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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9 [9 c) J7 F2 g4 Z: `
globals
3 Q4 D$ G& w( I: l6 b( U! H+ W[5 g) c- K& X0 L" {1 @
  max-grain   
( L  e- G6 P: R1 y5 i& L- {  e; z! B: `. Z$ h
]1 P6 J3 c$ y% b/ D
, G  t/ b- n3 Y0 |4 z
patches-own
( ]* D" ^0 A& g[" Z  k/ k& `8 A$ O6 w4 ~
  grain-here      
" O# m& t( ?: [0 ~! N1 }, y9 F  max-grain-here  , b6 c; I6 p9 r  \: X: h
]
' D/ S/ M% ?- |  H
4 j/ E; `: v  n* \0 i5 Qturtles-own
5 o3 O, [' ?$ H" `[
1 k' G9 s; m! M9 r4 N8 y  age              
" [0 v8 C6 T/ P% [  wealth         
; _, a; r- t/ w  P# a$ i  life-expectancy  
4 x1 g2 |# o2 Q, o7 H7 d) s  metabolism       & B+ @4 g1 o( L
  vision
- ^6 t2 m" i8 g; u1 e  inherited         " W8 u% M6 \/ y' L) y$ W
]2 a. C, z: p- N. W( j0 T5 d1 V

8 L9 e: @9 a4 U& x% C8 P& `
9 E+ @- {$ s" [1 dto setup
, c  Q& N8 F: p5 h  ca
. O0 V: M1 d6 T! n4 t6 ^  set max-grain 500 O6 Q0 M! D3 M. N
  setup-patches
% ]& n* E' D/ Q. o2 o) x. J  C  setup-turtles, d4 Z: i: P! J. U' {
  setup-plots
3 Z+ L  ~& M. b  update-plots
+ h# u; \3 D$ ]+ Qend8 c" J6 Q6 F) I; f
to setup-patches
9 z4 c& p) q: W: R$ w( o3 |1 n8 l  ask patches
: g2 J. F6 ?  H1 p- u) w    [ set max-grain-here 0
+ i+ C9 L9 d: U" a$ E      if (random-float 100.0) <= percent-best-land  |6 ?% }& k4 n0 O/ _
        [ set max-grain-here max-grain
; t1 `  |0 ~" V" V/ Y          set grain-here max-grain-here ] ]
7 }; X, T  j) W" {, c( h5 Q  repeat 5
% K# f$ s# A$ h8 g- A) t$ ~) z    [ ask patches with [max-grain-here != 0]
. A5 u% Q7 l; {! O        [ set grain-here max-grain-here ]. H! R5 W( G& W; u
      diffuse grain-here 0.5 ]$ \7 K" _5 \) _: _" Q' C: C7 g' F; R
  repeat 104 c; o5 }* a' }! f& W
    [ diffuse grain-here 0.5]         
- {' N$ T: l+ d! ?0 K; Q' j) V  ask patches9 \8 z3 p; z% o2 K" @/ z9 m* O
    [ set grain-here floor grain-here    3 P, e' p' ~5 p! m/ A5 J+ j& }
      set max-grain-here grain-here      
- C+ |  |6 p/ z$ m9 M; V; b" a8 H6 V      recolor-patch ]
4 u( v$ M" M0 c2 a0 i) _9 T, oend+ [' M5 ^* ]# A) F: u1 l7 A/ n8 {
to recolor-patch  # o/ \! L: j, J6 V' ?! ]  i
  set pcolor scale-color sky grain-here 0 max-grain
( ~- r/ d+ K' z9 iend
0 G0 s- y  ^1 z0 c/ r. a( _2 w: cto setup-turtles$ v0 R3 G! [% l7 U+ b! N5 R! _
  set-default-shape turtles "person"
+ O9 q3 P  d+ O. L6 Y" f  crt num-people
) y3 H5 J8 M/ ]5 o$ O2 y: x1 b    [ move-to one-of patches  + |1 P! X9 p, I( F
      set size 1.5  % }8 o4 t( s3 P3 U0 C
      set-initial-turtle-vars-age2 a" k6 ^1 b& T; t
      set-initial-turtle-vars-wealth
( k2 [% L2 e8 P; K      set age random life-expectancy ]
$ l3 m% S) l1 \" ?  recolor-turtles
: s: M2 l  {% U- J9 gend+ r1 k1 ]- p5 D/ ^* V, ^7 C4 |* t

# b! v& |3 P. M* `! G! eto set-initial-turtle-vars-age, z* l; M: k* g) Z+ X
let max-wealth max [wealth] of turtles
9 V' X3 \- H$ m& }    . `( g5 e/ l: f. ^& i; E# J
     ifelse (wealth <= max-wealth / 3)
1 A: V3 L& S3 L2 g5 C4 w. s0 ?( V        [ set color red
5 F: |. [& p+ F3 r1 b          set age 0  k; I) ~% ]$ P4 X* b
          face one-of neighbors4 . i5 ~& E7 i* j: M2 G7 O
          set life-expectancy life-expectancy-min +' o3 t# R+ V+ N1 q. w- z% q
