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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5 p- z8 Q. j+ B1 q$ U
globals4 y  ^3 J1 B+ a1 ]
[8 G& r8 H0 t8 ^* i' H
  max-grain    : K( a' [, }+ S" k/ t1 Z

# }" i5 K7 s! t9 ]: v, e7 Y& k( O]: ]) |6 T# o# o/ [
+ }& U7 ?( d; T$ z% z
patches-own
$ e+ R; j. b$ z3 R7 |" w2 N2 ^0 |[
- p* E" b- Z  R  @  grain-here      
3 g3 C7 E& B3 f% {  max-grain-here    ~5 L! D" X" T  r, X. A0 W* ]
]
* N0 y1 H  z2 u8 j7 N( _6 t) b2 ]$ W" D  U  s7 C, W
turtles-own
7 ]/ d' a1 [" W[8 q$ {& g3 Y0 Y; e' t2 x
  age              
( k; O& }: X6 ^% ^  E% ]" G  wealth         2 V& o" h+ A. W: r! |; |
  life-expectancy  7 i) _6 P3 }8 Q# Z
  metabolism         @4 Z) f. E+ j5 Y1 c# \
  vision
, k* Q/ w8 U3 k3 t  inherited         
9 r2 J' l8 R5 |6 P$ V]
3 O5 t* d* C" O3 b, t2 T% n
1 w9 p5 S' [7 ]  E5 R; [
1 I! o/ N: i1 r% F& Qto setup% M/ t) b( D4 S/ u( \/ B
  ca! p* |$ t3 }- K  \9 a# V: N1 S( c
  set max-grain 50% G# \7 r: G1 z+ k
  setup-patches9 t3 u8 J3 h$ J; _
  setup-turtles& d9 t4 V" f* U8 A& f
  setup-plots' e7 v6 D4 H( K
  update-plots7 \( [2 ^# y  n& D% ^- B
end- S! y# a% o9 ]8 B5 l  K2 F
to setup-patches
& H* T, P: B4 Q2 x* B0 z  ask patches
2 f% @: U' w4 ?& X    [ set max-grain-here 0) w+ t; p9 o  t  ~" h6 F
      if (random-float 100.0) <= percent-best-land. G5 T$ R7 F* j# W" T( E9 [
        [ set max-grain-here max-grain
. `3 q: h9 t6 P' `* p$ ~  ^, x9 Y          set grain-here max-grain-here ] ]9 |: o, ?4 o* P% ?
  repeat 5
% \+ B  F: s1 f1 y3 ]2 S. k    [ ask patches with [max-grain-here != 0]
' d1 G* N1 p& E2 ^$ `( Y        [ set grain-here max-grain-here ]- k! b1 c4 m" b, a) z) i, h- S
      diffuse grain-here 0.5 ]: i7 z& f- T+ p. a) ~
  repeat 10
( G9 h2 _, j0 M( A" j% a" W    [ diffuse grain-here 0.5]          8 {3 l6 s) h- |- ?- e
  ask patches+ H+ n' S* S6 q: o, m! E9 E
    [ set grain-here floor grain-here   
# W& R2 r/ f5 I- ~9 |2 O1 R: U      set max-grain-here grain-here      
! D( _8 O1 r+ t+ y: k- e      recolor-patch ]
+ U+ ~- z! t' j, E8 r/ |, v; S4 \end
8 K  A' T  M$ B: K3 n" ^+ rto recolor-patch  . J7 L  w, `# D8 R( o! p
  set pcolor scale-color sky grain-here 0 max-grain( E% V/ B1 e- ~9 N6 A7 x7 A
end
0 w" r% M+ g# F' \to setup-turtles; N& p5 i; X( a, c. o, y
  set-default-shape turtles "person"
9 j2 B- |% v6 ]- G* a( t& y3 p$ u4 ~  crt num-people
% k7 _* R  P% t! I; ]1 f( a1 D    [ move-to one-of patches  
/ Z+ U) a' K" D% i      set size 1.5  * [& A2 D0 a& |: W8 e# {6 O) i
      set-initial-turtle-vars-age
" u' m9 F. y* k      set-initial-turtle-vars-wealth
* k2 g! l2 Q/ g& k/ q+ C) T0 l      set age random life-expectancy ]
4 I9 Y+ x  K; ]6 P: n* e  recolor-turtles) ?9 P: W0 C5 c, h% P7 ?8 e1 ?' S
end0 t! b9 D" T* n1 a: x- ]' Z$ Y
) [7 Q) T1 Q2 c0 {% w! A, G& R
to set-initial-turtle-vars-age* X5 Y# [. K( H+ [# x0 I
let max-wealth max [wealth] of turtles
; o' ?4 Z9 I; A  |    7 |$ c3 d/ X' t* n& T0 G! S
     ifelse (wealth <= max-wealth / 3)' S7 j3 _. B4 r) d8 w
        [ set color red + o, r9 _. x$ L) E2 K+ n
          set age 01 F2 G7 {& K+ c  C( z
          face one-of neighbors4
3 b/ l: Z. @8 o' T" u1 z9 G          set life-expectancy life-expectancy-min +  d2 a) [7 Z1 E  u( g$ }5 N$ `
