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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1 l" |" r4 V2 w9 Z/ ^# k
globals5 J3 N& ^% E) u4 I1 B2 V, `" a  n
[8 b+ m* z/ W. b) a5 v, o% ]
  max-grain    4 p7 |+ M1 i4 h2 }
$ u6 {$ C9 ^) v- l6 y: k6 y" L
]
' |; t' z2 d$ l1 ~5 I9 D. i, j  l/ w" a: y5 M2 N
patches-own: }1 r. G5 S# H) |+ J
[
6 @. J, N9 n7 b9 {  grain-here      
+ v$ g5 q8 `9 q* c2 u. ]& l1 A  max-grain-here    W( m- j% P1 u. x& ~5 t
]
+ y6 o% }  M) p) v( w; J8 w, Z; m, T" N. C! A8 T) o0 H" L7 A7 a
turtles-own
. E. P! S5 ]' ^/ H[9 Q& @4 E0 @$ r9 [
  age              
0 I6 d/ {. e, t  wealth         # j2 f" R1 S0 `5 j& P7 B9 d
  life-expectancy  
1 _/ m& ~6 w, L" ?& n, z  metabolism       ) u; Q: s! C. U/ W! ?( L) n2 v
  vision/ x9 r: h. j: h2 ~, L7 P
  inherited         
; W, U3 W% X" _7 v5 ~! R% h]
, |! q. m' H' L/ H+ w8 L6 R  @9 E; w0 e) U+ Y
" o9 N0 `" w6 y* e  ]5 g
to setup
2 y0 w$ i5 k; K$ l1 r  ca: U3 I$ l- S  G0 B; G3 Y7 _  L2 i& z
  set max-grain 50' C" A# v3 \! q+ [/ x& \+ n- H
  setup-patches
; |. n3 u& q( F( I9 J2 n7 [# }  J  setup-turtles
0 d# V7 ^* j& b$ n" f  setup-plots+ r: r) H6 I3 b0 c) I
  update-plots
7 a/ @% O4 D2 I3 q2 `end
/ p6 S7 q- x/ h9 Yto setup-patches8 G/ s1 C; U3 ?6 t% s7 {
  ask patches  v: }3 \9 r# e+ u, ?) S
    [ set max-grain-here 0
* g7 d9 n; H4 _      if (random-float 100.0) <= percent-best-land
; Y- d' H& ]; ?# Y5 V        [ set max-grain-here max-grain$ \/ X; W' s# O. i
          set grain-here max-grain-here ] ]
8 ]$ A/ _( x! p5 F4 H) h  repeat 56 B. ^) P( T/ T- s5 D- [) |
    [ ask patches with [max-grain-here != 0]' e4 O; T5 `. U7 W! ?( X
        [ set grain-here max-grain-here ]
+ ~8 d! V' B% w( N$ X) \! `3 |      diffuse grain-here 0.5 ]
- M$ v' i3 m( Y# e" J3 i! H3 K  B  repeat 10
, ]/ R1 b6 w( V  N  l8 m3 D: r    [ diffuse grain-here 0.5]          $ a2 l1 Z: Y* ~3 j; }& u$ N
  ask patches
6 G5 x! X# u0 z    [ set grain-here floor grain-here   
! F2 E5 S6 i; N5 O* [  D      set max-grain-here grain-here      
; K5 C4 }" W6 B3 }      recolor-patch ]+ U6 |5 H& b6 X8 u
end
! T% o  S) }4 }% P+ {3 |: Oto recolor-patch  
! }3 l! l7 Y' a. l8 v  set pcolor scale-color sky grain-here 0 max-grain/ H! h5 b- m0 ]( a9 m$ ?4 j% z0 O. `
end: Z. @$ j1 J; S* O  X! c1 T
to setup-turtles
# I: U! M/ ?! c7 M8 X  set-default-shape turtles "person"
: F; A' y, S; r" U$ ?; n6 w, z- j  crt num-people5 X; f$ T0 x. c5 ~
    [ move-to one-of patches  ) X' U8 ^  `/ j' X# F
      set size 1.5  7 M0 p  g  A$ \+ m/ b- u# t: M/ o7 k
      set-initial-turtle-vars-age4 ?9 m/ F$ B! \! L) e/ P" [
      set-initial-turtle-vars-wealth
# r* F' z; {$ M/ c/ h      set age random life-expectancy ]! [3 J$ D; E3 J" P. F5 H
  recolor-turtles
; d) R8 \2 |# D* ]2 uend. a7 q1 S2 z9 Q) T& Z8 Z/ Q8 U3 h; k
+ F* z' I5 N2 K* M7 o: g+ F
to set-initial-turtle-vars-age
9 I+ y2 d  B5 c% H! m; O3 @ let max-wealth max [wealth] of turtles/ R# I7 \9 b, _( Y
   
# h) t! I* E) v6 D6 F. E     ifelse (wealth <= max-wealth / 3)/ L2 C) [. V' X4 t5 @4 R) i
        [ set color red % F5 u) z+ w1 ]
          set age 0
4 q. u! ?# x) V0 X2 H; a          face one-of neighbors4
2 X3 k$ y3 P( I; D9 Y          set life-expectancy life-expectancy-min +" s5 _5 `7 l! P0 [
