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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( B7 C& Q/ x+ w- ~/ U1 |
globals) z6 b; p5 N# A# y! z
[
9 V9 @4 C4 `9 {+ F- a  max-grain    - U% K! a/ |& j& e5 l
* B" a* n  ~9 B, `
]6 j2 `% S4 w8 `0 P2 F  r; B* C

1 c! I# x- G+ m( ^patches-own$ X, q, _7 X" X2 e7 h: j4 y
[6 R' Y: e$ W; W& z8 B/ d
  grain-here      
% N' v' v+ f/ r) H  max-grain-here  4 l6 b# i2 b' f2 o- ]) R
]
  q% ?1 d6 t2 Q1 @* c3 Z0 m! E
* s# W+ c3 f# o  E1 Qturtles-own( X, C3 N$ B# F. a! M. u% Z
[
; @$ \2 X4 u1 I  age              4 J( V! L3 X7 Z- C) j; ^2 _- _& ]
  wealth         9 \' d. w, r  e  u$ S3 R
  life-expectancy  % j& s1 Q& R3 p+ m  t% \7 _
  metabolism      
5 ^% b. R6 ?! g6 x* y  vision
' W3 Z9 P) s) h  inherited         
/ f+ u# f+ a7 P: G4 p3 ^/ C]
# G' b! X8 w& _% ]4 `# ^$ b6 [
; c0 H# O& p" E: }' A
% f8 w! a4 W- Z4 S: k# y$ I4 }9 mto setup
% D' o: ~4 e* _; ]$ c  ca
" I9 p5 d: _4 J4 ~) U; d, x  set max-grain 50
4 ^) W% [1 s$ v+ l! Z! k' R1 g4 h  setup-patches8 _, S2 c& a$ y1 K" V( x$ |  b$ p
  setup-turtles
6 J$ `" u; V7 l+ R2 @  setup-plots# ~+ o& q  y7 [+ n1 f
  update-plots! R3 j' V. d8 y% N6 _  B% T
end
4 b4 G" l  _7 Y% Q4 L% Gto setup-patches
; Q( U+ ?- X. T1 B; {6 u6 g% K  ask patches6 [' [/ [$ l) ~3 B3 |1 {7 G2 h9 M
    [ set max-grain-here 03 E$ T! n) s& u. F; B9 N
      if (random-float 100.0) <= percent-best-land8 R, X' _* ?. b+ a0 n" u" q
        [ set max-grain-here max-grain
* I" ~5 _" `4 g4 l) s          set grain-here max-grain-here ] ]
0 `4 U' G. w  R/ T) g  repeat 5( f+ A' u2 w$ N/ I
    [ ask patches with [max-grain-here != 0]
5 J% x  k; x+ t6 Z+ j        [ set grain-here max-grain-here ]
, E2 r2 i/ E8 D+ y      diffuse grain-here 0.5 ]
6 e0 p/ Z" I- ^6 f  repeat 10
# M3 P1 j1 J% h  T! v! h3 a    [ diffuse grain-here 0.5]         
+ v9 ~  k0 W2 I  ask patches
6 E6 Y- i4 v* w3 I    [ set grain-here floor grain-here   
9 ?0 d9 d; W6 e0 L* a7 i. ^      set max-grain-here grain-here      ( v) n( ~1 b+ I
      recolor-patch ]
. T) q' I" K# I) `end
7 i: V) d; j* f' v/ Yto recolor-patch  
3 ^" S. T' |9 `2 y; C  set pcolor scale-color sky grain-here 0 max-grain: L' |  n" ?  F& W) ]0 b
end' G+ O9 a& @, b5 d2 L
to setup-turtles
% [2 R' b& L' L( f. w$ s  set-default-shape turtles "person"
" l. I: \' Y: h- m; j  crt num-people
7 a' g; w& J! Z# z, A( t8 q    [ move-to one-of patches  7 ?7 H, e6 @, g$ R
      set size 1.5  5 k' I- I- k5 i" d8 K4 I
      set-initial-turtle-vars-age! I4 @+ R" A" |% {, v5 M
      set-initial-turtle-vars-wealth) G; u6 P! W+ ]* H' y) R
      set age random life-expectancy ]
: r+ B: }$ F0 v& l9 l  recolor-turtles" x. g8 z% w' V$ D# n
end
$ d- E! A$ d* v' ]' ~- h
