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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
0 A5 x8 X, ^3 y' Dglobals7 S* X: M( |" c
[3 ^+ O/ E( i/ i# V, B+ j' a2 F- n
  max-grain   
' L$ p( F! X  W$ z2 X; g0 `, \+ c& C
]' ?: |. y5 h( e6 C8 }8 |
3 O/ w* a4 X- r' g+ Z2 f# m
patches-own
: t# R) j. h2 \3 j" ^1 _; X2 \[
: p, ~1 ^' I% b' ~  grain-here      
0 N0 C2 v, a  c  max-grain-here  . `3 r& X: ?$ j/ }- }" [+ N/ e& b
], C/ ~, G; ^+ i& e3 Z
% x" o$ }% `0 q( }0 L4 o) [' U
turtles-own: ]& o4 A/ B" R8 Q, l. M1 S
[
( M; c) D6 _& ^4 i( V9 q5 B3 Z. b  age              
+ R; r/ q) Z* a' x0 ?1 F  wealth         & O% k4 ^! S+ B9 x6 R. Z5 i6 u7 T
  life-expectancy    N6 T1 }+ u, C  [: J% n
  metabolism       4 I' k0 P) m2 d5 x2 Y
  vision
/ e* o- b3 d" d  inherited         8 s. Y7 H9 p) w
]
# o$ X3 \: t% L. |3 G8 }9 o8 _. A, N

9 i* c, Q3 H) x; d* i  ]to setup3 b: m* U& [+ E/ r& P, |9 Z
  ca
: o) q5 B$ Q, Q  set max-grain 50, ?# v+ P7 n" e6 K
  setup-patches
, g4 w4 E+ ~9 r% `  setup-turtles( q/ q2 P0 o2 U; W7 n1 n$ ^6 \3 X
  setup-plots
" ]# k1 `. n( m3 u) U; h1 i4 J  update-plots
1 t1 z0 x% F+ |$ p1 R! w4 s! Gend% h$ J7 ^9 D3 t  m0 |! W% g# [, H$ |
to setup-patches( W' v3 _# E2 x  _0 S5 V* p$ v
  ask patches1 J& b6 `8 g% [2 |! z* }
    [ set max-grain-here 0
% e* t" i+ }6 X' O      if (random-float 100.0) <= percent-best-land5 x* a- H- C& u
        [ set max-grain-here max-grain$ ]3 _/ q3 R7 y; o1 P/ l. j
          set grain-here max-grain-here ] ]
3 K& c& H  {2 u  repeat 5" c- q# D8 g2 C; D
    [ ask patches with [max-grain-here != 0]# `( A- ?4 D* U7 y8 _' ]9 Q1 Q
        [ set grain-here max-grain-here ]  c3 W: z1 q4 E! H9 M* M7 S
      diffuse grain-here 0.5 ]
1 l( J' o0 f" u  repeat 10
4 B4 p! j  _8 }" x6 Q    [ diffuse grain-here 0.5]         
* ^- c/ X4 U0 r4 n; I  ask patches% K! d% E8 S& Q7 B9 W# {/ Z
    [ set grain-here floor grain-here   
6 ]+ }- g3 P# w- v2 N      set max-grain-here grain-here      2 c1 Q: S; W& E0 u4 }2 _( H
      recolor-patch ]" K2 O9 r4 c$ ]" `8 L' P8 U
end
; I( q: Z& E2 A+ t1 Q9 ~, L) Mto recolor-patch  
# \7 E3 {; W. M1 J7 x: k! G3 c  set pcolor scale-color sky grain-here 0 max-grain3 U$ o! T+ o% e8 M
end! g1 C0 v' X" @. f1 k  V
to setup-turtles
/ h) Z- k9 y5 F! \( p  set-default-shape turtles "person"% `5 A; a- U8 @" p
  crt num-people
) i" x+ _2 N  c3 N. T# F    [ move-to one-of patches  
  d: X( K" Y& E- b3 j1 t; o& z      set size 1.5  . T0 x9 i1 t4 [: d* ^# L( f/ ?
