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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
7 n8 u" B2 P$ x, xglobals' e. t$ y7 @0 B3 D7 p' m
[* P& N( n5 C1 c5 |# t
  max-grain   
6 E% F% z# f7 d4 m* J9 ^" x5 \" U5 h& ]4 ?  b
]) L% `3 w! _- ^: }2 V2 p' @
6 N) C/ _  w& |4 u3 V3 D$ Q) U
patches-own
" H$ _$ ^. o* K/ ]( m8 F+ E[
2 j8 x; \; {6 [4 C$ t# j  grain-here      . c- A4 q3 m  e) u
  max-grain-here  
3 ]& h: P4 h" M]
, g$ i( M! w2 d  u0 D
% ~% m7 F) p; z/ ~& ~turtles-own. r  l5 R1 p+ C' K! `
[* A0 z+ O. @/ S) ]
  age              
# i6 l* ~' z' z  wealth         
: x+ `9 p2 m0 W  life-expectancy  & P8 a+ Z( s# Y" B
  metabolism       3 X8 s4 y2 N. C1 ?( N" j$ h
  vision
/ P! t7 A: Z( U  inherited         4 s+ _( {5 Q1 k) }) F+ C' m
]
% A4 e1 |" m5 P# `5 W3 f/ e' X: l! U; i3 s& Q* Q% t- N
! O! L& j# H& o3 P& ]* V! O
to setup" x5 o  w' W- Y& I# N
  ca, T# b! Q* S2 N5 e8 {
  set max-grain 50# P. i! y8 \7 D1 t1 G: d1 [8 u
  setup-patches3 u% J1 b( [' G. k* ]6 H3 X
  setup-turtles. D9 P6 R# a3 Z4 f
  setup-plots( j" }) @. ?1 i& K6 l6 [
  update-plots
0 ~! n, E2 c3 [! n& Z+ [& ~end# H2 N5 B; a3 o/ G
to setup-patches0 {+ o5 A' O/ q, O
  ask patches
$ u/ W/ E5 \: L4 F  L8 E7 R) V    [ set max-grain-here 0
+ t) }9 i# q: P  K      if (random-float 100.0) <= percent-best-land# O9 D, c, r$ Q5 l% }2 v
        [ set max-grain-here max-grain
$ [" x+ N9 E7 H7 f9 V          set grain-here max-grain-here ] ]
" \; x) H, f% n( Y7 @7 O  repeat 5
/ e& f+ {% R9 D3 o2 @: e    [ ask patches with [max-grain-here != 0]
4 x! k3 T2 M7 z& D; Z, @        [ set grain-here max-grain-here ]- c! X9 _4 a9 x5 A
      diffuse grain-here 0.5 ]
+ a8 ^' z1 x; f  repeat 10
  b# ]4 M" F/ c9 H    [ diffuse grain-here 0.5]         
# o# p* N' h* [$ b* i  ask patches5 B$ k2 \3 `% o, C
    [ set grain-here floor grain-here    # y5 L+ q- ~* g) E
      set max-grain-here grain-here      ' d6 W* L1 x: ~# L0 |
      recolor-patch ]8 o# z  D: H: m4 [' e
end4 |* S1 T- \9 r- ^; Q
to recolor-patch  ( Z  s- V) O5 @' ^
  set pcolor scale-color sky grain-here 0 max-grain- e7 j5 b6 J/ V# O0 D
end
& E7 I( g9 h! ~# G4 Y* uto setup-turtles1 p5 ~" n6 Y9 {  Z
  set-default-shape turtles "person"
8 h$ k) U: H7 y" ~* W* E, c  crt num-people
0 z2 ]: ^$ v3 q" T0 r4 q; ?    [ move-to one-of patches  
# G. S+ u# \6 r  k      set size 1.5  , u; E- n7 @2 J
      set-initial-turtle-vars-age
2 g+ w# f& a; @% C% I      set-initial-turtle-vars-wealth7 F- B) O+ r5 @4 D; e
      set age random life-expectancy ]; K+ }3 g! U" g6 H
  recolor-turtles0 g% {$ f* {/ D' |/ F
end% w2 ~; V5 l" G/ B0 I. P: }( n! @- Q
6 t( {; U4 B4 J. X4 V
to set-initial-turtle-vars-age
* _! T4 R  [: D6 e; N9 p0 M let max-wealth max [wealth] of turtles" H' U0 L+ g3 E& ?+ j0 b
   
/ |. ~% W4 D8 d; L     ifelse (wealth <= max-wealth / 3)
9 W: U$ A/ z* c! o( c        [ set color red ! m# L; J9 {( u$ C/ [" }
          set age 0
) @# x3 z' B' h: z9 N% I          face one-of neighbors4 ; I8 q) t$ i3 Z' X9 R  f1 p/ v
          set life-expectancy life-expectancy-min +
0 A+ ^; Z2 ~' ~' a) N8 f+ w                        random life-expectancy-max
