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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, W( A: \/ C  I: y
globals8 `+ r& a+ |, k' g2 U* p
[
8 Q; ^1 l5 Q  |8 t1 v- C  max-grain   
' l7 O$ R$ ~5 N- |4 N3 P/ w
0 d8 e& ~0 _) {* ?* A- o! {2 i7 B]
, t! v8 t# d' u5 F
& V, L; u7 d2 ]" Y- V" S' T) @patches-own
& C5 U9 x# Z! l. _[
% |, Z5 i! ^5 P& v/ a  grain-here      ( ?8 o1 u/ S+ |6 W8 x
  max-grain-here  # S1 k& ^6 m9 n: x' `" `: S5 t
]
, h7 r) O' e" I% n1 y) F* F' t% g7 A- X$ T( _
turtles-own
. J7 u/ O2 u0 b. Z( i6 q; R[5 X/ |# Z% r$ w
  age              7 l' x  K/ j1 l
  wealth         
& Q( W2 w, b( |; y" Y' ^  life-expectancy  
3 I8 z0 ^, G. U6 C; P! V" Z0 [  metabolism      
" i, {# J. t, O/ p( T8 I4 B% Z  vision' S1 K6 |: d: q5 U' J
  inherited         
/ A( E* B; @; P1 Q- W  e]* s6 {- R2 Y$ r: x

4 d# C2 }  R3 F# C
, v! M9 s1 e* u! u3 v3 {# eto setup& f# o7 Z% o3 n" D2 p" @
  ca
, b4 {* d& m9 \  set max-grain 50( p2 m0 y0 V+ F2 F1 K
  setup-patches; z! G, Q0 G+ i7 G8 w
  setup-turtles$ a) e& ]; _3 D- F
  setup-plots& t- U7 n+ [+ ]7 n! z
  update-plots
( o3 u8 j: o6 s" m, v6 X9 S- @% ^end
% [' o3 ]& _2 e/ ?) Z1 F" [to setup-patches
4 [, i( v) s3 R) Q, v; ?& k% K. p  ask patches( t2 i4 p7 p. m- i
    [ set max-grain-here 0
' Q; U- {/ [7 T  T0 I      if (random-float 100.0) <= percent-best-land! w: C/ Q  \" T( b1 _6 F" o
        [ set max-grain-here max-grain7 P* y" @. L6 R. C
          set grain-here max-grain-here ] ]
' T+ M; Z& J# W. K! j  repeat 5! `3 A' P" C3 B8 h1 r
    [ ask patches with [max-grain-here != 0]' ]( I6 ~3 M: z% s
        [ set grain-here max-grain-here ]
% i) ^7 M4 g& H# [% a2 o      diffuse grain-here 0.5 ]
* Q! l6 j/ [, }% n$ F  repeat 10
1 ^7 e% T* A. e; q+ c6 S6 v* Y  E    [ diffuse grain-here 0.5]         
/ _* z& m5 Z/ w- h$ S0 h* Y( ?  ask patches
% H$ f6 d* G, d' p2 f    [ set grain-here floor grain-here   
0 |5 m( z' q) N1 d  E      set max-grain-here grain-here      $ d* O% h5 ?' f; T! }$ ]
      recolor-patch ]
. N4 m  v; J/ ~' N0 N$ p/ v8 }end
- E+ u  t8 ?2 J( l& {2 v2 c4 w$ r/ ito recolor-patch  
0 n* K4 m, N5 y  set pcolor scale-color sky grain-here 0 max-grain. O& S4 V) g+ W8 ]
end2 r# {$ }9 V6 d. B2 T& X
to setup-turtles
5 Z; k' h% e% k# o# w9 p  set-default-shape turtles "person"
$ T7 F6 b$ i" f0 u5 P  crt num-people* i; G  E1 O1 N9 h2 |& r3 O) K8 d
    [ move-to one-of patches  
; ?+ ]' y. Q, h* a      set size 1.5  8 x& ^# M; B7 L% {" e# s
      set-initial-turtle-vars-age
$ {$ X0 o3 Z7 D$ i      set-initial-turtle-vars-wealth4 `0 P. r4 F5 m- l% o; M6 Z- {
      set age random life-expectancy ]
: R* }8 H) H: D1 I+ M  recolor-turtles
! S% S1 d' h- C$ hend
2 j8 p8 [2 ?) A8 Q
1 [* ?* H! Z5 s# X4 C7 bto set-initial-turtle-vars-age# j/ g2 u# m! p
let max-wealth max [wealth] of turtles) A# g# R- ]( u) {
   
