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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
; D/ N1 s. i* I  Nglobals& G% d0 A* l8 `& N/ M5 r) }2 R: j
[4 I; [/ p8 N- d/ O& y- l
  max-grain   
! F* |' V. X' L/ c" L. m, ^8 c3 `- w, |  v" @) s1 y
]' B+ s6 B" N# R! n7 `! b% L

0 O+ u8 l5 E6 V& v# O0 ^patches-own3 \% w& X7 U. G! p) }( [/ g; C8 m1 U
[
9 f7 F4 k, T# p! n  grain-here      6 l) `% ~2 F$ o' r
  max-grain-here  : [* X6 d0 q; h, \* f" G9 S! I
]
1 n* H4 [, j5 j+ m2 T
' b& ^6 Z! h. m* m9 J, @# Q% xturtles-own4 v8 R" p$ x1 v/ L7 w
[6 z$ O. @1 Y# u9 P" _" a1 ?) @
  age              . {* z, |, k  V% ^5 P; Q& \
  wealth         
" w  J7 R) o1 D- t& t4 E: ^  life-expectancy  0 _- v9 M) F: [2 @
  metabolism       1 S3 G) E$ {- j% b/ L9 y
  vision
8 l) M1 {1 A+ y1 U. F( o" F  inherited         $ |4 o" @6 j3 w5 B' ^. [6 l2 q
]4 a6 ]+ m6 d. y! _
9 ?# C: }7 n9 |: }  y' U

