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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
) @7 t, B6 H- iglobals" e) k3 x; w3 o/ H! ^7 e  K. P: H
[
: H1 _) Y* P  M2 G  max-grain   
$ E" }5 Z5 R$ e6 t
: v: Z' M+ H1 `. ^]
2 E( o" W2 C5 h5 y) O- ^& i! Z6 t. A; O, M" R
patches-own4 z' h$ S3 R3 G, [
[3 U1 [; H7 i( X
  grain-here      # Q" M' M; a$ `, e
  max-grain-here  
% p! I$ I- ?. n" a]5 W& f' {1 x0 c0 [
$ t" M0 R: Q- Z! f3 A0 X
turtles-own# J6 T5 s9 A! X9 v# L
[5 U6 \' O7 P% G: U
  age              % @5 X$ z9 T8 p
  wealth         
: D& `- a/ J. X1 q% C4 n0 }" `  life-expectancy  8 x) H4 r* N& }! u* {
  metabolism      
- c& P5 V3 j5 Z( F  vision
% m$ R( _  L; _) u8 n0 o  inherited         
& D8 z4 K* J. C. D]1 u7 F2 {* `! L* h8 H/ n: \
. [2 U/ ?9 F, s7 Z  `1 x+ x3 g7 r
# {. [+ S4 x( g2 L3 r$ G
to setup  z8 Z' j! p4 t. `0 G
  ca. V$ m! H$ i1 a+ Z
  set max-grain 50
# A' w# E& g+ d& {  e  P  setup-patches
7 a, J! E: s# l  setup-turtles
* M! E: ~7 @+ Y! t+ p# v0 @% ^7 o9 `  setup-plots- W% ]$ u! ?& M# O4 S
  update-plots
% b/ o5 D$ F( M$ j/ L3 rend( v; c2 n; G8 I; j! ]1 d+ z
to setup-patches+ p/ d0 T# _& P/ p4 I# Q4 o  n
  ask patches1 }9 j) U2 C' Y" e0 H
    [ set max-grain-here 0
  N% F- k' N5 x# A0 z7 B! K" N, a      if (random-float 100.0) <= percent-best-land6 G, b' A6 `7 t# {/ m
        [ set max-grain-here max-grain
5 l, m- A! f2 E) t          set grain-here max-grain-here ] ]$ C4 ?+ S  i3 B5 C
  repeat 5
3 `! r9 W4 ]/ p- p! |4 M    [ ask patches with [max-grain-here != 0]! R$ X/ ~. E  [9 w9 ~8 I7 m. V- b
        [ set grain-here max-grain-here ], _; _% a1 {2 L
      diffuse grain-here 0.5 ]! n% c( P4 s# V5 w
  repeat 10
* H4 ^1 c2 x, V# P' V  P4 G    [ diffuse grain-here 0.5]          : u& c. t& C/ u9 k4 y
  ask patches
3 Q5 P+ x8 |' |, s+ \  w    [ set grain-here floor grain-here    3 A! R2 U. V! V: k% U% Q  d
      set max-grain-here grain-here      5 _+ q. ]  G5 @! y& G; {0 q
      recolor-patch ]. S& }$ Z; y: F9 q3 W- F# v
end
8 \% h. z& w6 p- q- S8 \- Ato recolor-patch  : F- K6 D; W# V: n
  set pcolor scale-color sky grain-here 0 max-grain
5 v5 E6 j* e3 k- q4 M! t! I6 Rend  L' h4 W' U% W) q0 U* v$ \7 ?
to setup-turtles
2 B: i- R/ b8 P8 |; C& D  set-default-shape turtles "person"3 u, Z/ H6 E9 k4 [
  crt num-people
# b! i) f+ g+ S: e    [ move-to one-of patches  
/ o" g5 H* A. r! L7 }      set size 1.5  5 J0 n8 ]% d$ C. |; K8 C
      set-initial-turtle-vars-age
( f; O. V. L/ ~      set-initial-turtle-vars-wealth
8 j- S: ~$ L/ ~2 f; E$ O      set age random life-expectancy ]9 T6 K" c* W# J0 o. G7 p" E
  recolor-turtles+ ]- W' f9 M5 Z* [
end
% n. j+ Y& \; h5 k: X7 n' I6 ^9 z" v9 q0 [! x$ k$ v# }$ }+ R5 {
to set-initial-turtle-vars-age
- }; d) A" M: [! p: B let max-wealth max [wealth] of turtles
2 g: F' |& s- N! F' {    2 f7 P0 ^4 V8 r" b2 z0 H4 I8 `; p9 |8 y9 U
     ifelse (wealth <= max-wealth / 3)
