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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 p" S1 ^" G5 C+ h7 V1 Z! A
globals
9 ?- P! d4 n* u+ X, r6 c& V. b[
% n3 j  [$ Y  l* f. W: _  max-grain   
7 E0 v5 I( H1 D9 b8 D- ]
* ^' x1 t2 o7 a4 C! v1 I]) ^3 U$ L$ L" Y) V. u# j- O5 p3 }& Z

% C  f! q, D. \. Dpatches-own
. l; W7 @9 i# k1 A" J# l$ `; \9 {: G1 a! W% [[
! W/ U& I' M& B$ W  grain-here      
" j! ?/ J) ?) k! b& P  max-grain-here  
1 M2 i1 y& _% }& ?' u]+ x7 r- o! E, O$ `: Q' F

; q! m* y3 Q* g4 S5 Yturtles-own
& O9 ^: j" ?0 ^) o[
, J7 S- E. `) W1 W- {1 y  age              ) x- k! B8 u( _3 t4 J% K
  wealth         $ n4 P: l, `( i
  life-expectancy    ^7 ~' Y0 X& ?
  metabolism      
5 u$ d  N5 k1 a  vision
7 u5 m9 {& M1 E. _) Q  inherited         
3 Q) ^+ A5 J! K9 M: E2 \]
/ [3 w  P% a3 q& N- l
7 l: I4 F8 R3 b/ R) |& v. O. E& M
3 g5 E. X: _7 u" o0 @& g7 Z6 {to setup
3 w" X: `8 }7 `. C+ S/ ^! z8 u  ca
; ~6 z& `6 O* b/ W: \0 p$ _  set max-grain 50
" r1 _6 U( {9 u; G  setup-patches' |3 x% {* Y+ h0 ^
  setup-turtles
  a& U! {! c, r0 k1 U. g  setup-plots
1 o# e2 k9 E+ Q' Q/ D  update-plots
, |  O+ u$ H+ w5 W- G% Jend! G+ O, T8 o6 h( {
to setup-patches
% C# q- ]" v7 r+ g  ask patches
( F+ Z! r- K# h; z) F5 {5 P7 `. Q2 ~5 z    [ set max-grain-here 0
; J; o  n  R, \      if (random-float 100.0) <= percent-best-land
2 j6 a$ D' X$ E1 u9 L2 M        [ set max-grain-here max-grain
) g- d0 @4 d( `5 G6 N, v' V          set grain-here max-grain-here ] ]" B- t, I$ K& L6 u/ I
  repeat 58 T, ?* I' H2 ~/ b2 {) O6 a! h
    [ ask patches with [max-grain-here != 0]
, R! [, b5 F% x- R4 S( r        [ set grain-here max-grain-here ]+ z4 o4 K% ~- D: G  q
      diffuse grain-here 0.5 ]3 J* [# T; [, K5 S2 y* n  B% q8 e
  repeat 10) l' T5 i' }$ U" l
    [ diffuse grain-here 0.5]          ! N) d  n  s' r( v; {
  ask patches
0 C7 _3 |2 u6 \    [ set grain-here floor grain-here   
  |' g" Z1 U& U* S, m& O8 g/ X) y      set max-grain-here grain-here      ; a$ {- G% O$ d5 Z
      recolor-patch ]
3 @& w9 P3 @. ~end8 q6 H, C+ h. w7 N1 G
to recolor-patch  
9 x. Q& [, C1 {) K8 E8 O, n  set pcolor scale-color sky grain-here 0 max-grain" ^4 M  s4 L/ T9 y3 I
end
* r$ P' |  W5 y3 M- h+ R" y7 Gto setup-turtles
  a$ x4 E) C) N: n' Y  set-default-shape turtles "person"
9 ?  j5 T: d) Y$ H3 q1 c  crt num-people
. w- B6 d6 `& Z3 W. y5 X    [ move-to one-of patches    r+ h, C9 r/ m. p
      set size 1.5  0 x/ r4 Z7 y# N& I: E4 f9 s" r4 s: C+ h
      set-initial-turtle-vars-age
; D$ u4 N, O; s3 t      set-initial-turtle-vars-wealth* m* ~/ b3 o' h. v7 @) `
      set age random life-expectancy ]
7 g. ?+ u; p2 s& ~7 H, H: ]0 @" u  recolor-turtles2 V4 ~& ~3 a  r; U0 ]! [$ h
end; T! [% v- E3 b+ W

