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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/ N5 J+ `# D0 h1 a. N
globals
" m& _! J' u( H4 g- L[
3 K! D& {( x9 j8 T9 N, [4 w$ _  max-grain   
# Z1 U% V7 \5 f* X+ g
9 A4 z9 m# y4 T+ q8 C9 E) ~8 r5 w5 X1 W]
3 ~0 s( ^$ L. P9 V, {: D) g0 Q, \  t8 O3 A; b
patches-own
) m* A$ s, {$ ]: \- C[
" B& P" I" q" H* a  W  grain-here      
5 Z! E" X; U) |. S  max-grain-here  & {  Z1 ^& V# b4 T& D& ]
]2 v0 T- `, Q+ s

* t2 j- g. O$ G$ j7 _) L$ \1 Zturtles-own
3 _; E( I# d$ [8 i6 `( b4 z3 }[" E: {# s* ^, Y0 @$ H
  age              ' B0 t8 f: `  l
  wealth         4 \/ L! K+ a% x' [
  life-expectancy  $ T( z* H! e, v7 j+ t6 e( E' c
  metabolism      
% M! N* _2 X3 r+ `5 r8 T0 J# P$ d  vision
! d7 X/ F6 ~( e, S/ c0 Q  inherited         
( c5 k6 l/ q  ^* M" t2 }& Q3 y" D]8 J: Z! ?/ b! l! m, H, w3 i

$ Q" f2 i" H6 N- y6 C% B0 u% }( R3 E' C* L
to setup
8 K! C4 W, e7 m# k5 j' ~  ca
- T( M$ v# b& E" N9 }5 q  H$ p+ S  set max-grain 50# j# H' z' T$ @/ K
  setup-patches7 B4 K% d% C7 P
  setup-turtles; T7 i6 A, }2 a+ U3 l( W
  setup-plots$ {0 ?  O8 i) i! a
  update-plots4 ^& R7 ^! Q2 I* O) \* }7 _
end; Z/ d  a5 j" }! L- }! d
to setup-patches
) u8 U; e  m  {5 R/ K4 p  ask patches
; G  l3 m) T8 \6 K/ @' O% I    [ set max-grain-here 0
% w* n2 b! E8 F      if (random-float 100.0) <= percent-best-land+ s) y6 }$ J4 ?; p6 w! A# i% E
        [ set max-grain-here max-grain3 g& i! T4 P0 W% U% s/ N
          set grain-here max-grain-here ] ]9 V7 [; B& x7 B0 Z0 K$ r7 f0 r0 M
  repeat 56 C6 s1 w# j) i/ b8 ~
    [ ask patches with [max-grain-here != 0]1 r7 Y* h& ^7 w- p
        [ set grain-here max-grain-here ]- x+ A6 Z1 @$ p  }+ m
      diffuse grain-here 0.5 ]
/ O) X% p. r- X2 v% y  repeat 10% O# A. t& \* N/ K' N' X, [" ?! S
    [ diffuse grain-here 0.5]          * F  Z7 G) _( T$ `# x/ @' Y
  ask patches9 R% D7 k7 f( v4 D8 O  G2 c/ f
    [ set grain-here floor grain-here    * ?- S, F$ s9 t, k0 }( F
      set max-grain-here grain-here      
* B+ h' |& ~& J* E- E9 k/ f6 ]9 U      recolor-patch ]  w* D5 j0 |4 X' X: ^6 ?
