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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8 ~! N( C" {7 \9 C" ^! S
globals% G' O8 q) l7 h8 [! H) `: _
[& J! q3 E; o+ T
  max-grain   
: T- P+ `" \$ }% p$ _
1 L- Z( W' U( a+ u( [6 O]
& p0 ~5 K! H5 x3 S: k6 F
" n+ L& j; T- U! y) m$ ]patches-own
2 J, O! L6 q# Z0 B5 F1 U' ~- L[
7 Y( W4 k% n8 g1 L  q' M) Q$ k  grain-here      
. T' p, h6 d* l1 a( Q  max-grain-here  
# Z! Q7 ]: J9 W, _]9 {  U* M* ^+ {& W0 G3 f$ Y
4 \8 [; [0 B5 t7 H0 m# }
turtles-own* g! Y! k. _, S  z+ K
[$ F$ P' g1 `0 f% l" I. i2 s
  age              
2 n" A0 K" u1 Y& k- o  wealth         
3 q$ O& r4 b. A+ U1 p: T# v- `  life-expectancy  
# G2 Z/ Q& b; i/ f0 O, q  metabolism         x9 L' e% _  u3 F4 }
  vision, i+ q2 U  W; X$ c) g9 Q* \  \
  inherited         5 H, v& i2 E3 Q' v8 [. m
]# t- ?2 L) W8 x4 {

$ l( [0 I/ A& g* b& ?# G( r
( G% Z( g7 j3 L4 v& E9 c7 ato setup
0 q+ i% N3 G( r7 C+ u& D: Z. G/ O  ca
+ m2 p; \2 u8 J% w1 ~  set max-grain 509 s- u# ?9 n- x" S# \7 F3 ^
  setup-patches$ E9 Z1 A$ P+ s1 Q! m7 l
  setup-turtles
% J. Y6 y% G% v( B. J  F  setup-plots
& c- o; X( X9 H' V- ]1 @  update-plots
0 ?+ N3 j, A% F6 ?end+ E9 a+ _+ {0 w& S. T5 t9 @
to setup-patches' L% E9 y- V1 A8 r7 \2 e" O# S
  ask patches; a1 F; f" c, G$ f: o; b( q
    [ set max-grain-here 0* J7 G+ K, ?$ C, N- V# x
      if (random-float 100.0) <= percent-best-land
$ g5 Y; Z9 B4 k6 T: X        [ set max-grain-here max-grain- \* K, x6 {. g4 J0 B* Y
          set grain-here max-grain-here ] ], Q+ d4 v9 O. ^; l
  repeat 5- z; U' H4 p1 r
    [ ask patches with [max-grain-here != 0]/ J7 N0 w; X3 @3 p# i% y, _
        [ set grain-here max-grain-here ], E+ y$ n# E1 ]. R2 S1 S( i
      diffuse grain-here 0.5 ]! e( t/ |$ V( d1 |# |
  repeat 10
& D4 L$ m" Y( q2 t& V    [ diffuse grain-here 0.5]         
' ~7 }8 \0 z2 T  ask patches" M) \0 o+ N6 k; z1 S
    [ set grain-here floor grain-here   
/ A7 _, Z9 f* Y, k/ @& `9 ?      set max-grain-here grain-here      
4 O# b6 A- a1 E      recolor-patch ]6 p& q2 B4 z- F
end
! C5 Y% a4 k8 {+ Y# V3 ato recolor-patch  7 L$ C; O) W' R+ \# c! i
  set pcolor scale-color sky grain-here 0 max-grain
3 a- _; `+ H6 [4 s" C6 nend2 f0 Y0 U+ h9 T, a8 Y
to setup-turtles' `0 u- V# T. {7 e( p6 a' n
  set-default-shape turtles "person"; r7 H* Y  S0 p! X, G! k
  crt num-people
% |5 [. _, B* F5 M( Q, t! a    [ move-to one-of patches  
8 L# W2 }' H4 O& {, e7 I      set size 1.5  7 k7 s6 f( r, U
      set-initial-turtle-vars-age+ b* b- O) I/ J7 O, L* m2 l3 F
      set-initial-turtle-vars-wealth" g3 X1 [7 G. {% N4 |
      set age random life-expectancy ]( I" L! I' w. D" X$ T: h+ }% K
  recolor-turtles
