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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
8 O0 q5 X, C( c! b% V/ D- S& Yglobals5 R; s9 B5 ~7 r2 z' x0 e
[5 e- O/ J- s% H- [+ I- u
  max-grain    & n5 f, R8 t# v1 J. Y

0 i' d4 E, j! u1 K7 R! V]- t; j' Q! \; s$ o5 ?, T
5 Y0 `; \% x+ M- o9 w* B5 ]
patches-own# V1 [& s0 P9 W% _
[
/ R6 i2 ~' `% z, T* @; m  grain-here        T! n" M) J# y! h- m1 B9 z
  max-grain-here  2 t2 g6 l( \" ]) `, d0 v
]
, t5 E" G+ l: V4 G2 @! X0 J9 ?/ \- e0 k" m
turtles-own
, @# {& {, n- X; l[
% E8 k7 e8 g' W1 I! g1 S' W9 Y8 r  age              5 q4 {& Q% Q  I/ M6 [
  wealth         ! u0 F5 Q1 P' P; ~0 H
  life-expectancy  ) N. W9 V- \) J! W9 [' @
  metabolism       ! G5 S2 E* j( `$ ^9 v% L
  vision9 S7 z+ \1 X! h' h0 }3 L# q, ~: u
  inherited         
+ C0 V6 `+ o- C- Y+ M]# `( k1 h& p# U
- l% j( N8 h: A6 t4 a! |
4 U7 M6 M' R' w. t0 |9 \( w' y
to setup8 r4 v4 T6 o5 D) e/ ?) L6 T
  ca' i3 @/ i) V2 f- t
  set max-grain 50
0 O% i5 O9 W' y  setup-patches
( ]& n/ E' Z- W# ]- y" j0 N  U  setup-turtles
# [" z' F! |5 z$ x) y  setup-plots9 T/ f5 ?% N; ^" \7 j1 }- t% v$ V
  update-plots1 ?3 Q& A* X7 \7 Q; b! l5 n: V
end. _$ r( Y* r( t0 M# k3 g2 d
to setup-patches5 S5 m  K! f' z* }) f/ o
  ask patches
. H2 F9 X, @6 U' U/ C    [ set max-grain-here 0
* o! a( I3 `3 o* G, |/ j( H      if (random-float 100.0) <= percent-best-land& i5 _: e3 k0 Y+ X
        [ set max-grain-here max-grain
# z; m5 v0 l5 H, ?  ]          set grain-here max-grain-here ] ]# m# ^9 O+ N+ A7 c* F" W. G
  repeat 5
5 F( \3 J1 e, _: J: }1 f+ ?    [ ask patches with [max-grain-here != 0]
  A4 `: K; n) T% Q. _        [ set grain-here max-grain-here ]; i3 w6 a3 c4 o0 \& ?$ ?" }+ ^; p
      diffuse grain-here 0.5 ]
9 b' y4 ?- _& i4 S1 i0 v. c6 X  repeat 104 D4 H, X# J5 t: V; n- ^
    [ diffuse grain-here 0.5]         
& A4 e; Y9 X# A* T3 z  ask patches
! T* j5 B7 t0 l. C. Y/ Y    [ set grain-here floor grain-here    0 S4 B( N+ {/ `; g* u. h
      set max-grain-here grain-here      " a  H& a3 y3 `5 [& b+ q
      recolor-patch ]
* D& U; N4 w/ fend) b; Q" G1 r8 F: E2 S9 \! |. n
to recolor-patch  0 F! ?0 O* _3 c; R3 ?7 E4 H0 ~
  set pcolor scale-color sky grain-here 0 max-grain& ~2 Y! f7 H2 }8 C9 v# u. W
end
* G8 N" H, o# x0 W- q( t& d3 Lto setup-turtles3 C! D" ?$ b% E- E9 K
  set-default-shape turtles "person"- M# n5 M1 K# X2 o, D6 q1 E" v
  crt num-people. @+ Z1 s5 r! u! y5 c) O5 h$ h
    [ move-to one-of patches  $ \' U4 ^- o6 L, {0 f" f( F) Y+ s
      set size 1.5  
# _- w; K! V2 }6 b& d- P; I      set-initial-turtle-vars-age6 \4 H$ r  r9 Q& E- D: e
      set-initial-turtle-vars-wealth
& V4 u  a, m6 f, l      set age random life-expectancy ]9 W$ s$ q( E( N, D$ J, P8 ]1 a7 Z9 l
  recolor-turtles
+ z3 s3 s" j; K& K2 f/ Jend
9 _/ K* P3 R, S! G9 f- i; U/ u9 T# ^2 |  S! ?
