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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4 T6 u- L1 p' l8 T
globals, e6 D( k) j8 a$ M2 n; x5 p: [
[
/ R8 t; _0 J' |' G  m' h  max-grain   
3 J8 S- _+ a0 a  X/ e! y' a1 [. O5 e: A0 z9 x3 ]2 g" @, P
]
3 i  `5 r% \& U) w
" e' M- F8 `9 w' S, F3 K6 Qpatches-own# G# R8 x( p  |6 u/ w7 q7 c
[
* g1 x' b; D8 Z2 t2 J  grain-here      # h& U( U) A+ g! s
  max-grain-here  ) \% u% M: H) p
]1 Z4 V% ?3 \( g' [5 k
9 N* Z$ b( M% ^* g4 K# E/ b
turtles-own# O, W" h( b) ^0 V
[# J7 d- i3 E+ u9 m9 n) F
  age              4 n7 X' d: X5 r: c7 y) K' N- P
  wealth         
! N9 N+ j1 P3 g. k- v5 u  life-expectancy  
8 [6 i9 R) Z( O7 m3 h. S( C  metabolism      
6 X% @. A7 Z) I% ~* a/ T( {  vision2 E; Q' }+ M0 X# D, Q
  inherited         
3 b1 L- x( J  m6 t. ^8 f]
7 ]9 A0 m- K+ C- G1 P
5 C" f3 ~: c9 ~- k. a* u3 O. e' V! e( e2 Q4 z9 {9 t2 \9 o0 c# `  S1 E
to setup
" g( n" q3 g! Y  ca
5 y( Y9 d  H. f: B' s  set max-grain 507 @% H- m- V( I5 B. S. ?
  setup-patches
4 o2 o7 ~$ [  _  setup-turtles0 x. L$ X" C; h/ l2 i- `$ V
  setup-plots& I8 F- N' V. ?6 k5 |
  update-plots) w- m/ ^) c+ x) |" v( l) j
end
# a2 l5 ~- t, a5 J8 d7 `  x* V. k. }to setup-patches
) G% w8 q" z" r5 P2 s% v  ask patches. g) p+ y! {, R0 |: u7 r
    [ set max-grain-here 0
9 a. ]. \* \3 n1 _5 K% M$ E  @      if (random-float 100.0) <= percent-best-land
4 v2 c7 B9 l/ F! ^        [ set max-grain-here max-grain
, I" d: W5 B0 l4 k. ?" R4 Y" }) ?          set grain-here max-grain-here ] ]
9 p- P- c! `) Y* `4 g- q  repeat 5
+ a7 }. o  u3 u    [ ask patches with [max-grain-here != 0]
+ _/ I, \' [' Z$ I3 _/ D        [ set grain-here max-grain-here ]8 X; d9 E, O3 W. L9 j
      diffuse grain-here 0.5 ]
+ V" O: O9 y, [5 `* J  repeat 10
  ]7 C  m- }% O    [ diffuse grain-here 0.5]          ! b. B6 l) C. c% ~' I9 {$ u7 A
  ask patches
: J% h# L# O: U5 h0 E; M    [ set grain-here floor grain-here    ) ], m+ _3 o; V5 A# e
      set max-grain-here grain-here      
( A: z& Z8 v% b: n8 M: V# q8 I2 O0 \      recolor-patch ]6 e- X2 R# o/ @! b7 K9 ?
