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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
: f% s! E$ M& c$ nglobals
# j. \! {0 L2 l4 R, s[7 k) ?0 H0 J$ d8 R1 b5 U& k
  max-grain    " i/ @  I, m# j% c2 q4 |/ F

- |1 C  ?2 i/ C1 z0 J7 R( J3 c, x]
! o4 v. A+ |6 q5 G' v7 y( z5 O: x- A9 {
patches-own
2 c7 w2 ]4 t# U' F. u$ ?* [/ [% \[
: D8 O( _8 @7 Z, @) ^$ }( G  grain-here      7 Y4 W% X* Y) _% A3 u6 L# _
  max-grain-here  
8 Q& ?  K, y. l: l) y; |]/ {! N& S+ Z2 {) C9 R$ L
/ C1 `! i; @0 i4 b
turtles-own
! J2 r8 V% m5 Q! {( ^( T/ s/ @& x[
7 i8 p: w: T5 a: V' M. L' c  age              # D+ I7 Z9 M$ e$ ^0 S6 B! k! a' g
  wealth         
. X5 T( r' H/ P# K, ?& M+ O  life-expectancy  
0 T" I& P+ V# Q$ x* Z/ y  metabolism      
$ q4 E" a$ |* _8 \: S0 L  vision
" D& |* t5 l/ ^9 q+ G# B  inherited         2 l5 a% ?  z9 @# J9 c" S
]
1 P/ [$ c9 e0 u, T, o: _# P/ V
2 R: S8 M: M& h% P  _$ i+ v; T
0 i5 s- V6 t) y9 A' xto setup
( i7 t$ Y/ {' \, n: `  ca
1 m1 a" l' G  D0 S3 _3 ]( P  set max-grain 50
3 L5 z$ L5 B; J8 n$ b2 e# ?  setup-patches6 Y1 c. |7 S! y$ _9 M
  setup-turtles
  k: ^8 m+ S* A: \7 N  setup-plots
: ^2 S+ b3 Y& T3 r  update-plots. d7 ~5 b2 w1 d) N  b' x
end
% o& W# V9 f: x. p) }, H$ E4 \& rto setup-patches
+ U: |$ P- x& H0 k& k% L: E  ask patches
; R9 h. e1 q' p, A3 C8 _    [ set max-grain-here 0  ^4 |, Z4 c8 P0 \
      if (random-float 100.0) <= percent-best-land- X7 |9 H! x' w6 l) Y
        [ set max-grain-here max-grain
# b6 `! V# ?- U+ a" }7 Q! ~          set grain-here max-grain-here ] ]
2 M, {) C# s$ A) x4 @  repeat 59 J, l' _, f2 D5 P' L
    [ ask patches with [max-grain-here != 0]
, y' C/ [( Q1 j! Z        [ set grain-here max-grain-here ]
9 k  W- A) X) t" b& @7 T      diffuse grain-here 0.5 ]
# |& {6 U. o& @& k. l( @  repeat 10
2 X: L) [# X/ r- J% J) F    [ diffuse grain-here 0.5]         
' c  ^! p8 y* c  J; w  ask patches
( w4 |, e3 W2 f1 I6 Y) H9 [; X    [ set grain-here floor grain-here   
, r5 [% ^. e" I/ q# Z) W! Q( B! d) l      set max-grain-here grain-here      
' P% j/ y" u( ]4 m8 V, K      recolor-patch ]
5 Y- O2 I9 a1 h6 U3 yend# y2 U( f5 h0 Q/ q( t. ]  J: D  ?9 j
to recolor-patch  
; c4 {1 f9 n- `3 z: W  set pcolor scale-color sky grain-here 0 max-grain
" w% w& j* T) r1 _end
8 a) S6 n  X, E7 r! nto setup-turtles
% l" F; q# W# z( f  set-default-shape turtles "person"
; A+ j- x5 X0 ~' r& e* g4 O+ s6 H0 [9 q  crt num-people9 @1 f+ M- L$ A" ]
    [ move-to one-of patches  
; p  c! M: C! ^$ E      set size 1.5  . `: Y3 W4 T8 j. Q7 G  l5 ^
      set-initial-turtle-vars-age
1 O/ ]1 c" [) i' @4 ?. X      set-initial-turtle-vars-wealth
) D9 X- a/ G; A: b% ^9 Y( M* s      set age random life-expectancy ]
4 H* r' Y2 f/ Z  recolor-turtles
% `' ~4 i8 i5 x& xend) q; x5 T( b. d9 ^- X2 s' @$ r
: @! `1 B% e" K* f$ y+ E7 ]' f
to set-initial-turtle-vars-age
- v$ E1 j/ Y% T/ o6 _. b let max-wealth max [wealth] of turtles( N8 E  M& F/ Z
   
