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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
( r, |( h9 F. a" aglobals3 d2 n/ M9 t1 V% Q. Z4 g* @
[5 e( @7 p8 F" p8 ~2 |
  max-grain   
! h, N4 i% h5 x9 s  _+ q! |1 i& O2 Y2 k/ _+ Y1 f9 S9 c
]
. H8 Q2 S# F* v: ?5 O$ c- K
' e/ ?/ N5 r: \3 A5 N7 qpatches-own9 S! \0 y& b7 S$ ~9 t
[' F  m3 o+ \. \' j* T+ H
  grain-here      ! W* G  I: U9 J. b5 t
  max-grain-here  
7 i4 D1 v3 Y( \: @5 K$ k* i% [7 e]- h% F9 ?& Q4 [% h( |) W8 Q
" C7 ^2 c5 P/ |# S1 b
turtles-own! c: i, c1 X+ }
[
- u  ]5 h& f0 u+ |6 D( Q  age              
$ ~  d1 S6 y7 L3 [. x  wealth         
0 N8 k9 D- h3 |' W& i8 d  life-expectancy  1 D& k! X2 @. r. L; a" ~; x
  metabolism      
: B1 f7 F1 r/ F$ P3 Y% G5 Y4 {7 f  vision
  E. D  {$ k9 A) @8 e  inherited         1 _, j8 B' L  Y" c/ V: N
]
/ G, D' j" A; B+ ]) x! A7 n+ F3 j
. f! d' B; P6 U+ u" C
# T* B) c$ Z/ Mto setup
& E; W1 G& U3 k; K0 N; i6 E  ca
" O+ V2 c& o3 W  k- v  set max-grain 50% h+ h* X) t* c' `0 U) f3 C1 P
  setup-patches
% {  x3 Q' a5 V; F$ a  setup-turtles9 q) ?& d* q% u0 b" I; I1 m1 x
  setup-plots2 w) ?: W& i1 L
  update-plots
/ t( n1 ]% l6 T/ H, p& vend
1 U- d8 h. N* z& Z/ Gto setup-patches. W. {9 z! {& b% ?# ^: X
  ask patches; C5 y" K+ U9 |% K
    [ set max-grain-here 0( W, {& }" p* S0 l1 X
      if (random-float 100.0) <= percent-best-land
+ b/ t) r& `+ _$ U        [ set max-grain-here max-grain1 s. j" w/ M# m/ m7 I1 u
          set grain-here max-grain-here ] ]
- w: X! D( T7 l. f8 ^3 U  repeat 5
( R: {. C! v$ S, Q9 \- ?! R    [ ask patches with [max-grain-here != 0]+ F' O$ Y  i& ^3 c+ o
        [ set grain-here max-grain-here ]
( n- h0 K+ d+ p% ^! Y! N4 j" V      diffuse grain-here 0.5 ]! [( ?+ G2 v# D: m" w
  repeat 10. ^# W  m/ ]$ F( [. ?; }
    [ diffuse grain-here 0.5]         
0 y3 d5 N2 Y' d$ a4 \( g0 @  ask patches6 I( M4 P0 S# a: T
    [ set grain-here floor grain-here   
( X2 ?$ Q' R* A# O# D+ a2 X& X      set max-grain-here grain-here      
! J7 p0 q2 G- k      recolor-patch ]
- j& [- \7 I9 [' `; P) j" hend
) r1 O8 z5 Y* f6 U; P% {6 k/ {: jto recolor-patch  
* e3 @4 D$ Y, g& b" [. Q+ F  set pcolor scale-color sky grain-here 0 max-grain
) J9 C* m! g# D( cend
( r1 F0 j. e  ?* Q' }to setup-turtles
" m& y. ]  M; j7 _( `0 `7 w  set-default-shape turtles "person"
8 f* q' y- y, \3 [( Q% H  crt num-people
, E9 P  x; i' ^    [ move-to one-of patches  
; {0 n7 {7 ?* n+ R      set size 1.5  6 y! Y4 z9 u3 Y. C
      set-initial-turtle-vars-age
- O. d2 C* D2 N- [      set-initial-turtle-vars-wealth
1 Q$ w0 ]( u0 \' _3 k) e      set age random life-expectancy ]% h* x* y  f0 `( r9 C6 {$ n& ?: O
  recolor-turtles
