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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: v1 V7 v) W. H; f/ \
globals! r8 j: j3 p6 p9 F# f0 k
[  m; ?2 r0 M4 j  x( w0 G4 b3 @# Z
  max-grain    7 z3 C. G, m  s: b5 z0 F

7 p" F( r7 P& ~& g]/ c/ e( l& y2 }& r$ L4 {

3 Z6 v6 z' \2 |6 v8 G" F. opatches-own8 K% \  a0 M* l! I$ Y+ I
[: [( o  u! l, J! t. s! s
  grain-here      
, x% _5 f" p8 j  max-grain-here  ! U/ N8 R# p8 `5 u6 q( n) t4 {4 l. o% ^
], G: }6 |+ l6 c* R: |/ Z' \4 m) j
5 l; i2 C' I6 l+ g1 b
turtles-own
% Q' ~! K: R. o[
& Q, r0 E) p% I7 h$ S4 v  age              
' e# s* t. f$ N' I4 m2 Q2 v2 @  wealth         
% d( }0 w9 p. P" l( m9 e/ X! b+ ]; p  life-expectancy  
" b* ]6 |# q# F1 `  metabolism      
# C. n+ B9 u8 T; z  vision
7 A. F6 a3 N* c+ k  V: Z1 j  inherited         
: ]3 o# _  I: S5 k; A]
% d+ B# r# F5 E/ A
- R& E" v8 j1 Y$ i
6 c- l  B: \+ z/ x: z2 O! Dto setup0 A4 W4 a/ K  `5 L  s% s* m. m! S
  ca3 Z6 \. Q7 }* l1 e4 ?
  set max-grain 50& W" q* ]1 e2 l' J* _0 n
  setup-patches
4 M) B0 R5 a+ U1 U$ D  setup-turtles
: P+ M' z! g+ b3 |$ {, M  setup-plots( X3 u' W* n0 L! B) e$ Z
  update-plots' {& A+ Z1 g4 F# c; n& A
end
3 ]5 ~: L/ T2 {; ^; N9 Zto setup-patches' S+ |* f9 X( W6 [& f4 h( s5 o
  ask patches
7 D6 h) O& I9 J    [ set max-grain-here 0
* V  Y9 J, Y7 s      if (random-float 100.0) <= percent-best-land0 P. V6 j# q) h1 s
        [ set max-grain-here max-grain
7 N: P. v% A( Q          set grain-here max-grain-here ] ], t( @+ o  k/ x4 n0 G2 E! l
  repeat 5
: _1 v  \! x9 y* L( s4 F# H9 h    [ ask patches with [max-grain-here != 0]
$ w8 {1 M" J# U( i        [ set grain-here max-grain-here ]4 Z- {& B+ B# D. E- u
      diffuse grain-here 0.5 ]4 X/ n6 C8 ~5 U
  repeat 10. E  q2 h) M2 J1 Z3 E- L. h
    [ diffuse grain-here 0.5]         
3 t- O% E* E) z- y( l  ask patches
4 M+ [; S& N) W    [ set grain-here floor grain-here    4 f3 j4 T" F1 s: N6 i
      set max-grain-here grain-here      
1 j" f; m: C; Z3 s& p      recolor-patch ]! b; {! I+ f& `* O3 p, B
end; z* _' O3 c8 [& A4 _' E7 I& t
to recolor-patch  / v6 ?$ U- z! ^. R4 H4 r# u. I8 m
  set pcolor scale-color sky grain-here 0 max-grain
) {5 N. V0 d+ w; a# O  `end5 h- j7 M2 @& I7 Z$ F1 Y; i0 L" H
to setup-turtles
7 j5 Q! n$ d* C1 Y. D; W) y4 L  set-default-shape turtles "person"
" c$ P9 V  |! f  crt num-people8 Z3 q- l- s  a5 E  l+ ^
    [ move-to one-of patches  
2 e* |. _% R4 M" h; O      set size 1.5  
8 ~. s7 f+ C3 d( I; P      set-initial-turtle-vars-age: V6 M0 W9 k: @8 Z, o' l
      set-initial-turtle-vars-wealth
, q4 y6 @$ I# S; @- V      set age random life-expectancy ]2 ?8 T, {9 m0 H
  recolor-turtles
