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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
9 X$ O8 z; k* L9 H7 ^! B5 ?globals7 R, Y" \: R4 n% r. k/ U
[4 h& l4 }1 t2 s9 s
  max-grain   
5 L" P! P* C  n7 B+ f3 k
" q) x+ b. D5 G* |]0 g+ ]6 x! V3 s# a

( S9 C5 v# H9 \2 K5 zpatches-own
) f, Z' z9 k! [( d8 }  M[- U2 ]# W/ h, L: T3 c! K
  grain-here      
4 P( W4 H* v( V* @1 E  max-grain-here  
! T7 Y; ~/ E; I% @2 g- B" L]
7 S4 t9 U: v9 m0 @: p$ T# T- e3 \  u. p! n
turtles-own
% T% q8 `+ i6 V& b[. ~: F* E+ t( A  `
  age              9 I. T4 D! C' P, c7 X: \8 a
  wealth         ; b/ [* s0 K# T% i; a3 H
  life-expectancy  # F1 J$ \6 y) y8 {# Z( L2 e! i
  metabolism      
2 J/ G. h: F; O! m1 x  vision0 _8 e& B- z$ I$ p4 p6 u
  inherited         " V0 R) P- Q9 k3 ]
]- h" A; z# x1 C3 ?9 ~6 D

; G) l- I! u" }, o
6 n$ J3 b  E& w  Ato setup
! J" ]& R1 Z, I! U  Q! y2 N. f  ca
7 ?' j7 ~* E- J" T9 w  set max-grain 505 n3 n5 s/ g' Z4 p# S! Y
  setup-patches
& x( |7 L/ X4 H$ u  setup-turtles) _& X+ j9 x1 _+ \& C
  setup-plots* s- k, o$ o( |  Q) q3 d
  update-plots/ n8 ]* K  \  {- ~5 U/ @
end
- ?. f$ h1 Y, J2 n/ D) o0 h6 z  \to setup-patches
/ T  K3 \9 [+ u9 a- A6 c! f  ask patches
4 `" y% q4 w# o1 e7 N    [ set max-grain-here 07 W+ y2 n$ ?: `) l
      if (random-float 100.0) <= percent-best-land3 k4 W) o) p0 B6 R! n( o
        [ set max-grain-here max-grain: a4 F0 I, z" M8 @) e
          set grain-here max-grain-here ] ]* R- T0 K" C! A+ J& u( U/ _
  repeat 56 P% n/ m( b- o  F4 \" k: S
    [ ask patches with [max-grain-here != 0]3 k3 m! P3 Z) r6 ?
        [ set grain-here max-grain-here ]9 F8 B. ^% G  g. `. O0 _9 a; z$ k* k2 B
      diffuse grain-here 0.5 ]
$ e/ Q7 S9 i# U: R; P  repeat 10
% H+ K) l1 L+ t% Y# Q( G    [ diffuse grain-here 0.5]          % k6 H& N6 K" X8 v! _
  ask patches
% i2 w1 A0 Y) P$ ^; k2 ~) b    [ set grain-here floor grain-here    6 O; ?+ v, s  v& @
      set max-grain-here grain-here      
/ H* u" {7 H8 L3 f      recolor-patch ]  W! H) |" u, M/ t/ F
end) u0 \- x, Y" j$ S
to recolor-patch  
; `& z/ b  I- o  set pcolor scale-color sky grain-here 0 max-grain
1 P: h2 P" N- S& Yend' s; ]" {$ y/ p9 D9 G
to setup-turtles2 y$ g, p3 K, H2 F% `8 u! \4 \
  set-default-shape turtles "person". l1 n7 E' A1 q- [$ ]9 W3 [
  crt num-people
+ i$ `: G& z# k: p- o/ X    [ move-to one-of patches  
3 r$ T  I4 o! d& _      set size 1.5  
* R, f5 ^9 ^5 |) f' `1 S      set-initial-turtle-vars-age
! h# V* h* ~9 R( S" ?/ F% B6 h( D      set-initial-turtle-vars-wealth
/ @- ]7 i) Z. s( c      set age random life-expectancy ]
6 r2 x& A* W( e0 n, x8 V2 N  recolor-turtles
0 p! l# M6 {& Cend
+ {" t4 {5 V' Q% M$ F0 ]9 B- \% J2 u* n' j$ B
to set-initial-turtle-vars-age
9 @( ~6 L8 h: X let max-wealth max [wealth] of turtles% P, m5 P5 ]. ]# N$ o
    1 J! `$ \+ k' x/ ~& l3 H. j+ z
     ifelse (wealth <= max-wealth / 3)0 h8 @$ Y! X" A3 o
        [ set color red " I, y0 d. Y/ ]/ Q* V- G$ P
          set age 09 |2 |* p) B5 N, i. m
          face one-of neighbors4
6 i! a7 X4 S% y- a0 d  J: j          set life-expectancy life-expectancy-min +
2 `3 h' a( E) x( N. u! B. [+ ~5 f                        random life-expectancy-max
; _+ F" X% @( E/ H, j          set metabolism random 1 + metabolism-low+ z* s0 r4 F9 j7 f& r- u
          set wealth metabolism + random 30/ e6 c3 n6 F8 V" a0 v1 x. ?7 @1 f9 {
          set vision 1 + random max-vision/ a4 L  Z9 ]& W. |( h1 `4 ^7 e  ?