% J3 [8 ]+ I1 l9 f  y8 ]7 g- E          set metabolism random 1 + metabolism-low, Q5 [/ P% \( Y- H3 X% Y
          set wealth metabolism + random 30
, s* |6 g/ V9 `  `! l2 j          set vision 1 + random max-vision
0 s* d) V5 v6 L/ q+ ]             set wealth  wealth +  Wealth-inherited-low ], U0 {* ]) x. t! \  n8 B
        [ ifelse (wealth <= (max-wealth * 2 / 3))2 x) r3 N9 s9 |$ R- t! j
            [ set color yellow ! c5 j- ]6 d, h0 |
              set age 0, e; p1 f/ f! m& g0 x" k3 Q( \( j
              face one-of neighbors4
1 k9 E7 I/ O  z/ j+ S              set life-expectancy life-expectancy-min ++ Q/ C/ k/ _- Q# |
                        random life-expectancy-max + 1
# j% h7 k& z# e. o4 }, r" A              set metabolism  1 + random metabolism-mid+ k  Q% U. z, F3 u0 ]% A% g2 W. t
              set wealth metabolism + random 30
+ X9 X9 Q6 A1 [+ T8 S              set vision 3 + random max-vision9 Q4 B1 q7 v, i
                set wealth  wealth + Wealth-inherited-mid]
3 t! `$ ^' P8 d            [ set color green 6 I; U# f; o: ~8 n" d" R7 m9 V
              set age 0
; U' P/ b( e% N! D. C              face one-of neighbors4 % t5 c; s9 C8 v9 q  N
              set life-expectancy life-expectancy-min +1 u1 ]1 k4 L0 _& _
                        random life-expectancy-max  + 2' d: P: C- Z! d" D) T
              set metabolism 2 + random metabolism-up
7 c2 B0 [% c7 k) c% @3 v# @+ ]- Q              set wealth metabolism + random 30
# a' \  k/ N, C$ P* O              set vision 3 + random max-vision1 H0 \; O" z) X. |2 A' y" y( ]
              set wealth  wealth + Wealth-inherited-up ] ]
' l+ j' X1 ~. v& f' h - L$ j4 c1 T) F/ K& B9 I7 }
end
) }' d7 l" _! k' @* r7 K% l4 Yto set-initial-turtle-vars-wealth
  N; r$ {6 Q) O  S) \) v3 L/ d. C) E let max-wealth max [wealth] of turtles
( {$ H1 z0 @9 H5 @" p  g+ z" J5 d          set age 07 \6 c! j. L3 r$ _7 _6 S" f1 H+ @
          face one-of neighbors4 $ B3 u2 t; Z  }
          set life-expectancy life-expectancy-min +& f1 W; w) u0 a$ Q  V
                        random life-expectancy-max
1 {+ Y: b) g+ o: g# ~" C" a          set metabolism 1 + random metabolism-up. i" t' ]+ @# Z& t' Y3 i: ~/ c
          set wealth metabolism + random 301 u; ~  d. D5 C) |8 F/ q
          set vision 1 + random max-vision
- ]3 R: I; n2 O2 A2 ~: O/ Kend, r4 k3 k" n% N1 k
to redistribution
$ v# k/ K1 g: @let max-wealth max [wealth] of turtles
2 g1 ~8 |) H& blet min-wealth min [wealth] of turtles- P0 F& V* i8 c, i( h
if (wealth <= max-wealth / 3)% h1 B6 G0 Q( Z1 j* T
[set wealth  wealth + Low-income-protection ]
: p* X  h- W8 Aend  \; T# P! V5 j" u
          2 N  s) D- M2 l) W8 H" m5 q, r
to recolor-turtles
. G' \& D* k6 ]5 N/ i+ u+ s  let max-wealth max [wealth] of turtles
9 E. Y8 q$ e0 m1 ]' \0 e2 }  ask turtles
9 j: @# u4 `) O, P   [ ifelse (wealth <= max-wealth / 3)' }! t( q; e0 N! z
        [ set color red ]: G& t; C( K  H. B! [0 E$ Q4 `
        [ ifelse (wealth <= (max-wealth * 2 / 3))
1 m( Q, P" S1 T* J  F& Y( V; H            [ set color yellow ]
7 t& Y# x) ?0 x- E$ v; w" j( D, i            [ set color green ] ] ]
0 |0 E" l1 A+ h* y) E8 O% O ask turtles [ifelse show-wealth?
