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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& B7 h+ T) X/ s2 P3 ^
globals
# p4 S6 i: o7 T' P; {1 p# y[: }1 S% X' D3 A. J6 g' D
  max-grain    9 I2 U% Y5 C, \# ^4 m

4 Z2 Y) Y1 l" Z0 {]
7 s' m! `0 D" f' H! i4 K7 X/ c4 m
$ M; w2 X& g. T; Qpatches-own
/ k) m3 ]$ t9 l[. t- E  f  X0 c$ j$ M. Z6 x! b
  grain-here      8 V2 N* P. f0 q# o/ X
  max-grain-here  
5 P4 X! w& V3 @* W]
( q( v, T. A) X# }) t+ J, H2 ?: T0 l5 R- }
turtles-own, ?% D3 m7 l4 k
[/ L) ]: y$ ], [' x: g8 P2 w) N
  age              
4 y; \5 }5 V2 e" }: F7 C- C  wealth         . }6 i1 b, h2 C$ U5 ?9 y
  life-expectancy  
$ o1 J, n" l# b' _  metabolism      
  G" t" G- i8 x- W4 f  vision
- x4 [& D9 a' W1 \0 l& Z0 b$ b# d  inherited         
$ Z+ Y& R2 W+ P$ J0 {. a# B' I]
4 {) A5 ?: C6 _- |& Y: [
6 n8 L: F/ ^2 \6 \. s9 {5 B  y" j: |& B2 u" @' z5 p6 L5 t1 e. \
to setup
& h. g# d3 Y; J9 m! J  ca: u( N5 @" o: Z$ ~% {4 V
  set max-grain 500 ~# b9 u( w+ u; o7 ~6 m- L
  setup-patches
! d7 x7 q' r$ S( d' G7 v! V  setup-turtles# A# F9 n% g$ q+ n( ~0 E! U4 L
  setup-plots
; F- H  f: Y9 i1 i  ~  update-plots6 i/ b* K8 r6 t2 G3 X  f) a
end
3 M( t, i) I0 {0 F2 o8 \) @& tto setup-patches) [+ e) W& A, ~1 y& o% W& @  k
  ask patches
1 @) m( m$ s6 z+ w( q    [ set max-grain-here 0( B$ L# b+ c. |- B
      if (random-float 100.0) <= percent-best-land9 n0 N, }3 N4 d6 R+ a7 A
        [ set max-grain-here max-grain) f7 C, f/ h' D! S) s, c( X
          set grain-here max-grain-here ] ]
4 D& o* l# {& l. J" ^  repeat 5
5 i5 T4 H! h& A/ q  ]5 e8 ]    [ ask patches with [max-grain-here != 0]9 ~# x; j3 d: b& |6 E1 L, ~
        [ set grain-here max-grain-here ]
. v& R( X. w% P" F; S2 J      diffuse grain-here 0.5 ]
3 `% H+ A4 a+ r1 K& X  repeat 10
8 u# ~" K. H, C0 u7 |) I* i2 Z    [ diffuse grain-here 0.5]         
- f! u' N& l/ ]+ I' f1 K7 k5 |  ask patches; I4 e" F7 E# {, b
    [ set grain-here floor grain-here    ' [( H* _4 x; H" x4 j
      set max-grain-here grain-here      ! a$ x) j8 X+ b( H4 Q3 k2 ~
      recolor-patch ]
3 @, E7 S1 W  C0 L0 jend/ T' _4 M5 j. R1 b" @' ?
to recolor-patch  % ~) ?  m0 b: H# `% D- K
  set pcolor scale-color sky grain-here 0 max-grain! }; r1 D) ]5 K6 t1 {
end
/ R- J2 b& R! [to setup-turtles
  ?9 x" Z5 V! P- `9 c% U8 C# J  set-default-shape turtles "person"
% r5 f8 v2 K1 G+ r' D2 r  crt num-people
/ [2 H+ \# f6 Z/ h0 Y3 U9 Q" j    [ move-to one-of patches  
3 X# J3 R/ Q4 c0 l8 ?$ O4 u8 X- U      set size 1.5  
" j% @  b5 g4 s& [      set-initial-turtle-vars-age+ ]9 d  l/ S5 L* x
      set-initial-turtle-vars-wealth: v% Q* X9 v$ `3 v$ S* Z% c9 U4 ]
      set age random life-expectancy ]; r4 a! S$ c! F* o
  recolor-turtles
8 X% s2 o$ m* b6 b% d  wend- R- j  d: X3 i* T; y

