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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7 w4 g! _$ J! o
globals2 q7 Z4 T, B4 ^. ?3 D
[
* ]0 Q% w! g- L0 G* j0 [3 q  max-grain   
3 `( r' B2 D0 A: f9 p  Z1 X2 x) E, o5 a: i8 |& |
]
. G* ]/ [4 O: Q7 k' J( h3 J( C& ^9 @; j  J. a) O, e
patches-own
; Q7 q2 o& f& a[6 `" u# [! p1 D& v2 `, v- O
  grain-here      
6 q4 Z% `8 l3 ?! ~/ b. X8 Q  max-grain-here  
7 _, @' r9 x' W]
$ ?$ r+ f  I" _6 X4 N! m" Q; O0 s- Y+ `! g4 Q) R  q+ Z0 _; ^
turtles-own7 m9 |6 F* o7 f: |2 }3 B. s' F
[
7 B2 n& U7 m! `  age              ) g# q% O7 p3 c6 Z
  wealth         
* v' j( D& f8 M- ~" d" p  life-expectancy  ' a' e+ _( {  o$ H3 y
  metabolism      
7 {! t7 W- E4 H/ Y; \  vision
5 T, U' _4 ]# P2 J" ~% s  inherited         
7 A) a3 p% g2 p) ~  G]& [3 u& Y- |' R* a+ l" [5 V( e

) O1 ^& o% b1 E$ ?4 c8 ]5 g+ `# ?8 ^( m! f: {+ a
to setup# F  N9 A- l3 `" T& J# j
  ca: b! d  ^% u+ r, O2 O( f
  set max-grain 50
# d2 L' u% a6 c" L! @/ U  setup-patches
( I6 G: A  r) ]; |) j/ p. S  setup-turtles
# k0 |- k8 l/ X# r$ ]  setup-plots
' K$ k- t3 a, C2 }5 S! M  update-plots$ D- Q4 X3 F, r
end4 y9 u: x7 O" w# E# b
to setup-patches- n# w! {2 w4 J2 n6 p
  ask patches
- {3 v' k6 d  i/ Z8 k2 l' i) c3 B    [ set max-grain-here 01 ~+ F+ W  U6 E. ~5 p" c
      if (random-float 100.0) <= percent-best-land
/ P# G2 Q5 b1 W) i' G        [ set max-grain-here max-grain! p2 Z! ]( T6 \2 Q" o
          set grain-here max-grain-here ] ]
2 G, M6 @9 ^, M' y. P  repeat 5: s" R+ E" F5 [, C
    [ ask patches with [max-grain-here != 0]# A0 ~* r# P  X3 d  T0 c) P
        [ set grain-here max-grain-here ]% @( s4 m. f5 G9 X8 Z) |1 x
      diffuse grain-here 0.5 ]( S* d3 }' y6 P  ^
  repeat 102 }( B$ f. b- m
    [ diffuse grain-here 0.5]         
% q7 q5 J& W$ E1 x2 d2 V4 a  ask patches# `( ?* W; g: A$ y
    [ set grain-here floor grain-here   
2 |: _2 B5 o2 [( x1 _$ c+ a  n7 C5 N      set max-grain-here grain-here      
  J6 ?9 Z+ R& X, Y      recolor-patch ]. |; k; q! Y( r9 f
end
1 Q7 N8 G5 {/ m" }to recolor-patch  
" E( a0 V  U" o  set pcolor scale-color sky grain-here 0 max-grain
* X' p& t2 ^$ ^, U- q/ E' h2 e3 kend) E  Z8 t# [  Z! l5 J7 p- [) h5 t
to setup-turtles
" r, _- _: e, i& [  set-default-shape turtles "person"
3 l% U5 E/ W: G5 e  crt num-people
2 p! Q  }9 L3 ?4 X' R% s    [ move-to one-of patches  
& K9 O, u) g8 Q8 H" M( ?; U7 d      set size 1.5  $ D* ~8 ]$ V9 [8 [4 S; m
      set-initial-turtle-vars-age7 W# x; p- G3 Q% X
      set-initial-turtle-vars-wealth' h, u5 Y( F8 e& ~; U% g/ E$ y
      set age random life-expectancy ]$ o) d* C: N4 A( D4 i+ ?4 u0 K
  recolor-turtles
: e, W4 r& R; j' V! Y# Dend
