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: 4819|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
1 ~' \' l% D  }6 Qglobals/ _, J$ ^8 {$ O6 u' U5 V
[3 _* @; V7 k, s  m) Q
  max-grain   
* [! }) t5 ~$ r6 [1 o/ [! m8 V% C2 R% [* n, B' k# m
]  \3 e5 }, U  I

% _  t" H. p) ]- Zpatches-own. g# x; i- ]8 D
[5 ?# L& M3 z3 ~2 E1 |- `4 {8 h
  grain-here      6 ~& o# N% l/ V4 Z
  max-grain-here  
6 s1 G9 K2 C! e* r. l]
' U# {* \$ M1 y+ o; a1 N8 e- o8 {. s7 g/ b/ D6 d
turtles-own
; ?, i& P6 y1 v: c7 D. Q[7 G# x0 Y, t/ \; C- Q( U
  age              
% I: c1 d8 Q, B0 q  wealth         
  ~! Y) x; C/ R! @6 G  life-expectancy  
( b" j) x+ b+ Z% m9 h6 n$ ^: r  metabolism      
3 I8 \& k" X7 M9 U$ j. n3 f  vision
4 t. d3 S  |) A, I6 `( [" k9 s  inherited         ' ^* q/ z* H% ~
]4 }1 I. o- M9 b

7 n* P. H& e- D$ L1 U0 P0 \3 G' n
7 Y9 o4 g8 N  O; S9 P3 yto setup) A0 F1 z& q  @/ {
  ca
* f) I6 X+ z2 O( J, o: x& M; u& ]  set max-grain 50" k6 e$ ~4 V2 e% I( P2 M
  setup-patches  B: ~2 J% ~0 |
  setup-turtles
* [( E, ]2 J2 d5 b) m  setup-plots
5 j: t' g- R+ U( L% X' D  update-plots6 O1 i0 d0 x$ B4 R
end1 i3 _7 f7 l5 Z6 z. H# {
to setup-patches2 v' C3 B. i5 v
  ask patches  w8 ^: s. ?* K# w" d3 }! I+ v
    [ set max-grain-here 0% X1 D/ A: ?8 s, g. j7 [
      if (random-float 100.0) <= percent-best-land
* Y: \# ?" X. u/ ~- |+ N% C        [ set max-grain-here max-grain1 D$ j0 I( }: c* e' i4 H
          set grain-here max-grain-here ] ]9 [/ i5 [4 H: X# s/ M4 p" V- z
  repeat 5
8 k. h' Y, z: Y* ~    [ ask patches with [max-grain-here != 0]
" N$ A9 H6 d! k. d  F" c& B        [ set grain-here max-grain-here ]
  p- {& ~1 m, F3 K; ~2 @      diffuse grain-here 0.5 ]' |6 N8 \# X5 E) G# t
  repeat 10
8 B' e" H+ X. W    [ diffuse grain-here 0.5]         
) r: I& s% I' l4 J  ask patches7 E7 i# w+ Y% |4 B. e0 L" q- m
    [ set grain-here floor grain-here    3 v1 l  J# S2 _% {2 S1 C
      set max-grain-here grain-here      
+ Q+ |& |  ~" k* V      recolor-patch ]( h0 l1 _! `* t) I, N
end
! k# p! r/ d/ u6 ?' u1 sto recolor-patch  
) F' g( ?0 Z# i& f- s; F  b  set pcolor scale-color sky grain-here 0 max-grain
& Y6 p: M9 c" {end" d( t* h, [# v- E; ~- [
to setup-turtles" R+ W3 l# l, f) R) l2 P3 w% Q& j
  set-default-shape turtles "person"
7 I  O$ N* w7 {  B) S" m  crt num-people
/ O/ v2 D, |" _; l    [ move-to one-of patches  4 N- w/ Y+ v6 G
      set size 1.5  6 s' ~/ y, }( m8 q0 x# p
      set-initial-turtle-vars-age/ v2 U6 S/ W' |6 O* [3 H
      set-initial-turtle-vars-wealth; F0 v8 ]$ _) W1 t. z$ G4 C
      set age random life-expectancy ]
4 G. j$ g( @% f! l9 M" f( |  recolor-turtles
3 o# ~" i* y9 }8 e( h# Wend
# m; c4 Q. V6 v; q/ Z* `$ c
6 h4 O! ?2 d; ?to set-initial-turtle-vars-age. ]+ A* H) @, A& q5 `; c
let max-wealth max [wealth] of turtles
6 F* h/ \0 o. w   
' K) k! J$ H9 d" i$ Y/ `     ifelse (wealth <= max-wealth / 3)/ L4 Y* C* K4 }2 k# u" N- R% k
        [ set color red
9 a7 X/ H6 |! m          set age 0# F- U/ _* \, y  b  p6 @& g8 K
          face one-of neighbors4 ! ^. [8 b2 C  z+ F! d/ X
          set life-expectancy life-expectancy-min +- o- q; z, ]" y, N: N4 [