, g7 N9 f: S8 c# d" [7 S2 F& C: Xto set-initial-turtle-vars-age1 y. e. w( s2 G  B( ]# p: G4 d
let max-wealth max [wealth] of turtles
" O. a1 [6 D0 D/ x) n5 _    8 T2 _' y$ q3 M4 v& h0 D8 M& i
     ifelse (wealth <= max-wealth / 3)
4 Q  L* C: q/ q$ d        [ set color red 5 \$ N7 e! I, }' ~# q# u# E
          set age 0  ?8 Q' b& d/ h2 C: f- l2 j: ?6 y
          face one-of neighbors4
# e, X0 ^6 N. X/ \. ^          set life-expectancy life-expectancy-min ++ F9 M! N9 K9 b' Y
                        random life-expectancy-max ) Z2 X% ^( m6 A8 Q% L, G/ j/ s5 z2 C
          set metabolism random 1 + metabolism-low
% ~, t* P% j7 H7 _          set wealth metabolism + random 302 G6 o6 {1 c% C6 U) h6 M
          set vision 1 + random max-vision
/ y7 ^6 V1 N% y+ i8 n- C             set wealth  wealth +  Wealth-inherited-low ]# [% T6 `  c# O. t) {* L9 |2 ?
        [ ifelse (wealth <= (max-wealth * 2 / 3))! j' E8 e7 q6 {8 U; I% J
            [ set color yellow 7 w8 V0 y$ y- D
              set age 06 k6 u; f, M1 l  q; A3 b
              face one-of neighbors4 ( |+ i- y# Z" A9 P4 A1 X# C0 Y
              set life-expectancy life-expectancy-min +" r5 J! [) P" B2 v
                        random life-expectancy-max + 1& e  [$ X% n+ C% Z+ A1 \  b. |
              set metabolism  1 + random metabolism-mid; J7 o! g$ C& Q. G6 g, A
              set wealth metabolism + random 30/ s3 X5 k5 }9 M0 r, Q0 P9 Q5 n! p4 T
              set vision 3 + random max-vision
. h, t: L5 j9 N1 ^" @$ Q0 j                set wealth  wealth + Wealth-inherited-mid]
5 [6 o9 W6 _' }, T5 b            [ set color green
& s* J, ~+ ^& }9 i              set age 0
0 z8 x4 a) C! g$ y% N              face one-of neighbors4
$ T. O! K$ c3 `9 u5 ?* ~" X; Z              set life-expectancy life-expectancy-min +) N/ I3 v% k" T7 j
                        random life-expectancy-max  + 2( y& d9 g7 R* t2 ], `
              set metabolism 2 + random metabolism-up
9 K. D1 Z) B, H              set wealth metabolism + random 30
; V" s! ], K: ~! N/ F$ t              set vision 3 + random max-vision9 q4 l9 R! `  H
              set wealth  wealth + Wealth-inherited-up ] ]
- i0 B4 m* Y* d! a
2 ^% l# P  n5 P7 {2 _end$ U* c3 U8 _: P4 h; h' |
to set-initial-turtle-vars-wealth
% f5 z; {: K, s3 I) U. _7 x let max-wealth max [wealth] of turtles/ Q$ d* I, c$ W: R& g7 |
          set age 05 F1 t3 v9 [1 R! S1 Q
          face one-of neighbors4
8 ?) K0 o* `- O2 g! _          set life-expectancy life-expectancy-min +' u+ }9 i$ A( X; o
                        random life-expectancy-max ( a' O6 A( Z; n: `
          set metabolism 1 + random metabolism-up
. J' Y8 C- ?: p; H; Y  n          set wealth metabolism + random 30
' y6 G8 j" Z! b; A& w          set vision 1 + random max-vision - n) K6 n  [4 U- @8 P1 Q
end
  M( f2 l$ }9 g) F4 mto redistribution. _0 W& x0 z1 u! [1 q
let max-wealth max [wealth] of turtles. g8 c  w. p0 w: ~+ l0 T, `
let min-wealth min [wealth] of turtles
' \+ j) |# Z8 p% xif (wealth <= max-wealth / 3)
7 k& R3 n. E* h- ^ [set wealth  wealth + Low-income-protection ]+ |# U8 o6 I$ Q7 S
end7 T5 W* ]9 {/ c
         
