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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" i$ `" q5 [# V& k. T- [
globals
- m! n3 x( O- g$ U% @[8 B* z" _3 G- m" [
  max-grain    2 r2 d  X' L* j1 d  k1 O" n9 W

' `. I$ e9 y! O% G. K* C) B( s. Q]2 l, g+ ]! }* s# `" ^# P, l( Y
- e# q- {! i/ p
patches-own8 x, P: t& R9 I% h% C5 X
[
  D+ ^5 Y2 Q  s6 @  O  grain-here      # @0 u+ ], @# t& B# @# u. o
  max-grain-here    \( u% W# N* d+ Q! z
]
7 L" T# \6 |  n4 E& y: F" Y
% C( ]5 f" W* S, x* Fturtles-own
/ ~( I7 H% y& \2 w6 u5 D" V4 B[2 y- V# m' z3 o
  age              
2 O/ m% I% v" E4 }, h  H  wealth         ) t1 @* v! m, u9 \0 A% D
  life-expectancy  8 |9 M3 ^& F* ~6 A! T) A3 J
  metabolism       - c' D: D0 r8 ~" L
  vision
9 g& \7 C) l! ~2 [2 v! v6 B. k# `  inherited         
( y& A4 ?* O$ e; e0 q  P+ l" j" C  @]
# b& Z2 q9 a8 H  ]7 z9 O8 t3 @* U
3 h# a( r. `5 ?1 [# ?
7 D% {% q& o  |. R/ X/ K: mto setup: Q7 _% U3 |' ?6 y% \: q9 b" P2 h
  ca: C9 B8 T# a  w# ]- B$ p& K
  set max-grain 50
5 F+ [6 D( O5 z+ u0 u2 u, |  setup-patches
# Z) i, a. ~  C  setup-turtles2 n! v& }1 M: C1 V2 r$ d, X
  setup-plots
; C9 c, g/ ~, f9 K, t: t! @  update-plots6 Z4 N! P9 U+ Z1 g" }
end
" J/ [3 L& G! b( A; p4 ?to setup-patches
6 x& F0 ~7 Z7 y' Y* b, b" g& A  ask patches
! F3 c2 a* |8 R    [ set max-grain-here 04 V! R7 [: ]4 P3 [. H# t
      if (random-float 100.0) <= percent-best-land
' v* m% N% H+ M3 f        [ set max-grain-here max-grain
7 E- f3 r9 x$ n' |          set grain-here max-grain-here ] ]* B0 Q$ T) y7 X% O
  repeat 5, [3 L+ a! j# f
    [ ask patches with [max-grain-here != 0]
7 ]0 o& {% {: [5 c        [ set grain-here max-grain-here ]: k! Q- Z' m% b+ O; [
      diffuse grain-here 0.5 ]
/ w3 ^6 w7 m9 ~  repeat 10" T' L& p" H& a
    [ diffuse grain-here 0.5]          ( K# w. d; |- s& L  A1 s
  ask patches
/ d$ X3 w9 }; ]) ]% t    [ set grain-here floor grain-here    % T$ Y; Y! j5 p7 j
      set max-grain-here grain-here      0 Y8 u1 S7 O& U+ C3 y6 w2 J
      recolor-patch ]
% M3 R6 U; F/ ^6 P' {% K3 Uend3 o6 W% ]. G% ]' |
to recolor-patch  
/ L! T! \7 M& J$ A  set pcolor scale-color sky grain-here 0 max-grain& u( e1 H0 `4 J, I) S  D5 Z
end8 i0 p$ L$ S+ i5 {
to setup-turtles
* m- ^. ]8 {1 t6 L. D, {) }" S  set-default-shape turtles "person"
$ s4 G1 a- \+ q$ o' }5 Y  crt num-people
+ N# Q3 L  u9 S) G    [ move-to one-of patches  5 N- q1 \7 |4 R1 h% [$ a! F
      set size 1.5  
+ e$ X) a) T& g) C. M      set-initial-turtle-vars-age
( J" c, U" c9 c% |( I) ~" s      set-initial-turtle-vars-wealth1 |; k% `2 B: K* R
      set age random life-expectancy ]
, A; V* Y" D+ z, ~$ D, ~8 w8 B  recolor-turtles
7 y' I: k, W  L7 T. j% Mend
