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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, H' K! E; ]$ Q+ J4 D4 S
globals$ v/ {2 n; H: K: a5 z
[
+ a$ |% i$ k3 v8 T: G% {* v  max-grain   
4 h6 n. R2 x# r7 W% C
+ l  k4 S1 X( i6 t. x9 z0 H* R]
( a7 g# m& S0 t9 i+ e2 \+ c* j, @! o& {9 |7 L' S
patches-own% t) P' E$ y8 N8 d+ |/ ^; W
[
5 o4 B1 q+ x# o! E9 K  grain-here      
6 i8 b( [0 D' G: Z  max-grain-here  
9 T+ V" Z, X; Z' u5 R9 j# u]2 R! t( ?$ r5 K  U

! h2 r+ P8 y4 [3 X% nturtles-own5 n2 j, V9 {1 F! J. D- z. O: X
[5 E/ }9 B+ Q! \. ^
  age              , k" L' M3 J) ^* ^# G% O$ C
  wealth         0 P" K0 o" [$ b8 W) V4 Y" `
  life-expectancy  9 b8 z- k  J) W; W, i
  metabolism       - O" Y$ R/ m% u- M4 Z
  vision) B! J8 L& D, ?. I# e" c3 h
  inherited         
" W  O! b  S6 s) H0 M" \]1 i2 r6 e6 i2 J

' n, B7 K3 j3 a
5 [# u, b  v, M  P+ u, ^+ }( Jto setup  E6 Z( ]& Y( f4 B
  ca
& ~7 s1 w2 ^& q8 M% \0 l; @  set max-grain 50
9 J' d* F. J" a" X7 T' b5 x  setup-patches" s6 a  E! t& A" ^, n4 w, l$ k
  setup-turtles3 W/ S+ J6 [6 Z& Z  W3 M( t
  setup-plots
7 S1 z* v$ V0 s8 D) Q' r  update-plots2 U# ?5 U) c; u, ~# {
end
+ r6 A" r( o( T& C, n7 r% zto setup-patches. g. v6 u! @/ ]' X2 O
  ask patches" h8 ~& z8 b8 a
    [ set max-grain-here 0
5 h3 j! p2 s6 d9 |      if (random-float 100.0) <= percent-best-land4 o9 G0 o2 M! Y8 g0 g
        [ set max-grain-here max-grain# ]7 U0 L: s, ^
          set grain-here max-grain-here ] ]1 w  m0 t1 L5 u; h% @8 Z2 p( G" Y
  repeat 5  u$ @8 ?4 `  i# O
    [ ask patches with [max-grain-here != 0]% e3 \, _9 G; q9 K
        [ set grain-here max-grain-here ]8 ]! h" e: {2 w- n7 r- z! q+ M
      diffuse grain-here 0.5 ]
3 n5 ^4 y% P8 B& G& K0 W' f  repeat 10
4 W3 H+ S/ s+ _. \' q9 ?' |- a    [ diffuse grain-here 0.5]         
& o0 l1 R9 a! b% C  ask patches
+ E* I' L" u0 A( y6 w) r' [    [ set grain-here floor grain-here    # K4 C0 m# [6 d0 ]
      set max-grain-here grain-here      1 s$ ~, Z% f% r: q$ s/ k: e
      recolor-patch ]
: _; g/ W" v4 x+ }9 i+ F( jend# M) k: V: ~- Q, _6 z5 r2 }. f% q
to recolor-patch  2 w. L2 W( z: ]" E7 S& R
  set pcolor scale-color sky grain-here 0 max-grain" C3 i: p3 A* B" d( j4 {
end
7 T4 n- x  i* `  R* dto setup-turtles
. i9 t5 c- ^/ O3 f  set-default-shape turtles "person"1 t  M$ I, M  V. ^' Q7 J! T$ a
  crt num-people& y! p3 E5 m( r6 v9 S7 }! l) }
    [ move-to one-of patches  
" B/ Y6 {% z% ^1 Z      set size 1.5  2 d' K+ M7 x' m! Q. F
      set-initial-turtle-vars-age
; L% M  J- [. z* y3 [" {2 a      set-initial-turtle-vars-wealth. }% S" S: @2 t" t! J; j
      set age random life-expectancy ]
1 x+ M% v- a4 [0 h9 Q/ ?  recolor-turtles+ P) R. g7 N; ?, H2 L, E
end: a6 t" V$ I, e0 r1 X