                        random life-expectancy-max + J4 H, f9 m( M- b  O% Y
          set metabolism random 1 + metabolism-low( ~- h0 B% p: k! {+ }) S8 l4 E
          set wealth metabolism + random 30. Q8 i  X+ V, L7 C; r4 D
          set vision 1 + random max-vision% s. n* T, O1 o' J* W% q; [
             set wealth  wealth +  Wealth-inherited-low ]. J; F6 i: v( d8 w9 d' @0 g
        [ ifelse (wealth <= (max-wealth * 2 / 3))
- C  a' p& e* P9 f* A, @2 ]            [ set color yellow
7 W; }- w( O! k; f              set age 0$ K) Y, C: z( B( U
              face one-of neighbors4
  ]. G7 m) ~8 O6 g( V0 O- q              set life-expectancy life-expectancy-min +
) ~9 g/ V, u1 W8 S                        random life-expectancy-max + 1$ S, Z: j- u" ?+ o2 w
              set metabolism  1 + random metabolism-mid
6 W* Z% j' e+ j              set wealth metabolism + random 30
8 ^+ y4 K% D& P9 B1 i              set vision 3 + random max-vision
( D) ~' ~4 e0 `7 m* }                set wealth  wealth + Wealth-inherited-mid]# O  f1 t" N% E5 x8 B
            [ set color green - ~3 c# l0 ]$ P5 j  v9 G
              set age 0' e3 F% s& B. X1 z. p1 ]. r* T$ Z
              face one-of neighbors4
" Y5 e; f9 g" E              set life-expectancy life-expectancy-min +; i/ c8 u7 m8 E* v& x& N$ z
                        random life-expectancy-max  + 2% a* _) e0 T' [6 \# f3 k0 O9 u2 v
              set metabolism 2 + random metabolism-up
/ c$ p1 k6 q- G7 d, C2 d. g- s) Q. M              set wealth metabolism + random 30
7 f  ?5 J! I% V3 y9 l! t( Q              set vision 3 + random max-vision
0 K) j0 b, F7 F; w              set wealth  wealth + Wealth-inherited-up ] ]
3 I( ~' f& s3 d, C) D4 _% z2 Q ' K5 s, _  Z/ X' I3 |' s  y
end
; G4 v0 ]. p4 b) \+ D& Jto set-initial-turtle-vars-wealth  E7 z, N* `* a2 |
let max-wealth max [wealth] of turtles
  t1 Y1 v. M+ Q' O          set age 0
4 Q4 a* H$ `' t9 B" z          face one-of neighbors4 0 j- c' O4 x3 [4 O) p
          set life-expectancy life-expectancy-min +
' t) x1 C1 }3 w. q0 J                        random life-expectancy-max
- S5 I# l/ b# r* b4 _% B; L          set metabolism 1 + random metabolism-up' F! I, u6 r  m. {! s
          set wealth metabolism + random 306 ~" L* q" T) D( z
          set vision 1 + random max-vision
6 J% A& U; f& y* x* M9 A0 _end
) O) C  z* ^- n, Z* ?to redistribution
! F" F; p$ z5 w4 w7 ]% jlet max-wealth max [wealth] of turtles
2 E, A5 F" M4 I% `9 b) y- alet min-wealth min [wealth] of turtles
4 N' r! y5 r; o8 ~+ K. Qif (wealth <= max-wealth / 3)
  q3 T: N3 a! z4 G- t- Q [set wealth  wealth + Low-income-protection ]
1 l2 O2 Q# v0 m. @5 [end. v2 w. x: c: o+ a
         
! F) Z. f2 ?& rto recolor-turtles
7 Y; O3 X' `$ |- O% x. I  let max-wealth max [wealth] of turtles
9 |& S7 N9 ^3 x' H  ask turtles" p3 \, ^0 ^) D' Y: v' S
   [ ifelse (wealth <= max-wealth / 3)
; N  _8 M* h; ]0 v4 Q: r* L% B  _        [ set color red ]
/ ~  r' J3 z  x: B7 N# o+ i        [ ifelse (wealth <= (max-wealth * 2 / 3))
( k" x# h/ o5 T+ O            [ set color yellow ]
' L$ |; \* R* z9 v; R5 r            [ set color green ] ] ]5 R8 x4 E1 n! g. b: D  h4 j; E, l
ask turtles [ifelse show-wealth?
