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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* }" e/ W% D4 u2 j! Y
globals9 Y1 P7 y$ i: a0 f- d! a
[7 Z. ^% \. {/ F# ^! O
  max-grain   
8 Y" u0 I) a, T- r  Z8 p2 A# k5 P$ K" T( k. n$ U. [5 j! M4 N# y
]7 \7 V& q; B# a, \6 |

& G- s3 _4 `3 M7 {. {+ q" hpatches-own
9 Z0 U% V& R$ S1 i0 z  J+ Z[
2 |& F; |0 l! k+ e/ J$ ~/ z8 J  grain-here      
6 N) t7 B7 F6 S- z! s* G8 d" N  max-grain-here  ( {: N* h$ ?( `2 q
]
' T+ g7 z4 V. i& d" b* j! |& P2 c2 R
! S! c, n0 e- k3 M" Rturtles-own
- o9 U, r' s: X2 L: k[
9 H; n( i! U2 o# I" g  age              
9 G) `) O6 R( I6 n% s  wealth         : T) b9 L. X) W6 o$ f
  life-expectancy  / W6 [8 i, q# A4 a, M$ d
  metabolism       ; J/ x1 l; {3 q' g) g4 `% }
  vision
$ K, N2 b4 ], B5 k  inherited         
. s3 |& \8 [+ Y$ `]1 e" D$ w7 n9 o6 I' w0 b+ l. P# J
/ V+ Q0 H1 x) N6 Z

7 z& x" ~+ }! z4 ^to setup7 Z2 c+ C! o: Q% i9 i5 r
  ca
! _" O/ O4 k3 u- g9 ]$ t  set max-grain 50/ s0 C" g: X& _" ^0 g
  setup-patches! ?3 p) `; o6 U8 w, z/ i/ h
  setup-turtles" `" z5 S: V; W1 @
  setup-plots& {/ g8 ]& |1 [0 @. z/ y6 `8 z3 X
  update-plots
- _9 n! u5 H  a3 t+ Dend
  k( N2 l: H  s; T' Wto setup-patches
: J: ]& k" N5 ]9 ~: ~  ask patches
& w+ {+ f" m3 l6 @9 U% ]    [ set max-grain-here 0
( A  h& E% y( {" D      if (random-float 100.0) <= percent-best-land) a& c0 D0 }+ ]) z
        [ set max-grain-here max-grain; f, q# e0 b& L) a9 K! D' x
          set grain-here max-grain-here ] ]
# I' z7 y& i9 X9 @2 j( m' `  repeat 5
1 z  C9 L8 H/ k+ R# ]4 I& K; K    [ ask patches with [max-grain-here != 0]2 f: D/ T/ \8 F" o: E9 N! |
        [ set grain-here max-grain-here ]
8 J0 t9 T- F# X9 C4 s      diffuse grain-here 0.5 ]- F& q2 ^, S: Q9 t7 |5 P& W; N
  repeat 103 o  ^, u$ Y, F3 ^% |; d
    [ diffuse grain-here 0.5]          5 [& K" V7 M5 `; O
  ask patches' ^; G6 Z; E/ D$ A# P# [# M1 U
    [ set grain-here floor grain-here   
' Y0 K4 y9 x6 ?) k$ O" z; i      set max-grain-here grain-here      1 r& ~5 t2 Y' |+ ^( ^( ?
