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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
4 R! i* g" t7 B7 I# c! L+ Hglobals
, Y. d- z' y6 ?8 c6 @/ `6 c' w[
( X7 {" R- ^) R  max-grain   
3 Z! Y, \! G+ Q
+ D' n: u5 ~: L- I/ L]
7 e0 h3 \( z2 d- o
' `% N/ U' o3 S% M& L5 e8 n9 @patches-own4 C' R% I  }5 p- T& R4 ^
[3 ?$ x% l( [2 ~+ t* P; @
  grain-here      ( R5 w# H$ V/ m, v) a6 E' M5 K
  max-grain-here  % J5 c- e, |. L4 }
]3 y; j/ B3 b- `, i3 v9 j5 J
" F  E. S$ w( r8 I7 F3 ]
turtles-own: g; g$ y& Z% t: P1 |' U7 p
[
! T1 R9 V. S% k) A4 w0 R) U  age              
' T$ C+ K" X& g  wealth         . o+ c) g( i% ^" {6 O$ s' b
  life-expectancy  2 B6 N7 V) A2 P; I& w0 m
  metabolism       3 P- M* \: Z- L/ B4 R. M
  vision
5 ~  j- r8 P7 T, T  inherited         
8 ^6 y6 {1 g7 `4 p) `9 j0 }5 c* A]/ G! @. J* Q& U0 |. P+ Q

+ ^$ D# b+ c/ j8 z
: G: h: D& T4 Cto setup
( F- l/ n+ e: ~7 S& B( v; V0 f! X1 L  ca* C6 W0 M  K# V
  set max-grain 502 a& N! J7 F% z% s; H
  setup-patches% g/ [5 v5 }# q1 d9 n/ t
  setup-turtles
; H! U3 D1 g6 I0 t  setup-plots) z* l$ `! c% N- p
  update-plots
( u- `2 Y/ u$ t  h: @) Jend( Q6 U; N. b: v6 z- R& E3 X9 D
to setup-patches9 P: J) x, y; f( f3 J' g
  ask patches9 f0 b8 _& z, S9 }: B
    [ set max-grain-here 0
: D, ?9 C6 b- F. E  K      if (random-float 100.0) <= percent-best-land
; b' X4 K, \9 U. Z: ^  f        [ set max-grain-here max-grain
  ^1 R, |+ `# t* s          set grain-here max-grain-here ] ]
1 F4 `& k' J4 ?* l1 A; J/ C" p. F  repeat 5* U8 ~2 K2 O# d- A) M
    [ ask patches with [max-grain-here != 0]- V2 g- V7 Y9 J+ g
        [ set grain-here max-grain-here ]4 Z% E- h0 y  N2 w$ v
      diffuse grain-here 0.5 ]
+ o" z9 P- w, w2 D& }  repeat 10( A/ s# F% `- e: o% O1 T
    [ diffuse grain-here 0.5]         
: u) i6 U' L! `; s7 e  ask patches
7 h  H; n8 ^, m: H* D5 _    [ set grain-here floor grain-here    5 ]  I# b; E7 c: R3 ]8 x
      set max-grain-here grain-here      1 y7 u5 @5 o0 m$ ^& N4 `
      recolor-patch ]
! r& j( f) J/ \end
' U/ U* e, J$ O8 A1 Ito recolor-patch  8 Q8 n& t- w4 G5 @5 w4 _: y9 ]
  set pcolor scale-color sky grain-here 0 max-grain6 ~) W1 c; w( Q4 D+ D" o: G
end" W) C- \" K# ?