3 d! I6 X; H. M     ifelse (wealth <= max-wealth / 3)( o2 j$ e9 W* E2 M  t& t$ W  Q& g
        [ set color red . \% [- D2 X( [: n0 W
          set age 0; K+ m  Q" i/ ^" q3 n, M: j
          face one-of neighbors4 7 V, x" q. G2 Q1 q3 [+ E. N7 i
          set life-expectancy life-expectancy-min +
- U! ^$ A, A  n" s                        random life-expectancy-max
( t; s" g5 b  v          set metabolism random 1 + metabolism-low
7 ]  f5 J/ d3 r5 `* Z3 v          set wealth metabolism + random 30
( @# p% {; J! v; @+ R! I* b          set vision 1 + random max-vision
9 \* P2 R8 X: x% i2 L             set wealth  wealth +  Wealth-inherited-low ]
( i# X0 O4 c% i  B0 j        [ ifelse (wealth <= (max-wealth * 2 / 3))
: u: H0 ?$ J5 g5 H, m+ ]            [ set color yellow % J' Z3 f& C" ]- m  P9 `" E
              set age 0
$ x! Q: K; [+ L8 l; v* p4 r2 Z              face one-of neighbors4 * G- ]! Y* J0 G0 n. p) ?+ |7 |3 ^0 ?
              set life-expectancy life-expectancy-min +
$ P) O2 A4 k5 N                        random life-expectancy-max + 1( A5 B1 H6 ]: \7 z; y+ E) R
              set metabolism  1 + random metabolism-mid
& L* i6 m- F: x& P' H/ i              set wealth metabolism + random 30) w/ T+ o: _) u  J2 A8 d
              set vision 3 + random max-vision% e" }) t3 N0 p) P" i, X& K7 |
                set wealth  wealth + Wealth-inherited-mid]" @  H6 v! r: q. S+ u% w" E
            [ set color green
1 E9 e% O" h# |& x              set age 0
7 f7 V& H( r4 T. a; {% l" O9 O              face one-of neighbors4 1 j! Y1 [; V6 I' E
              set life-expectancy life-expectancy-min +- B. K, L0 i! b
                        random life-expectancy-max  + 2
' k% h) j5 o( \              set metabolism 2 + random metabolism-up
- @: w9 C- m( ^- W8 [+ H              set wealth metabolism + random 30
  l2 |7 e3 _$ f9 i! C              set vision 3 + random max-vision' ?* O  V" e& @
              set wealth  wealth + Wealth-inherited-up ] ]
! I; t7 _0 e( R% z1 ^ 8 {" Z' K3 {' A6 G+ P0 @" w5 \
end
- b' p6 X7 E5 [% lto set-initial-turtle-vars-wealth6 T& s! `  Z$ U5 ^5 }' w, m
let max-wealth max [wealth] of turtles
% F9 n) R4 h) r% d3 v5 W          set age 0
6 Z/ X$ i. l3 ]4 |: s          face one-of neighbors4
/ c2 l: O& J( w5 _          set life-expectancy life-expectancy-min +  ^5 k) I" B  W0 g3 F
                        random life-expectancy-max
# Q$ C/ P! u: f1 ~$ G3 U: a          set metabolism 1 + random metabolism-up
' |+ h' ?0 o, z: O3 a& F; ?          set wealth metabolism + random 30+ A& v- {8 B  [  e- R9 y+ v4 n( c
          set vision 1 + random max-vision ! n2 f. W% O8 s
end
0 a% s  E2 t7 v0 C* o; J/ }8 ~7 @to redistribution5 s1 o0 t! J' r' ^& u
let max-wealth max [wealth] of turtles; k: Q1 {5 B% e" s
let min-wealth min [wealth] of turtles) \3 Q3 l7 B  X6 S* n; ~' C& K
if (wealth <= max-wealth / 3)
( x2 s9 s, d9 s, g# V; _ [set wealth  wealth + Low-income-protection ]6 G+ x/ l$ G7 }- o2 v  n
end& k! x, J7 u! W- l4 e& ]3 T
         
