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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: ~2 p" P4 O! S- R; H, z
globals
. d) `& k) f, P5 S5 o1 \. }* m[
* u$ l! z& ]" }  max-grain   
* w7 X/ }$ ]- q" V) a5 M( N; A0 F3 ]
]
# L9 s; x( ^  ^2 K3 J: k3 b2 W' R
( v' X) v6 @% j* e$ s! \patches-own1 o2 F) X9 p5 a7 V$ q+ }+ u
[
2 d, }) g4 [" X& f  grain-here      
+ A7 ~. ?' W. }1 m  max-grain-here  
/ b; r8 e7 H. I$ Q& A9 g]. i( v& S  z6 W( `+ a  y5 ]% z) K

9 M& L' H7 G" H$ Fturtles-own
3 f& d6 i4 L3 N9 j/ }[
8 h, X, R$ [' i/ M  age              
0 E* I* A) @1 a1 o8 h# q$ d  wealth         
: I# l5 E* f$ ~  life-expectancy  7 f+ C3 _* n; D) F8 ?, ^' z1 {
  metabolism      
2 L6 W* }( B* ?0 r4 O% c' O- R  vision
  }6 N8 }3 b# }& K. L! L  inherited         ) ^/ ~  r/ s' z) j0 B; ^7 [
]
) f" j$ ?3 _* P! d: A4 y% c+ J% T* ^/ z
$ s+ N- q6 B1 w0 k' Y
to setup/ r% |& f5 E4 m( n9 g
  ca
2 ]; f( C$ A# B7 b; J  set max-grain 507 v+ Y8 _& ]- W2 s$ ]( G
  setup-patches/ y' L- W/ n" ?1 S& e3 p- h
  setup-turtles* t4 |& P" \( G& R* t
  setup-plots
5 x. N! {. @+ ^, c5 B8 w; A/ L  update-plots5 u# C; L8 B0 ^! j5 k
end
5 [* s9 ^7 |, v1 X( |to setup-patches
* ~3 y/ K5 y) \5 f$ X+ S  ask patches, k4 Z' e7 m. ]. t# E1 _3 G
    [ set max-grain-here 0
3 y" y) `8 a" G      if (random-float 100.0) <= percent-best-land
! z4 ^/ H8 H1 L3 ^* }) a3 [        [ set max-grain-here max-grain
' p2 T1 p+ ?% ]% D. W+ B          set grain-here max-grain-here ] ]
9 C2 Y! u2 r- v4 y: T, {! s# G- |  repeat 5' `  N# m- l# O5 |- B  ~5 @
    [ ask patches with [max-grain-here != 0]
1 T+ |6 e6 m1 [  G* K        [ set grain-here max-grain-here ]
8 g. e7 Q$ n' V' F1 ]2 _+ e      diffuse grain-here 0.5 ]
3 ~5 H0 \) R4 A0 |, w8 g. R  repeat 10
5 `- U! f+ K9 I4 W: O    [ diffuse grain-here 0.5]          3 P0 `' ~1 g, N& R3 e4 a
  ask patches; @( `; X, z5 B0 }; V( X
    [ set grain-here floor grain-here   
( C' Q; T$ j" Q. \7 z      set max-grain-here grain-here      + l& B6 x3 ?/ s, `1 K  ^
      recolor-patch ]9 q* L, _0 B8 d) K6 v2 }) L
end
; `1 m% _' j1 T9 S6 bto recolor-patch  
* M- A. y" I6 _' J8 ~  set pcolor scale-color sky grain-here 0 max-grain
: q* e- T$ D8 C& s+ l1 I! Cend0 l# l: C" ]6 s- ]" ?0 o8 ?* t6 {
to setup-turtles
3 \) p8 O' L' {/ ]  set-default-shape turtles "person"
7 J8 L+ D; x/ W  crt num-people7 [5 z( A5 s5 B3 ]7 h8 y
    [ move-to one-of patches  ' b4 q, Z2 t: n# @! N; M
      set size 1.5  
& t4 K* L# v1 B& l4 U      set-initial-turtle-vars-age
; @' C* O( U1 X9 K  X; Y* H/ q      set-initial-turtle-vars-wealth
, ^0 q+ E1 M7 C% N0 `, i( y      set age random life-expectancy ]
* M- _8 F2 N& T0 p8 M" ?9 H  recolor-turtles
+ S5 i1 Q8 l- b# o5 u/ B% w  L  pend
1 x1 `4 L) V$ N; @( Z7 k/ R4 w8 P3 ~0 A1 }5 q
to set-initial-turtle-vars-age