, b4 }; y! A1 m# Xend: {% ?% G0 a+ q/ V  i

4 C* o0 k, K1 H1 M& n. B" ]to set-initial-turtle-vars-age0 t/ P8 I/ p' C2 C+ c1 w
let max-wealth max [wealth] of turtles  @) [1 L* f; {& L' x4 z4 P
    - ~3 r# D( P7 r$ d: a; \) Z
     ifelse (wealth <= max-wealth / 3)
6 g9 t; b! t! G" W! P        [ set color red
! [1 ]2 Q+ i3 w* `: e. s          set age 0+ z& _5 I/ H. `
          face one-of neighbors4
( U. G8 O4 f8 d. R( f          set life-expectancy life-expectancy-min +* `5 k8 f" L" `7 U& b- k  h
                        random life-expectancy-max   a7 k# ^* f# V4 ^4 e
          set metabolism random 1 + metabolism-low" Y7 y7 O/ `0 N! Z+ r) C
          set wealth metabolism + random 30- P6 A% t0 M8 U
          set vision 1 + random max-vision
/ A9 s, B" d" {! f+ y& E             set wealth  wealth +  Wealth-inherited-low ]
% \# @/ L3 _  m+ O2 z        [ ifelse (wealth <= (max-wealth * 2 / 3))
: i. \! `  w- u$ |' b% z7 m            [ set color yellow
* v' j: ~7 @, V% S+ H. y              set age 0
& i7 u. Z4 p; y: d$ U4 o              face one-of neighbors4 ; Q% G  d) X8 m5 l* e
              set life-expectancy life-expectancy-min +% Y& |% h$ }" m2 N& h' p1 R
                        random life-expectancy-max + 1
* Y- e# A8 v3 ]+ \* L, P4 H+ [              set metabolism  1 + random metabolism-mid7 A$ @# X; a9 n! a
              set wealth metabolism + random 30* Y' j9 u( }8 C  [! W# r7 k
              set vision 3 + random max-vision  a3 B$ c1 g  }+ M$ p+ y
                set wealth  wealth + Wealth-inherited-mid]6 t' e( p5 Z6 P) y" j/ {
            [ set color green   r% a! p, x+ k! C2 W2 C: B/ M
              set age 0
+ y1 g: H. w- p! [$ b3 Z/ L              face one-of neighbors4 7 s! k8 Z5 B2 k, D5 O# y# T
              set life-expectancy life-expectancy-min +
2 B' j! d/ M  ~: c. n- [& r# M                        random life-expectancy-max  + 2  k2 M! A, f% O. i- W
              set metabolism 2 + random metabolism-up
0 X1 U" T: e8 X6 a              set wealth metabolism + random 30
) j9 a# k6 G, J0 o, b8 j$ r* b7 `% B              set vision 3 + random max-vision
+ S* Z# |0 o# i8 I/ r) ?5 D: q              set wealth  wealth + Wealth-inherited-up ] ] ! ^# W8 W4 Q2 e3 I( {2 _

* @+ ?  B2 J" l9 J' i2 @end
: D. n+ @8 V& ]to set-initial-turtle-vars-wealth
7 t& T& g) ?" { let max-wealth max [wealth] of turtles
3 @- H: N; R6 X4 \; z          set age 0
$ l6 R8 `8 T. u9 _2 p" [          face one-of neighbors4 + i& }2 F' E7 T1 F: y
          set life-expectancy life-expectancy-min +
$ H" ^$ _* c4 Z0 T+ W                        random life-expectancy-max
) n0 ~6 A2 C2 s; q5 T& `- O$ t          set metabolism 1 + random metabolism-up( t  a3 T+ [, G4 W
