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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: v+ v" b/ M. ]. c
globals( e9 K( _: y$ T$ i# _
[2 M  n2 T" K; H$ t
  max-grain    " \4 n  H  V, C2 z4 @

' |4 l( N" r' q! I/ A( G]
' G$ B- ?8 A! v" o& F- b$ P$ a8 U& d6 g( Z
patches-own
- E+ p: d* w" M' `( H8 O. R9 U; b[
" V" O% W$ {4 @4 }3 M9 J9 q8 _; L  grain-here      9 M& }, O  S2 K0 R2 u3 m+ f% ~
  max-grain-here  
+ J+ }5 }6 X8 b]$ \% ]1 U: x' p$ |' V

; Y" e$ A- r2 z" S4 Q$ D1 f. Xturtles-own6 E2 U+ l- y- Y5 a1 o4 g" p
[# U* H" {% Z! J* {+ @# h; q
  age              
5 n3 U! H3 U4 W5 t  wealth         
- E1 \3 F4 f/ W+ k% ?& K) y3 K  life-expectancy  
" V' Y  {4 u4 G3 c$ g  q8 O# j  metabolism      
% @8 t1 d% i$ e3 T% z  vision
/ w0 r0 J3 B5 M& q% f/ X  inherited         6 Z: C; Y5 f. @$ F9 \7 S, |
]( m& Z& w. N' T6 t# _

