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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2 r7 U+ a! g) u. x/ u  z" K, u
globals* r8 p% o5 W  y% N7 k
[
; m. k& n! i) e8 c2 _  H. X& W/ Y  max-grain   
8 L/ `/ @3 x- }1 q) z7 P1 `2 y. H" d" Y$ q$ C. g% f
]
) R, S5 T1 B5 o2 [% T+ t5 H' v( l/ |1 _( o
patches-own
) L" \! P" ^& @[
+ C# Y* q9 D/ }8 V  grain-here      + h" R0 G& H& @# s+ D
  max-grain-here  0 C& m6 H) s) L7 E6 s( g6 A; G
]8 \1 Y  l: `! r2 B  ~
- j* I0 U" |* E+ G. q% [7 [/ c! p
turtles-own
0 J0 L8 b8 _- i7 ?. g! C$ U0 ?[8 Q: E% V4 t9 d3 C3 A% X. w: u- S. f
  age              
) |# g1 Q; Q2 {2 L. A  wealth         
$ C! A8 e4 L! ?9 o; z  life-expectancy  
' _# q$ f+ n3 Y  metabolism       & J% E$ ~+ B5 d! g: K) [2 K: Z
  vision# U3 Q# Y& Q1 b! t( |$ m; h0 [
  inherited         : O4 O7 e/ P# }3 y) I3 d$ I! q* }
]
+ M8 v, ^9 }6 I8 O: s7 k
  y% O1 t1 W9 v4 S9 l0 }0 \  g2 Y. c( t" [& o
& l1 H' f- w1 p6 k4 A. ]4 Nto setup
; a* J' Q" a* w0 n5 {/ s4 ]  ca' m1 z% ]& N/ B2 e$ _1 t
  set max-grain 50# I8 ]" K3 R  _! ?8 D: `
  setup-patches% _& l" K: M1 F: P! O! N. @
  setup-turtles- z2 ]  P6 i6 d  s( c% x+ [5 D3 ~
  setup-plots6 h6 Y5 O# d& g* ?3 T
  update-plots
, g/ f3 I9 D7 G. C. Z  h: Xend+ \5 [; r4 n. `! L6 |! O
to setup-patches
: ~( E/ `' k: Z; |( ~/ T) i  ask patches) G5 Z0 w' t6 P- i1 b4 ], `
    [ set max-grain-here 0* w$ I) c2 x5 q0 U1 ]
      if (random-float 100.0) <= percent-best-land
- U; }7 p. \" u        [ set max-grain-here max-grain
( }! W" C. E) n6 f2 I" q' J          set grain-here max-grain-here ] ]
' k% v/ c) J# U* a+ U  repeat 5
$ v1 a4 }" g' s6 Q8 a6 a    [ ask patches with [max-grain-here != 0]! G* ~7 z2 f5 i
        [ set grain-here max-grain-here ]6 ^' N3 k4 e3 B
      diffuse grain-here 0.5 ]
" J* T3 N! o& m7 m) `) k  repeat 10
) I) Z) L  T/ i& m' H% A3 s' G    [ diffuse grain-here 0.5]          , [5 U% a; R3 T, X1 k
  ask patches
3 A; V+ @8 A; u    [ set grain-here floor grain-here    5 Z# u* e# u) d% e# i
      set max-grain-here grain-here      9 K- W# V+ X  Y/ _9 K$ B8 L
      recolor-patch ]! A8 M, H  u  J- ]
end" p3 V" f6 S# s8 v) }2 W6 ]. f
to recolor-patch  4 G) n4 V' o% F! q* f2 ?, B
  set pcolor scale-color sky grain-here 0 max-grain
0 m* D3 H) l" q" h7 [9 Dend
( U5 l+ W+ a& o" Q+ q  @to setup-turtles, H1 f8 }$ f1 N) u% S% l1 w& t
  set-default-shape turtles "person"
9 q3 I2 k9 _* B3 ~! D* y  crt num-people
) ^- y1 [- g3 B+ N. R8 W    [ move-to one-of patches  
7 j9 m9 m9 ~5 t. C, @; m      set size 1.5  
: l$ ?- C. ?3 f# z! Q, F      set-initial-turtle-vars-age
% s$ z% r1 d8 j1 z+ I  o      set-initial-turtle-vars-wealth
0 l, e4 g9 t* m3 I# Z      set age random life-expectancy ]0 I- r6 k+ W+ d# n* {1 N2 u
  recolor-turtles) k& a4 s7 J+ R3 O! W
end
* R! w1 z- Q+ H
: g4 ]1 Y: N+ n$ O! Uto set-initial-turtle-vars-age
: `$ a4 Q8 d/ K" t* w8 q! b let max-wealth max [wealth] of turtles& H+ ~  g% H5 x$ F$ r% l8 o; o; j
   
