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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" o+ @5 t7 H; {% W
globals
* j. \& S+ _/ y1 V$ K2 h" V  x& a[
: ?# o* \/ }/ K  max-grain    5 i0 V1 R3 E6 z+ d2 u
) h6 f) p& i1 i7 t) p
]3 H9 K1 O4 k; Q+ ?' X
% p" V) e5 ^  b1 z' V3 q
patches-own
2 s: c/ x8 n! H+ n[
7 Y  ^/ e8 |! b! Q* Y9 v" @9 I2 v6 j  grain-here      + q5 `6 \( k2 B; f" J
  max-grain-here  
' `3 P# P" ]% L* N]& T! G& Z+ h. J
; X6 G- ~' u7 S/ a$ ?
turtles-own
/ _9 Q6 l$ H  V( _2 e[" K, E! c; B/ u! m/ o
  age              
0 U* i0 \( ^( f' A7 X/ g9 J2 n% U  wealth         6 O0 y$ J* L5 k/ l' I* b  G
  life-expectancy  
( w: w3 V6 N- J8 P+ h+ S  metabolism      
" [9 V" S2 Q  Q. J! K  vision/ S( s2 X, b* w: X1 _8 ^
  inherited         
& L: C, I6 X6 p7 S1 L+ c. Q; l]
- D6 s  V6 U  M0 {* t, _' a3 u1 L( j. Y& ~  t
' {8 J! p2 `1 ^
to setup
! j5 S' _# R& X' }  r  ca
$ U: P9 B7 {* P4 ^2 d+ {  set max-grain 50$ N" S1 U4 I, D
  setup-patches# Q% ?$ O# L  p  c9 w" e
  setup-turtles
; o+ W( M. d% i  setup-plots) v* X( A' O. u) a% d$ ]+ ~$ Y
  update-plots
3 b9 D; E' T+ Y/ m# Y! b/ Nend
3 V; }6 e2 d0 e3 j6 Uto setup-patches( Q( X* j4 r3 U/ |# k& l7 n# `
  ask patches( L7 L* j  D* i% w0 p& e
    [ set max-grain-here 0. n% F4 S4 u9 G  f7 e4 `- z
      if (random-float 100.0) <= percent-best-land$ P. X/ M5 i4 K% a5 l
        [ set max-grain-here max-grain
$ W* b) @5 P" r1 q9 n          set grain-here max-grain-here ] ]
$ l2 n8 A3 T! |% t  repeat 5+ w1 O& M& P0 h+ z% c
    [ ask patches with [max-grain-here != 0]
* |( s7 y$ W+ n# L% t# r        [ set grain-here max-grain-here ]
: T8 Y- _$ |, m3 y* L8 U      diffuse grain-here 0.5 ]: F6 O% L$ A: o3 X7 k1 Z' c5 t
  repeat 100 Z! R( N8 j1 @& m2 t
    [ diffuse grain-here 0.5]         
, t' j2 w. i& {- g) z  ask patches! Y: ^: ?, v& e# T6 h" m, w: A
    [ set grain-here floor grain-here    1 F* l+ |2 b' i, u; f
      set max-grain-here grain-here      2 _( x1 f- d, K3 i
      recolor-patch ]
. t+ N- H' Y$ v: }" z: z. nend$ U, o, u  Q. O: p, ]
to recolor-patch  
8 n  C: s' w& g: w2 `  set pcolor scale-color sky grain-here 0 max-grain. l6 V5 _8 ~. }. C5 N
end
" m9 Q& c& _7 nto setup-turtles
4 ?# g2 Z6 {. ?+ O4 Q  set-default-shape turtles "person". j) `. {% ]7 _5 k5 z8 d. Y* l
  crt num-people
* X, t: j: f6 J6 r! H4 J; x, ~    [ move-to one-of patches  
$ I' g8 i% U5 T      set size 1.5  
& Z. a! Z- H2 U% j3 b+ v* |8 T      set-initial-turtle-vars-age
3 |! f' Y4 P& ]) g+ _4 y. b! o      set-initial-turtle-vars-wealth
7 _5 ~! n* y6 |" L' O  E- Y      set age random life-expectancy ], c6 v- E' E& U% `- h
  recolor-turtles( N* r- X9 U* I6 p1 {( z! o- i
end; e9 f9 @9 d  q
. x0 i: G4 Z0 o0 G& h  u
to set-initial-turtle-vars-age
. f( `) B7 d* |- V% S1 a) w let max-wealth max [wealth] of turtles
: H& O7 [# q% f0 |3 B   
. M& E' B* |* |! T     ifelse (wealth <= max-wealth / 3)
: |3 x; O% y1 ^& E1 B        [ set color red / P- m5 j7 a3 U" {
          set age 0
# M! f' d6 p( v. o- j1 d          face one-of neighbors4 8 f* B4 y! S6 o
          set life-expectancy life-expectancy-min +; I' d. G, b% f4 `, E6 i* O
                        random life-expectancy-max . y* v6 `9 k( T$ M/ L