9 U1 }4 e; P1 ^6 Pto setup0 p1 \3 `" n& u% n6 w3 f0 d
  ca- R% }% V; C- V$ L% D
  set max-grain 50
* Q5 n: y* c7 R+ l& ], B) d  setup-patches
7 |. V& V, N/ b% I+ X  setup-turtles' W( X8 z; a6 h- H* U$ c1 X
  setup-plots/ P8 I# P6 z3 o  A- ?8 i5 ?9 [' d
  update-plots  P( n) ~1 ]# k- W: G9 p+ E
end
1 b/ {1 a& Y6 F3 H6 wto setup-patches% L  }. }$ p! f& m7 o0 i# y
  ask patches  S' I: X; K/ g, K* C# T0 C
    [ set max-grain-here 0
  x! W" d) X6 U& I& U8 O' S      if (random-float 100.0) <= percent-best-land, Q+ @& l3 E2 z* E
        [ set max-grain-here max-grain& y, Q% |7 ~1 Q: S) X4 y
          set grain-here max-grain-here ] ]9 {3 M0 U" l' ?  x" ]& G
  repeat 5
6 s, q) n( B5 [2 t4 }* {5 c    [ ask patches with [max-grain-here != 0]
/ ^! s+ D0 m! \- R        [ set grain-here max-grain-here ]# [5 P5 x; H- v( e+ K4 E; I4 ]
      diffuse grain-here 0.5 ]2 b6 Q+ }3 F) Z! Q  j1 p/ p
  repeat 10' n0 h) C2 _9 Z/ O9 `6 ~0 i) `
    [ diffuse grain-here 0.5]         
- l3 p8 }; J3 g6 F$ N: G  ask patches. `! E) q7 V8 v
    [ set grain-here floor grain-here   
, F+ X. X" z6 A9 i& J6 m      set max-grain-here grain-here      ( ?0 g" P# C" x( v
      recolor-patch ]8 o5 k& a( n: `' k6 X
end! S1 v" p/ ~: e; O  p
to recolor-patch  
, o2 \/ F& M/ ?9 o  set pcolor scale-color sky grain-here 0 max-grain; V- R5 c9 g# M1 M
end
4 |' \' k( f" r  d+ cto setup-turtles
2 M& d4 g1 P! H* \9 C; f. Q  set-default-shape turtles "person"( Q* |9 ]! J$ P4 d% M
  crt num-people
1 R3 m: l& p9 c8 g4 d    [ move-to one-of patches  
# ^" }( ?' E) c% A* h; _1 z9 O      set size 1.5  , h) J+ T; N( ]9 s+ }
      set-initial-turtle-vars-age
4 u9 V$ d' Q, q) M" a+ |* s      set-initial-turtle-vars-wealth
! O' a# H6 ?: u; X: }      set age random life-expectancy ]* v: o  }( |* M: O' P+ z' D
  recolor-turtles# N& P2 U9 O+ K% f
end
! a: s1 F. a- ]: K* C7 m2 B" G
6 F7 T% v* S+ K( L+ D- pto set-initial-turtle-vars-age
2 Q/ I" G7 F& x let max-wealth max [wealth] of turtles
" F3 F2 Z7 T* ^: C6 S- y   
+ S: A. [, \% I+ A% w     ifelse (wealth <= max-wealth / 3)  p3 H/ P( `& _& R: Q% @
        [ set color red
( B4 ?8 A. g6 r( E0 L& q& }          set age 07 h( s- `9 j: z  a! G8 h
          face one-of neighbors4
1 r. L7 Q' u2 e, L3 ]          set life-expectancy life-expectancy-min +
- X# I' E" ]3 a                        random life-expectancy-max , Y3 C( s( A( ^. L& Z! @. y
          set metabolism random 1 + metabolism-low
" R0 a; O4 J: E  y          set wealth metabolism + random 30/ a: i+ Z2 Q& x2 t- R
          set vision 1 + random max-vision( V. X: g: y( @! p8 R1 ~
             set wealth  wealth +  Wealth-inherited-low ]
( G2 N  }5 F! ^: w        [ ifelse (wealth <= (max-wealth * 2 / 3))/ D' ]: I+ O0 K7 m( S8 `, k, P1 N; S
            [ set color yellow
. s* Z: C( O! u. E- q2 j, a( {! j              set age 0+ g/ Q6 T# F# [5 Q8 u( e; Q
              face one-of neighbors4 ( Q9 X8 t: g5 S5 {2 }
              set life-expectancy life-expectancy-min +1 S$ B+ h5 ~* X- Q" W
                        random life-expectancy-max + 1
3 k& f# U7 r9 i) V: A1 z              set metabolism  1 + random metabolism-mid5 w% ^, e* x% c
              set wealth metabolism + random 30
1 _' v  y9 G8 F              set vision 3 + random max-vision
. S$ X1 ?# ^" N6 B                set wealth  wealth + Wealth-inherited-mid]
# _; q4 Y; l( X$ i: r            [ set color green 6 S+ s8 q1 O) m8 |1 A
              set age 0( p; T' N6 B$ H" S; D2 r2 |# a! _
              face one-of neighbors4
4 c1 f" [) j, M% Q# w$ G) z5 U9 Z: n              set life-expectancy life-expectancy-min +
( y: _2 Z" Z! r                        random life-expectancy-max  + 2
, I/ O1 v- f: ~4 m  a+ g! f4 ^& s4 L              set metabolism 2 + random metabolism-up  @$ ?# k  O3 v
              set wealth metabolism + random 30
. O8 B1 ^' L2 ^7 c& t              set vision 3 + random max-vision
' q7 b5 }! q: e              set wealth  wealth + Wealth-inherited-up ] ] 6 V* q# w" q8 E8 T5 ?5 o

# `% G# H8 s5 }% L1 s8 T# f9 Vend
! C( a% a" ?; ^, y  yto set-initial-turtle-vars-wealth
7 c5 W* \# v4 T( r let max-wealth max [wealth] of turtles7 p' h- `7 f& r: Q2 r4 l
          set age 0! K0 d1 L- N: G, ~6 g6 c
          face one-of neighbors4
4 T8 U0 R2 ^0 ~1 r          set life-expectancy life-expectancy-min +$ h* F' E8 e& u% t$ b9 m4 \
                        random life-expectancy-max ) A& l& w3 V4 I
          set metabolism 1 + random metabolism-up4 e# r- Z% w9 ?; C
          set wealth metabolism + random 30
- `$ Z+ y! w4 D) }          set vision 1 + random max-vision
% l; i: C" v! J' tend$ K6 H/ \) K* \& P( R2 }
to redistribution& P% x, b+ M5 U- a/ ^4 L
let max-wealth max [wealth] of turtles
+ ], u) w9 s' q6 H. |# `let min-wealth min [wealth] of turtles& B6 I+ Z; Y- Y/ B7 a- H/ m! C
if (wealth <= max-wealth / 3)% r2 I" y1 Y% X
[set wealth  wealth + Low-income-protection ]" z' f- g$ q! P' p! D/ O$ _# r
end- e. T+ g' s) l$ J5 j/ z
         