) x6 g! k( |, n8 |$ e; I, ~' x* A- ]3 q- t/ U( z2 J3 a
to set-initial-turtle-vars-age( o3 W1 v5 A5 z# |
let max-wealth max [wealth] of turtles" e3 Y9 Z3 K9 C$ X* b0 q
   
: @" K( {/ I; j) x6 Q* ]' |     ifelse (wealth <= max-wealth / 3)
0 @# b+ [; W: t        [ set color red
3 a1 b4 N1 K* I! R! j          set age 0- Y1 D* g0 V. j; n' p
          face one-of neighbors4
' B/ N8 m5 C- V! \6 R* h          set life-expectancy life-expectancy-min +( c5 |* h/ u4 r. T& G/ R
                        random life-expectancy-max + i0 `: r/ R( S- X' ]- |
          set metabolism random 1 + metabolism-low% D9 P5 g" v1 }4 y6 k# }+ w
          set wealth metabolism + random 301 V: ^2 V8 t, |2 w6 k
          set vision 1 + random max-vision
6 Z% h, P% O8 S4 a* o             set wealth  wealth +  Wealth-inherited-low ]
- G5 R% S2 R9 U2 j- x        [ ifelse (wealth <= (max-wealth * 2 / 3))( F$ q: H- {' D/ G) P; L
            [ set color yellow 3 ~; H5 k8 n. [( {8 q2 o3 O, V
              set age 0
" `) ?( _( c  F+ l. `8 }. ]  M' H( F              face one-of neighbors4
8 r3 M, i  S& g' P1 d              set life-expectancy life-expectancy-min +. V6 l) v5 y. Y0 t" Q6 ^7 X. d
                        random life-expectancy-max + 1* U1 G- I  H: Y' B
              set metabolism  1 + random metabolism-mid
% o7 w* N# T. G* j              set wealth metabolism + random 30  j( g  s9 K3 c# _2 H
              set vision 3 + random max-vision
! K. U- B3 S7 [0 S0 M                set wealth  wealth + Wealth-inherited-mid], w4 [7 \% E4 Q- c- {& n9 v. Q3 \
            [ set color green
8 H3 a+ T* F% F( M              set age 08 \/ p% L, m7 ~9 x
              face one-of neighbors4 $ r3 P1 n" }' N. v
              set life-expectancy life-expectancy-min +
9 B6 x0 K: t) \% x$ n0 |- E                        random life-expectancy-max  + 20 d! A9 X7 A3 f) Z/ O+ j9 \
              set metabolism 2 + random metabolism-up! M; v! B* {1 F
              set wealth metabolism + random 30& r2 k' C2 X& j( K* L9 `
              set vision 3 + random max-vision) Q' I% a" C. h2 B
              set wealth  wealth + Wealth-inherited-up ] ] $ p! X5 [' n2 Y: [" H: \& |
! P; R0 k7 P7 o3 \! l
end9 O$ P( D' u8 y( y
to set-initial-turtle-vars-wealth* u( m& @9 }5 C9 A$ f. y
let max-wealth max [wealth] of turtles
2 l* @4 ]4 \" k          set age 0
; E' d# Y& O4 T  W" V4 a          face one-of neighbors4 ! S8 N$ f" |2 U3 Q, |# o$ P
          set life-expectancy life-expectancy-min +
' n2 H  H4 E! ~1 X& F                        random life-expectancy-max
0 y2 Z* B1 s  [" h0 [0 ]          set metabolism 1 + random metabolism-up8 J3 o" d" }; S8 V6 t9 u
          set wealth metabolism + random 30