          set metabolism random 1 + metabolism-low1 B8 ?- k& O0 W8 h' v; U
          set wealth metabolism + random 306 c) d- p8 ]) l$ h  Y/ l. t
          set vision 1 + random max-vision
. O8 x5 ~/ t2 j- i/ ?0 G' M1 f. Z             set wealth  wealth +  Wealth-inherited-low ]
; ]5 G- g. F9 b! B' Q        [ ifelse (wealth <= (max-wealth * 2 / 3)): L, c+ y- j, s0 [- M* S
            [ set color yellow
. T1 {& T& w8 z/ u              set age 0( T8 K: W6 D4 f: |7 o3 W) T
              face one-of neighbors4 ' t. V3 w4 |$ V+ n3 ?  {/ N! h
              set life-expectancy life-expectancy-min +6 I! x/ K) i; M* Z
                        random life-expectancy-max + 1
  S( m; }! r- C              set metabolism  1 + random metabolism-mid
* L. n! q: e( c" w              set wealth metabolism + random 308 Q0 T( v% Z" j" X- ?0 N9 s
              set vision 3 + random max-vision" ^! r6 G. a2 i$ }) w1 G( ?
                set wealth  wealth + Wealth-inherited-mid]- W, n6 T9 M; \/ |0 Y
            [ set color green   S1 F0 d1 v  R/ s4 e, ^
              set age 05 ?4 X9 h& C( M  A
              face one-of neighbors4
- u7 \4 N- G8 B% K% [2 y. H              set life-expectancy life-expectancy-min +0 w" D$ b9 |0 h( {: \5 E
                        random life-expectancy-max  + 2
& Z' ^$ t3 E3 u              set metabolism 2 + random metabolism-up) q0 A& P' f5 z* o6 @
              set wealth metabolism + random 30
) R% K7 ^! l8 c( n" v              set vision 3 + random max-vision, M/ _8 _* m" c' c4 e* k0 n9 f
              set wealth  wealth + Wealth-inherited-up ] ] & s3 h& d% ?! {6 c

& N- {7 @: w& K5 U& \: T+ Wend3 f# q; |: f; c6 y( t4 E1 K
to set-initial-turtle-vars-wealth$ C; w; u6 ?6 S
let max-wealth max [wealth] of turtles
* m, `& X( H: M0 e4 N$ q, E* x          set age 0
. m6 V2 [' ~4 k# P* \3 \          face one-of neighbors4 ! o6 a# G; |; J$ ^
          set life-expectancy life-expectancy-min +
# E9 W! H6 G1 _: S                        random life-expectancy-max
7 c8 b1 j; G/ u+ h$ x" q. ^          set metabolism 1 + random metabolism-up
2 f& a$ |3 Z" m+ f' x! M          set wealth metabolism + random 303 B4 A% j7 l* w  _+ q- q$ Y2 Q
          set vision 1 + random max-vision ' X3 k" F3 }* X9 x! i& P* `2 Y
end! C$ T6 Q5 J1 m2 ^% F/ z- j
to redistribution
( t! ^6 d$ G/ K" j. M- g' alet max-wealth max [wealth] of turtles/ l6 C, A% A0 ^/ Z( I+ `
let min-wealth min [wealth] of turtles
* G6 u2 r8 n1 a& Sif (wealth <= max-wealth / 3)
+ k6 g. h" l8 I% v% L/ L3 k+ |5 i [set wealth  wealth + Low-income-protection ]! N5 c! x5 m4 I. `9 }
end+ ~1 J& G9 Z) [3 [& H
         
$ U6 ~. [) |. n# Eto recolor-turtles
/ N( U& K+ R0 q; {) i  let max-wealth max [wealth] of turtles
: v- V2 d, D1 v5 A% C  ask turtles
# \4 p6 e+ O# i  V/ {0 g# J   [ ifelse (wealth <= max-wealth / 3)( T* A3 F9 [' a) \8 o9 a5 s% `- L5 I  c
        [ set color red ]
# u) Z  w7 f4 r; k        [ ifelse (wealth <= (max-wealth * 2 / 3))
( y: K/ U! G9 Q# K7 c1 Q' }- y7 i; _            [ set color yellow ]9 m6 z4 c8 }8 X0 C( A0 ^4 B
            [ set color green ] ] ]
$ m2 k( L. X7 P ask turtles [ifelse show-wealth?