8 ?1 K; K1 J1 G     ifelse (wealth <= max-wealth / 3)
: U6 R! v. Y! x4 u  j        [ set color red
/ k- ^. _; a4 C9 r& R" J          set age 0
* F9 g, G( }* R) J0 r# L. R, ]  ]          face one-of neighbors4 0 F* l5 s4 y: L) i1 ^
          set life-expectancy life-expectancy-min +1 D) F5 v! q# Y
                        random life-expectancy-max
" i! `5 T% F9 F          set metabolism random 1 + metabolism-low
4 v' Y6 ~, g$ o+ O# `          set wealth metabolism + random 309 T1 t1 Y0 \  X( {+ D5 q& p
          set vision 1 + random max-vision
( _) P' z  O& E; t+ r             set wealth  wealth +  Wealth-inherited-low ]( U8 X1 n3 I& y9 {: }
        [ ifelse (wealth <= (max-wealth * 2 / 3))4 K  d7 y; J* j8 y) H
            [ set color yellow ) A% t+ X3 y6 f3 G, Z& G
              set age 02 k9 t6 J& F. `. n8 T- ?* V
              face one-of neighbors4
5 U4 J; R3 D" d% A* k0 ^              set life-expectancy life-expectancy-min +
. O, n- p3 \& V/ n                        random life-expectancy-max + 1
2 W: h8 R1 ]$ ~$ V. X7 i! e              set metabolism  1 + random metabolism-mid
9 s" N; |( e: A$ H  p* L% r              set wealth metabolism + random 30
! [" Q& x( k; j! e" I& V6 ?, z              set vision 3 + random max-vision9 Y* h; `4 g& C. R/ p" T
                set wealth  wealth + Wealth-inherited-mid]
2 q, q) ], C+ R6 N0 b            [ set color green & w1 G) H. Y3 Z5 p9 }- z
              set age 03 u. G! _9 m- }9 ~$ j$ z
              face one-of neighbors4 : P! ~, K- |* F0 U3 Q$ n
              set life-expectancy life-expectancy-min +$ J$ n! V( L" G; ?  i$ o9 R
                        random life-expectancy-max  + 2# ]0 t/ I1 ?6 J6 \5 z% s- L$ H0 F
              set metabolism 2 + random metabolism-up
9 m7 t9 {( p4 Y9 l3 N              set wealth metabolism + random 30; p$ D. h1 N  _' i  E* G
              set vision 3 + random max-vision, }  n4 D' g- w  H
              set wealth  wealth + Wealth-inherited-up ] ]
% k5 ]" y2 C" C% L; t) O : k$ j; i, T, ?; G9 c
end) |# f' _' u2 ~+ J7 ^' g- W
to set-initial-turtle-vars-wealth
( o6 @& H4 r9 c+ S! e let max-wealth max [wealth] of turtles
8 _- N' ], Y" Z/ @" J% G3 H* x          set age 0
, A; {, |# P8 Q6 m$ u: _          face one-of neighbors4
( M4 I* k$ w1 R) z          set life-expectancy life-expectancy-min +, Y7 Y# X' h& }: Q" j4 U2 T& I
                        random life-expectancy-max ( Z7 d! B! r- k5 D
          set metabolism 1 + random metabolism-up% ?* r  z7 r/ _0 `! ~3 N
          set wealth metabolism + random 30/ o1 _7 ?: D9 q, j5 ]/ j' [) l/ C
          set vision 1 + random max-vision 0 W2 r- O- i3 u  M2 J; W% w; Q
end* U' q" s0 f. a( H: L' Z
to redistribution+ X; L' J  R; q' ?+ R. }$ z
let max-wealth max [wealth] of turtles
* B! p: a- n7 \, @- p! m* Ilet min-wealth min [wealth] of turtles: U/ [5 ?2 j6 X& x* A) h, M+ @
if (wealth <= max-wealth / 3)8 x( z' y" S7 C2 l1 f
[set wealth  wealth + Low-income-protection ]
/ e- c, C; B4 C) |2 R% {0 ]. V3 Z# send9 q4 v2 U2 v' |" Y
         