      set-initial-turtle-vars-age
! K* J0 C, G: S      set-initial-turtle-vars-wealth
. w$ i- ~/ V4 H5 H$ D- G) E% s      set age random life-expectancy ]
7 n$ a( B) @+ t' B! J: u" c  recolor-turtles- X% P% h( s0 e' p, @, P" G
end
7 C0 |: w8 v) E) S% R9 r6 u9 B1 h4 d; o4 z
to set-initial-turtle-vars-age; l' K" q# F% f, |  F( u
let max-wealth max [wealth] of turtles, ]$ c' v5 w0 _% c' N1 h* W
   
  w: }0 j. F4 f     ifelse (wealth <= max-wealth / 3)
% e& W) [3 \; h. L        [ set color red
9 D: |1 @8 ~- Q! R. N: Y          set age 0$ m, n( u7 Y! O! y% s! }; a
          face one-of neighbors4 & r# P$ T  r( u
          set life-expectancy life-expectancy-min +
. K7 C- ]% f  T                        random life-expectancy-max # A9 {! X' ^$ n% R6 I
          set metabolism random 1 + metabolism-low1 d9 Q- k1 w0 f
          set wealth metabolism + random 303 A9 p7 s' z. n2 m" U4 j( ~1 o; P# U
          set vision 1 + random max-vision+ x5 A. `# Z  X, w# O. B# ^9 e& y
             set wealth  wealth +  Wealth-inherited-low ]
) a! z0 S* }" d& h# b        [ ifelse (wealth <= (max-wealth * 2 / 3))
, R2 L1 K0 |8 ~            [ set color yellow
6 z- [/ a  c  ~4 T6 o) `& u              set age 0
# p8 g8 B' |- M9 H              face one-of neighbors4 8 y1 W; r0 b  ?2 P4 Y, ~
              set life-expectancy life-expectancy-min +* j' }  R9 H0 ^) j7 \
                        random life-expectancy-max + 1
" ^8 |# X6 C0 q- v              set metabolism  1 + random metabolism-mid6 b8 [& P# M9 u) n9 m* p
              set wealth metabolism + random 300 _5 c' r3 I" R
              set vision 3 + random max-vision% H/ I& g7 Y4 S8 Q+ c: B
                set wealth  wealth + Wealth-inherited-mid], K9 ~- W. m/ R+ g
            [ set color green 1 L& Y; Z0 _9 P; m! a, f
              set age 0
9 f$ i5 h% h1 ]) m) T2 [9 @              face one-of neighbors4
1 d( U! |( Y4 [9 s+ b              set life-expectancy life-expectancy-min +& X# |( X9 Q% Z3 T- R
                        random life-expectancy-max  + 2
" K3 K' w8 D4 s* Y2 d% a              set metabolism 2 + random metabolism-up2 @5 _6 ]* ^, h: N" C
              set wealth metabolism + random 30- H6 H6 h0 _7 H7 n  i
              set vision 3 + random max-vision
6 b) }3 U5 ~, f' S8 a              set wealth  wealth + Wealth-inherited-up ] ]
! ~% D- n: @2 P + D' l$ i; {/ \/ A3 Y
end' |& z- f5 e& W4 b1 O% O7 C& a% a
to set-initial-turtle-vars-wealth7 y2 i+ f6 h5 v& n4 l. u: Q
let max-wealth max [wealth] of turtles
6 q6 u' W1 e/ h0 J  K          set age 0
7 b" Q* o' L2 _# v$ r% `' q9 |          face one-of neighbors4
8 G% T2 }. p) _          set life-expectancy life-expectancy-min +
