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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
0 i, X9 @* i+ I. G7 Y- wglobals2 v( ~( G1 j. _% {' {* `
[8 y6 `% D; e+ c7 \- N7 q8 ?  B
  max-grain    ! V3 i( u+ d; H8 A- v( G9 j( a
+ J, X5 I; B: X$ ]
]
* U0 }2 J; o% `' }5 B7 Y( v" Y  C
# F" s2 c+ ?% k9 h2 c: Opatches-own- `) x% v* K. H3 Z
[
/ K' h7 V) @; r4 ^* v+ g  grain-here      8 G( x) d; y% ]5 X% |
  max-grain-here  
7 x- R6 W! w( W& \]
( x1 k/ b, G! _6 ?5 G0 Z  S- }" X% `0 A1 D2 L) m* D
turtles-own
& C$ s2 \% l$ z# ^7 v; V) c  M& M+ s[& `( E7 y* h! m+ V2 G# @- _
  age              
5 h7 y( s% K  n% E. H' A  wealth         5 i" F" H1 \9 `# g
  life-expectancy  
3 L. U; T; ]! C+ c  metabolism       0 C7 N, [4 z3 h3 ^' h5 C8 E
  vision; d/ h4 X2 R! w( I2 C2 T
  inherited         
* ?% S2 v: S5 W% E]
+ V% U: e8 G+ L3 z: k& ]1 G* {+ V  p; j. S% q( N- k

+ E! T# W7 j# t% [. }- nto setup
' Z4 T  F( k( `6 S9 P. C0 `  ca
5 o0 K0 q, O  N  set max-grain 502 P- T$ N& s: x" q4 H/ H
  setup-patches
  {/ w, P# L( \2 `  setup-turtles% i( u0 d% F3 y% R
  setup-plots
$ J4 |( t1 j4 `  update-plots0 ]" R# o/ Q2 e& J* J) A; H" Q
end
3 W4 E; y+ B" |$ |to setup-patches3 k# ]8 M% ?6 L5 Z; G! M
  ask patches9 w) @) }9 k( h9 J/ g
    [ set max-grain-here 0! {) q8 G" g& K' v4 z
      if (random-float 100.0) <= percent-best-land
8 A0 p9 A- ?& ^5 K( C. P        [ set max-grain-here max-grain
4 b( Z5 g* R9 q          set grain-here max-grain-here ] ]
2 a% ^. D2 G5 O- Q+ u  repeat 5
& ?- H. G& I7 l# @; t: G    [ ask patches with [max-grain-here != 0]
4 X: U9 a" I/ Z6 f! q; H/ N        [ set grain-here max-grain-here ]
& {- ]7 O. r( f% z      diffuse grain-here 0.5 ]
- `3 B, o& R/ m5 Z/ K1 D; f% o  repeat 10
4 d  `& p* D9 V1 |; H! w    [ diffuse grain-here 0.5]         
. C% d0 B" X* j- |# {- G0 t/ S9 ~6 U  ask patches
& A) o9 X4 V/ u4 Q2 s    [ set grain-here floor grain-here   
, u' t7 y, l/ M2 b1 f$ m      set max-grain-here grain-here      
$ h& ^5 w4 s3 D0 q& C) R      recolor-patch ]2 \2 m+ M9 J- j( z: |' }- }
end
% q9 i* q5 H# ^8 J' r; Pto recolor-patch  
' h) t& k! V  N  set pcolor scale-color sky grain-here 0 max-grain
% t4 O. _' U2 ]9 {+ Q7 g: Q+ oend" Q4 e6 @: j0 I
to setup-turtles  I. \( F) i  Z* M- [
  set-default-shape turtles "person"# u1 D* b5 a1 d, z8 G9 `* r
  crt num-people
* }6 k; j, K* Q# s& A! A7 s2 J$ j    [ move-to one-of patches  3 N  \: J9 N9 k& V3 g5 ^
      set size 1.5  ) s  ~! ^/ v$ u! |  i6 M
      set-initial-turtle-vars-age- v  ~; Q5 u8 _( n* Z3 \
      set-initial-turtle-vars-wealth& `+ o" \" R8 o1 ?$ H; p! {
      set age random life-expectancy ]% n  z) D3 w& V
