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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* W$ M* W  z! B) O+ |) W) w
globals& u5 H, L. H- X! k- {
[/ k1 c& R. ?# l- I% \+ L2 b
  max-grain   
9 q; |, H1 G! H9 [. ?) s, l3 F2 h1 n- J6 J3 X4 r, a
]" \, {5 m' u. F

. e* {$ Z: r5 R7 G% t' e3 Apatches-own0 Q: C  P  U9 Y% Y% Y' A
[/ X* E$ e  k; |3 V8 o
  grain-here      
, ]+ H  Q6 m5 A7 D- K4 L8 i  max-grain-here  
: d$ c, {# K: T! C3 c& W]4 U  h* b0 x, G; j3 |, M5 }9 q

# l' G+ M' V! F% i" E+ jturtles-own+ A; u$ x) f4 F- ^+ Y- k( d$ b  f0 @
[/ x2 O& ~! `: s9 P  U' @) I
  age              
5 i( {$ W3 N  z  \  wealth         ( e' J+ J2 z6 D8 M
  life-expectancy  
- t2 i+ ]& T; q$ D* @  metabolism      
6 a$ [! ?' e& [( x. b0 w  vision
' c1 }  \/ k. Q5 q0 \  inherited           p0 W- ^3 I# j6 B6 p
]# a! J' `1 I+ \! ]9 q& \% T
' n( U2 L# }! \

* }# c0 [8 a, I9 x2 Uto setup, n. M) {9 d, u; n" l; I4 L
  ca" [/ f. \+ e6 w* `5 ]2 k7 X) l
  set max-grain 50* [/ T7 ]$ `/ H
  setup-patches0 A' e0 j7 C- g/ Q9 m( c
  setup-turtles
, j- y* N1 v& i+ o  setup-plots; t& D6 ]! S4 C
  update-plots
( D/ L; @* T: h& `  m' l" rend: H- H8 Z3 E4 N( Q) U& e+ Y6 A0 Z
to setup-patches
8 Z% N5 j3 f3 N1 R+ u  ask patches
# J& n: S4 Z! t    [ set max-grain-here 0
; r+ C! u+ `+ P- h$ |1 P      if (random-float 100.0) <= percent-best-land: X5 O& g) F- K- a1 y: N
        [ set max-grain-here max-grain" J6 C, W5 }! N: }' [6 j
          set grain-here max-grain-here ] ]
, n, Y; F( z4 ~, [1 F- Q$ u  repeat 5
* n; J! l- d/ u& o  d+ Z" m; J    [ ask patches with [max-grain-here != 0]
' U0 y9 l  a8 l1 Y% F; a: \( N        [ set grain-here max-grain-here ]
$ G/ ^+ m- k$ ?1 h" L% _$ C      diffuse grain-here 0.5 ]$ b1 R' |, l' W. b2 {
  repeat 10
5 j: ]7 X3 }3 p2 n- m: B    [ diffuse grain-here 0.5]         
  \( {! ]# `) h  ask patches
3 m5 {! r  t3 D9 @* I0 H    [ set grain-here floor grain-here   
; S+ f3 i7 V  h+ L6 |4 N% S      set max-grain-here grain-here      
1 O! x0 S% f% R/ \, q7 E      recolor-patch ]0 K8 O4 e, y8 W2 f; K* e! W
end4 G2 j+ U, Y' C, j- h+ M. N; @/ B& b+ z
to recolor-patch  ) f: K, F1 h" [( P0 w( [7 t
  set pcolor scale-color sky grain-here 0 max-grain, h& \& L* K: g' N7 C
end
2 h* a" r0 Y/ G  Wto setup-turtles- _$ D6 _3 x( g2 N% k( X
  set-default-shape turtles "person"
) Z8 v' v; Y/ f' s  crt num-people* ]2 l& z) T( V4 {' y: c
    [ move-to one-of patches  
. [4 |6 V0 k+ w/ ~2 K      set size 1.5  
: D- V# h2 @& P& P- p0 ?8 z      set-initial-turtle-vars-age
4 j) G# {  @6 `; F* {9 {      set-initial-turtle-vars-wealth2 w) ^0 q" x+ d
      set age random life-expectancy ]
6 _2 X2 m* q4 Q  recolor-turtles6 H9 f% q0 R# n6 ^1 V) \- O$ }) Q
end  p) r0 K! d9 r5 f

