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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
$ `4 ~4 r8 Y$ N# C2 Iglobals
0 L0 p9 [6 P/ g7 Q- i" ?[9 K5 P6 }' T! Q* M$ v/ S
  max-grain    $ Q. h+ t3 H; J% B9 o* X  n9 e$ d
; W" ~  x5 T" {/ _+ B
]7 n; M* u- J7 R* G# Q6 E

' V. n( E6 T; o7 z: ~patches-own
0 t  ]5 N6 ^# f1 \1 {7 `[4 K: q. ?  s% [5 a& e6 S$ T
  grain-here      
- x" m: C  K! g+ @+ F  max-grain-here  , {  i1 E% F$ I# k$ H0 V' p2 B7 |
]
) H) H8 T3 T5 Z5 g& d. o5 q( q+ j' V8 v1 L( f8 k! V+ F0 F0 {" ~
turtles-own, }9 Q# s! L4 R/ Z! m! P' Q
[% E; C4 X, I" V" n
  age              * j0 v! S% u" Z4 E2 b1 E6 g. C: I- J6 Y
  wealth         
, d  i. H0 {3 P) U  life-expectancy  
1 v. l* N- z7 P" u/ ~  metabolism       % l2 [+ H( u  {, \+ t. T0 J
  vision
2 H  C# a/ Z7 [9 g" k: F3 g  g  inherited         2 G: M6 f4 s- }6 u
]4 `, N5 H+ T( B5 Q2 i9 [1 [

% M, L( F: ?; K- o& |. P  R8 M9 J& i* P2 E. M
to setup
$ ^3 ]2 _% c# u7 Z) i# C  ca
/ U. Z9 [; X$ @1 c& S- f- }. D  set max-grain 50
* B/ M. ~. x) x' j  setup-patches
. k3 V- A/ O9 h% b) l0 E  setup-turtles
6 v4 K3 \2 K8 [- U  setup-plots
6 h& H/ K. ^4 c% H& n0 L4 N  update-plots
/ ~' X5 N; L4 ]2 _7 C. jend$ L' K; f. [1 w* K! H5 B+ W
to setup-patches5 M6 t* p" t. v5 D) Q* \! R0 F
  ask patches
) v$ v6 a3 K! W# T1 K    [ set max-grain-here 0
8 m: H5 K  i* Q$ J2 N# e( M      if (random-float 100.0) <= percent-best-land
' }% T: A7 E; \7 k  s- f        [ set max-grain-here max-grain
" n+ O, s6 @- r/ M$ c$ k. J          set grain-here max-grain-here ] ]
" m3 Q% l6 b3 ]4 Z. c8 y  repeat 5
! x9 V* M% a4 Z* ?8 a2 r6 \. [    [ ask patches with [max-grain-here != 0]
, T! S' [% V8 {9 p        [ set grain-here max-grain-here ]6 J' S( j& S: o* [
      diffuse grain-here 0.5 ]
0 Q8 p" q/ I0 d  repeat 10' M0 m: o& z" o6 }) R2 K& Z5 T
    [ diffuse grain-here 0.5]          3 a% i& [7 b; G8 P6 w, _
  ask patches
. Z7 x; {! v" A7 O    [ set grain-here floor grain-here    5 t2 b" R6 h1 T2 X
      set max-grain-here grain-here      
6 ~5 K1 T  \6 I2 q" z! c* t" @" c      recolor-patch ]: c; z* @/ H% n+ N
end
! I# s0 B1 p6 x2 Z& S9 Z) l8 Vto recolor-patch  : x( e/ G7 q" Z
  set pcolor scale-color sky grain-here 0 max-grain- T% k+ K* r: Y! c# k! A8 A1 [
end; @/ F: W5 q4 m7 G1 M) p2 k
to setup-turtles* y& K% f3 i' M4 E! t  }/ e
  set-default-shape turtles "person"
) D& E! _3 Y4 S; [  crt num-people
6 k, M- e/ v) X& U, [0 l    [ move-to one-of patches  
. r4 N8 w: u/ M: f5 r      set size 1.5  % b: f+ C/ a" u6 S* M; o
      set-initial-turtle-vars-age
5 r+ b2 C" R/ r      set-initial-turtle-vars-wealth
2 E. V" M+ ^( D( v# E4 P8 w5 T      set age random life-expectancy ]9 {6 X! @( ?2 R# {& X9 ]
  recolor-turtles& g& r, C% b' h& j
end; n" I& s  i5 _9 h7 Y

- W5 c% n- Q) O6 K) Xto set-initial-turtle-vars-age
2 x/ j3 z3 k, e( m& b4 n2 y let max-wealth max [wealth] of turtles! R! z2 \/ Z5 t' Z5 G( j; N
   
$ c* l! h; X1 f     ifelse (wealth <= max-wealth / 3)
: N+ i, y+ H9 j# `+ f        [ set color red ' j1 O8 O" {) [& e# G! }
          set age 0
( y; Q; H  X; ~. l' j          face one-of neighbors4 4 l# z3 L- E& c
          set life-expectancy life-expectancy-min +