5 N! \( T) _. Y8 u4 z3 D: v        [ set color red ) ~6 }! \! I$ W7 ?
          set age 0
  m/ h, {+ e3 V3 D, r          face one-of neighbors4   Q( X7 \% [' z# y  z# m, @
          set life-expectancy life-expectancy-min +
* H' _! |) E1 t$ H1 Z5 |: }                        random life-expectancy-max / x  b* P+ o$ g* S. q! H
          set metabolism random 1 + metabolism-low
9 Y; ]) P  q8 y5 C. W3 G          set wealth metabolism + random 30+ n$ }( a* z" P% E0 D2 K
          set vision 1 + random max-vision
6 m5 s+ i6 i$ V9 m, S6 i- u5 q, {             set wealth  wealth +  Wealth-inherited-low ]
/ `& X7 y! u4 k) \/ D7 [        [ ifelse (wealth <= (max-wealth * 2 / 3))% b' I: x4 I  J
            [ set color yellow
1 Y# u1 T# _$ I& r# i5 r/ I) ^              set age 05 n1 T# D7 ]+ C0 T* k8 K2 }2 n. t+ G
              face one-of neighbors4
8 P% l8 h& M" R2 R; W              set life-expectancy life-expectancy-min +
/ ^3 Z& A2 ^( l6 A, w                        random life-expectancy-max + 1/ B1 L! k, O0 M' i0 j7 v! b3 b
              set metabolism  1 + random metabolism-mid
5 R$ h% [4 C# V# B3 D              set wealth metabolism + random 302 w- ]$ F( q$ s; p  v* r' o
              set vision 3 + random max-vision* C! x/ M% O( b# f) J/ w# w
                set wealth  wealth + Wealth-inherited-mid]
( W$ S. A8 R5 q  _/ P            [ set color green
3 ^7 P+ U" W! d/ a# x              set age 0
$ b  K( S7 w+ N; l) ^' P+ o- y              face one-of neighbors4
9 H. |$ U! y# t7 o1 L+ S7 H              set life-expectancy life-expectancy-min +
2 x% c- z+ ~! Y/ m; h                        random life-expectancy-max  + 2% S" x7 h- W( j
              set metabolism 2 + random metabolism-up+ x" J; B0 i' ~; a4 H4 U
              set wealth metabolism + random 30
0 L  {4 s& {: o7 ~4 U& \              set vision 3 + random max-vision4 `9 _0 ~5 p! d
              set wealth  wealth + Wealth-inherited-up ] ]
9 Z# f0 |. ~; l5 g- l1 V  q0 V0 M % i6 i, W  ]  Q0 R2 v" c" ]3 E/ g( R
end8 b- X% h. D4 G; {
to set-initial-turtle-vars-wealth7 b: S& |' L9 M5 `6 i- Y1 ?" d! B7 I
let max-wealth max [wealth] of turtles
9 ^+ c3 q/ h6 L. @) z          set age 0
/ e  @6 {6 ^( @. O3 q, k+ w          face one-of neighbors4
' v1 a/ E0 l& z          set life-expectancy life-expectancy-min +
" ?) i$ @1 `5 M                        random life-expectancy-max
: d2 K9 ]+ g% f9 R3 W          set metabolism 1 + random metabolism-up
9 ^4 H0 E; W; H1 t0 ?1 |3 E. u          set wealth metabolism + random 30& b0 X4 z6 }  t
          set vision 1 + random max-vision
9 ]; }2 P% Z7 i/ t0 j# n" W  y. Jend! ^7 O" I& s9 g0 }0 V. W
to redistribution7 p7 d- s8 M; B/ o( u* G: P' J5 R
let max-wealth max [wealth] of turtles3 e, a9 u8 u2 i+ P, c% M" T- g
let min-wealth min [wealth] of turtles+ Y7 ]2 d8 e& M5 v
if (wealth <= max-wealth / 3)( n2 V6 N7 Y' A# ?& l
[set wealth  wealth + Low-income-protection ]
3 x: u" q' @5 V( B+ zend
6 g- N! Z- A- P; s. k( P# ~8 x# k! G          8 {& e+ X5 k% L$ ?" Q* M
to recolor-turtles$ D7 A6 A( x6 [, ~
  let max-wealth max [wealth] of turtles
$ d1 i8 v' ?* n5 R; W  ask turtles1 y+ ]$ p8 \) c) G
   [ ifelse (wealth <= max-wealth / 3)
6 k3 [% D& |, T/ l' Q        [ set color red ]$ v) m! T* S# D6 D" ]2 ~7 N
        [ ifelse (wealth <= (max-wealth * 2 / 3))
8 d1 ]! r( V$ P- {2 M# Q) I            [ set color yellow ]. ^7 f# W, q9 F# @7 a
            [ set color green ] ] ]
