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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# `* ~% l2 z4 i5 V. e: S
globals4 \5 y' }/ Z+ J4 h& K7 h; L
[
1 N8 q2 v1 E! E9 Y  max-grain   
/ O+ Z+ h" m5 V: B' X. J
8 R" m5 \( y( D  C, E: V" m- v+ T" f]/ D3 d3 n6 O+ q+ C$ f7 ?' U1 f( E5 [

( e" w+ }1 h0 X! c% T: [8 Vpatches-own! T+ i- a( ]- `
[
0 C1 L1 W: u4 z2 G2 M  grain-here      * {* B) T: q% t' b
  max-grain-here  
; P- D4 G- G, @( G7 S, a) P  q]
6 d/ s9 U! f7 S
7 l" Z- ]: C+ q7 Sturtles-own" U2 O; @% k+ B/ v1 ~; X' @* ~
[
+ E4 a) @) v$ S* [1 q; T: E  age              " X1 ]: S8 L/ Z: o. n
  wealth         3 J! {3 e) |; O7 g8 |: K
  life-expectancy  
2 }3 _2 j6 y4 k+ C$ e  metabolism      
9 H% K. H2 @" ]. F. |# P! C& y  vision4 F5 ?" K1 Z2 V4 ]+ a1 m3 [+ X, n
  inherited         ) s0 V: }. e- B+ a* F7 k
]
% I, j+ f& Y+ M' c) g/ w& P  t
! l* \  `/ \/ B( W8 a: d+ M
to setup
$ ]; z) O. _' N6 Z% u# I" F  ca: Q& L- G# y3 I4 k7 V
  set max-grain 50
! v% Z3 ]) j$ N8 l  setup-patches+ r3 z+ W8 G" g5 f2 |6 E; ~
  setup-turtles$ ^. K! s7 X0 \) b5 L( N
  setup-plots
1 g. V1 t2 y6 ^8 t- S1 E2 `2 |  update-plots
' S$ T& \! l. C2 A' Aend
) R+ M2 ], l  m7 M. nto setup-patches
' n1 p4 D" i) Q2 [8 s  ask patches
) I2 T' b5 T/ x  Q5 y* ]& u3 ~    [ set max-grain-here 06 E) H- w( m$ R% o* i" b
      if (random-float 100.0) <= percent-best-land( a) ^) j/ n6 f( T$ y3 j
        [ set max-grain-here max-grain
- D0 ~9 u* y* y' p4 l          set grain-here max-grain-here ] ]
6 x( S+ Y5 [2 l+ a; Z  repeat 5' a, O! ?" u4 E$ g. F/ i
    [ ask patches with [max-grain-here != 0]; Y* y; s& O5 C4 e& n
        [ set grain-here max-grain-here ]
' w, _/ G+ i3 |+ G, j) _/ d* g      diffuse grain-here 0.5 ]
1 P0 ]$ u: O8 A( G6 p& e  repeat 104 s6 r( a: W/ M- B: s
    [ diffuse grain-here 0.5]          $ o, {1 a5 @1 l5 D/ E7 H+ J
  ask patches3 P. Z+ f( E( [/ E
    [ set grain-here floor grain-here      H; @/ U4 b7 o  y7 a1 m& E! E
      set max-grain-here grain-here      2 ^2 F- `' c- t5 v* w
      recolor-patch ]  K2 f6 Z& Y" `* n
end+ W! Q9 C) [9 A
to recolor-patch  
% v* ^0 K* _* w8 W+ e. K% o2 f. c  set pcolor scale-color sky grain-here 0 max-grain
' H2 q) [7 ~$ J5 P2 u  ]end
" {3 ~) l0 m% i8 f$ t* a# oto setup-turtles: W. j! o: s% v1 T
  set-default-shape turtles "person"
9 @: w7 d+ }$ s% u7 _! b  crt num-people9 h5 k. e8 c0 e
    [ move-to one-of patches  * Z+ A5 E% B' r6 R8 V! u
      set size 1.5  
- Z1 D" i5 E$ q      set-initial-turtle-vars-age
0 [$ C3 \  G+ R7 i      set-initial-turtle-vars-wealth
  X$ d9 W: }3 A1 v9 a      set age random life-expectancy ]
; B9 G/ W$ p' i9 }  recolor-turtles' N$ L, [6 s* M/ x
end
4 {5 k9 B% Q" f; U: L4 u% l& J* u
8 |# i4 z# d% y! }4 d% yto set-initial-turtle-vars-age
4 q/ v1 k; w  O$ O8 s! \) i let max-wealth max [wealth] of turtles