/ Y) ?5 R% v" |7 a5 s/ Oto set-initial-turtle-vars-age5 f1 d) e% R  _. {% a
let max-wealth max [wealth] of turtles4 _7 X; Y& w1 K' d& a( f  b+ @) }
   
0 z. @" o1 v6 F4 \: m     ifelse (wealth <= max-wealth / 3)
8 i) O+ T# `# Z1 _& P$ O8 W        [ set color red ) @6 ]1 s+ X; i6 u1 i  I8 q. z
          set age 0" Z4 u: L, s! Q
          face one-of neighbors4
% r8 G" O- K$ e$ r          set life-expectancy life-expectancy-min +
& R; E: d/ L/ M& [. [. B9 M                        random life-expectancy-max ! D) S+ c6 X. }% O( ~7 z
          set metabolism random 1 + metabolism-low
7 i6 d+ X  W/ U$ t+ E) A4 @0 O          set wealth metabolism + random 30# B" R9 F9 I% }% Z$ }
          set vision 1 + random max-vision
6 f+ y0 C$ |" _+ C$ K+ b7 A/ c) X             set wealth  wealth +  Wealth-inherited-low ]1 Z3 ^4 U# z' B/ G' e
        [ ifelse (wealth <= (max-wealth * 2 / 3)), F2 i, r  L, T# p
            [ set color yellow
8 i  W: h0 H% d  U              set age 0. Y6 U. Q* e# T3 r+ t% k2 @# r
              face one-of neighbors4   k1 e8 [3 d' f( x
              set life-expectancy life-expectancy-min +; e9 \9 P) ?/ O
                        random life-expectancy-max + 15 B; v5 X% J4 {7 b
              set metabolism  1 + random metabolism-mid
6 Z% g: ^1 Z* H0 }; Y+ Y              set wealth metabolism + random 30* O. p4 \" w3 }* v
              set vision 3 + random max-vision2 r: O, a8 H/ v) o- r9 M. l* |
                set wealth  wealth + Wealth-inherited-mid]! G" C/ A: o( Q/ O
            [ set color green & d2 N" ?$ w5 A
              set age 02 T  J7 g* f9 @$ y% W+ a" g
              face one-of neighbors4 # }9 G, {8 K% {; r
              set life-expectancy life-expectancy-min +
$ |' Z, i1 V" M& M# }8 `# f8 \                        random life-expectancy-max  + 2
9 t- `$ L' p0 m7 q8 F              set metabolism 2 + random metabolism-up
! F8 o  s. t3 }/ T5 P7 f, j              set wealth metabolism + random 30: Q4 T* P( T! H% B4 {
              set vision 3 + random max-vision
" A( N# m# H/ m4 k              set wealth  wealth + Wealth-inherited-up ] ]
" d0 |9 w4 m, h8 |! x, k 5 \' x3 h" \) |
end/ \4 z. K! X% t. a: v1 Q
to set-initial-turtle-vars-wealth, k: a  _$ e* I( u, W
let max-wealth max [wealth] of turtles' t5 G8 V" _/ f, y  R% V, x  _& f
          set age 0* _  a- L5 N( M/ X
          face one-of neighbors4 5 ~. j/ R6 F0 Z: `
          set life-expectancy life-expectancy-min +
/ v3 _( h5 s' E9 @9 `# W1 H* I/ `                        random life-expectancy-max
7 A6 |+ Y8 D" L          set metabolism 1 + random metabolism-up/ r( R& H& `7 }. d  [8 W% G4 {
          set wealth metabolism + random 30
$ l, w7 @6 r9 L5 A1 O& S          set vision 1 + random max-vision
  V/ |4 O) x* n& ~end
% w4 q* i0 R4 f' E8 e; \$ J" s. Fto redistribution
  D/ ~& b6 ?, a, D1 f3 ]! Xlet max-wealth max [wealth] of turtles
; _7 ?5 b8 I, u5 q9 I8 Q$ p0 klet min-wealth min [wealth] of turtles
: ^- p$ I- h' G% j! ^if (wealth <= max-wealth / 3)2 p# W5 m+ S# W+ l7 ~
[set wealth  wealth + Low-income-protection ]
3 N, ?- u) |* U  qend
! K" {* E* ]# l6 P! A& R         
' g3 V( x' ]7 rto recolor-turtles
( O- m- b, o2 ?8 q, T- s  let max-wealth max [wealth] of turtles/ T. Z& a9 V6 g5 ~0 m
  ask turtles) s5 v# {. E+ i6 d8 d' k
   [ ifelse (wealth <= max-wealth / 3)$ ]; R8 Q7 ~7 k% _% e- H- E# W3 \6 @1 q
        [ set color red ]
; ^2 F% J2 T, H% m: F        [ ifelse (wealth <= (max-wealth * 2 / 3))
0 U: [4 |8 b2 p2 E" z* F            [ set color yellow ]) c. R+ g% \  k
            [ set color green ] ] ]" `  |+ ^1 u1 |2 [
ask turtles [ifelse show-wealth?$ O! |9 O1 N9 x$ C0 t5 o
    [ set label wealth ]  ?, |3 r. h% W+ O7 }
    [ set label "" ]]1 v0 m8 }, A: U$ a
end. M  S! S4 [5 @% Q' M

