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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 x( M; X  L: c& l" k2 ^; s: j/ fglobals
/ T* R9 s- e3 Z: P[
8 ], l* ^  F* s/ I* i) J: B+ I/ A  max-grain    8 i+ R% T9 |; ^* `
' E' I3 u/ E4 o& v
]
8 J8 n5 ?% ]. P/ ^" m
4 T' A$ [. u- x: c0 p) ipatches-own
4 Q9 [. E8 b$ u5 M[
5 D7 O, w& j: ~$ S( a  grain-here      
1 x4 s' E# g3 Q$ l5 h% T7 X# t  max-grain-here  ( l- z. g4 |$ o3 t: R1 t8 M
]
( A& D; i1 z9 C& N6 t* e
, p* w, q3 o0 v7 yturtles-own
+ Q; P. ^  }, k- s, s[) \+ `1 i. F9 K8 o. K5 O
  age              
, h, j& X, Y! M* f  B6 D: o7 E  wealth         
; S* q# c; T5 c) d  life-expectancy    X* P$ j+ t! n* C+ R* @9 _& g; K
  metabolism       $ W& h; ~3 |1 B3 B+ h
  vision7 D5 B% \) S+ n% o6 k: U
  inherited         & O! ^2 h8 B% ^2 h" v
]
5 v- }/ l% E" v- M3 z" _  }% C; s; [+ D! ^$ W8 U" I
: z, r! W0 m$ M; |
to setup
/ W5 ?# J9 U" O5 w* b7 @; p  ca
) \# @/ s3 L$ a0 s$ I) t( h1 W  set max-grain 504 {( D0 `( A! m3 c
  setup-patches- y# C2 T! F" m% \# y6 T, P& `
  setup-turtles' S) u5 ]. U1 u; J) X
  setup-plots
% {: t! o& Z3 P  update-plots
$ R$ h7 b8 _4 ^1 d) o; dend
9 ?! f( w/ u* b2 [6 r1 N" rto setup-patches
  S! ?# o+ @3 @' y) {; Z  ask patches" I' }7 m2 s$ h
    [ set max-grain-here 0
& \  f4 \" _% q      if (random-float 100.0) <= percent-best-land, D- h9 ]& H/ a; B) _
        [ set max-grain-here max-grain
1 |3 ^  y! P" R$ k( h5 U          set grain-here max-grain-here ] ]& A) }6 H) u0 h
  repeat 5
! q! r# z, ]. r6 e  U, I    [ ask patches with [max-grain-here != 0]  U# n' ~' @6 a5 E) B& F
        [ set grain-here max-grain-here ]9 F- i2 i( `) E
      diffuse grain-here 0.5 ], ?0 C6 @3 Z8 R9 K# Z- F' P: d
  repeat 10
) |6 B4 s# g" [' ]    [ diffuse grain-here 0.5]          / u) {2 O7 ^4 N/ V/ P
  ask patches
6 r' A: c+ H5 v/ x+ O    [ set grain-here floor grain-here   
1 H) ?6 o. P' C) u5 m      set max-grain-here grain-here      
6 Q9 M: m3 f2 y  E3 V1 _5 ^  l      recolor-patch ]
3 ]! q# @  g' I# t" fend& X$ [5 L2 K5 h) `/ z6 W4 h
to recolor-patch  
  A* Q! m( h/ o0 U  set pcolor scale-color sky grain-here 0 max-grain2 C: M9 K$ I4 r( F3 {
end1 n. D+ `* c; u. F
to setup-turtles
, M: B. m% C% T+ S  set-default-shape turtles "person"
  p( v* Y: c/ V" C# f# v  crt num-people
4 G9 \  h2 Z  ^    [ move-to one-of patches    J8 r( y$ @4 ]7 ?' m
      set size 1.5  : v, k3 ]  e7 t; i/ @: O1 \, s) j
      set-initial-turtle-vars-age. C' Z3 n7 B, E: a' w
      set-initial-turtle-vars-wealth  l5 F. T3 j# d$ @! N( j; T
      set age random life-expectancy ]9 o1 d+ D* k; E5 z0 w% {1 ~
  recolor-turtles
7 L! @; t$ \' I& iend
" g/ O$ V" S" I  N# m
1 T' }. E2 f( X3 j5 M# R7 Z2 Lto set-initial-turtle-vars-age; ~( s" D1 b/ H/ `" d
let max-wealth max [wealth] of turtles
: V' S- R6 R1 v1 l' }* m0 Q      G, B$ L" z# [, ], ?
