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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3 F$ Q" g& W3 C& I- E
globals
/ ^( b2 L* W' g- P$ E) `/ G[1 ?4 y8 g! t+ F' s! @" o; x
  max-grain   
9 e; M9 r; j- |3 [; o; |# S# z1 |; V& m
]. Q- L. p% `" {" j% j

. {/ q# a! l( y7 U9 Z$ u) U) t. lpatches-own
7 J' r$ p  ^- V2 K7 X  w' i[
  s2 w& J8 P- N$ p" o  grain-here      * M8 N* J$ R0 M+ R  E
  max-grain-here  2 k) ?! a# s0 i: k* T- I
]
7 j: `! X& `' w; ], f$ G  |+ @' H) o5 O! ~4 j0 [: u; |7 x
turtles-own% ~7 J5 ]0 z8 f: w$ n
[2 O! d0 L/ @5 t2 g& @
  age              2 w, u! k" O2 D" j) o+ o
  wealth         
4 n* ~" I) U" R* J% l8 z  life-expectancy  ; V" U$ E/ A. m, H1 x$ K; Y
  metabolism       / s, e/ t, u& f& `" {# p9 Y0 P
  vision
2 [; F  ~9 K5 R  F9 C  inherited         
$ `$ ]5 N( ]$ o]: V  }; n  ]7 t/ W; d6 w9 Z' f

5 X) S1 I& V' J6 ^( U1 w( Y# @0 C3 {1 @7 E; j- h& B
to setup
- W6 H/ Q: `  I' q% V; D  ca  _2 d7 u) Q3 c6 H
  set max-grain 50) {2 q, _9 V, ?" t) X* O
  setup-patches, r) C0 B( `, B1 H; B2 I
  setup-turtles9 C# o. p7 \+ Q; |. m: c
  setup-plots
3 ~5 E6 u- ~4 Q" ~" Y. z8 P' \  update-plots
( W' }+ g" j% Iend+ G) m- v# ~1 u
to setup-patches
: H! w. t$ L( i9 t% N! Y6 L* ]  X+ K; j  ask patches
5 }+ z% m: k. j* W    [ set max-grain-here 0: o* b, @% W% R2 a/ ^7 G+ D
      if (random-float 100.0) <= percent-best-land8 Z2 m1 ~5 `( I
        [ set max-grain-here max-grain
3 @! o4 t( V6 g  m6 d. @/ Z7 t          set grain-here max-grain-here ] ]
' }) w' \% P0 x& k$ x" ]  repeat 5
* L9 Z1 B" J( g* O6 X) z& v    [ ask patches with [max-grain-here != 0]9 g1 C- s( b) d3 P  N) b
        [ set grain-here max-grain-here ]
4 g  O' F9 A9 N1 Q+ m7 v1 i3 n      diffuse grain-here 0.5 ]
0 h4 f  Y4 P; B3 t* o; h) w  repeat 10
1 m/ v8 _5 _4 s0 l' P' s* i6 x    [ diffuse grain-here 0.5]          7 ]" x1 O; S; ?& B2 f
  ask patches; j/ ]  c  ^+ H1 J- ^0 y
    [ set grain-here floor grain-here   
5 O$ a/ n! k4 L+ \      set max-grain-here grain-here      1 ]% P4 d% b' B' }6 o
      recolor-patch ]
2 T" N: e* ^7 hend3 a; G4 k4 |3 ~3 M
to recolor-patch  
5 a! O. _; h# [  set pcolor scale-color sky grain-here 0 max-grain7 y$ M' E! ^+ Q' B
end
- X! J2 g7 H# C; U4 Oto setup-turtles8 H& Q  j0 f3 q: o8 M& d
  set-default-shape turtles "person". }5 e  g$ h) H- c
  crt num-people: m) ]- L& x4 i, n
    [ move-to one-of patches  8 [2 H; X3 y2 I% v
      set size 1.5  ; L5 f- k, H% v# p: a) ]
      set-initial-turtle-vars-age/ Q# @; L1 d8 F  A
      set-initial-turtle-vars-wealth, V$ f/ |- M1 S( p4 P2 E6 M
      set age random life-expectancy ]# T- a) a  Q6 I$ b
  recolor-turtles
4 |/ J! }7 ?4 V8 R" J. fend
; H1 o" R" ?" @8 e4 O  g" @; U- `  l' {/ `
to set-initial-turtle-vars-age
+ b  V3 }$ b' i: }. X let max-wealth max [wealth] of turtles2 C! r' M1 Y+ }5 _( \3 f$ j
   
6 k  _. K7 G$ f: F$ }$ I     ifelse (wealth <= max-wealth / 3)7 ?- t, I5 u" V/ h6 [
