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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: R5 h( U/ u. W1 V
globals) B8 x, ]0 b4 \" ~$ @
[
: ~* ?/ \+ I; w  max-grain    & g8 |0 e0 O% W0 B( Z" B

0 n& L: L3 c/ \. V5 C& L]% }5 `* y0 \$ X

/ \+ }8 e& f$ g7 H* j: apatches-own0 _! W$ n- _' Q7 C& r( T) D/ P
[
/ Z% o' U1 R+ `6 I! v3 g  grain-here      , U& ~  f: d5 k
  max-grain-here  8 P1 R0 D  m7 Q4 Y
]: s, ~$ q$ N  v: n: M' q; c2 G) u
: T  l, E. O0 u' {, q
turtles-own9 ]% h3 J. W% h3 t0 c8 y1 b0 l
[2 O  _6 w8 D* {) P; t  e
  age              7 _% _5 G2 p& N# r
  wealth         
& T. S" m- `- A9 J  life-expectancy  5 u4 i* i5 ~) k6 L' N5 S5 T
  metabolism       1 |& {' b; v0 t% k. @) A
  vision$ P) m# P+ c2 D8 l) N. J+ V; D
  inherited         ( G3 s4 b# \; J$ X7 |
]% x( g# p/ A/ _6 a) J
" R, j3 i/ Y  k
3 I: J) c2 y+ m# |) F7 R2 W2 M
to setup9 u# Z2 L6 n8 P9 b5 u5 `
  ca
7 q4 ]# d* N% s( [# d# d  set max-grain 50
; y4 D7 x6 k7 N: G8 b8 ^5 K0 y  setup-patches2 x4 h  m2 T6 E) m7 K3 @
  setup-turtles3 ~( a, j1 S2 q" i1 Z9 p
  setup-plots
- O; R1 T; Z/ f0 @  i9 o  update-plots, @9 T/ r2 G9 t+ X! D
end0 }; }* Q- A; Q' x: d
to setup-patches9 H) O9 a$ {, r+ _5 ]* a
  ask patches
3 d. k1 ]# u# g& b& A; a    [ set max-grain-here 08 n8 I0 u4 }$ B: R8 k
      if (random-float 100.0) <= percent-best-land7 ~# z" J3 X3 n6 j- d8 h. |
        [ set max-grain-here max-grain
7 n, F7 S# z7 f5 q' h          set grain-here max-grain-here ] ]
3 L( }9 q) J$ p& H3 D  repeat 5
  r% k# y+ M6 `: ^  m: M3 h9 b    [ ask patches with [max-grain-here != 0]
. ~2 ~% T5 p6 p0 y- J1 r  g        [ set grain-here max-grain-here ]/ Y5 I0 \# a9 l
      diffuse grain-here 0.5 ]
5 T/ K6 q. k" a9 ^7 D; G" G  repeat 10) x8 B) Y  c8 o3 H
    [ diffuse grain-here 0.5]         
6 `* P! \# w) v' K6 J  ask patches  g5 [8 P* p- D( v, y& R% F
    [ set grain-here floor grain-here    / J/ @/ H# p" }
      set max-grain-here grain-here      
, W( Q+ d( G# }% f* a      recolor-patch ]
7 Y( G+ W/ a% q' |" Z  }end
5 T2 C4 c, t, w2 u! Sto recolor-patch  , |" |' D! Z$ P( _
  set pcolor scale-color sky grain-here 0 max-grain
' E3 t$ }* ^0 u" b6 ?: I' O$ aend# `+ i/ H0 J/ i, l; a( j# l1 k, ^* X$ ]
to setup-turtles$ P% b+ D6 r7 d- ?
  set-default-shape turtles "person"/ l6 ~1 F! u# Z7 r+ ?
