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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 g. B1 D, ?. f4 s4 y3 ?9 L% Y* M6 [globals
* M" Y$ S. e/ w; `8 |, Y, e[+ n; g5 A* e! k' l. Q
  max-grain   
7 u& ^3 C( \! i# L7 Z
2 W( [* u1 c. Y; s]
6 K' `5 J0 `, H' Y( R: ]* h
1 p6 }; i& r* {patches-own
" w% D0 ?/ l2 Y) }$ L. |" W[9 h3 T8 I, ?- y+ O- V# k0 a9 H
  grain-here      1 B( I  b+ Z2 Z; _0 }$ p
  max-grain-here  
6 X1 v$ S' S; e# j]
& d  B0 K4 k, g5 w" m6 R1 B) f% b' }6 M. V: B1 y4 c. ]
turtles-own! Q) D6 x" I8 W9 Q. C' ~1 b* n
[
4 d. s- R6 ?- ?& C& T; b  age              0 k9 `! J1 x$ a, P. e7 G- ~  q
  wealth         ) h* O+ W; ^5 F4 E, r
  life-expectancy  $ u5 I8 O$ s3 m, y; E/ u
  metabolism       6 L- D) W; ?1 g
  vision
4 K* L1 u9 P' b  i1 p  inherited         3 A* r& M3 `( {# \- U* W, s
]
/ S% e$ c3 X# }" U! M( ~* y4 m# G8 m( h: f8 j, x

* x$ h' X1 D4 w/ Lto setup
/ [( S  W3 ]/ j1 `3 B  W! j  ca. T" W* Q% J: H1 A3 h  {/ r
  set max-grain 506 P5 B' p& H% L* M
  setup-patches
( m! _1 ]/ E. g+ s  setup-turtles
# Y6 g2 W3 A7 u) ^5 H5 }$ }  setup-plots! H7 a$ y' O& k
  update-plots" v7 ]( T* U+ U1 Q9 p
end
4 ~$ X3 G/ H# V) vto setup-patches, x/ D( c  I) Y; T
  ask patches+ _4 |* R3 ?. G8 [
    [ set max-grain-here 0- M# Z5 y% N# r5 d  f
      if (random-float 100.0) <= percent-best-land1 C& }. f$ v# F2 m
        [ set max-grain-here max-grain  M! f  ~. o0 j( O) ^# I4 d$ x
          set grain-here max-grain-here ] ]% f4 k* `( u& d+ d% H* W( R
  repeat 54 T( n1 l7 j# D1 s9 }
    [ ask patches with [max-grain-here != 0]
2 T8 x" X& j2 O3 l* s        [ set grain-here max-grain-here ]$ j1 q& G0 c" g. y, j, h4 E: z
      diffuse grain-here 0.5 ]. @% Y8 L2 J9 k4 m* I) I& @
  repeat 10
5 ^3 m) W1 N& z& n, @    [ diffuse grain-here 0.5]          ! a7 o1 j1 z! x: C$ k$ d2 Q
  ask patches
4 F- Q) ~3 B) P4 A* ?7 r    [ set grain-here floor grain-here   
1 J- J% @4 _0 V, s9 v5 q& e      set max-grain-here grain-here      
2 [% B; [. u5 }) ~% |) t2 F      recolor-patch ]
" b/ a' h+ H- [& Send+ B; T4 e9 _. u5 R& e
to recolor-patch  - i+ Q9 J8 V! c+ X9 f8 v
  set pcolor scale-color sky grain-here 0 max-grain1 |6 k* Y* Y: B# k( ^7 F
end
% `& ~; D: J5 l. qto setup-turtles) L) W3 u. M9 [( X! n1 y
  set-default-shape turtles "person"( I; h$ D. R6 B, ^) u& x
  crt num-people2 C9 I( @  @! v0 v2 V
    [ move-to one-of patches  ) h5 _# {4 i; c- Z
      set size 1.5  - a1 `! `: o5 K, ~7 k
      set-initial-turtle-vars-age/ G5 ]: k! {2 `) _, x4 [
      set-initial-turtle-vars-wealth. z% m7 x# ^# h8 @
      set age random life-expectancy ]1 ^, i# s) M+ i1 k/ @+ _
  recolor-turtles" h# [( j5 ?* d$ ^; B4 c
end
; D+ R6 A8 Z0 ^! R2 I% ]0 g* P- X3 H: `: d& S9 K+ A3 g
to set-initial-turtle-vars-age6 @8 L7 E' A/ O7 u% B6 D0 X- \
let max-wealth max [wealth] of turtles; Y6 O( e& Y1 s1 G7 {+ d
   
5 W' J; U4 K. z4 I0 X$ Y     ifelse (wealth <= max-wealth / 3)4 N, Y2 S% t# F0 s- H# `5 r
        [ set color red & k% i5 T: Z( U3 o8 V+ i
          set age 08 Q0 f! M2 S, x3 j1 z! h2 s
          face one-of neighbors4
( E3 L# G: f. L! }/ l& e& s; z          set life-expectancy life-expectancy-min +# d5 \) x3 }# u3 ]