     ifelse (wealth <= max-wealth / 3)
( ?" L. P0 q8 n7 |% a- f        [ set color red % O, ^5 G! q, O" h
          set age 0
6 C: o* d. s- \$ M          face one-of neighbors4 " r& d7 W3 _4 M% y" \8 e" t( `# Q4 }
          set life-expectancy life-expectancy-min +5 `9 N4 L! v, A  B# A5 h( g0 g7 }
                        random life-expectancy-max
! \* {1 X! x  d9 T! H0 l; a! R* i          set metabolism random 1 + metabolism-low
/ b1 E3 @& h4 K+ f1 K, U  ^. o          set wealth metabolism + random 30
  O3 ]9 }) Y+ [9 v          set vision 1 + random max-vision, U4 i' @3 H$ v' @$ h. S2 P, w
             set wealth  wealth +  Wealth-inherited-low ]
) Q: ^( _) {; O0 Q  P        [ ifelse (wealth <= (max-wealth * 2 / 3))
' z- E1 }* Z5 M8 J$ W            [ set color yellow 1 P# ]. y* |, v, p
              set age 08 I8 v5 R5 i# S( d, A
              face one-of neighbors4 ' h! {6 r4 I4 J7 [4 l9 b4 B
              set life-expectancy life-expectancy-min +
+ f9 f% k8 |1 a5 D5 ?                        random life-expectancy-max + 1
! `/ U# z1 P9 h4 c              set metabolism  1 + random metabolism-mid- |0 D! i3 p9 f8 t8 V
              set wealth metabolism + random 30
+ }$ l, I2 n; K9 O              set vision 3 + random max-vision& h5 V" l9 l* @6 n% z; N
                set wealth  wealth + Wealth-inherited-mid]7 q$ [" @4 k2 ?& P
            [ set color green 0 e1 q* r  t! \; H4 e
              set age 0
5 Z3 Q5 N3 r& t% b( A. k              face one-of neighbors4 # d4 [2 z) V# R- b  W, `) L
              set life-expectancy life-expectancy-min +8 G+ R1 i6 O, u; N! r* ~2 |4 l
                        random life-expectancy-max  + 2
0 d  h' K+ `, g6 r: l" Y" C              set metabolism 2 + random metabolism-up9 J0 y0 `3 s1 w
              set wealth metabolism + random 304 _# |4 N2 {; [. R; B+ f2 e
              set vision 3 + random max-vision( ~4 X! T$ F/ i/ {& e* f0 X- h
              set wealth  wealth + Wealth-inherited-up ] ]
( p% t' `$ k, Z' A4 i; U/ G   J' {; S( l& {
end
* Y/ i6 U4 l% p4 W! r; \5 mto set-initial-turtle-vars-wealth; l  x  _& U6 F9 `9 d
let max-wealth max [wealth] of turtles, W' ^3 g, L0 f7 E, j
          set age 0
$ r4 U1 p% V5 P% h          face one-of neighbors4 5 [" {6 ]: y! n) z$ x( {# r$ q
          set life-expectancy life-expectancy-min +7 M6 M; t' b* |9 m" y- O
                        random life-expectancy-max + N0 r$ y- s% ]  ?4 `  w  ?+ G- C
          set metabolism 1 + random metabolism-up# L- n. M* ~! ], t% e
          set wealth metabolism + random 30
* S; q. @$ L$ k" `: l          set vision 1 + random max-vision ' D- S( c+ d2 F( K+ ~, b/ V1 L! g
end& |$ L) Q, l) |4 n; l9 n
to redistribution
4 G$ b+ ~( R3 A6 U' Llet max-wealth max [wealth] of turtles
/ I5 H3 U, s9 f$ vlet min-wealth min [wealth] of turtles
. Y1 S! I' Z4 h- V2 b. T* \if (wealth <= max-wealth / 3)# W  e: J; b$ p- ]' ^8 L
[set wealth  wealth + Low-income-protection ]" N" h, J+ K* C9 l8 T  L/ U
end; B9 e' K, e8 j4 i$ f" m
          . h+ `# B. I) X) J  p& U  T" g
to recolor-turtles
/ {2 [8 _+ H& N* J( o  let max-wealth max [wealth] of turtles" h6 Z( r% b& ^" r; `
  ask turtles
4 X8 j" [" @( d. ?   [ ifelse (wealth <= max-wealth / 3)( v+ J; }; Y6 }9 S0 B/ m
        [ set color red ]. U" z! ]( l5 \7 L; j0 O4 s  F. I
        [ ifelse (wealth <= (max-wealth * 2 / 3)), W- F0 g9 J6 K5 F3 @* h: i( N
            [ set color yellow ]
; E3 o  g/ Z6 G" j8 t( C5 `, G            [ set color green ] ] ]7 P2 I& |& c3 G& T- ]
ask turtles [ifelse show-wealth?