  crt num-people
; K4 x) {  j; q$ O% U    [ move-to one-of patches  2 Z% @) Y6 e' v9 Z, Z
      set size 1.5  
& M# C8 j2 H) C7 G      set-initial-turtle-vars-age
, y' V. J; ]6 M; m      set-initial-turtle-vars-wealth
' L  k. ?. `3 N; ]9 ~! I& I; I      set age random life-expectancy ]
8 S/ l& h2 ~6 j2 n9 q; ?* B. C  recolor-turtles0 K2 D2 Q* f: g, ^/ [0 y
end3 l# x8 t6 D7 F- C5 x- b5 i3 j

6 p: D3 Z8 d2 [" W! [6 pto set-initial-turtle-vars-age8 V; m) j* n+ y2 I1 K" {
let max-wealth max [wealth] of turtles
" x1 x' k, j' E   
: p# E2 V& E* }2 p* W3 h3 I     ifelse (wealth <= max-wealth / 3)- t$ z7 I6 o9 }: v. R
        [ set color red
$ ~% t( U, i1 c: @& X/ m; B2 G          set age 0
# z. z+ R+ p9 [# F. p          face one-of neighbors4
$ e/ d$ f$ N/ b4 B, E% H          set life-expectancy life-expectancy-min +7 X0 E7 Q' A$ o/ u1 {/ x
                        random life-expectancy-max
4 l" M1 }! B" b  ~: D% a( w, v          set metabolism random 1 + metabolism-low
" p2 M; d7 G+ x+ N8 C$ @          set wealth metabolism + random 30
, a8 @8 ^  O- N          set vision 1 + random max-vision
2 h' y7 l7 X/ I, n; Z. q             set wealth  wealth +  Wealth-inherited-low ]
( w. Q5 m- [  N1 @: \% ~% j/ n        [ ifelse (wealth <= (max-wealth * 2 / 3))3 ~2 F( ]6 C. l! Z) S( Y+ B
            [ set color yellow ( E1 g2 u7 h  w
              set age 0. x2 F5 L" w* E7 H
              face one-of neighbors4 ) I1 V  J* P( s2 |% P6 ^% p" S
              set life-expectancy life-expectancy-min +" S% A+ z3 |' E% `. O4 h, N
                        random life-expectancy-max + 1- ^% n5 a* y2 j% R& W! H7 G) i
              set metabolism  1 + random metabolism-mid6 w4 n2 e$ T4 @6 C/ M
              set wealth metabolism + random 30
* J: H. \2 V9 t              set vision 3 + random max-vision
5 [/ J, f# q7 q& B0 v9 Y                set wealth  wealth + Wealth-inherited-mid]4 j" N1 r- W0 U( P
            [ set color green 2 A5 \- y8 k; z9 a/ U) q- Y$ E* a
              set age 0
+ [% P, m/ g6 V; ?  P1 v! y              face one-of neighbors4 1 w. H% z1 V! _
              set life-expectancy life-expectancy-min +* J1 e  }: D4 |% i+ z' m- g$ M; |
                        random life-expectancy-max  + 20 W) |$ ^8 q8 |. w
              set metabolism 2 + random metabolism-up9 w/ _' I, o& h/ M
              set wealth metabolism + random 30
' @8 z) _( x0 r* O) G7 l# |- m              set vision 3 + random max-vision
" c4 y1 I. ]: @- O              set wealth  wealth + Wealth-inherited-up ] ]
6 Z5 e4 A! x; b* F+ B " {8 S- M7 ^# @
end/ A9 ]9 f/ `/ l; I0 f, c
to set-initial-turtle-vars-wealth
& G" K. b4 x5 ?8 ~$ V2 ^) p  M let max-wealth max [wealth] of turtles
7 W- |% I; k9 [/ S$ Y% I          set age 0" Z5 H& }( Q0 |5 t5 G: z  r
          face one-of neighbors4