1 Z3 }3 i0 s6 v& d  u ask turtles [ifelse show-wealth?
8 {* G# I" p7 m    [ set label wealth ]
% f6 L0 G% G0 \4 j% W    [ set label "" ]]
- X% z2 F& [$ S2 \7 P$ @: yend
+ {6 |+ u( k8 o- S1 P  E6 l1 w5 \% i  z8 y7 J- p1 F& [
to go7 m: X9 p0 g% k) }# i5 v
  ask turtles
2 [# `% m; s0 ?7 t  S1 ?$ u, u    [ turn-towards-grain ]  
  t0 Z/ o- T! C1 G' U, n  harvest- L2 Z6 {3 @/ Y9 v! y  K
  ask turtles$ G  i* [) }3 T0 S$ O' t
    [ move-eat-age-die ]7 Y0 p. Y/ H# {7 J" O' m
  recolor-turtles8 s4 U- G2 m* X# l9 M
  if ticks mod grain-growth-interval = 0* w4 P! b! \7 U/ h
    [ ask patches [ grow-grain ] ]
/ K7 P- I: f8 |) H" d" U4 Z/ n   
' |" k- {) l" ]4 }6 F2 p  if ticks mod 11 = 0
. Q) w2 I8 \$ a4 Q- a  [ask turtles; O; [. O4 Z! `$ u; A+ m2 w/ k6 D; D
  [ redistribution ]]
1 t6 y) J( S, Q- H' w6 ]  if ticks mod 5 = 0
+ J( Y8 v% v' i   [ask turtles/ G" i( v% Y3 q, L  j
  [ visions ]]
* \% U' `9 j7 j+ Z) f& H# Q1 E  tick
) V  t5 S; ?$ |9 `  update-plots2 ]! P$ d/ R# D* m$ N
end
3 s! a' C, g3 T# ~" uto visions
, H- P5 k" l, E4 L+ x' s) N set vision vision + 1 . Z- H# v# R, C# w$ L( k
end
8 L* U# T# F; w9 q5 W: v. ~: y* J7 f4 B: v6 e( L

+ c, Y( v6 B; D" g
9 \+ M) i: b3 ~) [to turn-towards-grain    b6 l, ?# f  s; q
  set heading 0* ]3 ]: j, {2 N; \( {
  let best-direction 02 w: h. b4 e8 c$ z7 g* H
  let best-amount grain-ahead  L2 J- U1 b0 R
  set heading 90  F1 g0 m1 Z6 N3 U0 f( H2 Y9 E
  if (grain-ahead > best-amount): ^) ?& b# c  ?* F0 U
    [ set best-direction 90
  |! R" t+ w0 e) N7 L      set best-amount grain-ahead ]
! u0 V( S: J( U3 q  set heading 1803 C  l- h$ w) B# X% b2 M
  if (grain-ahead > best-amount)9 O, H; m$ w* Z7 ^# K
    [ set best-direction 1808 R6 a& w" p' R- C8 d
      set best-amount grain-ahead ]  M4 S! Q& `% n' k
  set heading 270
- C6 W1 r) S) s0 Y  if (grain-ahead > best-amount)
# r' V% \2 j; l3 N% L; p/ ]    [ set best-direction 270
# m4 t+ ]4 y( Z2 o      set best-amount grain-ahead ]7 K& b- [8 O2 D$ H
  set heading best-direction
0 p& k  ?. P7 j% kend
' J& p2 r. E5 @8 N9 c4 ]
/ t) Q: a- n6 x1 e( n9 ~2 N. {1 R! `5 |/ o9 g6 b
to-report grain-ahead  ' U- ?) t8 F# t
  let total 0
& O3 I2 f+ G4 I. H- P  let how-far 1
' N( ~: {8 [: p* v# W  repeat vision
- m. v7 {4 Y; b; y3 W' r+ K    [ set total total + [grain-here] of patch-ahead how-far% k$ E- s, J) |0 ~4 g$ s% [
