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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6 h: R5 }) `' D) S, R
globals; U6 x, K3 m4 F) q- ^  z) C$ y- X
[7 W* A1 C. r" f
  max-grain   
& q4 \8 d2 r! \+ ^: ]& ~& ]+ H: C8 a$ G7 l
]
" {* `  t) r8 Q$ b$ d0 ~. L! t5 q
- Z6 z. I" I% C& N& c* v$ |3 K# Rpatches-own
) f- W8 F3 q% G% |8 C# e. h[! @1 q% z5 s: A5 W) X/ M2 f! B
  grain-here      
) n8 v2 U& a. |  max-grain-here  
$ h+ e/ Y9 `  G8 j" L# g]5 }3 o( U# @: g+ H7 c* p
  _3 _  _% \" N& r0 a6 q( |
turtles-own
6 |+ i2 {' r+ a7 |- y[' [' h5 g) ^* j0 v7 l
  age              $ V3 h& V& |9 S1 d3 B0 f/ J
  wealth         6 P" u* \8 M2 U3 m9 ]
  life-expectancy  ( }( @- A; M. X' `5 L; p' h1 T, s
  metabolism      
/ d2 S+ z0 w2 K1 W5 ]  P- T- I  vision
9 k, Q0 I7 d& F% u  inherited         3 U8 ]2 O: z, e2 v1 K. C; e* K
]7 ?, F  P7 G3 ^
$ d' C$ d2 l' R7 }: V- ~2 U
. O: G% U7 C. M3 o. S
to setup
0 F) p9 t3 T! g1 |4 m, ^# i  ca+ w. i9 d) N/ h! E+ S
  set max-grain 50
' h2 J  I! s. u6 y  setup-patches* O+ E/ A) ?  r
  setup-turtles
" }& W, C* e: E5 J1 X) I8 ~) |  setup-plots
3 S/ j; S/ R: S- d  update-plots2 p- J5 u! G# g. n4 Q2 D/ O$ v6 n
end
# s3 n6 {; u5 l4 a; `1 o% y3 Yto setup-patches* w8 ^+ H: e+ X1 l/ ?8 z3 z7 J
  ask patches5 q5 f( K$ f7 R$ \1 b! |8 D
    [ set max-grain-here 0
4 [) D/ \8 |: R7 k      if (random-float 100.0) <= percent-best-land
2 n* R, A) B9 n7 P        [ set max-grain-here max-grain# X% a4 Q6 X  Z9 O- y
          set grain-here max-grain-here ] ]
7 G* g  S6 m5 a5 T* n  repeat 57 t; H; m0 m( e9 F$ v; f
    [ ask patches with [max-grain-here != 0]
/ i( J/ B9 ]$ f/ G/ l0 P        [ set grain-here max-grain-here ]4 O- I. W/ p( v- D. T& C! K9 a
      diffuse grain-here 0.5 ]8 v0 g4 \1 D, z
  repeat 10+ y' H, ~; u' |& h2 u
    [ diffuse grain-here 0.5]         
5 j+ p( a$ d$ X' L5 g' Y& u  ask patches
4 Y# t! \" ^: V5 G    [ set grain-here floor grain-here    1 H  z  k4 y0 b" H0 q
      set max-grain-here grain-here      5 A) I- e1 s( R" r7 @. ]9 Y* Y
      recolor-patch ]
' `) B! z; C3 J5 S  C$ ^7 ?. vend/ i8 l* ?* G8 q7 s( z9 n' r
to recolor-patch  8 T8 @- [8 C9 `3 }
  set pcolor scale-color sky grain-here 0 max-grain" Q# r! U: x! F+ Z  x
end
2 V  ?1 D! q  E0 Sto setup-turtles
( {4 N. c* N4 R0 N  set-default-shape turtles "person"
+ X7 t9 y1 Y- c; X% l0 X/ ~  crt num-people2 I& B! b' L7 Q7 Y2 c  L7 n& z" Y
    [ move-to one-of patches  
2 Q) U( c4 {1 B# o# N' ?      set size 1.5  5 m9 n" G2 X( J( d/ P, j2 i
      set-initial-turtle-vars-age& z+ b  }) i) U* ~% C6 r
      set-initial-turtle-vars-wealth" P) b2 C% f: N
      set age random life-expectancy ]. N( }2 ~: C- @. Z0 j! k- s! L
  recolor-turtles$ {7 [; d8 }1 O; b/ D+ O( ]
end
" M% P# ~, S: J8 w" F6 a) E1 h* ~5 b# e( I9 \2 I
to set-initial-turtle-vars-age5 F; Y9 B% x2 ~7 q3 q- [
let max-wealth max [wealth] of turtles6 a5 y' @3 G  N' ]4 B- `; N
    3 W( Y6 x) ^( d" ^' S
     ifelse (wealth <= max-wealth / 3)/ w0 e" a7 }; z/ ]  c$ f8 h) [3 y
        [ set color red
3 N  `2 z6 p' ?' q* v+ |          set age 0
& a' w$ [6 z& @/ Y7 Z          face one-of neighbors4 8 c/ B8 X0 k5 Z' p
          set life-expectancy life-expectancy-min +" o7 M" l* f4 k* X* {1 \
                        random life-expectancy-max / M. w& p) T9 n4 I5 S
