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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
1 q. C# s6 }# {' tglobals0 b+ g! D9 F( R* M; w4 y2 n
[
! X: v! K+ A  |# H# ~' X- ?  max-grain   
( a) s1 S2 m! q8 h
! R9 V- E0 s# h$ h7 K]
+ R9 Z$ E  t% T! O, Z5 c4 ^8 {7 i! o, S
patches-own/ l% }- G; S' k
[$ H  r. K8 L6 V4 U( u: K( A
  grain-here      , A, s% B! L$ M3 O  ?5 Y) U! i1 c7 Z
  max-grain-here  8 \% b0 l) X0 Z; y) X7 f
], U, L% Z# n& I; J/ I2 \
: N; |% |, _8 c  G8 @
turtles-own
8 f/ m  t4 y! P+ i3 w0 E1 }[
  [* y1 L; ?+ G  age              + A6 y( I! H3 _
  wealth         
- t. `0 H$ |4 N6 k5 y  life-expectancy  
; r) J3 X0 D! G" ]! K) y  metabolism      
. G+ G* l9 P, s8 \6 [% ]5 T. n* r! T  vision
" F9 t$ q: y( Z9 N* a0 p* s; j  inherited         
+ V- h  x- R  F% d]
1 f, d& R7 ^7 \/ f
. l3 K' W2 u5 a; c! Y- W# d) p* W- _7 |; c9 m
to setup& V1 F: [' N# p) K4 f
  ca
1 i" Q& |8 E3 a' E) F1 X/ ]: g  set max-grain 50
+ p( x. ~; S& |$ Z: L  setup-patches
5 A( z& A( o2 {# X* W" J  setup-turtles
8 {  _" K# t2 Z! ^+ y$ E  setup-plots
$ g1 K: i1 N  ]+ f& }9 o5 y7 h  update-plots
" |' T3 A' C" bend
. `5 N! F. g$ K# rto setup-patches
0 O# {" N, Q8 k8 h2 g- Z  ask patches6 u! v6 c: f) f" {+ ?
    [ set max-grain-here 0
1 y. }9 m: w& u! Y0 j! u      if (random-float 100.0) <= percent-best-land2 P% Z$ W% d: P/ @8 P( _! B5 X
        [ set max-grain-here max-grain" e4 D$ ^" W. b! T
          set grain-here max-grain-here ] ]
2 z: c! w) }, h$ D. {  repeat 5
8 u, c' q3 a3 q0 Y$ ~1 t    [ ask patches with [max-grain-here != 0]$ F  X4 h3 M4 L& c6 l  n0 e
        [ set grain-here max-grain-here ]
9 v4 q/ M* B% W* G* E8 D4 v      diffuse grain-here 0.5 ]
( g5 J& s& {0 ^7 D5 x% r) G+ d  repeat 10. v% c& Q% b2 {+ o$ _8 a
    [ diffuse grain-here 0.5]          3 x  |' q% ~; H0 v) g/ n
  ask patches" w! L$ @& P' H+ a5 z
    [ set grain-here floor grain-here   
) I1 C. ~" ?5 c% ^/ l' v- e) ?      set max-grain-here grain-here      1 n5 t% i4 f7 o& a" r1 ^* k8 x
      recolor-patch ]
; q* c# w& R7 d( ]5 P% cend8 \6 Y4 h5 v- |! B
to recolor-patch  & Z) s4 n! S+ X- q' M* t
  set pcolor scale-color sky grain-here 0 max-grain
+ Z; n( k: \" _1 u: E' F+ i' ^end
& L! v8 K9 ]3 H. m+ kto setup-turtles
* R7 B4 u7 K1 M6 H8 e  P4 f; G5 V  set-default-shape turtles "person"
& `& q6 q, t7 @( F  crt num-people
. f# _0 q  `3 x& a: e( x6 r    [ move-to one-of patches  6 J2 ?+ o2 L- e# k
      set size 1.5  
7 @2 B/ {' x7 t: V4 _4 \9 z8 n      set-initial-turtle-vars-age& G" [8 k6 J3 p4 A& a7 n- W
      set-initial-turtle-vars-wealth
5 U1 I0 F7 o/ N7 x/ v      set age random life-expectancy ]
' N4 m& o* V! {& k( g% h- n) }  recolor-turtles