4 `) l* a: f# H& m+ B3 q9 U1 \" w) mto set-initial-turtle-vars-age
9 U+ O6 O# @' Z0 V let max-wealth max [wealth] of turtles
5 ?9 L% @/ @4 }$ _, o& h/ i0 Q   
- c# j- j0 x2 |; ?; n2 z# V1 }     ifelse (wealth <= max-wealth / 3)- s% O- p: F9 O$ y* H
        [ set color red
$ e1 ?4 ]1 _6 G5 C5 O5 |) K9 |          set age 03 ^# _/ c# n1 O8 E
          face one-of neighbors4 ' }/ r3 |% O) ~  L# ^, B
          set life-expectancy life-expectancy-min +
* a; i3 x' b+ O% X& E( p/ [                        random life-expectancy-max - b6 z6 |# h! A0 p# l: Q8 P9 F; K! W
          set metabolism random 1 + metabolism-low
$ g3 ~. Z/ a: D" g4 _* c/ q- l          set wealth metabolism + random 30* }( t1 q% J$ f# j+ o% J7 _
          set vision 1 + random max-vision& L" |+ U5 J- h0 L3 U
             set wealth  wealth +  Wealth-inherited-low ]+ `; n+ s* E4 Y" D
        [ ifelse (wealth <= (max-wealth * 2 / 3))
! X8 @0 z$ l/ G0 R7 E, ^* L1 o            [ set color yellow
2 K; S. }: p" @' T2 s' s& L% L. B              set age 0
2 C/ Q" z0 H7 l: o  P/ e: ^4 u" K              face one-of neighbors4 9 W: X5 N: L0 h7 P- F) Q3 Q+ ?1 h
              set life-expectancy life-expectancy-min +
9 o/ h* h  k- [                        random life-expectancy-max + 1
, z- p3 i$ R2 y  v' T6 a3 |: ^7 m3 G              set metabolism  1 + random metabolism-mid
7 q9 A7 o9 l* N8 b- n: y4 c  n7 n              set wealth metabolism + random 30& H; g" W: y5 Q1 a1 p: U
              set vision 3 + random max-vision7 ?6 b8 p& `+ x  k: E
                set wealth  wealth + Wealth-inherited-mid]
7 `$ z! b6 [& g3 ?5 O            [ set color green
+ r) ^& a; t( u# n- u; G7 m/ f- c              set age 09 v) l* C% l& y# A, L; M3 W+ p
              face one-of neighbors4
% w! o8 u6 n3 U: _              set life-expectancy life-expectancy-min +4 S4 L' D- _- }) N) c4 s  S: E" M& N3 [
                        random life-expectancy-max  + 24 V# ~$ S( p8 F5 |* g, }
              set metabolism 2 + random metabolism-up
- q# N/ L3 `; G3 L& J; M              set wealth metabolism + random 30) H7 T& V% B9 G' w1 m
              set vision 3 + random max-vision
" _9 f9 c' f5 s+ ~              set wealth  wealth + Wealth-inherited-up ] ]
' ^) k9 u# Z+ ] / m" n6 D" ~; W4 r& H7 ^3 q) @0 l
end
! X* C3 e1 g9 O+ }to set-initial-turtle-vars-wealth
, x9 `2 _, o) L" O% B' Q* Z/ ^3 U let max-wealth max [wealth] of turtles6 t4 }1 I# z% }( d' n; \
          set age 0! H) A* {) B! w* t3 w" I* B
          face one-of neighbors4
' B" v9 t* k) C) D* {% J          set life-expectancy life-expectancy-min +; v7 [$ p& A) `2 V
                        random life-expectancy-max
8 A$ d+ U) _4 ~" e          set metabolism 1 + random metabolism-up
6 s& Q) H5 x# C; m0 [) z          set wealth metabolism + random 302 U+ W; M! N8 e6 u' E- F
          set vision 1 + random max-vision
5 w  U1 w. c1 w7 s6 _end% G1 Z0 E7 @  Z% N  o5 [: N
to redistribution% c* L$ J; c( w$ \
let max-wealth max [wealth] of turtles
. M2 O; x  A# U6 S0 X$ Elet min-wealth min [wealth] of turtles
# K% Q& V3 d( a- A9 N+ xif (wealth <= max-wealth / 3)
: e& K* ~5 j+ `. @( T) Z [set wealth  wealth + Low-income-protection ]$ l; \; Q$ [' C6 ^; ^6 j; a3 j3 Q
end* m! |) ?  e' a6 w) Y
         
