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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
5 r7 \% c) C: Bglobals
* Y7 z. y& C; E: g4 _4 I9 Y[
! W& k- A; m1 S) f# K& j  max-grain   
8 |9 W& E8 X( C% F0 a$ E8 ]2 n2 C; N6 R, V+ L5 A' O
]1 I: k4 h0 i. F' U  ]

+ @7 O' m4 Q3 W# m$ h1 ~patches-own
) j' v) P: s! N, Y; p3 I7 x[
$ R4 M) o4 z% ?! H5 m  grain-here      
' R  F" \8 k' s8 Y9 C. w- m0 w  max-grain-here  * }) M1 S% {2 A9 R$ ~
]
6 e5 X( s/ D9 g* C! e/ K& W9 c
( c* z2 k+ Y8 P8 r! y* _* n/ }turtles-own
, i* V; h, R; R; `. k, v[
% O$ ^7 n# w# W; h5 U1 ]  age              " l& j6 m5 r( m) a
  wealth         . M- m0 L0 p# E9 r) Y: u
  life-expectancy  
8 J% l; j) `( ^( P' E, s  metabolism       3 s; ?+ q/ f- B
  vision( ~+ }0 E- I! w, m. e( w
  inherited         
7 M/ Q% C* Y1 {- C" y+ N]
5 ]0 m, \; i6 R0 t! t( o! u
+ A6 C% i/ c( O1 d$ ]
6 N, |: k( \4 ?to setup/ c9 T& ^# @' i# J2 ?; V8 ], D
  ca+ v0 V, g: f9 [  v  y
  set max-grain 50( Q  v& k' M( w' z& S
  setup-patches
5 M5 N1 p. o/ o. W2 I  setup-turtles
4 P6 W  T9 I4 R  setup-plots$ H( `0 |# `$ w; w" S/ R6 t% O
  update-plots
) u4 X% C4 {7 j$ T9 O4 aend  ~9 q6 k4 z6 Q7 N6 `
to setup-patches: E" t) O' t0 x8 S
  ask patches
) k0 N5 L3 Z4 o& ?) S    [ set max-grain-here 0* E& z5 d% R5 }8 b1 u) w: V) S
      if (random-float 100.0) <= percent-best-land2 o. o" V% r7 B" L4 I- d! D9 @2 i
        [ set max-grain-here max-grain
! T! t$ P1 `  t          set grain-here max-grain-here ] ]) z# R$ y+ Z- W3 R2 P
  repeat 5( t! b/ I% s6 t1 p
    [ ask patches with [max-grain-here != 0]. G; d6 D$ {( c0 P# B
        [ set grain-here max-grain-here ]
& j) t  v: L' N1 v+ [      diffuse grain-here 0.5 ]6 @% |: D: R4 y8 Z+ f
  repeat 100 e- j" M2 X, f3 N/ h
    [ diffuse grain-here 0.5]         
0 V  @8 i$ n& B$ o  ask patches: \. m8 n1 S4 Y! n( P# @/ o; q' Q
    [ set grain-here floor grain-here    ) D. |/ `" \1 l* C
      set max-grain-here grain-here      1 H8 N6 k) y6 S( [/ `' C4 ?' v4 k
      recolor-patch ]6 R* i- R. E. k* ~* \
end
1 y# @. A4 l+ n3 g7 e. zto recolor-patch  % \; I) Z- `" \! ~, U
  set pcolor scale-color sky grain-here 0 max-grain8 i/ W; L' q) c  `4 \9 Z
end
; E0 n; U3 o- rto setup-turtles0 H  V2 J( B5 {. w8 A
  set-default-shape turtles "person"  i8 T1 K- ~* Q4 @# k0 h  L
  crt num-people2 P. \2 O) S* X. M
    [ move-to one-of patches  / h) T, V( k  F$ L% E* \! [1 G
      set size 1.5  
2 @  D* c& J, p      set-initial-turtle-vars-age6 M2 G& [: C' f/ m( R
      set-initial-turtle-vars-wealth
, I- B' r2 [, r      set age random life-expectancy ]
: P5 B- n3 c- F% Z: Q: z) }  recolor-turtles
# @- x# W3 S- h( Jend
! `7 C2 f5 U4 o: M0 [/ e5 P& A, A
to set-initial-turtle-vars-age
7 D6 |) x# \* e; ^' }5 j let max-wealth max [wealth] of turtles# O4 _& D1 F8 ^  R: K
    7 z5 Q: }3 o$ I
     ifelse (wealth <= max-wealth / 3)
) {0 b' d5 b1 g8 m; D        [ set color red
! e: K& ]) E- H          set age 07 K; P8 H2 `+ S3 t; }/ S
          face one-of neighbors4
; F( y  u7 u1 ~3 j2 h  e/ i          set life-expectancy life-expectancy-min +! E4 H0 n: I4 d- m+ Z  M
                        random life-expectancy-max 0 [$ Q! r  q4 v2 a6 {