" Q9 g0 ^$ M. A3 W) o+ vto set-initial-turtle-vars-age1 d% U- \8 @* |3 K, j
let max-wealth max [wealth] of turtles
; t! V6 e( p$ r3 o. x8 }1 s- S    ) _6 i3 F+ U7 c
     ifelse (wealth <= max-wealth / 3)' q- J) H6 K! D. C% O- w1 k; {
        [ set color red
" d! p6 S$ A1 ^2 j+ m0 D          set age 0- F7 M% B: g# V. X7 P0 z
          face one-of neighbors4 & T0 J8 H. n* J* @3 T
          set life-expectancy life-expectancy-min +
. q' |2 P9 ~" |) m# R                        random life-expectancy-max
. _. b; a: S5 F          set metabolism random 1 + metabolism-low
" A2 r/ X% M! G          set wealth metabolism + random 30# M$ \7 S: R6 \  \( K: X
          set vision 1 + random max-vision& Q% f6 m0 o" G2 z
             set wealth  wealth +  Wealth-inherited-low ]
$ G$ x$ P  ?7 c; E: s+ B8 H        [ ifelse (wealth <= (max-wealth * 2 / 3))% Q& q- `5 e; _) ?' P
            [ set color yellow
$ \$ t8 n# r! A. l, q% q; n              set age 0
( r! ~7 @$ x6 C, t6 o              face one-of neighbors4 ' j% e( Z+ L- K2 b. M, a, Y. t
              set life-expectancy life-expectancy-min +# D5 C3 A6 ^2 m
                        random life-expectancy-max + 19 ^! Y7 z. c5 B
              set metabolism  1 + random metabolism-mid
* a$ y' {9 h' ?              set wealth metabolism + random 30. _6 b4 c" T0 s, u. Q* ?% d+ P8 H
              set vision 3 + random max-vision
, p4 ]/ f, \4 Z2 E. ^                set wealth  wealth + Wealth-inherited-mid]5 [, m6 _/ m" o7 ~* \
            [ set color green
" H- f% ]0 j+ U( k6 S2 ?, E3 ]) |              set age 0' H) Y: o5 l7 M! [  P. V6 z) v5 U5 S
              face one-of neighbors4
3 P/ H; e1 Y1 y$ W              set life-expectancy life-expectancy-min +
$ \# j1 M: ^  M; B1 B- O                        random life-expectancy-max  + 26 ^+ T, P: J7 A+ [' D3 V
              set metabolism 2 + random metabolism-up
' [* y+ ~( x7 L* n+ c- f5 A/ K' `+ v              set wealth metabolism + random 30
5 `( j, v# F# z# B* d              set vision 3 + random max-vision
8 _9 d- G4 E0 @+ q4 ?1 R& u4 n1 o$ W              set wealth  wealth + Wealth-inherited-up ] ] ! |* b2 v3 D: ^' N4 w9 q& `6 Q4 \1 o

