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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2 o  s% N1 h( }1 j( Z3 u
globals
: c. w& C) T: m! y4 w+ }9 B, j[
7 i0 R* x: N$ Z8 h& L3 V  max-grain    7 j2 e; Y' @" ?4 c& P

6 w9 k2 V3 [7 b; ^( @5 d" w]- ^) W3 L: @0 p" N6 j9 F% r2 m

7 |9 i7 ~2 P: A+ s1 ?& h" f4 wpatches-own
9 w# }. N+ v( ^) r6 }5 }[1 g, J2 B5 @/ O  c+ _/ j! T$ g1 c, L
  grain-here      / R6 _) z% V- @/ g& d# A! A
  max-grain-here  
% [4 B6 {9 E1 ]- Q7 w]/ v# ?2 |2 K8 ]4 J: E2 p9 {
  T3 G3 T' z; [. v1 l) j# s
turtles-own& a  j" L, `/ ~* i- R8 A- m
[
' {" h! X  T7 d9 s- Z: L' S+ E  age              ) R) P$ X6 u  T9 H, G$ ]
  wealth         ' p* }' u# U  _
  life-expectancy  
2 }" w: t8 g, ^- E; p! i1 }, K  metabolism      
' d2 P2 P  p3 p5 m) w+ j2 C$ p) E  vision5 d7 D5 h0 r. j0 ?0 w
  inherited         
6 v) @$ G& u* m]5 z) S$ C% i( O2 S1 u
( f0 T6 m/ c2 e; A3 S: o! Z6 o9 g

