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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! t4 \* b. f+ x# g6 K
globals
6 O$ d, R+ D% l+ }1 W3 W[
* w8 M  C2 ~/ [- q8 y  max-grain    # g/ V+ t! x1 s! {  p8 p

; c3 F/ y4 u4 C( q, t1 g' z/ J]( [& m1 c; h' I; }" F% l  i

5 z( W0 |1 h1 N: s$ zpatches-own" r) l4 ~- h4 U, X+ Y
[
. O- Q' ~3 |! A" L+ t/ T  grain-here      
" V: C' h! A; d( ?% y! j  max-grain-here  
* A, {9 `0 x7 L8 I/ H]  O% h$ ~8 g) m& T7 \+ ^! V% S
0 L7 |& s! f9 m8 W- D% p0 M
turtles-own7 R& j) o  \( n8 R( r
[6 R' Q& I, a9 R0 y( c7 ~
  age              & r2 A2 [1 |' Q: P: G" a6 W! r
  wealth         5 ]$ L) w: K' L# G, i0 u1 p2 Z9 K
  life-expectancy  2 P% s, V% F; B% u
  metabolism      
3 I  h+ p6 z* A6 K: K  vision' J# z, M* l( b( d; N9 ~% @3 ~
  inherited         ! n* E4 ^# p) y  X( V* x
]
, W/ s4 r( \7 m6 T' L; Y0 [9 R0 k$ J& D9 A) T6 |  D
; Q0 x% |- y3 l! j% n. R$ N  @
to setup
% q' f5 _( t7 d' f6 u; f& ?  ca
/ L" t  e4 _! D  set max-grain 50; R6 L  p( g; R% ?" d" j
  setup-patches
# T- W# n, a- ?. I1 P  setup-turtles8 o. ?: q8 f, p# B. c9 a
  setup-plots
$ m/ y2 M$ ^5 B6 W  update-plots
7 U# ]! G+ }4 U# X: e6 }' M. {end0 R0 I8 ?) C( l0 s' Q: B0 {
to setup-patches* K1 M# `0 s7 Y' w5 @# t( a4 q+ W4 v
  ask patches" w* f9 o( \" ]9 n& k8 k
    [ set max-grain-here 00 _# R. ?, S! m, g0 r  v7 n+ ^9 K
      if (random-float 100.0) <= percent-best-land! D" ?& K+ u0 @5 V4 t* y  b
        [ set max-grain-here max-grain
/ o" Z5 A( L  |6 i          set grain-here max-grain-here ] ]# z, v( y( A$ ?
  repeat 5& O% L, [6 K, J* S$ b
    [ ask patches with [max-grain-here != 0]
8 B% q1 F( h* L        [ set grain-here max-grain-here ]
; p* P9 {( W- y0 U, m      diffuse grain-here 0.5 ]/ T+ ~9 q+ U" L8 n7 n
  repeat 10
+ [* d& m" e# t4 I9 I    [ diffuse grain-here 0.5]          & u; u5 B, W; E% d
  ask patches1 q6 c2 p; ~& p# ~
    [ set grain-here floor grain-here    " X; _, w( s% ]* }  S+ T7 i
      set max-grain-here grain-here      6 d. _: g* _' b3 V7 Z" q
      recolor-patch ]+ V( i8 }/ V* f3 `% c: l9 ?  `0 J
end
; r; b* I& K4 n- }to recolor-patch  ! n. o1 T- U- P* I# s
  set pcolor scale-color sky grain-here 0 max-grain
0 I! m" ^& k* b/ R& O3 P# y0 Gend
1 s7 d8 J5 C- _1 q3 T' F0 }% Lto setup-turtles- E5 A2 s: f9 ?/ X. Y* L8 l3 ~
  set-default-shape turtles "person"
3 H3 y( R) A9 i' t- Y' {& Q  crt num-people
2 N! C. S( D: m- c6 c3 ?- {    [ move-to one-of patches  
5 X, p+ w$ _/ t  S. k& J      set size 1.5  
( P& R& h; ?: _) ]0 {      set-initial-turtle-vars-age" Y' D1 W0 y% U- }
      set-initial-turtle-vars-wealth
" _4 Q5 \8 g0 Y      set age random life-expectancy ]8 O6 E5 U: a) M
