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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( b: ^3 }2 p1 ^' S6 [! n# R4 n
globals& \6 C9 Q# U9 i+ P
[' Z5 s$ _$ ~, ^6 M
  max-grain   
7 j; h9 a. T; o% a3 j
/ E: ]1 p. \" V; Q" Q4 G, n/ ~]) g* n- D6 s3 Q) f; G
  f8 A& w% R4 e8 ]; x6 e! ?6 j
patches-own
) h' }3 s1 u* w9 g[
( j- K* r6 V( p% f1 p  grain-here      2 D7 D  q1 |' P7 F! q5 Q
  max-grain-here  
/ W: a7 |' n/ r]
- m3 m( N7 p/ x1 z) p5 k$ ?: {1 c/ V2 {1 g6 }
turtles-own
9 J) P7 s/ _2 L$ h6 \4 V0 p, U3 U[: w0 m; i3 t1 k% r: N- t
  age              
; e/ {# t7 S6 }& U  wealth         $ C1 {. S9 p( I* K, [+ b, k
  life-expectancy  1 R5 e. g1 P  q# E- J% [  }
  metabolism       , S, w% f$ i0 |* V4 V
  vision
; ^1 ]- i6 ?$ O; k  inherited         
8 E) N9 h5 F8 n, I) w]3 I# k. t# I3 ~: n: a

8 H9 s3 i4 {' f
5 C1 c( I0 b" Z; {to setup
1 |/ @7 a# D# E' i  ca( D" d5 b$ I6 d) ^; Y, @
  set max-grain 508 r* R, y8 x# f) `/ l/ Q
  setup-patches3 z* E1 Y2 e- E1 Z
  setup-turtles. K9 E! _- {( I$ ^; h7 S; B
  setup-plots& m# z/ N+ M; g) O# t1 P9 r4 ~/ b
  update-plots8 c7 e' i3 p; J9 p3 L$ S
end# M  \* ]; }3 i$ r3 A  H
to setup-patches; k# ?: i+ s' v& w- G% h2 A
  ask patches! e5 L" D( u, J; m
    [ set max-grain-here 0
# Q) Z( }8 B4 g      if (random-float 100.0) <= percent-best-land
, K( i( |$ D. I+ P6 E: p        [ set max-grain-here max-grain
8 v6 j4 x& @! n0 H) d( o          set grain-here max-grain-here ] ]5 U# @8 N' R( r* t0 L8 w- ~
  repeat 5( b- D& [+ F6 k) f% ]2 ^
    [ ask patches with [max-grain-here != 0]# \8 |! R7 }; i' c
        [ set grain-here max-grain-here ]& O& S1 b% Q2 F6 R' g
      diffuse grain-here 0.5 ]# f+ O" z! ]% J6 g( q5 k2 J8 k9 {
  repeat 10; L  @+ f) W7 R
    [ diffuse grain-here 0.5]         
$ m6 h& F6 q) G% |  ask patches4 S& Q: {0 ~8 N, N/ l
    [ set grain-here floor grain-here    , W1 }- e0 L; V
      set max-grain-here grain-here      4 \7 _1 @* _1 w% T' ?! [# u
      recolor-patch ]
/ R" y3 S' w% e& `0 P. g- \  kend
; Q8 u7 W  R; f. gto recolor-patch  
/ C* N- m7 h; \% h  set pcolor scale-color sky grain-here 0 max-grain
) P$ X7 h9 J, S) vend
& S7 X4 o& g! J6 @# V& W; Vto setup-turtles
" \- R5 }% ^! j! u) e8 x  set-default-shape turtles "person"
0 I# B2 S* _9 v  crt num-people
4 m' V' I% g$ M; g6 o2 U    [ move-to one-of patches  
7 p, y8 H& Y8 J1 X$ Q) {3 X3 m      set size 1.5  9 O0 v9 P9 h" C- ?