) z5 s6 B4 a' j                        random life-expectancy-max * A5 p' F  H1 X+ I  x  A& A
          set metabolism random 1 + metabolism-low
9 Y3 ], m& e. Q          set wealth metabolism + random 30
6 }2 o" }4 E, c* f          set vision 1 + random max-vision
7 b1 \9 ?+ B' P% p             set wealth  wealth +  Wealth-inherited-low ]
9 {: e$ U- C2 e; L+ ]        [ ifelse (wealth <= (max-wealth * 2 / 3))( c- d* M: q+ P' g, x% ]
            [ set color yellow
  @. v- _% B! ~* [3 S/ Z& _              set age 0
  M. g4 y" z8 b- ?* ?* d' {9 T              face one-of neighbors4
  ?) [9 B' v* o# C1 m# ]              set life-expectancy life-expectancy-min +
' v1 I% D: I4 G& o0 N                        random life-expectancy-max + 1
( M* O$ x1 c- H: ^* S. i# z              set metabolism  1 + random metabolism-mid
# P2 y# E- L5 J              set wealth metabolism + random 30
, Q  w6 @6 {9 j2 F, A, A              set vision 3 + random max-vision. K0 k* l6 X; T5 K& W0 k
                set wealth  wealth + Wealth-inherited-mid]. s7 r, Z8 E/ ?) T; \  R9 B8 q5 b
            [ set color green ! t% N5 @2 z  \7 T2 Q/ t) X. t
              set age 0
! H8 l: U* C/ a              face one-of neighbors4
* a; s3 v" j- q3 l1 ~              set life-expectancy life-expectancy-min +
7 y" ~" C3 W" K) R                        random life-expectancy-max  + 2
+ u1 a; v0 y% j5 ^              set metabolism 2 + random metabolism-up/ \9 V- K/ J+ z2 K8 y# k, X& z
              set wealth metabolism + random 30
/ m  T: |2 x* \- g3 \              set vision 3 + random max-vision
6 C2 c9 i4 `2 s5 M              set wealth  wealth + Wealth-inherited-up ] ] ; O3 {5 Z+ k! Z- e- M, ?
5 ~' N" f4 e  I/ s" T! O0 X
end8 e  ^1 I  w! D
to set-initial-turtle-vars-wealth
1 I# p3 ]  F" p  n let max-wealth max [wealth] of turtles4 [1 ^( C9 X5 b4 V6 `
          set age 0
+ ?/ O! C/ X+ K; n# }( R          face one-of neighbors4 . b% E8 L# E/ ?& t% I
          set life-expectancy life-expectancy-min +) i) X4 Z5 K- Y, `9 `) g
                        random life-expectancy-max 0 M7 D4 `! K* S8 S( g+ M
          set metabolism 1 + random metabolism-up
  [- T- a. O8 V          set wealth metabolism + random 30
9 |  T% S2 T; j          set vision 1 + random max-vision
6 x, l, N2 L) ~% pend
$ ~8 j6 `  n; R3 U; s) n0 Lto redistribution
7 M# L! g- X9 [' X  }; Jlet max-wealth max [wealth] of turtles
6 v' }6 w2 X- H6 u2 n" [1 \let min-wealth min [wealth] of turtles! j+ K5 L, h" [5 |5 o
if (wealth <= max-wealth / 3)
# J' u1 U1 ^2 q& L [set wealth  wealth + Low-income-protection ]
1 d7 K( y  _6 ?& D$ _! kend4 o% `' w( t/ u: K# h* i* a
          & Z: H$ P' y: \
to recolor-turtles' d$ g4 v/ [: f) O' p& k  V" M
  let max-wealth max [wealth] of turtles
9 s8 J* o/ ~$ Z3 s* [  ask turtles
$ u5 U$ P2 }: J9 P8 m   [ ifelse (wealth <= max-wealth / 3), G3 N- U6 W+ l4 X+ }$ Q
        [ set color red ]
5 O& X4 `+ N; h8 i3 N& e        [ ifelse (wealth <= (max-wealth * 2 / 3))
  _0 o7 Q* _) m- Q$ z; @5 C            [ set color yellow ]3 q* u% f+ ]- h+ ~+ e
            [ set color green ] ] ]' m! ~. i. v& `9 s4 ~, r4 O
ask turtles [ifelse show-wealth?
