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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
" J2 ], `% u; B. zglobals9 G# w3 U& B$ s" T
[% h! `" v2 a% a$ o/ _# ]
  max-grain   
/ Q* u7 C  c+ A0 @' S5 Z
! b$ N; J9 o& Y) A5 T) `]) v( ^; d. e. @( T. u6 n1 d8 o

! b. _& k$ X- w7 Ypatches-own# C: C* n' W4 N4 a$ @$ |
[
2 G6 n8 |* {0 t7 T5 M# K  grain-here      
4 x7 d: u  `/ x, y, P  max-grain-here  
  s* F& b% J) Y7 m0 L( p]
% b, O+ p  D& T& Z$ Q6 K7 y' T7 c% Z6 I* [* X" {- z  ]( F
turtles-own
# X2 T. l/ k; j( M) _[9 Q* k1 f1 ^! F
  age              $ I! q# F, V9 i  w# U$ _
  wealth         9 w& D' v- z8 j2 u9 Q( z
  life-expectancy  
8 D$ Z, u! M- ?. B% t8 L4 G9 k  metabolism      
8 w7 g( L9 Z7 j( f. o! s# N( i  vision
  O  l2 @' _) {1 Y3 e# y0 H" K  inherited         
7 A$ ], e% N/ [3 v3 {]  R+ e0 L& A) B( p

. P, x  n( \  i' @! j6 [+ q8 U4 v% [: O2 X& U* N$ W& Q, x' J
to setup5 h- l4 c% }5 I9 G
  ca
+ d* L. M1 o" ?6 k  x  set max-grain 50* K2 {) H3 {4 f2 t/ ~# {
  setup-patches$ Z+ w! @; c3 U& F7 _( Y6 L' E
  setup-turtles5 p9 h9 a8 ^. Z* v& B9 i
  setup-plots# L; Y" h+ c2 P
  update-plots
: b5 y5 D$ q  h, D7 P# Kend
+ S: [7 F- X8 j  [3 Fto setup-patches
& C- D, f& X! d, N2 W9 X+ R' G  ask patches
, E- u3 ]4 b. b& v    [ set max-grain-here 0" m$ S& J/ p- K3 z, P  Q
      if (random-float 100.0) <= percent-best-land. X0 A+ T! R- Y8 `3 a7 ]2 z
        [ set max-grain-here max-grain
/ \( X3 P' g: i7 A/ c          set grain-here max-grain-here ] ]
' b9 Q3 w% @* v7 f' t  repeat 5
2 m# u3 H3 S3 w1 ]! u1 ^    [ ask patches with [max-grain-here != 0]' v( t1 K' e6 v* _: H- ~
        [ set grain-here max-grain-here ]2 q3 }( u/ q* Y9 Y
      diffuse grain-here 0.5 ]
' [' F* [3 u; k7 q! [& D( z  repeat 10: c+ e8 u; f/ D) Y; E
    [ diffuse grain-here 0.5]         
7 ~% |, _6 ^+ V7 y+ k( [8 Y: C; L  ask patches6 x! H* Q1 z8 D) m1 R" a
    [ set grain-here floor grain-here    ) C( ?5 X8 I5 [. \/ B8 I: M
      set max-grain-here grain-here      : N+ B4 g* ~# B; p9 e8 x+ X
      recolor-patch ]
% b' M9 {. h; j5 i( Rend0 A" Z, |0 F% S" W
to recolor-patch  * g! r! n1 E- [( G8 U9 _' Q
  set pcolor scale-color sky grain-here 0 max-grain8 {2 ~2 F% v; v+ F
end" }* s  V% x$ H  Y0 [* ~$ q
to setup-turtles/ U2 T1 w: y. i3 M) h
  set-default-shape turtles "person"
0 |4 O( i# o; h  crt num-people
; p' i' @1 J2 Y5 Z& c    [ move-to one-of patches  
7 a7 j' U: I1 a2 F( V( Y      set size 1.5  
2 }0 Y. y( l6 R0 k9 L* L      set-initial-turtle-vars-age
6 U) T( B* r0 E7 P1 _: w( b$ U9 C# o      set-initial-turtle-vars-wealth, B6 B& V, @6 C+ g7 b8 A0 b
      set age random life-expectancy ]. Z  p: X* u# k0 }# s, U- d
  recolor-turtles3 k. G/ A9 p; j
end, V9 d$ T! z5 ]# N0 ?