8 q. d- m+ n2 xend
- m3 s7 i' ?6 A! R' d+ D2 q
/ j# i% Z; O1 p, g- V$ `+ R1 ^to set-initial-turtle-vars-age
% |/ I% Z4 X) f2 I# Z& |. K let max-wealth max [wealth] of turtles
6 |( ^" T. d# `) ~3 J/ b- }; Q    & q! i* E6 I0 p4 \6 M) {) X
     ifelse (wealth <= max-wealth / 3)" r* T+ M, b/ E$ {* o, D. G
        [ set color red 4 z" c! G3 t$ W7 G/ C
          set age 0* g, {( P8 O' j& y3 @4 q0 `+ @9 Z
          face one-of neighbors4 ( ?& m" N& u% P7 j
          set life-expectancy life-expectancy-min +
: i" G4 P, c9 ?$ m                        random life-expectancy-max
: p/ f7 Y7 W0 S& c, k          set metabolism random 1 + metabolism-low6 Q, M0 W+ w' Z2 f; P1 |
          set wealth metabolism + random 30
9 F0 c6 q% {* n, n0 V          set vision 1 + random max-vision: ?  ^# p/ y9 ?) n
             set wealth  wealth +  Wealth-inherited-low ]
- Z" E: a( z$ h        [ ifelse (wealth <= (max-wealth * 2 / 3))
, T: X2 x5 C+ J- F5 q            [ set color yellow 6 S" p$ G7 U. x$ }* i
              set age 0; E3 Z8 L3 V) k% u5 E' }" u% S
              face one-of neighbors4
$ X, d- C+ P$ y' P1 g              set life-expectancy life-expectancy-min +
8 _9 x2 L5 l" J' ~! U9 j' D4 @; j7 m! K                        random life-expectancy-max + 1
8 Z7 ^: H3 K' K/ q% ^              set metabolism  1 + random metabolism-mid
/ y7 P) g6 ^& p/ S              set wealth metabolism + random 305 G1 f0 C2 d! a( {
              set vision 3 + random max-vision
8 x5 w; ~$ ?8 }& ^0 C                set wealth  wealth + Wealth-inherited-mid]
$ J- P/ ^. D& O2 t+ \: I3 n            [ set color green
- I  g+ x  P! y. F! I0 }              set age 0
% L7 S% X# m5 V1 n- g              face one-of neighbors4 # j, Z1 ^2 }/ c7 B* U+ P$ s* f
              set life-expectancy life-expectancy-min +6 D; K2 n8 v. k. ]; R: x# o( a& h' x: z
                        random life-expectancy-max  + 2
+ D6 @2 K: C& ?, O' U8 c              set metabolism 2 + random metabolism-up
; s4 `9 h" S1 Z3 _0 D6 S% k              set wealth metabolism + random 30
+ J0 W$ r8 T/ b6 N              set vision 3 + random max-vision, a1 R3 F$ K* L1 O9 J# r* o! i" Z
              set wealth  wealth + Wealth-inherited-up ] ]
- v4 Y- R, B1 `- u) s , |$ i# P4 O6 c% J4 u+ @
end! O8 V. \, u- W/ j7 E( V, x
to set-initial-turtle-vars-wealth7 s# N* t. I2 Q$ ]
let max-wealth max [wealth] of turtles
( Z- ]$ E8 A* Z. w0 l1 s3 V          set age 07 R' t8 ]4 z1 z8 h* m
          face one-of neighbors4 ( b, |5 x% g5 ?( |. F' ^3 V
          set life-expectancy life-expectancy-min +, y7 b4 _4 ^" S
                        random life-expectancy-max ! y1 b' I9 C0 m' B1 }& K7 ?