7 G: q, N* l& [- c8 l; _5 t- `3 @    " \/ ~+ f$ y0 M8 Q8 T. d; b
     ifelse (wealth <= max-wealth / 3)2 r$ q1 J) z5 X  F- b. h8 d  C' Y
        [ set color red
0 s3 F9 g2 v9 K$ C8 y. E2 }7 t          set age 0
! m5 s9 ~4 c8 ^4 z+ }          face one-of neighbors4
( Q6 o7 B9 j3 x5 e1 Y! g5 v) a# N          set life-expectancy life-expectancy-min +
) k8 J- I4 }: p: N& d5 G                        random life-expectancy-max   K$ K3 H; Z" e
          set metabolism random 1 + metabolism-low! m0 [, K7 _  A: A& e1 h
          set wealth metabolism + random 308 E; u3 }2 T$ K9 T% |0 o2 a
          set vision 1 + random max-vision
$ f# Z% W) w5 l: ~. Y  r             set wealth  wealth +  Wealth-inherited-low ]) Z  x: A; r. a. ]; P8 P; x0 {5 i
        [ ifelse (wealth <= (max-wealth * 2 / 3))5 ]# n6 u" _  d6 d% b
            [ set color yellow 6 L- h: r2 _- J6 w: X9 ?! s; k
              set age 0
% L, z% X. U, a5 ~& O* _. ?) R. g              face one-of neighbors4 + O6 |5 r8 ]" i8 Q# N
              set life-expectancy life-expectancy-min +
$ i3 G, l% O) M% Q                        random life-expectancy-max + 10 X% _7 G# q/ X: q* k1 P
              set metabolism  1 + random metabolism-mid3 X! j& P1 m: e& x1 w) P7 _- |# Q
              set wealth metabolism + random 30- K( G% ]- ~2 _( f0 i
              set vision 3 + random max-vision
/ s5 F- a8 _/ c; w9 B" S0 w2 H                set wealth  wealth + Wealth-inherited-mid]* ]  g2 y& ^5 e/ b* H
            [ set color green
/ W3 [- H( a0 @' H9 s              set age 0
7 d' U- K9 r# J& C( `! k, |              face one-of neighbors4 # r: D* V" I7 M, E
              set life-expectancy life-expectancy-min +
+ N# a2 ?) B( w% [                        random life-expectancy-max  + 2
$ [6 c- m3 m2 a. t' A( j6 G7 B              set metabolism 2 + random metabolism-up
' `2 j/ g+ ~4 B- I: d              set wealth metabolism + random 30
* U* ~; U8 @, s) F# a              set vision 3 + random max-vision) Q( s9 }) A+ H( e
              set wealth  wealth + Wealth-inherited-up ] ]
2 Q5 C0 \+ t- H0 Y , I) x7 G$ g- u! d% M9 U
end
0 r5 }- {. W  n# r! ?3 `: N, z* uto set-initial-turtle-vars-wealth/ }0 R* n8 Y3 ~
let max-wealth max [wealth] of turtles
) v* \+ E# @4 @6 q          set age 0" I: r& l" Z5 F1 a  q1 Z
          face one-of neighbors4
9 ]% n! A8 Q: [0 H          set life-expectancy life-expectancy-min +
. F" N* v1 x. w                        random life-expectancy-max ; h* S0 U. x; ^& }- F$ c+ ]9 `
          set metabolism 1 + random metabolism-up4 p' ]9 U0 M7 t
          set wealth metabolism + random 30* j6 |: o  P4 [
          set vision 1 + random max-vision
% W7 p6 D" a0 Send
# A/ D5 w6 Q+ S0 [! _to redistribution% v1 k& p, n) S/ H- v5 ~& `
let max-wealth max [wealth] of turtles! z; ]0 K, Y6 e& b& i
let min-wealth min [wealth] of turtles6 x' h' E+ m: W. b" t! D. N: ?
