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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* M  B2 m2 b- `/ p6 L9 l0 A
globals
2 B+ A& G& }. q[
0 C; e) H( Q6 B2 t  U" P3 W& {% v  max-grain    - e" r! |+ V+ \- r0 O

+ }* |! p( K, h0 T]
  _/ P3 q2 @9 G2 ]( Y) Q$ A' g" n9 G2 T! y5 ~$ m% P) l
patches-own3 p8 C$ A+ x  M! z6 b
[
- d9 Q9 M4 s0 `  grain-here      ) e" j0 a4 p" I" R7 Z" n$ F( ?
  max-grain-here  
4 z7 c# T4 D9 k* u5 P* s]5 p% h" H" h/ l4 Q' N. @: b
$ p& ?. g* o4 H/ h9 S
turtles-own6 ]) T& I8 J+ p3 b- Q( g, Z4 W' x
[
4 h8 m( X' N9 R: h; E: K6 J8 z  age              5 W2 F/ D; [9 d  t& V' ?/ ~0 \
  wealth         * t  x3 M9 c: j
  life-expectancy  
4 f( \* |0 _# A8 J: a  metabolism      
" U! o9 g! _" j: Y- X0 {9 G/ h  vision1 E8 N0 B- |% B# R- l: o. u* ?
  inherited         6 {* i( s+ I9 b- [6 h
]
  d0 j0 R) }7 s
- D! T2 W  w3 u2 k/ S. m6 ^. d* ]. v
to setup' s8 J- P$ h- ^1 ~2 s5 |
  ca
( o6 y# @, t# ^9 m  set max-grain 50" n1 j$ l% _2 |1 {( o. P
  setup-patches
, y' ]" f9 p% }1 c8 o  setup-turtles" V& ^8 A! p; L$ G1 E/ C- Z( }+ c& b- [
  setup-plots
6 U0 ~# I4 W" {) Y' `* M9 ]  update-plots* c" U5 C  J0 Q& v
end) \7 Z4 n! x5 ~
to setup-patches
& Y3 B) L: @3 B  O+ j/ C: |4 m  ask patches
. g' N( c5 M& E  \6 A9 u    [ set max-grain-here 0( E0 ]' A0 x9 |0 k6 U
      if (random-float 100.0) <= percent-best-land
+ N# h0 s8 |2 ]        [ set max-grain-here max-grain5 n" I/ S- q+ Q1 _7 h
          set grain-here max-grain-here ] ]
) s5 R6 U6 k$ ]% e' J9 C3 e$ Z9 r1 O  repeat 5
- e$ ?0 M; c) N; H    [ ask patches with [max-grain-here != 0]
) ^  ^' v5 i- r1 {) f        [ set grain-here max-grain-here ]
; {, q6 M/ e# y* j      diffuse grain-here 0.5 ]
1 m- W" b$ |0 j; }6 t$ e  repeat 10
. m) {: U9 {% R- `    [ diffuse grain-here 0.5]          ) Z' Z2 ~0 z  z8 ]& p% A* N
  ask patches
$ G0 f* s4 B8 r7 s/ q    [ set grain-here floor grain-here   
  E/ M7 q  X8 S3 f5 g$ \$ z      set max-grain-here grain-here      . o5 I0 F* U5 {- C0 r
      recolor-patch ]
; f$ @* W/ ]' d4 u- c: c8 u2 }; Q$ Cend) M" ~( H! Z( Y/ C) G# b% z. m; R
to recolor-patch  % J6 J% |' d6 i0 h7 ], r1 k
  set pcolor scale-color sky grain-here 0 max-grain
5 I$ N- n9 ]9 U+ @9 C& ~" lend+ r. l( @% A3 d( F6 Y
to setup-turtles/ C; s& Q4 K6 V
  set-default-shape turtles "person"
+ @% K+ D- R, f7 g  crt num-people
% ?1 T( W- U1 }& u8 O! w    [ move-to one-of patches  
7 n+ b* R, P! O! t3 l9 Y- X+ L      set size 1.5  
+ }* }1 j& r% Q' F/ I( o+ `      set-initial-turtle-vars-age
2 f/ ~8 s1 Q. y. H& ~( f      set-initial-turtle-vars-wealth
1 ~3 V  j7 f) d3 `2 L7 d      set age random life-expectancy ]; L; p! e6 |" Z+ S6 Y
  recolor-turtles& ?! ^9 @: M3 [" E. }4 D, H
end. }) n  J. P$ b

% @1 L% n& h' S) e4 g7 `) Y' Xto set-initial-turtle-vars-age2 Z2 X6 z5 |* ^% U3 h4 m  e. @
let max-wealth max [wealth] of turtles' H3 k0 O* A3 U. F0 f% z
   
: x7 v4 r* |) O1 R7 U# C+ K- s     ifelse (wealth <= max-wealth / 3)
. x8 u5 {  G9 \) L3 X" X- Q8 {2 i        [ set color red
* ^& O- l0 ]% `7 ^' I          set age 0# m# j- r% r+ I' [3 U3 N
          face one-of neighbors4
! f( m- T. P: R" X" u) Z/ c          set life-expectancy life-expectancy-min +