end
. J+ {/ @" w. n" h9 s' B& I- Gto recolor-patch  
% e* I5 v7 ]( a. x9 U6 T2 _# [  set pcolor scale-color sky grain-here 0 max-grain
0 ^7 i3 B$ K$ Q4 Fend" |" ^  U/ y6 S2 q) A
to setup-turtles$ q5 a: j( i: E
  set-default-shape turtles "person"
# \9 l: q- V; P( d4 F  crt num-people
, \7 f( r$ \3 K" l- [: N    [ move-to one-of patches  - D- m' h7 Z* u
      set size 1.5  : v1 H/ v( d9 A& ?/ N, x& v4 k
      set-initial-turtle-vars-age/ W3 ]6 z* v' X6 j  w
      set-initial-turtle-vars-wealth) w. X& K  \2 F8 d9 o
      set age random life-expectancy ]% b& B( s! J# V! k  x
  recolor-turtles5 J7 s8 w1 ]$ o; o% _; ~
end1 E& g8 U' G: W( c: b+ O
- d9 N# C/ ?$ z1 I
to set-initial-turtle-vars-age. ]3 q4 U( i6 K3 A) O8 J6 z: B
let max-wealth max [wealth] of turtles
" S+ V& P/ k% G: R( \; ]( _    8 x! ]+ u5 J; B% n
     ifelse (wealth <= max-wealth / 3)
$ J8 \) c3 z. a0 x9 q! \        [ set color red
' ]+ }- K. ~3 ], U- w          set age 0
' q( ?% W: S' b          face one-of neighbors4   P; d/ p9 L! o; S1 B4 u  K' x  |
          set life-expectancy life-expectancy-min +( F8 [, O& S2 W8 {
                        random life-expectancy-max ) @& k) r8 {! q5 V' ^2 n  g
          set metabolism random 1 + metabolism-low# [$ Y- c  f/ `# w1 P3 U
          set wealth metabolism + random 30
  |  g0 l! W% c( a; L& u/ ?9 a          set vision 1 + random max-vision
; Y1 `, l) H8 b# x             set wealth  wealth +  Wealth-inherited-low ]( b, \4 y# I( a/ I! ^" t8 J
        [ ifelse (wealth <= (max-wealth * 2 / 3)); g! L% i! z8 g' m! ?2 s
            [ set color yellow * @/ Z: t% f8 O5 c  _
              set age 0
- [0 v; l; W! Q6 H0 W+ O              face one-of neighbors4 7 F3 [, G& J& p7 i- K% h  I
              set life-expectancy life-expectancy-min +
7 ~, I: j* b. v                        random life-expectancy-max + 1
& ?& _- F* F0 j/ |. x              set metabolism  1 + random metabolism-mid
% y: S' O4 D4 V) I7 g: t- |              set wealth metabolism + random 30! T# n& |2 ^8 J6 {- m& i
              set vision 3 + random max-vision. h& U& o8 e* k% b2 o
                set wealth  wealth + Wealth-inherited-mid]
: Q, `* j% K( S. `9 J            [ set color green ! i$ _8 v+ p% }& v
              set age 0! A+ n+ r" s: `' i2 E- V0 {& B
              face one-of neighbors4 ) o$ ~+ M& T! W8 W9 }. q* {5 }
              set life-expectancy life-expectancy-min +$ G8 H/ n0 |7 D6 K( J3 V5 x* S- R" T
                        random life-expectancy-max  + 2, F0 K# L: E2 f6 P5 s3 U
              set metabolism 2 + random metabolism-up
7 \. S% \( C3 B1 ^" R3 G              set wealth metabolism + random 30# v8 `+ K# d  P& ~
              set vision 3 + random max-vision
" w2 \' Y( k7 [# v              set wealth  wealth + Wealth-inherited-up ] ] 7 u& o7 X8 U" F* ]4 Q# j

" g. @3 P% r/ m1 d  [end