  `4 P7 S7 O( Yto recolor-turtles2 y% w& Q4 o. G' \. x- z
  let max-wealth max [wealth] of turtles
, K: E4 m3 z4 i* I8 ?- Z  \  ask turtles
/ |3 S( e1 s: g5 K   [ ifelse (wealth <= max-wealth / 3)
& j, z! E: g$ Z: t+ p        [ set color red ]
, p# x2 D1 ~9 V2 y$ |: U) @        [ ifelse (wealth <= (max-wealth * 2 / 3))
+ R/ I; S& F0 R  N0 ~+ q7 u            [ set color yellow ]( J! L5 Y, x/ a0 U4 w
            [ set color green ] ] ]
" E9 `4 A% R6 {4 d9 K ask turtles [ifelse show-wealth?
# o' }" }' G- y, a0 b1 G& |6 Y    [ set label wealth ]
1 z5 Y" l. d! u5 {! o$ g1 n% x  i    [ set label "" ]]
0 Y0 Z8 o8 u! f0 Send
) _0 d& v6 v' j% N  P  x
0 q8 ^$ \) P# {  A5 `to go( o: L0 x0 |' }% l* F# k* c' V
  ask turtles: A6 @5 E5 a2 A# }
    [ turn-towards-grain ]  
3 b3 v5 N5 p3 x: T  harvest
8 {/ u" A- `3 \2 y1 w  ask turtles) {) b& F$ J4 E, X2 J
    [ move-eat-age-die ]6 }1 y1 q! c/ X% a8 f! _# ?
  recolor-turtles
' r8 ?$ X+ H) v# Y1 C3 x  if ticks mod grain-growth-interval = 0
' N; z- V; \  |  r8 P    [ ask patches [ grow-grain ] ]1 |+ ~, }8 U4 p( c7 R+ `
   
7 s( N* G' r' F7 P4 v  if ticks mod 11 = 0
* f9 x$ G: Q1 u: U1 u  [ask turtles
9 M7 ~3 p( u% V  [ redistribution ]]* B: a6 P( l2 L( _7 P
  if ticks mod 5 = 0
& [  Z% s$ a6 E* u; w/ ]   [ask turtles! X& Y- n& Y% o6 E3 x
  [ visions ]]' n  Y/ k, g: o0 H- U- v; B; o4 U( F
  tick
: J& v2 N! h/ |" m* i1 z1 j9 o8 m  update-plots
+ u. y, g/ B! X! Z% H4 _  j; `, o: Dend
5 s$ c: X* n1 P0 dto visions
7 K  m; u7 e9 u% R! u8 A5 U set vision vision + 1 1 _7 ^/ ^' P# D' e% G+ [3 Z
end. @$ c0 }4 q% Z3 S' v
, H/ Q: ?9 W! b
4 P/ Y& H% ~. G, v7 r0 C+ R

