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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" S) h( a* ]' r' P! a* F
globals9 T' H5 f- E; V: [
[
# g/ B* S/ i/ j( `  max-grain   
2 Y, Y" g# b- e. L+ a- A3 A( v1 _4 k$ h; r3 f/ ]
]
4 c0 T! N) z2 z+ g1 k) \. v: h% L
patches-own6 d. d9 _& }7 A6 O# N" e6 P) |2 b1 H
[2 A2 P6 H8 L/ E/ k7 a7 B* e: m
  grain-here      3 H' i8 Z! Q( c; M  ]
  max-grain-here  
4 Q' i* c5 @$ p3 A* ?! t]+ {: {& e; E) X4 U
) D0 R& s! @7 L* v
turtles-own
) k: v8 O- x& K% E; V[( F7 R1 j4 k+ p2 j+ R( d
  age              
4 X: Q4 j+ ?* O/ q% A' R' u# E4 f7 Q  wealth         
+ g( T: o7 _4 x# [  life-expectancy  
' \* T) d9 R; E- ~  @  metabolism       6 j9 i! B) V7 Q( D: a7 f9 ^" D) i
  vision7 w# V& r& k. P; b
  inherited         
1 T  c* ^6 a$ @- S( |* S]( [" t7 G- U* F

3 [+ k; R  s- i( w2 T
1 {9 W9 v' z1 X: i% Ato setup4 j# n1 X/ D2 |* z3 m
  ca
9 |8 o2 c* L$ S! _: Q2 i  set max-grain 50
/ ~; b" K: }- N0 i1 w  setup-patches
; t/ @+ S( I* e7 C6 |  setup-turtles
* x, X0 L; Y# @1 v/ ]  setup-plots4 d, h& P) J+ p  p# e
  update-plots6 X" ?& s: S$ ^; z! ?& M
end
5 J/ o  ~: @/ [to setup-patches
/ S# f6 A9 q( x" M1 H* S  ask patches* s) S" v) C5 ~" d- D6 f
    [ set max-grain-here 0
% ~3 g, i7 M0 P9 b6 w+ Q      if (random-float 100.0) <= percent-best-land4 \. Y8 y* k# y* T+ Y1 |, b0 D
        [ set max-grain-here max-grain/ {% c) a" \& H' Y5 E$ f( _
          set grain-here max-grain-here ] ]7 |1 s, z% ^9 k2 _8 W8 m4 U+ x
  repeat 5
% w% h6 n: B. ^4 o6 G    [ ask patches with [max-grain-here != 0]' B4 M- S& y. w8 }1 ?9 B* M1 ]
        [ set grain-here max-grain-here ]
  a8 I( o8 z8 d1 i      diffuse grain-here 0.5 ]
! s" P: j8 Q) |3 e4 `. ~  repeat 10
& i' X# I7 W& T. t    [ diffuse grain-here 0.5]         
- L# Q0 U$ V7 H- S$ l1 S' l  ask patches
3 q6 f, O1 n0 w, }, c    [ set grain-here floor grain-here    : j! t- o/ J7 R: d1 B
      set max-grain-here grain-here      ; r* d! j' x2 l: o- J
      recolor-patch ]
4 o7 d  v' k% P/ I3 U/ [end6 J' k) Z9 R3 j$ J% @/ v3 n# S
to recolor-patch  
1 Z% a/ r# F. E+ [* g  set pcolor scale-color sky grain-here 0 max-grain, x! s: L( o# U! X, @  A
end  W" j+ ]3 e4 `
to setup-turtles
3 N/ K; n8 x2 L& b) S, _  set-default-shape turtles "person"
) F( X; ]5 ?2 C1 U  crt num-people- b4 G1 |; X0 h
    [ move-to one-of patches  
& H0 c4 L; y) w; W, R9 W& Q      set size 1.5  + Z$ w# [  U' r
      set-initial-turtle-vars-age
8 m: g) z- k1 E  D% B) `& e      set-initial-turtle-vars-wealth
3 g) s* P* ]* I$ [# J1 [4 p% l/ X      set age random life-expectancy ]
6 o9 g# {7 l! C: |7 i  ^+ @  recolor-turtles
1 ]4 G0 y8 L- ]/ nend
1 {3 l' u& B1 }1 s  \/ \6 h' m) j- v7 l  A+ g
to set-initial-turtle-vars-age
" e; I& C8 z9 `4 c1 l let max-wealth max [wealth] of turtles% y. @5 u/ B+ |9 C' p
    2 q5 B& Y% z' g7 J7 U7 g* p, Z
     ifelse (wealth <= max-wealth / 3)( Z# s! x; |5 H3 C  {