                        random life-expectancy-max
) _3 h& S3 R  e4 y1 v          set metabolism random 1 + metabolism-low, Y. e2 c! z: N  W4 x' C
          set wealth metabolism + random 30
+ u/ W' O# D) T          set vision 1 + random max-vision
6 S4 m; K0 |0 ~             set wealth  wealth +  Wealth-inherited-low ]
* w3 ?& e$ d1 b( h5 c% |        [ ifelse (wealth <= (max-wealth * 2 / 3))
; r% w0 p% h7 a& p            [ set color yellow ( J: I5 a& s( I' Y
              set age 0; y! u$ ~! z! N6 H5 a( T7 a
              face one-of neighbors4
# j9 t; e3 C+ W; \1 n! N; {' a              set life-expectancy life-expectancy-min +
' U! M. e; G# w                        random life-expectancy-max + 17 u0 c- J2 C. W
              set metabolism  1 + random metabolism-mid" |; o# }2 |3 I( t% y
              set wealth metabolism + random 300 l, s/ s: u9 {8 J& O0 S
              set vision 3 + random max-vision* i- Q( s' }' c
                set wealth  wealth + Wealth-inherited-mid]
3 E. v6 D: ~. O+ f& p8 \5 F            [ set color green & z% F3 R( T+ V
              set age 0
; X' R3 T1 ^/ S: A) Z              face one-of neighbors4
% S! U4 y% ^0 g8 U+ F+ b              set life-expectancy life-expectancy-min +
; {: h  T/ \' Q% {! t: G                        random life-expectancy-max  + 2
( M: A0 ^/ C1 q5 Y8 E              set metabolism 2 + random metabolism-up4 l6 ^/ o+ ~: e3 x5 e  ?5 J
              set wealth metabolism + random 30; v4 G* B' o1 M" Q1 b# L# y0 w' w2 |4 W
              set vision 3 + random max-vision
) D) ?- |9 d$ Z/ G' a6 \/ `              set wealth  wealth + Wealth-inherited-up ] ]
: U. L, U  I( D  C- Q- _ . V1 q) t0 T9 b1 C9 e4 z: q
end: |' V+ w) ?1 a
to set-initial-turtle-vars-wealth0 V: Z* [) C! C( h4 k
let max-wealth max [wealth] of turtles7 [2 D" Y$ s  b9 _
          set age 0
0 O# P* k. ^1 d$ @' O5 W          face one-of neighbors4
+ g3 f+ U+ k, {5 G, M          set life-expectancy life-expectancy-min +! i0 ~( d$ \5 i  z
                        random life-expectancy-max
+ R% M8 H' d6 y4 L          set metabolism 1 + random metabolism-up
" M% N  ?4 m' z, s( B          set wealth metabolism + random 30- B+ U5 W" i- n8 p+ Z
          set vision 1 + random max-vision
4 D! i5 S  `. E! Mend# ~% @  X3 `# w' M! N/ s
to redistribution
) R, p& ?  K3 ^3 G& `let max-wealth max [wealth] of turtles
. S7 p$ K9 L7 {% G; nlet min-wealth min [wealth] of turtles5 W% H4 L$ s- P/ r2 X+ k
if (wealth <= max-wealth / 3), y9 G* |' }7 M! L4 Y: ^' R9 [4 K: F
[set wealth  wealth + Low-income-protection ]
* }, b5 v! d6 _% f  vend
8 S. g' F3 Q- m% w7 k         
& n0 H( T, Q7 x# Hto recolor-turtles. L) d3 P" l0 L% F- W. |5 S3 A/ j
  let max-wealth max [wealth] of turtles5 ~+ r6 H8 E. O* Q3 {  H& O4 l% j2 g
  ask turtles8 g) T' k: f) r& i
   [ ifelse (wealth <= max-wealth / 3)
0 c% T/ T: P) T) ?& F& b        [ set color red ]
' O% |7 M8 }& s: w% d4 u        [ ifelse (wealth <= (max-wealth * 2 / 3))
# i: Q/ ?9 @8 f6 Y7 E" ^# ~            [ set color yellow ]
: b' q: I: u4 a% Z2 x* N6 u4 D% m            [ set color green ] ] ]1 f7 |' W* W; g
ask turtles [ifelse show-wealth?
