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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! H. c& F0 S# ~! bglobals4 K- a- R; m# I% ~/ s) ~' V
[$ @* G# \" T- [; q& D3 ]
  max-grain    , h8 x* }3 d. _' N$ H
7 n. X& _0 w! e8 {5 `1 G9 `
]
! Y5 _5 y- D4 t$ v: M9 |, s7 h
$ F5 E7 `4 U; B6 Apatches-own2 R) x% i' a# j1 S# ~0 L
[
  j- T( [# K. d$ X1 K  grain-here      
: X! y3 C6 T3 u1 k. x* ^  max-grain-here  
5 s$ R8 n7 E" x1 p3 l]
' P( A0 J. L/ f  q( r9 K7 u
, j( d, E! Y  nturtles-own- u7 g. J& ~( L
[
+ I5 x5 z8 b+ \/ ?; ?2 A  age              
* \9 g) G. U, [1 J3 v8 e  wealth         
8 [* o  o$ e; ?# f" E' g  life-expectancy  - z3 ]# U5 y0 O/ m/ |$ `  I+ h! _
  metabolism      
/ ^6 ^' x9 n; E- a' a0 B# i  vision
, I, }5 ]- o! P# b9 B: W# a  inherited         
+ u5 S6 H2 f5 i' z  W]
' i' q( F  g- }* T5 {+ q
5 L. m  m) J( p5 |6 F+ [& P
: k1 E+ H' ^+ z4 cto setup9 {* ~+ w2 b9 |) G9 W" h7 b) E
  ca  k" T8 ?0 P: |' I' n. P
  set max-grain 50- J4 A$ k4 w, Q6 }
  setup-patches, r! ]/ U* |! A2 y  U
  setup-turtles1 x4 g8 M$ T, X
  setup-plots! c$ g1 Z$ O  a4 p7 W
  update-plots; @) Q8 P4 }  N4 J; P% \2 t0 V% O
end
4 v- y5 e  K8 ~, L1 xto setup-patches
& Y3 r4 C, F- D/ N3 A7 P  ask patches
1 |" G& b2 l  y9 h    [ set max-grain-here 0
" `$ Q5 m8 d$ x% V- M  M      if (random-float 100.0) <= percent-best-land6 V1 r3 |' L8 N! A7 C7 o- h
        [ set max-grain-here max-grain2 n3 x2 v' l8 F8 \/ ]
          set grain-here max-grain-here ] ]& k: e4 e3 X2 ], W
  repeat 5
9 [# }3 ^0 L% ?* U/ h; ]% ?1 @; ]    [ ask patches with [max-grain-here != 0]: y4 K+ D+ ^$ i8 ~7 w6 e& m# O- H( `
        [ set grain-here max-grain-here ]
# w8 k$ i7 r6 V      diffuse grain-here 0.5 ]
* R) e- @/ a7 l8 A7 `  repeat 10
1 k! F  o0 K2 x: ~" A    [ diffuse grain-here 0.5]          0 e" F% {3 g8 }1 J% q
  ask patches$ q; N9 z& I9 ]' [  K/ b, u; s
    [ set grain-here floor grain-here    6 g( {& d" Q: Y, v, p1 J
      set max-grain-here grain-here      
( w* U) O: C$ X8 `$ N      recolor-patch ]
& `4 ]1 B7 `& X  Fend
  z: z7 |- A$ U6 w0 H/ Ato recolor-patch  
& W7 F: h7 Z, x  n, x  set pcolor scale-color sky grain-here 0 max-grain" d, a8 @+ k. H8 p* R
end
: j. E' L: O  s! Kto setup-turtles
9 H; D. e% J0 e0 e  set-default-shape turtles "person"/ f2 h* e: ?+ b9 J8 Z- g* }" Y& A* m, j' D
  crt num-people
  I$ ~6 A; W& A1 i9 S( |    [ move-to one-of patches  5 j" K9 D  H% |) l0 K
      set size 1.5  4 X5 H6 s( `# z4 R3 h1 V6 n. _
      set-initial-turtle-vars-age
6 X- @$ s2 A5 X% O      set-initial-turtle-vars-wealth- k# l1 V& t. K
      set age random life-expectancy ], d2 q! Z9 E) h% }
  recolor-turtles, \9 L  X1 k* |7 T" n
end  F7 b, N5 I1 P* _* B* Y
