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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
5 \: X3 g' `4 V% sglobals
7 ?5 V. U3 ]& O8 ~& _0 {/ w- r[
: f1 t# b8 j3 k1 j# k  max-grain   
7 p: B1 ]. s! J& q3 v8 \
4 N! A% G! f  ~. e]
! X0 d* W, n7 y  S# v* \! \, y) }! V. D; o! r
patches-own  P  \0 O; g6 y" w. z! |
[7 _# x2 D9 c+ I' M/ J9 }9 J
  grain-here      
+ c1 G# p2 i/ p4 U9 A0 C$ P7 C* L  max-grain-here  % H8 |. G; v$ i/ B, j
]& U. M6 D  n' X% d7 c4 Y) `' g  e

: o- y/ O) q  f- v4 Uturtles-own8 v9 ~( s9 C- V% s1 v' v, X
[
. \/ h" l) I( W7 }  age              ; b* q) W( U- t; W) p% R: P
  wealth         # I' i/ X9 J4 t
  life-expectancy  6 h& Y( O* w3 R
  metabolism       3 N" P  u3 P. i- N, ]
  vision
+ P5 U: U- S8 o0 R- S1 q  inherited         " {7 q8 [, u  U
]
6 S, A4 I, J8 M
  `6 q0 i  S  |* e0 y. t1 g: ]/ B  A7 f7 p7 C
to setup
+ v& @2 b! x0 {0 @  ca, J  j1 A& B( D4 Q) w. S8 e
  set max-grain 50: A/ z9 @9 f: M2 {' }
  setup-patches
0 c0 R% q& l2 I2 O3 s  setup-turtles
. K/ D9 X! x  n0 m- B6 R  setup-plots8 y" ?6 X/ m! e, R
  update-plots. Q0 B. X; _: |7 Z/ K, P
end( v2 i% n" Q3 m$ B
to setup-patches
; l+ c( {. d/ }6 I: x8 p  ask patches8 o+ X: M5 t# C  s8 A+ b
    [ set max-grain-here 0
" m7 a% u" r1 E' }) I      if (random-float 100.0) <= percent-best-land
2 A' o" M) p, O& t" T% `        [ set max-grain-here max-grain# T$ L$ H% ~# I* d
          set grain-here max-grain-here ] ]* P- o) p! O; u8 S: h
  repeat 5
% F# @! A. W1 R5 b; I  w    [ ask patches with [max-grain-here != 0]
1 v) _8 ]% U6 A, f        [ set grain-here max-grain-here ]
* N+ }) Y1 J2 E; e9 T      diffuse grain-here 0.5 ]
, z6 H; s) |' Q% X, H' x  repeat 106 f/ y0 S+ d0 W# [5 a
    [ diffuse grain-here 0.5]         
1 @, N  x" ]1 F" y3 k7 G  ask patches
- |0 P  ?! u1 Y( S    [ set grain-here floor grain-here   
( e( ]- O# |2 I! F      set max-grain-here grain-here      
; Y5 [8 t) |+ s; @) F% o. n      recolor-patch ]! s/ m" x, r3 S% d3 K9 {! D
end
, X. m# m  {1 ~$ r# E6 x& e5 }to recolor-patch  
- r) F. c/ o: p) z7 M  set pcolor scale-color sky grain-here 0 max-grain
( Z* L! F/ x- a% r1 B/ cend/ f- ~/ x# v) g5 H3 a$ ~
to setup-turtles4 S5 }. M+ A  e& m8 |/ P
  set-default-shape turtles "person"7 P8 ?& A) n: P8 u4 _
  crt num-people
6 Y* o) z0 T% @$ J9 b( z+ v    [ move-to one-of patches  
) z1 S& V0 x: {: |- D      set size 1.5  
9 n  B8 d9 h. `% i* L/ Z3 k9 y8 l      set-initial-turtle-vars-age1 C+ u2 W  }4 J5 [3 @
      set-initial-turtle-vars-wealth5 z" ^: x( Q% @, ^' t: t, Y
      set age random life-expectancy ]
- J- u2 X! o; a9 W5 Y7 ^( O: q  recolor-turtles, J# C  @# T3 M- I5 u  q4 A
end# S+ V6 M* n* F" p
0 c! |- w4 z* f+ ]6 V9 U$ v3 h