# U. H" W  p. N
. j8 W5 @$ l! Z2 ~to setup
) Q* X1 R6 Q! V4 H& \  ca/ o, o& u( {9 T3 A! l% o3 n6 Z
  set max-grain 507 {% M9 s5 D) N" S/ |) v* t% U
  setup-patches& @% k& t0 b4 F2 s- K' X
  setup-turtles
6 D, a: o4 Y( @  [* {' j3 a  setup-plots
3 Q: m8 D+ [2 ~& B+ G  update-plots  U* X7 ^1 ?2 k: v
end" Z4 l6 O3 ~5 x- R
to setup-patches
9 r4 H/ q- D5 f# H% r  ask patches
- R5 o: h& i; |1 m    [ set max-grain-here 0
" e. N, e) u$ e: |7 |! t7 |      if (random-float 100.0) <= percent-best-land
0 C' r- m6 z) q! @6 ^" B7 j+ t3 r5 f        [ set max-grain-here max-grain+ @6 o1 y9 r' l; |3 W* L* s9 n
          set grain-here max-grain-here ] ]
" Q, v6 M0 H, C# e/ b' ?. c  repeat 5
, f2 S( }$ t, {' S2 p. o    [ ask patches with [max-grain-here != 0]' d3 d% W2 E* z' y9 M6 X
        [ set grain-here max-grain-here ]8 J: \8 ^' x3 K) k: ~9 r: i
      diffuse grain-here 0.5 ]% @& K2 q" A, P( o0 R3 d$ p/ f3 \
  repeat 100 j6 |% G+ r  `, u5 c
    [ diffuse grain-here 0.5]         
# m( Z( z. x2 ~  x% h. x  ask patches
0 R7 a. |/ `9 i% t    [ set grain-here floor grain-here   
9 [0 G6 N, @3 t9 o      set max-grain-here grain-here      
1 x0 z4 o: v3 f# Z- e      recolor-patch ]) S8 A4 F% o+ J# ]% `3 S
end
' u1 H+ K5 ?1 h/ ~( hto recolor-patch  0 C/ m7 {1 O$ N! [* Z9 J
  set pcolor scale-color sky grain-here 0 max-grain( s6 @+ _8 u' c1 `
end
8 k9 ^" Y- S7 p& w$ \. ]to setup-turtles
. W. ^/ C. \& B8 D$ b  set-default-shape turtles "person"
9 k# s. q% l' R' w7 T9 }7 Y  crt num-people% H& u) E6 g3 K: k
    [ move-to one-of patches  5 ?+ r, o$ v4 \1 D- W# O& D
      set size 1.5  6 i7 h) u' `6 l8 A
      set-initial-turtle-vars-age
+ F) i  M. c/ N$ j8 |6 f% }5 m. S      set-initial-turtle-vars-wealth5 z) m' F* C+ t: M
      set age random life-expectancy ]
8 H5 A; \. N$ ~  recolor-turtles" N6 q) Q7 d! e# c
end
; _2 |* }' X1 M1 h
/ A' S6 }9 D, D2 f1 {: Fto set-initial-turtle-vars-age
3 c, `9 g5 l" {9 C1 p6 |2 k let max-wealth max [wealth] of turtles3 `' x4 @* ?* M
    8 T4 h8 k6 }( s/ T5 h! X
     ifelse (wealth <= max-wealth / 3)
, H. v+ {) A7 q$ W7 h! w        [ set color red
& A( V! x1 s; [6 U% J          set age 0+ ~1 _( U8 G3 U/ i+ {
          face one-of neighbors4 * r6 Q' \: `% X/ e( S8 I( Q
          set life-expectancy life-expectancy-min +
' q5 u; o7 h' r+ ^$ s' O                        random life-expectancy-max . j% ~( a+ w) n5 u  p* Q1 R
          set metabolism random 1 + metabolism-low
( m9 e) G3 g5 B4 d7 Y$ n2 q' }" `          set wealth metabolism + random 30
3 L+ R: {1 l% G# ?/ `) x          set vision 1 + random max-vision
& N, C' z0 i3 y4 A8 |             set wealth  wealth +  Wealth-inherited-low ]
. v. _: J! y# S        [ ifelse (wealth <= (max-wealth * 2 / 3))
" T. P5 l5 a) N% r2 w7 u            [ set color yellow   V. L/ v8 \# w" v
              set age 0( ]2 S1 J& y" o, q0 E+ }
              face one-of neighbors4
! r9 C+ A4 [# t3 g5 W              set life-expectancy life-expectancy-min +
$ r2 T9 Y5 G$ W# Q6 x1 f5 M                        random life-expectancy-max + 11 d' r' t2 E0 j! X& w% ]2 r4 |
              set metabolism  1 + random metabolism-mid6 r6 ?5 ^9 f& D
              set wealth metabolism + random 30
+ T+ E( W7 ^/ B* `0 [% f/ I' ~              set vision 3 + random max-vision3 a# S: A! t5 G3 T' D: u: V* s
                set wealth  wealth + Wealth-inherited-mid]
7 C) e5 |. s4 k( K: a) v            [ set color green ( E7 _9 Y8 Q, ?# D; c) h' ]
              set age 0
7 t  G% X+ x& i) A' {3 \/ I$ z+ ~              face one-of neighbors4 ) V$ g1 R; o. G1 U; d
              set life-expectancy life-expectancy-min +
; B, y, V, Q9 x, Q" w! W                        random life-expectancy-max  + 21 f: b) r3 e6 ]0 ~
              set metabolism 2 + random metabolism-up
; O9 R: ?, [4 ?; P* K8 M              set wealth metabolism + random 30  {. b9 M6 _9 P9 ^6 q* Q
              set vision 3 + random max-vision
' `2 k- i' D* |  F  z* V  L$ w2 O              set wealth  wealth + Wealth-inherited-up ] ] , m7 H6 m  P/ H0 l

