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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! q4 _" c  V: D. n/ P
globals' j4 }$ }8 P/ S0 D; M6 @& ]
[
: Q! [! U4 D, U$ P1 X2 ^; L  max-grain   
9 h% a7 C' V) ^" ?2 S: L! m, X4 D( v; t& W
]
3 R& s/ _$ d7 }+ r6 a" `: n& r
+ x) }7 {! W) F4 g3 wpatches-own& c& x- D9 ?9 H( ^+ w
[, c8 \( U7 u+ b/ @! a1 ]
  grain-here      & q7 o# K  h$ F
  max-grain-here    [! r8 a" f  l: ]
]
  h& V  q; [% c2 |: y, V; C$ U
0 K* L/ \" W$ L) h* \' s+ X, jturtles-own
1 @, |% R8 }& ~; Y) G" o[
4 i6 P- N5 l  N9 ?  age              
" a3 I/ ^! e8 Q9 D4 J2 G  I/ ?  wealth         
) g, Y. Z3 ?& k9 t2 P5 d  H  life-expectancy  9 Z6 D3 c# ~" g$ j4 _5 i
  metabolism      
( i5 Q" ]/ k6 P  G; U, n  vision
: E# l& D/ R1 c5 ^  c  inherited         . Q% D' G+ e3 S; c5 k
]" ?8 }4 j  c% u1 j- M

' l0 x3 U& l2 O$ {; _! g3 K- a, J1 u8 r: ]0 f! T
to setup9 O4 K, p% y1 i* {
  ca: W2 ]1 ]. i! G
  set max-grain 50
) u& n1 E3 U9 G( {/ D$ V( q4 G  setup-patches
- |- Q) V4 f4 n' ]4 j) N) J  setup-turtles
/ B! Q7 P; q& {$ X! @6 Z  setup-plots3 g" l) e+ }1 R( _- G; {! H) ]! U
  update-plots
& b" o9 P) _5 G9 ]end) y/ l: S9 s7 {: x
to setup-patches
, `: K& Q7 W, }( T  ask patches
( k% m) |3 {' B0 ^/ `    [ set max-grain-here 0
/ l6 J% |4 K5 ^' n( J( o) _7 E      if (random-float 100.0) <= percent-best-land3 k6 K# h/ x1 b; p5 f0 `: @
        [ set max-grain-here max-grain
. H2 a1 U( H7 v& w, I* ~$ e          set grain-here max-grain-here ] ]
3 t) m5 Z) {( q% d7 s  repeat 5
4 \$ K: V* z$ B- o+ ?" E    [ ask patches with [max-grain-here != 0]
5 N$ z6 _7 W: X$ [        [ set grain-here max-grain-here ]8 i1 N2 d4 s8 z
      diffuse grain-here 0.5 ]
/ N* [9 Y$ c9 V, z# h$ C; l  repeat 10
# z1 H! `% @' T3 b) [    [ diffuse grain-here 0.5]         
' r! N6 n$ G' h3 O5 j$ j  ask patches9 r( f! A; l' W$ h' |
    [ set grain-here floor grain-here   
* A# u3 c& a) l. ]+ Q/ `0 Z  R8 H      set max-grain-here grain-here      1 e9 C) B* L$ E3 r5 P
      recolor-patch ]
3 _* F& X9 ~5 |$ V3 B. {% p& o8 wend5 v% P/ \( C) p% R6 [, Z7 N$ X
to recolor-patch  ' f! S8 Q' ]4 D% h2 {9 e! A& Q
  set pcolor scale-color sky grain-here 0 max-grain5 J6 N7 e  `5 H. x1 `* @4 ~
end$ `0 ]6 x9 v/ ^( r, r0 z, l6 R& g
to setup-turtles3 w. H# }/ ]" c0 E
  set-default-shape turtles "person"
7 K; j" S7 g4 t! D  crt num-people
( Y& `* M5 B6 Y2 @    [ move-to one-of patches  
8 i7 b7 ]- O0 V+ S/ s      set size 1.5  
7 j) t8 C- r8 d0 m( h      set-initial-turtle-vars-age
$ |" o; }  L1 Y$ ^! t      set-initial-turtle-vars-wealth
. m7 j. P# a" \; ~      set age random life-expectancy ]
- n. \) J, m6 o$ H( {3 n$ B  recolor-turtles
( n/ J! l9 P3 a3 d+ G1 `end
) q) y1 V5 k4 N& c0 ?