  x4 {% E  ?( ^    [ set label wealth ]  L7 W1 a. Y5 z8 ?
    [ set label "" ]]
- Q" H3 T. h% M) D1 K  f& s* jend6 X/ J  b" k7 k* M+ O' O. H

- b0 q7 L+ N1 H/ ato go
" t- n  Q/ n2 c% u  ask turtles: `: b0 D4 ]" v' I$ S, O
    [ turn-towards-grain ]  
, u4 H1 _5 F* t$ c0 m2 C  harvest+ [# ?1 h- E; s8 o) f
  ask turtles
/ s0 X' y" @0 g& b; k4 o    [ move-eat-age-die ]1 ^/ j: ~, A$ b! S
  recolor-turtles
$ q3 E& C" g/ T  if ticks mod grain-growth-interval = 0- Q+ o* M' }' D
    [ ask patches [ grow-grain ] ]) l$ R: ?, @/ L% `; x/ b6 |
   0 X) j5 t1 _' z: z
  if ticks mod 11 = 0. b% ~3 M! L8 L, y
  [ask turtles
5 M: I' ]7 ]! e1 o, S0 Z  [ redistribution ]]7 G9 E0 R3 Q% Q8 X1 J/ `
  if ticks mod 5 = 0
& Y0 T2 S. k% q, e) p- h: {   [ask turtles4 z% P9 q5 n. \6 \# k7 D9 u& L
  [ visions ]]% G1 y$ Z0 G& F) V0 r
  tick
1 D% j$ D+ ^" G$ t2 t/ k* K, j4 C8 r  update-plots* k: |7 C/ W9 k, j  p
end0 O0 K( W' B& C; U: f$ y1 k2 X
to visions
8 \3 Y. V" o0 P$ [ set vision vision + 1
# H2 _4 V, \8 V$ \end
8 o( V+ q. V4 }/ g* T
' O1 X% D9 b/ g( {# a2 L5 ^4 b  b4 B$ \

6 m" F9 K0 j2 u+ j( ~to turn-towards-grain  
6 K/ k( I) |+ y1 q) }+ l1 {: X% t  set heading 05 \! ~( b+ m3 n0 G& _6 `5 ~/ q
  let best-direction 0
  q1 G/ N2 U; p- o, a  let best-amount grain-ahead
) p) X$ A' ^" {8 w3 r# k; v( _* q  set heading 906 `9 ]9 |+ h5 O: C; s& a
  if (grain-ahead > best-amount)( g( B' d2 L9 f- f
    [ set best-direction 90
4 y# X% k" o, S8 D9 e      set best-amount grain-ahead ]
# k& l; L& z# ]+ f  set heading 180, f1 z" H: U8 R  l
  if (grain-ahead > best-amount)8 g; L; @' _0 S) O, I
    [ set best-direction 180# f9 h' I, v% n
      set best-amount grain-ahead ]% H7 e7 Y1 l0 {
  set heading 270
6 G1 w; E9 K% X4 x; a  if (grain-ahead > best-amount)
' ]3 B: A& h4 A% ]0 @6 y    [ set best-direction 270* Q- i0 f5 I0 o- S# w
      set best-amount grain-ahead ]( v3 x+ g0 D. Z  A
  set heading best-direction7 d) ~, y+ e. f5 i0 D. K
end5 e, c. M) i+ z0 W: n

4 ~- Q  Z/ n" y* G% V1 T! A8 h* j$ t' e: Y. h2 G
to-report grain-ahead  & V( t! S. F* Q' \
  let total 08 u1 C1 [* }% c; n
  let how-far 14 o1 c! W/ z& l0 S; P3 a