7 f+ [; b: y, s/ v, {  K5 g    [ set label wealth ]
& s4 F- L; c% [, q* r    [ set label "" ]]
% t+ _) X9 O* h+ W+ L: M: G0 jend
, E5 s& D  R! r% I/ q- t1 R5 J6 H" E7 N% P
to go
5 `: r) F' |+ j8 L0 L  ask turtles
& W2 i$ P' Y1 \3 }+ r    [ turn-towards-grain ]  9 G7 w, o% T( f7 f' ^3 G
  harvest
& T- M0 J' v9 x( \( W( `' ]  ask turtles
# u" V1 I* v+ L5 l9 Y    [ move-eat-age-die ]7 ?) t$ W9 d, ], k) _! \5 l: o
  recolor-turtles
: S* @& f4 n2 s/ k  if ticks mod grain-growth-interval = 0
; o0 Y, l$ D, a6 P    [ ask patches [ grow-grain ] ]
/ o6 C2 `, E$ r   
4 @( M& j6 W8 w/ k( _  p  if ticks mod 11 = 0; f: J7 o+ ~* V9 m" x
  [ask turtles% [3 e  E. {" s3 B0 M( b
  [ redistribution ]]
# W6 M6 k# l, t' N/ U) X  if ticks mod 5 = 0: B  p, T( }" b7 s' A. f
   [ask turtles. Q% @4 T4 z  ]
  [ visions ]], ~4 P9 N. ^6 G1 k+ x  }
  tick  L$ v( c! b- n: X1 q
  update-plots
7 X- z6 H8 D* p6 ?4 Y" Jend# |0 Z4 B( i) K% q8 a% l
to visions: @2 X2 @3 s' x6 S  }3 E( R( V" v0 \" V
set vision vision + 1 ; n) l+ d7 z! I4 C# V9 f- O
end' z. C) `; X6 [  e2 \1 q5 n
6 P3 C, ]3 D; q; p
7 P5 d( k# A5 _9 C5 q: K) }

4 d6 M6 f* l" p1 F6 u7 Z9 T$ U6 P9 Cto turn-towards-grain  
& v; U9 i2 r2 p: Q5 i$ D  set heading 00 y0 [! E  E$ [8 [: N$ m5 v
  let best-direction 0  ]) P& U% D. T  e$ D
  let best-amount grain-ahead
; l# Q+ Q5 j6 W% l/ e) L  set heading 90& x8 ?8 O( K' ~1 ~/ y
  if (grain-ahead > best-amount)
6 U8 t. P" c! [9 w9 O# D& h0 u    [ set best-direction 905 n: ?4 O7 z6 E( v) P4 }
      set best-amount grain-ahead ]
# a' x8 i% }8 _: r9 m8 ^6 z  set heading 180
8 Z7 P  P; d+ r3 u) L$ I0 Q% _% d  if (grain-ahead > best-amount)( r$ t, P: |4 [6 R
    [ set best-direction 180
: F: l( \8 s  |3 w! E, V! f      set best-amount grain-ahead ]5 a! W, N$ M. |2 h
  set heading 270
5 x) }. n4 Q* c5 K  if (grain-ahead > best-amount)3 B- Z, Q) Q! U
    [ set best-direction 270' g3 y. D0 N7 z* m+ q
      set best-amount grain-ahead ]0 Z, u# U& k! c6 L) I
  set heading best-direction
7 X7 f3 g7 H& }2 K1 S, L" Yend
2 o) ]5 ]3 B* s
, _% w( ~8 i' |+ ]7 W. Y  F5 o! I3 _$ Q6 K, S0 I% k: a
to-report grain-ahead  
6 `; A3 y2 w" O3 l( |. W$ O  let total 0
% T4 z/ }: X# d# s6 Q6 m3 u( k- W, q  let how-far 1
0 g, \! J1 Q3 c9 l2 o# [- y! x" T  repeat vision
+ l1 S% X' G! P    [ set total total + [grain-here] of patch-ahead how-far
' G# ?7 Q3 I$ X% \7 r# @2 O% q: \      set how-far how-far + 1 ]: g# g$ C. S7 a0 a% z1 k
