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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
2 M2 L( t4 l2 C9 @* Z  n% lglobals2 \* U5 V5 W% y# t* S$ q( c0 h
[
0 |- {2 ?4 X$ Q( h$ K  max-grain    0 \" q; x6 J4 b8 \- ]

3 j: j/ D* x; |7 h# R; D+ A; Y6 U]( I6 o$ j- h" L- o5 C
/ H4 s8 r$ L7 A- t
patches-own8 i, v( l  x) R1 {) u
[- K) o! J1 i- T% d7 |
  grain-here      
9 [' P4 \% P4 V* _# e6 z1 T3 }  ~  max-grain-here  $ {! w  w# B. I% {0 @" t' d% Y* _( Y
]
- I- g2 n. m. G4 [8 g. t
$ F( ?* I8 z/ X8 Fturtles-own, U; O* ~7 k/ W: @6 Y  d
[
8 P# O2 v% C& _$ ^! Y  age              & x; ]0 X3 g& T* f) m
  wealth         6 ]6 C9 `, m0 S7 t; A1 |% j2 W
  life-expectancy  
9 [4 a& _2 E' D# s5 m, N! Q  metabolism       8 g3 \  b3 i# Z/ g
  vision2 f9 A/ U; z6 q  d
  inherited         
( K5 c5 ?% @  ^0 x# Z: P]
7 X* t$ p& S: m) a6 O4 l$ m8 D0 {7 R0 l. o
. `3 D/ |- l6 E* q" w
to setup
4 F; k" K! O0 ]! G7 [2 i) N  ca4 F, P3 K4 a9 H  V3 z: N! f
  set max-grain 507 ~$ ^  {9 U6 Q9 [& T) M
  setup-patches- i1 t& U1 j1 Y8 V% ?' L
  setup-turtles% Z6 ^9 \3 D8 G  G4 z1 G
  setup-plots; }( M6 H4 X* W8 k* N
  update-plots
1 Z" Z7 {# ]# \- R6 H6 A3 c2 Kend" p- I/ L& d+ r' y' g/ U+ @7 F
to setup-patches
, y* f4 E  e: y7 @$ P! f7 @  ask patches5 d, K; h8 a1 q! Z3 B! E* A7 _
    [ set max-grain-here 0
. h2 j9 Y* s/ C; V. m! D/ B      if (random-float 100.0) <= percent-best-land( _( ?; x3 W% Z  O# b) y1 @2 ]# q
        [ set max-grain-here max-grain
* h, C6 f" s* ^2 l, }- Q) ^0 p+ Q          set grain-here max-grain-here ] ]5 g" @3 L' B9 N% E  h/ A' O
  repeat 53 N  m# G% O9 K- c. V4 k( v6 s  h4 }
    [ ask patches with [max-grain-here != 0]3 j; D( \7 x% ?! z
        [ set grain-here max-grain-here ]
2 z0 J$ x2 f! M      diffuse grain-here 0.5 ]
1 N  K5 @) a7 I3 K& h& T, A/ b  repeat 10, {+ G. p. K, [% i. i
    [ diffuse grain-here 0.5]          * C$ h( U& k5 Z$ y
  ask patches
7 X$ ~/ ~+ K  p- ]* C- a$ k6 u1 n- {7 o* o    [ set grain-here floor grain-here   
: C* Z- m" Y' v5 o0 n      set max-grain-here grain-here      1 v2 T4 O0 S  S7 j7 n9 k
      recolor-patch ]
  d. V( r$ R* o* Cend
) X& e+ s7 ~; F% M% i& ]to recolor-patch    A& X( X2 Z0 B. `' E
  set pcolor scale-color sky grain-here 0 max-grain
3 B! ]1 l' I9 c& {6 Z0 y  uend
9 ]3 k3 u2 R5 @/ gto setup-turtles0 r2 V3 T- ~8 q
  set-default-shape turtles "person"
. ~8 N5 M* W7 s1 ]. d; R6 g5 t  crt num-people! Y, H+ J4 n6 J
    [ move-to one-of patches  . _% l9 m6 k9 w* R# x  ]3 ?- N* F% `
