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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) N. {9 n7 F% i! b& c
globals- f6 ~- {' A2 @( x" l2 {+ v, c1 n
[; `9 u! z% {5 R
  max-grain    % R( g& V- O' K: E  I: z0 p

9 h# S; @( I* Q/ ?% B: H& {: A0 }]" ^/ Z+ w+ k, n" N3 E1 \! ?
% Q7 q7 t9 z- w6 D, ^+ i3 k, e
patches-own( {0 [3 b5 H, o! k! B
[" c% F5 N- \. {
  grain-here      " S, y; n7 c3 f6 U5 |4 X: X
  max-grain-here  
$ c5 ?1 T! k/ A% b- B: `7 j, H]5 q6 ~# U. `+ `  K- U

' ?9 Z  t8 D- m2 gturtles-own# c- A4 M8 O/ _  v* o/ q
[
1 V( q$ }; S- R& p2 t4 e* G) v* n; @  age              
: j& r( c# G% B7 j0 u  wealth         
" S% u( t% M0 l$ r# J' L" A$ _& [: L  life-expectancy  
. m' i0 Q  C2 \  metabolism       8 L) K+ s7 ^/ X) o* a
  vision
. O( z& c6 Z. O$ }3 E/ ~6 s9 M3 Q  inherited         
9 v7 K# l, u% w: M]
. c0 z7 ^" S( E: s
( }" D- b0 e4 G& j0 O* t$ R! z3 I& w0 V5 l5 g/ z0 y, ^
to setup. _2 ~3 {9 g* w, t* _
  ca
# |. B) ^. d. g8 y2 Q+ p( o% f& ^  set max-grain 50
, |5 Q3 {. }9 R4 [  setup-patches
" b. I: P3 \4 O$ m8 ]  setup-turtles4 g7 X2 r* z, {( {. D( B
  setup-plots
2 L+ V# ^8 w! Y- j, a) N  update-plots
: V* B; a$ D' f1 u% Q2 v9 wend" x. d& y0 M; ?2 U: Y
to setup-patches
# B8 Z) H" l+ d1 \  ask patches! ?+ o1 D, r1 Z7 r/ P% e0 o
    [ set max-grain-here 00 L- L4 I% u4 }( y
      if (random-float 100.0) <= percent-best-land$ ?6 r+ ^& J: M1 K1 O3 r
        [ set max-grain-here max-grain, |0 w/ z" O6 Q0 e1 l9 w
          set grain-here max-grain-here ] ]
4 X! ^& y8 o6 x/ d( F  repeat 5
. O5 _" F: M  j) o" G2 j/ X    [ ask patches with [max-grain-here != 0]; v, q- B" ]5 H2 Z" m; O; h5 V# b
        [ set grain-here max-grain-here ]1 L! W9 o- Y( ~9 e" l; e8 O2 r
      diffuse grain-here 0.5 ]. f" E- c6 G. x
  repeat 108 q" v. `/ O8 k$ U2 d& Z9 X
    [ diffuse grain-here 0.5]         
/ [0 ?8 }8 F0 e* x: D" n0 u3 M# U  ask patches. O/ ^* w- g9 z8 F/ u
    [ set grain-here floor grain-here    : r- H  z& q6 d1 U6 |- c) i
      set max-grain-here grain-here      
( d& Q( F' o5 F' i8 ]& j# w  n      recolor-patch ]
8 K5 g- ?/ ?$ b4 v: _, xend& o; |' W4 E& M" X6 M
to recolor-patch  3 {/ J8 ~( l" u# P! d( z
  set pcolor scale-color sky grain-here 0 max-grain
( b' w* O: k$ ~/ ?  v- N" _end1 I+ S9 K& w9 _/ n- a* [8 v
to setup-turtles
" N6 K& g+ b4 _  set-default-shape turtles "person"* S6 c6 o) P5 P# W/ x$ S
  crt num-people
# j! J" H6 x3 v/ ~/ j, X9 D: Y    [ move-to one-of patches  4 y; e, }' \) @
      set size 1.5  
! s: W3 k" Y- @6 t5 G* }      set-initial-turtle-vars-age
: o2 ^, C8 _' {' \' i) Y& J2 e      set-initial-turtle-vars-wealth
" ~0 y% G( j! c9 z) [- l      set age random life-expectancy ]! H2 B% w0 R. R& j* T$ W
  recolor-turtles
1 R2 u: c, ?9 c; O1 d" C% \! ~, fend
. D/ z) a+ g, o8 `. v" g9 S  Y  W8 ~/ p% u/ h" i
to set-initial-turtle-vars-age! G5 S: k% W5 S. p3 N8 n7 S2 Y
let max-wealth max [wealth] of turtles
9 |8 @  L6 }1 T6 I! R6 M    + i- ?# R& I5 L; I. V# Q
     ifelse (wealth <= max-wealth / 3)# @3 ?. K  H( N+ Z
        [ set color red
4 Y9 _4 y. b' m3 {. N3 L6 I" B          set age 0, U1 N7 G  B, P' h; u1 c0 N) [9 }
          face one-of neighbors4
! w3 ]% @/ n" l          set life-expectancy life-expectancy-min +- c$ |( X& ^& N) W, K
                        random life-expectancy-max
7 r! n( v' r7 S          set metabolism random 1 + metabolism-low
% C4 i. B- {7 o2 H/ P          set wealth metabolism + random 307 M4 z0 p' g* K( A0 z
          set vision 1 + random max-vision. ^7 c; J* G2 {0 s5 }
             set wealth  wealth +  Wealth-inherited-low ]  h  t" f! h- f) s# b& A. ^
        [ ifelse (wealth <= (max-wealth * 2 / 3))1 q8 g- O) C# O* D3 p
            [ set color yellow
; y. o8 `! a! f7 X+ M- h1 W              set age 0
: V) i9 k/ r8 {4 }/ D              face one-of neighbors4 8 E8 G2 q, U: h5 Z+ V% ?# l
              set life-expectancy life-expectancy-min +
' w9 E6 w+ q8 h% Q8 L) j                        random life-expectancy-max + 1
  j; Z; h+ j5 }7 J& w% T              set metabolism  1 + random metabolism-mid
; ]; P" b0 e3 a0 h/ t1 L              set wealth metabolism + random 30" @9 p! |4 o7 q6 Q3 i
              set vision 3 + random max-vision' [! f/ a- U) C, N5 ?8 T
                set wealth  wealth + Wealth-inherited-mid]
3 U1 a1 n4 C- Z) ]7 i7 W            [ set color green
9 n0 J, Q# F: Q6 @$ _" v( [              set age 0) c2 h: \: V- E0 X2 Y% S
              face one-of neighbors4 / S. R7 ]) _8 i; _" @( b) w
              set life-expectancy life-expectancy-min +- x/ j4 H( g4 I% S/ F
                        random life-expectancy-max  + 22 Q( x, B0 _1 L+ O- v/ k# C% J2 K
              set metabolism 2 + random metabolism-up
3 N# X- g* C& R+ g. t0 g              set wealth metabolism + random 30
+ M2 Q' O! s' `              set vision 3 + random max-vision4 X/ M; V! ?, T
              set wealth  wealth + Wealth-inherited-up ] ] 8 O* M6 V  h* f) S% ^$ Y. P( g

