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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
5 K' l" d4 U; N, ~2 {- w, x3 ]0 ]globals
$ R6 F% i9 ~% C. j[- P. D; N9 o2 b3 h
  max-grain   
& u- U% f) G# E* B! W2 B. E% n! d, m9 z9 S# \
]4 N5 q8 d. k* Z8 V* Q, e8 y6 h

* [. u- I3 \" E; q5 h1 ~1 w0 t4 Gpatches-own
) U. G/ s9 i1 x; v) K" b[
% T  L. U3 N  s1 P; T  h  grain-here      
5 y! R; n" k& |4 M% T6 g7 @+ y8 P  max-grain-here  
1 G0 L) S' h: Y]8 g( w1 u  D7 @# e

, x( [5 f% d. h: d2 b, Sturtles-own! O- F. g; x: e+ y
[
. T; D7 I; ]- ?& n  age              
- N# H5 x9 r# q  wealth         $ o' S( n* ^, o) Z; U1 y+ R1 `
  life-expectancy  . H6 F( G0 A: P( D" |/ `6 a- ]4 W9 L
  metabolism       " B$ M. _% D! p4 p! M
  vision
. X; Q+ m4 I7 k5 W; y, z. O  inherited         6 a) }8 Z9 y6 j+ K8 p6 X3 w
]
* A  ~8 P! \, u4 t7 |8 w, p- k! V5 z+ ]# }- Y
3 d0 n$ e3 y( o4 l
to setup  k2 i# @. I/ H+ D" h8 c
  ca
" m% O* _! t" `, f$ d  set max-grain 50' T6 S  B# I6 w# d& D& z  d
  setup-patches
( K/ ?4 v$ m. Q8 m  setup-turtles  q  {! H+ ~4 i- B5 |
  setup-plots
; p& J$ v2 ~1 _& q& |  update-plots5 N7 C. @4 @  A4 M- }' F
end
, R0 S, \! q3 O, G$ d: Fto setup-patches/ V9 }* k9 `7 G5 V; h$ I8 D
  ask patches- p( |( n* l2 ?( O% W: y8 J
    [ set max-grain-here 0
* }: C  T7 Z, i) Q$ A2 I      if (random-float 100.0) <= percent-best-land1 @* B" q# ~( H
        [ set max-grain-here max-grain
* L7 F2 [8 b4 y/ @" V& q" `          set grain-here max-grain-here ] ]5 f! ~/ k) f* C" B) C* q' O
  repeat 5+ N, D& N: W" W$ v7 r6 I' ?
    [ ask patches with [max-grain-here != 0]0 x, I3 ~" Q( s0 _8 P( r. z- p1 L( A
        [ set grain-here max-grain-here ]. T/ _* V1 w/ N5 T% U( l
      diffuse grain-here 0.5 ]. q; y' [6 N" h: }& ^
  repeat 10
9 S7 M( {' M7 K    [ diffuse grain-here 0.5]         
2 b+ @6 |/ r* H) z# v  ask patches+ {: k* F- M" c0 |4 F
    [ set grain-here floor grain-here   
, x6 g1 }5 k0 p6 q! u& j0 T6 @      set max-grain-here grain-here      , p. @1 h  K: r  @% n  N) H
      recolor-patch ]
3 L  K4 U& ~4 R1 l% C5 i% Aend
3 y' H* H# `3 ?. p! Fto recolor-patch  & c4 u% q6 W! j- ~& B- t* s
  set pcolor scale-color sky grain-here 0 max-grain3 z( Z9 A6 d5 @3 L- X7 B! I  b
end* Y4 f6 p9 d- ]3 i  }5 o3 c
to setup-turtles) O2 w$ S  ?0 q1 K' J
  set-default-shape turtles "person"
+ N/ Y1 E' I4 E' P, i( c/ }  crt num-people" c7 f3 L, D% _. J+ R; `/ ~! F
    [ move-to one-of patches  / _4 L- L+ r' X4 W, w' }
      set size 1.5  8 \1 j, J/ W! P. V% o( i0 y
      set-initial-turtle-vars-age2 b1 |4 s& `. V, N- q/ [- T- [
      set-initial-turtle-vars-wealth) C& e- M: `& Z* R! n! n
      set age random life-expectancy ]; V2 @1 M9 s0 e3 X( p; N& N
  recolor-turtles
9 @: R+ H2 E: ]* H0 Y, u2 {end
9 j% C$ N- r- [- f$ @. u
7 q7 ^9 i7 a5 P. V2 u0 Ato set-initial-turtle-vars-age
' d! i' ^4 V& `; S let max-wealth max [wealth] of turtles6 |+ y' k, S8 w. h+ |: n) [
    * Y# T  e, R( w0 }9 n* x
     ifelse (wealth <= max-wealth / 3)
* z! l& l  E# A0 w& K! n        [ set color red ! G& G* J2 i1 g0 |  o. g$ N
          set age 0
8 D( H9 Q  r) i' v$ j+ Y          face one-of neighbors4
' B) m% t1 T) q9 I( n  F          set life-expectancy life-expectancy-min +
  m" X( ?) W/ w7 y. P                        random life-expectancy-max
' C" h/ J, W1 R5 K8 N2 N  m          set metabolism random 1 + metabolism-low9 V7 d1 A" `/ l) g" X
          set wealth metabolism + random 30+ k9 e$ J) E% d0 ?