to set-initial-turtle-vars-age
& h  d* c( w  y. ~$ N9 X/ x& o* F3 p, E let max-wealth max [wealth] of turtles' }$ y& _, `+ f0 v2 S! m, Q
    % x$ x" X, ?4 V+ Z0 u- ?: T$ @
     ifelse (wealth <= max-wealth / 3)
1 k" X! V8 ]; W1 Z- ~* s4 a" {7 K# Y7 M' {        [ set color red
4 @( J; G- ]& e/ o; p9 i( N' |          set age 0
( H) v" l8 j; D9 s          face one-of neighbors4
$ z9 s# ~/ j7 f3 p          set life-expectancy life-expectancy-min +% q- t4 q( l3 A- ~8 Q/ O. |8 n/ q
                        random life-expectancy-max , z5 P( ]; B: u( U4 ~0 ]
          set metabolism random 1 + metabolism-low' m; l  ?# u. g5 W9 t
          set wealth metabolism + random 30
7 W- ]% t2 Z  l1 L          set vision 1 + random max-vision
% Q( }- N2 Y- x  x             set wealth  wealth +  Wealth-inherited-low ]" U. H& J, f3 I$ L  h
        [ ifelse (wealth <= (max-wealth * 2 / 3))
. l  I5 l2 T8 Z3 v5 L            [ set color yellow
' C% e/ [" U; |* C  V4 V              set age 0( C) L5 P1 I) X/ s
              face one-of neighbors4
1 ~0 k  v, y5 r! x: V- p" _              set life-expectancy life-expectancy-min +
5 V" p9 W) n) ~: E6 N/ p" U                        random life-expectancy-max + 14 w$ \2 m7 i" k/ @
              set metabolism  1 + random metabolism-mid# N( O: i9 h; @' r
              set wealth metabolism + random 30/ |# l2 u! d4 l
              set vision 3 + random max-vision' F3 a/ D/ B! x; N
                set wealth  wealth + Wealth-inherited-mid]2 [3 u$ M. V5 L7 N
            [ set color green $ M& j- M: ]8 I7 J7 }
              set age 01 R1 k4 ]0 M% N4 K# o
              face one-of neighbors4
7 o) o. S" ]- J' I1 G) L5 W+ h              set life-expectancy life-expectancy-min +5 L% Z+ e; D/ ~+ |* {
                        random life-expectancy-max  + 2- m8 S* a' ^; R; K5 f
              set metabolism 2 + random metabolism-up; @/ b/ @( B2 [) ~0 Q
              set wealth metabolism + random 30
* p& K0 S, c. r; E0 p              set vision 3 + random max-vision
, j& F$ |) c' W" @) T              set wealth  wealth + Wealth-inherited-up ] ]
5 u" k$ z( }1 l5 @1 c" ~# m& `' k ; o5 W7 t  V! a1 z. u1 c
end
. W- B/ A$ e; r, r  E0 ^# @to set-initial-turtle-vars-wealth
3 q# }: l. {0 U/ K+ O) _ let max-wealth max [wealth] of turtles
5 z" i, J+ a) U          set age 0
! ?; Y: O5 c1 t! H/ U+ u6 \          face one-of neighbors4 ' m3 I# W0 m' m
          set life-expectancy life-expectancy-min +
$ a& M! c  W" ?; s5 B                        random life-expectancy-max
# m+ ?7 W& Z8 W. p. z          set metabolism 1 + random metabolism-up
9 B2 N- F8 W- }( _8 ~          set wealth metabolism + random 30
- `% c3 v+ E' ]          set vision 1 + random max-vision " P, V( O  S5 R1 w0 y& W( Z5 w