                        random life-expectancy-max
; v; J# G& N: T& \9 J5 v          set metabolism random 1 + metabolism-low
9 g2 i! M% i' U) S          set wealth metabolism + random 30/ v8 J( ^. x( s7 S+ V, _1 j" T- d/ O
          set vision 1 + random max-vision
% w  j1 u' H. h7 m2 Y8 @             set wealth  wealth +  Wealth-inherited-low ]
; x. h6 Y! {$ A        [ ifelse (wealth <= (max-wealth * 2 / 3))( Q" i# ^5 j( N/ q/ ^
            [ set color yellow
2 |6 G! k- y9 Z+ `, u7 w              set age 0
" i5 j# u! x2 I5 @( ]  `4 ^              face one-of neighbors4 + R; W' @0 L& b# L  Y8 \4 H, u
              set life-expectancy life-expectancy-min +
+ _3 T8 Q5 [' h- _                        random life-expectancy-max + 1
* S5 P8 ]6 S7 |  U& T: n              set metabolism  1 + random metabolism-mid! j! q6 v1 H3 ~
              set wealth metabolism + random 30
' M8 R4 x" n! L; Q0 U1 Q2 Z              set vision 3 + random max-vision# O* E2 w- D2 a* B3 V6 f" `
                set wealth  wealth + Wealth-inherited-mid]5 x  O' h& }8 s$ B
            [ set color green
1 h! U, P9 C7 _; n              set age 0
9 U" H+ ?% k0 ]! I! Y/ ~% e/ ^              face one-of neighbors4 . ^% x1 b9 ?/ [' o/ E! z# R
              set life-expectancy life-expectancy-min +
! X# r& d0 ^% Y0 w" S+ O8 O/ a+ U0 O2 `                        random life-expectancy-max  + 2
# ]+ d& @% E7 Q8 {& E              set metabolism 2 + random metabolism-up6 J1 v2 I( @$ n3 l' ]
              set wealth metabolism + random 30
* b$ `6 y" U  W6 L& [) g              set vision 3 + random max-vision- `7 `. ~9 t5 @
              set wealth  wealth + Wealth-inherited-up ] ] ; }) D7 @! i3 V# `% b
7 Z( H) Z# ]) O$ W- m
end* j$ i$ N2 G: h" j
to set-initial-turtle-vars-wealth
" A: w% T$ C( w. \ let max-wealth max [wealth] of turtles, O& O. j) W2 @% R1 i( }
          set age 0$ G  l; e, M1 b# _
          face one-of neighbors4
, r- d2 e" h$ A5 `          set life-expectancy life-expectancy-min +
7 T6 D3 h0 H, b) C                        random life-expectancy-max * |6 v* m" o/ ^; ]
          set metabolism 1 + random metabolism-up3 r. D* }% g+ H
          set wealth metabolism + random 30
/ E( J  W, c. c: m$ i          set vision 1 + random max-vision , o, O% C. B9 a% ]+ b( `
end
' y0 @" U; w4 N) `; t% |# x3 Fto redistribution
- s$ C! e) Y. G) e! _+ Ilet max-wealth max [wealth] of turtles" {0 p; O0 q7 R
let min-wealth min [wealth] of turtles0 a9 D6 Y2 e/ W! f7 A
if (wealth <= max-wealth / 3)
! ^# d) K# V1 W$ h5 P [set wealth  wealth + Low-income-protection ]7 ~0 Z2 \7 v( w6 F0 w  u; d! \% B
end
+ c9 M' J( K8 H. ~. ]- W7 e6 ?3 m          ! ^( W5 e+ K5 _2 Z
to recolor-turtles
; R& }8 L6 p8 F0 N( n) ^  let max-wealth max [wealth] of turtles% b+ k* v. m/ C+ E' P9 o
  ask turtles, X9 Q& _* V$ a
   [ ifelse (wealth <= max-wealth / 3)7 U' E" l) h* @1 ]
        [ set color red ]: g6 K' w% m8 }
        [ ifelse (wealth <= (max-wealth * 2 / 3))1 B4 u- Y, }: _0 C( d- b6 f
            [ set color yellow ]* B3 l  Z9 B' d9 _$ _
            [ set color green ] ] ]2 ?  H9 J& G+ `1 t' a) R# M0 H4 e9 s
ask turtles [ifelse show-wealth?