to set-initial-turtle-vars-age
  x( s) E1 b& i/ r let max-wealth max [wealth] of turtles6 @% D9 S4 f: `( A0 h9 Y
   
# I  Y9 h& r& k     ifelse (wealth <= max-wealth / 3)
" s# ^9 S: w% M. Q5 G3 W: J6 Z        [ set color red
' {' e5 s- N. z1 T4 w$ ^  a9 T          set age 0
1 \) x; z) t8 ~" Y, [          face one-of neighbors4
, Z7 q% d. b* r* O          set life-expectancy life-expectancy-min +
  H( s! a- X" I- T1 D                        random life-expectancy-max / B# ^/ X$ h( u- ?
          set metabolism random 1 + metabolism-low
) \  E+ ]! @: H* C7 r, k          set wealth metabolism + random 30
4 i+ X/ l  `$ X3 b# r$ a# X          set vision 1 + random max-vision
; d! F, F; h/ x             set wealth  wealth +  Wealth-inherited-low ]* L+ a5 _' D1 v( k: K
        [ ifelse (wealth <= (max-wealth * 2 / 3))( h6 e* u( R: C8 j
            [ set color yellow : @3 h; i) ]1 g
              set age 0
" X+ g) p& G. d( e4 d$ x( V5 @              face one-of neighbors4 0 M. t5 l% U4 t: E
              set life-expectancy life-expectancy-min +
1 x9 D* }# l1 f/ K                        random life-expectancy-max + 1' ?/ M" p$ `5 @% o% f
              set metabolism  1 + random metabolism-mid
+ ~2 C& o) K6 j# A6 u: x$ P. v9 N( B              set wealth metabolism + random 30
- J; N% X- {) A& C# b( A7 H# S, u* c              set vision 3 + random max-vision
, \! m& `; `* t# R# I' M                set wealth  wealth + Wealth-inherited-mid]8 O2 w6 U- S4 `4 z# R) l3 _5 l
            [ set color green 9 ~& }: O* T4 y3 z0 N; y
              set age 0
' {" x: X. {7 O              face one-of neighbors4
6 \7 h5 {& n! B( O' J$ U              set life-expectancy life-expectancy-min +5 O" v) x+ j; |6 T3 S; A' u, ~
                        random life-expectancy-max  + 2
7 o5 V$ |& s. U/ Q0 x3 q, A              set metabolism 2 + random metabolism-up4 x; M' r* N( f- E5 }$ V3 u7 J
              set wealth metabolism + random 30
9 V: u) T, _- Q% B) V: [' s  M              set vision 3 + random max-vision
- o" p( q( p# P' M$ Z1 Z              set wealth  wealth + Wealth-inherited-up ] ] ) u6 H% ~7 V( d) J

0 ^) V- p# i& z4 s. J, [/ Tend
1 E) G$ @% ^4 W  _, \) [) b* Wto set-initial-turtle-vars-wealth% p) C3 K7 w. i; u1 i( H( o
let max-wealth max [wealth] of turtles
7 a% e6 u% T" u' j  X4 n+ s          set age 0* ^( T* G; j; Q0 Z
          face one-of neighbors4
( |) Q8 ~* D. }0 k4 l3 m          set life-expectancy life-expectancy-min +
) S0 Y! q2 W5 f& `; p                        random life-expectancy-max
5 L  }2 J$ I- F8 X/ Z+ }          set metabolism 1 + random metabolism-up
9 O- |9 N- X! E2 L1 I          set wealth metabolism + random 30