, q# C3 K" V' b% y9 S$ g4 mto go
; p8 j& ^1 t- z' R  ask turtles' a; s: V7 V: k$ M; j' h5 `: h3 o
    [ turn-towards-grain ]  
1 P& J1 b+ }' y  harvest& ~# U" h$ a. S% |
  ask turtles
0 b& f+ V" p( v: T% t    [ move-eat-age-die ]$ I3 e7 m" f4 t, m, w. B1 v
  recolor-turtles9 c2 ^  x( P! E! B
  if ticks mod grain-growth-interval = 0
7 H; X/ V( {. o+ V/ `8 S/ j7 ^    [ ask patches [ grow-grain ] ]
1 i5 v) Z/ O4 o' j/ R   
9 M" t5 P$ |. e1 M& Y4 A  if ticks mod 11 = 0/ ]2 s& Y8 s2 k- {) w/ d" d
  [ask turtles
& Z8 W/ B  L7 V' N, B' e; e  [ redistribution ]], I! G0 V' M$ ^
  if ticks mod 5 = 0$ g7 ^3 Y3 j+ f; z" e, w
   [ask turtles
- g0 ~( v7 W& c7 M* a) H2 ]# X; O' T  [ visions ]]# I  ^* G+ Y2 O% z" Y0 G
  tick3 O. D) e4 C0 k) f
  update-plots* m% S4 Q$ C$ _5 T; U9 B( l0 Y
end" M6 o) o2 o0 @9 d- r
to visions
7 f2 ]3 E5 {5 i8 K set vision vision + 1 - K4 f6 B$ ^, {( G. {! e6 W6 _
end3 N# @5 L4 v$ H) P* G0 K) |# O' G# Y) d
8 k$ G) f8 m2 r
" i6 `" b0 c' F. K/ K0 x. }; F4 C

6 O8 _' x# y4 D- [- o7 A% Sto turn-towards-grain  ! P& W8 K) K' Q3 L* t( b
  set heading 06 T) h; X) w7 X( F
  let best-direction 0; }6 s4 p9 b+ T3 N) e: p( I
  let best-amount grain-ahead$ Z! |; H/ F. X9 o
  set heading 90' Q3 g* Q9 C5 R9 P  g3 A9 k
  if (grain-ahead > best-amount)1 m" ]8 S" p- o, {- ?( B% v: \
    [ set best-direction 90& X% |" Y5 g) A: l2 V
      set best-amount grain-ahead ]
) B/ L# M1 i( f# P! Y- n& W  set heading 180
5 f- o: A# [' f* L  if (grain-ahead > best-amount)
* B' q6 S' {) F/ q' M; n0 |7 L    [ set best-direction 180
+ ]  B( }% A! E0 y5 p9 a3 {: M) F$ h' n      set best-amount grain-ahead ]. @+ b, x- x1 @' u& S7 |, t* j2 |
  set heading 270
( [' s" O  c% C+ p$ c# Q  if (grain-ahead > best-amount)
3 [4 u& `9 d' ?* L) Z! O' m    [ set best-direction 270
( T4 _% J  A) u4 ?5 N      set best-amount grain-ahead ]
: z$ W1 X  l3 }  set heading best-direction
/ l" U2 ~3 E  Kend
, ~1 z* X2 D  _& D0 E9 P# V# B2 d! l) K1 n  R$ ^5 Z
$ q( ^/ j4 a: P4 {7 O
to-report grain-ahead  : s6 M7 a* V2 V3 W# P- c: T
  let total 0
2 ?* z" F( v* H4 |- Y  let how-far 1
9 \1 ~. y% H, F+ E! E  repeat vision
) |7 h; Z& G. u    [ set total total + [grain-here] of patch-ahead how-far% g$ j) Z+ p/ _+ t+ n
      set how-far how-far + 1 ]
4 }# H- b3 F& {. I* e1 l  report total/ k) k* f9 D7 z1 t3 b3 c' L; B
end
  p  ~6 z4 T  a! E4 Z
  O$ Q4 R! u- d) {) h2 A+ ato grow-grain
  I: _8 {  X; r3 m: m0 g# k  if (grain-here < max-grain-here)
! g5 ]. x# R' K% ~. W3 F9 k    [ set grain-here grain-here + num-grain-grown
5 v" y9 l6 |0 i9 n$ F# Z& @8 s% Z      if (grain-here > max-grain-here)
; Z: q* |# [- w$ \; K1 V        [ set grain-here max-grain-here ]
. T7 Q/ v6 s  k$ }: W: l      recolor-patch ]3 j+ k9 w+ U  W8 a4 V
end) z; }( @0 ^- W3 p9 a* [
to harvest
; f0 W# R9 [4 P1 i. f  ask turtles; I8 i' d- ]8 H+ m  i+ y" B
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
* ]* i& t/ D, {4 E: s  ask turtles
9 A; Y/ Z: n% l$ k/ n; x5 W    [ set grain-here 0
7 Y& i: a5 e, c2 a9 N$ x$ E      recolor-patch ]
. Y' ~/ u4 B" `9 F* P, Q8 P  F  7 `- y  G6 A& \
end
; ?! h- h/ K8 w7 B& o$ M  S; Q
& G, [3 U% ]# W  jto move-eat-age-die  
; A+ }, d  ?$ A  fd 1
6 }; R* A& C9 @2 Q  set wealth (wealth - metabolism)
$ g2 J( `  l4 v: N    set age (age + 1)
1 b& C5 Y* e" ~  if (age >= life-expectancy)% J  }  ~5 [+ S, V
    [ set-initial-turtle-vars-age ]+ Z5 V( j9 r, N; ~+ a# e7 o- R
  if (wealth < 0)0 y- I0 }! R# @0 ]
    [ set-initial-turtle-vars-wealth ]
6 d" Z& x  j0 _) I( K6 X" J( d    - [' ~! B5 C& N. w6 f
end' e, n4 n1 ]3 o1 w- l0 M