          set metabolism random 1 + metabolism-low
! }$ \; B% w1 c2 w) ~6 ?3 r          set wealth metabolism + random 30$ _  O* z( i4 O5 l
          set vision 1 + random max-vision/ |' z, X( D  {( d6 m" S, W0 c
             set wealth  wealth +  Wealth-inherited-low ]- r2 J2 z$ I  s- `6 k- J
        [ ifelse (wealth <= (max-wealth * 2 / 3))5 B& ]! ^" t! V; o! f" S
            [ set color yellow
9 w( U0 c! E0 {2 ~: K: f) U) ~( W              set age 0. Y/ b, \( z. ~3 i
              face one-of neighbors4
" s1 g6 t, K4 g              set life-expectancy life-expectancy-min ++ R" @7 y! `1 f, g
                        random life-expectancy-max + 1
! R. P3 Q# j& d2 a* v# K              set metabolism  1 + random metabolism-mid+ [8 R; P4 H! N% y6 T5 _
              set wealth metabolism + random 306 [; g- W% L6 L: f* o; f, L
              set vision 3 + random max-vision
: p, @# r. R" r$ p; [& F- ^                set wealth  wealth + Wealth-inherited-mid]! j! s! j+ ]# V3 ~+ s
            [ set color green
8 _; J! D% d& o  X1 a$ x              set age 0
& I2 O- E7 H$ q              face one-of neighbors4 ' t: V4 T& c2 g: [9 O* {
              set life-expectancy life-expectancy-min +  m* M: q% o5 D' I9 j# X
                        random life-expectancy-max  + 2+ m) N/ r2 x0 o1 R2 b/ A
              set metabolism 2 + random metabolism-up) x5 j3 `$ y5 k  K5 l! y
              set wealth metabolism + random 30
- S$ F& ?! e/ N6 Q              set vision 3 + random max-vision- |3 N$ R0 k+ C5 g5 @! H
              set wealth  wealth + Wealth-inherited-up ] ]
% z. M& @# e- q& p 0 B) E! w- m: L) U
end0 N7 B/ V* z- x
to set-initial-turtle-vars-wealth
4 p+ O( L* z$ M' Y/ a' j" [ let max-wealth max [wealth] of turtles
7 r+ M" `2 f# O9 h4 Z6 G          set age 0
% C! ^7 l, e2 C- U6 `& ^          face one-of neighbors4 , [5 y9 G0 H1 h2 T  r0 D( c- S
          set life-expectancy life-expectancy-min +
( @; o1 `; G4 ~' T+ s                        random life-expectancy-max   J. G) U* o' V" j4 G; q
          set metabolism 1 + random metabolism-up; j: H+ X. n5 q
          set wealth metabolism + random 300 P  m" o( S! R, g
          set vision 1 + random max-vision
5 C2 |/ A* h3 ?, f4 @) Z* ^end
3 p! u* Y1 [1 _% p* kto redistribution# J0 B: n# n$ x# t/ l- A
let max-wealth max [wealth] of turtles% ?9 N) x" ?8 T: h5 [
let min-wealth min [wealth] of turtles5 y2 h5 I0 C0 \/ f2 v* P4 ]0 ?( j
if (wealth <= max-wealth / 3)# m8 }% w' Q( G( D/ d2 _3 j
[set wealth  wealth + Low-income-protection ]% n8 h$ l1 Z+ J9 _1 N5 o- p; U
end
' c/ r9 U) K4 Z' [3 X          6 j0 I9 [, N) `
to recolor-turtles: z+ ~1 g* u' M% N+ K0 g
  let max-wealth max [wealth] of turtles
' v; f( b1 o+ q  ask turtles8 w( @* T% s( e
   [ ifelse (wealth <= max-wealth / 3)5 w/ B4 p4 I, ^0 G3 b
        [ set color red ]$ C( X* J+ _9 K5 S7 L/ ]( E
        [ ifelse (wealth <= (max-wealth * 2 / 3))
! M$ ^# d& q# M7 D9 z" i8 w            [ set color yellow ]# t* Z; \8 x$ g- k1 s
            [ set color green ] ] ]/ x1 t; c% O4 v% `' r) y& z  O/ Q# o
ask turtles [ifelse show-wealth?
