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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. s0 j( H0 d) G3 Oglobals
% }9 e' B  Y9 ]2 w[3 O( R, t; q  n* Z: I  U) ?
  max-grain   
% F( K' ?! G! N. x4 |3 w3 p  ~" m7 B7 M6 A* a6 g
]
, I4 F: H+ q+ ~4 Q7 e  I! a/ R4 L" z1 M* H- h0 |
patches-own
0 c6 @: X) l; v[9 w6 a, M4 C! K0 R. r
  grain-here      6 I/ \2 C- C/ n" Z6 a' p
  max-grain-here  
/ c9 A7 f/ N% W$ M2 E]0 y. E- T! u! ^- r" J
$ Q: S' {% l" _. |
turtles-own; C' K" B3 u9 w& ]& d4 A* X
[
3 i, N2 ?/ h" O  age              ; ~; a) U* M) f; H0 q- p" q
  wealth         
0 h) J" m0 M# z7 L. e/ i' n  life-expectancy  
+ @: `/ |) `- o* E; H& k+ o  metabolism       $ d0 D! `6 U9 |' u" H' B
  vision& \$ B7 K6 \& o5 L0 O
  inherited         
& t3 s2 ~2 F- P/ ^8 V]) m& \7 h+ Q( d
; F4 J4 ~2 V  J. s% S

& C. M$ O! K% r& [7 dto setup4 {( z1 \5 f- U; v5 Z0 l/ q0 y
  ca3 o5 m3 ^, y  P4 ?9 O) l$ ^
  set max-grain 509 i' z) G4 X4 P. q$ \" g1 S. ^
  setup-patches
  Y8 T" k  l! h/ c& j7 Y% R  setup-turtles
) g9 @9 `, V3 r) B2 P3 L  setup-plots% Z- L5 Y" q7 d% G2 _* _
  update-plots
# s+ V1 B; R2 e  M1 J* Z* M& Jend
- d4 i; w; F# _- I, O! \9 pto setup-patches
  t3 g+ G- v; S. @7 d' ~+ c; j  ask patches2 E1 X) _; L1 y- `
    [ set max-grain-here 0
5 J  {+ `, F* m# `& f0 a  h      if (random-float 100.0) <= percent-best-land8 K2 @0 v" T" U( u
        [ set max-grain-here max-grain) F' U. `. U3 c0 F7 h2 ~
          set grain-here max-grain-here ] ]
: ]7 G: V9 {, j, p2 F  repeat 5
' Y6 e0 R! w( q& I( P4 z( U( E& w    [ ask patches with [max-grain-here != 0]
2 Q# B# [( m1 W8 J        [ set grain-here max-grain-here ]
: U4 q/ e% i: K      diffuse grain-here 0.5 ]" j9 ?+ m! ^* ^/ G* i: h
  repeat 10
# Z7 H- W. b, g# |, H    [ diffuse grain-here 0.5]          * q& K4 k$ k' L
  ask patches
1 _- L; ~: h( _; {% ]    [ set grain-here floor grain-here   
# n4 Z# ~4 e7 F, O6 R1 t2 P      set max-grain-here grain-here      0 Y1 Z$ ~9 I) K- C9 `. j. x
      recolor-patch ]; G0 C- A) {: h, s
end* @; D0 z5 F* d, o: Y& l' U
to recolor-patch  & s. O: m# w# U: F) C
  set pcolor scale-color sky grain-here 0 max-grain- ?+ m7 H3 E  q" A. E
end& Z+ j9 P* O5 F2 r: S- X4 J; y
to setup-turtles
, h' b1 W. z- M" c8 k- ]% `/ ?  set-default-shape turtles "person"
# A$ b& N* A" f) k: P) u  Q8 o' a  crt num-people2 M# B6 z9 O8 J* B  O" }- t
    [ move-to one-of patches  5 l9 O+ ~; X0 g) J7 H& p0 z
      set size 1.5  ( v+ ]- {; f0 `9 q' J
      set-initial-turtle-vars-age
/ |" n9 ]( k$ a6 U( a4 {      set-initial-turtle-vars-wealth
) S. K, h3 q, c4 p+ h1 s; k+ Q$ v      set age random life-expectancy ]
9 [" J# O% T/ Q1 v  recolor-turtles- O2 q5 z# T  _- t4 s1 ~
end
0 g6 R/ c/ M6 T+ t" M
0 n  {1 K5 [# J% pto set-initial-turtle-vars-age
" v/ |8 x, ?5 p! G+ Q* x& B let max-wealth max [wealth] of turtles- q0 R* L9 K. K# K- r" d
   
