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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
, Y  O. C$ b9 s. p: nglobals( T( V1 V  x/ \( _" a5 Z2 D
[
3 V5 p9 |$ h: H: @  max-grain    ; f: h: y; @3 X6 A& A8 |

# h- ^9 ?# l+ D# o5 g]( h( X  {$ A$ n7 Q; }5 ^7 [

$ T0 @# H! `4 k4 }; Q4 e' Ppatches-own- m' K$ D2 d3 Q4 i/ e
[5 K$ K' G6 i1 `$ d& i
  grain-here      9 x7 F+ c8 ~. {. N, P
  max-grain-here  
* A5 d; @, B" O( J]/ J% f& O" [- x0 Z* ]

7 _- N3 O) C$ e0 ?) o8 i  P& E7 hturtles-own
9 e/ s. ?* P  f  ^. o[
4 i: Q" T( U: m) n  age              - U* @2 E  v9 [' F% U! D
  wealth         
% p1 ^; z: @! Z) z. L8 G  life-expectancy  
- R" x! V1 V1 b  metabolism       / w5 o5 q9 e) q; ?2 y2 j
  vision
4 q+ C* F# H; e( Z( U# A  inherited         
4 K& o1 T9 Q$ K9 w" O) X. y]
; f, }/ Z, {7 a$ M* k% q
4 w& Z9 R6 f+ k* Z" V1 @, ^3 Y. x/ d. ^: l) m
to setup
7 |, N5 s  l0 k# [) G! y6 ~  ca
/ t! T% w* b& @- m$ R9 ~0 v  set max-grain 50
5 A) w$ X- F5 T. Q' c2 E7 c+ k; d  setup-patches
4 R2 h1 |) ~& B( _: H' [  setup-turtles; ~' j' d9 ^" _
  setup-plots6 ?9 t3 r6 Z" [1 ?3 V. G  n
  update-plots/ T5 q5 _$ R/ @  r
end
! ~7 }: i) o. eto setup-patches
1 \, i; ]0 N: E  ask patches- u7 p# o; r5 v7 e$ p- _7 {
    [ set max-grain-here 0, v, X& ~4 X. ^9 s- `; ^# ?: O
      if (random-float 100.0) <= percent-best-land8 d0 x% K# s! f% U
        [ set max-grain-here max-grain7 h/ C7 b+ A7 D' G7 ]3 j* y
          set grain-here max-grain-here ] ]7 [, S7 r, v$ r$ J$ ]" {6 Y
  repeat 5
. Q7 ?1 m- i! O    [ ask patches with [max-grain-here != 0]
- v; e$ |6 G0 M2 c        [ set grain-here max-grain-here ]
% y3 s6 U0 i2 U8 I# n      diffuse grain-here 0.5 ]& B) P* \4 x# @, A9 g5 Y8 Y" U4 v
  repeat 107 ~8 z2 ?9 Q. F5 E$ r) F% j- w# r
    [ diffuse grain-here 0.5]         
2 Z0 g' N9 t8 @( u. ^/ H) g  ask patches
3 i& l( k: }8 n+ t# h$ d# G    [ set grain-here floor grain-here    0 G' x0 `# Y; X0 {
      set max-grain-here grain-here      
8 f) S0 M( R% W: M! z/ \/ g      recolor-patch ]2 I6 Y1 j! ^1 [& I
end
6 W4 P% t; E7 Y- e4 `$ M! g* jto recolor-patch  
: I! C1 B: H, w0 F; y3 j  set pcolor scale-color sky grain-here 0 max-grain9 U: }5 u6 Z$ m" P/ |
end
$ ~: e6 c' o) r3 W: m$ lto setup-turtles
: h$ [' c2 h" ?( |" e  K3 E  set-default-shape turtles "person"
0 G7 w' o% {4 C7 q, z  crt num-people
3 {, @# w+ l$ L$ U7 z    [ move-to one-of patches  ) s( @  U2 o/ l: A' f) `9 l
      set size 1.5  
8 \$ T& x! |4 Z. k7 E' f( t9 }  R8 r2 `      set-initial-turtle-vars-age
. O6 X% V7 Q% c  X      set-initial-turtle-vars-wealth
9 y7 j0 \! s3 B; C% L      set age random life-expectancy ]
" N; H& X4 ?+ a" V/ y0 C7 B6 ]; ?% g" v  recolor-turtles& D# `, ~% o% {5 e7 ]- @
end
% v, {% G7 _1 v# |
- Y* L: l! V1 s/ jto set-initial-turtle-vars-age9 M+ x6 t2 {* P; q2 g
let max-wealth max [wealth] of turtles
. F/ ]% `. k/ p8 g6 U' ?: r7 A( g9 M   
4 c3 h; F/ ?  L/ y& y* u     ifelse (wealth <= max-wealth / 3)
/ T9 V) i1 l- n: |        [ set color red 1 l$ J) q1 S$ }
          set age 0
# ]7 G0 n3 O  n) ]  g8 i          face one-of neighbors4 7 d4 `- R* S) F9 p
          set life-expectancy life-expectancy-min +
- D  O5 G* x* g                        random life-expectancy-max
; V; C: m6 k( P9 M3 D3 N& ?          set metabolism random 1 + metabolism-low) h; R% x+ X+ e0 Q: ?
          set wealth metabolism + random 308 s1 ^( v/ y2 @) n
          set vision 1 + random max-vision
4 P& |- m  O4 I1 D8 v             set wealth  wealth +  Wealth-inherited-low ]
7 _: E: v5 ^; {: S4 _        [ ifelse (wealth <= (max-wealth * 2 / 3))
" P/ \0 e' P6 j+ J* A& e, g; {            [ set color yellow
3 R; H, s% T$ y3 S& q& Q7 e              set age 0
: B( ]; k" k# w1 i' p              face one-of neighbors4 6 C5 D/ v  q4 s5 Z
              set life-expectancy life-expectancy-min +
5 E" c" {- h( y) t9 e9 m                        random life-expectancy-max + 1: R( c/ ~' p6 k, |! b+ N  E
              set metabolism  1 + random metabolism-mid) x4 [1 {0 w$ Z
              set wealth metabolism + random 30
: h9 z3 }5 m. M: C              set vision 3 + random max-vision+ O- B+ d& D+ F* x* c
                set wealth  wealth + Wealth-inherited-mid]
' p8 l# Q9 C4 G& q7 o) c: K            [ set color green & V, ~# n& j( K1 V( U
              set age 06 i3 [/ x  D4 r  O7 G
              face one-of neighbors4
- F" k5 N; l5 [: n7 A" ?              set life-expectancy life-expectancy-min +
; @4 g) O- p$ ~* Z                        random life-expectancy-max  + 2
+ b- J, ^; k% f2 x- I              set metabolism 2 + random metabolism-up4 K+ Q. v6 ~9 \
              set wealth metabolism + random 30
3 i5 g. Y5 v7 i& N1 J- I              set vision 3 + random max-vision% u% }. H- a  P( m* C) X5 u+ \
              set wealth  wealth + Wealth-inherited-up ] ] 4 z* C% `( y  I8 Y