  B. C6 P/ d/ j: ?. ~& B     ifelse (wealth <= max-wealth / 3)
/ A: l5 F6 A( \1 u        [ set color red 6 F( P2 `' \) a+ |8 o, w
          set age 0; |. N7 Z3 m8 Y8 {: G) _! b
          face one-of neighbors4 ' T4 M/ Y2 o8 w2 h+ E
          set life-expectancy life-expectancy-min +7 |, \" H  N# M" i
                        random life-expectancy-max . N# T# v9 f3 K2 X) i5 p6 N
          set metabolism random 1 + metabolism-low
" D( P7 ?+ v& ]2 t6 L          set wealth metabolism + random 30" x# f1 V7 y" S, B
          set vision 1 + random max-vision! r0 Y! V/ x! g5 }7 d
             set wealth  wealth +  Wealth-inherited-low ]
& C0 H' m% t  N' K/ Y) t        [ ifelse (wealth <= (max-wealth * 2 / 3))
* B& @' t5 y. {            [ set color yellow
7 h8 T  k/ g6 p- y% M7 y) L! C9 g/ U              set age 0: M$ h6 v# M( v
              face one-of neighbors4 . b, P$ z+ G) M7 l, A% U1 A7 c# V
              set life-expectancy life-expectancy-min +* R: S% F5 ?& E; k" {, d. u
                        random life-expectancy-max + 1# F( \$ F  l( Z/ h( j
              set metabolism  1 + random metabolism-mid9 L) n* H5 ^  \/ [7 s4 L
              set wealth metabolism + random 30
% c7 S8 o& u* @1 A& H5 v. H; o              set vision 3 + random max-vision' w* R3 o  R, \) M7 A! \
                set wealth  wealth + Wealth-inherited-mid]
% L- G2 Q7 S$ l, K% ^5 L% r            [ set color green
# W3 g& v1 Q6 X4 c+ c) R2 l  Z( u              set age 0
4 s/ M& p- i" f' {1 \              face one-of neighbors4 ! H/ e% z; v/ {0 a& }( g
              set life-expectancy life-expectancy-min +
# _0 X3 c7 W" \                        random life-expectancy-max  + 2/ h8 [- Q* z, n8 x( r
              set metabolism 2 + random metabolism-up
2 w' s0 \7 d9 Q8 c              set wealth metabolism + random 30: x8 {! \! y% \4 [4 H
              set vision 3 + random max-vision
1 l$ r4 C  H. o+ e: E# D              set wealth  wealth + Wealth-inherited-up ] ] - ~9 X/ M9 b) M% K