, w# y( ~% m1 D* cto set-initial-turtle-vars-age
/ L5 B4 g4 ^4 W9 m let max-wealth max [wealth] of turtles
. S8 c& ~  i2 d* T6 D( q* O0 b    $ O9 w1 C! t* e. E
     ifelse (wealth <= max-wealth / 3)
1 [* d! n9 z2 n  {& e# V        [ set color red # U% R5 ~9 O% s& S! k
          set age 0
+ Z6 B4 ]/ |* O9 k- E/ h: s          face one-of neighbors4 $ P! {* `1 G; E$ D! e3 |* w9 p
          set life-expectancy life-expectancy-min +
+ V7 d( i+ I, G, F, m" h                        random life-expectancy-max
# M  ~9 h* B/ U: O, e% P/ {9 L) Z          set metabolism random 1 + metabolism-low
; N/ y) U8 _' P5 q; Q( O          set wealth metabolism + random 30
7 q. _; F1 F5 b( W0 h2 M          set vision 1 + random max-vision2 B( E# k0 Y& S8 [0 N
             set wealth  wealth +  Wealth-inherited-low ]
, i  r0 V2 p1 l        [ ifelse (wealth <= (max-wealth * 2 / 3)); }# i, L6 X# k
            [ set color yellow
! P' c9 u5 p7 q8 k( a              set age 0& k$ n1 w+ R$ k" Z
              face one-of neighbors4 ' [! c6 s, L6 w8 j1 A, e
              set life-expectancy life-expectancy-min +
; ^) D, G5 U# E- o( Y                        random life-expectancy-max + 1
1 s* Q5 p& V+ ]' _/ {4 N' `              set metabolism  1 + random metabolism-mid
  n) V- F7 }$ S5 w  h$ h0 o              set wealth metabolism + random 30
* _, ?2 g  z; t; i. C' h              set vision 3 + random max-vision
2 B/ K# R# ~- ~                set wealth  wealth + Wealth-inherited-mid]
9 Z2 n% b! n. n5 L0 B1 p            [ set color green ) C  P) h; ^+ |7 O# ?" o+ g
              set age 0  P9 |2 _1 u& \6 N' \6 b! W  R
              face one-of neighbors4
, w+ H. h# _$ P  t              set life-expectancy life-expectancy-min +* U, v7 k$ e6 |2 ?, M
                        random life-expectancy-max  + 2' `- v5 T9 _5 O
              set metabolism 2 + random metabolism-up8 m4 {* |0 T- R" Y
              set wealth metabolism + random 30/ m; r5 m2 n0 f( L
              set vision 3 + random max-vision4 I  {8 L% \; f" I) ^4 `
              set wealth  wealth + Wealth-inherited-up ] ]
. w' o" T1 o5 a) N# {& K 0 |: w. |4 T) L2 [1 k/ T2 F9 ~3 u
end/ Q/ H- ^/ A! Y1 [/ O
to set-initial-turtle-vars-wealth
- D3 g  ?/ ]7 p' X' }+ n" W let max-wealth max [wealth] of turtles
& S& P) j. s, v) V& K% ~          set age 0
! F9 F' V  w/ H" @9 Y          face one-of neighbors4 % _. s; U: B; O$ s
          set life-expectancy life-expectancy-min +6 _& y4 M$ k, B0 m
                        random life-expectancy-max 8 r# C5 k2 e' D
          set metabolism 1 + random metabolism-up
( t( l5 n7 b1 e          set wealth metabolism + random 304 A' x. m8 Y% A5 ~+ j, {, f* w0 F
          set vision 1 + random max-vision
! e0 D9 e. \8 k5 G; Eend1 t  G& E' W- Y+ }) T3 m- q
to redistribution
+ {1 n! B  s# I% M/ S) R' ]* olet max-wealth max [wealth] of turtles& E# X: x3 F+ k/ X+ r
let min-wealth min [wealth] of turtles
: z0 C- r& [) q! t$ T# N* Mif (wealth <= max-wealth / 3)
# m* l% o" z. Q# E [set wealth  wealth + Low-income-protection ]
* i- p% |9 z: @) Xend; F+ D; Q$ A" A4 _2 I- M, c
         
$ R& E8 v# S+ }( Vto recolor-turtles' Y' e2 M- \3 [, n" o
  let max-wealth max [wealth] of turtles
: A5 r- I, `# ?. ^  ask turtles
' Y4 m9 o3 F6 y3 V/ d3 E   [ ifelse (wealth <= max-wealth / 3)
5 t+ ?( r' J# v& n8 R$ F$ ]        [ set color red ]
9 z+ I6 R8 N- l+ g" S3 r& o        [ ifelse (wealth <= (max-wealth * 2 / 3))
; ?/ G0 d3 |4 }( {4 y            [ set color yellow ]7 N; E% Y  [- i+ U# J2 g
            [ set color green ] ] ]* d# Y9 M( S; H: p8 _/ A0 F9 O
ask turtles [ifelse show-wealth?
