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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
+ q& ?0 t7 B* n2 k/ h- f" Sglobals) n5 {5 D6 F5 y* B8 p
[
9 @7 y) N4 z" G9 |1 I! l! F3 j" e  max-grain    1 y; s% z% p: t9 l2 v  ^
3 x7 P0 K8 ]- N8 J6 ?# N6 \" x
]
  m# h( g5 E  F) R1 T
: g* T5 m+ f* K' {patches-own
% {7 b7 G) z0 m$ A0 ^[+ Z- k" {0 o/ f0 D
  grain-here      
4 V: S. _4 j$ }. g$ B  max-grain-here  
% K3 c. m$ S/ G5 e0 []  G( y" `4 ?( I3 y1 A1 W
; v$ w" v* L7 k( q5 S' _+ u) W
turtles-own% O+ q: T; Q- g8 _0 M0 j8 F( G
[
4 w" P6 Y6 g1 t1 s( i# {! c  age              ! c& U. b( b* i0 ]4 O* T" W$ i
  wealth         ( `7 ^* y. g8 i* O# l
  life-expectancy  
1 X. S# |3 h1 I8 e3 [  metabolism       6 Q: ^/ X$ j! J9 B3 p9 l
  vision
3 x' L0 q5 ?. c  inherited         ; V0 v. o7 L( T/ ^7 c
]$ u0 ^& \  t- x# `# Y6 h# S
8 U! u  t7 p7 U0 g; r

: F* U$ B- E2 [4 L, p# c" Yto setup* R0 {( F' O1 X
  ca
/ T* a3 h( a- e# O  set max-grain 50' D7 T4 C- H* ^: f. ~
  setup-patches! [, V/ R4 m3 s! S
  setup-turtles
$ }5 K* e4 w0 ^! Y6 R0 e  setup-plots
/ O) v% a1 W! ^& e9 {  update-plots1 G: s2 W( L+ P% o
end, M$ L! c. [3 a1 P7 }4 r) Z
to setup-patches
3 c' [7 r$ ^2 Y! s" p% e6 N  ask patches* g+ a/ V" b$ q4 q
    [ set max-grain-here 0
5 X! l# r7 G$ u* y      if (random-float 100.0) <= percent-best-land$ t- O/ c$ D7 e, V
        [ set max-grain-here max-grain1 c' G! x3 Z0 I" L
          set grain-here max-grain-here ] ]
9 G3 c/ v: @6 B0 ?2 r8 a% Z  repeat 5
8 |* G. L+ Q+ o! T5 t$ {    [ ask patches with [max-grain-here != 0]
$ ~: V; T( b* Q8 \8 M& o  y" K        [ set grain-here max-grain-here ]/ o7 K+ t  e" Z% v8 O
      diffuse grain-here 0.5 ]
1 W7 i" f; L' j  repeat 10/ a3 v8 B7 k4 _  J
    [ diffuse grain-here 0.5]          & x# d! N% X3 N$ l. c0 @3 [
  ask patches1 r; P8 O/ z, v  i& s9 ?; U
    [ set grain-here floor grain-here    4 w, R  [5 F* ?" U6 F
      set max-grain-here grain-here      1 l* l0 H/ ?2 P# q" J& s9 @+ v% q- M
      recolor-patch ]
. q8 J* d9 B3 Vend
- P! ~) \7 b+ \: o3 Ito recolor-patch  . P6 }$ _! z  ?5 f- T  w! S
  set pcolor scale-color sky grain-here 0 max-grain
- y* {9 {; F5 `. q$ ?end& q1 j& i' E/ ]! z, {) Z
to setup-turtles* [  c/ k8 L% g. k3 |/ f
  set-default-shape turtles "person"+ s9 F- J' D3 _! Z2 p' r
  crt num-people
3 `% r/ I4 N7 A9 M7 z1 C5 V" Z; e    [ move-to one-of patches  ; h8 i) G/ |4 R  f1 c+ U+ E0 S
      set size 1.5  9 z: S5 i, t; m6 K$ a
      set-initial-turtle-vars-age7 l6 X  i) W6 t6 ?