if (wealth <= max-wealth / 3)
3 b7 V0 y: D% u7 T [set wealth  wealth + Low-income-protection ]0 B( E' Q$ N3 z3 D! J9 x, e2 l$ D  X
end
6 G, \0 t/ j! T) G( t         
0 ~6 ?6 f' |) C: V4 Nto recolor-turtles3 m: t' l9 L5 o! `6 R! [2 |  z3 [
  let max-wealth max [wealth] of turtles/ P3 d) K  [* B( n+ [) j
  ask turtles
' S: a  ~/ i" f. @# s% q5 y. l' g   [ ifelse (wealth <= max-wealth / 3)& y$ d2 O& d& o; c. l
        [ set color red ]
: f! a/ g* g; L; G) c        [ ifelse (wealth <= (max-wealth * 2 / 3))
$ h3 \/ f  s% z; D# x            [ set color yellow ]
& K# h9 Q/ H* l* x( A            [ set color green ] ] ]
* i  _, f# Y9 t8 L1 w2 u  x4 t ask turtles [ifelse show-wealth?2 O  p- N9 S! W" _+ E5 B
    [ set label wealth ]9 u) i1 _7 i  c1 [
    [ set label "" ]]( j/ t, i. `. Y- a& s$ f2 e/ o1 q8 `7 F
end9 @, r, z4 |6 P$ p/ A3 N$ D' i
' ^: ?# w- V% ]
to go3 x' a% U8 M& C" c. n
  ask turtles
- d' O4 l* x; |+ L4 B- }    [ turn-towards-grain ]  
1 Z/ b; R6 r. c  V3 N  harvest
9 |- i5 n/ j7 _  ask turtles1 ~; q  z8 O$ _3 L
    [ move-eat-age-die ]! n4 r2 W% r' o, M$ n
  recolor-turtles7 F, _% ]. R4 e' p( Q( K
  if ticks mod grain-growth-interval = 0
0 p4 ^1 J8 i' M7 g! S    [ ask patches [ grow-grain ] ]( Y& \. i, A$ B
   # \1 D# |0 ~" e7 K# [9 m3 c  C- G
  if ticks mod 11 = 0  b+ r' ?3 I+ m( [4 j$ ^
  [ask turtles) J7 I; ?0 `8 n. ]: {
  [ redistribution ]]
0 x" R" e' T% r  if ticks mod 5 = 0
# I% @0 h: I! t' o4 u/ m; l& `   [ask turtles# V" l) ^0 B( Q, w% y) b0 A  h) d- F
  [ visions ]]  L( o  r) K9 Q% \8 s% _  B
  tick
) v. M+ @/ Q6 C  ~) Q! \" H6 U7 ?: s  update-plots
. @) m* X$ l4 W& \$ qend! V* {4 A0 F4 h8 b" V3 z
to visions" P$ n2 G$ b- p3 P2 o. B. C
set vision vision + 1
$ w- G2 U8 H! _% [end  M0 ~/ N3 D) p! y  y* c% I
1 |$ m( H7 u% N8 ?9 c$ ~% {
: C$ i, A& J1 Z+ w

# `/ u: k1 k5 @$ K7 {: P6 L. U8 Ato turn-towards-grain  9 m1 `3 X  m! K: M0 S$ ?5 v
  set heading 0! X4 `7 W/ b& v2 Y% ]  x$ I
  let best-direction 0
0 X% g& M  s8 m: c! M0 l$ j  let best-amount grain-ahead
$ P: E, v5 R) R& Y0 z  set heading 90" N6 l" W) \: [9 {
  if (grain-ahead > best-amount)
0 d( E' Q% p! _( `    [ set best-direction 90
' |) U- H+ Z5 h! q5 L6 N8 ~      set best-amount grain-ahead ]
5 V; P; H2 h6 R  set heading 180/ k0 k. O" A; H4 h9 y# X
  if (grain-ahead > best-amount)8 J( v) x8 G  `. y
    [ set best-direction 180
, N6 H( G( T) g# x1 ?" m, W      set best-amount grain-ahead ]: x" ~: d2 q; O* n
  set heading 270/ g9 ]7 }! o* B
  if (grain-ahead > best-amount). F6 f: e0 i3 Y1 Z
    [ set best-direction 2706 b: V4 F! G5 Q