7 w8 A. }( {, j6 e  P7 B3 @end- \! P. ]" |. B7 l& T
! N% F" z9 `# u7 X6 g5 I' n( ~
to set-initial-turtle-vars-age  e: Y; c' ~; \+ i, }* ^
let max-wealth max [wealth] of turtles# n- a# M5 ^, I; ]  V
   
" o; m0 a9 o  v- J- _4 w     ifelse (wealth <= max-wealth / 3)! V# f1 w7 C8 ^3 G! \2 D1 W, j
        [ set color red
3 ^: o' [4 W8 r3 t          set age 05 [" r1 H) t# h  X- Q
          face one-of neighbors4
% N# F8 P7 E* E6 }# s& I          set life-expectancy life-expectancy-min +
" R5 b1 C% e8 j+ m0 ^/ N- k3 _/ b                        random life-expectancy-max - S  N7 D: a4 B
          set metabolism random 1 + metabolism-low% P8 I$ _# r3 [3 G# V5 V/ m- [
          set wealth metabolism + random 300 }2 J- r' s6 F6 l. e8 Z
          set vision 1 + random max-vision
- c  w7 U& b& W. |* T3 D' ^8 m. H# e             set wealth  wealth +  Wealth-inherited-low ]
: H* }* [8 U& o' [' M) Q$ Q        [ ifelse (wealth <= (max-wealth * 2 / 3))3 F+ S1 B6 \6 s" r4 _6 C' o
            [ set color yellow 2 B1 Q% }2 Y3 A6 a' S2 T
              set age 0, h4 c" ]: |' q
              face one-of neighbors4
- X  y: X' C1 k- n              set life-expectancy life-expectancy-min +
0 e, }( x# J5 I4 x; c4 m. z                        random life-expectancy-max + 1
* F/ N9 z0 P* y              set metabolism  1 + random metabolism-mid5 k/ m3 ^1 l' p  h! L
              set wealth metabolism + random 30
& C9 F3 ~) N3 Y$ G              set vision 3 + random max-vision; ?6 k& t" u3 q
                set wealth  wealth + Wealth-inherited-mid]
& p' Z# ~- K5 \$ j& u- V( D            [ set color green
) D0 z+ L+ q% Q2 }+ {! |% |              set age 0
/ C" j& P8 K( ^. w0 h8 w              face one-of neighbors4 + J( A9 `: c: t0 z' s3 d, E
              set life-expectancy life-expectancy-min +
! {3 y! _% h9 A& x% V                        random life-expectancy-max  + 2
) z% f2 ]2 {# y              set metabolism 2 + random metabolism-up% a- [# h- r' q5 p  g
              set wealth metabolism + random 305 B: I/ W  Z1 E* @% ]7 g
              set vision 3 + random max-vision
; Q4 r+ _) V" k* d1 t9 O( @$ e7 {              set wealth  wealth + Wealth-inherited-up ] ] ) U! V: z+ y) R  }: n

( H. a- O0 d/ dend8 K# ^+ o( h$ Y
to set-initial-turtle-vars-wealth
" _6 L; E: a; w let max-wealth max [wealth] of turtles9 B' g6 H5 ]5 Y; {! T
          set age 0
  s$ C: q$ g" v          face one-of neighbors4 + g4 r; F  x% {2 N6 {
          set life-expectancy life-expectancy-min +1 ^% [+ U$ W, i7 a+ f
                        random life-expectancy-max
* D6 G5 X, s- Z: v3 q          set metabolism 1 + random metabolism-up( T6 t2 f& B$ W
