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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
$ ]) ]% M; Y# a# @globals
' v+ z3 z7 _* j( d" u! N* E[
/ `5 s: k7 {. E. }7 f8 O2 R  max-grain   
0 p4 `& S' s( g7 p
- N. w$ |; R. I$ k]
5 K! i# W7 I0 r7 H- q# _2 v  q6 b6 Z$ {: s
patches-own# G8 n; Z) _0 [: u1 B  ]: B
[
! P6 H! ]& G. ?  grain-here      
, V' {) }& E" ^  ?, z* y( F7 `: i  max-grain-here  
( Z& T) q: |5 @# {; J5 H3 Q, c]
8 [5 o. S: j: ^+ l  u3 h) ]8 B7 ^1 L  z7 x) n% l% k4 }( _# [# B
turtles-own/ }( y, @1 p1 t( h4 x
[8 N8 b+ g9 s0 k7 O- e9 L8 b0 N4 n
  age              ( h) U  e! m; q" K( g
  wealth         
! w8 a4 n  ?# U( B1 `( e- y  life-expectancy  / B: [3 s* b/ e+ F9 D
  metabolism       2 p6 `: I) |! B9 o" {
  vision# M$ \- b2 C, ?9 q+ w
  inherited         
0 h" `$ Q* _) u2 P  z5 n% j) W2 T]
0 p6 u% x) q9 c$ n5 M. s
; Q0 A7 w% }- X, h4 U  h8 N$ [/ M. s
to setup- `9 A: R% L! ?# ]* M
  ca( x$ d* ]  F$ ?/ w# c' L; e
  set max-grain 50
! x8 x' j' d  [! K8 g2 V  setup-patches
# u% o: F1 R! m3 P) h% C; H" d  setup-turtles8 o9 M5 `  M1 g# m- R
  setup-plots, \/ f' ]! Y1 w  D* n
  update-plots. g9 w$ d$ X2 ^9 U, B% l; U
end% s) R! w1 E5 |6 J( [2 _
to setup-patches
5 T6 g) D( b. q1 _$ b0 h  ask patches
- ?& h3 a% n: a! W) V    [ set max-grain-here 0' T4 t6 n9 M6 k1 F
      if (random-float 100.0) <= percent-best-land
/ Z, V# i9 Z% ^2 t4 R        [ set max-grain-here max-grain
* b; P% `: h/ Q3 F2 H: i          set grain-here max-grain-here ] ]& M8 r7 }2 p$ W6 g5 ]
  repeat 5
- p* b: F/ k  R3 L; @; C4 L2 ~! m* {    [ ask patches with [max-grain-here != 0]
9 N+ p3 v6 p3 A        [ set grain-here max-grain-here ]" b; u" \" K' G- P; u' ]: Y
      diffuse grain-here 0.5 ]' L, X' }$ E) g, J* n/ R4 J; K$ f
  repeat 10
" Y% C* Z) O, u. u4 n8 O    [ diffuse grain-here 0.5]         
7 |1 ?1 _* `- I- H8 a% B4 z& W; J  ask patches
. E3 h3 ^, Z" m% }1 N) }    [ set grain-here floor grain-here   
3 _3 W% r, c  f& H9 n( c8 k- L      set max-grain-here grain-here      
0 U. r, z8 [7 t3 @      recolor-patch ]/ x8 u4 N/ g  E
end3 }3 Y- A8 g, E. O% J
to recolor-patch  
) f/ A  b, O3 k1 @; ]# B+ \0 m0 U  set pcolor scale-color sky grain-here 0 max-grain$ {" T- `& k/ m% C, p, b
end7 U4 \1 M: H) j- j9 b( U" d$ ~
to setup-turtles! {1 \! G. ^2 @+ R! Y% j6 m
  set-default-shape turtles "person"
! a' |% `! k3 o& r+ s+ T+ j: P7 _  crt num-people/ y; s( }$ L" }, Y) j. A* K
    [ move-to one-of patches  
* @- |0 q. e! {% d  q+ R      set size 1.5  ! P: ^+ S0 V1 l. }; j% Q. x; s
      set-initial-turtle-vars-age: _! A9 N$ x: C1 B0 h- t" z
      set-initial-turtle-vars-wealth7 g7 y7 q! n4 ^/ X9 S4 }% \  d
      set age random life-expectancy ]+ H- J4 s, d- A; `- l
  recolor-turtles
/ g7 o( T8 w: P' W1 ^: z# L( Mend
0 f% R0 g; Y* D) A8 i
) n! W6 y- {" N: p) {( T+ \to set-initial-turtle-vars-age
8 q9 m& C- ?8 y% _) W/ U& c: z; n let max-wealth max [wealth] of turtles
) H' F: L% s5 m- x% q$ y- h   
$ v9 L0 ^- H: v- f4 ]9 z     ifelse (wealth <= max-wealth / 3)" Y$ ^( U# r4 }  I' O$ T7 Y
        [ set color red
& ^% m( A5 X" z6 X- W          set age 0- k. T* p7 X; \, t
          face one-of neighbors4 ! o* ]- t2 k6 ]% s/ L! w0 O
          set life-expectancy life-expectancy-min +
* s5 k$ W1 A& z& ~2 P9 `, i; G                        random life-expectancy-max 1 X: E* L  V7 t4 C
          set metabolism random 1 + metabolism-low) t% `9 a- ~8 {1 a
          set wealth metabolism + random 30
! D, j% ?; P* _' X. a          set vision 1 + random max-vision
" X* Z" q) t) U( U  F             set wealth  wealth +  Wealth-inherited-low ]1 |- A' \% s& |9 y$ ]4 f3 s
        [ ifelse (wealth <= (max-wealth * 2 / 3))
* A8 `# l3 [. p, r            [ set color yellow
& n& ?, D9 q0 }2 x  Q( d$ n              set age 0
: S9 r" V7 O) V- W" I& z1 x              face one-of neighbors4
  w' z1 l( K/ R3 i! K2 F              set life-expectancy life-expectancy-min +
* C' o8 d) v$ n) L, C                        random life-expectancy-max + 1
# h8 u9 v3 b4 I7 B              set metabolism  1 + random metabolism-mid
/ q' p' k* h; G; e( M& `0 ~              set wealth metabolism + random 30
6 B# E3 |1 ~. p+ P              set vision 3 + random max-vision# B3 O) k7 M( e: O. F( f
                set wealth  wealth + Wealth-inherited-mid]
& p( {7 ?0 d/ `# A. k5 b! s            [ set color green 2 J1 D( K# J: E6 @) o: B9 ]$ l: Q
              set age 05 v& l0 F. a: A3 V  A$ g) l
              face one-of neighbors4
, ?8 [% m' G: P9 e+ U: K              set life-expectancy life-expectancy-min +3 P0 Q( V# L# z% M. ?' b0 F# [  o: f
                        random life-expectancy-max  + 20 i+ V/ Y4 u$ A+ o
              set metabolism 2 + random metabolism-up6 U1 D0 E0 x5 Y; b  O
              set wealth metabolism + random 30
1 ?, C" K6 W( p# q6 p              set vision 3 + random max-vision
8 e, X2 |6 [( \, k/ S9 ]$ E              set wealth  wealth + Wealth-inherited-up ] ]
0 ?6 o5 K. n% r# Z
, I, z7 T  B$ Gend# U# w" ]7 S% z+ ]$ j
to set-initial-turtle-vars-wealth
3 ]2 l" M1 j- P let max-wealth max [wealth] of turtles, f7 E- ~" _& E( K
          set age 0# J' U- ~" ~' n! y( h# F( c( q
          face one-of neighbors4
* u, a9 c$ [' v; _          set life-expectancy life-expectancy-min +" b' A8 D4 N3 w8 O
                        random life-expectancy-max
: g0 V$ j- J7 z9 {          set metabolism 1 + random metabolism-up
( b! [+ W; V; a. h. Q          set wealth metabolism + random 30" E, l' f3 b2 ]  \+ |7 r( J% r7 O# u
          set vision 1 + random max-vision 9 O  Q% o$ V# u8 M) M
end
: s3 @; P! U  l$ i: n4 X* Hto redistribution1 N/ S' F. C( R+ @8 j# e) |
let max-wealth max [wealth] of turtles$ ?% ?& _8 ]4 y7 ~# v$ n
let min-wealth min [wealth] of turtles
# u3 u# E7 i3 ]! m0 E( F" Yif (wealth <= max-wealth / 3)* ?9 j: h1 @5 m' U# r+ s' p
[set wealth  wealth + Low-income-protection ]- v/ q% _# ?' \  \/ ?" `" y
end: E7 }( E; H$ A1 t
         