9 k' l. m  ^& ]4 h9 Hend  T) s" |7 m8 q# ~
to set-initial-turtle-vars-wealth* ?' ?: \9 j& ]. s5 E
let max-wealth max [wealth] of turtles% J! K% Z8 S. j1 R( c5 ]( P
          set age 05 S3 ]& s1 @  m4 O5 I# \: e
          face one-of neighbors4 " U  @9 R* |3 Z8 J' {
          set life-expectancy life-expectancy-min +
) g% W+ g# F! R2 m. n* x                        random life-expectancy-max
! `( g+ J3 m: g  o0 w: M# O& ~          set metabolism 1 + random metabolism-up$ @6 r. T( J* `6 a  \/ e- q
          set wealth metabolism + random 30( u0 r) Q1 H: p6 |( E# N; u
          set vision 1 + random max-vision
$ Q5 i+ @1 Q( G6 I! [- |& dend8 \2 d- R7 b5 ]1 I6 y
to redistribution
, I  o. B  \" q/ ?let max-wealth max [wealth] of turtles
, [8 X/ B9 ~' D( n1 Elet min-wealth min [wealth] of turtles; V! y, n2 y5 I% C; I' L
if (wealth <= max-wealth / 3)
# Y9 Q6 Y7 l% z. j [set wealth  wealth + Low-income-protection ]
/ C! c- f7 J' T6 q2 gend- j5 t. Z  N8 N4 z
         