          set metabolism 1 + random metabolism-up9 x, z& V5 a2 J% s5 f: M
          set wealth metabolism + random 30! K* c7 n; N, m  t
          set vision 1 + random max-vision
, G9 }5 J5 R/ I! vend
/ u/ W" n7 ?. Rto redistribution3 W8 _2 L8 C1 A5 Q) r/ R
let max-wealth max [wealth] of turtles
7 |, Z% ~/ N  l1 m) ?let min-wealth min [wealth] of turtles
! F, Z- n0 _: T3 j9 Rif (wealth <= max-wealth / 3)
9 G; [0 [. e7 h4 i& }5 | [set wealth  wealth + Low-income-protection ]
5 r' m$ T5 r! tend4 G( B4 Y* }% S* H! p
          7 w2 d& Z& Z! [0 ~- w* H, b  h7 |
to recolor-turtles3 X, w- X( N) v& `& m2 v
  let max-wealth max [wealth] of turtles
+ R# w4 f' j$ Y8 m4 ?7 I  ask turtles+ P3 y& I; Q- L& T
   [ ifelse (wealth <= max-wealth / 3)# q3 g: ?# C9 i' M* E
        [ set color red ]
0 W/ v( P/ G" P        [ ifelse (wealth <= (max-wealth * 2 / 3))* R8 u. |, w' k0 r" T' e4 `
            [ set color yellow ]- A; p; R& H) }
            [ set color green ] ] ]+ h0 V/ k3 I2 O: f; S! n
ask turtles [ifelse show-wealth?
' I' T8 O5 z3 F" c    [ set label wealth ]' R  h8 J/ `$ ^# d% n" G
    [ set label "" ]]
1 c4 `7 P3 n$ |+ ?$ g5 dend9 u; W) ~9 W) _0 @( I# ^

9 I6 m6 e5 `' D  H$ Qto go
" g: ?0 {) ~; p. P  ask turtles/ m! p8 H; T! A7 A. [3 m9 d
    [ turn-towards-grain ]  
& q0 C! w/ Y9 d  harvest
" l& z4 `  y5 w* w5 z  ask turtles  J- m' T! q2 I! F. v* ~) F
    [ move-eat-age-die ]
( b+ U2 V5 D( }9 w8 K1 y' R  recolor-turtles
* T; J; ]( z7 X  E2 O: [( q4 G  if ticks mod grain-growth-interval = 0! t( H) m8 W  ~
    [ ask patches [ grow-grain ] ]
4 `+ E# Z, o# Z, u   3 @0 A  x1 {+ H' m5 c$ F
  if ticks mod 11 = 0
8 M2 f& P' ]/ ]3 [; k  [ask turtles& H4 h2 o; k  J
  [ redistribution ]]
5 Z$ F* R+ k" I. T% S# b/ D  if ticks mod 5 = 06 i# y: ?+ i0 Q
   [ask turtles9 V. o; D, W, H8 G* }5 D
  [ visions ]]
5 G" j1 j* @! S6 \7 a8 l1 B1 B  tick1 U$ ~- W/ U2 B* c$ o% ]- a
  update-plots$ G% l8 i4 ]" m3 G5 C$ i+ T
end& I  X, ?& J" A! k/ t; z
to visions# O3 u& x$ l! F( `+ i8 s
set vision vision + 1
" B# I8 ^3 V6 V2 _5 ^end
! i6 x8 i  |/ z1 w/ ?2 C7 {/ c9 Z+ _' n3 n. P7 S* i/ m$ O

; ~0 E% s5 n! h# H% j( b: ~
( W5 d3 `, F5 Y/ Sto turn-towards-grain  
. |$ w% ^6 y9 [% k  set heading 05 Q6 X% h" b+ W* l) }5 o
  let best-direction 0
# |. T# g# t0 `: P! U0 o+ q" f  let best-amount grain-ahead
( W1 A% ?. v7 o. {" a0 H  set heading 90& {9 e! o1 d- W1 @: c/ l1 W, p
  if (grain-ahead > best-amount)
