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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
& e5 f: h! w! F% f6 }2 v9 {& {globals* `9 H5 N) ^1 @/ y6 Y! ^
[3 M6 _& x  j1 e4 j4 D1 c
  max-grain   
: |: a* J9 O$ K/ ^1 T" g6 p
9 ~( u: {! |+ c7 c, T]' e2 p) a2 J; i8 W

0 q, y7 S  N& q7 L0 F+ ~patches-own4 \* L: A& u# c
[
5 ~' p3 r5 ^8 B' Y/ j2 g  grain-here      
6 x/ |) `, G( @; v' S" C  max-grain-here  
& u% ]' T' M4 L]
6 h% y( g/ R3 ~/ D! ~* \* e, a6 X5 y- q) [7 \3 Y
turtles-own
+ O0 S; o( I  c) s5 M2 o9 L[
) e, w) [# G% S. p  age              : ?! a2 F- p5 G% V
  wealth         
; R/ B9 \7 D3 Z  life-expectancy  
, @; u6 \* p; H6 y7 ]* t' ]  metabolism      
# z; R9 q4 Z+ }2 _7 a  vision/ ^9 r9 z4 _% O; a
  inherited         + i% N1 y$ E. `
]
) Z8 J+ ~; h+ B
+ S' k% i: D$ {( C8 h8 r  A5 l9 P7 C; J7 l9 d
to setup
8 M8 ]# }4 i+ w% C  ca
% i7 x! h/ P! I+ o, ^9 d- ]  set max-grain 50
! r5 B( @# i3 F6 s7 b* s7 K  setup-patches+ d% P. v1 Z$ _, l
  setup-turtles" K3 z6 }. V1 ^% ]- z- s
  setup-plots- a0 M5 d# y+ ?& i+ N9 M4 t
  update-plots
  n8 S1 A4 g; Eend$ K* i; t; g6 L4 e: z- `8 I) f  P
to setup-patches- S: `  d! d& m# @1 S
  ask patches5 i3 n+ ?; _. o2 N; D4 n5 V$ u
    [ set max-grain-here 0
0 X) ^2 S- a; z( z3 y, ^      if (random-float 100.0) <= percent-best-land
: B+ D' Q( q2 B" W& l1 {        [ set max-grain-here max-grain
" t  g4 D8 n% P! r- c2 J+ C3 e          set grain-here max-grain-here ] ]
& ~9 F# p9 T+ i3 J5 a' C  repeat 55 q* S9 V8 `& ~9 [2 a! ?
    [ ask patches with [max-grain-here != 0]
5 m% Y& X# y; T, B& v+ k; q        [ set grain-here max-grain-here ]
5 ~# E3 d, H! G      diffuse grain-here 0.5 ]; l" v" p- _$ x4 L5 J) \
  repeat 101 J/ C7 P, F+ P- T" c
    [ diffuse grain-here 0.5]          , j1 _1 V( F3 w. U- a) Q8 k
  ask patches' H, [' E8 D9 P8 j" I
    [ set grain-here floor grain-here    2 \) h. S. E4 Z# i( q# x5 h
      set max-grain-here grain-here      * g6 F7 e# c3 Q6 O0 q
      recolor-patch ]: K0 V1 q, B' }+ _% `
end. D* I7 R6 o0 n% ^; H+ N
to recolor-patch  
8 W5 H: @2 A8 K$ z/ W0 p* B/ C  set pcolor scale-color sky grain-here 0 max-grain
. X. ?# h6 J( ?; nend/ z5 `; m1 T) y4 J3 V
to setup-turtles- g0 T8 ?; ?3 t7 f
  set-default-shape turtles "person"
1 d2 A1 I) p' s+ g' @  crt num-people5 Y( i. K- Q, K( Z3 A
    [ move-to one-of patches  3 ^5 X9 u! k. O3 f# g" i
      set size 1.5  
6 C9 I  ~/ B3 h* E* I      set-initial-turtle-vars-age+ i& O' f5 W: g; _+ Z$ G1 G3 R0 w; e
      set-initial-turtle-vars-wealth. [, P' I) H4 f/ p" T
      set age random life-expectancy ]
0 _: a. R1 F. A6 F/ n  recolor-turtles
# B& i. K" ]3 G0 Z5 x6 Oend& j# R+ g6 A9 v; h6 q3 b- f
% x) v$ E6 k* f: W4 F, @7 _! g9 G