2 ^& c! Q2 }# ?  c8 _9 ]    [ set label wealth ]8 _( h* @% z7 K0 v
    [ set label "" ]]
, X( Z9 r- ^9 T; G1 \end7 {2 {( I) O7 e7 O% [* p

- w; ^( c' s' M( G: cto go! j, Z; d* |1 e5 t- g
  ask turtles
+ z7 p3 l6 X7 o+ n    [ turn-towards-grain ]  2 J/ W" M3 q/ O
  harvest" r6 \0 C2 U) w! j3 J2 f" f- p
  ask turtles6 H) o; \' }# Q& f; t
    [ move-eat-age-die ]3 h' o9 C' X6 f6 v9 h0 k0 \
  recolor-turtles. |5 `9 g& f8 J0 }1 a! |: i
  if ticks mod grain-growth-interval = 0
( T* d* a1 N7 z1 ^& `; c6 l    [ ask patches [ grow-grain ] ]
0 m+ g+ q8 o( y$ w) }; m   
: T' |) ^/ X( o+ A" e  if ticks mod 11 = 0
& a0 q8 ?: ^7 z6 i( T' B, N; O  [ask turtles
* X% o& K1 I: {" V& w  [ redistribution ]]
4 E$ z# W  v* }6 `  if ticks mod 5 = 0
, i8 N! X; F8 G: y) r   [ask turtles
2 K, h& i$ Q7 h3 b4 J8 b* }& q  [ visions ]]) u+ H2 m& F% P2 O+ {6 s8 g- D3 B
  tick6 y+ Q; _0 N9 l8 |' X- r
  update-plots
" P5 }1 }& V) ~4 x3 b+ Send
* S0 I: m0 @6 ^& Nto visions/ q: b# M4 o& p9 z# A
set vision vision + 1
# P" Y/ {: ]) s& v5 Hend
) T0 t6 {6 b8 E' h
- f+ L( C. q4 u6 b2 s
! @. z- [  H( l
  _' [% @9 N2 cto turn-towards-grain  
! ]& j. @: I& C) j* C; q  set heading 0
8 U6 T4 J9 [$ K+ ]! z5 q+ V  let best-direction 03 x  R: R" j9 V' G" y
  let best-amount grain-ahead
1 |; j$ O* U$ b/ |2 g  set heading 90+ Z1 P! ?+ Z3 f6 f
  if (grain-ahead > best-amount)
: A& ^1 V/ B( N, t: G8 L" I/ X4 z    [ set best-direction 90
" D. G9 y; D+ K: D/ e  x' r3 C      set best-amount grain-ahead ]
; b+ @- K' T$ A  E6 \* v& K  set heading 180  z4 K# E( `& J+ B1 ?: C
  if (grain-ahead > best-amount)+ `% U2 W/ k2 t! F- l" _
    [ set best-direction 180
/ h6 k& O. T7 B8 s) l! e1 r      set best-amount grain-ahead ]4 T/ o+ A/ R4 n( p$ U+ `9 C1 r
  set heading 2703 e+ B' X% U, A: F
  if (grain-ahead > best-amount)
) q! C* y5 o' }/ L% K    [ set best-direction 270