5 ~  v" i- D5 }# ?$ @end
. _2 T% D! K& ^3 h* W7 yto set-initial-turtle-vars-wealth
# G* S' K( O/ S: f# x# j, L let max-wealth max [wealth] of turtles! X, i: y4 r( R- W& v( t1 H
          set age 07 }2 R* }! [" {7 {4 K0 B) w# ?
          face one-of neighbors4
% ?9 f7 C+ E4 b0 w1 h          set life-expectancy life-expectancy-min +
/ [6 o+ y' B4 ?" D5 b% N                        random life-expectancy-max
- X! v- v" Q+ e0 j: U. X          set metabolism 1 + random metabolism-up
+ ^: d1 u" [+ K          set wealth metabolism + random 30
. ~+ v6 S6 k3 J( C          set vision 1 + random max-vision ( {( a6 d, V( m
end/ Y& t4 q" C; t7 d$ l
to redistribution) T% I5 k4 s+ O# G* {9 d$ M
let max-wealth max [wealth] of turtles+ Z4 Z% {$ ~  W8 u8 Y  L
let min-wealth min [wealth] of turtles- q9 J- i. e5 ?) k& k3 o
if (wealth <= max-wealth / 3)
. j; h$ V, [5 F/ k1 r [set wealth  wealth + Low-income-protection ]
$ V9 J7 x5 B. q; S# Hend, X1 U" y* V0 J" ^! W
         