# y: y2 y- o; ~- \to recolor-turtles
6 Q3 D- u7 v6 Z- B4 c% R  let max-wealth max [wealth] of turtles
6 D; b/ z$ g0 q+ c6 C( C  ask turtles* d9 _. O( B* t/ Y6 F
   [ ifelse (wealth <= max-wealth / 3)
7 L! Z& D( C. o* F        [ set color red ]
" K7 W- j* A2 e" _- U        [ ifelse (wealth <= (max-wealth * 2 / 3))" u. ~7 G% c3 S" l
            [ set color yellow ]
- }2 s% A. e$ P8 m# s            [ set color green ] ] ]/ W" B2 H" n0 N) Q+ T+ u
ask turtles [ifelse show-wealth?% _5 X. Z8 k3 B& W2 l, t( _2 }
    [ set label wealth ]' r% a. w& Z4 @
    [ set label "" ]]) C+ P5 c6 y( |  Q# C% D, U2 @
end
9 m# n* w3 B9 }. w$ W2 d; s7 F% Y( G/ O# K" @7 a
to go
% I+ \+ I0 Y" A% C: f/ p3 \  ask turtles# o3 O! y7 P, l" U
    [ turn-towards-grain ]  
8 X, E. Z& b. L- y  harvest
7 P" L) c9 _/ y* q! y: t! B  ask turtles
( u8 C/ N" z$ k5 M& a, m2 i& J# O    [ move-eat-age-die ]
3 `8 X) J! o* K$ d, |% k  recolor-turtles
4 A5 T! k) D) r  if ticks mod grain-growth-interval = 0
, D' W6 s/ N% ~& s# l: K% k2 g    [ ask patches [ grow-grain ] ]& S% {- S' e2 C! [) ]! O/ W7 ?
   ' t' o7 [, R- E, X6 e
  if ticks mod 11 = 05 W3 y/ Q4 R' {( E3 {
  [ask turtles( Q/ O  [( Q- ^( a
  [ redistribution ]]
: u$ y5 b3 p" x" N8 H, F6 X; o  if ticks mod 5 = 0
' T& e0 ]' l% H1 ^% e   [ask turtles
- b5 ^, t1 |: A3 n; q0 _  [ visions ]]" j! y' p. \: R0 r0 g
  tick4 j, ?5 l/ a, \* e0 T1 f. y/ C+ Z; f
  update-plots# x/ F% q. @5 {& A8 g, s9 C
end7 F& B! N3 D! n7 Z
to visions
+ q2 h; O( j2 p# A  A) b set vision vision + 1
" c/ I4 A1 X" b) t( a! send
$ f% M! a4 r1 a# {% a9 z3 w% S6 s9 u( [- w8 {
/ _. `0 `) l) C+ j4 y. ^1 r
( U9 S6 `# y1 F- y) e
to turn-towards-grain  . O3 i2 I, Z8 w5 f5 z5 R
  set heading 0" S0 o3 d% o+ o2 j2 ~- U8 A
  let best-direction 0/ M& k+ `2 O1 o! T* s
  let best-amount grain-ahead
3 z( O; f7 t, r3 _  set heading 90: F# U* _0 ~8 k" X6 b  l- Q
  if (grain-ahead > best-amount)
* M$ I. c/ \8 O4 o    [ set best-direction 90$ ]- i- k3 U4 Z9 \" [  k. y# b
      set best-amount grain-ahead ]8 Q0 g" M# [5 x5 N8 N. H) e5 r$ B( Y
  set heading 180
2 s9 D5 D% o# j' q7 z; _  if (grain-ahead > best-amount). [. L! y) \  N( ?2 O
    [ set best-direction 180+ J& S8 d% [- ?2 t, _$ u
      set best-amount grain-ahead ]. }4 N/ \. [3 S
  set heading 270
: ^) T5 e6 ~4 R0 b  if (grain-ahead > best-amount)
9 `) w0 ?. z. X: m$ P. l3 |    [ set best-direction 270
3 Z% Y, U1 ?3 b7 R9 K5 k      set best-amount grain-ahead ]
2 ~% L  J: x9 R3 s/ E2 D  set heading best-direction
" C# r. _- d$ Yend1 F$ _7 i3 \( q  Q- B* z0 L$ ]