                        random life-expectancy-max & \, a' h  F7 j8 x+ b
          set metabolism random 1 + metabolism-low' `5 k7 |1 Y, N
          set wealth metabolism + random 30
( |9 i; f5 h) W# l6 p. e' A5 u          set vision 1 + random max-vision
9 `. u4 \- g5 g6 e  Z  l# c4 j8 b             set wealth  wealth +  Wealth-inherited-low ]
& U# Z3 ~: l* }$ p" Y$ |        [ ifelse (wealth <= (max-wealth * 2 / 3))
0 @  n# K8 O6 d# J: Q            [ set color yellow
6 Z0 ?3 f+ |: m3 M              set age 07 \/ {1 {, N3 A( q# k. w! N! f! G( C+ ?
              face one-of neighbors4 : B' U% a9 G: C1 ]; T9 B
              set life-expectancy life-expectancy-min +
* N3 k( c0 s; t; T' ?5 D                        random life-expectancy-max + 1# ~* G/ N$ e: O' p
              set metabolism  1 + random metabolism-mid4 Y3 _) z: w3 j
              set wealth metabolism + random 302 O* d* L" B: b$ B1 |7 y2 S7 N* h; O
              set vision 3 + random max-vision
* |# {7 x) @! f& H                set wealth  wealth + Wealth-inherited-mid]8 C* _4 T/ e: _% n% T
            [ set color green 3 w- j& ~' O: {! s* j0 K5 ]" C" d% _
              set age 0$ P+ u2 k" F5 Z$ H  h
              face one-of neighbors4
1 B! C/ A, O9 h& |              set life-expectancy life-expectancy-min +& d$ ~" @7 V% ^5 F. p
                        random life-expectancy-max  + 2; J, J6 ^( B% S! Q3 P" H' Q* K
              set metabolism 2 + random metabolism-up1 F5 |  P- ~9 k/ @# D$ a% h
              set wealth metabolism + random 30
" K7 Z& w6 C; k, N              set vision 3 + random max-vision
" I1 s: I' s9 O7 i7 i              set wealth  wealth + Wealth-inherited-up ] ]
# ]+ \& `$ }( t; H/ m% \2 j4 Q; w
3 _9 F: H. Q& t9 x4 }end0 f: A7 K8 [% g8 f% y( [' c0 l+ Q9 ^
to set-initial-turtle-vars-wealth
+ L0 x, J# o/ J* l- o let max-wealth max [wealth] of turtles+ n9 ]9 L1 N# c$ j# `
          set age 0
: l3 V2 i' h  D% l! n          face one-of neighbors4
, I5 v% Y9 D$ p  g* a          set life-expectancy life-expectancy-min +
% s: z5 Q3 w+ j# M  K$ ^                        random life-expectancy-max
. b2 w' o, v  ?+ B+ k5 h0 p* `! y          set metabolism 1 + random metabolism-up
* f5 v' F2 M- E6 s; n& _' d& K: c! c          set wealth metabolism + random 30
# a% i1 g% T/ S* O          set vision 1 + random max-vision
$ D: E% G( K2 y6 l5 h2 Kend1 R" r3 J1 Y# t: H  i" R
to redistribution
9 w- s1 }/ \$ z4 P  f  zlet max-wealth max [wealth] of turtles
0 `2 R0 u" f8 a$ d5 W* Zlet min-wealth min [wealth] of turtles
; z. c7 i3 u3 B$ t5 uif (wealth <= max-wealth / 3). H* ?. Z0 h* y+ `- w
[set wealth  wealth + Low-income-protection ]/ ^9 M. |9 u9 @2 u/ {5 o# @
end- P9 A1 d* l% g, H) ?1 f/ }9 `
          7 f  |4 m& T2 t2 ?/ f. y
to recolor-turtles
+ c* ]' `4 Y" ^; x  let max-wealth max [wealth] of turtles! z: ~! a% n! i7 U% `/ S
  ask turtles2 c7 ]2 t* y! q# K. x. y5 M
   [ ifelse (wealth <= max-wealth / 3)
. b8 R& C" ]1 R/ M        [ set color red ]1 A( E) {* y) w
        [ ifelse (wealth <= (max-wealth * 2 / 3))
* [( o" Y% s" M7 G8 Q2 I: G            [ set color yellow ]
8 i9 t/ s. l, v  S+ F3 u' C( u" u            [ set color green ] ] ]
( k  q" f% U4 f9 L ask turtles [ifelse show-wealth?