, n8 a( |/ c/ ^+ N) i) D  bend8 }. _3 s8 Y9 U; f1 `: u
to set-initial-turtle-vars-wealth8 B4 c+ i3 L3 ]& ?
let max-wealth max [wealth] of turtles
9 q3 d% R0 V3 @, D          set age 02 g: l: u4 J. L& t8 z  _
          face one-of neighbors4
  n! z$ c+ a9 A6 |! ~          set life-expectancy life-expectancy-min +
# ?7 ]" N* W$ g7 W                        random life-expectancy-max
8 {$ |% U6 ~- E6 o          set metabolism 1 + random metabolism-up
* S7 A5 H) g: {7 y  _          set wealth metabolism + random 30! D2 `3 ~% \8 |9 `' u
          set vision 1 + random max-vision 6 B" K- o8 ~5 S7 L- @
end' |# R* b( Z. h5 W' f& \, e; j
to redistribution
3 [# W4 c5 w% N. t2 O$ i7 D- `+ llet max-wealth max [wealth] of turtles
. Z, u. x  e. w0 wlet min-wealth min [wealth] of turtles* w, `1 i3 U& O0 S+ y' ^
if (wealth <= max-wealth / 3)
( S  T+ B" m- u% R [set wealth  wealth + Low-income-protection ]
: l4 ^$ ?0 Q. b3 Q5 gend
- s" \% v* b/ c% g         
  C! l( C% c7 N; i5 Xto recolor-turtles5 y7 J: ~! |& Z, c
  let max-wealth max [wealth] of turtles: e% V  y+ A% y4 I- K$ W
  ask turtles2 M$ v, E% t- O4 N+ s2 D
   [ ifelse (wealth <= max-wealth / 3)
0 `& l3 B" _1 O& q' f6 A' T. B2 E        [ set color red ]& a- i/ m' i! {2 Q2 A9 T( z
        [ ifelse (wealth <= (max-wealth * 2 / 3))# l1 M3 e' k! n  K* h
            [ set color yellow ]! |& b: h+ q5 L( ^$ H
            [ set color green ] ] ]
0 m+ K; i* C: p# h7 J9 s ask turtles [ifelse show-wealth?( d9 _6 M( v- u+ U
    [ set label wealth ]  j2 C! I+ }) j$ R: h# e. e
    [ set label "" ]], F* ?  G0 T' ^, c& t7 ~
end5 }# A0 X* s' J  R' C, d( j6 p1 m
' ?* }  l0 y7 G6 }/ d/ t
to go
- d+ z( g! F# i7 u. y: n  ask turtles9 K5 Z" r8 ]8 f: y" q0 e' n
    [ turn-towards-grain ]  
) b. y$ l1 A2 |- W7 S  harvest0 T1 V" v: ~7 x! z& f' r0 O2 R
  ask turtles  g! a, x8 B7 G, w1 M7 j5 k
    [ move-eat-age-die ]
0 Q: q  [" m! y' `  recolor-turtles
5 _% B6 e9 V# U6 ^8 A  if ticks mod grain-growth-interval = 0
0 K& Q. Y0 k1 ?7 S( |7 w' Z    [ ask patches [ grow-grain ] ]: o8 M  F2 W5 J+ B
   
6 r; j6 a6 O1 p. e/ e' g+ i7 B  if ticks mod 11 = 0: c$ V+ B7 Q# q2 @
  [ask turtles; O; c! |, C' q/ P
  [ redistribution ]]* C. `4 {# W5 ]( T
  if ticks mod 5 = 0
! H' p) T- p4 s- G( l+ `   [ask turtles, ^/ g4 ]5 N+ H4 A7 }5 n) `' S
  [ visions ]]
  f1 w4 z1 c6 `7 U* g) J  tick
8 B; Q0 t, V1 k4 Y; R0 F  update-plots
, K& ^9 t2 O9 R9 l2 [end
( H+ B7 ]) v: g# pto visions  V; J) A8 f  c
set vision vision + 1
; B4 g7 g4 o+ Z4 |end, @2 ]; L: O; f. I5 `5 E; y

; A9 G% J1 T" |2 ~: w0 L' c) f! _  p* y

2 y$ N8 W# q$ K3 Q5 j* Wto turn-towards-grain  
, ?5 t- [7 t7 W8 q! R- n) _  set heading 09 ^. t; s( J* q/ l; z6 L3 |
  let best-direction 0* ^. r, t# n9 ?( a) T* h
  let best-amount grain-ahead
% b& Q8 h  Y6 D( A1 T+ Z7 ?  set heading 90
) N( v  O1 R7 O  X/ S/ n8 l7 y7 X  if (grain-ahead > best-amount)5 ~& ?3 S& F, t
    [ set best-direction 90
2 D+ G- @2 h$ t      set best-amount grain-ahead ]
+ y( c4 U8 ~) i. P, u  set heading 180  b" L$ P* z' q% @) _5 ^
  if (grain-ahead > best-amount)
8 M% R! o3 b% F% E! J+ p    [ set best-direction 180
! d: \4 X9 q# S$ ?' T5 @7 j- C      set best-amount grain-ahead ]
  z9 N, r- ]7 d" N# \  set heading 2703 k' V/ f) J/ g+ y9 v4 t  b6 I
  if (grain-ahead > best-amount)
- [$ I$ w- }, G2 G0 m& F    [ set best-direction 270/ H8 H6 J2 i- q6 B2 D
      set best-amount grain-ahead ]
* e1 J, _3 ^7 p3 o  set heading best-direction9 e, |" f$ s9 |) @# v4 K
end. z( }; t/ d, C# a: u