# h2 M' g+ R' O; ~0 `7 q! V5 z
to set-initial-turtle-vars-age
+ z# G$ ?. U* ]0 x5 } let max-wealth max [wealth] of turtles
' H# D, Z2 X! U) F; n, s8 O  z    ; E- b; \2 E0 h4 u4 z, D2 g# ?4 O) L
     ifelse (wealth <= max-wealth / 3)! ?5 h3 }4 s5 T) A
        [ set color red : [( Z( L  L3 q
          set age 0' V/ `: U2 O6 B. z9 L: r
          face one-of neighbors4 + j' ~) o. Q) `- M; E! e
          set life-expectancy life-expectancy-min +
' C% T; Q( S! T, J9 v* F) C5 [                        random life-expectancy-max
$ _) B  R9 W# J% q  r          set metabolism random 1 + metabolism-low" c; k. J7 q0 c; p! E
          set wealth metabolism + random 30
/ O7 L5 o# f/ k) L% F: _% ?9 q          set vision 1 + random max-vision; g6 k! S* Z/ [" D& r, O+ r0 s+ Z2 b
             set wealth  wealth +  Wealth-inherited-low ]
& L, f9 N; @; ^4 J* d' j        [ ifelse (wealth <= (max-wealth * 2 / 3))
+ I  B' g/ R$ m+ V% D            [ set color yellow . T; K( O1 d# Q- o, Z
              set age 0. H5 W! t* N6 d0 M! b
              face one-of neighbors4 6 |8 j+ Z& Z- t- O$ V
              set life-expectancy life-expectancy-min +
! w( C- i5 i! ]4 M: v  B: }. [                        random life-expectancy-max + 1
- g1 v( B- e+ j$ M- o# k              set metabolism  1 + random metabolism-mid9 f4 @3 R7 V' H3 D5 J' p% X
              set wealth metabolism + random 30
5 O6 @0 x  q  b5 }6 k              set vision 3 + random max-vision" O5 h% t* p( H3 i! I$ A
                set wealth  wealth + Wealth-inherited-mid]
1 ~! V4 F7 ?0 A4 d0 \/ ^            [ set color green
) z) {. r, f: w& P              set age 0
; V9 h" p; r6 [) Q8 Y% X% f              face one-of neighbors4   \% w9 j0 }6 ^  s/ h0 K
              set life-expectancy life-expectancy-min +, I& R3 z$ k" n$ j
                        random life-expectancy-max  + 2
" _4 U' B% R4 z" D2 O              set metabolism 2 + random metabolism-up
. V! {) r, r4 F) e0 Q              set wealth metabolism + random 30% X. G+ ?* ~# ^, ?3 A
              set vision 3 + random max-vision
  ]4 l, J  v7 p7 f" i8 \, ~              set wealth  wealth + Wealth-inherited-up ] ] ; T1 n& z7 \2 v4 o, n0 E& j8 M

1 I3 |* g, F' m6 j& Q  ~end
! r- w% Q( V/ W8 b; \2 vto set-initial-turtle-vars-wealth
8 k! Y8 F# g  [6 I9 l+ C let max-wealth max [wealth] of turtles
6 V9 H! A3 i* X  I* T          set age 0
* H+ H- B0 d& }4 v/ @. p0 o          face one-of neighbors4
1 C7 A' G6 G( x7 }# \8 r: `          set life-expectancy life-expectancy-min +, p, G, Q$ ^9 _& t: C; F
                        random life-expectancy-max
! z6 o) O% }+ Q: y# L- z          set metabolism 1 + random metabolism-up