% ], n# z8 X- q    [ set label wealth ]8 J5 Q$ p$ m8 y5 E3 ?
    [ set label "" ]]; b- g2 Q" r: c/ u" I
end1 A" t5 O8 h# Y% O
4 C' @! Z+ t% I0 S
to go
' \7 a9 S! d, h" N# G) o  ask turtles
8 [  v. e* {6 |    [ turn-towards-grain ]  
! [. O' j. ^' O1 E. ]  harvest3 W% D$ p0 r+ ]4 ], [/ |- M! [* ~
  ask turtles
6 N' o( A% Q8 V8 k& ?    [ move-eat-age-die ]
+ A- I1 N1 D! D, r1 j' i0 ^8 x. K  recolor-turtles+ k( i3 j1 G/ q3 a% l" H
  if ticks mod grain-growth-interval = 0$ n5 k, C: d2 g
    [ ask patches [ grow-grain ] ]
/ b' X3 |3 L  P* Q   ( u8 w1 r2 `9 I1 e; P
  if ticks mod 11 = 0
. B% \# D$ f7 X* l0 t/ \; W5 S  [ask turtles; s6 ~- y  W* r1 O3 z9 ?
  [ redistribution ]]# ]' P2 W7 J; D4 k* w* X  \8 w6 Z
  if ticks mod 5 = 0$ `7 m# T" o/ _' R1 h+ x( ]
   [ask turtles$ S+ n( D" A2 l
  [ visions ]]
" g$ n/ y0 |; ^  tick/ u- K+ w( ]3 n/ a3 R
  update-plots
, s3 L$ ~( y* f& R* Fend$ ~( Q3 X5 x7 k( b2 P; z
to visions
( J( {; E7 k. m; {: o set vision vision + 1
. ~' n9 J. q8 G0 y# w: Rend# Q  E8 ~' p! z
& h. V  G1 {( i$ u$ T" D
1 ?: b/ a' h0 f& T% N4 P4 \
2 I  A" h% _9 ~) [4 q2 _
to turn-towards-grain  ' Y' x3 i% p+ q5 L. S  J
  set heading 0( T5 M" W" t2 E1 o5 T2 S( D
  let best-direction 07 p7 }( y! W, o
  let best-amount grain-ahead
$ H7 \: X# L/ n3 w: W  set heading 90
9 r* Y8 E# v* ]  @% x( j. q7 L2 r  if (grain-ahead > best-amount)- t+ H( `( a' a* O! [
    [ set best-direction 90
* y6 E6 S' m+ e- }) }) c- L4 A      set best-amount grain-ahead ]
  |9 {" G4 @- ^2 q  set heading 180
$ Q* |. z$ X4 [* ~( C  if (grain-ahead > best-amount)
& M7 f9 V8 F5 _! U; @5 c0 \+ |    [ set best-direction 180
/ C2 @6 B. e/ E7 b3 U7 T' K      set best-amount grain-ahead ]0 ?4 n9 ?, Q/ X2 L& \' ?% ?# y
  set heading 270/ H! e' j. s3 [. W0 _: |1 j) r8 K
  if (grain-ahead > best-amount); g9 O+ g) J$ }
    [ set best-direction 270* \5 C3 q8 O$ b
      set best-amount grain-ahead ]7 z9 h4 Z6 C* V, r; S
  set heading best-direction( a" y; ^: |3 r$ A5 Z7 X
end$ n! D0 O: e7 B4 \

+ N5 @" k; I8 j7 x% s- X% G# Z
5 J; @0 n! i! A1 h$ @" c  ~, v# V: ^to-report grain-ahead  
+ R3 ~* U5 f% p; `( }7 S* n  let total 0- M' u8 n. q$ ?$ l
  let how-far 1
8 i# m" w# S$ B! D" y* t+ W  repeat vision4 m* ?/ s+ N/ f* a/ M4 S
    [ set total total + [grain-here] of patch-ahead how-far
. Q% Q& R! m* K$ G) M% Z/ j2 E( w- i      set how-far how-far + 1 ]9 M# n% v* F+ ~9 L9 d9 {" w