  recolor-turtles0 B* X) \6 c# t8 ]9 z5 `8 E0 D
end9 j1 A6 @% f, p+ H/ i

/ D9 ^# c% M& rto set-initial-turtle-vars-age6 w( ~+ I0 U' d( t5 L
let max-wealth max [wealth] of turtles/ L* \4 K- V" t4 G& m) V4 O0 M
    / c2 P. o; V( l4 @$ u. l# @
     ifelse (wealth <= max-wealth / 3)" g/ [* H. H, j
        [ set color red ' ^! H' K! r9 O0 K6 h1 \$ E
          set age 0$ X, l9 {7 |1 w9 C5 h
          face one-of neighbors4
; {. O1 a' t, A/ @/ @          set life-expectancy life-expectancy-min +
. d# _, u1 D$ j, @                        random life-expectancy-max
# j/ p1 I% t' }4 e          set metabolism random 1 + metabolism-low
# L- r& `' p) c/ Y% B1 u7 u* l6 u          set wealth metabolism + random 30% j9 |+ R- q! t6 h) e
          set vision 1 + random max-vision
; |7 C/ K9 H% S1 F& r* N7 `- H" p' Y             set wealth  wealth +  Wealth-inherited-low ]
7 c% h) I; q3 ]0 Q6 s+ }# P& Z  e% x        [ ifelse (wealth <= (max-wealth * 2 / 3))
1 k' V$ N. r2 ^3 e5 l            [ set color yellow
) c6 T9 y5 n) ~4 `, l& `              set age 03 Z* d0 x2 |/ \
              face one-of neighbors4 , m8 {( I) E, }
              set life-expectancy life-expectancy-min +
8 i: x& Y0 S, m  ]                        random life-expectancy-max + 1( X1 M5 w- n1 f4 F8 m
              set metabolism  1 + random metabolism-mid; Z: G( P4 B! V$ Z: F
              set wealth metabolism + random 303 j4 w- I. s" C2 ]1 f' L  u
              set vision 3 + random max-vision# V$ v1 S- t5 ?9 ^7 ~
                set wealth  wealth + Wealth-inherited-mid]
  ]6 U2 v  M/ o& J# J. X            [ set color green
) M% [9 d  H% G              set age 0- S: R* w) o' f, F- V1 P5 d/ }
              face one-of neighbors4 6 Z: R: L& V) I& U5 c8 m) z/ T
              set life-expectancy life-expectancy-min +
+ T, U# i8 ~4 M3 L; @3 I" w, U' A                        random life-expectancy-max  + 27 E6 |4 p# B8 V+ E
              set metabolism 2 + random metabolism-up3 B2 z5 i/ g# n' F3 E. w! Y
              set wealth metabolism + random 30) H' A1 V9 T1 h  u( V
              set vision 3 + random max-vision
$ P! j8 n0 l( X# @' d7 q              set wealth  wealth + Wealth-inherited-up ] ]
( e! F( s, B3 L% ^2 t9 Y
! w. c3 D( h9 `* S, @& Qend7 J5 O5 e" p  m% s
to set-initial-turtle-vars-wealth
% c) t2 B8 i) D, k* W# U4 d- @ let max-wealth max [wealth] of turtles
2 m5 i6 i$ T9 d( g9 {) n' w; f& G          set age 0% d# J# C2 x: o- }
          face one-of neighbors4 2 V$ \' F; l9 \4 p6 ?) X& j
          set life-expectancy life-expectancy-min +
" ?" V: n* K( P0 g                        random life-expectancy-max
