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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
4 a# E& u1 q) z$ {, m' U* K0 Fglobals5 Y) c3 P& g0 A# `
[
, _9 i$ Q  k8 Y; }" h+ n, w9 G  max-grain    / S) ^6 b  X; q  R3 U
2 p5 q1 s# w! ^9 N( [9 }6 f
]
+ B$ ~# m: ]$ m9 u) ?( W; h+ ~2 L# t: C
patches-own, j+ @6 \$ n9 ?  K( N+ F
[
6 y; B+ t6 i1 C' j/ E  grain-here      
  }' [. I  i9 K  max-grain-here  
5 E# ]" @; ]4 ~]
7 f- U  }3 g5 b6 R2 G. E% Z. U* I: M
turtles-own
, N9 e  O) i: L( {[
# _) h3 R/ i! R' E7 Z  age              * m! I1 s/ t' a+ a1 f
  wealth         $ n5 U8 H: Z# v6 O. [2 _+ M* s# w( _6 e
  life-expectancy  
) d3 W5 r9 P1 d% x8 z4 C  metabolism       8 D& x9 y# j3 X+ B7 J' P
  vision' J0 Y* \6 Y5 B+ S
  inherited         
  h% g0 i3 N9 I/ \0 x: N]
7 c8 M' M+ O2 a# V. _" S  n, t4 j7 H

9 d: D/ _. }7 J5 B; |* i  h, y1 g( ~to setup
4 Z* n! @1 e2 T; Z3 j/ U& a  ca& ^+ E2 j! Y" {7 p& N  N
  set max-grain 50! V3 r" B: ~5 G8 p7 q! w9 J
  setup-patches
2 J% @+ Z4 @7 l) E. ~+ {- s% `) V0 P  setup-turtles
- q% t+ n. _% N  setup-plots
0 z* g6 @2 u5 N  update-plots
& x) R9 f2 t( w# \+ Q4 F0 }  ]% C5 ]end
' L7 d" i3 v+ I. Y* ^+ tto setup-patches9 p7 Z$ y+ _  W
  ask patches
( ~2 d, k/ I* C+ B    [ set max-grain-here 0
- G, o, k( i1 c0 v( D      if (random-float 100.0) <= percent-best-land' x& s# x% Z( z  c7 i# J9 d
        [ set max-grain-here max-grain& Y; x6 O. O/ f) q5 g! k
          set grain-here max-grain-here ] ]* r! N! c- q  t$ C. v/ J. q5 B
  repeat 56 j7 O  `1 M' @* r6 H. g: ^+ c  s
    [ ask patches with [max-grain-here != 0]
! z3 q! [4 T- |9 L$ H        [ set grain-here max-grain-here ]  d% y$ n5 G+ W4 _( U$ T- [
      diffuse grain-here 0.5 ]
: V2 Z1 i; V" c- I9 V) @  repeat 10  P2 K+ i0 M7 `9 j7 g
    [ diffuse grain-here 0.5]          % H/ Y0 {8 ?1 I9 t3 Q+ A2 A$ j* s
  ask patches/ T/ d: E7 n3 o# u; }. M
    [ set grain-here floor grain-here    5 U( p$ j% h: a  ?