$ ^9 ~8 Y" S/ ]; j: rend& x  C! U  A. C+ `
0 m' F% _/ P. v; u9 S, k
to set-initial-turtle-vars-age
7 {( p+ I0 b( H0 ~, F* O let max-wealth max [wealth] of turtles
0 J2 Q( L& X5 T6 E0 ~- ?- Q; T0 {    $ [- _7 ^7 W, X, X) Y5 ?8 g
     ifelse (wealth <= max-wealth / 3)
& Z) z! w1 z& a& ^$ t% m8 @        [ set color red * i% Q+ h& }( G! g/ o' ?  M
          set age 0. `7 U% M  _% ~, R
          face one-of neighbors4 % C' {( |5 e) j0 d$ v6 F
          set life-expectancy life-expectancy-min +
5 R' ]) {. O; \                        random life-expectancy-max ' A) r# d' O' @7 v3 J; E
          set metabolism random 1 + metabolism-low
) N6 C$ q% l/ c5 X$ y: l          set wealth metabolism + random 30) W/ K: R) ~- ]" i$ b5 f2 z1 f
          set vision 1 + random max-vision
5 i: s0 ]! N6 B6 D& C             set wealth  wealth +  Wealth-inherited-low ]
7 b$ f# d+ u$ d! a        [ ifelse (wealth <= (max-wealth * 2 / 3))
+ W/ A" d) _% [, ^) f6 y5 b. b% s            [ set color yellow
" [5 v# i  }- y# S              set age 0
' X( ?3 B  |! R( v+ }7 ~              face one-of neighbors4 ) O4 i$ v  _! a  O+ o% s( A
              set life-expectancy life-expectancy-min +
# x: v5 h2 s5 Z# k. `6 h+ h                        random life-expectancy-max + 1+ {! \3 E% T% m8 p2 \
              set metabolism  1 + random metabolism-mid+ y3 J+ R6 }+ U! G! ~' A, C! x
              set wealth metabolism + random 30
! v: y4 C; h8 v7 W              set vision 3 + random max-vision
+ P: `) Z1 f2 f% E                set wealth  wealth + Wealth-inherited-mid]( B) f8 w, I$ ~1 h
            [ set color green
% t$ s! v# y1 I9 {              set age 0. q0 D; O1 L  p- {9 d
              face one-of neighbors4
- @! D) h" u& x* f- l              set life-expectancy life-expectancy-min +
# Z1 Z, O& _& L                        random life-expectancy-max  + 2
4 R: k0 x: V* P& ^              set metabolism 2 + random metabolism-up
: P1 m& t5 X6 Q% R' q              set wealth metabolism + random 30( l8 j; O8 ]" P( B" V# M7 c2 ~
              set vision 3 + random max-vision9 H( C5 q  f, C: A
              set wealth  wealth + Wealth-inherited-up ] ]
9 g$ M( g9 e2 u5 U  S' N+ x 3 Q: K" K3 Y" C* D8 N( t' k
end
4 L% P( o  G& p1 a7 ]% {to set-initial-turtle-vars-wealth$ V8 A  E. r/ Q5 Z
let max-wealth max [wealth] of turtles
* \- B7 R& c" l: \# H          set age 0
% M. r- u: s: E$ Y: ?2 E# s& \' y! u          face one-of neighbors4 $ ~/ n: {, P: _/ D. n& R7 f# B& z
          set life-expectancy life-expectancy-min +
  T  }/ \5 F& f7 A3 L0 s* ~                        random life-expectancy-max
! l) m  {% n' x          set metabolism 1 + random metabolism-up$ J; e& g4 }. C/ k