# g; F0 N& C& E8 O3 M- q" s
- _, C; y) s$ I4 P8 Fto-report grain-ahead  3 c  R' j+ j0 i- u4 \
  let total 08 a8 X! f, v5 P  M; }- N
  let how-far 1
1 z5 R; w+ j& V8 R  ]$ V  repeat vision
1 Z0 c, U) `: _+ H    [ set total total + [grain-here] of patch-ahead how-far& [+ h" @9 N# R) t
      set how-far how-far + 1 ]
" P3 _0 {, p6 k- ^9 t! M  report total
. B% V# Y& F5 @2 v) Fend
1 T/ c/ c! h0 P; J" O1 ?8 |& s" k
to grow-grain
) T' _" L* O- {1 p  if (grain-here < max-grain-here)% o6 _0 r5 h  b
    [ set grain-here grain-here + num-grain-grown1 J% i+ [& a1 [7 F4 j* x- I
      if (grain-here > max-grain-here) ) `5 s& t3 T8 H3 z! D  u
        [ set grain-here max-grain-here ]5 l, ]$ }$ x, ?8 d7 i9 P; U
      recolor-patch ]8 j/ z8 F" P" n9 |
end
: }% X9 q0 L$ ?' h/ K6 uto harvest: \. n! l& q6 S4 E
  ask turtles
$ ]  c) Y' a/ D1 U$ i6 k/ m    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
2 ~4 C6 {1 f; G3 X  ask turtles
& Y; f& k$ {4 ~# B9 n    [ set grain-here 0
2 v9 W  y$ {) K" _# }$ B      recolor-patch ]/ j1 J( _0 ^: Q4 G' k: x
  