to set-initial-turtle-vars-age
9 i: z, Y' n" f& o, ^$ ?$ c let max-wealth max [wealth] of turtles1 o6 p% w; Y  ~! ]* q% G# u6 n
   
" F5 Z3 k1 \: _& |$ u     ifelse (wealth <= max-wealth / 3)/ e1 Z; Z6 h( A% Z
        [ set color red " v9 g. b( u: Y8 N8 u+ V& _1 n
          set age 0
5 o) }- Z  P0 m; U% P% ~. b# L: ^          face one-of neighbors4 9 [' s% P  `( g5 C2 y8 J9 {
          set life-expectancy life-expectancy-min +
8 z- o4 U7 x) V8 M                        random life-expectancy-max ) V: B2 ~3 \' ^8 g# \0 W2 p
          set metabolism random 1 + metabolism-low+ \2 r6 _7 y6 v& H) O: @0 c
          set wealth metabolism + random 30
  }" g$ r& P1 |1 _+ G' j          set vision 1 + random max-vision3 |6 C+ |% u* b6 a. T+ Q
             set wealth  wealth +  Wealth-inherited-low ]1 H8 }- n% f9 ~) s2 E; z: {
        [ ifelse (wealth <= (max-wealth * 2 / 3))$ w4 ]! w, {: b' p; l
            [ set color yellow : Q9 D/ C- s: |3 s1 }1 ~: ]4 @
              set age 0
: P( q1 @* ]; {              face one-of neighbors4
$ S& ~* q; M" e              set life-expectancy life-expectancy-min +
3 }# a' J* Z0 c% L                        random life-expectancy-max + 1% x4 n: r) G) u' z) d
              set metabolism  1 + random metabolism-mid
7 [' u; o3 W* b3 r9 R" {; P              set wealth metabolism + random 30
$ |* {' y3 ^: L              set vision 3 + random max-vision
7 B& s/ y1 U  G0 i6 j4 n                set wealth  wealth + Wealth-inherited-mid]* o) p: N% B' n
            [ set color green
1 Z  B4 `: {. J" F! n- b* Q- [              set age 0( f0 m, Z: L: `* Z3 v2 E& V
              face one-of neighbors4
* k2 e2 \! M3 s              set life-expectancy life-expectancy-min +, B$ M1 ^! U9 ]. c4 N
                        random life-expectancy-max  + 22 x2 N3 A8 E: v
              set metabolism 2 + random metabolism-up
; p0 D: V! }5 T2 O1 K9 @* n* A, R              set wealth metabolism + random 30. X% C3 b5 \: ], `7 M; F" g, }
              set vision 3 + random max-vision
/ I0 ]9 }. i2 Q) y. V) k              set wealth  wealth + Wealth-inherited-up ] ] . E; ~' B* R- P, I$ e8 `, I/ r  c2 I

2 a) C- L. \2 t* |end. C4 g% L) a. \( l. O& G
to set-initial-turtle-vars-wealth* d* [. ~- }0 H3 k" m1 \
let max-wealth max [wealth] of turtles) P, s3 M- `# ]8 [
          set age 07 `6 Q2 U+ L, k4 `* {* D: ]
          face one-of neighbors4 / o: x/ A1 W; `9 a
          set life-expectancy life-expectancy-min +! u0 ]: ~9 L% v" R3 N- e9 R
                        random life-expectancy-max
& I8 F" W6 W! I) W: ^& P9 J2 e2 d          set metabolism 1 + random metabolism-up
; ]/ l0 _( q) T          set wealth metabolism + random 30
