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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; u: ]9 G0 m  C3 a/ Y& G, O1 O
globals
2 M" R/ e; x( C0 h1 {4 i[
% ^+ h0 I4 |3 ^$ n  max-grain    5 ~1 X+ ?# K9 \# K7 `2 ]6 a
3 Q( U1 |7 P; s( W- j2 [
]' X2 A* t9 `  a4 ]5 l7 y* J* u

) C# z5 U& H6 H1 \/ U* z  tpatches-own
! q+ S/ P' r: J$ M+ u4 F5 v+ @[/ h( f: X. s" S6 u( z9 o. b- x
  grain-here      
  f* b0 l1 u6 b; ]: ~( J! Z  B  max-grain-here  
8 Z/ q) I" s  ~9 [2 V9 k% y3 j) f  Q]
' p- N* H" ^2 h* {/ {0 t; i5 {2 _3 j: H( I8 l
turtles-own  S4 r0 V( c7 J) }6 F
[
. k7 o. j$ b2 c- S& }0 s  age              ( r3 ~9 Y: T. M& Q8 W( y
  wealth         
% D, I6 q7 s! S% A1 s0 R2 o# X  life-expectancy  ' m' H7 a3 ]) J
  metabolism       5 {: u/ i! B4 m9 V8 f. M1 X" b- C
  vision
9 f; A" ~1 ?. v6 F  inherited         
. P4 q, X6 P% u# M; g]: ?8 e) O- l$ Z, X. R& Z
1 s/ s+ A; }, B4 f% X8 ]