& F( I- D  d& I) y7 oto recolor-turtles: ~8 k4 v3 J2 p2 s
  let max-wealth max [wealth] of turtles
/ U: Y! {+ y9 {6 ]" m0 j' A  ask turtles2 }8 F; Z' t( }1 U% [
   [ ifelse (wealth <= max-wealth / 3)* u( K1 M3 l& D9 k' s
        [ set color red ]/ O" f0 p' i+ Z
        [ ifelse (wealth <= (max-wealth * 2 / 3))
9 R9 k* ~8 c5 G  r            [ set color yellow ]) W0 U  b! N5 Y3 v. N- }
            [ set color green ] ] ]
" \2 `! B% q& l( n% B& c! B ask turtles [ifelse show-wealth?) f7 B& E0 p' k* k. R
    [ set label wealth ]3 N: R% T  U% q6 P% p: y; @
    [ set label "" ]]- m- C9 H! Z8 y* i0 a) ?
end+ k5 ^! a* k: T  ?' {# P( E

9 r6 E+ N. C, X) z1 A$ `# cto go
! L" A9 g1 _" V7 u- [6 l+ W4 k  ask turtles
+ \0 r4 k3 u5 v+ t    [ turn-towards-grain ]  
. [0 l/ U; R. F6 m& G; p& e  harvest
6 h) m' ]0 G& B6 Z- Y  ask turtles# f0 K& b* S2 V
    [ move-eat-age-die ]
. D$ P$ m/ M: f2 U8 L$ X  recolor-turtles
' C2 ~4 `5 J: {" A  if ticks mod grain-growth-interval = 0
, k' Y6 x' m7 L0 i    [ ask patches [ grow-grain ] ]( v/ \0 c: s8 @9 q, c  b
   
2 O4 v& H8 j, g  if ticks mod 11 = 0- a4 i: j1 V4 _5 o! R! k
  [ask turtles, Y0 v" E' x5 \  M2 g: x
  [ redistribution ]]; Y% S: Z% ?* Z$ V3 y
  if ticks mod 5 = 0
9 |  q9 D- k9 W1 l3 @: L+ s5 O   [ask turtles! j* O- y$ G; e" {( ~" a
  [ visions ]], b$ F+ A. {" v
  tick
! n1 `3 q' x" G7 A5 M) d  update-plots
& O1 h& P$ I8 r& b+ eend& G1 C9 e+ j  P, {( p
to visions% V9 t* L  W; M& T8 l
set vision vision + 1 7 X! ]. q+ B! D- a% @
end3 i  j( a7 ?+ ?$ z* ~. C0 |
- m4 Q. `0 k* U  ?5 k# N

( d4 D) o& @! |; z' S$ l! M: ^( }2 t# u# u4 M# O- Q6 |
to turn-towards-grain  
# W# \8 j8 ^& E5 S$ l  set heading 0$ k  R4 [6 ?; b7 |) r
  let best-direction 04 h. S  }# y/ r0 R
  let best-amount grain-ahead
9 J5 o  E  C8 S$ j+ U) O  set heading 90
& K  y  |3 s0 A0 \, F! h- D6 k. p  if (grain-ahead > best-amount)
' ~) }! b/ l) U, Q    [ set best-direction 90
* @/ h* ^( _/ |! W: L1 x  w      set best-amount grain-ahead ]
' t! q- j. h, B2 N: G" v  set heading 180% ]; ~$ \0 F3 v3 f
  if (grain-ahead > best-amount)' g1 U5 X* G9 x1 W8 S- |7 \+ g5 P/ q4 N! d! S
    [ set best-direction 180/ \: c# B/ w4 F5 x& ^
      set best-amount grain-ahead ]/ F0 ?0 [5 G: G! M
  set heading 270
8 Z$ d: d$ t! t+ G" e4 R$ R  if (grain-ahead > best-amount)7 _6 y3 m% `' J- t5 B' q
    [ set best-direction 2706 B- A* n3 p; o1 c( {
      set best-amount grain-ahead ]; q2 q+ d. a0 ^2 C- [% ]& S
  set heading best-direction
6 h, n. d9 e% G! t+ G& |# A% Mend
: o0 d- L* c3 Q/ w5 v9 c3 g( n3 I3 W. T; w