      set size 1.5  
" f! c: g% Y) E# _# Y5 @7 k0 _9 D      set-initial-turtle-vars-age
3 `6 x( W1 f$ y9 u$ d- {      set-initial-turtle-vars-wealth
( q4 U9 \" p* B( C% M      set age random life-expectancy ]
3 h3 l0 Z% d( l4 y3 g0 i  recolor-turtles+ g+ q# ^3 ]' \2 B
end( r- Y$ d) R" p$ W0 i) U0 Q6 T
0 f8 y" V+ w/ ]6 t* s! }
to set-initial-turtle-vars-age
( o- K6 j3 l  C1 M let max-wealth max [wealth] of turtles) s5 t( t  M7 J( L7 T
    - A3 }- ~6 o1 b* s+ ]3 I2 P
     ifelse (wealth <= max-wealth / 3)
7 C! P# T: p" r! g% _0 @9 [# e        [ set color red 5 D7 t) R! a. W2 i& N2 q- M( X
          set age 0
  M# V% b! m# C- f          face one-of neighbors4
$ X4 E' ^  J6 @# b% F* f  O          set life-expectancy life-expectancy-min +/ V9 S; \: l5 o. w2 S& q
                        random life-expectancy-max ( O: ^* q1 F7 e
          set metabolism random 1 + metabolism-low; S# O# f& M( s! J
          set wealth metabolism + random 30
: W6 j$ t9 r: |6 I          set vision 1 + random max-vision4 {% _" `3 e- g7 f; i
             set wealth  wealth +  Wealth-inherited-low ]7 M; t! l/ W/ x
        [ ifelse (wealth <= (max-wealth * 2 / 3))
0 `; b7 w2 {* d, y- A5 }            [ set color yellow 9 L  G. V- B+ x: b8 Q  l5 d: F7 A
              set age 0: [* ]( @- }: u' f$ p+ R, A
              face one-of neighbors4 / i8 h4 C; s  X
              set life-expectancy life-expectancy-min +- \. f* ~" h1 U+ c, L8 a  K
                        random life-expectancy-max + 1
! K8 [4 g. A7 B9 E              set metabolism  1 + random metabolism-mid* x% a$ F0 i7 b: J4 L& z! Z
              set wealth metabolism + random 301 d" d" k+ \5 p4 x9 t+ D0 K1 ?# o; ~
              set vision 3 + random max-vision
5 h- N7 Q' L; b/ G- q0 j. I                set wealth  wealth + Wealth-inherited-mid]
6 b* _$ [9 ^2 h* c# X            [ set color green
+ s, b. a- Q; p8 v              set age 0, k; N: \$ J6 D/ o; ?+ h+ R* q' e+ @) d
              face one-of neighbors4 $ g$ y' {: W& [
              set life-expectancy life-expectancy-min +0 K4 e( H: `+ t0 l; \+ W
                        random life-expectancy-max  + 2  N9 }* O+ S* w( Z6 n5 O
              set metabolism 2 + random metabolism-up
3 i$ E9 W; F. }% K) E              set wealth metabolism + random 30
, U/ q0 _- A" E4 k              set vision 3 + random max-vision& m' {' Z+ s- q% G/ o5 y$ I; e$ Y
              set wealth  wealth + Wealth-inherited-up ] ]
5 t" C" h4 {/ @8 @8 ]) Q% Q, D 6 H* d7 o& P; r1 u
end; E. h( @; t- F" m2 J2 k