/ e9 d# f3 e& e- h" Zto recolor-turtles4 J( r5 N6 V1 u  H! ^5 K
  let max-wealth max [wealth] of turtles; @; v, ^" j1 Q% ]: _5 R+ c; w
  ask turtles5 t) h- n* i% G0 ^( a3 M
   [ ifelse (wealth <= max-wealth / 3)8 U9 I! J6 O  `7 g% |8 R: z
        [ set color red ]
! Q: G4 E! e6 B5 G4 Y4 m/ W        [ ifelse (wealth <= (max-wealth * 2 / 3))+ T. D) G3 P" U, P
            [ set color yellow ]
, K% M4 ^! f5 U3 A! P5 n8 f            [ set color green ] ] ]$ G- Z" d: x+ u  C, {' x1 ~
ask turtles [ifelse show-wealth?
* a. i3 [! k; B0 D1 v" k9 D    [ set label wealth ]. C4 Q  p5 i2 |# r& v
    [ set label "" ]]
) H, M+ d5 r, }. ^& L0 x! ]end
) B  c) q( S- t9 e* J4 r% C' l# D0 q8 s/ M1 F* \8 N
to go( }# _' w1 o. e6 `3 S
  ask turtles8 E( i& V1 F* N$ ~! B6 b
    [ turn-towards-grain ]  
) M: f. i& I% y! ~0 D& w  harvest
+ r) f! B& U  G  ask turtles
/ S" a7 M/ ]  f3 ?  ^    [ move-eat-age-die ]
7 G1 M" ~. |* u, M  recolor-turtles3 W: R# v: ~, o. A
  if ticks mod grain-growth-interval = 0
/ h& T! z/ Y! N/ s/ a9 x    [ ask patches [ grow-grain ] ]0 j/ s4 t& K5 w+ {) [
   2 T/ o8 L! [7 y
  if ticks mod 11 = 0; j" v( C, R/ M% L
  [ask turtles$ L% j& \0 }& g
  [ redistribution ]]& r* X2 o8 G0 ~1 D; |3 n7 R3 N
  if ticks mod 5 = 0
( f) n0 R! Q  Z  Q: O% Q% U   [ask turtles# X! k+ \% F# V8 q" }! J3 k
  [ visions ]]
: |+ ?  H" c, H( u. M6 ~  tick
- `9 u" ~* H) f% U2 J  update-plots7 b4 Z1 O9 p1 @: g/ O  O7 o
end5 a) `$ z# K' O4 H+ e+ A" P
to visions
6 j: a( O" ]) U set vision vision + 1
( k9 z) E7 O) P7 a3 uend
5 k# E& y7 H! m: |' t, P$ s* v' y

0 k; W. V' ?! s6 Z8 M2 C
8 I# ~0 n$ `$ Q9 t& f, ~; F7 ^) zto turn-towards-grain  5 }- C2 o; \3 c4 p/ O# _
  set heading 0
7 Q; @9 G* {5 y, w6 `  ]  let best-direction 0
- C, n+ w! T. Y- `  R" [. s  let best-amount grain-ahead" n; O5 i: Y$ W3 j
  set heading 90
4 t5 J" }- E6 ^: a  if (grain-ahead > best-amount)
  A9 n! J6 J2 E8 ~: d; Q    [ set best-direction 90
( [3 z7 L) X* G) [3 I      set best-amount grain-ahead ]- ^8 [* G5 S& U1 k
  set heading 180
! [* O, O/ N4 c+ `( P  if (grain-ahead > best-amount)
  p& W2 q! H. l, U) {* y( }    [ set best-direction 180  a2 e& v% b6 v$ w% s* J4 `( }
      set best-amount grain-ahead ]: |5 O. I! E. N% h
  set heading 2708 b- t: l3 Z$ d. |9 |% ]# x
  if (grain-ahead > best-amount), B1 v0 s5 Q- b; E7 W+ }
    [ set best-direction 2703 Q6 T# g( Q9 b* _" X1 \3 i4 U: `. e
      set best-amount grain-ahead ]
0 _) y3 y3 r9 X2 X  set heading best-direction8 N- R0 Y4 |4 z" n7 E6 }
end& l; Q% ?3 L* n! |