8 f* Z' `* |( Yto setup
/ J3 ]" |3 q- U+ G% {: y  ca
/ F3 t: |1 L+ s9 r7 [  F8 j  set max-grain 50
$ F5 C! F, |8 l) g, v4 N+ E: Q  setup-patches* L# d. Y- R* w1 d( F; @$ ]
  setup-turtles
3 ?# i9 ^7 @0 P; {  setup-plots
3 {4 W" b% n  C, z7 S  update-plots
$ j7 q" I# |' x( W7 ^; E5 R% r9 F( Wend: Z3 J* i9 s: l4 q% h! K3 N
to setup-patches
( O9 `6 G1 p3 Y8 }1 s- n1 ^  ask patches
- W* V. y9 W$ H& p  W0 T    [ set max-grain-here 0- L1 x7 b* z6 G# I7 x! `9 ~
      if (random-float 100.0) <= percent-best-land
: q1 K0 K1 j) i4 q6 D! K& i( V" w        [ set max-grain-here max-grain/ P, c/ O9 }* b
          set grain-here max-grain-here ] ]
: q( m/ ^0 F* N  repeat 5' J! g1 B) \' D8 w( w$ Q
    [ ask patches with [max-grain-here != 0]
; T$ u% O" \+ w        [ set grain-here max-grain-here ]
, `$ c5 q5 e. Z3 w7 _* Y      diffuse grain-here 0.5 ]
% W: [/ W" m' J3 i1 g% S* r2 k  repeat 10" I+ k  h  p3 Q$ z5 g6 }0 x
    [ diffuse grain-here 0.5]          , S6 U) e  P6 S- V( e$ \* `
  ask patches
, g9 j9 w, ^0 W$ ~  l2 a    [ set grain-here floor grain-here    % a$ h: w( f6 ^  w- ?0 m) D
      set max-grain-here grain-here      
+ V0 x* J5 S+ E1 O0 [1 t" ~; O$ \, w      recolor-patch ]2 N- l) `- h1 V" f" D) J
end
1 G3 k3 o/ t# l0 a/ Bto recolor-patch  6 G3 g  l4 D1 t" I0 a( r3 n+ V
  set pcolor scale-color sky grain-here 0 max-grain# P7 u5 m. t/ |; e; t$ v
end
) @( Y7 h, p. m/ Lto setup-turtles6 r- V/ H9 A# j
  set-default-shape turtles "person". R! v& O0 x. t$ C& Q% S: T
  crt num-people
; `6 S7 |1 l/ R0 c5 X( `* ~    [ move-to one-of patches  ' N; o! d6 ?! R2 W: Q9 }
      set size 1.5  
4 b: `) C: X' D. M      set-initial-turtle-vars-age
/ R# v1 `# Q( }7 @+ U6 h      set-initial-turtle-vars-wealth+ [: x$ b  N( o; X& r
      set age random life-expectancy ]
5 z6 T- q# K: v' P  recolor-turtles
' |# Z8 P5 G. Z/ J; w9 j; ]end
/ j0 P% F4 d5 Z( F8 u3 K7 v; N- W
3 i" R* |6 S7 \. l! xto set-initial-turtle-vars-age
/ B$ B( D+ ]  f2 r0 _# V( q3 l let max-wealth max [wealth] of turtles
! J( F) U/ U8 @   
+ L4 x$ S7 g0 V# Q+ Q+ b$ j     ifelse (wealth <= max-wealth / 3)4 a7 C- m7 a% Y' i
        [ set color red 7 b0 U6 ?" [3 }2 ]
          set age 0( ]; y2 }7 N' V+ S
          face one-of neighbors4 ' l8 y( {/ Z" u  {- J; r/ w
          set life-expectancy life-expectancy-min +
! m  a7 J. i+ e" j                        random life-expectancy-max 5 d+ X8 J( W) Z8 i
          set metabolism random 1 + metabolism-low
3 c: i+ B4 Y0 q! P8 m( J          set wealth metabolism + random 30
! C. g  r+ L* C) u  X9 {          set vision 1 + random max-vision# |1 d. z3 m( E" f9 g8 j) L% i8 c( Y5 S
             set wealth  wealth +  Wealth-inherited-low ]
& v$ L' S: O2 n3 I6 }        [ ifelse (wealth <= (max-wealth * 2 / 3))0 \: x1 t4 p3 \! Q8 s7 e( y5 }
            [ set color yellow / j1 \# H1 G/ E
              set age 0
/ Q( q9 `5 @5 ^$ F" Z              face one-of neighbors4 4 D+ @" x- d1 L5 ]# Q% M( e
              set life-expectancy life-expectancy-min +( t* N- j7 E# g+ J- g
                        random life-expectancy-max + 1: l2 @, q6 T4 U6 r
              set metabolism  1 + random metabolism-mid
# @1 K6 ~/ ?) w, [              set wealth metabolism + random 30# Z2 R, @: j3 k4 u; z
              set vision 3 + random max-vision5 Q6 ?+ m1 a: N6 _) L5 ~
                set wealth  wealth + Wealth-inherited-mid]0 y" c+ a5 \; C
            [ set color green ' a% @$ i; U2 Q
              set age 0
1 a& T" Q/ ~2 a0 j6 ]. U% U( N              face one-of neighbors4 $ Y/ k0 B# t; \* s/ J" p8 D+ [4 ^
              set life-expectancy life-expectancy-min +
9 a- H/ {; k% ]) {1 ?% n( x                        random life-expectancy-max  + 2# D" F6 Z3 ~8 ~* `
              set metabolism 2 + random metabolism-up& e( @+ n/ U! i( A0 Y9 o: y
              set wealth metabolism + random 30+ v% u" O' l; j" c2 {! s/ q8 S0 s& V
              set vision 3 + random max-vision& ?  F' T; N+ R( N$ T  p1 T- ?
              set wealth  wealth + Wealth-inherited-up ] ]
5 D4 w8 V) a! L% L# T) K" l$ ]. O
4 y: h5 y, D! ?- c  eend) e' q( ~7 x3 C2 t
to set-initial-turtle-vars-wealth  o! }& S* M( q. d9 z
let max-wealth max [wealth] of turtles; V5 P# f% L, F! `: y) ?7 B, v; O4 k
          set age 0* w7 {# n) _! v$ ?0 u7 m
          face one-of neighbors4
! k8 s5 t$ C; [9 O4 o  h          set life-expectancy life-expectancy-min +0 i  w+ I8 Y7 O1 l$ J! Y' L6 I- L
                        random life-expectancy-max
) W$ C( z' f. q1 J4 s          set metabolism 1 + random metabolism-up
- i! z  U- j& d8 V, A( L# s          set wealth metabolism + random 30( X) A) i* N" ?( k
          set vision 1 + random max-vision ( v7 o% R0 f# |1 `( U9 D0 U% I
end
( |9 a" E# l) p& S+ tto redistribution
. Y  S1 q$ e* s& G$ `$ P( |8 Klet max-wealth max [wealth] of turtles% ~. Z* q& g! n8 D2 u2 J# N' ^
let min-wealth min [wealth] of turtles
1 j7 m: y+ U# @" Q% Vif (wealth <= max-wealth / 3)
: y4 @) I2 k* Y% O; ^% z8 B [set wealth  wealth + Low-income-protection ]
, U. v8 u9 x0 r5 e9 v- ~; Eend
1 \% I- U2 j0 v+ C, W0 Y          / s$ @+ t1 ~; N
to recolor-turtles
, G3 x) x3 F' l/ C  let max-wealth max [wealth] of turtles' f9 I. s: [; g# E! k
  ask turtles
- I' U4 c8 p; o) u' |- u1 }. F4 B3 e   [ ifelse (wealth <= max-wealth / 3)
1 z* y7 ?7 j' H7 W        [ set color red ]' ?0 e# T0 v, |# l
        [ ifelse (wealth <= (max-wealth * 2 / 3))
4 {) i3 a% L4 r1 d% n" \5 S; d            [ set color yellow ]9 z2 k# k; U8 X% D; Z$ m
            [ set color green ] ] ]
8 ^9 b  x. Z; W6 h8 O1 D  F ask turtles [ifelse show-wealth?
  ^2 Q5 E8 D' \! {6 w+ @    [ set label wealth ]) i# Y* f5 W& h" F9 I8 A, g5 d
    [ set label "" ]]6 Q6 r" A, v# }# b, ]1 ~
end  r/ |  I% z) u: T1 x$ |* v5 d, ?0 H: t& S