3 [; k+ A3 ?- Q- ?" ~to recolor-turtles- p- g( X4 h% E$ o/ p: Q. a) g
  let max-wealth max [wealth] of turtles
4 P( z- O- o) F9 h1 u' A  ask turtles' }9 T1 \8 A0 r
   [ ifelse (wealth <= max-wealth / 3). l) n1 n  Q8 B. c8 ~
        [ set color red ]
8 n+ t" s+ U2 k3 s/ M+ i$ E        [ ifelse (wealth <= (max-wealth * 2 / 3))$ J# `+ K' o3 o- _4 A
            [ set color yellow ]$ U/ G, f7 Z0 e; I
            [ set color green ] ] ]
# A; R6 u7 o7 m* X3 {9 F ask turtles [ifelse show-wealth?  x$ V3 e, @4 f6 `
    [ set label wealth ]! y# u: u% p5 D# M
    [ set label "" ]]
- B7 w# n& T9 [' A2 j. ~3 aend% U: J) B- t- g. O' X

9 m/ t1 N! R  a$ ?% i2 r! Xto go
; G  e( C4 _" o5 w  ask turtles
* h8 q8 f7 w. V2 y    [ turn-towards-grain ]  
+ g6 Z6 r$ A) a" I5 r3 u  Y4 U3 t  harvest8 r1 E* }5 J9 X- H5 l
  ask turtles4 r  h$ |0 q! h: N5 q
    [ move-eat-age-die ]2 [4 k/ U6 R9 J& h
  recolor-turtles
0 ]% r' g5 _7 k, f6 b  if ticks mod grain-growth-interval = 05 T/ ~& q  k7 ?/ A# o- R
    [ ask patches [ grow-grain ] ]
  {" O) s8 @& n/ v( Q   . J- C( F/ z2 j# T8 t  z6 d
  if ticks mod 11 = 05 ]) T4 Z. L5 e% ^/ s( c
  [ask turtles
$ w3 x1 _6 _9 j  [ redistribution ]]
% y/ V/ d* i3 K) f+ n1 `  if ticks mod 5 = 07 O8 U2 k' i  A2 u% N4 M
   [ask turtles
8 V1 P" y* X) b) a  [ visions ]]& L8 ^3 k( j# Q8 M
  tick
( |' G; {. C* H% g) \  update-plots- M' q8 v3 f, N
end5 E9 h7 `  e( U- U) _/ ~# T2 f
to visions$ |* P* M/ H& T, k/ N" i1 P$ B
set vision vision + 1 2 e* T# d& `0 o3 X( S
end' D) ^& k" i( n! N: r7 s# X- k
4 h, E9 b7 g9 |, e' r( _" @- R

, ?; }0 Y/ e5 b, ~
$ b- r% A8 A1 n, Ito turn-towards-grain  
( e1 z/ P1 O. K1 w  set heading 0
& L, m' I% y  F4 d  let best-direction 0
4 |. Z8 g& j- D6 V4 F/ L) [. V  let best-amount grain-ahead
: Q6 D3 e7 d: Y8 i* j  set heading 90
) f7 o3 x  ]4 l+ j2 a$ |# @* G1 r  if (grain-ahead > best-amount)
# J% ?& Z* C; g$ w/ b7 C    [ set best-direction 90
7 o5 [' R9 z" r/ h      set best-amount grain-ahead ]
7 U" L( N) f! G. t' q6 t6 i3 A9 `  set heading 180
# K) |7 K! v( M# v) d; i  if (grain-ahead > best-amount)
" ~2 n- j! s) B. X; H# t7 p    [ set best-direction 180
' G6 ?7 r7 [3 r- ]      set best-amount grain-ahead ]
: x8 q2 _: a, H. U  set heading 270
/ o% {' u! S; d) V3 U  if (grain-ahead > best-amount)
6 |& K+ o/ C3 \( r& }7 _9 @    [ set best-direction 270
$ @! J: H' f2 |6 w2 S$ V( K% O      set best-amount grain-ahead ]
8 R1 ?& R; i3 K+ Y  set heading best-direction2 ~& i1 {8 l/ _9 s; o/ q
end  v/ ?6 S- h7 N7 l5 ]