* ]- ?  Y: a* ]$ k5 C) W
' x( h; Y0 V  D0 I3 u- b' vto set-initial-turtle-vars-age
* v/ r' s' U: o2 }6 L& `" u  x let max-wealth max [wealth] of turtles  y  m. I/ `* j' |( C
   
) k8 V2 [7 X0 z& D0 Y2 x! q4 `     ifelse (wealth <= max-wealth / 3)1 j1 R% P) G" e9 ]3 \
        [ set color red
7 f' O) ^; t( ^+ F1 E; y          set age 0
# V: }/ W- a5 M4 H; Q          face one-of neighbors4 0 Q) m- c9 [2 {" E1 X
          set life-expectancy life-expectancy-min +
, Y: c0 ~  A3 p3 x4 ?" e                        random life-expectancy-max
. h! o- \( y8 x          set metabolism random 1 + metabolism-low
$ T' w" K* `  s' ?          set wealth metabolism + random 303 ], ?& w& Z' b4 U$ ^* t, K
          set vision 1 + random max-vision
+ n4 `) l& c7 m1 u; \8 A0 s             set wealth  wealth +  Wealth-inherited-low ]' |* H; r$ ]" i
        [ ifelse (wealth <= (max-wealth * 2 / 3))
' p4 F* e8 u  H            [ set color yellow
" E; ^1 N1 n) q/ Q# c9 t  m  ]              set age 0
: i: K% ]. y/ Q- s& y              face one-of neighbors4   U) n; X$ P' r2 P' E
              set life-expectancy life-expectancy-min +/ k- P) }$ m" }" w
                        random life-expectancy-max + 1
7 p) O. [# O$ x/ H  M              set metabolism  1 + random metabolism-mid
" E1 S3 R+ A7 x' [1 V! ]              set wealth metabolism + random 30: f6 ^* q  x1 X5 E: u5 ~
              set vision 3 + random max-vision
7 f5 U- e- q/ w" c* _: d  v) @) y                set wealth  wealth + Wealth-inherited-mid]5 j- ~8 x# D  D# W$ p" _
            [ set color green
; x; C- N3 f4 P) S* A              set age 0! K0 ]. ^$ t4 k$ H
              face one-of neighbors4 4 d$ Z! G( d: Q0 z+ j6 I
              set life-expectancy life-expectancy-min +& C2 P; X7 v# B- K
                        random life-expectancy-max  + 2
) @1 h4 _, H" s0 a) U) w              set metabolism 2 + random metabolism-up' b! C7 @1 o& F# j/ b$ S4 ]
              set wealth metabolism + random 30* n, G( G) c/ f2 N; {: P0 w. \) ^
              set vision 3 + random max-vision2 X. ^3 A7 w  F
              set wealth  wealth + Wealth-inherited-up ] ]
6 y' q  F$ g1 T8 ] " A: A' f- p% S" ^
end
  t+ M3 d; t2 M) Bto set-initial-turtle-vars-wealth4 {) z7 _; g  y' M7 p  d
let max-wealth max [wealth] of turtles
5 `$ f, Z) s$ G! H2 l          set age 0# m* ^6 F1 V1 x; I- M
          face one-of neighbors4
5 s0 f' D  `) N0 {& ~          set life-expectancy life-expectancy-min +
5 @( e0 h$ V5 m: p) F                        random life-expectancy-max
. d5 `+ ?! F% c, z  {          set metabolism 1 + random metabolism-up6 Z1 M% d) W$ I7 k6 B/ {
          set wealth metabolism + random 30! b  J" J) I9 n8 L' L