to set-initial-turtle-vars-wealth
7 ~' s, r1 m; _9 r: q let max-wealth max [wealth] of turtles6 i: G! Q6 z! P: P
          set age 0
% o# V; o9 K7 Q2 X' S! S          face one-of neighbors4 5 ~$ M" l! d" r. i# @2 e6 _2 l/ M
          set life-expectancy life-expectancy-min +
/ {' f$ w4 F3 K/ g- e' Q' G                        random life-expectancy-max
8 {7 f; R# l2 u& P4 M  V8 {6 Q          set metabolism 1 + random metabolism-up/ ~6 A' _- ?" F
          set wealth metabolism + random 30
/ h* [) R6 `+ \/ B8 V9 p% b          set vision 1 + random max-vision * j- Y; L6 f) a% L
end
6 n) |4 N/ d0 Tto redistribution2 i( h3 o* w9 ?6 H7 _! m2 J9 G/ Y
let max-wealth max [wealth] of turtles* \0 P* V( o4 ^
let min-wealth min [wealth] of turtles! [7 {" j! Z. C/ S
if (wealth <= max-wealth / 3)) a- n( ^8 d" M7 b* t* b
[set wealth  wealth + Low-income-protection ]
+ |8 Q" i# [% _' j5 gend
0 z. h( E; I; m$ ]         
, p; J# |. v( i; M, g% D( [/ B$ Zto recolor-turtles
: m) Z) K2 x' ^: y% _9 I  let max-wealth max [wealth] of turtles
3 P9 b" c% O( d" t  ask turtles6 N! D  u8 m3 _0 k. y$ Z2 X
   [ ifelse (wealth <= max-wealth / 3)9 }# l1 t; L" `8 U$ b& J# Q
        [ set color red ]
6 ?, Q( h& A. D) S        [ ifelse (wealth <= (max-wealth * 2 / 3))1 Y, b# L. G3 x! q+ s
            [ set color yellow ]. O3 E3 T/ E% y5 i" y8 Y
            [ set color green ] ] ]
5 V( ^) N, C4 @  [ ask turtles [ifelse show-wealth?8 A3 S6 G6 A. h/ A& t
    [ set label wealth ]& A, L' `+ G3 k$ E& b
    [ set label "" ]]
% z6 _7 D6 E: y# m$ Uend$ P4 J& R: E# X

1 _* q2 Z. C/ w+ L# z8 Cto go( {' A0 x* \6 F, \% l+ D: W: ]. B  B
  ask turtles8 L* S1 v& w8 O1 b+ t1 b3 Q' z
    [ turn-towards-grain ]  " L4 [. z/ P# J
  harvest8 Q# [( x5 Z* S% r2 z
  ask turtles9 l' D8 K$ \0 T+ N
    [ move-eat-age-die ]
: z% V0 h5 Q4 ?, @  W$ `2 p  recolor-turtles
" G3 k0 h% v/ v: k2 [) m) i  if ticks mod grain-growth-interval = 0- c3 M$ N; ?/ O# @4 Q) h$ a
    [ ask patches [ grow-grain ] ]
4 x, P( T  D* t   ) x/ B* ]7 o2 ]" a
  if ticks mod 11 = 0. G  I# ]1 c- n6 Y3 c
  [ask turtles% k3 ~% }( ^; E) v7 I2 n' x
  [ redistribution ]]/ n, M! ^9 g8 p. f7 q7 u
  if ticks mod 5 = 00 U1 S4 O  q- R3 G& w9 }6 R
   [ask turtles
/ q  B% a! g- |8 P/ c' O  [ visions ]]8 _4 R" a! f8 b3 c
  tick" \  [! B; N; G; P& i: Q3 Y
  update-plots& i- w- @# ~" F% n
end4 c* M! V) o4 }3 @/ o) {
to visions
9 h  |) \% E" X& n% R( \ set vision vision + 1
4 l. m$ s/ p% q- h0 j; ^end
$ e0 s7 D0 u" |
5 x# q& F* Z2 k6 ?