end
7 Q( P, J' w9 i' h& {3 s- Uto recolor-patch  $ k* v8 u& i% J' M( L
  set pcolor scale-color sky grain-here 0 max-grain
, l9 g2 @& Y, x' O) pend' x8 l5 l8 O/ V; K, y
to setup-turtles
3 f& U- _, e5 L, M) x4 m  set-default-shape turtles "person"/ D! Z1 q. v- {5 j9 k0 O
  crt num-people; @* W/ m" M; l/ K' h  a
    [ move-to one-of patches  % H6 _' N- D$ v/ G/ A
      set size 1.5  7 s/ t6 }0 S1 a3 ?  F
      set-initial-turtle-vars-age
0 c+ E- P, h9 P1 _7 p4 `      set-initial-turtle-vars-wealth
3 ^/ t& a9 ]( h  H9 m: @      set age random life-expectancy ]7 u! g# Q) f" T  E
  recolor-turtles$ m0 q* Y2 S' b% N
end
: B9 e, u9 O& p* k: `- D7 L! d5 o5 k+ T, ?8 R
to set-initial-turtle-vars-age! _+ s4 r: |2 Q3 _1 ~
let max-wealth max [wealth] of turtles
* Q; A& M# D0 d    3 ?2 L% P- p5 K5 u8 w+ |
     ifelse (wealth <= max-wealth / 3)6 [5 x8 H$ B& Q
        [ set color red ; W+ a0 X) b; O& H
          set age 07 ^& V6 @8 \# M1 z: l, s% [& l) M& D
          face one-of neighbors4 . R' Q# j& y) o, @4 i% f
          set life-expectancy life-expectancy-min +
* u- n6 w. T7 f                        random life-expectancy-max 6 A1 s! S- b+ {, l3 B& V
          set metabolism random 1 + metabolism-low
+ u. z6 H1 d+ d7 J5 A. _          set wealth metabolism + random 30
% U. }- S. G1 g$ K          set vision 1 + random max-vision& l3 x- J, h: L
             set wealth  wealth +  Wealth-inherited-low ]6 P+ l) P. E+ i  t5 ~
        [ ifelse (wealth <= (max-wealth * 2 / 3))
/ H) ?9 c( \& l# F            [ set color yellow ; p5 Q6 K  z+ P% \
              set age 0
2 x; A+ T5 |# r; `' X, R. w" |4 J. U              face one-of neighbors4 2 o6 O$ r/ a1 M0 e. ~# ^
              set life-expectancy life-expectancy-min +' G+ i" m9 |8 a" j5 g( Q% e8 y
                        random life-expectancy-max + 1
7 Y  r* d8 v3 m7 B/ D) R4 @# i              set metabolism  1 + random metabolism-mid9 t- t) T6 l/ y/ u2 Y, ^2 O% |, i
              set wealth metabolism + random 30+ h& c& G+ R0 r. c! q& E5 l6 ]' m& g1 B% H
              set vision 3 + random max-vision
; e/ m9 f3 u5 V3 S4 j                set wealth  wealth + Wealth-inherited-mid]
% W) Z  l; ~; e( L8 d) J            [ set color green
/ R6 [+ {5 W+ p5 x              set age 00 a3 B% [" w8 m& C( q5 c. f+ K
              face one-of neighbors4
: A) O) Q7 ~6 l' L0 H! E              set life-expectancy life-expectancy-min +
, `* q: i- q5 ^1 K# u2 g                        random life-expectancy-max  + 2
: E; V2 b9 g: H5 Z5 _              set metabolism 2 + random metabolism-up" @' r, g0 t1 o5 k( j
              set wealth metabolism + random 303 C, c, a: o9 B$ j/ M
              set vision 3 + random max-vision$ r0 _7 Q4 M; s5 E. c5 S# ~
              set wealth  wealth + Wealth-inherited-up ] ] 6 m9 B( H# H. @+ _
6 D8 K: J2 v- c& C' B
end
! h5 w3 N! x6 ]& A* _) l  Q4 V2 ]to set-initial-turtle-vars-wealth
6 I8 |+ {$ U' V% W" W* ^4 E let max-wealth max [wealth] of turtles
  X" g0 \2 O" _0 |8 T          set age 0
5 }+ i" W* I0 q, C- c6 H$ K          face one-of neighbors4 - J$ n% g( h0 s1 s
          set life-expectancy life-expectancy-min +* g9 V1 J7 v/ Z  B# E* p" z
                        random life-expectancy-max 9 n1 I% w4 R- ]' C5 Y
          set metabolism 1 + random metabolism-up- u! z5 ?& e; x3 j" _, s& r
          set wealth metabolism + random 30
# m% w, v  g" t4 ]& f- ]          set vision 1 + random max-vision
& ~$ ~& W5 |% B+ F4 Wend# l: Y! [2 W4 ~$ n; j6 J
to redistribution+ h+ k6 t* A5 q" `" H3 R4 i
let max-wealth max [wealth] of turtles; x) |" @6 O( |1 D5 I3 d' U( m: r
let min-wealth min [wealth] of turtles
( l" r# Z; _9 b) Gif (wealth <= max-wealth / 3)3 H; {7 u$ I7 ]: f: U9 A
[set wealth  wealth + Low-income-protection ]( ]$ p2 U* U# i0 S, [
end
" i4 I# y, q3 j: B8 O1 P          * L# c- \/ j0 @; A' _+ g( f
to recolor-turtles: p. j8 U+ h. y8 Z- A4 u. C+ a
  let max-wealth max [wealth] of turtles
! ^0 L  d: }; i# [. W  ask turtles" `4 x0 D1 q, i, A. q. c* |6 }+ ?