& V+ ~3 Y8 q# P; u7 wto set-initial-turtle-vars-age2 Y$ G# B. B. {$ p  p; F
let max-wealth max [wealth] of turtles" Y# A4 _" h- C* t# E
    ( G  y( Y( q# b1 h- ]
     ifelse (wealth <= max-wealth / 3)( q# j/ d1 P" y! {. |9 W/ v
        [ set color red
" S5 }: C" r: M/ K          set age 0
7 W+ o& j5 h) t          face one-of neighbors4 , w# l1 z  c4 D  {. z1 G5 `
          set life-expectancy life-expectancy-min +
7 h" n2 Y8 p4 i# u, _/ j' S6 I                        random life-expectancy-max . P$ }! j* }" S9 m" I& b& d1 f
          set metabolism random 1 + metabolism-low/ z6 o* K' I+ G* B+ H
          set wealth metabolism + random 30# _. Z: E2 _9 y& |
          set vision 1 + random max-vision
, \; }5 G) K7 M3 r5 @. V( t             set wealth  wealth +  Wealth-inherited-low ]  x' i0 h5 a" {8 Z
        [ ifelse (wealth <= (max-wealth * 2 / 3))# z# {  P4 e( |+ g8 p
            [ set color yellow 2 o4 i- {$ s) U4 g( G
              set age 0
: t, \; T9 b8 d- v5 i              face one-of neighbors4 7 i7 P% q/ x1 h, N% Y* v
              set life-expectancy life-expectancy-min +
4 h) }0 w$ v" ^" |' q                        random life-expectancy-max + 1
: F0 g. d& ^/ c2 O, P( l7 ]3 w              set metabolism  1 + random metabolism-mid
8 ^' P! v+ i2 l/ L# C* }: y              set wealth metabolism + random 30
) o7 j" W! m/ Y1 n) W              set vision 3 + random max-vision
5 U) j" Z& X" f) ^/ Z                set wealth  wealth + Wealth-inherited-mid]5 n' K2 o' l. b* L
            [ set color green
# e3 G$ r& H1 W3 g$ @5 W3 {              set age 0
% N! |- C& [% Y2 [: n; L              face one-of neighbors4
" E- w3 ~/ q7 P              set life-expectancy life-expectancy-min +
; c8 o" E( A4 ^4 A6 y) D                        random life-expectancy-max  + 2
5 f* U5 x# A% m+ \+ J              set metabolism 2 + random metabolism-up1 c2 E! s. O) }7 E9 C
              set wealth metabolism + random 30, }6 I# _% q  L$ f4 M0 \, ~$ \
              set vision 3 + random max-vision
6 S0 H3 C$ j: N$ F' _0 K              set wealth  wealth + Wealth-inherited-up ] ] ; g6 i+ l9 B; ]: N; h9 @
# C% K9 g( `' o" p1 r
end4 S/ g. R5 x, N
to set-initial-turtle-vars-wealth
" _: _! p5 v1 q let max-wealth max [wealth] of turtles
8 p+ c% Y# ^. c" X9 F          set age 0* D: k% G- f7 \
          face one-of neighbors4 , d4 E7 L0 S& h  w% H: b% [5 K
          set life-expectancy life-expectancy-min +
2 I/ i2 m5 ?. t+ |3 M* Q                        random life-expectancy-max
$ `5 k2 R4 \) v( [          set metabolism 1 + random metabolism-up
8 s+ E5 r: E# P5 G; Z- C2 n& m          set wealth metabolism + random 30% s1 g8 M& X8 c( c( b
          set vision 1 + random max-vision
$ b, c5 n5 ~2 O: Yend6 _: Z& G1 a( y, v" [" r
