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[悬赏] 求教:海龟的遗产传递问题

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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% B$ ?) \# E( j" C7 ?0 o5 `+ U* }2 }
globals. Z9 f9 B) p' {
[
3 ~  l; a0 W! K* G  max-grain    3 c, v6 }) b% E0 `& r7 r

4 C: s+ J( F: i' K1 K2 b8 i1 E0 b]
0 T  D) y, ?8 ^7 _9 t% g) y4 C& z4 s3 {$ M
patches-own/ P( r' Z" v5 }7 {" c6 J! {
[5 n8 s+ q% f; Q# l# z
  grain-here      : P% O% [1 v* H8 H( {: z7 Z8 u
  max-grain-here  5 L7 _5 p5 _  b1 n4 I
]
0 s: u# W$ W9 k9 s  U9 Q8 W; y, {' f* W8 C
turtles-own
# j/ ]* P' u1 ^7 o[8 v% K- K$ F) a$ H4 C: w5 ~$ |6 L. ]
  age              
# [2 L3 ~' T& p  wealth         . c2 [  w' E; {6 Q
  life-expectancy  
! Q& t: ~; D. e5 H4 u* z- Q  {% G  metabolism      
9 C$ L; e1 ?! C* @6 V  vision
: k5 ]$ \4 ]' a2 K# j3 k" q  inherited         
! U$ s- P$ n  v+ ?1 j  z- p]
5 e! A3 l2 A% p8 S! w1 J6 P& s" [9 k% q3 L0 o$ e: e: y

; O" X, M- k  O1 E0 A4 I5 Z, C0 Fto setup
5 v6 S) [( F" E7 E, V4 A9 y9 J  ca
$ q: Q7 N2 J6 s' q' S' S  set max-grain 50  g3 w0 t) ~9 e6 d, Z9 v0 f
  setup-patches
$ C$ ^0 {* h# S- ?1 S9 J  setup-turtles( ^5 R  n  g) h, X
  setup-plots$ [8 P2 j$ o4 w( p: M6 f( V' u5 q2 ?( t
  update-plots. o1 B, C/ H3 N/ N  z  `, q* V
end
! i* y  x/ s1 d1 K+ M2 q4 T, T- Ato setup-patches
5 G9 r- q, M$ a% @; t; [/ J  ask patches
  i5 z. [; C  V" H  t    [ set max-grain-here 0
" H7 S0 _7 F5 v* E5 L      if (random-float 100.0) <= percent-best-land! c8 {! E; G& r9 C9 f
        [ set max-grain-here max-grain
  h- j9 N$ @7 r$ c          set grain-here max-grain-here ] ]
0 I6 ]! L; k, m# ]; o  repeat 54 v8 A0 r# m2 J5 Q% A
    [ ask patches with [max-grain-here != 0]
" L1 p; s2 m. q        [ set grain-here max-grain-here ]( `9 f1 Z  r& L+ Z- l% B
      diffuse grain-here 0.5 ]& x1 d% L4 I3 f6 D0 S
  repeat 10! H, }' ^0 G% K2 a, q
    [ diffuse grain-here 0.5]          6 S" N% Y5 ^; ?
  ask patches
( ]4 D- x! P$ {! [4 a# n3 s    [ set grain-here floor grain-here    " f0 u3 U/ L1 }" }8 s1 A% q( D* }
      set max-grain-here grain-here      ; a( ?4 r2 w- D9 X3 ^. v
      recolor-patch ]& ?) I: ^# B8 N6 G1 M
end+ K) j' U, C9 y1 t& M
to recolor-patch  
5 z; t5 w: W, {# m9 ?- F  set pcolor scale-color sky grain-here 0 max-grain: P- O( ~8 a- C* ]( W
end1 v7 S/ t6 ?- H6 `
to setup-turtles
# t+ \& k; P' p# @; I4 p  set-default-shape turtles "person"
$ ^" ^: F! B) d: A/ e3 D  crt num-people
7 E2 N' A: h9 ]7 O! T7 U    [ move-to one-of patches  
- j* M& P; i  g) N$ Q3 y7 R/ O      set size 1.5  
( \6 N" y; a4 U$ t      set-initial-turtle-vars-age& |8 ?6 `+ \$ @, _& U+ |, U
      set-initial-turtle-vars-wealth
, ?8 I" S( x( o1 P  N' R" k      set age random life-expectancy ]( A. K% r) i6 j) G
  recolor-turtles
5 H2 k; I9 x& k9 \; \4 Send9 P  O* ?# f- q8 V) ~  }  P2 x
+ A- t3 O: N; P0 H
to set-initial-turtle-vars-age+ e' |& w8 f, ^9 J' H: t6 Q
let max-wealth max [wealth] of turtles( I! P$ G" o; x
   
