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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0 `9 \  y2 `/ V) A1 U0 _. H
globals
. S$ \% p) k# t' H$ b[' x1 X! _( W4 `
  max-grain    0 U# n% n. o5 C! f6 V

. e* ^& y7 H! o) |4 n: Y9 q]# C9 Y4 ?* y2 K2 c

" o8 @8 h- n+ R- ~( M* s; F2 b. Mpatches-own. r* y0 E( T& a
[% c+ W6 r1 h7 i; ?+ q4 O7 @
  grain-here      
7 O" c; J2 M6 h+ `* `  max-grain-here  
4 @) C4 h1 [9 z9 G4 d], z8 E& ~9 ?1 W7 e, p

1 N( ^& `! v# p; R3 u3 mturtles-own
; ^' Q1 Y% @8 U8 i[
2 B' M% w/ f6 w0 l9 R- m' @  age              + n8 e. b. v! G4 d
  wealth         ( O6 M  {. ^2 @; U- M7 e6 ]/ ]% t! e
  life-expectancy  
4 T& w1 p# M* ]1 Y  {2 D9 L  metabolism       - W$ I4 ?- G* Z
  vision. o* v! @( x7 g9 _1 d
  inherited         ' K/ C2 X. ?7 t5 ~" R5 B
]+ y- D- G9 f" l/ L" l2 F. F5 Z
. ^( M- g( m. k, [" X$ x
5 j! I4 V! C6 X5 Z3 B4 H
to setup( ^* C* Q$ ^* n' G
  ca. D5 a, _7 F  ?
  set max-grain 50
& Z+ m) q, n3 c; V% |' C2 H) @- D  setup-patches7 V. {8 g6 Q1 z2 C9 M% J& \7 O
  setup-turtles
' ]4 @* a, ~' ?; Z  x. |  setup-plots7 v6 V0 g- i5 o/ B
  update-plots2 g8 c7 p4 C: T
end
7 \8 R. S9 \4 Hto setup-patches
3 s/ g: l6 q" [/ f4 Q/ M  ask patches
! N. }" p, H/ @    [ set max-grain-here 0
$ J. ^+ D. g" W      if (random-float 100.0) <= percent-best-land
, E1 L6 b( Q! u/ L5 B        [ set max-grain-here max-grain
9 e8 y  y/ \5 O          set grain-here max-grain-here ] ]
! G% `" F& s- p: B  repeat 5* E- ^3 M1 u4 v& Q, A+ @: E$ S
    [ ask patches with [max-grain-here != 0]$ P! J; q8 M2 T
        [ set grain-here max-grain-here ]1 y7 o2 v& N1 D8 d% v1 R0 i$ O
      diffuse grain-here 0.5 ]5 T1 m  Q; X* R0 G3 H* u
  repeat 107 {2 a) B, H+ X1 @# p
    [ diffuse grain-here 0.5]          + d. {# ]8 G. a
  ask patches# W" B* k/ A. E" `; ~8 B
    [ set grain-here floor grain-here    / H( v9 r) N* n+ n8 X9 e# w1 d: h
      set max-grain-here grain-here      
& I0 `# x+ G5 X& ?/ T. k% ^6 p      recolor-patch ]
. i$ u( @; l; J9 K+ D& Dend
2 I* Y1 X! [5 U, K) f- Zto recolor-patch  7 O  z- }3 s$ |  J! F( z! g
  set pcolor scale-color sky grain-here 0 max-grain
& ]2 V9 ]1 n/ e. X4 h2 Eend
: G# X1 J9 i' Z0 ^- x" d! C- g9 p5 y  }to setup-turtles
' e4 p# `, t/ q8 A8 k" N( G  set-default-shape turtles "person"+ A% E* I* [/ h% p1 T4 x" ?3 m8 |
  crt num-people
" E1 O9 g: {# p5 X0 a# z3 t    [ move-to one-of patches  ! \* n3 x% M/ d, `* h# ~
      set size 1.5  6 n$ E: i, v* W* a/ _' f: {
      set-initial-turtle-vars-age
8 P" h' K6 B9 T5 X; l2 ?      set-initial-turtle-vars-wealth
2 _1 v& _2 m% E1 Y$ B* B      set age random life-expectancy ]
/ B' K+ C5 D" R, }. [( s  recolor-turtles
, ?: X2 F* j& _1 l  }/ T/ Cend* C  L! r# h( R