: J" C4 t" y8 i4 P# G% \: F/ k7 Cend
9 c# _% d$ h* }& M# l7 Tto set-initial-turtle-vars-wealth
  V2 n/ ]- @; T; V9 u9 b let max-wealth max [wealth] of turtles$ Z5 L+ x9 w* G' J
          set age 02 T* ?1 d6 {3 e
          face one-of neighbors4 ' m7 T0 s7 e! {4 O: m
          set life-expectancy life-expectancy-min +
) |* y8 F7 i' I" k! o' r! g7 q# n$ M' O+ i                        random life-expectancy-max 4 E5 I; p/ |3 B( [, M& e$ r8 M
          set metabolism 1 + random metabolism-up
, y* Y* [( M( }% B          set wealth metabolism + random 30
% f. x, j! x  {$ z6 j* t          set vision 1 + random max-vision
7 k  \) b' F& G; d! E, T' k5 Q/ xend
9 B- J) h: R0 `$ D' m% ito redistribution' b) W1 c, b0 [6 C
let max-wealth max [wealth] of turtles
- {+ @: \# U" ?' Wlet min-wealth min [wealth] of turtles
  r9 w6 O, b) k/ jif (wealth <= max-wealth / 3)' u" [2 u6 h& s8 U9 m" ~2 y0 I6 ^
[set wealth  wealth + Low-income-protection ]
  i- `2 U8 w7 `( n+ Q8 iend
: E' X; Q6 V* ^8 _          ; R8 @  F- {7 d; I
to recolor-turtles% u7 }, Q5 u5 W( n* A
  let max-wealth max [wealth] of turtles2 m9 B0 e6 ^6 |5 z3 L
  ask turtles6 A: [" q8 o& P5 ?) p2 j6 D; T
   [ ifelse (wealth <= max-wealth / 3)
- R) z+ M  W6 r- x        [ set color red ]8 E/ i) e9 ?/ r8 V
        [ ifelse (wealth <= (max-wealth * 2 / 3))8 }; j% ^: y& @- s
            [ set color yellow ]  ]! o) j0 y% s1 H2 M
            [ set color green ] ] ]5 K7 p+ |& n" G! V
ask turtles [ifelse show-wealth?( F  ?) m$ F1 Q1 A3 o- {) ^1 j
    [ set label wealth ]/ ^, ]6 i" a( c- H* M* [8 ?
    [ set label "" ]]
4 l/ F0 r/ D" J2 gend6 q  ?+ l" B( N3 R& T
2 N0 d0 _* c3 e9 G6 M$ U
to go# T5 {) z! b3 y3 ]- e! v4 v( \0 y6 N
  ask turtles6 Y  r) v% m4 D; A: [, T3 s8 M
    [ turn-towards-grain ]  ) y6 G! v$ B/ l' F5 N
  harvest8 l: r7 q+ ^/ J$ D& o% q; n$ K2 \: i
  ask turtles
$ B5 L6 b) s5 J9 S    [ move-eat-age-die ]; @% j( \) J6 l
  recolor-turtles
, K0 E- T4 f9 G! }  if ticks mod grain-growth-interval = 09 I3 q8 g  ]1 u( q: i7 W1 A$ E
    [ ask patches [ grow-grain ] ]
( O1 i" o2 l1 t6 y: h   ' ]1 z0 w( ^% K4 j/ u3 y4 a# _
  if ticks mod 11 = 0: }- v; d3 L% y9 `) t! J3 v
  [ask turtles+ f3 z4 e( g. ], G0 `
  [ redistribution ]]
9 Z; Q8 _. S; _5 j& `  if ticks mod 5 = 0
* E7 G+ w1 r7 k% T) ?9 n1 U4 I  `9 l   [ask turtles# j8 n& H# K$ W1 N' t4 H
  [ visions ]]
% z% g& A! G" o( V1 ]  tick/ m8 Y: F1 w- M/ w: _
  update-plots
, y5 r4 o8 |7 R+ Pend
, z# [. o2 U  B) Jto visions, l+ l: I) l9 T& M2 E. }
set vision vision + 1 & f" m* @/ }2 |$ b. k0 \5 S
end( o: O2 l2 w6 h. a3 k  R6 F3 X