        [ set color red
, A4 ]9 S4 r- d" Z1 Z8 F# r          set age 04 u- f# x1 N1 f8 s# u8 W3 b1 V
          face one-of neighbors4
( v: ~& o6 _; ?9 C$ B! W          set life-expectancy life-expectancy-min +
5 U0 H, t3 E  X+ [% F  j; I                        random life-expectancy-max
/ K" n; ]% W" |& k4 F# m' ~7 s# s; j          set metabolism random 1 + metabolism-low
- L) N$ s& `5 p$ t; b          set wealth metabolism + random 308 o' N: x, k3 A: }
          set vision 1 + random max-vision/ h' _. X9 H8 Z+ a
             set wealth  wealth +  Wealth-inherited-low ]
0 U5 }( Y0 b6 r- r1 x7 i& Z        [ ifelse (wealth <= (max-wealth * 2 / 3))/ r$ h0 v. o# B8 b$ Y
            [ set color yellow ; t- ]  _3 ?& w$ k' Q8 d1 w$ e
              set age 0) s) S1 J/ o; ]% f
              face one-of neighbors4
# p" ?( i4 T: X/ D              set life-expectancy life-expectancy-min +% V* k7 ]' C" {" D" F
                        random life-expectancy-max + 17 ?  ^# w8 H0 F. U3 G: W7 @+ ^8 l
              set metabolism  1 + random metabolism-mid
; A2 ~4 ^1 M+ v, N' d              set wealth metabolism + random 30* w, o1 c  [' s
              set vision 3 + random max-vision6 ?* n: j6 I6 j* O5 o% p
                set wealth  wealth + Wealth-inherited-mid]
" P6 `% _8 Y( R1 \# c6 {1 A2 y3 y            [ set color green : ]% c1 M) i4 K1 B5 `3 h8 C
              set age 09 M" R% D! V2 w, m
              face one-of neighbors4
3 F. T5 n: E& C2 [4 e              set life-expectancy life-expectancy-min +
& Q4 c4 t, R9 n                        random life-expectancy-max  + 2
0 p; M! n2 C6 N, Y; z5 [              set metabolism 2 + random metabolism-up
+ u: [' W! [8 C0 F  l! p: J* k( w( w: X              set wealth metabolism + random 30# X; E; h7 X2 e1 `  @/ Y) H
              set vision 3 + random max-vision
+ f/ A# M. q4 u              set wealth  wealth + Wealth-inherited-up ] ] - I: \+ ~7 E! j* }& u

, V. K, m) M" v$ e" J* Hend
  A1 V5 \, L  Pto set-initial-turtle-vars-wealth
5 J* I$ f$ M+ L: X" n+ p5 G- Q let max-wealth max [wealth] of turtles$ e4 y0 {  |! c$ K
          set age 0( f( M! B/ H% H1 d$ o4 B1 {
          face one-of neighbors4 2 R$ q$ C( c. @$ l. f) ?' ?
          set life-expectancy life-expectancy-min +2 {6 |4 Q( @! ~+ b
                        random life-expectancy-max ' s6 ]! t# e$ P: l# A! `, J3 J0 U
          set metabolism 1 + random metabolism-up/ K: ~' k' j( ]% b1 _. g
          set wealth metabolism + random 30+ v# `( ~! K3 R' I# q
          set vision 1 + random max-vision ' f' M$ K! s  ?; }) F& I
end3 X) ]2 J4 o0 Z: ?+ g1 g
to redistribution6 z( o3 W& j; C' B) v: v! n
let max-wealth max [wealth] of turtles
8 ^& V  O. u6 k4 F( S% N; R! j+ mlet min-wealth min [wealth] of turtles6 i3 \) Z. T, J" Q) f  J, c
if (wealth <= max-wealth / 3)
2 z1 o/ O% H7 p, U. d" a [set wealth  wealth + Low-income-protection ]% A' G: ]9 @6 Y' G8 b3 P