             set wealth  wealth +  Wealth-inherited-low ]
! w' B) G/ `# p4 H. N; R: V        [ ifelse (wealth <= (max-wealth * 2 / 3))
! |: `* D% W7 P0 Z5 X5 }- h            [ set color yellow
9 t* @2 u) S& U              set age 0+ \1 X1 _( P8 }0 T
              face one-of neighbors4 6 h; y* `& w7 s2 v. {: D
              set life-expectancy life-expectancy-min +  I. A" g9 u' K- R
                        random life-expectancy-max + 1
  O$ |' m& R* B6 y              set metabolism  1 + random metabolism-mid
5 s2 r8 [9 I( k! r+ Z0 p9 ^              set wealth metabolism + random 30
2 g* e+ i' K/ T% r: I/ ]              set vision 3 + random max-vision, u4 Y; n! A5 L& ]; i7 q" o
                set wealth  wealth + Wealth-inherited-mid]
0 W3 u: ~% N  J6 d% C            [ set color green
7 f- V4 Q/ @. ?  P/ Y              set age 02 w# X. ~! D+ B  R, f
              face one-of neighbors4
! X5 w  T& ?5 b% D1 @  T+ p9 u              set life-expectancy life-expectancy-min +
  ^) p% p1 c7 D/ g4 W9 ?                        random life-expectancy-max  + 2
  ^( m$ }4 R# ~, _. @- |- y% _              set metabolism 2 + random metabolism-up4 ^* L: p, R! g1 m
              set wealth metabolism + random 30! U; B0 P: l: z1 G3 H
              set vision 3 + random max-vision7 E) ]/ {. R& O; o+ j# {
              set wealth  wealth + Wealth-inherited-up ] ] . Y( L- S+ h( Y6 z

. q, U  V" ]) H  p  |4 _end% j+ a1 x6 R3 b( j- ]8 p
to set-initial-turtle-vars-wealth2 w) k9 P! {6 m$ f6 Q: o
let max-wealth max [wealth] of turtles
/ P1 b, H- M9 C1 J3 {" f9 ~          set age 0; T! \7 X) Y( ^+ q2 j+ j5 v, `+ |
          face one-of neighbors4
+ P& X2 ?* q" c1 M% _9 r          set life-expectancy life-expectancy-min +4 ?. P, U/ {: h4 E* P/ N. Y
                        random life-expectancy-max
* K) t( n8 J$ G, u          set metabolism 1 + random metabolism-up' |8 ^" a4 e8 E$ b# V( ?5 D
          set wealth metabolism + random 30( b# J+ T  }2 y  w$ ~
          set vision 1 + random max-vision
0 n5 R/ \4 \0 Dend
# L+ M6 r. j2 D5 K5 Uto redistribution
9 h1 W! L: ]  T/ p: m/ s. ]) |let max-wealth max [wealth] of turtles
* b2 [( k1 K$ [7 \7 j" ulet min-wealth min [wealth] of turtles
! K+ v/ r- ~" s* U* Jif (wealth <= max-wealth / 3)
5 h. P1 k3 h" c, g; D [set wealth  wealth + Low-income-protection ]% [  g4 q: A1 U2 Q
end1 N5 d4 t5 v) g. t2 M3 S* @
         
3 ^, _% X* Z' R8 h# `" C$ sto recolor-turtles) G5 m3 ?8 _9 e. D" u
  let max-wealth max [wealth] of turtles6 c; z) S3 b) o; e- E5 r' R# j2 T& T, b
