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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' U" h' G  O1 c2 e* }& [, w
globals% E# u! W# d& a& @3 d+ L( m$ |
[" C6 B4 B) L& l1 \$ _8 Q
  max-grain    , K$ _" ]* \5 I* l7 `

7 O; Z8 ]% H( ]% `' ^$ L3 |], w0 z1 ~4 b5 K5 Q" l

. y9 Y# z* s! xpatches-own
1 F" D( f; S% ?# \8 a[6 F3 B. S9 R) D, b3 i
  grain-here      5 K/ j" J. m# D+ W9 r
  max-grain-here  ' F  [" e- K; ~/ A& V! G4 n7 i6 T1 @
]6 l. v! V- R! i/ i  U% t2 X* o
0 f$ M2 X" J. n, e* ?- x7 m! z8 m
turtles-own
4 Y* ^0 Z+ H9 {2 F$ ?4 j, d[
" Q0 H5 J2 T3 Q* [. n# G  age              
- c2 T/ ~. V6 A( Q6 z  wealth         
. K5 x: o: c1 o5 d  life-expectancy  % @7 {, M  N1 R1 O
  metabolism      
, |! _1 A( ]" g1 j& {5 T  vision2 x: D1 a* B; i$ c3 d/ r, R
  inherited         $ k3 s0 Y# `$ Q* O. L
]
; N# U0 V6 C5 \% i% f) k/ P! d
* P5 S: J+ c# n' p/ s0 j8 c* E' @" n6 o+ ?! H/ F' K7 z. @
to setup0 p4 Z6 ?: W0 Y% e% N1 A' ^) l6 K
  ca0 E2 X3 V( p/ @& {+ ?. g/ F( ]8 V/ U, ~
  set max-grain 50
3 S5 k: M( j# `% J- _8 G  setup-patches; f4 D# c# e% C! W
  setup-turtles1 `. c1 U, X* _% |
  setup-plots. B8 w; ?5 Q% K& Q3 S6 r8 y
  update-plots
0 {+ N% o# `2 S5 x* gend% R  G: w6 |' G& A
to setup-patches+ H1 n) h/ a  }/ ~2 f1 m
  ask patches, S. O8 \4 }, c
    [ set max-grain-here 02 f9 Y% m4 r2 C
      if (random-float 100.0) <= percent-best-land# ~2 i0 M' p# t: w1 @2 p
        [ set max-grain-here max-grain
2 v, p7 r( I6 c/ y) v0 h          set grain-here max-grain-here ] ]# E, ?0 `. d+ C. W* h& f
  repeat 5$ X( i8 T( I$ d- @6 x
    [ ask patches with [max-grain-here != 0]
& H+ G  B) R4 N( ^; `2 y/ \& z2 J7 ^        [ set grain-here max-grain-here ]
' g) _( F- l8 D, |' @6 B2 U* F* B      diffuse grain-here 0.5 ]' n( u! D: R" Y, U1 j; O, }  G
  repeat 10
) m2 b% Y% f0 B: o: H" a    [ diffuse grain-here 0.5]         
6 D- A* ?) N' O' D# c' o  ask patches: [) s* _" o0 V3 G9 v' o3 N/ J
    [ set grain-here floor grain-here   
8 k8 l8 Y- m; e! \8 h      set max-grain-here grain-here      
+ N# U6 t) y/ z  k  c3 d7 {4 O      recolor-patch ]6 z( s! e. h/ b* w+ d. p4 P
end* z( U" r8 s2 Z7 g2 K" ]1 J2 L
to recolor-patch  
  s1 f, a) J8 _  m- f) z  set pcolor scale-color sky grain-here 0 max-grain
' X( {7 }+ w7 o( \3 `- i3 Q2 q% bend
  J+ {5 b! @4 E* T$ ]3 H$ g3 Xto setup-turtles
! [5 x4 A1 |3 E  set-default-shape turtles "person"
% ]4 g4 i( C3 U) U  g  crt num-people, {6 Q/ \& U* Q/ @: a
    [ move-to one-of patches  
) o: m& G3 N% G. G9 I1 S3 h% n      set size 1.5  . i0 d# w+ \) l' g
      set-initial-turtle-vars-age) ^4 W6 |. }+ ~; j
      set-initial-turtle-vars-wealth7 H: R3 D7 T6 |: L3 L
      set age random life-expectancy ]
2 E" F' p5 K+ g" s# J. l  recolor-turtles
7 I& q) j# B& Z+ s" E# hend
3 w& I0 m' X% [2 `) o$ J) V5 R5 A) R- x
to set-initial-turtle-vars-age0 v( P6 N  H+ g/ R7 C" V
let max-wealth max [wealth] of turtles1 {" g: ?+ Q7 N0 l# q3 S
    ) }7 m1 J8 J' G) e9 P5 [5 O
     ifelse (wealth <= max-wealth / 3)
& c& s, @* x- N* X/ e2 _        [ set color red
! I  c9 Q: ~; T* {/ w7 ?( o# p          set age 06 ~# g4 `; z' ?/ d6 N5 }5 N7 w
          face one-of neighbors4 " f* O2 @( ^, X6 a- r( T( ^' [
          set life-expectancy life-expectancy-min +