: J/ E8 ]# K  L- \& L0 E. N1 z$ b! {0 [to recolor-turtles
7 k1 R# T0 Y' I3 x: W  let max-wealth max [wealth] of turtles; |) A! a+ [) D2 w
  ask turtles" U! k0 o. R; A* @" C
   [ ifelse (wealth <= max-wealth / 3)
8 G# y& m3 F* C: [+ `        [ set color red ]
$ c. H$ Y7 E4 e        [ ifelse (wealth <= (max-wealth * 2 / 3))
0 Y. u% T0 h( U- N            [ set color yellow ]
1 Q1 d" L) j1 p6 F            [ set color green ] ] ]
$ t! n: e# A4 ?4 \3 \: C4 c7 U ask turtles [ifelse show-wealth?  b% c" g- |) B0 N8 n# r; H) }
    [ set label wealth ]; M% W. [# w' G3 L( k) p/ L! H+ P$ l8 q- @
    [ set label "" ]]6 r  n& \( g% j9 m% E
end  |  I% y: R' M- k

$ V2 c! G+ g% u/ H% fto go) R0 l, a& q' i7 b9 g; ~, G# G
  ask turtles
) F, [2 k' Z& C+ c: ]# k4 B    [ turn-towards-grain ]  
9 @0 ~( o, _/ S+ {  harvest3 j7 }3 L' u! Z* L
  ask turtles1 s6 k9 x. _  u8 Q  w7 |3 p  P
    [ move-eat-age-die ]
1 C# }4 {& U6 ?% ?  recolor-turtles
9 O" U' f7 w3 j' C& `/ F  if ticks mod grain-growth-interval = 0
8 n2 P  D: B9 C5 l8 ^2 ]" V    [ ask patches [ grow-grain ] ]) j* V& g0 y6 Z7 l4 x
   
; A. S$ Z, w* ~  if ticks mod 11 = 02 o  @4 P* k7 v: h4 f
  [ask turtles# p$ |1 m3 ~" q" l9 a9 I, S" j
  [ redistribution ]]
# ~5 @2 y9 Y9 @/ k1 [# h6 G7 F  if ticks mod 5 = 0& ~4 u+ v, X  l
   [ask turtles
2 d  u2 u7 ~  [; Y( B  [ visions ]]+ @4 a( U5 ^) R+ u5 R. s/ \7 W
  tick
3 ^6 T) x& W3 n' }: g! T  update-plots; a+ K1 N4 [' Q- g% ^
end
$ N7 K! Y- H6 A5 E- }& vto visions- q* O1 z/ E1 R4 _5 a1 J+ m2 j/ U
set vision vision + 1
1 R  r/ A' v/ ?4 j4 Pend
- u: i3 D! ~" u" w* V5 H& y0 p* h
1 Z; |/ K# X& d% n2 ]) q

3 E. m+ Y! u2 k6 e  Dto turn-towards-grain  
! w4 n7 \- j8 A6 Y. M. }( a  set heading 0$ B2 `& J9 P9 x5 ]2 i  J  Y8 D! l* ?
  let best-direction 04 ]9 j( X, L' ?
  let best-amount grain-ahead8 S& D- a0 L# [+ R* @
  set heading 90
( W, O( c# W( p9 t  if (grain-ahead > best-amount)
+ o& F9 C7 O. Y/ I6 b    [ set best-direction 90; `6 |& x& C* ]. l
      set best-amount grain-ahead ]+ R: E; Q( g. T
  set heading 180
3 |- @8 b" w0 C  if (grain-ahead > best-amount)
" N8 W7 {' L8 O8 u    [ set best-direction 180; g0 j) s8 \8 F/ b. D1 {$ b
      set best-amount grain-ahead ]* h$ C5 r/ h; n7 V
  set heading 270
* g5 L! e2 H( t- V+ Z  if (grain-ahead > best-amount)
( h( v3 U6 p4 l! n. |    [ set best-direction 270
1 o* f# v* y4 @: c      set best-amount grain-ahead ]
$ w8 f5 o. c$ V  M  set heading best-direction
/ M8 U; a" a5 K9 E  i" h7 K$ rend- V* z  d, [# ?3 N0 Z+ O
/ U. D/ V! E! J. M, w
4 s$ [9 f5 g2 Y1 q" e7 ]/ K8 \' @
to-report grain-ahead  ' R) n. h8 c  c- d% j1 [! O- W
  let total 0
0 m" a" R# ^5 s# O  let how-far 1, ^% b+ c" o: u6 Q3 y+ P9 Y
  repeat vision; g/ I: I/ [' i2 C, ~
    [ set total total + [grain-here] of patch-ahead how-far
* d: H& x' s# x9 U      set how-far how-far + 1 ]( K0 E( W' Z0 j5 I7 T6 ?
  report total
. y6 ~1 E0 r3 @' S4 K, t8 {& Aend8 \; i; [7 a8 @: R) a) M