( D! p7 s& N; w) i0 [3 C& Pto-report grain-ahead  
9 P; I: `% w3 @5 p8 K0 S' S9 k  let total 0
9 \2 c  c: T  x! i  let how-far 1
) o- d; H3 n# v0 l  R  repeat vision7 R: K" L. Y5 h% D3 B
    [ set total total + [grain-here] of patch-ahead how-far
; U. A' p( K( e+ d) Z# s" E      set how-far how-far + 1 ]: Q+ L7 t) r  Q+ C4 k  s5 h! a
  report total
: @' d/ L/ R% O2 fend
" D( r; \1 d$ A. o8 O6 R0 Y7 k& L- m/ y, `/ r5 _3 h
to grow-grain & u0 y$ U# Q  A- s! M/ x. @
  if (grain-here < max-grain-here)1 w" r( W; O1 H- }
    [ set grain-here grain-here + num-grain-grown
( \( }, W: ~- e2 k      if (grain-here > max-grain-here) , B& T) ^( [0 V8 h, R# R! x$ b
        [ set grain-here max-grain-here ]' [0 V; t; ?3 c
      recolor-patch ]
. u; b0 \3 ~' X/ B# S- fend5 W: S" f9 j! F7 K& `) F) b( ~
to harvest4 Z. J1 _' B7 `3 |" }# `- g
  ask turtles9 i) A) u3 w: i8 A" H+ A4 z& T
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]7 h9 ?, n3 l: [+ O2 {0 P+ q/ W3 Q
  ask turtles
  X, S  J5 L! }  ^    [ set grain-here 0
4 ]6 S8 e$ }# X. [% W      recolor-patch ]
* }& l; Y5 D: {3 F  
: ^1 a5 E$ {8 I: b! Yend( B! s; z' [* t' `2 z8 E) [
0 y' G* k6 S1 L# z4 U- B. o$ j% @/ Q
to move-eat-age-die  , }6 c8 ?8 X( ~8 }* ]/ H6 j
  fd 18 h  W8 b0 Q" j* H2 Q" W8 T
  set wealth (wealth - metabolism)9 E0 }0 S  k/ F% M5 V
    set age (age + 1)# K! p9 f( M# H5 [, [; |2 V2 U
  if (age >= life-expectancy)
1 B1 I) i* T. ~/ c' k- B    [ set-initial-turtle-vars-age ]
# O* _- P  t! v) w+ e4 {+ A% I7 P  if (wealth < 0)  B: H6 x9 U1 ?. \1 `
    [ set-initial-turtle-vars-wealth ]) G& M" n* i& {: L; k" z
    9 v7 x! F9 g' x
end' H; _; I1 ^* ?7 g& S* f  v

