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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
; c) R, `! e  n" pglobals& j! `: Z0 k) a  m8 p5 R/ X+ W
[6 P  D2 ]) J7 p& A/ g3 L
  max-grain   
% W' o: F3 F3 `  P& L4 u5 ]
& M+ T' Y" U$ J: y]" a8 P2 p1 U. n8 ?# R
5 }- w; O) L. G3 D5 t
patches-own' r9 ?0 p; _4 P. n- w6 s" q
[1 m+ B1 o; l* I1 |6 x5 F
  grain-here      ) ^# r2 u* x% D2 b
  max-grain-here  ' a' Z6 P; c! h8 K& k
]
* b4 M5 y$ o/ m3 T  Z# d2 p' ^5 _
! {% R2 R& l% T! X, i' u6 B* k8 jturtles-own
9 g. [6 a- k) `& `7 l6 R7 T( M3 v[
9 l, H2 n5 f8 ^+ I( I% I  age              
8 B1 E  ~! U) u# h7 L1 B9 L" E  wealth         
5 q4 \3 X2 S5 Y1 g8 j  |  life-expectancy  $ p7 o! |  t- W% c4 C& l) K3 f
  metabolism      
9 J) |6 B9 v4 F- k  vision
. d: e9 R) E& n# A6 F$ F  inherited         
: k+ m% J, O) G. H9 K]3 _% g$ T2 h8 g5 _; n) @# y
2 u* N7 _9 H( I! w4 `

; C8 l* A4 w4 U5 L% V1 m* T% gto setup
, P3 d/ o# u! U6 _5 }" W/ z  ca
9 w: b3 g( j, t+ q' u  set max-grain 50+ l) [- Z3 B0 e# z$ }+ s
  setup-patches) T" g3 P9 f  t: \
  setup-turtles
+ i; M! u' \! n5 d! W  setup-plots
. Q* a0 U9 P8 l: \  update-plots
$ k( x9 r  v, J. zend! v4 K0 S+ p- `, @
to setup-patches, A. S; n( J! g: ?4 s! O' Q! g) q
  ask patches) }' I3 J3 t2 u# Q
    [ set max-grain-here 0
8 d3 N- w2 l3 [! q; v      if (random-float 100.0) <= percent-best-land& p4 S" p; v. r3 x. ?& G, l
        [ set max-grain-here max-grain
0 ~4 S- X5 M$ |" P$ e          set grain-here max-grain-here ] ]
$ {" ~1 C; u9 N; p- R& _+ c8 b  repeat 56 j9 z  C( o9 X8 A; Q
    [ ask patches with [max-grain-here != 0]5 y# V2 Q1 Z5 l, N, j
        [ set grain-here max-grain-here ]
3 C; g( E) @7 ]* R) \+ @& j  f9 H6 u& I      diffuse grain-here 0.5 ]
$ G0 {$ o8 D" ], D  repeat 10% Y& |% K  @* v( v' N# i  a, t
    [ diffuse grain-here 0.5]         
8 b, o1 c6 k$ F, C- A  ask patches
  }  J4 S9 Y* ]) ]- v2 w) W    [ set grain-here floor grain-here   
3 f, C% z# A2 ^, |. U7 R      set max-grain-here grain-here      
2 j" h; e, s# W% Y8 n, a      recolor-patch ]
& w: @* W" f4 j% `& ]end1 O. p2 l5 Z  w8 X. o
to recolor-patch  
0 e. ^2 D' b, C0 n% N  set pcolor scale-color sky grain-here 0 max-grain- u/ J) G, D$ L' V' a7 Y
end2 u9 e! H% r! O3 a9 A6 L* m
to setup-turtles
* e% h+ E2 R, h  h0 d  set-default-shape turtles "person". e+ Y6 X/ _6 X+ M7 G% [8 a+ n; D
  crt num-people
% p2 z  j0 l* E4 n    [ move-to one-of patches  " m4 l8 k8 A4 F0 ~/ u. ^2 N/ s5 z
      set size 1.5  / v% k+ `) }3 S% K+ R/ \, y* O, z
      set-initial-turtle-vars-age3 p( T  f4 A, R
      set-initial-turtle-vars-wealth
. ~; w  }7 f( e. k$ [5 p2 r3 r0 M3 v      set age random life-expectancy ]
8 U' [& X# U. L; @* Z6 ^  recolor-turtles
