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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
: K1 L5 A; |" b( [# Q4 [4 ?4 Sglobals
3 W. A1 u& B+ ?% ?1 _$ Z& i9 c3 P[
- F% l) j, p$ `6 _* {: @  max-grain    ; ]8 ^2 ?7 V9 p# x4 j$ b4 z. U

  `/ s  n# J& X+ n& v. f; s]4 a- I$ E0 Y3 }% ^; r* [2 C

8 r' L& ^6 h: g! n0 P3 _0 y9 {+ tpatches-own
! @# O5 u3 c" V[
! w" F. U5 ~( P' ~- O" @5 S! @  grain-here      % S8 j) g8 e7 h  p
  max-grain-here  / a) T( v8 t0 F+ U: z
]
( z( O: P+ s  r9 e$ N9 K2 [
" H3 q# k, ?6 `# Pturtles-own6 t8 p5 D2 d3 @8 ?0 P
[
  v  J- n# E# S1 C: A+ E  age              8 ?' }% u- e3 x% w2 A. Y* P' O
  wealth         2 V& D5 Z0 U, m2 L& j' D) K
  life-expectancy  
9 s3 ~" I) F) G' `# [& Z  metabolism      
4 W2 e$ Z0 R& L9 H% y0 F  X  vision
! l. K  g" ?8 M! v  inherited           d9 J- K4 b: D; @5 K5 m4 J) r# }8 F
]
. ~6 r( s2 \, p, }: T7 e+ g5 w% j
" y( ?3 m6 l6 W" b
to setup
0 P/ W! R$ ^5 b" `( s- r$ w  ca
  J9 U& O# a' w$ |7 ]. q9 o2 ]7 n  ^  set max-grain 503 i" w) }* N8 O- E8 B
  setup-patches# Z( u$ _* ]! C/ f
  setup-turtles
. m1 T9 ]  M7 c+ @  setup-plots  i; L7 A+ P, F
  update-plots
# [' V7 n- @$ Wend
' b' d  h9 p1 @; n: uto setup-patches) U: q5 l, V# x2 P. K3 e
  ask patches
+ o4 J: x7 U$ S    [ set max-grain-here 0( l! M  s$ W: ?
      if (random-float 100.0) <= percent-best-land' k4 w* q0 f) g1 t7 e
        [ set max-grain-here max-grain
# P" i: ~. x0 }6 G9 f7 z4 Z, h$ y          set grain-here max-grain-here ] ]" _% X- G+ L) e3 \& T2 ^
  repeat 50 t$ [/ F" |2 F! W  b
    [ ask patches with [max-grain-here != 0]
, l, Z- t" d+ I        [ set grain-here max-grain-here ]3 H4 i; j! d2 @
      diffuse grain-here 0.5 ]  P* p; C6 N6 Y$ r
  repeat 10" l9 S6 C) U& [" m2 s
    [ diffuse grain-here 0.5]         
2 W0 W5 B. k( r9 @$ \% T  ask patches
! ~4 b" b3 ~5 }( f    [ set grain-here floor grain-here   
  X" A; r$ Y8 g2 |+ h5 Q( N      set max-grain-here grain-here      6 a: `0 v$ h2 p: L+ G
      recolor-patch ]
! T  _9 x3 C# W3 Q6 ~) A& L) dend
* K! _$ m' l/ ?0 J6 D; Z! m* oto recolor-patch  
2 x4 w) L5 D( f: c' C4 b  set pcolor scale-color sky grain-here 0 max-grain6 u* ^5 {* i& w: I9 ^8 d! N& ^) Y
end- K3 ]6 D3 M9 ?7 V0 }& l
to setup-turtles( u* N9 h. L5 I( M* f5 S
  set-default-shape turtles "person"
: z  z9 y, o7 A) H  crt num-people
9 u/ ~* u" W6 d8 d1 `) n  Q    [ move-to one-of patches  ( T5 M- s$ Y9 K$ Q
      set size 1.5  
+ j4 ^& J; [& j( q4 y      set-initial-turtle-vars-age
. B' o7 t" S8 }9 l! N1 ^$ ]  S) C% N1 K      set-initial-turtle-vars-wealth8 R/ V6 j; n. b) p
      set age random life-expectancy ]( T# z8 o  N8 c1 x0 Z% |
  recolor-turtles  A5 Z$ `5 }0 l; h
end. v; [% t% \' P
1 O) K: Y. Q3 K& m- I0 K# i
to set-initial-turtle-vars-age
( I7 ^  c7 [, a let max-wealth max [wealth] of turtles
9 Q% ], ?6 `+ M2 O   
  E: n% c; i- L: Q     ifelse (wealth <= max-wealth / 3)) W) p/ m$ J; ]  ?# w
        [ set color red " U7 y0 `( o5 p. n- u; p7 Q8 ?