to redistribution
6 I4 O- o7 B0 A4 Y) u. z8 zlet max-wealth max [wealth] of turtles- \+ [; M3 X+ y1 }3 W
let min-wealth min [wealth] of turtles  }( K* y4 G4 Q, v) ]
if (wealth <= max-wealth / 3)
9 P! {5 O6 ?- m' c. D3 l( z [set wealth  wealth + Low-income-protection ]
9 R* Q5 l: _3 k" }2 j; yend2 }4 t* m2 q& h# t: N
          ) B) e8 e: j. A" r1 C( g
to recolor-turtles
" R0 e' V9 h* Z$ I  let max-wealth max [wealth] of turtles
2 l9 ^* W- p; S  G4 e# {  ask turtles$ h& {* {% O" d, u5 q# v3 u5 j
   [ ifelse (wealth <= max-wealth / 3)% X( F! [! r# ^$ O; |% K
        [ set color red ]* K; b% [. k& R( s
        [ ifelse (wealth <= (max-wealth * 2 / 3))
" W3 f3 X% ?+ x, w2 R            [ set color yellow ]
& O+ J- u) q+ h            [ set color green ] ] ]4 K2 ?) s9 ^6 M  ^+ X( r% Q1 A
ask turtles [ifelse show-wealth?% B6 C; E9 J( @9 z* T% `
    [ set label wealth ]" F4 Y2 y* W. c4 w0 X1 Q5 c& G) r
    [ set label "" ]]
$ I0 Y! O9 x8 S5 k; n, n# \end+ F  |5 H  k7 \  ]. t& m5 X* D# Q
6 b& q, @8 c- v. L
to go
2 N$ L0 I# u) E0 {# J$ a  ask turtles% J7 e1 c, z5 k( h- i
    [ turn-towards-grain ]  $ I* {1 u0 h: I9 x& d- S4 A) X
  harvest
" p, m7 V( I: s: M) I" F" b  ask turtles
6 |6 M$ N2 C/ K  Y! B% N    [ move-eat-age-die ]' [& x; @! q- \# L6 `/ o
  recolor-turtles
5 I% M, t' B$ u% a( ]8 c- ]  if ticks mod grain-growth-interval = 0
- s4 L; p& z. F$ ^# i) E: B    [ ask patches [ grow-grain ] ]+ z* Q# i/ C. y$ t. p* ]
   
; W4 O9 r" N% H& f; p: K4 B  if ticks mod 11 = 0& H3 U" J9 S) z9 F( M# r9 B
  [ask turtles5 u1 ]! o2 O0 O" D% D. l% ]
  [ redistribution ]]
# ^! M! \: \' \  if ticks mod 5 = 09 g0 M9 h' A! f! Q4 c
   [ask turtles) C" E6 M, n. w
  [ visions ]]  H7 h4 \1 z$ E6 e
  tick& o0 ?3 B2 f7 H: x2 ~
  update-plots
' A( B. P- r& P6 S% U1 S' i3 g8 H4 Gend9 B, e3 F& ?1 v
to visions1 ?" n" @! d# p& y* Y" R; M  n2 s. m
set vision vision + 1 9 B; G. ?0 K* o+ h( e& X
end
, h* |0 }0 h: c& a" `
( a+ F# V( c+ N5 B& s5 y) I: Z+ |% N* d# r: ^

* e6 z% [. ]6 p2 Ito turn-towards-grain  7 k. n8 v( {1 R( e- H
  set heading 01 g: c, z$ ~4 ~0 k
  let best-direction 05 b; I3 p7 P/ \3 h  D2 l9 s1 c
  let best-amount grain-ahead
( F% R# K5 h" z/ h1 g0 C  set heading 90
- K7 e6 ]% G5 ]  N* g( R  if (grain-ahead > best-amount)
" `# K; E% ?& j$ H6 O1 G9 ~, l$ x    [ set best-direction 90
, o& g( @0 B# X4 X& @      set best-amount grain-ahead ]( c) a5 J, b, X. M! h; {: Q- b
  set heading 180
! ]/ O7 P' B. i4 `* {: o2 ^  if (grain-ahead > best-amount)& d* T) v  _6 ^. t
    [ set best-direction 180: ?7 \5 Y7 r4 G. J/ ]- q: E
      set best-amount grain-ahead ]( O3 u% S8 r$ U. R- F' a% @
  set heading 270- E0 c* E/ e, R( t6 F) F
  if (grain-ahead > best-amount)