      set-initial-turtle-vars-age' s5 a) c5 Y' Y. w$ I. [
      set-initial-turtle-vars-wealth
$ Q3 u4 F$ w/ ~7 v! b' h+ N# A      set age random life-expectancy ]) y% ^" q+ b! j: Q4 P
  recolor-turtles
) p# Q% K& b, ]  `: ]9 kend
" x3 p+ a3 [* E  L0 i7 D5 ~
, J. J! ~. D/ d' e! |: qto set-initial-turtle-vars-age
5 a( x; j4 Z: j! }2 f let max-wealth max [wealth] of turtles
, C0 x: ]: o; J: X   
5 h& ~3 l. r& F     ifelse (wealth <= max-wealth / 3). q/ u3 F1 S% f9 ~' D& W
        [ set color red ( O& K3 I- ~; P* E, O
          set age 0; O  h& e8 y3 d% R
          face one-of neighbors4 : f1 N% c. i8 _
          set life-expectancy life-expectancy-min +$ Y, r" y4 U# c% ~+ u* ^; y
                        random life-expectancy-max
4 W# ~  |3 r; h7 L+ l  N. ~          set metabolism random 1 + metabolism-low
* R6 C3 j2 t7 d$ q          set wealth metabolism + random 301 ?4 R8 @6 i4 `# _4 \/ R% z+ J1 j, D
          set vision 1 + random max-vision
, Q9 C; O3 ~, z: G  S             set wealth  wealth +  Wealth-inherited-low ]
7 g" e2 E5 ?2 R8 ^4 w9 l/ |. X        [ ifelse (wealth <= (max-wealth * 2 / 3))% C  V  E7 h0 v
            [ set color yellow 7 K+ ^5 O3 w9 t# B' o# j
              set age 0
" ~6 Q0 L  b* ~- |              face one-of neighbors4 3 K+ K$ t! `  _! C
              set life-expectancy life-expectancy-min +- u* R- b1 B# [) ?2 k
                        random life-expectancy-max + 1
! t$ ~+ g. S% |+ s1 C' z              set metabolism  1 + random metabolism-mid
" |* Z* l9 j/ e# r- K3 ]              set wealth metabolism + random 30+ ?; u( E7 [" L! C( Z
              set vision 3 + random max-vision3 |, E, T' p( N
                set wealth  wealth + Wealth-inherited-mid]
: \( K2 F4 w$ I1 F5 x            [ set color green
0 y- f" [. R/ J  G" _; e              set age 0" p- }9 n+ P. h$ [9 m
              face one-of neighbors4 # q7 j* @- c3 C1 b& s
              set life-expectancy life-expectancy-min +5 b# g  ~$ T2 ~. y! W5 R; o# a: Z# R8 U
                        random life-expectancy-max  + 2
9 R, X8 R8 ]5 c" H  H& p6 Y              set metabolism 2 + random metabolism-up6 {. Q% Z8 y7 h& A7 X- B% {
              set wealth metabolism + random 30
+ }9 u( X* }! e! p/ _+ ?              set vision 3 + random max-vision6 y! P2 U' G7 X: X; W1 _
              set wealth  wealth + Wealth-inherited-up ] ]
. M8 i1 R( F1 h  ^ 4 E2 X' p3 b0 t! @% D
end
" q; n# |4 p# F# Y# cto set-initial-turtle-vars-wealth
6 P1 Y  ?% W+ P1 M8 N+ | let max-wealth max [wealth] of turtles
, S+ f& X) m) ?+ L6 ?          set age 0: l* X7 G; M* _/ K
          face one-of neighbors4 & W% Z0 ?" G3 I+ k1 I
          set life-expectancy life-expectancy-min +
9 \, r* U: v4 T6 N                        random life-expectancy-max 5 J& O' W& O- e3 x
          set metabolism 1 + random metabolism-up
9 l( Y+ s3 E; @7 H, A" _* s          set wealth metabolism + random 30$ v( [: h2 o& t! r' Q5 f* u
          set vision 1 + random max-vision 9 V& o' ~; G! ?