. C' q; m3 K) x- wto go' Z+ g" L6 ~- X7 A9 @
  ask turtles
& |6 W5 L( ?% o. x    [ turn-towards-grain ]  
! r. g  G( z$ k6 x7 @7 V( X  harvest1 e7 L% y, T" W. c: U1 ~& C- s
  ask turtles
$ u, a+ U2 G. Y# C2 U  u- J    [ move-eat-age-die ]
8 l4 b& w' ~- ?& L0 ^0 v  recolor-turtles2 z- H- X. o' h; N3 J
  if ticks mod grain-growth-interval = 0
3 ?" v( b, ]3 j/ G0 n    [ ask patches [ grow-grain ] ]$ ~8 A5 f+ L; I) r8 a2 |4 V! p
   
4 P3 T/ J6 ~: q* w' s  if ticks mod 11 = 0
7 a5 q& Z) f* u' T  [ask turtles
2 A+ S5 V9 q4 @* V  [ redistribution ]]( A4 r* x1 d( T+ T; y( G) q
  if ticks mod 5 = 0
& e; H$ n# I. q+ D* s( v3 R   [ask turtles
% Q  ?4 d8 e$ d1 g1 a! H  [ visions ]]9 B8 ]7 n4 e. Z
  tick
  J( J6 i3 U' [' F) _  update-plots
" T0 E- p& X& W" e$ Rend1 k# C3 V( J$ w. e% w
to visions
. D4 q- P6 g! ^: \/ U( n& E  |" S set vision vision + 1
$ v, }( \* G2 a- ?end, m) F' M5 M) T
" W$ ^6 d4 ^/ ], t  Z* X1 w