5 `/ f& a. W/ S4 ], W9 t
6 B9 u9 R0 M$ K+ [+ Yto-report grain-ahead  
* U8 a/ P8 H+ }, b  let total 0
3 |5 e+ T; w9 q3 V2 k  let how-far 1
- G% G( z) y3 _4 J7 l  repeat vision9 ^3 L' m( u% A( R4 h; w
    [ set total total + [grain-here] of patch-ahead how-far1 c$ n- z# T" o! j% s( F5 w
      set how-far how-far + 1 ]! ^) i& ~' H7 T% f& r) U
  report total
) I2 n$ [; @4 g3 cend
7 G: l& S+ U6 ~# j/ J; G5 U3 Y! d+ p" k9 D% C1 f* w8 f6 C6 I5 }, P
to grow-grain 2 D, |( m) N; W- ~. E
  if (grain-here < max-grain-here)
- K' Z) q7 \  l$ h3 a# z    [ set grain-here grain-here + num-grain-grown
5 p& _8 O: o9 N* k      if (grain-here > max-grain-here)
; z1 \9 i# e: T9 @/ o2 f: P& f        [ set grain-here max-grain-here ]7 f3 |4 Z* C8 U( {: @
      recolor-patch ]
5 U, I( Z4 n( U9 g* V* w8 g( \4 q7 kend
4 D# u/ H( ^1 U3 u" J. O  kto harvest* e. m/ f( a7 _- a5 U, q
  ask turtles
& C1 U. E2 @# J, {  X1 N3 F    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]+ {( o2 g0 w9 N; W. e* r% V- r
  ask turtles
( c7 C$ w1 S5 \+ I    [ set grain-here 0
2 e( V0 C: M8 q4 f+ P* x/ I      recolor-patch ]" I- |) x) g5 U1 R  O6 \0 S9 _" B; H0 T
  6 t2 ^6 N4 ^2 i9 w& \9 k* c
end
' L3 A/ v" C! u% u% C( I  t/ |
6 M$ [1 P" M5 q" K6 N$ {* Z: _+ Eto move-eat-age-die  7 s8 ^- M; _9 f" ]
  fd 1
. c$ b) v5 i8 O; n$ N7 k' c  set wealth (wealth - metabolism)$ b" P# F, f# o( Q! y% R
    set age (age + 1)
" }1 t7 k- C6 w1 a  if (age >= life-expectancy)( F( I) s' X# r
    [ set-initial-turtle-vars-age ], M2 L: X  `) p+ P! l
  if (wealth < 0)
9 z8 `' q6 h. K$ g+ F    [ set-initial-turtle-vars-wealth ]& i7 b' F2 k- y6 [. z
   
