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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8 y  ]  [' M7 I  t, O) x, }. Y
globals
' l1 }+ O' C( C& ?/ }$ _[
7 _7 O. w0 W( q, _' N+ f2 ?  max-grain    ! j* P* P5 y0 k( b: ~1 l4 Q$ ?

! {( Z* o. p$ P' v& g: U. a]) g! P, {4 ~2 l( k$ E

) w: I0 D( i# ^  ?patches-own# w) o! G6 h4 ^. P
[4 z1 C# J6 d5 _, E
  grain-here      ) s. J/ \! H6 y) f% A
  max-grain-here  
! V, v8 B$ A) P]6 G4 e( ]% B/ J- J. s$ R
* T8 y3 H6 r  D
turtles-own. p2 n+ x' o" ]
[% M+ _. s8 M3 X
  age              
% y+ L/ `5 M6 J5 w) l# K  wealth         2 M$ Z9 P2 p+ I) f( g
  life-expectancy  
* K2 g9 u; P9 J5 M( Q8 h3 [: V6 V$ Y  metabolism      
9 U8 Y5 S) N2 t1 T: ]* W  vision& _/ A3 I5 v+ Z5 O' }
  inherited         / R! h# @/ b0 t4 U7 m7 _# u  p3 ^
]3 W" s' e; B& h
, D8 a) v4 J- K
, o" D& W2 Z* X# N' G
to setup
! _3 b# W/ W& {' G2 i3 S" U  ca6 K  t4 i# @4 [# }9 E
  set max-grain 50) Z( N8 C2 e- _- x& ~
  setup-patches" [/ o  M  R' N+ F3 R7 X
  setup-turtles
6 f, U& q: `& D  setup-plots
$ m+ k; `. I* p$ B7 e, o  update-plots
0 u! a2 t- l; i2 |) Jend7 ]( ^! [) x9 k; K! C# j
to setup-patches
# d* u5 @, E, d5 j  ask patches
" }6 n7 s7 J7 x7 @" \1 Y; k2 V& V2 N    [ set max-grain-here 03 B- a- {8 p( ~1 `$ h
      if (random-float 100.0) <= percent-best-land' h6 p; H! J& g6 `7 V+ D
        [ set max-grain-here max-grain3 O' y* q( ]8 q& _
          set grain-here max-grain-here ] ]9 Z! R0 H( P9 B( \! E1 W6 h2 y
  repeat 5+ L/ f2 D1 [' _8 i3 Y
    [ ask patches with [max-grain-here != 0]
' K: `* b: ]) e; x* [( I        [ set grain-here max-grain-here ]
) n7 Y; A. V+ _! ]7 M8 f      diffuse grain-here 0.5 ]
+ W; |, R6 s* ^0 X  repeat 10. N; H6 Z! P) [* D5 B  Y  }7 B
    [ diffuse grain-here 0.5]          $ ?1 X! L, S7 z! D0 L& U- J
  ask patches0 [- C& A) s9 a. _' @( s
    [ set grain-here floor grain-here   
7 E4 U& k- V7 ~  _# J- W      set max-grain-here grain-here      
6 u7 S( x% U# G      recolor-patch ]
+ |. m' U1 j/ l* B6 U! u( Gend
" n% I7 u1 Q, ]0 Ito recolor-patch  
3 o" e9 n/ H/ @& R  set pcolor scale-color sky grain-here 0 max-grain% J! S) v9 U$ K$ O( P# v
end( l0 {. H5 i+ Z
to setup-turtles
# P1 l( q) V/ ~& E  Y% ^  set-default-shape turtles "person"% N- \- H9 G( l- ]% K$ S
  crt num-people2 t/ C. x8 b  o9 S8 L3 b+ H
    [ move-to one-of patches  6 }1 P9 @$ T$ k; R
      set size 1.5  
) H  F7 b/ r- g1 a* H5 N      set-initial-turtle-vars-age" `3 N: R$ d' r( C* f
      set-initial-turtle-vars-wealth
( L: h. ~8 V- e/ L0 C1 ?      set age random life-expectancy ]2 R% O( ?; T& P6 m3 k* |# _- z+ K
  recolor-turtles- D5 t8 w/ _7 f" R5 L- l5 A
end
) u) A. t. ?: l( `  b( B  W9 U/ N; f, G/ f0 C
to set-initial-turtle-vars-age7 v2 S  m. X, C* ^. h  ~
let max-wealth max [wealth] of turtles' O& H# y6 P3 j* \, P1 b; r
   
) B( c3 S" r9 \6 z3 O$ J7 f/ c     ifelse (wealth <= max-wealth / 3)
( o5 s  {5 n: D: v        [ set color red 5 J$ k6 h- D9 @- Z
          set age 01 m/ T( o% G: }) \, h* _
          face one-of neighbors4
" ]& ~1 C$ E# D  A3 L1 D          set life-expectancy life-expectancy-min +
. g+ L4 D: P' S5 t/ b3 G5 [; c0 u                        random life-expectancy-max ; K6 ~: A% r: z6 R