" R6 `/ O7 ~1 h2 g3 ^                        random life-expectancy-max
/ ^) a% ~" z* @: I2 m4 S$ K+ J8 k          set metabolism random 1 + metabolism-low
. \! H! v% ]- g1 Q" h          set wealth metabolism + random 30$ N  u/ ?4 ~  ]: l& B+ h
          set vision 1 + random max-vision
8 {- d( Z% d6 h+ E# i, z$ Y             set wealth  wealth +  Wealth-inherited-low ]- g. \5 n+ ?1 @( U& e' a
        [ ifelse (wealth <= (max-wealth * 2 / 3))
: H; V$ j' t3 S8 z, [            [ set color yellow
6 A+ a$ m# ?  i8 w: ?              set age 0
6 Z' b0 J2 g/ h3 _( _8 L2 T, X              face one-of neighbors4 - K0 G. ]" C6 S% B
              set life-expectancy life-expectancy-min +. c7 o1 r' Z) Z/ X9 q- {! l: ~
                        random life-expectancy-max + 1/ Q$ B4 }$ i+ z5 y" t: b/ c3 c
              set metabolism  1 + random metabolism-mid
5 K7 `3 b) w  R/ I5 d4 a$ B              set wealth metabolism + random 30
8 |1 ], H' d# E& e9 L              set vision 3 + random max-vision" u; n$ y/ a; b( z; {/ w5 Z+ C# S% m
                set wealth  wealth + Wealth-inherited-mid]9 t! b' N: T! A/ G8 L  ]
            [ set color green
* q( k# d6 w6 n, K1 e              set age 0( ]9 v3 k' o# Y! \
              face one-of neighbors4 ' l4 C# j, Z" Z/ _% o3 I9 u
              set life-expectancy life-expectancy-min +4 ^. P; ^5 p: [" r; N
                        random life-expectancy-max  + 2
# Y- q$ I; A3 Z4 y! I              set metabolism 2 + random metabolism-up
( d, L0 s  h; Y, M7 ?              set wealth metabolism + random 30
% r4 N0 E, G% z2 Y& |: a* p              set vision 3 + random max-vision* O7 H6 `4 k5 E' d! h
              set wealth  wealth + Wealth-inherited-up ] ]
0 Q( ^5 b' `! ~  r- A ; O; y1 j# L7 h' j
end
  g4 p+ s4 y" V+ c, w% Jto set-initial-turtle-vars-wealth/ p8 v4 K# _: F) s1 ^& g
let max-wealth max [wealth] of turtles
/ P$ W6 x/ J% B( ^' L# C% v* Y          set age 0
, Z4 L0 Q/ e+ G! y          face one-of neighbors4 ) i. A: I$ b! W1 {, L
          set life-expectancy life-expectancy-min +
" O( m0 C0 p3 s! {5 D/ p0 b8 \                        random life-expectancy-max
9 H1 n' H- J# K          set metabolism 1 + random metabolism-up7 ]% [3 \3 Z' S8 P
          set wealth metabolism + random 30+ }  {6 N; N, I8 G
          set vision 1 + random max-vision * Z1 P7 I+ L) z, s2 A+ w$ G6 p5 }
end
( d  I6 ~; `6 C1 y  Rto redistribution2 O( J/ T7 J1 F, @: A: C% P
let max-wealth max [wealth] of turtles
3 @/ b* h* I6 W  d7 ^let min-wealth min [wealth] of turtles" X" x5 s2 l4 D
if (wealth <= max-wealth / 3)/ d. v  u; k( O
[set wealth  wealth + Low-income-protection ]3 j# c6 `, j* M1 H! M0 G7 o7 {0 l, P$ n
end
) T9 K$ u/ p) x# V( I         
; @- Q1 K3 S4 ]5 j8 K/ q1 Kto recolor-turtles. H2 h1 x) F7 d) l
  let max-wealth max [wealth] of turtles( T" S8 A* n/ F# A: x& B% W
  ask turtles0 I  t6 z+ c7 R0 |, A. {  _+ N
   [ ifelse (wealth <= max-wealth / 3)$ [3 o* I2 ^; R4 u, Y( z7 @
        [ set color red ]
8 O' G5 j9 E, ~2 i        [ ifelse (wealth <= (max-wealth * 2 / 3))
7 z* b: p* z  o: u# d/ H4 z  n8 g            [ set color yellow ]
% r3 l: H/ ]( O" x7 @            [ set color green ] ] ]1 D4 [3 \& f/ g6 g( t
ask turtles [ifelse show-wealth?