  L& E2 O. j9 {6 V' z7 h) y) v" K     ifelse (wealth <= max-wealth / 3)1 D+ h! S: C0 L0 ?5 z
        [ set color red
0 f( s! m, m3 q; V6 o% N2 }% m$ l. y$ {          set age 0
; h, `) y; Y  @1 C" w          face one-of neighbors4 $ j5 b/ Y7 X' L! Y
          set life-expectancy life-expectancy-min +4 G: N0 a! n; S9 O9 C% P/ V
                        random life-expectancy-max   ]& }& q2 J- I) G8 M. c; x
          set metabolism random 1 + metabolism-low
- Q6 T  V9 @0 A. H! W          set wealth metabolism + random 30
+ u1 |8 M" x) _, B2 I# n          set vision 1 + random max-vision
0 A( N& a/ I3 N             set wealth  wealth +  Wealth-inherited-low ]1 g+ I3 d/ g, j# A
        [ ifelse (wealth <= (max-wealth * 2 / 3))
) U$ E- {4 P+ f) H" w8 a5 V$ l/ T; {% e            [ set color yellow   g% p4 g& S  M, ~
              set age 0
; M* l$ s  y; n2 Z) {6 ~$ t, S1 y              face one-of neighbors4
4 ]5 k) p+ v+ X! h8 \              set life-expectancy life-expectancy-min +
9 {3 U) C# \. w                        random life-expectancy-max + 1
* h  _( \6 B* g              set metabolism  1 + random metabolism-mid3 m8 c* y, U- [8 A" ~" t, W" O
              set wealth metabolism + random 30
' G, e  W) W4 e  c              set vision 3 + random max-vision/ G' g: O! D  V5 h
                set wealth  wealth + Wealth-inherited-mid]
! C. ]" L3 P% u* G) v& }5 j  X0 A            [ set color green
* Q( e9 v' z4 n- o8 [( @- T              set age 0
+ r" l8 W5 z: R0 a3 ^8 A  q) c+ K. V              face one-of neighbors4 + N4 R, E2 y9 F
              set life-expectancy life-expectancy-min +  g6 c  r' e, O5 E. k
                        random life-expectancy-max  + 2
6 Y) V; u5 x# J9 @7 y% y4 \              set metabolism 2 + random metabolism-up
& ?* ]/ B7 j: G! }              set wealth metabolism + random 309 ]* F( N7 b% |% e, n" u" h7 }
              set vision 3 + random max-vision
7 i, M0 G0 {8 z7 v8 @+ W              set wealth  wealth + Wealth-inherited-up ] ]
- V! T) M5 T0 W& J* E 7 x7 A7 ~% C* E0 j
end7 D: D* N+ I6 z# H/ q) E! x2 P
to set-initial-turtle-vars-wealth8 W! a2 m% q% J( `/ x6 T0 Q
let max-wealth max [wealth] of turtles
& Z$ L: k8 i, ?" }3 h; ~          set age 0
  w2 n$ ]2 H. g1 C# t  f6 S0 m          face one-of neighbors4
- g% S  o6 K' T$ Z6 O: E' }6 [( ]          set life-expectancy life-expectancy-min +
$ N/ L$ v0 Q9 U7 _0 g5 ~                        random life-expectancy-max 3 J' {8 l4 }. O$ j9 M8 F) D+ V- ?# p
          set metabolism 1 + random metabolism-up8 [4 X5 r( s- K$ i% p# D) a7 i% o
          set wealth metabolism + random 30! B& [3 R7 m: ?; C+ R
          set vision 1 + random max-vision
* @- D# U7 q- D0 r+ qend
  @: [) V; ^- B9 Mto redistribution$ o# \8 M' j" d! G( f, Q8 |
let max-wealth max [wealth] of turtles
# O2 P" R8 S, |6 x( x( O/ ?7 Q3 {let min-wealth min [wealth] of turtles, ~& V. r% k( I
if (wealth <= max-wealth / 3)
; W/ i$ i8 U' }! L- E  e: [; _ [set wealth  wealth + Low-income-protection ]8 r' b$ h8 y: g* V
end- O+ s& w: O# U8 \! b5 z
         