8 \4 m: N% k2 Z+ j  U# `0 E7 i let max-wealth max [wealth] of turtles
& {( y5 u+ e7 _( G2 |3 A- N9 H   
, N  C+ E6 M6 Z' e# D2 _# m3 H; H     ifelse (wealth <= max-wealth / 3). R& {# R- V- J, B! t5 o( ^
        [ set color red + N; Y$ t4 a7 K, e- r
          set age 0
7 g: b. r% _" J; Z! H4 @$ t          face one-of neighbors4
! _' A% X% l0 T& F. `! b/ D          set life-expectancy life-expectancy-min +
4 Q9 ~( R; X. s! {7 Y" K. k# V& k, ^                        random life-expectancy-max 4 I. l, @0 w. `
          set metabolism random 1 + metabolism-low9 w! e- }7 r" ]* ?9 ?* R
          set wealth metabolism + random 30+ l0 M* J' Y: d6 e, G
          set vision 1 + random max-vision
4 X0 B( M8 r( E- r* A: a% j7 b             set wealth  wealth +  Wealth-inherited-low ]+ f3 w# I! r5 f7 ]
        [ ifelse (wealth <= (max-wealth * 2 / 3)): X) ?5 i$ |' q. N
            [ set color yellow 3 g0 j9 p% W4 _3 ^% X7 D& r5 y
              set age 0  b$ v) F7 W6 V7 t  r! x
              face one-of neighbors4 7 B' G: v9 c* G& E8 v2 C
              set life-expectancy life-expectancy-min +
, k8 [8 s. R, F8 E$ I                        random life-expectancy-max + 19 q* B1 v$ S6 w! `2 m$ l
              set metabolism  1 + random metabolism-mid
% q) y" @% B' w              set wealth metabolism + random 30
* T! s9 g! O4 h* R% @1 a              set vision 3 + random max-vision
: n9 L7 E. S- x0 m* Q$ U1 z# R- J                set wealth  wealth + Wealth-inherited-mid]. a6 w- I- I) z$ w* H6 U: P$ H
            [ set color green
( f" N1 z' P+ F* ^. u* ~/ @              set age 0  Q# e3 n6 i3 s' [# K: u  ^
              face one-of neighbors4
+ a7 Z; z% b+ I9 B8 P              set life-expectancy life-expectancy-min +
" I7 p( H( S! r% Y6 G* T" z                        random life-expectancy-max  + 2
, ]# u% T: {: b1 t7 J& R9 m' ]* ~& @              set metabolism 2 + random metabolism-up/ ~! _. c- w0 |8 D
              set wealth metabolism + random 30" K5 F) |8 ]  m6 p8 M6 w, o
              set vision 3 + random max-vision
* y' u! ?- i! s1 o4 Z4 U# ^              set wealth  wealth + Wealth-inherited-up ] ] + @& `7 O" \, Q+ u) Q
; f- B! T  p# M- N+ r% A
end* Z% F; Q1 }* h: g- A( @) e' d& u
to set-initial-turtle-vars-wealth
" x+ Y2 X+ U) C7 I0 A! C, h let max-wealth max [wealth] of turtles* i: U4 T0 A- P' j* t$ X
          set age 02 |, x6 y. ], j# e
          face one-of neighbors4 5 q- g; Z2 y, h. D
          set life-expectancy life-expectancy-min +
3 i! r- g  v7 h, k4 E! }                        random life-expectancy-max ! h& L" B# `) d7 u. v/ F  y
          set metabolism 1 + random metabolism-up* B5 y' B5 H/ q  f
          set wealth metabolism + random 30
7 P* Z* m! ^1 T& q# m          set vision 1 + random max-vision
4 p" ^/ ?8 A1 A+ Wend  B" P" h3 e; z/ {% F* G