$ h  E3 U8 p$ [$ ~    [ set label wealth ]
9 k6 j" y: t$ G8 g3 E+ D' {    [ set label "" ]]
* q$ |( g& Y4 j' d$ ^end
, o: U  H+ h* Y; k7 s1 E. _8 z. Z: p7 x; ^
to go
4 }0 B2 u- S4 S9 v2 M  s: H  ask turtles
( Z- C8 z+ U6 p) X( w& y' S    [ turn-towards-grain ]  + w  z* M  m' L! L* u
  harvest- Y2 s' z$ g5 ^; ~
  ask turtles7 N  U& w' J# H- ]2 X6 c
    [ move-eat-age-die ]
# [. S* y. `0 D* h  recolor-turtles3 j) C# ^& ]+ f" g0 _9 z+ r4 a
  if ticks mod grain-growth-interval = 0
2 U0 }" s% {3 r1 H9 q$ w5 u) t* a: R    [ ask patches [ grow-grain ] ]
: W8 i/ p9 t' z) n5 Y2 y   
% `: h0 ~# E  S  if ticks mod 11 = 0
. X; W0 M) F  K. `  [ask turtles
) F! {$ I/ {0 Z+ O# h' d  [ redistribution ]]
, W0 s% U8 n% a' m  if ticks mod 5 = 0' d+ n6 ~4 h8 \6 H8 y
   [ask turtles
" C/ D+ x7 a& P  [ visions ]]
, q1 ~0 x+ M  D- ~  tick" A! B& }2 V% w' w
  update-plots
. S; s' M+ j4 d( G4 F& U* T  yend
& a2 }7 D: }& G: g7 }5 `to visions
7 H: @4 P: t' B" p. m6 `- \3 j set vision vision + 1 - w6 L  h4 |' H+ V# J1 V5 `9 U* B% j
end. i, c6 z/ Q5 k

+ `! L% X9 ~* w* ?+ c# X% Z1 g! k: I4 ~- V# U! [
$ [. k. J6 U$ i, N) c
to turn-towards-grain  % t8 q4 X3 g- s3 K4 _: T  A$ L
  set heading 0
) t0 o4 W4 L* m. O' r6 k5 K  let best-direction 0
. p2 S. {( L! ]# C/ i: Q  let best-amount grain-ahead
9 ]0 }3 s7 k6 Z6 ]4 Z: A  set heading 90
# x2 r" W. I- w% P8 |- m1 r- |  if (grain-ahead > best-amount)
# T" f9 `) }4 g4 t; T0 f    [ set best-direction 908 D' \5 a) E+ M0 l! f  l. {( i* j
      set best-amount grain-ahead ]+ B3 R- F& \/ v5 m& V' o4 u
  set heading 180# \& D( x- [5 c
  if (grain-ahead > best-amount)
/ S( W) b# J, T, N7 o    [ set best-direction 180
2 l& I0 [9 b& x; j* J' E      set best-amount grain-ahead ]
: I3 f" \; V- q% v! t2 b' b# g  set heading 270
) I  |2 v) E: F  if (grain-ahead > best-amount)
6 I8 W. z  k5 [+ n- F    [ set best-direction 2706 R+ l) |# L$ Q! T! b" f
      set best-amount grain-ahead ]
/ K/ q) @0 z0 |5 i9 w  set heading best-direction3 C8 R" D  `$ Z" k0 x2 d" R1 _
end# ]3 X0 P/ {" e* G' P

) `% a  K* ~" ]$ j/ P" p: }- X2 _9 b6 j: h7 l( g' X' R; |
to-report grain-ahead  
, `% J1 Q# E" M* S, i$ a  let total 01 D$ B! V3 s  [; ?