: X9 O. t0 [6 C' r                        random life-expectancy-max
& L* }4 [& s$ \& F1 O6 u          set metabolism random 1 + metabolism-low8 {5 O+ e$ s+ u' U2 i+ w
          set wealth metabolism + random 30
* A# ?% `/ C" e  r, D          set vision 1 + random max-vision: q' [! x/ h/ J4 c2 C
             set wealth  wealth +  Wealth-inherited-low ]
7 k0 D" x+ e* ]& y3 I0 i5 m        [ ifelse (wealth <= (max-wealth * 2 / 3))8 y% n" V' q9 h( u& p
            [ set color yellow 7 X4 F- \2 e8 D" ^
              set age 0
& _# W9 m) Z0 y              face one-of neighbors4
1 e8 b" A4 o7 y              set life-expectancy life-expectancy-min +
8 N0 Z6 {7 q; ^" {8 U: H: w: b, n                        random life-expectancy-max + 1. C. N- ^9 S. ~  Y) k& x3 }. }( o
              set metabolism  1 + random metabolism-mid
0 _6 E: w8 q1 l              set wealth metabolism + random 30* I+ T; T2 [* ]/ R1 u
              set vision 3 + random max-vision
# b( `/ W& o' S0 p1 q                set wealth  wealth + Wealth-inherited-mid]
* V2 w; J0 R( |1 p            [ set color green
% a" l, t7 p5 M              set age 0# @" i5 I0 M/ U& W- h
              face one-of neighbors4
3 C6 Q: X$ i' _) ?              set life-expectancy life-expectancy-min +" N' S# ~7 _' Q  o
                        random life-expectancy-max  + 2
# C1 x, U4 O7 c3 v+ \              set metabolism 2 + random metabolism-up
) X. [) T8 S$ U) V1 [- o$ x7 g              set wealth metabolism + random 306 ]/ ~) G! ?# Z5 @5 P5 K
              set vision 3 + random max-vision
* R* }2 H/ q6 }              set wealth  wealth + Wealth-inherited-up ] ]
2 R! m& N  Y! Z7 {4 c
0 n* i8 E8 ~2 F, B( p: w( Q; H. T# aend
3 |4 `7 {" ~$ F; Vto set-initial-turtle-vars-wealth1 D, k* l! X( ^* `
let max-wealth max [wealth] of turtles* ]- _& h% r  R  n8 n1 X1 H' Y% A, N
          set age 0# L7 H5 q+ L) y0 a- s  u, Q
          face one-of neighbors4 ) e: s) K  S/ Q3 G% U+ J
          set life-expectancy life-expectancy-min +
; t- L% D. _1 n. R+ a6 z# O0 q* t                        random life-expectancy-max + D8 `0 L6 T8 s) i3 k0 _1 v- N' y
          set metabolism 1 + random metabolism-up
3 o) ?/ M) a  ~. X          set wealth metabolism + random 30
7 ^7 G. f% ^+ ~9 n8 Q3 c. Y          set vision 1 + random max-vision 2 u- M( p( D3 z! j% L! t
end
7 B4 l) q6 e# k6 n! w2 E; ^8 Yto redistribution/ q7 i1 R! I. B4 w
let max-wealth max [wealth] of turtles0 |5 z% Z9 @( ]! y' S* x5 ?7 ]
let min-wealth min [wealth] of turtles4 @: e/ @* E) I
if (wealth <= max-wealth / 3)+ t* R7 ^. ]+ I2 \$ r" A
[set wealth  wealth + Low-income-protection ]
3 V8 y4 m6 H0 Q  f6 wend
2 E: U- {$ n# W1 z. `, U" ^          4 T2 J$ i4 a9 U# w0 w3 F
to recolor-turtles
5 l' N' {' C6 N" A6 A  let max-wealth max [wealth] of turtles
: C" x' p# l2 G* `- v  ask turtles: k# R! r$ O5 N& S, b: E
   [ ifelse (wealth <= max-wealth / 3)1 _) Y9 }7 W; Q- T$ u2 v5 A
        [ set color red ]
3 r3 |. ]' d: M6 g$ c1 O        [ ifelse (wealth <= (max-wealth * 2 / 3))
- F. P( P* h( p7 q  J! v4 F8 P            [ set color yellow ]$ h, ~- ]2 g& x. ^
            [ set color green ] ] ]3 E; o6 ~! K; F6 r* N* I2 @
ask turtles [ifelse show-wealth?