  report total
4 ?& P" Q) p: J1 r, ?! v. M1 Nend
' Y" v, J0 C# j' ]: Z% u. f2 f" M$ V7 m+ o: H9 h
to grow-grain
- U! B. k& Y0 Q: }3 H8 `6 S8 S# w4 m  if (grain-here < max-grain-here)
; ^1 t( |6 U3 f8 {8 n& [, u    [ set grain-here grain-here + num-grain-grown
% {+ k( T- Z; R* ]      if (grain-here > max-grain-here)
& H& q2 |3 g; o+ B( }, W        [ set grain-here max-grain-here ]
) h" M8 j2 R- H5 K, J  d& x$ h  ]: M      recolor-patch ]5 w" t) N, Y) U# Y0 O
end
) e1 o- }) i. m/ R* ^) sto harvest2 m1 P" r. Q2 J2 i# O, c
  ask turtles
7 G8 Q- V9 I! h: q    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]8 Q* `, U; C0 t% s$ Y
  ask turtles# C* Z" r- S7 ~+ r9 u$ e7 V
    [ set grain-here 0
3 d5 V0 B1 `: O! g      recolor-patch ]
) A2 N2 k% b! C! S  " r3 @( J2 ^) ?& W
end
. X5 o, ~8 K3 p/ ?2 R
* z8 A0 l# l! X! bto move-eat-age-die  
- r& P% R- S$ Z; I. r1 M  fd 1
3 ?+ W  d: r' M$ `" t  set wealth (wealth - metabolism)
( u3 R, `$ K: @6 h: ]% K    set age (age + 1)9 \& i) C) V. q! J& I
  if (age >= life-expectancy)0 w% U1 ~% [' K
    [ set-initial-turtle-vars-age ]. i2 ~, e( S2 h
  if (wealth < 0)
0 ]8 \% n+ U9 M% A$ t2 o! X) Z    [ set-initial-turtle-vars-wealth ]
, j  Y; b) O  F   
, D4 w8 ?$ Y0 A" tend0 h* J: Q( J2 s* T4 p  S$ x  ~
% D" t# [3 s- j/ P8 G

/ Z* L+ s: j- n5 y  k: K4 I  R7 Dto setup-plots
5 Q/ e, C! W) Y  E3 }  set-current-plot "Class Plot"
: G$ ~+ S$ ^+ Z! X" C9 V  set-plot-y-range 0 num-people
8 l. J$ T4 @. ?  set-current-plot "Class Histogram"2 j. `/ U! L6 W$ v+ p, ~7 l
  set-plot-y-range 0 num-people1 d6 M, B3 [- _8 d
end
! _; y+ O8 X& P8 p$ b, R
( A: U8 d4 o4 C1 a9 c. s8 ^! ito update-plots  H( t& e7 M, u7 {+ o' O+ Y
  update-class-plot
: j0 C9 F* _$ i" @/ `9 S! f5 ^  update-class-histogram
4 ?$ B9 O, @- A  j0 D  update-lorenz-and-gini-plots  m+ e" c4 ~6 g& G, A4 r7 Q4 U
end
3 w8 @3 B  T7 j: K* k$ m: X9 F! i* }8 I7 E1 r9 X
to update-class-plot
2 {  A# M4 A- N. t& P7 e  w  set-current-plot "Class Plot"5 u7 k# _* F$ B4 r
  set-current-plot-pen "low"- F/ ?/ _' X+ `- O3 n7 N. a! P/ @
  plot count turtles with [color = red]
& a' n1 ?! @" f0 R  set-current-plot-pen "mid"
$ D! b9 y/ t  X8 h+ y  plot count turtles with [color = yellow]
) w3 y2 O( _2 h( B9 T" e  set-current-plot-pen "up"
! ?8 `( Z, n# E! ~  plot count turtles with [color = green]
% H2 M( B" T7 t1 E/ mend; t6 @) m' j" ~- I- u0 d