2 r! v2 y* `  H3 ~# v7 W          set vision 1 + random max-vision 3 ~  f- T; r+ r: h! X1 W5 h
end5 ]5 E+ b1 f/ z  i! G# `/ m9 h
to redistribution
7 t8 A( V) c3 \# Qlet max-wealth max [wealth] of turtles
5 L$ p% R& r: k( j5 R( D/ {2 @let min-wealth min [wealth] of turtles. M& q2 f) s4 b$ I
if (wealth <= max-wealth / 3)- }- A5 u5 U7 f* s3 ?' T8 ~
[set wealth  wealth + Low-income-protection ]1 L$ J& s$ q! F# K! S. k' X
end2 Y/ }: ~% e% F$ P; |. m
          6 ]; m- _4 e2 Z- k9 ~
to recolor-turtles; A# [) E( A5 o4 @( m
  let max-wealth max [wealth] of turtles
/ t4 h/ e, f4 J/ ?6 p1 X& V  ask turtles
! i& N( I# U) p2 _8 o. `   [ ifelse (wealth <= max-wealth / 3)0 Z- r1 k- Q: l
        [ set color red ]
" Y7 p5 d8 p  X0 O- ]) v        [ ifelse (wealth <= (max-wealth * 2 / 3))* ^) L( o4 d6 K! R6 P
            [ set color yellow ]' [7 _, d5 n; j/ N" J% J
            [ set color green ] ] ]: {  D7 ]' P( o, ?$ P$ D
ask turtles [ifelse show-wealth?% V6 k  k! p% L" F5 v5 F$ d* k8 w
    [ set label wealth ], u& r% d5 e) S. c/ l
    [ set label "" ]]
2 m) T0 i( A: S8 {end
' K- e. o6 d5 ]$ L/ y) L
: R- A) K1 @+ N4 k3 Y( Zto go) A2 K7 t' i& {, z5 [6 [
  ask turtles; j8 l  U% G. E) A& Q; V
    [ turn-towards-grain ]  4 g0 U& ], E) x: e$ C* q2 `
  harvest
3 E- n" g9 n0 v+ t; n) O' _( j  ask turtles/ b2 X5 p# q: Q' E' K0 x- {5 F9 k
    [ move-eat-age-die ]
1 n8 }# z5 |6 P3 m  recolor-turtles. S/ {. v( n! I2 P: T% v% `5 b, h
  if ticks mod grain-growth-interval = 0
. [3 Q* X1 F! w, D9 V! ^! W4 U    [ ask patches [ grow-grain ] ]0 }! ~6 d2 M# w/ E# G* q
   5 k& U$ g" m& V/ [) k1 U
  if ticks mod 11 = 0
( m5 n9 w1 g8 I) d# F" }% i4 o  [ask turtles
; J- ?9 Y3 I* F! a. O' @8 s  [ redistribution ]]
/ o0 U) I1 G4 S( ^  if ticks mod 5 = 05 l  V" P0 u; q4 p+ X+ _) n+ g
   [ask turtles( B7 t; K. C2 J; S" @
  [ visions ]]5 h2 Z3 O# j8 R2 U4 J8 t' F
  tick
. H: i1 k8 O3 R  update-plots
: i' r0 _' ^" g0 D8 g6 M/ `end
' W9 Q! e! X+ V- X2 ^to visions
. U# l0 [& }) r6 _ set vision vision + 1 ! n$ E$ @5 m! w% ~$ ?7 f+ Z
end. [( a% s$ z" l& Q% C( |
1 u3 g4 t, r% z% y1 k1 W

, N, @4 z2 V5 y
1 z& Y& r- d4 K, lto turn-towards-grain  
0 F& p: T5 Q" v" J$ O5 t& U' @  set heading 0
& a1 _# N6 L! V  let best-direction 0
7 r+ p, p7 X$ `" P  let best-amount grain-ahead
  n4 G* u) \2 n0 {, p. W- q  set heading 90
  |3 y9 w  |5 n6 X. u  if (grain-ahead > best-amount)
: ]2 s# O. b8 y+ ^# ]1 C    [ set best-direction 90. L3 c0 O, c1 f
      set best-amount grain-ahead ]& u4 q& W3 c3 l
  set heading 180! |) q6 Y( V+ l
  if (grain-ahead > best-amount)$ K6 {/ _& z5 E% O2 H/ h
    [ set best-direction 180+ t6 ?4 f  \! J# l6 f
      set best-amount grain-ahead ]7 W5 i! b% B( u. v3 c