0 H! g/ m8 M& m. m* {+ vto recolor-turtles
6 m* r! s1 \0 f% s# j  let max-wealth max [wealth] of turtles- b4 Q9 v+ ?$ _; T
  ask turtles0 L( X. ]* n3 l
   [ ifelse (wealth <= max-wealth / 3)
3 y: J4 z$ e. W3 Y        [ set color red ]
& F* V. W5 x4 X& O: H        [ ifelse (wealth <= (max-wealth * 2 / 3))
( r1 e7 z+ I; i. W, n. H/ g$ c            [ set color yellow ]
$ }% D- W) {; p# S" n, K            [ set color green ] ] ]
" |9 D8 O  ~. m. b8 h ask turtles [ifelse show-wealth?+ n$ e; [; }8 C
    [ set label wealth ]
! R$ H% Q+ q2 i' u, ~/ B7 H    [ set label "" ]]" z2 Q8 Y3 Y' Q; j* }
end! |! w( ~+ `5 T

  ?8 Q1 v0 ?) i0 B0 [. Cto go1 c9 X1 u+ u, {0 ?# n
  ask turtles
8 c* f) `, r# |    [ turn-towards-grain ]  
: h7 U' m# {/ E7 {6 I7 Y  harvest" v7 z+ o9 Q; M3 {  c
  ask turtles( K) Z, N, j$ t
    [ move-eat-age-die ]
6 b. p* C* D4 M9 q  recolor-turtles  m4 I4 C& ]- M. L' ]' K
  if ticks mod grain-growth-interval = 0
$ c6 }4 w% C5 x1 N    [ ask patches [ grow-grain ] ]
9 Z: |/ Y6 G* O- @! [' E* S! u   
8 I# V- d/ |6 w  if ticks mod 11 = 0! ^/ |  X4 U! o# ?
  [ask turtles! v, B# ^" Z3 g- ~4 _1 H
  [ redistribution ]]
; q6 h0 B, J5 D7 n  if ticks mod 5 = 0
& h( |; `- J: w* W$ v$ t1 Y" M- K1 F   [ask turtles
  [( M" O% w8 d5 A0 S  o+ [& g+ Q  [ visions ]]( b6 ]9 b  p2 U& {7 x8 ?
  tick
% C& Q! U. h2 h8 [0 L  update-plots9 Q, Q1 ?, Z# \2 H- s
end6 J+ r! Q6 J/ d, T
to visions
7 z* \6 y) {9 s) P- l set vision vision + 1
( G- @+ _. q& g9 a  Z8 D9 }end: `  O) a; K' `$ k7 K8 s