+ l- m9 ~3 L7 {& b/ ^8 f  aend
1 ?$ W8 n, Y) G2 w2 T1 H) b+ }1 b% d# y+ T
to set-initial-turtle-vars-age
9 x( [) a/ T3 I! ?2 A let max-wealth max [wealth] of turtles9 Q/ o7 ]% r: W
    % @: n+ e% s3 l) u0 s8 ^
     ifelse (wealth <= max-wealth / 3)
! ]2 H: ]. r: R/ b9 F$ C8 }5 y        [ set color red 6 i' G- N# ?6 l; d! C
          set age 02 I( J, \8 f+ _+ `4 e
          face one-of neighbors4 8 r6 Y% ?& w% P! m/ y
          set life-expectancy life-expectancy-min +6 l) N4 h( q& v4 Y
                        random life-expectancy-max
* X# z7 I2 c# U& \- v2 o% ^, J4 \: \          set metabolism random 1 + metabolism-low
) C% d8 D7 B7 X' ?          set wealth metabolism + random 30- m/ G3 W& N0 {/ h- c
          set vision 1 + random max-vision
5 _2 _7 ?* L1 F             set wealth  wealth +  Wealth-inherited-low ]
7 L( c' I1 P+ S" d$ ]: H# u8 P        [ ifelse (wealth <= (max-wealth * 2 / 3))0 h8 V. H3 X7 l& f- [
            [ set color yellow 3 Z' S# N& Q1 [* t
              set age 02 B7 [( b- }2 K* o' j5 B
              face one-of neighbors4 % o5 p- }  Y6 S7 f6 U# S, i
              set life-expectancy life-expectancy-min +* v$ L& m' C0 j
                        random life-expectancy-max + 1
- b, L4 ~1 t- r# ?, g              set metabolism  1 + random metabolism-mid
. C! O; F: ~1 U$ I: d" U              set wealth metabolism + random 30
) I! G) b. v0 c( J9 |  R              set vision 3 + random max-vision
" q5 ^9 Z' H' n1 A                set wealth  wealth + Wealth-inherited-mid]1 t) _7 o% l2 b( b1 r; e9 A
            [ set color green
& {, u' E1 S2 e: f2 I. D              set age 0
: u. X) M: L9 X. b: `7 C& T              face one-of neighbors4
  s" {8 L8 t4 K3 n) Q4 E              set life-expectancy life-expectancy-min +* {% x$ h! I7 l! T; Z2 G
                        random life-expectancy-max  + 24 J; {4 E- c" T) K! ^( b3 `' w
              set metabolism 2 + random metabolism-up$ E0 ?5 i9 y! d8 ^6 W- U, d, _' z6 k
              set wealth metabolism + random 30. |3 `+ t: v3 O: i, Q' c* L
              set vision 3 + random max-vision- O4 h2 Y" \+ U% N
              set wealth  wealth + Wealth-inherited-up ] ]
  ]8 Z$ e; b2 q2 K( X4 i : l# i. M0 W; J, ?# S3 h
end
+ K2 M: P% B2 W5 }- nto set-initial-turtle-vars-wealth! Z' }# B9 b! P
let max-wealth max [wealth] of turtles9 _# t0 b  M9 S& F$ s+ ~+ Y2 Y
          set age 0- o- `* Z9 c& A0 Y
          face one-of neighbors4 : ^  j, x4 s" S% {
          set life-expectancy life-expectancy-min +
6 E# c0 }0 d0 g* r4 L/ I) r* }) A                        random life-expectancy-max 5 H' ?9 A' k; U$ P  s3 P
          set metabolism 1 + random metabolism-up: d. h8 V6 O! y7 s0 ?