          set metabolism random 1 + metabolism-low0 ~  B1 _0 V7 f9 W9 I. l
          set wealth metabolism + random 303 Q% z( h/ P0 D0 p. X" x1 p  s
          set vision 1 + random max-vision+ _6 g) I7 h7 V
             set wealth  wealth +  Wealth-inherited-low ]
4 X& H% o# M3 u" @        [ ifelse (wealth <= (max-wealth * 2 / 3))
+ e; a" G6 c: @/ F5 f            [ set color yellow ; E4 S% O0 y- N5 R$ ^+ z' A
              set age 0% Z9 I+ P+ T- E# e6 c
              face one-of neighbors4
% c& l& J- a. q: N, }. |, u              set life-expectancy life-expectancy-min +
" \, {0 J$ e6 S% ~3 g                        random life-expectancy-max + 1
9 y; m( K; U: m8 X+ x' G' h              set metabolism  1 + random metabolism-mid, I* P2 t; f; M- ]. I# n7 l
              set wealth metabolism + random 30
  y. a( a( d: L4 s7 V! Q              set vision 3 + random max-vision
6 r' G) `  u6 t1 P$ n                set wealth  wealth + Wealth-inherited-mid]* D8 d+ \) O; `2 v: Y3 A
            [ set color green
# e/ U$ }( }- I( A  g              set age 0
) w7 A6 ?! L/ X! G# H5 x9 T: Y              face one-of neighbors4
9 c& c: T) L. j1 ?1 O! J              set life-expectancy life-expectancy-min +' U* G- X1 S: T1 P
                        random life-expectancy-max  + 2
. R# @+ ]0 x7 ]7 H5 U              set metabolism 2 + random metabolism-up
" x" w& Q7 O% a, o- s5 C' @  I              set wealth metabolism + random 301 V& C+ Q9 ?! o+ i5 j% x3 X2 G
              set vision 3 + random max-vision3 r6 J- q2 \4 o2 \( m
              set wealth  wealth + Wealth-inherited-up ] ]
2 z# r/ s2 o9 Q7 ?1 K7 O
* c' b2 X# s* c2 K( g5 X6 cend9 n6 N* j8 z8 J3 S: ~; }
to set-initial-turtle-vars-wealth. F: \$ c2 j4 \; h
let max-wealth max [wealth] of turtles$ e; ]& B2 U# {& G9 k& G
          set age 04 m' p) M) u# n# T3 d/ n
          face one-of neighbors4 & b" y1 y3 R' m/ H' |
          set life-expectancy life-expectancy-min ++ m: h& v6 a, T
                        random life-expectancy-max - e' ~" G: w$ `! n2 J, V) l, Q# ]  k
          set metabolism 1 + random metabolism-up- V# i" I8 c5 q% Q( U9 c! M9 W
          set wealth metabolism + random 30- F+ t1 }% {, g9 j3 s. x7 z
          set vision 1 + random max-vision ; t& d5 D$ p0 v: f; L" Z
end
) F% ^$ v- q  x0 b: ^; ?4 cto redistribution+ w& R/ f7 L9 x2 W: j. T
let max-wealth max [wealth] of turtles0 p0 z; _9 G" W3 P8 x' `4 X
let min-wealth min [wealth] of turtles( L% b. m7 z! J  a
if (wealth <= max-wealth / 3)
0 ?3 h5 [% d4 W+ u, Y6 e) n4 Z# Y [set wealth  wealth + Low-income-protection ]1 q2 H* X, @4 h3 e. D% @
end) [+ H- W4 c; p7 r& h, O4 i  b* n) b9 a
         
9 {3 ~, k( a4 S- `' N$ S( N1 Vto recolor-turtles
) Y# z' s9 k. W; e+ m- g! w$ B  let max-wealth max [wealth] of turtles
* E( B) k* j4 G- H; ]  ask turtles( I4 W% x7 a9 k2 M
   [ ifelse (wealth <= max-wealth / 3)) ]- e  `! X7 M- s! O6 D
        [ set color red ]6 j  a0 j2 Q1 {1 G0 v- k, k9 s, F
        [ ifelse (wealth <= (max-wealth * 2 / 3))
+ {0 X: I" v0 F; _            [ set color yellow ]. \$ F! J$ A9 i9 X: k" I% {
            [ set color green ] ] ]  i8 t9 e3 ~' ?0 S( d
ask turtles [ifelse show-wealth?