      set-initial-turtle-vars-wealth
6 g5 G3 i2 X" u/ F0 ]      set age random life-expectancy ]
0 R- a+ ~) p/ ~) i7 m& t  recolor-turtles/ k' h: w3 L% b& ^1 z
end
) h& ]) \' k. `5 \6 r' l$ i7 a/ R7 H% c8 b8 _( G
to set-initial-turtle-vars-age, u  p8 ^. F% e; d1 p6 J
let max-wealth max [wealth] of turtles
7 K) `& k* F; [* ~2 A/ h, `* T    6 B: x2 [9 M" G  b8 ~9 c' X4 \2 s' r
     ifelse (wealth <= max-wealth / 3)
- x- Y8 A) X- D0 i3 J        [ set color red
, M" P5 V2 x( N: [          set age 0" B* i, v! Z: ], F
          face one-of neighbors4 9 Q$ s7 y) q, j8 `8 n  Y; }9 Y! I
          set life-expectancy life-expectancy-min +
! ?& t( S: g- B6 x0 h                        random life-expectancy-max
6 |" ?2 g# J0 U+ J          set metabolism random 1 + metabolism-low
- d; s4 G2 A# n( r! X" ^8 B          set wealth metabolism + random 30
4 b6 Y6 H. s" D  O          set vision 1 + random max-vision4 H2 Y; p7 {* x) s1 e' x, M
             set wealth  wealth +  Wealth-inherited-low ]" A- J; f2 C7 a8 V: Q' H- D
        [ ifelse (wealth <= (max-wealth * 2 / 3))4 Y! q, q& Z& F! |6 p9 @% ~
            [ set color yellow
& _5 R% r& d# B/ Y7 b. X& q' K              set age 0
7 F- }* l5 ]* B9 z  Y8 \3 J              face one-of neighbors4
- H! H" z: M9 Y              set life-expectancy life-expectancy-min +, b1 L. ]% P( p/ y; R" @* ?: _8 v) b& Q
                        random life-expectancy-max + 1
; A  D9 R4 k+ r9 K, n  k; P3 V              set metabolism  1 + random metabolism-mid4 W7 W. a; }+ m5 V# V7 z* b& q
              set wealth metabolism + random 30
) t1 y7 B. E  b1 A2 O              set vision 3 + random max-vision
& n. r1 S, a' K8 L5 \                set wealth  wealth + Wealth-inherited-mid]
  P2 w7 Q; ~( z, x% b            [ set color green ' \; }. w% t: p2 n9 I- k$ C
              set age 0
4 J# h3 F9 D( `! Q0 K# Z. b              face one-of neighbors4 % S' a3 i2 J5 x' a0 }
              set life-expectancy life-expectancy-min +, I8 S, [( y' |: U" {. V
                        random life-expectancy-max  + 2
0 M$ z: N& l. ~              set metabolism 2 + random metabolism-up+ A* y/ V% d$ r) c. F+ G$ m
              set wealth metabolism + random 305 a1 T$ m  |) k& r
              set vision 3 + random max-vision0 Q. Z# U- H8 {$ O
              set wealth  wealth + Wealth-inherited-up ] ] ! Z8 a- Y. f, S' S) u
4 ^5 G) N$ U# u
end
4 H+ {' M& f# \- Cto set-initial-turtle-vars-wealth( y5 D( {: E7 X' J9 `( o0 Q- R
let max-wealth max [wealth] of turtles
# i- X7 w, w* }* t          set age 07 l6 B- a7 Y$ Z- L5 q( e
          face one-of neighbors4 8 k! ~$ {+ F6 Y
          set life-expectancy life-expectancy-min +3 Q, F" x) n0 w& j
                        random life-expectancy-max
: d/ Z4 A) c8 d          set metabolism 1 + random metabolism-up
5 v+ W$ A" a; y8 j% m0 |; J7 g          set wealth metabolism + random 30
- I+ K9 v& T8 w- x9 r9 h          set vision 1 + random max-vision + E7 @$ g5 A+ m
end8 p6 K& ?: b1 p) N
to redistribution9 L( A' W/ ~# w8 w1 R' T
let max-wealth max [wealth] of turtles: E$ C7 K! j' I/ p5 @
let min-wealth min [wealth] of turtles
! a; Y+ R3 H; i1 |, sif (wealth <= max-wealth / 3)8 [5 T6 Y$ ]; ?9 w, `
[set wealth  wealth + Low-income-protection ]
; w9 |6 [- n: }% R, tend
' O9 \9 G" d( U- q1 F+ z; F# C% w8 b          / m5 o! `/ ~- e/ L* h) S
to recolor-turtles
+ N1 K) c1 t! U8 S7 h  let max-wealth max [wealth] of turtles3 T! p* Y4 C: |1 v" |6 K
  ask turtles+ E2 G% @  W* ?: G6 W
   [ ifelse (wealth <= max-wealth / 3)/ _$ `1 k! e* x3 g
        [ set color red ]
& m" E/ _: j" y" J& q        [ ifelse (wealth <= (max-wealth * 2 / 3))  e# g2 n/ z# y3 c2 }7 ?