! o" i( K% a' _* ]          set metabolism 1 + random metabolism-up! E' `1 ^% G" {$ d- D
          set wealth metabolism + random 302 W1 ?2 Y6 \  h$ E2 L. w* b
          set vision 1 + random max-vision 1 g* t3 u- D3 }* ]) o% n" Q" |
end( P% ]( g1 l9 C* M. }9 J* A  z0 e. S$ z
to redistribution
. I( K3 D- X9 t/ Z, L7 O0 Clet max-wealth max [wealth] of turtles
; `) V) U! K1 G; O( x8 m1 E  P& Jlet min-wealth min [wealth] of turtles
5 c+ R8 E# C, i) o+ H$ v! B7 Vif (wealth <= max-wealth / 3)5 Q2 }+ ?' a* s# g+ w( D! r* q
[set wealth  wealth + Low-income-protection ]  G& [( ~. k9 ~2 B- G, ^
end
! ^/ p; p' F+ L9 c4 `& t         
* Y1 D1 z- W) e4 e2 G- jto recolor-turtles9 e  T5 g. G0 }- ^* g
  let max-wealth max [wealth] of turtles
" W4 E* Q" B. S  k: k2 h4 @  ask turtles( A2 _( `: h7 l2 ?% u/ B2 b0 e
   [ ifelse (wealth <= max-wealth / 3)' l6 t+ t* M: U, _" E4 f7 [5 j2 @
        [ set color red ]) H" v: K0 W& z7 ~$ @
        [ ifelse (wealth <= (max-wealth * 2 / 3))
# w2 C. U  ]8 P! L0 N: N9 |1 o$ S            [ set color yellow ]
4 b7 g# S6 ^9 x' X1 q            [ set color green ] ] ]" ]1 `$ e1 q; W
ask turtles [ifelse show-wealth?
* p( a0 o5 P8 A8 T    [ set label wealth ]! e/ ~% A7 `$ ^( ^
    [ set label "" ]]
5 x1 Q7 S; T5 [6 N) d9 t+ Hend! H4 X. q" ]3 e) J0 P7 l1 p
0 p8 S# G* l& k. J% L
to go* }" b  v- P* M9 u
  ask turtles& b' h3 l9 s/ W1 S
    [ turn-towards-grain ]  
* b5 u- f8 Y1 h3 U- `  harvest- ~% ~# ~7 w0 l# q% o' l- x- A
  ask turtles8 D. k% D+ [9 \, ^$ u: f3 k
    [ move-eat-age-die ]
# J$ Q. ?2 Z. Q( k1 a  recolor-turtles% Q: h$ O7 K& ]' c7 o% `/ y+ @; r/ E
  if ticks mod grain-growth-interval = 0
/ V% i% [: M0 M    [ ask patches [ grow-grain ] ]
8 F) {8 v: _! U4 q. b2 \( h+ O2 D   1 c, v1 g  i4 {$ j2 ^
  if ticks mod 11 = 08 f3 ~3 Z1 m4 ^  L4 x) u6 i/ @
  [ask turtles
! i3 y2 c- B; _2 o+ ~  [ redistribution ]]) `5 o! p. d, j+ [: C" n
  if ticks mod 5 = 0
) |( v# F9 l& \* M3 r2 {, I   [ask turtles! ]  d  _, r) c9 R- A) u' B/ H
  [ visions ]]
$ _. K$ P( F( E  tick
% g6 y8 N' M: D+ w6 r) q' b  update-plots
1 a( Y) Z2 s4 D4 D& F# uend
- h, D2 G/ r. O3 T" f. Lto visions
1 [& C& a! T2 k* W) | set vision vision + 1 , Q; ~2 a! Q8 T' y' k
end
8 k7 X: R$ X. N9 W
9 S, B0 @1 S+ j3 ?6 D0 B% Q7 {* `/ ]" Q% _! b" ~

+ v3 b0 h" H4 H1 _. v/ Tto turn-towards-grain  
- ^* s. A8 I. x3 B4 \  set heading 0
8 w/ s! f0 V0 c. E' v0 C& R  let best-direction 0
. V# k# v& u' ^  let best-amount grain-ahead% X. P( w& j9 g
  set heading 90
. J1 O' h. g; y" L& I; D* `  if (grain-ahead > best-amount)5 l  I+ I; F2 \8 `8 L  e8 Y" y
    [ set best-direction 90! A/ k' D% u; v: |6 E* U
      set best-amount grain-ahead ]5 e- b( `8 P# Q5 s
  set heading 180