) Y" _$ Y7 x+ e5 v    [ set label wealth ]
4 L1 L  T& q6 s" X: W; j    [ set label "" ]]8 x& D- r. ?6 C
end
% @0 L8 r; `0 h- d
# Z; h  l; V0 d3 [( V% P: gto go# ]: j  h* ~- d; R; o
  ask turtles
0 {# N! S6 ~# ]    [ turn-towards-grain ]  
6 f) v  q$ ^% M3 G  harvest
6 }0 [" E" O% V' Y  ask turtles8 J) z+ Z" ?8 ~
    [ move-eat-age-die ]+ l9 U, f9 ]/ ]+ K# d* k% e* @
  recolor-turtles+ o, W" h0 w# D! v
  if ticks mod grain-growth-interval = 0
! {7 B. x" o0 t, }  H    [ ask patches [ grow-grain ] ]
( E# J- b9 Y. {5 H2 g   
$ m/ |; y* W0 I6 @/ ?  if ticks mod 11 = 0
$ X3 i3 K8 a2 B2 o- v  p2 O7 d  [ask turtles
0 h+ z) Q3 k# |$ C6 i* e9 j  [ redistribution ]]
2 D. r& F* r3 G/ ?- y  if ticks mod 5 = 0* H5 _" ^1 j' I9 o
   [ask turtles
6 c( [4 U, Y! \/ I; E* |! B  [ visions ]]
# M) j9 u6 c* o9 y* \5 W0 a/ L  tick2 P2 v- Z0 u0 r, j# w
  update-plots( q! C" K: z# V4 P
end: |' W: D; S: }+ X- x; U
to visions6 d: N( S. ]9 k+ }0 B( c( L  G$ r/ p4 H1 h
set vision vision + 1 5 B5 \! d. E' I. o+ n) K" [- u5 @+ f- P
end2 D7 }  g( O8 Q1 J3 D# j
1 Q6 ?! P5 O1 O" V

- g1 ?4 ~' e( D0 |" V4 ^( b" L5 t# v4 F
to turn-towards-grain  ! J# f1 u4 z) r9 ~
  set heading 0
1 U+ p" P2 j3 F  let best-direction 0$ n. c, M% M0 E( K2 R- H
  let best-amount grain-ahead- |5 P% r/ U# [: C3 F$ [* \
  set heading 909 T8 |1 I  F/ \, Y
  if (grain-ahead > best-amount)
# `0 X5 q, ~7 \; t8 z4 p    [ set best-direction 902 K' T8 a% X2 }1 M% P' v/ R1 v
      set best-amount grain-ahead ]! @! K2 s. B2 r9 E/ F4 Y
  set heading 180& {) W8 u( r/ K9 c& G; d8 Y
  if (grain-ahead > best-amount)
' \/ \* \5 ~0 F( t  N  |+ M! ^  M6 X    [ set best-direction 180( w3 E  o2 o5 x+ a7 g, W
      set best-amount grain-ahead ]+ a, r7 K3 V8 |2 @
  set heading 270: a& ]* y2 W8 b6 K; x
  if (grain-ahead > best-amount)
8 h, X0 |( Y$ x    [ set best-direction 270
3 B) `! w% h6 p0 p9 r      set best-amount grain-ahead ]
9 n: }1 G# l2 Y! a  set heading best-direction) S! {( S8 p1 G8 Z8 Z
end
5 ~4 O% }2 {. V8 u. Y
: C, [- c! w* J$ ^/ C+ u. m, D8 I% X5 G3 u, {
to-report grain-ahead  
/ x. P8 a/ a5 l/ R: y+ V5 {7 d  let total 0) ~2 P( {9 c7 l7 ]! H8 _# r
  let how-far 1( w8 H. N: a* b0 W, J/ R% B% C
  repeat vision
! y! b+ [8 k: D" H- J    [ set total total + [grain-here] of patch-ahead how-far
6 w2 H7 A6 c" Y: v4 X7 u/ ^      set how-far how-far + 1 ]