) [" c8 N4 [# \% y& b  L1 F1 o! p8 K. ~3 K
to-report grain-ahead  
( T4 j: Q" Q) X. C" `; i: ?  let total 0
, C; M6 H( h/ z  let how-far 17 P/ B, C: _1 q+ n
  repeat vision7 I' Z! ?/ U3 Z1 P$ h) Y0 G
    [ set total total + [grain-here] of patch-ahead how-far4 V' z7 N6 i. w9 ^" |
      set how-far how-far + 1 ]8 v! L. e  S- Q: W7 F
  report total& E- I$ _9 [& P0 }& Y3 B7 S1 V& A$ i
end
" H9 `8 p9 ]- [9 B$ g1 _5 A$ T6 M! q7 n8 e) t
to grow-grain # L5 ^% J- V  w2 v- i0 U
  if (grain-here < max-grain-here)
. T3 I0 |9 k! e- u( ~  {2 |    [ set grain-here grain-here + num-grain-grown) a9 j9 }; F# s; M; W& q. o2 P
      if (grain-here > max-grain-here)
: Z- g# `" j/ m        [ set grain-here max-grain-here ]
7 s* \! G, S7 t  t" _; i" H      recolor-patch ]
; Y7 ^' l! Q! V+ y8 X  qend
- K8 Q/ h9 {8 G4 \0 e5 Nto harvest" s# U# l% \$ |& e5 p2 S
  ask turtles
9 Z! k. v9 j3 D: p( u. n& I: W    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
" P! t# Z; z% `3 n6 e, o7 g  ask turtles
2 _3 X5 X: J7 D( Q% ?    [ set grain-here 03 j* ]$ @& T. G1 \
      recolor-patch ]( A4 M/ b& \8 e( F* _5 C
  