" T, ~) Z# |$ _  a, Dto grow-grain : `* t* u' P! h" u% Y
  if (grain-here < max-grain-here)9 p. Z! E6 V3 v- {
    [ set grain-here grain-here + num-grain-grown
% N: n1 R" y: b; C! n  J6 z      if (grain-here > max-grain-here) & q/ a- N) s/ |9 _$ A/ T( f$ q4 w
        [ set grain-here max-grain-here ]
1 X- B) I' C2 q- d. D      recolor-patch ]
5 N7 z( V# T+ W! Zend+ A- n3 Q, ]7 ~4 G9 ?( d  x
to harvest
: U! _6 Y5 c+ n  O$ m& z  ask turtles
1 a7 x. {, @/ Z0 `. U    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]$ D7 W8 f- y% j
  ask turtles
( B# [& V7 S  M. E& H    [ set grain-here 06 S2 B) S- U3 Y) E
      recolor-patch ]
4 A; W8 r1 g7 \5 G4 d4 H% T* V! g2 r  $ ]8 {7 P' D% ~
end- J; U. O2 I$ W8 ]- s
* Y2 U! e! u" V! s' m
to move-eat-age-die  & l2 _. j. P: b: }' A7 }
  fd 1' g" `7 r$ R1 }  j9 Y
  set wealth (wealth - metabolism)
7 ]& P6 A$ T$ L' }    set age (age + 1)
, r: |2 ]9 q! |) T6 ?8 b& ^9 a% u+ W  if (age >= life-expectancy)
1 L/ n/ v7 }( r  i    [ set-initial-turtle-vars-age ]$ ]) H- i  W# p2 \8 G
  if (wealth < 0)
) b$ c/ T. N  Z3 J! g9 f    [ set-initial-turtle-vars-wealth ]
7 n0 J) ]  P" D. J3 }0 k5 }    0 d- ]* ]# k0 t+ D
end
5 e  Q+ a" k: r* k1 o; u) z1 Q- m4 B1 z2 b, [0 I% G
) u+ ]7 o+ ~" r* x, P
to setup-plots$ h# Z3 L/ t  N6 |( M3 `6 M
  set-current-plot "Class Plot"
) x& I2 `/ l8 i" u! [! X+ {  set-plot-y-range 0 num-people
; E0 O  g. Q* ~7 Z/ h  set-current-plot "Class Histogram"
8 o* H' Y+ Y9 t6 ~8 r/ V( e  set-plot-y-range 0 num-people
; G" o- L& P( K) E) C$ Fend
/ o0 P$ ]  t6 U
8 ^: C+ C, Z; E6 u6 j. [to update-plots
- Y7 y/ W% N" P4 m! G- V8 Y' b# X, v  update-class-plot
2 i! D( ~: \, ~- ?- v  update-class-histogram5 N- y$ ]1 r2 k. W7 J5 S; x  s2 L* J* S" E
  update-lorenz-and-gini-plots
* q/ N! C$ d, x/ a& _end
% l; G  @, N! ~$ g" ~4 m7 y% L3 A
7 q& \: J1 L) |5 q8 n1 Bto update-class-plot
7 ~* o; ?2 z: X1 D8 Z* ?6 U; f  t  set-current-plot "Class Plot"
0 J5 f, D; C& U  set-current-plot-pen "low"% ~3 ~0 @) i2 P7 h( t3 ^+ X- J8 j
  plot count turtles with [color = red]2 D7 G  l& t1 z4 `# F
  set-current-plot-pen "mid"
6 R# E6 U" @; p4 e  plot count turtles with [color = yellow], H0 d1 a7 a9 t& z
  set-current-plot-pen "up"- W' ^5 s: G  ^" l3 ]
  plot count turtles with [color = green]
  g5 w0 F' I2 F6 Z) Aend/ \. {, q1 M( g4 J8 F$ l8 ]