          set wealth metabolism + random 30% F- S" }' @* d$ |& q0 z  c
          set vision 1 + random max-vision , i+ e5 Q7 |2 n5 e, p2 r5 y( [
end- c. @8 E' r2 k: A' S
to redistribution7 R$ p+ c6 v0 {& \& i
let max-wealth max [wealth] of turtles& ]( N5 V  l0 L) a) h* `/ @
let min-wealth min [wealth] of turtles
' o+ s' _1 S& L) ?0 Jif (wealth <= max-wealth / 3)
0 G8 j3 m: Y4 e7 Q, Y [set wealth  wealth + Low-income-protection ]+ |' j2 G5 h3 p
end
( n; y" u$ g8 }6 b) {$ S& x         
7 n8 ]! F) |$ S2 ~to recolor-turtles% K  ?$ m$ c2 c3 O; [0 T7 b8 z
  let max-wealth max [wealth] of turtles5 r1 k  v* [. I0 k
  ask turtles' R. r$ B3 b9 ^* W% h5 W+ T
   [ ifelse (wealth <= max-wealth / 3)
5 Y( r6 [5 |  L* r" E5 `        [ set color red ]
( F. Z: m+ R* |. ]1 R        [ ifelse (wealth <= (max-wealth * 2 / 3))
1 S4 X3 z# [" ~9 i+ ?, F* |* c            [ set color yellow ]
0 U0 s  j. Y' w, I, a* W! Z            [ set color green ] ] ]
7 \! Z" d, _/ P/ R9 N$ f ask turtles [ifelse show-wealth?% Z5 ]' U# K( o9 f9 v. b2 f) Y2 O
    [ set label wealth ]1 I" b5 x5 G% I
    [ set label "" ]]# c3 V: z8 v( P& q- C, h# e- d0 x$ b
end
' H: {9 g/ z. y( H( O  N5 k* t( l! g3 q9 L  Z. [. {' Z
to go
2 Z+ ~' K3 I/ s  ask turtles
# c+ k' n' ~# x9 ~* |3 M' R6 L8 z" S. D, z    [ turn-towards-grain ]  
2 p: u& y8 E7 z6 a  harvest
/ l  q) R9 T1 x4 i) F  ask turtles$ W: b0 P1 s5 s  @2 L
    [ move-eat-age-die ]
% h& D/ V! F7 L" y  recolor-turtles7 r0 X4 }/ z, s) @3 V! L# m
  if ticks mod grain-growth-interval = 0" Y6 x& U6 T4 L, I
    [ ask patches [ grow-grain ] ]
% d1 u; w% z* A' ~4 Q   7 v# H4 A4 y+ m# a- n
  if ticks mod 11 = 0' J1 B% \6 T9 c2 @4 e7 B, F
  [ask turtles: T7 S& C2 X3 I" E
  [ redistribution ]]2 ]1 P; q) L6 u. P) v
  if ticks mod 5 = 0) {8 u: j) F: Z$ W
   [ask turtles! `, k+ k0 \( H: T
  [ visions ]]
1 R- W0 T, W# C, E5 \  tick
( F$ R8 C2 v- }8 g  update-plots
/ |/ w( A, _8 q( z* b; Wend% ]% B3 j& J( J
to visions
6 [" D$ `& o4 w" G set vision vision + 1
; N: N, _: _) Tend
2 A5 F5 B2 W, |  r5 \% q5 L7 j
) q) X& ~" L8 ?% I6 G
. R7 k1 x$ y4 Z6 \0 ~% v( V
. x: b+ l3 D/ o, uto turn-towards-grain  
! W- e6 u( y0 C  set heading 0
5 h3 g2 F( D6 q  let best-direction 09 i9 A4 ^* @/ ^- T0 _2 ?6 r' C
  let best-amount grain-ahead3 X8 x- _7 N( F
  set heading 90
6 Q8 |# I7 j/ ?6 ]  if (grain-ahead > best-amount)
1 F" _! c% K# O    [ set best-direction 90) m- w9 j" l  H/ I
      set best-amount grain-ahead ]
/ o* a4 Y! \) T6 E" K& m9 I  set heading 1802 J8 \6 P1 `: ]! M4 x5 [
  if (grain-ahead > best-amount)* i' E6 H- r9 ?) m+ p
    [ set best-direction 180