      recolor-patch ]6 ~$ R$ v2 N, E8 |, u% w+ b- v
end
7 \4 L6 a3 \) r- @5 S0 ?to recolor-patch  / w1 z, m5 P; M
  set pcolor scale-color sky grain-here 0 max-grain
/ p; h4 v. r5 e* t1 Xend
5 x5 z. x# T& d/ R) q+ J$ @* [: ?to setup-turtles& I6 ~9 l  g  k" q& [+ s0 P' p
  set-default-shape turtles "person"
" k* W- ^: [+ D9 B  crt num-people0 W$ @9 D- U" R1 u* z7 X! S
    [ move-to one-of patches  $ H+ h8 _+ V! ^% L
      set size 1.5  
3 _% |. {: q  q) E      set-initial-turtle-vars-age
: M$ a; w( ]) M4 o2 U0 d      set-initial-turtle-vars-wealth/ i! K% g* C9 u9 a$ |; \
      set age random life-expectancy ]% x# q# g) c7 Y
  recolor-turtles4 y/ R. b6 e/ r( _1 u! @
end
/ Q1 B/ A* E7 E5 A5 K2 y' F# s- ]1 \2 {" ^$ i: N
to set-initial-turtle-vars-age
/ C4 S0 e4 ?) E3 \5 T, K3 j let max-wealth max [wealth] of turtles% A# {. k2 M& ]) n  z
   
2 l, D( V: h7 `% H     ifelse (wealth <= max-wealth / 3)7 p& ~5 B2 w& `/ R1 m4 P) c) U" ~
        [ set color red
/ u" W1 |5 z( j! ^+ _) p+ W          set age 04 A1 |: n+ f9 l6 j  d6 V
          face one-of neighbors4 - \: _) l" [6 K, x5 ?& c
          set life-expectancy life-expectancy-min +
& O( |* Q, D  v                        random life-expectancy-max ( W  s/ V( @; r5 X$ |4 p: _4 [
          set metabolism random 1 + metabolism-low
" L4 u: F1 p( a          set wealth metabolism + random 30
, d" ?, _- [/ K6 ~          set vision 1 + random max-vision
' a+ j  T5 h( u             set wealth  wealth +  Wealth-inherited-low ]
3 c3 S+ ?* `; t2 q& x- H5 q( \* Z        [ ifelse (wealth <= (max-wealth * 2 / 3))+ ^; ]$ U5 a9 G8 Z9 j
            [ set color yellow
( G; ~, f% ~1 y* S              set age 0
8 ?8 {. |$ s1 h" Y' F              face one-of neighbors4 3 l- ?" y* U! j' b: f
              set life-expectancy life-expectancy-min +
( X% b- Z9 s8 x' i5 y# L                        random life-expectancy-max + 18 T( a6 P$ C5 r) X8 k
              set metabolism  1 + random metabolism-mid% B1 |; X( q9 i# d9 w8 Y, J( U* \
              set wealth metabolism + random 30
" {: f8 x% G9 J( |              set vision 3 + random max-vision
, N* k/ _+ f7 E, t                set wealth  wealth + Wealth-inherited-mid]
& F1 m1 |0 |5 M3 i; s- {7 o" k( m0 {            [ set color green
- |$ C4 _& l& d5 ~  z- g              set age 0
/ o# n3 H, Q0 [# |: [; f# w              face one-of neighbors4 0 ^5 ?5 M! ]6 s# |
              set life-expectancy life-expectancy-min +& i# Y0 P8 b. F0 u8 p4 F* C
                        random life-expectancy-max  + 2
7 x# C  m5 V: {- P              set metabolism 2 + random metabolism-up
  A9 O. I8 F0 R3 H& q) C9 z              set wealth metabolism + random 30; ?1 j- k# t& [7 E9 |8 v- I
              set vision 3 + random max-vision
* J6 z: y$ t6 m/ {3 }: I- H3 ?3 C              set wealth  wealth + Wealth-inherited-up ] ] & g6 b! d9 T& p
$ r9 S. X; _; q' P
end
: D& K, F; ~0 j1 w2 `7 \" g$ d7 C; Nto set-initial-turtle-vars-wealth5 g- O1 a- ?) P; L4 H# o$ r
let max-wealth max [wealth] of turtles6 s! r) m" B; I( _; p! U$ r7 w8 b
          set age 0
# [4 C5 h2 v" k' b: n5 d          face one-of neighbors4
, U& i) h! W& J% S          set life-expectancy life-expectancy-min +( P1 x. P% `4 o1 W
                        random life-expectancy-max
5 b; ?& z/ m- G5 v' |          set metabolism 1 + random metabolism-up; O; f% T5 T: b# m' D
          set wealth metabolism + random 304 a( L$ x. F  A; V
          set vision 1 + random max-vision ! k, Y  u; P- I; {* M
end9 U! t% ^, d/ T9 l3 k! N
to redistribution; p5 d% a% R2 L8 x
let max-wealth max [wealth] of turtles! m2 U/ H% X* T# B, A- h( f; b
let min-wealth min [wealth] of turtles
7 @( d! F6 }/ J5 H/ ?. cif (wealth <= max-wealth / 3)
+ |7 U6 p6 q. m1 z: ? [set wealth  wealth + Low-income-protection ]
$ t5 a# u5 ?  I% X  H6 N9 Z. rend
) Y+ ]- e* v6 Z' ]  N- V          * V- F) a, e+ B2 @/ h! c8 T
to recolor-turtles
7 g1 r( k6 E. K, A* K  let max-wealth max [wealth] of turtles
+ O$ y+ b9 ]2 O  k- E7 R* V8 V' {  ask turtles; C( q) ^7 v% t6 y
   [ ifelse (wealth <= max-wealth / 3)
0 N6 q# {0 t+ E" o$ e6 S        [ set color red ]
% b0 a( L. a' V4 n/ T# f        [ ifelse (wealth <= (max-wealth * 2 / 3))4 n7 ?, R6 q8 Z/ k
            [ set color yellow ]5 l* _8 s" W; ~: u  P
            [ set color green ] ] ]/ q( [8 X) `& a8 b) M
ask turtles [ifelse show-wealth?