- W; K5 m" _6 M; \7 s  report total7 l2 b/ v/ N7 R2 c4 _5 f/ F: p
end
0 x# r9 z, y5 n  J6 ^' }, S5 S  k) a
to grow-grain
4 T4 u% f& M7 n( F. o  if (grain-here < max-grain-here)/ T# Q! k8 R7 M) M6 ]$ }
    [ set grain-here grain-here + num-grain-grown
& N# t% _4 T8 o( E      if (grain-here > max-grain-here)
3 U9 L- w$ y# J        [ set grain-here max-grain-here ]+ D/ t# f* W  X( P: T7 ?  F4 }
      recolor-patch ]- T! U& U" K& ^2 ?9 G
end
) u  S/ c! h4 U% {, hto harvest
# S- R6 P9 A- g  ask turtles- z& w: c1 Z7 P2 F1 c' A! ]% d
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
! I1 s+ r# \+ i" B, t6 d  ask turtles7 \: \0 M& e+ E: U: F: p
    [ set grain-here 0
0 f+ ~: @7 S2 ?/ {4 p0 Y      recolor-patch ]+ n/ S- j2 N6 ?" U1 m# k4 i$ F
  
1 S" V* l* w4 q9 y. m- g2 g! q( Dend5 B, b! |. {. i7 N
; d0 E* j# X/ `( u* r% V& O
to move-eat-age-die  
4 k5 B" m' y9 s4 \  fd 15 V% H7 b, J. Y0 s3 h* L" Y) {
  set wealth (wealth - metabolism)7 _( x9 ~0 o7 k4 h9 O
    set age (age + 1)
! ?9 Z4 Y6 n. K# m1 `  if (age >= life-expectancy)
- P; g! ]9 ?8 a2 g" ?+ ?    [ set-initial-turtle-vars-age ]
% Q" ?: W) y4 h  if (wealth < 0)
  z1 i: D2 y! B1 b    [ set-initial-turtle-vars-wealth ]- a+ G2 S8 ^3 f! c9 R. t
    3 F& j' h1 D. U: M: t
end. R6 ~8 \  w0 L+ w9 c

3 D# ~' B- T4 ]4 S# Z. W- y
2 j8 H1 R# U1 p0 a  g+ [% Xto setup-plots4 k$ n9 B& H3 C! @
  set-current-plot "Class Plot"
. V) \) c( q1 G1 C  set-plot-y-range 0 num-people
: \% d* X; F* ^- g$ e% y3 P  set-current-plot "Class Histogram"
+ p3 a% r& o6 S  set-plot-y-range 0 num-people/ F8 m8 H6 q7 k: X4 g; r% Y
end
7 [6 F# [5 w# r3 o5 p+ S) f
. _6 T+ x; ^" o' e- }to update-plots( }* d2 U6 i; Q3 n" Y. `' i
  update-class-plot
8 M0 x$ O, u$ o9 \  update-class-histogram
% e! K1 p% g) z, U1 W/ a% D  update-lorenz-and-gini-plots, {; v. D/ {& Z7 O2 u
end
% W/ p# w- ^& d/ o0 Q8 ?# a' I9 }
, h5 N1 T# v8 ?6 r0 S# Wto update-class-plot
2 C% ^. k9 x" t& [  set-current-plot "Class Plot"
; n! P. q5 i6 K( }- c8 n6 }9 O) p" {6 }  set-current-plot-pen "low"3 z! W7 b/ m5 Y
  plot count turtles with [color = red]3 W( W" w, r$ l6 r5 l6 M. Y  \
  set-current-plot-pen "mid"
8 q; e) a) s9 w' Y: C$ h1 K  plot count turtles with [color = yellow]! q8 ^; r9 P* ~" l, d
  set-current-plot-pen "up"$ G9 a, j4 E# ]+ a# Y
  plot count turtles with [color = green]