  recolor-turtles# H) K* H- @  H, l' Y
end
0 X: p6 T. j4 A' c( ^, _- R
7 u& _- W4 ~1 ato set-initial-turtle-vars-age1 P% D% R  n, J# o2 v) d* b7 A
let max-wealth max [wealth] of turtles! y3 W+ Q: o" ]% k
   
- e" R6 N& E4 d+ P     ifelse (wealth <= max-wealth / 3)
" i, x$ D; f- @4 U        [ set color red
9 Y+ \( `. [0 G7 I1 ]3 ]" t! B          set age 0- R5 q- u+ l3 w) a, g1 F
          face one-of neighbors4 # O$ \$ r3 X- f5 s. T
          set life-expectancy life-expectancy-min +8 C" w' W5 X1 T$ p
                        random life-expectancy-max
9 N8 b$ A* o" P4 O          set metabolism random 1 + metabolism-low! `: `$ H4 l7 W. ?0 p4 A
          set wealth metabolism + random 304 Q9 Y  Y/ }, ~
          set vision 1 + random max-vision
  i; x4 ?6 W8 b+ z9 p             set wealth  wealth +  Wealth-inherited-low ]
$ y9 l9 s4 N7 }* U        [ ifelse (wealth <= (max-wealth * 2 / 3))' o) D. k* A# c3 X+ J4 Q
            [ set color yellow
+ P. V4 r! h+ v* U3 F0 U              set age 0# E2 w" o7 ?. I1 ^' _. p2 d
              face one-of neighbors4
% l6 k: D4 k* h2 V' K' K              set life-expectancy life-expectancy-min +& F: Z8 d& e* H( Q$ V2 C  h9 q/ {
                        random life-expectancy-max + 1
; J0 |# d( n) o0 F" i3 @3 }4 [9 c              set metabolism  1 + random metabolism-mid) p* z6 C+ J! x/ s# m8 b5 \
              set wealth metabolism + random 30: p3 I2 G2 z" ?2 A9 ?' b
              set vision 3 + random max-vision! i9 d9 Q/ p/ M9 ]& K0 z/ s+ Y6 E
                set wealth  wealth + Wealth-inherited-mid]
1 g# X. X" s. D, A0 h" E8 `( o3 I            [ set color green 1 o3 u- X- G8 U+ N( G& W
              set age 0
! Q% E; G- w6 a% @0 b7 _; O5 A              face one-of neighbors4
8 n, a5 Z+ Z9 i" [3 r              set life-expectancy life-expectancy-min +5 _6 S6 O; p+ x" N8 ]
                        random life-expectancy-max  + 28 V1 O$ z" d" @* _
              set metabolism 2 + random metabolism-up$ O: }/ L  p- q! g* C: v
              set wealth metabolism + random 305 b: g& M* d  h  e. J
              set vision 3 + random max-vision
, @6 n- T" |1 u9 I) p              set wealth  wealth + Wealth-inherited-up ] ]
4 n! M0 \( [) V4 N5 c* T3 J
% `8 ]3 a& l1 H; S; x5 {end
1 Y& D* ?$ g1 n+ Xto set-initial-turtle-vars-wealth: n% ?8 G& G1 W6 T1 ~# _
let max-wealth max [wealth] of turtles1 q8 C; p5 D! ^+ v  u
          set age 09 {3 |( P+ {' P6 Q
          face one-of neighbors4
/ c8 L: X3 X2 l1 n( b) j8 T, w          set life-expectancy life-expectancy-min +
  X! \( W3 \9 U; x                        random life-expectancy-max ( E. p3 N9 `! h
          set metabolism 1 + random metabolism-up, N7 E5 F0 W- y4 ~' v