5 Y, P+ A' _% E  u8 ]    [ set label wealth ]
5 O* b6 m- B/ p1 l0 m    [ set label "" ]]
* v9 p6 I1 F" M/ A, c. Rend
/ o! F5 L  `' a7 J! Y
) B: B; ~3 H( p9 ]( tto go, X2 r5 o3 o7 r/ s7 C8 r7 w7 s
  ask turtles8 @; m5 Q; q+ G
    [ turn-towards-grain ]  
! N2 S0 d. p* Z% y9 S, W  harvest
! n+ C% v4 d6 {5 E  ask turtles8 s3 X: H3 D0 F  w- ?  T
    [ move-eat-age-die ]
" o0 y6 ]! D% f  recolor-turtles2 Z+ y2 M: U! F& W
  if ticks mod grain-growth-interval = 0
. T4 V% u* ^  p+ |& e    [ ask patches [ grow-grain ] ]
2 c( Z% j5 p  ]7 t0 p   
8 C$ n+ j+ S! P+ Z2 |. a/ H  if ticks mod 11 = 00 i. |+ }1 Q3 i# V  Y& F. d& K
  [ask turtles
1 R8 R* E9 E1 }7 l" I0 v  [ redistribution ]]
1 a. a& I+ A, q% r0 L9 ?: I  if ticks mod 5 = 0
+ U* T1 e5 [, U+ Y7 R% D0 U& L   [ask turtles
- K6 b8 `7 L% _* c7 t/ n# k' j- D  [ visions ]]
9 F- q& T' y4 y. L: O  tick
0 J5 t  n' L% J9 D6 q" o7 u. P* K" s' Y  update-plots: K- F; H/ u4 I' ^, n7 Y$ q
end) D& F3 L% P* c+ r2 c3 o" v
to visions) ]5 h- t9 k% B4 p+ E! R
set vision vision + 1 5 B# l. k: h4 v( n6 z+ G7 F
end
* p0 J1 ?' B: S; o# G! o8 u2 B. U1 e3 U4 V8 n8 b

7 D* P' _+ d; p0 O/ Q% E5 Y
6 B; K* r9 r3 ?to turn-towards-grain  
! r1 o% D2 ]: R# n0 f0 b$ G* d& H( w  set heading 03 [& I8 n$ N: [) ~5 }
  let best-direction 0& C- I" z$ |- ^) e/ Z( K0 K
  let best-amount grain-ahead. o! w* ~% F1 W# e; M5 k* t
  set heading 90
2 e4 I! n3 J1 @$ a& |2 g" s  if (grain-ahead > best-amount)
* T% V( N% j# A9 e& P) p3 v    [ set best-direction 90
7 K8 g6 S$ q0 O8 z; {1 u! ?6 w      set best-amount grain-ahead ]
2 E" {0 }- h+ r' ?' i( ]+ v  set heading 180  {7 i4 M2 i) q( c! I+ w7 x; j
  if (grain-ahead > best-amount)$ M) o- g/ m- |; l! s, k6 A( i
    [ set best-direction 180$ ]7 n( s1 {! j, ?