$ u  o: b( n; A% k2 J8 R                        random life-expectancy-max   G8 n/ o4 k# O- h3 x* ^
          set metabolism 1 + random metabolism-up8 H; P( O3 b% V3 x2 z
          set wealth metabolism + random 30
) i# R; S1 A2 {# `4 S" Z0 Y5 b          set vision 1 + random max-vision
, x% B' Y; }5 |5 ]end
5 C9 ?$ l- \5 yto redistribution9 c4 I* x0 A$ K
let max-wealth max [wealth] of turtles# G3 ?2 ^4 o) G6 K; N- S- X
let min-wealth min [wealth] of turtles& i5 @, G) h' ?2 Q2 h
if (wealth <= max-wealth / 3): `5 N. O' \1 W: L' e, Z
[set wealth  wealth + Low-income-protection ]
# H! p+ D- o1 n# O( dend# [  ~& M1 z  n8 J
         
3 V, n" Y1 h8 h+ g5 C4 Yto recolor-turtles
8 b3 J0 {% D3 Y$ L2 T' [/ q  let max-wealth max [wealth] of turtles2 G/ P; Y# _" a, J. S
  ask turtles
7 C2 f$ h- o2 g7 `% K3 G  c   [ ifelse (wealth <= max-wealth / 3)
( F$ k5 K6 X% D0 x. z% N- A        [ set color red ]- ]: a# J2 E6 c( b( A
        [ ifelse (wealth <= (max-wealth * 2 / 3))" Y0 ^0 r9 ~& D8 g# D1 u
            [ set color yellow ]1 M) v9 I! Y# \- f5 Z" X
            [ set color green ] ] ]
9 ^- e! [+ \" o) h ask turtles [ifelse show-wealth?" }, n# }1 E6 F  n0 t
    [ set label wealth ]
) R6 Y  U0 A" U    [ set label "" ]]
4 c6 D/ Q9 V/ Y! Pend8 j5 F& o" u) R
$ s+ J8 A: f2 n8 L* D/ s1 i
to go; t: r6 Q6 M* _
  ask turtles6 Q! O2 G7 E& d' m9 C! U- p  K
    [ turn-towards-grain ]  / _0 p. j- V# |7 T- P' {9 V
  harvest
+ q2 Y. J: ]/ [# J7 f$ l" p  ask turtles# I/ B" N: u" m- s  j
    [ move-eat-age-die ]
' v( T- G& r7 u- w, j5 R  recolor-turtles" }9 Q' y( Y! b4 u8 \
  if ticks mod grain-growth-interval = 0* f2 U* r4 j9 ?) q- c: V4 [# H
    [ ask patches [ grow-grain ] ]) d8 [* v1 j/ V1 e
     r3 |  l  U9 C9 N4 t" _
  if ticks mod 11 = 00 y  t4 I5 W8 t0 _, K& E  s8 ~
  [ask turtles: R6 \8 v  s" r1 c6 ~; o
  [ redistribution ]]
. e7 c: a$ Q7 k$ V; j; h  H  if ticks mod 5 = 0
* L* D1 w+ F5 K' Y; l8 h: ?' S   [ask turtles
' v5 v  y. |( `6 j. P$ n& t9 ~  [ visions ]]
) a$ k$ A  d1 }% D; ?! u- b2 e  tick0 W" Z9 ~# ^0 a7 S
  update-plots  E# `8 \/ U  e- F
end
4 g4 w1 b: D" }& m. B" vto visions! w. @: P, `$ f# j6 ^5 V' z; S' Q
set vision vision + 1 + I* }6 }, f$ p  G; N9 m
end
) Z2 K! W: x% r' x! p1 l
4 {/ t8 R5 b' H/ b. Q
# n! C8 c# r. Q1 b6 f8 Z8 g' H& D; u. W. \& l
to turn-towards-grain  * \* J9 \6 F. p  r, k& }# O! |; Z
  set heading 0
- z0 n9 X- |; S" K! }, K  let best-direction 0; U5 F4 `7 x  u5 |0 e
  let best-amount grain-ahead
" `  Q7 x; [3 U; w4 s( J5 @  set heading 90
# F! y' V& f% r( k/ H6 i, V  if (grain-ahead > best-amount)
" [( W; Q2 x0 t    [ set best-direction 901 D; ^+ ]- h9 a. L& M
      set best-amount grain-ahead ]
" M: D: a/ s0 o* J5 z- |1 q  set heading 180
0 B! F& s- Z2 j/ `" F1 I0 H& o  if (grain-ahead > best-amount)