/ g; U3 b7 F. c& N2 b5 ]! [' F) q" @3 f- R" s5 x6 P9 S
to turn-towards-grain  
9 m! I4 D- P2 |* ^7 ~1 s  set heading 0
+ c$ w" L9 _3 L# r4 p% K  let best-direction 07 b) k+ D7 r1 V2 e( d0 N
  let best-amount grain-ahead
' R7 |& a, k/ r- a! `- e  set heading 90+ c3 f- ^4 H, d- |' v" t( n/ u8 M
  if (grain-ahead > best-amount)
* X5 b5 D6 B+ N' F7 ^    [ set best-direction 90
! ^: B) p- S" z+ D+ A      set best-amount grain-ahead ]
- i: S! J1 ~$ l. {( [" O5 T  set heading 1804 ?/ C/ Z9 X5 f1 d
  if (grain-ahead > best-amount); o  B" Y# {9 ~- Z; u) {* h5 L
    [ set best-direction 180( R7 g4 F1 ?- N8 V6 s: T  Q% v
      set best-amount grain-ahead ]/ V5 b$ }, ]9 h& t/ U
  set heading 270
7 i' u# g6 Q4 n$ a4 ]. w  if (grain-ahead > best-amount)
( F6 I: P$ o& W  z. ^    [ set best-direction 270( J1 c4 h3 t1 M* e2 J  O1 M
      set best-amount grain-ahead ]6 P. ]: f5 `8 g$ Z% z: o9 O- g: ]
  set heading best-direction9 J. V, R! }! S7 n7 P2 i
end
$ z+ W2 s2 _1 a: _' l! M/ R' g3 j1 V9 a) h! D
5 p/ G2 V, F( s- k; p+ q
to-report grain-ahead  
- S) c$ D+ x4 q. m  let total 06 V" P7 x! x1 h9 u
  let how-far 1
+ _% c. g9 b- t1 ]8 t  repeat vision
+ l+ B/ `6 Y! h- m    [ set total total + [grain-here] of patch-ahead how-far
/ M0 z/ J/ d- Y% [! `/ J      set how-far how-far + 1 ]
; n, P( q: t( ?  report total5 E& b) r& Q. _
end
6 s# b9 _3 ]6 i. M
3 \  A1 S' o  y/ G' lto grow-grain
" c6 R4 X) Q# P7 s  if (grain-here < max-grain-here)7 H2 w) l4 U# U: q' U4 L
    [ set grain-here grain-here + num-grain-grown
5 I! z3 z$ h3 k2 V3 D  D7 O2 b' f      if (grain-here > max-grain-here) % m: H/ u- ?* d% _: a4 O
        [ set grain-here max-grain-here ]
. c/ _( `0 `; r" u! o      recolor-patch ]
$ e8 b2 y% c+ i1 k) kend
2 ^4 k! t/ E" @) J+ o/ E( R3 fto harvest
4 m$ `' ~# z! \  ask turtles
: Q3 p2 h" ?0 u1 f    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
7 N6 Y' E" j% }  ask turtles, A! ^: S( k' T( i$ u: O! d8 j
    [ set grain-here 0
7 y5 [% e6 Z1 c7 v4 l      recolor-patch ]
# {3 T% Z1 ^0 m5 b' w  1 I2 A& u- S, ^2 H/ I/ c
end
: M1 L3 [, z5 ]1 K3 B9 W6 d/ t  D
7 Y: s& j6 x  H* L" V; Mto move-eat-age-die  ; G% A% A6 H# k7 j, r9 W
  fd 1; }2 I1 B0 R; y
  set wealth (wealth - metabolism)# w1 ]- s" X$ f5 X" p
    set age (age + 1)2 r7 d4 `; k/ Z, f5 e1 m% Q' K2 X
  if (age >= life-expectancy)
" k/ U; H% n  i& H5 A2 d    [ set-initial-turtle-vars-age ]* j8 f+ q  D5 a9 Q+ X
  if (wealth < 0)0 w3 N1 _2 F  @( h  C2 ^+ W
    [ set-initial-turtle-vars-wealth ]8 b  q9 D" N) [) E* J, Y
   
0 {7 r. Q' E7 f& N. Vend
6 f; g* ^9 m& x; i7 l8 g! }! D- N6 I% P

& v& h$ u: g' ]  u5 ?to setup-plots
$ V# C! v; f* a+ ~  set-current-plot "Class Plot"! M2 C& v; X6 M3 p
  set-plot-y-range 0 num-people3 R3 M6 V. R$ g7 N: y* \, ?% e
  set-current-plot "Class Histogram"
" `8 v4 i/ A/ @7 m  set-plot-y-range 0 num-people
6 }/ {; s, W$ P6 M7 send: k2 U3 X* J7 _4 d4 o8 v; Z9 A

+ _, n. v- o; n) q0 ]to update-plots4 X8 |2 }. m: g) I
  update-class-plot6 y2 S/ G2 e% F) j4 j