: W* ~. A0 B, ?( P! A  [7 F3 Zend
; y8 ]) F) w7 d9 y* }6 f* h3 z3 L9 ~2 P4 {: U" o+ Q' j' j. n
to move-eat-age-die  4 Q( Z# \5 G, e9 M' U- G+ u
  fd 1
6 S  q$ O& u1 P$ O- L+ Z) K  set wealth (wealth - metabolism)
9 ], m5 W2 a1 a- e- N    set age (age + 1)
1 o3 d) t6 E4 Y3 ^" [  if (age >= life-expectancy)
5 ~' a# i- J! R" C  M    [ set-initial-turtle-vars-age ]
7 B2 {  z( c! ?8 L+ v  if (wealth < 0)
0 G4 l( j  u! f5 e    [ set-initial-turtle-vars-wealth ]5 q5 l6 I" G/ p! q" o! Q
    " Z, @$ t0 E0 i
end0 C  ?; r2 |% m2 N9 v

* X& j1 e) w+ Q9 I  ]" ?+ n6 V4 F0 I* z3 Y" ?
to setup-plots- y1 _' M1 q% b
  set-current-plot "Class Plot": M" Q6 P. H/ |8 ]$ A
  set-plot-y-range 0 num-people9 O7 P0 j; w1 `+ W
  set-current-plot "Class Histogram"3 D! b3 ]( j0 t5 O
  set-plot-y-range 0 num-people
; y" c- m  f" C" R5 ^" {! z+ O6 Kend) [" d  L2 d1 [9 b+ A2 w

* s  Z  `3 B4 `% j5 i  z" Tto update-plots& ~7 c: z3 n$ S7 l7 B
  update-class-plot
( {, r1 `6 ?! l1 C% |  update-class-histogram  B& C7 O  H& @, V
  update-lorenz-and-gini-plots$ a: l( j6 Z% ~& S& C
end5 P9 s1 X/ j6 m9 x