          set vision 1 + random max-vision# H1 {7 {0 y& ]1 l8 C0 ]7 S
             set wealth  wealth +  Wealth-inherited-low ]
% m: e# ]: c; V8 e        [ ifelse (wealth <= (max-wealth * 2 / 3))
/ }" e5 r' u1 U$ p: \            [ set color yellow 7 q- g& @1 i- z7 I* J
              set age 0
7 w; A6 n( y( J/ C3 I, o              face one-of neighbors4
1 [; J& \8 H3 H2 j4 t              set life-expectancy life-expectancy-min +
- t" I9 L+ Y, u+ o1 ?1 j                        random life-expectancy-max + 1* w) x* l1 ~: H1 b9 `
              set metabolism  1 + random metabolism-mid
, b' H. s8 X1 u6 h              set wealth metabolism + random 30! s, c- Y" C9 R) v  A3 Y
              set vision 3 + random max-vision
. e; e2 B; K& i3 G5 c: G, {                set wealth  wealth + Wealth-inherited-mid]+ r$ d9 l/ _' R7 ]
            [ set color green / L! t  @5 V! V/ A8 a( z
              set age 0* r. _, T% u5 ~" ~6 K- ~6 G
              face one-of neighbors4 2 k+ x/ f: j- W3 w% x9 p2 j; o
              set life-expectancy life-expectancy-min +
: [) q/ E) ]' J6 m; t                        random life-expectancy-max  + 2
) Z8 {: c, y8 i1 _              set metabolism 2 + random metabolism-up! L2 b- f/ f  c  x
              set wealth metabolism + random 306 C+ T% m  w: B- B
              set vision 3 + random max-vision3 g6 Q5 }. X; X
              set wealth  wealth + Wealth-inherited-up ] ]
* b3 X) X' A+ X2 m6 V9 T& v$ d   m+ N2 o0 |- \1 i; D+ m) R# |5 M
end  e) A! V* q. P
to set-initial-turtle-vars-wealth' m0 Q. Z6 m! E& V: h5 n8 m* f
let max-wealth max [wealth] of turtles+ ^' V9 r" _, Y' F) h5 j
          set age 0
( M: Q7 q* M0 I' z3 Q          face one-of neighbors4 ) `6 J. W4 f* x& g% f# ^8 R
          set life-expectancy life-expectancy-min +
5 ~" j7 Y1 q" N4 I                        random life-expectancy-max
' c% @& Y! s/ a7 M; ?/ ~8 c& d          set metabolism 1 + random metabolism-up
. c6 q; q1 Q& q" V" e" ^7 e( h          set wealth metabolism + random 30" z, S5 Z) P, w) [, |8 F
          set vision 1 + random max-vision & a4 n" a( A8 B" v7 w
end
1 Q$ J( M: |* jto redistribution
) g; _7 T2 [! p; Nlet max-wealth max [wealth] of turtles, ^% Y2 Q+ x7 B6 E
let min-wealth min [wealth] of turtles
* h; ^" Q( K3 W3 ~" U" Qif (wealth <= max-wealth / 3)
6 q  P8 d, _# @% E) Z" y [set wealth  wealth + Low-income-protection ]2 B2 A0 ~9 W+ b3 ?0 v
end
& B0 G4 d8 o3 h         
* z& M, |" Q. e# A- A7 Z& n% Xto recolor-turtles
+ k. m9 N6 z/ \) R; w  let max-wealth max [wealth] of turtles: @3 Q( D5 v  r- S$ e5 ?% F5 L  h
  ask turtles5 f# X9 ~" o1 P" V7 c8 F4 k9 V
   [ ifelse (wealth <= max-wealth / 3)
5 N: _% F* W; Y! t0 x3 y        [ set color red ]
: f/ d: ^* X( ?1 y& |5 }        [ ifelse (wealth <= (max-wealth * 2 / 3))
/ B, x' a- h+ q* z6 V$ m1 p/ n2 }9 Q            [ set color yellow ]
) o* |5 U; u- \7 o2 p0 w            [ set color green ] ] ]