( J/ M- @) U* A4 z4 cend
' \# v4 l  m0 e9 d7 W7 Z6 E2 E& a, [+ P# [, ~

9 _. L( B* f. r; |. Gto setup-plots* F6 S: y; |) n: F+ i
  set-current-plot "Class Plot"
7 ]' n8 ]1 R1 V: N3 c  set-plot-y-range 0 num-people
8 z, ?+ J) O/ ]! P3 Z2 z( P0 u  set-current-plot "Class Histogram"
% v& M7 ]2 E3 e6 }  set-plot-y-range 0 num-people
$ P  x4 h) _2 d' ~* r$ l5 `end
- r5 e+ t% S- S# s" o4 J9 B, |3 K( V6 ?# w7 Q
to update-plots6 M) ~% N+ v4 }
  update-class-plot
2 G( o: e! J) J0 {2 T  update-class-histogram9 ^( o/ ~0 L9 M: n3 b  x
  update-lorenz-and-gini-plots
/ p  n) n- p. [: a, u8 M& j3 aend$ |' Y# z; W! ]
' V/ {0 L' a2 I7 m9 J9 X" k7 x
to update-class-plot8 f, q6 t  C; z2 V4 m1 V$ |
  set-current-plot "Class Plot"
) d: ?" u3 r9 F( E! _  set-current-plot-pen "low"
3 K! d) p7 |% V* Z2 b& K  plot count turtles with [color = red]# I) a8 d9 ?& Q. @7 Y9 T! ?
  set-current-plot-pen "mid", }4 t! x% n" Y; F: F3 L
  plot count turtles with [color = yellow]
+ T" \+ W9 ^8 y* h; M/ S  set-current-plot-pen "up"8 i0 z" f/ O6 [+ ]+ G
  plot count turtles with [color = green]1 Q5 g" h  u( }- g6 l
end+ l0 g: m6 G: u5 v7 p: Q9 N( B. a. w
6 v( \( r8 w- x9 L+ m& C
to update-class-histogram: n; {) D/ P6 E4 l. y
  set-current-plot "Class Histogram"& t2 t* r1 }% M* B( d+ w
  plot-pen-reset$ E5 s1 X  I: t: X- r8 \
  set-plot-pen-color red
. D4 p1 }0 E! T5 h) f  plot count turtles with [color = red]
- w8 }! }* R) a, W" \, ~  set-plot-pen-color yellow
& j8 c- v' b0 [$ D  plot count turtles with [color = yellow]
& H: O5 V" c5 [  set-plot-pen-color green
$ B! o9 {6 p5 k1 ^6 Y3 p9 x  plot count turtles with [color = green]# A# D' Z4 b3 V2 [) D6 h2 r
end; C$ s9 H6 \/ E4 D7 A. \9 U& p6 M* F
to update-lorenz-and-gini-plots. y6 d& D" b) W8 j1 {1 V
  set-current-plot "Lorenz Curve"7 D1 ?; Z0 o4 I4 i2 }9 N
  clear-plot
/ B# N4 m) O: @4 U$ R
8 H. n+ G( U( S8 {" J  set-current-plot-pen "equal"
. q, V  g2 v( d% ?  plot 0
5 h' \6 Y4 }& x8 ~# q  plot 100
9 E2 ^9 h: B9 B' j7 C
. l4 q" \) D4 t. A0 Z5 t  set-current-plot-pen "lorenz"$ A2 p- {8 k5 j! M) Y: I: \/ ^
  set-plot-pen-interval 100 / num-people/ Y5 Y3 c* ]) z* |
  plot 07 c3 E+ m  m( U5 A7 n2 p4 A
; H/ L! v! ]0 p: E8 h
  let sorted-wealths sort [wealth] of turtles" U/ G: U9 `* J; o( A8 Z  C' F
  let total-wealth sum sorted-wealths( @& \+ _) G: L
  let wealth-sum-so-far 0
% k! y* A, W7 b1 r  let index 0
$ ~3 j9 d# L6 F1 L& w; h& @8 [6 t# h' B  let gini-index-reserve 04 Y& Z" M- |. n' a( g
$ R' k' A. x# [# C0 T9 m
  repeat num-people [
# N: E, Q9 t$ a7 ~. M    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
" C- `8 M0 q# c3 o, ?    plot (wealth-sum-so-far / total-wealth) * 1006 E- n* x7 w. g: v5 X
    set index (index + 1)8 q' s) v2 Q  E% }: f
    set gini-index-reserve
& S9 ~. r0 p5 W9 k, A* E" Q      gini-index-reserve +% M& @# @8 ~" C. z: g
      (index / num-people) -
* @0 d& A7 U, z/ n, l      (wealth-sum-so-far / total-wealth)
- Y2 T6 v$ L. ]1 d  ]- A" C/ f; b& o3 C/ d1 I- d
* A( G3 D3 a7 ^
  set-current-plot "Gini-Index v. Time"
9 m( G: v+ v1 j$ B7 W  plot (gini-index-reserve / num-people) / area-of-equality-triangle$ {$ o3 V4 ^8 ^5 R# j( Z# C
end
# y/ h1 S( t2 @; s( p; [: [, r$ Wto-report area-of-equality-triangle/ S+ t  ^( h! H. U
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)1 P2 k" L; {8 T
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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