          set metabolism random 1 + metabolism-low
* s$ v& ?0 M7 [  f. c# c          set wealth metabolism + random 30% N+ I9 M7 F0 o# F- t, U
          set vision 1 + random max-vision
0 g" S# t4 q( z. R' s9 Z             set wealth  wealth +  Wealth-inherited-low ]
% b0 }) @% R$ z) \7 O) n5 C6 V        [ ifelse (wealth <= (max-wealth * 2 / 3))* Q& S& g6 e0 {/ q: e8 I7 F
            [ set color yellow 2 z& ^* P# X/ d9 C4 n6 q; q# Z
              set age 0
$ P% d4 s# V: q; x) Z3 N! E1 n              face one-of neighbors4 . W: e0 o4 ?7 Q" I% O# N" M
              set life-expectancy life-expectancy-min +
* Y3 p! y& j6 ~: t4 I  c) w                        random life-expectancy-max + 1( a6 w& R0 u& L* e# g& a
              set metabolism  1 + random metabolism-mid
& m6 C( q2 B* E7 }0 g, W              set wealth metabolism + random 30
+ k% u; d" w: [% X              set vision 3 + random max-vision' j$ a1 U( ^; U
                set wealth  wealth + Wealth-inherited-mid]' {! t& q8 K! F+ Q  R
            [ set color green
1 S5 W1 b9 U) S& n6 g              set age 0: q, ]/ a, g- I$ ~
              face one-of neighbors4 $ \% z# ^3 ]$ {6 m3 P  i
              set life-expectancy life-expectancy-min +3 Q2 }, Z2 B+ `/ H) e+ S
                        random life-expectancy-max  + 2' H  W& K; |+ p/ N% B; o6 ^; Z
              set metabolism 2 + random metabolism-up
4 W0 q9 }5 m3 T+ T9 [' J              set wealth metabolism + random 30& e# [, A- c) j+ Q. R8 g
              set vision 3 + random max-vision
7 I/ K4 O+ h+ c* R+ k9 n              set wealth  wealth + Wealth-inherited-up ] ] ' w1 x4 T+ O4 V: i* K% _
- K- j1 U7 O- C3 c9 f8 f7 p0 O
end
1 q2 l% X# [$ X+ e* L# Zto set-initial-turtle-vars-wealth! P  {4 Z4 Y2 S
let max-wealth max [wealth] of turtles
2 e" a# M7 q  i  m& w+ d5 N          set age 0
: v) U% w4 N' B$ o, l' @+ B+ {          face one-of neighbors4
- |( j* Y7 \8 g( L6 ^          set life-expectancy life-expectancy-min +; t8 G( [* s) d+ G! W, d: G
                        random life-expectancy-max ' w6 |$ ^# i, W* |, X4 I
          set metabolism 1 + random metabolism-up8 I( ]' w* ]3 k# W: A
          set wealth metabolism + random 30: R" x+ I& ^: U: Y- K
          set vision 1 + random max-vision
+ d2 s' H+ j+ I0 ^4 p6 w* zend( ~: O( E# Z, O/ U6 n" u
to redistribution
9 z" {0 i- X. M. Nlet max-wealth max [wealth] of turtles; }+ V% I& U, y1 d4 W( B5 a3 l9 O
let min-wealth min [wealth] of turtles- ^0 p8 a5 m5 q5 E3 l. O
if (wealth <= max-wealth / 3)5 L* |* y0 q% I& m
[set wealth  wealth + Low-income-protection ]3 Z3 A0 y2 t/ r7 e& ^* y* K# K0 w2 d) o
end
3 U- T! B. Q: x8 o  R5 V& b         
, o  x, f, W1 h  H- z% `) L% y. l  Lto recolor-turtles
/ ?& v& f  g% z  let max-wealth max [wealth] of turtles0 x2 H* b: g8 ~$ E  q+ f$ L7 \1 ^
  ask turtles# h' [, {9 h. W3 c" D+ t
   [ ifelse (wealth <= max-wealth / 3)
, Q" J" }( f4 b0 I4 j$ g' g        [ set color red ]% t1 [0 j+ Q$ F0 o* M
        [ ifelse (wealth <= (max-wealth * 2 / 3))
# }1 d6 r7 h5 N1 E! |            [ set color yellow ]- u1 b& ^+ O3 t$ L" ]
            [ set color green ] ] ]
! }3 x3 t+ Y. L* K ask turtles [ifelse show-wealth?
% S% A; a( W" `5 u6 H2 A    [ set label wealth ]
+ j# Y8 B0 l& ]' \) R    [ set label "" ]]0 c" H! q& G5 p1 G7 S2 v
end1 B' a( Q& P4 P+ R