# B" G! B1 u# u5 j    [ set best-direction 270
. z5 ?8 ?. W- Z6 C      set best-amount grain-ahead ]% K2 N. A( ]) Y3 L. O) Q- B* {; c
  set heading best-direction
% d7 M3 J. p- V7 K6 P0 E5 c3 [8 kend
) A5 y$ C5 I+ a9 l# A# m1 }; ^- o: W

  t! B1 c% o, `" x6 q' r) B% pto-report grain-ahead  9 w! a& M( {; Y; Y+ r# {# S
  let total 0
# G/ I7 M2 G# ^9 p  let how-far 1- R3 b2 W* O8 x8 [% M
  repeat vision
! p! P+ }  I+ B0 `- d  _% H, d    [ set total total + [grain-here] of patch-ahead how-far# ^9 k9 d  P- k  r# G1 ]& e
      set how-far how-far + 1 ]
, r6 d/ d* J; ]) S6 u# p  report total
( S" L& G% W5 S% A! p5 gend
2 S3 G! S8 v, E: Z* [# @/ }# M7 ?. j: ], r8 f
to grow-grain
+ P8 Z2 j2 p% [9 J  if (grain-here < max-grain-here), b  N1 W3 p" ]# `
    [ set grain-here grain-here + num-grain-grown
( X: U5 M5 e/ T) N! V' f      if (grain-here > max-grain-here) ) b) w" E" @, {  J8 d# f( S
        [ set grain-here max-grain-here ]. A; G: N+ c% @. l
      recolor-patch ]" }( m/ `. ^3 x  L
end* Z+ B/ w; i+ ]
to harvest
1 q- ^( H  j( f: B* `# Q& |  ask turtles
1 l, U* N( \/ Z! F0 m! X( I1 M    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
' U5 V7 `1 h3 i# S  h* `0 [4 w. l  ask turtles9 d% t$ J4 L$ m. D
    [ set grain-here 0/ y9 \/ o. x* }/ t0 H; y2 N
      recolor-patch ]
5 r  \" I+ c, k0 S3 X8 j  
$ C, ^, ^" e" x, ]/ l  Dend( M1 C4 ^: e9 M6 j: S

6 w, Q& }# d7 ito move-eat-age-die  
4 X( D; ]5 M9 z" _  fd 19 s# l$ I! t  A3 X) ^8 b5 s
  set wealth (wealth - metabolism)9 D, J0 H& ?; i( I: N( S' ^8 x
    set age (age + 1)( N9 x/ }. i/ G% p+ Y. X$ D
  if (age >= life-expectancy)
4 s7 W9 m5 }; d" z    [ set-initial-turtle-vars-age ]
" I% A( K: |9 l8 ^! X' b  if (wealth < 0)
7 H0 T+ I* }  d    [ set-initial-turtle-vars-wealth ]
: ?1 T6 X( ^+ I. p   
2 |  d: ?7 a' t( Q  C0 cend. p% S4 {6 a: [
" ~1 y) v7 G( p" X1 h0 K1 H
2 T3 {: h1 g& J2 w. G: g
to setup-plots
7 L) [$ a& D! m/ |+ d! r8 D  set-current-plot "Class Plot"
+ F3 N; x, |: s; Q4 F  set-plot-y-range 0 num-people) l: u7 M5 g7 ^8 a! d
  set-current-plot "Class Histogram"7 X1 X, N% z& \
  set-plot-y-range 0 num-people$ v7 z& k: m- h, B2 g8 y9 B, _
end
+ ^) |3 `! Y% j0 N5 I4 v$ l( u$ E" |( a' r3 j4 T: W' e( `6 s. P
to update-plots
6 l5 h. v7 q" \. C1 l  update-class-plot
& k3 R& `& S+ m. J& v  update-class-histogram& `# O8 ~: ?; n7 v! [
  update-lorenz-and-gini-plots: R, Z( n0 K3 e+ z# N, ]; p
end
% t3 l2 a& ~" Q( L
/ z2 E  n9 |2 B2 Mto update-class-plot
( a& z: E& h, F  set-current-plot "Class Plot"
6 b! D) S7 Q0 `# d% C0 w  set-current-plot-pen "low"
% Y4 \" R) |- s7 b4 U; ?1 O  plot count turtles with [color = red]
+ j- X+ B% ?+ F# ?, H% l2 a/ V" R- ?& E  set-current-plot-pen "mid"
7 o+ h& B: h( I8 z  plot count turtles with [color = yellow]  |/ @0 B: ]( c  r1 ?
