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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
% z4 c" s' j. P) j' p0 R2 Hglobals
/ {  }1 U0 q. S+ W6 E3 L- g9 U5 ?8 d/ I[
' R  E: K4 V7 v' |! @  max-grain   
& k8 o& e$ c+ `/ u; |: a, R* T( Q4 v# w* p
]
2 A; I8 w$ ?( ]. j; m; I: Z) u. d$ a
patches-own9 b# X4 G, f3 N0 p5 y
[
1 H  W" K5 }9 O5 j  grain-here      
4 S& g- O" o" F4 D. A3 i  max-grain-here  ( Y. L- W( Q8 o( E0 O3 P
]
. d: T3 X. K% A8 K
3 D2 a7 U' j. @, s& X+ tturtles-own
. O$ c4 X: p. s5 x0 j- ]* |! A% o[5 U) X2 ~% p7 d
  age              
# ?7 C( _; P- u0 k! r  W  wealth         8 p. p2 e1 _& @$ U3 e: ~5 r
  life-expectancy  
. h! I5 ^" L( n( V  metabolism      
/ }1 _9 L: Y! B& P; }0 q2 ^8 r  vision* [7 v: K6 {' x  P& F5 L
  inherited         3 G+ o- d- A7 N! L6 \
]
. x  L( f& e$ R# f( k
9 Z1 T" j% ], K: @: a1 c5 e: ^$ V0 i* ?* N* `
to setup
. Z8 k. c5 W9 `" B8 i# T4 S  ca
+ h9 K6 A' b8 p  set max-grain 50' V' b- S& ?. Q5 p2 T
  setup-patches/ E2 i/ W. b) w' _
  setup-turtles. V( f& h* d8 @7 g# F
  setup-plots& i; H- a2 V: [4 A6 f4 w( A) z
  update-plots
+ P% q+ F1 ], t# Oend9 m0 m4 i' |% @& T7 `
to setup-patches
( V4 V: ]; _" @& p9 _* x- z  y  ask patches4 ^) V- |) f9 V+ C+ w1 n
    [ set max-grain-here 0
! A2 d% M" A$ p8 v      if (random-float 100.0) <= percent-best-land
7 h1 V) u+ N2 ~1 i0 E. v        [ set max-grain-here max-grain- ]2 p8 ~7 X) A2 t+ Y
          set grain-here max-grain-here ] ]
) ]* I  l. y5 p  repeat 5+ T% l* }) f" f, W) \3 P
    [ ask patches with [max-grain-here != 0]
, Z+ k. Q5 k' ~$ q: h- e: ^5 j6 m0 E  T& U        [ set grain-here max-grain-here ]8 K  I* ^/ |. `' `6 J. E( Z4 d: ?
      diffuse grain-here 0.5 ]
6 E) H$ f- [1 q* @  repeat 10% k$ j( p3 _& u6 S% u
    [ diffuse grain-here 0.5]         
$ r% c, l9 r. |# Q$ _  ask patches
9 T9 y. A8 U! @0 I4 s0 X    [ set grain-here floor grain-here   
4 j2 q8 @- L8 U3 W4 [6 U' ]. ]      set max-grain-here grain-here      0 ^- ~( U- D1 ~) }. X9 i0 W" y
      recolor-patch ]8 {) G6 {& z/ J4 h- l
end' w3 X& W$ C- Q. E: x  i9 f
to recolor-patch  
/ l- n2 k8 R3 m* N8 i/ }  set pcolor scale-color sky grain-here 0 max-grain
  A0 P: K# ^' K. K) dend
) A5 J6 Q5 |3 G6 l# T9 Oto setup-turtles  [2 D+ r) n  ^4 w
  set-default-shape turtles "person"& _' E$ P  h8 I! b% c  [1 G
  crt num-people1 @% |6 B  D. v7 {  h
    [ move-to one-of patches  
& N) K0 ~' m6 Z% J" X& P( X# I      set size 1.5  ) g  L4 a0 l1 E- T, _) d3 d
      set-initial-turtle-vars-age
0 K0 S8 r5 g8 q- N  c* c! s! d5 a      set-initial-turtle-vars-wealth
! D/ P* k! ]! ?& g      set age random life-expectancy ]; W% t# o  d9 S* A% t( }
  recolor-turtles
  A! e( r/ s6 R) Z( i4 @: C3 B5 Rend
% q9 g, r" z" j7 }# g8 y4 J; k0 b0 |3 r
to set-initial-turtle-vars-age" H; t; X& E8 ]2 b7 ~
let max-wealth max [wealth] of turtles8 y" h( i6 e& N4 S6 p
   
