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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
/ E1 E8 A6 B( H+ I7 sglobals
1 X: p( ~  R: g* b, T9 A# J4 \. Y[
2 \3 M: G6 J/ U  max-grain    8 g. i, O9 E" o9 V3 Z  y

: J; O$ {( \2 o: ?]
3 J) |6 V$ n: n+ X4 U6 Y! p5 \6 e
patches-own
/ J( k- M/ b# |3 e6 r" U4 K[
  h, v- j( s* [. S  grain-here      
, J; a* M5 \; j& E) g; q2 @  max-grain-here  . M0 s$ H' G( Q; ?: X4 L9 Q
]6 c2 `% H9 G7 n6 w, t

0 A$ A: E0 R$ x0 q+ R  |' Dturtles-own5 W( w0 @, L" R: u2 o! j
[
4 Z' ?' ]' q7 i$ w  age              # k0 f1 @& R' }/ _
  wealth         ' }! c+ d" C9 U2 f0 O9 ~4 f7 g
  life-expectancy  & c4 w# j2 N( E5 L; v7 q
  metabolism      
, E4 e" c7 y: s+ O4 D  vision) Z/ S+ {* i! k1 X; `- U" I( c
  inherited         
6 Y" G( K0 O  [: }+ |]2 [' @4 H6 l1 Q6 @0 T2 y

) S: G5 @& k: ^/ c& Q5 ]. K
. Y% p7 O% T# O0 _% K$ t. E4 wto setup
/ _! r6 g9 _" Q* c  ca8 D5 ~! Y$ l7 n7 p; d# _
  set max-grain 50
6 Y9 a) D7 N8 W  Q  setup-patches
0 r: ~% y4 B* @5 N: m/ E  setup-turtles2 q; `* o6 o& a* g# D  M
  setup-plots3 F; v2 t9 Y1 K
  update-plots4 l2 S9 i! G4 J* v7 D7 C) M
end1 f' u  I" E5 T
to setup-patches
1 t( l2 U9 R+ s6 S  ask patches5 X2 s! J9 |) X# f: x. Q" w0 q
    [ set max-grain-here 0
: Q8 M! Q$ c; {: d      if (random-float 100.0) <= percent-best-land' g. y/ V! j, I1 j# S+ [
        [ set max-grain-here max-grain& E1 \& R& D1 ^* N9 E
          set grain-here max-grain-here ] ]# Q: b# E# z4 H: u; s; T3 J
  repeat 5
4 p# B0 V- V& Y/ T' k" Y/ L    [ ask patches with [max-grain-here != 0]
% t4 F/ ?* v0 N5 i) S1 U        [ set grain-here max-grain-here ]
! S/ f0 C% C$ ^) c      diffuse grain-here 0.5 ]" ?; w' w. A$ P/ L! c0 d
  repeat 10& ]5 k) e; m0 P0 F; K: Q4 p& j
    [ diffuse grain-here 0.5]         
/ u$ s% {' S" r  ask patches
  T3 Q# ?7 H5 R    [ set grain-here floor grain-here    ! m8 V$ z/ d$ H& b; }1 u$ C
      set max-grain-here grain-here      7 a! @0 h, ~3 A6 N' s
      recolor-patch ]
0 _7 z* ^9 k; c6 ^end$ Q5 ~. Y) T6 H
to recolor-patch  1 v7 ]5 `3 s0 ~) ?; k* L) r
  set pcolor scale-color sky grain-here 0 max-grain" J& c: ?( c* a& S& M( `3 j
end
. N) y; B! n- S9 |+ L) q' M1 uto setup-turtles
' C1 }; T, g" N% \) O6 Z  set-default-shape turtles "person"
7 X. |4 Y9 n2 M9 D8 Q! K. \  crt num-people
5 F' S' z0 q1 C5 X( z    [ move-to one-of patches  , N0 g6 f, y' Q& i" S% x
      set size 1.5  5 [, q* W+ q2 L! O3 n
      set-initial-turtle-vars-age2 Q; g- v( T' f, B  K
      set-initial-turtle-vars-wealth
6 U: f$ w' W0 I( T: R      set age random life-expectancy ]% c0 O+ ?  O( w' I7 D3 E$ D* q
  recolor-turtles. W/ D/ c, A; g" x4 V6 H. a- G
end6 l- g8 b; |4 u" k