7 p+ [0 |# \3 a+ z$ qto recolor-turtles1 x; [: T3 C* ]$ [
  let max-wealth max [wealth] of turtles
' i; X1 R  U# i* W  ask turtles1 v7 u0 G( @: R! P3 E; C
   [ ifelse (wealth <= max-wealth / 3)
- O# \5 r; U! |0 h. j: I" C: n. U        [ set color red ]' C* R2 V6 Y; c  ]  v8 v+ u
        [ ifelse (wealth <= (max-wealth * 2 / 3))! c% N9 U4 J" W" y# E
            [ set color yellow ]
, ]# }! a# U. W# D            [ set color green ] ] ]: K) {  D# N0 J: S7 j
ask turtles [ifelse show-wealth?
, T/ ~! T1 T6 `' H; d3 o3 e3 C, e    [ set label wealth ]
" Q% g8 c6 g% @* l2 e1 R    [ set label "" ]]
5 I7 s4 y, c8 k5 w! oend$ B% u$ G3 p+ M9 S

: X+ t+ \1 I. L% k  Y9 s1 K7 Yto go& v9 L3 w5 X8 W
  ask turtles
( k9 f8 J: f! T. z6 ~9 A1 ~- o9 j9 U% F    [ turn-towards-grain ]  # U8 ~4 z+ ?) _& n
  harvest5 v6 U$ @, r" k2 y# b
  ask turtles
0 e5 h* h  c. M. i7 \8 L    [ move-eat-age-die ]
/ g2 d# F* E( s0 ^: j6 G" q  recolor-turtles3 ]7 ^4 [( c# J0 r* G
  if ticks mod grain-growth-interval = 0% T% a; X4 Y/ a' q" s# Q! ]8 Q
    [ ask patches [ grow-grain ] ]
2 }0 v( ~; E; B5 Y   
4 r" B, d+ X  ?. n- e  if ticks mod 11 = 0) G+ ?9 H+ i# S0 o3 m# K& s
  [ask turtles
( y! C; G3 s, @( G/ u3 l/ P  [ redistribution ]]4 b+ I+ b) S" ~7 t: w
  if ticks mod 5 = 04 g9 a, U2 n$ x6 k
   [ask turtles' |) Q9 m* d" F7 l% L$ c' |* q1 z
  [ visions ]]" e+ b% D! T$ K1 _# r# [  B& Y
  tick
7 X7 ~4 D" n% f, n! V  update-plots0 I7 z. Y0 w6 W) B4 a
end2 q2 N+ U' |1 X0 \1 t; ]
to visions
/ M! _& R$ x' v4 @ set vision vision + 1
, P% e: d6 I; M% W. g/ l# Hend
0 w1 |2 [1 Y/ o1 g% W  k2 E( F) a4 V6 q5 W
2 \8 @* |6 m9 t/ N2 q

