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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- z+ k. t- [
globals
( B; e/ [( f; T6 S* [1 T[, K2 M3 `. ?1 E, U6 Q1 d
  max-grain    % R9 \$ `' g0 C; F

& @: r% O- H0 P: w' z]
; u6 _0 Q5 J! _5 A: t/ _0 T+ |" n6 p- J9 ^% k3 E* n! G
patches-own- H: N+ Z# A1 e: n8 |& V0 W5 |: z
[# B, A) C' }; ]9 f9 }" P/ Z
  grain-here      & ?8 A" T* I1 n0 f. N. J" D8 l
  max-grain-here  9 p6 l0 `  S$ K4 o7 Y6 M( b
]
$ i) m& i# C. T- f) L5 G" V4 A% C  B4 d' S
turtles-own2 v  U1 ]% Q, _
[" d( M) y, w3 H2 r1 G
  age              
9 ~- u  T+ V( S' }. Z3 f  wealth         " C' j/ ]" \: c! D; `7 z
  life-expectancy  % C% [% Z% q* s4 v, b. E0 D9 J
  metabolism      
6 ]1 h( m2 g+ V- X$ p/ H8 M  vision- G' j& E1 t4 n. h
  inherited         2 Q/ ~$ W3 P2 ~% J; N+ F! d/ T+ A( V4 N
]/ K5 A$ q8 Z% l5 r  \' c; ^* t

! C, O' O1 {2 m9 X
9 K4 n6 T$ O) z7 Fto setup. \8 \! E' M/ N! `( [; Z1 N
  ca
& U. n9 T  v- [2 _, h% |& @  a  set max-grain 50
% s/ g3 l) p- H7 w+ E0 n$ K# w  setup-patches6 f5 N* N9 p: h: x
  setup-turtles
; N! t6 s4 R9 |- T( j' S  setup-plots8 p; S( |- V) _
  update-plots% X; q# P: R( U- e# G% {
end
. N& f( [& j8 W7 q- e/ I# lto setup-patches% H3 n- g, r4 Y+ r
  ask patches. y; ?& h! G, h0 H* P
    [ set max-grain-here 0
7 c7 X6 u/ b; Z/ P      if (random-float 100.0) <= percent-best-land
4 m; v( c0 V5 ~3 u' s! B        [ set max-grain-here max-grain0 Q3 p. P9 a, T! B/ ]
          set grain-here max-grain-here ] ]5 Z2 m; i* c( W  R; q$ Y. _* Q8 N
  repeat 5
9 @7 v( K- c; `, K; Z- B4 H" X    [ ask patches with [max-grain-here != 0]
% Y' F5 ]; C6 `3 N; P" c% P7 f5 q9 {        [ set grain-here max-grain-here ]
$ h: m) w2 p. C& T* f5 L. N      diffuse grain-here 0.5 ]& z% i9 Z2 {- I
  repeat 10
# p! V+ K1 _; h+ d: n0 O/ \    [ diffuse grain-here 0.5]          / z1 a5 U8 n/ p. N* ?) H
  ask patches
1 Z3 }+ c7 F- D6 b+ X' J4 n    [ set grain-here floor grain-here   
; p. N7 d- j' e; F# V      set max-grain-here grain-here      - E) n( {9 S0 F/ E. E: y
      recolor-patch ]
' T+ t0 W2 u# E/ uend
5 W5 i1 J1 e" Y$ i6 N/ m; [, tto recolor-patch  
" s4 \5 y! }" j8 H# E9 c  set pcolor scale-color sky grain-here 0 max-grain
/ \! S' D0 d5 n+ d! d9 U8 J2 \0 zend, @( q  t# P: |! G+ e# [
to setup-turtles( J( |; ~* O/ {3 R) ~9 y. f# x
  set-default-shape turtles "person", y2 B: o$ n6 J
  crt num-people2 ?% `  t6 Z, H6 N# L( d
    [ move-to one-of patches  
1 S8 X$ c5 z1 v2 Q      set size 1.5  
% v# f6 f: X5 Y! O0 ]" E7 U3 b      set-initial-turtle-vars-age
# P% l# O0 F3 |  r- {7 J7 c      set-initial-turtle-vars-wealth
! @7 G' d! I, f4 ~      set age random life-expectancy ]8 e1 U6 ^, r$ s& a