+ p% U; P0 y6 h4 v  E6 X: W! B( xto go2 m  T% J" j+ y3 r6 R- F
  ask turtles; B# v9 ~$ P# Y) r7 p$ o' K8 |; R
    [ turn-towards-grain ]  ! n& @9 ^1 k# J. ]& k+ O) r
  harvest: m* m4 `, B  ], F" J
  ask turtles
, G) @+ Q; M" Y& F7 O$ u    [ move-eat-age-die ]: Q9 X/ {( ^8 B/ B: x! t
  recolor-turtles9 X/ T* `  t9 h6 D0 ]: n" C- ]
  if ticks mod grain-growth-interval = 02 a/ G& K2 Z4 w% R5 p
    [ ask patches [ grow-grain ] ]" S7 v: @: s& o0 K& @% T/ O
   
% k% `! s3 b& d8 W$ a+ R$ V  if ticks mod 11 = 05 g, h: [% `: B8 n
  [ask turtles4 Z* Q5 o9 J5 W# m! O+ D
  [ redistribution ]]) x% G) A$ Q7 l' \) I
  if ticks mod 5 = 0. e  Y7 U3 ?% W; k" ]$ e2 S3 U4 d7 s/ |
   [ask turtles+ K7 K6 \, N& m7 n5 i. ?
  [ visions ]]/ o9 Y: x9 ]9 V4 x/ I( E
  tick5 x$ ]/ [- C# m9 S  g
  update-plots
: T% u/ E6 ]% E8 I$ Qend
7 U( D! W- E+ Cto visions- Y. x, W2 L- W% c& V& Q# f
set vision vision + 1
8 @2 h/ C2 A9 a- gend
4 A! s/ E+ [# W8 w6 K  f. y  U  |! n8 A$ ?7 C& L0 n) U