          set vision 1 + random max-vision " o$ H, W7 U" w$ r" j# q) E; F2 g- c
end2 t$ B1 G2 {9 f0 D# z6 s/ G# s8 ?7 P( f
to redistribution
5 c. R; ?) H4 ^& a& n( Nlet max-wealth max [wealth] of turtles6 g" a+ G1 X5 S$ b9 k8 t
let min-wealth min [wealth] of turtles
6 a% u1 P) b7 Yif (wealth <= max-wealth / 3)
  a5 S; V, m5 n3 l" Q8 n [set wealth  wealth + Low-income-protection ]
: A7 H! @- ^# I( Hend
- t  L7 t7 K4 z( C6 j: w- W% O         
; U3 h2 Z4 y  N) o, s. @# L- l1 oto recolor-turtles* C% G2 [4 Q+ c+ f. Z% C
  let max-wealth max [wealth] of turtles
( X+ C# W9 o8 S. W6 z  ask turtles  z( K$ P  }# N* H: J5 _5 L
   [ ifelse (wealth <= max-wealth / 3)  g7 T7 u! v' a% `4 s9 Z
        [ set color red ]
) v7 A1 b2 A, V& \! L- L( d        [ ifelse (wealth <= (max-wealth * 2 / 3))" F6 M8 d# @3 ?) b9 }1 x
            [ set color yellow ]- a. ?" W0 R7 X/ t7 ]5 Z
            [ set color green ] ] ]. O" p4 v6 O' q5 t
ask turtles [ifelse show-wealth?  y8 F/ t0 `+ C0 o
    [ set label wealth ]$ L4 w+ t* c  L  b6 z% o
    [ set label "" ]]: `2 w+ _( G! Q& E
end9 S& R+ M7 U0 {  J
( ?  P" f7 ]$ L3 e3 _# C
to go
9 p9 ?' ?  H1 M  d9 Y$ l& l$ |; S7 O5 e  ask turtles
5 E' l7 y" v/ g9 E    [ turn-towards-grain ]  ; @, d) T* P$ {& F- p
  harvest. ~" B) Y* c9 M/ T2 `
  ask turtles" S1 v( b3 r, e( b8 m. J" A- L
    [ move-eat-age-die ]+ X* f! j4 A& ]- [% f) i
  recolor-turtles1 M% J( j5 G. f
  if ticks mod grain-growth-interval = 0
5 i' ]9 V; Q2 B    [ ask patches [ grow-grain ] ]' e! @# D4 d8 I( @& X  U" R* C
   % B+ x, t! ?" J- I) o% c9 {
  if ticks mod 11 = 0* a: u) H5 y& n
  [ask turtles0 C, b& K; A1 ]# A  K/ V/ C0 b
  [ redistribution ]]
4 q0 \3 C( ?- Y  if ticks mod 5 = 0
' @6 {# x% d/ A, d   [ask turtles# G% n  L" @/ U3 v" q
  [ visions ]]) U; I+ f/ f& r; t. z; |
  tick; A/ _) }( m2 v3 _% J
  update-plots
/ T+ n# d2 _& d- Q& {2 e% Tend
' x; z- d# t* Z* W9 t) D; K8 sto visions
: q" @5 f6 W8 y$ P8 t* }  o set vision vision + 1
0 z0 G: U3 G- f1 r8 \end% A; s1 Z* p/ e1 W2 m( x2 K

* }- Z3 u  P+ X5 j# h' l" ]
, W. _* j6 r5 B4 z3 `! t$ k! I. A% [- }5 V& ^& v
to turn-towards-grain  
8 M+ L; r1 k: R) O- S( p  set heading 04 q4 {$ n( b$ F9 E% P. ~5 w$ a8 x3 h
  let best-direction 0
& q* D& f. S7 V, @  let best-amount grain-ahead8 o  A/ v+ ?- E, |6 H
  set heading 907 ^+ _/ `! C4 K5 q) {
  if (grain-ahead > best-amount)$ J$ T6 ~& E1 T7 o
    [ set best-direction 90  k  b- `0 u+ K- t
      set best-amount grain-ahead ]3 H7 m! c9 b" N- `5 e+ Z0 i
  set heading 180
- l/ r+ s( Y7 f' W5 _" w  if (grain-ahead > best-amount)- _6 [' x2 N  }' B5 T. O
    [ set best-direction 180
& a. q) B; a: g$ e# v      set best-amount grain-ahead ], F+ @: K) I9 X% C6 _. R