3 x5 A) [7 `; i0 q    [ set label wealth ]+ j6 t, K0 M0 J) I" e0 [
    [ set label "" ]], k; p3 w5 Q( K& S
end
" A2 @7 H% A! f$ N  C4 d
& q. [% q5 p7 `& O7 v" Z: @/ ito go- w+ f/ B" C$ q
  ask turtles
/ p1 L/ [8 ?7 K1 Q- P3 U" e2 G* ]    [ turn-towards-grain ]  
9 R$ z+ h: ], O5 A; e  harvest1 ~; s! b- r* X6 ?
  ask turtles
$ t- _' W+ X7 ^$ j8 u$ v    [ move-eat-age-die ]2 Z! X1 z8 z: K0 d8 m
  recolor-turtles
8 P) G8 W+ x  R3 g5 L  if ticks mod grain-growth-interval = 0
: O; E/ `3 Y, j    [ ask patches [ grow-grain ] ]
. p- M2 }9 U; s9 Z   
6 p: z, S2 m4 L/ C% S  if ticks mod 11 = 0
, J/ d- Y8 ?3 K3 v  ?, s  [ask turtles
0 Q7 c  w& y% O+ `6 D: m  [ redistribution ]]2 r" A( m) ~6 F% M0 n
  if ticks mod 5 = 0% k" u1 P# T/ J. u: g
   [ask turtles
( f0 p& S) l7 |2 B3 e  Z  [ visions ]]5 t' q+ R9 |2 I7 G( y7 v
  tick
( s$ Q* L' D5 _7 L  update-plots  f4 h$ s; u6 w
end
) e9 J$ h' A- t6 Ito visions) ]- Z6 u6 @) J. j5 I6 T
set vision vision + 1 # j9 {  T! c5 U# Z4 d2 b; b# Z) ^
end
+ U- O1 p  n) W* Y, h5 g  x* k' W- s  [( ?6 U1 x4 G7 ^; @. j: i

! C8 E# Y8 W6 y) L5 L) A' K0 [
/ u, O; \9 F. C, R' B) p7 Qto turn-towards-grain  
9 x. g% ?" ~) k3 B8 ~  set heading 0
, n6 z+ I% H! h. n, W# t+ \2 z) K6 U1 k  let best-direction 0
# g# h' |/ v8 V: |  let best-amount grain-ahead$ i# [, Y$ e, @" B7 g
  set heading 90
  N9 f: |# E4 a+ `: {  if (grain-ahead > best-amount)
, T7 N. C6 S% [' B1 i0 Z. ]" n, v    [ set best-direction 90/ q. x+ s1 Y- f4 W
      set best-amount grain-ahead ]
4 v/ K  e. ^1 _' J( c9 j  set heading 180
1 s, }: M5 A! b  if (grain-ahead > best-amount)% K% O% E' n( e" W! z( _4 u
    [ set best-direction 180
5 T) W$ \/ U/ R) ?& Q, h6 r; e2 b* W      set best-amount grain-ahead ]" F& d$ ]* W, o, z1 l/ o6 }
  set heading 270
2 g% d# i8 t8 w+ L' Q/ L  if (grain-ahead > best-amount)
* v0 R& M' G7 {& e    [ set best-direction 270/ E7 U8 D+ M) o. o
      set best-amount grain-ahead ]
3 r, x) L7 w- ]0 A; ~  set heading best-direction
1 y% O3 @: Y, `6 {6 O/ w3 kend; D1 e, D* |1 g& f5 v" C
) s9 B& I7 p3 }' ^# O& u

) O! w$ X) M5 J6 h6 {6 Vto-report grain-ahead  
  ]1 L  `8 W" \; E* f7 f5 e  let total 0
# l  B* p/ q) \2 v  let how-far 14 L0 ~% u8 b4 g) W! K; h  \9 b0 {0 g
  repeat vision6 U- ]) q% T( h5 r
    [ set total total + [grain-here] of patch-ahead how-far# C2 t8 P& w7 E/ O3 n
      set how-far how-far + 1 ]