$ J, H' F# Q2 r' I8 m5 ^. ~9 h     ifelse (wealth <= max-wealth / 3), A3 s+ H! J, O6 o6 g
        [ set color red % d) O3 l4 q4 l" l
          set age 0
2 f  X% s; Y$ p) i7 Q          face one-of neighbors4
  s, P6 p9 L  l  z, B# r: H$ H          set life-expectancy life-expectancy-min +
6 F, t$ y- m" F, p, Y/ d/ o( f                        random life-expectancy-max 0 M& J6 N; m6 F
          set metabolism random 1 + metabolism-low' ]4 Z/ c5 c( Y6 r
          set wealth metabolism + random 309 h- C; B" W; J
          set vision 1 + random max-vision
& x: K) D% I0 c, A* s4 k. e8 D: w             set wealth  wealth +  Wealth-inherited-low ]+ C6 t# F) @+ G  R0 }: r" R
        [ ifelse (wealth <= (max-wealth * 2 / 3))1 b. F4 a9 @6 w8 E3 C  g( {9 A7 E
            [ set color yellow
+ i  l. _7 z7 M7 I! I1 E              set age 0
9 M2 L% W" l, e+ n( F4 f              face one-of neighbors4 2 d$ e# Y& J7 O) d0 }
              set life-expectancy life-expectancy-min +
0 b; L6 g) W; ^) k- e# C                        random life-expectancy-max + 12 ]  x% a* C( ~! y: E1 R# k
              set metabolism  1 + random metabolism-mid
* ^/ F6 A2 V# q* E2 z+ W              set wealth metabolism + random 30
; C0 u5 S4 ]" E3 c              set vision 3 + random max-vision9 M+ e! i; Z1 M% e! w
                set wealth  wealth + Wealth-inherited-mid]: V$ {3 H" }7 d
            [ set color green - C/ X: c% w3 P: x8 I
              set age 00 r" d! j& I8 K
              face one-of neighbors4
: T) e- P, `6 L9 w5 K. m              set life-expectancy life-expectancy-min +
; X# D' G4 r- U; g                        random life-expectancy-max  + 2
; V8 E- j; e2 [1 O& h" p              set metabolism 2 + random metabolism-up& @0 |8 W7 B* m
              set wealth metabolism + random 30
# F- [0 [' J9 B; T& \* B4 @              set vision 3 + random max-vision
+ F$ y- O+ i5 V  S9 \" U* ~              set wealth  wealth + Wealth-inherited-up ] ]
& i! D9 d% U% G# W2 w % O8 a0 F/ q' B2 A7 i$ t. b" P* r
end
8 I; J+ M7 a, {- V+ T, eto set-initial-turtle-vars-wealth
5 J' ~! ?6 C, s' H" ?- V$ { let max-wealth max [wealth] of turtles( @8 N4 Z8 v# r" c" A0 H- r5 x
          set age 0
, G* @4 V0 r+ K$ s+ l          face one-of neighbors4
! H% y0 ?# A. ^* p5 c# [          set life-expectancy life-expectancy-min +
$ ?' I7 S% ]: q, k; H* e' u                        random life-expectancy-max + c# _- y+ f! |0 D
          set metabolism 1 + random metabolism-up& j2 f% t3 E7 h
          set wealth metabolism + random 30
1 }) W( M( g6 n) V& c          set vision 1 + random max-vision
6 c& g& X! e3 @. B' zend  `$ u( O- @7 Z
to redistribution
  e) t7 J: H2 @4 ^8 Blet max-wealth max [wealth] of turtles' D5 Z1 w+ R/ s$ n; y2 i
let min-wealth min [wealth] of turtles
1 i3 c; o$ ]- M: P8 M. T( Rif (wealth <= max-wealth / 3)" d) b4 O, h" C5 u! u/ \* u
[set wealth  wealth + Low-income-protection ]
7 ]( ~0 ?' v- |! r, d, i/ ^end+ Q9 E8 r7 _' ^7 j/ K1 x2 U
          " c8 D; }/ [' w* B; O, H, H% W' m" v/ U
to recolor-turtles5 s0 S9 q! S, u0 Y1 y
  let max-wealth max [wealth] of turtles* F! b5 h- v- F" K& D
  ask turtles
: ?, p  [' W+ C: e( q/ }) Q. t   [ ifelse (wealth <= max-wealth / 3)
  m7 f# p# D' h3 G        [ set color red ]9 }5 I1 X- y- o  v  w" K
        [ ifelse (wealth <= (max-wealth * 2 / 3))
% K1 ^( [0 N  D8 ]            [ set color yellow ]5 ^" L, j/ ]7 C1 r+ E! ]
            [ set color green ] ] ]" t9 }8 N( U1 b9 T
ask turtles [ifelse show-wealth?
3 c4 `* _- p: c3 T    [ set label wealth ]1 Y, I" D8 M5 Q+ a9 `, i
    [ set label "" ]]; I) [; c: y: Z
end' [! J4 p# \+ G" _
* w5 {7 ]0 e8 Z
to go
: j' N6 N; N% g) M: S4 `' u  ask turtles
6 \2 P+ S2 M: _! ?5 B    [ turn-towards-grain ]  ) Q) F8 o# [+ c* h( h
  harvest
$ {& K3 w5 t  q  ask turtles" l  q5 X! J$ h/ [8 e
    [ move-eat-age-die ]
5 f# |2 }1 r9 e, t+ u) x" y  c  recolor-turtles2 S- t# j8 E4 H$ r% N( B% N
  if ticks mod grain-growth-interval = 01 Z! q7 r1 b* u+ O3 S7 l
    [ ask patches [ grow-grain ] ]: Q6 I; I& H+ Z9 @! _
   
