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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
$ e; N1 O2 \3 O5 ~globals
% t/ g( O, o9 J8 M% @' f! v[
0 J4 M$ q* B6 K: d2 y9 }  max-grain    $ K( ?) O$ R5 y! L+ T

& p4 a; d3 m5 k/ i]( Z7 a" Y1 |9 o. H+ f
4 X; X* d; h4 h( S
patches-own9 G) `$ T" t9 o3 ]! a! X  H- b* j
[
. p4 z! o: s, e$ D9 f  grain-here      ; G$ j( |% ]6 b
  max-grain-here  # U, V0 A) P) _! S3 t$ C$ O
]. G( ~8 G& s) c& {

& d) V% U. _( M5 g" y& Cturtles-own: S& T2 Z# j' K  H* M
[' R8 @6 f. X1 Y& t7 \$ l  r* X
  age              + {6 }0 n) u4 z  D& ?6 R
  wealth         ( B7 R6 ?5 y) O) [# ~
  life-expectancy  + R6 H! w1 M' Q( l
  metabolism       ' s7 @$ n5 c: Y; n; y
  vision+ R. S9 m2 W' i$ L
  inherited         7 ~  _6 ]  J& u9 A: i& J  U
]
% Q% D2 a; `: D, m# @4 S+ j! @
0 ~! ^* p4 I8 @+ ^  ^% n1 a$ x( q' ^& U; Z7 T5 k4 X+ J; u
to setup% e3 k7 h: J% x1 n" j
  ca- s6 X7 H" w4 W" `/ @9 L. c
  set max-grain 50
" `9 X# O! d, H8 o, q  setup-patches9 I& H: y2 b  D( h' K# P
  setup-turtles
5 Y' I8 I$ x$ T- f) x9 N# X# M1 R  setup-plots4 W0 \# j0 X. y2 i6 ]: K$ |& {
  update-plots
! B( \$ N% G# ?0 L% |: H" yend/ c5 l6 L  g. Y& i$ A- n2 y" U4 w9 c
to setup-patches
8 ?2 c: r/ [& Y' {" Z  ask patches; ~. C) G" C- _" ~$ o5 m
    [ set max-grain-here 0
+ F3 M) Q& |8 l3 v. x      if (random-float 100.0) <= percent-best-land
- ~. t& _5 Z1 Z        [ set max-grain-here max-grain. I' p1 `/ l- `3 E
          set grain-here max-grain-here ] ]6 c9 \: X! M3 G
  repeat 58 K1 k( V! Z) ?
    [ ask patches with [max-grain-here != 0]9 Z" K. c  X7 v( T& F, w' p3 B
        [ set grain-here max-grain-here ]
2 y  p' F2 u% T+ M* _. E      diffuse grain-here 0.5 ]
! v: _& X1 {: f# M4 o: @  repeat 10' X0 ^0 E' h0 B6 J# k- w3 a9 R
    [ diffuse grain-here 0.5]         
3 E  R( \7 L5 i! \  e  ask patches+ i4 o4 k% x8 W$ r) c6 g: }$ @
    [ set grain-here floor grain-here    ) W% W# ~- n0 T
      set max-grain-here grain-here      
" V1 F5 D7 ~  p2 Y5 R      recolor-patch ]
4 R( ~! S# T, l1 Z5 \end1 h+ K: \  d4 Q) `2 O
to recolor-patch  
5 w: q/ h5 j1 y7 \2 G4 o& I+ x  m  set pcolor scale-color sky grain-here 0 max-grain$ G' V* k- X6 U$ N) t" S' \  K
end% o6 G6 j  Q: Z1 x8 \8 |. Y, _
to setup-turtles+ Y, n( g' S& e; y4 K
  set-default-shape turtles "person"
# j4 c# P/ l& Q3 r  T) `8 |  crt num-people
; \3 E; r, O# D) `    [ move-to one-of patches  
# ^: X7 D7 ~% g: r' `1 g7 L* o      set size 1.5  
) [3 D- O2 s1 |7 N0 O+ H# L( P2 M6 \      set-initial-turtle-vars-age7 d# P8 Q/ s8 A& B) P
      set-initial-turtle-vars-wealth
. Q. x! {" J" Z/ R9 S8 F( b4 Q! k9 Q      set age random life-expectancy ]7 ?  S" A% \  S" L
  recolor-turtles
) ^0 X% h7 V! j9 a' X3 {end
0 j9 `% A1 F4 {9 C+ a  H3 h6 q3 G
to set-initial-turtle-vars-age
4 B# O. X. N) X; ?1 P let max-wealth max [wealth] of turtles
: l& ~/ u+ E5 H( T9 ?    ! Q# R3 y% }4 ?6 z* b
     ifelse (wealth <= max-wealth / 3)8 W% z* ^* X" o2 b4 W# f
        [ set color red 4 N+ G3 u# m; W9 \3 K) I
          set age 01 G# W0 v; l5 O/ G% C
          face one-of neighbors4 . k# p' x( T# V4 l% H( X
          set life-expectancy life-expectancy-min +
+ F. H8 w) F$ d, I                        random life-expectancy-max