  recolor-turtles! t! i+ N4 _1 M2 ^9 N; }) a$ g
end. P; Z- p% P3 l
, m' W" a: J0 d" G5 k( M
to set-initial-turtle-vars-age+ F( e  o9 F) c" V$ _/ v2 J! X3 N
let max-wealth max [wealth] of turtles7 v4 h: s  B% i
   
/ i: e3 }$ N8 v9 b1 E! m     ifelse (wealth <= max-wealth / 3)
# V! ?; @6 A3 O        [ set color red
( S$ q0 ~" G. A$ K+ A; s- `8 M' m          set age 0
6 L% c# z4 y3 A/ V          face one-of neighbors4 2 N: z% T) G3 @3 ~8 k+ @
          set life-expectancy life-expectancy-min +* Z5 n/ I: |7 C. H
                        random life-expectancy-max
$ G  O0 K" T; R& y1 b          set metabolism random 1 + metabolism-low( F+ _; B6 v2 z
          set wealth metabolism + random 30
' `$ Q; `* n/ L) ~- @* R# h' c" K- d          set vision 1 + random max-vision
% w  v( o1 c. K/ W9 M* e" K             set wealth  wealth +  Wealth-inherited-low ]4 A6 M' G+ x( x2 U2 B6 t, F
        [ ifelse (wealth <= (max-wealth * 2 / 3))# ~) q" i6 G7 u- m# {
            [ set color yellow , b+ L# U9 N3 S0 E6 K
              set age 03 B& x7 ~, r1 z& k0 P1 _
              face one-of neighbors4
' c& b% x2 e! L3 S              set life-expectancy life-expectancy-min +- {, [* u# f4 Q) Q1 O2 {5 N- i: t
                        random life-expectancy-max + 1' c( }9 U4 N9 g1 I- f7 j; e  q
              set metabolism  1 + random metabolism-mid
0 l9 @) q! [$ E$ j5 z$ p( i3 u( P1 c              set wealth metabolism + random 30
/ q* G! C6 ~5 x) H1 {- n              set vision 3 + random max-vision% g$ G7 h1 ~% a/ V
                set wealth  wealth + Wealth-inherited-mid]
  ]8 N' ~/ \7 }, G  b& O            [ set color green 9 h1 M; n9 `5 D! B9 B
              set age 0
: J0 |) s8 o: |3 `- q              face one-of neighbors4   n+ W+ l* Z6 O
              set life-expectancy life-expectancy-min +& ]4 ]+ p4 a7 x. J" ?; m
                        random life-expectancy-max  + 2& V3 J4 V* I  B* \. A: n
              set metabolism 2 + random metabolism-up2 i1 b. \# S" B% p5 h6 X& F" r7 o
              set wealth metabolism + random 309 N6 U/ M, j. l
              set vision 3 + random max-vision
5 L% t8 S* c$ `8 ^              set wealth  wealth + Wealth-inherited-up ] ]
7 G. w$ a6 R& o7 d( N1 B1 z
( u( l, W5 C8 J- n5 H  Qend
. b! v5 ]' L, _4 h( f  Ato set-initial-turtle-vars-wealth( e9 i. H4 G7 \# G6 j9 r
let max-wealth max [wealth] of turtles6 e8 w2 l1 O- Q- _, f1 K
          set age 0  p, J* c% m0 C: H5 D5 d
          face one-of neighbors4 : y- P4 D! a- u5 y. d
          set life-expectancy life-expectancy-min +9 a6 ^/ U7 E$ ?
