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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" F. L4 u. w6 ~( ], ~2 h9 y
globals$ p; ^1 ]+ E( B
[5 I  G$ L, T1 D7 o7 H- O
  max-grain   
  G& @5 G( x) \0 y9 h/ P- Z% E- J2 N
3 X7 k5 c9 w9 J5 F3 z; m4 T]7 r, n, v/ g3 J7 O  z; x

& g2 N5 a3 I8 k! z1 a2 o+ Upatches-own
! E: V7 i7 `& u/ q& d, u6 W# _[
4 f6 j9 a, t8 `3 q! m) ]  grain-here      - t8 H( R! H, c0 {* ^
  max-grain-here  + d  A; T& ~" c6 i' h
]
5 h. X; p6 @2 `: \0 q8 Z1 e- i# G( A
! E( f# e0 f- f0 |- Eturtles-own
% ?' |+ {  ~3 T/ L4 [. r[
( Z; ]: s( D# ~  age              
3 i6 e4 _* W/ {. ^/ o  wealth         
1 @# T3 R! l/ w/ N. G  life-expectancy  
6 n2 Y" E: Y+ d: {( j5 J$ ~  metabolism       ! P: Y: h1 w" O/ l' e5 g
  vision
% ?: ?& H6 H. K7 t4 J. C. ~8 y  inherited         
5 J- R! X2 u+ F' u; Q# _/ N2 F. m]2 G7 n& R3 R3 f; Z7 D) X7 J0 c' J
9 Z- {5 [. a* L
8 v# x- B5 s0 y: B
to setup
1 [' {( w0 m' M+ Q  ca# ^  A1 O" ^2 a7 m# g; q* h# U8 W
  set max-grain 50! ?- g4 w( Q5 A3 ]$ z4 A
  setup-patches$ V7 g: Q0 x% b+ Y0 b0 W! i
  setup-turtles
: z% Q9 r3 m9 x5 \3 o* x, e4 A: U  setup-plots3 i9 Q6 ~3 [+ v/ C
  update-plots
. w1 g' T. ^3 R1 W- qend8 g" P$ i. z3 P# {' c4 ~( A
to setup-patches
1 L: a: o2 k9 f3 C  ask patches
1 q+ m3 T; p5 k& m2 \6 p    [ set max-grain-here 0
0 g. u# T& ]' k; }# t8 q0 \: a      if (random-float 100.0) <= percent-best-land( G* j( c0 ]" |2 N
        [ set max-grain-here max-grain3 a7 N7 [: r: D/ c( {
          set grain-here max-grain-here ] ]
$ K4 x( H# v9 K  i  repeat 5" J' X4 J$ q3 |8 f
    [ ask patches with [max-grain-here != 0], l2 }% j; C' F& b% P  f
        [ set grain-here max-grain-here ]
0 B& k9 O2 Y0 S7 \/ n      diffuse grain-here 0.5 ]! V9 b$ |, F$ ]/ @
  repeat 10
2 ?4 t/ G+ a/ u    [ diffuse grain-here 0.5]          & K6 @- z# U8 `+ u1 O
  ask patches+ R  l$ A* \4 e. B8 `: a6 B
    [ set grain-here floor grain-here    " M! v* B' L+ z, H+ r" V( ^6 D
      set max-grain-here grain-here      1 F& x$ C9 I/ e& G* H  g% S7 j
      recolor-patch ]  T7 D  v3 G& u/ m
end
9 P! n1 I( O" |% u4 O7 H0 S1 b, qto recolor-patch  1 ~. s, i" f; Q( u
  set pcolor scale-color sky grain-here 0 max-grain
# D- Y4 q( P. \2 p" e( Kend
' G; O0 ~- y) Y* ^to setup-turtles
) x- z3 N- _" @) e- T! _4 s& z  set-default-shape turtles "person"
3 ?; F& G9 O; e& g. }2 L  crt num-people
  \! ~8 p% C, t2 [    [ move-to one-of patches  1 ~8 k( O! v; M0 k- r6 _
      set size 1.5  
4 ^! d0 Z; q5 o' g      set-initial-turtle-vars-age9 C4 R; [! y! |3 C) M
      set-initial-turtle-vars-wealth8 I3 S' g6 n8 n! Q( K% G) K