6 o6 A+ u6 ]0 u; |    [ set label wealth ]* L4 u8 f& }3 }/ ?
    [ set label "" ]]6 S$ C' q* ~2 j/ t
end' }8 `5 P- r2 c; v$ P  c2 o' w
5 {3 j* D! k# v7 C
to go; B! s7 X  G3 E
  ask turtles
, i# q% r2 S) E; Q# u$ L3 E, X    [ turn-towards-grain ]  
  C7 t7 J4 X7 c  harvest
; \. |4 J. t  }& ^- n  ask turtles- u1 e) p1 W6 F- y9 k$ {8 ~
    [ move-eat-age-die ]  f* w/ h8 {% V& b: d+ [; H
  recolor-turtles* {$ `5 E7 R+ ?1 v
  if ticks mod grain-growth-interval = 0" @' s5 \6 R) _) Z
    [ ask patches [ grow-grain ] ]
9 V! g; T0 Y1 k& Y  S   7 @" h: \! m4 F4 ]- }) e6 V
  if ticks mod 11 = 04 J! g  Z2 m8 c9 t! F  L
  [ask turtles
1 X1 a+ [9 G, I& J  R# B/ [6 D' w  [ redistribution ]]
; d" x. \1 r$ ^' y2 R& W5 m$ z% W  if ticks mod 5 = 0; T  |" W6 Q% K3 t7 z4 `$ B% j
   [ask turtles
; B: B3 O0 I6 I2 G  [ visions ]]
& i* D0 }3 a2 K7 d7 S+ x  tick% ?( @) [$ j8 R7 |0 t0 h
  update-plots
0 K9 v+ D1 e# U# c6 p/ j' }# Gend
* f/ \3 T! T9 N6 |3 M3 x4 x5 {0 }to visions3 F) h# V% u  c0 ^& }- K
set vision vision + 1 % t& V, j0 \- `5 `
end
3 t' z* M6 ^) L) J/ i( b- R- ]' C) y/ Z: u/ |. o

1 ?7 c( h7 c& {* J* [$ L, F! X# w) g/ p  o7 @7 Y! i" b
to turn-towards-grain  
  M4 H' U/ }6 b+ ?9 X  set heading 0
# F4 A/ k' l2 {" `. m; A- t  let best-direction 05 L1 J# _8 E" m5 v+ ?# N* f% ]8 a
  let best-amount grain-ahead
! G1 ~9 w7 \- W: Q/ B  set heading 90
& p+ h1 W% q+ b  if (grain-ahead > best-amount)' p! d# {) y2 w0 `; d" j
    [ set best-direction 90
6 Y: W* W1 `) j) a# U8 w+ p6 ~      set best-amount grain-ahead ]9 T) @9 l$ b/ G/ G1 p& _
  set heading 180
* ~5 I( p8 O4 _  if (grain-ahead > best-amount). G3 J% D. B' b/ ?0 g8 @
    [ set best-direction 180
8 ]/ q4 V. @- m0 `. f      set best-amount grain-ahead ]
0 h2 U: ~- X. x; |& K4 M6 v' [$ F  set heading 270
8 H% _, o2 c. X9 ~  if (grain-ahead > best-amount)
6 g2 l. f3 T% c; b+ v    [ set best-direction 2704 e. Z, X1 ^) d: Y( p1 ^0 t/ I
      set best-amount grain-ahead ]
2 y9 Z1 [( T8 h: a# x  set heading best-direction
  l- ^1 v1 s* i# D3 L" B" i+ d5 Rend* q' X% _! t2 H$ U- G% }) w

. K# g# I; S! _+ e
8 |6 @2 r; t" q7 q( ^  Oto-report grain-ahead  
4 [* ~% F- P0 ^) T  let total 0+ n7 d1 Y6 G7 O9 s+ y- a5 {; R/ O
  let how-far 16 W4 m1 V5 r3 ?6 Y5 K3 A+ q1 u
  repeat vision
" v* t) p' _' j" G; H    [ set total total + [grain-here] of patch-ahead how-far  \9 @) X) a, g  t
      set how-far how-far + 1 ]
  w3 w2 l+ z) a  report total" f& N/ D* |4 ?