5 j1 {' m7 E2 ~1 M0 N" j          set vision 1 + random max-vision
' k, s% d- Y! J9 J- Aend
8 @" O- J: H/ }  nto redistribution
6 A* r6 s; i" Q9 l! W! c: Zlet max-wealth max [wealth] of turtles
# ]% J# r+ R) ^; A+ ?6 [let min-wealth min [wealth] of turtles
$ X: b; d% d$ Y* @  A. L! nif (wealth <= max-wealth / 3)
7 `. k% N" W* \* z [set wealth  wealth + Low-income-protection ]
+ \7 v% L+ B8 P+ X  Lend: }5 {+ v: }8 q/ s( Q6 ~
         
4 J  S) l6 i& B4 r; Uto recolor-turtles7 q, C. w. n# l# [: O' u
  let max-wealth max [wealth] of turtles
. Q3 w+ C) `. n! d- i  j& O6 ]% X6 z) h  ask turtles
; f& O' F. B$ r8 r0 Q# A   [ ifelse (wealth <= max-wealth / 3)
1 ]8 k! p7 s5 k# [/ p' t# T        [ set color red ]- h( ^2 q- w0 W( ?8 \# X6 C
        [ ifelse (wealth <= (max-wealth * 2 / 3))
7 z1 B4 S$ Y3 r7 \            [ set color yellow ]8 j5 s- S! e- E8 f" v
            [ set color green ] ] ], w. v- O' E: y2 k- m- a) [. m! Z
ask turtles [ifelse show-wealth?6 j" d; ]/ I: p. C0 Z( j
    [ set label wealth ]% n! f) k  v$ o" L8 I, _
    [ set label "" ]]1 g; D" ~5 w9 f
end# l% S& }  ]) B" B5 \8 D; ^

7 I( |. M3 V/ Fto go! x3 a; K( U7 o; E( Y
  ask turtles
! l3 b4 O3 k. j/ m! d# C    [ turn-towards-grain ]  
& z0 R5 m$ k, L! p4 ]5 D  ^. W5 v  harvest
+ r; j* F& L# K5 J! X2 {  ask turtles3 p) c2 X$ A* W1 u" {$ w6 r* S
    [ move-eat-age-die ]# p: ^2 F, k6 `
  recolor-turtles
; d( c& V8 c  R! q  if ticks mod grain-growth-interval = 0& J4 ^& J; {9 Q  _# p# ^
    [ ask patches [ grow-grain ] ]
) V% Z, a  w2 `+ u   
8 f( W1 Y" S9 V" [! w  if ticks mod 11 = 0
% t. [7 Y) i* u' F  [ask turtles
" \. h/ r3 F5 N( I  [ redistribution ]]
6 i3 Z" S4 D# d1 x( l4 v  if ticks mod 5 = 03 V* z8 [/ q. `0 D  ]7 L7 X
   [ask turtles
0 u4 Y* b8 ~) V* k+ m  [ visions ]]/ `# \: J) }; Q8 W
  tick
7 N+ V# V' K" |" @  N0 v  \  update-plots2 j5 V# Y$ w1 P1 j, R
end
- }1 p# [4 M, Fto visions
, B* r* c) z) d# z set vision vision + 1
/ P0 D4 Y, T* H7 @0 J% z1 cend/ c+ y# {) V8 g% W8 g
0 r1 S  S. Q) \9 E& `6 ^- U
+ S6 z& N) C) w: `* a+ H0 R+ r# X1 X
/ W: j: }0 H" ~/ u
to turn-towards-grain  
/ p+ c' h# c5 N2 n  set heading 05 ?2 Y( p9 A8 D5 g; s
  let best-direction 0
, C" U! O( n1 a) C0 v( d  let best-amount grain-ahead
& O9 ^1 o0 n) b# i7 m  set heading 90/ U6 P& B7 S: w5 m3 L8 r9 E! v
  if (grain-ahead > best-amount)8 b: C* n- c, a) D
    [ set best-direction 909 Z  I% `2 o8 h
      set best-amount grain-ahead ]  h2 [3 N; F. m
  set heading 180
7 B6 {) g/ T  t, f  if (grain-ahead > best-amount)
" @3 V0 g' D4 {1 X0 ^) a) N    [ set best-direction 180: z+ F( ?, K) a! E7 @+ O  V
      set best-amount grain-ahead ]
