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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" d6 j3 N5 U1 W: P  |
globals8 H& s; w' {( V9 J: U
[
4 ~8 ]& o- f& n- e9 n: J  max-grain    4 ?" ^* Y5 A/ h- e

+ Z* n6 ~: Z& ^% v+ @4 M]
) A' L. Q4 N# j9 D
6 w% _* }7 n  k' q! k4 S7 J) b: m+ ~patches-own% M9 |- `5 e2 @) O9 z
[- a' k* O& Y& j) @, P0 W
  grain-here      
0 R7 f( c& ?, e$ y* j  max-grain-here  # q  ~* |, `) u8 V
]+ r: |0 E' x  H- o! P

& c1 ^7 \. {  ^* E% vturtles-own( Q! i0 H/ o" E$ Y8 D, [
[
! w: ?( T5 p4 E" Z! _( X  age              
' c( p9 \4 v7 X: X; O  u  wealth         
$ U- p8 p; I) O, D0 Q  life-expectancy  ) Z7 `: ^) ^! ^- b6 N
  metabolism       ; `( t5 J, |! l3 E$ L; t$ I
  vision
+ a2 Y& L% k# ]  inherited         / e5 M5 {$ W5 M1 A3 L/ L
]- u& k: |) [* P1 j8 g

7 v4 v2 O5 C6 n+ V7 ]  L& Q# S" B7 q
to setup
$ G+ |( r$ A) M8 q' r! R  ca8 c5 Y4 a. z7 T. R
  set max-grain 50% @% U4 c1 a; \
  setup-patches
) j1 N  u( t" ?0 {; E, i2 I* {3 ^& u" A  setup-turtles4 X& f3 k* S1 V0 H' @7 U
  setup-plots* V- W% l5 J& Y- j
  update-plots
+ e7 ^8 J$ E( l# ]end: k8 v2 Y4 J% a; ?  O' U# `; d' e
to setup-patches: C0 a3 m/ Y' A; u* {
  ask patches: ~; j0 I, I3 M' v
    [ set max-grain-here 0/ [7 C, `, y% z
      if (random-float 100.0) <= percent-best-land6 n# X/ Z6 X4 N6 Z4 `0 |; w
        [ set max-grain-here max-grain
0 k  S  E, Z$ g" k$ Y% ^          set grain-here max-grain-here ] ]
& n9 I- b% c  G! _1 j  repeat 57 G/ C+ C, ~0 t$ u, T
    [ ask patches with [max-grain-here != 0]0 W, [. b$ X% z! r: m" ^5 S. @' c% ^. [
        [ set grain-here max-grain-here ]
1 Q$ T& F, D% k/ t, D" R      diffuse grain-here 0.5 ]
2 F2 m5 L7 x8 @& D( C  repeat 10( \6 P( {: T/ i; w
    [ diffuse grain-here 0.5]          6 G! A( l. R' F1 `( I- U! k
  ask patches0 k+ X/ X( q1 W# V! I, v: f
    [ set grain-here floor grain-here   
7 @# m" _0 p2 R$ B      set max-grain-here grain-here      7 \6 ~3 D% R$ r% ]
      recolor-patch ]
' {* P; D2 V# J  L, |* V3 ~" N- yend5 e% \' f* k: j# R& `
to recolor-patch  + Z8 K4 x" ~; m  p3 W' ]/ A+ L7 |
  set pcolor scale-color sky grain-here 0 max-grain- y. ^+ ^% j6 p& {
end
( N  y  j  z& Z7 R0 }$ ito setup-turtles1 w% z7 w+ I1 a2 F; f- I0 O( z( z
  set-default-shape turtles "person"1 @4 \& y+ ^) Z- K/ L3 L
  crt num-people1 I. p3 @% Z% \8 w( G
    [ move-to one-of patches  
1 b  ]0 O# g% E5 x# K8 G) W      set size 1.5  
+ I. S' s4 T$ i      set-initial-turtle-vars-age3 p+ @4 L, ~# s8 C' Q. V
      set-initial-turtle-vars-wealth
8 o  F' K3 L( O7 @& I! {4 w9 y      set age random life-expectancy ]  u$ h) {( p9 l- M6 j
  recolor-turtles0 `3 Q! R/ y3 M# H9 E5 m
end* a# K3 n$ m2 }/ V6 z* b9 K; f
6 j/ ~" o7 x. v% C- ?
to set-initial-turtle-vars-age; T9 r( D/ F7 T  p& J6 B9 R, j2 P
let max-wealth max [wealth] of turtles0 g: B& w2 R  y9 c
   