2 @- y: l& A5 Q& s( I9 a  if (grain-ahead > best-amount)
! w$ k* ?7 G' V0 Q1 g% d    [ set best-direction 1807 @3 e6 ~" \! q6 n9 ?* D! f
      set best-amount grain-ahead ]# l4 U+ J8 k# _. h! I
  set heading 270$ i. y4 q7 J4 K% E
  if (grain-ahead > best-amount)( ]: F6 h# `' @: Q
    [ set best-direction 270
! F6 ^, m* J2 X5 @      set best-amount grain-ahead ]& y8 u( k* c9 u! E6 G4 ?1 p
  set heading best-direction
8 L) v; r! q9 U8 Wend3 _5 k6 O) n1 z' b6 _9 P+ W# q
! y5 u! h2 x6 a% N, {
' E  B3 I% S$ F. z; [+ n
to-report grain-ahead  $ w3 A) v: R# @3 t- q9 E6 U
  let total 0" C1 B2 M4 Z1 g. T% v2 a
  let how-far 1
% J! y4 n5 `# w& p2 o  repeat vision
/ J0 m8 \+ a- d    [ set total total + [grain-here] of patch-ahead how-far
, _& _+ ?, P% x' v( f" L      set how-far how-far + 1 ]# \! [) [( `1 n. E  J
  report total. i! Y  C4 t0 ], M/ U
end
) |3 ?5 L+ k+ x4 a3 N; v$ m# U: ?; X2 [5 M9 F' |. u
to grow-grain
4 z' X6 ]+ P5 [. v: w$ {  if (grain-here < max-grain-here)
- l  M2 q7 m4 o6 [' I    [ set grain-here grain-here + num-grain-grown
$ j/ q" f+ H" R2 d. v; z3 K* ]      if (grain-here > max-grain-here) 3 B6 S. _5 C' z1 O; g
        [ set grain-here max-grain-here ]# y+ f& O6 y! z1 }7 T2 F! e
      recolor-patch ]
5 }! l! H2 a4 b# f5 H# @end7 Z, [9 I% Z% s6 i1 M  B) @/ y" }
to harvest
3 O- U. V2 n7 t  ask turtles
! |/ s/ j* Q( D. `' B0 U0 _    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]  Q1 i* i; ^( T' \
  ask turtles& ^3 ?- v7 {. n) b- n5 E
    [ set grain-here 0
( G+ h+ m* W6 `. `. M+ z' Y$ z& V      recolor-patch ]
; y. z. M/ }% y  L9 \0 U- u& u' V  * j; J! L  _* W; |: c
end
% U3 ~& k. Q6 N( O' g9 o7 S& s) k. q* J
to move-eat-age-die  . E. k( V: G% a4 F
  fd 1
9 x4 p5 h7 I' L6 H2 |  set wealth (wealth - metabolism); D4 A, O6 W8 @8 f" f  W
    set age (age + 1)
3 P' Z7 m* \. O5 B  if (age >= life-expectancy)
) a( w- v; [' _1 E+ F    [ set-initial-turtle-vars-age ]9 Z, m# J* a4 k1 ?' y) W% G8 H- y
  if (wealth < 0)' X% L% a! W. A0 _
    [ set-initial-turtle-vars-wealth ]
' g0 j1 R9 s3 T# O- w    ! J$ p1 X" ]. x% o# g, w+ R
end" D$ v% \+ |; c9 s' S! S. }; d

$ M/ h7 C2 c: V& t% ?3 x9 g
: U9 f' X3 @9 x/ nto setup-plots
; h# ]7 K+ ]  s, A: |: A+ U3 Y  set-current-plot "Class Plot"$ H0 r% ^& ?( u# S7 F( y
  set-plot-y-range 0 num-people
$ W5 n3 Q1 Z+ c: H  set-current-plot "Class Histogram". Y0 C- ?7 s/ h  z' G
  set-plot-y-range 0 num-people) g4 ~7 _$ B; I
end2 o, J3 P: x0 A" L5 k

& D3 N  }% f0 N1 K; Kto update-plots
, W! w* P6 @& m  update-class-plot
& d( k& l; h1 X: c4 ~  update-class-histogram0 V( c' O# j" O2 {4 \% f
  update-lorenz-and-gini-plots7 J. W9 R, i. d( M
end1 p& P  ~# |0 ?

