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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
& E% W! a! [- V" E, q5 Kglobals
/ X/ j1 p: B0 g6 k  ?4 s[
% O$ h9 @4 G2 i7 T" C8 U. ]6 r' H  max-grain   
# G  f- {8 \0 D* V) h6 X7 V3 k0 _- _7 `; A/ \5 S. Q; F- w
]8 \4 Z) W; R/ |. w& M2 S% {
, Z; N% S  D! H
patches-own
; j( l* }0 ]! k& z[/ `+ D" g3 ^* Y0 K
  grain-here      ; w" H9 p- f. _0 Y
  max-grain-here  $ U8 G' E& ?, L
]
0 Z. \0 @3 L/ q! ^
, x3 F/ a0 s- u) I5 U+ ^turtles-own
" |! I& Z( }+ U9 K& V% `1 @" n[# a. k7 d& @  M
  age              
, {) [+ R% c/ W: U5 B  wealth         
, v* h0 X  d( d- O7 a; E$ v  life-expectancy  0 y: M. o: \8 D+ G
  metabolism      
' H* K" c5 Z0 F; @! V1 c# V( l  vision
* P2 o! F/ ]+ v! v3 x: \( ]1 b/ I  inherited         
( O$ ~2 A2 A6 v" U6 A]
1 \. A; N* K2 [- \+ }9 w! y- @+ F" o- I
+ [2 o8 @/ E0 Z4 s; H
to setup  Z8 p5 ^% X6 |' g4 t7 |
  ca; e& X' u0 Z- w- C3 L$ H% H
  set max-grain 50  K/ e8 Y$ S( ]
  setup-patches
: W. d; M' S3 ^  setup-turtles) O' u% H- O7 P! N; R- q7 f
  setup-plots
- f! ?. a5 @& Y1 d  update-plots" P4 {8 }# S( Z% }% S7 o. ^- i/ P5 r
end
% ^6 r4 G1 X6 A2 W2 q$ Eto setup-patches
5 a3 N5 z& d  ]& T  ask patches# t& U4 _' ^8 R; f
    [ set max-grain-here 0
) h+ o- Q" [: Z! O( W, v, H      if (random-float 100.0) <= percent-best-land4 i) @" c/ M; i) @$ _/ O' P8 D4 K
        [ set max-grain-here max-grain7 |1 M6 o( R0 S* `
          set grain-here max-grain-here ] ]
$ z) ?* Q, B6 S( C* d2 z+ P1 v9 j. q% P  repeat 5* S2 r' M5 q) T& c8 f5 a/ r
    [ ask patches with [max-grain-here != 0]& I$ G" H5 A& j  e
        [ set grain-here max-grain-here ]+ _" {, {, n* i  l7 U- _5 h% k
      diffuse grain-here 0.5 ]
: ]5 L  Y& t& Z  repeat 10
# ^( o$ u/ x8 R0 N    [ diffuse grain-here 0.5]          + s2 m7 T4 n  a5 l& Q7 {
  ask patches
1 {$ D/ d9 f# J4 C; E% ~" ^    [ set grain-here floor grain-here    2 p2 O- x+ i6 @: N+ y. e0 h
      set max-grain-here grain-here      
1 U/ v0 m! l  W) Q+ U: p7 X( P) _      recolor-patch ]
9 [) h: o$ A& K% k: m5 Fend
8 ?: Z3 |. c1 ^  l$ w7 Y+ jto recolor-patch  
5 q+ k' \/ {5 M4 R  set pcolor scale-color sky grain-here 0 max-grain5 k3 j: H9 ]" x2 B
end, U8 W, P4 c3 S- q7 c
to setup-turtles( P, f# q1 J  b+ _
  set-default-shape turtles "person"
! N6 L) @$ x  e% T, d* m& A: m! R  crt num-people
6 ]" L; h! I& D0 x    [ move-to one-of patches  4 ?/ Q, b) D* m. V
      set size 1.5  
2 A# L2 }  p, c1 i5 f      set-initial-turtle-vars-age
8 G" w/ N  [, q: E% M/ N# m( t0 v      set-initial-turtle-vars-wealth$ ~( Y! s* r5 k9 ?; ^" G: h" e& e
      set age random life-expectancy ]! b0 p) C( i! n
  recolor-turtles# i/ P  B0 W2 H% g* K3 D
end
4 \8 X8 ]# y7 _6 V0 x  _& G& k' E8 J0 C- l
to set-initial-turtle-vars-age
" x: A- P/ z# C! \' H# I: u- P let max-wealth max [wealth] of turtles6 o( e$ v3 y! L+ E% w: M0 v, U" `9 s
   
8 l6 j8 `$ v, c, P4 @" m     ifelse (wealth <= max-wealth / 3)+ ]: P  B$ O3 |! i
        [ set color red
$ f$ S' b+ D. O$ j# f3 f, s9 @          set age 0
$ _! y6 N1 D7 U2 D          face one-of neighbors4
8 N6 \# F) g0 j+ k' d) U5 u          set life-expectancy life-expectancy-min +6 x2 l  Z) p& \$ Y