4 H! d9 x; \, S  P    [ set label wealth ]
2 W* @& B( h! C. ^    [ set label "" ]]2 X* i: M( @* a1 {; m3 B, w
end- U  [8 `9 q  A( ?% B+ Y) c

6 M, E6 e- u& i# T% F; X1 Uto go3 C, F' ~" K7 g0 r8 x8 B
  ask turtles
/ ~. @: A% x5 D0 _+ n7 ~    [ turn-towards-grain ]  / M4 S7 R5 }) Z& T9 _+ c1 B
  harvest+ W( {1 L# D) c2 I, T4 y
  ask turtles: U8 ]! \; P0 V4 e
    [ move-eat-age-die ], @5 G" L$ U' r. C
  recolor-turtles
; F( ~: I1 r2 d+ _9 Z$ P  if ticks mod grain-growth-interval = 0
# A  F; t( x. G1 ^# k    [ ask patches [ grow-grain ] ]
9 e0 ?5 L% ?( A2 h8 ?     g+ _- v  P7 r  F  k% Z
  if ticks mod 11 = 0, w% p. }+ b- Q( ^) p4 x+ l
  [ask turtles
4 `3 \  o- F6 q6 D! D* Q* A  [ redistribution ]]
( e+ w/ e" [- @: M  if ticks mod 5 = 07 k/ b2 P& D! Q8 p! q% H) C' Q2 h
   [ask turtles* z  ?7 H& a: k! W0 Y
  [ visions ]]
: d/ j' W7 o6 r- b; s9 m4 l# d  tick9 T5 U% h& o3 O) J0 ?) N: B
  update-plots
, C2 F/ W- v! q! |$ h3 ^end
" d2 g1 M7 {: oto visions1 M- Y  L$ M/ u  f9 n, i; F0 z# A( N
set vision vision + 1 * w5 o' M( T2 l4 N3 ?+ n
end- o% a& ?/ c5 g. b1 {
2 G" c! Z9 r- }2 k- ^

7 k; `+ A9 V! I) u; T4 q" [0 u
+ S' H, e. @1 A9 q7 t1 ]to turn-towards-grain  
' d; P: P8 Q8 k; h2 V  set heading 0' R6 \" z9 J7 I" ~* [
  let best-direction 0
' ~0 X; `- s" ]2 o, \1 y; w3 N  let best-amount grain-ahead
! R, E7 |; [" V$ k! N  set heading 90, R/ M. `3 m- V5 K
  if (grain-ahead > best-amount)  d+ y$ ^2 H" R* G
    [ set best-direction 90
$ D: \- ~, F" n; M      set best-amount grain-ahead ]
0 D. r7 A4 ?1 c5 R; G8 c! P  set heading 180, j8 {  M) B8 n& V- |3 L, R- f; P, [
  if (grain-ahead > best-amount)  c% v/ v: D( {* K, C
    [ set best-direction 180
/ ?; i: O; j/ A' _! u' B* Z      set best-amount grain-ahead ]: m1 N/ n1 R1 H3 p
  set heading 270
5 l' T, Y( e+ \! }% H5 q6 |! V  if (grain-ahead > best-amount)  N2 u% H6 `; W7 ]
    [ set best-direction 270
/ u0 U+ g* x7 E% o# m5 \      set best-amount grain-ahead ]
# z& q0 {* L) d( A: C# u; x9 j4 y  set heading best-direction
+ H/ U' z  L0 A7 n6 Yend3 z, q+ ?( @# S# m
9 v! w. H2 W2 {1 `
' T& \/ t# y% V4 t
to-report grain-ahead  
- c# [: E( `" A, h" A3 x. |# m: p  let total 0
$ ^: S1 z7 q) j8 [  let how-far 1! a: W0 _7 Q4 G; T. _0 l  H7 Z
  repeat vision
0 E& [* [; `: _; J) y    [ set total total + [grain-here] of patch-ahead how-far# b$ W) q: l, r$ w! Y) l% W