      set best-amount grain-ahead ]
' A" {8 r" _6 |' T  set heading 2701 u/ F5 u  |6 [7 }+ a- q
  if (grain-ahead > best-amount)# M# x" M$ |! `. [4 u
    [ set best-direction 270
9 f5 [$ I  b% |0 `7 d, n      set best-amount grain-ahead ]
& j+ V6 u/ ]  y  {  set heading best-direction, B7 a0 }8 C  F  J3 _
end4 u+ f  T  x' M3 R1 D% }

' }7 |' ?3 n+ y- F4 W4 c0 E& l4 C1 U% x$ _8 ?$ ^+ X1 g
to-report grain-ahead  & I8 U1 ?/ P) O4 V
  let total 05 }4 ], ~. Z6 C
  let how-far 1$ H% _7 e) U6 w5 p& W8 s2 F
  repeat vision
+ I4 k4 q) l% I% ~6 j9 q    [ set total total + [grain-here] of patch-ahead how-far
3 C6 F- l- K8 M0 U, p: h* T      set how-far how-far + 1 ]
3 I9 Z7 F" _! j; i( b0 N6 D  report total
4 p( P. Q& K& N) n( c3 N( }+ y  ?end# j8 X8 U) K' W4 O# t$ E

" O! w0 `: ?% x) q2 h3 d1 vto grow-grain
4 m/ a1 w5 b2 U+ n& s4 j  if (grain-here < max-grain-here)
, `! a/ O( x8 Q    [ set grain-here grain-here + num-grain-grown, i( Q. K; f3 L. r8 U. r
      if (grain-here > max-grain-here)
6 P, Q% v; D! M$ t' O" t        [ set grain-here max-grain-here ]) i0 o$ ~3 `! f7 e& a+ U( k
      recolor-patch ]
. Q% O( U$ f- s1 J7 f2 a& ~/ yend% [  w( e3 K0 `+ E/ z. o8 f: @  d4 j
to harvest4 l  P: w2 |) Y' C1 |
  ask turtles
" w8 p' E: D% \3 S7 E* s' h) k    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
+ b9 F/ h4 a) u  H+ `2 ]  ask turtles
0 @3 U/ Y5 w7 I8 j! @    [ set grain-here 0
9 z  l6 _# }. T7 }7 }) a      recolor-patch ]% E; g3 v7 I# I
  
5 ]* H8 ?0 ^. |1 f) Send  `4 `1 X, F. j
" C  {! }2 I" P' C8 Z; s: [& o
to move-eat-age-die  2 p9 R0 [/ m/ @! P
  fd 1) m( Z5 j( @* K: ?, L  B
  set wealth (wealth - metabolism)
+ K7 q- H1 g* ?1 v: H$ d' v8 g; R/ B    set age (age + 1)
" O9 ~4 p( w8 @& O& K; f  if (age >= life-expectancy)
+ Y( x; A% A$ X1 b2 q% U* ^2 Z+ v    [ set-initial-turtle-vars-age ]  Q& W6 ?( o- N
  if (wealth < 0)2 v! k( O1 u. _8 w$ Q, y
    [ set-initial-turtle-vars-wealth ]7 K. D3 D* R7 E
   
0 Y* A- d6 ?7 X; R8 yend
% J. m3 e" A0 Z9 c0 O& |- k
( M; l' K" d; j* j+ l1 B& B5 O
  u( _5 q0 ]( bto setup-plots2 P% b6 }8 r# M  r; F
  set-current-plot "Class Plot"
" `/ t: N/ B6 u/ F) D9 R  A  set-plot-y-range 0 num-people
" E0 t$ S1 X5 E+ F; m' p  set-current-plot "Class Histogram"2 n2 O6 C2 V2 |
  set-plot-y-range 0 num-people! {+ ?* d) ~2 }3 n! l
end
: k8 s9 p. y; @/ Y/ v0 ~- J) y2 y% g4 _3 K2 F3 p
to update-plots+ j& S6 Q$ \) U, w8 f
  update-class-plot/ K7 r2 J7 d# A! O; ^
  update-class-histogram
! b' G3 D( `7 B% _& E  update-lorenz-and-gini-plots4 O0 F4 z1 \7 E
end$ I0 k+ ^! [2 }/ y; [4 [& D+ _

6 s; y6 `1 q6 u  A% Kto update-class-plot0 V- H6 B+ d' z7 l  w( T
  set-current-plot "Class Plot"
- i5 |8 k7 W! x5 _  set-current-plot-pen "low"
