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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( u- R" k  l9 W- x
globals2 l( {: `7 `  s; N) X6 s! }
[* z$ w$ }# c. {& G. }, [8 q" W
  max-grain    / Q4 w8 z+ c3 K+ l. f% o4 c
/ j( G% c; f6 {, S) I
]: U3 h9 }3 s7 X- v/ \$ v; t4 d+ n
0 Q+ O( O) j  D' a+ h
patches-own
) ]" L, V! Z* ~[
" e% @* |  c: A% ?7 u! {* p5 {  grain-here      
* L4 @4 E/ C! N' Z# o- N5 f  max-grain-here    e; V$ n! k0 g7 I) V8 a
]
( Q" I' }" K& }8 h
7 a3 t* B1 f" r8 B* a" B" h9 Lturtles-own
; ^7 [$ Z# I& i2 [& F[1 C4 _5 s. s9 h9 {0 [6 G: q  n
  age              
" @) a5 \4 t. W5 m0 D3 K  wealth         
" \8 K( Y4 j4 X; j( Y1 x" k  life-expectancy  
8 \! n* O& J; ~8 T0 E# |  {  metabolism      
! Y, @. t; N  ]3 i( ~, U) W  vision
" f/ _9 U) s9 B4 L  K9 @  inherited         - s0 Z# T% W& `: s) T& e& d
]
9 }" y8 S! ^  B$ p( l
0 d5 k4 x- d9 U, t' j) ]( w2 @* W. `5 H* x2 p1 m
to setup/ B! h7 H, `* x' U4 A
  ca6 \& T$ I" Y& G$ P
  set max-grain 50
* E$ D( Z  N; F4 G- _" x! K5 ~0 l  setup-patches1 e8 R9 s" N* O, s' w* k. z0 Z
  setup-turtles
) ?& S4 B/ P$ c  setup-plots
4 W8 I- C5 |# ?5 |  update-plots
: p- C; U& u+ |; Y- u# ]end
1 S5 x- X' u5 O5 ]+ F$ Tto setup-patches
; ^) T$ Q2 Y" M+ Q% w) {; r  ask patches" ^& d1 i* t7 ~5 `9 J9 C
    [ set max-grain-here 0
2 c% i8 s4 H  Z) Z      if (random-float 100.0) <= percent-best-land
% @+ G5 u! T" b2 q        [ set max-grain-here max-grain& i) E6 k* l' [3 R; K: W. z
          set grain-here max-grain-here ] ]
' w  k0 ^6 a; N4 w" w- I  repeat 52 H# g: u4 Q) B9 U- b7 }4 A
    [ ask patches with [max-grain-here != 0]
. }. C3 D' I# Y! w        [ set grain-here max-grain-here ]
- {) q+ q: n) A" s      diffuse grain-here 0.5 ]0 P2 ~; X  b1 i9 O4 i$ P" l; O
  repeat 10
" [' S, A6 K- S    [ diffuse grain-here 0.5]         
4 B2 a6 M6 H2 b( s6 u9 q  B; r  ask patches
, n0 x1 D1 N; ?7 O# B+ ?    [ set grain-here floor grain-here   
* |% A5 \: D; K7 c4 a      set max-grain-here grain-here      
5 p  I5 o! i# n& O( A% \      recolor-patch ]3 @0 G! J1 h$ _! P' U3 F% I
end! P9 X5 r% H5 K4 b
to recolor-patch  + x- R1 J, g& _6 A7 z1 K: [
  set pcolor scale-color sky grain-here 0 max-grain
1 m8 {; D) N2 s$ }- v5 t! A: X4 o$ cend: |; H4 R! D! O+ I% q8 U/ _9 K" m. i
to setup-turtles' E, i2 R, I! h' P7 V3 V
  set-default-shape turtles "person"; G: w8 u$ [$ a- Z+ }; k' `6 f# h
  crt num-people4 ~9 V* g& a& i0 B. y4 R: S
    [ move-to one-of patches  
6 ]2 l/ H, a: p& K+ ~      set size 1.5  
! u7 b8 ~% t4 a9 o1 j      set-initial-turtle-vars-age9 ?1 o# R  [: F# L! r# y  N1 t
      set-initial-turtle-vars-wealth0 G3 l  U( Y5 E) t
      set age random life-expectancy ]
) ]" [$ u  |+ b7 v6 x1 U  recolor-turtles& B  V: {; m+ {. E" d
end
2 v; c/ ]& u% @% r1 h, p% U( e" {, V7 J( }/ F) G# c! Z$ J
to set-initial-turtle-vars-age
. j' |, Y) h, H( | let max-wealth max [wealth] of turtles* B  i; {2 M2 x7 @
   