                        random life-expectancy-max
' R) u/ |9 F5 T          set metabolism random 1 + metabolism-low  K5 e: f, V0 X
          set wealth metabolism + random 30- g" Y! J( `; Y# t* f
          set vision 1 + random max-vision
" Y$ `6 D# e: Y8 p. a             set wealth  wealth +  Wealth-inherited-low ]
+ K; H$ |: ^: V9 F0 B        [ ifelse (wealth <= (max-wealth * 2 / 3))
9 h, z/ ]8 u- Y1 V. g  Y            [ set color yellow
2 H0 r; |: ~' e( M6 j( @, @: C              set age 0
# A9 W% _1 w' ]              face one-of neighbors4 ) c6 U! ~! [; G/ r$ ^# `, w
              set life-expectancy life-expectancy-min +& c; K$ N8 q4 X( O
                        random life-expectancy-max + 1
, h7 k0 f) ~) {" t. P1 Y5 I: V              set metabolism  1 + random metabolism-mid  A% U) }7 o! S7 G! E
              set wealth metabolism + random 30
% X) Q; w. V, |  |" i              set vision 3 + random max-vision
7 i4 g3 \. f# E  g6 n, k; e                set wealth  wealth + Wealth-inherited-mid]
1 G. ~( t2 s/ J4 q5 r& R) P9 s$ a            [ set color green
  j3 W# H% R/ y. x3 ~( \! H              set age 0
4 ~1 R( r/ w1 _& W! e  P              face one-of neighbors4 ; @, v& \) _& t" W4 }2 e$ J
              set life-expectancy life-expectancy-min +
" _# ~# y) z% W5 y                        random life-expectancy-max  + 2
  c1 K: C- A4 b9 m' b* j" e              set metabolism 2 + random metabolism-up; [& O$ k( ~" x: s2 F' T: D9 W$ N: \. [
              set wealth metabolism + random 30- D: n/ r9 X2 N6 @* k8 I3 e6 T
              set vision 3 + random max-vision
2 |8 Q" w$ l2 F5 I              set wealth  wealth + Wealth-inherited-up ] ] / [) S, q: S& |/ V4 g: n" s+ b

, e) ]1 m9 E7 O& ~/ W5 r' kend
. W) \/ T; Z0 @4 `+ n3 \to set-initial-turtle-vars-wealth
+ V" P- s7 p7 p+ t; d( _0 ~$ X let max-wealth max [wealth] of turtles7 g: M' e$ t3 G7 @8 ^3 k& n/ ~
          set age 0  ]6 O5 K+ {! g4 J; y) `9 O
          face one-of neighbors4
0 V$ p: _( C/ L/ A          set life-expectancy life-expectancy-min +
: p0 b# T6 m) j& N4 T0 U; i                        random life-expectancy-max
- z: u4 R; m: f- m          set metabolism 1 + random metabolism-up
# x: l# X5 u- S' R6 s          set wealth metabolism + random 30" k6 _0 e, n2 z& D% C3 j' x$ y: B
          set vision 1 + random max-vision 1 n( l  E( Q: m& G
end  x+ F5 O' M5 f. S0 N/ f
to redistribution( _* _9 ]- t4 D2 }
let max-wealth max [wealth] of turtles% @: E7 u3 i% O, w$ Y$ N) P
let min-wealth min [wealth] of turtles
" Y) d# R$ {* w: b9 q4 Qif (wealth <= max-wealth / 3)2 j  I# @8 ^# _* y  t/ Z4 D; ^! H+ }
[set wealth  wealth + Low-income-protection ]
* N+ a% }4 k: qend% ^7 [4 k4 g4 ?* A# N2 P; M7 R
         
" o9 Q- q/ o7 F1 |$ W8 `to recolor-turtles9 Z1 D+ W3 u8 E) G$ D& v! x5 s
  let max-wealth max [wealth] of turtles+ L; R1 _2 T. w( w2 o
  ask turtles
$ u; w0 _* {. I   [ ifelse (wealth <= max-wealth / 3)
& u* w8 _% V6 n  ?2 C+ K# U        [ set color red ]# b5 P& V. j3 L' T& u; k
        [ ifelse (wealth <= (max-wealth * 2 / 3))3 [" \1 _) {' ~8 y4 r6 ]
            [ set color yellow ]
" C/ G# b# N! w            [ set color green ] ] ]3 r  R) X9 i. I) t
ask turtles [ifelse show-wealth?