6 F- u, [2 V5 G# V& Ito set-initial-turtle-vars-age7 r  B# ~6 V7 Q$ F' z) o% k# ~
let max-wealth max [wealth] of turtles. l4 e; R, n5 {$ N3 u! N% R
   
; ~# R, g7 b. _; i     ifelse (wealth <= max-wealth / 3)/ {1 t( {+ w6 U9 z8 F
        [ set color red   X$ f% d3 l: \% w  c* p$ D* W5 @
          set age 00 M1 Y" \# S4 e1 G6 S" j
          face one-of neighbors4
2 M6 ~8 i6 ~  a# }* }1 V          set life-expectancy life-expectancy-min +8 }$ S. L" e  u. r5 e) R
                        random life-expectancy-max
5 o5 j' X3 U( h/ q+ l* Y2 q+ ]          set metabolism random 1 + metabolism-low+ Q' C) e/ C' D& Y
          set wealth metabolism + random 30: [5 O9 H; J4 K- E( S8 Y
          set vision 1 + random max-vision' b4 k: y. ]" x2 ~( h
             set wealth  wealth +  Wealth-inherited-low ]( s' i2 @' t! m" ^, Q# [2 d
        [ ifelse (wealth <= (max-wealth * 2 / 3))
! I  m  z4 ^* c/ \8 O            [ set color yellow
* {4 }! A+ d" G9 Q1 G" ]              set age 0
9 m, p0 X0 u: }. P* E# o% z& l1 y              face one-of neighbors4 + r; ^& q8 q5 U1 p8 Y) U! T
              set life-expectancy life-expectancy-min +
3 _  U8 w' _& N$ E& I: G                        random life-expectancy-max + 19 O' Z( Q6 S1 i) g& M! r6 P
              set metabolism  1 + random metabolism-mid
' ]; W, D+ p+ d3 d              set wealth metabolism + random 30+ w. S6 }% i# R3 p0 ^9 n" x
              set vision 3 + random max-vision
& f1 d: w1 ~& z1 ?                set wealth  wealth + Wealth-inherited-mid]
  h" Q, h& [" o# w, N; K            [ set color green
3 V# H/ r; |, `0 b! Z2 P$ J              set age 0! N5 X4 |4 B  J* }
              face one-of neighbors4
# Q9 a: ~; F- E) v: j              set life-expectancy life-expectancy-min +
5 c" @) t7 U5 r3 a* K* E3 |  k                        random life-expectancy-max  + 2
. b" C( P7 \/ h              set metabolism 2 + random metabolism-up8 R4 D7 w/ G2 Z8 e  J$ k7 s, R
              set wealth metabolism + random 306 q7 s6 d& z& k# F
              set vision 3 + random max-vision- L) U8 n5 Z& ^8 G8 c
              set wealth  wealth + Wealth-inherited-up ] ] : q: D1 n5 R/ s7 _. D/ z
: D! ?$ q4 D" m* m5 z& k
end* U! y) Z( |2 N' N
to set-initial-turtle-vars-wealth
" h1 v1 f+ g% J4 P) ? let max-wealth max [wealth] of turtles
+ |; E" q& F2 B% x5 F5 I          set age 0: N- t% Y) ]' z7 N: K. W& @
          face one-of neighbors4
( N. u' h/ |2 J/ e% A! r          set life-expectancy life-expectancy-min +
2 K: r4 t, ?8 l9 l  I4 o                        random life-expectancy-max
" N; E6 t; I* g1 L3 l) q          set metabolism 1 + random metabolism-up+ `2 P; I' v& V  m$ u) n% ~
          set wealth metabolism + random 304 l4 t* h& r/ G: D
          set vision 1 + random max-vision
, d" U* |0 h1 q9 z' r9 v# K- qend
) ^: e& v/ r0 @0 o2 X+ s8 g0 ?8 Hto redistribution# E6 i/ e% Z8 j9 I; r' O: O! i6 A
let max-wealth max [wealth] of turtles
: ]  a" t# q  n  l+ {3 Ilet min-wealth min [wealth] of turtles
& J, U1 d/ _8 t4 `+ g7 a4 ?9 C1 x- {if (wealth <= max-wealth / 3)
( u% R* P* T5 o) j0 V [set wealth  wealth + Low-income-protection ]' X3 y* K: A6 m7 Z' F$ s
end
  |: H1 i, \1 f9 ?; y5 s! G          ; a/ d+ e  q! \2 P) B
to recolor-turtles- u1 e( n# h. K) t5 @
  let max-wealth max [wealth] of turtles+ K  M) S3 ?7 F4 u
  ask turtles; K  {/ n" F  B. n8 \* o2 f% {" e* O
   [ ifelse (wealth <= max-wealth / 3)0 A) D) f5 l' D: g% H
        [ set color red ]
* x7 Y, F% r9 ^        [ ifelse (wealth <= (max-wealth * 2 / 3))0 k' i% {. S+ i4 K1 j8 D0 H
            [ set color yellow ]9 X5 c+ T; Z6 n# e5 E8 W5 D
            [ set color green ] ] ]
2 I' E, }  w$ u3 Q& w' ]/ s+ l ask turtles [ifelse show-wealth?
$ n' e) y7 @: K$ r6 c' ^" Z    [ set label wealth ]% ]8 O( a! t, i: J7 _1 o8 c# K3 ^
    [ set label "" ]]. [8 D: S. W6 ?0 B
end& E* S6 |4 v- q) L5 V# n
# z7 M$ d/ h6 b: l
to go
- Z1 i0 a/ ^- I. j1 d  ask turtles0 ^3 k: K( d+ \% p
    [ turn-towards-grain ]  
0 \& S$ w7 W" }  harvest
9 i2 V% O$ H* w) ]  ask turtles* q8 [# B8 Y! L2 y+ O" Z$ Q
    [ move-eat-age-die ]
0 V' W3 A4 `. o4 Y  recolor-turtles
+ B+ |7 \: X7 F1 Z  if ticks mod grain-growth-interval = 04 z7 b8 T& I2 O- f$ h
    [ ask patches [ grow-grain ] ]- ]4 A/ T+ e' y% g0 e3 [% D
   