+ z) i2 ~8 z- i+ O$ L; H  if ticks mod 11 = 0
# G1 C: A6 c$ z" I4 w: {& O/ T/ K  [ask turtles' o5 y" O1 ^1 p7 \
  [ redistribution ]]
& `: l/ w' q8 X5 E. o. W% A  if ticks mod 5 = 0* G7 t5 P) J, D) C- U- R/ c
   [ask turtles
4 T- r5 v' p7 A* O  A) f4 u* A  [ visions ]]
# V! a" @7 g0 u) j2 ~# r: C  tick
3 e4 ?6 Z; C1 y3 |5 }" ]  update-plots
7 @3 L* s6 |/ Z- j0 Bend
0 [$ o3 e4 n* _to visions
. o# D( L9 o. k/ I set vision vision + 1 . ~! M. j% p$ a* C9 k
end: e3 ]% [; r% D$ v# Z3 l( V; g
' @+ B: ?9 h. C* l
% b5 o- g9 l% z4 Y7 l/ t

* l$ e$ l: @$ Zto turn-towards-grain  1 K4 t3 A) u9 {
  set heading 0
- r$ h3 |/ |" u: o9 k' ], i- l$ J  let best-direction 0
2 T4 ^, _( |: |# m  J. J  let best-amount grain-ahead
3 M$ ]# E7 F! S  set heading 90
) q7 }# t1 F! t, S4 d' v  if (grain-ahead > best-amount)
, w. c/ i4 |$ m/ A1 R    [ set best-direction 90, X/ T) _' A. k( u! {0 @) u
      set best-amount grain-ahead ]
' H% K" J4 I+ {. G5 z  set heading 180
0 n9 l! W8 S5 P( j* u1 z7 I  if (grain-ahead > best-amount)
% i' ^: m0 f- ^" i5 N- S; M    [ set best-direction 180
8 K+ V# o0 C$ }7 k, C" z      set best-amount grain-ahead ]
; g* T" d5 i( I+ {; B$ R  set heading 270" z: p3 q7 ^' F+ a, l, b" [2 K+ f0 k
  if (grain-ahead > best-amount)
6 m3 m! I6 G4 K, W$ _, }# U" `9 b    [ set best-direction 2709 G  ^2 u! }$ D6 ?0 p6 Q3 A
      set best-amount grain-ahead ]3 X) e% R9 I, I" o: f
  set heading best-direction
4 a) ?9 @1 B# V, y' ~# e4 zend4 f% i. I7 G4 W* r, U
! W- \  m! ~3 `$ V; y* i