      set age random life-expectancy ]
: [2 B6 B' J+ a: P/ i: `  recolor-turtles2 l" g1 g! K' W0 [  `
end) _9 F! j# p% ~9 a
# _$ ]: n$ S$ i# S1 ^9 o& y1 D
to set-initial-turtle-vars-age
) W- ^4 z2 v/ m# e6 f+ u let max-wealth max [wealth] of turtles$ k7 X; j4 Q/ ~0 K5 y
    % o4 l! Q; ^, @0 i/ ~  ?0 g: U4 ~) y
     ifelse (wealth <= max-wealth / 3)# y( i! l4 W5 I! o
        [ set color red
  ?, k/ B+ D4 M1 g. C          set age 0
& O  L/ s+ [- O( l& v" O- t. {          face one-of neighbors4 9 ^0 `2 b% C7 u3 v1 j( O% U
          set life-expectancy life-expectancy-min +
- A# M) H) [6 n" ?                        random life-expectancy-max
9 E  a* l/ [+ l+ D5 y, w          set metabolism random 1 + metabolism-low
! a+ z4 t8 \+ S* _! z. q! J: W          set wealth metabolism + random 30
! P+ g$ X* V3 q8 q* A          set vision 1 + random max-vision7 {, o0 T1 r' V3 x
             set wealth  wealth +  Wealth-inherited-low ]
8 \" K* L; g. h8 x( I5 \& n( }        [ ifelse (wealth <= (max-wealth * 2 / 3))
3 F5 `! w0 T  ~, [; ~+ d+ J  C            [ set color yellow # y" A% w* l9 D* W3 J0 X
              set age 09 |  t' X3 l* H6 `( M
              face one-of neighbors4
5 L+ u/ x, X" e8 w5 F* _6 {, g0 o              set life-expectancy life-expectancy-min +0 B( ^7 p& L' D! o. ~  B; T
                        random life-expectancy-max + 1. T' y6 C: L7 ]4 S  _( U- I5 W
              set metabolism  1 + random metabolism-mid
5 d9 l, i1 d3 n6 N+ c              set wealth metabolism + random 30. z  ?; d( w8 ]" y  y1 L
              set vision 3 + random max-vision$ X3 C. Z3 O/ ?& J* d9 ?# q/ J
                set wealth  wealth + Wealth-inherited-mid]
' }# L6 ^" q1 u5 b, V            [ set color green   {7 q" I* f% j' Y9 Z
              set age 0
. Z; @% j* t; L- E6 U              face one-of neighbors4
1 b% f3 _3 d0 J              set life-expectancy life-expectancy-min +
5 J# @0 O: E" g8 J6 X+ }7 T( w6 E                        random life-expectancy-max  + 24 f/ e/ l' p+ k8 U9 [2 f
              set metabolism 2 + random metabolism-up
& q$ K0 \6 E/ U4 [8 M# c) `              set wealth metabolism + random 30, n! Z7 E' j7 X& H/ v+ p% h
              set vision 3 + random max-vision
5 S: I( g8 Z1 Q' ]              set wealth  wealth + Wealth-inherited-up ] ] 2 [- j. D7 s- o5 u
% o8 r7 _. x4 c  F/ m- r
end2 p* h. [/ A$ R) v: c
to set-initial-turtle-vars-wealth- X/ J( B+ F$ r% T3 o
let max-wealth max [wealth] of turtles* a1 ]/ V" v" d  B- [2 s; \
          set age 0
' @0 [8 G) l: a5 N5 G9 r          face one-of neighbors4