) ?1 G, Z; y7 i4 g8 o" m8 b0 zto set-initial-turtle-vars-age
" y% Q& ~& r( I6 O) A4 i6 L8 [ let max-wealth max [wealth] of turtles
- v" m8 {' l/ \( D   
; J8 f' x! h6 h8 C! p) v- U     ifelse (wealth <= max-wealth / 3)( T3 t# P( n9 R# {
        [ set color red
: a2 J8 {4 [  k1 o8 z" S          set age 0
  C7 V0 s# K1 _. U+ g  V* _          face one-of neighbors4 2 E1 D* R  B1 R1 g. [/ x
          set life-expectancy life-expectancy-min +
" t& V  Z  o  a- N. Y/ c# L0 s                        random life-expectancy-max / t3 Z  }$ N7 B
          set metabolism random 1 + metabolism-low
; c  O& g1 H. j          set wealth metabolism + random 30# r4 u% g8 B' _/ o
          set vision 1 + random max-vision+ f3 x2 X! S/ e( b! ?9 S( Z( ?3 I/ Y
             set wealth  wealth +  Wealth-inherited-low ]
  O- I6 l# N; ^, M7 A0 J        [ ifelse (wealth <= (max-wealth * 2 / 3))2 D& s( d7 k! J
            [ set color yellow 1 I+ J4 q9 B. z7 m) ^/ H' o( p- q3 w
              set age 0
- s* j- ~' g4 C( o" R8 G; G              face one-of neighbors4 4 o$ b8 T& O7 F2 f# I" G
              set life-expectancy life-expectancy-min +9 n4 K5 \  ?" x& f, D# j: m- G' i
                        random life-expectancy-max + 1
/ S7 p  ^- t* V$ @$ h, o              set metabolism  1 + random metabolism-mid
3 g1 g7 Y5 v4 l; T; b+ v5 Y              set wealth metabolism + random 30% G: T3 W, k4 p
              set vision 3 + random max-vision
; m# F, c* k5 L9 n                set wealth  wealth + Wealth-inherited-mid]. a& R9 j3 A; ^. T) B# _
            [ set color green
- }2 {, K; j" ]              set age 04 Q$ r1 F& j( z4 Q
              face one-of neighbors4 3 G- }: u7 S4 Y
              set life-expectancy life-expectancy-min +4 Z' ], E4 ^! R% i
                        random life-expectancy-max  + 2& U( d2 M: }3 S9 m, a
              set metabolism 2 + random metabolism-up' \$ R. X- D" C* K3 X; B7 L' S
              set wealth metabolism + random 30) ^- l2 ?+ t( s
              set vision 3 + random max-vision: M8 }8 ^; O# q) e( k: t  I
              set wealth  wealth + Wealth-inherited-up ] ]
% q) R4 t5 M0 m( a& n9 n
3 N$ H7 e$ m% N6 o' {( s# [end& V9 ?4 z1 j) B* f/ @6 m! l
to set-initial-turtle-vars-wealth" d! s: t3 ]7 j/ @9 a  r% k
let max-wealth max [wealth] of turtles2 N' t- b) l( b0 O
          set age 0; J* Z! L2 `% {( W: P
          face one-of neighbors4 , e1 c: X& G: n6 g
          set life-expectancy life-expectancy-min +
6 `; i" A& R5 @4 H- L: V                        random life-expectancy-max " ~5 U$ |3 J1 i% K' N* Q  j
          set metabolism 1 + random metabolism-up
" a1 d! f6 y" Q3 ~  h4 b* D8 A1 W          set wealth metabolism + random 30
" D6 @' o7 o* c3 n+ c8 Y$ z8 z7 T, q0 M          set vision 1 + random max-vision ( Z& r4 g- D4 D9 m* j6 e
end& M( p( c$ R3 E
to redistribution
7 Z6 }4 N9 n0 n) d% `5 \let max-wealth max [wealth] of turtles; y! \* n& |& i2 l
let min-wealth min [wealth] of turtles
1 g8 e3 ~- |& ~1 ?if (wealth <= max-wealth / 3)' l$ W: g1 n4 y* U
[set wealth  wealth + Low-income-protection ]( Q7 B1 @2 G& X* l
end
8 d3 \, }8 h5 c( [         
' p; n6 v: n1 _, j8 D- ato recolor-turtles
  ~+ i) S% q; x7 Y! B$ P6 a  let max-wealth max [wealth] of turtles; h! {$ O1 Z/ D/ e/ I4 n
  ask turtles
: z& C7 \# G8 X0 C  l   [ ifelse (wealth <= max-wealth / 3)2 \3 o* h; R* n& O! e9 p- Y8 I
        [ set color red ]
$ h5 P+ Q7 [% _' X6 v5 _        [ ifelse (wealth <= (max-wealth * 2 / 3))
  ], V9 v* _4 R0 H! D' y* g            [ set color yellow ]
1 w* U( i. c! i- c            [ set color green ] ] ]
# `9 R9 |0 F& I4 s/ b- z- \' u ask turtles [ifelse show-wealth?
; k' ~) p2 t1 E8 N* h# a- ~    [ set label wealth ]
7 R2 @( l, ]) ^( h1 b" w  [* |    [ set label "" ]]
4 I& C, P% x" I8 J; T, zend
' G% Y( v9 K% u* M  g  j
3 V6 w3 r& u; z6 p7 k, X/ ?! z* vto go
3 k& e6 [1 k* s  ask turtles9 N* N2 ?/ J4 i8 J/ \) L6 c* b
    [ turn-towards-grain ]  
2 F  N/ h" r' D# E: r( x" _  harvest+ H! b6 F& ], p4 v9 w0 [  I5 h6 X
  ask turtles
4 X9 I% M% P8 k0 H: E    [ move-eat-age-die ]" n! H: ]2 z! h- z
  recolor-turtles
9 h3 Z" @9 ?+ Q. b+ ~  if ticks mod grain-growth-interval = 02 p0 A* G6 j$ a! Z/ J! Z. I
    [ ask patches [ grow-grain ] ]4 w" E. ?& D( n* M( a5 m
   : t: w, G( q/ u( T; d; d
  if ticks mod 11 = 02 P+ _. P* w8 Q  w3 s
  [ask turtles
  ?& X3 G- K* a8 w  [ redistribution ]]4 c+ H: ~( j/ X2 c! q( L
  if ticks mod 5 = 0
- Z5 T9 o5 _: v7 E% V   [ask turtles
+ i' ~( ^: c! i  [ visions ]]/ N! B- L$ u8 S2 q
  tick" v; b2 h6 M' B! |
  update-plots& r$ \' j; D9 _7 A- [& _/ E  ^
end
* e7 E. t+ T4 m: }7 mto visions/ K: y. X9 y" f& c2 ?( l
set vision vision + 1 ) x0 C$ [8 X9 i
end' G( }- S# T' J+ \8 k/ x6 J) x