  let how-far 1
7 C- b" e# y1 O  repeat vision8 D+ T1 S# g3 ?- a# Y; J8 S
    [ set total total + [grain-here] of patch-ahead how-far
  a, G1 \/ ?5 L8 M$ _% i      set how-far how-far + 1 ]
4 c4 Y/ s" F& `  report total
& O; }1 K# K, U0 R! hend
& |2 Y( c1 [3 Q/ L1 s# Z5 N: c, P9 Q* q5 ~
to grow-grain
$ Z; {$ W$ l4 K6 s8 B: I  if (grain-here < max-grain-here)
; P. ?  M* D2 V8 h7 E    [ set grain-here grain-here + num-grain-grown- Q) L. j/ n" I% k% X% i2 g/ w
      if (grain-here > max-grain-here)
$ _; o7 A# A6 g# c- Q        [ set grain-here max-grain-here ]
* O1 n# g2 l! o" o, n% J      recolor-patch ]
5 [- r( _& x+ P, J) q' g) J' z3 h0 Bend
* V' |2 G' C+ s8 t- _to harvest
: ~& K$ |8 v" M3 `5 Y  ask turtles; G; w. L* z! B4 I* }
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]& g" f7 g3 j7 J. B4 Z/ }
  ask turtles
6 T% o1 u: i; p    [ set grain-here 0
- b* F, S" M$ O      recolor-patch ]- ]% ~) P- z7 I% t/ |
  , Y0 o* W4 I4 o- g8 ?/ P! c
end4 O: N; g+ b$ Z* I1 w8 ~
- C/ Z; z, h- S
to move-eat-age-die  
7 \  z' w" v( O* ~* q0 {9 I  fd 1) `5 `- _( F+ N, S
  set wealth (wealth - metabolism)
+ D7 a9 R7 T4 O& }! F    set age (age + 1)
" ^- Q5 ~9 g7 Z  X# e. i  if (age >= life-expectancy)  m5 H: ^0 o" A! f# d6 @' E& {
    [ set-initial-turtle-vars-age ]% O* {, T5 q2 m: U5 k3 ~
  if (wealth < 0)
" y$ ^+ {2 i, Q- h    [ set-initial-turtle-vars-wealth ]
- j  d6 o5 N6 ~  v! m   
$ q9 S2 a' r# p  I& ?& `1 Lend
* c$ u6 p# P- s7 U% M, M, g" r! H% ^  T8 t3 F: c8 \, C
; T) K( j" ^8 g; d0 N
to setup-plots
0 j* v7 u) g2 Y  set-current-plot "Class Plot"
& ], z9 g6 Z- i9 u* ~! r! |9 j  set-plot-y-range 0 num-people
1 b# z* L9 z/ H1 R( y- l  set-current-plot "Class Histogram"5 q( L, N2 a4 I
  set-plot-y-range 0 num-people9 l! c3 G; _& d9 O  A# ]- w* k
end
: S0 b* M' |2 R! L$ P# E
/ Q; L+ m: U0 @. {& A  o8 Ato update-plots
( ?& ?2 z5 j6 {. u  j  update-class-plot' N4 I( g+ u( m
  update-class-histogram6 ^, d+ V3 s( P) |5 I5 E
  update-lorenz-and-gini-plots  \. q. |/ l" k4 t: J8 _: @, a" M
end- {  |4 o& e0 c

5 l& a8 o/ ~! ^9 ^to update-class-plot; S! f# Z  L5 e$ p4 q5 Y# C' {# f
  set-current-plot "Class Plot"' h; {1 D7 S$ D. \7 Z5 f3 a$ j
  set-current-plot-pen "low"
% q0 J& B3 A7 l9 r  plot count turtles with [color = red]5 p# s1 k: }3 c9 y0 h6 Z. U
  set-current-plot-pen "mid"
2 D1 h: P# p' B6 S+ ?  plot count turtles with [color = yellow]3 y4 v* [( |' Q/ I
  set-current-plot-pen "up"