9 R, t* [9 k( }# \. ^1 q  Bto turn-towards-grain  % W' v" @% w: d) ~4 K3 D2 w
  set heading 04 b, m) G. X2 R) j5 x! R
  let best-direction 0
; `' T- ^3 r7 D3 B: |  let best-amount grain-ahead
* V4 J" C  z9 F) w5 ?  set heading 905 x& w- Q9 q' u" }3 @. p
  if (grain-ahead > best-amount)) i9 ~+ k' G9 j7 U6 Y+ Y2 C
    [ set best-direction 90" q/ w3 |) N; L9 i5 h* O& z
      set best-amount grain-ahead ]
$ C: i. }5 l! o3 F  set heading 1804 w' H3 l. {0 P+ c' ]
  if (grain-ahead > best-amount)
9 w  E. Z. e( L4 f: O    [ set best-direction 180' }+ g  ]0 J$ P
      set best-amount grain-ahead ]/ E" w3 K7 @, b0 b6 w$ F
  set heading 270' E4 A) E, f% ~: x6 @3 t5 h
  if (grain-ahead > best-amount)
8 z; Y% ~6 @0 k0 Y5 B+ H    [ set best-direction 2703 b! f* N( \  z9 L% H5 [
      set best-amount grain-ahead ]
. h2 J  W7 b; l! g8 F) t  set heading best-direction2 o7 B/ y1 Q6 q# g8 H. \/ K
end
! f; k% g# E7 ?
3 f/ k! X7 l5 K$ C! U
1 v& W7 h. V  \% n" ito-report grain-ahead  
& Y0 n9 V& [% F, y  let total 01 z6 G7 e. a0 E8 o* J5 L
  let how-far 1
1 Y# u) ^+ r3 T: k0 y, G  H) L0 S4 t  repeat vision
9 g) ~, m+ q8 v8 A2 o6 k0 O6 b7 K    [ set total total + [grain-here] of patch-ahead how-far& c, O# g' z2 K$ I2 Y7 f5 j' u
      set how-far how-far + 1 ]- ?0 m7 g3 \9 ~
  report total
8 H( G, y& U8 Nend
) k) P' H3 u0 ~: ^1 b. l9 `6 n4 J1 I% x
to grow-grain
- j; i9 B0 J; P! E+ B+ t9 h  if (grain-here < max-grain-here)
" \9 @! f4 U! F8 }+ U! Q    [ set grain-here grain-here + num-grain-grown
' V8 {+ _% @, z& |1 G9 g2 @      if (grain-here > max-grain-here)
9 M( ]5 ?% V% v+ H1 {2 h9 [; g  g        [ set grain-here max-grain-here ]
2 l2 v1 i' h+ e! U. F      recolor-patch ]" s! P8 b- y' Z2 w
end
7 a( k& \% u4 mto harvest
# B& L: @5 s! Q4 ~$ v: J  ask turtles
: n# |" {% u& ?  q+ ~2 K+ F+ X    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]$ E: V, R& N- A6 t; O
  ask turtles+ w5 \/ g/ [3 \+ w4 q3 L
    [ set grain-here 0
0 @! l$ p6 O; a- ?0 s5 y      recolor-patch ]6 f6 j* D* Y" s/ L, z
  " ]4 ^/ g! j! e' s& X$ w0 |
end8 ^. i; q) ], @; Z( P# A; R1 R! m

  R2 D5 j; C) q! Y! zto move-eat-age-die  
) r! [5 s) O2 x0 R) K3 o- a" `: A  fd 1  h5 o* [, }9 w
  set wealth (wealth - metabolism)
! V* {$ n( x) B! Q1 x; Z: o    set age (age + 1)8 ]& Q4 c# r( j6 Z
  if (age >= life-expectancy)% ~# T+ g* O  W1 N* Q  e
    [ set-initial-turtle-vars-age ]9 N3 G# M: ?( G& A+ s8 b
  if (wealth < 0)7 w+ b7 G( N$ K# d" L7 k
    [ set-initial-turtle-vars-wealth ]; {* g3 @  ?! j' f2 R
   