end1 r, R/ R% o- }! n% K$ J
          ) F! ?7 {$ {3 d/ s5 I! \7 o! K
to recolor-turtles
& v9 _9 O4 i; I9 c' l* B1 O  let max-wealth max [wealth] of turtles
# W+ t9 |! J$ A  f; s' |0 K- z  ask turtles% ~; Z( A" h2 l; M9 ?
   [ ifelse (wealth <= max-wealth / 3)
7 m3 G( `, v& y% M        [ set color red ]! P# G; ~; ~% i
        [ ifelse (wealth <= (max-wealth * 2 / 3)), o) m4 i; ~8 Q: _& X& Y& `6 C, \
            [ set color yellow ]
2 d9 t, `# c, S2 S, E3 ^7 t4 k# @            [ set color green ] ] ]1 k& Y& c; {' f( c' {7 I
ask turtles [ifelse show-wealth?
! O. e, Q7 [& ~6 T# m" T2 C    [ set label wealth ]
: q8 `# h' Q& x/ C% d3 k( f    [ set label "" ]]
5 P4 @) O- Y2 P3 }$ \$ O! b: N* Qend
- I: o& {& _4 v% T. O, _" d* N3 M4 u1 K, V6 ]# ?# J
to go5 f" `. S9 l" E+ H- |
  ask turtles9 G* u5 g5 I% X1 g2 y: |$ s' e5 z( h
    [ turn-towards-grain ]  
2 E9 V4 K& e9 R  harvest
/ L# z( X% \/ B. P) c8 N  ask turtles
1 Q8 Y; D  i. O    [ move-eat-age-die ]
& D% C% T) F2 l8 ?- b; v5 d; A  recolor-turtles- S- p' x8 D, l- }
  if ticks mod grain-growth-interval = 0
9 z2 l: ^6 r! ]$ S    [ ask patches [ grow-grain ] ]
% G+ |: D& m4 |5 T) R/ O   
. n. d* s& P( S& ]* H  if ticks mod 11 = 0
3 Z* s2 K4 n3 U6 r! N  [ask turtles
' }  g4 ~0 |. R* E) Y  [ redistribution ]]
8 m* W! G1 c6 a5 R5 T3 v, t; `8 ^0 h  if ticks mod 5 = 0
, K3 w2 O7 J/ e7 \. `   [ask turtles
2 [5 w& N. l( U, p: O- A8 i  [ visions ]]
+ o0 n- ^( o& l; Y; P  tick3 V8 X3 M/ R: _/ h) @! j
  update-plots& o( `  R, t! b8 W4 r; ~
end$ I2 @3 I* r" l6 U2 i7 F; W; t9 d8 p
to visions
2 I  u3 P: H) x set vision vision + 1 2 f# j6 z/ I! |2 ^" Y. i
end
9 e# `6 o' v- x/ i: ?8 G" G; O, m. J5 c
# }* F  I, B# e8 c8 `% y
7 H; D/ o! y; Q1 O! Q4 a% h0 j
to turn-towards-grain  ) N2 Y7 V# C) I: i9 S2 \7 P2 T  \
  set heading 0
; i* r% s. f% A. }% @  let best-direction 0
9 T# f2 |7 d2 t( G& D& q; H  let best-amount grain-ahead+ j/ G. r* v/ ^5 Z- n
  set heading 90
+ ^; `$ p% x0 I' w  if (grain-ahead > best-amount)# q! h( K6 Y% H  s) M
    [ set best-direction 901 e4 ?1 o% B2 q2 _7 g7 U
      set best-amount grain-ahead ]