* a$ J! f" O  M; X# R. gto recolor-turtles' b& D! h: }( g
  let max-wealth max [wealth] of turtles4 z2 ]4 b: X' F  R  R
  ask turtles
7 |" q  r2 X2 X$ m4 Z   [ ifelse (wealth <= max-wealth / 3)
' Y5 H0 W4 \" ]$ }2 Z        [ set color red ]
& T9 ?; e9 a; g1 `! T* i4 C9 q        [ ifelse (wealth <= (max-wealth * 2 / 3))
& M) f4 p( H# B( h4 ?: ~2 X" \            [ set color yellow ]
- l  i; x( l* c9 X8 J- T) o            [ set color green ] ] ]
7 z9 H1 s5 O( y: D4 | ask turtles [ifelse show-wealth?
9 J- k% [3 J7 L" C" X    [ set label wealth ]- g* s: ~- N" L4 _+ g' z5 j0 u. d" P
    [ set label "" ]]
2 t" O$ ~2 g" _  ^  ?/ @end2 q+ J6 Z  S6 m; o

6 J, \* j% F- I4 f3 `, d5 e3 xto go
; v- U) H9 ~! W' _2 g8 M( R  ask turtles
2 t; u5 D" j* R9 ?    [ turn-towards-grain ]  5 }& s, Q2 L5 A
  harvest
- h5 X1 K6 E) ~6 h/ |  ask turtles
6 _5 T& \$ Y2 l5 P0 K    [ move-eat-age-die ]
) }' L7 @" k& A) T0 m  recolor-turtles
# P6 z0 w3 @4 q; u# O6 _/ G3 P( g  if ticks mod grain-growth-interval = 0
: }) X2 y! k0 Y0 ~( I    [ ask patches [ grow-grain ] ]* U1 ?2 `! P0 i7 F
   
- [3 y; C& ~% ]. s# g) [: Q  if ticks mod 11 = 06 W* O: f9 ?1 D0 U+ F5 n" R3 f
  [ask turtles) C+ @9 {9 ~; }# C! W
  [ redistribution ]]
4 Q' u: M! D% A! J4 y3 M  if ticks mod 5 = 0
' H. e* d; F, v   [ask turtles
; a+ E" y$ k( S$ N# S; E$ s  [ visions ]]- V9 z( C; }( }
  tick/ z# U9 J3 F% u8 T3 E
  update-plots
. V% Y! X$ G0 F6 A+ f2 c% Eend7 @7 D/ Y+ j8 G+ E& a
to visions8 Z! I& q9 L1 x8 T' }
set vision vision + 1 1 u% u( Z4 S9 b# K2 g) d" ?
end4 U' h* u: q4 i  u  h+ k$ ^+ i

& o' R8 o9 _/ E9 S
+ X2 u' b/ o: v; x. G: J
. ]* A, |- X! Q$ O. ?" f: g. T9 gto turn-towards-grain  
! v6 C+ e, C7 G9 T  set heading 0
1 L7 T% h% }" t6 N  let best-direction 0/ i5 S, @- r+ ?* L( P) h
  let best-amount grain-ahead
$ d. v5 ]% n6 W9 `6 k# Z  set heading 90
; Q+ {  X9 b7 o  if (grain-ahead > best-amount)
( ?6 _8 s4 |7 _* K5 L7 J9 T    [ set best-direction 905 v. t6 D! W6 e& M1 z
      set best-amount grain-ahead ]
) ^& G( F8 {0 D  set heading 180
+ b* }  K0 S# p4 F  if (grain-ahead > best-amount)# v, x: ?" ~% M) _, A1 p
    [ set best-direction 180
) z  ?! _6 |* A# U      set best-amount grain-ahead ]* a# `" i" t2 E" Z+ j* `
  set heading 270
0 P& `5 X9 H! C0 Z  if (grain-ahead > best-amount)
  {1 y# o8 I1 j6 M* \3 y2 k    [ set best-direction 270
& o' J& h# Q, P$ q6 a      set best-amount grain-ahead ]6 p$ {4 |, v  l+ ?$ f; ]: m* Z+ d
  set heading best-direction5 E6 ^+ A( C7 G* q3 _/ m
end* B! m3 F& m  a6 e( y, w, S) F
) M6 {- e+ U9 Q4 T* X% V6 `' u  O