/ A" A) m7 q2 h* [" x          set metabolism random 1 + metabolism-low
( P- Y! X. r4 _5 U; k( r! K5 H          set wealth metabolism + random 30
% f" G, T# _9 Z) Q! M  R5 ?          set vision 1 + random max-vision* |/ Q! r! J/ w6 x, q; Q+ [
             set wealth  wealth +  Wealth-inherited-low ]
9 s  M1 w* R0 {1 ]        [ ifelse (wealth <= (max-wealth * 2 / 3))
. l' F6 D4 l% k9 [7 F% N            [ set color yellow
" m, _  F! W  n9 T' U6 w. Z1 Q              set age 0+ p% q- V' q0 m. G; j
              face one-of neighbors4
- \- a! J5 i  R# B( \4 Q" n7 Q( T              set life-expectancy life-expectancy-min +
6 T4 g: H3 G$ l: c" j* @7 P                        random life-expectancy-max + 18 \1 x: C7 i+ ~( i, A; B
              set metabolism  1 + random metabolism-mid
  @  X8 h) m  w/ o              set wealth metabolism + random 30- B/ [& o5 b6 `' z+ j' S! M% x  H  B
              set vision 3 + random max-vision
7 v% c% n+ z( K1 d                set wealth  wealth + Wealth-inherited-mid]
" `; G) N+ ^* A4 h- R) H: O            [ set color green
0 M, S/ G  \2 q( C              set age 0/ [" o) M6 ~& `& c# J8 V
              face one-of neighbors4
8 D+ d6 S4 ?. L8 G3 Q              set life-expectancy life-expectancy-min +
) y) _, y. y5 D) B/ N# G, G* s                        random life-expectancy-max  + 2
+ s# }. O& L0 [: t4 {' Z. G              set metabolism 2 + random metabolism-up) r" b$ v6 V( Y
              set wealth metabolism + random 30
6 e! c/ J2 E) E: b7 l              set vision 3 + random max-vision
; X' b0 j2 B- U              set wealth  wealth + Wealth-inherited-up ] ]
6 D9 R% I8 d1 a" k/ r
3 z2 M, t- Q# N. ~& lend
: K3 W5 ]- C6 u: @" ^to set-initial-turtle-vars-wealth
" {% w" J& z+ o; `* C) O: j let max-wealth max [wealth] of turtles
& G+ r1 q4 d. M$ V; x5 V% c9 K          set age 06 p1 |& B, U# C; V- }( ?" j! }
          face one-of neighbors4 # o. B1 T# {: H
          set life-expectancy life-expectancy-min +
& O& R( X1 v" O% Q6 T                        random life-expectancy-max
6 B, m2 U8 J( H) X' W$ A% ^* m          set metabolism 1 + random metabolism-up
' r& v( s( C% Z" t/ K          set wealth metabolism + random 30# P3 D1 \6 S7 i3 B  @
          set vision 1 + random max-vision
9 r. x% F: u" {end# S9 z5 \( y% H( O' c
to redistribution! E( P0 A9 a- \  A; D
let max-wealth max [wealth] of turtles
  r+ ]4 z1 m6 [' u( Nlet min-wealth min [wealth] of turtles" _+ O/ I% Z) v5 S7 B
if (wealth <= max-wealth / 3)+ a1 q* Y1 L- |- S3 d6 ^
[set wealth  wealth + Low-income-protection ]
9 t9 B2 h% P. n$ g  f% F# ^end
1 Z+ L9 c2 V+ w% W* r/ M5 O          8 R4 ~. v, F3 H" ~3 Q
to recolor-turtles
7 `2 `) H  J% Z- `$ f  let max-wealth max [wealth] of turtles" F0 b! u8 K; Z
  ask turtles
2 c2 M0 u+ B+ I/ \& x6 a   [ ifelse (wealth <= max-wealth / 3)
7 f1 C; r/ ^6 O  W/ f        [ set color red ]* c2 d5 k1 n8 t! g* M2 K$ v; M
        [ ifelse (wealth <= (max-wealth * 2 / 3))
1 l+ P9 f* b- G            [ set color yellow ]* d+ W4 y* ^9 l& t
            [ set color green ] ] ]
/ u. D# w# C% M- p0 S ask turtles [ifelse show-wealth?
. \$ ^3 {. w. d. x8 D/ y    [ set label wealth ], |2 a- @3 @! `# p
    [ set label "" ]]
, _) y3 K% F( n# A$ p$ xend- _2 }, _7 \) `/ }8 N. ?+ B7 d