, d1 @5 {4 ^( D" a, I& }     ifelse (wealth <= max-wealth / 3)
; d$ K( n. H& V7 q4 h( V        [ set color red % [% g% x( N" y. ]3 I7 o; b
          set age 0' U0 p, [/ J6 H7 h. r
          face one-of neighbors4
9 {/ e% _$ L0 C          set life-expectancy life-expectancy-min +
( H2 a# Q) h. z: F+ E7 p                        random life-expectancy-max
) z, s9 q  i: ]. u- ]+ ^- h          set metabolism random 1 + metabolism-low2 h3 ^. m/ k/ H  o8 R4 k
          set wealth metabolism + random 30  L& c" j2 t& L& M3 n" X. O
          set vision 1 + random max-vision
! X1 b0 P9 Q! y* G+ f( r8 e. U             set wealth  wealth +  Wealth-inherited-low ]7 U8 ~- M( N& F. I. M) g4 N9 H0 c
        [ ifelse (wealth <= (max-wealth * 2 / 3))
* f, ]5 a- G% Q! r            [ set color yellow # _) g3 M/ P. ~9 `9 v
              set age 0
1 \( F! W! ^  i, ^5 Y              face one-of neighbors4 . S" }' x8 O( u" |% m8 v
              set life-expectancy life-expectancy-min +
" D3 g$ a6 W5 _* `2 P# C2 Z                        random life-expectancy-max + 1- F+ k- N8 q) d- [+ S
              set metabolism  1 + random metabolism-mid
( I8 T% l& J" q( U0 l- {$ ]4 _              set wealth metabolism + random 30+ l, W3 x, i% q  I/ R
              set vision 3 + random max-vision
' ~; g. g! i5 n% P                set wealth  wealth + Wealth-inherited-mid]$ r( e7 F  ?/ ^3 r2 `
            [ set color green 6 `8 u. A+ D8 g$ L- j
              set age 0) Z: d* k& O- ~
              face one-of neighbors4 0 e; G( G3 K. `0 x! R  A# G
              set life-expectancy life-expectancy-min +
4 Z, \& H! |" Y0 g& R3 y                        random life-expectancy-max  + 21 H5 n) w" |0 y& p
              set metabolism 2 + random metabolism-up
+ _" ?) q. R+ B  [              set wealth metabolism + random 30
) O& |" |% H' t3 \' @1 _, Y              set vision 3 + random max-vision( B1 R- r5 i" _  D! y- ~9 j7 c6 j% t: K
              set wealth  wealth + Wealth-inherited-up ] ] + e1 |' h8 G( @: f1 J9 _  L