4 K$ D& M+ D8 v5 c$ F1 w) cto setup
0 \) ~* c0 Q; A( v7 j  ca
$ y- N, G! i; ?) g- H  M4 ?, L; Y6 H  set max-grain 50! B3 q+ x$ ^9 s/ v  M6 j/ ^3 k7 {
  setup-patches6 H3 Y2 F- ~; i1 i8 I+ A7 h
  setup-turtles
1 r8 f; {: ]+ u  N4 R  setup-plots
5 W* `+ K' h9 n4 F. s  M  c- E0 l  update-plots
# A) }& S- c1 q+ t1 U0 ^end
$ ]$ w) b5 @& cto setup-patches, ?$ o. K) ^& j, U/ T2 i: ^  k
  ask patches
9 F% s8 S1 X+ l% B7 l0 I4 @    [ set max-grain-here 0
' t2 q2 u: F7 C9 b      if (random-float 100.0) <= percent-best-land# W/ T& f) K5 m
        [ set max-grain-here max-grain# L) p: w1 C, z8 v
          set grain-here max-grain-here ] ]
( A2 j4 P0 Z  X5 B" u  repeat 5" y- P1 u: {/ H0 }3 J! U
    [ ask patches with [max-grain-here != 0]1 k8 L& c1 H1 R; y7 e+ \  S# V
        [ set grain-here max-grain-here ]. ]+ j6 x; F9 I1 I' v
      diffuse grain-here 0.5 ]! Y0 N7 m7 p  O5 T+ c1 Y: b
  repeat 10" r: F2 T) [- ^1 u: m
    [ diffuse grain-here 0.5]          5 u+ _; @' y9 l8 H8 x3 p; d
  ask patches( v5 p* P9 a  L, g" j' e8 p
    [ set grain-here floor grain-here    4 O/ ?' |. \4 b. K
      set max-grain-here grain-here      * s1 H% r# W" b3 h4 ^; W) X% ^1 X7 `
      recolor-patch ]
% l  J- B/ I. j* h2 i+ Fend: n$ H/ j$ A  o8 z
to recolor-patch  
, i7 @/ g( d: E  set pcolor scale-color sky grain-here 0 max-grain$ \$ \' ]+ H' r8 m
end
1 t: a4 a2 z% P% X, kto setup-turtles
0 q  z% m0 k8 A, U% W$ |- {' U, N  set-default-shape turtles "person"
1 D3 t- L# F7 E5 }, }% f( x  crt num-people1 B3 ?) y1 D( k' O$ E! X& l  A
    [ move-to one-of patches  
" ^" o. H: ]9 m9 D9 I+ V      set size 1.5  
; {6 D% h* ^1 b& T! W; U      set-initial-turtle-vars-age3 H6 _4 k( z' Y9 K; v1 j: x3 A& |7 ^9 Q; s
      set-initial-turtle-vars-wealth
; C+ ?- W$ n! C( m3 ]- }7 e  B9 I: l      set age random life-expectancy ]# Y4 u6 _5 E: ]$ {1 k2 o$ |+ y
  recolor-turtles
' K. q) E7 `! ?0 m; G; eend
3 [+ w: v+ z; r: h7 |7 I  s$ q* O* w3 X& M
to set-initial-turtle-vars-age
) z6 q9 P; j9 a0 y- y let max-wealth max [wealth] of turtles
  T8 Z9 g6 A  t6 ]6 W% d! i, R    5 L2 s7 e! C8 |! G3 I, G  Q
     ifelse (wealth <= max-wealth / 3)0 C1 U7 c6 f5 W: W
        [ set color red 6 x: o' ]3 ^2 a* K& f  {1 ]
          set age 0% l# y7 D. ?# q
          face one-of neighbors4
9 O) s3 }' \& p: L9 e1 n% t0 N          set life-expectancy life-expectancy-min +6 O. x, o$ ^- ]* K! a; S5 @, t% U6 y3 h
                        random life-expectancy-max 5 Q) E+ F2 |% y5 }5 H, F- K+ b4 {
          set metabolism random 1 + metabolism-low
9 X5 \  c9 v& l( }9 u3 G$ C! k7 P# F          set wealth metabolism + random 308 m1 S5 M+ I/ b
          set vision 1 + random max-vision; b6 }0 i) y( ]
             set wealth  wealth +  Wealth-inherited-low ]
" D1 b* t( c  ]/ x+ f0 S3 N+ ]        [ ifelse (wealth <= (max-wealth * 2 / 3))
2 R7 w3 P+ [( |/ c2 C0 i4 v- [  V            [ set color yellow ) j; ~5 k" a4 s
              set age 0
) a+ ^* `9 A% {+ K" ?              face one-of neighbors4
, x. t  u: \; D! Y& n              set life-expectancy life-expectancy-min +9 }0 C* R* a! t! |, s
                        random life-expectancy-max + 16 z! U$ Y% f$ ^% Z
              set metabolism  1 + random metabolism-mid
8 t" @8 B& _3 Y# o+ B: Q3 l3 |: e              set wealth metabolism + random 306 }1 w. H9 v0 }1 T: s& {1 t$ ?
              set vision 3 + random max-vision, s8 x2 E, }9 ^! p
                set wealth  wealth + Wealth-inherited-mid]: {& {+ J! i& o
            [ set color green
4 g: Y6 S7 ]- _- ]$ A. p) j. q3 w              set age 0
' b3 {. N. d; ~) W, g! f# z( L. A# }              face one-of neighbors4 9 f$ a& E9 [+ O" G: V
              set life-expectancy life-expectancy-min +
5 P2 p/ l* a; Y5 r, c) K9 ?2 V                        random life-expectancy-max  + 2
3 N; g1 r# O# q              set metabolism 2 + random metabolism-up
) @1 Q8 d5 h9 o. g$ A              set wealth metabolism + random 30
4 d, ~# y+ {8 Q              set vision 3 + random max-vision. F  q/ S/ L) L: E
              set wealth  wealth + Wealth-inherited-up ] ] 7 ~( [- W5 {$ e: q$ p7 Z
1 t% \6 ]6 ?" p6 m) t
end6 x: K( s# u0 i9 W& S) ~+ l
to set-initial-turtle-vars-wealth, j$ d/ T9 o5 x3 U
let max-wealth max [wealth] of turtles; X( R* V; G/ d5 x
          set age 0' N" F# E( {0 d; S( k# G
          face one-of neighbors4
8 u5 O0 T7 J+ M: E          set life-expectancy life-expectancy-min +/ ~, b' l! y, [2 p! M6 Z
                        random life-expectancy-max
5 `, z! A; q6 h  y          set metabolism 1 + random metabolism-up2 t* t) f8 g7 c5 E
          set wealth metabolism + random 30" Y6 N1 j2 r. I1 f  `
          set vision 1 + random max-vision
9 D2 H0 D: D% P: r9 send
1 ]5 }% R" F5 D0 I' P2 x0 F# ]to redistribution
1 E) ~$ ~/ k1 C8 r$ N6 m3 G' `% Plet max-wealth max [wealth] of turtles
& Q  Q! R# U+ L( x, ~1 qlet min-wealth min [wealth] of turtles
# G: m. y- `- j8 J" aif (wealth <= max-wealth / 3)
6 p0 s/ Q  {) Z& R [set wealth  wealth + Low-income-protection ]0 T7 r( k9 d: \2 q6 f: g7 e) n
end0 F. H+ a- l5 B: d& Y! @$ u
         