9 p; ~2 a: b  Q. j2 Q    [ set label wealth ]3 o8 G& K' Y" \- B( u2 q' p
    [ set label "" ]]
; x/ M1 K  i3 r; g% Send
; D2 N' B2 {  m( d% U: L. c+ z9 Q5 Z7 ~! G# S
to go
1 w% ^" m9 v0 t1 T) e2 B; V  ask turtles; h( D" B3 r! D
    [ turn-towards-grain ]  
8 Z* }. n/ a8 H7 r. e  harvest
" ]& T/ I: O/ p7 U  c* f3 [  ask turtles
% _& `. c7 e1 E8 s/ w* p  M% p    [ move-eat-age-die ]% s4 i% B0 {: B; r8 Z
  recolor-turtles
5 S! U. G! u. w* F# S  if ticks mod grain-growth-interval = 0
; @, |5 y! Z( Q6 J. |    [ ask patches [ grow-grain ] ]
: V, @. L: E6 m1 x   , u- X1 t; S6 @# ^' T! U; }; K
  if ticks mod 11 = 0# W/ r5 S% {$ F% x6 M8 A4 q; O
  [ask turtles! G9 w+ o6 k5 i. L& [9 t, t$ E6 a
  [ redistribution ]]4 F+ m6 m  @3 M  V1 G% `
  if ticks mod 5 = 0
+ b/ o' F; J+ _  `+ g   [ask turtles2 r& a: ^+ v9 I8 U+ F% j7 s2 i0 N
  [ visions ]]
1 f- v4 p5 ~$ b  G7 R9 P5 U8 [1 l, {  tick* C( `: n5 E% K7 J4 @$ u/ P
  update-plots7 u4 u* P  h% m! O  H) ~- h
end
/ z/ c6 A" G' d) k4 n% K/ tto visions
% v2 n& Y4 r# `+ I' c set vision vision + 1
3 z# x& f' Z/ ^4 p8 aend( c, ]' X8 \- E3 `# ^6 N/ u0 a1 R

/ o" X+ F* u- j3 _* s6 h( E, J0 Z+ t) h% K9 A
  P5 x% s4 P7 D1 D4 `
to turn-towards-grain  + |9 Q* h3 {, [
  set heading 0
- W, P3 U& P5 k: O# r/ g  let best-direction 0
' ]- t$ ^  B% N( S0 C  [% ~  let best-amount grain-ahead
( n  T$ R9 \" r* x6 G  set heading 909 S5 Z7 o- X" g$ T6 X0 g3 j7 S
  if (grain-ahead > best-amount)
. g  k+ s# C8 W9 P; t9 d    [ set best-direction 90: Q, P- o+ O7 R, t* ?! M6 g4 i
      set best-amount grain-ahead ]: G9 ]' w- A7 e, B$ @; R5 P
  set heading 1809 b. O0 G. W8 y0 D
  if (grain-ahead > best-amount)
6 @" u* [) i1 w, H4 j  d, k1 v    [ set best-direction 180
, \' o; _) J6 f  c6 Y1 m4 |/ o( Q      set best-amount grain-ahead ]) m0 W2 v  I* X) l- {
  set heading 270
( S9 m" n3 S- E* P5 F  if (grain-ahead > best-amount)
' ]$ w! }7 B$ ^) ]5 R    [ set best-direction 2701 h- b& b! ~  ~4 _# q" q% R! O# C
      set best-amount grain-ahead ]+ |: i- J/ ]: C, t5 R; x" m
  set heading best-direction
& u( l7 \' |& r% n$ Q1 rend
3 ]9 _) m7 V" T0 c2 U% S. x! l9 r  N( `/ x$ b
/ q4 w( d5 v; Z4 ~  X
to-report grain-ahead  
& r7 r2 L0 p6 F6 [, B, S  let total 07 v7 e4 p2 k0 s7 ^! p$ M6 e
  let how-far 10 M+ I0 H# `; a5 B$ T) y/ D3 w1 I
  repeat vision
0 _4 _3 ~! a6 k% y  s( ~. G" x    [ set total total + [grain-here] of patch-ahead how-far- h2 ]/ @' l  i' \' g- ~