+ T) h7 x9 F1 \7 Z, M6 [( J+ P6 a    [ set label wealth ]$ O( O7 P* |6 c8 r
    [ set label "" ]]
8 [1 P% p% v2 Z: D+ W$ N# r+ Z  u8 Mend: m! O9 O7 P* r1 Z! ~2 ^: T( [9 @

, M" D5 }7 T/ R# Rto go- |1 a" ?% v9 r
  ask turtles
- R7 o! c1 Y9 y: s: {    [ turn-towards-grain ]  
- i- S$ X0 L$ z0 v8 T) ^  harvest
4 Q# E& r2 ]+ ?& C, _/ l  ask turtles
# z! j1 u% e3 H, U# q5 G4 h3 H; A    [ move-eat-age-die ]6 g8 P, _* }" t' u) V5 L' {, _7 f
  recolor-turtles0 w* l! c4 G) e4 d+ I  _3 ?
  if ticks mod grain-growth-interval = 0; q1 i# k% \& k! ~* G# E
    [ ask patches [ grow-grain ] ]$ H3 k* |# C, C  K; Q3 D$ P/ ^
   
& r2 F7 n3 X% H1 C& j  if ticks mod 11 = 0
& ]* I7 U, o" ?9 _4 C# L7 I* i0 d  [ask turtles7 Z4 e1 r) W9 C- l0 `
  [ redistribution ]]
5 Z. c; k" o, e( \/ \6 r# ?& _, g+ h  if ticks mod 5 = 04 S. {" l% ]( c5 o8 M
   [ask turtles6 ~/ f3 K8 l0 k2 P8 N2 m5 e/ N" y
  [ visions ]]
( q. |9 x' I7 N5 c% o& d$ Q# {  tick6 U6 L5 q) Y& u+ t
  update-plots
( ?. u7 c, T; Y- Q$ ~  Hend1 v; l5 x# U( d& ~1 J5 x$ w. U5 L5 E
to visions8 z+ o; I7 u( V8 ~/ y
set vision vision + 1
5 p6 i9 O- ]3 f  n: Vend
7 M& b- u7 Z/ I. o/ [! h
2 T# U$ Q5 a/ [3 B$ Q7 W3 v
* ^* g  K  S( ?- a" T
8 y# m9 ], n6 K6 w$ Xto turn-towards-grain  
4 H$ G  A6 c! o" z2 _  set heading 0
' m* b9 z( I, C- Q% H: a  let best-direction 0% y+ ^; _6 ]) M2 i' o9 R
  let best-amount grain-ahead: z  R7 n1 M0 {3 B- |" P+ n
  set heading 90. u" Y0 d9 I$ l# z
  if (grain-ahead > best-amount)' T' s) g7 u+ n
    [ set best-direction 908 i3 D$ p4 w+ l* ]5 F- y- r
      set best-amount grain-ahead ]9 w/ O" n5 w; O& Q9 g
  set heading 180
! c. D( s4 V% Q5 x  if (grain-ahead > best-amount): z# f- m/ y6 |& I$ i0 C8 b1 G
    [ set best-direction 180
: k  {' s/ ~" C- E: K      set best-amount grain-ahead ]
' n3 ?' M* o- C- B1 ~  set heading 270
* v1 }+ Y% M5 N9 O0 Y3 N  if (grain-ahead > best-amount)
+ f" B& u2 n8 d* q    [ set best-direction 270