$ `4 }, f; y9 b+ N- M) nend
. b1 x8 r4 K8 T! i/ c5 F7 \to set-initial-turtle-vars-wealth6 B8 H7 F) A% t# d# M* h
let max-wealth max [wealth] of turtles
" E3 `3 O% C, V( K4 f. t- t          set age 0
- T7 v6 \  g" |7 E          face one-of neighbors4 1 B: x3 @7 v/ H
          set life-expectancy life-expectancy-min +
  Y1 X* W) D# a! c                        random life-expectancy-max " }- V' j8 w7 l- }
          set metabolism 1 + random metabolism-up
- f* J+ q6 c  J" J( Z  g. q+ w          set wealth metabolism + random 304 S' e5 E# ~. Q: N& s  O
          set vision 1 + random max-vision 8 `& h& i3 w1 v
end
# Q9 ^2 u: m: g% H- B+ Wto redistribution% J& M1 s' h) i. b* ^+ g9 V
let max-wealth max [wealth] of turtles
" K* T  W3 E: ~. [* \" jlet min-wealth min [wealth] of turtles2 J6 T7 F8 \( g7 O4 Z
if (wealth <= max-wealth / 3)
4 b4 s! D( m+ P; F- g1 F) j3 R% u& o [set wealth  wealth + Low-income-protection ]* L% |/ I" S, \- y
end2 I, r& c5 N1 N% H7 a, {" H+ x8 s
          - \+ K9 |7 R. p0 e
to recolor-turtles* H# P7 w1 Z& K( I3 X* _, {
  let max-wealth max [wealth] of turtles
- U0 G. u" R2 D! @  ask turtles
4 X. x" d; H$ O  C( _   [ ifelse (wealth <= max-wealth / 3)
6 R, l7 T8 U; Q        [ set color red ]0 z/ U/ k" E, z% F1 S1 f
        [ ifelse (wealth <= (max-wealth * 2 / 3))% ]- J+ p' [4 Z9 k! r
            [ set color yellow ]
% C# l1 `$ K1 F% K) _            [ set color green ] ] ]
) o8 P' g6 L# O' _' A* B$ E! Y ask turtles [ifelse show-wealth?) }# B8 y4 [  c" {" c
    [ set label wealth ]/ a2 n3 C9 y" e0 s1 A
    [ set label "" ]]
4 z" S4 Y* ^# H; s  E5 Y+ Y9 eend
; E; A6 n. ?7 z; Q0 {7 N+ L
5 T1 _% e2 k! Tto go/ u+ k% m' Z/ G  O5 e) c' R
  ask turtles
9 J, o- ]% z) J- ^: d    [ turn-towards-grain ]  1 {  r- m6 N; g2 j) b
  harvest! b4 J. K" l% V4 ]5 t* r
  ask turtles! B6 P$ r+ j: i2 q! ]
    [ move-eat-age-die ]& y  |& H! c$ t
  recolor-turtles- l) {7 p7 ~( l; l  V% M" o0 O
  if ticks mod grain-growth-interval = 0$ K: y) c8 p( w4 }2 a, v
    [ ask patches [ grow-grain ] ]
% ?  ~$ A6 P2 u* t5 B   
5 A$ q$ z( p% d7 Q  if ticks mod 11 = 0
  e* y8 k$ P. |- ^, b) h2 g  [ask turtles
& _5 K  C% }' ~: m7 J! H  [ redistribution ]]
2 D3 a  [, u  ~5 K7 k  M  if ticks mod 5 = 0
% X, a- O' |7 |   [ask turtles
3 n: e& c2 s$ w  [ visions ]], M' {6 @" `, Q, W$ M
  tick# k/ w+ a( N  [
  update-plots
, A4 l' D) V7 g$ x- }0 Rend" ]3 W2 }% W' ]( {
to visions
: [( K! ?6 X7 W9 W8 U  _, ` set vision vision + 1
  S) E) v' L4 C% s+ s! {' Gend
* O9 h, q9 D8 Y  y: R$ Y# k4 i7 A& X3 h& {* s0 p, U& [

3 @0 \& h$ M4 z8 F5 }% Y6 ?6 M  i  P7 C$ [. M8 l3 B  X- ^2 k" d# |
to turn-towards-grain  & M8 x) \2 y& |. a9 U
  set heading 03 H, i- u8 t, |5 z+ o1 p0 A
  let best-direction 0! T. S4 c: A7 R, L8 f) I
  let best-amount grain-ahead
8 G8 x  ^) {6 N: W, g  h; q- a' h  F  set heading 90
/ z) j8 Y" ?$ y" Y! \4 C  if (grain-ahead > best-amount)
- s+ u3 y2 S# f& |& Y- e. U    [ set best-direction 90
' t% k7 d1 Q2 k% p! Q      set best-amount grain-ahead ]4 V' w3 J  Q* S( B: \2 }
  set heading 180
6 a( X( Q' S5 A1 e& U4 n& z% o  if (grain-ahead > best-amount)
5 x8 o; H; r& q* z. d9 e4 v    [ set best-direction 180
4 b! R6 r/ Y% w, c- m( K9 \! z! A      set best-amount grain-ahead ]
, j' [& D" L/ i8 b1 O# D  V  set heading 270
9 B8 S( G: O1 [$ u0 b1 U; N  if (grain-ahead > best-amount)+ F6 g$ D* V9 T' y$ i% I
    [ set best-direction 270
9 |( T, }6 @2 k! a' C- W      set best-amount grain-ahead ]
' ]" P+ S7 i+ K. N9 u) N  set heading best-direction7 E  n2 m9 H, L
end1 U8 i0 l* N7 @% \+ X+ B' F0 k
6 d* _0 J3 S' _, X* T