* [7 y; ?5 x1 `2 L7 f4 F3 \+ {, \to set-initial-turtle-vars-age
: p1 M6 [5 ^8 ~7 ^. G7 t let max-wealth max [wealth] of turtles; K! d$ X5 r3 u; x
    8 z/ b) d5 F% A; m' A
     ifelse (wealth <= max-wealth / 3)% g0 t: ]( p0 a$ r  O
        [ set color red
" q! F$ i2 z) m. J6 F          set age 0
# @3 U! u$ Y: k/ {          face one-of neighbors4   h2 a/ y5 n4 \. q9 L; J; o4 K/ [
          set life-expectancy life-expectancy-min +
5 t! @: R+ |* T0 \$ H: i% `6 t                        random life-expectancy-max 9 r, A: c. X4 [
          set metabolism random 1 + metabolism-low! R0 Z6 L+ \& K/ ?. L, f
          set wealth metabolism + random 30
, }4 [9 s6 c+ i' P# W          set vision 1 + random max-vision( N  r5 i8 a% o  @- k/ I" L# h+ s5 A
             set wealth  wealth +  Wealth-inherited-low ]& }, F$ S1 Y) q
        [ ifelse (wealth <= (max-wealth * 2 / 3))$ S0 J% ?* j3 Z3 @! ]4 U
            [ set color yellow
# D& B# G2 e5 i4 B  B) u5 J% k              set age 00 _0 @+ I* k% |: @! O* m3 R. l
              face one-of neighbors4 0 i9 H$ M  o. Z6 f1 C* Z, ]
              set life-expectancy life-expectancy-min +7 h! g$ j4 X% L! O% Y4 P+ X0 d3 G+ o
                        random life-expectancy-max + 1
  ^( _. e8 n& ]+ K- ^, @/ E: G              set metabolism  1 + random metabolism-mid5 r: z- u/ V/ j; t
              set wealth metabolism + random 30
( ]2 H* s( \8 Q% E5 W; S8 \              set vision 3 + random max-vision
! j* ]0 _  Z1 d% v0 b. j) u                set wealth  wealth + Wealth-inherited-mid]( A6 a% |& Z. M' l( Y: V5 C
            [ set color green
( l& f1 O/ V* t* V              set age 0
! r$ O4 q+ R5 }" m0 M* k1 W$ D              face one-of neighbors4 - l) @( e. a; @6 |& Y3 @! H) x
              set life-expectancy life-expectancy-min +) Z  y% }) C6 P, l9 {7 c1 j2 Z* Z
                        random life-expectancy-max  + 2; T8 O* B' [* o" u+ U+ t
              set metabolism 2 + random metabolism-up
# d6 a! G6 \# W2 {6 ]              set wealth metabolism + random 30
8 A+ Y6 V5 B4 ^) X0 p" p              set vision 3 + random max-vision
: P3 V: J) ^; X+ p8 G$ l# q              set wealth  wealth + Wealth-inherited-up ] ] 7 d: t7 R. t" L& S7 \0 W/ E+ y

' p- H, V5 C; @1 W2 P, mend4 y9 k* t1 O1 b8 ]- P
to set-initial-turtle-vars-wealth
: W3 f( k: f: w* e' f let max-wealth max [wealth] of turtles
& H, D# D6 u. \, j  Y: j# B( ~          set age 0, D  ^; q) k5 T0 A. [# [' D5 D! r
          face one-of neighbors4 " V* q; R' \8 P/ X0 `- |, b
          set life-expectancy life-expectancy-min +$ f0 A' _- D! ?+ G. [6 U
                        random life-expectancy-max 6 O% L7 j% \. v0 ?& [; w