      set max-grain-here grain-here      
# V7 s( ]4 S, k/ e3 o, x      recolor-patch ], |& i+ p- l$ k, L/ C
end
# I$ H9 w0 @- d! ^8 z7 \to recolor-patch  # U$ v3 n  A! b7 G
  set pcolor scale-color sky grain-here 0 max-grain
" M% Z! }- B  F7 P+ T& |5 @5 Nend
: u$ S# f- a  N7 [9 |% T3 {to setup-turtles
2 Y3 a# {4 H% Q. C6 \  set-default-shape turtles "person"4 M, U" }( T/ p" e. t" p
  crt num-people; r7 h) N- q8 l5 x
    [ move-to one-of patches  7 E5 c; Q# ^8 `' F0 k
      set size 1.5  
2 H& Y& o% ~5 w4 v      set-initial-turtle-vars-age
3 P6 ~7 K) m, E/ Q, B5 i# k- m5 r2 z      set-initial-turtle-vars-wealth* x  N3 u. i+ p
      set age random life-expectancy ]
- c# u& q7 z# v' E# b% |  recolor-turtles
+ v2 l$ w( p& T' P2 Yend
  z' S- s4 G. p6 Y, ]8 q/ ~6 o! \9 Y9 V; U% B8 d  z' U1 s
to set-initial-turtle-vars-age5 u( V3 F3 x7 ~5 T: J2 \' f, K# w9 c
let max-wealth max [wealth] of turtles$ G3 G/ l: v0 u
   
% ]9 Q  m/ B% k  T8 l     ifelse (wealth <= max-wealth / 3)+ A1 O8 m4 M& J, k/ N+ b( t$ V  h
        [ set color red   S$ ^% g+ V: N6 w0 [
          set age 0# H, `( z6 y* w, {7 O* L
          face one-of neighbors4 - f1 W% u  t) U+ s- M# b! R
          set life-expectancy life-expectancy-min +
1 V( U% Y" o" ~* ^                        random life-expectancy-max 2 r8 K7 p0 e' x
          set metabolism random 1 + metabolism-low
- }; x( m: u" `3 K) [          set wealth metabolism + random 30
5 w2 z! S' U+ z, G1 ~) r( M# r! r          set vision 1 + random max-vision1 S  g+ H% W- |& y
             set wealth  wealth +  Wealth-inherited-low ]# J3 @- ~( }, Y+ P/ W
        [ ifelse (wealth <= (max-wealth * 2 / 3))
: J) ^- X3 A6 N6 ^            [ set color yellow * m& g! a$ g1 v2 t3 ]6 w0 V- r
              set age 02 ~+ y# B6 h2 C9 H1 h
              face one-of neighbors4 - b$ k+ Z1 w5 }+ ^: W7 c. q/ T
              set life-expectancy life-expectancy-min +
: R- l* H+ C. q, ?9 ~! ~1 ^# ?                        random life-expectancy-max + 14 b6 u& R2 ~* d% O0 U
              set metabolism  1 + random metabolism-mid
4 o% y4 |! h' D$ ^$ F              set wealth metabolism + random 30" k- T3 ^9 s  h3 U+ g. T# [
              set vision 3 + random max-vision4 w7 y, _& c+ r$ r* F
                set wealth  wealth + Wealth-inherited-mid]( q. i0 w1 Y$ U% d! j4 C( l% [; A
            [ set color green
' m# L$ F& c5 C5 N6 E+ z              set age 0* {' ]- m9 y& g6 S4 j+ B0 l- }) J) j
              face one-of neighbors4
3 Q  ?5 J7 @, ~* F2 F- F              set life-expectancy life-expectancy-min +& \7 a9 ?2 b  z" `7 P% H2 O
                        random life-expectancy-max  + 2
& V. l0 X* r. ~7 Y) k9 k              set metabolism 2 + random metabolism-up, ^  [" C5 _+ E7 J5 ?; `5 e# j5 T
              set wealth metabolism + random 30
% C+ [8 A; G  L              set vision 3 + random max-vision