1 \; v' o9 Z7 T7 mend7 g4 g8 \$ c! x4 G
to set-initial-turtle-vars-wealth0 X9 ?' N  d5 ^* D
let max-wealth max [wealth] of turtles3 s4 g8 w: e0 ?. ^, ~0 Z. n- P
          set age 0
4 ?2 @& m5 k% e( i' k# }1 E# C          face one-of neighbors4 # `% M9 u$ w3 T7 x9 u! F
          set life-expectancy life-expectancy-min +
0 [) F! `4 a9 A& W9 s8 a! P                        random life-expectancy-max
+ g! _4 ~% a' s) T  T3 T4 l          set metabolism 1 + random metabolism-up
8 X: e, A: \6 O! M. q6 i, [9 |2 N          set wealth metabolism + random 30
/ b" r  I6 ?" j          set vision 1 + random max-vision % S9 o5 l$ t5 p2 F. t5 s' ~. I
end
4 ^" [9 x* j6 Z0 ]7 u  jto redistribution
; ?2 V" X( G4 l. w5 plet max-wealth max [wealth] of turtles/ v( a0 W! a8 G, i- g3 |. q% l
let min-wealth min [wealth] of turtles* O: D  L  q) l1 Y( n' E8 L! u
if (wealth <= max-wealth / 3)
( u9 U# v1 M: c( F' d" I; v$ U [set wealth  wealth + Low-income-protection ]
* ]8 ^( L. C5 A9 B' Q4 wend
5 W& g7 m7 h  t) E         
3 t3 w# L- Q- T0 Zto recolor-turtles8 K2 h; i0 a/ w, q) Y
  let max-wealth max [wealth] of turtles4 E5 {2 k5 v5 t0 z' ~
  ask turtles+ j. s: E& |' }2 x& k
   [ ifelse (wealth <= max-wealth / 3)
. o, u9 G# D. B1 C; u        [ set color red ]
! z+ z7 T6 b/ S9 C$ I        [ ifelse (wealth <= (max-wealth * 2 / 3))9 D- y8 j' @* S& n
            [ set color yellow ]
; e# k' O; o  {2 }            [ set color green ] ] ]3 C$ e8 Y4 x" y+ E; J0 i
ask turtles [ifelse show-wealth?+ W! k3 h- a* @" L8 s
    [ set label wealth ]
4 A9 c3 V4 B5 ~' }% b$ y2 j! W) @    [ set label "" ]]
& C/ _8 l" z$ ?! J2 |end
  v9 u! M" d: s5 O1 j
- L. I( T8 M7 u" W8 V2 Vto go
5 M/ D1 Z. @% Y) _  ask turtles
2 |$ v) r. U: w* _) L* |    [ turn-towards-grain ]  
4 k) o2 l' g( ^9 n0 W, R  harvest8 g5 E" }1 S5 o3 P* R
  ask turtles1 G0 G/ g5 k: j3 Y8 _. m
    [ move-eat-age-die ]7 C+ s% d3 e* r3 l5 M
  recolor-turtles' W; |$ v' o3 u
  if ticks mod grain-growth-interval = 08 Q8 W/ }5 Q1 Y2 V
    [ ask patches [ grow-grain ] ]  }$ Y. g# u9 |( D- S4 w6 Q
   2 i0 A+ t+ O8 c* X- s
  if ticks mod 11 = 0
+ X' h9 w/ J( S9 f  [ask turtles
% }& [' R. ^/ _9 G/ ?  [ redistribution ]]
  q, S" N! I3 X4 W* D1 M# _  if ticks mod 5 = 0
9 I, [3 `: ^0 k, E7 K   [ask turtles
/ ?; |. k7 n- k  [ visions ]]& |6 Q/ a9 Y' G0 T  F1 F
  tick' r4 r# J7 V) s5 ?& L3 l8 g
  update-plots
( b7 s* e  X/ Z& M8 R, Y1 Mend
  z2 W! Q" X& W5 z  z. A- |9 y8 Qto visions8 S+ b  e# K5 y4 P3 y5 B
set vision vision + 1
( c0 C7 n. g$ h* q7 V" m2 cend
. d" }/ f6 H8 n/ c! \2 L) k; p( w# c, u! _. e; k0 ?6 Q* d
3 E' R2 O/ G3 S. e! ]$ I0 P# i
8 ^9 \- h5 q. C2 p2 H2 h0 i4 ]' U" \
to turn-towards-grain  , B2 m& j4 E6 D: W% \
  set heading 0  V9 n2 N1 C" ~- `3 G$ ?  ]/ N' Z
  let best-direction 0
6 ?6 S4 Y5 G7 h& U& D# }  let best-amount grain-ahead, K0 o6 Q6 j; [* M
  set heading 90
) ]; v2 d1 Y( F  if (grain-ahead > best-amount)
0 }- R, Q# R3 r6 i( w    [ set best-direction 90
4 w: p5 |2 r, Y% V      set best-amount grain-ahead ]$ g% p8 D0 Q7 p8 q' y0 W+ p9 h0 b
  set heading 180  V# Z3 V6 w# s* ~1 Q4 l/ {2 p4 ^
  if (grain-ahead > best-amount)9 F4 @! J1 T  h. e
    [ set best-direction 180% t+ i: U7 \, W7 L8 e. q) W8 k: O
      set best-amount grain-ahead ]( h# S7 k( t# C
  set heading 270
6 w" ~+ \5 d2 Y/ J: M) b  if (grain-ahead > best-amount)
% ]# m% b% j7 j& N9 X5 E6 f    [ set best-direction 2703 C* K6 x3 O( U' A+ ^5 j+ i
      set best-amount grain-ahead ]3 ]1 J, ~) Q2 B( K' O! I0 i; {* e
  set heading best-direction, R7 ^6 ^( x5 h6 V
end
% n( |! V* \+ E6 Q+ k- E
, p, b5 X7 o! L/ }" i( Q9 }. ^' t$ d* j8 G' w. F! [
to-report grain-ahead  - y8 P1 I/ m% P9 [1 C2 T, c! \
  let total 0$ h: U' H: K% N0 d/ e& V
  let how-far 1
6 ^7 b" l5 D0 ?  repeat vision
* V3 Y$ `  a2 ~( A    [ set total total + [grain-here] of patch-ahead how-far
7 a- d: F; x8 s( j/ _; _# e( ]% _      set how-far how-far + 1 ]
* Q) _" r1 a- I9 p  report total
! N+ b% J- \$ Q% e" J, mend, C3 z9 j# l+ Y8 C$ T& J: U, \4 o