to setup-turtles
* i% ]& f" M+ ~  set-default-shape turtles "person"- J6 a0 |# r" Z) r5 Z  E
  crt num-people( O' H: q6 B* C# i2 Q! Y& G
    [ move-to one-of patches  
, j. t5 z0 i8 T# C# I      set size 1.5  6 c9 ^3 B* m! z% @& R* \# e' A
      set-initial-turtle-vars-age
: O# @% O' I/ R      set-initial-turtle-vars-wealth
% ~; C% J# S6 Z/ Y) C9 b      set age random life-expectancy ]+ Y8 C$ P$ r% ^7 k$ Q% u
  recolor-turtles* L& c2 x' b! x: I0 n
end* V) q$ w% G& Q1 U& u

( ^, Y& u3 d) o2 W4 l4 sto set-initial-turtle-vars-age
$ k6 \+ d8 G  J# t let max-wealth max [wealth] of turtles" E7 A$ @: j( |* _0 W
   
: j; z5 v$ P" v$ I3 X     ifelse (wealth <= max-wealth / 3)9 r8 y- C+ U7 q3 L2 H+ F$ I7 P
        [ set color red 9 L5 {/ D  u/ G6 M% K# V: g8 r
          set age 0% I3 y3 S: m8 S8 C) N+ ^
          face one-of neighbors4 * U; I* B! r& K5 G5 \0 S5 m
          set life-expectancy life-expectancy-min +
/ Q9 c" X3 W4 k( ^6 G) \0 s/ j                        random life-expectancy-max
8 J/ I5 A, V  T5 I1 \          set metabolism random 1 + metabolism-low
% z5 s# {4 X% N' Z          set wealth metabolism + random 30
; J4 T4 R2 ^5 r3 h: R& y" Z4 G          set vision 1 + random max-vision5 l* e2 B: o7 @! w; I
             set wealth  wealth +  Wealth-inherited-low ]
! [/ P4 b0 o3 a& D* b; U$ r. s- j        [ ifelse (wealth <= (max-wealth * 2 / 3))1 k, k4 a/ G; a7 o+ Z3 W) L% L# u
            [ set color yellow
0 ]; \! D$ J: S7 ]6 `              set age 0
. S* ]- Q$ E* R" l. p8 [, H              face one-of neighbors4 : h8 u8 F+ S) F8 e" ^
              set life-expectancy life-expectancy-min +
# _4 h+ {  C  y* h8 }! B4 w                        random life-expectancy-max + 13 z5 I% J* t1 M
              set metabolism  1 + random metabolism-mid7 G; @% _: o- _% |, ?0 b; C* r
              set wealth metabolism + random 30
* M2 K! u( q4 @. S( V- N* d9 i              set vision 3 + random max-vision3 c/ Y, I. b9 L% a- F
                set wealth  wealth + Wealth-inherited-mid]
+ T7 H/ t! v9 Q- E- k; \+ Z            [ set color green
1 Q& e* |6 ]) [6 c1 h              set age 0
6 R2 T: b$ V# x+ p/ d6 s0 j; k: L( P              face one-of neighbors4
/ ]# h( [6 y# I3 e) k) O              set life-expectancy life-expectancy-min +
/ T1 G9 Y' A) L5 E                        random life-expectancy-max  + 27 E- t2 c! z1 j/ ]4 S
              set metabolism 2 + random metabolism-up
9 b, N  e% C6 l( a7 V              set wealth metabolism + random 30
7 v' _5 Q& F! `; L  W              set vision 3 + random max-vision
' z7 f& X  Y0 k" x' q' Y& F              set wealth  wealth + Wealth-inherited-up ] ] " |4 a+ ?( t' u+ k