   [ ifelse (wealth <= max-wealth / 3); n1 s& K+ X2 {( e7 i
        [ set color red ]
- s% {0 d7 ]" k        [ ifelse (wealth <= (max-wealth * 2 / 3))
1 W% X9 d9 i1 E" P( r            [ set color yellow ]' F9 u: |& g- n2 ?- Y' \4 q7 c) B
            [ set color green ] ] ]
/ O! W& d0 }7 {, l* E$ H* e3 y/ @7 @ ask turtles [ifelse show-wealth?- m; D0 `7 b; q9 _# P1 H
    [ set label wealth ]: E: U* j+ |. F  y3 o1 p+ S2 J
    [ set label "" ]]
7 ~3 `% {. [6 y4 r) v) ^6 C  @: _end* Y  `+ }1 U$ f3 A6 g0 x! {
( [$ P  C! M% [: K
to go  Y( J# g% G6 m- a: J7 _
  ask turtles
# Z8 b" H) Y  l8 \, {& y' Q5 D    [ turn-towards-grain ]  
6 f! f/ G. G/ g8 \) ~( }  u  harvest
5 U* A5 p9 V; z  ask turtles5 \1 ?( W# D$ g! c, w* D
    [ move-eat-age-die ]7 u- E0 w: [% V0 h7 \2 A
  recolor-turtles
5 O& W% y' R3 J% c  if ticks mod grain-growth-interval = 0
3 M+ N5 D* ~6 E7 b, R    [ ask patches [ grow-grain ] ]
0 s) k: J0 C9 P7 T9 m   
6 U" M3 y5 a" O% y) b. N/ m; ^6 d  if ticks mod 11 = 0
8 Z$ x" @& E4 }  [ask turtles
' ]6 g: @6 }! K; K  [ redistribution ]]- R, ?4 R, w; V
  if ticks mod 5 = 0' J1 Z/ F: A' Y, r* ?5 u
   [ask turtles
8 }6 t& \7 T- ?  [ visions ]]3 b8 o& R* j- D* ~
  tick
5 n! o/ |( L( l2 ~/ _  update-plots) i3 b$ H! }. X/ @
end# o2 q$ |# _% |; n: M, X
to visions2 N* B( c- o0 b1 H! y: Z
set vision vision + 1
, q6 W" r+ P6 R# f5 ^- send8 N5 k' C9 [: c7 ~0 O2 |2 v

+ M5 C) u, {  z0 C' p3 @5 P3 i$ G4 a8 p7 {+ q, d2 Q

( U% w- i6 V3 S9 Uto turn-towards-grain  
6 N4 C; T' K! m* P1 Y1 p$ I3 K  set heading 0
# G4 h, j; y" f$ W5 q& X5 _9 {  let best-direction 0' |2 e1 S- W, k; b; x/ P
  let best-amount grain-ahead
( {$ y4 ]5 v+ h6 f5 U  j9 @  set heading 906 o- v: I$ Y  {* B# N  z
  if (grain-ahead > best-amount)
6 E) j% W9 v2 w% T! T' y    [ set best-direction 90
% ^2 l9 |5 q# Q1 }      set best-amount grain-ahead ]5 ^  _1 O( ?$ A0 k' `, j
  set heading 180
. k. R" w' d9 N0 Q# U( u8 r/ Z* p  if (grain-ahead > best-amount)5 e. @& R6 E* S- x# k) ]: ~9 U
    [ set best-direction 180) _. }- B5 |5 f8 F% N5 I
      set best-amount grain-ahead ]8 M; e% c$ Z8 D4 Q- N# I
  set heading 270
* z. ^# _5 q6 v4 w  x  if (grain-ahead > best-amount)& `5 A8 d+ N8 R; ^- @  I8 }) F2 {% j
    [ set best-direction 270
/ c0 m2 t; F* Z9 h4 c      set best-amount grain-ahead ]
/ ?6 h% P, |/ j5 @1 |$ g  set heading best-direction
' f: [- v) B0 |) \: }* C) xend! H& N& T* V; _/ I: f5 ~, p
0 H( Q6 K/ V0 p. s- b% K
6 S) o1 \8 Q& J
to-report grain-ahead  . R& @- V+ Z( K, A  q5 U