/ o+ N- z% I  n0 o7 dto turn-towards-grain  
3 _( n2 U3 N( P, ]) r; s% R  set heading 0
) D! h# w" s1 q! f  U7 Q  let best-direction 0! d8 ^. P1 b& Q8 [
  let best-amount grain-ahead1 s- e- {- v5 o3 l5 A& d7 @1 c
  set heading 902 y' T; v) H. }
  if (grain-ahead > best-amount)
( a2 j2 y1 T% `5 O    [ set best-direction 90
( ^! y! d6 k/ M( U      set best-amount grain-ahead ]
) z# f: r8 w9 j9 N5 e! K- n  set heading 180) O) E5 }2 O& a' P/ g" \2 o
  if (grain-ahead > best-amount)# n( p: g1 C2 d9 |7 u5 ^
    [ set best-direction 180
# P, V5 t/ N$ Z$ ^0 \      set best-amount grain-ahead ]% b0 U  G' U3 c/ \
  set heading 270
* [! y6 W2 m3 a( Q( N  if (grain-ahead > best-amount)0 ?2 P$ _- l( D' d1 f2 x8 g
    [ set best-direction 270
4 W# G( Q: t! S1 `( g0 d. s      set best-amount grain-ahead ]5 K3 n2 j5 G. X7 g7 M9 ^/ I% K
  set heading best-direction
/ u) s) u6 R2 h! O5 Wend& e4 J5 Z0 m3 _7 Q. {0 ]
4 `( U- y% `, w$ D
$ ?& J; p1 a8 [- R; w! u
to-report grain-ahead  
' q- K" r& g/ E- |, |& _: f4 A  let total 0
7 {4 |. e& O; ^  _6 W5 E  let how-far 1
+ D* _6 O5 z( L  u; {7 h) y* b  repeat vision
! s: f# ^5 R( O* ]    [ set total total + [grain-here] of patch-ahead how-far6 @) c4 Q! u' e* V; h0 I% b; o
      set how-far how-far + 1 ]3 C: {! d: g% l1 s
  report total, I( I+ h& J" E
end
$ e& ]/ {4 l4 M9 D" M, m; G$ g' N4 }2 U3 E" u$ U/ Y: \5 ?
to grow-grain
+ \) ^! V' Q- w* O  if (grain-here < max-grain-here)
/ `- h; [3 K% I  ~, n    [ set grain-here grain-here + num-grain-grown) F7 ~) {6 p2 T
      if (grain-here > max-grain-here) 9 O3 z% p, Y; p, X
        [ set grain-here max-grain-here ]& {9 c& j3 g  T7 N& j" T& f9 I9 r
      recolor-patch ], w, f. M0 P$ n
end2 o- N  Q( d9 _' P$ E# a/ H
to harvest
+ u1 C# ]7 f% E) w1 ]  ask turtles
$ `# d+ g& N: ?, @    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
6 e' a, X7 u4 i  E. T4 o$ F  ask turtles5 [3 D" I4 i4 M# C4 c8 B9 o) n7 L* L
    [ set grain-here 0
3 L; u# k3 o4 P& T3 n  f- A      recolor-patch ]& L+ j4 U  R1 L8 p7 ^  z3 w
  
# J8 ~" F$ G# N- D* O/ Wend$ r2 o/ N8 _( C: R6 Q8 c6 K8 B

) Y: ?% w( Y# a# Q6 H0 ^* \to move-eat-age-die  
$ r/ m# Q: j* n  fd 12 M9 B/ J, d4 n6 k/ C) B6 V1 `$ y
  set wealth (wealth - metabolism)# h* H2 z  J) E, ^4 j9 R
    set age (age + 1)
1 ~( M5 q- N9 l  if (age >= life-expectancy)* G2 h/ l3 M1 O. N3 Z9 N" X
    [ set-initial-turtle-vars-age ]% Y5 n7 F6 ?+ e; E$ W. A, M
  if (wealth < 0)
  p! ?0 |2 @' R) Z( H    [ set-initial-turtle-vars-wealth ]
. E, E6 S) A7 U+ m/ ~$ J- z, _    " x9 _5 L6 K2 ?; `4 h+ c6 D& ?
end& r- K$ y5 c% C9 ~
+ T, N. s6 h, B% d8 p- o

4 y# O7 k2 b5 Qto setup-plots
& n& y/ {$ X8 ]' d  set-current-plot "Class Plot"
  J7 D9 |( j& E6 X- D# ~$ M  set-plot-y-range 0 num-people
$ J$ G% z4 Z3 ]% U) ]  set-current-plot "Class Histogram". d  a. y7 X. a, ~3 A3 J+ s4 m
  set-plot-y-range 0 num-people
( A# t% ~. n. E7 c# m$ e3 ]# dend( ~) u, ?5 g$ h) O2 Q" k$ u  l