  set heading 270
& r5 V1 w+ _" N5 V! E4 x  if (grain-ahead > best-amount)
& Q4 _6 x& S3 L, c    [ set best-direction 270
2 w2 q- Q7 ]3 n* z      set best-amount grain-ahead ]
( |; C7 Y! ^2 ]* C" s  set heading best-direction
1 b/ M0 Z2 M8 G4 h5 H! q( Gend: k+ ]1 l5 c8 k3 P+ `- F8 o9 w1 e

2 |5 q+ _) t; h! m. C: |2 L2 N
2 T/ [+ q1 B# c- Y- H2 L: ]to-report grain-ahead  
2 T# j4 T% l* b' T  let total 05 v! {0 Z* h* }" Z
  let how-far 1; M' n/ `3 j3 G$ b% L
  repeat vision' ]2 X% I8 f7 G& M) l2 n
    [ set total total + [grain-here] of patch-ahead how-far
0 @$ e- c; b5 v$ f3 S2 {! f$ }      set how-far how-far + 1 ]6 L; X. X9 ?" k+ Y5 M$ N
  report total" q3 o( R* ^+ [# y2 G' I
end
0 ^3 A; A# t! Z; N, o6 V& i7 j' ?, z+ |/ {9 Z. y. z
to grow-grain
( m% x8 N# _3 w  if (grain-here < max-grain-here)
$ O+ ]0 G( h9 A& m. Q    [ set grain-here grain-here + num-grain-grown3 y6 J4 a4 g/ x' Z5 D) @
      if (grain-here > max-grain-here)
' ~8 [4 j, @, c* e; f        [ set grain-here max-grain-here ]# @' V5 a6 H' y" N
      recolor-patch ]
9 J# g% E$ L$ y$ I# L% j( Mend" @# O: h- ?6 s' ~
to harvest
# V& @$ P0 @. R4 ]# n6 s( o- w) ~  ask turtles- `, g+ W7 V5 D
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]( K4 l8 R7 y7 O1 q2 H/ z
  ask turtles
) l! J6 s, f. q9 U5 L    [ set grain-here 0
, P* w3 O+ F3 M* s      recolor-patch ]8 y1 v# C* o# ?& ~- P' J# I3 W
  2 e9 B( |) \6 U/ p
end
% k6 R+ f2 Q7 e8 d8 S) V
' {0 O0 ~+ ?4 X$ {to move-eat-age-die  ' j* |5 @" ^0 ^( y
  fd 1
6 P# p! [# x; h- M/ b  set wealth (wealth - metabolism): k+ `0 w+ u) S1 W8 }
    set age (age + 1); }3 u) O( k1 P
  if (age >= life-expectancy)4 t; t! Z8 V2 X9 y, ?
    [ set-initial-turtle-vars-age ]. M& z0 z2 o( a4 Q6 H$ S
  if (wealth < 0)7 X( I* h+ w9 m3 v
    [ set-initial-turtle-vars-wealth ]# D! A( h1 X/ N8 F
    2 f/ C" I7 W  d
end
4 T- ^( P) O! f" I7 e0 Y3 i4 o
7 R8 R) x' j$ o' @) Y" a- P( c, v& I9 `
to setup-plots+ N) l- l" N# C: E  }
  set-current-plot "Class Plot"
9 k( Z' Q; V! ^' N9 U; K' l  set-plot-y-range 0 num-people$ G9 i1 n9 @" V9 b) H
  set-current-plot "Class Histogram"* l4 b5 G7 [1 v. A& L
  set-plot-y-range 0 num-people
5 @* ~/ J+ K  K1 j% ]# W% tend# j: R5 }- W6 ]3 r6 e& j0 F: Y0 _" W6 f
$ o# t7 Y/ L- V1 u- p6 c3 u# q% w
to update-plots1 ~4 r0 V/ _' X% ?* ?3 w
  update-class-plot' K# F" g0 {/ N
  update-class-histogram
6 A/ A; F: \. Q/ |5 _, {* b$ n; U$ m  update-lorenz-and-gini-plots
' |# D- [4 [: L; {5 W6 i6 xend
, ^# ^" j4 I4 m% G: Z8 ^5 o: q* {$ a. c& O1 F7 ~
to update-class-plot2 V2 y6 P6 A3 v2 k: T+ C
  set-current-plot "Class Plot"
) `8 t5 O# l2 Z( h# _/ z! T  set-current-plot-pen "low"8 U3 Y- c8 m( E! a4 c2 ]