% ~, u* f" D% w9 l0 [% {+ P4 u    [ set label wealth ]+ P( Q' n- |4 M
    [ set label "" ]]5 i7 c. {3 S: k5 K% r6 X7 d
end+ R0 Y, T" E5 m0 @
; X% s, k  S4 C0 N; T0 ?
to go: \$ z$ b4 T5 A* b2 f6 h+ n( X2 B
  ask turtles
" }& l7 M' E' {$ U( F1 W" M    [ turn-towards-grain ]  
% N3 l/ Q6 _, e, q# m  u  harvest
6 s  r1 G2 o/ w3 b  ask turtles
4 S9 N4 L+ K0 d) {  h* e    [ move-eat-age-die ]3 d: u8 J, g  R% l! {! B
  recolor-turtles. @9 s4 H: v& P& K, J
  if ticks mod grain-growth-interval = 0
$ {% Y+ M! k7 {    [ ask patches [ grow-grain ] ]
/ L8 Y9 ^6 Z: v" n/ t   ) l. s. g$ s% B2 W
  if ticks mod 11 = 0
, m6 g$ o/ u) ?( r- N9 G! Y3 m' ~$ z( N  [ask turtles
& a2 k. ~% p0 L0 [  [ redistribution ]]
/ V) O! b* A- X. x+ A; u7 C  if ticks mod 5 = 0# m8 x+ }' T4 M; X+ m
   [ask turtles
! N) K8 V; t+ O  [ visions ]]
. _4 D$ R$ v2 A" T& _) ]0 F) Q: u  tick& f5 O/ l9 D# _( f
  update-plots
1 C/ @+ `4 z. M% k$ q/ n. ?: zend
) P4 z+ E- h2 x) p% N" ito visions" ]6 l2 O9 o  S% z
set vision vision + 1
* P% K/ J+ m# I9 Eend- V+ ^9 N4 l. [& _
0 t. U+ l. N  ~: ]; B) v6 k4 d

3 ^  q8 Q, [% {! @& V, D; c! z1 q6 s7 r5 h9 [" M7 t
to turn-towards-grain  
9 A4 V9 f' G1 b! [; l5 U  set heading 0
5 h. X# F( P7 |5 J& y! ~  let best-direction 0
& @7 E/ x" g/ U2 R5 R" O- \  let best-amount grain-ahead# \& k% X' o, c1 [( {
  set heading 900 l/ K+ j- {/ i* w% j
  if (grain-ahead > best-amount)- b0 g& i$ n4 \/ _  _: o3 [' \
    [ set best-direction 901 q$ [$ h" H6 H# k* X1 v" z
      set best-amount grain-ahead ]
4 y" F% ^$ }4 {4 P( p1 Q  set heading 180
; Y) n2 o- }7 t; E7 j  if (grain-ahead > best-amount)3 F' _5 C# \( @1 T( u; Z
    [ set best-direction 180
+ T' _, V3 W8 o5 q$ ?      set best-amount grain-ahead ]- {) B9 o5 P" J! j4 a& L
  set heading 270
4 V( S1 P9 Y( I# R  if (grain-ahead > best-amount)( R  T1 t% a" Q( f% b+ }6 \
    [ set best-direction 270
. q! x, ?% F7 ]. n      set best-amount grain-ahead ]
& ~+ b! t* }# }2 T' O  set heading best-direction8 ]9 A, M( A7 _3 r
end! _. d1 h6 ~) h: J: z

  [$ j6 Y! U4 m' I$ C$ U- m
0 i" O) {7 Y1 z/ z: Y$ xto-report grain-ahead  
3 N* W$ e) u0 E  let total 0
/ Q7 o  O) p( n1 m+ v! ~! P+ `0 U  let how-far 1
% e6 e6 o$ j" L. [/ p( V  repeat vision7 D8 n- g# v% ]5 B
    [ set total total + [grain-here] of patch-ahead how-far
7 [- F+ I; H3 E+ ^- z      set how-far how-far + 1 ]5 \" G; j  a  Y: e