. o3 H$ H9 _# V
. h0 N& N7 `3 t$ A. xto-report grain-ahead  1 |2 j2 O7 y, I( v
  let total 0" o* o8 C  e8 G7 m/ N( }
  let how-far 1
& o/ \: v3 V0 p  repeat vision# g1 a2 B7 e) _0 \+ v; H* O' W
    [ set total total + [grain-here] of patch-ahead how-far, I" D4 G( U$ ~$ x
      set how-far how-far + 1 ]
* J/ F: M6 H3 d' P  report total/ n1 x7 t2 Y4 v3 i1 t: D& z
end
+ s4 |# X8 `; p3 G' A# F
% a- |  Q- }; m* I: x* Vto grow-grain
& _5 u: D! O. K. B! y( h" p  if (grain-here < max-grain-here)" X% O# E! F: p' g- c
    [ set grain-here grain-here + num-grain-grown" l& ~" [- \' ?) ?
      if (grain-here > max-grain-here) % p# w0 Y2 e# s. N1 \9 \
        [ set grain-here max-grain-here ]
5 u% @0 W0 W' b5 j      recolor-patch ]
! Y! O7 \' @) G9 c, I6 M' Send% t, N% }4 N0 D# X8 v! n9 ]9 N
to harvest
& t' `, |, [% L& i  ask turtles
2 ~8 m) s/ h; F" G6 j: K' m; T    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
* Y" Q. r* E3 R" D4 C% g  ask turtles
6 ^# T/ o4 A% W    [ set grain-here 0& P' e* [' b. K
      recolor-patch ]7 ], M% U- ?; c' t6 d2 t
  
+ |% O" j( L  ~; Y+ ^9 B2 zend
# ^3 \: Y& X$ U8 C: ^+ Q) L; x$ G: O, X/ H4 Z9 u
to move-eat-age-die  7 \/ N$ v  b4 D- [# r" ]% r
  fd 1
) |6 H- d0 e0 E+ H  set wealth (wealth - metabolism)6 B: H( k( D; p* Z& o+ N" A
    set age (age + 1)) K! Y- V. c  y2 h# Z2 E- P
  if (age >= life-expectancy)1 h; y# {# U5 p- }: C% t( k
    [ set-initial-turtle-vars-age ]
6 c1 W1 s$ \  C  if (wealth < 0)$ t7 i$ q7 S: C( O* x' L+ ?
    [ set-initial-turtle-vars-wealth ]
& ^9 |# l& ?* N8 s0 `3 C    5 ?+ W5 D, ]" J% ]: j
end
( `; i, l# D4 U( {0 U+ u+ ]% w) t6 r