        [ set color red
) I4 f7 b# p; \9 @3 C  }          set age 0
' [5 _! t* R1 _6 q$ ?( S2 j1 T& M, C) p          face one-of neighbors4
+ R) P" X4 H# A0 D; ?          set life-expectancy life-expectancy-min +7 T. k7 ]2 g) G$ I
                        random life-expectancy-max
4 P0 g0 N8 ?. J& u2 B          set metabolism random 1 + metabolism-low+ r5 U0 \8 |5 y6 P5 _& ]
          set wealth metabolism + random 30
6 W& h) I) p7 \  f& T          set vision 1 + random max-vision( ?* o5 D/ v; K& {1 P' J3 J) l
             set wealth  wealth +  Wealth-inherited-low ]
  s( \% t) \- H, E6 W        [ ifelse (wealth <= (max-wealth * 2 / 3))
# p% k! L* Q+ m2 |3 F6 d) K7 g+ K            [ set color yellow
$ i! l2 |% S9 C- o: h5 ^              set age 0% W+ J8 I/ A$ Y5 z1 V" D
              face one-of neighbors4 ; H2 R: w3 v: m
              set life-expectancy life-expectancy-min +5 \# o7 l) U! z; Q8 O) N
                        random life-expectancy-max + 1
6 k5 r6 @  F3 B% ?$ A: ^              set metabolism  1 + random metabolism-mid
! P: W0 U% |4 i% g$ {5 c              set wealth metabolism + random 303 {2 y% S  X3 M. P
              set vision 3 + random max-vision
$ `" v& |% S5 F0 g- K8 f                set wealth  wealth + Wealth-inherited-mid]- }: d+ {! m- H% O% x9 t
            [ set color green + r5 [) ~; @3 X. @; g3 O$ o
              set age 0
( Z8 s7 s1 J+ t8 |. d  y7 l% y5 ^              face one-of neighbors4
! d0 J1 P$ @9 J( ~              set life-expectancy life-expectancy-min +# J# |& }$ H. @. V5 ~. O2 R
                        random life-expectancy-max  + 2. |. E% J: g% E
              set metabolism 2 + random metabolism-up0 g" f" i( m; ^! |- P) `; ]' q
              set wealth metabolism + random 30
1 E- m9 W3 O5 t  {3 m% K              set vision 3 + random max-vision
- n9 z! w- [. F, a              set wealth  wealth + Wealth-inherited-up ] ]
/ G  X9 C' |  n7 p9 } % f  q9 Y( [9 i2 }/ @* ]: s1 d
end
* D) T( ]5 H" \$ u2 W9 Zto set-initial-turtle-vars-wealth
/ W$ j6 i8 r  z! i, T+ ^0 H let max-wealth max [wealth] of turtles
0 m4 p# f0 q3 ~8 l$ i; c          set age 0
  O4 r. a' V, @          face one-of neighbors4
) {' y: T" V$ X4 W          set life-expectancy life-expectancy-min +5 S+ _$ m/ C9 L, @4 ^2 o
                        random life-expectancy-max
$ F) E5 @" d0 W8 M          set metabolism 1 + random metabolism-up
: V* `# P  i2 o" d. y' e          set wealth metabolism + random 30) X) p: a5 L" A9 O2 a* p
          set vision 1 + random max-vision ( U, z: T" p- a
end
. V4 c# |0 R" t6 H( i% B5 Oto redistribution+ G( p9 X" o  q4 n6 I
let max-wealth max [wealth] of turtles
5 D) G* S% F7 K+ wlet min-wealth min [wealth] of turtles) K7 N8 |. t% I$ x
if (wealth <= max-wealth / 3)( f7 d$ p- ?, F( t6 F9 Q) x+ J
[set wealth  wealth + Low-income-protection ]
& B* j2 O' A& L; J! v9 ?end
: E# ]% D% ~$ b0 C/ a4 ]' ?         