      set how-far how-far + 1 ]
; q. w8 y+ j+ e3 |  report total/ K" S) ?( m! C- ^4 i" R; b* V1 L
end( }" A3 s) k0 }/ j/ B
" q7 t. d/ K, k! d& X9 C( Q# e4 d
to grow-grain
$ b$ ^9 D4 x  L, c  if (grain-here < max-grain-here)8 Z7 E8 E2 E, s* b" e4 C/ z* H. h
    [ set grain-here grain-here + num-grain-grown
7 i2 t3 F. Q! G/ S) ~+ L      if (grain-here > max-grain-here) 6 m& |3 \- ]% D4 Z5 o
        [ set grain-here max-grain-here ]8 x1 }: q1 A) e1 h- G
      recolor-patch ]
$ s& ~7 O1 E! Z5 ~end0 d/ j0 Q, v( F( p
to harvest6 u5 C# h% m( ^, _% c; N
  ask turtles
* s; a0 E8 I( x    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
3 q$ o& @* a) C4 Y/ ^  ask turtles
  z, V" _) ^- J4 Z% M    [ set grain-here 0
; P1 g& S/ z0 D. i: W4 M7 D      recolor-patch ]" ~. r0 F4 w" Y0 x
  
5 _! D4 M8 _: k: U) j- D. Nend
+ g9 K6 D, j4 e) W
5 J9 n0 g' t% |/ D, h; @to move-eat-age-die  
1 {, m& A' l1 Y- |) h  fd 15 o( B& G# S' D1 F; m6 G% ~
  set wealth (wealth - metabolism)
. e* e9 z0 r9 j- b; M    set age (age + 1)0 I7 X! K/ }2 g6 p- X8 J. l
  if (age >= life-expectancy)
! N' B  e6 |3 R    [ set-initial-turtle-vars-age ]- l, f7 W: F) {+ c  |% ]  |
  if (wealth < 0). w: {( ^: D$ j/ ]8 y, ]- e8 \
    [ set-initial-turtle-vars-wealth ]- z1 z% d1 W* P! |) ~  J1 ?
   
" o2 z0 I% Z( j0 ?5 O+ t+ p  |4 B/ \end& I3 c0 J5 V6 z! ~& g$ l- H/ a# R8 E
0 Y0 x. z) d7 h: N

  w/ P, u# k7 c$ F0 ~4 K; Q6 qto setup-plots
: h3 O9 }$ Z3 i% B/ X6 B' k; f9 n  set-current-plot "Class Plot"9 i9 C4 Q6 d( Q( H3 w$ b; N( H
  set-plot-y-range 0 num-people2 r2 v2 w, S$ L/ H" V. M6 G& V& Q
  set-current-plot "Class Histogram"
3 ]7 A! U% c5 Z* {" c: [! c: T4 G  set-plot-y-range 0 num-people
0 p& b3 S/ q' s5 j6 vend
0 X9 f' S* Z/ B1 \# R, B* ?; Y0 c# P# s9 K2 z) M
to update-plots
+ P( O- ?) K* f( @6 e8 ?  update-class-plot
+ _3 E1 s) u' \& y* ]- W# C  update-class-histogram
. w' H9 r2 ]% ]$ ^  update-lorenz-and-gini-plots5 u. K/ o  u/ x: z
end
  t; q4 K( w9 ?$ e, J( S1 m! m# S& ~' f+ T1 v# l
to update-class-plot
- L. @  W9 n. J. j- ^7 l  set-current-plot "Class Plot"
8 p( G4 K. `2 W! W% i7 Z- |  set-current-plot-pen "low"8 m8 r( `# E1 q3 v
  plot count turtles with [color = red]" b( x" H% _2 `& c
  set-current-plot-pen "mid"
3 m; s9 ^9 {+ x  plot count turtles with [color = yellow]6 a. ]& h! u7 E6 w% ^/ y
  set-current-plot-pen "up"
9 g  l( g( P% T9 f/ x8 F+ v  plot count turtles with [color = green]