. o' O) g; A" ~6 Q' l    [ set best-direction 180
0 F+ c4 r! }+ j      set best-amount grain-ahead ]8 Z  I' B( I; T' W% _! m  \
  set heading 270. W% R! [2 z+ `
  if (grain-ahead > best-amount)
' `) A8 k2 h4 t5 }) d. w    [ set best-direction 270
- L, ~/ p5 ?( q3 V( l      set best-amount grain-ahead ]5 u! I; C3 Z1 J, F- |5 U! ~) [
  set heading best-direction  v4 J+ l& f, c, n+ X/ G
end
. t5 _! p0 T1 ?, k$ y- E- e. a9 I7 A- R& ]2 f
5 i; g4 i- \! D( l' `
to-report grain-ahead  6 z: D( O- q/ W# _: x" d
  let total 0
: x/ X0 m7 w3 W0 x6 U0 K  let how-far 1; O8 T& F& r) Y# o- L% [: k3 c6 u
  repeat vision
% m. P" m% D% [& T# h4 ^; O$ ?/ A    [ set total total + [grain-here] of patch-ahead how-far( T3 K  s: e) k7 T
      set how-far how-far + 1 ], n7 b9 I! i/ J" z5 r
  report total% D6 h0 n! u$ C% n7 O
end
# ~+ a$ j- O( m! k! _1 r5 m2 N( M/ W. M* C
to grow-grain
0 T2 Q4 {5 s' t* x0 o3 X0 o# S  if (grain-here < max-grain-here)
# C8 C0 L4 b) a# ?% S    [ set grain-here grain-here + num-grain-grown" Z, s# J& z. G5 J
      if (grain-here > max-grain-here)
. D: z& @0 K( w$ e) S0 j7 R5 S        [ set grain-here max-grain-here ]
( U3 w; }* X& \  l5 V, h, @" Q      recolor-patch ]4 p5 i& F8 j( p: ~
end
5 M$ U: G9 u* e1 Q/ y5 e1 Oto harvest
' y* A" W  g) t  ask turtles
) p2 r6 d! L5 Z* F3 v* w    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
' r1 F/ R. [5 A9 q- t( C  ask turtles
/ e$ `# r! T7 c9 U5 E    [ set grain-here 0
( h) O9 h  Y$ S$ P+ p  J      recolor-patch ]
) n. @8 b! |8 o+ ^: u% P/ O- O  . o8 o8 B1 a2 j! u6 {/ `" k4 h( a
end' E/ e8 |% {" `, R. ~/ B

2 ?4 }+ z2 _- f: F. [: n* x% {1 Kto move-eat-age-die  
) ?& c) N- q1 j( a+ v  fd 1
9 ?$ i) o5 B$ ]) j# P  set wealth (wealth - metabolism)
# i# g1 ~& x6 S7 R    set age (age + 1)
6 n0 s" W) ]' `7 P. W$ z  if (age >= life-expectancy)
$ E) q! t$ G, C* t& s    [ set-initial-turtle-vars-age ]6 ]9 P' W. C1 ?+ W: V& N) X. G
  if (wealth < 0). J. I4 u2 P* D" ], n7 Q0 ^) h0 A1 t
    [ set-initial-turtle-vars-wealth ], S% b# R! n" s& ^
    * o0 x: |  p( c
end0 H# D) J  d4 k

  o# K3 i( G6 t6 b% ~9 E: ?9 G# \% R% `' \1 r$ d: f$ S" x
to setup-plots! t% x# l& m0 j# ~+ N) b
  set-current-plot "Class Plot"
9 J3 A4 u- H( i; i+ u5 g' f  \  set-plot-y-range 0 num-people6 s; M- O0 h7 W- r# ^* b8 b$ Q
  set-current-plot "Class Histogram", ^. m3 k: L* m. K" [. B
  set-plot-y-range 0 num-people
0 ^& o) t8 b- fend3 S3 a6 C$ p2 ]" R
+ b* c5 K! x+ H4 X$ ]/ \, Y2 j
to update-plots
+ B9 P4 J) E1 s; U  C' D- r8 O  update-class-plot8 n1 I$ C6 d  V
  update-class-histogram) L' K) H$ k, J5 s! Z- C
  update-lorenz-and-gini-plots
( M4 D) H4 g4 i) j- _end
  z. ?/ S3 @/ t& c
8 M% I2 J/ `$ q! r  O: l, hto update-class-plot