' n' v- b$ S6 V' O) O+ M" A4 p    [ set best-direction 908 p0 X  L8 `6 V: a! u$ k/ n
      set best-amount grain-ahead ]1 [6 R9 E* F1 q  F
  set heading 180& R  y( j% z+ ~- u* t& S
  if (grain-ahead > best-amount)
6 Z6 {0 S2 b0 O    [ set best-direction 180
7 \, u/ t! F# ]( ~- i      set best-amount grain-ahead ]
+ F# F$ i1 E, ~2 j' G  w3 h2 J1 j  set heading 270  d( {0 ?1 F( ^. J- W' |9 y- N
  if (grain-ahead > best-amount)+ _" Z/ P+ R4 \
    [ set best-direction 2705 b  z% F% A5 e2 {
      set best-amount grain-ahead ]& |" _5 i2 q3 w* v) _
  set heading best-direction; C* \. R6 q# Y# {# }: N
end5 a# \) q: U2 V; ?6 c& P! o$ l' K- y

" P2 m, C: B/ N+ v6 s; J3 A% D$ m- p: @; \
to-report grain-ahead    R1 j( D- h9 n+ x7 ^! y
  let total 0) p/ ^' H+ ]6 ]8 [  T- e) }: C
  let how-far 15 e! Z3 \) N1 r" a! V
  repeat vision
# d/ X  G" u; w# Q1 o" U8 ?% _7 b    [ set total total + [grain-here] of patch-ahead how-far
4 s& t" N2 L7 |5 T# q8 J$ {      set how-far how-far + 1 ]
, }2 F6 I7 o3 g; ]  y  report total' A( e8 O* t, q. p# O3 \; {: ~) d
end6 n0 r7 c0 Y6 [0 A3 S

# d% _2 Z! a- w$ Yto grow-grain 7 ?- O1 B3 ^( R" m9 z8 i0 p
  if (grain-here < max-grain-here)& z8 T: m8 _: T3 s
    [ set grain-here grain-here + num-grain-grown
( i5 c5 U$ B4 y! K3 j      if (grain-here > max-grain-here) 9 V( H1 U3 j% c" u3 q
        [ set grain-here max-grain-here ]" ]& R7 S, C! P5 f) m
      recolor-patch ]' X. p/ ~4 i7 k! Z6 m$ Q/ e# a8 Z3 F
end& j; X! R1 Y0 x2 u
to harvest: l3 z0 B0 ^* P: F  J; M
  ask turtles
5 o  J# V: q# x3 J4 q    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]* ~0 y& C. V9 W+ B, A- M: N
  ask turtles
3 p# M$ V) c% ?( \    [ set grain-here 0
+ `# k/ T. X% k" D8 j& M      recolor-patch ]( L  T* {: Q/ y3 K4 I+ b
  7 A; a, Y& F6 _; X; C- x9 Y
end
! p, S: \: Z/ V5 P) Z6 W( K7 ^: Q' e, N0 [/ w, z! z
to move-eat-age-die  
: n$ p( Z) ?+ o9 H  fd 19 }$ b  f5 p- e
  set wealth (wealth - metabolism)1 W' b0 H7 E4 S( C6 U
    set age (age + 1)
. h! |9 x2 L- h  w4 G4 J( e  if (age >= life-expectancy): v5 e( a4 h5 J! \9 A' W$ R3 b6 _8 B
    [ set-initial-turtle-vars-age ]
" P( P% _' K7 o) ^7 a2 S# ^, H  if (wealth < 0)
+ N7 Q8 Y4 @2 B5 S! Z- D    [ set-initial-turtle-vars-wealth ]
" _# \& S: ~+ v9 c- R, i    3 U! t4 |0 F# ]+ N
end! \( y/ o6 \- W( y1 N

+ I. |# E0 E! f7 O7 k% u
0 V. h* D4 u8 R0 y: s1 g: a' ?) nto setup-plots' h8 w2 K! W3 J
  set-current-plot "Class Plot"
! B0 J8 e" I9 D  set-plot-y-range 0 num-people3 U" a/ k' G: z2 K+ r! [. a* ]5 ?