4 E# p- a. {! \9 Q. D1 }) R: m/ U" Send) \% c+ u, y& F5 p
3 L* R  U2 `" d/ u0 J, t9 b) J$ J* x
to move-eat-age-die  # d+ r9 ?& P0 ?( z6 Z
  fd 1
& L8 F4 M. t, R5 {% T  F  set wealth (wealth - metabolism)
4 T2 L: [5 L% a( S2 u: R    set age (age + 1)3 l$ v9 X+ L. L
  if (age >= life-expectancy)
0 y' o2 y' G6 c& ?8 q& [    [ set-initial-turtle-vars-age ], y, K2 e/ T0 ?: n; O( E
  if (wealth < 0)
, p, h7 P! S, {% d/ ^9 ?$ J    [ set-initial-turtle-vars-wealth ]
: [% {  d; H9 z9 S  j    4 R3 d6 Z. j, p3 |
end" Z+ M  e, Y: ?7 n! T
' m! Q; h3 \# |3 W# I3 e
% a3 V. Z1 Q8 H- w4 ], [! A
to setup-plots4 s. l0 j, d) d1 ]' T7 {2 M" D7 `
  set-current-plot "Class Plot"% r3 K% \- Y9 d& [( d
  set-plot-y-range 0 num-people
7 `  N- Z* S! E2 L4 X% B% e: N! b  set-current-plot "Class Histogram"
7 J9 p$ I: G5 r0 T$ K, L& q# B9 H  set-plot-y-range 0 num-people
% r4 |8 o5 p3 \* Y2 gend/ j) k2 X% W- ^) ^
  ^3 ~% f1 E  d0 n$ w
to update-plots& Y: O2 `: ~' H* [: m+ @% u
  update-class-plot; b  D- a( u) B6 f# B7 n
  update-class-histogram
. f9 V3 C: L3 q5 X2 e  update-lorenz-and-gini-plots
: m! V% k6 o: J: F5 l! B; }end+ P$ D$ r: e0 L4 B
* O% y% d, A3 H$ P( e$ h( N: [
to update-class-plot+ y9 u  q+ H; H# j
  set-current-plot "Class Plot"
1 Z( _; Y6 U& t4 _, q7 ^  set-current-plot-pen "low"( L$ R4 h4 _# A. h' C! N& Q; L! M
  plot count turtles with [color = red]
! T! ]2 T3 Q7 r# b( L4 \  set-current-plot-pen "mid"8 I- n& l: c$ x" H# h% i9 a
  plot count turtles with [color = yellow]
0 Z5 s+ ^' W9 q. Q! ?! S; ]  set-current-plot-pen "up"
, Q9 e- C) S- |  plot count turtles with [color = green]# }- N: c1 L- }! T% K7 x
end
1 ^: _% J' Q# L. [! F+ E. P
" N. h7 J& b+ @( e5 Eto update-class-histogram
% ?$ G1 k6 t) z  set-current-plot "Class Histogram"
4 l& ~7 q; T+ Z  V9 g  plot-pen-reset
% Z1 A& l: J3 @2 Z1 ~% K* K& g  set-plot-pen-color red" K% Y. I5 L7 f% g
  plot count turtles with [color = red]
: D* o- x& K& i  set-plot-pen-color yellow
5 B+ ]* n3 @& l' K( u  plot count turtles with [color = yellow]
" E& g3 Y# Y- a( m# P2 e9 D  set-plot-pen-color green* `# r. d# W$ X2 _  {2 N# j
  plot count turtles with [color = green]
8 A5 i0 b9 H9 q" d* P$ uend8 k. H8 k+ B' W) s) r5 m+ {2 m2 _
to update-lorenz-and-gini-plots
" ]' g9 u% t; ~: q9 f  set-current-plot "Lorenz Curve"
6 f( a6 J7 T& D/ g$ J  clear-plot
: W( p# ]# D. N2 k: ^7 ~% u+ p, O
  set-current-plot-pen "equal"7 I0 t9 M+ g- l
  plot 0
; b, j$ J# ~) o+ Q' N  plot 1009 s5 Z* ?7 ]$ j" Y

- }9 ]( t8 l7 Z& Z. u) c  set-current-plot-pen "lorenz"
% d5 w& Y/ Y5 |/ a# s  set-plot-pen-interval 100 / num-people  h- @' r. I( Z. h
  plot 0
) V, S4 L" E0 j5 w( e6 E* d
' K/ c$ I( V9 O1 ?  W8 Z, W4 V7 Y  let sorted-wealths sort [wealth] of turtles# W" z4 a5 q- \" E/ P. F
  let total-wealth sum sorted-wealths
5 E9 b2 Z& H- P3 p* L  let wealth-sum-so-far 0% h# w# O/ S: I% r
  let index 06 b; g, ~; D8 O/ P
  let gini-index-reserve 0
' p( S4 G# K" {: r: v
( E! t; u6 h' y( u4 V: c2 H  repeat num-people [  r: O5 B! v. w
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
0 }; Q4 W+ n6 O5 ~/ I    plot (wealth-sum-so-far / total-wealth) * 100  T/ w% e1 c7 u1 z$ W9 [
    set index (index + 1)
% {3 e* e. f3 G" ]0 d' o! ]- w    set gini-index-reserve1 {# [% ]# w1 A# b  O) g' I8 `
      gini-index-reserve +
; e: P; |4 ^; ?2 a( _# A( e  v      (index / num-people) -$ _2 R( O+ [7 a& I. ]2 R+ m
      (wealth-sum-so-far / total-wealth)' B4 `9 h" S% y1 L& P
  ]
0 v: ~$ P5 F8 S( u2 g9 c# E/ w; M/ \! ]. K
  set-current-plot "Gini-Index v. Time"
9 C- E5 [4 J) H( o& ~2 f! O/ N  plot (gini-index-reserve / num-people) / area-of-equality-triangle6 q# {5 i! X; ^) u! F
end( x6 i$ }# {+ \8 [3 }: c+ ]3 |
to-report area-of-equality-triangle
3 K, I( K4 n9 {$ L5 J, `  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
. Z* L& [- j& i/ a: [  Mend
 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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