  set heading 270) Z  T( ~" l# Z% a  O
  if (grain-ahead > best-amount)3 j9 _' ]# A/ t# v
    [ set best-direction 270
- X' V; H: ?& r" O+ l; F" A* K      set best-amount grain-ahead ]
7 \, ?+ ~' d* ^+ d2 Z& q  set heading best-direction
" B; E7 h. ~, w% r5 Lend
1 l) P, i6 Q  R. b2 Y( A
1 c! @, `1 m8 z0 ~& R6 \  z8 P! I6 S! b# d3 D9 J$ s; i  ~
to-report grain-ahead  ( i6 N3 c: `- b2 Y8 \
  let total 0- H3 B# w: Y* z4 U: ]9 A
  let how-far 14 [- E! f8 ^! E" M6 ?4 A8 I' u
  repeat vision6 \( F" _; v/ b( k2 a
    [ set total total + [grain-here] of patch-ahead how-far" O' D7 T' T1 i& I: d8 m2 v
      set how-far how-far + 1 ]
4 ^5 f2 c5 ?* R+ G% G  report total& f5 u: t% t" L5 G: K5 h# x( c
end
: D6 I# U$ U& Z% W/ }/ J. a/ ]+ a7 U1 Q
to grow-grain 3 L( O8 l* V, ?/ O
  if (grain-here < max-grain-here)1 h( G( I. a: [$ U/ [7 K7 `
    [ set grain-here grain-here + num-grain-grown) K: E5 c- ?' A+ c
      if (grain-here > max-grain-here) ; s% W) N) Q. c4 G1 O" o* _- U5 }
        [ set grain-here max-grain-here ]9 c. s( N8 H: j$ k1 b
      recolor-patch ]
  x0 Y( N/ g- I+ ~: [* l& |4 Mend- i! Y# ?* p! n- U" P* W' u( j
to harvest
, h* n: K5 t+ _  ask turtles
+ Q: p0 S4 ?, J* |- X    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
8 a. `: c4 h) _' R  ask turtles
8 E7 x" N4 J1 L" g# \( C: F" [    [ set grain-here 0
0 Y) d" l) m$ ]7 D* @8 }      recolor-patch ]
* j" M- Z# ]; h% N  K7 a' c, ?  
% \( T, I5 c+ x2 [4 A+ O% jend
7 }. f: ?4 D8 k6 V6 J& g/ i! a  a1 H, `: Y) D/ E9 D
to move-eat-age-die  ; E# T" A/ ^3 ]' @5 g# C9 {
  fd 1# U  ]/ t# u% d1 X% {, T' \
  set wealth (wealth - metabolism), J; T* l3 \. `3 x( o0 s) Z0 X- ^1 p
    set age (age + 1)2 Q% c- y" w) Y7 N" ]
  if (age >= life-expectancy)0 Y( C3 J4 Y& s8 x" i+ |( U1 p
    [ set-initial-turtle-vars-age ]) P; @4 Z3 E6 ]# X; l) ~* }
  if (wealth < 0)  R/ I) T8 k- B: @
    [ set-initial-turtle-vars-wealth ]
5 f. |/ O) E1 N0 m/ J5 n    9 q( o7 X# L" U" ]3 D2 \1 h- R, f
end9 ^3 \$ L: a# Z, B  w$ B
- B* B% V1 q) c2 l

6 `" S: z* l- i( i, C7 k3 `to setup-plots9 q4 C0 w5 ^% W+ i
  set-current-plot "Class Plot"
) Z, e2 M: ^/ g  set-plot-y-range 0 num-people5 q& \' \* |  D' i; R4 J
  set-current-plot "Class Histogram"$ ~7 r3 ?5 G6 k( n4 G" O  O
  set-plot-y-range 0 num-people
$ P3 ?  X! \. G$ {+ fend
0 `8 m0 Y7 U3 E* c
( O! z; s# U1 }7 K: F1 Hto update-plots. }4 ~$ K. P5 D# y/ ^4 P
  update-class-plot
; s5 \- ^  M$ q  B  update-class-histogram
" X: a) A+ k5 o5 E  update-lorenz-and-gini-plots; v5 w9 y% |/ p% H- j  c
end1 b/ ^' W! m$ q- R- L( ^# C1 o" X
# ^' {$ _% r) E8 W& _5 i7 f& @
to update-class-plot
) J/ F( T: e7 B( G( c& V  set-current-plot "Class Plot"6 i, Z2 s* e7 j