$ g. G4 b9 ]( j$ }3 r6 T" U
end! `8 m) a5 _8 N3 l4 j
to set-initial-turtle-vars-wealth* z/ A9 j: ?9 [5 G
let max-wealth max [wealth] of turtles/ Q. f- n0 k4 _  }
          set age 0
6 S: C4 ^+ R* J$ W9 c2 q3 [          face one-of neighbors4
: y- p( m* e  F, F          set life-expectancy life-expectancy-min +
6 c. T; A4 T4 b: _: d7 w                        random life-expectancy-max
: [4 ]  ]/ y9 u. L0 {5 ?          set metabolism 1 + random metabolism-up
0 H/ y/ k! l6 {5 m& z          set wealth metabolism + random 30
* S5 m" M( B8 }2 e& G* h          set vision 1 + random max-vision 4 M7 H" s9 c! V6 N
end
- E4 O3 H0 U5 E# b8 s7 Jto redistribution! P+ v3 H& v% P! [
let max-wealth max [wealth] of turtles
' S( y: H6 K0 g0 ]8 O( k& Elet min-wealth min [wealth] of turtles
" ^& Z/ u' T5 J8 X0 W; l; Xif (wealth <= max-wealth / 3)& l7 u% ?  ~' Y& B4 q: v3 }5 i+ V
[set wealth  wealth + Low-income-protection ]
/ V/ z( A/ m/ S& X6 [; D, [2 tend9 c- ]& k! m/ j; X0 T% f5 p
          $ b: G+ J8 |8 H- Y  H
to recolor-turtles
5 g7 N9 L, a8 E0 d5 A' j$ x0 f* q  let max-wealth max [wealth] of turtles! K& y8 M8 |, m3 n9 {7 v4 V
  ask turtles. J$ E& O/ S- W0 H7 Q3 Z
   [ ifelse (wealth <= max-wealth / 3)
+ ?; S5 N$ H: e; G! K; H        [ set color red ]
1 S2 S4 c0 N% f4 D        [ ifelse (wealth <= (max-wealth * 2 / 3))
  [. g7 g8 d+ M            [ set color yellow ], c! d* o8 R+ O4 t% Y) T
            [ set color green ] ] ]
+ j0 Q! b8 ^3 }  R ask turtles [ifelse show-wealth?# }4 e  A) d* r# \' X( y! ^
    [ set label wealth ]+ k1 L2 D+ H& R# x1 B, g
    [ set label "" ]]
. x3 z  Y, a" J, [6 t' _end
5 H8 ~$ H# p  w* b1 M
+ I8 r$ [- O# qto go
2 ^  D  h( w4 L- w' h  ask turtles/ R" D7 m$ q( `' ]) |/ \
    [ turn-towards-grain ]  
! D4 C# O$ O0 {: z  harvest8 \' `" Q( ?) U, H* N1 u) {3 e
  ask turtles: G- l# v- s9 h* ]7 M
    [ move-eat-age-die ]* i5 C; \$ h0 z& ~7 ^
  recolor-turtles4 p4 ?& o  t1 R0 Q7 q; }( p' @7 a
  if ticks mod grain-growth-interval = 0" Z% {' v$ {& S! Q  N, J% t. o' E
    [ ask patches [ grow-grain ] ]( |+ q: q) ?  u/ k' J
   . {3 o" G! i0 k
  if ticks mod 11 = 0
8 p5 _% ~+ X+ ^% b6 R! y: X' A$ U$ c  [ask turtles$ p; F& u. l& r" z- [, y; L
  [ redistribution ]]+ d* q* I5 ?3 Q9 h$ j. b
  if ticks mod 5 = 0$ V3 _/ f9 I3 f6 \/ U4 S/ Q* R, a
   [ask turtles
9 }1 ]0 m/ D2 J  [ visions ]]5 j8 a4 a' @% W7 \
  tick
% c% I" O7 V' j2 s- L  update-plots
' c* u+ t5 |, m( U0 Wend
* x0 u) K! ~2 |- l! {) ]' m/ Ito visions' F; j9 k& V4 K) U+ S6 N& [9 {
set vision vision + 1
$ Y6 T' R7 |5 T' r8 tend
: [! b4 v  W; k0 V" ?1 }) m$ r( F7 W: \0 R4 J; _