  report total6 i0 D& K/ `3 M4 p- D, o
end
0 D6 m" {: A' {* H* J- n; k  u9 |) N: L% @5 `8 U" o% t
to grow-grain 0 M' ]5 H, A; Y) P; z
  if (grain-here < max-grain-here)
5 M5 O( s4 U7 Z  H( r! h% ^    [ set grain-here grain-here + num-grain-grown
& A+ I0 I- b& O. h4 }: n      if (grain-here > max-grain-here)
6 v5 }) U4 S2 @; a        [ set grain-here max-grain-here ]
3 N) E2 D- L) M7 |      recolor-patch ]* {1 u. l  x# M
end
- ?+ \6 s$ j& Z. s5 _* l8 D7 nto harvest, _( z, ?1 ^5 q% F2 l
  ask turtles
8 m+ M% H# [: P+ S, S3 J) t    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]/ ?" E9 W9 |& k# A8 R) p
  ask turtles& z  L3 {* G$ s  k
    [ set grain-here 0; O9 J. B; ?2 s, r2 _6 U
      recolor-patch ]
/ L0 Z  S$ \: h1 U! J  0 ~+ R" B( D. }/ x
end
& Q8 X, R5 a6 T* F& C) U* X$ T) e) z
to move-eat-age-die  ! z2 H  c8 M0 q. `; v  i8 D8 B
  fd 1
5 i+ [9 r5 y$ B) c  set wealth (wealth - metabolism)' u2 U6 l! T% M  \- L7 H5 D% S3 R
    set age (age + 1)
) K8 ?  ~$ N# r/ j/ k( j" @" e* Z/ u  if (age >= life-expectancy)
' }  `: p$ P6 J: @, R7 v* g    [ set-initial-turtle-vars-age ]
' I# u: z0 m/ \5 M0 X; b. D  if (wealth < 0); ]4 {7 g. @+ e" s& |7 y3 N
    [ set-initial-turtle-vars-wealth ]
5 ?# ~) m  r# M# ]    3 F& Q9 B% w3 G/ Y) g
end8 h5 j1 t9 X. T% x3 ?; ~9 i" x
- |& c( A) t- t/ X. b% X- {
. {* t) s) B  ?+ t' {3 G  v: |
to setup-plots
& ?7 C9 K1 x: x- ~! N/ Y8 |  set-current-plot "Class Plot"
% U+ ^& R0 l) h  o/ H7 S& Q$ Y. G  set-plot-y-range 0 num-people
6 W$ i! W, ]1 K- \+ L  set-current-plot "Class Histogram"
. m/ K2 {) w2 O% [) _& H% d% I  set-plot-y-range 0 num-people
- a5 }( u: F! F1 h+ h3 u: r, Eend
! D1 g  i3 B. Y! |, K
# G% s- T* T4 i. k, S9 G, u" Oto update-plots8 K5 }/ O/ Z- d3 L+ o1 m
  update-class-plot
. J1 a' p( T. C" l/ |! f  update-class-histogram
0 g( d3 ?4 I. `8 G$ }; U' _  update-lorenz-and-gini-plots
" M" m; v6 F) e- |% J+ K- ^# v3 Uend
2 \% e# Z6 }4 o; y* q% C
. ~1 Z' w3 M) O9 ?8 S3 {$ o3 I/ t  Zto update-class-plot4 A1 U9 A( q( E9 q5 z. O+ G
  set-current-plot "Class Plot"5 A1 H% _6 A4 x3 E1 |( P5 @' O' s
  set-current-plot-pen "low"
# _4 O* `$ z5 a  plot count turtles with [color = red]% S& R& |* T/ n; u1 b1 I( j
  set-current-plot-pen "mid"
- H. k$ m+ T- ?% d  plot count turtles with [color = yellow]0 I7 o: |1 a5 Z2 P6 L( v
  set-current-plot-pen "up"; a" b# S% P! ^# m