end
& j* a7 Z6 ], a" S( R3 H1 @. |) E
) f2 U# B, |( _+ @7 _8 X/ R& u! f" Gto grow-grain & P# ]8 Y7 G0 k6 \- _+ I1 B
  if (grain-here < max-grain-here)6 S  x; u. {  c/ j0 {2 L
    [ set grain-here grain-here + num-grain-grown! K! ~4 M% P2 q+ i3 m+ l
      if (grain-here > max-grain-here)
4 N7 W5 L" P0 ^' Q        [ set grain-here max-grain-here ]. K4 `. {& f% ~8 v; c# |
      recolor-patch ]# }. z! ^$ O" C' S1 Z! n
end
- f2 d: D* u. w' D, j& y8 ~: \0 V5 o. Lto harvest
& @7 C, P3 u" ]" y. K3 f  ask turtles, c' v% E5 f6 m" N
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
% J; e* v( B4 k7 R4 y  ask turtles: H0 N  P& E9 U4 P5 `  n( I! W
    [ set grain-here 0; k. k) e8 y" v
      recolor-patch ]4 g- M- q$ h7 W( R. M
  4 m( G0 L% }" x0 G. g
end
) M- Y* k% p$ U. ^5 D. W. U3 A: A3 f% f4 Z% ~0 U3 X$ W9 T0 r( K% R
to move-eat-age-die  % j: g# ]- z, z! U! f
  fd 1
4 M* j# s( g& @4 Q1 [! l$ D  set wealth (wealth - metabolism)% ~: d& u2 H: k
    set age (age + 1): k4 K$ ]5 k# j9 d
  if (age >= life-expectancy)
7 j2 f. d, h0 {: t    [ set-initial-turtle-vars-age ]
0 Z- m6 Z! Z: i  b$ q) G  if (wealth < 0)
6 U  P4 b$ i) N* R- n    [ set-initial-turtle-vars-wealth ]
7 ]! ?! l/ W8 B6 }( g1 Z   
2 K" S! t! L$ P/ @/ }1 z/ h, Uend
. M1 y9 l  c$ {# R7 b2 j$ U! @. S* M0 F
4 U$ w6 L: K8 f- Q! D
to setup-plots
' v; H9 E6 @- E2 Y' Q3 }  z4 L  set-current-plot "Class Plot"
' |  i+ N5 N. J: Q# h1 @, Y  set-plot-y-range 0 num-people3 q5 ]  D7 c: F' p
  set-current-plot "Class Histogram"
3 x1 u- N8 `4 }+ Z% v6 J/ I9 _/ B- ^  set-plot-y-range 0 num-people
6 [) S3 L0 G6 p  S* _end) E' B4 ]2 c* ~1 ^7 ^" F
% J- I8 ?: C1 ]" D# S
to update-plots) g& j+ s* |+ z7 i3 x4 S( c
  update-class-plot
  E5 U: f; K8 m# }. F0 M7 N/ K" l  update-class-histogram
- \5 b9 u0 j  h  update-lorenz-and-gini-plots$ I/ z1 F* a6 [: Y
end$ W5 h/ x- b, S' u6 |5 n

: F) a5 g* f1 g% h. F  cto update-class-plot; H+ r6 j' O& G- m* T8 f5 k
  set-current-plot "Class Plot"
" \# x, A4 _& |) L% ^. _  set-current-plot-pen "low"# B6 o0 h9 ^; u
  plot count turtles with [color = red]
* T$ ~2 y2 i# q" I6 B' l) ?- H, V  set-current-plot-pen "mid"
# R' Q) P/ n: k! s' Y5 r  plot count turtles with [color = yellow]
$ ]1 q4 u+ v4 `) h  set-current-plot-pen "up". g, j. g3 l- ~) J4 H) i* ^
  plot count turtles with [color = green]
7 \* \6 D6 p5 _0 Tend$ U3 U: M. g% ?) x: l