to redistribution# d; Z9 ^0 w5 c, z
let max-wealth max [wealth] of turtles- l* G$ i9 k0 M& }
let min-wealth min [wealth] of turtles  k9 p& s3 j7 u
if (wealth <= max-wealth / 3)
1 H( O& A" [: B5 A) H+ _ [set wealth  wealth + Low-income-protection ]
9 w0 C. ]0 s% M9 s/ G0 Hend
* n) e9 a4 m* N. [. k- X- t         
' x& v/ }: [4 x, b' B% k8 nto recolor-turtles8 Y- ]8 E% T8 Y4 [) P0 ~
  let max-wealth max [wealth] of turtles9 [& |. q9 g' E) J) P& }4 ?. ]
  ask turtles5 j1 g8 Z. [( Q# c7 w# B* P
   [ ifelse (wealth <= max-wealth / 3). U2 d* B6 e4 p7 [4 p7 ^  V% T* E+ c
        [ set color red ]" M) T' h+ `% D8 D; O# Q
        [ ifelse (wealth <= (max-wealth * 2 / 3))( U2 G2 q; F1 C/ A; p  @4 @* D" v
            [ set color yellow ]
5 `/ V( m; z* a' {            [ set color green ] ] ]
  A. n# t% L2 C3 X. a ask turtles [ifelse show-wealth?2 j9 h8 U3 }; G0 ?: A
    [ set label wealth ]* B1 U2 j7 [( Q
    [ set label "" ]]
2 E4 b8 ?2 M4 M9 [end
2 H& m6 f. ]/ E6 K+ x# `$ |. r) ]( Y( @8 }. B3 v; V6 l9 D) {
to go
8 V  k5 v' u1 u" z# z; u  ask turtles
. O1 N* S% i, x) t' r9 I    [ turn-towards-grain ]  ; L, l  p+ A# {8 s
  harvest+ E9 J4 V5 I  t* G4 t* r
  ask turtles( d9 r. x' L6 p6 \/ q/ K, H4 U
    [ move-eat-age-die ]% T, m: F, |$ ~3 D9 i, }- v* a
  recolor-turtles
0 o* i( u' i) t" \, ^8 I$ T7 i9 a  if ticks mod grain-growth-interval = 08 B3 C( G# e. O3 a6 u
    [ ask patches [ grow-grain ] ]- F* E7 L+ O4 ~9 a* I4 x- ?% ?; C$ E  ~
   : A4 ]: M* i2 M6 k8 k  F6 s$ q# t
  if ticks mod 11 = 0
: E1 d* j: [# H; t  t  [ask turtles
- v2 d5 p& Y# `: k5 M5 T' k1 S! a  [ redistribution ]]
- E$ S; u" ~: E1 S) S  if ticks mod 5 = 0
0 {  V0 `0 k! v+ b5 U   [ask turtles. V3 S- v6 U; ^7 |# J, S
  [ visions ]]
& J/ H6 ]( Y' p3 [: |  tick
! g0 p* ^& ^" l: \9 b  update-plots: U9 d% u6 z" s$ y
end& g0 x, ^" }- C: S2 o" K
to visions
# \7 H- x/ d' e; {7 ~ set vision vision + 1 2 ?- z# g1 Q4 j% `2 B) H1 n+ m
end7 i9 f% j( [) z5 h

) C4 L! i) q9 d4 \. q0 x8 j8 n/ C/ i) d
! g  ^7 @5 ^# g( U  u
to turn-towards-grain  * \# i6 }2 `8 S; L* G
  set heading 0
: p6 [$ Q1 D0 ]: J' z8 X  let best-direction 05 n5 W$ I' [6 I+ v7 \# P
  let best-amount grain-ahead
0 h9 t" W! @) E  set heading 90  q1 \* o6 N+ |7 s, d
  if (grain-ahead > best-amount)
* x7 e: G; _& B6 [. E    [ set best-direction 908 b  R1 S: G" ~) h& T
      set best-amount grain-ahead ]
/ z/ B' l2 j. i9 I! l) u; o, T  set heading 180
: J" i9 I0 c" Z- I  if (grain-ahead > best-amount)
) P4 c9 B9 {/ {& R. ]' L; C    [ set best-direction 180
, O3 a' Y# B* J, |      set best-amount grain-ahead ]! L, O- h9 I1 o& h; V8 K
  set heading 270
* P5 o+ |6 ^1 k. ]1 {. I) ^  if (grain-ahead > best-amount)
6 E3 J- q. g/ u    [ set best-direction 2709 E5 e. _  X) F$ z
      set best-amount grain-ahead ]. K$ l: b+ J7 p! ?