/ ?- j8 k& _. K/ N
0 D0 u1 G, y5 Y  }3 b% P+ M: w/ t' t4 o; f4 Y' B- l, o
to turn-towards-grain  
' X6 I& x. Z$ X) e8 R& R" Q  set heading 0
- i: @, |; a& M# }  p' |/ y  let best-direction 06 v. i1 N9 y4 f. ^. o
  let best-amount grain-ahead
# [9 @; h) X( A4 e  set heading 90
  l2 a6 J/ M* L  if (grain-ahead > best-amount)
) n$ p: O. E8 m3 `    [ set best-direction 901 [7 L0 q8 ?7 _
      set best-amount grain-ahead ]
" m7 d! {: T6 E2 F" r  set heading 180
, d, K, G5 J- {% H. m1 r3 m3 Y  c  if (grain-ahead > best-amount)
9 `) f0 y; C3 x    [ set best-direction 1805 o6 j5 G/ O+ _, u7 C( q1 A' f
      set best-amount grain-ahead ]
. ]: @. A' a, i/ m  set heading 2703 a0 L$ |- V* g6 ]9 n4 ?
  if (grain-ahead > best-amount)9 a+ F' K" o; f5 [, e
    [ set best-direction 2705 Z: w1 U% B0 ~9 G
      set best-amount grain-ahead ]5 v) ^' D  D( p0 i5 T( h
  set heading best-direction0 Z8 J6 T8 \- L% x
end; l4 y3 _4 I4 v
/ b8 s& V5 Q1 E( h