5 j; s% ^( r$ C- o4 \/ C          set life-expectancy life-expectancy-min +
6 s" p' Y$ |1 k( P* z$ O                        random life-expectancy-max
, d: `7 O+ A9 n4 U9 b# W$ ^( }          set metabolism 1 + random metabolism-up3 o/ e1 P; S# ?2 r* N6 m
          set wealth metabolism + random 308 a' ?( K3 `6 Y. z. d# N
          set vision 1 + random max-vision
  A0 S2 S: z8 U3 v  P% A+ w4 M6 send
- `5 h7 A0 M/ D( ~to redistribution
* A& l8 _0 `8 l0 M1 s. c8 U6 ylet max-wealth max [wealth] of turtles4 m# E  x8 w4 ]# E
let min-wealth min [wealth] of turtles6 q9 v- V+ g  M% \' _- b
if (wealth <= max-wealth / 3)! y% m5 ~; \" u/ X/ g- z
[set wealth  wealth + Low-income-protection ]
, N, H0 q! i# c# Iend' ^1 i/ T  N, f/ U* s
         
: S- m7 u( U1 mto recolor-turtles
! P8 |: S5 ~8 ~: F! A  let max-wealth max [wealth] of turtles
$ _# u) s4 m% [0 I% C/ T/ t  ask turtles
) W8 ]- X. g7 L$ O' |. v1 U1 ]. \. P   [ ifelse (wealth <= max-wealth / 3)
0 M1 P2 Z4 _% Y* S: I9 N        [ set color red ]. N& B4 d- G1 ^) E
        [ ifelse (wealth <= (max-wealth * 2 / 3))
9 }. V- t( x# c% U            [ set color yellow ]
$ u: k, ^# F; ~; V: A            [ set color green ] ] ]% N: y2 H- W. j* P
ask turtles [ifelse show-wealth?. \& \# O* i4 U* g7 f2 e% s2 k
    [ set label wealth ]
$ o( m, ]9 r3 `5 z1 ^) p# h    [ set label "" ]]4 s! m% L/ _2 {# Z) ^
end+ s3 g) R7 N5 m. _4 j# ]0 Z# x% j3 I
5 B) Y$ g' R0 j3 x
to go
7 b4 X2 S2 E8 i$ o$ k9 A+ K/ o% d  ask turtles, ?3 K0 C0 R6 @% K% r9 a4 v$ r
    [ turn-towards-grain ]  
. k" I) q/ Z# @3 ]  harvest7 `0 N6 N! c# p$ F
  ask turtles
, Y0 s$ `1 f9 |, {" M% ]; ?" M    [ move-eat-age-die ]3 N, O( t- l3 O4 x% v# |+ I
  recolor-turtles4 x: I+ W2 x' o0 |
  if ticks mod grain-growth-interval = 04 ]2 K( H" y$ h8 D7 g! c
    [ ask patches [ grow-grain ] ]/ ?/ m, }0 H/ ^$ C  U7 T: s
   7 j: M# \% R1 U
  if ticks mod 11 = 0
5 K* c$ F: @* {, U  [ask turtles
  q  `, V3 H5 e) s0 o0 U! i  [ redistribution ]]# r6 |% M; L3 l
  if ticks mod 5 = 0
5 M7 B: c5 M) @, y- z   [ask turtles
! j5 r. l2 G& g4 k2 Q  [ visions ]]- h: w. z" g4 P
  tick
# w  ~% E; W& v# M1 d" A7 _  update-plots1 f6 `3 C0 ]) a9 x. T  C3 @5 s0 X
end
+ C- O' Q- i8 `1 i8 u* L" w  ~0 Tto visions1 [. |5 p+ Q4 n
set vision vision + 1
  e! E/ h1 x, f, Wend
7 A' y, b( d1 Z" g, o1 u
3 ]; h1 ]& s! C7 ^" u" T( h0 ~. w% B4 A3 @8 g7 ]' `/ m

1 u7 j$ I, z  m3 k$ _to turn-towards-grain  + t' n- o9 @# d, Q! O+ a; m
  set heading 0
/ S+ F1 W( J: Z3 F9 ]: r+ g; j& s  let best-direction 0. F; ?0 ?3 F$ Z+ H8 q$ s! t
  let best-amount grain-ahead
, R; g% b$ V6 v3 t* n) I7 w  set heading 908 p2 R7 y& Q7 E9 \4 ?