7 r( O, {! w( L  b8 @! I     ifelse (wealth <= max-wealth / 3)
& X; ~; `  i% J8 H4 B        [ set color red 5 V0 Z" e# N& l! I; Z7 |' P* ?
          set age 0
  P, v5 s" _4 P0 O          face one-of neighbors4
5 T1 f) k! R3 q          set life-expectancy life-expectancy-min +
9 H* _$ v* e' M0 S# U7 L5 ~                        random life-expectancy-max
- F$ x3 o6 B4 f          set metabolism random 1 + metabolism-low! _! U4 A% M9 S2 c1 Q/ d
          set wealth metabolism + random 30, M+ m( r, P2 x8 Y& W5 N  \
          set vision 1 + random max-vision
! O4 c# W- v- Z8 H/ o! b6 p8 }4 t             set wealth  wealth +  Wealth-inherited-low ]
' b; s4 H1 j: n0 \  X9 r        [ ifelse (wealth <= (max-wealth * 2 / 3))7 G/ S/ L" W5 s7 j
            [ set color yellow
7 \8 P6 M3 M' Y' |              set age 0* y6 r$ x6 o" ?
              face one-of neighbors4 8 ]2 v4 G8 V7 ]! \8 T$ A2 x/ m2 k
              set life-expectancy life-expectancy-min +
9 H4 R: F5 ?0 r' Y1 ]6 p                        random life-expectancy-max + 1
9 e, B# N/ z8 J& h4 w- I2 I3 f: U              set metabolism  1 + random metabolism-mid- c, N, W" `; j3 Z% x. [4 J
              set wealth metabolism + random 30
2 v$ E  _# W0 T/ c              set vision 3 + random max-vision
  X2 O7 a4 D# g" n. }                set wealth  wealth + Wealth-inherited-mid]8 I. z1 K$ K8 ~# p  H
            [ set color green * ?& X6 H! K& b3 `, I7 T2 k2 v
              set age 0
8 F4 r1 ?- U$ u8 n( s& o' s              face one-of neighbors4 % `8 x- S( N) c& I/ Z. O4 [
              set life-expectancy life-expectancy-min +4 e% ^& W$ j$ Z3 B* b2 L) n4 G
                        random life-expectancy-max  + 24 P4 l, }3 p, u. o/ w
              set metabolism 2 + random metabolism-up
  p* `" R, I3 t              set wealth metabolism + random 30
" k9 U* P: D' |6 k' {& @9 R              set vision 3 + random max-vision
- G1 J3 X* X5 t: l  y1 m              set wealth  wealth + Wealth-inherited-up ] ] & ~8 h1 P" t+ v5 F3 g% j# Q