! |! l! q+ S) A7 I6 y1 |  set heading 180- G; ^% R% W; ^# x
  if (grain-ahead > best-amount)
+ _2 R  R; W8 ~3 M    [ set best-direction 180
/ |( f# @7 |, |6 A# D6 B      set best-amount grain-ahead ]6 Z) ?& l' U) Q0 H* m
  set heading 270' F* ~4 y2 x* a
  if (grain-ahead > best-amount)
8 X* L; O0 @) B; G1 v* v% ?/ o    [ set best-direction 270) q# z' x* E" o, t4 x! o! B
      set best-amount grain-ahead ]4 v5 x9 s- l2 \5 P0 w  N1 N, [# z
  set heading best-direction* _' J' _6 Y: q
end. e+ @5 e4 D' I" }6 l

* J2 K, O/ |0 A. F$ E7 V$ z1 ^' R
) q, X) p$ z& B3 \+ t6 uto-report grain-ahead  
0 d; J  f$ q0 s  let total 0
! H9 U1 X  z7 q9 a9 o" O  let how-far 1. n, F" i8 _/ u$ G2 u( l" T
  repeat vision# d3 y4 Y* J) X- p; B/ g; ~- M' w
    [ set total total + [grain-here] of patch-ahead how-far/ @! b7 W* M6 q3 }
      set how-far how-far + 1 ]8 z9 _+ T6 V4 l* n' [% C
  report total
7 C0 X: U6 x" L; b/ Rend/ u9 y% o2 z( p9 @; Q

; a& s, X9 r2 M) f! e- q3 Z5 C/ rto grow-grain
7 J7 g8 M5 T* \7 D4 m. t  F7 F  if (grain-here < max-grain-here)% R; \# i& l: R3 _0 E  t$ v: p
    [ set grain-here grain-here + num-grain-grown( q* `2 ^) V: f8 p; i0 p% l( q
      if (grain-here > max-grain-here) 9 w+ o8 l% U6 z$ E4 r- r. ?
        [ set grain-here max-grain-here ]7 I$ ?( H9 R& b
      recolor-patch ], ~5 H- r: z# K' t0 x  W/ @
end; L$ ?% U7 H& P* P9 T
to harvest
$ [, |5 Z( b" J3 H' _5 m7 U+ M  ask turtles8 X; x2 [7 Q( k3 U: ^' H
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
/ e0 N7 V; r0 B9 I  ask turtles  \, X2 R: _. ?% }0 N
    [ set grain-here 0
0 a+ y7 c# u) c      recolor-patch ]
' Y3 N% x; s/ r, h  6 \4 M1 g( c5 T
end
$ N2 W' T+ M  L# P) D' D; V
. [/ o% |- C' y, w2 {1 Fto move-eat-age-die  
" Y8 Z; I  ~7 H& R  fd 1' g7 `! m) M7 q  o/ U3 Q
  set wealth (wealth - metabolism)) }8 ], C7 g* D5 R+ l9 n
    set age (age + 1)% D; N: \2 ]* _& o/ X+ i
  if (age >= life-expectancy)
1 @( _: C3 J1 G    [ set-initial-turtle-vars-age ]* i; z1 [  Q: Q2 `/ H5 R1 V* ]
  if (wealth < 0)
! ~* L. I- w/ x2 w% c3 d% {    [ set-initial-turtle-vars-wealth ]