9 w& Q2 g' D5 _" s( l      set best-amount grain-ahead ]- ]9 X3 T* _6 l6 f0 B0 Y- q' J  h. b3 o
  set heading best-direction; T1 {+ ?* m; q8 {  S! t
end
2 E! `: v- s/ \
3 e4 f' C! f9 l$ ]2 h& Z+ G6 d! o: x- W- ]# E
to-report grain-ahead  $ m( N' b* Z& H( C! e! `& E
  let total 0- j1 w  l. P  Y5 z. U; G" [, R& \
  let how-far 1
, J; N6 S' |: Z2 {2 O  repeat vision
$ l' p( S0 n# M4 S    [ set total total + [grain-here] of patch-ahead how-far
2 O. p& e' u3 E+ c( S, Y) r: B6 \, @      set how-far how-far + 1 ]* J/ G: P0 c) W" I4 G0 B* a
  report total
2 |5 u  \6 A" Z: T2 M8 Lend' d1 E$ }  a) }# R* I, L: W6 X+ Q: _
  v5 f" `0 {9 A# p& V  W
to grow-grain
8 P% T: }" I: w; O0 h1 Z  if (grain-here < max-grain-here)- U% E% }, {# u8 o1 Z. Q9 K, J
    [ set grain-here grain-here + num-grain-grown( `9 V0 Z7 w0 }& o5 k1 c( F% H
      if (grain-here > max-grain-here) ; B2 T$ y4 l2 a1 w+ w$ P1 x& e
        [ set grain-here max-grain-here ]
9 G' n' _" R& d# Y: P# C0 W6 _      recolor-patch ]! ]1 X1 I! e- P7 p" Q  Y, I$ }( B% t
end, l) y6 C- t8 y3 d5 Z4 O. L
to harvest+ u" W9 r9 H5 ]) ~9 H
  ask turtles
" a* S* M( t9 u  e9 |7 J+ }    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]: L# Z2 k/ F1 M. B+ M
  ask turtles
3 h  @+ S; ^5 p    [ set grain-here 0  s" K$ C4 i* D+ p+ Q, n
      recolor-patch ]( C0 G( ~( j" q7 V1 R
  
- ]9 b, T# E+ ?6 v( Kend. `/ C5 m$ W! @9 A1 `
7 C9 c3 M$ R3 H5 j! B& M* i1 {
to move-eat-age-die  
7 }' @; u( {$ g& w6 d  fd 1
, J# b9 w% y4 Z% Z  set wealth (wealth - metabolism)+ B: r% I( o* }2 a
    set age (age + 1)* @0 l3 G* C5 W; P6 ?2 A/ r
  if (age >= life-expectancy)& R2 e( R/ J" k" W, {5 c9 d0 I
    [ set-initial-turtle-vars-age ]/ U* _0 P1 C8 g; m" [$ K
  if (wealth < 0)
# ?$ W* O5 `3 J# ]    [ set-initial-turtle-vars-wealth ]
2 _/ B: k: i  s' @, _: u   
& }/ c# P7 K! i# h# j' j( ~end# m+ q$ w  f6 B( G! K! K) Y( s
: _; `$ v+ z: \2 z9 j2 ?