" W7 C7 F$ Z. a, z8 \. C6 z  plot count turtles with [color = red]
2 Y" @4 R* z. [6 ]) x  set-current-plot-pen "mid"
' b# g/ f( w& E/ Z7 f) W  plot count turtles with [color = yellow]' o6 F! V8 }* S1 q5 w# t$ V
  set-current-plot-pen "up"
. f/ [! i; q" C* {0 ~% C  plot count turtles with [color = green]
# [7 x- H' P; g& @) Tend) R4 H& j2 V. J& n$ N
' Y9 b: O! }& C, D5 v9 ~7 ^
to update-class-histogram0 X( X8 _$ T, P4 O$ Q: T- x" X" w
  set-current-plot "Class Histogram"
$ D$ g$ q, n( t* g0 l  plot-pen-reset
' L4 [8 P5 u/ A; v; n3 z% Y  set-plot-pen-color red+ n( M" N% I6 ?0 V* p' ^$ }1 P+ n
  plot count turtles with [color = red]0 s& \% y; V' e; i0 O1 K9 D) \5 u
  set-plot-pen-color yellow$ y  F0 O. B( \, t2 E% V
  plot count turtles with [color = yellow]
9 F( u8 M' W7 g6 h) H$ ?  set-plot-pen-color green
' m8 Z0 Q: m# Q, G* \  plot count turtles with [color = green]
+ a* b2 ~  O' h6 P: e7 w) wend
' ?5 w' F. C5 v# `8 A, f( o: J! dto update-lorenz-and-gini-plots
7 M4 S5 \# T  Y- g) h- \: A2 V  set-current-plot "Lorenz Curve"/ P" ~- x" C4 t6 G* p
  clear-plot. K# P1 I0 v, Z" O0 L' k5 Y$ [9 q
' Y) V5 D# q5 G3 ^" O
  set-current-plot-pen "equal"
) @# e* t4 J7 \7 k  plot 0
) \% A# }/ I" T% p  plot 100
( D% F$ V/ L0 Q, i: L: ^, r% ~) I+ R2 [% Q& f
  set-current-plot-pen "lorenz"  Y& H2 e( I$ z% R; q$ f
  set-plot-pen-interval 100 / num-people
5 X" y6 H/ v: Q- q0 `2 Z  plot 0
; d2 d: I. e, c9 ^4 `) K* v9 b6 @# h
# I1 p4 [- u8 n  let sorted-wealths sort [wealth] of turtles
+ C2 K# _" l+ E, G% a5 D7 `4 u  let total-wealth sum sorted-wealths7 A4 g& r3 I* K9 ~7 M4 x0 e
  let wealth-sum-so-far 0
) M2 [$ g# _) _8 N( f4 N1 w  let index 0
! T9 l- a$ f0 T$ j  let gini-index-reserve 08 Q6 b' x# B% k2 v; v. o5 X
2 ]" v0 h! w6 L7 s, j. N
  repeat num-people [" E4 o' K5 k2 k9 ~: l8 ]
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths); U  M( T& \7 }6 V  b! k
    plot (wealth-sum-so-far / total-wealth) * 100* k' ?3 a& q1 Y- c) m5 b0 u
    set index (index + 1)4 n) g) x3 o* g3 m
    set gini-index-reserve
" E0 X1 p2 \8 b+ z# Z      gini-index-reserve +
. c; f( [5 f1 W  `( E5 k) |) g* @      (index / num-people) -7 {8 _# ?$ A0 p3 ]
      (wealth-sum-so-far / total-wealth)) Y2 G1 f3 c  Y
  ]' q* u& E7 [; _& _5 o
" [+ h' l" A+ `5 C
  set-current-plot "Gini-Index v. Time"5 R0 l7 n1 b" W/ Y6 W1 |
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
  z& K2 V* L, ]0 n9 u2 ^- i  x& u; U  |end
9 |% A* q; q- E6 a3 F: fto-report area-of-equality-triangle
. ^+ k2 p7 r" ^+ }3 i* e  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)) w" M) e* j( R) O& W) `1 I: Q
end
 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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