      set how-far how-far + 1 ]) J( T. @' Y4 y
  report total
  w% H: l& Z- H6 f4 q  Wend+ _; d# i6 }1 ?7 P

; g$ f. }! a% ^! c; q( jto grow-grain
8 V+ g5 A8 h( q  if (grain-here < max-grain-here)
0 f6 d  y' {. N! G9 H, m$ s+ p    [ set grain-here grain-here + num-grain-grown
- ^: Y) I3 Y# E      if (grain-here > max-grain-here)
* i0 M0 x  k1 Z* V4 B7 j( N        [ set grain-here max-grain-here ]" e8 ~8 J" ~0 y* ~# `" `
      recolor-patch ]
. N# j# o0 d0 `- ^- w. W% d) s* uend" U8 l3 g$ l& q7 C0 g! f
to harvest
" T  b* D2 W" y& u# D, P8 @  ask turtles7 @$ ?6 g( ]0 b: z4 n& g7 y* Y6 L5 h
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]0 A  ~/ p* N" g5 e  `, X
  ask turtles
4 @2 G6 z) n3 N6 x% H    [ set grain-here 0
' d' r: ]! [/ ~& b) ~3 ^8 M6 J* [      recolor-patch ]$ t" P2 C: x. S
  0 g7 N1 q. t% w4 Q
end( V) n  t) H5 Z6 f& X

' K, y5 b+ t6 B- cto move-eat-age-die  
  A) s7 Q, r' J, i' m+ L4 }! ]2 `$ U+ [  fd 1% M" E+ r" j& m3 U
  set wealth (wealth - metabolism). o) ]# O( J" @
    set age (age + 1)
1 X0 f8 l: L: e  if (age >= life-expectancy)' |6 H  h6 c" L9 Y! Q
    [ set-initial-turtle-vars-age ]
$ q  [: ~7 d9 C$ T) c3 d' |3 G  if (wealth < 0)$ [" G5 x: c/ J) P) n
    [ set-initial-turtle-vars-wealth ]
6 Q+ G2 m* C  J/ g6 ~" \( e    1 ?9 Y  W( m& L; j3 W
end1 k7 b4 O0 _/ m# d

) ~) U0 m! u8 E$ b
: B3 h4 h9 T! f* {to setup-plots8 h& Z8 @. F. f; f
  set-current-plot "Class Plot"  P+ ^3 k# a5 G: |
  set-plot-y-range 0 num-people
. {  J2 r7 d& C- j" e/ E  set-current-plot "Class Histogram"* m0 D4 _! _+ P# n( U( z
  set-plot-y-range 0 num-people8 L9 G6 H) U% }" a9 G
end! M: {: @' d( `" D2 [
* Q4 F+ [0 t) I$ T
to update-plots. o) J+ e6 a- d  w8 K
  update-class-plot
2 @8 t9 u$ l! X1 K  update-class-histogram* j$ O. B1 A9 w* b0 f4 l
  update-lorenz-and-gini-plots
, o" _$ g& K4 F, Tend
. N2 G# h2 x$ T! E5 x: d& a/ C$ D' N' r& x+ n( o
to update-class-plot
4 m0 {" G- u' ~+ T: K' b9 J, G+ _/ _  set-current-plot "Class Plot"
1 t2 b/ V+ X+ M8 H/ g1 i- K) _$ k  set-current-plot-pen "low"
+ w" A$ R$ m& v+ c0 f1 @$ l9 A( G" b  plot count turtles with [color = red]5 y# T. T1 r4 _0 o& o
  set-current-plot-pen "mid"
1 U  C# _. l- N3 y$ b  plot count turtles with [color = yellow]
8 o9 l0 g8 k$ R& t; ~, t% h8 W  set-current-plot-pen "up"
$ S7 a/ f; }8 p  plot count turtles with [color = green]) @6 i- I; K( R# Q. t+ o