          set wealth metabolism + random 30
$ C( b6 H8 M. _& x& N          set vision 1 + random max-vision ' K1 Z# m/ c' R
end
% c8 x$ D1 c( j4 p, M6 c, dto redistribution* R% p2 _6 d8 Z9 t& ~; n- X1 `2 _
let max-wealth max [wealth] of turtles
1 m# L5 q9 H, R' w0 Qlet min-wealth min [wealth] of turtles4 p2 `9 L9 m( j. V" n" J
if (wealth <= max-wealth / 3); c* H. b$ a0 `# Q' H. |
[set wealth  wealth + Low-income-protection ]" K" H4 O) |3 M
end
9 d  U' K8 s; z  H          # R- n% t6 U! Z  u# J
to recolor-turtles/ H- `/ J: Z8 L. X
  let max-wealth max [wealth] of turtles! i% l0 W4 b9 P1 K! v
  ask turtles% U; ?4 Q6 F- c) b  g4 z
   [ ifelse (wealth <= max-wealth / 3)
3 r1 D2 I) J* A3 d4 j        [ set color red ]) s4 B  H, H* m; l1 z9 X$ o
        [ ifelse (wealth <= (max-wealth * 2 / 3))+ r7 ~7 r9 X) i' e2 n& J2 o8 S. c
            [ set color yellow ]" l% e9 q7 }5 ]
            [ set color green ] ] ]
9 z6 K% A8 v5 H9 w ask turtles [ifelse show-wealth?! t* D# M' u9 H1 m
    [ set label wealth ]4 Y; m: D, k. y
    [ set label "" ]]
$ u$ J# |  M" wend
/ e5 I; G& M' M+ O& c+ Z, h& ]8 _) a4 |/ O8 P1 I5 R1 T! T
to go; [) Z) S# o/ f+ T, f# Z
  ask turtles
# B+ T6 K5 @2 {  w" A. H8 k    [ turn-towards-grain ]  
9 K0 Z$ K' Q, t9 j. e5 K2 y  harvest& G8 U# Y$ l! R, Z" G9 E
  ask turtles
2 u! t9 M6 D/ c* i    [ move-eat-age-die ]. P5 ]0 t/ G" J- _3 F. d
  recolor-turtles- e7 Y4 F8 ?% }9 H& D* j, |- `
  if ticks mod grain-growth-interval = 0. r' B# H6 |/ C# q
    [ ask patches [ grow-grain ] ]# k& @! X% w# ]9 ^" d
   9 |: }" y  B: H$ J7 h4 F7 ]4 n
  if ticks mod 11 = 01 X. M5 }9 V3 O  h
  [ask turtles
0 o4 l$ y+ R# A1 |1 }6 Y1 L+ x- K6 a6 m  [ redistribution ]]
3 z* m8 i8 a& E) z# p  p  if ticks mod 5 = 0: @6 e4 q# m4 ~1 A) x# K4 L/ N1 h
   [ask turtles
1 H4 E3 }, h! W, a  [ visions ]]1 R. V/ g9 k% z. V  A3 `, `
  tick) F' y3 X1 z1 X- |) M# w9 V
  update-plots
# a* F, w! t: X) b8 C( A. A* o- Nend
' @( u, O( O6 d1 n; Rto visions
( ^! A/ h6 T/ _) o set vision vision + 1 7 Y* \( o. B4 J) Y3 G0 H' N
end
7 g6 |/ m! H0 G- B- `/ j
+ ^% @" B$ q" R" K
1 h3 [6 I' ^; _- b6 }
! ?# L6 A0 R# b8 F9 t9 H0 B) O! Y: Vto turn-towards-grain  
+ r. F% |9 \, ]) i0 `" S  set heading 0
( n9 U, H8 y  N8 n  let best-direction 0
' D/ k% L$ O: A5 P: [  let best-amount grain-ahead3 y  z- I$ k( \1 q, f
  set heading 909 y) d5 f- i# a: N6 B% t% s6 A% V
  if (grain-ahead > best-amount)
  B- H6 c8 {7 H    [ set best-direction 90
4 Q5 Y* R3 x! `6 {: H      set best-amount grain-ahead ]1 w6 R0 n1 K. |1 p7 b: \$ }
  set heading 180
$ J' L+ w9 w5 [% ]4 m0 B  if (grain-ahead > best-amount)
6 G/ X- _# Z3 d+ p) N    [ set best-direction 180