          set wealth metabolism + random 30
4 V! c0 x2 o0 ?/ {8 I          set vision 1 + random max-vision
' K2 M9 @( n; G# uend
7 ]. Y6 _9 }: T* X( G5 @to redistribution
% s/ {% ]; @  S0 Y: t: dlet max-wealth max [wealth] of turtles
: s  o3 j1 D' ilet min-wealth min [wealth] of turtles8 R' X& y) R( N* j: e9 t
if (wealth <= max-wealth / 3): f/ k' J7 G: h  E; r6 R
[set wealth  wealth + Low-income-protection ]
* I: @& b5 b9 ~2 C( F4 lend5 B% ~# S$ }# M/ L) B7 k/ E" q: I9 D
          6 Z0 Z0 j1 \  [+ i1 R; C
to recolor-turtles
" A4 t7 [. _3 u0 P+ V  let max-wealth max [wealth] of turtles
( p! R, V. a. {& s& `& k7 x  ask turtles
; A% K8 X  ]2 r( _   [ ifelse (wealth <= max-wealth / 3), M2 Y5 ]7 m. g8 |
        [ set color red ]
1 _, J  N# c8 |; J" J5 m        [ ifelse (wealth <= (max-wealth * 2 / 3))+ c3 ^4 l, }, d; Y1 M' u
            [ set color yellow ]
/ _( B' t* P" ]5 p7 F) Q% t            [ set color green ] ] ]
9 y! ^& z+ T9 n3 M" X ask turtles [ifelse show-wealth?9 x; J5 }$ a% q. b4 i
    [ set label wealth ]) ?) V, L3 R. i0 C* V! z% N  P+ d
    [ set label "" ]]4 ?: v% N9 u* r2 L
end+ S7 |0 F. {; S/ H: I

3 a) N2 |$ M1 c4 {' r# ato go* x% I/ J1 F  J0 F
  ask turtles* y+ o, N. T0 U) j7 S8 A9 ]
    [ turn-towards-grain ]  
9 g$ X, k. e; j# ]8 V  harvest7 \% C7 z1 ~. P" _7 O$ @2 s; u
  ask turtles8 h( W+ G" c6 I! `0 {' S
    [ move-eat-age-die ]& t& ~  m# ^: L0 L' w
  recolor-turtles
; l- ~4 g2 y5 J' L# c  if ticks mod grain-growth-interval = 0
: Q6 m% @! n( k9 K! k' [, \+ d    [ ask patches [ grow-grain ] ]
! i+ _; ^) n1 p! e3 P& J7 q   
0 a& x/ a. S0 x% V( N' S5 V  F  if ticks mod 11 = 0" e. E/ n$ y- Z( Q
  [ask turtles
& p/ s& p5 K% P  [ redistribution ]]
+ y9 v! E8 r; D1 ?  if ticks mod 5 = 0, d* ^6 l8 ?# w1 a
   [ask turtles
) n: C& U1 U. d. i! `  [ visions ]]2 v; D& n5 i) `, Z
  tick
! G/ b2 x  D+ M( B( W- R- D  update-plots
0 _) D  A5 p# p$ q* W) w6 x3 z; ]end
, Q, v3 R/ W; ?. b8 kto visions
3 Q( }) c3 r: S set vision vision + 1 : m7 F& E! ~2 e; a2 `' U
end3 s6 f4 _' u4 C; {- g) _2 k
' R' r# l' S# Q2 _% S, r' I' K

" D) a, h" O' H2 n$ I* I) {% m3 ]( R! R& ]5 Y; c) z, a8 B. i& D2 j
to turn-towards-grain  ( F( ~, G7 ~, ~6 H$ ~
  set heading 0
& _# [& Q9 i  ^3 j  let best-direction 07 a& q2 ]" g0 y! n& l
  let best-amount grain-ahead0 ^. P$ L1 |5 K* O
  set heading 900 N# M8 T  ]& y& L2 l. \
  if (grain-ahead > best-amount)" W+ a- `. v7 _. i6 q- k& R
    [ set best-direction 902 t/ h: J9 F3 M1 H1 m: B
      set best-amount grain-ahead ]
$ O* u* Y3 Z0 f/ y/ ?' T7 A& n  set heading 180
$ E+ ]! w5 V% L* w  if (grain-ahead > best-amount)9 ~6 G. A% T4 M5 L& J2 [2 g& D