! t8 @  U% j0 Y% j5 Z, Jto update-class-plot! ^  [) e% t0 c3 F" c
  set-current-plot "Class Plot"
* N2 M# O/ ~7 N" C' D: ^' l' s  set-current-plot-pen "low"5 M# Y" M: i$ L6 B) |
  plot count turtles with [color = red]7 S2 t1 b! I- ~# L
  set-current-plot-pen "mid"- ^" Y) z0 d8 j7 l7 `# G
  plot count turtles with [color = yellow]" ~4 l* [. e0 I: r5 ]7 U4 |7 B' M
  set-current-plot-pen "up"
, R( y/ e2 C' Z$ D8 S% I# J' s  plot count turtles with [color = green]! o- X) S" H/ R2 e( m
end1 H( @* D% i8 D% J" [" K% W. R* T

: I4 \' |2 i9 A1 Pto update-class-histogram* |4 Q3 q* m9 P9 u
  set-current-plot "Class Histogram"; Q% q; ^+ @! y4 h$ }- P( n
  plot-pen-reset4 X4 t  V3 k4 S6 n8 Z3 `/ d$ p
  set-plot-pen-color red, o# V# Y( I3 G6 p) A  ?
  plot count turtles with [color = red]
, Y, S6 s5 J) \3 l  set-plot-pen-color yellow
, D0 F2 N: q# O! M' x  plot count turtles with [color = yellow]" b; f8 T. [* {0 l# w; X' M
  set-plot-pen-color green
- |7 e% g8 C  U6 v  plot count turtles with [color = green]2 ~1 J9 ^- H- D& ?
end; f% ]. _9 {5 z8 S. Y! ^5 R
to update-lorenz-and-gini-plots
; \& M: h$ E) `' Q# c, D  set-current-plot "Lorenz Curve"
! e9 a3 {, ]% q3 k  clear-plot
* g8 |# h" p% I( v( a4 P; G1 X9 r: I, \- m0 i0 S
  set-current-plot-pen "equal"- ]# @3 L$ ?6 S9 F: O2 D/ x+ S
  plot 0
* f" D3 A9 y, S& \# M/ e/ ]  plot 100
2 t* k5 T6 s  ]3 r+ h( [' T5 s7 P- J" e5 e
  set-current-plot-pen "lorenz"2 {" N8 X" r" U3 l* {9 b
  set-plot-pen-interval 100 / num-people% e( U) K+ K  N& v8 G! y
  plot 0
- p* }2 W- ~" y! K7 C; {" l
3 P; [0 h4 e) K: N% ?2 \  let sorted-wealths sort [wealth] of turtles
, t' Z4 W  ^' S" l  let total-wealth sum sorted-wealths! r: i. b1 B4 r! p6 z; d
  let wealth-sum-so-far 0+ G  w9 ]/ s/ a+ M" L) z
  let index 0
' x/ k2 E3 W( b' `  let gini-index-reserve 0
- n6 G% r( v9 n0 C
( B" w& p* Z  _) n  a  repeat num-people [; m; q% @5 T1 X" D) R+ w; ]2 [
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
0 Z" X) a, Q4 S7 {: c    plot (wealth-sum-so-far / total-wealth) * 100
* N* ^& V, `2 e8 K3 e    set index (index + 1)  x+ {* W7 j- U, P; s
    set gini-index-reserve
6 B0 Q9 |! K$ I; e      gini-index-reserve +
0 O% d4 Y, o$ P- \  j      (index / num-people) -# ~! Y; u9 |$ p& J# U' k9 B1 ~' R
      (wealth-sum-so-far / total-wealth)
: @( m8 a* Y; c% u  E  ]
4 F5 r9 e5 c1 D2 n1 z/ y' F
1 @! \" T3 F4 S, p) k% [$ @: h8 c: F  set-current-plot "Gini-Index v. Time"5 L) m% r7 j% f% E, P2 U
  plot (gini-index-reserve / num-people) / area-of-equality-triangle9 w% f: c! ~* {; X3 n! S; e# F
end
3 [* r! Y1 {6 \  Rto-report area-of-equality-triangle+ E1 i- j) @8 g# r" A! W
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)8 J& L" f. I; D
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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