3 V) s; n; l  E+ ~- w: Z' G  v  E! L. zto recolor-turtles! }8 \3 y* D7 F3 Z' @
  let max-wealth max [wealth] of turtles
! w( ?5 s8 d8 H1 c" |* Z4 ~8 M. q2 r- Z( D  ask turtles0 y2 K, h9 {1 Z( P' h
   [ ifelse (wealth <= max-wealth / 3)) {; j; s( w: P: V$ P
        [ set color red ]) k4 D, a6 O; g6 g6 |) v
        [ ifelse (wealth <= (max-wealth * 2 / 3))
+ S$ n( N3 X& B0 [8 l  n. B            [ set color yellow ]
! v  U/ F% l( t2 G4 i& r5 p            [ set color green ] ] ]; k; w4 s) p) e( C
ask turtles [ifelse show-wealth?
% e  n5 a9 _9 |    [ set label wealth ]
. ]  U  a- U) t- L6 ]    [ set label "" ]]
; j: `+ R/ _$ V7 kend# B: t% c2 i' I# k, z& z
9 Y( B- P5 X6 ?8 M: Q( D8 M1 X
to go$ j. m  \5 z0 Y" D
  ask turtles
' k2 A+ h8 y" S( r$ R    [ turn-towards-grain ]  9 P# V- d) G1 z; `  V5 @
  harvest
9 o* S8 c( V6 g& Y! j( I  ask turtles
$ c/ [( s+ Y) _3 ]    [ move-eat-age-die ]1 }7 S* C+ K- g& w# X
  recolor-turtles
+ y2 j. q, O1 {6 P  t# Y, A  if ticks mod grain-growth-interval = 0
. h0 N3 |  X: `% J2 s. I" ?7 ~$ H# z    [ ask patches [ grow-grain ] ]+ n- X+ Y) a) j6 [7 w8 h% x
   ! f/ ^0 t5 g, f5 R# c
  if ticks mod 11 = 0
6 l' S) A4 O  P0 X/ d  [ask turtles, H  r6 U) p  ?" a; p
  [ redistribution ]]# Q1 n+ e' l; ~1 ~
  if ticks mod 5 = 0. u% z% Q1 J2 s2 ]9 j
   [ask turtles4 z7 ~) e1 m  n* w) E* o7 j# a3 w
  [ visions ]]( G* f' ?! _# A9 u6 ^0 ^
  tick0 F( Y) v3 u, l! J$ _9 r# u4 h) Y* d
  update-plots8 p, ~* r: f- L) ~1 B4 J
end
. N# \6 Y# \1 Y  x4 n7 f6 pto visions
, }) B# z0 k, I1 a$ h set vision vision + 1
4 T2 }$ r5 O% q$ M( Q6 hend
6 s1 B/ L" k4 t  K9 `1 k9 I
# |# w' i& O+ Q8 O# t4 g0 p: l! |/ u. P' z, P

, W' c0 M- v  t# gto turn-towards-grain  5 g' C6 X5 o$ B4 H% u
  set heading 01 k  @2 Z5 N$ B( L5 m
  let best-direction 0
4 K- Q6 L9 v" c) P& z  let best-amount grain-ahead
5 T' G) t- C: t9 Y/ Y  set heading 90
3 K+ I: D  r2 }) ]7 l$ M2 o2 F$ `, D  if (grain-ahead > best-amount)
; a" E! n! G. g! o8 s5 d    [ set best-direction 90
, D6 U0 r+ h3 e      set best-amount grain-ahead ]
6 q) [& ]. ]  h4 S4 D  set heading 180
) Y$ D0 C: S0 x  if (grain-ahead > best-amount)9 g, W3 C1 \1 H' B
    [ set best-direction 180
" I% O( {, s+ ~: |      set best-amount grain-ahead ]