          set age 0
2 R& y* E$ N5 D0 J* ]: S0 r          face one-of neighbors4
) N- P# Q% U8 l8 ~  [          set life-expectancy life-expectancy-min +; |2 ^& K& O0 {# ^' t
                        random life-expectancy-max
( O. p0 w" M; H          set metabolism random 1 + metabolism-low
% l& m8 Z& N) l5 ^* P5 k          set wealth metabolism + random 30
! q# d) f% ^) m: [& D* f" w          set vision 1 + random max-vision
6 f  M* n9 A$ ?) i             set wealth  wealth +  Wealth-inherited-low ]
0 E; w. T9 n9 o- p- f        [ ifelse (wealth <= (max-wealth * 2 / 3))
( y4 A$ H! e6 S! {& B: _5 ]2 r            [ set color yellow
6 |6 A8 Q, ^$ f( H. x  y; v, f+ ?              set age 0
3 }+ y2 Z( U7 j* e              face one-of neighbors4 & G8 b0 a0 D$ g0 G1 j6 K
              set life-expectancy life-expectancy-min +
- D5 ~8 K* F1 z4 H                        random life-expectancy-max + 13 h# X" f6 W1 e0 Z7 \
              set metabolism  1 + random metabolism-mid
+ i* y. \  j8 s2 m' W' e- V7 P" g4 z              set wealth metabolism + random 300 y4 y& Z! W: e2 A' q7 V' f% D2 h
              set vision 3 + random max-vision4 V+ v7 g1 F/ Z9 v+ t
                set wealth  wealth + Wealth-inherited-mid]
. ^1 X; V& W" ^6 ?7 q            [ set color green + h. n$ j0 s* k0 v
              set age 0. a3 ?: U0 Y: s7 _  Y2 k
              face one-of neighbors4 ; m& x8 y$ O. j6 [+ `& w" |
              set life-expectancy life-expectancy-min +
+ U2 D* o8 |. ^7 c1 _                        random life-expectancy-max  + 2
- r/ r% ~: k5 I8 J- h( @, S1 p              set metabolism 2 + random metabolism-up) }: L' r/ ]- g6 L, F1 ?  z$ z( F
              set wealth metabolism + random 30
" V/ K8 N/ \9 y6 W( L2 [! G5 s              set vision 3 + random max-vision$ j- T8 z% W7 v( p/ p
              set wealth  wealth + Wealth-inherited-up ] ] 6 j: P, d9 l4 ]) `1 C2 ^
+ ~+ n* X1 I- U0 k
end& k* `  D+ B! L2 \+ t  ~
to set-initial-turtle-vars-wealth
: M5 _& L9 n, x, h3 Y4 D9 d8 b let max-wealth max [wealth] of turtles& Z& p0 _, k" \$ t' w* m8 S! u
          set age 0
4 {6 X9 O! [9 x+ @5 M6 a          face one-of neighbors4 - {* Q! r$ B, X) f
          set life-expectancy life-expectancy-min +( a5 |- S9 c" O/ d
                        random life-expectancy-max / t/ D/ z$ b+ \1 l% p  `( c
          set metabolism 1 + random metabolism-up
3 E- e7 C/ [2 h. ?# X( S          set wealth metabolism + random 30' @+ {& m# T3 m- X* Z5 k
          set vision 1 + random max-vision 0 C9 t$ b9 N* F+ J  v
end
5 x, `' F7 o, x) K& ato redistribution6 A6 q! ]( s- u0 f
let max-wealth max [wealth] of turtles
, c0 ]1 F" J! G. ?let min-wealth min [wealth] of turtles* r3 o8 u; `! f! z
if (wealth <= max-wealth / 3)
" q. I% }- s7 {/ C- n [set wealth  wealth + Low-income-protection ]
2 I" [9 ~' `. x. p$ Z# V# W1 Jend5 d9 M4 `  g0 V: p- [
         
* `/ P! ]  s& m" j* g: ito recolor-turtles
8 e' S9 }6 @* c  e( i  let max-wealth max [wealth] of turtles
0 c* r% R& m% O3 ~( p! u# {  ask turtles
8 d* m" f" x7 |8 t/ \3 c   [ ifelse (wealth <= max-wealth / 3)
0 e! a5 r8 j) R& g3 _        [ set color red ]
& t9 C: i3 n- B9 H        [ ifelse (wealth <= (max-wealth * 2 / 3))2 K5 Y) W, D6 E: H$ G& M9 X/ R& j
            [ set color yellow ]
+ ]9 n5 r. H5 S6 H/ v: O1 r            [ set color green ] ] ]
! Q3 w4 u/ X; ~$ a ask turtles [ifelse show-wealth?