7 V3 ], n0 V& {( ?   
: \0 i( N- _2 g, F+ P# nend
5 m2 j' j' l7 r2 U6 c
( M" S) x( {6 t) _3 J3 r. c9 R; ~# S2 X' T  V
to setup-plots+ ~( N: l- t8 ^: O
  set-current-plot "Class Plot"7 N  U$ j' Y4 |6 |+ M9 l$ s
  set-plot-y-range 0 num-people% G) Z0 l) t+ U4 J4 V8 p
  set-current-plot "Class Histogram"' v# N* k  _7 t3 I" l+ f% H- t
  set-plot-y-range 0 num-people! y) d8 R& {5 l$ p! `5 t7 G2 g
end: A2 i0 j# X& J! z

" W; n9 ]( }* q8 C' C$ lto update-plots
" N8 u$ ?: x0 u7 d4 q  update-class-plot
3 t4 @5 o' |! N0 |$ E2 |7 ^4 E  update-class-histogram
# P0 [1 U& K5 ^/ [, J' l6 }  update-lorenz-and-gini-plots5 w& h. _6 \4 q8 U# `, v  `  w  \
end& p. V. }! H! f  L2 _

! ]9 \8 I: i: a6 ?, Fto update-class-plot1 G( I8 [) b  r3 M' n3 G
  set-current-plot "Class Plot"# K9 Y( H) Q4 y& M- v
  set-current-plot-pen "low"
5 i1 @: \, D! q; E  plot count turtles with [color = red]
: g9 `# I" b) J6 r* M1 w  O  set-current-plot-pen "mid"
% X/ L. M! K- e9 u& D0 }  plot count turtles with [color = yellow]
8 ]$ L4 y5 N" B* A  set-current-plot-pen "up"; O) e1 u! ^! j; a! b1 \5 m0 Z
  plot count turtles with [color = green]
/ o8 D  n3 a  }# h, M1 Kend) E7 o8 Z: v$ |1 p* R7 r) g
( T, E1 p7 i5 E# X+ y' l, `
to update-class-histogram
( ]3 V! O! h% a9 c( K7 }  set-current-plot "Class Histogram"
9 a5 _' v/ o4 k! f8 o  plot-pen-reset
! [# t& ^9 o$ r& ?3 c  set-plot-pen-color red
: _$ s/ w2 W, k/ {  plot count turtles with [color = red]
8 x: r6 i, P, @- i  set-plot-pen-color yellow
* c0 T: N3 t  Z  plot count turtles with [color = yellow]7 P. p1 g7 ]% r+ x
  set-plot-pen-color green
) `0 g0 h3 r, R* z8 ^1 u  h2 c) h  plot count turtles with [color = green]
( ]. o! R; D# ?7 z. _7 D5 D2 u2 n7 iend
2 [! D/ y: ?- ~9 Y, Dto update-lorenz-and-gini-plots1 n) n% r2 P! J, y$ N8 I8 ~
  set-current-plot "Lorenz Curve"! [6 z6 d) f* `4 g2 q: b2 _' X7 r7 [
  clear-plot  m+ a7 G( X( o' Q
$ L( O( k8 |- J0 X- }
  set-current-plot-pen "equal"
# s! k% E, ]0 Z$ G- }( L$ J- u5 ^  plot 0
! v' V% `& E7 d9 K  v: \4 y6 k  plot 100
" Z- g& Y% m9 s1 t4 z3 z+ v: [' w2 C" U- H
  set-current-plot-pen "lorenz"
" H& C8 w0 h- S$ ~3 S0 _  set-plot-pen-interval 100 / num-people/ T( z5 ~% v1 U
  plot 02 h& ^+ O5 K2 d) h9 a8 ^
1 [4 q* C6 \- c1 K6 r- y! u
  let sorted-wealths sort [wealth] of turtles1 ]* N  ]2 z2 u5 l4 g
  let total-wealth sum sorted-wealths
% m9 C$ Q7 \: U& X  let wealth-sum-so-far 0
4 o: f/ i( B. f  Q  let index 0
" W& ~& M' h5 m  let gini-index-reserve 0
9 A1 j: O! f* l8 Y3 @& n8 O, P, {& x
  repeat num-people [
- U+ I/ L" g1 W0 j" o    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
9 m! v0 `; G' I/ A: v9 v) \; U3 M    plot (wealth-sum-so-far / total-wealth) * 100* T" D7 a" Q; e* l: m2 D) Y
    set index (index + 1)9 w" M, ~1 @3 e7 D# ^
    set gini-index-reserve5 t: t* J  f2 j$ l0 x" u$ N
      gini-index-reserve +
6 o) D" N( l& G      (index / num-people) -
4 |. e8 t4 l/ Q- t2 u# l      (wealth-sum-so-far / total-wealth)  J3 [. u* f; T4 h
  ]1 a  W! F# ?1 ~6 Q
% F9 ~: H$ g- c; L7 Z5 D/ c4 c
  set-current-plot "Gini-Index v. Time"
4 K$ a$ r. W- }  plot (gini-index-reserve / num-people) / area-of-equality-triangle2 g3 k0 e" B1 u
end! b! o: o4 D. {* P6 H; ^# c
to-report area-of-equality-triangle( E& V* o  w/ d% d- z& U% D
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)8 v) C  }  [% P2 V! C
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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