; L# m, r) n: p( [& v" ?2 C: X! d! F& j# e  V* Y
; n6 h2 U% O# N6 ?
to turn-towards-grain  
* k( g; n3 u+ ^" a% h( R, {. A& G  set heading 0
" L7 G5 [5 `7 q, ]  let best-direction 0( p+ T+ v' A0 s  N: z, I  r
  let best-amount grain-ahead
  y% W& \+ B' L  set heading 90; A+ k0 |8 k8 S) m6 Y% r$ k% \' ~9 b
  if (grain-ahead > best-amount)+ K. s9 T2 e4 G2 p: X
    [ set best-direction 90
3 c0 \* {' w2 q5 u" d      set best-amount grain-ahead ]1 H/ G2 S4 T1 B
  set heading 180, J# ~; ]$ u$ k" z
  if (grain-ahead > best-amount)2 s6 m8 C* \9 c! @, q
    [ set best-direction 1800 G+ ^, m% a# c5 _
      set best-amount grain-ahead ]
; L; |1 z" A0 Q* O5 |  set heading 270
7 ?: {: k4 N1 v0 l  if (grain-ahead > best-amount)5 K" q  P/ c2 l% e
    [ set best-direction 270+ ?! Z: v! Z2 e. b) m% B
      set best-amount grain-ahead ]) s+ f& G! ?- J0 x+ T
  set heading best-direction+ s" E/ U. }* n( D1 ?
end+ a5 Y" N0 ~# a( k  N; L
3 k6 G$ L9 D& q5 l* s7 h- h1 n: [
. @& C* h' c$ b
to-report grain-ahead  3 h; z% q4 I6 {. u; ~4 g
  let total 03 \3 I$ x* M1 V, f
  let how-far 11 @5 T% l4 |, D( G6 c! u
  repeat vision' B4 u9 s4 e5 z. H
    [ set total total + [grain-here] of patch-ahead how-far+ v$ ?" a5 b; U5 w
      set how-far how-far + 1 ]
% C, ?! ~7 R. Q1 x  report total
, @) b. p" b. E6 Z. g$ E  R, e. vend
$ F8 x; H# q( I5 q% j9 B1 ^/ E7 }& s! o5 Y  T1 |- u' [4 q7 G
to grow-grain 6 }8 ?! x# N' _- ^6 ~" r
  if (grain-here < max-grain-here)6 X6 a, J* ~: [- \- \! c! {* |, ~
    [ set grain-here grain-here + num-grain-grown
8 N* P' y4 O' p- _  k8 ?& f      if (grain-here > max-grain-here) 4 i( A& ^! }- L  c6 A3 m! J
        [ set grain-here max-grain-here ]
5 L5 x! k3 n; X* e6 ~$ D      recolor-patch ]+ M9 c+ M! p/ y8 d* U
end
4 v) m& Q7 h2 R+ i6 s" Rto harvest
$ {. H$ T8 G/ Z7 U2 |# t2 o# x' i8 V  ask turtles
% V8 Q- v# Y5 v4 \' M  m    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
: G" h) b0 r4 A7 e  ask turtles
# O5 k! K% e' X4 W6 q" m    [ set grain-here 0
* u/ I: Z6 O% W$ M* X. _; z. P      recolor-patch ]$ x1 z# N( n9 O' \. P% n; C
  ) j  z% d: O# u4 t
end3 z; u) c! k& s, l  g7 }9 f+ L5 i

, b% l+ \! X1 M8 \8 @6 }to move-eat-age-die  ! _1 S1 w4 X7 ]  B5 F
  fd 1& W$ D7 W: t- [) |( `' E2 j9 w
  set wealth (wealth - metabolism)
8 x' d$ |7 \) a7 [4 W- i, F    set age (age + 1)1 ?8 s7 D0 I+ E, n2 k' B+ `8 E
  if (age >= life-expectancy)
; _) h* o3 Q  K  A. |) Y    [ set-initial-turtle-vars-age ]
6 v( W  b# i9 }- T- M( d  if (wealth < 0). A7 U/ H! l, e) y0 K  X
    [ set-initial-turtle-vars-wealth ]* O! `8 i7 }4 [' D7 t6 @3 |& n; C
    1 O4 W) U$ J/ W  k
end  n; o! p1 K" b' e
, R- T& ?4 z2 A' ~* s; P; r/ r

+ A7 _9 u3 o2 c8 kto setup-plots
( r" _" [0 P: G! M% N  set-current-plot "Class Plot"8 L6 @; l& a; S; p# ^+ Q
  set-plot-y-range 0 num-people! Q7 H2 @& K+ B" y  D2 }' X
  set-current-plot "Class Histogram"+ R* ?: E4 C$ i4 x
  set-plot-y-range 0 num-people
3 @1 l( o# R8 {end* n# x  S: h( |, G6 ?+ u/ ^; J: V
" I  e. ?" Q4 K/ r
to update-plots
0 U; T* _( [1 X3 D% ]5 V& X9 y  update-class-plot
$ u% @% D6 A) A  update-class-histogram
, Q, E5 A- N* S4 y9 a0 k4 I  update-lorenz-and-gini-plots# G* }* q0 G8 V7 {/ z& R
end8 _9 y. F. Q, N5 w0 M