5 W3 l9 H% P- @; ~  {to-report grain-ahead  * `! q+ X( R$ M0 N$ V6 }
  let total 0/ M7 M3 a  q! O8 y; u8 w
  let how-far 1
% {1 s' X2 Y. W# B8 Z, ^  repeat vision' s4 j. i) n5 S) D( ^8 D
    [ set total total + [grain-here] of patch-ahead how-far" q; U, N' A' }
      set how-far how-far + 1 ]
2 K/ n+ h, l5 O. B3 R  T- E  report total
3 F. h4 `8 G' `. ~3 Aend
9 C/ b) k! e) _* K9 V0 ?  T, r& z7 ]/ v- ~7 [
to grow-grain 6 \+ b6 e' Y: g% @4 }8 b/ I# i
  if (grain-here < max-grain-here)- x; {: }6 v, @* k6 r5 U) Q6 Q
    [ set grain-here grain-here + num-grain-grown
* O  w4 N) p. A3 L. s& _      if (grain-here > max-grain-here)
$ l6 q- j1 x3 Y9 w3 l8 E        [ set grain-here max-grain-here ]
  j$ n* J, t$ h, c0 |      recolor-patch ]! \$ R9 f) M8 u4 B( k
end% `7 V$ T; ?4 `5 U6 b8 J7 M
to harvest
$ H( O/ O# s8 {6 y# i# S  ask turtles
1 ]4 a8 Z4 d8 z9 s    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
9 b% C6 j3 F7 H/ y  ask turtles
! ]3 ]' M1 d' m6 P) }3 q$ m/ k6 A2 w    [ set grain-here 0- a3 @4 j1 G" S0 |
      recolor-patch ]
/ H2 T, R' _+ J1 a  - F  n6 o% z) X/ W
end" ^6 B% ~5 d- P5 y# f/ s6 b  z+ [
3 l8 C: {- C( L& i2 n
to move-eat-age-die  % P6 X; t& D. i0 |9 l2 d
  fd 1
5 Q. ^" w3 N+ c* T; E  set wealth (wealth - metabolism). ]& f! ^: ?  E6 M% [5 G
    set age (age + 1)9 @9 U+ `6 S% Z* p4 Q$ t, u
  if (age >= life-expectancy)- z1 c; M: t$ S1 T/ _) N, z
    [ set-initial-turtle-vars-age ]
# T% c0 R* t1 E8 E. a  if (wealth < 0)5 N# P* d) m9 Z; l6 p# W  y
    [ set-initial-turtle-vars-wealth ]+ R$ r1 c2 ~1 |0 g. v$ X# I
   
: y3 I; Z2 E( ~end
* {+ P* `. x# b8 w% r8 K8 @& S8 y  E8 P/ {

+ I' M  {2 `% m6 t0 K0 t5 Rto setup-plots
" y/ u+ D+ e  \8 z1 A  set-current-plot "Class Plot", u. c0 k: l) N* }. ?
  set-plot-y-range 0 num-people
6 n$ W; }& C7 P5 M4 t3 O  set-current-plot "Class Histogram"- h' ~$ w2 ~1 r3 k
  set-plot-y-range 0 num-people  @* g. h+ _9 ~; E" p- C% @" X2 {
end
3 g3 _& P( g/ O
5 j( _/ J4 L9 \) y. {/ u) nto update-plots
3 M) C, M! k- ^3 N' x8 ^  update-class-plot3 B- c0 U: A+ _/ s0 h, A# J" E
  update-class-histogram2 w5 r  P; ]; w% W. Q
  update-lorenz-and-gini-plots+ n8 Q8 Y3 I+ B$ z0 P
end
0 @* c- }4 _! j& F
( J# z, R2 X1 _" u& I  ^1 ~to update-class-plot4 ]! A3 U( L1 q3 U
  set-current-plot "Class Plot"
% U+ R0 E- X$ V" O% y  set-current-plot-pen "low"1 t' A/ [0 c' b+ h6 W- M
  plot count turtles with [color = red]/ i$ S3 ~% j% _/ m1 {; r
  set-current-plot-pen "mid"& W1 ~% S. r1 q0 |, d3 r. s
  plot count turtles with [color = yellow]
! d9 I1 @! k+ R  c/ g0 i, p  set-current-plot-pen "up"
  l/ u( d/ S6 s" Z6 r  plot count turtles with [color = green]
/ Z8 I% k" p( \) H* b" tend1 {3 V/ s0 N1 B2 C; H