6 A2 v$ s3 I! G+ v ask turtles [ifelse show-wealth?
# {  X: C+ ~+ v7 d    [ set label wealth ]/ |9 m" S: {6 A2 M: y, x- H2 r
    [ set label "" ]]# K  B1 w% t- y' P
end/ `" {$ F; l, N5 S3 z

  K- y  p3 [5 D  s/ fto go
5 m5 p* l6 B1 `) o& V! J4 @  ask turtles. V1 M- X0 I( w% Q. w
    [ turn-towards-grain ]  
: A' F7 _3 O3 h  harvest, U# h5 N  }) {3 B1 o! _
  ask turtles
' N/ k5 x+ d% R+ W3 M7 d    [ move-eat-age-die ]
& ?% @/ N: K7 k' D0 a3 L3 d  recolor-turtles
% B+ q7 D' u0 v4 a/ l2 j  if ticks mod grain-growth-interval = 0
- I5 o: z  Y. \    [ ask patches [ grow-grain ] ]$ D  _( L8 T+ n4 D5 p7 S- r0 V: R
   ) c4 X) i$ |0 }9 s( n% o% |+ I- d% W- P
  if ticks mod 11 = 0
( D" f8 h3 ^6 ]! e5 m6 V  [ask turtles
) M$ X0 g, ?  l6 j. N$ r' R  [ redistribution ]]3 Q. w, |+ s6 Z; L5 m
  if ticks mod 5 = 0
$ N3 U3 p2 \3 X' U7 I( ]   [ask turtles% M/ J' ~/ [9 m* z5 v- I
  [ visions ]]$ S& b$ v3 s- R/ i
  tick
5 a. i# y! W* l9 b4 H  update-plots
/ v2 N4 I! a. K/ aend9 b- S9 g+ e5 ~1 O
to visions
- [, _3 t/ u3 b- q" Y' B4 { set vision vision + 1
% s% w# K; y6 Pend# E0 Q% Z. ]4 c" o
7 C) }6 ^# m7 k6 T1 ?
* t/ @* f% A( \5 z
4 ?" L9 G! d5 D3 ?  {
to turn-towards-grain  
0 w* S( j; V) E4 c; ?  set heading 0
8 U; d; p' ^. M  let best-direction 0; ]+ ^/ w/ |# M5 F6 z0 x+ G
  let best-amount grain-ahead
, P: H  y# a7 f  a8 {  set heading 903 h2 M3 Q5 g( U. w" [; z' g. F
  if (grain-ahead > best-amount)  Q- r. i/ e; G9 C7 z2 a+ A' m
    [ set best-direction 90
  M- `' _+ I% D* u( c4 s      set best-amount grain-ahead ]7 H" R$ q3 @, |/ b9 j4 [
  set heading 180
, L3 K; I- x/ O& _  if (grain-ahead > best-amount)
& ~( Z  |; R; R' I9 h    [ set best-direction 180" h; a1 j4 X+ B1 C/ E# c3 W
      set best-amount grain-ahead ]
. ~  P2 B6 X3 k9 x  set heading 270! P: y5 N, K. J& t$ F9 ]% ]) G
  if (grain-ahead > best-amount)
! \- C) s5 v& l" }  W    [ set best-direction 270
3 f9 a" x* N; w0 Q$ G3 z" @6 n/ v" H      set best-amount grain-ahead ]
! H7 J4 Y0 s/ J( e0 Y8 N  set heading best-direction: T+ y" I/ ?2 C  D
end
) v5 F2 u( a% _# t  e3 X( d5 p; E' l8 L! P

! w1 N& ]/ f; U8 e3 i' t8 L+ n& [to-report grain-ahead  
$ r( e! a0 J) B( E4 }$ o  let total 0
3 Y$ Z- `5 B- e4 l' ~  let how-far 1* |  W% M4 [2 z8 u# g6 a( i6 u1 m
  repeat vision0 u4 i' A) i9 A) c" q$ w
    [ set total total + [grain-here] of patch-ahead how-far
/ c4 e  q4 f9 n! f$ t8 ~  I      set how-far how-far + 1 ]