# Y0 t" W: M* z1 ~5 k. k& m9 }) @  set heading 270' B; \; h* v2 B) I/ f
  if (grain-ahead > best-amount)
6 G+ Y) V! C% u8 K' h) ?4 p    [ set best-direction 2708 v" w; @7 I) V) g; ^- ]3 C
      set best-amount grain-ahead ]
, @* C3 g% @& c0 W' m0 A  set heading best-direction/ [1 _' \/ V( C/ B6 y  s9 v, x- G
end4 i8 ?8 G& `( I2 E5 C
/ Y( h1 K& s; z% R

; x" o: J" q! H- }$ nto-report grain-ahead  ! t! r9 H7 n$ P
  let total 0
5 U! O# [& r# Y  let how-far 1
5 d& s1 W4 H" I' J( r% l3 t# j  Q6 X  repeat vision5 T# ]7 O2 @3 i: Y, o( \! S
    [ set total total + [grain-here] of patch-ahead how-far. c0 }! `/ l6 _3 L
      set how-far how-far + 1 ]
" ^) g( N6 O0 F0 u/ |2 K  report total
" K1 U2 E! G& O; {  J7 {$ }% s% H9 Gend
( ?. Y9 o& ]' _' @7 E/ a
5 z& v) a0 I, b  y% a& x4 xto grow-grain
7 {5 `3 L) M- p  if (grain-here < max-grain-here)
- U/ N8 b! c+ D8 T8 _    [ set grain-here grain-here + num-grain-grown+ v8 H/ [  S. n# z( u
      if (grain-here > max-grain-here)
3 {5 t& F2 D, m8 c; L! ]        [ set grain-here max-grain-here ]
, e/ `- ?0 y) s8 q' b      recolor-patch ]
& \8 ]' }$ a+ N7 N. o9 [/ [end
7 E. L; }4 f0 B8 E9 P8 Tto harvest7 h" I, |; `* {' C% G
  ask turtles
  n2 y* x  G6 S) M    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]( a/ D$ l7 h0 e: b% c3 @7 P% ^
  ask turtles
4 I5 G4 I  ^: J2 S# G# H3 p* V' q4 L    [ set grain-here 0
% }" W- H3 H: t& K: @) k* }( u      recolor-patch ]
  X5 e! W/ {2 @+ a2 p: [: \$ r  % }$ Y: }( f, P6 [: c
end# _  S9 I1 a( z' J$ Y# \
. P" P! g" X9 }. J# B/ D
to move-eat-age-die  
' ~: m, ~4 p+ B6 W, m0 o" Y$ n9 L  fd 1
4 g$ w! m& p5 }; S1 o) m$ g  set wealth (wealth - metabolism)
6 l7 G& z* V6 b9 Q    set age (age + 1)
; E5 x$ Q4 M# a6 ?- {* Q  b4 [9 W8 h  if (age >= life-expectancy)
4 o7 c" g. G5 Y5 b    [ set-initial-turtle-vars-age ]+ E! p( x: x% @! H3 G
  if (wealth < 0)  `4 |4 \- K9 v+ G
    [ set-initial-turtle-vars-wealth ]
( B& `! f* D# G! X   
- Q3 v" y! P0 W% K: m" bend
# u7 u6 L7 @% a& F8 p% }' E  I* k5 _

/ r  Y7 \3 M: e* R0 sto setup-plots
+ W2 R2 I7 I6 E: q/ w# ]- n  set-current-plot "Class Plot") A* J5 u3 d- l8 }
  set-plot-y-range 0 num-people
& h; i) J4 j: b5 b4 a+ u# w7 k  set-current-plot "Class Histogram"6 Y+ U" o# O9 V" l
  set-plot-y-range 0 num-people0 u9 M: ]4 Z; e) J6 ]
end
& D2 u" D( J8 S
( T" w+ \7 w, j  Uto update-plots
6 [) u9 `8 l6 S: Q! u  update-class-plot, q- Z) K, P: n" _! x0 `
  update-class-histogram
. E* ]  C& |. d: v$ m( _, f  update-lorenz-and-gini-plots
/ f& j; W# l" b+ S* r1 R6 g" xend
9 u/ D; M) Y  m: t' ?# u8 e  T5 |# k3 Y3 o
to update-class-plot: F# h- J# g; f0 S% Z
  set-current-plot "Class Plot"
- Y  j2 S( c% J7 o/ F  D) @2 @  set-current-plot-pen "low"