" B7 K7 V) a; z) x6 Lend- U/ O' I% m6 P: V! D4 C# P
to set-initial-turtle-vars-wealth
9 J& W% S/ y+ E% ~, \( H* V1 @1 e let max-wealth max [wealth] of turtles: c% f: w: I  V2 w
          set age 0
  O3 b6 o! J. j          face one-of neighbors4
8 W0 Q) T, Q: ?) T" l1 p# |          set life-expectancy life-expectancy-min +
$ O& A# A0 R, o                        random life-expectancy-max . T+ s, c! S% s& ]1 f. a5 b
          set metabolism 1 + random metabolism-up
+ E2 P( D8 `7 X          set wealth metabolism + random 30
$ C+ i  l' K: C2 A7 s; ^6 V1 u1 ^* F" u          set vision 1 + random max-vision   {. C+ g$ s6 L* i5 c# @0 {
end1 r$ a( A' [! m
to redistribution$ _" b) l- A% Z( h: T
let max-wealth max [wealth] of turtles0 C: |: x) f4 Z' c$ z8 I0 f1 u
let min-wealth min [wealth] of turtles1 c) z* n& ~8 w/ q' L+ o
if (wealth <= max-wealth / 3)
! }& R  S6 a. k( y, O3 T; H; O" @ [set wealth  wealth + Low-income-protection ]
, F6 d$ U: K5 R# R6 m$ fend
* |9 {. _, V5 p" ]: J! }4 z          3 t0 c( F2 e8 W$ |, _# A" H, D! P6 d
to recolor-turtles
! j/ `9 m# M' V3 j" k  let max-wealth max [wealth] of turtles
5 S3 H# H; a+ u- o6 r' G  Z+ C, e  ask turtles
: M! t3 Y2 I( v% G3 b5 r  H, X; _   [ ifelse (wealth <= max-wealth / 3), Q, O  k6 K5 v3 R% q9 f) g
        [ set color red ]+ h$ d: `" q/ V. n; E
        [ ifelse (wealth <= (max-wealth * 2 / 3))' h: W* Q! M8 E1 X
            [ set color yellow ]5 Q" e8 {' h& {# h6 D
            [ set color green ] ] ]" s8 W; D, b; L
ask turtles [ifelse show-wealth?' o; B  a' N* [
    [ set label wealth ]& L$ N+ I: l8 K. B, h  l
    [ set label "" ]]1 X& V. g$ z( ]5 |0 ~1 f
end
) C4 B& _8 {+ i4 d; p; N
  B: T  v4 T, m9 a/ T- ?to go9 k* X6 D  M) q1 h5 q( s) I- E
  ask turtles
- m1 ~5 R/ u. I+ y    [ turn-towards-grain ]  0 a5 @" F# Z( w8 x8 [
  harvest  k% K0 y' i1 i7 N5 k# v; A
  ask turtles7 k$ f  r8 ~: c/ f/ f- c  j5 s0 J2 v' \
    [ move-eat-age-die ]+ f7 r, M4 R8 `" j: O" u
  recolor-turtles
( \" P  H+ o( \# J8 f: ~) f  if ticks mod grain-growth-interval = 09 J# J! N: \. r3 ^2 l
    [ ask patches [ grow-grain ] ]/ ~  {/ G# M8 ^6 _
   
) g  l/ V* T" C: O0 T  if ticks mod 11 = 0. T! I% g% y' O8 K
  [ask turtles- ~% @+ u1 r8 Y, x/ _2 x, k
  [ redistribution ]]' C: S4 u) O0 g" A
  if ticks mod 5 = 07 P( v7 N: m2 S. Q' q2 D- n: h
   [ask turtles. A5 t* B! R. `% l. ~. A
  [ visions ]]0 Q3 `9 p# Y, r5 i
  tick6 t4 F  p1 G6 u/ d" g
  update-plots
. U% o. k7 g! R" i9 Vend6 A7 H5 b8 t+ F
to visions
+ b+ S) i0 H+ F0 X" X5 h* c set vision vision + 1
8 n% o6 r3 r( @end
( C( D3 A" }, I6 i3 n" A# o4 {
6 Q6 d2 w/ H7 {: }& w+ C% s: R5 p" y6 J8 y+ f

* Y( u5 Z+ b# E  I6 p# x& p: z( pto turn-towards-grain  . j( X; J! U0 p
  set heading 0) ~% W5 t" @( u' J
  let best-direction 0& ^- M& g3 e( A' H7 j
  let best-amount grain-ahead/ p) W$ y0 a( I0 e* O
  set heading 90
" ~4 a9 b5 A) D. [  if (grain-ahead > best-amount)) a( [) B7 e9 d. H+ Y9 s$ M: x
    [ set best-direction 909 a4 [5 \. F3 Y( j$ @+ E& }
      set best-amount grain-ahead ]
0 J7 C" B" |# R! z  set heading 180; K9 G9 W: B3 [: z( O2 n* `
  if (grain-ahead > best-amount), a, b/ x; Y- G% @5 U  J+ ^' o
    [ set best-direction 1809 U' R1 r! u  M. W
      set best-amount grain-ahead ]  }/ W! z+ ~  Z1 _1 C, G
  set heading 270
# s, T( E9 {; e8 }  if (grain-ahead > best-amount)
9 E4 q7 \# L  b( l    [ set best-direction 270
9 V5 \9 t# }+ @3 y9 T      set best-amount grain-ahead ]
1 ^3 R0 s# n4 S: ?3 G0 l  set heading best-direction
  D! |6 n% V" |! Eend1 k! H& _# D* V9 s1 C( `