) N4 T$ V' H2 N- r/ G, a
to update-class-histogram( ?# x/ }) B" _  L  Y8 A: ^. L
  set-current-plot "Class Histogram"& l- i9 L8 x8 |$ c2 D3 J6 i
  plot-pen-reset
: x, u) S3 f# [& ?; G' O$ P- {  F  J  set-plot-pen-color red2 r1 v9 L9 o7 ^% j& h4 \2 _1 t0 A1 |
  plot count turtles with [color = red]
. ]* X3 U: J, V" i0 ?  set-plot-pen-color yellow0 E$ h" l. u9 Y) @% L/ f6 ~4 c
  plot count turtles with [color = yellow]
' y5 z4 u, B& c; M- f, s, }  set-plot-pen-color green! Z) S+ _- c5 }7 s- A9 V
  plot count turtles with [color = green]
* C9 V: _; e/ _+ @8 z8 K* ^# w6 W5 lend& Y: T* V9 J. i. c# `+ E  X( W  D
to update-lorenz-and-gini-plots
$ c- x! B6 z$ ^/ Q  set-current-plot "Lorenz Curve"( q: t# E! S$ U' }2 X  m5 D- o/ s4 k
  clear-plot
( Z, V, ]+ D, y$ t, a4 q
" f) U' H+ G% S2 @9 V$ _8 V7 q  set-current-plot-pen "equal"- |$ N& @+ ]/ o( \: p9 _, J7 T
  plot 08 P! N! p( O' f' S
  plot 100
* p1 s2 p6 J! T; U6 P! B# h
2 s% w' l# ~/ ]) M7 ]  set-current-plot-pen "lorenz"  g. \0 M8 Y8 D; \' o
  set-plot-pen-interval 100 / num-people9 @  w& ]: ]+ M. N5 s( I/ i
  plot 0
8 i+ R" E# y5 Y6 N. u: C+ C9 k+ N
  let sorted-wealths sort [wealth] of turtles& X' l! l* W! [: e5 h
  let total-wealth sum sorted-wealths: @4 a& K$ {, G- w
  let wealth-sum-so-far 0
2 B8 n& d+ p, O9 t& B  let index 0
' h/ C' |1 D, V. k1 J) q  let gini-index-reserve 04 O/ K$ [: z6 C& Y- Y( R+ K2 y

$ u! i, h: Q, z/ E! ^  repeat num-people [& a- d8 l0 Y; D  q$ q4 \! @
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
! w8 F. \$ o5 Z0 Q5 L9 L6 |' Q    plot (wealth-sum-so-far / total-wealth) * 100
) z& T& R7 I+ ^; Q* }    set index (index + 1)% ]- T: y2 ~4 a) ?7 D
    set gini-index-reserve4 [. M, X( `$ ]0 p2 W7 f
      gini-index-reserve +
1 a) c1 K& X+ B6 A      (index / num-people) -; S, F1 j6 |/ _# i3 u" l( h7 A
      (wealth-sum-so-far / total-wealth)
% o2 s8 m( B* B8 i1 M2 X  ]
: R$ z: g- A$ F( ^2 V. J$ j* S. o* t6 Z* w9 J! G. a/ w( U
  set-current-plot "Gini-Index v. Time"4 Q& k+ T( A' L2 }
  plot (gini-index-reserve / num-people) / area-of-equality-triangle. F6 G+ d+ y  i/ z3 V9 K
end0 _. K9 `" o  }
to-report area-of-equality-triangle3 R6 {3 o& m2 Z, f, c+ P
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
3 j/ q+ ]1 }' I  Hend
 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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