4 ]0 t# H0 S) {6 Q/ x( D7 @( n" O% x6 vto set-initial-turtle-vars-wealth0 p9 _) b* O5 H7 m, f8 z5 j
let max-wealth max [wealth] of turtles
+ E* Z9 R: ~. \( o( u. q          set age 0
+ f0 g1 }" U' A0 n* |          face one-of neighbors4 ( B, G: [' j6 A% X3 M7 a) o6 }) ^
          set life-expectancy life-expectancy-min +
  n9 V& N, N! M3 I- E                        random life-expectancy-max ) C( l3 R$ P- g9 P% W/ e! }/ R
          set metabolism 1 + random metabolism-up
1 S" g3 W6 T$ X/ ~" I1 m/ O$ L          set wealth metabolism + random 30
- u: z( W6 U$ ]2 T, ^  X4 U# h5 Q2 i          set vision 1 + random max-vision ) r$ P7 D6 g5 }$ I9 Y/ X
end# y' n. ]# T! o+ c4 Q  p4 V  y
to redistribution
$ m1 T( K: @- ^. g; C' ^let max-wealth max [wealth] of turtles" u3 l+ p4 s7 Y
let min-wealth min [wealth] of turtles
- J2 T- J( `5 n' A) Q1 V! ~if (wealth <= max-wealth / 3)
$ ~# y3 W* B  m2 h [set wealth  wealth + Low-income-protection ]- c8 R( c! Z5 h' r+ ]: Y/ [/ |
end
  m5 o! m* Z# ?; i         
+ D. ^, ^  e* d: A) O* u/ Lto recolor-turtles
, v  s( P! V0 W, K& h$ \2 b& U  let max-wealth max [wealth] of turtles
5 S* Q7 |& Y9 [+ J# S  ask turtles
6 |6 ~! C( ~0 c   [ ifelse (wealth <= max-wealth / 3): ]. T/ ?' D- m0 ^8 J7 O7 k
        [ set color red ]1 G) R) c) X1 f
        [ ifelse (wealth <= (max-wealth * 2 / 3))
. V* D3 Y, R, e            [ set color yellow ]. u% d4 a* \5 F. h6 J
            [ set color green ] ] ]9 h9 x; K% A3 R7 |. V4 x5 _+ O
ask turtles [ifelse show-wealth?1 Q4 U* _$ B, D. D8 Y
    [ set label wealth ]
! ~' N: Q5 z& V4 v    [ set label "" ]]
9 z1 P0 F7 M; Y5 ]end
7 a- M5 x: `; b! s! ~0 C
" ~1 Z- C; x: @. D2 `to go+ l& c& u. w0 p. Z* R8 l/ `
  ask turtles. b- R* A7 P) i! L( s, D
    [ turn-towards-grain ]  9 j7 A8 V) Z' \/ w5 o: F
  harvest) W+ i0 I' M( E8 Z
  ask turtles! s% W- U2 z" y2 z: v  U$ O1 t7 m
    [ move-eat-age-die ]
5 t. w. U) ^: |+ Q# v, T. o  recolor-turtles
: o- s6 B7 d( j5 {1 ]: t  if ticks mod grain-growth-interval = 0; W3 \3 B$ R; K: x% z) n
    [ ask patches [ grow-grain ] ]; o0 g' K, R/ x3 I$ O/ D
   
: }0 J- \6 @/ m: J- g  if ticks mod 11 = 0
/ o5 ^2 G# b- j% r: |3 G  [ask turtles0 S! t& p8 Y3 V, `: X5 N
  [ redistribution ]]! J" c5 }  _. t1 K, D/ J' r, V  w' n
  if ticks mod 5 = 0
+ H' |- @7 ]* @" o5 L: v   [ask turtles5 i. N- _  `& ]
  [ visions ]]' l$ V  [+ l' _! q
  tick8 F; [* v& }2 Y) ^
  update-plots
9 ]7 }( g  j. u/ Iend: v$ a3 C" N9 |4 y
to visions
8 G5 U  _" @4 K; [7 g: v3 r1 o set vision vision + 1
! U* I* y; B* Jend- t. T5 F; X# }. H: z5 u1 w! Y
. d9 o+ q' U3 X( i

3 v, q# M6 k" |) Y
) k) Z; h" v7 y7 J, L' G1 Sto turn-towards-grain  
% F3 o1 ?. K; p* ]: s  set heading 0
/ }' P% M5 l' U7 n( d7 ]1 z  let best-direction 0
9 m( A( D* i% O$ j- C: z  let best-amount grain-ahead9 q! @( y; `5 ^; v
  set heading 90