          set wealth metabolism + random 30, ]: O& s' q! v3 E
          set vision 1 + random max-vision
6 k+ x9 e% A! `$ X# Cend, n: Q4 Y' g, R5 @" B  n+ w+ U1 y0 C. Q/ Z
to redistribution
( Z! d1 L; X/ S$ b( g$ L: olet max-wealth max [wealth] of turtles; |. X3 V7 g: l8 X- u' f- H
let min-wealth min [wealth] of turtles4 h* j1 s3 \' x- }" J6 n7 O
if (wealth <= max-wealth / 3)
. A$ U" D4 A, Y  t; ? [set wealth  wealth + Low-income-protection ]' {% m  q( L/ U6 r
end. M' U2 }% C2 _& Z
          . |8 {6 f. N6 D! T$ F/ H/ X
to recolor-turtles0 Z# j- k$ Z. {0 d& m& n- m9 E$ J
  let max-wealth max [wealth] of turtles
7 }  c/ h$ A  k4 h) l  ask turtles
8 ~% |( B# j6 R) \, w   [ ifelse (wealth <= max-wealth / 3)
0 R' K# @5 A. D: {$ N        [ set color red ]
1 i6 D( M6 b  V" {2 X' z' y" \        [ ifelse (wealth <= (max-wealth * 2 / 3))
  _' S% t1 \( t            [ set color yellow ]8 U6 x( W! W4 y1 N9 ~: H
            [ set color green ] ] ]$ }* I2 Z* Z: m8 o* ~! v
ask turtles [ifelse show-wealth?5 g& W) r4 W2 ~0 P$ k9 ^7 j! g" K+ X
    [ set label wealth ]
# |7 v' ~' Y# C9 S) ?% L    [ set label "" ]]
( \; E- E! X, }9 T, Iend: c! E! m' e8 Q7 |
5 E+ }1 Z3 P# C4 z. A
to go
; i, h( k# D8 c  ask turtles
$ G6 B# z/ w/ H% K    [ turn-towards-grain ]  # k3 G+ b  l% b- r
  harvest
, v. c/ E- m+ q* P. A' Y* ]/ b  ask turtles
& e! G6 G0 l& W% B1 J    [ move-eat-age-die ]" T+ t5 D1 F" g( B* s
  recolor-turtles
. m+ t9 b& C3 S$ O  if ticks mod grain-growth-interval = 0% x9 ?, V" U. X2 r
    [ ask patches [ grow-grain ] ]+ u, U. U3 X" G5 i+ x# \5 {
   5 u6 J* P3 t7 D* y" a
  if ticks mod 11 = 0
5 T; \- |1 s! \0 O/ a) m  [ask turtles( k6 \2 D$ V3 W
  [ redistribution ]]
0 r$ O* j$ U# z5 |! D6 ~  a  if ticks mod 5 = 0
4 V) M/ E; Y& E5 |" |   [ask turtles
0 D) Y8 i0 h2 e. {  K  [ visions ]]* @% ?. a1 W. p5 q
  tick
$ C0 J1 A" Q9 ]6 w4 t3 y& T  update-plots' c. D% a* S+ u5 {9 Q: y& C& L
end
) J3 S  G+ ^0 e- r0 W! |to visions
( n* w) U' C4 F8 e7 e+ p set vision vision + 1
3 L: O; h) A- c0 K  Bend
5 [2 ^3 [3 m2 y. z, d+ Y% V; X# z8 m% J  \. G- F& t
7 G4 h# a& G6 e  Q
1 X  @, ^1 N! r8 U
to turn-towards-grain  
( i; }5 g) D9 E' c  set heading 0: B/ p5 ~( f4 O" o0 Q* x( w9 ~$ e
  let best-direction 0
( a0 p1 K5 ~# `1 K. `  let best-amount grain-ahead& P9 C- ^% F/ j- F) B
  set heading 90; D* H2 l" r% r: g
  if (grain-ahead > best-amount)4 P  X% j& h& j3 B
    [ set best-direction 90
8 e: q- Q! o! g+ r1 m      set best-amount grain-ahead ]) i$ {  y: W( z
  set heading 1801 J% i* n, J9 J' S: g
  if (grain-ahead > best-amount)
. j& l4 }. q4 R    [ set best-direction 180- G8 a, w& Z# A1 ~( T9 T