; B( F$ `, M7 |+ \' g. Nto recolor-turtles
5 _: Q6 E9 P4 F+ m1 }5 a  let max-wealth max [wealth] of turtles. z2 z% y  r8 @# G: O6 b# v) ]
  ask turtles% o9 @, p/ i/ b2 c6 X
   [ ifelse (wealth <= max-wealth / 3)& S/ P3 w: K( p+ `8 m
        [ set color red ]
7 ?& x* n: i& C* l# G        [ ifelse (wealth <= (max-wealth * 2 / 3))
7 u, H0 B3 R2 ~' y! O( ?            [ set color yellow ]
: a4 E5 v3 z5 T5 y  L4 _( q            [ set color green ] ] ]
# o9 a% G; s6 c ask turtles [ifelse show-wealth?2 l4 D" I& y/ W5 a& m. k+ u
    [ set label wealth ]
7 x% a9 a9 A* a( X& f! v# A7 R) @    [ set label "" ]]
+ {, V- }3 J* _end. W" G9 j4 }6 A

" s( g# r8 M+ `1 c7 bto go4 j- T$ h" N1 y4 w2 ^
  ask turtles
& O% C# U; U! M% }    [ turn-towards-grain ]  % t( a2 y: t3 Q; ?; U9 ]5 r% z! }5 B
  harvest
$ H  [2 j3 l& w" M( M5 }  ask turtles
* @( N0 ~7 c$ J5 C; B4 K    [ move-eat-age-die ]' w8 e. v9 v5 U. P
  recolor-turtles% r. a+ n" v# i1 L- k# j
  if ticks mod grain-growth-interval = 0
  z1 @' w6 Z( u) j) \    [ ask patches [ grow-grain ] ]7 P* r8 Z, {% I  Y9 h3 a$ n
   
8 S$ ?: W4 B& m  if ticks mod 11 = 0
& w& o6 r$ g" i+ P  [ask turtles
: M( B1 ^& K: G  [ redistribution ]]
# f' a. `5 F, \. W, Q! i" T; i& n  if ticks mod 5 = 0# \$ q# U# v) d! Y
   [ask turtles
) ?# ]4 H8 c( Q; O5 w  [ visions ]]2 C% c  W; t; _4 I; A2 C
  tick
+ b5 k; k* P: I- b6 _* l9 W  update-plots
6 g& M+ l- v; \( j7 Jend
4 E+ |) l8 T1 u) j* qto visions
. \% i) {" t: d" `! T' O. r0 @ set vision vision + 1
8 `/ J. v4 e6 `) d* R0 b! ]end
$ e1 a4 O2 ~0 B# T6 i+ D
1 w* l3 T& r% e' G; z! d1 i. |8 F$ _
/ ^; G  q, G! ~4 n+ ]& }2 }3 {. q& d8 Q0 g3 y/ P: s
to turn-towards-grain  
# A: {* Q. U( X+ ~: d; H  set heading 0
$ S8 Q+ \2 C7 t! a4 |  let best-direction 0
+ @4 U: r1 p, \* T& u0 x8 r  let best-amount grain-ahead) Q* e2 h7 ], H8 l. x
  set heading 90* Q- B2 p! m/ k) O- f
  if (grain-ahead > best-amount)* s, ?/ J: x2 \+ K) `# s
    [ set best-direction 90% D, f- T  D( X# N( N
      set best-amount grain-ahead ]
9 \, g6 o' ^* B* B3 ~  set heading 1801 r. X2 e+ d8 {7 n6 K
  if (grain-ahead > best-amount)
4 f$ E2 b  b6 @7 Y' y2 X5 m    [ set best-direction 180* L% _+ \% ]& ]% r
      set best-amount grain-ahead ]1 C" A  M* T# x4 {3 }; y
  set heading 270
. ^9 j$ b. l! l3 f6 v: n; T  if (grain-ahead > best-amount)
5 }" O# O# |2 b$ J, |  L+ X4 q    [ set best-direction 270
1 J8 A1 b! ]6 [      set best-amount grain-ahead ]
, b7 p0 O! S0 r4 s- O8 Q9 _1 B  set heading best-direction
6 V$ O9 m: D/ c) Lend' t" f9 G; ~4 t) s: d