  repeat vision
2 w# j3 r  p1 r, R- d9 U: V; Y    [ set total total + [grain-here] of patch-ahead how-far
3 Y$ d, g! z3 O7 _. U3 J6 R3 b  |      set how-far how-far + 1 ]9 m5 a0 d+ D9 }$ D6 a
  report total
; |8 F) N9 x: _. q. |  _end: [4 B2 l6 C. I& h: N) r. b
+ ^0 h5 b. e3 |
to grow-grain % e  G8 w2 f5 f4 v
  if (grain-here < max-grain-here)
7 j- a* F9 t/ l% ?( o    [ set grain-here grain-here + num-grain-grown
/ K) X8 J: s1 o' ~1 U      if (grain-here > max-grain-here)
! J3 I2 p/ \% G) E8 d        [ set grain-here max-grain-here ]
6 [/ i$ f9 X! Q0 e4 j8 R; {( S      recolor-patch ]9 E8 n  T2 p! j, Y
end
1 S- Q6 }9 u+ p5 h" d4 `, h5 rto harvest7 O% \8 @; f& g0 C1 y
  ask turtles( Z& O( l9 ?8 j9 x: g
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
6 }0 R8 Y+ ?9 ]9 M8 l  ask turtles5 J# g( ~* g' A3 W! s
    [ set grain-here 06 ?5 h2 S0 ]- `+ {/ J
      recolor-patch ]; v! {+ q5 W. J& {7 ]
  ; M$ `; h! G4 o: c5 ?
end4 p* D; U$ y2 J1 u; a; c: O4 p
; _5 ]$ `1 S% f8 Z7 T. `3 F
to move-eat-age-die  8 W' e- p' \: q) N9 S, R
  fd 14 d: `" [% E; V) y4 l( A
  set wealth (wealth - metabolism)
1 {) q1 T" F; i% a    set age (age + 1)
8 F, n  C# `# X. Y( h4 k  if (age >= life-expectancy)
9 b7 B: j: T1 Q% p! Q    [ set-initial-turtle-vars-age ]; O# s/ e1 a- U  T+ D$ E
  if (wealth < 0)/ @4 `( G0 A! _+ U1 R4 ^
    [ set-initial-turtle-vars-wealth ]* ?4 d' U% U$ C* x3 s
   
8 P8 ~( e0 K5 i2 L  v% H5 send
2 p. O* M' k4 \# Z' U
+ S1 I0 g9 P2 t' ]) B: r( X9 r# R! D* k4 _
to setup-plots9 Y) a# G* `+ e# w$ ~; \
  set-current-plot "Class Plot"
! R, o7 k( j8 j7 w  set-plot-y-range 0 num-people
/ Z2 j( w% J: @0 c/ @  set-current-plot "Class Histogram"/ c7 y# c$ }) r7 Q" `) s
  set-plot-y-range 0 num-people! W/ b( s* o3 Q6 A4 c. J3 L' L
end1 `7 b+ X* P( N  s& B; j. M0 Q( e

# ?* O( p# f8 k3 \- e7 ato update-plots
  F9 I+ [# I9 g  L4 ], H6 X8 n+ j1 p  update-class-plot
7 ]+ [5 c0 C  ?& `  update-class-histogram: Y2 z2 q3 p) @/ v0 L! m- z$ b3 B
  update-lorenz-and-gini-plots
4 g5 I9 @0 _* P% f* E4 Dend" p" `7 O. ?# s% A
' w7 \. U% ?$ T" ?) m  [& _
to update-class-plot& r( p, l! ^, n$ h) ?