      set best-amount grain-ahead ]( n  D! v" ]/ W
  set heading 270- }, H) d4 n3 o, {& {2 {. i
  if (grain-ahead > best-amount)
9 Q3 _" O6 f- O: t    [ set best-direction 270
+ T6 `0 r, t; N8 S      set best-amount grain-ahead ]7 r5 K3 r3 ~* f5 p. d
  set heading best-direction0 u6 m3 y! u# D% R- R9 z! V1 O
end: f. P* h$ c- n5 z
0 R& B( E9 u2 V$ M8 M

) {# @6 {. E2 o$ sto-report grain-ahead  6 A9 b2 D4 _) M$ B# n4 V% y
  let total 0
& u+ i, S0 l& `+ i8 i8 v$ N  let how-far 1& a* D3 U1 Y# k5 d& u
  repeat vision9 j  f/ k' m2 E1 T0 t3 s
    [ set total total + [grain-here] of patch-ahead how-far
* C9 _3 R8 x2 f7 o      set how-far how-far + 1 ]) k$ e; E1 |, p2 R' ?$ n
  report total
' ~* q" _( T  n( I+ l5 Xend0 i0 X5 R$ L# I2 a
$ k) j8 G9 a, w! t+ a; ?3 h( Q
to grow-grain
! b4 P- n3 l$ S# ?  if (grain-here < max-grain-here)4 V0 f! N% ?- [0 [5 c% @8 T2 C5 O
    [ set grain-here grain-here + num-grain-grown
9 i  R) d# }: I      if (grain-here > max-grain-here) * [6 `! f& ?7 |8 m' L% r
        [ set grain-here max-grain-here ]/ g* Z2 V* S4 ^! N, T& T6 M
      recolor-patch ]3 U0 D* M! ]! s7 e4 D
end
0 a5 [# @5 c- G+ Tto harvest+ R1 q- ^6 _; ?2 H. h
  ask turtles
2 W# K" V5 f  C7 W) H. p* h4 t    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]1 P: b* R" ^3 I, _
  ask turtles
& Q! ^: t2 j. q, {' H0 C. \    [ set grain-here 0
1 y. ?; g" L6 o      recolor-patch ]
  r, S8 {1 t/ ]" P$ q  ' g' C0 K4 c, Y3 j& n
end
5 X0 ]  |$ ]/ C$ D, s0 E/ F/ O3 o" p: o6 {- x  R1 V! c
to move-eat-age-die  
2 N" c+ G* ^4 t- k1 E/ O5 o- x  fd 1
9 G7 x8 o# s% T  set wealth (wealth - metabolism)
$ P; S3 P+ ^2 ]    set age (age + 1)
" M8 m  L5 t( e2 s) ?7 S  if (age >= life-expectancy)! C& y, m- s0 e5 x
    [ set-initial-turtle-vars-age ]! j! K; f0 b  ?6 b1 D& N) x
  if (wealth < 0)
. J* K, L, A5 j2 f* ^    [ set-initial-turtle-vars-wealth ]) H3 U! c4 Z2 B
    9 W( D, S8 f# `4 ^! j) p5 @4 @
end
$ K6 Z/ W1 N1 h4 n
5 a' Y& V' o" F4 g) s5 O6 ^" J
) K1 U6 A+ ]5 @3 w2 U" x+ q7 nto setup-plots. v5 q; Q( y8 m- M! ^
  set-current-plot "Class Plot"
8 }5 @1 E5 Z) R# u  set-plot-y-range 0 num-people
# ~0 T1 p  y2 M  set-current-plot "Class Histogram"
; P; u+ i1 Q4 B4 W3 D  set-plot-y-range 0 num-people5 Y) N8 a( m5 ?3 Q
end
) @+ ?7 ~. N6 Q8 u
6 ], N: [* t1 S6 P% H+ Uto update-plots
& X+ ?% t' x' r# C) A$ U& l' C  update-class-plot" c1 r: A7 X9 O
  update-class-histogram8 s; r: \) U& O- j- D
  update-lorenz-and-gini-plots
$ B; A$ E( u5 H% k7 o8 X, U2 n  Wend
8 Y% `. z( T: u' F8 x5 F" \+ c8 R' G% c0 ]
to update-class-plot
3 m" j) r# h. H3 Z8 u& k  set-current-plot "Class Plot"  t) a8 }- B6 I$ P
  set-current-plot-pen "low"