* S/ V* m* ^! w8 p    [ set label wealth ]2 B$ G/ `  t7 Q/ L6 q3 z1 T
    [ set label "" ]]
- u" Y# {8 c- E9 g3 q0 r! d, Aend/ n2 J+ q! t. ?6 O
% f8 [3 w/ A8 B' J
to go
6 N2 H: H% C* n- _. D7 s) U3 l  ask turtles
; P* B8 ^; h2 u  q( c6 F    [ turn-towards-grain ]  ) y5 Q* m1 ~4 y4 d9 X4 f: V
  harvest
0 u& w! p$ L& ?  ask turtles
9 @2 T! i# h) l    [ move-eat-age-die ]1 R& l' n- S3 a$ Q/ ?
  recolor-turtles% D1 w3 @6 p5 W
  if ticks mod grain-growth-interval = 08 V6 o* e! Z4 E/ R
    [ ask patches [ grow-grain ] ]
: m% u" b' Y* m" l   4 `* w, P& [; ?: g' U# x0 T
  if ticks mod 11 = 0
" D3 U7 i, B+ t. c3 {- F  [ask turtles, L  B$ |- _& E" m
  [ redistribution ]]) K% P# u. v' e% f
  if ticks mod 5 = 0
; V6 r% m4 W% N$ o) M4 i   [ask turtles2 b7 Z( d6 e" V. Y8 y4 d& j  U
  [ visions ]]
( I6 \9 g4 Y$ ]" |% |  tick' i* W' L+ M" C/ h0 V
  update-plots
. w/ i5 s8 C# T! j7 H: dend% b7 c+ Z5 i4 Y5 C: o! M
to visions
/ n( U% z( Q/ f8 g8 @, b set vision vision + 1 - z1 R% y* j9 g" ~3 u
end# j. {1 |$ p  }! k

! w6 v* y+ u0 ]0 g7 o* k! H$ z9 r( z
9 y# g# n/ h+ r1 j9 i! q4 a
# _# C* v( ~+ y! X- }to turn-towards-grain  
( Q. ]/ k* B! A) Y3 r  set heading 0: G* s% P* v! h9 `1 ]. ]7 n( G) [
  let best-direction 0
( D8 p5 O: A6 T  let best-amount grain-ahead* W+ M4 z/ u  V3 S; l4 N" {
  set heading 90& ^+ {8 p$ \7 D  q: B, N: ^
  if (grain-ahead > best-amount)6 W1 d  U' M6 x4 x% i+ e8 f  z
    [ set best-direction 902 c. h3 [+ }0 `" Q  a9 g" s1 d; |
      set best-amount grain-ahead ]
( P" G. V% b6 \& S( b& _6 ^0 Q  set heading 180
) g$ a0 k4 [# p- K# W  if (grain-ahead > best-amount)
% t. ?0 B5 v+ S7 f- L    [ set best-direction 180/ a' R6 h6 G+ W, ~1 U$ U
      set best-amount grain-ahead ]! ~! I$ `+ V0 }
  set heading 270
& Z6 E+ X* J) ]6 r- o$ H  if (grain-ahead > best-amount)
$ [! \: n  N/ Q  Z    [ set best-direction 270# {- ]8 ?  a- X7 g5 Z9 x; W
      set best-amount grain-ahead ]
' \: i* a) g/ B5 {6 f7 _; Y  set heading best-direction6 r8 _! y6 h$ \& v9 B* t
end( a2 Y+ ]; b: {9 Y2 @
  I" Z2 j- P) H8 F0 J5 U' z
3 i6 P5 b' A) U  K
to-report grain-ahead  
$ s5 w! k  N9 B0 g  let total 0
1 \$ U% [0 R' k5 N" O0 t* v) p  let how-far 13 _, j( ~5 N  |' C/ P
  repeat vision
7 T* u3 T1 n" V8 d$ u    [ set total total + [grain-here] of patch-ahead how-far& k, b% ]5 ]& n; X+ ]6 I6 b