      set best-amount grain-ahead ]/ t8 ]0 {! Q5 o9 P
  set heading best-direction
; r9 v0 g8 ]* j9 x; z1 Q4 xend# f3 z2 E' v/ U) G9 `+ }5 }

/ D  @- E# d: G0 K2 P0 |' d
" W) [2 U! Y) A8 ~to-report grain-ahead  6 z. i% R- s' n5 W% M* P
  let total 0
$ \# I' s% K% @# `4 f" g( g4 B  let how-far 1
( k0 ]% F' D% H$ O7 e  repeat vision
' A7 Y8 G% X5 U' i. I    [ set total total + [grain-here] of patch-ahead how-far9 i! ?' Y* ?0 R/ n: q
      set how-far how-far + 1 ]' |$ |4 P  y  _; c; ~' ~  a, B
  report total
# @5 p" K" q$ ?& jend* N: L! k: i$ v* r5 g
$ B. }! |5 H+ e# `# H: n
to grow-grain
0 X4 h6 y9 {7 c* w  if (grain-here < max-grain-here)" f: I3 P0 B; i$ M0 B# Q. s
    [ set grain-here grain-here + num-grain-grown( V' P! @4 q+ u0 }% X
      if (grain-here > max-grain-here) 6 q; `$ ^* m' J7 c; f
        [ set grain-here max-grain-here ]
9 T& u  [7 f$ _      recolor-patch ]* `8 w7 F. O+ H, {& z. \( ^
end1 g# O6 {3 ]6 q. H( K. w1 W
to harvest' U9 C4 Y, c& O  L1 W; l
  ask turtles$ Y% h+ r8 W# p* {/ f( a  p0 h
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]( J1 w! n1 f( M
  ask turtles
8 `. P: w( B- ?, Y. I; k# B1 _    [ set grain-here 0
5 m1 H7 _) U. q! t9 X      recolor-patch ]/ ?1 U+ p, t, ^* r/ g9 J
  % E3 _( M& E7 V. V
end
- G8 h9 R, U+ \5 d7 X8 i
+ i: q: P3 ?% k' @0 Xto move-eat-age-die  
& S1 w* J* ^; ]+ l, n  fd 1+ J  |; v' z2 M8 Y# H0 L+ y  D' V
  set wealth (wealth - metabolism)! R' J/ S+ M8 m  R0 l
    set age (age + 1)4 U$ [+ _$ C& q: Y4 c  r
  if (age >= life-expectancy)1 A% D  O* ~  b
    [ set-initial-turtle-vars-age ]: U  [8 u& o8 K7 z) u8 _5 |
  if (wealth < 0)$ s* _# {# N) a" Y
    [ set-initial-turtle-vars-wealth ]
! a, u8 r* ^  h( q9 @; |" {+ w- W    8 Y0 C8 R0 ~# O1 r. h/ x( s' q  X! @
end
# H; T8 v3 D1 X# I% @/ K$ q, a- G3 Z# t& k* q9 A4 n* C; N* U

1 |+ w% i/ I+ L3 H% v& \6 y$ {to setup-plots
0 _# j2 `" v* e) V2 j  set-current-plot "Class Plot"4 z/ q. O- L4 z: }/ d  }8 A
  set-plot-y-range 0 num-people
( v' G, n$ W; a$ R. O6 x! j  set-current-plot "Class Histogram"
* D5 }+ ?8 L4 X  set-plot-y-range 0 num-people
) q: d" a6 g2 \$ t% U4 r+ o# Tend; ?8 G: g+ D( f% S: i/ \8 Y

- A- y7 Y7 V& L8 A) Gto update-plots& r5 H7 S9 N5 C9 P# ]& Z; A& Z
  update-class-plot, \' B/ F  O1 h
  update-class-histogram
$ _1 k5 q3 M3 [1 @' s+ I  update-lorenz-and-gini-plots% Q+ [/ d6 J/ e$ S7 R" P
end
7 Z% [: {* m/ y# y. e: _7 g7 y; Q
: e% w/ ]# O9 F9 E- p' ]5 o7 [8 |to update-class-plot) d: \6 i/ n! \( \5 V
  set-current-plot "Class Plot"5 v0 j2 [/ U  I$ u2 P0 y: p! K
  set-current-plot-pen "low"1 q! w, I. x$ a. Q! T
  plot count turtles with [color = red]