  S& W$ x9 |5 K3 H  plot count turtles with [color = red]* p' W4 ^) Y! H  p: {
  set-current-plot-pen "mid"& u- P% t7 m# o# M- c
  plot count turtles with [color = yellow]  g. F  Q" ?+ t  ^
  set-current-plot-pen "up"
: V* x" P9 B0 Y& V8 a  plot count turtles with [color = green]
& Q& f7 \9 d+ f9 G' `8 Aend1 _6 d1 {/ N6 k; l1 `( _, N! ]: Z
9 z( \0 t* C5 f/ J8 B  e8 Z
to update-class-histogram: J( ?" J6 ~. x! X+ Q6 V6 s
  set-current-plot "Class Histogram"
! M. Z) ?5 Y8 L( A6 }9 h  plot-pen-reset
6 |, H$ N3 w% i: C- n( V' ~  set-plot-pen-color red
* Y: X6 A5 _# s* }  plot count turtles with [color = red]
, X3 }- W) [* u# q7 s  set-plot-pen-color yellow  ?  w6 o2 N- D
  plot count turtles with [color = yellow]5 [  [! J, L7 s' r* w
  set-plot-pen-color green
8 M6 A- Y" J3 v- \" s& i. j  plot count turtles with [color = green]
5 E5 v9 Q( F4 c. U( F5 ?# I( u. @% }end( I9 @! j6 X: @9 X* _
to update-lorenz-and-gini-plots
- d8 A1 W: l- [# r  set-current-plot "Lorenz Curve"
9 }) C. ~% S  E0 k  clear-plot9 {" y0 J1 a9 W
# V6 D& M) X, r5 E) x+ y/ n9 q
  set-current-plot-pen "equal"
  R8 n; M% g6 h' b# ^  plot 0$ [6 y; z& ?  \1 r* N+ I" v
  plot 100) h: F9 U$ Q2 E! c$ m7 c) d
/ d2 ~% |# `) T/ M. V
  set-current-plot-pen "lorenz"1 J( X5 F$ T3 @6 r4 V
  set-plot-pen-interval 100 / num-people
! e4 d% ^* ^, A  plot 09 E( B1 t% f1 G) u+ e7 j

+ D/ D7 o* d, }: w  let sorted-wealths sort [wealth] of turtles
9 N* h% s4 u, q, Q$ |' ^  let total-wealth sum sorted-wealths
+ i8 j& S3 x1 c4 k  let wealth-sum-so-far 0  a- i  @& E- d. O" F2 d
  let index 0
0 u8 {% ~- D( b% C  let gini-index-reserve 05 I+ G2 A, }: v. m) q7 K

5 w8 {* f0 W, f# v% j9 C! U" [, w+ M$ @$ w  repeat num-people [
" y1 P! J7 t  I" j; b; W    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths); l. q. {2 |! y
    plot (wealth-sum-so-far / total-wealth) * 100( y6 x1 t' W, R  a5 c, h; X
    set index (index + 1)
* C6 o7 j# H/ Q; E    set gini-index-reserve
* `) {( U  ?' J& H3 U" d      gini-index-reserve +
0 t( @& s. t+ w5 }      (index / num-people) -% s& p2 r! y5 ^9 {) u; S
      (wealth-sum-so-far / total-wealth)
+ t" T6 |7 K: _9 T  ]% Q1 W2 v- k+ g$ t, t2 ^. c
; |7 e1 T1 g8 c! t+ G2 W
  set-current-plot "Gini-Index v. Time"& A7 p  C, b, j# A6 i7 B5 M
  plot (gini-index-reserve / num-people) / area-of-equality-triangle# e, h/ F4 h8 b8 j$ n: u: n  l
end
# z5 b/ s# O& d# l6 m- Tto-report area-of-equality-triangle
( \  n3 y- I9 i$ E7 C3 V  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)+ P+ }1 V" G5 N0 J% f# S. e2 x' p
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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