/ M/ w, Q) x% Z! ^9 E4 [1 X1 O    [ set label wealth ]
+ O/ H" y5 O8 q/ ]: ?4 l0 t# {    [ set label "" ]]
% o0 j, M* y# ]4 P4 D6 R7 @end8 @5 R4 [7 d: \4 N8 I0 D# b6 r8 W

" a9 }$ b  r4 S5 A! fto go2 `% A+ ?! ^2 W& v! R
  ask turtles! y4 \1 e( j/ M, }
    [ turn-towards-grain ]  $ G  M+ M+ V( K5 b
  harvest5 y# E+ Z2 q" D7 v& y3 I5 ^
  ask turtles
! }1 A. g, P, v0 q5 A    [ move-eat-age-die ]
# N) p* U, J( x/ R, ?  recolor-turtles& g3 T* b3 n# n5 N
  if ticks mod grain-growth-interval = 0
* `; }8 v9 l1 `; ~! ^% B    [ ask patches [ grow-grain ] ]
  P. d. q  S- b* K# D$ b9 S: e   ( g, M( a' k$ ]/ f& `1 n6 U
  if ticks mod 11 = 0
7 z2 l6 z  |8 C8 L/ s4 `  [ask turtles
1 A. a3 D/ Q( f* N' e9 |, x  [ redistribution ]]
# U& L) {; ^4 A' H  if ticks mod 5 = 09 {( Y  D/ w: O  [1 J
   [ask turtles3 p* Q1 J* G) B: I- @3 B
  [ visions ]]$ n5 A* d; L+ k6 ?- n6 V6 a/ v! v
  tick
5 E2 x7 y6 L4 A7 I$ `3 J, h  update-plots" K1 }+ Z: g$ D' m
end+ s, w' Q) p4 p; A' [4 x
to visions- `6 T4 e* |5 p7 f3 W5 H; x
set vision vision + 1 / L7 I- @) E. A4 b6 M% C
end
+ f! l+ U7 J9 l8 X6 z: O, v, i; b
* x/ @% r. v5 h
; I7 g4 v! d: r' r( r& b' O% ^
0 o4 U# E3 H0 ]6 ~, n5 I- b; Nto turn-towards-grain  & d) B! {9 Y6 r# f
  set heading 0
. x1 s. O& Y1 z, d3 A  let best-direction 0
2 }* a% i6 O5 f( h4 B( _/ f9 W  let best-amount grain-ahead
5 ^0 N% r! W1 ~% E& h- Y  set heading 90& C1 ~: ]/ x# C4 Q/ n* ]) a9 J8 h
  if (grain-ahead > best-amount)
3 ?! q5 V) _5 `' p    [ set best-direction 90
8 n! ?, r0 @4 |      set best-amount grain-ahead ]
! y7 d; l3 O1 i+ q* Y" M. U+ N: ]  set heading 180
3 n+ x: ~; F/ u1 a5 w( N7 g/ _  x  if (grain-ahead > best-amount)5 Z+ f' m* I6 N# n  b0 L
    [ set best-direction 180  h  O; N- A! A$ R0 t
      set best-amount grain-ahead ], C  p: H7 _& X" S
  set heading 270
# }2 k6 I, n- P8 E8 d; ^: A1 R  if (grain-ahead > best-amount)
' b) ?; H" D( F0 r0 Z* ?    [ set best-direction 2701 k$ R& R% K6 f2 u7 l# y
      set best-amount grain-ahead ]
% C: N8 {: s, ~  set heading best-direction8 j5 C0 L5 k# U+ `- w1 c* C5 i
end
. i5 i, k* \# ~- N: V# Q/ }( @4 R& a7 U: y; H+ C: `0 W' A) Z

8 [" K9 K- r  p0 e1 X4 `to-report grain-ahead  
8 W2 e- H9 i- {7 e  let total 0
) h/ n8 h! |- c6 C) I6 u  let how-far 1
8 @- v) N4 K8 \  repeat vision6 S. c( o) u  V
    [ set total total + [grain-here] of patch-ahead how-far; |% k" D' D% p/ a& P0 X/ T* h* a
