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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
) {; y3 G2 j- `0 oglobals
( n% V( r; e5 l1 s[3 K* B+ u1 L$ }. t: w* v
  max-grain   
2 A! t3 Z5 R$ Z8 ?& {4 ^2 L2 g3 Z4 g: U8 ]; l& d" i' \
]
" x, _- K/ R- }2 p
7 w9 E" \" ^$ M/ K/ y5 z9 apatches-own
* ~. v& m' j  e1 t' G[' K" U; N6 d1 V
  grain-here      
: j3 f. d# G* s& Y' z+ C7 a7 j$ p' @  max-grain-here  $ R9 i* }* [# x- t/ y2 D
]1 O- D0 e* J: r1 n9 k
+ ~6 i6 ?0 y/ T
turtles-own8 A- i4 G4 j$ I/ s/ g
[
8 N. _; P1 ]$ {% I, g$ c* O8 d  age              - |5 S6 j1 X- r3 O
  wealth         
: r+ ]$ l2 R; J+ N  life-expectancy  
, F9 `. V( ]2 b( d8 g( A  metabolism       8 ~' W- x7 q9 }/ T9 \9 \7 g
  vision; i/ R! s5 o7 j/ L! K9 U6 ]
  inherited         * b2 X" g4 [, K8 Q0 T: P
]/ l7 w1 Z, v: v; T3 h5 u

1 l* _% u( W. C9 e
, B+ p0 }8 S: h1 N0 P% d: x9 fto setup
. {" y& }. J+ d( s8 {( i- I& e' s  ca: m! s! W$ f! z3 Z! R
  set max-grain 507 S) G( U  K% G; U) x# m, [
  setup-patches
2 H% d" s. p7 {# O  setup-turtles
% _+ l3 q' |) K8 k  setup-plots
8 u5 @) U8 G+ \( V9 X  update-plots9 k! b- u5 u  A# e, ~
end& e! B6 A% s* s0 Q: v9 m6 I
to setup-patches
# ]/ e- _2 i( [3 C1 p( f  ask patches% l; ^; [9 N. B: K
    [ set max-grain-here 02 Q0 [: I. i. k5 r+ c
      if (random-float 100.0) <= percent-best-land6 e* l& a- o" @" T2 p6 t  E
        [ set max-grain-here max-grain
) D, I' U" N5 `& T& {. o4 a          set grain-here max-grain-here ] ]# J! @! Y6 `- Z3 `
  repeat 5; u7 O2 y- C  b  V) w; l, B
    [ ask patches with [max-grain-here != 0]. f8 W, L% G9 o. {; @
        [ set grain-here max-grain-here ]
- T" l+ ]2 ^) E- r3 Q      diffuse grain-here 0.5 ]
! q7 o& o% k6 l3 t% N( h1 N4 P  repeat 10- I/ g+ I; i) o0 U3 g$ l/ j) P
    [ diffuse grain-here 0.5]         
2 {! q7 h' f" u7 o/ {  ask patches9 K1 U* V- M$ B! t$ G7 O$ V
    [ set grain-here floor grain-here    2 p2 Q0 Y. N% q+ L/ Z" f. B; L
      set max-grain-here grain-here      1 @% ?6 r+ }" I( k, I- s
      recolor-patch ]" n$ J/ g7 b  r; v: j
end
. Y; R* O0 I+ v/ J: ?to recolor-patch  ) ^3 Q6 M7 P, Y  u' b3 m
  set pcolor scale-color sky grain-here 0 max-grain
" v: [; c: @/ F$ g$ k" @. yend4 H$ E9 t5 G1 x1 e- P- Q& a
to setup-turtles* l7 E) f$ _" Z
  set-default-shape turtles "person"
+ v/ l! R' H$ ]  e  crt num-people
- B/ L+ j" P( m) }    [ move-to one-of patches  - y3 C& `6 r: p
      set size 1.5  3 ]) p- c0 F- f
      set-initial-turtle-vars-age
# S& |5 y# h9 _6 Y7 K      set-initial-turtle-vars-wealth1 v" `8 k+ |$ t6 T1 }, R' e
      set age random life-expectancy ]+ E( x5 z- h8 i; c: V
  recolor-turtles
; |) e; j3 u* U  X0 N3 R& i# }end
6 H, T* O2 f2 e! {: m1 m
& p  ^- ?3 _, |' T: L- P# Fto set-initial-turtle-vars-age
1 B7 i7 L* M$ L5 k: b' e1 l let max-wealth max [wealth] of turtles
7 K) E) x3 x% |" R   
% g  E% f1 g) y* J% I6 n$ @! v/ v     ifelse (wealth <= max-wealth / 3)* g, Y7 e" A5 [; [* k5 S: N
        [ set color red + E, @9 D. D  o3 E# ^) m! c
          set age 0
9 d2 t3 k) j2 O7 d( d+ i          face one-of neighbors4 . Z" p2 O7 r* A1 s
          set life-expectancy life-expectancy-min +
1 s& `2 g7 E% }7 L- j                        random life-expectancy-max " Z. K0 M/ d" [3 Y- X