8 z3 L9 [4 t$ J5 ]
6 C7 E- |3 b$ V  q; Uto setup-plots
) t5 W  g/ e. m6 M4 {, {, p  set-current-plot "Class Plot"& Y3 K. ^* z) d7 x# s  g' [
  set-plot-y-range 0 num-people' Z- m: K7 M2 J& L: g$ J
  set-current-plot "Class Histogram"& M7 t. x! |5 A- e! F, N! v, H' Y
  set-plot-y-range 0 num-people. I5 R* h0 {) i+ [
end
8 ]' G, G; A0 r' G; E' r
' ^  e6 Y3 I9 o/ V. I" G, `3 E2 Cto update-plots
" @6 T: j! @+ T2 S* L  Z7 [! o  update-class-plot( |5 ?" b! W# k. g' M6 e7 c' w
  update-class-histogram! e9 w" |0 v: U) ?0 c/ ?6 V1 P$ l& n
  update-lorenz-and-gini-plots; d2 Y2 Z6 x- L" e3 V4 C
end
) J' N7 D* K+ b
* `9 x$ N% V, N* R5 Y. Eto update-class-plot
) o6 H- P( x# q' d  m  set-current-plot "Class Plot"
/ r7 `4 z$ t; ?6 C  set-current-plot-pen "low", j; R* i3 Y. h' G" j( U* Y7 @
  plot count turtles with [color = red]5 Y' z1 C6 ]! z2 u
  set-current-plot-pen "mid"
& `; r. b; ?& P: k7 Y  plot count turtles with [color = yellow]
! {9 ?8 e( H. a  W( e+ `: `  set-current-plot-pen "up": N8 {, ^  H# p  U6 X* `. y
  plot count turtles with [color = green]
0 r" J8 ]" W! E9 a$ Wend
1 V3 w! N" G9 Q- r4 r1 z" R; \/ p$ [8 S! p: Z- R7 i: K1 t0 r. ?  e( |
to update-class-histogram
4 E( B- r" W, V$ h  set-current-plot "Class Histogram"8 j7 }2 H) O* R0 V( F+ C3 |, x
  plot-pen-reset/ E+ A  G- r5 \& {" h# Y! P- E6 x
  set-plot-pen-color red
% U2 x7 o3 W% K3 d  plot count turtles with [color = red]" D! W7 t( `; H% x5 L1 i
  set-plot-pen-color yellow& K  F9 x. w/ T  |+ _7 B
  plot count turtles with [color = yellow]
/ {# r9 @  d, T7 n4 j' x6 x7 e  set-plot-pen-color green
3 @0 O6 M; K& ^3 k: I. Z  plot count turtles with [color = green]
2 s$ p: x" w+ a+ I! p( [end0 l% o+ i8 G: z1 O  C6 V) {! j
to update-lorenz-and-gini-plots# Z4 s5 S7 T. B* u: p) \: N
  set-current-plot "Lorenz Curve"
( F* k3 w! r* Z$ J" x  clear-plot& R# T, ?* a, y5 w% r, ^

! C7 f( v* ^- ~  set-current-plot-pen "equal"$ o1 e& X) R/ ^+ P# P! M2 k
  plot 07 g7 a- ?. v# O7 ^0 ~8 @6 F
  plot 100
+ }+ `& n7 d7 ?4 A$ J
' x( ^. [+ _8 C8 ~  set-current-plot-pen "lorenz"/ K: \  r/ s: K) K
  set-plot-pen-interval 100 / num-people
& h6 J6 B7 `, k2 S* b: |7 r/ r  plot 09 J" V. i9 y8 j
- r4 s8 u& [) F
  let sorted-wealths sort [wealth] of turtles
. c9 U6 c' F. O- Y7 y1 y: r' B  let total-wealth sum sorted-wealths
' j/ g, t5 z; q0 _2 j6 x3 h4 W  let wealth-sum-so-far 0+ m$ p6 ?9 f3 R7 Z/ x+ ^# y. D
  let index 02 k# N# W5 D/ M* U  Y
  let gini-index-reserve 0
+ q& \- b" O3 S. ~% d1 M3 _: z# E. @# x( o3 B4 {# t% F/ p
  repeat num-people [$ a- n& P8 O) K& j# N6 G$ ]& H
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
9 |1 O" o7 y# E8 `$ [    plot (wealth-sum-so-far / total-wealth) * 100' e6 S8 a1 q# o. N7 V4 F: A
    set index (index + 1)& _( G2 ^( F* i/ T) E0 S1 e
    set gini-index-reserve
+ z6 x) G( r( a9 B0 R" p% e/ f      gini-index-reserve +
1 P5 L, K6 y$ C' y0 q" ~5 x% H      (index / num-people) -" j2 v! `; }! {: @% F
      (wealth-sum-so-far / total-wealth)
& S7 w6 s5 ?2 v  ]
5 o0 `. m" _1 S4 I% A
$ m1 W: M0 M) t4 R% I  set-current-plot "Gini-Index v. Time"' g% W' E2 w7 O! N; ?" d1 i, O! q- J  z3 n
  plot (gini-index-reserve / num-people) / area-of-equality-triangle& d6 g' q( j, |, ]" B- M0 b) k
end; n/ ^+ {( p* d9 h( D( q
to-report area-of-equality-triangle
8 \" o3 L; F" `7 S' v/ n# D$ |7 S  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
& O& @' q  n! Q2 H* K: ]0 V* yend
 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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