6 K: v  B/ u1 E3 R* C          set vision 1 + random max-vision
- Y8 Z* l! c. E& M8 B9 c+ t% Kend  H$ |# s( [+ o7 Z# @/ a$ k3 A
to redistribution
% R1 Y, @0 R, ^7 ~5 j4 K! elet max-wealth max [wealth] of turtles
: K+ f$ {  \$ X6 Q" elet min-wealth min [wealth] of turtles! w1 q+ i0 z. N1 ?  o
if (wealth <= max-wealth / 3)0 z  F4 K  W+ D! S
[set wealth  wealth + Low-income-protection ]6 o6 S. U' W% ~0 ^/ z9 ]
end9 J4 K( _, L0 ?5 |! o4 u# u
          / o( G3 @0 m+ G3 J' n
to recolor-turtles9 V& G2 G* W- [, U! [# Y0 O  A5 ^
  let max-wealth max [wealth] of turtles: |# _3 X. ~  `: p
  ask turtles
, }2 i  e! R1 O. Z: T- L   [ ifelse (wealth <= max-wealth / 3)# l% R7 D( w) w  G& S) |% h" c
        [ set color red ]
' @3 ?8 o* T* n8 {) A        [ ifelse (wealth <= (max-wealth * 2 / 3))* V# z; _. z7 q4 w9 k
            [ set color yellow ]
# \2 [' R9 @$ S, [            [ set color green ] ] ]
+ B( t& g' ?- }) X( j! m' y ask turtles [ifelse show-wealth?9 U; G3 L0 }/ `6 ?2 p. K% X
    [ set label wealth ]
& X' s. ^2 ?; @: S2 P9 X" F  c    [ set label "" ]]
, c& i: i/ u- p( ^0 K% q! h6 _* K( Bend4 V, |. G3 k& j

( n0 x. N5 N6 }/ I* Ato go' R+ F8 z+ B6 a: @
  ask turtles' a$ s6 a* }0 [& ~6 [
    [ turn-towards-grain ]  1 Q' W/ a" C7 U! ?
  harvest
. x+ I$ C6 h1 v& ^  ask turtles6 l( k9 s% d$ _$ r
    [ move-eat-age-die ]. E% S/ Y7 U; }
  recolor-turtles
$ Y" u8 C2 z0 h$ B7 v: z" H/ I  if ticks mod grain-growth-interval = 05 s. D# `7 E: M$ O' W
    [ ask patches [ grow-grain ] ]
# N6 l: d+ U$ v$ E6 J8 r$ j6 _   
4 |( e8 x  A  @: w  if ticks mod 11 = 0% B! V3 l+ y# [
  [ask turtles
( S3 @# m1 e6 m6 H/ o5 }5 M  [ redistribution ]]- i/ o) b+ k! [3 R* ~* ~7 ^" j, G9 Y2 Q
  if ticks mod 5 = 0
* o! T# L, N6 i: T3 Q% p9 v, A   [ask turtles
9 I# T6 K  U1 ]6 e8 D; q6 Q  [ visions ]]
* I+ F, a! H2 _6 V# W8 |" g  tick
' m; t, Q. l% ~" D9 _, f! L  update-plots2 G0 b! \( x  f/ ]
end
  c0 W5 j, ^3 z4 A; V) J1 p7 o7 n& G+ B0 {to visions
* m6 [' }  {# R, d6 X' { set vision vision + 1
6 Q9 V; }9 j! s4 R7 V0 qend
. w- `; Y8 ~' w" X5 r
; N7 \7 p+ M+ ~& L' E
  Z9 J0 |& w2 K0 v+ ]! d  o8 n4 z; v+ }
to turn-towards-grain  $ w( O1 P  L. W* I6 O: k
  set heading 0( l' I. \) i  F. _% D+ }
  let best-direction 01 A* [1 U3 H" ^" l
  let best-amount grain-ahead
$ j3 ?  a1 g9 ]4 m4 `* m/ N0 n0 H  set heading 90
/ v' T, c3 p/ c9 G# x* U  if (grain-ahead > best-amount)1 I6 e, m: y& q8 z# ]
    [ set best-direction 90/ ]# s# l4 z5 \& I: c/ b
      set best-amount grain-ahead ]! g6 U9 F5 r3 k- }0 _
  set heading 180
" R8 g0 r6 p* k% O0 e) O2 @  if (grain-ahead > best-amount)
2 }2 c" @3 X: w    [ set best-direction 180