                        random life-expectancy-max
; n/ }; x, D5 A          set metabolism 1 + random metabolism-up
  a' ]3 k4 h( i! ~+ p          set wealth metabolism + random 305 G6 Z9 m( j: L& z& J* U% Q
          set vision 1 + random max-vision
. o2 C: t; y4 c7 dend
8 H& R& |2 S1 C9 rto redistribution
, E% F! J& ?. Flet max-wealth max [wealth] of turtles* q9 ]" R$ M, W5 o! l1 p/ h5 R6 Q
let min-wealth min [wealth] of turtles& P5 q; E6 U: H' g% t0 Q
if (wealth <= max-wealth / 3)6 _8 k, G8 M. C  I; d
[set wealth  wealth + Low-income-protection ]
7 F/ a5 ?9 {- s) {end
# Z% H* D9 M: a: ]- V5 p          + g" J+ U5 ~9 H' @
to recolor-turtles5 ~. v. c+ @5 a" a2 y* ?* b. ^7 k
  let max-wealth max [wealth] of turtles9 Q  K9 S) Q& W' h; {
  ask turtles
  F) w- W; L/ {   [ ifelse (wealth <= max-wealth / 3)" {9 _* ?4 e" `. t& m" z
        [ set color red ]
/ Y! \4 p$ {3 Y( n        [ ifelse (wealth <= (max-wealth * 2 / 3))2 ?0 [# S# V8 `4 {7 J2 A0 B
            [ set color yellow ]
; p( B9 [3 g1 @/ \2 I/ p            [ set color green ] ] ]
5 l. Y% c8 @7 P2 _7 a ask turtles [ifelse show-wealth?
8 ~9 Y& r& X4 [    [ set label wealth ]
6 y6 {' r9 s+ y1 ?% |    [ set label "" ]]
. d+ _, @, j  v2 L' ~end
# b5 `5 N; Y9 ]% v* t. d- ^: A3 S& `
to go/ [8 W7 e, h1 C
  ask turtles
: g) V( m( |% B- K    [ turn-towards-grain ]  
. G( v3 O9 {2 m$ K  harvest& p/ p8 L+ y1 u3 t$ L
  ask turtles
" g: A2 Z" M4 o8 ~! a    [ move-eat-age-die ]
1 ]- A7 p6 |7 C- x- s8 ~  recolor-turtles
: k. {& @: O& N4 A9 a; k  if ticks mod grain-growth-interval = 0
3 ^" p2 j. b& r/ ]$ ]    [ ask patches [ grow-grain ] ]2 }* q2 H$ r  K* ~' r) n$ v1 S
   7 w: f9 ^/ R( H& l
  if ticks mod 11 = 0( U- e8 y/ m% z( n, m" P, M
  [ask turtles7 N) @8 E& K2 C
  [ redistribution ]]
. d5 S" }. X! ~* I, r* N, H0 X% C  if ticks mod 5 = 01 v8 O( Q3 \& D, T7 w3 G3 M6 \
   [ask turtles
+ s- d7 c! ]4 C% L  [ visions ]]$ V, Q+ b4 C+ L  M  z
  tick
# |  w* m2 x+ x2 R( @* b& w  update-plots
( g( X$ x1 `0 M! B: Iend. v% A; [6 W* k/ O
to visions
5 q5 ~& f& T. F9 x set vision vision + 1 4 ~2 \9 I* S# q6 \9 e6 p9 R
end3 q- J3 R- a- F6 U
" a4 m7 Q, {) T

. h% g3 g; k- `- k! Z
4 \$ v5 B0 H- [2 _8 v6 |3 Qto turn-towards-grain  
" S% y9 {4 P7 ~& J  set heading 0
( W" V# N& D) N  let best-direction 0; ]- H1 t/ a. S/ W3 ^' }) d
  let best-amount grain-ahead
( v# I& v' @( n: ]& t# I) c& b  J  set heading 90
0 Z4 a) K( x1 K9 V  if (grain-ahead > best-amount)
4 A' q, W6 a) v; g  H    [ set best-direction 909 [0 e+ j3 _# [
      set best-amount grain-ahead ]! e- I1 g. x: }- u
  set heading 180) Z* h! f0 x; ~# Z4 v: r
  if (grain-ahead > best-amount)+ q2 R; k& [" ^: B9 M0 k% ]- J6 a
    [ set best-direction 180) D, W$ ?" X  o4 D9 Y& o* n9 R" P