4 K- ~- N9 W  p; n" Send
9 d. T  {+ z- ]: v9 n1 X3 h3 y
to update-class-histogram, L4 i2 [; m6 s' p8 Q; v
  set-current-plot "Class Histogram"
3 K1 D' a, w2 n$ K& e6 q  plot-pen-reset/ Y' v# u6 b3 T9 t+ o
  set-plot-pen-color red5 J- y2 Q( O1 I6 B; |
  plot count turtles with [color = red]
! C; _$ y$ v3 ^" ?  set-plot-pen-color yellow
# ~1 b7 T9 d  k, \1 |9 c  plot count turtles with [color = yellow]& X2 w( m$ N8 @+ t. R
  set-plot-pen-color green
1 _) K' s3 N  O! |8 K  plot count turtles with [color = green]
7 n$ r& B8 ^# z7 i5 M7 Fend
: K4 U" `! x4 {' T1 ]$ Hto update-lorenz-and-gini-plots
" Q  l7 g7 c; E* |  C; a/ ?4 K  set-current-plot "Lorenz Curve"7 d" J0 v& [6 h' y! F! Q
  clear-plot' U+ M/ t0 B) @7 j
2 I+ i- F! F1 {* Q3 Q
  set-current-plot-pen "equal": d" e( K% N; C: q; C) ~- B* @. X
  plot 00 Q' j$ n0 X' i4 T
  plot 100
; Z0 y" L- {8 l  H* {
7 l4 q# {& a% |  set-current-plot-pen "lorenz"5 H; B( J2 b3 x; Q: X6 h9 q6 @
  set-plot-pen-interval 100 / num-people
5 z! C7 j: Y! Q, s& m$ D( d- I7 U$ y! V  plot 0
, p( a9 Q4 G6 ~: z( v* f& ^
! s# G$ a7 @; Q* d" a3 Q  let sorted-wealths sort [wealth] of turtles
+ B$ c1 B4 Y" f  let total-wealth sum sorted-wealths+ b4 u- e# t; o; _
  let wealth-sum-so-far 08 S( T, X9 e& v" k
  let index 0$ B; K. W. ~' @* ^5 o: @
  let gini-index-reserve 09 W% c# S! y  ]8 }- n
4 Q& w  h8 ]. A+ `5 m. ]+ {
  repeat num-people [
4 F3 C) I8 g* X5 B- P9 H    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)1 w. ]5 e) t2 L4 `
    plot (wealth-sum-so-far / total-wealth) * 100
3 E% [$ V7 [2 w' W" O) X    set index (index + 1)) f( o8 R4 U( U3 S1 G5 \& n( M
    set gini-index-reserve  z/ L2 g. Z$ n6 D* g: m
      gini-index-reserve +* c* r+ j* H, A& }# V8 }
      (index / num-people) -
' P5 |) a7 d4 K- h, s7 `8 ~      (wealth-sum-so-far / total-wealth)
: J8 ?$ F" F+ n/ ^, O  ]
" d7 d# Y& m# v! |; O. V" ]2 F4 m& a  v# }% _8 R
  set-current-plot "Gini-Index v. Time"# _; V6 B" w" |2 I4 J/ {
  plot (gini-index-reserve / num-people) / area-of-equality-triangle: f$ r3 J; t9 R& j
end
* N$ U9 R6 |( @4 Q/ ~' ?3 u4 }to-report area-of-equality-triangle
* r. d5 R9 e* ~: r/ j; l0 J2 v+ d  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
) f  j& H& K0 _  [$ ~/ a7 qend
 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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