8 F1 o+ c2 Q% b0 X      set best-amount grain-ahead ]
$ R0 _7 v& y8 s- l! w8 e  set heading 270
) U# v) G% Q9 o2 R! [- b5 g  if (grain-ahead > best-amount)8 J! ~) @4 i/ ]& \# q% N* r
    [ set best-direction 270
# X, m# R2 N7 M2 @- E      set best-amount grain-ahead ]
' @; u% M/ h6 j7 R# a; X  set heading best-direction
1 @7 J0 B2 }5 v2 i2 j* D: {( W& Jend" M. W) q' Q  Y7 ?5 m
5 G2 J- t% ^( _: j) m  U( i
% L- ~, P3 d% U: T
to-report grain-ahead  - E2 K6 T6 w1 s+ L7 G$ P" F
  let total 07 P  v) d$ f/ |1 G6 P+ n
  let how-far 1
6 g5 Q9 t' d* K3 s1 V1 [  repeat vision
( U# Y7 {$ G2 l! x    [ set total total + [grain-here] of patch-ahead how-far. z1 i2 b# _2 R1 ^7 q* p
      set how-far how-far + 1 ]
0 r) {5 q; y& l- T  report total
$ d9 ?. v8 n; W8 K2 R  xend. u0 i3 N8 C1 _" g: s: |
6 V! }8 w, z; h" K  L
to grow-grain 3 a: q" D) W  T- P1 A1 o
  if (grain-here < max-grain-here)
7 Q, n4 K+ L/ x. n" y1 v    [ set grain-here grain-here + num-grain-grown
/ G. E/ E# I6 G      if (grain-here > max-grain-here) / S6 N6 @; ^$ t* _& s4 ^% m
        [ set grain-here max-grain-here ]
& F9 {/ ]; S( a0 T* `( u      recolor-patch ]% F# g0 b& F% \. d
end
# g- r% L4 x4 q3 h1 hto harvest2 R* v8 G) d5 K" N
  ask turtles
0 v% F. @1 w- |4 g  R2 ~& W    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
5 a7 v2 K$ H' G  ask turtles
1 o/ Y: q3 ?. C& q% h1 U( m    [ set grain-here 0
' h4 c4 s9 Z8 m$ }+ Q* o      recolor-patch ]7 X3 ?  f' D. f+ j
  
8 |( y* C7 l& E2 I) S$ O' pend
1 @/ X0 e; ?2 h2 ~7 B! d% Z+ |/ G  Y* o2 C0 q
to move-eat-age-die  
. o  S& v2 S2 h& t8 T: _# \  fd 15 T& C/ i+ s" t
  set wealth (wealth - metabolism)
4 m6 \' p! b3 t    set age (age + 1)% d; E/ x# Q8 e
  if (age >= life-expectancy)/ m) _( @4 M+ y$ T
    [ set-initial-turtle-vars-age ]  x( l& C0 R% r1 T/ W
  if (wealth < 0)
8 f( Q* b" i, a- [    [ set-initial-turtle-vars-wealth ], P5 l* m; m4 z$ i5 K, ]9 a( @
   
& l5 N1 ^9 s9 f( a- qend
# I, T( {6 Z) ?) x& }! N$ v. s/ T6 b$ n8 {
; K6 ?- N+ A! H. u, {  x
to setup-plots
0 A' A( R, f! Q7 p( |1 x9 w( u  set-current-plot "Class Plot"
" R" l" I/ a- U7 _7 i  set-plot-y-range 0 num-people
' x+ \% [# b2 H* L+ x- R3 l  set-current-plot "Class Histogram"
+ q5 V9 a9 `0 B# T  set-plot-y-range 0 num-people7 a# t1 w8 k2 ]9 q+ d# L
end
0 z; L7 F% S1 v2 o6 E) w5 \" {3 h$ U6 l/ I, h6 J
to update-plots/ z9 M( `, R; M4 H+ q( T/ j
  update-class-plot
6 `# I) G% X; l1 s7 P* q" n  update-class-histogram
& n: k8 R) u. @! E9 n  update-lorenz-and-gini-plots
1 S. l* G, J. h- G$ }4 c, o0 _6 zend" ?( F( s+ G9 Q, b8 i
; o% {% b, p8 F. J! k! Z" Z% F
to update-class-plot" \. Q: H) i1 |2 Y: p2 D! I