% X, A( j' c* p0 \' T* ]3 v) ?- zto-report grain-ahead  
. o& `4 o& x/ e- k, k- V& ~  let total 0
2 |  l1 r3 v4 j: `7 H( G. A! e. H: ^  let how-far 14 r' O+ {1 q: b! S6 t- @
  repeat vision3 H% a8 f* l; C- B, O+ U3 m
    [ set total total + [grain-here] of patch-ahead how-far9 _$ K; n1 N& d; u3 D+ u0 _
      set how-far how-far + 1 ]5 Q8 X0 J5 ~) B" j& U8 H; G
  report total
1 L* ~  K" N& {; \: ]+ l- pend
8 [# c' U; [; ]! D7 l  P# p/ R
) Y5 }1 T. j( W# V) B/ F5 kto grow-grain 0 d; ?& N2 F) @% U& ^4 P; [
  if (grain-here < max-grain-here)
: L9 H/ V# u2 u* D) t0 R/ O    [ set grain-here grain-here + num-grain-grown* b  T2 J- P# Q  C9 C- b, A
      if (grain-here > max-grain-here) % J* Z% B+ P4 t: [
        [ set grain-here max-grain-here ]
5 Y! S; i8 F3 v      recolor-patch ]0 ~+ o$ }% F! A0 O
end
1 @5 H6 ~9 l5 H- C0 I9 Jto harvest
2 a) d+ N( t) Z; z) L$ G$ a0 g  ask turtles9 \/ _0 [& R- N, V# Y" U! J9 b' u
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]  y' k  ]1 Q% s0 ]7 @* n
  ask turtles* L; N: t' P' [8 o
    [ set grain-here 0
. [6 A, T5 ?# _  H4 n  c( p" `/ V) d      recolor-patch ]
5 W4 U! Q- d# {2 ~  % r# y- O" u1 D3 }
end) a. e" ~7 g: U2 _4 C9 n! U+ z

' F( E/ ~( \. P" s; T' xto move-eat-age-die  
7 \/ ^/ |* G& W: G- c  fd 1! A6 i4 n2 f, M
  set wealth (wealth - metabolism)
! s- W7 |( X. k9 `    set age (age + 1)6 p) Y( z# ]2 H. s9 @# \: a, ~
  if (age >= life-expectancy)2 H1 [5 U5 x( [; l
    [ set-initial-turtle-vars-age ]5 T) Y9 i  ~1 p3 m0 V- _
  if (wealth < 0)- G5 Y" N* _5 k. r% N
    [ set-initial-turtle-vars-wealth ]
- H* ^: J9 S! E  A   
1 P$ W% D+ s9 x- f. L8 K' aend- T9 V6 B& G  G" v
  b4 I8 d3 D0 J& p+ u

9 d2 V2 Y( C8 Fto setup-plots8 {  h3 j4 ^4 ~
  set-current-plot "Class Plot"
9 |4 Z  }, s* J7 |: o  set-plot-y-range 0 num-people
6 o$ a, _% B4 @0 @  t9 j1 A  set-current-plot "Class Histogram"- b) a, f" d! n' {: h
  set-plot-y-range 0 num-people: w; y2 z  G6 ^2 ?  V; r; H3 }# L
end
5 T8 P  A' G7 ^1 K4 d
' V- ~/ Q+ y2 ?8 O& Y6 oto update-plots
) v* o* r0 Z* ^+ Y# e2 G8 k6 J  update-class-plot& G$ A/ r% _4 ?6 _" j" E
  update-class-histogram/ V# v3 v. A6 C% J* j
  update-lorenz-and-gini-plots
  L1 S) N* E0 u& p9 M2 J# Kend* d) x/ T  E8 }+ b: A7 w) I