  set-current-plot "Class Plot"- r+ J7 W4 p# ^; i4 Q% y
  set-current-plot-pen "low"1 Z1 T* X: g4 Z* f( ]# X4 A- b7 D
  plot count turtles with [color = red]
  O/ G" ~$ B+ v2 W% [- \# e  set-current-plot-pen "mid"
# |* q+ Y- \6 _3 [  plot count turtles with [color = yellow]
+ _$ r" {& |' I  set-current-plot-pen "up"
, c( ]! X/ ?, B4 u5 N  plot count turtles with [color = green]
4 E8 m1 Q% F  m- f/ wend
( }, {1 a0 \3 k' X" y" K+ T+ ^* m! V( t7 O) y2 N4 _6 N6 [
to update-class-histogram
" D1 q9 h. q# J. ]1 y+ E  set-current-plot "Class Histogram"
1 U# x! j4 n; B4 s" m9 \0 ^" ?* o  plot-pen-reset' W! Z8 s) K. P9 z! u( e
  set-plot-pen-color red9 V- A# y1 q7 t. m, y' X6 `. J
  plot count turtles with [color = red]& b3 g. z$ e" ?. O5 A
  set-plot-pen-color yellow
/ @% ~* u3 [  d  plot count turtles with [color = yellow]
" G* i9 R. C7 g) E* j  c  set-plot-pen-color green* Z% z" B- Y& A
  plot count turtles with [color = green]
0 U: z# X: @- a, }1 c- hend* ~0 X* E7 L0 Y) X
to update-lorenz-and-gini-plots
  s) v4 t1 B' K0 T, A# F  set-current-plot "Lorenz Curve"
$ K& w7 }* r9 X/ s; k2 L& k/ Y  clear-plot  J, D. m1 O; C

) F$ j8 l6 i: \9 x( S, T  set-current-plot-pen "equal"* @% K* D/ X/ b* {/ T
  plot 0
: c( Y5 m2 I+ P8 E- q  plot 100: ~! a+ o7 L( D8 p* L% V+ W2 @. h% d" H

" O9 e3 }* z% n6 T5 E. N  set-current-plot-pen "lorenz", o$ \% ]) s0 U% d
  set-plot-pen-interval 100 / num-people
" N: b% i5 h' A1 ]( Q# C  plot 0
' \2 C0 t! u3 p/ T8 t# |  z( m$ L6 J5 ?  X
  let sorted-wealths sort [wealth] of turtles3 g8 a/ Q. X$ d  W5 d+ {
  let total-wealth sum sorted-wealths
4 a. s( H/ a4 p% ]( b9 X  let wealth-sum-so-far 0( ?! L' W7 ?( E& i
  let index 0
: T4 L! _+ @8 L( Z$ w% }; V1 ~7 {* c  let gini-index-reserve 0& H7 ^# I0 E/ j# C- t$ K! C4 C. j* e
' k% a  l; Q% T. f6 t
  repeat num-people [! [' L7 q- K* Y$ L4 D9 e
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
- ]( ]7 R4 B- s- x, _9 r( B2 C. X    plot (wealth-sum-so-far / total-wealth) * 100) }7 X1 `) d1 o4 Y0 d, y
    set index (index + 1)$ @# s5 N: y- w% D
    set gini-index-reserve, M7 X& K. W6 S% U! v2 c9 S
      gini-index-reserve +
0 `% I4 H, h& I# Q  m. b& }0 f      (index / num-people) -
- j% ?# _! v# v( _1 m7 o      (wealth-sum-so-far / total-wealth)
2 j+ e/ X! P2 c# e  ]
  B6 i( o, K. w$ n$ Z4 S8 r' W8 Y+ s) m8 u8 ~/ |  `
  set-current-plot "Gini-Index v. Time"
$ M9 ^7 u5 D4 s9 a  f6 r! B; ~7 O  plot (gini-index-reserve / num-people) / area-of-equality-triangle
( |* u# H' P! G8 ^9 |9 D9 q6 e- k* Mend; L9 Q$ n. |) r/ ]
to-report area-of-equality-triangle
2 O# X$ h8 ~% `  [, a7 u$ @  [  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)7 L/ Z  U. l6 t
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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