      set how-far how-far + 1 ]
3 I: u1 _" [3 ~- m% A3 g2 m7 h  report total( ~3 w6 K2 X! W* U6 u2 I4 A
end
6 z  a; n6 i- ]0 w6 ~1 L, Z, f* X1 U0 s2 |' c  x. F$ _  [
to grow-grain
+ Q. h1 h; Q/ C4 t# n* H  if (grain-here < max-grain-here). t. n7 P7 a8 o, U4 k2 D4 f
    [ set grain-here grain-here + num-grain-grown
& h, S8 i( p5 r1 b7 r      if (grain-here > max-grain-here) ' S( D& J5 ^4 H
        [ set grain-here max-grain-here ]
5 r! X6 N9 C. d+ g7 O- \1 C! r/ Q      recolor-patch ]
2 O) |1 [8 _5 ]end
4 @% z5 o% E7 Z# p1 t- h1 I* Lto harvest/ n. ]1 U3 i1 ?) e( A. V8 I! @5 X
  ask turtles
* o$ ^, P/ U5 R; K    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
7 l; n$ ?) @: ]& n7 T! r  ask turtles4 M- Q2 v- r& J/ ^$ T9 W) p. ?
    [ set grain-here 0
* v9 b7 a, P" c( [1 y3 M      recolor-patch ]! @# N% U* N. J  A0 T
  
9 E5 b" f  o5 M& t! I0 N6 fend
7 P, E; \& {1 w8 T! T: ]4 k9 z% }, v. a- V( @% Y
to move-eat-age-die  
7 a7 N4 H8 a+ u8 v+ ]' C1 m6 W  fd 1% \+ v- x% X4 S4 u
  set wealth (wealth - metabolism), b, Q: L  B3 M, g$ d
    set age (age + 1)* c/ ^* \& t+ Z
  if (age >= life-expectancy)/ V% x- b8 }, ?. I& F8 }
    [ set-initial-turtle-vars-age ]6 P4 M5 ]+ p! @/ B( ^0 }
  if (wealth < 0)
! k! B3 U/ n( B7 B    [ set-initial-turtle-vars-wealth ]
- W0 M/ F0 T( k    " r0 f7 X- v" v* j& {. {
end
; O8 Y/ D" H' S7 w) A' p) @' i
! d  c0 L" c  N' N8 u
; a# N! {( n* [& z* Uto setup-plots- M/ K3 x( g, r
  set-current-plot "Class Plot"
* ^0 |5 m. P3 _, W% p3 `4 z  set-plot-y-range 0 num-people
% n# O# ^* _" j3 t# R/ C: _& ]  set-current-plot "Class Histogram"
3 T2 Q3 q  _& i2 h/ v% X/ n0 E  set-plot-y-range 0 num-people
: X7 h7 g# |: f$ ^5 uend  N$ G8 _% {8 n2 _) k6 D! f$ D' q  W$ P/ D

2 u. W- D/ [2 g1 t3 W" b' vto update-plots2 t7 x1 u* c) t9 R3 W4 }) C
  update-class-plot" n+ F6 w( O7 ^- Y* u
  update-class-histogram
3 P# l! q8 T6 H/ }5 t7 ~% M& A( p  update-lorenz-and-gini-plots
  [$ ^& ~  e2 ]! jend5 S! j8 f7 l2 X7 Y
% |* z; ?: z: o
to update-class-plot( e: A0 A9 ~% B9 ]: o% f( p
  set-current-plot "Class Plot"
5 S& Q; r6 V# r( _- w5 @2 b) f  set-current-plot-pen "low"; L$ v0 O( R7 I! u6 h& s
  plot count turtles with [color = red]4 I2 p, ^0 R# N' i( x% v* p
  set-current-plot-pen "mid"8 y2 Z$ k. g9 Q3 D3 T" d: `2 e- f
  plot count turtles with [color = yellow]