  set heading best-direction
5 M2 F# l! |) h( V. `3 Y* l" Fend
9 N. O: X2 |# E+ W4 f/ A+ |% e( f( X+ w5 B! g

' l: u1 j" V2 K& Lto-report grain-ahead    _: Z7 d* P+ ?2 S) e
  let total 0. n9 P' Z) i" P: U2 j# G$ y
  let how-far 1
  x. N" s3 L8 Z3 L$ a  repeat vision
$ r/ \! {" ^% ]* r/ O+ i  `    [ set total total + [grain-here] of patch-ahead how-far& l1 f7 i8 y) E. P: _( D" k1 `
      set how-far how-far + 1 ]
7 g4 R8 Q' Z) k$ N$ W  report total" n5 U) Q$ h8 i/ E4 V9 K$ X" y
end
2 Q5 n: Q5 C" o9 h7 B
- l. l' n% N& J8 J  z6 s' Nto grow-grain
5 @9 ^7 i, _$ x, O* v  if (grain-here < max-grain-here). z6 j& f4 _5 C' _" `
    [ set grain-here grain-here + num-grain-grown
/ Q; y6 ^2 ?6 l6 b+ G, f1 K6 C3 \      if (grain-here > max-grain-here)
/ L; ?. S4 t& V        [ set grain-here max-grain-here ]
9 ^/ S* |. }& i) o) K      recolor-patch ]
& U1 D! ^+ y8 S1 N1 P! zend
, r' N. k. o& u( rto harvest5 N8 A1 i$ f5 O& v/ J6 S9 u3 y
  ask turtles
5 y/ U. v. ]1 J% o    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]2 |5 z4 h! |  c7 b* O7 h
  ask turtles9 k+ [: I# H- Q9 x! V$ O
    [ set grain-here 0
8 E1 T% J( \1 \* o3 J, e0 D/ T      recolor-patch ]- D0 }; R8 c  K/ ]; S" }' E
  
# b% m9 Z# G; s: w4 ^. B0 yend4 X0 x6 h' `: N* I- I& N% J8 J$ Y2 ~9 \

  I) N& ^' ?8 K( e2 j7 L- Wto move-eat-age-die  
/ f& i2 G# n8 O  _1 V( i3 P  fd 1
7 K" J# V6 f2 b- ?" m  set wealth (wealth - metabolism)6 Y' p# [/ }: \& p
    set age (age + 1)
" |+ ^0 s& D% t  if (age >= life-expectancy)( U. o6 G/ C- g/ y* J
    [ set-initial-turtle-vars-age ]
; W2 r) |3 |# F9 ?9 _  if (wealth < 0)
. H  _; m3 v8 G$ l/ R! C    [ set-initial-turtle-vars-wealth ]
4 b% F3 Y( B  [( K* R    0 b$ N5 }0 F( w. G# \9 u
end5 b6 D% A# @( ~+ c

$ x! z' C  F6 B/ A  _& B
* V8 c; E( |6 tto setup-plots
  t8 a& g: {# i* y2 m/ h$ X# G  set-current-plot "Class Plot"
% ^/ d5 P& F% A  set-plot-y-range 0 num-people. g* Y+ f$ k* j. w8 A
  set-current-plot "Class Histogram"
) i1 k9 X7 J/ h  set-plot-y-range 0 num-people
3 d0 I5 g# D5 s- g: _3 P1 k, l) fend" A2 q, e- L! f- X, Y

& R" O' A% }2 y, c2 zto update-plots2 h( B# L4 ]. [- q7 H
  update-class-plot
; x, E2 b5 {8 o1 h# M  update-class-histogram
$ s- f7 X" s7 k. c: x7 F5 r  update-lorenz-and-gini-plots; U% ?5 c$ p  G' s3 d% Z
end
) X- }  C' F5 N1 P/ W2 @: x' T/ w7 W5 S
to update-class-plot; i8 W4 h. }- X! c
  set-current-plot "Class Plot"! J% c8 ?) o6 F2 o! v/ K' H) {( c
  set-current-plot-pen "low"
% W( c! \( u2 R4 h* ]" G  plot count turtles with [color = red]9 M/ E6 N) T. e2 p
  set-current-plot-pen "mid"