4 j6 W4 A( Z6 {      set best-amount grain-ahead ]
- q: l- Z5 P1 @2 F  set heading best-direction5 I0 R  }+ D, F- ], |
end
  O2 i9 [; z/ u) Z+ H8 m% Z6 F; `. E! L

# S2 l! |# f# z. D2 {+ Xto-report grain-ahead  
3 ~0 D7 j( q) M+ `$ P+ L  let total 0
3 ]/ b; `0 J$ Y  let how-far 1
8 z0 q* o6 U/ w5 b  repeat vision9 _9 D" {% v- b. s9 C0 [5 O
    [ set total total + [grain-here] of patch-ahead how-far
% s/ f. ^6 V1 T5 n. X      set how-far how-far + 1 ]* c8 J# H) W7 D
  report total
4 j: |. @3 _# b/ y% ?end. J3 K( s9 E4 U

3 X( l: L6 o6 c) G7 zto grow-grain $ ]0 H; h7 X3 x$ E- g; n) S" ]" k
  if (grain-here < max-grain-here)
2 e1 [7 ^5 F+ h. d' s* w# L    [ set grain-here grain-here + num-grain-grown
7 f" A8 K% L, D" [' N      if (grain-here > max-grain-here)
: g7 H! |0 C3 F- A        [ set grain-here max-grain-here ]+ |" [( B. M+ A
      recolor-patch ]4 E) \& ]0 o, b
end
' B$ a& A: ]% V8 a2 kto harvest4 _. X$ r# t, j$ {( p) J+ q* V, \
  ask turtles
6 ]1 _+ Z' W" S$ R& x0 j$ L7 s    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]5 ]8 s! [# S2 u0 @
  ask turtles
3 x( n, U% w8 [. i    [ set grain-here 0
- `  D" n( ?* t      recolor-patch ]& ?& u- v: T4 y. L& M. J1 [
  8 E+ ~; ?7 v# ?5 a8 J6 T2 C
end" t0 w, m2 G) g, ?2 O
4 k8 c1 k3 `/ p& X
to move-eat-age-die  + a# H# ^# Q/ _8 n6 N9 K4 t
  fd 1
- r4 s: e9 p+ T1 g  set wealth (wealth - metabolism)
' I7 E6 W* R" }& X    set age (age + 1)' A2 e; E% R0 p4 Q" g
  if (age >= life-expectancy)  a* P0 N# \9 F) y
    [ set-initial-turtle-vars-age ]3 x* W9 D3 V) @- ]  {
  if (wealth < 0)
6 g- }/ A3 M+ ^1 q    [ set-initial-turtle-vars-wealth ]8 s& ]& ^  t3 W; x; t
   
5 S$ s5 |( J$ m$ `4 mend
# n0 B2 F( B; N  _* |, w& T1 n, |. z5 v' o: \# O3 I! h$ k1 [5 A
+ V1 Q' g* F# t2 U) \3 i8 t. K) s  W
to setup-plots
2 s3 p8 f& k# u8 n4 g) F) f4 V' |2 s  set-current-plot "Class Plot"  o4 q5 A7 l  p% ?