4 U4 k* P% z% u; o) i  a          set life-expectancy life-expectancy-min +
+ ?# A' _$ M' Y) m- R$ M* I                        random life-expectancy-max 6 B4 i/ x& r1 m/ {$ D
          set metabolism 1 + random metabolism-up
! I1 G; A' m  s: k1 ^; D          set wealth metabolism + random 30
% Q) |* t" e, F: i/ g1 W          set vision 1 + random max-vision
4 X0 X0 Z. D* r' t4 a3 Zend0 |+ z1 c1 D" T1 s+ }
to redistribution9 L6 U7 |; M: P# o3 ^8 ^
let max-wealth max [wealth] of turtles
3 z1 O$ o6 j) c7 _) {) U0 Wlet min-wealth min [wealth] of turtles
0 u9 U/ W: Z; a* M5 r6 Q/ Qif (wealth <= max-wealth / 3)
, V5 l; i, r3 E' k [set wealth  wealth + Low-income-protection ]
6 n* w, O! P+ eend! H$ K2 s7 T. b2 G! v8 E3 P
          ) J2 Y) S# {/ P' h9 f9 w% T
to recolor-turtles1 e; S$ u7 h/ e! a+ D6 i9 z
  let max-wealth max [wealth] of turtles# S; {3 A+ j1 T. y$ ]( R
  ask turtles4 \# K5 N0 d( M" v3 e# y
   [ ifelse (wealth <= max-wealth / 3)
5 c+ l1 W4 B* t+ w3 ~# X        [ set color red ]
, h. a: ^3 T) j        [ ifelse (wealth <= (max-wealth * 2 / 3))
( r/ U9 k. n7 F            [ set color yellow ]0 Q# |% Q  w  M1 A. ~
            [ set color green ] ] ]7 U0 y# t8 ^9 b$ o* ]2 ^
ask turtles [ifelse show-wealth?1 ?/ I. u( G8 U, N3 V
    [ set label wealth ]
  h8 @( ^9 `* Y! |, c    [ set label "" ]]: D% O  D0 w, L4 Y2 w; _& u
end
2 O$ L; ^6 g  ]8 s6 W
/ K/ B: S2 ~' p/ i# yto go
+ S  ]9 }2 @+ P" ~, z  ask turtles
7 Z( _) W; e) }7 n1 U' W0 `4 s% d4 K: Q    [ turn-towards-grain ]  0 A# h- P4 D; |5 V! l3 V
  harvest
" q: p& p4 o/ _  ask turtles7 S$ E$ Z1 D# {: x) J$ X7 N
    [ move-eat-age-die ]
' Q9 t7 X7 ^+ F$ a9 V9 g  recolor-turtles6 Y, U1 f& N1 y; O- G
  if ticks mod grain-growth-interval = 0
* u  o* h" w( \' Y5 {' ]    [ ask patches [ grow-grain ] ]
7 m& `# n5 p% ~   " W7 K1 z4 g. A" k3 b5 `9 v
  if ticks mod 11 = 0
% K3 i2 H3 w! o: t* a: l! T" g  [ask turtles
7 I1 r5 n, @& T& y. ~" j6 O  [ redistribution ]]. `( K( ^/ T9 N3 d
  if ticks mod 5 = 0  o6 U) T4 _, ^* u7 e
   [ask turtles% W  ?% Q/ f* K% P7 q
  [ visions ]]
) s) P0 A- A7 F  u+ K0 V  tick2 D! F" m9 }8 b/ ^5 t, _! g& |
  update-plots
# x5 a9 m! a2 y; `, i6 R# x9 {/ [" [end
6 V' t2 a3 n8 i8 i9 u9 m9 W( i. Oto visions% @$ S! v8 s3 o" p% [! N( g4 Z: v
set vision vision + 1
  b6 L% P# Z# h/ Z, o, x! P; {; Aend
0 K* y7 _2 ]1 K" j* Q. ?' g+ f) }, @8 i& x6 z# \
) X' F+ A+ _4 a. o
8 y3 n) ^( H7 A1 X) g6 \2 L
to turn-towards-grain  
! m9 p1 G& q' K4 {3 i6 \3 f  J  set heading 04 A* i, h4 d$ b2 Z' G
  let best-direction 0
- e# ^3 x  u, ~2 i* Q" W+ H! a+ ?& V  let best-amount grain-ahead4 w( J6 Y9 c$ j7 k5 @6 K
  set heading 908 @8 M( q+ c; K: y' }8 J0 N( F
  if (grain-ahead > best-amount)+ b" w9 {$ l5 J* q
    [ set best-direction 902 J% T5 b" `" V- }3 A9 j