  N6 m7 J6 y2 E- b4 o6 Zto update-class-plot
* X! r! Q2 _4 H- T4 R$ N% q  set-current-plot "Class Plot"' M( L+ q' }/ X) c/ v
  set-current-plot-pen "low"
3 ]- V% F7 |" V/ t) K6 a- ~8 A  plot count turtles with [color = red]
9 x  a% C/ R; U* J. r  set-current-plot-pen "mid"
9 ?+ x& g3 o/ U% Q6 u' d  plot count turtles with [color = yellow]
6 D- a( o$ O% p( ^  set-current-plot-pen "up"# m+ ~* z3 o2 \, a* X: w8 R
  plot count turtles with [color = green]
8 }  F$ F. ^7 k# o; U* U5 K2 xend, t* R' g0 N7 l, s  ^

/ ?; X: X' |4 z0 ?% A- xto update-class-histogram, g/ j2 a" c$ R0 g3 f* B8 j9 w9 j
  set-current-plot "Class Histogram"
& R; B7 l6 A) q5 ]1 L  plot-pen-reset
. m, p$ t, B6 b& n  set-plot-pen-color red$ T" N5 u- `% U0 d$ M* Q& p9 i
  plot count turtles with [color = red]7 {' h" ?1 d- k! X; |1 S: l% g
  set-plot-pen-color yellow
5 [, l3 n, _, D5 `2 T2 F  plot count turtles with [color = yellow]' B1 C5 i; _7 H$ z% g) A  `
  set-plot-pen-color green
3 V( |7 Y4 |0 P- {9 `) Q! |  plot count turtles with [color = green]
' F; I9 j( q" h- H2 I0 _end6 ]# J. h6 X: ?1 k
to update-lorenz-and-gini-plots
6 |  w1 @+ @$ n2 n  set-current-plot "Lorenz Curve"
& g* w3 J2 L* n- y& L  clear-plot
1 L8 k; ^3 o, R, h6 O0 p9 t8 @5 D( K* S6 V  ?
  set-current-plot-pen "equal"9 O1 {1 V6 t- h# J* P5 M4 b
  plot 0
8 z3 n* p$ p0 T' \2 e  plot 100' F% b5 R, a- Y& C0 S: A* ^, j

, J7 ^0 m- e8 S/ T  set-current-plot-pen "lorenz"3 a9 Q5 V' N2 T' O5 T$ [( Q
  set-plot-pen-interval 100 / num-people
( ~. G' X# m; {: W& r5 s  plot 0& ^; X9 ~+ X- D0 H$ ~$ }4 o. G2 F7 R

$ }: q. @% F1 U* x' [/ a4 t  let sorted-wealths sort [wealth] of turtles
4 E5 e- x: e2 G2 e5 G9 H7 E  let total-wealth sum sorted-wealths
9 L0 c% \" R! }5 f6 `. B9 ]9 v  let wealth-sum-so-far 0
4 X5 E3 n* T0 ?$ _  let index 0
% f3 ~) Z' h- `  let gini-index-reserve 0
4 n1 R7 R) A5 n# z' g& }
; `. B) G, r) n6 K( Y. _  repeat num-people [: a3 V6 D/ Z2 L$ h0 f# [, D2 T
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths); ~; p- g4 i: z& c" G+ \4 W$ N
    plot (wealth-sum-so-far / total-wealth) * 100$ t6 S$ n) c2 V7 a) X- }; ^
    set index (index + 1)" \8 A7 _& [8 X; Q( {$ K
    set gini-index-reserve* A& V5 t3 i* |  C  c" }0 k: U
      gini-index-reserve +! z7 u& `. ^* p5 u/ V, l6 n. c2 `
      (index / num-people) -! w, J& Z. ?# M' k$ G2 t9 `; [
      (wealth-sum-so-far / total-wealth)& T7 V  h5 @  `- u5 o4 a% O
  ]
1 u  M9 W' r/ E8 a2 W5 m
- f% T& T2 ^8 s4 P: |  C  set-current-plot "Gini-Index v. Time"+ L1 E! g( X& H5 m" _
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
/ o* Q+ X7 Q2 ^8 fend; w1 l* _- L3 p3 T* W3 e/ P
to-report area-of-equality-triangle
  G1 B) b3 c' Q2 P+ j$ O0 T  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)$ |& I4 c; S8 R: C# K
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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