                        random life-expectancy-max
8 \3 s: q) c% t. K0 ?! [. |5 Q% J          set metabolism random 1 + metabolism-low/ r4 \# m9 E5 l+ E- s& d
          set wealth metabolism + random 30# W9 t: l4 F% I
          set vision 1 + random max-vision
$ r! P& B( o, H2 G             set wealth  wealth +  Wealth-inherited-low ]# R7 t8 _) W) @
        [ ifelse (wealth <= (max-wealth * 2 / 3))8 p5 c& d! h2 [! N
            [ set color yellow % [! D4 W* j0 ~, |
              set age 02 Q( h, }. ~; d: ~1 X+ ]
              face one-of neighbors4 # `% j, k8 [" ?0 j. c
              set life-expectancy life-expectancy-min +
  d& C/ f5 I- m* i$ N$ G$ F7 |                        random life-expectancy-max + 1
9 f* a& E; D5 M. h* J              set metabolism  1 + random metabolism-mid
2 O  E1 W- G/ D3 c- e9 `              set wealth metabolism + random 30  G5 ]7 Z6 k' N$ p! l: [* d
              set vision 3 + random max-vision
. y& F1 T* V# {3 O9 |0 g/ Y                set wealth  wealth + Wealth-inherited-mid]- Y# t8 f0 _9 a  X) ~: Y  |. b
            [ set color green
$ H3 G% U" x6 m6 L              set age 0
$ u6 l: L* f9 Q  _              face one-of neighbors4
2 X4 d4 U  s- Y* ?& b; {              set life-expectancy life-expectancy-min +  W6 R& I3 Q$ B; O# y4 y
                        random life-expectancy-max  + 2; H* C: g5 q2 d: Q8 @) R
              set metabolism 2 + random metabolism-up" I6 E6 |; [1 \8 C8 t
              set wealth metabolism + random 303 o* \% \& G( h5 K" J; R* ^( G- V
              set vision 3 + random max-vision! w  v8 N) N/ i3 v( u! q
              set wealth  wealth + Wealth-inherited-up ] ]
  ^! j- k& g3 ^$ \ 8 g0 z( h7 V3 c& n  X
end5 L) b( @7 F, |0 [/ W
to set-initial-turtle-vars-wealth- {; p% V) v/ @# i& J. K
let max-wealth max [wealth] of turtles
- B# Y+ {- d+ n" ^. F9 i          set age 0; a& L6 \( n! s! Q
          face one-of neighbors4
( E; E, f* [3 w          set life-expectancy life-expectancy-min +6 l" L7 G) o/ Q& \! ]
                        random life-expectancy-max
$ v, M5 P; `; c; T' C( o' Q          set metabolism 1 + random metabolism-up1 k4 M" J$ {$ w: {
          set wealth metabolism + random 302 u6 Z0 M" k; ~& N1 z" k
          set vision 1 + random max-vision
3 Q" b& `' s  j7 w2 fend  b0 d0 a( d; x% Y( N6 s& X5 D
to redistribution/ \5 v. X: ~* \9 T) U& k; V, j
let max-wealth max [wealth] of turtles, u: |" b+ {; t. ?; T& M  C
let min-wealth min [wealth] of turtles+ @# _5 W" x) h6 s! S
if (wealth <= max-wealth / 3)% U9 S# x# }0 W; Y. I3 i
[set wealth  wealth + Low-income-protection ]
. P" }' }/ t9 B7 v2 _4 l( Qend
' _5 {+ Z! ^# i# X8 j- `- d4 ~         
' E3 I& V9 p: w$ L3 k, A3 Zto recolor-turtles$ ~+ v& _) l# |5 }" `7 e
  let max-wealth max [wealth] of turtles
' m' D1 K4 H) u0 y4 ?& o  ask turtles7 g) u) l. A" s/ c  d5 \& q
   [ ifelse (wealth <= max-wealth / 3). ]7 L5 B6 y* s1 b+ Y7 H
        [ set color red ]
- u" B. M( e8 @5 b/ U0 U        [ ifelse (wealth <= (max-wealth * 2 / 3))# c. v2 a' x! V! b
            [ set color yellow ]' W* z6 O2 y* t5 e: c! [
            [ set color green ] ] ]
/ Q5 s. `0 }& U3 _7 w$ e ask turtles [ifelse show-wealth?