3 i% W& h4 J+ w" e" ?4 ~; o      set best-amount grain-ahead ]
" O/ o% `) w! i2 {/ J3 F  set heading 270
) N$ ~& ]0 j  ?' d" T) J7 j  if (grain-ahead > best-amount). u2 i3 ~  {# h- ]
    [ set best-direction 270
  e5 _. C. O! J1 y( C      set best-amount grain-ahead ]
9 P' s6 t; p1 V5 {% F  set heading best-direction1 A( r4 J. I( h' W
end
' B( n3 Q" b% Z
' g: ~( I' Q( u% N# r& y' H! G" y  E3 C' f9 b8 ^# |* D
to-report grain-ahead  
) r! h4 g0 Y$ n  Q+ i5 M/ E; u  let total 0: d5 u8 h2 F* g2 T. }1 a
  let how-far 1" ^7 O) O, Y* U& d7 H
  repeat vision
7 i8 X/ i- E9 n' T% K    [ set total total + [grain-here] of patch-ahead how-far8 V/ V# K. \7 v6 u- x9 l. K
      set how-far how-far + 1 ]/ C: m8 d4 X4 f& K8 k5 D+ t, n+ w
  report total
  v. @8 c  y, V" g* i4 uend
- S5 t& H  b2 W1 Q$ b# _& c- B& }! d6 N# k+ U8 z* `
to grow-grain
8 s- }+ V, @0 P' W9 _. x  if (grain-here < max-grain-here)- a  v# q" V: Y4 m, X
    [ set grain-here grain-here + num-grain-grown
2 Y+ p8 Q6 ~  v! _" X' k9 E      if (grain-here > max-grain-here)   H# q! n2 N9 c! |5 W
        [ set grain-here max-grain-here ]
% w; n; X) a1 m, `( W# k. I      recolor-patch ]
' Y" @* v4 N3 W2 K$ }end' ^* t/ h6 L( K" F0 U
to harvest- U, c2 r: U8 ?; E. F0 v
  ask turtles
. m" j7 O  }% E9 O6 J; \8 Y    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]/ f: Y1 v7 p2 m3 p
  ask turtles: M6 d0 C' J, T3 n+ c- I
    [ set grain-here 0
5 \% G5 X' e" l      recolor-patch ]
+ \* ~( S+ L" V& r. _2 {  
# R! K7 P% V3 l7 y- s" R& a& r, \end) e; V( c! f& z4 X& X

: A3 w$ o) {' l$ N0 k' E! ~to move-eat-age-die  4 J: Z/ K& R; s! C/ H+ g
  fd 1
6 w7 c# Q" @8 }  set wealth (wealth - metabolism)/ g. n) _! {% V& D8 s9 X- W  W
    set age (age + 1)! k5 g! \" v# S. g. W$ h
  if (age >= life-expectancy)
( p/ Q3 z& b. M: [8 U( Q2 Q2 q! n    [ set-initial-turtle-vars-age ]
, p* j* c, B/ U9 ]4 C) H  if (wealth < 0)% g: k9 \' a( G4 ]  ~/ P
    [ set-initial-turtle-vars-wealth ]
! M) F  ?4 C& g: h8 A   
4 z' R2 {! a, w# ]- s: V+ B: |7 L4 Kend
% s& ], F& c" d& [, V" c5 D
  c; N, G( s) C  S, f) F
+ b& u; d$ J2 @+ }3 j5 ~4 Zto setup-plots& T# v# y+ S" I( d& i
  set-current-plot "Class Plot"
: E; Q- H  U0 l) b8 g- n: g  set-plot-y-range 0 num-people. T! A7 \# L6 n; K2 W" q/ z  l$ t
  set-current-plot "Class Histogram"; f6 r, B2 C, V. G
  set-plot-y-range 0 num-people; a, W, ~( @6 _3 |# W( A- c
end( p' ^- o% o' p5 s# P+ k
6 f6 I9 e/ _9 Z( x
to update-plots6 b& u7 A( ^6 @4 g. }
  update-class-plot
$ s+ g7 |2 ^+ U  O  update-class-histogram' r; R6 ]( ?7 S# f
  update-lorenz-and-gini-plots
: P% `2 [$ Q, D0 }end/ C5 g3 a" N/ Y5 x$ a* K# ?0 [3 `
- N0 W: X8 g0 A: x, g' K3 k
to update-class-plot