          set metabolism random 1 + metabolism-low
; C0 n+ b! P' t5 O: X9 Y, e          set wealth metabolism + random 30
6 u( A3 g! D' G) V6 e          set vision 1 + random max-vision# q( A* a# F# `
             set wealth  wealth +  Wealth-inherited-low ]$ ]. {! |7 l, M8 E2 {+ T( I
        [ ifelse (wealth <= (max-wealth * 2 / 3))6 l' V) B) f# w- j$ |+ v+ }/ c1 n  B
            [ set color yellow . \; S" q$ L/ O1 Y$ Y
              set age 0
3 H+ f# B: g$ F  V1 U6 }              face one-of neighbors4
+ G: v: L5 q' g5 h9 G% T: _5 Y              set life-expectancy life-expectancy-min +
& x# R5 ?5 @  j% }% p; ?                        random life-expectancy-max + 1
# g8 D( k7 ~* h. I5 s. l3 l              set metabolism  1 + random metabolism-mid1 x" I$ }! p6 b6 m
              set wealth metabolism + random 302 r. u* ]4 K( _
              set vision 3 + random max-vision
' _3 N: `, t2 W' p+ _5 b                set wealth  wealth + Wealth-inherited-mid]
% S- O" g* w. k  r& @# E4 z' W& x            [ set color green ; @& u2 \! l6 b. F+ R  D7 f
              set age 0
4 X/ g. w  `# [* S5 C! f- k- m              face one-of neighbors4 2 x3 t" d+ z9 T: W  J2 M" R/ D( p) U
              set life-expectancy life-expectancy-min +
% Y* P  H0 c/ k, p                        random life-expectancy-max  + 2
! c- b5 Q& R6 x% I0 c# F; L' ]0 e              set metabolism 2 + random metabolism-up5 \; ?  c2 J* P* L
              set wealth metabolism + random 30/ s$ z8 t' j% C0 Q
              set vision 3 + random max-vision# Q+ m  \6 [4 S, [& y
              set wealth  wealth + Wealth-inherited-up ] ] ) D" M0 q0 C0 h4 K

3 q" m; ~8 C, M$ N/ send8 {) e% q& S. w- c1 m) Q8 W- ]! a
to set-initial-turtle-vars-wealth
* g3 c( j' Q6 M, f! M7 H let max-wealth max [wealth] of turtles1 M; [8 |& q1 O0 u* Z6 T7 D
          set age 0# @8 @7 F( R6 a8 `: d
          face one-of neighbors4 $ r8 Q$ R" A' p5 B( c7 C/ s- E$ X
          set life-expectancy life-expectancy-min +7 w# M) \8 s. n( e# X
                        random life-expectancy-max 7 T$ {. m- C% D- K; A
          set metabolism 1 + random metabolism-up% m9 k$ F% s+ N  j' w, Q$ g
          set wealth metabolism + random 30
6 i- }" q: A8 K% `1 e. x9 Z9 y          set vision 1 + random max-vision
" \2 P/ e4 ~3 z, u' \9 n  }end
5 m/ h8 x5 M9 }to redistribution( D+ y0 d& Y  ]3 Z) y* V6 }. D
let max-wealth max [wealth] of turtles; w7 x9 b9 V  `- D
let min-wealth min [wealth] of turtles; v: Y% G& k4 |: v# @
if (wealth <= max-wealth / 3); g! C# R( R2 i" E  Q3 k. K
[set wealth  wealth + Low-income-protection ]8 x- V; S5 K9 U1 N1 x  V' i
end, ~# v0 ^5 r2 v0 C8 M
          2 M2 ~9 U5 x1 _$ C3 f& E
to recolor-turtles
8 v- c3 @2 }5 [# J( J  let max-wealth max [wealth] of turtles
7 y1 \, @$ \( N% Y$ O% ^1 D+ V8 Y  ask turtles# R. ]" w2 W+ t5 X" V. z
   [ ifelse (wealth <= max-wealth / 3)" z; t8 C2 ~) j& h2 ]( W' E5 W( Z
        [ set color red ]- n; u  A* f6 R/ N6 D
        [ ifelse (wealth <= (max-wealth * 2 / 3))0 \, m8 o, i1 Y  r* `) N
            [ set color yellow ]
0 K6 i8 f/ k  ^; K+ S            [ set color green ] ] ]2 k( D$ D. H& r6 b8 p
ask turtles [ifelse show-wealth?