( `9 v1 A9 V) O8 r8 @    [ set label wealth ]; n, ?. B  F; V; o8 f% q
    [ set label "" ]]
9 C/ y  w- L+ J- Y( N5 F- z4 |end/ U' K/ `' o) t9 a( l6 s: {0 x5 Y
# r, Y8 V& ]) a( G4 D
to go
& f2 `* @' s7 e- J% x  ask turtles
3 ^4 j- x+ e4 R' J    [ turn-towards-grain ]  
3 H: S  e) G5 I& P. m; b" {  harvest
; J3 M0 k  c6 W  ask turtles0 Y8 b4 c+ ^; O2 Q* U! q. `
    [ move-eat-age-die ]
. t" i2 z0 S% X: V' [( @  recolor-turtles
4 k5 y3 {$ w! a. M  if ticks mod grain-growth-interval = 06 }. X8 k6 y6 X0 A" g
    [ ask patches [ grow-grain ] ]' b6 ^( i! n0 }) A% V# e) e; }
   # `2 ?3 g  l( j- X1 I8 t. k! T/ l
  if ticks mod 11 = 0% ?* l* V5 o8 S& y9 Y' C
  [ask turtles- R9 H# m4 Q! P7 Z% o
  [ redistribution ]]
0 L3 r7 ^, Y2 K" v* q4 R  if ticks mod 5 = 02 P! I( b; j: a: U: U5 x+ I
   [ask turtles  H& s2 h& _5 S& U0 ]
  [ visions ]]9 w" o9 [7 z1 L' L, H
  tick) B1 |. g1 k- P  P. e6 H/ I3 E
  update-plots
- n5 f( q2 n+ A$ D4 |, |end
$ B% ^2 `" `, J8 M0 i* ?3 C7 F% Uto visions
1 ?  s9 U5 `7 ^% o3 n set vision vision + 1
8 q! T+ L8 _0 P7 N' a. ^end, g8 X& N+ l2 Z* y1 h9 z! N, X; C

9 _, ^/ d5 l+ u# f1 s, G: m# ?8 N# _7 s1 l* B) F6 w

$ |4 F, P) w: c6 r, C" Y, r* vto turn-towards-grain  
( U% y6 U2 p  P$ n. e3 I5 ]1 p  set heading 0( ^. a& D; v2 z0 l* l6 i
  let best-direction 0" x/ f  l5 ^: M2 u, S
  let best-amount grain-ahead
. I$ h1 ?9 U! c4 {& g* ?3 z  set heading 90* N0 J: R% L, \! f
  if (grain-ahead > best-amount)( c" I- `  @5 |5 J% ~1 Z4 w8 _
    [ set best-direction 90. N  d$ Q6 {# i8 i
      set best-amount grain-ahead ]
# D2 H1 |+ I( t# |$ D+ V+ j  set heading 180
' k: C) ~  }) s2 d  if (grain-ahead > best-amount)
4 M8 D2 b- n3 {9 |9 h, c8 l; U    [ set best-direction 180
% R9 o, O0 K4 h* Z" P      set best-amount grain-ahead ]9 k& ?  j! U+ n8 m; f
  set heading 270; z# g4 d7 ?; [3 c
  if (grain-ahead > best-amount)6 `' }: W; F# V3 C
    [ set best-direction 270
* y3 ?1 F+ Y; W+ Z  k' ]      set best-amount grain-ahead ]
2 J0 w# n9 M7 \" c  set heading best-direction3 R5 X" }$ ]! u
end
9 M. a/ |. J2 P$ r8 I( C5 }' }, k7 f6 n4 S) J5 V" A
; D; B4 a+ u# B
to-report grain-ahead  & d9 G" H1 R3 e. g/ w9 p0 j
  let total 0% R; k' j/ H* O
  let how-far 1
4 T) F" Q5 j( r# D" u! @( i/ y  repeat vision
; ?4 D" a! v* u9 x  \    [ set total total + [grain-here] of patch-ahead how-far* I; U- q# I' y$ u! S
      set how-far how-far + 1 ]: ~& R7 L) z% _4 Q8 I/ c