end
* J* D" }3 E2 f3 dto redistribution
# ]5 e+ j/ e& j1 }# S' T: U+ V* J( mlet max-wealth max [wealth] of turtles3 i& k* F6 d6 ?1 D
let min-wealth min [wealth] of turtles
" W; @$ a5 @. jif (wealth <= max-wealth / 3)
2 D6 R& Z! r. q; U [set wealth  wealth + Low-income-protection ]
; e' Y0 r& I; x3 _end
. x, J0 t7 G' d         
1 a& E& J% D# ?to recolor-turtles
" ^+ ~3 z: [; G1 D  let max-wealth max [wealth] of turtles
' E/ X5 t$ x! P3 e. T  ask turtles
/ W* ?. [/ I; `/ |   [ ifelse (wealth <= max-wealth / 3)- V0 p! w% m2 V0 l7 ]  {
        [ set color red ]  |4 G; l5 `# j& r$ i
        [ ifelse (wealth <= (max-wealth * 2 / 3))
6 {. j) V7 `/ |, k- w4 m            [ set color yellow ]
; x2 a- X  @! ~6 w0 k  W            [ set color green ] ] ]4 v; i. D& D$ T* w$ [
ask turtles [ifelse show-wealth?& Z5 Y) V5 v8 L
    [ set label wealth ]# u4 }! }/ O. A, s9 X5 s
    [ set label "" ]]
! B# o0 [6 S! P+ R( N( h4 }end- X! a& Y; M! Q8 O0 h

+ {' L0 ?3 D% }1 V% Tto go' [" v( |% }6 [1 s- ~* y, _& n
  ask turtles
% u# h, U$ L. T7 Q- m1 a    [ turn-towards-grain ]  
) `' {5 F% i# N% v6 u, S1 a# t2 G) N  harvest
; U% {  m4 _1 J7 n* J- o0 n0 |. V  ask turtles
3 i8 U: h( D; R7 J1 [6 ~, U* ?    [ move-eat-age-die ]% y  i: h" i5 }3 z6 ^: k( J+ U
  recolor-turtles
5 S% U& Y2 a' @4 z4 O" s  if ticks mod grain-growth-interval = 0+ P5 n# R  U/ o( y5 ?* U
    [ ask patches [ grow-grain ] ]
+ Y# G( g; g8 [   
7 k* e  x$ k3 h- [" B- e5 @: x  if ticks mod 11 = 0
" }9 o% Z- C! Q, m! [& j  [ask turtles
! a2 @) n7 ?6 ~' r( b- y# {" |  [ redistribution ]]* [8 m8 b  _" b/ E, @1 z) V6 W
  if ticks mod 5 = 0
( D1 r; T) v: ?   [ask turtles7 c% T8 M: L* M* D
  [ visions ]]! q6 m/ r# B6 F
  tick
' I# O$ O. x1 U4 }' t  update-plots
/ x* W7 W/ W! H3 j7 A$ @. p( ?4 R! Tend/ J$ c# h; M, k9 @
to visions
' ^4 H: F' v6 x" D. u( |4 A set vision vision + 1 ' b- x7 @! R1 ]5 K4 W+ k8 ?  m
end6 b6 R& z/ v" ^8 [6 @

/ p! m2 e$ g" t! s1 }% ^9 t! K* ?2 c

: f8 }4 X% ]/ s# C) g/ V) }& U' D4 xto turn-towards-grain  
1 X. W% Z; @: O) H  e  set heading 0
+ C: R- |  s) Q  let best-direction 0
8 d) Y; r# g- V  let best-amount grain-ahead6 L- B/ k* q. e  b
  set heading 90
2 X$ J% ]4 `# X& M! {" {  Q9 G- ^  if (grain-ahead > best-amount)0 e' o$ B1 y: A- n+ j8 D
    [ set best-direction 90
6 w, u  |7 `- y( {& m8 D6 ]      set best-amount grain-ahead ]* b: g5 {0 Z1 m0 M4 s6 K( g  _8 @; ^
  set heading 180
7 H, l; `/ [+ I4 E! v# F  if (grain-ahead > best-amount)& l7 O4 y' y, c% u3 N9 v
    [ set best-direction 180
& r: X) L" N* N3 l      set best-amount grain-ahead ]1 X9 I/ v) w! D7 ~' y) R
  set heading 270
' |* ?# I* i0 ]/ a2 n  if (grain-ahead > best-amount)2 v% }) K4 }  i. E5 n; }3 Q