  plot count turtles with [color = green]( H. l- d4 A. @% Z" K/ H" W" ^* {) n
end
6 T# ]: z3 _8 U  Q
% t  \1 ~! k# R' Ato update-class-histogram
) i0 r* E6 j8 ?2 C9 ?* G  set-current-plot "Class Histogram"
! w, a8 T" J/ z  plot-pen-reset
, J2 R1 o0 `6 _$ z! _  set-plot-pen-color red6 p4 l: f3 N$ v" V6 G! z  X
  plot count turtles with [color = red]
" s1 Q$ D8 Q, C7 M: ~  set-plot-pen-color yellow- k% k) n' p4 O8 o  a/ m* z, L0 u
  plot count turtles with [color = yellow]% F1 k; u7 X  S, p1 ~' z4 _
  set-plot-pen-color green( }1 [% w  q8 n* }. C% ^
  plot count turtles with [color = green]
* i0 d6 y6 U+ j. g$ a; w: Cend
, T- X: Y. f) bto update-lorenz-and-gini-plots
3 D! q) r! c9 n, q( V8 K  set-current-plot "Lorenz Curve"
) T. {) E! `/ i* v$ a" y" {  clear-plot! ~$ N0 y0 n# z) _- j% N6 j# i8 W
( r1 o+ \6 }8 q* H- K' a
  set-current-plot-pen "equal"6 w0 q! @! E2 I( [
  plot 02 X& c* ]% H0 G  `. M, B# c
  plot 100
2 }+ s4 T7 W* U, u2 m( t2 A) c. a& X8 G1 C( a
  set-current-plot-pen "lorenz"- H& B( X' x1 U+ a
  set-plot-pen-interval 100 / num-people1 Z  a5 N! ^! R
  plot 0
; _3 q  g7 {6 }) T: M) F' m* F. G+ X# |
  let sorted-wealths sort [wealth] of turtles. S, f+ ~6 {# k/ U& l
  let total-wealth sum sorted-wealths
8 a' D/ J% c% y2 i  let wealth-sum-so-far 0
& B% j3 {" Y" t* d: `) U8 s: y6 c  let index 0$ k( k2 m0 q+ W- W% @7 U! `
  let gini-index-reserve 0! {& O3 D4 b! c" d
3 B* X; t+ |* _# k# Y
  repeat num-people [
6 G/ Q; \! q2 _0 g    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)" @! |5 S' _# m% |1 v" E! w
    plot (wealth-sum-so-far / total-wealth) * 100
9 f6 T" x; j6 u1 q    set index (index + 1)5 c' b* `6 `- @( U1 ~
    set gini-index-reserve* V6 P1 v9 B) A2 _6 u- f
      gini-index-reserve +
" w3 E% o2 t  q. Z" m% j7 ]8 B      (index / num-people) -
# t6 K& q2 d4 d      (wealth-sum-so-far / total-wealth)
* d1 M  `9 S8 `; w/ r: I  ]
0 l. O' f7 t5 h/ t5 H: C0 c$ ~( e: d) v. j: ?
  set-current-plot "Gini-Index v. Time"
  [( [* U/ o( ~2 Q  plot (gini-index-reserve / num-people) / area-of-equality-triangle/ q/ e+ _! U/ |. t
end% h' o: x$ T( f2 U& m0 v
to-report area-of-equality-triangle/ @# _$ z$ @0 A& H: r* a3 U5 v& d
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)6 u9 _% n( _* l; D# \; t) p/ m
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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