0 K! }* h( o0 [( M  set heading 270% y& R. S2 I/ \2 D7 V) n+ F- z
  if (grain-ahead > best-amount)
4 ]0 l. S! W7 E0 R' ?6 f/ a1 b& k    [ set best-direction 270
7 Q3 T1 |4 z$ j$ u- b# {, i      set best-amount grain-ahead ]3 k  D- |5 o/ V# d! o. V' X+ r- _0 E
  set heading best-direction9 [( _) U: K. R# F3 n" W5 {- Y
end
( [$ w$ n: L$ u" g# D! I5 b* F
5 H1 a% k0 v4 {9 t& l  s
/ J6 ^3 k( f+ A7 K4 W) c$ V1 sto-report grain-ahead  
" Q4 m1 t. f+ p  let total 0
; t3 r- q) F5 O0 ]) M4 k  let how-far 1
0 J2 Z: @# P* W2 f' Q6 y# E# v- J  repeat vision8 e: p5 f, @6 W- U
    [ set total total + [grain-here] of patch-ahead how-far
4 \. W+ F- N3 @' t      set how-far how-far + 1 ]
; G, p7 y, Y- F/ T" b! {  report total% i# g2 A, ]/ q( ~" ]
end& Q/ _. ?9 @* @
# o, t: K" ^5 }7 l: \$ |
to grow-grain
, i) C  \: f% _3 X* m3 b  if (grain-here < max-grain-here)! d' ]( u+ H( ~+ B8 ~: ~: s8 N' h
    [ set grain-here grain-here + num-grain-grown
9 Q4 k! E( a/ [/ R. }* X      if (grain-here > max-grain-here) 1 k  z4 P1 Q$ w5 B: x2 D2 G4 s5 I  t
        [ set grain-here max-grain-here ]! \$ i, @' L3 |+ V9 W
      recolor-patch ]  J8 O# M7 }% w6 W
end
* N2 ]9 [  H9 Ato harvest, b3 ], t: P. Y, h8 k
  ask turtles
+ L  E2 e8 ^& {& p    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
" _6 @) N( |8 y& M# ^+ J  z  ask turtles
( Y/ Z9 y  q7 O8 W' j9 u    [ set grain-here 0& r$ n  M6 N9 w( v. q! |
      recolor-patch ]
( K) q3 r3 b( Q! T( }, F4 `  , J' P3 z: ?( K7 s7 L
end
: l7 c: S/ \0 Y7 V8 [
8 F1 t. _3 ]  n! S) fto move-eat-age-die  ' l2 x* c2 v  r$ I  k& w4 U
  fd 1: C: z6 W5 k4 G  p
  set wealth (wealth - metabolism)
% T' @$ u7 k& D7 z, D  K    set age (age + 1)1 ?* b8 n/ i9 i6 q# m: a
  if (age >= life-expectancy)$ W; B; A% [4 }' k2 ?/ w6 D1 A8 d4 T
    [ set-initial-turtle-vars-age ]
  h! U" J$ |# U  if (wealth < 0)
8 G5 n0 o& C. o+ k7 @0 Q    [ set-initial-turtle-vars-wealth ]
& W1 Z7 Q" ?4 r/ l   
$ C, P; x4 u- f3 Rend* A( y! }, j% _  t

* h. t. c8 _4 Q6 _9 w8 X9 V3 r% O8 q# o: |+ t; o% x# A
to setup-plots0 |: H4 P# S- ~! g, S  m; M8 w
  set-current-plot "Class Plot"; n( l4 p7 ]6 A. B; r5 `
  set-plot-y-range 0 num-people. f7 L1 d6 o% H  W4 M# _4 ?
