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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" Z' h5 b- Z) l! p0 r
globals
5 B  a& S; T- y$ F# K4 }[
9 O& y# y. y$ D) @  max-grain   
* @/ v. [! k* ]/ d* m
! H" z, K5 W+ N( ^]6 p4 E; h+ o. y9 _! G
4 D8 _, s! J4 N5 A) N* Y, b, B
patches-own! n$ S$ Y% |- @, L% l' X
[
: k& M  E0 w7 O+ T! k6 j  grain-here      
9 F, y  \- W- q$ y  max-grain-here  
3 S* X1 N8 B) c# p- J]
$ A; g! L* P  b: m/ Z& v) Q9 d9 O/ M! o/ V
turtles-own
# X& `4 \2 P1 X; C  G[
: I6 M& r7 Q; l; Z7 `  age              
' A" C/ z: q( S* {1 Y* G7 ~0 s4 @  wealth         : j$ I9 K8 F# @
  life-expectancy  $ p% a$ p* w5 C1 ]# F
  metabolism      
$ ~- Z" [6 l( R8 v0 @* j' c  vision
, G6 b: u3 G! `) ]5 d! Q. E" Q  inherited         * p4 k* O: O4 S- X' P4 d. ^
]
' t, o, }5 f7 i1 c8 E3 l) }+ _( k  r5 U- d: v# I" f6 G

+ ]! o- ]2 F& w" R, W- X7 F/ `5 bto setup
7 j" \3 f8 N! }& Q  ca
' }& \$ u0 c& q7 B4 i5 s6 G  set max-grain 50
% k  g/ v4 P& W2 g- D& h# z  z, x  setup-patches( }& j; P. y& W4 I) p
  setup-turtles
( }! V, ~0 n( ^8 x  setup-plots- `2 Y  U5 @+ x" W! A; g. v" g$ Y
  update-plots
2 H" O9 B( E; q/ m5 y) ^end
% r  f+ {+ N! oto setup-patches& q& ~, A! S/ J- ^7 `7 z7 {& t
  ask patches
6 y$ W+ V; M+ {+ E0 M+ P; s2 A    [ set max-grain-here 0. v  x, s" P6 M0 l
      if (random-float 100.0) <= percent-best-land
' V' X! n  f0 [        [ set max-grain-here max-grain% s- i! @7 T2 k
          set grain-here max-grain-here ] ]
' y* @$ a3 J4 Z( n  repeat 5
6 d0 R! g) E1 A/ k4 j( Y& e2 Q! E    [ ask patches with [max-grain-here != 0]! N$ e2 {+ c- q" m; p; y* ~
        [ set grain-here max-grain-here ]
# x! B* E3 |( A; K: U  Y' s      diffuse grain-here 0.5 ]
0 A2 K- C) t4 P# k4 D* v  X" W! T# V  repeat 10
) ~8 e! [( n! t* T8 |- V    [ diffuse grain-here 0.5]          + K) }& h" o* b0 x) }" `, t  t8 L
  ask patches
) n; A- G  g3 W    [ set grain-here floor grain-here    / A4 q6 A0 b# i0 @/ g
      set max-grain-here grain-here      
. d8 F( G; N* n% t/ [! b$ O9 p      recolor-patch ]1 [$ x- p3 n4 c. R8 C
end
  Y3 ^; S* T: I: b+ X, h/ W9 H8 Fto recolor-patch  3 g7 c4 {8 V6 d. D
  set pcolor scale-color sky grain-here 0 max-grain- d9 X" Y$ W- n) N: u* B
end
: k- G: l) Y. nto setup-turtles" }8 A8 E# f, c" r* f0 y. F
  set-default-shape turtles "person"  q7 r: Y, U2 g
  crt num-people
4 e* C1 {( F6 F    [ move-to one-of patches  
8 A$ {9 ]4 F3 S0 R      set size 1.5  4 p4 `8 N9 y: |0 \: S. D. @
      set-initial-turtle-vars-age
6 O: W5 U! E: Z1 C5 p      set-initial-turtle-vars-wealth
) s+ V) l  G+ s* N! T+ d6 e$ s      set age random life-expectancy ]5 `/ u/ S6 w9 A( N3 V4 O# k
  recolor-turtles
( ]: \2 p9 \  o% `6 E; fend
2 L3 D6 K' o. ]; H# |6 {& B
3 F3 W. ?. m! L5 U. F8 D; Y) rto set-initial-turtle-vars-age
* G$ k* m  B, R5 V) Z let max-wealth max [wealth] of turtles% x- u2 W1 s" U. f: \6 T3 v1 n9 n
   
' H& Y6 W. s/ s* m. i     ifelse (wealth <= max-wealth / 3)4 P* n" ^/ o) p4 H0 |: q
        [ set color red 2 m# S% Y+ X: m2 @3 j
          set age 0
% j* f/ D2 y! {. L! ?! i6 M2 \* H          face one-of neighbors4 $ ]! a( Y, D& D
          set life-expectancy life-expectancy-min +4 J& W3 u: u" @