4 }! c6 h& q2 `  W  d1 Gend% U# D, q- q4 V0 L

. f( S2 [2 ^4 f' ^! x. L! W7 I, S/ Y* [5 F+ a; s& c. |1 n
to setup-plots2 o5 b) f3 o2 O( C5 }0 T0 c
  set-current-plot "Class Plot"6 e/ `& n9 i7 M% o% t: e
  set-plot-y-range 0 num-people
* B7 a/ p6 _) j+ f6 u  set-current-plot "Class Histogram"5 H  H/ c" Y- }7 Z0 \/ d
  set-plot-y-range 0 num-people
0 h- q$ e6 W, `  `& v& e1 F6 Oend
) v/ O" J# g, a  @1 n. n
( O* D2 O+ H6 ?to update-plots
- z; _7 X0 Q* ~( x* q. _  update-class-plot
# n" w* A7 a. a  l& `4 d* P, w' j  update-class-histogram9 i- h3 E  k) z; L9 t; B3 ~
  update-lorenz-and-gini-plots
) Q0 F% V6 c' @end3 l' [# k$ M. r5 h
& ]8 u6 [* I4 F1 j* z# b  v
to update-class-plot9 N" u; h. [. [4 t
  set-current-plot "Class Plot"1 L& D  I! J" v& J  O8 p- _
  set-current-plot-pen "low"
5 @; Z7 @: U! B& D$ |4 p  plot count turtles with [color = red]9 ^: r5 ?9 f$ _1 D4 U, R. L# P1 _
  set-current-plot-pen "mid"2 [* b0 ?2 Z" Z4 ^" Y
  plot count turtles with [color = yellow], Y+ C+ q1 q+ D# t1 S* @- W: s- P
  set-current-plot-pen "up"
" k6 R. ^# o" W2 _  plot count turtles with [color = green]0 Q% b* V2 @3 L! }. z$ k* d
end
' J- S( W) |) ~3 R! \* U8 c, b0 E3 N( d. d4 b% U
to update-class-histogram* K5 D$ z6 J& m0 g1 c. X
  set-current-plot "Class Histogram"
8 a- _, _3 T; n4 o  plot-pen-reset
( D+ o- D! L% C9 l/ b5 ^  set-plot-pen-color red! p- Y) z; L# m
  plot count turtles with [color = red]
! c2 n: a  b2 ^+ d  set-plot-pen-color yellow; X; B. l* z, D( b# f+ l
  plot count turtles with [color = yellow]3 A; y0 s6 C# w
  set-plot-pen-color green
0 \/ ?* }  Q, a5 e9 s  plot count turtles with [color = green]* n3 f1 ~: D5 o/ M' B2 V9 N
end3 a# S/ [4 r, Y- C
to update-lorenz-and-gini-plots" i( H) `, `! J$ {2 x
  set-current-plot "Lorenz Curve"' i' b9 {0 J. C" o
  clear-plot
0 z( y+ ?: P; u, t1 Y3 ~: _* |: F7 K% \6 @/ A1 t
  set-current-plot-pen "equal"
8 X6 U3 h; J& n8 x" J& S  plot 0. `( O9 }& [  ?7 q7 Y
  plot 100
' q: M; C9 U1 q# V. I9 M  x) j7 ^
2 [* a9 r4 }/ p+ ]1 F  set-current-plot-pen "lorenz"
' T' ?4 m+ H5 g. N  set-plot-pen-interval 100 / num-people
2 c+ K" W2 ?& Z( K8 G& k  plot 0/ T1 \+ f+ U% B0 _

6 z# T; V" [3 V  let sorted-wealths sort [wealth] of turtles7 }0 C2 l8 w: B7 E
  let total-wealth sum sorted-wealths; X+ \( x' W2 ]2 T& C; j& E8 p
  let wealth-sum-so-far 0& x" B4 R5 f2 |: ?7 T! ?
  let index 0" v2 N6 O/ l  N! P, _$ p
  let gini-index-reserve 0
5 t7 Z. L8 g/ p8 U
8 ^( k/ Z- s5 L  repeat num-people [
# j4 A8 ~! Y$ o  j! Y  t) d# B% S    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)- F) f: [; Z- C
    plot (wealth-sum-so-far / total-wealth) * 100
- D6 Q( e" H$ o! y1 e: U9 h    set index (index + 1)' v1 r# N, g# h' S7 t' m; y1 V
    set gini-index-reserve
. Y. [0 k) a: `* A1 ~4 c      gini-index-reserve +: k, g9 n! H; h5 @1 V; }
      (index / num-people) -
. ~! N" T6 v7 |) J      (wealth-sum-so-far / total-wealth)
2 U6 v: m+ U+ O3 ?' G7 G3 f, q9 F2 ?  ]6 Y: i5 H1 V- i0 ^8 W5 E( d3 |' t

! d; L, V1 A+ D5 ?" w1 V  set-current-plot "Gini-Index v. Time"+ w+ O  i* a! U( B" ~. J  `  a6 n
  plot (gini-index-reserve / num-people) / area-of-equality-triangle8 k4 }- p* E9 Z( |; d* f" z
end: d, ^5 N' M. j% B3 T
to-report area-of-equality-triangle/ t1 m8 |% u+ N& W( J: z
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
1 A/ m8 S7 C& hend
 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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