2 f) ]4 f5 c- |8 H3 [; Jto update-plots
! I! r" P! p( t; n  B4 }/ Y  update-class-plot; V; q, M; W! J
  update-class-histogram) R7 w. t( g" J5 Z+ l- J
  update-lorenz-and-gini-plots) X/ z! t: ?& T; l1 o% Q; R& j
end
9 j4 Q* Q+ f& L# @! O; ?! C4 Z2 R) Y
to update-class-plot
( d! U8 m. ~" s  p0 B  set-current-plot "Class Plot"
. }5 D2 C# i9 E8 x$ c9 `/ j  set-current-plot-pen "low"- J5 i: z  p, K* L
  plot count turtles with [color = red]9 G. r. f4 A! T1 m% Z! c0 g) y' T+ y
  set-current-plot-pen "mid"
. R$ Y$ v5 `3 _( V  plot count turtles with [color = yellow]
2 C% }4 J; G. R0 V7 Q  set-current-plot-pen "up": V  ~9 h/ L) h2 l% |9 z
  plot count turtles with [color = green]
& r8 u1 j3 G9 f0 [/ V2 Bend2 M+ O! V: e8 h/ B: Q  a8 G3 y
, o8 |, i% g  m0 }' E* U
to update-class-histogram% O5 |5 S% {: }" v
  set-current-plot "Class Histogram"
5 z  e7 B& G/ w0 G* ?( b  plot-pen-reset5 V1 Y4 z: i& F, Y9 {
  set-plot-pen-color red
$ b7 t9 Z. h9 m( k( t3 i5 H& W  plot count turtles with [color = red]
5 N. r0 |, I! v$ A  set-plot-pen-color yellow
  T" q" R& p, U1 @  plot count turtles with [color = yellow]
, _+ ~9 J, `1 k  set-plot-pen-color green
6 V9 @0 c2 G9 t6 R9 n) z  plot count turtles with [color = green]% E& Z: b( _, u( U
end& d& @9 j! G  }! _1 @3 b1 R9 ~
to update-lorenz-and-gini-plots
4 d( |" J/ I' D- `/ E  set-current-plot "Lorenz Curve"+ B; P; D# P) V6 s
  clear-plot
  E9 ^) E. L9 \3 J$ g9 h7 o  k: G8 D+ A' c) p3 |$ p% {
  set-current-plot-pen "equal"
, L& K, {0 I" C5 |' E  plot 0
+ n4 @' i# a+ H: x8 K  plot 100+ V$ p6 \3 M+ u6 ^+ }
4 N4 B+ {. H2 [) i9 B
  set-current-plot-pen "lorenz"
- p5 e0 ^: o4 H8 P! @) G, ~, A  set-plot-pen-interval 100 / num-people( s+ \. b, B$ |
  plot 0% C& h3 R4 n- f# }2 b" @5 I

/ |& U% B9 m6 s  let sorted-wealths sort [wealth] of turtles6 p# D8 C4 {4 Y/ \. Q, N
  let total-wealth sum sorted-wealths
" s) ~' g* N$ F/ T- _7 d9 m  let wealth-sum-so-far 0
' d! y, R9 q1 Y6 @  let index 0- x8 P" c) S2 C9 V4 j0 K
  let gini-index-reserve 0" L" R$ F7 Q) H0 z" X& O

4 z4 N4 ~1 S# ]# {: i  repeat num-people [
! ^. ^& y6 N0 {/ R2 v    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)# x4 o# M3 i, v
    plot (wealth-sum-so-far / total-wealth) * 100
+ I6 p% c/ P" F1 R) Y' [    set index (index + 1)5 Q  K- ], ]8 C) Q3 X
    set gini-index-reserve
" k0 D, q  @. t& O      gini-index-reserve +% \3 f- U# X. y5 b$ U& Y
      (index / num-people) -% N$ e! Z" d1 S. s2 z- H2 v. s
      (wealth-sum-so-far / total-wealth); C+ [" M3 |  ]' T0 A- Z2 [) N
  ]
+ Q$ f! p4 i( D/ ]+ }. [: I& e5 F) r" f) B6 ?$ d, A
  set-current-plot "Gini-Index v. Time"
; E+ E1 c6 \; T7 Y0 W  plot (gini-index-reserve / num-people) / area-of-equality-triangle, ~% O; v3 k$ ?+ L% Z3 N
end
  c3 T+ s  n) b/ e' L8 i/ X* bto-report area-of-equality-triangle2 G1 @! R: V5 x$ s5 Q  t
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
% d# S) r1 h" A( z# R9 @. nend
 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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