% M" h$ i& L1 j' R; d- N" K- Qto-report grain-ahead  
$ Z* J5 ]4 O; ]: V* k  let total 0  Q) J9 m+ L8 b* `4 m4 j
  let how-far 17 Z+ m& u1 N& ^2 l3 Z( H
  repeat vision
# d7 s; K; [9 ]% A1 k# M. _. ]    [ set total total + [grain-here] of patch-ahead how-far
# @; i% r; i1 D& \      set how-far how-far + 1 ]
5 ^' H5 `/ {5 K" l; O2 s2 \2 W  report total! ^" U# G3 y+ S9 E5 R$ H
end+ L- @/ M0 V$ W( Y- T0 E, o
  ?$ Q/ S* ^2 w  P- F8 m; T' u, M
to grow-grain $ [: j0 `( a! J+ _" o
  if (grain-here < max-grain-here)4 e/ b5 N% m8 J/ |% l% V: n2 z
    [ set grain-here grain-here + num-grain-grown
( l) |1 l7 V& A6 C0 r% k% C      if (grain-here > max-grain-here) / O7 z( M& e* n, ~6 J
        [ set grain-here max-grain-here ]7 C! R% v  o* G* F1 O% b+ k& \
      recolor-patch ]
) P. s8 B' \- b( Mend2 m7 W1 O- ^/ N4 M+ }! F" W: R
to harvest1 Q4 W) i( p+ ]5 [( i
  ask turtles
# t( n1 k, `  \0 x& f& t+ }    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
6 l: g( c; ], |2 ]8 R4 T% N  ask turtles
0 X  v7 J$ Z( i. T7 c    [ set grain-here 0! U/ H+ j8 _; X0 |2 n7 ^
      recolor-patch ]
" K5 c! Q9 V  w% ]) S' g  
% L9 W0 L: L9 d. \* Eend
& M- o: X9 L9 @
4 [% R4 f" Q; I  a  cto move-eat-age-die  
; C/ x, x# V$ |& P5 ^1 o' m  fd 1: W# I( ?  ~& }& B) }
  set wealth (wealth - metabolism)
. g& k- r* p$ _+ ]' U    set age (age + 1)& T0 E: V7 t7 |8 y! j9 U
  if (age >= life-expectancy)+ y" |6 H+ u% V
    [ set-initial-turtle-vars-age ]
5 {# Z$ c# W. K; @  if (wealth < 0)& `1 ?9 a9 I3 O9 u+ X3 |/ H$ R! l, _* Y
    [ set-initial-turtle-vars-wealth ]
; l. P2 U3 @1 j/ W! O* r    ' B( h1 S, {) Q/ x4 x5 r4 {
end) p( K! ]4 l" [) \+ _' p; |  V. e