  report total$ c/ }' ?# m& q: w: f8 E
end
2 I' \) |4 ?7 ?8 a8 J
4 j# j+ E4 C+ V: j9 U  ]to grow-grain
* a: b; P# M, e7 A1 N  if (grain-here < max-grain-here)% n4 ^% Q1 P- K; `# g6 i" S
    [ set grain-here grain-here + num-grain-grown: O; C6 ]! p$ a: O6 _
      if (grain-here > max-grain-here) 3 p8 p! ?. d% e: t8 ?
        [ set grain-here max-grain-here ]
% I+ }: \" x" a8 ~  V' j      recolor-patch ]
8 Z4 o" M6 \8 l  mend+ R/ D$ x  f; m; z. h, l
to harvest
* \! J! t1 w/ v  ask turtles
7 O2 d1 i8 y! g! v" \0 ?! e; ~. v) V    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
* d2 `" i8 t& B$ [; T  ask turtles
& ~; Z, y, P- B+ G/ @- }& Q    [ set grain-here 0
) I  y+ Z" s3 o0 _8 n! c      recolor-patch ]
$ N" u. e) i0 u' }# G2 v# V  6 v; k: H0 L0 m* Z# R  P9 B
end1 {: t/ s! D' Y: G5 ]/ n
- g" s  c1 P! j+ D  z! Z
to move-eat-age-die  5 I& r" J3 i' X% F4 a7 p
  fd 10 A5 \$ ^* V. |& h. R
  set wealth (wealth - metabolism)% a6 b$ u- x* S$ b' k6 |7 x
    set age (age + 1)
6 P/ u4 T$ ~! J& l7 m$ T! R! n0 J  if (age >= life-expectancy)
& B- J% H# }3 e/ ^- W: Z    [ set-initial-turtle-vars-age ]3 H7 b1 S7 Z9 p3 l* b
  if (wealth < 0)6 Z3 {& X% L+ Q6 @  p5 p- A
    [ set-initial-turtle-vars-wealth ]
/ T' r8 N# D/ Z; w- `$ G. O   
' N+ `2 J7 h4 d; ^+ J) ^* send
8 G- A, z, |$ ^4 I/ U4 h. ]  x3 ?  x

+ W: t' Y) y) z, p% p$ o0 R: F8 ?to setup-plots
# {8 ^0 e$ @+ t- S  set-current-plot "Class Plot"
( ^5 R4 Z) U( }1 z% y% l  set-plot-y-range 0 num-people
1 n. u2 f+ C2 |2 I0 o9 H8 I$ {  set-current-plot "Class Histogram"
  l5 k0 b1 q9 o7 c6 j  set-plot-y-range 0 num-people
6 f) R, k& t4 o# cend
' f; b6 I6 c8 L$ {
4 ~* ]* x' X5 Z1 Q! X4 i8 W5 P- W" H3 Sto update-plots
" b4 ]; F" }  H; g8 W  I8 L* p  update-class-plot2 [$ m6 ?" r: U) C* B: f# P
  update-class-histogram/ l0 f7 h1 r! V% Y
  update-lorenz-and-gini-plots
; ~/ V! I; M8 _2 X$ {2 D0 G+ Pend& B3 W1 b6 H3 }( Y' f$ y2 D

) @* w, J' i* N( d, ^# V; t, H% Pto update-class-plot
* X; q6 L- I8 o6 x$ w  set-current-plot "Class Plot"
/ O0 s: b. O. d$ m* x. V  set-current-plot-pen "low"* z/ B  L( W% L2 c+ h% q
  plot count turtles with [color = red]
: p5 h/ t! o0 d0 @/ n  set-current-plot-pen "mid"
7 }& w; `( f# U. X) X  plot count turtles with [color = yellow]
7 |8 }$ M  W$ {  set-current-plot-pen "up"
  B3 G2 E. k, v8 E  plot count turtles with [color = green]( C  i- ^1 y" J9 O9 A