/ I5 [& _( d% T" z  set-current-plot "Class Plot"
* M6 q4 ~; S7 b  set-current-plot-pen "low"  o( z8 w# D+ W% @! p
  plot count turtles with [color = red]
, a+ o- H. S" E+ ?. e9 Y6 w$ l% Y! z  set-current-plot-pen "mid"' V5 {2 g: \# E/ ]
  plot count turtles with [color = yellow]3 I3 E: Z3 B+ C( J! L2 U+ m
  set-current-plot-pen "up"
  V2 e3 \+ |: {% e  H8 y  plot count turtles with [color = green]
4 Q( r4 ^6 z) vend6 B& |& N; a5 O# O5 _5 z  k
  R0 V3 v/ _6 e8 i
to update-class-histogram" M. l, L( A% D7 W
  set-current-plot "Class Histogram"! D3 I" s2 @5 I& r) _- _3 x
  plot-pen-reset3 X# K, R2 T) b
  set-plot-pen-color red+ x/ S* ^/ s0 O4 t$ @. Q8 ~& M: `+ x
  plot count turtles with [color = red]
, ~/ v2 g0 N, a; A  set-plot-pen-color yellow
2 l' `1 F% p9 I+ }  plot count turtles with [color = yellow]: c( y5 z+ f% \( r( o
  set-plot-pen-color green5 K6 }, {* e) R+ R, j! d& V
  plot count turtles with [color = green]
# s7 M. C% M6 k" b) l, \end% Z1 [; N2 A7 h- ~- a$ k! J' P1 v$ o, |# A
to update-lorenz-and-gini-plots
. {7 s- _* |% F7 l3 G  set-current-plot "Lorenz Curve"
. J- X" O* G4 ?" X9 |5 q  clear-plot! H3 t+ C9 w5 x/ C8 t
1 \0 D: d  ?* M$ z
  set-current-plot-pen "equal"6 B9 F, \( l- p: \. Z: k* R5 W3 A. {
  plot 0
! O2 K+ j: M* z, C' p6 A  plot 100) T% ~0 L) L3 v+ {

- K5 a) r# @5 V3 K* g: F3 v( p* P  set-current-plot-pen "lorenz"
* J6 c* E7 Z, O  set-plot-pen-interval 100 / num-people
& P: a# }# o/ _  plot 05 q( K! ?5 Y( M; G! P
+ [6 t, e* V& N. l1 \
  let sorted-wealths sort [wealth] of turtles8 H4 a; c$ M3 C6 H& W/ X5 t
  let total-wealth sum sorted-wealths
. [' u& }  ^& b! S  let wealth-sum-so-far 00 X& v0 P% N) H% S
  let index 0
9 `* z- H: B  h4 E  let gini-index-reserve 0
8 V) b: [5 f& W0 e8 s
8 T3 t( Q% ]! A3 T" g# a8 ?+ ?  repeat num-people [
7 u) F. l, \8 P  F    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)& }7 V& W' R3 i. n$ W8 f* U
    plot (wealth-sum-so-far / total-wealth) * 1005 ^0 t) i2 m! M$ Z: W! N
    set index (index + 1)) d  A3 J2 R. f9 {  m
    set gini-index-reserve% k- G) i+ Y# K( e9 M8 Z( C; U3 v1 R
      gini-index-reserve +' P' w* ~7 h+ [" [( S7 o+ L
      (index / num-people) -
5 b$ T! b+ q5 `. B5 j8 C: q* J' Y      (wealth-sum-so-far / total-wealth), r9 n; m" ~/ ?- K* a1 D+ \: N
  ]
* p" [; [* `6 U- A# y7 E2 }
+ c; _$ Q1 N( Z+ ~  set-current-plot "Gini-Index v. Time"" Q1 V- R! H3 i
  plot (gini-index-reserve / num-people) / area-of-equality-triangle1 q% ?7 [! d: F5 z/ b4 c0 ]4 V( k
end
) O  i' _+ s  ]! qto-report area-of-equality-triangle
& W* `9 ^3 ]3 E7 F- C' \# c  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
2 Q- [, J0 Y5 ^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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