/ r+ t8 Z( x7 X    [ set label wealth ]0 ]: P! `5 ?3 f
    [ set label "" ]]; A( D7 {, v! U/ u) e. h
end$ d! e1 G8 Q4 I2 R( _2 S

6 \" Q/ l" w6 s$ `to go" n9 @  b, j8 O
  ask turtles) V* W" h+ X5 C( K" G, {- s
    [ turn-towards-grain ]  - f$ U) ]( c2 N
  harvest
6 C$ a* _/ D! L% \, J  ask turtles- \0 S8 h; E; f: Z" {% p  b
    [ move-eat-age-die ]+ ?" m8 {7 H' r& G
  recolor-turtles
0 G! Q, O" b, ^. i+ i7 a: Q7 E  if ticks mod grain-growth-interval = 0; f4 Y$ F; x# J* c0 Y* W$ m
    [ ask patches [ grow-grain ] ]
/ E. ]1 t' y- c* L   $ M( f) I# }+ i3 N* O: z* C5 y5 ?' U
  if ticks mod 11 = 0
# {' [8 |% M5 {7 U9 r7 T4 L9 G  [ask turtles
2 e# z: E, ^( d+ G  [ redistribution ]]. ^8 P+ m% \5 {: |' Y& w
  if ticks mod 5 = 0
) g) M( u9 p( h  G. I   [ask turtles/ F1 ~' @  N- ], _* F! }) r  f$ l1 N
  [ visions ]], Z9 W7 u" S! q  o/ r- i
  tick
1 S( R, `+ S, N* t2 X5 d0 P  update-plots4 ^1 A6 ~9 \, x  h2 o
end8 |/ T) ?/ |# a9 C1 Y- N7 O
to visions: F: s* M% I1 n. @
set vision vision + 1 $ p) {5 |" G: L( W! X
end
1 w$ ~; t' D$ u& t# ]8 h, l+ I$ K8 z5 N, a
3 L; E  X7 j1 E4 g/ s# V/ k

# y0 }, w2 K& |" G( n! u' yto turn-towards-grain  
% i2 S2 ]+ Z* _  set heading 09 ]6 w- _/ q9 T
  let best-direction 0
. z! G+ `4 A# u% \0 ]  let best-amount grain-ahead
) ?0 ~( [' `2 z; i0 U, S" U  set heading 90
- D9 R2 W! [* ?4 y) i5 V8 f' C  if (grain-ahead > best-amount)) t# I8 z4 e8 _0 N$ b
    [ set best-direction 905 S" P8 |' I" Y+ }% L! N
      set best-amount grain-ahead ]
+ ?0 \- K( g1 {% F1 l  set heading 180
' u; }7 ^* R2 t  if (grain-ahead > best-amount): u9 w* [2 V6 e6 Q
    [ set best-direction 180
5 A( f( B8 C& h5 f5 y      set best-amount grain-ahead ]
0 m, s2 x2 V1 p. @# ?, U6 X  set heading 2707 i5 i  F, @9 o" G7 g
  if (grain-ahead > best-amount)
9 B5 K/ M  p* L. t- d/ D" e    [ set best-direction 2708 Q9 e7 @7 u! C
      set best-amount grain-ahead ]1 Y. B4 `8 d& o! z$ S( o1 }5 j
  set heading best-direction# [, H/ g, o" C3 W
end) v. T2 y9 f: t1 d/ ]
) `9 X0 U$ f( @

7 E, T( h7 O+ d: N( gto-report grain-ahead  ! y: V$ h: A: x1 T- g8 ~$ B$ i& s( |
  let total 0- ^' A8 |5 A. i
  let how-far 19 G% Q* c- G' A* Q! |
  repeat vision
3 m" v/ g; o. P- v' R/ h+ `! h/ A: E    [ set total total + [grain-here] of patch-ahead how-far
; g" Y4 W8 H% c' b3 @! t  ?4 [      set how-far how-far + 1 ]