          set metabolism 1 + random metabolism-up1 f. x" i; `2 S3 R& w! a2 |
          set wealth metabolism + random 30
6 y1 s) t" f. L8 F( Q          set vision 1 + random max-vision
, z/ f0 j; O9 Q3 pend
% U0 w3 @, A" S  }2 V& ]to redistribution! l1 W$ e& s8 u: W; p
let max-wealth max [wealth] of turtles; j8 S5 ]% g1 Z7 s9 W* w
let min-wealth min [wealth] of turtles' \( t8 f; L( V" G
if (wealth <= max-wealth / 3): {7 R2 c8 w: Z. W  f) x1 s
[set wealth  wealth + Low-income-protection ]
7 D' W$ Q5 W/ _end
2 L3 e( j' \: P          4 V5 U/ V; W0 H  M. D0 h* b
to recolor-turtles( _9 ~/ A5 P! Q( j* y+ t
  let max-wealth max [wealth] of turtles
8 s" o  n( ~9 G. `* j& O  ask turtles
+ T9 i) c5 d! w" Z1 M: j   [ ifelse (wealth <= max-wealth / 3)9 i# O7 \7 q8 q* ?, d! c" R
        [ set color red ]
. f, w  n* J2 U0 \- o        [ ifelse (wealth <= (max-wealth * 2 / 3))+ y  i  j9 W& S' j) a
            [ set color yellow ]
& E1 f5 `; T5 M- E0 i            [ set color green ] ] ]
( l9 i. T9 P! }2 X3 W8 H" b" u ask turtles [ifelse show-wealth?  D8 C1 o* a% O, B0 h4 _
    [ set label wealth ]
& D/ G% n* g. l' H; X5 W1 i    [ set label "" ]]( X; Q* ]5 J) G
end
& U- d' r) `) l
$ A* ~" k+ m1 }- C0 u  ato go
/ f5 H* v0 k5 ]: ?1 N% X  ask turtles: s& J, e! F# {5 r$ _. h+ L9 V' l
    [ turn-towards-grain ]  * n( D* T, [' U
  harvest
: I5 B% h$ C( Q  ask turtles
2 x1 d9 p9 B2 @& z" \    [ move-eat-age-die ]
: u7 X8 q# I0 n- A' p  recolor-turtles
' T1 V6 Y4 h7 M  if ticks mod grain-growth-interval = 0
. Z9 h$ I9 t3 C& h% y' L# ]" j    [ ask patches [ grow-grain ] ]
' o5 ~! F' T- f4 h   
! b3 y6 g/ ^. x6 m! C9 t) ?7 G( [  if ticks mod 11 = 0
  }/ I, \/ q. w  [ask turtles/ B* U2 f/ ~- x6 l
  [ redistribution ]]5 q  a, l1 M" C! c; X: ?9 |! s4 }
  if ticks mod 5 = 0
, @3 E. r' u2 J+ z   [ask turtles
  r1 l% \- H! X  [ visions ]]
8 B. g8 z0 P3 t  tick5 @2 p& K8 y! l' x* I" m, d
  update-plots7 O) i+ M& n* s4 D" R
end
. K4 x8 s  a- C/ G: K, d5 Q% K; a: C. pto visions
- D& U# k% E2 O; S set vision vision + 1
' {2 R. U% r2 b8 ]' O* Mend9 H4 ]0 _$ ]( Y/ o$ ]2 h
& V# X% Q4 R) K

; b* M0 C$ x  U
5 h, Y5 I0 P# l8 Kto turn-towards-grain  
6 Q9 k$ e  n6 `1 J9 z$ I/ G' @8 }, T  set heading 0
: E, P+ R0 j9 ^* g$ D$ D, o3 @3 y  let best-direction 0' o" z7 |2 H9 j8 D; G
  let best-amount grain-ahead
( {; d0 n$ V/ l, P# |4 F  set heading 903 B; D$ U5 }( r  F7 i5 g
  if (grain-ahead > best-amount)" q% R$ s. c  z- Q" L3 V# L5 C
    [ set best-direction 90
' g# Z" `4 R) i; `4 z- {; I7 H      set best-amount grain-ahead ]8 ~0 z! ^' t  R# C  L  I7 W* N' c
  set heading 180
) H( }, r8 ^( H) e  if (grain-ahead > best-amount)
+ i/ W( m5 Y; u7 T/ }    [ set best-direction 180