end
( h$ G% c" K5 {* R; T% Z0 m: U, d; xto redistribution
8 X" h8 y! d* \. elet max-wealth max [wealth] of turtles
8 m% \% N" v5 v/ _6 e% x( R5 slet min-wealth min [wealth] of turtles
: ]8 a5 [8 f, c0 l0 V7 ]if (wealth <= max-wealth / 3)
/ H  R/ K: _7 s/ Y) e [set wealth  wealth + Low-income-protection ]
+ b# E. K# q2 {: F+ m  x: s4 U7 Dend
0 p" U2 j. L4 A$ ~5 x         
( B6 ?3 Q( _9 \  C& Q- g# \to recolor-turtles5 |/ q  d  k  |9 j
  let max-wealth max [wealth] of turtles0 }: ]+ \9 n$ {* B+ |+ c
  ask turtles1 D; N( Q  P8 e
   [ ifelse (wealth <= max-wealth / 3)1 H8 ]+ t/ t6 S& b! y
        [ set color red ]5 G. e, ^' G0 }% d, U; t: @
        [ ifelse (wealth <= (max-wealth * 2 / 3))
- K# Z3 {% _# c" ]: m; C            [ set color yellow ]0 A+ v  n' R7 m6 C% O6 e1 I. L
            [ set color green ] ] ]
: d8 b( K* ?# ?" A" ~2 a4 x. e ask turtles [ifelse show-wealth?
/ r2 }# \! q  n    [ set label wealth ]
8 M. E( d$ X) f8 t8 m0 O    [ set label "" ]]4 B0 }; G* U& b' M" v
end: u7 o0 O9 B* c  V7 W# z+ p4 i
' v' q# e. G/ `6 ^7 ~" H- h) C
to go6 S# H  \5 m% V
  ask turtles
) x) s/ A$ Q8 w# t1 D! d* M    [ turn-towards-grain ]  
' \8 A( _* V  z9 V  harvest
* d) m' o: I/ D  ask turtles
7 C# c2 H! s$ U; V9 s6 l) v    [ move-eat-age-die ]+ L' e. n) F7 z% T
  recolor-turtles
& {$ ?- k# a- H( l  if ticks mod grain-growth-interval = 01 a7 m8 W2 `) V) |9 I/ s3 B
    [ ask patches [ grow-grain ] ]
: @- E8 j6 w7 l6 E5 ^2 {   ' J7 A" z8 w" f) K5 t- K
  if ticks mod 11 = 0$ e9 c3 W) ~; W2 [. b1 `8 b4 \& P4 i
  [ask turtles
0 V5 o2 h% h- u; c: C  [ redistribution ]]
! P% \; n- J: Y$ f- Y; h8 e  if ticks mod 5 = 0
& S; @6 N+ n' P2 l   [ask turtles
2 Z' j+ C7 C2 H  [ visions ]]
: q7 r7 P  |# ~( A" L# O) G  tick
0 f- Z& M3 \" i' X& r2 K& t9 e  update-plots& U$ f" s# H) n: w0 ?6 l, e+ X  M% b
end
. Y# n3 Z" l, Qto visions1 H/ N" q0 _* p6 Y
set vision vision + 1 & K  c) ?) @4 N3 T
end8 r" B4 K' m6 n/ H( c# l

! M! [& E6 n% w5 ^# d3 ~( W% e! o6 `5 q
+ O8 g- l4 s/ B( S. |7 i/ {
to turn-towards-grain  1 o2 [+ I6 {1 h6 T8 |4 W% a
  set heading 0
9 Q; ]1 K$ U: p' r5 m  let best-direction 02 I4 g3 G5 S& e) M
  let best-amount grain-ahead
: g+ E2 J+ W' X. n9 c  set heading 906 A+ M! u" N7 R; ]. f2 F; z* q* ~1 e
  if (grain-ahead > best-amount)4 C) c* ?* ^) o/ d' X
    [ set best-direction 90
' Y, n1 ?8 O# }! S* ]      set best-amount grain-ahead ]
! G0 ?) t2 }5 N  F: H8 C  set heading 180
9 {  P8 W& ]8 U  _. i2 D  if (grain-ahead > best-amount)6 K3 r. s" ?5 L) r9 |# A7 e% \
    [ set best-direction 180
9 m! [' c. e5 U) r+ T7 W" T      set best-amount grain-ahead ]
& e3 g  t. |8 r  set heading 270
2 M( H6 }$ u$ H. c3 v  if (grain-ahead > best-amount)4 R! I. n1 \/ f6 k8 `% c7 }# \
    [ set best-direction 270* p- C9 e! ^- r8 j: P! \; B# H
      set best-amount grain-ahead ]6 A' m; o3 O- y+ I0 F  @
  set heading best-direction" x2 H. A: M- R. Q0 B8 H7 G0 T
end
  J6 R6 l  v& u* S+ n, z& L' S0 d$ l  L2 b* n
5 C- x# e* Q/ i* P0 w
to-report grain-ahead  
$ J3 ~+ n2 O" r2 P) ?  let total 0
" h( f4 n: }# ~( R; Q3 P9 x  let how-far 1
/ `$ ?0 Z" Y' \) ^5 _: Z& [3 B  repeat vision" _' P4 ^+ k/ d7 m8 \4 W4 }$ l
    [ set total total + [grain-here] of patch-ahead how-far
$ H* m6 H7 ?' {# V* W      set how-far how-far + 1 ]
0 l8 o4 L% [4 f' w+ z  report total
7 ]% e" d9 Q4 U; B& hend* {  ^/ m9 \: T# f9 ?