1 ?* G7 @  \0 f. E* t& l    [ set label wealth ]
% @2 R" X( Q# W: c9 v( i    [ set label "" ]]( X& W, f$ Q' N; c9 D# P+ R5 K
end; @: H) `$ R7 V; h  s

1 z+ D0 h$ ?* p7 gto go
1 q9 \' b: ?* s1 W  ask turtles' ]. X; {' Y) s5 m
    [ turn-towards-grain ]  $ {% r7 ]* N$ b( g
  harvest9 ~6 z9 c2 P9 ~* b* W' `
  ask turtles
0 b* ^% L- ^7 _7 J  p# G    [ move-eat-age-die ]
, y) Z9 g& K! u' r  J+ Z  recolor-turtles
4 |9 L$ \' i, N' p  if ticks mod grain-growth-interval = 0
* q' X0 D6 o# m- j; g    [ ask patches [ grow-grain ] ]  F9 j! }; z: G6 X' @. s
   / l( o0 |, h4 L+ G5 U* V
  if ticks mod 11 = 0" w: T/ K, X0 t1 b! W  ?- y
  [ask turtles# t1 H, X% S5 p) x+ S4 k; o8 b+ [: U9 W
  [ redistribution ]]5 }$ U- {, l3 D+ a
  if ticks mod 5 = 0
( E+ Q% x. w: A) s# A   [ask turtles  L8 e# j/ h2 K: B* [! v
  [ visions ]]
# @* J/ G% [# e6 B- S  tick% v! B2 t. s% m* {+ B
  update-plots
+ p% y+ w, S; r& I- j) L7 send- A) O- E* H6 h+ t$ T
to visions
& p# e3 `5 W1 j set vision vision + 1 0 J" D; j; M0 b( C4 h8 u9 G8 B
end1 P& {3 h) R5 G$ S
/ A5 e% o" u, E5 y$ J% |
; d2 S/ ?6 z* F$ u
. l1 p, L$ o6 Z, U
to turn-towards-grain  ' F  d5 p/ e8 T( \
  set heading 02 c( `& F! L( Y
  let best-direction 0# z: S6 w; B! \
  let best-amount grain-ahead& L. b" }2 E/ ^1 R
  set heading 907 o* S: w. S5 M! Q
  if (grain-ahead > best-amount)+ B' O3 W5 A1 O$ o4 w
    [ set best-direction 90
) P: l1 e5 O0 p5 a      set best-amount grain-ahead ]; d' u7 G! f$ V% z, Z: u
  set heading 180
7 ^" q; ]( M- t2 L5 ]  if (grain-ahead > best-amount)
) w; @4 }6 L, ^/ C; z  q' U, A    [ set best-direction 180- e) @! S9 X  j4 k
      set best-amount grain-ahead ]
; J: t: ~% h% J0 `0 E" v  set heading 2701 K6 |4 `, ]: j9 \
  if (grain-ahead > best-amount)4 Q( j% K' H: E& f6 s, T
    [ set best-direction 270
+ a2 A0 s3 k" y$ l& C: q      set best-amount grain-ahead ]
" @6 b/ s0 [" q6 k2 D6 e  set heading best-direction
; w- X; O1 v4 Z- rend
& D0 }, A; P8 z0 {  |5 f
$ C, L, V- X4 E: S4 n1 f! I1 w+ M1 A' d
to-report grain-ahead  0 c! A$ c1 N! V/ T7 A6 m6 ?0 o
  let total 0
" j* @$ p3 E) o+ Y: H* b  let how-far 1/ \: C" p0 K' P8 F* J) Z- _  q0 Y- [
  repeat vision; m8 N# @8 y6 q# T* A
    [ set total total + [grain-here] of patch-ahead how-far" ?8 {, |: L+ R* r$ N" u
      set how-far how-far + 1 ]
$ r* i, E" v" l! G  report total' {! s5 ]5 S: c: E' L