end
/ [* y* G6 T: u+ T3 o) p( s
& G+ V/ q  Z9 @9 qto update-class-histogram
  I- V* T2 p, q! H  set-current-plot "Class Histogram"
3 R$ c3 m: w+ Z. L  plot-pen-reset$ S) j9 @/ e0 c0 f) B: P$ g( d
  set-plot-pen-color red3 n/ `, x6 p7 ~; ?) A3 m
  plot count turtles with [color = red]9 X7 Q6 ~' u6 E3 j& V* ]
  set-plot-pen-color yellow' N: B  F( Q1 @% m. H& {& g
  plot count turtles with [color = yellow]( q# l1 G6 u  l5 f3 j
  set-plot-pen-color green& S% O6 |: C3 N5 N. ~, N
  plot count turtles with [color = green], J- z. ]! Y$ d
end# g% }  \7 b  [  k2 s5 _( u5 }
to update-lorenz-and-gini-plots7 j$ ^+ \6 ?$ u. i
  set-current-plot "Lorenz Curve"
5 m! }5 L3 v( x) S  clear-plot7 v% G7 W9 i) Y5 V9 C7 k1 z

! y6 a$ c& N6 g$ o, F4 N  set-current-plot-pen "equal"* Q' `& s2 F7 k% ?4 A, M
  plot 0$ J( z+ X5 N6 \9 O1 k  O
  plot 1009 m3 f, T# L; {$ V0 C' D7 L
# f9 z" i; h: h8 q2 D, I) b
  set-current-plot-pen "lorenz"
, [* i! p- A5 d( `; y  set-plot-pen-interval 100 / num-people; H6 x6 J7 _+ C2 ~9 P, q$ W
  plot 0
0 I" Y+ {0 G/ b3 W! A- d8 s5 C* w* Z! Q* A7 ]$ r
  let sorted-wealths sort [wealth] of turtles
' v: _0 U$ Z" j8 c1 s4 Z  let total-wealth sum sorted-wealths
  ^8 n  s" B' |% l/ b6 F, m6 p  let wealth-sum-so-far 0
/ v; m3 z( p) K) Q7 \  let index 00 R; Z( ^  t5 \9 Q! A& B
  let gini-index-reserve 0- e7 v, x6 C2 `/ A' |7 v
* e6 h5 x: `1 V6 c
  repeat num-people [
5 ^0 s& Y* ]8 V' l% n    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)8 I$ N' X: e0 n; l5 I6 n
    plot (wealth-sum-so-far / total-wealth) * 100
: n+ o. I" v0 T, E+ d    set index (index + 1)& f9 i9 m9 K/ Z. W2 S. i; O
    set gini-index-reserve0 u0 p2 J" e$ v) h& B* o! V1 {8 t
      gini-index-reserve +
- w! E4 S* B- f: U' R: i$ U% B: @4 ]3 U      (index / num-people) -
* y  ?* I" n/ C, |      (wealth-sum-so-far / total-wealth)
8 `# [7 x; I' |* R+ z  ]
9 ?  l# |- m2 v/ d  b0 [2 K' b- K' e1 M9 d7 \# q* ^
  set-current-plot "Gini-Index v. Time"
5 l, O% I' L5 v8 E0 ]5 F# A  plot (gini-index-reserve / num-people) / area-of-equality-triangle
1 I) m7 Q- V3 a. Yend
- Y$ n4 ?& T. Y* L+ j: Nto-report area-of-equality-triangle/ j  {" P# N+ i1 n* e9 @$ J1 T0 j
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
7 R; U. c$ N4 Z9 \. w/ b/ 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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