. Z# L' m+ c6 i$ ~2 q& H1 G7 a2 X  if ticks mod 11 = 0
2 ]1 Q2 ^& v! r8 t, a/ M* G( J  [ask turtles* \  ^$ k  M9 m2 k/ G( H! {! @; Q
  [ redistribution ]]' A% v6 E. o" d: V. m  U
  if ticks mod 5 = 0' J$ K  _9 Q+ W# D2 S) p& v
   [ask turtles) A$ v8 ^# Q9 U/ f
  [ visions ]]
( h# s( _% N" U. ?  tick
5 L1 t- j: _4 O- v  update-plots# R! Y0 X$ q2 v% ]  k- G$ ~* h
end
& y; h2 z7 M! J& f/ C* Z+ Gto visions( s( t( d$ J4 x, {7 b) W
set vision vision + 1
5 v3 c. L7 ^1 wend
$ d" e3 D/ I! C7 }
! M! }4 i+ f) r/ i, k2 ]1 o1 |1 j& Q* \' q6 a' H$ X

* K" I: q% p. h( h: nto turn-towards-grain    F5 c. z0 a6 I: w
  set heading 0
' Y; _2 ]7 K# Y7 j  let best-direction 0
7 a4 V0 ?- g8 @/ s) ~! D% O  let best-amount grain-ahead
; Y4 w. M4 z$ X7 K0 ]  set heading 90
, w* |8 \3 X5 Z+ W  t: s4 z  if (grain-ahead > best-amount)5 S4 Y& K" @- q( p" t* |
    [ set best-direction 90. Z9 t3 o$ b% b0 Y. u: I9 V9 W# M
      set best-amount grain-ahead ]
* ]; z) a. N- l8 ~7 [8 w. I9 I9 ~  set heading 180
2 L0 _* Y( P# h2 X4 S+ I- C  if (grain-ahead > best-amount); ^9 A4 E) _+ U: K
    [ set best-direction 180
9 `! Q3 t4 t! ?/ a      set best-amount grain-ahead ]
9 z& s" f' ?! ?! t0 S0 N  set heading 270* ?: E& \  k) v
  if (grain-ahead > best-amount)% |' W% W( \% m1 L9 k. b' w  _& ?. M
    [ set best-direction 270
5 P. Q# ]) G" E* K      set best-amount grain-ahead ]. V( w# Y. d& e+ S. M" ~2 Q2 l
  set heading best-direction9 H' j2 e! Q% g" e0 {
end$ q/ [! l  v# d) ~