7 J: j" C0 e3 J, {
0 e8 F( V2 B& ~; o" D* pto turn-towards-grain  
2 ?& ^3 F1 s. x$ M# n  set heading 09 k+ j* w1 Y: f0 O. c+ `! K- `
  let best-direction 06 i4 t7 C4 }) D$ v' [3 x4 O. ?! s7 q
  let best-amount grain-ahead; k+ B, v/ b/ d* y% t
  set heading 90
7 ]2 ?! V0 i: ]) ^  e% B+ l  if (grain-ahead > best-amount)
9 U& Z/ U$ Q# S8 Z0 b/ E) O    [ set best-direction 908 D7 O6 ?4 |+ w: V2 m
      set best-amount grain-ahead ]& ?( C* X+ l8 p
  set heading 180
& i% P3 \$ F6 l5 E  if (grain-ahead > best-amount)
! z- ^+ B  g$ `' G$ L1 c+ q. n% S    [ set best-direction 180
- y& X* |8 x' z1 ?      set best-amount grain-ahead ]: z5 H$ X; V+ G: V, G& A8 K  k4 d' ?
  set heading 270/ g  I; r9 O2 v5 _; Q) _
  if (grain-ahead > best-amount)1 E. X; G% z/ A# E! M* @; a- {
    [ set best-direction 270" a) m, ]+ I* O4 w2 N" L! F
      set best-amount grain-ahead ]
6 Z3 Q2 j1 N+ {  Z& v. K  set heading best-direction0 l5 J! `" c# C. p% a/ h/ C
end0 o1 S, {" s# s# a3 d
# i+ o# `5 ?' z% [6 V
9 w$ T$ I$ q0 J7 z
to-report grain-ahead  
9 \' a: j5 d  J/ W, l  let total 0
9 H& y  j9 d& V+ d  let how-far 1
/ e! U; g8 J: w7 e' D% r+ f5 B  repeat vision
! @8 |5 u5 V) m7 o# E+ v1 c6 Q    [ set total total + [grain-here] of patch-ahead how-far
' O5 t: T" H* t9 ]  J2 z/ m/ c4 U8 F      set how-far how-far + 1 ]
2 @2 k/ [3 M" J  report total
. t9 k* Z) i' I5 J5 {7 T9 wend( F2 l* z8 Z" E/ }- G# J
; a+ Z% T! `& O# Z! f3 K# L& I
to grow-grain * m) W5 I2 t1 B3 f
  if (grain-here < max-grain-here)- Y' M0 g! p" b2 K
    [ set grain-here grain-here + num-grain-grown. a5 p/ D6 T7 A* u5 W0 u( a
      if (grain-here > max-grain-here)
8 \! D( @! s! M, P/ L0 h" t9 U        [ set grain-here max-grain-here ]
' E2 ~' M6 c" {6 }! M# ?- x      recolor-patch ]
  c5 g7 f- t/ Z( s" @end
9 l* M; n0 Q. }& W4 K6 Oto harvest5 S' a/ {9 f  k' ?/ `
  ask turtles
7 J/ Y- D4 D( F. E- C% U9 M    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
5 E. N5 s: P0 T4 ^0 G2 {" A  ask turtles: N* O; W) i6 N2 o, K
    [ set grain-here 07 p3 R) i! w, ]0 ?. ]2 D7 l
      recolor-patch ]9 k3 ~8 D9 a- x5 f: d
  2 y) X$ r+ t! |' `4 t# f
end  K& F  y6 O7 E0 r. G" c

8 ^; X& s. v/ T; a* bto move-eat-age-die  
' E. S. p- s, D1 J  fd 1/ _! _0 P5 Q4 q7 t% [7 u2 r# @3 Q
  set wealth (wealth - metabolism)% V  W: Z) u7 w; @
    set age (age + 1)/ v! g- c) J, i
  if (age >= life-expectancy)* R* w* S- B, {/ Z; H3 q( {  ?
    [ set-initial-turtle-vars-age ]
3 N$ l, b4 ~! Z" {7 s+ r  if (wealth < 0)7 ]- X* q; I7 v& W
    [ set-initial-turtle-vars-wealth ]5 _# M; k& V9 a7 u
    ; L; W# {3 n! U9 [' _# F
end
8 t1 @+ f! T8 X2 ~7 C" V6 S. }0 _+ @2 ]# X9 V, t2 Q

1 l0 N7 Q! t4 x: w3 Gto setup-plots
6 u6 c! z( K. u  set-current-plot "Class Plot"
& |# m, L: v7 D- z6 ]  set-plot-y-range 0 num-people0 I! D! w! h$ h2 G9 h2 R3 i6 h
  set-current-plot "Class Histogram"
- P- B* C) v: E; e  set-plot-y-range 0 num-people
# G7 |; s' z: {$ z& Xend
6 j0 z% d* J3 p! |$ K3 N6 p( }1 A% K1 B
to update-plots
) D( Z1 D- P- F2 a3 h' F; M# B  update-class-plot
7 t( {9 r! |- |" R0 T" u4 s  update-class-histogram
, L0 C. [# C+ |# m  update-lorenz-and-gini-plots5 h9 Q) h4 R# R* b, }: O% T
end
$ `4 Z1 k  W( F- ^: r2 W9 M- E5 w7 e) L6 A/ K
to update-class-plot1 J% W* w( G4 u8 X* e5 a; J
  set-current-plot "Class Plot"1 Y. b8 ]! \* x* S" P% `
  set-current-plot-pen "low"$ i0 l* y: w6 E$ F( i0 R1 I4 L. j6 }) [
  plot count turtles with [color = red]  z/ ^& v+ ]/ E: m. z
  set-current-plot-pen "mid"" U5 N& i1 i% G$ {8 ]9 r8 Z
  plot count turtles with [color = yellow]  `5 T( u! |! e$ ^  z- J
  set-current-plot-pen "up"
$ j/ @0 G' j; s" t6 Z  plot count turtles with [color = green]2 W8 [3 x7 H; ~5 z
end2 D" r- Y" }) m9 i* c