  report total
/ B$ c5 C3 ^. }8 A$ f8 bend
/ g; w1 w) y; U& ~
6 D- }3 _4 P5 h1 Ito grow-grain & L& n; |) w& c) s" c
  if (grain-here < max-grain-here)
  y# i, [5 b2 g, X6 S    [ set grain-here grain-here + num-grain-grown) l* u& }9 `0 A% w! k3 m7 T
      if (grain-here > max-grain-here)
6 [8 n, Q, J* z8 s        [ set grain-here max-grain-here ]2 \6 y( a) U6 b9 R* I, S6 |
      recolor-patch ]; {+ F9 V. N2 W# d7 |# P3 p- Y
end4 Q* [/ A7 A3 s" @8 k
to harvest, X6 ^+ |9 h6 F: n, d+ i3 J3 t# h
  ask turtles# j$ n4 v$ o, \- ~9 B/ Q! J
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]% N; H' A! \+ k) a$ s
  ask turtles
4 }$ b( W) r) ?' V2 f9 L% d7 K    [ set grain-here 0
+ c) Y: }; F! V2 y4 A      recolor-patch ]2 Q  v, z& D$ c: d8 V' G. O" b  Y+ W
  
1 M3 W% Q0 a! B' n2 D, Tend4 L5 Z$ m2 s- T" f) r
( y: {/ s# Q, [. r! g! c
to move-eat-age-die  & g1 m5 T; N+ r* `" y0 s5 J
  fd 1, a/ F/ {8 e! U0 ^; b# X. i
  set wealth (wealth - metabolism)
& c! \* r" Y( ^7 k7 ~6 ?& s! ~    set age (age + 1)5 a5 q- f2 O9 S# V) W+ ~
  if (age >= life-expectancy)6 J! W+ D/ m. v) l2 u; v9 I1 @- x
    [ set-initial-turtle-vars-age ]
. H9 ?; _- T6 a  T' \. _, }, K/ X  if (wealth < 0)
1 z' O  n4 Y) i& G  a3 a3 Q0 L0 F; [    [ set-initial-turtle-vars-wealth ]$ o5 a% C# h# M' c5 I
   
- D* J2 `" @3 E2 _7 {% K, ]  jend
6 Q1 ^; g( F* E- H3 B* [4 O
9 x% M: O( C1 G, E! Q. G5 n9 O% H( g. G
to setup-plots7 ^/ }  C. r* {  p; U5 I
  set-current-plot "Class Plot"
) s9 b) ]: p- x* o/ K9 w2 B  set-plot-y-range 0 num-people+ U' T& J9 V- |+ j! L3 |
  set-current-plot "Class Histogram"4 |, ^* w, [! X
  set-plot-y-range 0 num-people
) _* O6 l0 s3 F- O& }end
- Z5 |$ G6 w$ o1 D8 a* F: [* C
) \" K* u4 e* Gto update-plots
! p0 N6 p# Y$ j" m: ]- G  update-class-plot7 s- U" v6 t3 a7 r. g8 G
  update-class-histogram
9 `/ [* H- O6 J4 t! s4 j  update-lorenz-and-gini-plots
( L$ ~0 S2 o( S" k  g# ?: I! Yend. T5 `/ h. t1 k, T  |5 L$ ?+ t
; x3 y0 r& n: V4 y/ ~
to update-class-plot6 {# ~" e% n: \0 I9 b
  set-current-plot "Class Plot"
9 e. ]& _* X+ L2 s0 }9 r0 ?- w  set-current-plot-pen "low"
! T- y: @6 P. l9 u# H  plot count turtles with [color = red]
6 a( p! x. ~9 d% E& M* k( Q: G* ~  set-current-plot-pen "mid"0 |, D# A: L- z6 O0 j8 x+ u
  plot count turtles with [color = yellow]
* a- f0 i) h5 O/ C9 `1 L8 T3 v+ i, {  set-current-plot-pen "up"- n6 I  i  i' T& v8 `6 w8 O* N
  plot count turtles with [color = green]/ R+ g8 z# G3 g! _1 O