  set-current-plot-pen "low"
& }2 H! j- p6 u; h, g  u) ^0 U  plot count turtles with [color = red]. q$ L/ {+ h: o# S  y- v
  set-current-plot-pen "mid"
$ _- @- G' H) a4 I, x( E" e0 U& ~  plot count turtles with [color = yellow]' r7 x3 `. B) T5 m( \" u
  set-current-plot-pen "up"8 h$ k: o3 r5 T/ z+ G
  plot count turtles with [color = green]
, O8 R+ Y7 B' `8 Y6 H2 Iend
( T/ g% s+ H8 D- O% k& N
$ G' |- L# q2 L1 ?% Pto update-class-histogram2 w7 R9 G" Z& `6 s, ^- \
  set-current-plot "Class Histogram"
2 a, n& ]) L7 r. {  E4 ?  plot-pen-reset, B9 B" J# m# f9 k& w
  set-plot-pen-color red
9 Y/ E! v# @0 U/ c2 ^  plot count turtles with [color = red]
' H: ^  y" S( t7 O  j: g) M3 a  set-plot-pen-color yellow: G. M# Y  m' U% `2 t- }! c
  plot count turtles with [color = yellow]
0 B! ]% m% i1 O' _$ u  set-plot-pen-color green
8 w) t+ }) e2 b5 v; p: o  plot count turtles with [color = green]# R( R* l  @, q8 p5 b9 d. ?
end
# {/ r' A: Y9 S/ N5 M3 v8 I2 X  Zto update-lorenz-and-gini-plots
3 }* f! R% s; g' X  set-current-plot "Lorenz Curve"
' r9 y1 ~+ O1 Y3 b6 ^  clear-plot
5 _5 l0 U: u' `) Y7 R0 B$ A+ _5 D) K' O5 T& W# o# `# t
  set-current-plot-pen "equal"1 f" k/ q9 o5 b
  plot 0
% F# z. }# g' e  plot 1002 a' Y; |4 s* }; G

4 _$ [) B6 Q, o0 ^  set-current-plot-pen "lorenz"
$ }7 U" c( m  h" J6 B' E) p  set-plot-pen-interval 100 / num-people
, d6 c6 ^" |5 S- T! \- \& y( a! g8 Q8 ^  plot 0. i1 B: B+ v& l

1 \8 J- X5 C) K3 e$ W+ C" h' ^1 r  let sorted-wealths sort [wealth] of turtles
8 V- V( i( @# t  let total-wealth sum sorted-wealths* Z3 V  f, q/ Y0 Z
  let wealth-sum-so-far 0
3 ]9 f6 T* e: w- s  let index 0) g- L0 d7 ]. u2 b
  let gini-index-reserve 0" j* U. N$ C; q+ V/ u$ p
/ Q$ K1 M0 [: a0 A3 D# B& z
  repeat num-people [$ `- A4 h3 V2 n/ A! p; L5 l5 V
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
/ B9 r% i" a! r4 {    plot (wealth-sum-so-far / total-wealth) * 100- J2 e! ?6 C3 t9 M1 p9 b9 ?
    set index (index + 1)
7 `  T8 |5 a+ Q# F    set gini-index-reserve8 W/ F1 z4 P; ]. p3 B
      gini-index-reserve +
- B8 f* C2 q6 [2 H      (index / num-people) -/ b" s. F0 z- i0 b5 P
      (wealth-sum-so-far / total-wealth): a+ I) ]0 b  h0 R
  ]
8 m1 }5 }! d7 G0 j' h! l/ ~! M; `0 l% G4 Q2 m0 d- u- e1 W" ?: Y
  set-current-plot "Gini-Index v. Time"( }( {" E8 B1 w
  plot (gini-index-reserve / num-people) / area-of-equality-triangle# g: i, X% e1 C" }% j
end
$ a& f: ^+ l% m; K( Hto-report area-of-equality-triangle
9 R* a3 P+ u# z2 K1 ^  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)! ~0 N  F% A% M  D" N+ k
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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