    [ set best-direction 180+ i/ ]# u9 \: }. Y% V  |1 J
      set best-amount grain-ahead ]( R3 a% Z1 r+ C* a
  set heading 2702 H1 g) D, u: {4 g  a: i
  if (grain-ahead > best-amount)7 \& i1 L9 e/ b& o; x. y7 c
    [ set best-direction 270& I# K; t$ ?  ^9 g( D* `( x! D
      set best-amount grain-ahead ]
3 E* S, Q9 D) R/ n& R+ @7 U  set heading best-direction# Q+ z4 h( G$ |! {' f
end9 {6 C6 z3 ~6 Z; C( w" [

+ C3 @, G$ i' X  F+ t4 m( {+ I" R8 S( X4 D- }8 y# t) u
to-report grain-ahead  
; y: l6 ~5 t- r& j  let total 0' _- c& p5 L& F" Y) H( W: [5 l
  let how-far 1
2 h" l1 S. Z6 @3 `# E  repeat vision
# T- _, ]6 ^  N# m$ `! W    [ set total total + [grain-here] of patch-ahead how-far
7 d& \4 y; o/ m* `' [9 l      set how-far how-far + 1 ]( K+ M( u) [) i, m8 v: t! U
  report total; }7 v6 l: ^* U0 T/ H
end
& i! x1 M/ K4 u! i3 n
& l' ^# Z4 s1 `' C- R7 V2 A  `  B, jto grow-grain
0 j- r' J& D3 R, l' q  if (grain-here < max-grain-here)
" }# M# `: V! t1 C' U5 i, |, P0 S    [ set grain-here grain-here + num-grain-grown, U2 k/ D* ?, I' A5 ~/ O; Y) X
      if (grain-here > max-grain-here)
' T2 L# l5 v/ n2 W8 F. A        [ set grain-here max-grain-here ]* }. e* Q% @' A6 {: ~7 \- b
      recolor-patch ]  \6 D5 M0 |$ Q& p6 d
end
6 T, E& {, r" N5 N, Pto harvest
- M# i( _7 l  K6 J, _0 S: j( O$ z3 \  ask turtles
( I$ U; D& b* u    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]. n9 t5 J" `/ i( T
  ask turtles
, E9 x9 r* x# L5 o    [ set grain-here 0
% w( d$ I7 e$ N: b      recolor-patch ]
2 [8 j* b  W7 J  X' c  x, _) R+ _  
0 b& {$ h) H6 e: H! N+ nend6 L! {; p/ L  B1 k
( G9 O1 s1 i$ Y7 U
to move-eat-age-die  
, B2 {0 Z2 U/ s  c( @  fd 1
4 G; y! d, D  u( c: g/ u  set wealth (wealth - metabolism)
* M$ u0 {, M# O- z    set age (age + 1)5 R( }& x" o: N* O% {+ W
  if (age >= life-expectancy)
4 Q/ M9 R) B4 ?3 ?3 k1 S* A8 p    [ set-initial-turtle-vars-age ]
2 w7 v/ K. f: [; M1 q6 N  if (wealth < 0)1 t6 E: m* n5 i3 P% m3 ^
    [ set-initial-turtle-vars-wealth ]0 r  w2 V1 e  \) n4 y! a
    : a+ a3 M1 y: H7 l' g
end. y5 d4 R; A, y9 d0 r$ y

  A  X1 S7 C: o4 M$ a, ?7 ?9 a. ?1 r$ W2 b8 o1 D6 M6 i+ w. g+ U
to setup-plots
- x: @2 J  |4 z+ v  set-current-plot "Class Plot"
0 k7 p5 R5 m/ g8 f  H' l  set-plot-y-range 0 num-people
' _# E) T8 Y$ X0 E, L0 J  set-current-plot "Class Histogram"8 }% }* V, f5 b' N
  set-plot-y-range 0 num-people: R* G/ ~  p+ V* F* d% A
end2 L( y& v1 w4 l- ^6 f- Q; C+ ]

# |2 P# n$ c% {/ cto update-plots6 {* S) H9 }, {# f
  update-class-plot- z6 N" l( X( C  D7 w
  update-class-histogram% _" v, s0 a% q
  update-lorenz-and-gini-plots
1 f3 E6 R" y  n5 Pend
: d8 n; Y& y: h3 Y6 z4 j; o% ?