/ [1 x( x. h+ z; I8 {$ w     ifelse (wealth <= max-wealth / 3)
/ o2 l: \, }0 f- f2 r0 x! c        [ set color red 1 K/ f; q' r8 u5 o6 q
          set age 07 J8 I& i: `& J/ e
          face one-of neighbors4
0 z/ w" C# q  e% @7 H* m2 [          set life-expectancy life-expectancy-min +* p' u0 ^$ W6 `: _
                        random life-expectancy-max
/ E+ J5 ]  q% c          set metabolism random 1 + metabolism-low# F" K( F" m: [5 Q) x6 Z' }2 f) G1 m
          set wealth metabolism + random 30, R4 m& U. f6 h$ L
          set vision 1 + random max-vision
$ Q- t6 P1 y5 r7 Y3 E/ R% u# u             set wealth  wealth +  Wealth-inherited-low ]
% I  x  v3 R, |! f4 o7 w: {        [ ifelse (wealth <= (max-wealth * 2 / 3))1 }! \2 q! D8 r! }
            [ set color yellow + ]; g/ T( B* z: f2 K
              set age 01 Y9 u1 _7 m5 I8 R" B3 w5 ~. ^+ P
              face one-of neighbors4
0 [! K/ W, z- r5 i% B1 T2 R/ j  i              set life-expectancy life-expectancy-min +
* L" x, @8 P9 ^2 K                        random life-expectancy-max + 1
, p" W( z+ f4 {0 i  h              set metabolism  1 + random metabolism-mid
# p0 _% }0 K" a% ]              set wealth metabolism + random 30
5 C1 }% R' {: N3 Z) K              set vision 3 + random max-vision
$ x* l! P: [7 r. ?+ _1 g- b# i/ o                set wealth  wealth + Wealth-inherited-mid]* p6 ?/ @" \" J$ J; O
            [ set color green
9 }6 q6 G7 d! h" w/ @              set age 0, C- O+ J* n- ?. x$ c
              face one-of neighbors4 / j( \1 m5 o. T
              set life-expectancy life-expectancy-min +  @/ }; g# r; m6 E  Z
                        random life-expectancy-max  + 2/ Y# i4 L' y# n
              set metabolism 2 + random metabolism-up
  J1 S; n( @. C! z6 {7 N: Z              set wealth metabolism + random 30
/ `3 [* T& X, K4 w) j              set vision 3 + random max-vision8 u/ C5 P  L% n/ d
              set wealth  wealth + Wealth-inherited-up ] ] ' `. {6 V, E9 K3 t

9 A; Z) J. u: _  ]  B: p. h/ Y6 kend: Q- s) y* @5 F+ ]9 a% }  o: X
to set-initial-turtle-vars-wealth" ]" r+ K7 Z: T4 H+ o% \
let max-wealth max [wealth] of turtles" [, z  x1 I9 ]/ q
          set age 05 j! G  d) c' ^" j2 g
          face one-of neighbors4 # O* {, ?) Y8 A0 V2 A
          set life-expectancy life-expectancy-min +
, |4 G3 n) X) R! L                        random life-expectancy-max
  f5 K6 `: _( X0 p5 w; s4 @          set metabolism 1 + random metabolism-up  V2 X) r( R% a" h
          set wealth metabolism + random 30
; V- w  t5 c# T/ u: e* \% @/ O- p          set vision 1 + random max-vision
1 L& m+ h% ^% n, D" B4 Pend' @8 o  a" n1 x
to redistribution
- i! h( O* d0 V; T3 T7 a  A0 blet max-wealth max [wealth] of turtles  n5 `7 x# |& d& u5 E7 d
let min-wealth min [wealth] of turtles
2 T% k2 T% {6 s! x; D+ fif (wealth <= max-wealth / 3)
+ N6 V% j, t! t$ {4 u: \* d [set wealth  wealth + Low-income-protection ]
& t! a* z0 s3 f- send% L; U& K3 v7 S" J1 b8 |
         