end
: M# |; X- k9 j- }
, c: m6 Q* `1 {; M8 S! Sto update-class-histogram' f+ Q1 a% V" w2 r4 ?$ v& n+ l/ A- t
  set-current-plot "Class Histogram"
( S  |5 c$ r: h+ K* Y) j* A9 ^  plot-pen-reset
$ Y. f3 J$ X1 D* M, S  v. o1 Y  set-plot-pen-color red  Z7 K0 b8 ~$ L- h/ C2 u* M
  plot count turtles with [color = red]
, k2 a# J& e0 y! ~- }6 u. o  set-plot-pen-color yellow0 d* k1 O7 f9 M8 I% [: W: r: r
  plot count turtles with [color = yellow]; k6 ?  p- ?/ u3 _
  set-plot-pen-color green
0 Y, {& e) ?3 ?. p  plot count turtles with [color = green]& w) u/ f1 M! v  `: X  f/ Y
end* P# ?6 L- m+ M  G$ U6 e+ y" w
to update-lorenz-and-gini-plots
: Q3 L2 t6 h0 T( `1 [& h  set-current-plot "Lorenz Curve"
( s- O* v* w4 v- s1 L  clear-plot
" @3 Y) E4 x) R: P
, ?4 \! `& Y  T! r& x1 f) V  set-current-plot-pen "equal"
! q& R5 s! K5 q0 G* b  plot 03 Q% V$ w; j. p! |( X
  plot 100. a# ~# h; A7 d/ X

6 k6 R& a% {) R+ j  set-current-plot-pen "lorenz"
9 Z- N. }$ E) [9 O" v/ N# k; s! v  set-plot-pen-interval 100 / num-people
% C7 Y3 d) ]: k' e7 j9 _  plot 0
0 _: H( ]  s9 o. K9 H) Y) ^2 ^8 P6 ^) G# }* A3 q/ d5 t
  let sorted-wealths sort [wealth] of turtles4 ^8 \# r# H. Y4 }, W* T
  let total-wealth sum sorted-wealths
3 j  B# s1 J% w3 Q0 F  let wealth-sum-so-far 0! x; u: `: F$ u3 A2 n& O, N
  let index 0
2 D) _" {/ b( S  w) v" p  let gini-index-reserve 09 I  ^4 K5 i& i2 }0 n4 n7 ~0 f

6 W8 W. }7 K* d  repeat num-people [
5 l. Z2 M6 C4 D; e    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)% C8 ?: X) |! V; I1 R
    plot (wealth-sum-so-far / total-wealth) * 1003 N  D% A$ z7 ]5 l/ h) e. D
    set index (index + 1)" h- d4 Q6 Q, p+ l" s# k7 _
    set gini-index-reserve
% p3 t) y' B" }2 H" q+ J      gini-index-reserve +) I4 F% E3 a0 I: \" l% S( A. P
      (index / num-people) -7 l! D7 @2 n# V+ v) P
      (wealth-sum-so-far / total-wealth)
6 {/ D; X) r7 T3 H$ o; I: f  ]- }2 Z! @" o  O( o( A" u
& Z4 b3 r, W. u' C* ~3 z: H$ a
  set-current-plot "Gini-Index v. Time"
* B. _/ Y1 H; Q- b. M& e  plot (gini-index-reserve / num-people) / area-of-equality-triangle
" g: `- \1 q' k# G+ B6 i4 }end
! o  U* _- ^; v- F, Dto-report area-of-equality-triangle
; d6 N$ F2 [0 ?7 P5 f% ^  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
' {0 Z% X3 j' {" J6 w% J, r9 b2 rend
 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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