! @" |' G- d+ Y9 r2 W) Nto update-class-histogram
' L3 m& ~" _. b" h  set-current-plot "Class Histogram") f. k$ m: f$ O  [
  plot-pen-reset
6 p: q# S$ }( c$ O; I5 e  set-plot-pen-color red  N4 p* P* q! }1 M
  plot count turtles with [color = red]
3 C# g7 \2 M, T3 }& Y$ I! y  set-plot-pen-color yellow
# u; _  L/ _% ?- S  _  Y) }7 c  plot count turtles with [color = yellow]
9 o7 L' h6 y8 D3 u) {( p. i9 s  set-plot-pen-color green
% U, I& v4 n# _  L7 p  plot count turtles with [color = green]
# g0 ^  }  c- D- W2 e- m! Pend4 A1 S* ~4 a2 n- P  A6 ^+ K8 a  x5 C
to update-lorenz-and-gini-plots
5 j; K; k2 `3 ?) q/ u* C  set-current-plot "Lorenz Curve"9 N$ l0 Q; a3 S! v% j8 ?* c
  clear-plot
- |% ^4 H: q" R: ^# K/ \! q% Q# [
4 J) I( L/ p2 N2 {) n  set-current-plot-pen "equal"4 J8 Y' x' o, D2 H4 _( b
  plot 0, m2 J6 C3 j  |$ @# t. _4 Q
  plot 100
& x# L( C- A5 a/ K! Q* P# }/ D8 t- y7 d! Q5 q; a$ y% M) N( n9 x' B$ ]; |
  set-current-plot-pen "lorenz"
0 h6 E8 A, D7 Y5 Z' c" ]  set-plot-pen-interval 100 / num-people
4 D1 `% @! m8 v4 f2 h9 H. j- \+ ^  plot 0
3 Q# T8 e% J/ n4 P
( m6 k  w: I5 F7 ?6 Y' ^1 T0 C- x  let sorted-wealths sort [wealth] of turtles# b! [( k" Y# v5 y) J& U5 o
  let total-wealth sum sorted-wealths% {/ }2 D4 A! c5 y* i9 C# p" i9 V
  let wealth-sum-so-far 0
; V+ ^% t( w( z9 ~' k  let index 0
- H3 L$ j4 x: B* t7 G: }( W  d( ]  let gini-index-reserve 0
5 p7 g8 a  c# B3 }  b3 e2 ?0 |. N) b% j1 P7 |$ m: T! R6 e
  repeat num-people [4 r, }  i$ u- q3 Y
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
: I7 y0 p! G6 l: o, x. h    plot (wealth-sum-so-far / total-wealth) * 100" `; A# Z, a; l* z
    set index (index + 1)  H0 Z- ~' c) H/ S& y5 x8 I- D
    set gini-index-reserve2 }' Z6 ^% l( p  ]- j1 x% k
      gini-index-reserve +" p  ]0 W4 E. v# d7 ~! \5 M
      (index / num-people) -
6 {/ a) s+ a2 ^& Y      (wealth-sum-so-far / total-wealth)8 i, q% @( C' W8 [; g0 ]
  ]- i, @- h; z3 \1 {' @- E7 d

/ ?+ g9 I  u$ @; R0 ]' ^" Y  set-current-plot "Gini-Index v. Time"2 T, I1 y' A: b. v( m9 }8 J6 I
  plot (gini-index-reserve / num-people) / area-of-equality-triangle; X2 R" A- e" ~
end
1 Q! p! G) r; S7 B& t8 L' \to-report area-of-equality-triangle
  G8 u: k$ a7 @  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)+ _; G# C9 _/ Z5 ^( h) @
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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