$ ?3 E3 a! y, y/ G( a9 ~  plot count turtles with [color = green]1 [# M5 \) Q( F9 M  N
end
1 O1 o7 g, B" i" c- U
8 J7 h) O% j! C: I5 _/ z9 Cto update-class-histogram
) A( c* ]4 W: _% K  set-current-plot "Class Histogram"& f9 G2 Q  S, i: z; ~! ~; H, b( V6 [
  plot-pen-reset2 ^2 l7 A% k5 V: ^7 ]
  set-plot-pen-color red5 p% y; V8 z# F4 Y
  plot count turtles with [color = red]
: y. x% s/ N) \3 c  set-plot-pen-color yellow* B7 U  m" ~) g% l
  plot count turtles with [color = yellow]
6 |, I9 W1 K  l4 B1 Q  set-plot-pen-color green) w4 w, G7 h' M2 r6 l' l
  plot count turtles with [color = green]
2 P4 ^+ ]3 _3 \: q4 xend& F3 D6 s& W+ t8 R2 E
to update-lorenz-and-gini-plots
. i$ E; A1 s- K# k1 j  set-current-plot "Lorenz Curve"- n) V" k$ [, T5 ]- b- K: e
  clear-plot
' z  G2 C+ y- L' [3 X2 o$ T; d" @
1 ]. _  I* O$ j% I  set-current-plot-pen "equal"
; ?! c1 y: C  O; a" @  plot 0' r" L# x: \9 n* B
  plot 100' F2 g% _8 T+ s# P7 A% @
. f0 q- E9 o2 w# R% d' {
  set-current-plot-pen "lorenz"
) g0 F3 T7 f8 h& \& W4 b2 ~  set-plot-pen-interval 100 / num-people6 O6 T- Z: t/ p, F- j
  plot 0  b2 A% s4 z' y$ j) c  y
+ J: z2 f3 p, M
  let sorted-wealths sort [wealth] of turtles
% F3 m2 E" ^* B9 T% r# f  \4 M$ N  let total-wealth sum sorted-wealths
3 h$ _& v, N7 V4 Q* x8 r9 v4 [8 T  let wealth-sum-so-far 08 \( a  n, O( W; y, F& U; F& z
  let index 0
+ }  O' ^* H! x& s0 {& b( f2 B  let gini-index-reserve 0
, f% E) O. R# t  I6 p* Q- W6 G. [* q0 n
  repeat num-people [
+ E% q% Z9 Z% Z4 F  A2 Y6 z    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
5 x9 z! S9 g( o0 K1 e    plot (wealth-sum-so-far / total-wealth) * 100
' L3 E& o% N( A9 j4 ]! ?7 ?    set index (index + 1)8 V& }" |6 z& t" Q  p+ O2 G
    set gini-index-reserve
. [. M0 h  ~, N; v/ \% H      gini-index-reserve +( g. W( R$ q4 M
      (index / num-people) -
8 f. y  Q5 Y3 S& G$ |5 h: \      (wealth-sum-so-far / total-wealth)
% {! d) e5 y* n; k2 I7 Q5 ]  ]
& ~1 j, D8 p0 z. Z  n& Z6 w) y2 c9 e  U6 F) P9 L; [$ P0 V
  set-current-plot "Gini-Index v. Time"; l5 o& r3 j" C  x3 t( d& W: |
  plot (gini-index-reserve / num-people) / area-of-equality-triangle0 C' B/ }& W5 k
end
. }- p# `* _' {% H4 ?5 `7 w# ]to-report area-of-equality-triangle
) x* Q1 U. f9 q% D  b  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)+ e  ]* D3 v7 y! i* e5 }4 S4 K8 ?) S
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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