$ j+ [+ |' K" D0 m! L1 }to update-class-histogram
0 B% W# X% k5 ]( j: |% V( D$ w2 z4 Z9 ~  set-current-plot "Class Histogram"
5 a! X& Z9 i' ^' d0 K! }! W  G  plot-pen-reset
! \3 S2 R: a5 G  set-plot-pen-color red" F3 R+ ]5 H; A: R
  plot count turtles with [color = red]
2 p' \3 Z9 J: G1 w8 d4 g  set-plot-pen-color yellow! s# Z4 |0 @  u+ L4 s
  plot count turtles with [color = yellow]* q, _8 J: |* p! E& M4 H
  set-plot-pen-color green! }! m& D( a( X* n- C
  plot count turtles with [color = green]
3 ?* ~& Q. M) O* w, ~! g/ F0 pend4 z" k# g! \/ q  M% L- ~
to update-lorenz-and-gini-plots4 f8 h# l- T6 ^3 g0 L
  set-current-plot "Lorenz Curve"* ^' n; k0 @2 A# i4 g; r7 S0 ^& [
  clear-plot5 ^  H) j. |1 Y# I7 X

! j. T% h; L4 z- b% F  set-current-plot-pen "equal"
: w. S5 [* s" W) i/ e; ~4 n6 V# {2 v  plot 0
' \* a; z0 ^/ ?+ w  plot 100' P# k0 n' W' }* q$ e
; ?0 x5 v! g; p% u0 ]
  set-current-plot-pen "lorenz"
+ m  q* U$ S1 a  set-plot-pen-interval 100 / num-people
& m* @, c) j6 i: O  plot 0
- e" ^) W  P) P; g* }* g# l8 O* r" K0 z  X
  let sorted-wealths sort [wealth] of turtles
0 a; a) V: p% e8 n* l1 ~/ {  let total-wealth sum sorted-wealths3 S5 p" L7 w# a' d5 x; n7 N& x
  let wealth-sum-so-far 04 c1 z  _/ {9 H& q0 M- k. J1 r
  let index 0
3 }$ ?  D+ p2 x- r, A3 R3 p  let gini-index-reserve 0
# Q' V  N$ v, v8 \0 i- o4 u/ b4 j% z2 B; e# h
  repeat num-people [
2 X$ k+ f  f" f9 E    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths): I2 M) h. k( u
    plot (wealth-sum-so-far / total-wealth) * 1001 _" p  m2 A$ |8 F1 p, q
    set index (index + 1)
9 |4 e% s0 e1 Z/ m( A  @2 e    set gini-index-reserve) w4 Y) Y, X* B6 F9 w
      gini-index-reserve +
4 V5 G" K, i0 p6 B9 V4 h2 _3 _      (index / num-people) -
# c- T9 I+ X" V: o3 `# E( z' W      (wealth-sum-so-far / total-wealth)* }( M7 I: D' l2 }+ u" C/ z7 G9 s6 ~% i
  ]& n4 E/ M' s- K: \! I- \& v

5 k1 x5 s: d5 F# f4 P, J  set-current-plot "Gini-Index v. Time"0 c; J0 ^9 H! Z" p8 Q1 K
  plot (gini-index-reserve / num-people) / area-of-equality-triangle- _- B/ n- ?* ?; j+ M
end1 w& q# j! d/ b1 ?$ \3 O
to-report area-of-equality-triangle
7 p  R3 N/ d- E. W  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)) b5 h; J/ H, l5 G! h! A/ @" e
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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