. [% t+ T* ?+ L- ]( h6 u! l  {1 @to update-class-plot8 D: S/ s6 |% g6 h0 J
  set-current-plot "Class Plot"1 o# M8 B% A/ A: X5 m
  set-current-plot-pen "low"- a" l1 W" t7 h$ d; }0 @
  plot count turtles with [color = red]; D; k: C7 C6 O' m0 f
  set-current-plot-pen "mid"' Y) a$ [  ~1 I2 \
  plot count turtles with [color = yellow]
( _; R$ ?, ~1 \4 T- }0 Q, ~5 E  set-current-plot-pen "up"7 d/ ~9 t# X+ l; [9 u, d- m& l
  plot count turtles with [color = green]
1 T9 z+ ?  F* gend: ]# }) ~# ]! p! }) y! U4 d: x/ w

# T, l& t, p0 Y% g  i, eto update-class-histogram# j) j- ?9 v" O8 i# X: u
  set-current-plot "Class Histogram"
5 {. ^: L# J8 H/ r  plot-pen-reset6 z1 q- ^% b3 M- U( O
  set-plot-pen-color red% J: v0 k! b- J
  plot count turtles with [color = red]2 _  q) o5 k! |* Z) d. w! Y9 M
  set-plot-pen-color yellow; |8 {- |4 E: V, ^) I
  plot count turtles with [color = yellow]& `5 Y' o7 g8 H7 m- b1 |( ^. D
  set-plot-pen-color green% i, F7 F; z, {7 W1 O3 W* p
  plot count turtles with [color = green]' U" y, [6 o" U! Z' e$ b
end; a8 Z  b: |+ T+ s
to update-lorenz-and-gini-plots0 \) _$ A: H( G+ e/ J
  set-current-plot "Lorenz Curve"
! a/ [, `- ^2 g6 {* K5 M  clear-plot# c; [4 x/ b  k" ?4 Q% o
8 M# l! d9 x. d  c9 |3 F% `3 T
  set-current-plot-pen "equal"
  a' {( Q$ m, Y9 q  plot 0
# Y. H3 a4 f! N. u% u) g' K  plot 100/ |2 _2 I7 X# a6 u( B. v/ H2 k
# p" _+ n* f4 ~+ Q- `2 I
  set-current-plot-pen "lorenz"
+ X6 E, L, @2 Y* g2 }6 {  set-plot-pen-interval 100 / num-people6 k. G( O% v. t! v) T1 M& M4 w% z/ _/ ^
  plot 00 R' h4 P( l: H& W: N" ^! {. {
! A) [8 ^; }# X* Y' M# A6 }1 W( Y
  let sorted-wealths sort [wealth] of turtles
" L5 Q# }' q! T& p& d3 ~  let total-wealth sum sorted-wealths
* t6 Y- @3 y' _  let wealth-sum-so-far 0
: i3 }. ^5 F! i3 A  let index 0% v6 [/ u+ W) J/ q! a
  let gini-index-reserve 0
3 G2 I/ {8 y* \" |4 k
0 `7 |9 L  L: l; X& b" g2 P  repeat num-people [  I" H, y* s$ \6 D$ B0 p: q
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
5 ~4 @4 m1 K5 w( ^    plot (wealth-sum-so-far / total-wealth) * 100
+ \7 N) G. n, u9 \. s    set index (index + 1)0 I+ m3 w0 q) F( _
    set gini-index-reserve: r5 |- j, o6 B3 }9 I$ Y7 v# }! ?
      gini-index-reserve +* T! C# n6 m  h/ @8 ^) H( ?; ?
      (index / num-people) -
* P9 T  f  ^0 E' [+ c      (wealth-sum-so-far / total-wealth)
" `) l; ]% [. e* i* F  p  ]
% s/ Y; h1 t0 F8 x7 H* u( z# v" p: `1 I
  set-current-plot "Gini-Index v. Time"' l/ m: J5 X, Z8 H2 [6 y: m+ L
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
# C% A5 ?( ]7 F7 T. l5 H& `* Send: a6 B& u- ]7 ~9 U0 Z; v9 Y5 @8 `
to-report area-of-equality-triangle
9 F# j4 L+ Z- V2 N1 f6 X  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)3 G5 N9 |2 P6 a' Y' u- R) G
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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