; i; n+ F; N( J  plot count turtles with [color = red]/ f4 R1 I% g' ^* F
  set-current-plot-pen "mid"# Z: F2 `6 x: a3 _
  plot count turtles with [color = yellow]6 _+ `3 P7 o+ Z+ H5 Y+ v! [
  set-current-plot-pen "up"4 i/ L3 l$ F# X" e% X
  plot count turtles with [color = green]/ \( D: i$ R) s+ _
end" r8 C+ G3 e/ D' v3 `) g
2 S- ^6 ~3 x: l+ V7 e& Z
to update-class-histogram
7 j% k/ R1 \- {: ]  set-current-plot "Class Histogram"
( n+ J: G, n, F5 G  plot-pen-reset3 s+ h9 g' h/ F' l- K; P9 }
  set-plot-pen-color red! x3 x+ \5 H" b0 A8 T# h
  plot count turtles with [color = red]
% Y  `. w- Z4 `' W' W  set-plot-pen-color yellow6 G3 y( q+ C! l5 d/ J1 q
  plot count turtles with [color = yellow]
1 r* M' m( O  i2 e' y  set-plot-pen-color green4 p9 e7 S* ^6 O0 x% [' Z" }4 J
  plot count turtles with [color = green]
/ `0 o+ v8 H& j4 x# Q. _end
! B  a1 I: W1 _5 H) ^$ D- Wto update-lorenz-and-gini-plots" H9 e+ v# Y8 a/ E+ c7 n2 Z  I
  set-current-plot "Lorenz Curve"
$ Q& |1 p  A' N# e: p) M7 ^$ l  clear-plot1 w' R6 b; a9 r& I! \: @8 \
& i2 A- _. ~6 [, v9 I) r. `
  set-current-plot-pen "equal"* u+ D0 ^$ t4 Q% p0 |- t; s, G8 X2 X" w+ c( P
  plot 0/ Y& M2 ~8 p' x3 D) Y
  plot 1004 j, }  X0 J5 A3 d8 X- W4 ~
  q" ], n4 k2 M8 N; v5 k
  set-current-plot-pen "lorenz"& a$ s3 q" ^% X$ c" T0 H( o0 S, _
  set-plot-pen-interval 100 / num-people* `: b  o6 J) h8 u% ?
  plot 0" ^! j" L5 a# @- q" \8 \6 `

4 [/ X) n' e) [  let sorted-wealths sort [wealth] of turtles* X. [* w+ q. G- [8 O/ }1 h
  let total-wealth sum sorted-wealths% L* H3 a: [: n" E- s. L
  let wealth-sum-so-far 0
$ T5 J& K3 ^% `- i2 ^* w) n1 A  let index 0
# t5 k- B; g) ?# P2 Q2 A  let gini-index-reserve 0& m- Y: M0 p; D

  Q; `. d5 I3 ]; E+ f  repeat num-people [" ?- F+ X. m3 F) u. a7 N: C
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)6 W- n" t2 e$ W3 O
    plot (wealth-sum-so-far / total-wealth) * 100' }" i  p& j# S9 ~4 `- {6 O
    set index (index + 1)
' Q* m5 b0 |" y3 Z+ p# n    set gini-index-reserve3 i& g0 _  l5 s3 c8 S. I& f: E9 p
      gini-index-reserve +' a6 H3 T0 S9 R$ M- a: p
      (index / num-people) -, j8 T# ]* i7 Y- c; A. t
      (wealth-sum-so-far / total-wealth)
$ Q% n# A, L/ K) F6 t. M! K2 m- t  ]
: V# o8 D4 Q  i. l. e! [+ m+ s" c3 i8 r5 ^/ n
  set-current-plot "Gini-Index v. Time"
# v! w, G$ i  a( u- V  plot (gini-index-reserve / num-people) / area-of-equality-triangle
( z6 _$ F, g; ?+ b0 Fend2 L4 ?7 p' c7 t' \3 C7 x  v
to-report area-of-equality-triangle" N+ k" V+ |' T2 K# c7 {1 j# ^6 J
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
3 ]. h  ~5 l: X$ X/ Cend
 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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