          set wealth metabolism + random 30& {( m8 @8 B+ q; \6 r
          set vision 1 + random max-vision
, Y+ X7 I9 A. P; i5 I. ?, Hend
2 ]2 ^6 c$ G6 N7 z2 u( z0 zto redistribution# y; m! b8 D& K
let max-wealth max [wealth] of turtles
; P0 C" Z0 I6 n+ T" mlet min-wealth min [wealth] of turtles
( K9 z! u% P$ e$ h8 M5 cif (wealth <= max-wealth / 3)
, f# C3 x" {& d. o5 I6 p [set wealth  wealth + Low-income-protection ]# M& l! G6 N# ^# Z" T
end
- c  X, M+ G: T4 ]/ d         
/ e9 m1 o# o- E1 e( Y6 V* N! ]to recolor-turtles
. d5 h% e7 a( ^3 |0 B, q  let max-wealth max [wealth] of turtles
" x7 h8 W1 [  U( S$ Y) U# h/ H7 I  ask turtles
& w% a6 a+ G  @0 Y   [ ifelse (wealth <= max-wealth / 3)7 S0 w' U4 |$ w
        [ set color red ]
5 S4 e' N6 T" E* x* x        [ ifelse (wealth <= (max-wealth * 2 / 3))! O4 l3 h& u9 a/ D6 ]& w
            [ set color yellow ]/ ]9 _: L  b: B8 a" I' c
            [ set color green ] ] ]: R% N5 _2 [( I, O& u4 @4 ]
ask turtles [ifelse show-wealth?
$ Q+ H! b: I( |8 L' q2 n, z- J    [ set label wealth ]# T) G  H( `' u# A* y& ^
    [ set label "" ]]
- `. a7 t  T' h/ b, @& kend+ Z' f# b4 {7 I/ F! T6 m, a
! H) |# P+ i, [9 K; f" s
to go
/ \9 g9 ~; T% W4 C8 l' {* [  ask turtles* o* O2 i$ U) k
    [ turn-towards-grain ]  
$ u+ L7 V# U& @, X, h- z  harvest# U# ]5 T9 o" W8 ]1 j$ U8 V* {
  ask turtles
3 r# j# t/ \4 Q2 K6 l  {# V* g    [ move-eat-age-die ]+ I9 Y" @0 a9 R# S0 {, t6 v/ z
  recolor-turtles( V3 K3 q6 k3 J2 F- ~, \3 j
  if ticks mod grain-growth-interval = 0
0 k3 p! Q" f6 M* A9 C5 A0 N    [ ask patches [ grow-grain ] ]: ]; Y# q; o8 |; }- _
   
& ^6 N0 p, E* d* s' R- u8 E  if ticks mod 11 = 0$ _0 [9 |8 J/ J# W; n
  [ask turtles
, i; [8 |7 d. Q. q0 B4 s! w8 f# ^- H  [ redistribution ]]% a3 j0 T3 y& m' w' M- h4 ~
  if ticks mod 5 = 04 _+ v2 a. F* L  ?; l* P7 N* @
   [ask turtles5 g- [* C. @- z0 Y% ^: w
  [ visions ]]
( X' Z& w. X- q$ i1 {  tick
' `+ t7 W3 ^5 h- M  N6 `  a  update-plots
/ d0 A' V2 B+ L7 K( Z0 M1 Lend  {! _4 m' N8 z4 t) a) L
to visions. x7 y0 a# l) `" E5 T: ~! M1 p9 R
set vision vision + 1 ; ]% O( \( u# m4 V0 T4 d2 t
end* j! q: |) Y0 K

- L5 b; K3 s6 M  w! x  f$ {/ ?; L) O% T/ m

5 u4 L) B1 _  j: G; Cto turn-towards-grain  * ]( P/ _6 |$ X
  set heading 0
4 N/ v# ^0 m2 {3 J0 H  let best-direction 0
9 `  ~' ?+ o( M  let best-amount grain-ahead9 ^# y( z7 q1 `! w$ M
  set heading 902 Q! H% h. l6 n
  if (grain-ahead > best-amount)0 |4 a/ Y  O! J
    [ set best-direction 90  }; j" e- V9 p5 E
      set best-amount grain-ahead ]
% G: m! p9 q- r# A# Q  set heading 180/ A4 W. C$ [$ t) X" r$ l" l! D
  if (grain-ahead > best-amount): C2 `* z% A6 m0 M5 m; f% Q' C
    [ set best-direction 1806 k# s9 @" C* K; z2 F! o) h5 r
      set best-amount grain-ahead ]' I0 Q, A$ d8 }- m8 s
  set heading 270
' }1 _4 e3 {1 R2 G  I8 g& ~  if (grain-ahead > best-amount)
7 H6 o  J! O" g0 f    [ set best-direction 270