3 Q1 `+ |" o1 n- d  set-current-plot-pen "mid", n5 k5 y4 K: J. Y1 v
  plot count turtles with [color = yellow]6 Q7 Y6 A6 [! Z; C0 i/ w
  set-current-plot-pen "up"4 ^/ x' u  x% {$ Y( a1 `6 @
  plot count turtles with [color = green]
. g1 s8 U" H$ d: qend
" E' E% ^% n2 M1 \+ k0 K, n* Y/ c  C/ b1 A
to update-class-histogram
* {8 h* ~$ O2 G  set-current-plot "Class Histogram"1 _' N" M" F2 u: U; k6 d; l
  plot-pen-reset
, q1 P2 O- C% j! E  K& O  set-plot-pen-color red
; r7 r2 ^' F. M0 X% k$ G: d, b" W  plot count turtles with [color = red]
* K- B+ o4 |( {! G  set-plot-pen-color yellow% p5 b' q5 c. c! `1 z% q0 f
  plot count turtles with [color = yellow]
* ]% c" Y& P* t) A6 c9 g- c  set-plot-pen-color green$ `" R$ x, B% x$ f' G
  plot count turtles with [color = green]9 P7 ~3 e) g1 ~% j. M5 F$ f* |
end( m! H' q. j$ M, }5 @, w! I6 E8 C
to update-lorenz-and-gini-plots3 V3 |# q" W) H0 R/ D9 D* W
  set-current-plot "Lorenz Curve"
: T" h! C* T+ o+ t; ~  clear-plot
" e* d; a3 l, q& y2 y) S& j7 D% L' h& `7 G% i
  set-current-plot-pen "equal"
; ]6 H6 A; e+ k' Y3 ?# N# T  plot 0
! }4 Q9 k9 S4 h! t6 C/ Y9 h  plot 100; x# f% B, ], K' i# n
6 E  L8 w5 i$ z  d& n
  set-current-plot-pen "lorenz"0 X; u2 m( [* r5 {
  set-plot-pen-interval 100 / num-people
3 n" p3 Y# H1 S3 W  q  plot 0
9 Q$ C5 L/ \2 t9 g
# Y; W% T9 E- L, G  let sorted-wealths sort [wealth] of turtles/ M6 C. {$ e7 j- E3 x% Z7 q" W
  let total-wealth sum sorted-wealths( ~  d& k1 P2 ]# H' ^' `5 G
  let wealth-sum-so-far 06 i: q  P, H+ E! s* x( I! \1 o  x
  let index 0
% @. g% n+ [( I1 a  @5 ~  let gini-index-reserve 0
1 s, @9 m3 U4 R% r# K9 t9 b4 P1 Z+ o, [+ g( Q# x- r
  repeat num-people [3 d0 G2 T* i' P: e
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)$ }. _5 a. B1 X, x0 @6 m
    plot (wealth-sum-so-far / total-wealth) * 1003 @$ u& b, u; n- `2 |$ g
    set index (index + 1)
6 v# @2 G. o% t- C    set gini-index-reserve: ]8 p8 I* y+ |6 `
      gini-index-reserve +1 l* c; H4 x6 y* Q5 a3 x: B
      (index / num-people) -7 A# G' [" \4 R' p$ d) U; D
      (wealth-sum-so-far / total-wealth)
! g: C) T: _( w. t& s2 A" G* Y  N  ]
7 Y0 Z- m) K3 i4 Q7 M$ q
4 P1 o9 B' J: \6 c  set-current-plot "Gini-Index v. Time"  X, L; Y1 h1 w% g3 [
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
% e! }1 r8 p& X4 kend
" A- h9 `, ?- oto-report area-of-equality-triangle
" }% q& d1 E8 G- f9 ]5 K1 g1 ?  @: [- R  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
0 ~# x! ?4 d1 P7 l& @, jend
 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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