5 a. u0 ]( Z& \. i, s! k* ~! g      set best-amount grain-ahead ]
% L/ A0 z& L4 M3 u; \8 U  set heading 270
# T$ B" t. y9 B5 w; L  if (grain-ahead > best-amount)6 l: t$ T2 Q0 [0 w% D' A( k
    [ set best-direction 270, \( ]$ J; r8 M% `5 V
      set best-amount grain-ahead ]
# D6 |, u( g  r9 {: q" z  set heading best-direction
7 r8 D# g: x! y$ Q- fend
& L" K% l% p- p5 j. r# F2 y7 P  e/ c
$ E5 c7 d: m$ d0 L) y
to-report grain-ahead  ; U7 {4 H# m0 @0 }! z3 W
  let total 0' t2 @& E) e; {, A3 h
  let how-far 1
" [) J% {* g# Z% x- o' P" H# z8 g  repeat vision  S$ y/ T( y* F# D
    [ set total total + [grain-here] of patch-ahead how-far0 z  T; c0 C, W( N3 g  I% _
      set how-far how-far + 1 ]! \' |0 u4 d7 X+ F( A* Z* b
  report total
# r- ~; \0 b! t1 \4 Q) `2 Z0 M4 k) Hend: H, T9 x6 e6 @

7 l  O) G0 B' G  A2 u% u2 X0 Q# Rto grow-grain
0 E3 S# F/ N9 }3 x  if (grain-here < max-grain-here), N7 l( X  F" M& x* q$ w8 k. ?
    [ set grain-here grain-here + num-grain-grown) f. T. g3 O6 g
      if (grain-here > max-grain-here)
# n+ g( i' O- S- Y& K0 r! g7 E        [ set grain-here max-grain-here ]- f8 B# k' i/ Q
      recolor-patch ]" E% X* r- r6 i
end- T( T  Z$ X, N5 [9 ]: S
to harvest
9 j8 r( ]# X2 N* A1 S8 {  ask turtles4 u0 ?9 r% A# x* w9 O2 F9 |# J
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]# e7 m- ]3 w' E
  ask turtles
0 h' Q+ M* K+ H# ]2 o    [ set grain-here 0; G0 g: ~7 ?1 ]4 \$ }
      recolor-patch ]9 t4 e+ Q- W6 j7 ~) J8 s1 z, U
  2 U5 j3 ]8 a( O% R, Y# M2 {
end
  Y0 ~" q  i  P9 b0 W& s- E7 u8 A0 {0 h  r  d* g0 t# K
to move-eat-age-die  ; T5 _# I! P  t* d1 L7 P1 J
  fd 1
( B+ Q$ m4 Z: ]7 x3 u. m  set wealth (wealth - metabolism)
- P  F, i1 I& p8 m" `- u    set age (age + 1)
6 q6 `2 n# |* S6 W) T8 F4 F' `  if (age >= life-expectancy)0 j) D* X0 U. }& h7 w
    [ set-initial-turtle-vars-age ]0 S# Z4 d# {- n0 _$ i2 }- M% c0 b
  if (wealth < 0); v# d4 m- B: ^
    [ set-initial-turtle-vars-wealth ]
' F8 I; u4 k: Z    + g2 k1 _! s4 V; x- [
end) a  z+ v5 |: n0 D+ r
( N) v: S$ F! d5 P" B) b. \

4 c2 j, |- l! uto setup-plots3 u6 L6 ?) T. `$ z& ]9 L
  set-current-plot "Class Plot"
8 E+ L8 j9 q. Z! ]; S! S9 @. R  set-plot-y-range 0 num-people% D+ b9 d3 [" A3 W- k
  set-current-plot "Class Histogram"
, F; Q1 k' }3 a/ n: f; V  set-plot-y-range 0 num-people6 t9 U& U. m) ]
end
9 A# w& c* }" ~) @
* Q4 N2 c' c" ], hto update-plots
& a# Q, @# L6 R! n* K  update-class-plot
9 v, E* g, b0 P2 M4 Q  update-class-histogram
8 ]6 Q8 L# n# w( m4 Y  update-lorenz-and-gini-plots
& S/ X$ c8 Y  L% G; u1 Bend
! N' [8 _2 X+ {% c
. X2 c0 r8 X4 n" u  Pto update-class-plot+ Y5 H5 \7 n' T3 K' N% s! ^" X. N, W
  set-current-plot "Class Plot"/ P( D; b; a/ ~$ q3 H: I! e