/ k# J/ U' u$ n. d+ ]% r/ }# J( k4 H" O
; ~/ P$ w1 {; S9 h/ h5 n& ~5 Vto-report grain-ahead    t/ ?$ ~0 i  T! v" S0 v& Z% q
  let total 0
4 f1 R6 U* R+ ?9 u8 y5 t* M  let how-far 17 T. X9 O2 N6 N6 z
  repeat vision' g% ~/ x& |2 i6 R, h* Y
    [ set total total + [grain-here] of patch-ahead how-far
2 d! C8 h* w, \      set how-far how-far + 1 ]3 C4 I: Y" n, r, S
  report total. X2 ?0 S+ ~6 j3 U9 |# Z
end
# L5 J" s& J* K) [9 ?! X
! [: F# H% D! o6 `, xto grow-grain
9 r/ Y  x5 F+ s7 v, ]5 Y  if (grain-here < max-grain-here)$ e" f) A, R; T/ z1 @3 U
    [ set grain-here grain-here + num-grain-grown# o9 J* x/ `: O4 L& b3 v
      if (grain-here > max-grain-here) 4 r: f2 \, o- P# C
        [ set grain-here max-grain-here ]
2 }* N& G& \: u6 w# a& F* _      recolor-patch ]
5 {0 R3 R# Q, B6 c- _! @end
) e& T  |7 e" l4 ~( A( k/ c0 [to harvest
5 |# Z( p* F! t+ _- P& v  ask turtles% ^  L" c6 d/ K& W. n+ i8 ?) W. A
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
* e( o: M' B3 Q( s  ask turtles0 c8 ^/ ^7 a' l
    [ set grain-here 0) H% y8 x1 y# u0 b* z0 c8 H3 v2 D& t
      recolor-patch ]
8 @2 j. S/ N4 ?0 N, y& y  5 ]# r% r% O* v* m. F
end
% i) Q! D) S( q" L1 v: e: q) m) ?! J) B
to move-eat-age-die  ( h+ M) ^+ d2 j/ ]( A$ O, }2 L+ C, I
  fd 1
* I; m% H, W, c  b' `  set wealth (wealth - metabolism), e' _5 s  E) V& W6 v
    set age (age + 1)6 H  b+ ^6 V. @" f6 w
  if (age >= life-expectancy); b" z' ]3 Q* R7 z7 B
    [ set-initial-turtle-vars-age ]
) i* P2 D$ p1 J  if (wealth < 0)0 p4 H0 G8 d8 x/ Y* z
    [ set-initial-turtle-vars-wealth ]' N% O' n7 p" M5 B8 V+ ~
    & a: e) }( i( L/ O
end
6 m) m: M  a- Q$ W: [( J7 ?  V/ ^: Y( E3 p7 t* D
5 e. d% W* k( B) _9 C0 N7 w  {
to setup-plots
& `6 @$ V2 @6 s  set-current-plot "Class Plot"
- \# u9 y5 ]: g5 |- q: M  set-plot-y-range 0 num-people) n9 o% O& J, W3 c' M2 T
  set-current-plot "Class Histogram"
) W* _4 v8 s& u2 ]5 v* y0 ]  set-plot-y-range 0 num-people
! T& Q! }# a+ D" k, A# T/ n% k2 d4 g. Rend
4 c. `4 @1 k$ {( d1 z  B! O5 e$ I( d; N- g+ Z" X( X+ a
to update-plots* O  y% u/ r9 H/ I; e
  update-class-plot8 c8 d. i. b8 Y. Q/ w2 q3 W$ t' h
  update-class-histogram  J9 w" d  f' G
  update-lorenz-and-gini-plots% x0 t8 k  L9 W# H8 t
end
; C5 g. b$ _6 s5 T) M9 i. D) H$ _" g9 h% H8 A8 p
to update-class-plot
6 `; |' ]/ X+ g; p, q* f8 H  set-current-plot "Class Plot"  U& D( \7 F% j! s0 W
  set-current-plot-pen "low"* ?4 a9 z: }  z* n1 D) u: e- {" x
  plot count turtles with [color = red]
2 q/ T/ C, V+ J' G8 ]' y- |  set-current-plot-pen "mid"
+ p! V4 }& h0 z5 J4 O( [  plot count turtles with [color = yellow]  W9 H, I( s( i" s5 ~" Z
  set-current-plot-pen "up"
8 P% e2 Y. Z0 _) R0 I# C) f, d  plot count turtles with [color = green]: s5 A4 @  j. [: A8 ?& l! x/ P
end( b% a2 `( U2 \# x! k