      set best-amount grain-ahead ]
1 _/ o7 P+ I; U# _. U  set heading 270" x2 a  k2 c$ R8 |1 C4 A
  if (grain-ahead > best-amount)
6 A, z# T1 l8 {7 b    [ set best-direction 2708 L5 k6 b1 M" C. F6 ~6 ~
      set best-amount grain-ahead ]
9 o) o; O3 N2 |, X  set heading best-direction
- Y) H6 e; d. r& n/ [end
8 R% _8 k) e- f2 y# Z- y
& y1 g- p" c& `% U' l, V- C" ^) b# N) E. U. j* ~
to-report grain-ahead  
/ m3 \$ k- p; |  let total 06 I9 J2 o" C0 V" l* \
  let how-far 1
* i# N* q- s) T$ q0 G& g  repeat vision- ^+ f- P  f/ u5 e: ~
    [ set total total + [grain-here] of patch-ahead how-far5 s& ]. M" o+ N/ F3 W+ ~
      set how-far how-far + 1 ]
, n5 l; C4 D4 w) \! H: I  report total% k3 r$ |* W& K! ?, V
end! c2 J: e$ @, t1 q

3 l% o7 p: u' cto grow-grain
# T; r! Q: u9 [6 A  if (grain-here < max-grain-here)
# v/ _; O9 a& q- B    [ set grain-here grain-here + num-grain-grown2 m* O# P4 V6 s& I
      if (grain-here > max-grain-here)
5 B: v# S- v  }& A/ W" D& t) o% r2 S        [ set grain-here max-grain-here ]. z! x' ^6 |/ s+ y
      recolor-patch ]  F) l3 Q' ~9 E; x6 X) L& Y
end
, \) {! ]$ }' N& k5 g0 x9 f8 xto harvest2 M- w1 c  ]; Y" c6 l
  ask turtles
0 T) F7 \$ M" |9 {: ^    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
+ K) d8 }8 ]: `! o3 T. s5 k# r  ask turtles7 y( b  R1 O2 C# G$ h- i4 ]
    [ set grain-here 00 `# ~8 i- v! f$ M( d
      recolor-patch ]
% a+ f! D2 I1 p5 i/ F. q  
) ~& x9 D# i9 U, v/ H6 @: vend% j2 r6 c7 w. t( [1 q# g1 [  Q- f

2 v' m6 Q8 [' b5 bto move-eat-age-die  
( |& h$ p, ^/ ~3 t  fd 1; ~4 f. h: \  R
  set wealth (wealth - metabolism)8 ~5 g  y6 s6 t$ l
    set age (age + 1)1 u) S/ l9 Z+ n$ B+ l
  if (age >= life-expectancy)4 h, H' z9 [$ n, b7 A' D( o
    [ set-initial-turtle-vars-age ]. l+ E/ a3 j4 [2 }( h) u7 w" H; h: l
  if (wealth < 0). \0 u& Q$ K1 A$ I7 y. b% C, r
    [ set-initial-turtle-vars-wealth ]
; t+ B' J1 g' T* e2 T   
4 i- j# G& `5 E  Mend
' x, W: \8 q, d) R9 A& D" ]
1 M# d4 j8 C! e6 C0 R8 t( f
- K( a4 G; x7 H. D& x  X. v- Oto setup-plots7 O4 A9 l6 B. \3 B2 F( \0 G
  set-current-plot "Class Plot"
; m0 M9 O2 z2 X. [8 f' A! j9 k1 ^6 }+ h  set-plot-y-range 0 num-people' E! n( j$ ^$ ^3 M! b5 ~2 f
  set-current-plot "Class Histogram"
  H: J0 [, K, ]  set-plot-y-range 0 num-people1 F1 P& z4 w; j; y
end  ]5 \) g; p3 I# H

! v: l5 i5 e9 l1 v; J/ V3 k! c$ Kto update-plots) T! [0 g) p; C' t
  update-class-plot8 X+ ^5 i+ Z/ q8 i# i! Q
  update-class-histogram
9 x$ [  I- t% ~% f" {! d! m  update-lorenz-and-gini-plots
# Z/ E5 _" ~- n7 [! Q: Jend) y1 j, ]2 @( y# v9 A

7 Z6 |8 c8 O2 L- {7 Vto update-class-plot9 N( _( v" _' E
  set-current-plot "Class Plot"