8 [5 @* c$ ?! d: Z( y              set wealth  wealth + Wealth-inherited-up ] ] - G" @" u: a6 O

# O7 t7 V, X6 @/ s5 _. Z! x7 a/ bend! B: N9 E( B+ T8 t- F8 M
to set-initial-turtle-vars-wealth
! v- F3 Q" V+ A" Z3 Z( W let max-wealth max [wealth] of turtles9 h& h* U1 z8 \$ R9 U( W/ E
          set age 0$ }/ K' {; `' r0 y
          face one-of neighbors4
' X1 O9 X  l$ L2 P1 v. k* Q. d# N3 D          set life-expectancy life-expectancy-min +* V0 ~2 Y3 o) n7 K" u6 J2 w
                        random life-expectancy-max + {2 S+ U' C+ W8 p0 T% }3 a
          set metabolism 1 + random metabolism-up6 P  r/ i# l! l: B6 V7 O# R# q
          set wealth metabolism + random 30
$ D, z0 L0 g1 h) o( _          set vision 1 + random max-vision
: J$ ^! F4 n- `+ K; Wend2 u) c# E/ [+ I. L( W
to redistribution
- y3 [" D  O' ]8 C3 l! X+ f5 ?- Alet max-wealth max [wealth] of turtles
6 k/ o2 K+ i3 l4 o/ q$ T$ t- g" nlet min-wealth min [wealth] of turtles5 H% T0 H! X' W' g2 k+ ]
if (wealth <= max-wealth / 3)
/ U0 z7 O5 B" |' y [set wealth  wealth + Low-income-protection ]. L4 M& `4 g/ o$ L! g0 k8 X
end
! g; ^$ C# _) _          & N. y1 F* |/ k% }2 |- ~5 x% s
to recolor-turtles
( ]0 r2 W+ f* B! i& F$ }6 D2 ?$ ]( S  let max-wealth max [wealth] of turtles& t' F/ p# v/ d7 L; v
  ask turtles
3 J9 D0 ~$ @7 w! [   [ ifelse (wealth <= max-wealth / 3)( C. ?+ X1 n  o
        [ set color red ]. C1 O: R6 g8 t
        [ ifelse (wealth <= (max-wealth * 2 / 3))3 s3 {+ F, {* J7 x$ S
            [ set color yellow ]% A8 P' @7 b; H) E) B
            [ set color green ] ] ]- I' M0 d1 Z, D0 V) X* f. n* J# d. ?* ?* P
ask turtles [ifelse show-wealth?
2 L& c$ c# n$ Q+ q0 T0 ^9 s    [ set label wealth ]5 D# O# f1 V0 L5 o: X, r2 r- D
    [ set label "" ]]* \6 v- t( \. Q- `; v4 V! s0 }
end* e+ W! S4 h# W9 B8 C6 u3 H
/ R$ l5 J# R, U5 Q
to go
9 g$ _. d- s- f8 I4 W6 m' ?+ _, J  ask turtles$ N3 Y  M  {+ M6 ^
    [ turn-towards-grain ]  
+ Z% |1 t# M5 O' H! N' u  Z  harvest2 }  @; [/ q' @
  ask turtles+ {) q2 d; C+ _- x7 B
    [ move-eat-age-die ]: ^& Q6 e% _$ k* I% l
  recolor-turtles
- _1 a& r# }/ `) Y, D! e  if ticks mod grain-growth-interval = 0& Z, Z8 H( }# `. `, H4 _/ T) H7 S
    [ ask patches [ grow-grain ] ]: c% V, R" B" R  ?5 ^% z7 Q
   : J* ~+ h) B/ D  g- L
  if ticks mod 11 = 0
, |5 d8 l0 q( t7 z  [ask turtles
  z) o& J0 R  E: p  [ redistribution ]]
5 m  ?3 e" L/ M  if ticks mod 5 = 0+ y1 q! G, F& Q  o; w
   [ask turtles  y' Q9 j, ?+ i  m7 w7 `2 x5 j2 k
  [ visions ]]& u* ^9 T) l2 W& O; X& j; [4 r
  tick
8 d3 H5 i  E3 g$ P* _1 B  update-plots
" g; d: i6 b2 v+ tend5 w3 U& Y( T4 ^1 ?$ @: `# V
to visions: n+ \3 R9 e0 q( u5 M1 O! K
set vision vision + 1
# O; S4 L  m/ d0 R* u5 aend/ X9 D$ c1 _& O" n

7 C2 u3 j9 V8 d( d+ D$ O% t- o$ M# {: z: A1 P
7 k3 q, z2 N$ b3 S& a
to turn-towards-grain  - Z  ?( Q8 B/ G% z3 q9 ]' o
  set heading 0% M- S) l7 X% ~* t: n