3 J; V, b: K8 G7 V" R
$ t6 C3 Y% [8 Xto-report grain-ahead  1 V7 u. c/ I" L2 J
  let total 0" b% s; R4 v- d$ }) J
  let how-far 1: A9 P7 m0 x  a0 Y* d# |  L, |
  repeat vision2 f' ?8 }% _( X# U
    [ set total total + [grain-here] of patch-ahead how-far
, A+ b# A6 `9 P9 ^      set how-far how-far + 1 ]
2 _# W- G7 A6 S' K" _6 T. i, \# {: G  report total% a/ ~% I" |( o1 P4 [5 i% h
end
( ^4 |  O9 G2 D6 F1 z" x. y6 L
, z: G- l. ?9 V0 D0 h$ ^, Ato grow-grain 3 D. U( h' W  a) b5 J
  if (grain-here < max-grain-here)' Z6 ~7 g% A0 h' M0 ?# b
    [ set grain-here grain-here + num-grain-grown
5 k6 {' V* Y; ^; b6 z6 Z3 k, y3 R& U      if (grain-here > max-grain-here) 8 y. Y$ i5 q& b) z0 b5 i1 g3 V
        [ set grain-here max-grain-here ]" f7 K6 C, B0 w3 ]
      recolor-patch ]/ P! w5 O3 j8 V
end  F0 Z) w7 H% F8 D
to harvest/ z; n7 V  G; q3 o" s6 @8 g& t
  ask turtles0 u) E; W6 p2 k% w
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]. M4 q  N2 h* g. y( b
  ask turtles+ L" N, {* R. R
    [ set grain-here 0
3 z' `' ~# T/ o" O* {      recolor-patch ]) e8 J) I; }# k8 z# f! ~. W' D
  
( B' w  B8 G/ @end+ M, O$ A' m/ z* ^/ W/ A' e

. u: t# ^+ X  e- F4 x9 K9 Uto move-eat-age-die  $ V. a( A! x1 H9 }, `: Q
  fd 1/ |& `5 u  f# ]+ K7 K
  set wealth (wealth - metabolism)
2 j% k3 h9 L+ S, Y1 z9 C9 P4 V% z2 J    set age (age + 1)
# C3 _  P" }( \0 w  if (age >= life-expectancy)
8 J: U0 r) Y0 w    [ set-initial-turtle-vars-age ]7 d# N9 t4 o& F1 i/ r& w2 F
  if (wealth < 0)
* z. s9 S0 b9 E7 `9 o    [ set-initial-turtle-vars-wealth ]
- L9 r& R# F2 H4 F   
0 N- ?! l- V1 L* U4 w+ a3 K0 {8 `5 Rend
8 Q2 C0 X+ b$ ^2 v4 ?7 B5 m* Z: u! V1 D