: Y4 Q. b( ?4 N8 s) I/ d; @  report total0 n5 b; N2 d+ o' p
end! i( f) q" N6 M3 T  q

1 v1 G: \( P( oto grow-grain
4 V- j  R$ q2 Z5 F  if (grain-here < max-grain-here)
% i# B7 [+ O3 y: c9 ?8 P, C    [ set grain-here grain-here + num-grain-grown
. F, v# Q5 @( Z* [  [1 q$ u      if (grain-here > max-grain-here) " X6 U  A) |3 ?9 n
        [ set grain-here max-grain-here ]
) ?! O! X# _! B2 V8 [* f1 \" m7 Y- L      recolor-patch ]; m: t0 v; l, B9 N* t
end
* L9 T# W$ V1 A# H1 Y7 F) }to harvest
3 {8 l- I/ c" R- `  f$ U  ask turtles
- Z) g5 Y! p5 B" S5 D$ s    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
8 {3 |" n/ \% j  A  ask turtles( c% e" y' u5 N+ v$ L; f# f
    [ set grain-here 06 g4 \+ @4 ~* _) w  h
      recolor-patch ]
4 F: D" Y9 w# p3 M* E6 O  
) n. r! u% ]* `; x! E: iend
6 ?/ W7 c) @: \1 p
, ~! ]0 ]2 O! a# A2 s$ J" {: W2 gto move-eat-age-die  
) d# ^2 U% e, C$ R: o! r; q  fd 1" _2 ^* {9 F( Q$ C. }1 v
  set wealth (wealth - metabolism)- \6 e( {/ E+ F9 n
    set age (age + 1)
; B4 u8 |/ C- W3 R4 P  if (age >= life-expectancy)# c- ]+ Y2 f- }0 t0 a
    [ set-initial-turtle-vars-age ]
% w' G5 u' k; ]* n  W4 ~" u  if (wealth < 0)
; b  p8 |2 V* [% R" }+ ~! ]    [ set-initial-turtle-vars-wealth ]3 j' I" J* u# R5 R- ?- E! y- n
    5 j7 _, j/ t- N3 n. L5 I% L
end- v$ w% m3 R( t4 d8 }, I$ F

# b& H( ~9 y' r- Z' l( G
! `) T4 ~, G  v  j1 `; @/ Vto setup-plots2 b4 ^+ ]% o7 D2 G0 Y" X  ^6 _
  set-current-plot "Class Plot"
! |' T. ]0 u) `& D  I  set-plot-y-range 0 num-people
; _  L8 g: J( c( z% @7 v  set-current-plot "Class Histogram"* @; U$ w! E' l: r8 B; D( i
  set-plot-y-range 0 num-people
+ B" B& {/ P9 Q( V% N; tend" E" \! w  ], p! R
( b+ I+ v7 A5 j8 M6 e: I# u
to update-plots! W, @/ L1 u) D  }5 {
  update-class-plot
- Q1 D0 g/ q% q0 @# W3 d# P  update-class-histogram
. Z& d6 e6 w, }% a+ ]0 I* n  @- E  update-lorenz-and-gini-plots9 H. v3 b4 z4 x' O- J
end
( e# u$ D2 v% @% Y% X6 U
, g. x0 R& u. [to update-class-plot  ]7 r  e! `5 b+ l8 g
  set-current-plot "Class Plot"
7 S$ C1 ]) i0 M$ R2 b0 f5 K  set-current-plot-pen "low"5 s' L3 N2 T5 q
  plot count turtles with [color = red]0 n. o/ o" S! G9 h. |7 I; E
  set-current-plot-pen "mid"2 A9 }% w$ v( ]. B0 _3 F7 W7 J1 b
  plot count turtles with [color = yellow]
9 j9 ]/ m8 E1 Q, [1 @* v  set-current-plot-pen "up"
, q- R! N4 n" ~9 s  plot count turtles with [color = green]