; J9 y6 B% B0 T9 r/ Y! g0 v

4 r' e! f3 a. ?0 D# c% @% o. Qto turn-towards-grain  0 u3 [# i, k! @: D+ Y
  set heading 0
  z; U9 h3 a* _  let best-direction 0
, ]% S6 W$ ^8 C- z3 [  @2 ^1 Z$ {: U  let best-amount grain-ahead
: M9 }9 K" S6 l0 Y# [  set heading 90
+ j  r3 i0 Z9 X6 s  if (grain-ahead > best-amount)
+ c. z" i" v: E9 W6 t/ n! [    [ set best-direction 90" L0 _/ c; c! n7 \; b! l
      set best-amount grain-ahead ]
0 I5 C- h  z9 Y4 S  set heading 180
' z! C: q/ W1 y  if (grain-ahead > best-amount)
6 V" E9 i* t  ?0 H2 M+ z    [ set best-direction 180
  Z& F; g0 f! }! C: L/ N7 L. {      set best-amount grain-ahead ]
! q0 o: @4 b, ~  set heading 270( Z( e1 i% n7 l6 i+ U" I1 V# C% m
  if (grain-ahead > best-amount)
2 g  Y/ u0 Q5 U6 x" x, `    [ set best-direction 270
. T, t5 W6 X/ H' p      set best-amount grain-ahead ]" L7 T1 u( t( E; M- T: X
  set heading best-direction
/ c8 R6 W0 r/ F$ E, _; Yend/ P: D, G, r5 a) H
0 d' u8 `& w2 }7 y0 N

! m) N1 ^' Z4 Tto-report grain-ahead  , c4 T) w$ p6 S
  let total 0
( O5 J" H( C! i! ]. A! c  let how-far 1
9 ~0 y1 d( A+ n  repeat vision6 H! G7 G" H1 @
    [ set total total + [grain-here] of patch-ahead how-far' a- m  b- {; u" _1 j5 V
      set how-far how-far + 1 ]. n- f/ U8 A5 p0 ]
  report total
/ D+ m' q) v0 a3 U; Jend
0 l; @, d; k/ `, K; J4 w% f( y& U  q' ^8 o$ u+ y& f3 ?# _
to grow-grain $ @/ t& R6 i) G+ f+ |
  if (grain-here < max-grain-here)9 `) `. F* t2 E' B& s" z; T
    [ set grain-here grain-here + num-grain-grown( Y6 B; X5 L5 [5 ?% g
      if (grain-here > max-grain-here) , x: O. h! i1 `* a! d; g
        [ set grain-here max-grain-here ]2 y2 S$ I( d% j9 ~( J( X% H
      recolor-patch ]  N* W5 h1 N+ [  K( n4 K/ {
end
( U- h3 ?: W) x7 C+ J6 ]2 ~+ ?to harvest
% \; h- x% p) v" n! r0 D8 e0 b- C  ask turtles
' s6 p2 I( l& ^5 R0 Q  }    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
* L! N& Z1 ]: c/ ]  ask turtles1 M, m' g3 ?1 c0 m
    [ set grain-here 0
) X7 X; T8 _; o4 `6 t      recolor-patch ]2 _1 q' i% L) i) n# s. [
  / Y4 ]3 B$ t8 x/ [) w) ^4 U2 ]
end
3 c) Z; P+ I: u+ v/ x! w3 }# w3 S) n0 v5 X, n% |1 S
to move-eat-age-die  * e7 v+ D1 q+ V! m0 s0 `! ~
  fd 1
1 n1 ^) }2 W! [  x4 ]* R$ |2 V$ b  set wealth (wealth - metabolism)" m2 A% }$ n! u0 ^* b* b
    set age (age + 1)* x' ^8 J# g# A  h( h- L' Z
  if (age >= life-expectancy), o, u' P( _% `( R2 e8 r
    [ set-initial-turtle-vars-age ]  D4 m. ^  O. {; g: d! m- O; ^7 B
  if (wealth < 0)
4 k0 C; Y8 E. L& P1 F: z' f    [ set-initial-turtle-vars-wealth ]4 \/ I' C0 n7 o
    , x7 W1 B" g1 q5 `7 v5 ^1 r
end4 L' E/ C# f1 U
+ C" ?+ i; |2 T$ ?