/ k9 Y0 V9 V& R% e* Z  if (grain-ahead > best-amount)) l2 ~& A; e/ P$ D2 k, L/ S
    [ set best-direction 90
- n3 r; t$ R0 q      set best-amount grain-ahead ]
5 [8 m- v0 c, Q# m  set heading 180$ U# y1 x' |6 [) S; i
  if (grain-ahead > best-amount)
) o, P2 a) s) {5 ?    [ set best-direction 180
8 R. ~8 X/ m( G/ M  G      set best-amount grain-ahead ]
- q3 l% ^* \6 P; e  set heading 270* P; N3 c# m! q/ x6 H
  if (grain-ahead > best-amount)
: Y; b  ^1 ~. c    [ set best-direction 270( i" z9 ?6 l, k; X; ~* i7 {9 G
      set best-amount grain-ahead ]
( r; v2 M+ b& w3 X3 r  set heading best-direction. v: J( y) \* m, ]. l- y
end, [  j$ T8 ?8 a% q( U& x: `

3 ^# N; K  F- R) _$ \! U+ C" I6 h; n# t; Q: F5 n
to-report grain-ahead  3 E; A! d, K  M: j0 T& j; A( L
  let total 0
8 [# Z( j) P+ c, c& T  let how-far 1
; o% G. o( _- G* O# h  i  k! P  repeat vision( T/ H  j6 t1 q# k8 j- H+ a
    [ set total total + [grain-here] of patch-ahead how-far
. `9 I1 g% b2 B      set how-far how-far + 1 ]& S) h; \8 j7 }7 X  ]# A
  report total
3 R" V( i+ g9 U* F4 U1 ?% L0 gend
; d; A3 B0 v* K8 l6 ]# \  T8 D/ I
to grow-grain * a( f' j7 s) T# W& K* M# v7 U
  if (grain-here < max-grain-here)
; g+ r% m% G% H9 H# p    [ set grain-here grain-here + num-grain-grown8 v$ C/ O- Y$ E7 [% I
      if (grain-here > max-grain-here) 3 t/ z' V2 q3 K+ Z$ ?& A/ |3 l
        [ set grain-here max-grain-here ]
0 }  t. K  @/ g! g# o" s      recolor-patch ]) m$ `- A8 s/ t9 E8 m
end% L' l7 D4 |8 m& U' b' c
to harvest; d  h2 \7 l9 O/ q0 t. T
  ask turtles
4 F+ y. W" ]. u    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
1 ?* q. t/ f9 F& X! Q$ l  Q  ask turtles
6 Y" i3 q& |6 x7 D6 @    [ set grain-here 0
0 i# Q% u! ?( v7 |) R      recolor-patch ]
$ K1 t8 [2 w/ J  u  
5 h6 t( D" s7 u0 Qend! F2 i) L  _9 j8 ^0 r+ I& B* h

+ U* y7 O  |$ `5 w, G) z! wto move-eat-age-die  
" ~! X9 z! W; w0 U% I  fd 1
' s# B# F' R! @8 U  set wealth (wealth - metabolism), n+ }$ J% {7 q; A- @
    set age (age + 1)7 [* E: z5 @( a- P
  if (age >= life-expectancy)( u+ v/ U2 t$ w
    [ set-initial-turtle-vars-age ]
" ^7 T+ k* o* ]* m  if (wealth < 0)& ^" ?- g$ d6 j" V% h! F$ c7 g
    [ set-initial-turtle-vars-wealth ]1 d2 j! z# R" B6 _
    5 G  q, ]4 C* y8 h
end
, d4 P5 X$ J& D0 W. N; y( v3 G( n
* N0 j5 H# z6 _2 ^% b7 z+ ]
8 k/ X& L/ W$ }0 Eto setup-plots
! m5 [$ _# v- l8 f: q# g& @1 ]# s  set-current-plot "Class Plot"
& d/ H. w' O  U: f! G  set-plot-y-range 0 num-people
6 R* y9 B* c/ P  set-current-plot "Class Histogram"/ V( S- }( `* U, E2 M9 W$ k' N
  set-plot-y-range 0 num-people
/ i5 }7 s; _, t; \end/ V1 O( W, t4 d% v. L& m( H( R" E
) W  R$ a8 J+ ~' K6 Q* C
to update-plots0 w5 X" b* Y% W% F8 S' Q
  update-class-plot
+ P* V6 U" |* U! T  update-class-histogram
5 R7 H) T0 K4 b/ \# I  update-lorenz-and-gini-plots5 d: R6 i! C9 f1 `