7 h! B7 P  d  ]. o. `end
0 C% K/ z. A* }& `( {% `1 n
" D- K9 W6 h1 L* Y  L- Lto update-class-histogram
$ `8 f  |1 ?& U8 M* a  set-current-plot "Class Histogram"
% g( A  }5 n( o! _- F& o  plot-pen-reset3 `% v, e& S/ P' {8 U5 V
  set-plot-pen-color red4 N1 G+ O1 I; f
  plot count turtles with [color = red]
! t9 J1 r/ h: F, F0 X' F8 y  set-plot-pen-color yellow3 a" D5 R' j9 t5 \) ?5 C
  plot count turtles with [color = yellow]
! j2 t# D3 ^8 J; \# a4 B4 z& N  set-plot-pen-color green+ s4 p( P- }2 d7 e: h1 x
  plot count turtles with [color = green]
# q+ ~3 N7 \0 t" ]! [# Dend
& B0 x9 x3 }' t1 x3 j) }0 xto update-lorenz-and-gini-plots
, r7 m; w6 `) \. z  set-current-plot "Lorenz Curve"7 E$ C  }0 E: @$ L
  clear-plot
+ Y! }( C) f* j5 M7 L" p
/ T+ _% y3 @. ~* M9 I  set-current-plot-pen "equal". w2 b5 Y& E& w' H( l' f
  plot 0! M; H3 L: n% f5 Y8 ~! |9 j; A
  plot 100
9 F/ A# r0 C2 i( x" m! b6 T6 q4 `9 o; S) @( g. Y; G4 o
  set-current-plot-pen "lorenz"
$ B# }( n3 M; e1 N( I2 g  P  set-plot-pen-interval 100 / num-people
- W2 M( |6 ~$ A3 T+ r) v: E$ Q* [  plot 0
" q. t" F% L! c, D1 Z9 Q, O4 d# z6 n/ \+ u
  let sorted-wealths sort [wealth] of turtles' p& c1 y- O. ^4 p% P
  let total-wealth sum sorted-wealths/ v' L* c/ G' u$ @1 P& `0 g% H
  let wealth-sum-so-far 0, k9 D: J% v+ K. {4 W
  let index 0+ M0 B, T( m# X4 F
  let gini-index-reserve 0
- C- S( S$ g% Q% P+ C+ L1 `. W: x9 R! y$ s" \- K
  repeat num-people [9 g6 d+ H" W  x/ _' b
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
+ h' `, M6 X, y1 v. a; }, L8 `2 }0 d    plot (wealth-sum-so-far / total-wealth) * 100
  Y( u! R2 b& a    set index (index + 1)
( u( j( {/ v6 O* f0 C6 h    set gini-index-reserve
3 [- R6 T; l! e- H3 N      gini-index-reserve +" y1 O" k0 }# H% U! ]
      (index / num-people) -
# {3 u; Y; W8 a# C      (wealth-sum-so-far / total-wealth)* V7 F2 X0 u! T% w4 L" F
  ]
5 c( q, k- K. K+ F! X& ~5 x0 S3 N4 H5 M2 I/ M# Y9 i3 x/ A% q
  set-current-plot "Gini-Index v. Time"
  \7 O( P$ N4 r; h7 ]0 d  plot (gini-index-reserve / num-people) / area-of-equality-triangle. ?* e& L3 m7 s
end+ b0 h$ b( G% g; Q2 G6 N% d3 A) y
to-report area-of-equality-triangle
7 r& k0 E  V9 `' s  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
2 y+ g* H& w9 n8 D; J+ t8 [/ y9 Qend
 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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