      set best-amount grain-ahead ]4 t% z# [3 ]1 g
  set heading 180
. K$ A: q/ a+ @& g# ~2 @  if (grain-ahead > best-amount)9 m2 l8 Y6 g0 k/ r% {
    [ set best-direction 180
2 _* X9 n6 Q5 X4 A# X" a      set best-amount grain-ahead ]
: A* H+ l& b% T0 R/ y  set heading 270- d* l% i( [5 A; Q  f% F
  if (grain-ahead > best-amount)
5 T4 b: B9 B, L5 {    [ set best-direction 270
2 T* S& E: b/ f. |* N      set best-amount grain-ahead ]3 l) I  o8 r/ Q1 q
  set heading best-direction7 ~0 V/ c8 F( @1 {; v! L
end
* t. j" V6 w% y2 o: @, L
. E9 a1 F4 O/ F& N% W
0 B0 |- ?) t7 j. ^$ _7 r: ato-report grain-ahead  
4 Z! Q, [" \+ ^* C$ p$ W  let total 0
8 e$ Z3 ^( R" W% w( v: m  let how-far 1
. i  u5 Y! i6 m1 O' ]" K  repeat vision
# e$ C. K1 z$ V5 e5 D" B4 x- m5 b2 V3 p    [ set total total + [grain-here] of patch-ahead how-far- y3 N* m" Z; g. Z, w$ F$ s' s/ t
      set how-far how-far + 1 ]
# q, |" C* \" }* y: l3 L4 L! Q  report total5 u1 Z' q0 [! b% J
end
) q0 m. E* z0 b4 w& e  C9 K* R: J  n8 O4 O* C* g3 A
to grow-grain
+ _/ d/ v6 ~& h1 N" O0 d  if (grain-here < max-grain-here)
) ?& P% ^! n6 {# u- U( s    [ set grain-here grain-here + num-grain-grown
6 B; q* A" p! n. P" R/ b; P      if (grain-here > max-grain-here)
6 v0 E4 s+ }) w2 c* s/ u! [: @        [ set grain-here max-grain-here ]: N) h; C9 U5 J/ m! y$ m+ S: K
      recolor-patch ]* @9 Z- R- G, {/ _5 x9 a
end% \/ k) @9 X6 \' z; K) ]
to harvest% U) f. O, x( D- O4 I
  ask turtles6 Q! @1 z) D: X' B7 p
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]9 I. j8 N8 a# E8 L0 U
  ask turtles
- E9 O( [% J: W# ?+ d8 I% m    [ set grain-here 0
+ W9 a5 E  D6 D1 ]      recolor-patch ]7 @1 S" @4 A+ P7 R+ L
  
. n, h, K" a$ ~! [# `. Eend+ T9 u4 D3 W7 u  n4 d2 y
$ U7 C1 d  y% f* y' g9 Y8 z
to move-eat-age-die  # C' T2 P9 m9 T' ^
  fd 1
3 u' L" E* `) J  set wealth (wealth - metabolism)
9 I& R1 ~7 ~+ N    set age (age + 1)" |) F; X; ?' U8 F! ^. @" x
  if (age >= life-expectancy)
; g+ T0 o1 b! A3 \    [ set-initial-turtle-vars-age ]9 |  D; A4 a5 }1 L0 T4 K+ D
  if (wealth < 0)7 Y+ r4 o2 ~/ Y- u
    [ set-initial-turtle-vars-wealth ]
5 {; }0 N6 p$ i9 V" Z$ Q    , S. F0 i$ ?% e% z; G% h
end5 x3 w7 M* \* K1 ?6 N1 P

# K6 Q6 d6 z! z/ j$ w4 r- F5 ^$ V5 ]& m+ ^
to setup-plots. A! ^" l) m8 L1 a4 a4 k0 x8 g% u
  set-current-plot "Class Plot"1 v- \( S5 z6 T0 e. s- O9 O
  set-plot-y-range 0 num-people' f% l) h1 F0 k2 j8 {" J" g
  set-current-plot "Class Histogram"0 m* u6 D. X2 E  I  t$ {
  set-plot-y-range 0 num-people' J, r# \0 p" j. B, a
end
: R2 a3 s; t6 r5 \- y
, a% Q) w* k! O; k& l6 L6 ?6 |to update-plots6 Q: F+ `8 `% `, f7 J
  update-class-plot9 p# f' g2 D+ K$ }, J3 T
  update-class-histogram
0 \- N3 _9 b5 n  update-lorenz-and-gini-plots
7 l; Z0 W% {3 Lend
. g6 L/ w' T1 C