7 d2 M) p: b* S& J      set best-amount grain-ahead ]1 G( |* m  B; y" F; g0 p8 X
  set heading best-direction& V: O$ n: A& B# y5 a8 h: x
end
0 j" q' O3 s' I3 j
8 k" l$ B, Z2 V. H1 a8 ?  w! I5 W
0 n' q; y2 G# c2 |( ]to-report grain-ahead  / j6 _. a2 D2 L: G( V2 G5 Y
  let total 07 A$ Y" G1 Z! L! w" m' ^
  let how-far 1' ~( e( Y* o$ a6 |5 H& ]3 C- J
  repeat vision
: t  Z/ W$ D$ p1 J( i; z+ Z4 x4 L    [ set total total + [grain-here] of patch-ahead how-far
& b9 ]: l0 h- Q+ R' P0 o      set how-far how-far + 1 ]
# R% Q, Z' l, w. ]9 t$ W+ d* g  report total
9 n  y' X' C  U1 ]end  v$ A3 R- B: r  h

8 c; t- ]* e) z4 U3 P, V; Y8 Fto grow-grain & F$ \9 J5 W+ p, V' k8 c* b+ x1 c! E
  if (grain-here < max-grain-here)9 t; m) Z* o0 c- C- w
    [ set grain-here grain-here + num-grain-grown6 P" f# S0 s& |1 B, p; g+ A6 G4 s
      if (grain-here > max-grain-here) ( n6 v# n& F: L7 S8 T2 @
        [ set grain-here max-grain-here ]
/ c/ J  C8 s% _- \0 H. Y0 u5 n/ {' [      recolor-patch ]
8 G' k- d; r' ^! G% r; H' E- T- aend8 C. ~5 K# _& R+ |: G
to harvest/ h, T, k- d' |5 B* k; ^
  ask turtles) ~5 T- r# l6 u9 B  h9 i
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
# m0 I5 Y. u7 r# s+ U6 K, A- T  ask turtles: I# H0 ^: t- W! Z+ z1 a9 W
    [ set grain-here 0  Z' C# Z& Q% B
      recolor-patch ]
% A9 l, k4 \: p8 |7 O/ b+ `2 c  8 J$ Y  C/ P" p# E
end
1 m0 i* j- t9 d+ ?" e
! ^# Y1 c, ^; @" @& x( Eto move-eat-age-die  
8 d# Z8 n! r$ z: e& S  fd 1
% X8 z* P7 J3 F, |+ ^3 S, y8 u' C% x  set wealth (wealth - metabolism)$ C: F) h- y! }: O9 K8 U
    set age (age + 1)8 q$ W/ l1 n: z# y3 N+ E1 ~
  if (age >= life-expectancy)
  A2 D7 B6 V2 T* o0 `3 D    [ set-initial-turtle-vars-age ]
6 H% @# I4 v) A1 R3 E+ r3 w  if (wealth < 0)
! g1 m- |: Z7 u0 s3 Z) F    [ set-initial-turtle-vars-wealth ]
6 n0 ~* C1 C. o/ I   
; c' Z6 \( i, q1 y2 i  Send
0 B+ c) u* H* b2 p+ {- F" F" T- e* g, ?4 ~1 @
& [# O0 Q. I' g# ]2 K2 {
to setup-plots. _3 D" q4 @5 j4 t( Z- R  g
  set-current-plot "Class Plot"
. b. c9 j1 [' W  set-plot-y-range 0 num-people
9 G/ k7 u4 k9 ^4 C& m/ V6 [; b0 S  set-current-plot "Class Histogram"
" M: @, q1 T' Y* R% z1 v  set-plot-y-range 0 num-people$ K  R5 r) m7 N: x; N* _
end' g7 K5 I( y. ]! ^8 o3 y

2 E) b3 N8 k) I5 P' j$ Qto update-plots
/ M; q1 `/ ?. @- ^& a  update-class-plot% X5 [: {: o5 a
  update-class-histogram8 n+ I! R3 `# j3 _  Y3 j5 p
  update-lorenz-and-gini-plots3 b3 F/ S- f4 ]! r
end, ?- e# n9 E2 s: J
+ F4 H2 t) m) Z8 A2 e& O" E
to update-class-plot  O! B. k! W9 ?/ H0 {+ f/ ^) M
  set-current-plot "Class Plot"* J% D; G$ d! |$ j# }) F
  set-current-plot-pen "low"
  i0 W+ ~2 B2 x  plot count turtles with [color = red]
0 e9 d% P- k0 a' n( y+ u+ \  set-current-plot-pen "mid"
: n" |4 ^8 o, V  L7 K1 T6 L1 p. N  plot count turtles with [color = yellow]1 ]1 U; h! _. I8 Q' L5 ^) x
  set-current-plot-pen "up"
4 k; p* }% }# [4 b# i  plot count turtles with [color = green]. z2 u( i) C. G* ~2 g, v
end' K0 i$ d' K! c3 ?