! R) V5 a* x" P2 Eto grow-grain # K% @( f" J5 n6 _
  if (grain-here < max-grain-here)) W( o" v2 \6 F1 A( ~
    [ set grain-here grain-here + num-grain-grown1 q0 I0 A1 s" H' A
      if (grain-here > max-grain-here) 6 E8 a( \4 G7 I# f
        [ set grain-here max-grain-here ]2 v% c4 x7 {8 r) m
      recolor-patch ]
3 z' s2 V, e, Y1 ]5 e/ Zend
: Z+ i( c/ [/ j, B/ d3 Gto harvest
1 v; i& g2 H) V% _# R/ N  ask turtles9 O6 }1 U3 f* [. x* r
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]# K8 h& a& r5 g, q
  ask turtles
/ v3 J, L3 p: J! ]* q) D0 q8 c    [ set grain-here 05 {# w; v0 n- @& b( x
      recolor-patch ]
' r- W: v" x8 }" g/ L  
- v+ q2 b# ]5 T9 y. dend
, v  g* K( y+ V5 u" k9 V- S+ R/ R- V7 V0 J2 u% O  l
to move-eat-age-die  
8 L0 b# @7 f0 M# E% {: u- O  fd 12 D7 d& r; u% a5 Y+ T8 U( a8 ^
  set wealth (wealth - metabolism)9 {5 S, [7 S6 t; K' f5 B8 V
    set age (age + 1)
% D5 L$ G6 S  s; `' M. w3 ]  if (age >= life-expectancy)7 R2 N1 v7 r' F" g; M3 o0 V2 Y& V5 Q
    [ set-initial-turtle-vars-age ]" i5 R" |( o. K0 R- U
  if (wealth < 0)
( Y2 J+ e0 W/ U/ F7 Q& b3 N: d    [ set-initial-turtle-vars-wealth ]
) g7 U: ~. C& y: }3 H( Q* B# I    4 |2 @3 z8 E& A; v& l% c6 H. y
end7 P6 V; _0 \8 j$ X3 [1 v
9 Q. x/ A1 p3 n9 ]& o9 U2 v

! Z% e9 F7 w" X8 Z* S; s) mto setup-plots
+ A2 ~% k+ T8 n6 u- m  set-current-plot "Class Plot"
6 Z) H) L& Y% K( i4 ~  set-plot-y-range 0 num-people
. k! W. y' n) P/ N& _  set-current-plot "Class Histogram"0 C' O3 w* S6 u4 j% x4 D
  set-plot-y-range 0 num-people3 J6 z& x$ O: q
end& n. I1 p" H3 g, b, |

, x" G2 u! v% L& I+ Fto update-plots) F. f# f( s9 g8 d
  update-class-plot; K$ j! ^) V& G9 z0 l' V, I
  update-class-histogram
( g% q8 d. ^" A6 i# I# Y  update-lorenz-and-gini-plots
9 }" h# y, U6 t, n; X* [end- r& R8 T8 j! r1 g6 p3 O* z  c