& e3 ]$ }& J( g8 c0 k  report total
  g& Q$ ~& L/ p1 J* Q! V: Uend' H) B7 P/ ^) k; [0 S8 b8 x
, j! P% w" E; T0 r
to grow-grain 7 J1 o0 e( x; L' L- E
  if (grain-here < max-grain-here)
/ n' _0 b3 k2 x4 e5 t/ {    [ set grain-here grain-here + num-grain-grown
5 A" z2 ?8 A- U1 b      if (grain-here > max-grain-here)
& p- r+ V! K; H8 i1 c        [ set grain-here max-grain-here ]
0 z" p5 o4 K" K! P1 V4 r. b      recolor-patch ]
( M' a  n6 d1 Wend+ r# R/ q4 p# V( x* ]
to harvest6 z+ a- `7 U+ u& w
  ask turtles
4 \- v7 @' X/ s# j1 {$ K- M    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]5 A8 b9 O9 F$ Z- m
  ask turtles
: p& n! w' X8 O1 D! X/ u" b& f    [ set grain-here 0# S. R' ~0 r& B8 U
      recolor-patch ]8 A0 Y5 K! R6 K9 M* [
  
; ~& k: n# ^' b# K8 e, ~: W+ ^end
! W+ m6 Q  Y8 i, e# v' B
& q7 m, n5 ]( N9 U3 @to move-eat-age-die  
3 [/ H" m' V9 K  fd 1- ^) t0 i5 r3 x) \' V) V
  set wealth (wealth - metabolism)
. v. d- [0 b6 w0 T7 ?. O7 c    set age (age + 1)
: K  f2 S7 |/ Y" ~  if (age >= life-expectancy)& S) B# G3 B. w$ D) I, Y$ W
    [ set-initial-turtle-vars-age ]
2 z  C' \# [0 W, R  if (wealth < 0)! r/ M2 z( S+ D0 ?+ v/ P( b; L
    [ set-initial-turtle-vars-wealth ]
( b  O5 j( r7 R. v6 E4 O    + U; [0 q- S7 W% @) R
end
' h! O, ^5 F0 p6 C' _8 @9 H8 P
& y+ x& F' ^# w/ u0 b  j$ e; v4 ?* [
to setup-plots
* N% K! C8 u, l2 D0 t/ z  set-current-plot "Class Plot"
: w$ N* P# o5 r  set-plot-y-range 0 num-people: q. @* O) W( Q! i) a
  set-current-plot "Class Histogram"
: ^; W+ F8 ]! N  set-plot-y-range 0 num-people
- Z$ o8 m6 }: J/ P2 cend- g7 Q8 g, e3 s2 a  U, Q
' `2 f+ Q+ k/ O: i1 O
to update-plots+ q( K6 [6 d5 [$ e/ \. K
  update-class-plot
9 V2 M+ o3 C3 O  ~9 w  E2 c  update-class-histogram
* w& T  o* S# j3 O: X  update-lorenz-and-gini-plots! _( G* K1 i, i: U/ v$ W  _& k# \: s
end7 [; v5 g2 Q7 c1 w6 K9 Q

5 o, Q2 H& E8 kto update-class-plot
- _; Z: |, s& T% A" M2 A( D  set-current-plot "Class Plot"/ `- o( I; x" W% }1 n1 E
  set-current-plot-pen "low"
3 r$ ~# L+ n' Z4 y8 U+ z  plot count turtles with [color = red]9 Q9 }, @7 P, S( n: ]9 h
  set-current-plot-pen "mid") F+ v' [2 Z! I3 p+ y
  plot count turtles with [color = yellow]+ s  F5 J* E8 a# N" t7 A
  set-current-plot-pen "up"
2 [) P/ D- Y) n& J0 }3 |3 @$ F  plot count turtles with [color = green]* ]- a* j' }" ~; p. [4 H/ J
end- ^" G( L% d/ C# K4 `% R6 s