5 S! F- N; f( N# S- m  nto-report grain-ahead  5 j0 P; J/ ]( @! o; S" }
  let total 0' \1 ~6 D* U% _2 J& F% V
  let how-far 1
2 z& }: \8 C0 Z: B  repeat vision9 L7 D5 |5 o' h
    [ set total total + [grain-here] of patch-ahead how-far
& u* r: _  h/ f; d5 a$ V. `      set how-far how-far + 1 ]
3 ]/ A7 ?# H& X* q1 Y% u  report total( Z1 W5 K2 |7 R. H* {
end
+ ^8 C2 L4 m, s* q. w* A' V# Q- G
! X; f& a: ]/ c- w* O1 }3 lto grow-grain
* q: e: [+ I& |& D) A  if (grain-here < max-grain-here)
2 |& {$ v( V$ w, V( ]: d8 i. P    [ set grain-here grain-here + num-grain-grown
. s, F6 h& I5 e2 L  a      if (grain-here > max-grain-here)
) Z8 k( N+ B" R  g# j6 t+ F        [ set grain-here max-grain-here ]6 h' C: {9 Y6 X8 y- _6 h( r3 p
      recolor-patch ]# a. ?; E& j1 l6 T% n
end
4 W, b, u& i* X/ a* `, D- pto harvest
5 U6 R0 r+ O' H* Z/ k/ `  ask turtles
' z4 e& T; r* J* u$ O1 t4 F3 o& c  |$ d    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]) G4 j  f$ ]% `( i  Y
  ask turtles
( q2 O) U# J! l: H  I' P' l    [ set grain-here 0
* d; D0 }' i; o# |' I( r      recolor-patch ]% q* |+ K& k8 ?2 m% m
  & K1 W1 A8 _. G1 M; y
end
0 n+ R# K* I+ ]5 D5 [
* C: w. A" b6 Y! Y& Z6 K- T2 Gto move-eat-age-die  : x' C' K0 G- q( N4 k; ~5 L
  fd 10 c# k% F9 _% m. u1 k/ F% V
  set wealth (wealth - metabolism)
8 s) E- |/ {4 Z8 b& \. C" [1 E    set age (age + 1)
; f6 U2 B- M" \) h2 |" @" J  if (age >= life-expectancy)! t, Q0 s  r! y# m2 `1 ]9 c7 b* L3 ]
    [ set-initial-turtle-vars-age ]
3 d: k3 i* K& o0 Y  if (wealth < 0)4 s$ t4 U  |  R8 L$ l) B/ U
    [ set-initial-turtle-vars-wealth ]
6 z8 T7 N0 n! d  y2 J5 B# ~    % N+ a4 _3 E! ^( C) t' D1 L; l2 K1 v
end; ~( F* f6 O% T9 a1 V+ A
: K/ r, A$ g' T) I7 L# t0 L8 [* M# r$ q3 A
7 \6 ], `: x% z! c
to setup-plots
2 G& B, _0 S0 w* O4 b5 W  set-current-plot "Class Plot"7 [0 j' t. Q" W; S* S% A2 Z# }
  set-plot-y-range 0 num-people, I: D' P& Z' O+ m5 m* M
  set-current-plot "Class Histogram"
1 w9 d. a$ p/ a; z- u  set-plot-y-range 0 num-people
+ A& b9 K/ N% q, A# z1 @end2 y( _3 i8 O: t! _& U$ z$ p1 p$ i
3 A. t) z( e. ^6 d5 I
to update-plots- u  U4 [7 L+ O! X# \
  update-class-plot$ t0 u, ]1 O: [
  update-class-histogram" A! S  A& S5 @( l3 }  e/ u$ ]
  update-lorenz-and-gini-plots6 L+ O0 h# n3 V! i1 {
end
2 i( j( q) {' d; i3 G4 y0 E$ K; m4 s* Y7 A
to update-class-plot
$ m- p+ Q2 k3 t2 O( l5 O" ?: [  set-current-plot "Class Plot"
! y9 s" D7 J. G0 G  set-current-plot-pen "low"( `+ S* {3 m2 H" n
  plot count turtles with [color = red]& _! V% g9 y( t- Q" i! Y! f7 {. t
  set-current-plot-pen "mid"
0 h# A# r* @4 h; G* z3 |; x7 K  plot count turtles with [color = yellow]
( ^0 F+ v/ ^" C! L  set-current-plot-pen "up"2 C$ _- e7 @5 Y7 v5 R  Q
  plot count turtles with [color = green]% X1 ^2 y9 U* J
end
  T+ |1 ^" h+ k2 X' g, g1 R& o' n- W# S! E9 |3 q
to update-class-histogram0 e/ L  p  u0 W7 {
  set-current-plot "Class Histogram"
8 A% Q( b2 `, f) V" r9 g- ^  plot-pen-reset
& b6 e4 w5 u/ ]* x  set-plot-pen-color red
7 q+ k$ F; W* L( N/ J  plot count turtles with [color = red]! Y! }4 e7 c* m2 k  B
  set-plot-pen-color yellow6 |6 A6 Y. d; J7 X! I' ~9 n
  plot count turtles with [color = yellow]
+ q' p' g# |) `% C! `# P  set-plot-pen-color green
: A6 [8 B, a+ A+ f2 I  plot count turtles with [color = green]' t5 s+ i1 Y) J
end
: H8 {! i' I/ H/ z# M: tto update-lorenz-and-gini-plots
( ~, d  B( N  V" A  set-current-plot "Lorenz Curve"  @! P/ c2 X$ I
  clear-plot1 @- H( g- K$ o& P