# n4 z- F0 ~& c) U# H' M          set wealth metabolism + random 30
3 g2 y$ y2 E& W( O! Y          set vision 1 + random max-vision
- V2 W4 k- T  Z* L; O% dend
+ k. `3 f8 ~. E* N$ J. [  ?to redistribution1 j( H; V; W* x
let max-wealth max [wealth] of turtles. a) i! t/ t8 e5 u" h2 J3 Y7 k* X
let min-wealth min [wealth] of turtles
, Z" E/ Q& O+ U0 G# ^* Q" M; t1 Vif (wealth <= max-wealth / 3)' i- B/ r3 @5 v4 o! K( b9 @* h
[set wealth  wealth + Low-income-protection ]6 p; N2 S$ `5 z4 r+ t5 g
end) _. E) x1 i$ F( \$ P2 o
         
6 ^+ M) n2 [" S. U1 fto recolor-turtles) Q3 g- W4 q' U1 {/ K) W
  let max-wealth max [wealth] of turtles
/ m) T  J9 k+ G- ^- z9 `& V  ask turtles3 H! \9 Y+ ?: Z$ A. x
   [ ifelse (wealth <= max-wealth / 3)# {# d. r# h5 S* I) Y1 ?5 @
        [ set color red ]1 ]& z! b+ k$ Y/ M
        [ ifelse (wealth <= (max-wealth * 2 / 3))
( ~6 K" O5 z. }7 K& X  p( ~            [ set color yellow ]
  u3 m9 b; Q/ l            [ set color green ] ] ]% i5 `; W* i5 m+ d- v
ask turtles [ifelse show-wealth?( x2 r0 f; e- ~8 l2 F
    [ set label wealth ]
% R) \% s4 t3 g; @: J    [ set label "" ]]
' `( l8 P, v1 F. ~/ Iend2 }; z, I! h- V6 b4 J7 o9 F

) A( z" J( c. m- r7 s9 j9 C/ Dto go! i8 a) T' D5 s8 B2 |
  ask turtles
; K6 Q& X% Z) o, w7 Y    [ turn-towards-grain ]  * T& |9 k! {% B$ M, N$ o1 ]
  harvest. p9 y- F0 ^) J$ @0 G0 ^& U- G
  ask turtles- V+ E. S# Z; t  f
    [ move-eat-age-die ]
7 A! V; \3 c- H) w  recolor-turtles# f2 p9 R9 w' j# I2 T' g" q4 ]5 n
  if ticks mod grain-growth-interval = 0. w: X. m' T  l" @- C0 s
    [ ask patches [ grow-grain ] ]
+ |( t+ G) j5 C  I+ f   
, r; ]. x7 {3 D  if ticks mod 11 = 0
/ O. c+ R4 |+ |7 i7 v  [ask turtles% C% w+ o3 ^% C3 b. r6 ]
  [ redistribution ]]
& e% r3 l! Y7 P* f; r% b  if ticks mod 5 = 0: {9 V! e6 ~0 {. h6 y( u( Q4 `( N
   [ask turtles5 u5 }" C' ~: F
  [ visions ]]$ e/ k9 W: R9 a8 e: J
  tick# C$ h9 K: L. Q* R4 }* [4 m& F% t
  update-plots
- F4 d) O0 @+ R# L8 P0 Lend$ Y+ Y% H5 a3 o  b" J& L  a3 T, P
to visions
7 K. g3 y" b3 r0 N set vision vision + 1
/ ]- V8 v; u2 F1 N# n! Y; S7 J/ Hend5 e; ?* d7 @3 J! s) z: {
7 z' V! s5 Y8 j, }$ p4 {0 E

1 U+ D7 K+ m& U; L
1 B: z* J# U, Y5 wto turn-towards-grain  ' ^4 s) I8 l6 h2 z0 ?& Z
  set heading 0, z9 w0 z* F3 `; T- x
  let best-direction 09 ]8 E8 O$ V$ @0 s
  let best-amount grain-ahead8 ^# h( `1 Q7 q8 V( k/ j  K
  set heading 90
9 d4 L+ d5 a6 \9 a! S& l# j$ ?  if (grain-ahead > best-amount)
: }8 k7 w9 [* l, H! u    [ set best-direction 901 T; u2 w9 Q0 f4 l6 W
      set best-amount grain-ahead ]
" |. F) h+ b9 T3 V+ c8 P  set heading 1805 D$ P/ X0 S& O) N
  if (grain-ahead > best-amount)3 ^& a" i. F8 M3 T; w
    [ set best-direction 180! f) D. e. C: E2 b6 Z4 F, Q9 |4 D1 \$ S