7 O4 a4 D! N. D
  i* p6 T% D( g) `/ y* e2 c0 wto-report grain-ahead  4 J7 ]8 J$ G" ~9 k9 g, w
  let total 08 r" ?0 ^; G& Y" o( R1 T; Q
  let how-far 1
0 ?! j% w& d4 f. n3 c  repeat vision
% t$ n6 Q8 X5 q4 V    [ set total total + [grain-here] of patch-ahead how-far4 |# I$ r) ^- R& V
      set how-far how-far + 1 ]
1 V4 D3 v4 w& M6 I/ o  report total
0 E. L) f  c, Z# W, p) cend
8 L6 G% s6 V: J+ Q
' Y! ?. A0 S& f' K6 E" e; v3 z8 Ato grow-grain 6 h& {5 D; \) l
  if (grain-here < max-grain-here)
6 @/ o  P6 l8 b9 n. P, r$ R    [ set grain-here grain-here + num-grain-grown
$ h6 e' i$ T; v, f( x1 L( e3 ?2 q, k      if (grain-here > max-grain-here)
: Z* H$ P, l0 P( R# m        [ set grain-here max-grain-here ]4 H& a9 |8 K5 |, }
      recolor-patch ]' o7 O& ]' |! [' b; A5 f
end
* \7 f% A0 V+ Wto harvest$ C/ @: U  A8 h
  ask turtles
7 u# d  I! O$ L6 |* ]+ M  r' [    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
; i& Y  }7 T7 [6 V: l; F  ask turtles
, _& Y1 o# o" V: g0 s    [ set grain-here 0
$ C8 ^$ }7 J+ ^3 [2 |9 V+ a5 }& f      recolor-patch ]
0 f# X7 }% J! n! }% W" {4 }: i" ?  1 y6 L3 M9 |. i; @+ q* z
end
! i: W3 T$ h& D+ s3 J
2 z$ ^9 f, \2 I1 Lto move-eat-age-die  
1 I* l9 z4 H; j1 A3 R  fd 1
" g' Y. ]+ ^8 J* O  set wealth (wealth - metabolism)
5 c- z" @4 e) k6 H* A5 O# R4 f    set age (age + 1)0 A& E/ p, a: W8 o! w8 {; j
  if (age >= life-expectancy)
- Z' [9 U$ E2 ]    [ set-initial-turtle-vars-age ]
4 f+ i! L9 H. ~" ^4 H7 ~  if (wealth < 0)' e' f. g; Q& h. F. c, x6 s
    [ set-initial-turtle-vars-wealth ]
) E# T- q# |2 H* w$ @3 }. w/ f   
0 H: W6 x  |% R, {; B% l* q9 F) c$ oend( S5 X5 s( O: o0 }9 U) C4 l- N