8 C9 K" b) x' V, Z6 G( S: z5 u! d0 p# C
to update-class-histogram: K& V$ Z2 }' x6 l2 U  ?" @* H) s
  set-current-plot "Class Histogram"
' ]6 Y9 {9 P1 k9 C3 a3 x  plot-pen-reset" Q6 @5 [/ T4 s4 j. O+ J
  set-plot-pen-color red/ T. h; q' V2 l0 R0 _
  plot count turtles with [color = red]
2 P  d1 ~5 d- q% x1 m/ M. }  set-plot-pen-color yellow
+ I& X# C! O) w+ `# C* S  plot count turtles with [color = yellow]$ O6 ?: ^. J9 P' Z/ w
  set-plot-pen-color green
4 H0 T; R( \5 F/ Z/ X1 W  plot count turtles with [color = green]' T+ G  o  W* V( a7 V
end6 X5 n! J! W! {, [5 ~3 i# ]
to update-lorenz-and-gini-plots, j% S9 P3 i3 M" Z5 q( X
  set-current-plot "Lorenz Curve"
" `5 h2 E* G# c( ?& ~+ Q# u4 v  clear-plot5 u/ H4 H+ {: t9 n1 N( H
5 v7 P+ F* r; \) C+ ]( c& N
  set-current-plot-pen "equal"- [" }& [4 }8 X" [  n% X
  plot 0
$ w- t# R1 Q. _( h, M% u7 |7 n& i. i  plot 100- ]2 m) {7 E' B4 y! a7 K4 N% P

/ D: G* N7 c/ u( I& ~  set-current-plot-pen "lorenz"
9 _/ ^* h' K( g; R- `  set-plot-pen-interval 100 / num-people. v( e& K2 ]. J: w2 r$ Z
  plot 0
' V9 I) S) O; B0 d
# P* ?! a+ Z$ d3 s8 x& y  let sorted-wealths sort [wealth] of turtles
. ~* G6 w- q( _( d& g9 [  let total-wealth sum sorted-wealths
  S* _% H6 G: \  I9 N: [1 _& m; C  let wealth-sum-so-far 0
5 N" f& U* M0 U/ s  let index 05 U7 ^  `$ Y# V
  let gini-index-reserve 0
* l# X0 B7 q8 W
$ {( q) k8 j$ o6 f  y9 N4 ]  repeat num-people [4 P: L+ [4 V8 Z# a4 x
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)8 T0 ^  _& [4 G, k
    plot (wealth-sum-so-far / total-wealth) * 100
/ w: Z' _# H3 ^( E    set index (index + 1)
! m8 R8 V0 _6 z) j" {& X    set gini-index-reserve; m! |) t9 f7 F; Z$ c2 k- b
      gini-index-reserve +
! B- o1 D- b6 H2 I      (index / num-people) -- a6 Y# G8 ]/ r7 `7 M3 k& A7 N- N
      (wealth-sum-so-far / total-wealth)8 d+ V: r; @* y5 u, J0 }  A
  ]
9 s; t3 _9 w) E1 C- b1 `, W; M% j! V: R, Y4 u8 e- r$ m
  set-current-plot "Gini-Index v. Time"
1 \% R$ }6 E/ l. `; L  plot (gini-index-reserve / num-people) / area-of-equality-triangle# ~. u1 y7 d- e9 M$ B/ C8 q
end
/ D% I) j# c" @7 Z6 G! b% Q. O( Mto-report area-of-equality-triangle
5 B* ^; T& n! {. n. p$ d  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)4 Z; i% U# c0 W0 R4 Q( u; g
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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