' U8 k& U* @% I0 k) T9 k! p' v5 O) Zto setup-plots
+ v0 m# D) _) ~- i& o  set-current-plot "Class Plot"3 Z- N& Z- r8 ]' O$ M9 D: S
  set-plot-y-range 0 num-people
" v! P2 E! i/ n% W  set-current-plot "Class Histogram"
; b- k0 s* Q8 J0 e* }" _5 P1 p  set-plot-y-range 0 num-people6 x, K) |3 e- e* u4 }# J
end
. c, h7 @) D1 p6 `0 z) N% f- I# Q4 W' Y( v0 c' B: o# @
to update-plots& i' D2 _# D# ]& _/ Q8 {* D
  update-class-plot& n% `  P0 r" C/ A! ?- L! Y
  update-class-histogram
" B3 O: s, A- |; Q1 D/ U' k* v  update-lorenz-and-gini-plots. `9 m! x' R( R/ O
end
% f% B8 _) [8 {
0 O1 x+ R" h. W! B: {to update-class-plot
+ [: P3 k! a3 E3 x  set-current-plot "Class Plot"
8 V: M7 |+ |, [) o  @- S  set-current-plot-pen "low"
6 J: n7 t* W, P, b/ s  plot count turtles with [color = red]& g0 {: K+ r# e. N$ S8 _, X0 U+ B
  set-current-plot-pen "mid"" V/ }  t" `4 p/ x$ h
  plot count turtles with [color = yellow]
7 G* i$ }: ^- V, `2 I  set-current-plot-pen "up"5 u8 r, n/ v$ @
  plot count turtles with [color = green]1 _1 ?; Y9 h8 {1 y
end
) v( s) U5 T* s; A* x, s1 `. U; R/ q" ]' c) U; m4 y
to update-class-histogram
' u) S& A. \/ u4 _  set-current-plot "Class Histogram"1 c: k" ?+ ~* q
  plot-pen-reset
# B- I8 w7 O) G' R  set-plot-pen-color red
% @2 S% h. ^5 y3 c, e/ j  plot count turtles with [color = red]# X# y9 y; \! ]8 G/ K0 ?- n
  set-plot-pen-color yellow
6 U; p- f" A; ^) L: {  plot count turtles with [color = yellow]- K. R0 F8 y1 n- A6 @
  set-plot-pen-color green& k# z& R; @1 j. j
  plot count turtles with [color = green], p$ t+ A1 ^5 Q% e2 J
end' ?( Y1 E6 m0 @# }1 Z! ?
to update-lorenz-and-gini-plots1 l& r4 u  w2 l% ~3 g
  set-current-plot "Lorenz Curve"( O5 s/ T; `0 W! n
  clear-plot
: H$ L- t. l+ y7 q3 ~* n' k0 `$ |$ F! ?/ n; Z/ X
  set-current-plot-pen "equal"9 y4 k) I( J7 z
  plot 0
7 |) l1 N6 m5 p# w) {- P5 g0 c  plot 100+ R# b' M4 V5 j

' [; q3 e) s. [3 [: i; {  set-current-plot-pen "lorenz"4 |. L; d, Z& v! m  n, \
  set-plot-pen-interval 100 / num-people% @: u3 i( C, q
  plot 0
* o8 s# r$ {' N4 [" S5 ~! V6 O% l0 [$ c( a
  let sorted-wealths sort [wealth] of turtles. h2 r. u! `- p& M0 {7 e& r& I
  let total-wealth sum sorted-wealths6 |, T% ]2 o: S# H' i
  let wealth-sum-so-far 0
3 F8 t! N) H* l3 F6 s, `7 t  let index 00 D1 i) z% i9 r: m& h
  let gini-index-reserve 0, n" \. H5 }0 E& K; }
, P# y! [- X- \( ]. u1 F
  repeat num-people [/ k$ C8 S; D9 V( t
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)- D! }1 Z- u3 x8 A: |* s# z* l
    plot (wealth-sum-so-far / total-wealth) * 100
6 F  Q: x" c9 [. N    set index (index + 1)
8 c. s$ ^" y" r( \* p    set gini-index-reserve
3 q4 ?. Y9 f# X. F2 \      gini-index-reserve +; l) M5 G) K! R: [/ W
      (index / num-people) -" G  I9 g7 K* ^* x
      (wealth-sum-so-far / total-wealth)
1 x" B8 @4 I; |7 l+ w0 U9 b  ]
$ U" |. s3 J& u6 u! H3 V. H% ~& L6 s4 j1 ~! W, G& C! |5 Z
  set-current-plot "Gini-Index v. Time"
" b' J- Q. @$ J+ B$ x  y. V% A  plot (gini-index-reserve / num-people) / area-of-equality-triangle" m& _. h3 b1 Y% h( ]6 M. k
end+ O$ T3 b- J8 ]$ w( }/ [3 d- j4 p( f
to-report area-of-equality-triangle* X% L9 I- t6 ~, j1 B3 V2 {% m9 ]
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)- ]- q; ~6 n: ^$ ~
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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