; c0 s: ]) Q8 x# m' x' m2 ^to go
  ~+ B( ^! u+ `5 ^8 m5 M  ask turtles
! r# d* _# f6 G1 U9 B6 U  v# f0 F, a    [ turn-towards-grain ]  
. f. [0 L; f$ t' e0 a' j  harvest
5 f$ e4 ^3 X1 l& c  ask turtles8 v1 ~3 c. r" L" t3 g
    [ move-eat-age-die ]1 i" d- P6 [  j) e" ]- P0 l" r
  recolor-turtles
+ Z  ]5 l' Z: O! U1 M$ e6 r+ Y  if ticks mod grain-growth-interval = 07 i  A. u% z$ S# V& w
    [ ask patches [ grow-grain ] ]
, Q3 O$ A( |' L/ H! e) Y/ u   
  S; ^# T8 x( u3 p3 S7 b1 I! d  if ticks mod 11 = 0
+ u" {) f4 c, n1 R2 e. A  [ask turtles
: L- M" u( o- i  [ redistribution ]]
/ h  x: ]4 e: U6 Z. |) m  if ticks mod 5 = 0+ c. T2 m, x6 u+ U3 W
   [ask turtles; C2 K; ?: g5 G8 k1 l# Z
  [ visions ]]
* V- d" ?8 s+ x% m/ U+ |: s4 m  G  tick, p- G" e% u. U- K% |) S
  update-plots
! {6 y, ^1 ~* ?1 I' R3 R$ j# v& Oend8 Z+ ]# K6 b. ]( O7 Q
to visions
) R$ g2 K* ]1 X7 x& {8 N; R set vision vision + 1
# \. a! R3 k9 a& dend
: ?7 `' {$ l: C
3 v& r: l5 w; q# a  \7 h) P) z/ O2 I% z( k3 N% k  F0 u  B

# ?% R8 J/ Q0 \# j! E% v! G( r/ rto turn-towards-grain  
& Z+ ~7 H8 c8 e7 p  set heading 0* Q6 y* [+ l+ k2 g7 X4 _
  let best-direction 0
1 R9 o: @( M" x% ]* L, A8 ~; B  let best-amount grain-ahead; E7 @+ [2 k% {$ @: Y- i
  set heading 90+ C) v/ Y- b9 S3 p1 _
  if (grain-ahead > best-amount)# z, d2 |8 V- W% f% }
    [ set best-direction 90
) x0 ~. p' [6 x$ Q9 W4 p      set best-amount grain-ahead ]
4 z+ I5 o4 ?0 u% [- p, l  set heading 180
% F( v( @) _& k4 r% r  I/ ]5 u, z  if (grain-ahead > best-amount)
% q8 a7 B$ E- w1 @8 n4 s    [ set best-direction 180
% F9 V4 ~, t" q" t" J% D0 n      set best-amount grain-ahead ]
% q' c7 k3 I4 Z, c  set heading 270# d* e' |$ ]. ~( \: q
  if (grain-ahead > best-amount)
$ ~: S; G6 R, C0 F5 T    [ set best-direction 270
, g! V2 D+ K0 p3 {3 Z      set best-amount grain-ahead ]2 }: h# p* V; x; z1 }; m
  set heading best-direction0 g& q( H, \, O/ O' ?0 @/ D, j
end1 d' J. r& H3 l% ]9 |9 i
3 j0 U5 S$ w; o+ o/ N