2 n& W6 G4 r4 }" W+ |8 K8 n  set-current-plot-pen "equal"' W' I* M; T; n3 G- I' q7 M
  plot 0
2 `$ t/ G8 T) G( t% {( a  plot 100& j1 v( h8 C0 v: g

4 S/ q# w1 K8 z7 _  set-current-plot-pen "lorenz"4 _1 W: k. o- P  C+ Q, C4 \
  set-plot-pen-interval 100 / num-people
) E/ S  N: T/ r; C* T  d  plot 0* p6 |9 y7 ~' A' h: F# @, h. M

' n) _2 W5 \8 L( C( [  let sorted-wealths sort [wealth] of turtles: j1 Q  b$ u2 |  A5 b
  let total-wealth sum sorted-wealths
1 }, w7 B2 a' [4 s. \$ P  let wealth-sum-so-far 0
  R9 o8 V& Z. z  R2 V/ k. z  let index 0: I2 l+ i; ]+ t# o* d
  let gini-index-reserve 0
& A) b: P9 Z$ S! ~4 U( J: E9 `/ v- Z  g, p9 d2 Y
  repeat num-people [  }" N$ A- e# X$ L% b7 ?3 s
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)5 X7 g' z4 _; _7 z0 N* E$ a  _
    plot (wealth-sum-so-far / total-wealth) * 100
1 D- G4 w+ F  ?( \$ Q5 T    set index (index + 1)# n- e5 `  X" o3 d; ?- A4 x
    set gini-index-reserve
+ H6 ?8 W7 c0 w1 E" ]      gini-index-reserve +
+ X, `9 H# k  t( I, l# X: _( x      (index / num-people) -
  j' K5 B. U3 b. N      (wealth-sum-so-far / total-wealth)
% }4 s/ `% ~$ b! K0 Q% ?9 \  ]9 G1 E+ b, r! U& Z: C) L6 w2 l

/ r! z* ?( o6 K& M, Z  set-current-plot "Gini-Index v. Time"
- L* p2 k* z0 R% V/ h( ~; K  a  plot (gini-index-reserve / num-people) / area-of-equality-triangle
  t3 ^: O4 P. s/ oend5 V( O" D/ J3 ]
to-report area-of-equality-triangle
8 i4 K2 U! ]9 X4 e4 g2 g- ~. w0 M  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
  z2 L4 Z  I: O- A  Nend
 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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