4 m' K" M5 a/ {* S) A
to update-class-histogram9 s/ o& X/ @6 z. T
  set-current-plot "Class Histogram"
& B8 ?# P- Z6 n; R  plot-pen-reset
. p5 T" ^% y: I% x  H3 y  set-plot-pen-color red
' @" a( g' `$ U  J& y8 d  plot count turtles with [color = red]
; r* M3 l6 a( E4 b( q  set-plot-pen-color yellow
# o9 V3 x. X* E: ?  plot count turtles with [color = yellow]7 H# x/ ^( \% F9 A4 O8 n; C; M3 R
  set-plot-pen-color green3 \; e! m0 h$ o) ^
  plot count turtles with [color = green]' V' j1 q. }$ V, u
end5 h$ c8 J. h7 e8 t9 D/ h. i
to update-lorenz-and-gini-plots: G4 {9 P  B+ X! F6 H" l" Q; n
  set-current-plot "Lorenz Curve"
* r$ n) Y0 a. [! t6 Q  clear-plot
* l' k. l/ m& n$ V. V% B3 k4 C+ V( @
$ i& h% d- K+ q. m! |- w5 h0 a  set-current-plot-pen "equal"& M. j3 h6 A& p6 h" r
  plot 0
9 v0 _: L9 K9 }$ N$ j3 o  plot 100
# ^) Q0 j1 s# L  `
) {& Z" u6 T& h. \7 U- P# j  set-current-plot-pen "lorenz"& O7 ?0 N8 A2 z8 M5 e/ x
  set-plot-pen-interval 100 / num-people2 w; e9 I8 p8 B1 q* i
  plot 0
& z5 G' V1 O  K5 _1 f, x3 V; q" O6 y% M3 [# b) J2 B8 {5 D
  let sorted-wealths sort [wealth] of turtles
7 e/ z* x- [, B& E  let total-wealth sum sorted-wealths
7 Z$ S8 S4 }! d) D) g  let wealth-sum-so-far 0" y6 s# h' z7 |0 o/ l& F
  let index 0
: L; m& X7 [# p: V1 m; o, t  let gini-index-reserve 0
; K+ N# \) x7 M5 w: n& A7 T9 ?* n, V( O, t& t3 n8 R2 j
  repeat num-people [' i# U  f* e6 u. d7 ^6 N, Q
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)+ f' w( G! F7 [5 U0 _4 T
    plot (wealth-sum-so-far / total-wealth) * 100
- [) _/ `( u+ |' L8 t& s    set index (index + 1)
# }1 X& l' K; d8 K- Y& l4 L( m6 _2 x    set gini-index-reserve/ i9 k, b, [7 e) q5 p+ H9 Y
      gini-index-reserve +
1 z7 X& \" q/ g      (index / num-people) -  ?- `" X+ t. W. a' L
      (wealth-sum-so-far / total-wealth)* L, y* c% G1 ]' R1 t& [  L
  ]
* W+ ]' ]3 ~; K5 E2 n% s9 }$ Z) l, V
" I/ [& m) p7 R. s1 ~1 p  set-current-plot "Gini-Index v. Time"& w/ e$ W# c1 z* Z! T2 @+ n
  plot (gini-index-reserve / num-people) / area-of-equality-triangle( P  g% s5 a! Q0 Q* K( A
end
5 `8 y" A% \" G7 Y2 Z& Z  ?) N8 w* Y7 Fto-report area-of-equality-triangle
2 z4 ~! g2 S8 |& N; S* r  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)( E% n6 C; `! G
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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