            [ set color yellow ]; M" j" e8 U4 p- U7 u/ x, j
            [ set color green ] ] ]9 k& o' E7 F' l) m- G( a; j1 W
ask turtles [ifelse show-wealth?
9 }1 N; |, |. V: i    [ set label wealth ]# I, F) X: Y$ F9 y) G, R
    [ set label "" ]]; [; ]& t" n, D9 S: z) a9 M
end
* V/ E6 G7 U1 D/ E! z
$ ]( k+ |0 g) X) K4 J/ [% [to go7 X% K* S, j- U: C* w, U4 v
  ask turtles- X: F2 ?+ b& J" C
    [ turn-towards-grain ]  
" Z3 U% X9 _9 Y8 V$ @  harvest7 c4 U8 ?; C7 C- r) a3 r
  ask turtles% Q9 i7 g: B# W1 {3 |$ G
    [ move-eat-age-die ]) Q* ^6 O: w4 X0 x
  recolor-turtles' ]. v; J" Y6 r( r  q4 @! M
  if ticks mod grain-growth-interval = 0+ T( e; ^3 u6 Y4 s; h3 S. k
    [ ask patches [ grow-grain ] ]
- _% [; p9 U( {$ ?. ~  @   
( W! S2 E; `2 [- Q+ h: z. E; p2 J+ g  if ticks mod 11 = 0
$ T' ^/ E% Y# R" Z7 C  [ask turtles+ R* u4 X& K, O6 s0 u6 `( R; Q
  [ redistribution ]]
4 E2 i; D$ t5 r! m  if ticks mod 5 = 0
$ ^# D. b8 A1 l* a$ A* c   [ask turtles* P. ~  K' t+ |& @# }
  [ visions ]]5 _- y& S4 y) o7 Q! X7 J: r6 y" J
  tick
6 ?/ r( m+ O7 c9 f& l, w* Q  update-plots6 T& ]7 ?0 ?/ B
end
* S) {8 A1 M. C2 Vto visions
; ]* `. `% {, R set vision vision + 1
- E, o% J( M+ [( E: r& V  uend
& O8 G) A, h" Q% i5 k6 x0 O/ E& h" P3 p  n
, s) L* _* g8 q! _( n) O3 S3 B

& i  S6 b! o3 u8 J$ f! x, B/ ?to turn-towards-grain  
) v) q1 ?0 j0 W. Y  F% {/ M0 Y  set heading 0
  `" `$ ~" g6 T, V( j3 M+ P; d( c  let best-direction 0' L# c6 D) j0 p* N! C4 q) S
  let best-amount grain-ahead
( e( }: y4 }! K: e% V: [  set heading 90
( V) J$ {5 Y# ^* A% o  if (grain-ahead > best-amount)
& k. m" _/ }9 u  m    [ set best-direction 90: y0 ^! \/ h! U4 X0 x* B$ _
      set best-amount grain-ahead ]1 V/ q" Q. r4 ]4 O. H$ `
  set heading 180. p. d1 v; N. e' T9 s
  if (grain-ahead > best-amount)
7 |0 W% v5 p  V3 h. |7 h# @! }8 R    [ set best-direction 180
% K! A; s/ g# d& j  a' S      set best-amount grain-ahead ]. V  ~& Y8 o8 }
  set heading 270
0 ^4 P. A' i+ ?) L  if (grain-ahead > best-amount)
4 d3 C( Y: ]" m% T2 a, E    [ set best-direction 270* ]) `1 s, x& R/ k
      set best-amount grain-ahead ]
- O' x: o6 E' d2 p. f  set heading best-direction; p0 l+ }- ]3 p! {! @7 J
end5 w$ @+ k4 E2 A( A
8 ^+ R! U# W: g' R5 {6 q2 J
, j0 ^' _4 r  K: ?- w0 N
to-report grain-ahead  
; A, L' ~+ L* c, }! z0 G  let total 0
) H  i/ Y) E, l, T6 ]( D9 u& R  let how-far 1
) p. @9 u. X  ~5 ^  repeat vision