      set best-amount grain-ahead ]
9 X! \; C1 m" `. _8 l8 d% U  set heading 270  p6 R7 [; v0 N) k9 s$ W
  if (grain-ahead > best-amount)
' d) v1 P" z$ h) l5 ?$ n    [ set best-direction 2703 i5 V) f: S' a) P' e" [1 P
      set best-amount grain-ahead ]& H4 s5 v/ T; v
  set heading best-direction
. t6 o. c" n" }end
0 j# r- M7 M* S$ E$ u1 |* {  e1 P+ o6 k2 H$ w$ g: g

7 i6 }5 l3 C- F5 v3 ]; L4 h: @to-report grain-ahead  7 a1 c9 B- @6 ~4 |: x- J2 F
  let total 0
) R  Y  |( ]+ b6 J; G( ?- e" o  let how-far 1+ h3 z  x4 s# m4 P9 N$ R. G
  repeat vision4 ~" Q0 m4 Y3 G- e" i
    [ set total total + [grain-here] of patch-ahead how-far
" u0 h7 e, b, B/ C) a1 T      set how-far how-far + 1 ]
$ x/ W! w8 e9 ~  m; S  report total
0 p) D. M6 U: d# X" r+ @# e6 Wend
: a' c$ e7 P6 G$ l2 I4 _
% m; ^5 Y8 q3 [: `* xto grow-grain 6 R' K8 v3 G4 m0 t  `6 r9 |# [
  if (grain-here < max-grain-here)/ b/ f- z2 k  F- I8 e  Z* Q
    [ set grain-here grain-here + num-grain-grown
/ d, o1 t  G. A2 F- Z+ u      if (grain-here > max-grain-here)
) q! q4 n) c9 s9 }  @  N  ?2 C        [ set grain-here max-grain-here ]
0 F" [( R5 M, d% t6 e& f* Z      recolor-patch ]! M: a1 j% s. ^6 R$ o  O, ]4 }% d5 d# Q
end, E# l4 Y+ Q  Z  B2 o: Z6 P0 a. A. `: T
to harvest
, l( _  y$ E- z  ask turtles" O% W' T. ^8 G4 I& L/ I3 P5 C
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]/ X; R& |: m" ]4 Q$ B" R) C1 }
  ask turtles+ \" h- H6 y) v* q, T0 m9 o$ g  ^
    [ set grain-here 0
9 L1 s/ ?' A, T3 V      recolor-patch ]
- E3 \8 I) s7 o9 V: J2 k  
% {, J1 m5 H' C" D  `3 V& mend, K: p# G  k1 @+ A- @7 N
8 [+ O* ^. N3 i& ~( B9 r
to move-eat-age-die  
7 y7 o6 y3 \0 Q3 m, N2 @  fd 1  h5 O3 c9 c; y" [& S" d# W; Z0 r
  set wealth (wealth - metabolism)* D! V! }0 N- I, k
    set age (age + 1)  V9 H. Q8 s, ^2 |& J
  if (age >= life-expectancy)
0 M3 g/ Q' o, K    [ set-initial-turtle-vars-age ]
. S" S) }" `  E4 p0 p  if (wealth < 0)& T1 S* \$ ^2 |; u
    [ set-initial-turtle-vars-wealth ]
/ `: @5 Z' A/ r    ; {' C1 _+ B1 q) o
end
" t! _/ V6 x9 r) {' K
1 A+ f/ i0 F  |) i+ \
1 @6 E9 w5 D3 U7 {, d0 c9 Rto setup-plots
) u; Z# L8 _; c- y  set-current-plot "Class Plot"$ `% n9 S0 g1 A7 ~7 f" y
  set-plot-y-range 0 num-people
3 \  D; @2 z# X5 L  set-current-plot "Class Histogram"
5 L& }$ |. h2 ~4 @* \% e2 S  set-plot-y-range 0 num-people+ x- B3 E  s/ s. ~+ D6 E
end4 K7 \  ?& Y, m9 `6 k. [2 A1 X/ f
7 e) T3 ?% W  T, O* _0 j7 P
to update-plots' Q* g% o* x3 w! [, h5 k
  update-class-plot7 R  z! R* H; P5 V
  update-class-histogram& x7 |7 J$ s" ]# w% q0 T/ Y
  update-lorenz-and-gini-plots$ q' q6 G: `9 w1 `, w" |( z" b
end4 n( l1 Z1 m# z) @

9 w& t! [/ \: J1 uto update-class-plot