  d" O" @7 D5 L- v. N% x6 A- m/ U$ H$ e; l% T5 c4 y' x8 c
to turn-towards-grain  
3 A( a; k) R" A7 L) X- i$ C. `' j  set heading 0$ _, G8 v( x- z0 j5 a% M- L' z# q- e
  let best-direction 0; X) ~' v" ], X; N3 y" M2 N$ f
  let best-amount grain-ahead* |0 e) s- T: |6 {* ]! P: Q% }6 s
  set heading 90
9 S1 ]5 k) o$ @  if (grain-ahead > best-amount)
' f/ M2 N5 ?- w+ f3 n' c    [ set best-direction 90" a& P- P! [; X
      set best-amount grain-ahead ]. u* Z* z$ r, {
  set heading 180$ E+ M( X2 M9 J
  if (grain-ahead > best-amount)
  g0 h+ W  |/ n7 M: {    [ set best-direction 180) y, n5 O: E8 N7 O
      set best-amount grain-ahead ]
% ~' L2 @. `4 Z( Q# y$ T  set heading 270# r+ I: a6 C: @; p, J3 ^8 U
  if (grain-ahead > best-amount), J: R3 o) R& d+ I: \& f5 b5 ^) B
    [ set best-direction 270. P* H2 D1 D- f; w5 O
      set best-amount grain-ahead ]
9 @# r/ H5 p6 b* {5 C/ l5 a  set heading best-direction
  \0 s/ u8 |. F% L) jend
( c! [' z" @9 J, @0 ~: L3 v; O2 f( l0 F* J  F/ a
2 y) I0 `. a. y* L' A& U! K
to-report grain-ahead  1 G4 h8 a5 g  D+ p2 a; ^$ P5 z4 r
  let total 0+ d5 v/ R. n( W" V
  let how-far 1  V% j+ C, @9 Y( E7 p: \! F% P
  repeat vision5 s0 P) G8 D: Y# s; M/ \
    [ set total total + [grain-here] of patch-ahead how-far7 ~1 K! o4 }, R: j  A4 w$ j) w* W7 G
      set how-far how-far + 1 ]' q/ L7 z* p2 [8 [% K& {9 _
  report total
- J- y% p. F& p" B1 Bend- u+ ~" m* O$ `7 o
9 T5 t8 E  E0 F9 z: d1 h
to grow-grain : T1 g( G" K/ I, j5 i' b
  if (grain-here < max-grain-here)  s/ B, y' @' I" C. w  w: x
    [ set grain-here grain-here + num-grain-grown2 u( [, s* S0 x% g0 O
      if (grain-here > max-grain-here) / o' b* v# \$ F
        [ set grain-here max-grain-here ]# h% @4 {4 L+ B+ N
      recolor-patch ]% m& k/ a' B2 ?! Y" y/ d% k6 X6 q
end5 q9 Q$ _/ O/ z) S
to harvest" _; g( J, r9 J; y: i, X& N
  ask turtles; a  t/ e+ L  A$ I
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
- b) h8 q8 u  z( {* I9 H, L  ask turtles5 n6 |+ H5 E9 w2 }7 F
    [ set grain-here 04 I0 C9 q5 z1 j3 y1 B+ b
      recolor-patch ]9 h  E9 F. Q, V3 u' W; [! g
  
: w7 x+ w" C! L, a0 V* Fend5 v  y, M! g; ]# f/ _

* w8 m8 w0 r& hto move-eat-age-die  , C" G0 T. M* d* p. @# [5 x2 T- N
  fd 1) T7 y: H3 P/ B' V9 c: r
  set wealth (wealth - metabolism)' ]3 ]( C  |9 k+ }  j: i# I! |
    set age (age + 1)
4 ]& v9 N7 s) F6 c9 Q  if (age >= life-expectancy)- }# |9 T+ R0 z& x% @
    [ set-initial-turtle-vars-age ]
, Z9 J: y  O- n7 V& @, J7 g  if (wealth < 0)% J' A9 r% K/ n! A3 J; A. l! }3 g! N
    [ set-initial-turtle-vars-wealth ]' m/ Y0 L) f! D! L3 O) q' r7 J( x
    ) u( |& v2 x4 `
end$ w' f* c) O" M/ z& c

# J# z7 ^- W" i: m" m! Y; Q  C, b" o8 v8 z# r+ ]
to setup-plots
9 h* T1 b+ \; B8 Y2 M9 O# r5 y  set-current-plot "Class Plot"2 m: D7 i/ p8 W! u; J$ v8 a5 b: ?
  set-plot-y-range 0 num-people: _& H6 _8 f: r# A& H& |
  set-current-plot "Class Histogram"
9 R2 `$ B; v  y+ V+ S  set-plot-y-range 0 num-people
5 t- h) M& W  s9 W5 i$ Z0 W: eend
% O# f  K& V& k/ \% ]7 ?. k
+ F. l) `) ?4 W' A' j9 Uto update-plots/ Z0 w, v% ^, ?" u9 g% v4 D' |  V
  update-class-plot1 c+ t$ [7 O8 _' c. K
  update-class-histogram" q+ m/ J9 E% {- G& b
  update-lorenz-and-gini-plots7 E! \9 q" Z4 \7 A, U. I
end
& L% Y" Y! a; H3 n% ^8 p
* c/ y9 S# I; n5 Z6 pto update-class-plot& }( u9 C( b9 @7 x) t1 h+ b0 G
  set-current-plot "Class Plot"  H  m' r; v7 e6 V% s: V0 n% N
  set-current-plot-pen "low"
" h4 u2 T3 b: m0 E% B* V: ^  plot count turtles with [color = red]4 f( E% _! q: Z! }8 `& X7 x
  set-current-plot-pen "mid"
2 W" h8 j, D3 E  plot count turtles with [color = yellow]
! b4 s7 a- f6 T* a/ u0 A" P' i  set-current-plot-pen "up". X, A/ J5 Q0 C
  plot count turtles with [color = green]
( ?6 v! n+ T/ @3 b" m. Q/ ]& z  Send2 e2 j$ f! h6 [: {# i4 d: V