4 r8 h: q/ P8 o3 W  set-current-plot-pen "up". v! k  T/ ~; w& _/ p- L
  plot count turtles with [color = green]
1 j4 w$ g% i2 r$ N7 Iend! k- ^! [4 t: D' y% \

6 Z6 I+ B6 n3 u: ^) bto update-class-histogram% x5 H/ j1 _" K' |- r
  set-current-plot "Class Histogram"% T: c" k5 D4 ^5 H
  plot-pen-reset
" n6 m( v- x7 v- Y! b  set-plot-pen-color red
7 a( `! t# I. Z, K  plot count turtles with [color = red]
. s1 H- K7 x& W1 X. i( [$ h  set-plot-pen-color yellow1 e4 o6 C1 p7 e: l
  plot count turtles with [color = yellow]
3 a- v" k& {9 @( B  T/ o  set-plot-pen-color green* m; e. `$ _$ t
  plot count turtles with [color = green]
8 ^5 e) J9 U2 \, o& ?& D; yend! ^3 S/ h, r+ Z) Z: s
to update-lorenz-and-gini-plots: p; w) x7 r4 L8 x! R- N( E$ p
  set-current-plot "Lorenz Curve"8 S( c$ K* O1 j# D. D( J
  clear-plot1 ?" ]6 x) S# M) V% l  {7 _
% T. d' T* h0 Q- O* ~
  set-current-plot-pen "equal"2 o- D: E9 `: q( a. T# h
  plot 0
& P7 v# ^1 t5 m$ Z  plot 100
3 K  D, l: }" W& x  r) g6 f/ ^0 u" n6 z+ ?
  set-current-plot-pen "lorenz"
4 ?' F* P8 ]3 D# y  D  c  set-plot-pen-interval 100 / num-people
( o* q6 g: D9 Y+ s, Q( i  plot 0
2 L: P7 j$ z( ^$ c* I
/ F( o* r" c2 I2 g$ T  let sorted-wealths sort [wealth] of turtles
' S6 d: [% M3 H1 S- S4 [  let total-wealth sum sorted-wealths
3 \6 |0 y$ a' j) j4 [  let wealth-sum-so-far 08 l: q0 e( n/ s- X! y
  let index 0. U1 {1 n- P' ]7 S0 K9 T1 o9 G
  let gini-index-reserve 0
; Z# W* ~. v5 e  |5 q+ U, k! ~% I, ^  U" v
  repeat num-people [/ }! u# @2 {1 m7 \. A3 R3 I
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)/ h( A5 W6 c- @" c
    plot (wealth-sum-so-far / total-wealth) * 100* o- A: K( d0 V9 m
    set index (index + 1)
: v8 u. ?! [# A    set gini-index-reserve( b1 p& G  \/ T8 F2 o
      gini-index-reserve +
( c$ L! u2 E' i3 K1 K5 T      (index / num-people) -! e8 a1 Q! H2 c+ e
      (wealth-sum-so-far / total-wealth)# P; S7 `! ?' Y+ l
  ]) ]" \# a6 @! i3 G9 v* i0 m0 w
: I, ^9 y2 R0 `
  set-current-plot "Gini-Index v. Time"
7 @" g. ^( s) z  plot (gini-index-reserve / num-people) / area-of-equality-triangle
% f0 {/ @# ^3 E9 N( `end' b7 \4 K8 S& m4 B4 N
to-report area-of-equality-triangle, |' N. Z0 Y$ ^. t
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)0 r0 ^. p/ }% u/ u
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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