  ask turtles$ r# \! j5 @2 B% _3 s7 C8 ~
   [ ifelse (wealth <= max-wealth / 3)
# j. Z' m6 f+ J6 L        [ set color red ]
2 ]: _! B! d3 P$ e) _5 _% y        [ ifelse (wealth <= (max-wealth * 2 / 3))3 t. p  s" S! n/ N. ~) r7 f
            [ set color yellow ]: v4 a3 B- e  {
            [ set color green ] ] ]
) ]- P% ]' D8 j3 s! _ ask turtles [ifelse show-wealth?3 e/ U4 d# V8 B; [
    [ set label wealth ]/ m) Y* i( b' _/ r1 v+ \  o
    [ set label "" ]]
- s! n  C7 ^( p- W+ s# C3 p  ]end2 |) _5 B: ~9 K- E# D! k

, h' |. i* k8 p" h% fto go
9 n9 ~( A# |) I' r  ask turtles
- R, P) h6 y- f3 o* Z    [ turn-towards-grain ]  
# E: z3 \% z, X: F' {  harvest+ t4 H( i  \. T
  ask turtles
$ P: f, N3 N4 k    [ move-eat-age-die ]
1 A; F/ y0 \6 {# ^  e' N  recolor-turtles" Y3 A. T) s  M8 w5 e6 ^8 y
  if ticks mod grain-growth-interval = 06 V* s4 |* j, }& |0 \3 t( m  X2 U
    [ ask patches [ grow-grain ] ], b% \& b3 k# ?5 H$ ]" |
   6 t" i" p; X8 ]5 W5 d' M; ~
  if ticks mod 11 = 0
. z9 Y* ?; f# F2 \( X  [ask turtles- D0 g8 T& b3 k4 D( b
  [ redistribution ]]: n; X3 h; B9 a5 U* }
  if ticks mod 5 = 0
5 ^1 h" R8 m4 q5 P# ^) i, i. ]   [ask turtles5 t+ ~7 x1 V8 ^8 h, ?8 _, H, \
  [ visions ]]/ P  j+ Z1 @- r/ [
  tick1 F7 Y% C$ }% f) W  X; I
  update-plots$ c# e/ b- D' j) V& d6 r# `$ h
end
# `& I0 l; u( `1 _2 Qto visions
  U* H0 v5 L* h7 i# S. s' i set vision vision + 1
3 M1 U3 G1 H; W5 N3 U' Fend
& p& r6 d4 N% i0 n8 |  f
- d1 y9 `/ `: s8 o% b/ X* Q4 c9 W2 h4 @2 {  _% N
; L( P* r" y$ u1 r
to turn-towards-grain  
1 O/ E2 H9 M- B$ s  set heading 0
$ ]+ N# O. k# y+ k  let best-direction 0/ p8 c" [! H2 X$ I" q
  let best-amount grain-ahead
4 F9 {; {& M6 x& N, {6 ]" `! a  set heading 905 p+ E: d" a) Q; f: f
  if (grain-ahead > best-amount)# W4 O; e8 ~9 I  d
    [ set best-direction 90+ i  [5 K, I! n$ Y, y6 F& U
      set best-amount grain-ahead ]) N0 ?& X' O) {2 \. |
  set heading 180
8 Z- L  A1 ^* r6 N9 r* [3 p+ D  _  if (grain-ahead > best-amount)4 R: M" q. X8 @/ v/ V6 y: C  D3 r
    [ set best-direction 180
$ p  H% o9 g0 d+ S/ s      set best-amount grain-ahead ]3 ]0 [( |1 w9 `2 c. D
  set heading 270
% `& [9 c2 ~' G3 t# O  if (grain-ahead > best-amount)# R% M$ i' H  T! \, b& \# B- O: W
    [ set best-direction 270- T( v1 T  D% X7 ]& J
      set best-amount grain-ahead ]6 w, V+ L  J7 r! y, Q6 l; T4 t4 I
  set heading best-direction
6 `% s' ]# m4 L3 ~. v1 i- J7 tend
0 C7 D) _; Z8 W* G; R0 i* {
$ n0 O* g& R" M( E: d, _& @& e