6 E& a" I- Z3 ?6 p  plot count turtles with [color = yellow]3 W; f- k( U6 r. ^# ^' ^7 S* N
  set-current-plot-pen "up"
2 l1 o4 G, }) L9 ]' V2 k  plot count turtles with [color = green]. G$ I# k9 O1 ~/ \" h% V3 @
end
* X3 S+ d% Z1 P% J* d4 f0 _- |, ~% E: x% m  U7 f
to update-class-histogram' c- O4 A# f5 \6 i
  set-current-plot "Class Histogram", J' \5 U( Q5 E9 ~
  plot-pen-reset. y0 j% q& r  b5 W% R
  set-plot-pen-color red
) |' W1 v1 p- t3 c4 ?8 W0 R  plot count turtles with [color = red]
6 f) \# @4 Y; }: _  set-plot-pen-color yellow- H9 u2 i# H- D4 m/ B3 T3 S
  plot count turtles with [color = yellow]
; F; Z; o, b" |  set-plot-pen-color green# F1 ?4 A9 ?: @% F9 }
  plot count turtles with [color = green]9 @' K4 R, X, K0 `* ~% \
end5 v, {7 y6 P8 H* O, [! O
to update-lorenz-and-gini-plots/ b2 [! ]; P* [: \
  set-current-plot "Lorenz Curve", C5 |* G5 Z  I! g$ Q- r
  clear-plot" V0 o5 l+ L; F+ b7 |, Y3 y. Q) v6 r
# u) |3 Z; I: W* {# d( N  C
  set-current-plot-pen "equal"
. Y! n+ w/ [6 T9 N- q  plot 0
) S+ R3 Z9 u! k( C0 ^0 Y  plot 1009 x" P6 g8 e6 x3 @, g5 @
' V2 N6 Z& x# I0 }3 @" _
  set-current-plot-pen "lorenz"' T! T) @& Q. i6 p' `8 W, w
  set-plot-pen-interval 100 / num-people  n6 D1 [; y% ^: C* b
  plot 0
; I6 o( H; w- S' p
# ^9 a& G! Y. k  let sorted-wealths sort [wealth] of turtles! s  X8 r: q  L. R4 c8 u6 S
  let total-wealth sum sorted-wealths+ M( Y9 c! ^9 y" @8 T* |1 f
  let wealth-sum-so-far 0; o; E/ v( n/ s8 M" F5 b" M. I
  let index 0
$ J  r6 l- p. I) V: O& D7 P2 S  let gini-index-reserve 0
. e# w0 h# g, q& N: T( j
% _4 o+ i: e: F& Z6 l5 q: g8 Y  repeat num-people [
( B1 q8 F9 T# z5 F* h    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)+ N( `9 N0 Z% {% q# {% ^
    plot (wealth-sum-so-far / total-wealth) * 100, P9 ^4 x* w/ \4 D* a
    set index (index + 1)
% ~0 ]: Q8 l+ D8 L& \/ \    set gini-index-reserve
) U2 L. l0 J9 i# j4 S: ?1 I      gini-index-reserve +
! I" r  E) H" E2 T      (index / num-people) -/ }( A. p9 |1 @. B9 W. f
      (wealth-sum-so-far / total-wealth)5 Y; u3 N# X+ i" l
  ], k* p" z+ S7 G) D4 j/ z5 S+ j4 V* f
# D5 C: U+ h- u, L
  set-current-plot "Gini-Index v. Time"
/ R9 L$ Q0 L  y: ]! g7 \, D  plot (gini-index-reserve / num-people) / area-of-equality-triangle
) H: S! r0 ^7 g+ L. t& n( }end
$ u+ M; j* C6 P% b+ B. Vto-report area-of-equality-triangle7 G! ?4 i) f9 L- t4 p" Z+ M
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)" O9 w6 B: H3 v4 j
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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