    [ set best-direction 270
$ E2 f' f4 |) E% u  S6 _4 j      set best-amount grain-ahead ]" ]! v3 A; t2 g9 u( o/ c( P/ ]% A, d
  set heading best-direction% [# `' X2 n/ M4 o$ D# n8 y
end
. Y% I5 V7 t2 x+ Y* {0 J/ x5 C+ m/ M* n

6 {- z0 A+ _: O( \to-report grain-ahead  
4 o) y4 p: d* N6 v5 O8 }  let total 0
7 _* P: ?( ]/ w8 J6 C. {  let how-far 13 `& f, @; U# i4 A% t3 F
  repeat vision* U" {; A& t, [, O9 ?6 y' `' {( l
    [ set total total + [grain-here] of patch-ahead how-far
3 @5 `* R) b' A# ?2 s3 a+ Y( f$ O      set how-far how-far + 1 ]
" d; c$ c  M: H7 ^  v  report total
; F! v* T( b2 N2 Y* Uend
7 I5 O: S  F! C' Y7 }
; m) u7 n& n2 }' E. Fto grow-grain
! _5 d& p1 P* G( N" E2 M  if (grain-here < max-grain-here)4 Z2 z) q& ]" g7 V4 t3 D
    [ set grain-here grain-here + num-grain-grown
) A* T  N# M2 y! H3 N( l, k      if (grain-here > max-grain-here)
8 J. o! z3 w- V: z        [ set grain-here max-grain-here ]  I' Z/ Z7 Z3 }  O; x
      recolor-patch ]
; a/ i. z% A! q6 T- }end
/ r+ v) R) O) s7 a+ zto harvest2 B, v/ x5 }7 {/ W: v7 N4 B1 K
  ask turtles3 R# D/ E% B0 v* n
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
* K! D2 \5 y6 G4 ?% _9 T; R$ ]  ask turtles
. h% f- @) }+ p# y5 a" q    [ set grain-here 0$ n; h8 O6 r% D) @! h
      recolor-patch ]  u/ o3 P( t% _; D- n6 }
  % v* q% r$ Q) }+ O7 T
end
5 ~! x& ^; f- |% l; y# w8 Q8 H) z, H) u
to move-eat-age-die  ) q6 ]! h( |1 e. R
  fd 1
! P1 ?/ d5 ?3 t8 n: I# E, m" _- q  set wealth (wealth - metabolism), j0 Z1 k& y8 r5 h8 ^. B
    set age (age + 1)
4 p. |) K' g: N3 _& `1 b. O& {  if (age >= life-expectancy)
. g) w& F1 r3 B' ~& `9 R% T    [ set-initial-turtle-vars-age ]
! S( N6 x* s  h8 W3 b5 ]- @  if (wealth < 0): Z) @6 b# N" u& _% D8 C; L
    [ set-initial-turtle-vars-wealth ]9 E) V: t% Q5 P4 K- Z
   
2 b7 _; v- R: w* K  m) Wend- p9 U  m; n# ]$ [

7 N9 X( _% g7 F+ I. {( w; j
6 m$ _- W9 K% u, ]% a! j5 Yto setup-plots
$ L; B. ]' h* V6 N3 y# G: T( B4 N  set-current-plot "Class Plot"0 f6 F8 V: M9 K! B2 p! c/ z$ j6 V
  set-plot-y-range 0 num-people
: J5 i6 N) \: |1 l+ a* S& u  set-current-plot "Class Histogram"
0 C& `" N# g/ S7 Q  h7 e  set-plot-y-range 0 num-people
4 ^! j9 v- Y& X+ A0 o  Wend
7 \* o% U2 E. \+ H5 d$ G( f
) \0 w8 M! O! i0 t+ W' a" z0 ^5 [4 Zto update-plots
% s/ q) {# m/ G! U; N, J  update-class-plot% N3 s5 t/ V0 B  c- u6 @. q
  update-class-histogram
% N0 z( R# E4 Q8 E4 G  update-lorenz-and-gini-plots* y5 X6 e7 q( I1 \& S0 Y' C4 {% Y) f
end& ?: x2 j; k- S) `
7 E7 b) J' b+ I4 w. H
to update-class-plot
, c0 t6 d; y8 |! K  set-current-plot "Class Plot"
6 C3 r: F) d, I. h: r8 ^. P  set-current-plot-pen "low"' v3 Y" |+ N7 Y5 |4 A9 E0 a