# i- N* x: Q+ |& H
to grow-grain ' f4 C: F% Q: \/ u4 p) B& O, l% T
  if (grain-here < max-grain-here)
2 d' f$ y3 ]0 o7 n6 K7 L    [ set grain-here grain-here + num-grain-grown) g' j" m9 G+ j; Q& t
      if (grain-here > max-grain-here)
3 X+ B2 ~/ c, K! x5 \+ `, @        [ set grain-here max-grain-here ]4 D5 ?3 @# Q# P3 B
      recolor-patch ]' O9 w& x& r" R' U. y
end
$ y( y. A' u3 E' x. V! E) I9 k" m* \to harvest
1 |+ a5 C; W$ @. k) o% g  ask turtles
8 z1 l3 ]+ R. s    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]. P: f3 ?/ M( a8 i7 N$ y
  ask turtles2 y6 X$ y: I% @, ~. G8 d  D8 N
    [ set grain-here 0! Y- U" i/ r4 R8 r6 l* E5 e
      recolor-patch ]$ B2 o1 j+ p& r! b3 R4 V
  : V: U' T, q& m2 k
end4 y! g* u& _" e% [5 L
8 X$ S* ]! c/ `; p! z. x
to move-eat-age-die  
/ H( s. h7 U; i; x8 j, e" x  fd 1, ]2 |$ v! ?4 A$ N, Y
  set wealth (wealth - metabolism)
7 `& m1 G' F3 h" \! C7 \4 U5 v    set age (age + 1)
% R/ a+ H/ e- ~3 i1 I0 R  if (age >= life-expectancy)% m( }" o# Y% ~3 J+ T
    [ set-initial-turtle-vars-age ]
9 J2 K3 H) b4 k: k  if (wealth < 0)
# |5 q$ p! w6 |9 |0 `8 D    [ set-initial-turtle-vars-wealth ]
1 ~$ |% Z% h3 R: w- [* M2 a) U- w4 K    + {5 D7 b7 c3 I6 M
end
7 W6 `! b& s6 G' n; t" r6 m
' k& w  P  W  O. `* ~
, f" R" D+ Q. \6 C/ ^1 S, W+ kto setup-plots
9 z( E5 m7 D. c  set-current-plot "Class Plot"0 u: Z: \* h  t5 g( s  s* ^
  set-plot-y-range 0 num-people# W# \+ H; \8 O
  set-current-plot "Class Histogram"  n1 z6 @' ?3 [' a% \0 C
  set-plot-y-range 0 num-people* p- b' Z) ]* r
end# T' O$ A4 f, Z+ P' A4 @: l
% s8 _% W! }; }) g/ s& a. Q$ Q
to update-plots
8 |5 Q! W# H6 U- l5 T0 s1 P  update-class-plot* s: q* D3 R  H/ T
  update-class-histogram' b; L* j( u" }& F9 g
  update-lorenz-and-gini-plots* H7 f; P- n( U  k( u; M4 Z  ~
end
3 V6 U9 v, Z: P5 G7 j
, F+ l0 M  l7 _9 qto update-class-plot
7 J: e/ ]4 c, S9 ]1 m# B+ U6 L  set-current-plot "Class Plot"
+ Y4 |( `0 L# ?, R- i( e' W) a! D  set-current-plot-pen "low"7 @. y/ ]+ W$ b1 E& w. U
  plot count turtles with [color = red]
. j% E& i( Q4 Z1 ~2 f! a, h  set-current-plot-pen "mid"
2 y% ?! r% c, ?/ w  plot count turtles with [color = yellow]7 m9 A! F7 q  o" ?/ e- v
  set-current-plot-pen "up"
0 e0 u6 r- R+ l$ n* t4 f  plot count turtles with [color = green]* Y2 u* l4 c# O2 Y  A+ ^
end