      set how-far how-far + 1 ]
4 o2 I( a/ W( o- f5 |  report total
1 S6 E3 |8 u4 k# Y% Aend% E! {* W) w7 p) v$ p' e
, G5 b$ q2 s. u& b; t; Q# ^
to grow-grain : _: k9 |* X1 T. D& [$ W0 C
  if (grain-here < max-grain-here)
( l) ^1 F7 A$ G: i5 m1 e    [ set grain-here grain-here + num-grain-grown4 k' O3 o6 S* t  x
      if (grain-here > max-grain-here)
9 B+ G* w$ L8 B2 D% Y; F/ y4 v        [ set grain-here max-grain-here ]8 _% g& V+ V, V, a# ^5 F
      recolor-patch ]4 O( o" d+ r( i# M4 H
end
1 ~6 U+ ^) Y* ]7 I* _/ s, ^to harvest
* G, I# @; Y4 o5 z  ask turtles/ a9 K$ D# E) u2 d! \- Y/ s
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]1 d! e! O) ?6 w8 w& ~
  ask turtles
& a7 Y/ G9 w+ A* [' I8 U$ Z) @    [ set grain-here 0+ j/ p- \8 t  Q$ F
      recolor-patch ]
: \% [# {' E% u" ~1 A" v  9 m) c7 i3 g3 d; W  o
end
+ {, `9 |8 e, L# u- I$ w
3 d, @) K2 f; X0 \/ Oto move-eat-age-die  ! P5 Y; \& v7 U) V4 Y# O/ w
  fd 1
# o6 B' ^# s( P5 u9 Z  set wealth (wealth - metabolism)0 {0 Q  D: S, G. ~- B
    set age (age + 1)
/ t& l% y/ H9 [! _$ \  if (age >= life-expectancy)% d; I8 u0 j0 g* i* c, F# l
    [ set-initial-turtle-vars-age ]
* B5 z6 n: l' \7 ^& b  if (wealth < 0)' P2 }+ G8 r, s, E
    [ set-initial-turtle-vars-wealth ]
0 x) a: D! F4 D. ^& q( D   
( v( |! G1 }! Wend
8 u, H) M# O2 O  `3 s' W5 x$ x0 `5 C; s, D& F

" K/ n1 Z( p! h# W3 Ato setup-plots
, T6 ^3 r& F  g- i* }$ m  set-current-plot "Class Plot": o5 D4 R* `  o' K4 A0 |) O  ]
  set-plot-y-range 0 num-people" k( E; W5 @+ A0 |$ C( }
  set-current-plot "Class Histogram". R) S* Q  M2 ~
  set-plot-y-range 0 num-people
1 H* g" b# s, R+ fend
0 a! U4 v- N* s& r3 I: V3 C$ G0 s: T+ h5 S, V' Q$ L' K) s5 [6 |
to update-plots8 u' j+ \. P1 }  ~
  update-class-plot
/ D. }1 I# r/ O  update-class-histogram4 k6 H# C' E3 Z( G
  update-lorenz-and-gini-plots8 f( g( a: C. |. f  f* O
end; p, w& X5 }; r; G1 n2 [
( U3 I: B$ F* A' l" }0 }! p: a
to update-class-plot8 S6 q$ h4 i4 g5 }, f5 u( N7 D
  set-current-plot "Class Plot"
: L) a& ?7 p$ m* i, ]6 `/ a4 n  set-current-plot-pen "low"
8 @& {& s% y. G0 C  plot count turtles with [color = red]
- f/ \  _8 }3 ^, q) i0 V& l  set-current-plot-pen "mid"
  }; C8 t+ D8 B3 a$ s) c& P+ X2 c  plot count turtles with [color = yellow]
& l& x& I- h# ^: k  set-current-plot-pen "up"
7 x4 q, r9 V. N2 l6 n8 }' ?  plot count turtles with [color = green]