0 R* \. ]4 ?3 ^% K( U' F2 I0 kto-report grain-ahead  
4 C1 k( u3 t/ E9 w- V3 H+ o- _2 h/ m: t; R  let total 0
* F1 ]( |$ I+ L4 ~! P4 }1 o1 ~  let how-far 1
1 C4 f0 I2 V$ I( W/ X# K  repeat vision, ]2 C* q, S$ H* e+ C" \1 M
    [ set total total + [grain-here] of patch-ahead how-far
0 [9 i% I) O+ a1 d6 L9 ?      set how-far how-far + 1 ]% S+ H% J# S) y4 ^# l6 b
  report total6 S2 j/ B+ R* W1 R1 n
end
" ~8 G+ N6 ?6 B2 B& D& S: ^! Z
8 _9 [. m1 M# B% R* j0 xto grow-grain 7 _$ h" Q% k0 g( D! h
  if (grain-here < max-grain-here)
  x- u, }9 f) ?0 @% x1 r    [ set grain-here grain-here + num-grain-grown( g* f6 R6 Q  o9 `* \
      if (grain-here > max-grain-here) 9 r5 F* d, A0 q
        [ set grain-here max-grain-here ]8 a$ H8 l) J/ i/ Q0 e4 T
      recolor-patch ]8 a2 v0 i7 A$ t/ S+ y+ _
end
( M1 G$ H/ R. r) U6 g+ o7 kto harvest& p# [9 U. H1 I: X9 [
  ask turtles6 {; T* |$ g/ Q3 w9 |" F4 o2 |
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]1 [, g% L0 U) d
  ask turtles* i# e  t; i1 {: Q' y- x, }
    [ set grain-here 0; C, X( N3 M* P3 J+ E' g2 ?( B
      recolor-patch ]
  e1 g& _* V% f# U3 `  , ]. t& I, _: ~
end
) Z0 n8 s* _$ o- ^  N3 v
. H! Z# Q/ n5 K( ito move-eat-age-die  5 \# G4 d# v' Y  f/ k8 D. L. b
  fd 1
2 w& o7 N8 V) U9 k+ d) B8 _  set wealth (wealth - metabolism)
3 v1 S9 s2 m. c8 h    set age (age + 1)+ H8 E8 Y1 F% y1 M1 {" F
  if (age >= life-expectancy)5 p- S5 r; y1 z1 c3 y& n
    [ set-initial-turtle-vars-age ]' w! ]$ }2 e; d
  if (wealth < 0)( w8 a* L: t4 p/ \% }1 U; g
    [ set-initial-turtle-vars-wealth ]
; m, S3 M' Q$ W( _+ S    ; C# t) C6 G9 t9 d- I/ p, p1 U
end
3 \8 m0 A4 Y3 t" q+ @5 A7 [2 B' n+ w6 x" Y$ B' ~& j( W7 x2 K

% c. z; }2 X$ G( Oto setup-plots  j" G/ A" q* Y0 w2 U: O. u# Z
  set-current-plot "Class Plot". U0 J8 j3 I0 C' A$ T! j
  set-plot-y-range 0 num-people
- }: f( c$ U  T& o) y( W  set-current-plot "Class Histogram"
9 D& K: @& ?, S* g) ~* B, |; ^* I  set-plot-y-range 0 num-people) |1 U$ M9 t9 U5 Q4 |2 p
end+ v; A  [" u& P6 U. C) [  f
* ?1 w, E. j1 w" h0 {& S
to update-plots
; C7 R1 u) K% d+ A/ M  update-class-plot
- |  S5 C0 d4 ~! Y: Y) X+ U  update-class-histogram
4 q" X5 n( s& F5 y  update-lorenz-and-gini-plots
& S: _4 `* O3 K* ?, y1 Xend
5 n* M( t; m, X. e4 p" c
+ d# _  `9 I8 k( C7 H3 Ito update-class-plot: w5 D  @; o2 `: X: A4 r& X
  set-current-plot "Class Plot"
1 F6 f7 R3 A/ }  set-current-plot-pen "low"
+ A9 L) c# m6 F8 G! q  plot count turtles with [color = red]