3 h. N8 |& D9 @1 v( I) j, ]4 O+ a7 D* ?2 Z; l* z
to update-class-histogram
8 j, I& G( \7 `; ]8 [  set-current-plot "Class Histogram"
) U$ ?- y0 X- |' Q) M& T) ]  plot-pen-reset
3 z% R" L- T: M6 A8 i/ i  set-plot-pen-color red/ G9 ]5 L6 }* f0 t; m
  plot count turtles with [color = red]# F* H/ d( G& U
  set-plot-pen-color yellow
# ^8 C" c& A7 C( w, M! O% d* u+ X/ f  plot count turtles with [color = yellow]0 B+ j) {" v1 c# t. F: R/ Y
  set-plot-pen-color green2 x1 t  E" S# M% d
  plot count turtles with [color = green]
1 R( L4 b% v; a/ K3 Jend
8 t3 f- i$ }. S# Q3 F' }to update-lorenz-and-gini-plots
7 k9 A# H1 f" ~4 X  set-current-plot "Lorenz Curve"8 I& F% ?0 _1 E' R* ]
  clear-plot
: N1 o$ I. d, \4 p2 E2 y: j2 }  {' Z
  set-current-plot-pen "equal"8 A1 h8 t: f4 u. S
  plot 0
: T  m9 N( p% v  plot 100
+ l+ ~: v9 ^% Y- a! t/ F6 [
4 n- i$ _3 p0 T! j4 ]/ R2 K+ k# c  set-current-plot-pen "lorenz"4 r9 @/ D  L' V. i: M
  set-plot-pen-interval 100 / num-people
5 i& H* J* u. A( V8 x( x  plot 0
+ M* y3 s: N2 u: r- K
/ I7 Z" p. {% V% ?) i  let sorted-wealths sort [wealth] of turtles
( r7 `  a5 F9 u: c# w" }3 q  let total-wealth sum sorted-wealths
# Y4 W% k* _9 \( d. i1 t! g  let wealth-sum-so-far 0
  u, h7 Z: @; T6 v. p  let index 0
: V# g  K4 u4 a  let gini-index-reserve 03 ^, T+ J* N" T; d% X
0 K+ a- {  z  ~
  repeat num-people [
" t) d, S7 s) x- N' b0 ^* A5 K4 _* s    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)" v! ~, w/ a( W& b, U
    plot (wealth-sum-so-far / total-wealth) * 100
: C/ K5 k5 Q- j+ ]) d5 x& I% ?    set index (index + 1)' I" W$ `3 G8 T" f6 W* b
    set gini-index-reserve; M* F9 a* L, q
      gini-index-reserve +( P7 o& [7 ^* H; j9 g
      (index / num-people) -
$ {: h7 z' |8 V4 r, G7 F1 P2 _. i      (wealth-sum-so-far / total-wealth)
% g" L  L) U9 r) s; G0 Q, e, q  ]
: o9 y; ~: b- T# Y" l8 j. U
4 o& e: N8 l8 D0 \" k$ n4 `) C  set-current-plot "Gini-Index v. Time"
$ H  \# [8 l, U, t% e; F  v1 r  plot (gini-index-reserve / num-people) / area-of-equality-triangle
( o1 P) Q( V( N2 @2 H/ N9 B7 ^; Zend1 j" ]9 t% Q+ S+ p9 U) z
to-report area-of-equality-triangle
' d0 L9 M9 z  G9 x3 [$ C  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
9 r1 N) M* W3 M$ a' fend
 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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