                        random life-expectancy-max : `- L& ^3 w5 r+ U" [( A: Y6 x
          set metabolism random 1 + metabolism-low# k: }; c" ]3 B' v% _9 `
          set wealth metabolism + random 30  v" Y2 Z; s3 _# \
          set vision 1 + random max-vision
9 W' r* w( x9 Z) n             set wealth  wealth +  Wealth-inherited-low ]+ ?' U+ N: m3 W& k  m
        [ ifelse (wealth <= (max-wealth * 2 / 3))
: M2 [# x2 m( A& T+ H            [ set color yellow ( e" U+ X3 Y6 E# u; a8 W" @+ \
              set age 0
5 w" E, o+ Y; p              face one-of neighbors4 7 k8 u, n' ^& J9 E/ q
              set life-expectancy life-expectancy-min +
! h9 B$ s+ `, s2 J                        random life-expectancy-max + 1: m3 U( B( ?! p4 k
              set metabolism  1 + random metabolism-mid
- f3 e$ s; f- i. `' J3 f              set wealth metabolism + random 30
6 P# F4 a% X* v+ D! J* m  R              set vision 3 + random max-vision
3 H' @( Y0 a4 k% u* Q                set wealth  wealth + Wealth-inherited-mid]% U* M2 o+ T3 L$ @1 W: O
            [ set color green
+ J/ Z9 p* d" q              set age 04 _7 _* j3 a/ p7 O& l: w
              face one-of neighbors4 2 S8 U8 D7 t2 |- m# n9 v, V; c# m
              set life-expectancy life-expectancy-min +" {+ C! W. ^6 y; R! h6 j
                        random life-expectancy-max  + 2- l# x9 o- k3 X  N6 K
              set metabolism 2 + random metabolism-up
0 X+ a5 K& i4 _              set wealth metabolism + random 30) R8 J: T/ A) i
              set vision 3 + random max-vision. v# h8 n7 |# B
              set wealth  wealth + Wealth-inherited-up ] ]
' d- e* o( G5 c
. S% E4 e! t6 O9 m+ r- Aend' ?2 r# a$ J" k' l2 @/ z* y7 F
to set-initial-turtle-vars-wealth2 r$ U& ~  d/ b7 \" d7 b. H
let max-wealth max [wealth] of turtles
& B5 z- u& r1 Z* y" \( [+ r7 k          set age 0: C' ~4 d  ?1 R1 Q1 O
          face one-of neighbors4
8 S( K1 C8 K4 w2 Z' f. r3 b          set life-expectancy life-expectancy-min +$ h( w1 }6 h* f4 V0 j+ ]1 h1 U
                        random life-expectancy-max
* u& A9 I- ^# z$ v3 w& Z          set metabolism 1 + random metabolism-up
; ~) O2 G7 \1 N' \( R          set wealth metabolism + random 30
1 w  B8 m$ e' X- G; u; k          set vision 1 + random max-vision / f0 V& F; ~. m: u
end
2 Y) e3 f( H; w+ w* R: D' Gto redistribution
' T' f! S4 o, ?1 Ilet max-wealth max [wealth] of turtles) B, m' p" [1 `6 [
let min-wealth min [wealth] of turtles
# U) G. F) M+ Pif (wealth <= max-wealth / 3)
. y" [; H3 x' [+ i2 P+ s6 h. w0 d [set wealth  wealth + Low-income-protection ]; Z  K) Q) W; D9 N4 X3 `9 d! H& M  E
end+ S- W8 F7 i9 Y" F# [
         
9 `# y7 W( x& z% m) i& n* zto recolor-turtles
- b* S: I# b# q- L3 D5 ^) G3 n7 m  let max-wealth max [wealth] of turtles
& t; P: D5 C/ h8 b% e9 h' _# P  ask turtles* D) P( E) n- z
   [ ifelse (wealth <= max-wealth / 3)
5 p8 Y' m* u5 Z' {- J9 s        [ set color red ]9 C: g7 C& F  O/ O$ q6 c' K
        [ ifelse (wealth <= (max-wealth * 2 / 3))2 R- Q: F, C% p
            [ set color yellow ]2 W+ `" E, R, C4 M9 @
            [ set color green ] ] ]
  R3 C( }# ]9 P; @& A ask turtles [ifelse show-wealth?