  plot count turtles with [color = red]
8 {0 b* k. K) T6 W2 J8 J# T7 G  set-current-plot-pen "mid"$ `/ f1 _; U/ k, L
  plot count turtles with [color = yellow]
6 s2 N& t) A- e% i8 U+ i$ k- o0 Y  set-current-plot-pen "up"
% G2 }4 O6 x" R3 D& i" o1 r" l  plot count turtles with [color = green]
0 z* n! B2 m+ p/ p5 b$ j) }$ i7 Aend; l1 y9 F7 n+ h! w6 A

( o+ ?2 o) P" o( l. L+ @# }to update-class-histogram
) P7 J) K( w* w/ ^+ w  set-current-plot "Class Histogram"3 `6 z( T$ D: Q0 y5 Y: k5 u4 I
  plot-pen-reset
2 h6 P0 U, ?1 ~% W7 b0 s8 o+ `  set-plot-pen-color red8 i5 H$ ~' A* n& m4 F9 J
  plot count turtles with [color = red]
; c7 o% v2 T+ v0 ^! M" |: `  set-plot-pen-color yellow7 z" ]' S7 Y( c
  plot count turtles with [color = yellow]. A+ C/ a1 J5 v/ C1 v
  set-plot-pen-color green
5 b5 J$ T( F3 y; h  G) p  plot count turtles with [color = green]
1 \) C1 N8 M8 z" T3 M% xend
- k% s2 c9 N0 X% Y/ H" q5 Q1 pto update-lorenz-and-gini-plots
- K+ ^1 Q2 _6 z5 r2 V  set-current-plot "Lorenz Curve"
& K7 e* E/ e0 [+ Z" `( }- S# ]  clear-plot; ?. }. |6 i4 s
: q' {, B0 A0 ^) U; ?3 N& T
  set-current-plot-pen "equal"
% |3 ]1 |$ I  Y* z- y1 W) ^* G  plot 0& N1 m, v% ?0 S; X" P: r5 _& u4 N( c
  plot 1001 Z, N& O* `/ Q4 e2 e) E5 Y8 c
9 A, f' b5 @; _4 G
  set-current-plot-pen "lorenz"
* P1 ^* F2 q: e, _8 `" T* v  set-plot-pen-interval 100 / num-people' |# \6 N0 \! c: p1 X( r/ x
  plot 0
% s9 e! V3 G% `' u" N4 @2 K0 ~+ f! P4 ]8 {
  let sorted-wealths sort [wealth] of turtles
% t' ]) V6 [% H; N& O) {  let total-wealth sum sorted-wealths
0 m: ?- c# W7 f" A5 b/ S- Q6 ~: n  let wealth-sum-so-far 0
1 t0 r& R' e; _9 E  let index 06 |6 _  J) W  T3 ]+ h% t. n# L) x
  let gini-index-reserve 0
: P$ m" }4 Z! v8 e9 Z1 m, T. P8 b( n; J' m9 Q
  repeat num-people [: z  _2 v2 q7 f3 Z& b5 J; e
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
0 D/ `% ]& v7 S+ N5 Z: @9 u    plot (wealth-sum-so-far / total-wealth) * 100
8 P! W; L0 f. N# ]3 o# w( U    set index (index + 1)4 ?4 i+ |' }& w; X( i
    set gini-index-reserve
; y( K7 I6 [. M9 L      gini-index-reserve +
- @+ w$ A8 d' T5 b' Y      (index / num-people) -
2 j( [7 `: V6 l! T! f      (wealth-sum-so-far / total-wealth)  L# m2 H8 i* B
  ]$ _% g; b/ `) K5 A9 e2 d
$ M* B8 u) O; p
  set-current-plot "Gini-Index v. Time"
5 @3 [6 U: v* E5 F  F  plot (gini-index-reserve / num-people) / area-of-equality-triangle
# i# D+ b! R: g8 l' ]4 ?) D4 lend
+ J' d8 m5 \' C1 a: u/ z6 G, m' n" l9 Wto-report area-of-equality-triangle
. ^( o6 {1 g4 T* d+ Y( U, e: Y. Y  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
% d2 e- H9 @, \: R1 b2 W2 Gend
 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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