; X. }9 `2 Z3 z6 B7 Gto update-class-histogram9 Z( R8 F3 J) U8 Y4 f9 [- X
  set-current-plot "Class Histogram"9 [4 |8 M0 G0 n7 _4 D3 D# D' R
  plot-pen-reset+ K  \0 i  s0 @% O& `4 u+ ~5 Y
  set-plot-pen-color red
# `7 y9 K' d/ Z) @% i  plot count turtles with [color = red]$ W2 A/ B9 y' V* h* a0 @: ^" e- t
  set-plot-pen-color yellow- I1 r6 i; B: r8 r2 q% V
  plot count turtles with [color = yellow]
3 U/ l" U% i6 T" v5 X  set-plot-pen-color green% Y& w* l9 U) p* L
  plot count turtles with [color = green]
* n5 m: r) _9 p7 kend5 d& v1 {, F7 }' \9 y$ u
to update-lorenz-and-gini-plots) O% f1 B4 e# {7 \4 }; p3 z1 [
  set-current-plot "Lorenz Curve"3 U" U5 H/ a; R1 F
  clear-plot
4 U% |3 a* e$ E( }7 ^
; ]- A% i# {) S5 q5 s2 G& H. x  set-current-plot-pen "equal"0 C# Q( a8 ^4 \/ L8 r- \
  plot 0
4 v5 h0 m; E; m; u; b* X  plot 100
: s# h3 C. M- C& Y0 f) E/ }4 e& n% ^( T1 J
  set-current-plot-pen "lorenz"
  ~  s; y" y& n& K( U" N$ |  set-plot-pen-interval 100 / num-people
( J: Z4 ?9 U. j. i0 F- c  plot 00 _3 x2 M* i# @' ]
% x& o# |' \; s9 A/ o: C9 T
  let sorted-wealths sort [wealth] of turtles
0 Y# y/ L  I* t2 F+ S7 K6 N, z( J  let total-wealth sum sorted-wealths
; Z8 Z. l) T1 ^* W. K1 B. {  let wealth-sum-so-far 0' h: A% ^( t- X9 K
  let index 0. q6 ^, [6 C* N8 Z' d9 W& u# g2 Q- t
  let gini-index-reserve 03 M# T( P. H0 ~, }9 a

: g& ^9 D1 Z4 k; @; m: g  repeat num-people [7 ~% K, ]4 o2 Z5 m' c  r& i% _0 p
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
3 w5 b$ n. @* |    plot (wealth-sum-so-far / total-wealth) * 100
4 d' c9 @9 l7 \8 m0 B    set index (index + 1)
3 r  e* t# N: H1 I4 B" P    set gini-index-reserve
3 p1 u$ }0 ]6 t# Y$ \      gini-index-reserve +, j/ c6 \, K: F( E2 f" T' Q
      (index / num-people) -+ y7 J4 k" o" u" @! T. q
      (wealth-sum-so-far / total-wealth)
  i) O) B# w& f( w0 {; w  ]  h2 {) Y( |7 r* P+ w0 _
6 X$ ~- a' o9 C
  set-current-plot "Gini-Index v. Time"
1 x2 H; `  i' m! b7 ~  plot (gini-index-reserve / num-people) / area-of-equality-triangle! A( P& u9 n7 r; l/ [
end* |8 N( c. m' `: ]) f: w( U
to-report area-of-equality-triangle: J& K: F7 H  V
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)# W" B: W" ]; r; _8 \" u# s
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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