end6 S2 [6 R8 p; j3 `- O
4 I" Q. U( y7 @9 [
to update-class-plot$ e  U( p( Y* L0 F7 `0 s
  set-current-plot "Class Plot"/ l8 k6 p% [# e$ a6 H
  set-current-plot-pen "low"
8 C& s& t, }! }, D+ J9 C4 F  plot count turtles with [color = red]4 u/ W' B7 T- p+ g; o
  set-current-plot-pen "mid"( t+ @3 S4 k$ ]" r* v0 Z
  plot count turtles with [color = yellow]% a7 A; @+ H. o9 E# S4 P: Y# \
  set-current-plot-pen "up"# [( @( f+ X6 a1 E
  plot count turtles with [color = green]  \/ @( K, ], d% B9 e9 w
end
6 R& o) R; T  O0 f8 J4 b
% B! C9 i5 }; z2 Wto update-class-histogram
$ t+ h2 Y4 S3 L  @: F4 y3 Y  set-current-plot "Class Histogram"
8 e- ?- F1 V: q6 k8 d6 m" Z; s4 i  plot-pen-reset' h3 C: k/ r7 S  m' u( r
  set-plot-pen-color red
3 ?4 V1 y7 T/ K7 `+ x; z" e  plot count turtles with [color = red], K  o' q0 ?) q) N3 F4 Q1 @; R$ A; K
  set-plot-pen-color yellow
( b/ C9 ]& a& W1 }' C  plot count turtles with [color = yellow]
! P8 I& h8 i( v3 U" K- H% `& E# U  set-plot-pen-color green, v, `8 G9 ]/ j/ x; F1 X
  plot count turtles with [color = green]0 w1 n6 }. E4 G' t
end1 [  X& Q  H0 M6 Y9 T
to update-lorenz-and-gini-plots( V3 }9 o# D( b3 ~5 E! `0 k
  set-current-plot "Lorenz Curve"
& |0 z- C1 e3 e  D- _) T  clear-plot
4 k7 ~- n$ R* Z7 w* U/ H( \5 W" A6 o+ R7 `4 A8 s2 e
  set-current-plot-pen "equal") I- p( T8 p3 K" \2 p$ Q! Z
  plot 0
; ?$ o7 V9 ?( q4 T" g3 o  plot 1008 P: e; a+ ]7 Y$ }

2 o' D# |5 L& F- C% _: Y8 c' U  set-current-plot-pen "lorenz"
/ s* [8 e& M2 @- \  set-plot-pen-interval 100 / num-people; ^* b; j( f( @
  plot 0$ n4 x5 M3 n* Y6 v
/ C# E* S; h& F
  let sorted-wealths sort [wealth] of turtles2 ~! ]" ]; q' Z% U3 n& ~/ L
  let total-wealth sum sorted-wealths
% F8 i+ x  K# L+ P6 @' W  let wealth-sum-so-far 02 R: _0 ^2 F$ X. T+ N
  let index 0
) m  a" w- T( V) ~) ]3 J- \9 u  let gini-index-reserve 0
2 b3 D  s6 c  A* y. `+ x0 |$ m" |$ W9 K5 |% j; K
  repeat num-people [) u5 j9 T" V! `: ?* d" V( v( A
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)0 v+ G; A- i" @# {3 p1 T; b
    plot (wealth-sum-so-far / total-wealth) * 100" ~& k3 S: w5 W3 D5 v4 ~* e
    set index (index + 1)
4 ?  ]$ a* N/ l    set gini-index-reserve; f. ]( a3 w% P, p# J6 o. N
      gini-index-reserve +
* l6 `0 M6 V. s0 A) d$ h      (index / num-people) -
; P4 O- I8 S9 l( x      (wealth-sum-so-far / total-wealth)6 l& n0 z3 Z- c6 Q
  ]* @3 q! V1 S9 n
; Z! g  I: a; I$ \
  set-current-plot "Gini-Index v. Time"& f+ O* q' ^9 b. |! _5 ]0 s( m2 b
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
' p1 U! Y! j& ]6 Y: {end
8 U5 [! ^" r9 _* \6 ], {+ Kto-report area-of-equality-triangle* o5 C# W' s( p( v2 G! |' l7 H
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
5 I6 H" U* m) J; J- Z4 v8 oend
 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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