  let best-direction 08 ~7 a0 G- e4 u% m
  let best-amount grain-ahead
2 u7 c& m; O1 E3 A& \  set heading 905 `. x# G0 q2 ]- N2 M' h
  if (grain-ahead > best-amount)
# w8 C% n9 _. p/ K    [ set best-direction 90  M! }9 r6 m* r4 C
      set best-amount grain-ahead ]
& J) i- b% D7 t9 x  set heading 180$ q( I% i$ }1 ?  u
  if (grain-ahead > best-amount)' H6 ^! z" v7 b0 _/ f* ^5 q/ g8 s
    [ set best-direction 180* F- X- z8 X, ^- B, _8 X
      set best-amount grain-ahead ]; ~5 }6 ~' Y$ e3 r5 m# Q, p
  set heading 2706 k9 k- w0 F: y, `# f( N8 @
  if (grain-ahead > best-amount)
, g, }$ W* ~* y) M4 }3 B/ l    [ set best-direction 270  \* p( J* H7 R, L
      set best-amount grain-ahead ]5 n( ]& n# Z  A1 e% a
  set heading best-direction
* }  S! L8 `1 o, W  i, oend
5 i$ _. o/ N$ \9 i, D: _
8 I- i+ F  z6 S0 ^8 X
" A1 J' G* |7 ~/ Zto-report grain-ahead  
9 A5 j' x0 Q9 W% E: O/ G  let total 0; L2 l8 H9 \7 G  a
  let how-far 1* T' g1 X5 H$ R! q
  repeat vision
: {( ]# U% k' C- z    [ set total total + [grain-here] of patch-ahead how-far' J! i. S8 M; N+ J$ u5 Q
      set how-far how-far + 1 ]; O1 \- X; }3 M8 Y
  report total
7 `% J+ T( z3 y$ q5 K4 dend
- E' S+ S4 c. X" W+ G* }! f) y9 p6 R2 B; d  A
to grow-grain 3 l6 O& S! C& ]2 e6 B0 J
  if (grain-here < max-grain-here)% ?, z2 z( o, H" i; [  s
    [ set grain-here grain-here + num-grain-grown
$ U5 \: o& X# O+ @1 k      if (grain-here > max-grain-here)
; y8 {8 V+ _, l4 ]        [ set grain-here max-grain-here ]& z# h8 s4 i3 K- a. V) V
      recolor-patch ]; S! I9 m: d/ y0 b6 }
end
5 B/ U; G' C$ u6 l( r% Fto harvest% G8 F2 \4 r( c1 q# `2 K: i4 H
  ask turtles
9 p% m7 W5 `  G( [9 ^) m! _& a    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
+ I' r' j  h/ Q7 @+ L  ask turtles
4 W$ x8 }! Q0 C    [ set grain-here 0
  c# x+ e+ x# L8 s) h7 e- ^. y- M! _      recolor-patch ]/ I/ v3 ^' p9 Q
  
5 o# e; }0 |) \  q6 C: U0 b8 oend
* S0 S& Q' y; ^7 X
$ Y) ~- |$ o. m  _- ^# `to move-eat-age-die  , y! @4 p# r  k
  fd 1  n0 v& `3 s+ H) O* {
  set wealth (wealth - metabolism)
) o( w/ }- P1 {5 t4 J! _    set age (age + 1)1 x% }  ?+ e, N6 e: g0 s, G- X* w
  if (age >= life-expectancy)
( T7 G6 }. E! {! |! `: T# H    [ set-initial-turtle-vars-age ]
: N, C9 i' H- s% c# H  if (wealth < 0)2 u" L9 d) }+ l- _5 w
    [ set-initial-turtle-vars-wealth ]
4 h+ I7 ~  d; x) [9 E5 V3 d   
; A4 G6 N6 w( aend
1 H- f! ?5 n0 V0 u6 J/ V, _1 o; ?7 H% j7 C2 F) p
# O7 H# e6 h# t# k- |1 x1 [: s
to setup-plots$ I5 L  z2 m% u! p7 D" S
  set-current-plot "Class Plot"
* Z$ c" \; S" y/ g7 b" O5 P2 B  set-plot-y-range 0 num-people
) L) [$ o. ~) d- e- H% _7 L  set-current-plot "Class Histogram"
$ u; S! I& \  i4 V% m/ B  set-plot-y-range 0 num-people
* z7 @! C+ X( v% ]4 a2 z" B/ qend
7 e% k, T7 S  N
9 N- l  [9 R" a% j: Y1 [to update-plots
/ o2 L9 _5 x, c1 T  update-class-plot
. k( s+ G& M5 k% z' Z  update-class-histogram