3 S: r  m: ?  J" K4 I: |; ?- Y  report total( p# E& j' s* z  B: l
end+ ]( h$ E- f4 q' N( c7 C
4 T" k$ K7 r7 K* x  ?  e/ T) O
to grow-grain 6 E$ C+ O3 m# Y6 O
  if (grain-here < max-grain-here)
* Y. N4 W- Q% m4 e) T. u    [ set grain-here grain-here + num-grain-grown
$ g# T& J) j2 ^( V  \3 C* y, {3 m      if (grain-here > max-grain-here) ( [: X. ]2 q, M1 b3 N
        [ set grain-here max-grain-here ]
0 A$ m2 r0 e0 T& n( X8 H      recolor-patch ]3 {- {3 L+ ]( N  w& c7 @8 h, g& X
end
( g( }- U4 H# z% O7 Rto harvest. b% e0 a4 T+ j0 k
  ask turtles
# m: i2 E# q+ I1 G- p' X5 j0 G0 i3 v    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
1 |" ~0 b- l( J7 C/ O& u, a  ask turtles$ }: g& `. C, x1 I4 I( i
    [ set grain-here 06 j' d$ _* P! q3 {8 `' M7 h
      recolor-patch ]
/ ]7 E9 o6 B# A  * a0 C( _% C5 G
end, ~0 {  y. K- \! R" ]0 J6 _# }

9 @$ \) P& H- W  xto move-eat-age-die  & Q8 a( C0 P1 F' H. e- Z! e
  fd 1% n" A3 H! B9 \4 f! z* Y; F
  set wealth (wealth - metabolism)
2 e& s7 O7 Y& _" E. h/ q; G/ h    set age (age + 1)
' \3 ]$ v' Y0 }8 B% L0 _7 r( F  if (age >= life-expectancy)
. u$ p- \* V2 U" W    [ set-initial-turtle-vars-age ]9 V; T. f) l% q5 {3 {; j. r
  if (wealth < 0)
! `( _9 a8 K$ s/ c* d    [ set-initial-turtle-vars-wealth ]5 F. a5 _1 ?, o/ U7 c
   
3 T% O: O4 N$ ^3 c* [end# Q+ o5 y$ O/ [$ j& S1 I- W8 }
) S( o. O( ?; S. [' R
. g) v" \* [3 L0 r# v* B
to setup-plots# m+ J8 R% u( p& }
  set-current-plot "Class Plot"* w) B& |% i4 O
  set-plot-y-range 0 num-people8 x' E3 g  e; t
  set-current-plot "Class Histogram"
. s9 O$ A+ ^/ Z1 i0 t: I: {( p  set-plot-y-range 0 num-people* z' r% j+ A) M6 q% |; P
end3 q8 ~2 K* X. y0 _
0 d5 K; ?/ e4 ]% l
to update-plots
8 j9 K( R$ s8 M- N' Q& \6 A  update-class-plot8 k* d) @+ X" w% A1 G- Z" a* I* D, s
  update-class-histogram! d" g7 H& p6 r8 u
  update-lorenz-and-gini-plots
; E4 o4 l# K; K- M- q( J( M8 Aend
' `+ a: }5 A* S$ @3 A# @  H4 B( }4 k4 D
to update-class-plot! D3 k0 z+ j  p0 {3 P5 ?2 @
  set-current-plot "Class Plot"" n' E6 Q6 A" J7 S& G
  set-current-plot-pen "low"
0 ?: i& T1 i& K. l( [9 _0 q  |  plot count turtles with [color = red]
% |# o! Z# j6 V* [* X9 v  set-current-plot-pen "mid"
/ ?4 G: W' r' Y0 S7 M' i  plot count turtles with [color = yellow]2 o! p; C) s" O8 \
  set-current-plot-pen "up"
# X% V7 T7 h% t: L7 j# |* }5 s. e# `  plot count turtles with [color = green]
+ z( u3 p) {  j9 L* uend" x! I- s; b2 ^" J+ V9 N3 ~2 t2 z$ H7 a