6 e  _# D" h3 Tend) E& Y3 _* T* k6 v% x
# s+ b0 N& T# R" ]1 N7 k
to update-class-histogram
" b; M9 c; }7 R3 U* O0 Z  set-current-plot "Class Histogram"
/ {* T+ ^1 v9 z% `6 T5 H$ H3 d  plot-pen-reset
( q6 l2 K$ @. C0 k' K- j9 h7 E  set-plot-pen-color red
& I: e9 s/ J- G# B5 j" }- P7 C1 ^/ j  plot count turtles with [color = red]. s1 z+ Q) e6 }4 q: l
  set-plot-pen-color yellow) i4 ^, A' Y% S% @. {
  plot count turtles with [color = yellow]' u. t. |+ I  ^) x, T* n6 J
  set-plot-pen-color green4 L' H* C' b  B% Y5 C  Y0 e) `! o0 \
  plot count turtles with [color = green]) V( K2 O* K0 g
end
; w- n& T' Z+ o# |/ S/ B9 Mto update-lorenz-and-gini-plots
! s' v" w- x6 }7 ]( r: Y( m  set-current-plot "Lorenz Curve"- X5 u  O' q% u5 q4 @  w
  clear-plot) S0 W6 X. X" I

8 d  X0 N# n% [" _+ g: ]  W+ |  set-current-plot-pen "equal"
( k& a6 ^& i' s* P2 u  plot 0
: ]: Y) l6 ]6 g; f1 ]  e. `  plot 1007 S8 j9 M- [: s
- y* s# X' x- V# B7 U7 t
  set-current-plot-pen "lorenz"# u$ X% k' Q* S% r) C
  set-plot-pen-interval 100 / num-people
  k1 t1 }7 }" j5 s2 [  plot 0
3 v: z9 }; a: F% r2 b( B
# K$ D8 S$ J" I' X  let sorted-wealths sort [wealth] of turtles
9 @/ _3 y* Z- n0 z: U  let total-wealth sum sorted-wealths+ [- s0 Y! F( U5 K* g+ Y7 G# R" G3 x5 b
  let wealth-sum-so-far 0$ B7 W! A" R; W! {# `. v- c
  let index 0, N* M9 S" Q- I/ i* T  {
  let gini-index-reserve 0' c4 u/ I9 g* ]+ w0 K
6 I5 L8 s- j; t4 E. o4 C: p3 L4 D
  repeat num-people [
% \/ R7 M- b7 @* A7 Q    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
+ v/ O% W9 n7 g: f. g3 ?# @    plot (wealth-sum-so-far / total-wealth) * 1004 X$ ?# x/ m* B. S" k5 O& _% _" p  o! |
    set index (index + 1)
* \8 }9 T/ T, V    set gini-index-reserve
7 c- Z5 |( ~/ S% B  O% s3 ]      gini-index-reserve +
4 R. p+ X- n" i! y! R      (index / num-people) -
9 M# J. J) ~5 G$ q' `0 i* c* t      (wealth-sum-so-far / total-wealth)4 k" Z$ Q: e$ g/ P5 d
  ]* G. |& f- s  s- s
8 J8 Y2 _! D; C) S) p1 d- F
  set-current-plot "Gini-Index v. Time"5 a  `& L' ?* T% X. k  ~8 G& D
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
  P; t# ?& r7 ~/ hend6 \& y7 j' P' T  j/ V' a
to-report area-of-equality-triangle
; R/ P% m$ O. f1 k. i! R  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
8 d6 c' K; F& n; ?1 c% V# Send
 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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