      set how-far how-far + 1 ]/ l9 E+ q1 p, n' d
  report total  b0 v' s3 B6 y
end
: V( _# o1 E  v0 B
9 C0 U" @2 ]6 @( A  w( uto grow-grain
2 o' M! \2 L3 O' d) A. y5 n  if (grain-here < max-grain-here)
0 f) g. r: E& z: i    [ set grain-here grain-here + num-grain-grown1 u7 i5 S2 G4 B" z" U" ^  a
      if (grain-here > max-grain-here) / ~5 [. O; e7 T8 n
        [ set grain-here max-grain-here ]2 [6 T2 X' r) ?3 |- V
      recolor-patch ]$ a( C; b& Z& U/ q. X
end6 m$ C0 _. M* w3 F2 w+ \
to harvest
, P. Q3 \$ H  d) e6 r0 \- o- b4 Z  ask turtles
' X8 X6 Z9 X6 u& b6 ]8 g    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]  K* r4 L. J* }9 P$ ]) h
  ask turtles$ x& U. ]4 Z+ w) s) k" @6 C+ f
    [ set grain-here 0' X7 Z9 e+ K9 x- F' j: F' x" P3 p
      recolor-patch ]* U" ?: ]3 f5 W
  ' B/ C4 y5 m0 H5 R5 t
end7 r/ l2 |3 g  ~+ f

" y5 n1 m9 g; U9 X7 ito move-eat-age-die  
( b! ]( N8 S9 f  fd 15 _' h7 O6 ^% @7 `/ H  W
  set wealth (wealth - metabolism)
& O! s) s4 @# H% G) ^    set age (age + 1)
; J. e* y: R$ \$ {3 u  if (age >= life-expectancy)/ ]) i& A' b8 k7 O
    [ set-initial-turtle-vars-age ]
* [1 Z8 R: O7 e$ j% |9 Y3 g  if (wealth < 0)
9 j3 j9 w/ T+ l9 c  c' ?    [ set-initial-turtle-vars-wealth ]
. d. r6 ?, d+ Z* J    , v* y6 K0 d7 G" K. M6 Q9 D1 a
end
, @- S9 g9 l7 b% ^1 x( s, J
5 w0 h. ^; n9 L& ?2 }
' a8 Q/ @* k8 z  Zto setup-plots
. |% \3 B/ o- O3 q  set-current-plot "Class Plot"
- `+ n4 N: R( X" {3 O1 L" X  set-plot-y-range 0 num-people2 B0 A2 ]- y( H" A
  set-current-plot "Class Histogram"7 A  d. Q+ {( i6 Y- z+ h' m! D
  set-plot-y-range 0 num-people
& c: W1 O8 ?$ v! V0 e5 ?end7 w$ e$ R* w. q
* j7 u. x/ n8 s+ p4 t0 T7 n7 c7 X
to update-plots
) D. ]6 f& I$ ^7 A$ i  update-class-plot' W! f/ Y- C/ G2 }0 D, P
  update-class-histogram
/ N9 D: b4 R0 k, i  update-lorenz-and-gini-plots* [$ }) ?$ J  b4 a
end
" O& z/ t/ J( ~- Z8 l' W) t$ E4 _/ n: k
to update-class-plot
5 s5 y" W3 O( m# W+ `  set-current-plot "Class Plot"' j* o8 p: a5 x; j, z; N
  set-current-plot-pen "low"% e0 \1 e' X2 m2 K8 D; L1 {
  plot count turtles with [color = red]
4 @& R9 H# C0 J) N& R0 r  set-current-plot-pen "mid"
0 O6 V# F3 N" y) y  plot count turtles with [color = yellow]
, P2 t/ ^1 w" [- J  set-current-plot-pen "up"
' ]( j0 f$ m. C/ z3 b  plot count turtles with [color = green]6 j* D  M6 F/ r9 s