% ]0 ~  s+ c0 [4 z3 @to recolor-turtles  o9 S) A! E( {# R5 ?" x2 H; C. I0 o+ `8 p
  let max-wealth max [wealth] of turtles8 N$ w& {. Q9 I# P
  ask turtles! g0 Z0 D+ s7 q. h6 y
   [ ifelse (wealth <= max-wealth / 3)0 G. Y* K3 N* w
        [ set color red ]
1 b& E* M6 P* j" @9 m' Z        [ ifelse (wealth <= (max-wealth * 2 / 3))$ R( @$ X7 `3 ?- Y/ ?! l" N0 ]
            [ set color yellow ], J7 ^3 u/ e. }# r
            [ set color green ] ] ]
" z' X. m+ y/ z9 r8 z( l ask turtles [ifelse show-wealth?) Q+ r, o8 W/ G8 F
    [ set label wealth ]
1 `, N# v" f3 Z8 r) x    [ set label "" ]]8 X9 ^! h: ~! i9 j* Q& w1 A' z, Z9 R5 ]
end8 g4 s( e" y  A5 b6 ?
, o% z; X5 {: t. ?0 q2 |
to go( F1 r4 a2 h4 s, L9 F3 O/ N% u
  ask turtles
, O  N6 C" T2 P- k; k    [ turn-towards-grain ]  
+ U2 r3 I$ Y6 }4 Q4 q, y9 K, g) I  harvest
) m" F+ U) h' s* c2 F2 \  ask turtles' {! t' |6 ?" e4 s: K6 c
    [ move-eat-age-die ]$ `% }  i6 \/ S" u  `9 s4 J( @
  recolor-turtles7 z1 M6 u8 U+ `- I
  if ticks mod grain-growth-interval = 0
8 h+ o9 E( r1 E! W    [ ask patches [ grow-grain ] ]
. [. j0 K7 `; G# _3 Z   
& P5 E  y$ a( p3 l. \9 c. |  if ticks mod 11 = 02 |" ~- c2 i) e: w5 b
  [ask turtles
+ w# w* E- q- e0 y$ a/ W& y7 P  [ redistribution ]]
5 j4 f& r- I) a8 e" t9 m. g% t7 A  if ticks mod 5 = 0
2 p! U- U; R8 N$ ]: u$ Y   [ask turtles% N" d% T7 @5 |# w! Q
  [ visions ]]3 a! C! _. g- i9 ^9 ?# }
  tick7 ^; I' ]/ ?/ }, ?& J& y- N
  update-plots  r: s' o2 O0 @+ U1 V3 Q
end5 p! w' ]- G; s0 g4 x5 @
to visions
1 {4 z! T! a& c set vision vision + 1   g3 U6 U0 R0 R3 L, k4 m1 O
end" ]$ u9 @3 A% h3 M) s2 G6 F) O
" J" Q% v0 T; r) g, \. D8 ^

; `  _3 d" E- q, S, k- B+ {% @0 e3 }' v+ |; R
to turn-towards-grain  
; r# U+ o( p' ~! G* c  set heading 0
* f# p' a4 y. V0 d) M* Q  let best-direction 0
) [: B7 v' E: B6 \, A! x# U' p  let best-amount grain-ahead. _" U  c& }* x6 B5 c4 ]
  set heading 903 ?. C: j+ T2 z' f8 L
  if (grain-ahead > best-amount)# r8 B5 f6 Q  Y. h8 d- F; }
    [ set best-direction 902 j2 @: z! N( S7 r4 e9 ^4 @
      set best-amount grain-ahead ]6 b; N( Q0 j9 ?. Z' q
  set heading 180
6 B$ x% B+ v" T  if (grain-ahead > best-amount), y5 N/ e) K0 ^1 ]4 q
    [ set best-direction 180
$ |9 S& @1 O7 ?9 k5 |: ^, b      set best-amount grain-ahead ]
5 W/ h  {0 x* c: [  set heading 270
5 ~& c8 w* I% }2 |( Y3 I& q  if (grain-ahead > best-amount)
% P+ F& N/ Z  G' z; j. g) r* l& p    [ set best-direction 270- l3 h8 X) i0 I* b  L2 `6 f0 i! z
      set best-amount grain-ahead ]/ ^* S! ?8 o4 L  D
  set heading best-direction
: P' c/ U  w1 \+ H/ ~" Zend* X( q. c# j, e8 ^
1 L; b) e/ a  u" I