# j# @" f3 s, n' G$ n  set-current-plot-pen "mid"
0 `( U) H  m( Z4 r  plot count turtles with [color = yellow]& W3 i" E9 y( D7 d$ e: n; @
  set-current-plot-pen "up"/ u, d% K; \# t6 T: K3 P+ _
  plot count turtles with [color = green]
9 y1 |5 n8 k2 @4 B* |% @& H$ Bend- i' g/ Z5 E5 [" R. U  c5 L
8 [* V. o: V$ i8 ?: S8 x: A( N& x
to update-class-histogram
! K9 B) V4 {+ \8 r  set-current-plot "Class Histogram". k7 g" ?" R; }& c
  plot-pen-reset5 @# I9 ~% P+ V7 [$ C' P' G4 }
  set-plot-pen-color red7 k% G; `) @$ w$ A9 U, ~
  plot count turtles with [color = red]. A$ D  e" N  D' I) l  h
  set-plot-pen-color yellow
/ h" C$ v, b& l! s' E  plot count turtles with [color = yellow]' V) i: Q# ~3 |
  set-plot-pen-color green2 w; y( i2 A$ f' D7 H
  plot count turtles with [color = green]  s$ |% h0 D- [
end
# B2 Z- p& x" I7 r  n* rto update-lorenz-and-gini-plots; t$ m+ A) Q3 j: Z) h: z4 z7 s
  set-current-plot "Lorenz Curve"
) B4 t2 h0 s& N( x8 B4 U$ ?  clear-plot
- o8 O' K; o/ T( P. D7 ~# [/ p3 ^# S) w2 V
  set-current-plot-pen "equal"
* a( g( |1 g3 C% h6 |8 E3 U# |  plot 0
! C- [# i! i* d) z( G- t7 U  plot 100
- i9 P( O9 }( E" ]7 X0 P8 e6 N9 i* q$ L( y
  set-current-plot-pen "lorenz"
8 K! A; C$ p5 g  set-plot-pen-interval 100 / num-people
" y8 d2 [* ^' Q6 t" ]  plot 0
( c4 U1 w5 X7 @, e1 U* \: u
* T' U$ x/ f4 k0 k  let sorted-wealths sort [wealth] of turtles# g8 i7 }: f+ U4 `; f# F- P! B) V
  let total-wealth sum sorted-wealths
% f4 e* V; [. [0 c  let wealth-sum-so-far 0
9 I: d- m( T# H5 r/ u  let index 00 Y6 T4 P0 H* i% d
  let gini-index-reserve 0
+ ^8 ^/ }4 X6 p% e+ R( P
9 P8 ?3 u$ u7 Y7 M  repeat num-people [; F; f: F& U3 U* d! [
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)1 t9 b. ]7 {9 E6 R6 X3 o' g& c- S
    plot (wealth-sum-so-far / total-wealth) * 100
. g; }: C6 a1 W' \0 \    set index (index + 1)& Y( i* t  |4 Z
    set gini-index-reserve8 c4 z( Y4 ^) X/ v* B
      gini-index-reserve +
! z8 V4 e& ~) q: s' r$ v6 }* ?      (index / num-people) -
; _3 k+ F+ B6 v' B( a* P      (wealth-sum-so-far / total-wealth)
! S  a$ X" ?9 _1 ^  ]
2 ~6 p- G  q& d; u% |, l& l) J3 G# a
  set-current-plot "Gini-Index v. Time"
* t: T' P3 N7 L  plot (gini-index-reserve / num-people) / area-of-equality-triangle4 a7 @3 \) s) `' W# ?+ ?8 l; C, p
end* s' |/ h) G" ^* x4 l
to-report area-of-equality-triangle" u  F$ ?& m: s  \
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
) d( {. w; v" u5 O' Z3 D2 R: @0 M% c5 ~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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