& f9 e& H+ {: }; \* v$ @
to setup-plots
* ~5 L6 P9 c3 o3 g! |  set-current-plot "Class Plot"6 m! [# s5 P" W+ r" P1 t7 {
  set-plot-y-range 0 num-people
/ w; q; u* P/ I" [, E  set-current-plot "Class Histogram"
: X3 d+ W3 ]5 ~6 o9 `& h+ m  set-plot-y-range 0 num-people2 ?: Q( b' I) b! N0 ~. k- r9 i: k
end: v; q8 D+ x; y  n$ v7 _
( R1 ^' E( I1 [. B9 t
to update-plots
" i& @3 `2 Q; I; P" ~  update-class-plot" a2 a/ W- d& d6 q* Z
  update-class-histogram
6 J/ `0 A" H; S  update-lorenz-and-gini-plots
, v8 O* _6 v: E: J! ^/ c9 _. cend
, _  Z8 h0 y8 W( }) m. O
2 h) A" t5 s/ ^) N% ~+ E# n( m8 lto update-class-plot4 k" @, n; W1 F6 o
  set-current-plot "Class Plot") z9 h& j7 y( u2 t
  set-current-plot-pen "low"" i1 D: S$ N# K1 z; r% b3 k% g
  plot count turtles with [color = red]& z- E/ U# i  `! |# M; ?' t2 |
  set-current-plot-pen "mid"; a# G! Z! Y) I: c0 L
  plot count turtles with [color = yellow]
/ X- s. M8 q( {: y& @  set-current-plot-pen "up"
7 |% f( P! i) k  plot count turtles with [color = green]' N; H: [0 c# M. u# s( k9 `
end, \0 R/ {8 N) Q1 G; v# ^. \
' v* r" p+ c3 U  e
to update-class-histogram
" T. P/ z! B4 }7 Q4 b  M* C  set-current-plot "Class Histogram"% g" @& o/ E2 [* W, G
  plot-pen-reset; P- r+ s5 j8 y! b3 h2 O4 L9 Q
  set-plot-pen-color red
4 J" t/ `) P# s6 e- g0 _* c  plot count turtles with [color = red]7 w6 f6 }* M1 ]" F' a
  set-plot-pen-color yellow
/ G, \& Y( B0 `9 Y7 Z  plot count turtles with [color = yellow]
: }$ s. n5 P8 P5 @4 P2 e- k  set-plot-pen-color green
2 [& u! z* S0 R9 v! d% W  plot count turtles with [color = green]
. f1 E3 b4 ~. Y- X" v/ iend
8 ?* ?5 X2 a% {/ [" S$ O9 pto update-lorenz-and-gini-plots
9 w" A' L1 t  i( R4 t% N  set-current-plot "Lorenz Curve"1 `: h# A3 w9 ?& H) i* f
  clear-plot: R# I( P* Q; X+ W" Z9 A( R( p

/ K8 {) d& q% \' h8 G) B  set-current-plot-pen "equal"  e; V8 ?: |4 E8 w* W9 }! }2 i/ l: X
  plot 0
7 g) z( l6 O6 Q9 v* Y8 Y  plot 100
9 q4 L: n) F% U9 x4 {! F3 b8 E& r
  set-current-plot-pen "lorenz"
; ]2 g; G# N6 p) l4 A  set-plot-pen-interval 100 / num-people
7 Y1 {1 T% s* D0 ]  plot 05 S" n4 I2 L& p

9 }0 l  `2 y! |9 ^8 T: T2 E/ L  let sorted-wealths sort [wealth] of turtles  m' u% F+ Y) |& v( l+ k+ S4 z: F/ p
  let total-wealth sum sorted-wealths, D2 r- g  f- d% H
  let wealth-sum-so-far 0- t0 Q% _" Y2 C: M
  let index 0
/ o1 p( J0 |: R, R) E- I" ~! K- D  let gini-index-reserve 0$ b9 V) B* g( @. h0 B( ?

) `: I& ~+ u" w( M4 V  repeat num-people [, J) e! o/ t& }$ }, c# F4 o7 U8 S
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)7 @; t1 K$ v6 J% I0 N
    plot (wealth-sum-so-far / total-wealth) * 100
- V4 a; f4 t5 L  c# f( _    set index (index + 1)% {9 D* G$ O7 i
    set gini-index-reserve& e& T5 u. X* v- f) h1 l" C! h
      gini-index-reserve +7 U# [( u* r5 e5 X1 u' E' [. s
      (index / num-people) -, Q  v' V+ \& c
      (wealth-sum-so-far / total-wealth)
& ~1 |* P9 j+ [( E) M  ]
2 @: Q: z* w/ Q* h! M$ J
' p: h: H) }1 h  set-current-plot "Gini-Index v. Time"! Z9 k  T/ T/ H, q
  plot (gini-index-reserve / num-people) / area-of-equality-triangle5 Y2 k! c% B6 `: ~' [0 ?9 g
end
7 C$ |% |9 O1 v3 T9 Y8 C( b$ Yto-report area-of-equality-triangle
4 |0 L* X- R2 Q5 g+ P: b( k* \  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
1 g( l8 U3 \8 ]8 ]; R' r. yend
 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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