  set-current-plot "Class Histogram"
# S7 T& E! b2 n9 g$ W- g4 q  set-plot-y-range 0 num-people% N: w# l! I" O; [5 j
end/ I: L5 A- T/ u0 I# P- ]

. q0 ]6 t, s( J$ c: S5 fto update-plots' m+ R3 z9 _9 _( C+ ]* ~5 c
  update-class-plot+ d- [0 f1 g9 m( Y9 a
  update-class-histogram9 c1 v& _6 _, q& U
  update-lorenz-and-gini-plots5 ^  L9 R& A  ~0 X4 k8 C7 h  O' G( `. |
end
2 ?6 d" I  u5 V- x% `: x
0 n) k! Y0 r% e( W1 z- K+ Jto update-class-plot
& M0 q1 _0 [+ ]  set-current-plot "Class Plot"# F- V: Q  f7 s' x3 o& d
  set-current-plot-pen "low", p0 ~6 d5 s$ V
  plot count turtles with [color = red]6 F3 ~; _) A5 c) v8 g
  set-current-plot-pen "mid"5 P4 b4 E- o6 O) @  P" M: y: ^
  plot count turtles with [color = yellow]1 J6 Q( u& Y3 }/ N' y' q4 m$ v% @
  set-current-plot-pen "up"0 M: `, X, z0 W. p& A
  plot count turtles with [color = green]8 F" ~1 e) N' u0 o
end1 b; T- g- {6 b: u$ d) m
% L: G% C. J5 Q% M% p$ C  M
to update-class-histogram
7 g+ p  E; {9 V7 h8 |  set-current-plot "Class Histogram"
8 d! }* }' T; o- p1 P8 f, y8 B  plot-pen-reset
5 F  e* H6 a1 k, u  set-plot-pen-color red
; k. d& E. t2 O' ^; Z& f$ [1 k( v  plot count turtles with [color = red]: G6 [, o0 ?, E$ p- V
  set-plot-pen-color yellow
+ ^: J3 y; A# ~  plot count turtles with [color = yellow]  o) V# x0 S* H1 `
  set-plot-pen-color green
  \4 J- h, ^8 |7 {3 C  plot count turtles with [color = green]: N- g8 O+ u1 h* e  v: t
end
' }4 ?* x  v1 Lto update-lorenz-and-gini-plots( G! h- e5 }, r1 g3 C
  set-current-plot "Lorenz Curve"
) k; a5 L2 |: X2 v6 k  clear-plot
& I4 v* X1 y- b! X3 W3 o
1 o3 s4 q( h' q  set-current-plot-pen "equal"
; A7 g6 S) c5 J4 |  plot 0, E( |. @. _- ]+ k
  plot 100$ g8 K; ]3 g1 J0 L9 @/ v
: u- j9 ?5 S. ?1 g9 Y5 ~4 q
  set-current-plot-pen "lorenz"- \& T+ q! w" Q  S- d2 U
  set-plot-pen-interval 100 / num-people: [! |+ g5 l, \/ V
  plot 09 h) `" C6 w4 Z0 h! U; {* `

: O- v5 A' r# G- b  let sorted-wealths sort [wealth] of turtles. j& |, S' ]7 f' n' A/ e+ _
  let total-wealth sum sorted-wealths
: @: ?/ C; c* N! _$ y4 K  a" X  let wealth-sum-so-far 03 d9 U; z% y0 w/ F
  let index 0' u5 B3 v$ u! T/ N& V$ ~
  let gini-index-reserve 02 O5 S; b- X9 n2 [

  X2 \4 ]6 W5 a  repeat num-people [6 L' W& f  F7 y
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)! I0 S! ~% A- J3 F" {3 T
    plot (wealth-sum-so-far / total-wealth) * 100/ ?; i# t/ E" V. {) M
    set index (index + 1)" o: {' A& z3 h3 k/ h! x7 G
    set gini-index-reserve
! S5 T9 I. g. L6 l  |2 H1 |      gini-index-reserve +
0 R, M. X8 a2 V; @- K/ G      (index / num-people) -' _# `* z/ U; M- ~
      (wealth-sum-so-far / total-wealth)$ L" L# G* c5 Q+ O7 ?
  ]
  m" I6 O( S5 U9 U  [' s
+ S; [7 x1 O, u1 w5 H  set-current-plot "Gini-Index v. Time"
6 t* s  }. U1 Y& X  plot (gini-index-reserve / num-people) / area-of-equality-triangle; x/ ?9 n; b2 ?4 O
end
9 H, x6 v. R- p$ `  _+ q7 c# Qto-report area-of-equality-triangle
+ @3 z! `2 _5 L  s- B  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
1 v$ d$ L5 ~! _4 Aend
 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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