  let total 0- P4 j4 i( I9 Q/ s) A* {
  let how-far 1! m. A# B9 d9 ?9 l$ I
  repeat vision
+ K0 N6 ]( p$ f3 H* w    [ set total total + [grain-here] of patch-ahead how-far
- ]+ A, y3 n$ V% w      set how-far how-far + 1 ]2 G, B1 G: G7 p! K5 |( L% h
  report total
. b1 W, B8 X' Pend; d1 p) S! S, p* ?1 ?7 ~! V

' ?  [; H; y4 s. @, W7 Hto grow-grain
" Z7 n+ F' z& ]3 m$ H& E! `  if (grain-here < max-grain-here)
" ]# l2 [) Y8 r; T" |  P4 W    [ set grain-here grain-here + num-grain-grown
' `- `$ T* e0 I0 [% S5 x+ |- N; U      if (grain-here > max-grain-here) * Q# z0 Z/ o4 Q! _$ d7 A& H
        [ set grain-here max-grain-here ]. J. `; t/ G( |; w4 G
      recolor-patch ]
! y! U+ K- x" j7 k2 @end* t7 L$ t9 a# i+ ?0 Z
to harvest- S" j9 n4 A5 n
  ask turtles8 P, `( C. m* g% R6 c5 \
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
% C" Z) ~. y5 |# k1 p  ask turtles# r) L* V- J$ p, S" V/ u
    [ set grain-here 0
: n( r3 ~8 Z6 r      recolor-patch ]
1 N; h' _" T  G4 k2 T- F6 L  
6 e, {/ q. O, l2 send
& _- i9 @( v/ k9 m% Y: G. ?. S! @8 M- w8 t5 i( u
to move-eat-age-die  9 b. }( I, A% y4 m
  fd 18 J1 q* a2 R1 v4 z. F. N
  set wealth (wealth - metabolism)
5 h+ z( H6 E# n- C, e3 k    set age (age + 1)
% k6 g% {. T% |# K5 z/ q$ S5 S6 x0 @  if (age >= life-expectancy)
( d- `- M2 d1 h8 O    [ set-initial-turtle-vars-age ]
1 c. j# L: |( P2 g/ b+ O8 G* ^/ ^, O  if (wealth < 0)
1 e7 C. L' r( s0 @- C5 v1 p    [ set-initial-turtle-vars-wealth ]
, |3 _0 r$ C- w    . @  k- d" x( R" u
end
$ j0 K4 O/ Y+ ]' T, G" S1 ?4 P9 r5 I3 C/ J0 t
! L7 @7 W" N, [  @5 @# f5 L0 H
to setup-plots. Z8 F" a) M; g3 z4 ]0 E! b. ]
  set-current-plot "Class Plot"
7 c7 N0 R( m" W2 r0 [: S  set-plot-y-range 0 num-people8 E5 k$ L5 x, Z5 _5 k3 ]) m6 N
  set-current-plot "Class Histogram"# Q4 z3 u: x# f- S# q. ~9 O
  set-plot-y-range 0 num-people
1 t5 Q2 f. T$ e. wend  ^( d6 R# j$ \  ]; E0 l
: Q' R9 v: j, p" x& Q5 \5 Y
to update-plots
! X  ^% a! Q/ @# G+ e  j  update-class-plot5 X3 |2 q7 |0 p2 T% z
  update-class-histogram
, V; X& ^$ F1 N+ H# s  update-lorenz-and-gini-plots
% D3 p% O! c. g" a0 y  M& k  ~end
* Q/ d; h1 P, F" N0 w. C) J/ Q
$ j2 U9 |9 @) X$ e* Yto update-class-plot" X- R6 i$ n5 o. M+ h" I
  set-current-plot "Class Plot"8 K# G, u' e5 k  b, X1 W
  set-current-plot-pen "low"
% q1 W) E6 u& C' x  plot count turtles with [color = red]8 ~, i. D6 ?$ M9 l
  set-current-plot-pen "mid"
1 R! N1 j3 L* c. r+ p7 F1 B8 X8 M  plot count turtles with [color = yellow]