4 _' U$ }; J' c1 U4 b4 Hto-report grain-ahead  
6 l1 n# L$ q  o# o9 W  let total 0" j' j' O2 ^2 @/ s7 C8 ~; a% D
  let how-far 1
  ?- p0 Z( }4 x  repeat vision& R8 ^% u6 P+ H; @
    [ set total total + [grain-here] of patch-ahead how-far! `1 O) ~% k8 F. X& ?" M3 N
      set how-far how-far + 1 ]
" q  N3 [8 B+ ?2 m7 B3 Q  report total
( a  A& r; c1 d6 ^; u, cend# G* s" w5 `$ T0 H( n* K# z5 W

& S4 R2 s  b' C: x" ^, ito grow-grain
. {# d1 S; {1 D' @4 z' p& F, ]" C0 s  if (grain-here < max-grain-here)2 Z2 `) ]2 e5 b  `: w
    [ set grain-here grain-here + num-grain-grown
1 g4 ]- e8 V  ?2 O5 o6 c. \6 F2 G, t+ V      if (grain-here > max-grain-here)
8 x' \; ~# O! I; ?! w, w        [ set grain-here max-grain-here ]
2 o/ y+ ]& |5 c+ B      recolor-patch ]
# P6 i/ U3 L6 c& E- \, P* w" `end
7 V/ ~+ g+ ^) V* dto harvest
+ B' T7 O/ g- u1 V$ f9 ^  ask turtles
) _5 z. }5 [$ c/ U& q- g8 y    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]3 h8 A0 Q8 Y) v# Z1 n% \
  ask turtles6 L7 r4 s' v( @+ a$ n5 w
    [ set grain-here 0
9 s+ `( V* q# Y, n2 [. J- \! ^      recolor-patch ]
: m- u! f8 F+ t8 @1 x$ m) m  & ]0 v. Y/ a5 y8 [  S
end3 ^- X6 p# V4 W& }' J! J. [  S

2 x+ c' ^2 v( d; t" rto move-eat-age-die  : W. f- r6 n; P- g* `9 t$ S# X. ~# G
  fd 1
. J  j  _$ Q# T. i3 _) A, X  set wealth (wealth - metabolism)
+ c0 K! c" X5 w6 [& o    set age (age + 1)+ E* I- u9 }5 R/ t9 N% U* R2 Z
  if (age >= life-expectancy), I+ z1 W- ^. C% C% N+ i9 j' A
    [ set-initial-turtle-vars-age ]5 P$ d3 r- Q8 d/ d
  if (wealth < 0)( l! ]! e! z0 b7 h1 ]) A1 C
    [ set-initial-turtle-vars-wealth ]
9 T2 S6 h- l- J4 w& @$ O! T   
) D  m' b. a1 D7 s! V# w' ~end
6 l. |: ~$ n2 s& K) G9 y6 G4 m& i, d
4 }+ ~6 E: }0 f% |0 ?( |" T! r3 M" Y  v; v8 e* @$ p
to setup-plots* x# G% a9 W3 C' s
  set-current-plot "Class Plot"4 k5 o, F$ [; P! {: Y: m7 L; p  t
  set-plot-y-range 0 num-people3 c) b" K+ S& Q& D
  set-current-plot "Class Histogram"1 p8 G+ u$ ]9 |
  set-plot-y-range 0 num-people
* ?; }4 g& Q+ @1 g4 ^! k! `! `( Hend
; K) |$ ?0 m; c/ u- u  y$ {9 n$ A+ i) o& i/ q3 x' v
to update-plots9 g: v3 m# I" V  m1 V6 D% O! b
  update-class-plot
0 G% p% c( y# A! }  update-class-histogram8 y- f" U6 X+ b4 W+ [
  update-lorenz-and-gini-plots
" f! ^4 X& v5 [4 z7 g2 ?end; M. {9 T0 {+ V* J7 E5 {
' O) ]% z' {+ K! x- Q
to update-class-plot
0 u# `/ P6 A8 _) \3 q  M0 n" [0 g  set-current-plot "Class Plot". ?* ]( J) ^# m7 @: n7 E
  set-current-plot-pen "low"' J; ^9 ~; o, ]! n0 \
  plot count turtles with [color = red]
4 J, u5 S6 d: W! X: t  set-current-plot-pen "mid"% _* c3 u0 `) o3 S2 j) V  H/ S
  plot count turtles with [color = yellow]
) o3 O2 f# u, ?! V* a# r: L  set-current-plot-pen "up"
' k7 T8 {  Q9 p- s  plot count turtles with [color = green]
$ B2 M+ a" V( c/ Y2 {3 H& q1 Send' c# Y1 q. h: h' c