  j) L6 B% j( I! Z4 fto-report grain-ahead  
6 U/ b: \5 l0 s  let total 0) p+ T; x9 s* Z# l) S# ~4 Q; f
  let how-far 14 @/ t; r  v6 r0 |
  repeat vision
6 |) g3 D! a! F$ B  y* Y    [ set total total + [grain-here] of patch-ahead how-far0 U9 ^* P' J7 ~. f# d
      set how-far how-far + 1 ]5 @0 M( f! ~/ P& h4 f' ^( a8 C
  report total( `% Q% J6 A& h+ a
end1 Y  h4 h+ T4 m$ @8 U6 u
& B+ z' W8 B/ k
to grow-grain 0 G. s( Z: E& r
  if (grain-here < max-grain-here)7 k1 b4 ^, b, D2 b6 j" _; m- Y- b
    [ set grain-here grain-here + num-grain-grown
( }6 H  @8 K1 `3 i1 L8 _9 r8 t      if (grain-here > max-grain-here)
8 b: \% [( ?! L  l; o! s0 l        [ set grain-here max-grain-here ]" I/ s5 k- F" G6 C1 J7 M" X
      recolor-patch ]+ j6 j- O2 k1 I! }
end/ A  U% E9 w9 i
to harvest
- p) t0 q$ O) |+ y# d) \1 X  ask turtles
$ Z1 ~) j' s& R. `- @    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]3 k, `( b) a9 z/ O6 j
  ask turtles
" N7 A2 X& K. i8 j6 W2 T  q    [ set grain-here 0
/ B( U  z) ~: |      recolor-patch ]/ q+ Y7 @$ m3 L2 g; W( r
  7 f: }% l1 f* U4 q- Z) z
end$ b& k2 F3 g, k0 G- X
; b$ Y! J" N+ o9 }
to move-eat-age-die  
2 B. c: F' i8 A" Y5 I7 c" S  fd 1
6 \9 P, l; {3 N2 n  set wealth (wealth - metabolism)
* _4 P0 Y. |5 P- ^/ h    set age (age + 1), X' T' A+ }/ d3 m' Z! z' r" j
  if (age >= life-expectancy)9 a8 m7 k0 W4 ]+ q
    [ set-initial-turtle-vars-age ]1 r( w0 G1 t: F, H0 V% ^- z( |
  if (wealth < 0)* X, w+ R* _! W' C3 J+ m# J
    [ set-initial-turtle-vars-wealth ]- {( W& I0 b+ X4 k; ?
   