7 n6 u+ k5 Q! V+ R    [ set label wealth ]
- R) j6 Z* I0 `/ i$ _% w2 }    [ set label "" ]]; ?9 P4 v4 y0 R! }- v, O: _/ s
end& I5 l& u: w4 a0 g) M( e6 T
# u+ F1 z8 O  z+ C- z3 `: a* d
to go
7 c3 l; F' c0 H  ask turtles5 \4 k4 f6 X6 n5 N( Y
    [ turn-towards-grain ]  
+ l4 y. K2 V: I9 r6 ^1 `* i  harvest" [5 w4 w5 y( k" `" q7 C! v
  ask turtles
) }( L: U: _4 |6 ]- j0 E+ g% J    [ move-eat-age-die ]
+ J5 z5 d& D" w5 z( L/ ^  recolor-turtles
0 ]5 q# H2 x4 {  if ticks mod grain-growth-interval = 0
, C. z0 d; y( K- T( q1 O    [ ask patches [ grow-grain ] ]9 X0 C9 H0 \+ |1 p6 q& F
   ; _2 n' ~: F- P7 |
  if ticks mod 11 = 03 D% E* K/ G! ^  m- f- k; _, j! n
  [ask turtles! y1 e  U0 e# l; S
  [ redistribution ]]( |1 P. V  s+ u9 W7 z
  if ticks mod 5 = 0
# j- u% b  I) Y   [ask turtles
: O) r* L6 H! ?) K* a! }  [ visions ]]# F! |: `9 R/ Q( B' s* t
  tick
. l2 q  M! n" n# a. H  update-plots; F% x: j% m1 Y% J
end
; u+ I  K. D+ L( n+ Q3 q0 x9 nto visions
- L. g! K" j$ c( S# x set vision vision + 1
% b4 {2 D6 B1 `- M! R0 \& M1 Nend
6 b5 i/ M: O- L( f& S" q- W7 z- D( J; J8 ^1 v0 P$ i, O) m
7 r) g3 @( F' p8 U, ~4 n
; d$ Q' r4 ?+ y: s0 J
to turn-towards-grain  
! {' ~* d( X( V. e; ?4 V% J. ]- p  set heading 0
& c7 M2 t9 H) p- w  let best-direction 0
& h, B+ u& J7 s/ N5 P  f  let best-amount grain-ahead5 S( b. G3 S3 ^
  set heading 90
9 b% e. S, [0 M# Z6 {! ~. o( M- N6 ?  if (grain-ahead > best-amount)
1 o% k7 {% Q5 V& u2 [4 n6 H2 G" b& b% w    [ set best-direction 90
$ `& ^7 L( r$ [$ j, Y      set best-amount grain-ahead ]  w' P! Q2 s) S5 P
  set heading 180
' o' Z: q& Q2 v3 K6 W  if (grain-ahead > best-amount)
2 b; D8 h7 _3 \' f    [ set best-direction 180
$ Y) e0 G+ W, R1 B      set best-amount grain-ahead ]% h: e% o4 P+ P9 ~
  set heading 270! |! Z/ w9 L; d( [
  if (grain-ahead > best-amount)! T! Y. z* w  ^5 Y! f" U
    [ set best-direction 270
! h* L1 X6 J' `& v7 l      set best-amount grain-ahead ]
9 R" ?* Y# B8 L3 T  set heading best-direction# q! D: E8 m* P" Q6 y' `
end
( N  H; j& @1 F+ D
% M$ v" K9 {. O
9 ?7 y% N6 A3 H- a, \# l1 h, xto-report grain-ahead  * P! R! w6 ?9 H
  let total 0# ]) A: I. z2 [( N( b
  let how-far 1
" _1 `4 K8 N4 b9 G. d! ]  repeat vision' L% v+ f4 o& N1 f
    [ set total total + [grain-here] of patch-ahead how-far
; a3 |  ]+ H$ Y& Z; I      set how-far how-far + 1 ]