end
7 ^" h" U2 K! t7 ^( m3 S0 e0 Y. A
5 z1 T3 {# S% Q" Fto update-class-histogram
# _2 K/ Z! E. }: z1 l  set-current-plot "Class Histogram"4 p7 L3 `8 p4 p3 P
  plot-pen-reset+ r: O: c: g' f1 M
  set-plot-pen-color red% v' H4 w0 }4 m& i) l$ Y, m8 I& e1 t
  plot count turtles with [color = red]
5 f* w; g. ?- A& G& `& H  set-plot-pen-color yellow
( d# @9 {, I$ v$ ^" F4 R  plot count turtles with [color = yellow]) W0 I9 w( q! K1 T) q
  set-plot-pen-color green
8 P, t6 b6 M, a( f8 V  plot count turtles with [color = green]* j- ?7 \0 C1 ]4 b0 `/ N! `
end
2 W& J$ i4 R( |# tto update-lorenz-and-gini-plots) x5 Z1 u  J8 `
  set-current-plot "Lorenz Curve"- n5 X, M) z' F6 H( I
  clear-plot9 f+ S5 x6 ^1 r' G" ?2 o- c

3 @1 ^7 d, @1 y5 C/ A  set-current-plot-pen "equal", e& r( s8 ~" s% `* G' Z! x
  plot 0
  k+ N- [$ p  O4 @0 X* c  plot 100
( R4 P$ x- m) [: d4 N9 M- m2 i. ^
  set-current-plot-pen "lorenz", t# V% K1 D) P' g" r
  set-plot-pen-interval 100 / num-people
4 d0 d5 Z' d) W8 G3 E$ m' l. {  plot 0
# y& g0 E1 V3 e: M
. m0 \8 ]& {" L. g  let sorted-wealths sort [wealth] of turtles
. ]* f" x% d7 S8 ]: J  let total-wealth sum sorted-wealths4 }- d# S* z. F
  let wealth-sum-so-far 0' E1 J" B  Q0 W9 d" n9 b
  let index 00 O: K3 n4 a7 Q% P
  let gini-index-reserve 0
7 }  c7 H4 x3 {& V* Q" }0 X0 ~
, W4 |9 V, [& S" |% e* `4 y5 C  repeat num-people [
: P% {0 c- K' ?! A' D: J    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)! T' N$ _+ p% S: l9 j! R! ]# R
    plot (wealth-sum-so-far / total-wealth) * 100( k7 |: O0 A; q' j9 O; L% l
    set index (index + 1)6 Q+ w: q( t/ X. Q+ e6 Y  _
    set gini-index-reserve
3 ?2 G$ r# l& p# P! I7 h" p% q      gini-index-reserve +
. d8 u: a; b2 ~2 _9 d1 T# O% `      (index / num-people) -
+ ~$ N+ S+ |4 s      (wealth-sum-so-far / total-wealth)3 v* L; ]0 [9 o& ]0 M
  ]. m+ P+ _0 j; ?3 E. \) q

: Y+ u, O' ]: k2 A, W; z' H  set-current-plot "Gini-Index v. Time"
# `% I" S  Y4 l& c5 u" o! @9 p0 B  plot (gini-index-reserve / num-people) / area-of-equality-triangle# \, ~, E! ?( j3 _
end- R. B1 j& T3 @, Z; }
to-report area-of-equality-triangle9 U9 w) w) L: C& D9 T
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)  U/ g  @7 m2 T" D+ \
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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