! z, Y: ~. }( z/ n  _: Cto setup-plots
) Y2 t; Q: G4 E" ?; ]" U/ |& i  set-current-plot "Class Plot"
* z8 k; e7 _' Z# t. ]  set-plot-y-range 0 num-people/ L- ^1 ?( k8 n* _! k% n6 j; O" j
  set-current-plot "Class Histogram"
9 {/ @" b+ j/ r' y% Y  set-plot-y-range 0 num-people& |& z1 U) g9 }
end+ ?5 F* n( M; J) e: X
5 q9 p7 o9 D: [# U
to update-plots
- Y5 Y1 X, l% U2 D+ x) C* W  update-class-plot
7 g' e. X/ h* n2 l  update-class-histogram
0 p7 Q' g* o- A6 m8 I# l, q4 E2 Z  update-lorenz-and-gini-plots- Z$ c0 t; O0 ]' Y
end
/ J# _4 \9 `9 }% b
0 C1 k8 t! V; F" j5 v8 v8 Cto update-class-plot
4 d' c0 P$ ^7 t2 T  set-current-plot "Class Plot"
; [9 @9 ~5 c- ^4 c) c( ~. C  set-current-plot-pen "low". u2 U8 ^$ U5 F8 c) U
  plot count turtles with [color = red]5 U3 ^; O) j- h3 n8 ^; H2 f
  set-current-plot-pen "mid"
3 A) [5 W+ n/ P& E  plot count turtles with [color = yellow]
/ G+ c, M% U4 i+ E9 e  set-current-plot-pen "up"
: J6 H' B- P4 |$ S( _- w1 @: Z0 }  plot count turtles with [color = green]* e  C. \9 ~" R/ R7 l" e9 T) ~* N
end
( S) i: c1 ^1 O  U7 O3 Y1 Y! V
5 c% E6 A# ^' A  n" mto update-class-histogram1 i' k( J0 u' o
  set-current-plot "Class Histogram"; S, l, A+ O, j1 S' z+ A# l
  plot-pen-reset
: N. H9 c; I+ n6 R: I  set-plot-pen-color red1 q2 m6 Z/ Q) [  r3 P1 G6 m
  plot count turtles with [color = red]
; g; W! F! w0 w9 h1 p! K9 [: ]! b  set-plot-pen-color yellow/ |+ c% x, p0 ~! `
  plot count turtles with [color = yellow]% l# |6 ?7 m; b$ r' W. e8 q
  set-plot-pen-color green
+ h4 {6 f' p( z  plot count turtles with [color = green]; Z# F$ p; V: ^8 C/ {# e! L; b
end( e" N6 x0 R& c6 P5 G- @1 m
to update-lorenz-and-gini-plots$ A( c0 y! D/ k% i: A6 m
  set-current-plot "Lorenz Curve"' u' {( ~4 f2 J- u
  clear-plot
! ?5 m* B& L- L4 R. ?( Q, k! P4 X8 C) i& B( S$ N
  set-current-plot-pen "equal"$ G& ?, v* ?3 L8 I# @, G: l
  plot 03 c1 p1 g6 I/ s$ M6 s/ X: x
  plot 1007 Z( v" a* R3 A5 G( I3 X  h

' B! M3 R9 ~7 N8 y5 m3 e$ \  set-current-plot-pen "lorenz"
6 c5 a. _+ F! m! N! d  set-plot-pen-interval 100 / num-people; Z* h1 X- i) |# T
  plot 08 h! e( v  p0 ]
/ B9 ~9 x$ h; t* ]9 Z7 C9 q
  let sorted-wealths sort [wealth] of turtles* j- F6 Q8 Q% g, K
  let total-wealth sum sorted-wealths
( c5 @. ]! w1 ^" V7 s& M  let wealth-sum-so-far 0/ D" F1 ^9 j2 J. F: u
  let index 0
7 E8 M" S4 t/ G0 ?  let gini-index-reserve 0* z4 V1 h& P, ~8 l/ I$ W: z3 t' J& F; `

/ R. H6 g* {. P& L4 Q' N3 M( z  repeat num-people [+ d1 M1 z+ C/ u  d6 a4 n" c) K/ _
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
- O2 n8 ^  V0 e    plot (wealth-sum-so-far / total-wealth) * 100
% q( C* q7 ]9 d3 o    set index (index + 1)- A8 }5 q% ?( v6 l; |
    set gini-index-reserve, [: j* G8 E" C" O
      gini-index-reserve +$ {( O/ A7 _1 V1 @2 ]
      (index / num-people) -
4 ]/ M. |$ @, w) R) S  r5 x. B      (wealth-sum-so-far / total-wealth)
7 u7 g, q8 b9 I  u, D# g$ u) K  ]: B* x8 ^# D2 R/ o. P$ O' Z7 o

2 a2 [2 G( j, v" z  set-current-plot "Gini-Index v. Time"
2 A  c# t9 f9 V1 z' q5 e  plot (gini-index-reserve / num-people) / area-of-equality-triangle+ }: Z8 Y' t- k; R" n. e3 S
end
# [5 r! Q$ k" wto-report area-of-equality-triangle4 n/ o1 P. }, K6 Z' x! Q
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
/ g8 e" M. S' o2 W' ~& N' T7 jend
 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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