) ^/ C, ~: M3 [+ F2 A1 L- @to setup-plots$ m" m& u' b- n9 X. t
  set-current-plot "Class Plot"' c3 e* [" o; P& u1 s& W
  set-plot-y-range 0 num-people
* m( \; f$ w5 Q1 o) y% l  set-current-plot "Class Histogram"
) e' s, n/ M' L8 j' {$ P3 }( S  set-plot-y-range 0 num-people, }( K! W& z) h
end
! U! X! u( W4 p, G! A2 G3 v; }4 ~" E4 |1 a9 ~
to update-plots) @' n* N, {, K! w
  update-class-plot* {$ `# M4 C& g! O. \
  update-class-histogram9 K* f$ k7 `8 W) m5 K* M
  update-lorenz-and-gini-plots
7 {/ l: P2 |* g0 R9 fend  b/ T4 U) N! r* O% Q  \
9 W/ J! i" g1 N& D3 z
to update-class-plot1 a3 q- V  U% P) h2 V
  set-current-plot "Class Plot"/ N7 D+ ~. `% `# ~8 U
  set-current-plot-pen "low"8 f; ~# y! x  K+ r, T* A" i9 i
  plot count turtles with [color = red]3 F0 {$ b# F3 c6 c$ s
  set-current-plot-pen "mid"
! k8 v1 F8 _( k. l  F8 I- f  plot count turtles with [color = yellow]
& T) L- V; V' w5 U- M0 D5 ]$ {( i  set-current-plot-pen "up"  X/ F/ m" `: n+ ?9 ^1 }& D
  plot count turtles with [color = green]
: j  u# e3 I, Lend
0 }+ r  ]! n' a
8 c% _8 t0 Q* e! h3 f+ @' V( ~# }5 {+ I7 kto update-class-histogram
3 O( p$ ^4 k1 U/ A: ?. v) F  set-current-plot "Class Histogram"4 E4 B2 G) w+ ]5 B* i4 @; U
  plot-pen-reset6 `8 a; W) o, i8 d1 W& ^1 Z
  set-plot-pen-color red
* ^+ |7 h2 Z5 s0 e% d  plot count turtles with [color = red]
& d0 ?5 a/ w2 Z- f7 E* Q1 M  set-plot-pen-color yellow% v5 H! O' U' Q7 {: y
  plot count turtles with [color = yellow]
. e3 V" h+ r; X* k# l2 u  set-plot-pen-color green
) b$ X/ K# {# O$ D5 `6 z& K3 i4 Z  plot count turtles with [color = green]4 W# a9 I0 E( j! w& B7 t
end
: X+ d6 z3 v/ U, X7 F) _to update-lorenz-and-gini-plots
' x$ W. S* z. W& d6 _% _5 X  set-current-plot "Lorenz Curve"+ r* n" a% X; F7 D5 b  A
  clear-plot
* g# `" ~$ Q0 a) \. [+ k" s" t3 p2 J7 r; G' @+ ?. _! i2 U+ g
  set-current-plot-pen "equal"4 Z' U, p! Z: V2 U5 \2 q
  plot 0
$ v+ W& A* n9 I  plot 100/ \* h6 O  G1 y2 |  D# ?6 k2 ~: K6 D
7 K+ h+ X. m! a0 k6 V6 ]4 A5 Y
  set-current-plot-pen "lorenz"! @/ I3 A3 n! J
  set-plot-pen-interval 100 / num-people
+ F) h* a$ v6 W4 B  plot 00 l( B, u' D' `7 G
" X* o" l9 t6 ]
  let sorted-wealths sort [wealth] of turtles# `* B; q% M* Z3 R. _
  let total-wealth sum sorted-wealths
' E. m% h, e) Q0 a( ?2 i, F  let wealth-sum-so-far 09 e" c3 L3 U0 Q; B# m; ^
  let index 0
3 B  w5 c$ p! t) d7 M# n7 d  let gini-index-reserve 01 L+ ?4 O+ G1 d1 {8 n& Q( [( {3 Z+ i3 u

+ I- U, c$ R5 Q8 l  w" z  repeat num-people [
! `" D( ^( c' S0 P5 P    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
( _# o' |0 J. r& w+ s  G( B. v! s    plot (wealth-sum-so-far / total-wealth) * 100
6 j0 v; c; @3 m0 ?- w    set index (index + 1)
' z. _& C" x( H5 Y! Z7 `    set gini-index-reserve
; n  p5 x* I1 ?: C      gini-index-reserve +6 y1 s4 h' t( b6 L) P6 C
      (index / num-people) -
8 J5 _, H: Z: y, C      (wealth-sum-so-far / total-wealth)7 ?9 F& Y  H+ L8 T+ X5 }
  ]
# y( D( \/ n. x9 ?
9 X& z0 E/ m" Q) k: D) |  set-current-plot "Gini-Index v. Time"
$ a: c  z. n' x: {5 J6 f# P! |  plot (gini-index-reserve / num-people) / area-of-equality-triangle
3 b% x$ w7 H* fend
# F) J. g: G( Q2 m) u( vto-report area-of-equality-triangle3 x7 z! j3 S3 M1 n9 ~! v5 ~$ w, f
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)4 _1 G# `: i- ^6 F
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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