  set-plot-y-range 0 num-people+ D4 q: G/ e9 k& t" k9 P
  set-current-plot "Class Histogram"1 O7 e+ E+ |( }7 v. G" Z
  set-plot-y-range 0 num-people, {7 E6 V+ V/ j$ e4 Y8 O6 I' w
end; V1 Y. J7 G+ i- D% K
$ q# q3 v& n# ]+ m, S( |9 u
to update-plots
1 \& V( X; n, _* p  update-class-plot
- s, o% O2 X& L7 p: y  update-class-histogram
6 {9 D% T$ u  B1 d" V- l1 a  update-lorenz-and-gini-plots( i4 J' y! _* ^' n5 Z) Y; m# {
end
( Z7 N$ H9 S4 l; ?( d: x$ E7 Z4 W: w% M$ ~" }1 \
to update-class-plot& |7 b$ Q) f, ]
  set-current-plot "Class Plot"! a2 Y! Z3 f' Y0 S+ C6 K
  set-current-plot-pen "low"* a: b3 c7 ~5 Z$ e
  plot count turtles with [color = red]( k8 u" O5 C2 C- f
  set-current-plot-pen "mid"
6 I! j% a+ Z- n  C8 l  w  plot count turtles with [color = yellow]" S0 Y& P( _: N
  set-current-plot-pen "up"  Q( N9 e& g  S/ s6 C/ x
  plot count turtles with [color = green]3 b. t  i% }6 W
end  S( J/ {. j( n8 ]( x/ q" Z

' R$ j+ y- K/ ]6 Lto update-class-histogram# v$ l2 Y) R* x+ B/ I
  set-current-plot "Class Histogram"2 e; s$ p$ E8 m* W. `) Q( i
  plot-pen-reset7 [! j) @$ _: M5 y+ s! l3 P, O
  set-plot-pen-color red9 H" O% x7 l, H. y! y2 q
  plot count turtles with [color = red]
! [! W( K" D0 U) t1 e4 A  set-plot-pen-color yellow$ A# [1 b0 v! `: T% ?# w# ^8 h1 s
  plot count turtles with [color = yellow]
+ Q- |6 J' x4 r- C- A& Z. F0 L9 h% \  set-plot-pen-color green8 {* w( z5 G: N% G$ M% ]+ T
  plot count turtles with [color = green]2 u: {& m4 G. L6 y+ m# _7 N# L
end4 ~5 _) G3 @8 d% U. U* v5 _  R
to update-lorenz-and-gini-plots$ W2 ^9 k8 \0 A1 R6 [* z
  set-current-plot "Lorenz Curve"
& Y( [1 I, S. Z  clear-plot2 `' s3 W3 T. C4 U
; d" S6 Y  [8 C
  set-current-plot-pen "equal"
9 @, h  b+ C# T: |3 C9 z  plot 0
% p" R' F; _1 Q. W  plot 100
7 w7 h$ ?( D# a, U0 e1 K8 _( j2 y5 @) N* \
  set-current-plot-pen "lorenz"" r- S7 L* ~$ N2 W
  set-plot-pen-interval 100 / num-people% E' s& n" o# j- ^
  plot 0
: T- I2 T% m) o. o# V2 K6 f- S, X0 T  L5 c' }. C
  let sorted-wealths sort [wealth] of turtles
5 Z  p  O: `* q  y5 I  let total-wealth sum sorted-wealths1 V( G" m5 y" U/ X! u
  let wealth-sum-so-far 0
0 ~6 `7 g9 A$ I4 W) S  let index 0
" w* l* {$ t- H- v9 E2 D  let gini-index-reserve 0% F- t7 I* A, G
& h. l7 ^; _* P# @- Q2 b* b
  repeat num-people [3 g2 ?0 F: v- v" w  m- a
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths), a# \" g" y2 X) P* v% i
    plot (wealth-sum-so-far / total-wealth) * 100( f* @3 i3 O* e; j
    set index (index + 1)- w; z+ H1 {0 B
    set gini-index-reserve8 I; @7 G# g/ }$ d. @" P
      gini-index-reserve +8 _5 v; B; }8 T
      (index / num-people) -3 I7 W9 X+ m) b: u
      (wealth-sum-so-far / total-wealth)
" h( q" z8 L; ?/ s9 s  ]
( w1 G5 K; p% _( f2 ]8 d
! [& [7 j( M& P  set-current-plot "Gini-Index v. Time"
  U- J/ k( w7 U; i. Z  plot (gini-index-reserve / num-people) / area-of-equality-triangle* }0 Z+ l* ?# W9 @; L
end
2 K! l- O1 [, B( Pto-report area-of-equality-triangle2 ?7 L8 m8 K. Y6 K8 E
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
) e/ i* N* l  Y8 |( ^4 M1 g' eend
 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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