1 \5 G; h6 F. t2 M4 h
to update-class-histogram2 U! F0 ?. Y! Y) y* A! @% M
  set-current-plot "Class Histogram"
. @! b7 s  N2 g& V0 p( l  plot-pen-reset) k; M. `; ]& L, K9 t# ?* g
  set-plot-pen-color red+ k- k% _' t! z* E& ?8 x
  plot count turtles with [color = red]
& q  s. n0 Q5 _  set-plot-pen-color yellow$ e! S& r0 }- L, V& b" M' f! ~, [3 j% Q
  plot count turtles with [color = yellow]5 L, H& W% l% m/ t; l# C
  set-plot-pen-color green: Y" R4 V4 a6 V* e
  plot count turtles with [color = green]
0 c2 J  I4 @" W3 vend3 F' ~) W/ k- O2 b+ o' h: O
to update-lorenz-and-gini-plots# T& l) g1 i) k  j
  set-current-plot "Lorenz Curve"
* O/ g7 o9 W& z) [8 T0 {  clear-plot
: r3 w! G  g$ ?! x( p2 d& w  w) o
% Z: t  d3 K8 h% g  set-current-plot-pen "equal": V8 q# y, X0 S1 E, L& x0 o- L+ d
  plot 0% f3 X/ R0 W; w7 ^. d& \
  plot 1003 [2 o0 s: ~9 G0 x; z  R0 {5 t! e

1 p+ W. j& u& ?  set-current-plot-pen "lorenz"
- P1 [9 L  c7 d# Y) W; }  set-plot-pen-interval 100 / num-people( g4 |& b. d. C  m- N- z' r& y9 W
  plot 0
% `4 W, }2 S, c" d
) N. Z2 T0 ?8 g6 W( d  let sorted-wealths sort [wealth] of turtles
) q% O% _; A+ a  f- Z  let total-wealth sum sorted-wealths. q6 n3 d/ h" N( Z0 f
  let wealth-sum-so-far 0* x# S0 ~! H  B7 g5 j7 }; g' k1 U
  let index 0) W% ^( v6 w0 k
  let gini-index-reserve 0
! G8 @* N' l+ g
& O" K1 k5 f4 e, Y: j" F  repeat num-people [; s( I5 O6 q# Z3 K
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)& C$ v$ t" b. ]6 q9 ^! @, m
    plot (wealth-sum-so-far / total-wealth) * 100- }# s- s- e! V& \2 d) g
    set index (index + 1)- P) t: n1 z+ {* q& T- r% O
    set gini-index-reserve
: [7 ?- C8 p7 B      gini-index-reserve +
- i, c% y( O7 |2 B& s      (index / num-people) -
" M0 P7 e" f# b# P& l) H$ i+ m  R      (wealth-sum-so-far / total-wealth)- s( d1 H8 k; }% l7 L8 p: o
  ]
# Z" U3 k) y. L/ Y. Y6 o. P& `7 w1 _8 u* |/ |/ {( i3 }& _
  set-current-plot "Gini-Index v. Time"0 v; }9 h2 p4 {; I& U4 r
  plot (gini-index-reserve / num-people) / area-of-equality-triangle1 y" d& Z) p" B1 \: C) F6 z
end$ Q# b* a; H7 J  G0 ~' e
to-report area-of-equality-triangle
; D  ~$ r# ^" ~4 [6 F# ]  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
; D  w0 p* H' i& W! }+ U1 e5 C; U/ D6 vend
 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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