+ y2 f2 v$ O; k- P      set best-amount grain-ahead ]8 ^/ w& h- f6 ~' j/ Z
  set heading 2705 N! C3 W& ^* [% R! B3 b
  if (grain-ahead > best-amount)
9 q5 m# Y$ w6 u$ J3 R    [ set best-direction 270: W( s8 q" F! ^% G3 `
      set best-amount grain-ahead ]
- w7 X1 O  _% ~7 Q; t  set heading best-direction7 M7 l& c9 [+ J7 q1 H9 Y* m6 t4 r
end
. b6 |8 Q/ j2 Y3 T
; |- `# ?0 r3 ?6 N0 H4 B0 h
4 |& z. g9 j. `0 p% p* }to-report grain-ahead  ; I. W2 H, d. A5 A
  let total 0
, P( f8 V7 [7 f) y: c& n0 o) p# i2 b, G  let how-far 1
9 ~* s" e) {5 ]3 K  repeat vision
* q1 z7 C9 m+ x. w& O1 Z0 a" R! A3 `    [ set total total + [grain-here] of patch-ahead how-far0 m# i7 m6 x( x8 @
      set how-far how-far + 1 ]- k7 i& I1 Z! }; k5 b) c/ H
  report total) j1 }* z% P  ~2 n" D
end& R( k7 a' b2 W; |+ s" u
$ O8 u) ?6 b' E: {
to grow-grain
8 H% {) v+ e7 c1 `" r: c  if (grain-here < max-grain-here)
8 k+ J" _, N# F4 I2 Y    [ set grain-here grain-here + num-grain-grown" Q# H, k; F: z
      if (grain-here > max-grain-here)
, G0 L1 m+ V9 m' ^- @; {/ F        [ set grain-here max-grain-here ]
1 l9 Y# Q; t; W0 b      recolor-patch ]
( W. ]( ^, M7 p3 Q* g- iend5 j' ~, r# l  x4 e7 j8 {
to harvest
9 W! H8 i& K; }- t! N  ask turtles* |) Q5 a4 q7 l* a9 {- M
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]" D; j. [9 F$ i4 I+ V1 Q; L
  ask turtles
0 {' @: L2 X6 W3 ?    [ set grain-here 07 W1 b; i* U$ K* W- e+ H0 C
      recolor-patch ]/ s& e# |" R  ~& s4 R  Q" u
  6 X2 q6 k8 e+ ?' q, \
end" \$ X9 p5 H0 @" |: z
. ?' E$ H+ L) J9 z
to move-eat-age-die  
7 ]8 B& F5 a- U" W2 W& y2 P* n% h2 r  fd 1( A  Q/ {9 z/ e$ E6 v
  set wealth (wealth - metabolism)
0 j  Q/ \# I! S* [# B9 V) {    set age (age + 1)- w- I* m; P/ J! }6 i! c  M2 {
  if (age >= life-expectancy)
+ b' _% u* w5 `" r, {7 O, {    [ set-initial-turtle-vars-age ]
: Z$ T' `, y- t' H& C4 [  if (wealth < 0)1 L! Z3 ~1 U# W
    [ set-initial-turtle-vars-wealth ]' x$ l* e  T- T- n
   
, ^" c3 u4 S4 t4 H) @! b1 j7 s2 i; ]end
5 }# m1 C5 Q9 ]5 I2 [
* N- v' z! Z% z7 A
" Y; W- D6 O6 A: t! I3 y5 |# ?9 _' L4 Ato setup-plots
# w: i! ~8 ^0 v, X  set-current-plot "Class Plot"9 q' S; W( Y! s5 ^$ ^% t# U
  set-plot-y-range 0 num-people
: ?) f6 g$ ?) T- ^/ g- [& O. f  set-current-plot "Class Histogram"* ?. M7 \# F- Y; f5 K. [
  set-plot-y-range 0 num-people
9 u8 J4 I& g8 k1 }* Fend3 `) K4 t- n! x; Y

' {7 Y' e  b6 x: Y/ Y' x, nto update-plots
9 q1 Q. u! Y  u( b) n( @  update-class-plot
! E" I* K$ O# Y  update-class-histogram1 E- V2 Z$ T# z2 d* U' M/ M
  update-lorenz-and-gini-plots
: w) x! K6 t, b" Xend9 R! c+ E' j) F1 I; a
4 Z, Q3 S/ D+ ~, b. [
to update-class-plot
/ Q+ M$ u* j# b# e3 b& N* J  set-current-plot "Class Plot"