# E8 |- s* k$ K% C1 e. B: d  update-lorenz-and-gini-plots" B8 X! a( a" c! j+ ^) R. b( J
end( O$ Z  y! H4 v

6 x. Y. t0 v0 I+ K6 ~: e& A' b; x1 mto update-class-plot& D, F( P% l, M! W" c& G" i  R
  set-current-plot "Class Plot"
3 R# N# S, }* _5 e  set-current-plot-pen "low"
3 t: @+ [) f4 O& U/ x  plot count turtles with [color = red]# }( Q+ b1 j8 \) }8 v0 Z+ {
  set-current-plot-pen "mid"- T$ ?% A7 S1 r( S9 C- ~. m1 n
  plot count turtles with [color = yellow]
3 {3 n+ y. r, \  set-current-plot-pen "up"
9 t1 Y  H+ E. }# r! d0 `/ Q  plot count turtles with [color = green]) {- ^7 F, C8 W
end
! L2 g7 M, F6 a3 M7 r# q0 `- f  R- m" B& [4 n
to update-class-histogram& q2 d* {% m+ [: R: i+ }/ m, p
  set-current-plot "Class Histogram"* B( Q6 i6 p8 C+ r
  plot-pen-reset
8 P4 x* b, e: G6 P% Q0 ~# b  set-plot-pen-color red
' J- y. X$ w: T8 T  plot count turtles with [color = red]- f. p0 }1 J5 _' z1 v4 H2 k/ [
  set-plot-pen-color yellow
/ ]% }" K" y5 U. i9 \  plot count turtles with [color = yellow]- n! Y8 e7 ?3 Q9 B# ?9 w
  set-plot-pen-color green
) M9 C* J/ S7 a/ U  plot count turtles with [color = green]& R. m0 n, W3 ?, R
end
2 \# `5 J9 v5 k. l- ^9 H5 qto update-lorenz-and-gini-plots
8 ?" c/ n, a7 V  set-current-plot "Lorenz Curve"
! c. o3 M3 `/ P9 n  K0 U7 L  clear-plot4 X9 Y. a$ v0 ?  K$ P$ w

* |* k# E3 t- P% s9 a3 f  set-current-plot-pen "equal"
: J. U7 v5 z. r) q  plot 0
. \1 ~; V! I4 W2 w  plot 100
$ T! |. m( S! B$ t2 z, U! T$ d8 f$ r0 D" K  _& [3 }. k
  set-current-plot-pen "lorenz"
! a; {/ l! z$ F& r; T5 Y& Q  set-plot-pen-interval 100 / num-people9 s9 @! r; T- Y8 \) v, s
  plot 01 R7 x+ d+ F% e2 G- o- z+ n
4 C5 n$ p6 e8 f* _9 y5 F
  let sorted-wealths sort [wealth] of turtles8 q1 v# h. `4 L& ^
  let total-wealth sum sorted-wealths5 {9 n% F5 z, A
  let wealth-sum-so-far 0$ B! ^$ Y. f4 x% H2 \
  let index 0
& S, ]/ Q- N  m) A. R( P( ?  let gini-index-reserve 0
( b" o' T# B" a/ A
3 o, [  c; q# K4 l  repeat num-people [
4 X* }0 J9 o$ L# V. a    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
5 }& H$ q% K, w% j! E& H4 m# W    plot (wealth-sum-so-far / total-wealth) * 100
9 F: f% R( V5 D& v    set index (index + 1)
# H+ J! h# k* n/ D* `" H    set gini-index-reserve6 p: O' |; q: Y0 e
      gini-index-reserve +
# y( {3 x' q4 G% [8 c      (index / num-people) -. `* O. C9 ]+ }5 K3 F
      (wealth-sum-so-far / total-wealth)  |( s+ K/ [- H; c& M% W! C
  ]
" v, _# {% ~8 C( A, m* b8 W! w( p- Q) Q  M
  set-current-plot "Gini-Index v. Time"
, h/ z3 [/ F8 K# f5 [* g8 {  plot (gini-index-reserve / num-people) / area-of-equality-triangle. S5 I- K& {' _; P+ R
end
' e, i1 U# C( `- j$ Kto-report area-of-equality-triangle
2 b5 o+ ~7 t6 B( p7 O  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
" U& S2 W" S1 a$ d# C; `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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