  set-current-plot "Class Plot"
- ], @1 A$ M- r4 `5 x* ]  set-current-plot-pen "low"
+ z# j, M0 F, ^  plot count turtles with [color = red]
3 A: p7 ?  ^! g: g  set-current-plot-pen "mid"" K# R6 l* B. x) O2 J
  plot count turtles with [color = yellow]
( Z& V' o# X5 c, ?1 y9 r  set-current-plot-pen "up"
! [, S0 q) A0 F- x  plot count turtles with [color = green]4 |" ]" }7 N6 R6 C
end" E! L( o( v3 h& k( W4 k

9 K) ^7 B) }" sto update-class-histogram0 c( G, ]: `- V" ]
  set-current-plot "Class Histogram"8 D* [9 i- E" J
  plot-pen-reset
2 H% C4 U8 Z  `$ h  Z  set-plot-pen-color red$ O& R7 Q/ Q$ c1 [% Y
  plot count turtles with [color = red]
- y- t1 ?: K5 u  t  set-plot-pen-color yellow
1 A: }; A5 {3 z. P2 c+ e$ i  plot count turtles with [color = yellow]
/ \1 V/ q) s+ k, e  set-plot-pen-color green4 z  {9 W2 O2 Z4 P8 N. i
  plot count turtles with [color = green]
; n- H- N2 C* v. i) j" A* Send
4 J- c: _! a. F0 u% g1 P3 Tto update-lorenz-and-gini-plots
$ z% {2 a: \& i% k6 _& d, I  _  set-current-plot "Lorenz Curve"/ P, K: W! M# R0 X# C- t8 t4 ^
  clear-plot
1 @# `" O7 P3 `( e
( ?4 T( i( `6 b* h' ^  set-current-plot-pen "equal"
' ?7 W! K4 L' ?# A( }  plot 0! K1 y6 Y% d; l$ B* }6 F
  plot 100
& r/ f4 @; u& m+ X4 T5 b- _
  U1 c7 M8 F" S* O! i. B  set-current-plot-pen "lorenz"5 B* c6 X1 \/ c" o% X
  set-plot-pen-interval 100 / num-people
( u! i: P9 l+ G& R  plot 0& ?# m3 H" [. }. o: D3 q
3 v6 w0 G  {, }8 j
  let sorted-wealths sort [wealth] of turtles
# j% O, e* V, C3 s  \  let total-wealth sum sorted-wealths
) |& t" p" v( U# G9 [  let wealth-sum-so-far 0
% V6 A! ~* c# E7 c5 g) ?, b1 }2 E  let index 0' R) e( M4 h, U, Z3 s8 s, k! ?
  let gini-index-reserve 0
8 u/ m3 y+ \8 z7 N* N6 |" A* H) b' M- \
  repeat num-people [( Q4 S4 S+ L* m) ~; u
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)* `$ G  u* J  J- G- L, Y
    plot (wealth-sum-so-far / total-wealth) * 100: d1 F' g5 M6 ?( P$ A
    set index (index + 1)5 l6 A2 ?. _& x% D
    set gini-index-reserve9 I; \3 L2 s& S' P# ^9 S& `
      gini-index-reserve +. s  T, m: F' `+ m, L
      (index / num-people) -
: d7 |5 x- Y1 t3 G      (wealth-sum-so-far / total-wealth)
8 i6 k. ^8 l: y2 F- {, q6 g  ]0 E) j, N, `5 `- W
/ J; {* O4 e& b, S- f1 n  d/ z' H
  set-current-plot "Gini-Index v. Time"
( J4 Z4 ~; L3 E  plot (gini-index-reserve / num-people) / area-of-equality-triangle; O7 @" Q" J8 B: r4 Z0 R) f3 T
end' a/ T, Z/ k3 _' h
to-report area-of-equality-triangle. o5 R$ H. r  w) E4 P
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
0 h  k$ B) _. D0 }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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