" t9 V' r* S; B+ |# b    [ set total total + [grain-here] of patch-ahead how-far
5 ]& }& Q9 e1 l. J9 o) g: n8 m      set how-far how-far + 1 ]
4 m- i; Y+ z- _& P& b* j  report total
+ U7 |  \7 I1 S" f  b: k+ E2 _end& T/ f7 W  i1 s9 k( q# r1 [
! Y9 P& L6 W! P6 [0 F+ f- h
to grow-grain
9 X* I0 @: P: V' M( {  if (grain-here < max-grain-here). |  i4 \( C$ }# m6 r6 n
    [ set grain-here grain-here + num-grain-grown
" r3 ~$ M6 W3 @$ s$ Q3 L4 y      if (grain-here > max-grain-here) ( o4 z2 |& G$ g" Z5 Z$ x1 ^% }
        [ set grain-here max-grain-here ]  d0 R3 u2 [! R# Q% A4 v( f
      recolor-patch ]% ~, N5 }! c; l5 ~1 h
end, o7 M% D% }' M0 M/ |) ^" v9 Z
to harvest; N" [0 O! \: j) u1 q/ ?
  ask turtles/ d# d0 x& q  f5 T
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
/ y. v; I- ~. `  ask turtles
5 G/ o9 f+ P  d6 z4 {    [ set grain-here 0) M  m4 F5 q; u7 {2 x
      recolor-patch ]2 N' C) c" a1 \, P5 y. C7 b
  & [# ^' p  M! J6 z3 K; g/ j
end2 t+ ~  o9 c" `" W& F3 S/ N9 T6 K9 Y5 H' e

2 D3 s) p3 g4 A% Rto move-eat-age-die  $ y- R" e8 q/ I5 P6 H+ p
  fd 1
0 {3 H* f& \' `5 B$ |- {, \  set wealth (wealth - metabolism)7 W6 s; o' x- C8 W; q
    set age (age + 1)& w* Z9 U5 j, i1 A
  if (age >= life-expectancy). A& v; a/ s# k) W7 S3 S2 I
    [ set-initial-turtle-vars-age ]6 N4 u# I' N4 k2 W9 U; J9 l
  if (wealth < 0)
) j3 S+ {! [$ i    [ set-initial-turtle-vars-wealth ]
+ `7 y. s( s0 `1 H1 |, v   
8 |( r9 p) ?, d2 d8 j" l, P2 w& pend1 D4 S- E+ C# m5 L' U2 k
/ }& o$ e$ `8 S9 @* C" E

9 ]. p$ C5 \3 \9 f6 oto setup-plots
0 o3 Q6 z2 _$ O, W  set-current-plot "Class Plot"
  {6 q, |6 U6 \: h) Z/ y  set-plot-y-range 0 num-people1 E: J- Y! V  g- V
  set-current-plot "Class Histogram"' w: i& K( L2 W# N4 y' J
  set-plot-y-range 0 num-people
8 V' ?) @( F! ~5 j) C* z4 Send
: O( J4 |2 N) h: i! O9 f; C
/ }4 z, L9 u1 ?( H- q3 M7 jto update-plots' ?7 ]7 N$ ^% ]6 Y' M
  update-class-plot8 _' n5 N4 J# ]9 H+ d
  update-class-histogram
3 G5 t# w% {7 X# ?, U/ f/ G  update-lorenz-and-gini-plots
  G( q/ O1 k7 x  f0 e+ ?% ~! s# nend; A& |6 q- z0 z* v9 i& c/ q& }
; ]- A; Z3 H, |2 r6 c! J/ ^
to update-class-plot
1 y4 X7 W* F# M% f7 Y9 [  set-current-plot "Class Plot"
$ c- P4 [* ~* G: l5 q  set-current-plot-pen "low"
3 y, U; S' ]- L; [  P  plot count turtles with [color = red]
# h+ r2 C5 x& w  set-current-plot-pen "mid"; N* h1 a- G0 Q* ]7 c/ k, [  B8 V4 q
  plot count turtles with [color = yellow]