' H) W" t% \. G5 t2 z7 z: u& xto update-class-plot
  l) v" L2 T1 x6 k& _  set-current-plot "Class Plot"
' g6 n* Q8 z. v* ?, S7 I, }$ t, }  set-current-plot-pen "low"
% a' [" H/ p" B: X  plot count turtles with [color = red]. b& U: h0 f- f! d' u
  set-current-plot-pen "mid"
; E4 I5 }# A% ?/ M, ?6 B- Z% q  plot count turtles with [color = yellow]5 \' @* F8 x9 Y. R
  set-current-plot-pen "up"& t5 V/ K% ~; X" H# S6 Z
  plot count turtles with [color = green]3 a$ ^8 B' L+ ~( E$ z: a
end# X3 _* T% K/ q* K1 i" H3 z4 O
/ p! V* r+ e2 o" C, x
to update-class-histogram0 d% L. N0 W! |9 K0 C! B9 b7 X
  set-current-plot "Class Histogram"
4 P2 T# p7 j. a9 K  plot-pen-reset
  }" O* C) N5 b2 r9 v  set-plot-pen-color red" M8 }" l: o2 ?6 |( U5 n
  plot count turtles with [color = red]
2 k/ G" [* }% w: p; s3 Z" ?  set-plot-pen-color yellow
2 }3 j7 A1 i  x3 T6 {  plot count turtles with [color = yellow]
( X& v5 X8 T( J1 x1 v( j" G  set-plot-pen-color green4 }' s, ^; Y+ ^4 i
  plot count turtles with [color = green]
( R$ n% y, A$ U3 M) W9 Y  }$ Zend
3 h3 P5 [. |6 U& dto update-lorenz-and-gini-plots
: d& [5 h; I* j* X$ J  set-current-plot "Lorenz Curve"
; a9 R! ^  ^/ \: C0 {  clear-plot2 @5 x& Z; B, b/ @

0 A( M5 ?4 r2 }: f( I  set-current-plot-pen "equal"
* Y7 p1 Q& _% M5 i2 R% \" ]  plot 0  o8 m/ _6 ]& J: g) u* o3 K9 R; s
  plot 1009 L0 V  r. S! ]

4 G% }3 R  W* v1 F  set-current-plot-pen "lorenz"$ F' y% G5 s: ^' W' ]6 w/ }
  set-plot-pen-interval 100 / num-people
& ?5 ?& p6 }7 _# h# f  Z8 X. r7 t, ^" q  plot 0
" Y+ u1 D% a9 l$ m. \& U
$ w6 Z  i& B* s& q  let sorted-wealths sort [wealth] of turtles/ I. Y9 V: t+ B7 R) U: M6 w
  let total-wealth sum sorted-wealths2 b: B% Z5 z# o) y2 P
  let wealth-sum-so-far 0
: Y! I, U5 e: h: S  let index 0
  V9 Q; P+ N1 ^$ W& m' e9 C( k  let gini-index-reserve 08 l2 w2 `: {( h/ t8 Z
1 j0 y* h$ V  Q3 E3 q
  repeat num-people [, P  n$ X9 `/ G9 m; y8 \9 J
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
! }' M7 {( _2 v: R7 Z8 {    plot (wealth-sum-so-far / total-wealth) * 100' ~5 Q: i* `. q0 x( p
    set index (index + 1)6 |# G' x7 ^) ~# Z/ M
    set gini-index-reserve$ w# z! u" v$ c, G
      gini-index-reserve +
$ F' j0 z: _5 ?* O, W5 ^! {      (index / num-people) -7 a; s5 Y" X* [5 c2 E5 T
      (wealth-sum-so-far / total-wealth)) `. S0 \1 J& ~8 [3 @
  ]8 F- Z5 z7 m5 M- P" c- J2 q7 @; L
$ T7 s, D' @2 l# T( j
  set-current-plot "Gini-Index v. Time"
0 t1 W# a( H/ e, ]& B' k  plot (gini-index-reserve / num-people) / area-of-equality-triangle
& I2 T( r' i) J* [end
* a9 e7 F$ Q- B5 K. Fto-report area-of-equality-triangle+ z9 C( k: P: U; g0 N2 u4 V" N: a
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)( |0 p# b( {0 @4 r) d
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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