @# h7 R9 Z4 T9 @      (index / num-people) -
, r3 w$ {" B/ k4 q0 A! j# \2 X      (wealth-sum-so-far / total-wealth)' t5 _+ c+ V, D/ E! {6 L+ i: O4 s
  ]
$ {4 ~) c4 B; {( _* a0 x; n0 {
2 m" s; a! O) z, Q" H. r* v8 c+ {  set-current-plot "Gini-Index v. Time"/ M0 W1 o" V- n1 ]
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
: `: I* y3 `0 e7 C; B) F) {! Yend
5 S6 a4 D5 S6 u* |to-report area-of-equality-triangle( s, ^4 K2 w$ O- P3 b3 _& d8 j
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
+ @: u( g! r3 f. ^1 h& j! @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, 2026-4-9 13:05 , Processed in 0.017402 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