" Q3 D* s) ^/ I  set-current-plot "Class Plot"/ x! e7 R/ K( [8 O* D) f
  set-current-plot-pen "low"1 P9 }6 Y; K% l" Q
  plot count turtles with [color = red]
/ T! X/ }# a! o" `# S# M3 O' j/ J  V  set-current-plot-pen "mid"# B* x2 w5 A0 g
  plot count turtles with [color = yellow]
5 H7 j7 f, N: b4 {4 t/ b  G  set-current-plot-pen "up"6 a7 E0 c! ^4 W" X+ h$ V
  plot count turtles with [color = green]2 Q8 t1 l$ X0 v) x/ U. }' v
end
  q. t1 F3 z* F
) g: K# ~* j5 T2 Jto update-class-histogram) X. C: W7 s( v4 ^7 W
  set-current-plot "Class Histogram"+ c. V3 D. b6 q1 s/ Q  f5 A
  plot-pen-reset
, C& Z5 T6 V6 _1 h8 Z  set-plot-pen-color red
" J, F- a& d0 ~" g/ W$ x  plot count turtles with [color = red]
2 r7 g" ~5 B" _( Y& C1 a  set-plot-pen-color yellow) Z! w0 {: w: n( g# Z! w* t* [
  plot count turtles with [color = yellow]
9 P3 Y1 q9 k/ d  set-plot-pen-color green4 F; g/ e: m9 Z# {9 q1 f6 e
  plot count turtles with [color = green]0 d8 U% q3 @4 V5 b* O* m
end6 w% a* w1 V+ d/ p
to update-lorenz-and-gini-plots
3 A3 }$ r$ t+ a6 w4 s7 r  set-current-plot "Lorenz Curve"9 A- r  \+ z/ g, h+ |
  clear-plot! l$ d& I% p1 I! d5 P# P

' n2 U$ B, K6 T  set-current-plot-pen "equal"
0 l4 ~, l9 q7 @  plot 0
$ e* m* E7 T8 Z  plot 100& c" m) x. @% z

) B% u" j. ?5 U1 w" i4 J" a  set-current-plot-pen "lorenz"
  D5 d, M' f8 z' c' s* [; t  set-plot-pen-interval 100 / num-people
* e0 u% M. y! n5 \" T  plot 05 j) I4 U: x/ l) h" e
2 z6 |% ?' E; H, A: {
  let sorted-wealths sort [wealth] of turtles
# g$ w' P' ?9 x. U- w( Z" D  let total-wealth sum sorted-wealths6 h" y0 [: h+ D) Q3 a0 Z0 S
  let wealth-sum-so-far 0
' D9 w* Q! V( Z5 f, J2 y+ Y2 ~  let index 04 O% x4 ?' t: }9 ?" m1 |
  let gini-index-reserve 0
% d8 \' o) u6 }9 x9 a2 t3 c" ^
2 U. U. M' ~7 E' d+ D  repeat num-people [! R- l" e4 K2 @$ L
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)  q- k' W' I2 O! l! v, O6 F" a: ^# h
    plot (wealth-sum-so-far / total-wealth) * 100
; F& W$ z& ]; w5 [* l8 w4 \    set index (index + 1)
  n4 [& E5 D, v    set gini-index-reserve0 p8 x  l3 g% P/ J; }
      gini-index-reserve +
7 W" X$ H, T( m* y+ k- [      (index / num-people) -
9 C" v0 v& N. ^& b8 s$ O, \. }7 u; X      (wealth-sum-so-far / total-wealth)8 z3 R; [# N* i
  ]$ w$ ?5 \# n% `- E! \# f& R: w
+ s( f! T( C. a) |: `
  set-current-plot "Gini-Index v. Time"
9 s3 e. P) X/ t7 v; b- A  plot (gini-index-reserve / num-people) / area-of-equality-triangle
* S# N# S; B7 h: ~/ y6 Jend
1 }, Y# k, Q( ?to-report area-of-equality-triangle" \5 N1 g; [# f4 Y8 u( U; j
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
% B3 q" L# L$ z9 J! u7 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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