  Y4 c7 m9 R  ^; a, @9 G- ~: X! p! k9 u- v5 {: J* h, h
7 q. f7 A% e5 V  K, @& z  B/ @
to turn-towards-grain  3 E" g8 @6 w2 w. k6 I) v# O
  set heading 05 p5 f# Y  G) \: I+ B  V
  let best-direction 0
1 a" x& D. l. c7 X  let best-amount grain-ahead' D& ^( G4 e7 R6 d- O; Z
  set heading 90: w4 p5 A9 ?6 \' q6 b% D
  if (grain-ahead > best-amount)
9 G; ~2 J; H8 W' ~2 M6 o    [ set best-direction 90& r) m8 n: ~1 \+ w. m( G
      set best-amount grain-ahead ]
  m8 k: {5 @9 ~  R. E2 R  set heading 180
0 k, `+ u3 `$ A0 F6 S  if (grain-ahead > best-amount); d6 L4 o. o7 Q- e: r
    [ set best-direction 180
0 j5 X- L% R$ _      set best-amount grain-ahead ]+ V3 b* a8 h" [# z/ B
  set heading 270
+ Y5 ]4 b/ h( i) N7 n/ l0 `  if (grain-ahead > best-amount)
) o/ i$ r) S0 w$ j0 \    [ set best-direction 270! g0 U1 A* j$ ^9 ^$ C0 C4 h9 B
      set best-amount grain-ahead ]! z  ?" q" [- R. [
  set heading best-direction
& K. M, }  ~5 f4 `5 ?0 eend
2 W" R6 @8 T3 `2 X
0 B3 B8 p& @( e1 U! }1 ^7 l
: C6 r( w# g5 Dto-report grain-ahead  ! X: V# q% o$ f& `4 T4 t
  let total 0/ u# j8 U6 h$ R: y+ @  `
  let how-far 14 ]! b/ N7 _( _  Y3 G. |& N
  repeat vision
8 ?- X: n" J2 t3 D; W# {- Y    [ set total total + [grain-here] of patch-ahead how-far
) t3 w" z1 F1 k, N! `      set how-far how-far + 1 ]1 J$ x. H9 H0 p" i- @5 x
  report total& ]1 k6 i% R! D! {
end
$ V7 M" A  j$ H# F, o8 }9 H. z: w5 I- _: m1 t
to grow-grain - ?  f0 j$ r. T% p( S1 M# b4 ]5 M
  if (grain-here < max-grain-here)$ t4 V9 X6 i0 g% L: Z
    [ set grain-here grain-here + num-grain-grown
7 ]+ x& \1 s% z# n$ R; E      if (grain-here > max-grain-here)
9 L$ W( A. m7 R$ _* I* }/ `- H        [ set grain-here max-grain-here ]
2 }6 l/ v) v4 d% d0 _' P! G' a      recolor-patch ]
( D/ m- B  a* r; H3 R3 o$ iend4 r& z. b; t2 L
to harvest
8 `7 S& k: A) E% h( w) P& V  ask turtles& I# M, Y7 m8 J* F9 i* h  `
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]6 ]* A  p2 }; ~7 w# B- c
  ask turtles
* [4 T( ~6 W3 U$ N1 |, a+ X: @    [ set grain-here 05 J# O$ e: {1 w  B. p
      recolor-patch ]# G; k7 X* q9 u4 F6 x
  
& X9 P* L  Y' `0 g- V; fend
5 `8 I1 h( W5 N* V9 J% V
& |, T$ B4 h. l( j3 E+ P5 Z& dto move-eat-age-die  " b) n  @5 ^/ M4 R. k2 ]
  fd 15 \; T/ X' [, _  B) M- [6 t
  set wealth (wealth - metabolism)
5 s1 b# K8 s: w3 v    set age (age + 1)5 M( Z( f1 ~2 c, R3 N) A! q
  if (age >= life-expectancy)7 ]9 O1 o6 s' r' s9 w% n. e
    [ set-initial-turtle-vars-age ]
- K1 P# w# L4 w  if (wealth < 0)  e" R+ M) q4 w  V" o; h. d
    [ set-initial-turtle-vars-wealth ]
7 E, S; j( g) M+ ~) e) U   
# ?" \. g/ [  g# A0 Y# v2 Yend
8 c5 e9 _/ k/ ]4 t, Z2 I! r, L, y& N$ Y0 V  X) r( c4 E