( E: P! I9 t4 S/ Z) g: A1 Q# u% W  report total  B7 ]6 U5 l" ?/ N) K; O7 G
end
0 V8 F2 R" O3 @( D7 G, ?" ^
7 e/ w: E+ V- Z( S  E# V2 e( n0 [' Zto grow-grain
& i$ \! I! U: j" ~+ F9 U) L) B  if (grain-here < max-grain-here)
' k/ ?. i" b9 `/ D% k    [ set grain-here grain-here + num-grain-grown# y4 U8 v2 t: _/ E6 o5 L
      if (grain-here > max-grain-here) 2 K: n3 f- \  \  _
        [ set grain-here max-grain-here ]
6 y  D! K2 p2 b% g8 r0 C) N% S% k9 [! B      recolor-patch ]) `1 j1 l3 F7 X+ h
end
  g% d2 O4 Q( rto harvest# ]  i& b- m3 y& T2 c
  ask turtles
7 g% z- c! O" D: }3 o' B    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
! h0 ^* g/ w9 ~: d& q  ask turtles
) p: b  q/ C& q' g2 @    [ set grain-here 0
- r0 y3 Q' \) H* X7 ^      recolor-patch ]
$ e8 b$ c% b6 P  5 S7 `: z2 _7 R  Y: W( ]
end
' e* A( z2 R) f
0 ~% h  G) W7 g. ~* y6 K+ n/ ?to move-eat-age-die  4 y1 j. E6 P" {: z5 F; R" t
  fd 15 N) H" w2 ?' d' ^1 O) _1 r% A
  set wealth (wealth - metabolism)
% i( ~* s1 C% M% v; z$ G8 ?    set age (age + 1)9 W5 Y7 r% h2 @; [) ^4 y
  if (age >= life-expectancy)
% o6 X$ j0 @$ |8 A2 U) n    [ set-initial-turtle-vars-age ]6 N: w. B9 `% Q0 w: H! B
  if (wealth < 0)# P% T5 o4 T* f6 O7 ^7 O$ ?7 B# q# |
    [ set-initial-turtle-vars-wealth ]! l& X7 |  H/ n( J! F
    3 b& J* g  h* @% T8 H- s9 F
end8 K- i  Z) M) b& T

7 c* D3 K# ?+ j% u& c, `) y+ B+ x+ [5 L5 k5 X
to setup-plots
' h. D" C" o/ x- A  set-current-plot "Class Plot"
7 `6 }0 d" I( r) ]+ K0 T  set-plot-y-range 0 num-people5 M9 U. W3 M) M7 v  u
  set-current-plot "Class Histogram"
: V$ C$ @3 X! Y% t  set-plot-y-range 0 num-people; x2 ~; @6 [! b- o) E+ A5 M) k+ k& B
end
4 t/ P3 a5 m, V# f  N/ s4 g/ b5 b4 p7 t/ G+ \
to update-plots
2 ~: m% I+ }% M$ B& u- `" R  update-class-plot
1 l) k- K7 A6 E, i# g  update-class-histogram
8 a9 E7 A$ |& e/ q0 z- o  update-lorenz-and-gini-plots9 k' P, A/ j7 u
end' J9 l3 q' p( h3 W
: l+ z! D* j& u& C5 z
to update-class-plot
+ |  s; Y! c$ j  set-current-plot "Class Plot"; v/ {+ R5 X" p2 ?( \6 y* z1 d
  set-current-plot-pen "low"8 I7 Q+ ~' `4 @2 `8 T+ s! k/ ^
  plot count turtles with [color = red]
/ O& ]! ~' ?; U2 O% R9 V8 m. W  set-current-plot-pen "mid"
' X  a& z0 n6 }6 p  plot count turtles with [color = yellow]
) B; |8 T0 ]* O/ O3 m  set-current-plot-pen "up"# ~2 ~4 l/ x! c
  plot count turtles with [color = green]
' @9 {, u$ X, b# Nend3 Z6 `& r1 p, N4 ?6 ?