. l# O1 x7 w  X) D7 r! ~) \% hto update-class-plot
$ g' |3 U! O7 J% d1 ]; F  set-current-plot "Class Plot"
! u5 D1 I+ l/ i/ z  set-current-plot-pen "low"
5 m8 `0 L( O* u$ W" Z  plot count turtles with [color = red]
4 p4 Q+ {8 a) `& ]  set-current-plot-pen "mid"; Y- g* f6 Z6 N0 _; h
  plot count turtles with [color = yellow]
/ {- s, H; g( C" C  set-current-plot-pen "up"
$ J% e" _$ V4 l: y) @8 w. k  plot count turtles with [color = green]
1 r& g* H& I0 x0 }7 @$ i# Zend) u. V0 o; Y5 s: W) s

& s: b$ g2 N& |( b3 _$ @/ Wto update-class-histogram
" I7 A; }2 {. H! \: K+ u  set-current-plot "Class Histogram"' r7 R( c- D# C
  plot-pen-reset
$ K' M' h6 d1 f- k( ^  set-plot-pen-color red9 ~, T- h% b# O" p! z/ Y
  plot count turtles with [color = red]
& H3 v& _' [5 w- |5 t" u" @  set-plot-pen-color yellow+ R# K, N" g( P) }: a2 D# W
  plot count turtles with [color = yellow]9 Y5 s* Z* k5 a8 K$ O( N4 z  F" ~# B
  set-plot-pen-color green
5 m5 Q1 v2 E, x) i* g: [  plot count turtles with [color = green]3 V, N# U4 R$ N/ ~& I
end
" J, T4 E$ K3 W: a) f) [) x+ mto update-lorenz-and-gini-plots
% x8 T. L: Z/ ]$ [4 u* B7 H5 H" T  set-current-plot "Lorenz Curve"
$ {5 g  ]+ }, r4 i1 G6 L  clear-plot
- u% j0 H4 @& c5 i+ E5 g9 F7 v
: R) i, x' x& u: \( z  set-current-plot-pen "equal"
- I& a* @9 |" E: }( c; a: H  plot 0
4 P) M% q& y8 R' [0 r  plot 100' }' }! t' y* E2 l$ t- t
! ^3 {( h* U/ \: l$ f" `
  set-current-plot-pen "lorenz"
' V3 L6 s# p2 n1 |  V$ [2 |- }( G* O  set-plot-pen-interval 100 / num-people
# \7 j$ f5 O- i5 ?$ _# G3 m  plot 0
; A" V: l; C" `+ H; M6 n2 b5 a! h8 N1 {5 v+ p
  let sorted-wealths sort [wealth] of turtles3 @# h+ T9 o# h3 [4 e
  let total-wealth sum sorted-wealths
5 U# w% M+ E  ^0 v; Y  let wealth-sum-so-far 0
4 w9 S6 j& i! [( h4 a# U  let index 0: U, _* u' s9 Y3 _
  let gini-index-reserve 0
: u# c( X5 N8 R0 f9 t# m7 v5 {# u+ N9 ~) G8 ~  Y
  repeat num-people [
. k9 R% ^" @8 g' N* }    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)$ a: @/ ~. K, L$ ]; s7 _
    plot (wealth-sum-so-far / total-wealth) * 100
% r- W3 \7 T2 ~    set index (index + 1)4 E3 I* h% P3 n1 {
    set gini-index-reserve$ [; d1 ~. V8 o* d! F
      gini-index-reserve +
$ [) z) s7 o* B( O      (index / num-people) -
- y, P$ h( j1 ~) H7 v0 [* d& m9 z  Y- L      (wealth-sum-so-far / total-wealth). ~& |5 k" q0 i- N7 O
  ]
- `& k6 ?3 o- ?2 a8 G( `4 O5 Y: Z4 k, W+ C7 c+ [  P& C# o: P7 \
  set-current-plot "Gini-Index v. Time"
; I$ Y0 e' E1 ?6 E9 z2 {" e  plot (gini-index-reserve / num-people) / area-of-equality-triangle# z$ @" n- U4 ]- f
end4 p) N! W& n' m% s' C% g( f
to-report area-of-equality-triangle: d5 X1 i: z5 j4 }% y. r7 E0 C
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)7 T, f% ]7 x; w: I
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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