! x, L" A8 l( N5 L1 eto setup-plots
1 j2 C* w, k+ R  set-current-plot "Class Plot"
  v; c' }* I" J' g' ]7 d  set-plot-y-range 0 num-people; n: c9 z& I- a# N8 T* Q6 v$ [+ Q3 s
  set-current-plot "Class Histogram"' f* y5 v- `4 t. E7 e
  set-plot-y-range 0 num-people
4 W. v4 h+ V! Zend
0 x) ]5 ?; |! O' G# Y; |
9 t1 z0 k) E3 ~1 L. _( ?$ @# Oto update-plots6 ~3 o$ @# {, X2 h( C
  update-class-plot
& `2 d* [7 P) W5 d: _  update-class-histogram
5 f5 Y, z& W% R$ U4 ~  update-lorenz-and-gini-plots, ~2 m. F, S6 V; R
end
) b6 @) @+ K; ~0 W" T1 {+ Y
% n" }! q4 h( [( r1 B, F6 bto update-class-plot5 s" U5 r5 F+ V. ]
  set-current-plot "Class Plot"6 H2 v1 E5 A: X  u
  set-current-plot-pen "low"
" V# t4 F- {8 |# b% d7 s! i  plot count turtles with [color = red]
) q* P7 N& G8 k1 n( x1 {  ~, X  set-current-plot-pen "mid"' s- s0 R/ Y# X: `/ R7 p; c# V
  plot count turtles with [color = yellow]8 t* i$ @( J  F  ~* _5 @
  set-current-plot-pen "up"
5 s9 {5 J. B; ~7 w  plot count turtles with [color = green]* R, {0 H# d( @5 s
end
) n8 v4 Q$ b& G4 Y9 O$ p: M! e( D7 _+ c/ a; _$ F3 V
to update-class-histogram! h& E2 B0 S/ I8 C  i! b2 i
  set-current-plot "Class Histogram"$ s$ y$ g0 Z1 L5 S8 ?
  plot-pen-reset# R3 t4 q1 S+ A. ?0 i. }) b
  set-plot-pen-color red
+ Q7 F4 L8 Q0 ]& e- j( v  plot count turtles with [color = red]
& N3 C' W. g* Q  set-plot-pen-color yellow; V; |' J& V. K' X
  plot count turtles with [color = yellow]2 |3 j% `8 P' [" [$ Z- j, f$ V
  set-plot-pen-color green
* R% A: Y$ i0 m  \* i; k7 u  plot count turtles with [color = green]
% m$ h% o. s0 bend1 V  E1 f6 Q: r5 O) |
to update-lorenz-and-gini-plots' j" n$ ?5 B, c; h0 b' E
  set-current-plot "Lorenz Curve"" J4 c, f! A/ }9 h3 [' W
  clear-plot* n7 E+ o: u! a3 l

( C4 r5 i) X2 y6 s; Z# E7 P  set-current-plot-pen "equal"
0 f* o1 C3 U( r/ }$ @: \  plot 0# a% r* ?/ L/ o6 |; T, i6 Q
  plot 100
5 c# f( j: k; q1 g: S
' O6 {+ x& p8 Z1 p, y5 X3 s. R; l  set-current-plot-pen "lorenz"
. z2 G. @8 i, X! Q5 v' R) t  set-plot-pen-interval 100 / num-people9 K3 F# [! y( R9 q
  plot 01 y7 F8 @+ _( }/ E0 v' i9 G
( Z. q' f$ B: d5 V
  let sorted-wealths sort [wealth] of turtles/ r( O( }( U+ n* o
  let total-wealth sum sorted-wealths
5 N/ T8 ]& y$ c, u: M6 f! O& b  let wealth-sum-so-far 0
2 u8 r5 ^* T9 f1 J3 _; B  let index 04 {/ Y$ l7 \5 q/ H8 i" x9 A( q
  let gini-index-reserve 00 B3 D7 E" g( Q9 v% S5 S& \

7 M3 w: E5 D* Y: T6 a6 u# @3 G4 I9 j  repeat num-people [0 {, R+ H  s( v( J
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)8 U; L% c2 p9 A9 x
    plot (wealth-sum-so-far / total-wealth) * 100
, S. i2 p. Y  c- N/ h    set index (index + 1)6 y" N! n7 a3 F
    set gini-index-reserve# p  }  M5 |0 N4 ?) u, N2 g4 x
      gini-index-reserve +
( i& y4 T, |/ o3 J6 Q9 l* E' M      (index / num-people) -
9 u) A4 b% d- W: V  P& s; H" t      (wealth-sum-so-far / total-wealth)
' |. z: S' j* c+ {) V3 j8 O  ]
+ \: I4 x! T7 R. m4 {/ V
) v2 W5 L1 F7 I( N! M) E; m  set-current-plot "Gini-Index v. Time"/ [3 E- {+ [' X1 {! N* r, V( A! w
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
! q( [3 `3 J- i; S3 xend. @2 z, X' X2 N
to-report area-of-equality-triangle. Z+ c2 o/ x! x  D  g# x. t
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
1 V5 n' L4 u( p7 b4 Yend
 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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