  plot count turtles with [color = red]
+ f  N3 I& D$ C# ?- `8 g# o! q3 p2 @  set-current-plot-pen "mid"# V# e9 l) V6 j- K
  plot count turtles with [color = yellow]' o# g; N" U% ^5 v# l6 t5 o
  set-current-plot-pen "up"
) [  i& ~6 _+ i7 G  plot count turtles with [color = green]
7 g# y9 |2 f! m" qend
: R! I9 d1 P+ @: L3 l. \% @
( z" f  F" j! [) G1 ~( Nto update-class-histogram
+ \9 j: {6 e3 ~8 F* U& l/ j# h" V& M0 v  set-current-plot "Class Histogram"
2 J: Q- H/ A4 K9 y- Y* ]. `5 C' Q  plot-pen-reset6 o5 }- q# G9 c- u+ l/ v: S' l
  set-plot-pen-color red
: n# ~! h1 p) l& Y  P8 K- d# T& d  plot count turtles with [color = red]
  u# ~( w3 i! u( w  set-plot-pen-color yellow
# v- X" V; h0 c0 J8 p! B: Q  plot count turtles with [color = yellow]- |0 ]; C" d. n# Z: X
  set-plot-pen-color green
9 o% c+ u6 ~: B6 S1 @4 N0 _! ^* q  plot count turtles with [color = green]
# `$ J: ~/ n4 Vend5 q- C) Z1 `. A! a2 _
to update-lorenz-and-gini-plots
/ z! D% |$ L! a4 _! l4 u" }& S  set-current-plot "Lorenz Curve"
# F+ y* g/ y- u9 H  clear-plot
" `$ ^* v  X2 B$ K7 ?
3 o; M- |' n! n4 h: U" R) t2 i  set-current-plot-pen "equal"
5 T/ }6 A  R; n+ h/ n  plot 0
& x  Z9 j6 ^: b1 P; H; W) l  plot 100
" l6 t6 f; R/ S; k* D7 Y+ H
9 J2 a4 u2 \; d% o5 U, t  M* Z  set-current-plot-pen "lorenz"
1 U& U& n  U; e, U. T* `6 |  set-plot-pen-interval 100 / num-people
4 o1 O" g% U& z7 ~0 c- W  plot 0) ?1 E5 S3 R, V% h0 u& N8 a
- V3 u- s5 |; J& ~
  let sorted-wealths sort [wealth] of turtles- Z7 V- A) A8 R( l* T2 x; T  c
  let total-wealth sum sorted-wealths
( h7 K; E8 Y, H1 X6 m, H& E0 G6 [  let wealth-sum-so-far 0
& o! z8 L" e2 N/ a! _  let index 03 Q  M1 n4 [3 ?/ r
  let gini-index-reserve 0
: m1 e8 g) ~' t. G4 [( r
6 K: K( ]8 M3 B4 Z  repeat num-people [
) N6 Z7 u1 }$ a% i    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
# G' E  {# S% z1 T6 ?$ G  D2 B7 k    plot (wealth-sum-so-far / total-wealth) * 100
7 u$ N7 O$ X: q, B8 k& [    set index (index + 1)% x8 z; y; A/ O; F7 N% z
    set gini-index-reserve, B9 m/ M2 G% i: A
      gini-index-reserve +
9 c$ A0 z6 r2 a$ f; L) E2 h      (index / num-people) -3 v, f0 y* j+ J( B4 O
      (wealth-sum-so-far / total-wealth)6 m, y0 \1 j# S1 E/ t% y: J# w! q
  ]0 o) S( e  _: p5 Z

: g/ c- k5 N/ b3 m  set-current-plot "Gini-Index v. Time"
- H3 L- Y( F. `0 P" ^' ]. A  plot (gini-index-reserve / num-people) / area-of-equality-triangle$ N2 Y6 @9 W# U+ j, d8 J0 w5 @2 V
end
% X+ T# L: ^' zto-report area-of-equality-triangle
7 _$ z, w. _. c) {  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
8 s9 x: z  _3 w- I! tend
 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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