end- S) ?& Q" a% Y- s" w- g5 t% G/ m
- t0 j7 G5 R- `# h* n/ l& a3 S7 K
to grow-grain
1 ^4 }, }; B  N$ ?6 t% H& W8 a2 Z3 C5 X  if (grain-here < max-grain-here)
' R, j& }: u+ p$ E3 A0 ?' p    [ set grain-here grain-here + num-grain-grown
: j6 V! O. E' A0 t      if (grain-here > max-grain-here)
9 j& J' }3 |3 a  R* c        [ set grain-here max-grain-here ]
- q) [& a3 a6 [0 T      recolor-patch ]
. K# n0 Q! v( b7 z9 Q3 wend
1 h& s$ m$ t6 N5 Oto harvest5 V8 X% @9 J4 r
  ask turtles1 ~* f0 y6 B0 t# r, ~5 j' q5 u0 n7 P
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]# |, U: W. s  ~1 T# ~0 v
  ask turtles: h) ^7 C' L* u! Q$ v+ K7 P
    [ set grain-here 00 h+ e" ?$ A. @3 }/ s
      recolor-patch ]1 ]6 H  S' d; }
  : l! c/ n( _* u
end9 S. q+ b- ^$ z2 m* K
, G' h& _1 O. o* f) v8 y$ a
to move-eat-age-die  
- i$ c1 X' ?0 s# W8 C( }3 d0 s# h  fd 1
1 R; S  |1 E3 n/ @4 ~; S  set wealth (wealth - metabolism)
$ v3 e( Y2 V0 ^( E  K0 `: [# {0 d    set age (age + 1)
% R( I% m' d0 w, x9 d% i  if (age >= life-expectancy)) G. {: V1 `! o* Y+ g+ Z$ d% z
    [ set-initial-turtle-vars-age ]
! U/ u, L* J) H4 D8 K  if (wealth < 0)* R4 n0 x6 [' \0 Z1 l9 X+ E
    [ set-initial-turtle-vars-wealth ]
4 ?. f# |) t: J    + }- @, X2 H5 {( J, H
end' k: n" s0 V, t- y* Q9 l
7 S4 c7 M' f/ `9 |  j5 W) Q

. X$ r7 m. I. }; U! i% Xto setup-plots
* ?9 s# D* \. S) w; G  set-current-plot "Class Plot"
# y8 E$ q5 d9 v- Y  o3 ]1 x8 o  set-plot-y-range 0 num-people
$ z0 G" u, V  u  set-current-plot "Class Histogram"
% i2 C  t4 r9 _/ i9 G7 r( o  set-plot-y-range 0 num-people+ \4 ~- z- Y3 K* _
end
* i8 p; ~4 m. x# r* U+ v7 A/ G5 [" W+ N( R8 ]3 N+ g
to update-plots/ i: f, I5 A2 H* `- _: E3 v
  update-class-plot
' X: Z) {/ j; r- e- L# }- m# N7 _  update-class-histogram5 B6 y5 D1 {; q5 e8 h7 i$ O
  update-lorenz-and-gini-plots& v3 j8 G! Q8 q) c4 g3 y) J% q! t
end
( A! |$ P8 Q/ e; m! _7 ~/ Y* i+ [
% k% b. k" u+ J# n, }: fto update-class-plot
( k- r9 M" g" d+ R1 n  t; u7 U  set-current-plot "Class Plot", i; j1 f) ~& x
  set-current-plot-pen "low"
/ Z1 R# ?+ s/ c+ S" Z  |  plot count turtles with [color = red]
  I2 e8 q$ b+ t/ x) y, |% [  set-current-plot-pen "mid"
$ n6 O8 u  w7 \  q5 r) j  plot count turtles with [color = yellow]- c6 g. T& G8 `# u9 e
  set-current-plot-pen "up"  X+ w' H! ~/ g% c
  plot count turtles with [color = green]