/ V6 W3 |1 t$ ]0 F$ P5 |7 V& Fto update-class-histogram
& d/ y8 \+ c* q9 ?  set-current-plot "Class Histogram"
, I5 g# j: B) b5 g/ u# e  plot-pen-reset
3 t  X. I1 d. i) h  set-plot-pen-color red5 n) J4 J, d1 A1 K8 F: u" w, |
  plot count turtles with [color = red]
) ?6 F" Q9 ^& J! H0 v  set-plot-pen-color yellow
5 c- }- Y0 x. F# M' o/ i  plot count turtles with [color = yellow]+ M+ v1 J1 l3 M: I
  set-plot-pen-color green+ ]* d6 a, O2 Q5 m  N* [+ s9 G
  plot count turtles with [color = green]9 U( i* F  h0 ]$ ?: V; t
end
  G. h: i8 Y5 A& t  xto update-lorenz-and-gini-plots
% `( l' {2 d2 p5 k4 C  set-current-plot "Lorenz Curve"
8 L9 H; Y7 v& X0 H( ^  clear-plot
- m& |4 s. K; z
" x" T5 I' t* t# S8 e1 g6 H% I4 ^0 _6 b8 G  set-current-plot-pen "equal"% W) O. j8 C1 H$ f9 C) B# F
  plot 0& L& R4 A8 K( W$ m* X4 g
  plot 100/ Y) h+ q3 z  j1 \( K  b# V( l

8 Z6 X. |9 T# v2 q/ u  set-current-plot-pen "lorenz"
# a8 k2 c" @% c; Z/ Y1 H  set-plot-pen-interval 100 / num-people
1 S% _9 h  C# n' B  X& u6 D  plot 0
# @- ~  ?/ s6 F! `+ S8 f- y
9 S9 T: J( j/ G0 W$ v; T2 S$ s% P  let sorted-wealths sort [wealth] of turtles( M; a: @: N( P
  let total-wealth sum sorted-wealths- s- u4 n8 M. Q/ n1 g( d
  let wealth-sum-so-far 0  E+ Y6 a. e6 {. o8 L1 x5 p
  let index 0
6 q7 b) y+ U/ s  z  W2 U  let gini-index-reserve 0
5 r" I  c# x) @; @  l( x: ~" |) ?- V- q( y# B
  repeat num-people [4 Q( l/ Y# h  |$ p1 {4 b0 |
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths): [8 G9 N: R5 c8 u4 d% q
    plot (wealth-sum-so-far / total-wealth) * 100
5 ~7 Z9 ~9 ^- O. a7 t# ^2 X    set index (index + 1)% g, ^# ~/ \) G
    set gini-index-reserve
/ h0 O6 P4 n- |: B6 I1 N) T8 w9 Y      gini-index-reserve +
# f3 O/ }4 [) w$ M/ P( j      (index / num-people) -
. `& i0 ?! S2 ^+ B4 S* q2 }- `4 A      (wealth-sum-so-far / total-wealth)+ r/ o) m" |. {3 {7 E: o
  ]
1 Z8 R, p; e& W4 j$ R
8 _0 t4 \- F8 w' {. p  set-current-plot "Gini-Index v. Time"
) J  |' B2 c8 x# F# }/ n! ~8 Q# g  plot (gini-index-reserve / num-people) / area-of-equality-triangle
; v$ ^9 d: S. c5 Kend: Z% }' u" B, Q0 U
to-report area-of-equality-triangle  m* |5 o( J$ Z( T* o1 L* l: o
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)4 i$ H" E# @% z2 y
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
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