2 |$ W. e! \7 h, w* V9 R) uto update-class-histogram" _# J7 C- t! U1 m
  set-current-plot "Class Histogram"
% `; T, y+ F% e  plot-pen-reset3 j/ x3 F( I  R# @9 L
  set-plot-pen-color red. ]( q4 d' z5 v9 r/ b6 `4 c0 x8 X
  plot count turtles with [color = red]
# v# q. f+ @+ v# d) D: {  set-plot-pen-color yellow
2 d) n/ ^7 c# o! z3 J4 `( S  plot count turtles with [color = yellow]
3 B6 U0 Z7 o% }$ e2 b0 m/ ^# ?3 m- N2 ~  set-plot-pen-color green: m/ S6 J) A4 a' x* x; R+ ~3 [
  plot count turtles with [color = green]: p4 N. m# }2 N# j
end
8 Q$ d$ t2 Q/ ?6 Qto update-lorenz-and-gini-plots+ G7 _; [  b7 o" j% W
  set-current-plot "Lorenz Curve"0 a: q3 J+ Z' [4 E
  clear-plot
  z: C7 C- C0 p7 l$ K1 p! `
! H; G- y% O' T" g  set-current-plot-pen "equal"- a  D$ O  T% p, l5 J1 X. E
  plot 0- J* S/ R0 t- l. ~6 q7 S5 x
  plot 100! B2 ^# i2 x: J2 O
0 v( `% }3 \1 z5 i6 Q" g
  set-current-plot-pen "lorenz"
1 S5 {# H3 m7 o* ?: @+ l  set-plot-pen-interval 100 / num-people
3 m  h, d) I- ~9 X9 v7 |. @  plot 0  Y6 w( o2 ~0 U* ^! F+ Y6 }

& y, t* s4 j. t) l4 I  let sorted-wealths sort [wealth] of turtles: P) C7 @4 G8 ?
  let total-wealth sum sorted-wealths$ [, x( d) q4 [) C5 f) U& L' ?
  let wealth-sum-so-far 09 r. j$ m" A3 i1 ?, Y0 s4 ]. j
  let index 03 L" j% }1 M- C0 E
  let gini-index-reserve 04 G4 c* k* [/ r) F9 Y6 h) ?+ k$ I+ J
4 y8 p& G& I) I- H& D+ [
  repeat num-people [
# Q6 I% W" i5 o2 {$ \3 D( h6 N9 V7 J    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)7 D( z) e4 A$ z$ L& T& ?5 l; u4 ~
    plot (wealth-sum-so-far / total-wealth) * 100
" ?7 {0 b3 W/ r/ C, o7 \8 ]; h    set index (index + 1)/ L" e' O+ o+ f% p. z+ G6 S. D
    set gini-index-reserve$ k* x* a! i8 q, i
      gini-index-reserve +" M/ k# k6 x- v; U
      (index / num-people) -
1 d9 M- m- t. ]3 ?( u; q1 s2 u      (wealth-sum-so-far / total-wealth). y9 B. ^0 A8 v2 q5 y; |
  ]  [. n- w' S( ~
* ]3 ?9 {& U; f* E& D4 x) Z: x
  set-current-plot "Gini-Index v. Time"3 ?0 \; R: }0 H! }" @4 T
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
- C+ r- G; m) s) {+ J0 Iend% f& F5 A7 T1 e
to-report area-of-equality-triangle
7 x1 y$ U, h8 x! g7 U* J) D5 H5 t  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)3 A* j6 {, W; N8 L- |+ x2 m# ?5 V
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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