% w9 `; ^2 ]7 J8 y  set-current-plot-pen "low"$ e% u+ \( v1 R+ h8 j
  plot count turtles with [color = red]' P, P# S8 d. D! V& h
  set-current-plot-pen "mid"+ P+ }& l. f* b/ w; T6 q0 x4 Y" V
  plot count turtles with [color = yellow]
6 l' K2 F1 u9 r. @7 R  set-current-plot-pen "up"
# J' E' y( [: e4 ]( M) g6 u3 a; z  plot count turtles with [color = green]  x* z5 E! v! o! i5 H  E
end" F1 I( m( v4 Z
0 w) U' k  N$ B5 |0 H
to update-class-histogram8 g% \* b! B, m! ~
  set-current-plot "Class Histogram"
% s, ]4 V4 V5 ]& j; Y1 m$ w9 u& ~  plot-pen-reset6 ~$ [/ C7 u4 q! O% ~+ j- ~
  set-plot-pen-color red" l: ^* n8 P. v8 B
  plot count turtles with [color = red]0 V$ C, o: `& s, R. V
  set-plot-pen-color yellow
: I. W$ p7 y- f: J# a. {  plot count turtles with [color = yellow]% D, A" z: {9 R9 i2 `) N
  set-plot-pen-color green' I! w- P0 a% g9 I5 F
  plot count turtles with [color = green]' |. L( k3 W: N5 H- }' z# G
end
0 D  E$ X* z' L/ P' F8 W6 P# v' tto update-lorenz-and-gini-plots$ B( S, U) o* w9 x
  set-current-plot "Lorenz Curve"
$ W& p9 x+ x: a  clear-plot7 S% b3 r  u+ o8 {7 T. |7 \
# B8 ?9 ~- I1 N2 R
  set-current-plot-pen "equal"  C) P: V7 H# ~+ ^- T
  plot 0
+ c& t, I7 {; }+ G5 ~  plot 1001 e3 h8 y/ d% u7 R1 r2 R
  E( j# X2 D/ H$ R+ v* B" u6 E
  set-current-plot-pen "lorenz"
5 Y% h- h* I8 u. H" U$ m+ B9 b  set-plot-pen-interval 100 / num-people
' Q5 {. \: D! M& E6 t  plot 0
7 @' h; E! b; @) b8 T% `4 r/ R/ S" C; |
! M; L$ Z3 t" a. r+ H  let sorted-wealths sort [wealth] of turtles4 ~/ s! n" ~: K$ o7 I# D
  let total-wealth sum sorted-wealths) M2 ^$ y. t' t4 @+ Y( {6 Y6 {
  let wealth-sum-so-far 06 Y' ?1 y% [2 A: r% k; P
  let index 0
" ^% e9 l3 I5 m9 Q  let gini-index-reserve 0
8 I$ b8 T+ ^& K6 O
; U1 J' }& w8 i, Q# n) p2 h$ i  repeat num-people [
9 R) @6 W7 f/ ^$ i9 N7 X    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
& Q8 d! U& J; ~' \5 A+ H% D) S9 `7 d    plot (wealth-sum-so-far / total-wealth) * 100
$ T9 f* P6 X! r; ?) _    set index (index + 1)
' @6 k6 ~' e8 O7 R  U9 N. Y    set gini-index-reserve
. K7 {- O4 k7 q% C+ n7 j      gini-index-reserve +
, O& ?% R: @- @4 |      (index / num-people) -) P. a" L. u* X4 V7 _
      (wealth-sum-so-far / total-wealth)
5 r$ @' b  `  |  ]
# O) _& M* Y& c- J7 h( q% D; {3 @1 C: x9 U9 y7 F
  set-current-plot "Gini-Index v. Time"/ W( k. ~; Y$ A; `+ i# X
  plot (gini-index-reserve / num-people) / area-of-equality-triangle, N  v: K: [5 G9 z8 f( \1 E! `$ t
end
$ y' g& i7 d3 F' m3 v; ~3 cto-report area-of-equality-triangle
6 m, w9 w5 ~' H3 y4 f6 A( U6 S  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)9 s& G. p" h8 T
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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