# E9 B1 u; u7 A+ W2 h  set-current-plot-pen "up"
: x* ]8 L- w) e" t) u  plot count turtles with [color = green]
/ X, m' v- q% t: O0 R  b9 lend
) E. k  X; e* _: b& I
. R( {9 N( o# bto update-class-histogram. e4 j2 Z5 B5 J3 i, p. m) V- L
  set-current-plot "Class Histogram"
# N  I# t3 H; l  z1 G  B: D0 T# e  plot-pen-reset* P1 c' ?, C/ d: U) B& F. [' @
  set-plot-pen-color red
' `; {) A( B; U& ^, @  plot count turtles with [color = red]4 b  \$ e* q4 l
  set-plot-pen-color yellow5 {0 c4 @, Q. g2 k' O, m
  plot count turtles with [color = yellow]
" X5 U) ?( ~: e3 Z  set-plot-pen-color green
: z, g- T) J, P" u9 ^) Y  plot count turtles with [color = green]8 D6 B- A, [# W8 |; D" f9 p+ X
end3 \( m- A: {/ ?2 ^0 J' z
to update-lorenz-and-gini-plots
9 A5 v8 [8 |$ C, q  set-current-plot "Lorenz Curve". d1 o, \$ u2 }' K9 T# r
  clear-plot
8 j0 \- }# d0 m
: I4 Q* M# {& W+ p2 d( z  h  set-current-plot-pen "equal"
& J' U0 A+ _% y  plot 0
4 u1 ]' M% b; Q5 [* P2 l  plot 100# u) E/ p* h2 e0 ^5 v6 L, `
1 g( k/ f4 g9 i' Q& F; A8 j
  set-current-plot-pen "lorenz"
' j( _3 r) _3 Y( ^& c! I3 s6 |  set-plot-pen-interval 100 / num-people
# Q3 i0 ]% T" z. N  plot 0
! s# Y" X- K, J1 ^7 s! X
" I7 J2 M; I& `3 `, h: f/ g  let sorted-wealths sort [wealth] of turtles: _" L2 P' \2 z1 d" @8 p- {8 p
  let total-wealth sum sorted-wealths
* g0 w) C" j, X6 y' P7 T9 K9 o  let wealth-sum-so-far 08 V) w2 o$ V$ ~( p9 N6 J1 \- G% ^( V
  let index 0+ }0 V4 ?" P% g9 g+ n7 E4 r
  let gini-index-reserve 0
4 D7 B7 O: r4 r& C1 N. n$ u% \# H  g5 v& a$ s7 I) K
  repeat num-people [
$ v( G8 u2 M9 G- d4 `& p    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
" x; H. W! t+ O& t) x; j    plot (wealth-sum-so-far / total-wealth) * 100) W1 N" E- z6 ^2 p6 [1 d2 e: ~
    set index (index + 1)% x; T2 [- Z) p+ k
    set gini-index-reserve
8 N( N7 t, q. N8 S* G9 b: r      gini-index-reserve +7 g2 l  ^' F  b. T2 }
      (index / num-people) -
* M) D# x9 R  \% D! W! f8 M      (wealth-sum-so-far / total-wealth)
3 K% o. b" T1 \  ]
4 x5 \! j+ x$ E8 Y. F+ M; ?8 X, n) @" `9 ~: c# i
  set-current-plot "Gini-Index v. Time"4 E; f3 A% y7 @5 l* x- ^' V* J
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
& y" d+ x' r) Send
% I3 }9 g; L# `( C! K* d3 Zto-report area-of-equality-triangle$ v& V0 v( s: z) d7 G7 E
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
+ C. p8 @. Y+ z& X; c' n3 Iend
 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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