end8 p( \$ X( \4 w# n. x/ r7 a
. c7 F& N+ U2 d7 r4 v( \6 _: q! ~
to update-class-histogram
9 s- [5 z: i3 |0 M  set-current-plot "Class Histogram"
3 ~, X4 v% d) w' n7 K  plot-pen-reset
  M8 w+ ]5 c$ C) n; ?0 f+ i  set-plot-pen-color red
$ \% s8 D0 \0 i+ \1 K  plot count turtles with [color = red]( Z  G) m  y3 N! f
  set-plot-pen-color yellow
( j; e( z5 g" L8 I  plot count turtles with [color = yellow]6 P7 j. E4 j* D* |, `/ r* X4 C4 U
  set-plot-pen-color green
1 _7 r0 h, `: ~# u! U: v; s( n" S* _+ {  plot count turtles with [color = green]
) y7 d2 ?  u, z; k# e. o+ |! i' y6 [end
+ U( Z8 h" C* K9 f# N. Wto update-lorenz-and-gini-plots- R4 {$ ~. I0 e( j8 d
  set-current-plot "Lorenz Curve"2 J4 g7 u) a2 o* Z( i) B/ O/ I
  clear-plot
+ q; D3 S& r  h% P
' V1 b' u% F, T  set-current-plot-pen "equal"
* J4 C  x' h0 {  K) A2 u  plot 0# o0 X- G, f' N4 i/ J- t
  plot 1009 |- R* ~( L% h, j! F
1 k6 V6 Y# [  J1 e6 f
  set-current-plot-pen "lorenz"
( b! J6 w) {4 \5 e6 d6 y1 u* F; {  set-plot-pen-interval 100 / num-people! }- D* P; T. l1 N+ o3 d
  plot 0
6 Q% j% v; t* L
' r3 U3 V0 b: S( {2 a3 k  let sorted-wealths sort [wealth] of turtles' a7 k' c) F9 `' P5 ]6 L
  let total-wealth sum sorted-wealths
. c6 ^& g" W/ _% J- d; a3 B+ B  let wealth-sum-so-far 0
+ B* |# N; D' S  let index 0
& O7 z1 U8 P" f/ B; Q5 [* Q# |  let gini-index-reserve 0) s/ d1 o7 K2 C" H- e0 h8 F
5 H+ U- I; q2 m! a3 i
  repeat num-people [
# B% B) k8 ^; t0 i. c% ^( ^    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)% O+ o' b0 e( d5 G9 t/ q
    plot (wealth-sum-so-far / total-wealth) * 100' V" m7 v* w  s* ]9 z) G
    set index (index + 1)
4 i& o/ _! ]7 K$ Q. Z    set gini-index-reserve( y- A' n5 k6 m3 M) [
      gini-index-reserve +
, r% s8 l' ]* c4 J      (index / num-people) -! e9 A# f: F* w! A: S2 b
      (wealth-sum-so-far / total-wealth)# b% |/ q2 N& h
  ]
. w! W+ }  E- G  u4 g
' Z5 ?% i7 j# u9 K/ x  set-current-plot "Gini-Index v. Time"
1 `" _" D- \3 Y4 k  plot (gini-index-reserve / num-people) / area-of-equality-triangle
  e/ G- |  d1 }$ f# ?end, b& p6 M( C- g0 P" e
to-report area-of-equality-triangle% O, E3 Z7 c( h4 s5 Z3 d
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)5 M! I  t. @; b) k# |
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, 2024-5-16 07:24 , Processed in 0.014995 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