, K; s% D% F+ gend& I2 d, i- o8 G" \( [

$ \8 x  g# V$ H8 d, p, ]  Pto update-class-histogram
$ U1 K- |& ?7 F5 m  set-current-plot "Class Histogram". U4 j/ g" f# ]* M; {% l
  plot-pen-reset
1 P5 M  ^% \. e: L0 b  set-plot-pen-color red: t/ R# |* [0 D) _
  plot count turtles with [color = red]: {& Y. [8 Y( b8 Y$ O( A
  set-plot-pen-color yellow
9 h7 x! B% X2 F- [9 S0 C- M6 Z  plot count turtles with [color = yellow]3 R! k2 {: H6 M: \$ C
  set-plot-pen-color green
; f2 s" C) P" a# M: V  plot count turtles with [color = green]
9 h$ f7 i) c. G. eend
% p0 V  H5 y1 h5 Z+ }3 o5 M# gto update-lorenz-and-gini-plots, D, g3 E( {3 @* g1 H+ X/ g
  set-current-plot "Lorenz Curve"8 f* i9 v) Q2 A3 J- {1 t7 i
  clear-plot
% Q4 {! \' m5 E4 J- ~1 A4 _' d* ~! J. {: [6 y5 O' l
  set-current-plot-pen "equal"  ^/ f- n1 ~* O
  plot 0! d* i3 ^! _: G. n" W
  plot 100
: z, T  j; a( I8 Q
- o& m1 A4 T- Z# M" g! I9 T  set-current-plot-pen "lorenz"
2 X) Y  g/ Q9 G- j! A  set-plot-pen-interval 100 / num-people
" j3 a4 c8 D4 V* @& W. u6 b* g* |  plot 0
* a7 t$ T9 G; i- e. u' j' h3 o
% f4 w/ F: O5 {+ X+ {* J1 c/ ~+ i  let sorted-wealths sort [wealth] of turtles
+ h1 Y7 a  h3 _& V! ?; |. ^8 s& Q  let total-wealth sum sorted-wealths
1 p+ P2 s% W/ U  b% M: D$ S" X6 D  let wealth-sum-so-far 0
2 W7 d3 I, U* s0 L) C  let index 0! _" [1 |9 S2 Z0 h& M! O
  let gini-index-reserve 0+ v$ n. f# C% r* Z
$ k' L1 w& \: A3 v
  repeat num-people [
& h* j5 I' J) k0 |- X" T! w    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)8 R) }% g5 [" E' G7 A! T* ?8 c
    plot (wealth-sum-so-far / total-wealth) * 100
5 V3 Y& B4 w) g& r9 V/ o    set index (index + 1)
9 y( o: f2 S( m1 P& K, A0 v    set gini-index-reserve4 x1 K0 ?) E& ^' R
      gini-index-reserve +" C# M& h' N# K' q
      (index / num-people) -
1 J4 Q2 h" r( T  b      (wealth-sum-so-far / total-wealth)
9 Q& U( ?5 D/ d* K7 x  ]" a' w4 {' p. S- F% O
# h! W! {4 {2 `+ c" `1 N
  set-current-plot "Gini-Index v. Time"
: g& u* v# P1 }/ ?% O. M  plot (gini-index-reserve / num-people) / area-of-equality-triangle
0 B  L8 c6 g: Mend
2 F' K7 J- G/ x$ Z0 u% B. Lto-report area-of-equality-triangle2 F! h4 A+ C. ?" W% ]
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)6 }8 X2 y$ i' n) C& A
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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