! }- e, ?, v  I2 c9 y- j  set-current-plot-pen "low"
, Y9 [% s( f. `( s  Z" ~8 U  R7 K  plot count turtles with [color = red]2 b* G' Q8 E* F1 x! `
  set-current-plot-pen "mid"  |; r6 ~. z- H. K
  plot count turtles with [color = yellow]
, f  E7 u+ T: `  q( i8 @  set-current-plot-pen "up"% }  j% t  v1 Z& H' q, {& Q+ d
  plot count turtles with [color = green]7 P  A; g% {# D, r" E* \$ m7 j
end
9 a' f8 [$ Q0 R1 Y9 n2 Q& J* i. z' S: a+ c  j1 f
to update-class-histogram
0 Y; H2 ^  b2 n3 c  set-current-plot "Class Histogram"
1 h9 p6 l0 G  l( v  plot-pen-reset, I$ ^. ]% F" K+ d
  set-plot-pen-color red% q5 m6 j0 \: V
  plot count turtles with [color = red]
- b  L2 J  q$ V  set-plot-pen-color yellow
; }. J2 R5 e% l1 F+ u  plot count turtles with [color = yellow]1 O0 `& ^1 f% P$ b1 t
  set-plot-pen-color green
: h3 ~# ?# G6 H; e) m. D5 E  plot count turtles with [color = green]6 O, q$ s# i& y2 ^% ]
end
+ _+ @" [6 X% m( e4 U+ T* @- x' Fto update-lorenz-and-gini-plots" g$ q. m* ^6 v$ t' O
  set-current-plot "Lorenz Curve"% W: \  P* u4 a
  clear-plot$ s9 w* Z. v4 g. R7 F8 q
) g; m  f6 K+ r$ y
  set-current-plot-pen "equal"8 P& D( j5 z4 B1 p+ C* o8 l
  plot 09 J+ d2 }) @4 S8 B' [0 `/ X1 [0 q
  plot 100) [  H. h3 ?/ T

( r( ?: s/ d1 ^% v- \  set-current-plot-pen "lorenz"2 T8 U7 b) g: u
  set-plot-pen-interval 100 / num-people0 N  U2 X& V$ L/ G3 }
  plot 0
+ b2 O, U/ N, T( \- ?
8 I5 q! m) ?- e/ ]1 A  let sorted-wealths sort [wealth] of turtles& _7 n4 L% C/ {8 K+ C& M
  let total-wealth sum sorted-wealths
) ]' D% ?; M! n) j* V0 s  let wealth-sum-so-far 0
7 D$ Y6 |$ c  Q- |5 n$ w8 a/ F  let index 05 h! U0 {$ y7 g9 X8 w
  let gini-index-reserve 0! B2 K  T: u/ v3 R7 j

9 a3 O! U  @9 @( p7 u  repeat num-people [. T9 D5 @: p9 `% r- q. c$ E
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths), {$ s2 \% F  B7 z5 M. Y4 c5 d0 a
    plot (wealth-sum-so-far / total-wealth) * 100
+ J8 f$ K+ F8 \1 F    set index (index + 1)
; P- a9 i  O/ j    set gini-index-reserve9 V0 Q& M3 v0 T4 i# d
      gini-index-reserve +/ J, R8 W6 \9 [* n4 ~1 S* g) O
      (index / num-people) -
, f9 r3 S' Y2 U0 N" R+ g      (wealth-sum-so-far / total-wealth)
6 h1 t' B, g( `* q  ]& T! \( \9 }  o3 }! e' R
; t8 w4 B2 M4 N
  set-current-plot "Gini-Index v. Time"1 ]* @' c" L1 G. {9 }% h" `3 y
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
# S( A4 W* I% l  Z/ Aend
' b( \& {+ I* L2 d8 X- ~  Nto-report area-of-equality-triangle" H; s# n3 r" y! g
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
4 g* t. [5 g9 N3 l8 p0 W: ?# u$ R& iend
 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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