8 y3 n# g; u7 R$ \to update-class-plot
6 X; D4 w% |# b% g: \( a1 C9 i  set-current-plot "Class Plot"5 C. l& [1 {& j* C- S/ b) Y
  set-current-plot-pen "low"- D/ w4 g4 a7 a8 \% f& u# i- U8 A
  plot count turtles with [color = red]- w4 O% }6 E/ F: j' L
  set-current-plot-pen "mid"
6 s% V! [: T3 q' G" Q0 A  plot count turtles with [color = yellow]
( r9 T6 m* N9 i' X9 K2 s4 I! `  set-current-plot-pen "up"$ N' q# s$ a, f
  plot count turtles with [color = green]
8 v- k+ V+ A3 T. @: k2 [# {9 ~8 |end; F3 G4 U8 U' C) p; R5 x7 T3 k

/ L. v0 b0 J5 [  E, Ato update-class-histogram# t. c( ]& S1 @  |' ], @3 c7 v
  set-current-plot "Class Histogram"
% }: n" `7 J1 i) [7 I8 j9 ^0 p, K: e  plot-pen-reset
- R4 J$ d* R$ J+ G1 D' H  set-plot-pen-color red
- M) J7 P4 w) p/ V- Z  plot count turtles with [color = red]
( S& E4 D: G5 b$ X% A  set-plot-pen-color yellow8 B5 h7 P4 `/ _, D% e; q, f, D- C3 k
  plot count turtles with [color = yellow]
% K# t' ?1 F, X; X7 _/ w' w  set-plot-pen-color green" g/ j# a" R- f9 j% Y
  plot count turtles with [color = green]
: ?9 i' V6 P/ l. [) T) Zend
. q# m# _3 w& G) ]to update-lorenz-and-gini-plots- ~5 O2 ]2 X7 c2 S! Z
  set-current-plot "Lorenz Curve"
( [/ P7 M$ Z3 ]( \# a  clear-plot. }% w1 n2 V- ?5 v! o- e

, X+ }6 O2 |$ v& }2 Z* P! z5 P4 h  set-current-plot-pen "equal"
, V0 e+ g4 K' n- |+ H  plot 0
7 C' v2 y6 b/ [2 v9 B6 _  plot 100
! f! V) H/ x& x  w: b3 l, R$ H+ `5 G( C% v' G) u
  set-current-plot-pen "lorenz"
/ {7 C  ^5 F6 i1 g, |( u8 o) z  set-plot-pen-interval 100 / num-people" R' W" I6 V$ i
  plot 0( W1 F3 X0 `& r) ?
) i+ ~) x) e9 R5 D& N$ }+ V& v
  let sorted-wealths sort [wealth] of turtles. |) R2 j3 o# _" x( T( E# r" K% b
  let total-wealth sum sorted-wealths- L7 B+ b; P5 ^0 f) D# D5 F
  let wealth-sum-so-far 0. R# Z, O9 x1 v. t; @
  let index 0% K/ C2 R. e& t. q2 F
  let gini-index-reserve 0) r5 o' c4 B8 C. P3 m) p2 S! K  A' l

, R0 F7 u2 n' F6 t/ X  repeat num-people [0 {# q% j& a. |' O
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)" b8 n( U6 Y+ X2 M7 t/ B' F
    plot (wealth-sum-so-far / total-wealth) * 100
: u# I1 i* M5 M/ g# i6 p3 [    set index (index + 1)2 I' @' B. d% q! L, |; k6 r4 a
    set gini-index-reserve; w( y$ N9 V. w* o# t$ E* u
      gini-index-reserve +( U; h4 a. s$ y. h6 A
      (index / num-people) -
2 {3 A& t4 {: g      (wealth-sum-so-far / total-wealth)3 D4 ^1 Y# B! d3 N1 e& U
  ]- ?1 e) s  s  L

: E- `4 _8 c) ~  set-current-plot "Gini-Index v. Time"# X$ R( p3 [( k
  plot (gini-index-reserve / num-people) / area-of-equality-triangle: X* n( l* Q- A% d! ?6 j
end9 G6 S/ o- g+ ], W! [  ^
to-report area-of-equality-triangle% E+ m( C8 j# U6 f8 G! P
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
; U4 x. H; w" f+ Z; i) }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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