  set-current-plot-pen "low"/ s6 P: d- ]) I: ~& m4 T
  plot count turtles with [color = red]4 J+ J# V, Z: g6 R- R& `5 h7 K
  set-current-plot-pen "mid"
2 s0 C& j* t8 }$ p  plot count turtles with [color = yellow]
! Z+ R% K- B' [" d  set-current-plot-pen "up"
. G) x5 h( T# ~( b) T  plot count turtles with [color = green]
! u1 Q% L, G- P1 Tend4 R& @0 T6 d6 }1 G% g7 x( Z" G

7 B2 V! f% M! eto update-class-histogram, c% @# x, {7 J" w2 H# k4 y' O/ q
  set-current-plot "Class Histogram"
3 V# u/ J+ K6 S& A- b  plot-pen-reset
3 w9 C, l0 q( V3 R  set-plot-pen-color red
( G! E& m- ?  X3 x  plot count turtles with [color = red]+ `% F4 `9 b; Q2 F8 s5 [
  set-plot-pen-color yellow* d0 u1 x+ t3 @! Y
  plot count turtles with [color = yellow]
1 s0 r* N+ R. g0 ~1 k  set-plot-pen-color green1 Y7 M( J; p7 `) H& u
  plot count turtles with [color = green]
" n) s* K' s) ]; l! M  G; k1 {( F; uend% A9 G$ N* v" p5 b1 ?5 u; v
to update-lorenz-and-gini-plots* A( V0 p% u  p( W3 w8 v+ p/ E7 s
  set-current-plot "Lorenz Curve"
. w: P: T$ l3 Q+ I1 L  clear-plot
2 Q2 ?; \- c1 o# Q; {* M4 [6 x9 j5 F
  set-current-plot-pen "equal"
2 r# S0 }4 q8 V% h8 j9 G  plot 0. o8 B+ z! X7 h; b
  plot 1008 Y; d8 ], t$ x5 p# _; d3 ]4 x
" R% R# E. D$ e5 Y6 f& p
  set-current-plot-pen "lorenz"$ Y; h, T% J- o2 c1 d
  set-plot-pen-interval 100 / num-people3 B) y9 X$ {! |# X& ?( t2 x) r
  plot 0
/ Q% k) q& Y1 `: l
' N" ~* _( V. U, k  let sorted-wealths sort [wealth] of turtles) `, m9 }4 O7 N1 a3 D5 T6 L- ~
  let total-wealth sum sorted-wealths4 B+ I- U1 c) e# H
  let wealth-sum-so-far 03 M* x$ W; ]4 k/ F  z% A
  let index 0
8 }$ F: {5 r/ ?& w; Z3 w( h  let gini-index-reserve 0+ ~' |8 r; G, u8 O7 c5 J
  s2 S# J8 e6 ^" w) z
  repeat num-people [
! D" @0 h* z$ U! i* X/ f4 B' R    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
( k% C8 A& I- j& P: V. D( m    plot (wealth-sum-so-far / total-wealth) * 100
5 ^0 ^7 t: N8 C% b8 K    set index (index + 1)
5 Y# P) P. l8 f, Q, }    set gini-index-reserve$ R1 {3 a( L( s
      gini-index-reserve +1 y8 P( r/ c6 p- {4 a( S
      (index / num-people) -7 |" s8 A5 [1 b. J: _
      (wealth-sum-so-far / total-wealth)( S0 z; G. n& U4 ?3 s6 q
  ]
7 `$ U" D7 ~+ G0 k& t/ Z) y
/ w2 E. M7 i" y9 W9 ~  set-current-plot "Gini-Index v. Time"8 ?" f3 W& c2 @) M+ y# a$ |" j
  plot (gini-index-reserve / num-people) / area-of-equality-triangle# q/ ?* b, ?. S7 l) {6 ]
end
* c7 w1 R! f8 B5 W0 m+ c/ N% Ato-report area-of-equality-triangle/ d$ ~% U: Q& ~. _; Z
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
: u- Z% R3 E" u; v4 ]/ V! J5 K8 dend
 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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