  if (grain-ahead > best-amount)
1 R) d6 b7 A$ O. J) k( A$ _3 v    [ set best-direction 903 Z; {7 ]5 v9 Y6 N$ m+ F) x$ L% L6 \
      set best-amount grain-ahead ]
4 q; o5 N( m, \  d3 |  set heading 180
" K7 l* w$ ~" ?6 a( c4 s  if (grain-ahead > best-amount)3 {7 {9 M% e+ K- ^" A& R6 _, n
    [ set best-direction 180& Q7 ?9 v7 @* w2 Y3 g* |+ t
      set best-amount grain-ahead ]
7 S7 g- S3 ?6 r$ @/ z  set heading 2706 G( F- v3 F3 o" v
  if (grain-ahead > best-amount)
+ P3 N+ a5 C# i4 \9 i7 H. D! @    [ set best-direction 270
, |5 y0 ~3 x: e1 _) F# ^. X0 i+ _      set best-amount grain-ahead ]
' D7 C$ U4 G* |, u9 s: h  set heading best-direction
" w6 u$ [8 S/ F5 L5 Fend
5 v' C1 Q: T+ P
$ m! F. U( U) m$ y
; j0 C% l; L: P! F2 F- W5 Kto-report grain-ahead  
! L, r1 z4 ^& f* \+ T1 b' j$ P  let total 0
# [2 Y7 o! I' I. s. d5 U  ^+ Y; c8 b  let how-far 1, g& S* z! V* T4 x
  repeat vision. f2 @2 R3 x0 k7 Y) h" e: E0 ]
    [ set total total + [grain-here] of patch-ahead how-far$ d0 R  }) }* p+ r
      set how-far how-far + 1 ]% a, k$ h4 t8 n  u3 U( v; o/ ^5 ~
  report total
6 H  N2 @1 ?( ~2 V. Yend
7 W- [" Q5 N' N- {8 M2 H* l
+ l( W  l$ ^- @8 Xto grow-grain
1 Q) P$ E' a0 z/ V1 Z5 A  if (grain-here < max-grain-here)
# f5 G9 B- X7 S0 q    [ set grain-here grain-here + num-grain-grown
# y7 }+ V: d* e/ m      if (grain-here > max-grain-here)
- b! M5 O# u1 T5 @8 W  N+ ?( d        [ set grain-here max-grain-here ]
; b0 n! y* \" t3 v      recolor-patch ]
  g6 F- B; E& q  l4 {( hend2 c0 T: P. t9 m# y" H
to harvest+ I2 \* }3 n" z' {7 V
  ask turtles
) I" B; [: T$ J2 y2 s7 i    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
* x+ O' E& ^# t9 l" b2 y5 Y* j- b" o  ask turtles: o9 \0 l) @$ q% g% ]% p/ N
    [ set grain-here 07 T' |7 z$ m9 I$ l5 k( l5 K
      recolor-patch ]
6 p# o0 G) c+ }: I+ K0 d: `2 t. ?% e  
+ b% A- m5 O) ]" P" E& E: j, Cend2 A5 V. x  C! o: G% P) ?

3 b" [# b, \/ @9 `to move-eat-age-die  
1 n% J  t! W% W6 O: D- O" o5 A  fd 1
0 `8 n8 q+ ]- A6 Q* C) L  set wealth (wealth - metabolism)
+ O# g- M/ _% _2 k3 K) Z4 h    set age (age + 1)
" F5 _& x4 a0 D/ O5 h* q2 @* ~  if (age >= life-expectancy)
9 Z, S% m- {5 u5 t! a    [ set-initial-turtle-vars-age ]7 m) O3 w( C3 @; t* G! a/ j3 T
  if (wealth < 0)
7 _$ s# T6 C7 e: I. w% h    [ set-initial-turtle-vars-wealth ]
/ b$ W1 G- A0 z; M6 I: C    ! G% T. p* H1 R0 x* T
end  N2 G) X2 F/ X9 U3 v7 C( `
: ~. Z' Z' H  V7 V5 U
9 G& S$ A) X; G! Z+ `# S& ^
to setup-plots
6 V1 P, \% {* d0 K* Z5 k2 \  y2 c  set-current-plot "Class Plot"
3 s2 V% d) O0 G" K9 B8 ~  set-plot-y-range 0 num-people4 i# r- t' q- q) @
  set-current-plot "Class Histogram"% @  S7 l8 ~* B- i; L+ x3 x! K5 d
  set-plot-y-range 0 num-people
1 |- x$ I; I/ a; p7 K4 v; x) tend
, l3 A" h3 l3 T' F
1 j8 T' f1 l5 q- K$ d* Dto update-plots
& W# f5 P+ ^- h9 s1 I  update-class-plot
# w  N0 T: ~5 k% E! b/ l  update-class-histogram
6 K& k( ]) k6 x  update-lorenz-and-gini-plots/ E1 w& ?4 c& u/ ~5 \3 c" Q  b