, @7 C& A1 V/ r1 t, Z6 O  set-current-plot "Class Plot"9 B3 O7 F* [# ]( @
  set-current-plot-pen "low"0 m. [1 @' h0 _$ x2 R7 q& r/ q
  plot count turtles with [color = red]8 b/ K' A3 P5 `6 R
  set-current-plot-pen "mid"" D( f; f+ W9 d9 _, K
  plot count turtles with [color = yellow]
5 \' t+ h% @2 b5 F  set-current-plot-pen "up"
  N7 A2 c* S! c; @2 E7 h  plot count turtles with [color = green]8 }$ v) W% `" n7 s3 {9 B
end
) l, x' Q7 y: s& b' ^- h9 R* D" ^8 j. U- B# H% x4 T
to update-class-histogram/ W" V% F* Y* D  V& Q- U
  set-current-plot "Class Histogram"" t) q8 M# g9 V) X- v% `
  plot-pen-reset: `& J( U, x5 y0 s
  set-plot-pen-color red
; }. x6 C$ ^( P: [& j9 M  plot count turtles with [color = red]3 j# x' K" G1 B
  set-plot-pen-color yellow% @1 Q: x; O/ B0 t& ~
  plot count turtles with [color = yellow]
6 v# A2 a; Q; b+ j2 g0 m  set-plot-pen-color green
7 n5 d6 [2 e3 Q' M  plot count turtles with [color = green]. K, ^8 d/ K" S: N: {$ |
end
# Z$ E! R; e; ?& P  [to update-lorenz-and-gini-plots
+ D( L# z/ `. R+ N3 _3 i  set-current-plot "Lorenz Curve"
: x$ P; E- o" u* e! q1 x  clear-plot
  Q/ l* x6 H, \- ~4 E2 V7 m+ T% m4 W! E* o1 h7 H1 T
  set-current-plot-pen "equal"
# ^+ [8 E9 q% g# R3 d  plot 0  v. r8 ~" H% x$ H& w% h
  plot 100% H4 D/ T! S- O5 n

3 g& O% j$ E0 B. K  set-current-plot-pen "lorenz"
' s; W% l, D& ]: K7 T! o* P  set-plot-pen-interval 100 / num-people
6 _( X3 }* J" d  plot 0* W7 p( F9 ^) W

5 W0 U4 _+ U. ^  let sorted-wealths sort [wealth] of turtles' ^( x  ^5 e- I0 ~' [3 G! j
  let total-wealth sum sorted-wealths
5 {% `2 v9 j1 Q% q  let wealth-sum-so-far 0% M, ]" s7 q0 U; |" F
  let index 0
* s, m5 ~$ \9 E3 U  let gini-index-reserve 0' L; s8 ?! M. U& B
" s! g, f3 v! m: m9 D+ U
  repeat num-people [
& x+ [; O1 q" g    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
; a% o+ }! m; R, J    plot (wealth-sum-so-far / total-wealth) * 1005 W/ b4 @4 p% }3 |4 D& `3 x
    set index (index + 1)) X/ q; n+ m7 @- t: y" `$ ^- X# G
    set gini-index-reserve+ G3 ^+ x& ]- _! V8 J' u
      gini-index-reserve +/ R6 w& b& e7 J9 ?
      (index / num-people) -! H$ O) Z8 @$ f1 ~. L7 P
      (wealth-sum-so-far / total-wealth)
) ?& ^3 B2 N9 I- T! r/ ]9 I  ]& c/ |( A0 H/ b, }4 v. u# j
  C* z" [" V( @: V7 R! ]
  set-current-plot "Gini-Index v. Time"
* |+ W. {, {$ W' P  plot (gini-index-reserve / num-people) / area-of-equality-triangle9 ?2 \, k! I) n; s- J
end
0 E. G' ?; \8 g. h4 Uto-report area-of-equality-triangle: B7 ^* U, l% ^0 m8 v9 L( n
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
& v# N/ Z! v$ s3 k' Oend
 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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