  set-current-plot-pen "up"/ g8 ]9 h3 T. L( C9 t: j6 k. d
  plot count turtles with [color = green]: r) f  j% g0 |& u! d$ S! R; p
end( {4 T$ K: o+ f1 C7 i

' ]8 @9 @3 O- g5 mto update-class-histogram
" R# T3 Q; U2 ~1 a. ?3 U  set-current-plot "Class Histogram"
4 Q# ~' b9 W$ u8 q& t6 W  plot-pen-reset/ m$ H" I$ `+ p0 H, }
  set-plot-pen-color red( L) s3 V: b+ C3 v
  plot count turtles with [color = red]. d3 w+ S9 X" _. w' b- \* K
  set-plot-pen-color yellow
" [6 m) Z/ j4 ]  n1 B4 @0 z$ Q  plot count turtles with [color = yellow]
6 J: G) p, ^  {& j0 a  set-plot-pen-color green  S1 M% Y4 \$ X) T7 h- U
  plot count turtles with [color = green]6 i* l1 r6 [+ a. z* v; E
end+ G1 ~7 b$ z- p# l3 I
to update-lorenz-and-gini-plots! {# m, a# F, w2 f+ \. e  i
  set-current-plot "Lorenz Curve"+ h) K; K" s) I; V, b9 j3 m
  clear-plot
% I$ K$ \2 ~" y' r8 ~' F  f  G2 b' E) x( P' E
  set-current-plot-pen "equal") X% H+ Q7 b. i+ B/ Q2 ?& k; Y
  plot 0! f- u; I0 \' y6 l' s+ ^4 |8 N1 J0 A
  plot 100
! z: \% z/ n, j6 ?
* O: @: \; }0 i9 r  set-current-plot-pen "lorenz"9 V1 H4 _. u, o( `# R8 ^
  set-plot-pen-interval 100 / num-people
1 ]) U1 ?! p* u  plot 0  D6 n3 N0 ]" h- u9 l

$ R* i& Z% P5 b* W0 I  let sorted-wealths sort [wealth] of turtles/ [8 ^0 D; o3 K7 t8 p# ~' p
  let total-wealth sum sorted-wealths- p0 d$ t9 B0 ^3 ?9 \0 B
  let wealth-sum-so-far 03 F! o; V4 o* @6 d; R( D; S
  let index 0
% T$ i* r' O6 y( L( p  let gini-index-reserve 05 q" A% g: ]  u& F1 W; A
3 j1 o9 _! a$ R% ]0 A( J/ Q
  repeat num-people [
8 ~' D7 q+ a: \' I$ L+ z    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
! i: e% [) ~+ B. U! s% S    plot (wealth-sum-so-far / total-wealth) * 100
2 y  x2 Z) H$ Z- [: `' W    set index (index + 1): `7 R$ j6 B; T
    set gini-index-reserve8 Z) W# l. C& x7 ?5 r) D/ m6 t) \$ a7 T
      gini-index-reserve +
* d2 D5 m" `2 S      (index / num-people) -) m! _7 `2 Q6 D2 b/ H) h' P9 l! Q
      (wealth-sum-so-far / total-wealth)
* a4 X" ?% e4 G  ]
4 K( g9 Z2 Q+ l
9 @- L- v; Q) v- y  set-current-plot "Gini-Index v. Time"1 t) O% K/ k4 c/ c& @5 h/ O
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
' B& k1 R' E0 c6 M# {end" L# L$ p" p" u3 d
to-report area-of-equality-triangle6 r7 H! F! O- O8 Y+ y( p
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)5 d+ d. O0 b, c/ @$ q* o, X
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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