3 U8 g& J* I" w8 g1 v3 N# g1 O: Wend
' P9 i3 H2 }0 Y' a) M( J. w. ]: W. T8 I* C
to update-class-histogram
8 i& w* ^5 O/ C& z( \# G& R* Z  set-current-plot "Class Histogram"
: Q! B7 q7 c# V$ q/ P: p2 M& e  plot-pen-reset3 v1 {# K. F4 _
  set-plot-pen-color red
* a8 W) m2 b+ B2 n  plot count turtles with [color = red]( O& d" v: X- {4 l3 R
  set-plot-pen-color yellow
9 h8 |3 D* M7 m  plot count turtles with [color = yellow]
3 m/ |) x' z( U6 {& Z- ]# c  set-plot-pen-color green
$ V' W  n+ _& T: e% `) X  plot count turtles with [color = green]
! \0 V7 M2 L& w: r# {8 Jend7 u  ?* p: S) }( K4 j
to update-lorenz-and-gini-plots+ X! q4 x* S3 k( T2 z, ~
  set-current-plot "Lorenz Curve"
5 B# p1 D6 @* \- q0 A6 F' f7 A  clear-plot5 j) {2 I$ I1 c8 P4 D* f$ d
9 T, H' z: V8 b  e) Z5 h# I4 ?
  set-current-plot-pen "equal"9 ^) D( z, u' V& H7 I
  plot 0+ {( w0 q$ F8 C8 v$ K
  plot 100
  F. I8 }& T( E: w+ J5 |3 e1 r% \: Q; x! z; F
  set-current-plot-pen "lorenz"' H" z6 _* N' Q* `- P
  set-plot-pen-interval 100 / num-people7 v4 h  F5 a* ^+ q/ Y. E
  plot 0( V4 e" u" w1 {/ j+ R) F
& R6 e. T6 b6 O( W' h! ]
  let sorted-wealths sort [wealth] of turtles( f/ R! o, z. z
  let total-wealth sum sorted-wealths
6 l! [. T  ]/ {+ H% g) s  let wealth-sum-so-far 0
) ^- i0 E% v2 p& w  let index 0# K7 \/ ?6 g  O6 E1 n& g: P- r% e9 e) |
  let gini-index-reserve 0# w: _/ `* b; l4 g, j4 p; u

* X/ P" K% B: h( ^  repeat num-people [1 e; j% O4 r: V, g
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
0 B# l" E  x* z- _3 y    plot (wealth-sum-so-far / total-wealth) * 100
6 b7 k1 B! e4 y( U6 o7 F. E/ m    set index (index + 1)6 r; X( E3 b9 f( B* c5 L, |
    set gini-index-reserve
# s$ R7 ]# o: t9 I0 p& R& T      gini-index-reserve +
/ m7 M" c+ E/ b! D9 Y! N) @      (index / num-people) -
) B# Y) e/ @$ {      (wealth-sum-so-far / total-wealth)
( D! m) u/ n  ~% ?/ q) M! `. J; D  ]0 x' m% @6 B, h; `0 @

8 T; h) P0 T& q. Z+ H% ^  set-current-plot "Gini-Index v. Time"2 x$ t. ?! [7 T+ L+ k2 \
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
/ I6 n3 @) ~+ Qend/ X' z6 v% |: h- I; ~
to-report area-of-equality-triangle# K8 i+ _, }- o$ f
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
* a) z/ l; m4 I8 r4 Zend
 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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