- P& m# i+ n. Wto update-class-histogram
! a+ N' F$ C5 t1 i  set-current-plot "Class Histogram"
! F* M) r  e( H2 d6 O  plot-pen-reset
- W3 q( I6 ]' e& x/ R7 z  set-plot-pen-color red
$ T/ y. ^8 g$ \4 n: d$ {- D  plot count turtles with [color = red]
+ w  b: x4 u' [$ g9 Q) {  set-plot-pen-color yellow
' C4 B" a# F5 N$ |  plot count turtles with [color = yellow]9 {- u! C# R! q: J$ Y! L$ U
  set-plot-pen-color green
: D! c4 r( ^! ?; C  plot count turtles with [color = green]
" r8 P' ?7 |: J& @end/ H) C9 d& Q3 p* h
to update-lorenz-and-gini-plots
' \, ]3 U% R- f, X+ T$ ?, J  set-current-plot "Lorenz Curve"
% C2 P7 g6 g$ n' l8 A4 c  clear-plot, T% W$ r( U; T) S+ n/ C, \

9 Z$ q3 x. z3 Y. F- g  set-current-plot-pen "equal"' j. K% p+ ~0 k) j2 r6 R3 ]
  plot 0
6 d# x7 g$ X- T  plot 100
) y" z5 A) _: i4 g/ q8 \  W! y- [& M# I7 }2 I
  set-current-plot-pen "lorenz"
! N4 l+ Y4 `9 u% h1 p) G) C  set-plot-pen-interval 100 / num-people7 c+ y6 |' n/ _' W$ H( n# |3 m
  plot 0* K/ B; M& _2 H6 g$ ]3 Y9 |

( p% [' [5 d, {) s6 |+ A) `# V  let sorted-wealths sort [wealth] of turtles
8 J  r' Z  {' R8 J  e  let total-wealth sum sorted-wealths
+ A/ ^/ F( O) @5 b! p  let wealth-sum-so-far 0, Q, c0 R% m! }! S
  let index 0
" s6 I8 [) t* {  let gini-index-reserve 0; |; w6 Q) R- _, y0 B

5 K' h5 Z6 E. h" K  repeat num-people [* v4 J7 I8 {+ R* K) l
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
! F( L7 K; B0 |- Y    plot (wealth-sum-so-far / total-wealth) * 100
0 M5 K% V( R, C    set index (index + 1)2 s, Q+ e3 Z- v
    set gini-index-reserve& N/ g6 t( e$ j2 Q/ E
      gini-index-reserve +
/ v; M" U. t& ]3 q- Z      (index / num-people) -3 {1 z5 u/ g" f( y, v
      (wealth-sum-so-far / total-wealth)
  h( g+ ?2 x/ S: b2 B  ]1 K$ u% K7 O. H0 {* D& K& Y+ u

* K& r, S0 w) W  set-current-plot "Gini-Index v. Time"/ {3 |/ A' i1 C- A
  plot (gini-index-reserve / num-people) / area-of-equality-triangle  p/ l7 x. T# A$ X% f) T
end
' Z( q) A! X5 `2 K: h! f; a) Qto-report area-of-equality-triangle8 a' [; V5 f4 C3 R
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)& V* [9 ?$ e1 V: b0 N
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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