) P. F% k9 P/ \to update-class-plot
, J$ s2 d8 |. P* b; k9 X  set-current-plot "Class Plot"8 B  T8 Q$ Q, @% b
  set-current-plot-pen "low"
- ~3 R/ j5 T' J: [, p+ }  plot count turtles with [color = red]0 N2 n3 I0 Z8 g+ G. E
  set-current-plot-pen "mid"
! N# D) H- P+ x. G  plot count turtles with [color = yellow]( k7 U- ?# E$ W9 U2 M
  set-current-plot-pen "up"
: C/ M3 Y; ^  ~& |  L1 a  plot count turtles with [color = green]0 E9 m2 h- K' O' A/ a* a; a' ^2 o
end
# V' T' e( n) b+ Z3 X
/ O  g6 F' `0 s; b9 `* rto update-class-histogram1 _# E5 F/ B+ n
  set-current-plot "Class Histogram"
! f  E% d7 e  L) @0 {- F  plot-pen-reset
% I0 J+ a' }. W0 ]: y/ D$ @  set-plot-pen-color red3 A: e' d7 l; ~: L0 V0 ^
  plot count turtles with [color = red]( U6 \/ V: |9 e8 _# `
  set-plot-pen-color yellow
+ a( B- f$ A6 z5 `  plot count turtles with [color = yellow]
5 b1 o0 Q3 C5 L0 |* p  set-plot-pen-color green
, e8 r' M3 m2 h9 ?! H  plot count turtles with [color = green]
* x3 |( ?- g; @+ w; g/ {  H/ zend! b: F2 s! |, G/ r6 ?  x% {
to update-lorenz-and-gini-plots
& T9 C+ o5 p- c+ n/ P8 _  set-current-plot "Lorenz Curve"
6 R" V( B) {! p" J  clear-plot4 @1 F4 ^& v9 [8 w& ]4 {2 R, `

( n, }/ @$ `0 U" H# p  set-current-plot-pen "equal"
" K' s# `; f& N( E5 I4 y  plot 0: p' t% n, \; i( p0 m
  plot 100
( ^1 O& f* m' G
& f4 j# R+ ]7 x$ B7 b8 V$ [8 m  set-current-plot-pen "lorenz") @1 c  e: a/ D( ?. z$ K3 B
  set-plot-pen-interval 100 / num-people
! e9 M8 L& R' q  plot 0' I" k: }& u- U1 s( F
2 h4 d0 {, L' o& h5 x
  let sorted-wealths sort [wealth] of turtles
4 v7 M. [9 I4 \$ B  let total-wealth sum sorted-wealths/ i: E2 `) `+ Y8 J/ P3 T4 j6 M7 C
  let wealth-sum-so-far 0% q* j* r8 e3 k
  let index 0
/ {6 T$ \$ Q' |. c6 F# k  let gini-index-reserve 0
" d, i1 C) z( J# N( c
5 ]% m5 j( Z9 w  repeat num-people [
" C9 a8 d) r5 q( y9 F* X    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)- ]. I6 k0 b/ h, Z1 X" ~
    plot (wealth-sum-so-far / total-wealth) * 100
  D9 z: H+ Y& {% ]- p: e$ _( s    set index (index + 1)" P9 E! h; j* l6 j
    set gini-index-reserve
* J5 J, A9 X0 U7 V& x% X, `      gini-index-reserve +
. Q+ v' a! O' V      (index / num-people) -( D% b" ~9 A' @  m& U( Q: V
      (wealth-sum-so-far / total-wealth)
" V1 Y6 A* p: Y9 m6 V: L5 c7 L  ]; k& d% p% {" @8 z4 G# q# k* A8 @

! _+ ^  ^+ I: S  h: X5 X  set-current-plot "Gini-Index v. Time"2 ?- m5 t) t7 _/ U2 u8 C# \
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
$ c9 Z2 g8 X6 j( g5 N+ iend
& o+ @; B9 t, ?# ?' H# y- E* rto-report area-of-equality-triangle1 A$ S, S6 X7 O, ~: j
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)9 R" ?& @4 e5 R# u+ V
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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