( H" V/ O8 x0 ?( x5 V8 y9 I/ f* m# N2 i
to setup-plots( [/ M6 f: i( L2 v' J; o
  set-current-plot "Class Plot"
1 ?- O9 C* l1 L  set-plot-y-range 0 num-people
' @! A+ [3 J# q- @# F5 p/ [  set-current-plot "Class Histogram"
- Q1 j; c8 i& C/ ?8 s% ?  set-plot-y-range 0 num-people$ a% ~( m- w2 N9 m6 M3 f
end  f) ]) k: ]* F; r
2 I6 J$ Z. `. l
to update-plots
! Y& w- i, R; p9 Z3 o" D( I  update-class-plot
1 |4 o- \# [5 I, R: O* u' A2 J  update-class-histogram
1 o* g7 \+ n* m% Q' J0 J! ?  update-lorenz-and-gini-plots9 d8 g1 A9 y/ z5 ^7 U
end6 A$ K, q, U+ P. b
! m$ T& c0 B6 e4 K2 `6 j
to update-class-plot/ N# J+ Q" e" P4 _6 v8 w
  set-current-plot "Class Plot"( ?$ s- ]& t4 F  G: Y( M7 ]
  set-current-plot-pen "low", B0 m4 b* `0 i9 ]- u
  plot count turtles with [color = red]. e+ o) d$ T1 C+ b
  set-current-plot-pen "mid"
5 i/ J5 \! l% L# [& C  plot count turtles with [color = yellow]
" n( i( C0 `0 l! T  set-current-plot-pen "up"
4 h( J% V4 d) Q  plot count turtles with [color = green]
; A/ V* |2 J2 C) y! q0 t# Pend: N+ V% ?4 W8 @) o
+ _, S/ [2 i6 \% o9 [( I; ~- a
to update-class-histogram8 C3 c. D, o+ S+ h# N6 d- Q
  set-current-plot "Class Histogram"1 Q( u6 S& s' u: B
  plot-pen-reset' m- k- J- Q4 g: T5 y- a6 C
  set-plot-pen-color red
& F0 B4 ?0 s4 V1 ^% s  plot count turtles with [color = red]
- `, I5 }" N  I3 \% w0 w  set-plot-pen-color yellow. ^/ i  Z# i( Q, o& J
  plot count turtles with [color = yellow]( N% V, A+ L, S1 [8 X. B7 `
  set-plot-pen-color green
* {6 X) T6 z* G6 ^. F6 x  plot count turtles with [color = green]
" i6 c( H3 G! Zend
4 W+ b6 Y3 x8 K2 K. Ato update-lorenz-and-gini-plots
+ U9 a+ P3 h5 Z2 \  set-current-plot "Lorenz Curve": ]/ K+ I7 I7 B5 L
  clear-plot+ w& X  k* I1 O- P" F* Y+ S3 S+ F

3 u4 q/ D8 i/ A+ F% a  set-current-plot-pen "equal"
! d+ [2 o! L+ M  plot 0
; w; U4 ^" M. j( y6 j  plot 100
$ Q$ h* D: \9 R% R! g* ?) K
3 r) [; w/ ]- @8 f$ U5 E0 w  I) L7 d  set-current-plot-pen "lorenz"
7 e; N* o6 U/ E1 W3 E! s% x  set-plot-pen-interval 100 / num-people
( A1 M, `$ [6 V  plot 0
4 I& C! O- t6 ?. K8 t! ?- A) D) I: j: s; T4 ?, B' Q
  let sorted-wealths sort [wealth] of turtles
! g! H2 _( h) j# i/ Y  let total-wealth sum sorted-wealths
- j2 v% g! ?/ m! |: P+ B" g2 m8 e  let wealth-sum-so-far 0
+ p. m; I5 F" l$ [$ x4 I0 c  let index 0. `& Z) Q( D. F2 l. E
  let gini-index-reserve 0
, {8 S! P4 O& S: W& A$ q- z2 f' O; a2 t8 t! h. Y
  repeat num-people [
9 W' w! \, M$ ^" o/ e$ \    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
1 O! z3 N, }! o% m$ s+ F    plot (wealth-sum-so-far / total-wealth) * 100
" P7 D2 C1 M. _8 C! c    set index (index + 1)! j6 i4 {+ J7 B# t
    set gini-index-reserve* |7 i& t- A$ m3 A* m
      gini-index-reserve +
3 {% ]' h0 I" ]8 t4 @' Z# I      (index / num-people) -) S# e$ X' l# K  j
      (wealth-sum-so-far / total-wealth)
: k4 A+ t$ O: E/ ]- j2 Z: A# d. N  ]
; T" |# w1 D0 a. X. a3 ]! n: a% C' U: w) }
  set-current-plot "Gini-Index v. Time"2 j3 j  |! Z# n( d2 R$ \! J5 b
  plot (gini-index-reserve / num-people) / area-of-equality-triangle' ?9 Y6 |; n/ l" N( _: E; h
end; a% K$ t$ w, v& t/ j% Y; L
to-report area-of-equality-triangle# i6 ?' l% C8 ~- E8 C. h8 m
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
9 N: ^, f: p- }; Iend
 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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