  set-current-plot "Class Histogram"* i: ?* @+ J4 a# V9 r5 A# l
  set-plot-y-range 0 num-people6 L0 s% n( i7 Q2 z
end
0 `( \( e& W) i' L" R( C% ?9 E/ j& ^- E. X+ m
to update-plots! U) _( M% n7 _7 v# j- W
  update-class-plot5 Q; a) X3 ~! R, w3 h+ S/ Q* r
  update-class-histogram# j8 o# l( ~! y9 E# H. z
  update-lorenz-and-gini-plots0 t+ A- e6 [) V) `
end
' Q7 E" |. J4 l3 o2 d$ b( Z! O) F7 ~/ Z- `, `
to update-class-plot
) Y6 M) O! q* a* X- }5 a  set-current-plot "Class Plot"
' Z' a) D) a5 A3 f9 H2 ^# o8 @  set-current-plot-pen "low"
0 I; Y  \0 p0 h  plot count turtles with [color = red]
' {* @% C7 D! I  set-current-plot-pen "mid"
+ q9 y0 s* |2 ?( l  plot count turtles with [color = yellow]3 H: ]+ ~% ]  H% w" \6 K
  set-current-plot-pen "up"
6 A  C  w4 k3 p$ W& y  plot count turtles with [color = green]
3 p; m! S9 o, M( _end8 G& ^0 a/ V( [

1 ~) \0 E: d! i: Xto update-class-histogram
9 Y. T& S/ x# K! h  set-current-plot "Class Histogram"
6 s3 v2 @* M9 j  plot-pen-reset
" M& M, _) a( T1 ^  set-plot-pen-color red+ L0 @4 U! R" y
  plot count turtles with [color = red]" d) {8 _# x( }" R: i& |7 F1 e6 A5 i
  set-plot-pen-color yellow' q* l' m" h) Y' ?
  plot count turtles with [color = yellow]! s. u/ c$ j. ]; H  b. g  y
  set-plot-pen-color green& B5 m! {3 M5 S. n5 O+ w
  plot count turtles with [color = green]
, ]% B3 C0 J  ]: X3 \6 S+ iend
% x! C3 ^1 Z7 Q6 ito update-lorenz-and-gini-plots: T. y' p$ F6 p4 Z, u
  set-current-plot "Lorenz Curve"
2 N: X- z9 M3 k3 m  clear-plot
' e6 J$ ?/ v, O0 x* d9 B- Z' L- p% {1 U/ ?& k* N
  set-current-plot-pen "equal"
3 j- }) J5 n4 H/ ], \! l* ^  K  plot 06 R; _9 U5 ?8 N) ^3 _/ j1 {5 }
  plot 100
% M7 G5 r8 T& e' L
2 L. c" B1 V/ K& W; o8 R  set-current-plot-pen "lorenz"
$ T& H# R3 N! y1 d" \! w5 I  set-plot-pen-interval 100 / num-people
7 L) a8 z  J  h) h1 K% Z  plot 0
. e7 w9 V  {" y' {9 t! S$ ?( R$ C6 F+ x* [% T
  let sorted-wealths sort [wealth] of turtles" {$ Q8 |  Q3 {3 x/ U3 v& ^
  let total-wealth sum sorted-wealths6 i- F  m5 f, Y0 x0 A$ N
  let wealth-sum-so-far 0% k2 x9 W' h+ }, p  J
  let index 06 e7 n! w- X$ s# a. ]
  let gini-index-reserve 0
: O; D9 I9 ]! b+ \, @. ]3 j( l' R' f( h9 R0 F8 @0 _' S
  repeat num-people [: |. _. r& s3 ]5 V7 h
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
# V/ m6 H' A) z8 G    plot (wealth-sum-so-far / total-wealth) * 100
( p; m. V1 \5 N# L6 b4 t2 ?    set index (index + 1)' Y3 z: j& [# C2 C
    set gini-index-reserve- q, D9 _4 g. J$ }
      gini-index-reserve +" r# _  Q6 r% Y7 ?
      (index / num-people) -
* P. _; J8 b+ L0 f  c      (wealth-sum-so-far / total-wealth)& H1 d9 v1 G9 b  g8 S4 v, `+ l
  ]8 r! {" W7 \, T" A

9 P$ E* @$ M/ g- n# ~  set-current-plot "Gini-Index v. Time"
8 H7 B4 d. D7 A# r4 L% J$ u/ Z) K& B  plot (gini-index-reserve / num-people) / area-of-equality-triangle# F+ S: ?8 A- x1 Z! J4 k
end7 y6 i  r" ?3 v: `1 D
to-report area-of-equality-triangle
1 t+ O6 H+ p5 R% d5 Z, B( U  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)# ~5 B4 [7 z0 O/ D' G9 P( @
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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