) T9 U9 P# a+ A4 b; w% }, C2 r/ E
to update-class-histogram3 F! |, }( U* `, C7 t, L
  set-current-plot "Class Histogram"
  v, k# K! @: w9 R+ J* t/ U) A" j4 z  plot-pen-reset
. f! x4 ~4 S- w1 u# G: f& j! I7 Y; B  set-plot-pen-color red3 @' \4 C+ z$ T( f1 Z
  plot count turtles with [color = red]
; u) E/ y$ V5 R) c( d5 f* ?6 }3 r  set-plot-pen-color yellow; W$ @( r- w4 V% e  c
  plot count turtles with [color = yellow]
$ Z+ t4 z% N' B  set-plot-pen-color green
  `* Y& D- [0 I$ P: K/ z  plot count turtles with [color = green]
- h* {! s8 d$ e: s* Send9 w6 Q% E5 p+ {7 ]
to update-lorenz-and-gini-plots
% i9 `1 O* T' t+ t& M6 I' {/ L  set-current-plot "Lorenz Curve"; [! w9 T: V3 T' ^6 M
  clear-plot
- |3 @* n$ u. b( P  Q& `, K1 r" J9 ^
  set-current-plot-pen "equal"
7 Q' S* ~# W% c; ^7 a* g4 J  plot 0
! t  |  b) n1 `  plot 100
6 }, I6 m2 ]/ W$ ?# [4 }0 N1 l; o1 K7 P$ X
  set-current-plot-pen "lorenz"6 R, L# _2 ]" F, Z6 J1 Q, R
  set-plot-pen-interval 100 / num-people9 M7 }+ b$ {+ s3 z
  plot 0" G; v4 f0 F) l# x& M; y! `
: g3 j# f( T+ M; }
  let sorted-wealths sort [wealth] of turtles
; C6 z  N" g/ s8 S  ]  let total-wealth sum sorted-wealths
' P9 q, n* {4 I& N  let wealth-sum-so-far 0% _1 C8 |# Z4 p/ ~* V3 U
  let index 03 G; g6 ~! E+ d! X5 z* ?
  let gini-index-reserve 0
. x' |9 M. H/ \7 y
0 ~, x% f1 G& B$ Y  repeat num-people [8 p. F" ]  K. ]
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)/ ]6 {" d4 F+ \
    plot (wealth-sum-so-far / total-wealth) * 100
! ~" N3 q& W4 |- \* s    set index (index + 1)! @6 O9 Z, A5 F
    set gini-index-reserve
* d! \5 H; n! ~$ \& }      gini-index-reserve +
' R+ _% n* S3 `      (index / num-people) -/ @4 s8 U2 f7 F3 {
      (wealth-sum-so-far / total-wealth)
! G& u8 E% r. P, Y* i; `2 D  ]( G' k. w! M! c3 m* _& g1 `
6 Q; T6 m4 i$ q5 H8 a2 l
  set-current-plot "Gini-Index v. Time"
0 p- H& C) T; ]9 Y+ B1 a  plot (gini-index-reserve / num-people) / area-of-equality-triangle
' w( `7 |) w: \2 X( bend
  Q) y  X! Z/ o9 Ito-report area-of-equality-triangle
0 A* Q5 M; h$ f, R* M  report (num-people * (num-people - 1) / 2) / (num-people ^ 2): ], m% ~9 R3 F
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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