* _/ w9 c2 j9 R: {  set-current-plot-pen "up"
$ H2 _$ R  Z& n, e' [  plot count turtles with [color = green]+ q, y& ^2 }9 k7 `$ E& k- [
end( S& o. n, o& n

  L8 c! @: o3 n# L9 j% f/ cto update-class-histogram
. p3 a  L* O; B: [* }+ J% e  set-current-plot "Class Histogram"; B: u. k8 E. G
  plot-pen-reset9 \3 X. i  V! t! Y" J3 ~7 D2 s
  set-plot-pen-color red+ s/ f4 D% m; T' J( c! [3 Q
  plot count turtles with [color = red]$ t4 I7 D4 S- Z: _* r5 G
  set-plot-pen-color yellow0 C+ J. v* [  h! v' H) y, Z8 @
  plot count turtles with [color = yellow]
% x$ a3 h/ s* \; c% d  set-plot-pen-color green
$ S6 n2 R8 l; c  e) ^  plot count turtles with [color = green]
" ?* Z* x9 ^' [# Yend' V! {0 s5 k1 c% j3 F5 R; ?
to update-lorenz-and-gini-plots
1 n" C% c! w, C+ X! O. {& b  set-current-plot "Lorenz Curve"5 I# [5 q( j6 t2 i5 O6 P
  clear-plot
1 x7 Y! w# P3 C! P0 h6 y$ X
: H0 y7 m! F0 t4 N  set-current-plot-pen "equal"( ^* w6 b4 Q. j3 W7 l
  plot 03 b; {% O1 A/ s! O; W
  plot 100
8 t8 q/ w0 X2 g' A: e" C" k- h) x7 f& F; q, k% `: V
  set-current-plot-pen "lorenz"* y# F  W/ u: k
  set-plot-pen-interval 100 / num-people2 J* i5 S+ d* k5 `3 k
  plot 0
0 C2 H  A2 H! I, F) Z" W# j9 M4 o4 L
  let sorted-wealths sort [wealth] of turtles8 O7 D' o2 Q# i. v0 J" c7 S
  let total-wealth sum sorted-wealths
4 s/ f3 w0 D2 W; j4 m9 l( u' T  let wealth-sum-so-far 0
# {% b' h" `' o. }9 e5 G3 B  let index 0
  a0 F% W& f7 C" n  let gini-index-reserve 0& x. j" ]# S# \5 E
' J8 O: U7 R  S
  repeat num-people [9 d1 U' f+ Y$ q' Z
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
% N/ {, R1 ?* Y2 I    plot (wealth-sum-so-far / total-wealth) * 100
$ M0 x6 g9 o. U- b  z    set index (index + 1)7 H$ c, A) V& ~: F- m2 @
    set gini-index-reserve
8 m' V- k8 X. y$ j4 c! Q      gini-index-reserve +
) s6 R  ?9 ~/ }# `      (index / num-people) -
; B2 S" i( K, y1 ~. X. L      (wealth-sum-so-far / total-wealth)- Y, B( `6 z& k% g" A# @/ v
  ]
$ _$ N; v0 ~, W7 o2 H% }, X  L5 L$ v' @
  set-current-plot "Gini-Index v. Time". s1 T4 Z4 G2 I' T2 S% q  _# `8 e
  plot (gini-index-reserve / num-people) / area-of-equality-triangle& I# K- {' H0 y4 m* o& M
end8 K& u3 f* ~  q
to-report area-of-equality-triangle
/ _+ r/ w+ k# g  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)1 ^' n- `; Q; W1 w8 _6 b% i8 X
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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