0 m5 L. D& ]- E" m2 T2 z/ U( w; C; R. u$ F. i; G
to setup-plots2 b7 p: ~: g. `3 X7 o! G' \
  set-current-plot "Class Plot". F3 w4 h5 K3 L! ?* f6 O' T6 r
  set-plot-y-range 0 num-people
) ?" T! E2 y5 P! w7 w  set-current-plot "Class Histogram"" S9 P6 Y- a# b. E
  set-plot-y-range 0 num-people
1 }) `5 y& I- f+ i' x" Rend
. E/ l( e( L* H  K( x; P6 Q2 \" }8 v4 ^8 J1 N: S2 K6 @  K
to update-plots! M7 [/ h9 m( r3 V) ]5 A
  update-class-plot
, y4 n; A. b6 [: `9 Z  update-class-histogram
' q) ^1 `4 u6 A- x  [  update-lorenz-and-gini-plots4 z9 x$ ~" @2 D& z0 P
end4 i" m* k1 h: \  i
! q( ]/ F& {; U! I& J
to update-class-plot
4 Q6 h& B% M$ S" F4 X  set-current-plot "Class Plot"! I" S4 `+ S. ~4 v
  set-current-plot-pen "low"
7 f4 @) i* f9 E& z+ U  plot count turtles with [color = red]
! F: `) `; b6 L  set-current-plot-pen "mid"
8 I8 b5 M7 b1 V2 ~  plot count turtles with [color = yellow]
# z& l6 F) J* Y; i  set-current-plot-pen "up"6 O( A8 D& S0 z6 b1 x
  plot count turtles with [color = green]1 i, P& B5 Y2 s5 h! t9 w" x: F
end
- G+ L4 j0 D5 S+ @  b1 _
! E& j3 N- [3 d+ c# yto update-class-histogram
9 x0 h  @3 U: \  set-current-plot "Class Histogram"
5 }( H( ~9 I0 ^8 W! P% S% q  plot-pen-reset
2 t" [0 g' d9 f7 ]& A4 F" q/ Z  set-plot-pen-color red
. G2 z0 T+ @) Z  plot count turtles with [color = red]9 M" t# p- ^  h0 N5 w' @
  set-plot-pen-color yellow9 i5 `" f7 y0 H' H! ~) \
  plot count turtles with [color = yellow]
+ r2 i$ z" z( q# B2 [+ K  set-plot-pen-color green% }* G& @# r) m  S: s/ u/ J5 v3 F
  plot count turtles with [color = green]6 y/ S, ^) {! A, p7 X9 r
end
8 _0 y  \3 `' V( _* J8 e0 Fto update-lorenz-and-gini-plots' o1 W. H2 o7 q2 D: I
  set-current-plot "Lorenz Curve"
; ?* M) s1 R0 X8 X/ g; n  clear-plot' _. n# L- [) {
7 T/ G; V' }6 ]: _
  set-current-plot-pen "equal"
, g: R) e. r; ~# _$ Q  plot 0
, }! s; a, Q" S" d8 m9 Q3 j  plot 100! m1 u7 f# i+ I* v: h3 h

9 M/ l4 I4 k  e3 j2 q% g7 ~  set-current-plot-pen "lorenz"
% H3 p% t: M% t  set-plot-pen-interval 100 / num-people
7 ]: e) z( g7 g7 @' j' W  plot 0; l$ I7 p+ [& J6 L; K5 {" g

% ?" b1 q7 ]4 p  let sorted-wealths sort [wealth] of turtles( O& ~" G. p8 t& j5 w2 G0 P! ^
  let total-wealth sum sorted-wealths7 E; |$ K( ~( {+ |  C, ^
  let wealth-sum-so-far 0
5 [$ m- t2 H# \/ v  let index 0% D* q: S4 k% t$ x5 u- F( P8 F2 P
  let gini-index-reserve 0
! E* D5 s( {+ ~' Z7 x% F( i5 ?* m, _3 |6 F1 C' I, v
  repeat num-people [
: ?. Q& ?; v1 J4 l; f# N' g, E    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)& B* I* M) H5 @) J9 ^& {
    plot (wealth-sum-so-far / total-wealth) * 100) G7 {, [7 ~- T: M2 [7 W4 |& Q, d
    set index (index + 1)6 O7 }# R- l, A2 ^7 F. @9 p# x4 M4 K
    set gini-index-reserve. n+ V' k% k9 a4 Q. x
      gini-index-reserve +3 g/ E" G. u$ G8 O& E- A9 O1 L
      (index / num-people) -" n4 O7 P+ Y" g  m* n2 x
      (wealth-sum-so-far / total-wealth)7 w  |- u; {1 _/ I$ _- W: s
  ]5 X' t. y! I& c  N4 _3 Q

+ n4 z- G0 u% {' {( B  set-current-plot "Gini-Index v. Time"2 x& R7 h/ T, L- ?
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
- D# Z& M! e* X; f# I& pend6 |/ s7 _- ^2 M+ D- k
to-report area-of-equality-triangle  F" O6 E8 E' x
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)% G, O% ^- W3 L) e
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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