end
( J, H2 L# r' N% a* i2 u; R
# }. p) k8 Y$ S6 O  y- k8 h9 \  g6 Jto update-class-plot1 @0 S7 e1 |: i, l6 N5 D1 M
  set-current-plot "Class Plot"
* F, {5 Q4 d+ d" @' _% G8 s  set-current-plot-pen "low"
7 N! ~& E/ F) t2 `# p0 q8 o  plot count turtles with [color = red]
$ v/ Q' J: E0 f8 G( l8 f& y0 K  set-current-plot-pen "mid": [- {  m+ W, B# F) u
  plot count turtles with [color = yellow]* q9 {) V7 b" `5 B/ }
  set-current-plot-pen "up"% x- c" b) |! f& K( }5 U% H
  plot count turtles with [color = green]1 S( a9 k' g1 X- W- Z
end
9 k. m) X) V$ A8 ?* k* k; l; r, {- [6 ~3 @  `& L/ h
to update-class-histogram& V# r# F  X- I
  set-current-plot "Class Histogram"
, c+ C4 w. F& f- `  plot-pen-reset) K- s: I8 u6 o3 H6 I
  set-plot-pen-color red
# D  J9 Q2 [% q9 V( y  plot count turtles with [color = red]
! i0 z1 }2 I- ^  set-plot-pen-color yellow1 B( m; Z' O  @8 L$ J/ k, i
  plot count turtles with [color = yellow]
6 x; C7 d" _7 l: j/ C  set-plot-pen-color green* j: \& j. C- T
  plot count turtles with [color = green]
6 k) K3 l0 z4 v/ m$ L) \end5 Q+ P1 t& r9 M3 z. N6 c
to update-lorenz-and-gini-plots
- y+ T! e( \* t3 p+ W" Z. e  set-current-plot "Lorenz Curve"
# J7 B2 B% e" Z8 ]  clear-plot" K2 ]* h1 i) `" R
$ Z" [4 G1 w) `! w) u, v
  set-current-plot-pen "equal"
; |7 r, F' D( q3 P  plot 0
* B0 y, Y3 n: e8 R9 g  plot 100
1 t) q6 u4 P' x# U/ ]7 i  U; _+ _3 I$ j2 T! {; U
  set-current-plot-pen "lorenz", H- y  g, b  |' {$ r5 `
  set-plot-pen-interval 100 / num-people8 K( a, s! @# t# H  B2 n" r1 p' W5 g
  plot 0, H* N) l  d$ {, C: Z& ~
$ z) C* r7 P1 s4 l8 z
  let sorted-wealths sort [wealth] of turtles
  `# o& E/ D2 _  let total-wealth sum sorted-wealths
- {; W+ ]! x- g5 i( D" e1 B8 V  let wealth-sum-so-far 05 X- _# S7 x$ h6 Y
  let index 0
* s8 F+ f8 U5 s: P  let gini-index-reserve 0* L3 S* E; h& m* m
3 k$ S- u4 Y  v$ f3 `1 H5 R
  repeat num-people [
/ `$ W. @& c. O& z7 i; i    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)! i0 o, e) U  [) J/ Y. H3 f
    plot (wealth-sum-so-far / total-wealth) * 100
  k& h  r' |+ \8 t    set index (index + 1)
( J# X- \/ E, o& ]3 c" t3 ?% t! P    set gini-index-reserve
4 @' m: I8 m/ ?8 J      gini-index-reserve +6 E  u/ d6 h5 Y2 O" M9 W
      (index / num-people) -
2 O- i% V0 N! [# M      (wealth-sum-so-far / total-wealth)+ u! P+ y  F! S- w; j
  ]
$ [; q2 W- j% I6 Q" j" @2 I6 E/ S+ t
  set-current-plot "Gini-Index v. Time"/ E3 I3 [/ t2 W5 U6 e# X  d3 A
  plot (gini-index-reserve / num-people) / area-of-equality-triangle: ~* z. D$ P7 B4 o/ S( y* A
end
* A- J6 n8 M$ n1 i5 M( h- G' t. V  Ito-report area-of-equality-triangle1 _& i& K1 X$ \7 V$ [( {& @+ u6 m
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
. c0 F) H' M4 D7 G6 C! ^" |/ m) lend
 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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