  update-class-histogram
* {0 P' k; p1 h3 N3 }8 z  update-lorenz-and-gini-plots% `1 a9 D  N* E& \6 o2 B% k
end& [' E1 S3 d: ~. x
0 _4 A. |+ b% g! f% @+ b0 N5 p! U6 k
to update-class-plot
4 z/ a7 h8 j* r% q7 ^( h  set-current-plot "Class Plot"0 t9 g* S/ f( _: }, c! r
  set-current-plot-pen "low"+ V  W; O2 U' k5 d% D, S! E
  plot count turtles with [color = red]
. e8 \) p/ X& k$ x- |+ z6 Z- b  set-current-plot-pen "mid"
# _  f. D( _& e" b) \' N1 u  plot count turtles with [color = yellow]1 Z+ l( F, @1 Y+ `
  set-current-plot-pen "up"% s6 S" R: V+ d! ~  J8 b, |
  plot count turtles with [color = green]& R2 u. @6 X, Z4 }% g. @
end
+ S) a! C0 L1 q/ e1 |# T& x- }- a! `9 j# R6 @
to update-class-histogram6 j* I1 K# m$ j* Y5 f
  set-current-plot "Class Histogram"7 Y3 V; d7 u: Z% X# @, Q! a/ d
  plot-pen-reset$ O/ q( ^& w; E: K/ i
  set-plot-pen-color red
2 b3 n; N" D- w$ x6 t  plot count turtles with [color = red]
1 n& |5 u* V) O% e' J6 P' W9 M) _  set-plot-pen-color yellow
; z- p% V' E$ ?7 z1 ^  plot count turtles with [color = yellow]3 W" z+ }5 g- k3 a3 K
  set-plot-pen-color green
, ^2 i" I& M1 X( Q( z& p  plot count turtles with [color = green]( \. g6 y' k2 o/ w+ N' x
end5 M( U5 j% a) \/ x
to update-lorenz-and-gini-plots
8 \0 h  ~* O* X0 \: V. ]& R- ~9 P  set-current-plot "Lorenz Curve"
( Z8 u! P4 j9 l3 I8 E  clear-plot2 U, Y) h4 N5 Q& k: f' u, c

/ u# R$ o8 U0 s  set-current-plot-pen "equal"( X* @5 q' k: m; `' R
  plot 0
6 P4 Q2 |: t7 [$ [- j  plot 100
4 w5 A2 |/ X; i/ C3 Q1 h% T) y: i' N6 w: ~: E$ @9 [
  set-current-plot-pen "lorenz"7 a  V! w1 \3 ^5 K! g  s9 Z
  set-plot-pen-interval 100 / num-people( k1 V# M; d" B
  plot 0
1 X8 F! x3 E4 [2 D0 K
: R* u0 Q  ^5 d  l: \" }4 k7 f* U  let sorted-wealths sort [wealth] of turtles8 L, N: z- `5 K
  let total-wealth sum sorted-wealths! g0 f0 W. Y4 @$ O2 h4 e
  let wealth-sum-so-far 0
& u) }7 ^1 i6 ?4 i0 ~  let index 06 k. W8 s* T5 U9 n, d% l
  let gini-index-reserve 0
7 }; E. j6 d' z* k
1 v1 Q* D2 |. m! f  J4 r; O# x  repeat num-people [. \# L2 t  R5 I  ^$ p1 Q* g- o1 X. Y
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)/ ?2 ^' |) Z+ ^
    plot (wealth-sum-so-far / total-wealth) * 100
" v0 P! G5 m0 X3 F/ V4 a  z* ]5 F    set index (index + 1)
! |8 W5 D! ^- A( S    set gini-index-reserve" V4 U0 Q# M7 Q6 r% M0 z
      gini-index-reserve +7 W9 E  e( e7 T  e
      (index / num-people) -
- \" A* T9 \0 A$ C( ^9 _* W) {      (wealth-sum-so-far / total-wealth)
: u" ]  a: C" \6 h$ C  ]9 `' S" l* X5 m' p3 M1 E5 I/ G) ~

0 Z& M- ]7 w1 g% [! ^% Q* h6 ]" k  set-current-plot "Gini-Index v. Time"
: r& E$ [& e  ?, ^" J8 w7 f  plot (gini-index-reserve / num-people) / area-of-equality-triangle2 G6 m0 e+ }% D. z6 m
end6 G; @( T! @& a) S- R+ q. ~
to-report area-of-equality-triangle
. S# m9 J0 g6 c# p8 Z  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)- v) a  S. c+ ]9 i4 i4 c
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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