2 ]; z8 g# V" i4 Kto update-class-histogram
4 ~/ n; I+ T" \' R  set-current-plot "Class Histogram"
+ ?. K2 c' o2 Q9 ^8 O6 }( [  plot-pen-reset
+ S8 }3 |% Y1 ]" }  set-plot-pen-color red
0 S1 b1 Y& W  b- `  plot count turtles with [color = red]
3 s3 C1 g: y+ ^8 V$ C4 G  set-plot-pen-color yellow7 Q( W' R; _; r  P% k
  plot count turtles with [color = yellow]" U# l& d0 w/ v0 c. @( O
  set-plot-pen-color green
/ q- T4 [8 k: T' E  plot count turtles with [color = green]
/ k9 l8 l' z; |1 X( s: _) ^6 Nend3 c, X" p+ z/ Q: R5 Z$ h
to update-lorenz-and-gini-plots
" D8 Q' \" u& h5 d  set-current-plot "Lorenz Curve"
) P, C7 R6 x. |3 n% ^  ?5 e. F2 l  clear-plot: n% l! r! i1 A

" Y8 {! h' Z, Q: q+ |+ o( O  set-current-plot-pen "equal"
' e$ t) t2 q. F7 J/ U2 t  plot 0
; H6 e# b+ w, O2 ]% d  plot 1006 v  d$ i$ }. X

' Q$ H- V% [( V4 ^; B0 {8 h  set-current-plot-pen "lorenz"% _' `) I# F0 G3 z; y3 \9 N3 f& y/ @
  set-plot-pen-interval 100 / num-people
/ ~* o0 Y) a0 [  plot 0
2 z$ Q2 [+ z. K) t% g
6 [: h9 n# P+ y( `7 k  let sorted-wealths sort [wealth] of turtles
  L" N! g* [( n" t$ a! f, X  let total-wealth sum sorted-wealths
+ y( Z! ?1 E! O8 s$ X  let wealth-sum-so-far 08 h9 K7 p& ]' ~6 {
  let index 01 s8 R2 n" L* U' Z
  let gini-index-reserve 0
5 v. W  D6 t' g$ \$ _+ [4 b/ F& X/ _% Z
% M7 V9 p% Y% G6 g1 L  repeat num-people [" l$ i5 W, g3 w- y) g% g7 t
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
9 W6 l+ V2 U. C& w; ^    plot (wealth-sum-so-far / total-wealth) * 100. K$ n: [- L6 t5 {9 P! ^
    set index (index + 1)( Z- ]7 L8 D" o1 L7 s
    set gini-index-reserve, n2 u; T' E6 I9 N0 K7 U8 T
      gini-index-reserve +5 L; D* B& o9 u! x4 ?- J5 d5 `' H, G
      (index / num-people) -
! P+ d. F; X2 L6 Y8 p      (wealth-sum-so-far / total-wealth)
8 N3 u. a8 ]8 Q  \7 F  ]. r4 K7 S: q4 `) D

# J* R4 R  l* s9 o8 B$ g  set-current-plot "Gini-Index v. Time"+ i( A; s' G2 S2 n: m
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
' S3 J4 U* k( Y3 w; O3 ^1 Z8 Mend. i  K: d0 O% c- ~
to-report area-of-equality-triangle2 t1 g+ `: x% x, n# h; R# d
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
; N* m8 K# r$ X4 r( w* f3 s9 W7 @* pend
 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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