! B6 [" M# r7 bend
9 g7 R# _  M9 y
% [6 q! F2 g8 l2 k; b
2 @# x  L) F; o' F0 Zto setup-plots" c$ y3 s$ c/ P. L
  set-current-plot "Class Plot"
! n* q4 V8 O& e8 u4 d3 O" v& l  set-plot-y-range 0 num-people
) t4 w9 }9 _# l  set-current-plot "Class Histogram"7 u3 @: C# W% i6 Q' _
  set-plot-y-range 0 num-people
) t; v6 Y' ~3 y) R6 aend
+ f/ }% p) ]. o* x( T* W% Z) X! l. X1 q  l7 m! `8 U( a# s
to update-plots. p3 y# ], Y# U' ?+ P
  update-class-plot
  A6 _+ l) X; q) d$ t) k  update-class-histogram- j2 W9 D' D9 W+ a1 r4 k* a
  update-lorenz-and-gini-plots) }% C8 D3 ~  y! f! L
end$ P2 _% r+ E& n  W' |
% r8 i3 d; I/ l$ l  V9 e
to update-class-plot
/ x2 z' F& A3 i4 b6 V8 p' D  set-current-plot "Class Plot". Y& R. K/ }; U: ~
  set-current-plot-pen "low"( g% S' }# _8 q4 h
  plot count turtles with [color = red]2 S& W0 ?* o# B% _
  set-current-plot-pen "mid". V4 C4 l8 |$ z1 @0 H7 S
  plot count turtles with [color = yellow]
0 ^0 l+ ]6 ~1 t# D& S0 v4 Y2 N  set-current-plot-pen "up"
( j, t# E* F, {+ R  plot count turtles with [color = green]( D. C, \. A  B/ k( A% a, b" R* U. J$ [
end
4 l0 [- |! w' k+ i# |" f" O9 k# E# S( v/ D* x. o
to update-class-histogram7 x1 c7 a! E9 m* s+ P
  set-current-plot "Class Histogram"4 n% _; {! G8 C6 T$ `. c: g
  plot-pen-reset" v9 v1 @% n7 n1 m
  set-plot-pen-color red
# ^# F3 i, Z( Q6 d6 C/ T: X! E  plot count turtles with [color = red]
/ d# o" A( [, K3 v  set-plot-pen-color yellow
  n: n' b' J: g0 @  plot count turtles with [color = yellow]1 Z9 w& ~1 T  g) u) r8 {: w( X
  set-plot-pen-color green& }4 I  {% J. b2 S
  plot count turtles with [color = green]+ B* C6 O) h( }$ r/ z) T6 i
end8 X! A% t8 R- e& I, I
to update-lorenz-and-gini-plots
2 E' j  C  T6 i$ e1 y  R  set-current-plot "Lorenz Curve"
3 ?# |* |7 e/ _1 `! U3 m* e2 m  clear-plot
7 [" |( N# X2 _8 `- w( l& q
. n7 d. z( q5 q) y7 w( F7 J1 J1 z  set-current-plot-pen "equal"
6 i1 c) f) a1 n  plot 0
! {+ u0 Y' n/ W8 |8 B, [" w9 [4 H  plot 100" h, z( o* H+ I# y7 x: n5 [8 o3 g1 _

, f* N9 x* c) r" p" Y0 B8 L  set-current-plot-pen "lorenz"& n7 P( y; M0 \3 }8 \
  set-plot-pen-interval 100 / num-people
: I2 Z! N/ k. b  }, u( ~  M  plot 0. I3 s$ n0 P6 ^( u

  b& ~# `" D9 f3 \2 E7 p0 I- T  let sorted-wealths sort [wealth] of turtles, n' e: O# K. C8 z
  let total-wealth sum sorted-wealths
& Z4 S6 m  n( y# l  let wealth-sum-so-far 0
) Z4 q$ B4 r' e) v/ `% U  let index 0
# ]+ _5 V9 C: Y* a' b/ }, b( r# U2 b  let gini-index-reserve 04 {4 R; P% R' E; w* R3 ~
  F6 o- E8 X6 r  B' P3 \4 k+ o4 m
  repeat num-people [2 z* F4 R! B9 D7 d
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
( f8 A+ s" ?( i6 f    plot (wealth-sum-so-far / total-wealth) * 100
" N1 Q6 R9 w$ E9 s  n4 z    set index (index + 1)
( O* r3 e8 C8 O1 I: L- ~    set gini-index-reserve3 S# C% R/ i  B2 ^
      gini-index-reserve +% {6 h+ j, r$ r5 ~! [" u. Z7 w, S
      (index / num-people) -
( Z3 e  `4 C- ^: X) `! R# y      (wealth-sum-so-far / total-wealth)
  U# t5 q$ s' i, E- k( C% d  ]$ U% I( f/ W9 P; D" g

8 j2 E( a3 x/ b6 p3 ^( x, x  set-current-plot "Gini-Index v. Time"
: C4 a% P: E2 b; E* z3 s9 ]  plot (gini-index-reserve / num-people) / area-of-equality-triangle+ T9 r" K* q* v: j6 R" }
end8 V0 R* i. _1 G8 S3 t
to-report area-of-equality-triangle
1 d' E: C5 {, u) G( n  E1 ]  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
, r& p( N/ V6 Z1 kend
 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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