; `/ @! |) x  I" x
0 M# t6 [. |* ?( r$ p, I  {to setup-plots
' B- L$ K7 E3 M( B5 l  set-current-plot "Class Plot"
! |" x( T6 g  e1 o! \7 Q+ s& H  set-plot-y-range 0 num-people0 e( l& j+ E$ Q8 Q! g
  set-current-plot "Class Histogram"- Y+ Q! N" {4 P/ P- t4 ]
  set-plot-y-range 0 num-people
: Y. r9 s% k; R3 s2 F# bend% Y% Q' t  O8 ^6 O* e; Z# o
* ]( z2 K+ i" l3 A4 c
to update-plots
3 x8 Q4 T# H1 L) U4 K/ W  update-class-plot  q2 t2 F: \7 c: \! W2 z1 F
  update-class-histogram0 S& f- P/ E% M9 f
  update-lorenz-and-gini-plots
) ]9 Y& L- E1 U  Z/ }end* s- H0 ~" Q4 N3 z3 k" b

2 p9 J- u- K/ a! d5 _* Yto update-class-plot% p+ ~0 X$ ~- I! y( T
  set-current-plot "Class Plot"
$ i& @4 j6 V0 y  set-current-plot-pen "low"2 _! Y, @6 W; Q$ a6 @" k
  plot count turtles with [color = red]0 B7 D% h( p' q$ x( ?
  set-current-plot-pen "mid"2 s3 P' S6 P+ v/ _4 x5 m8 t$ Q& B
  plot count turtles with [color = yellow]8 H& Q; G- u1 ?1 [4 v5 J
  set-current-plot-pen "up"+ B' Q6 U* X3 P. Z+ S; n8 J
  plot count turtles with [color = green]
8 R7 K% L  E6 ^! a. yend, f( v. R1 A, |/ b) }3 w

% s. A6 d: Y/ \' ito update-class-histogram! |5 u% o; T7 q8 _$ o0 I
  set-current-plot "Class Histogram"
7 z5 s! T3 g3 d; w  plot-pen-reset+ }3 q3 m. d0 E" t5 h6 J4 F
  set-plot-pen-color red* p. E3 m) D9 Z% Y9 E7 m7 G: H
  plot count turtles with [color = red]' j% i3 q# P4 H( \& j1 J3 A1 W* `
  set-plot-pen-color yellow. B+ E6 U; \. ^4 k6 V
  plot count turtles with [color = yellow]
- O8 _* L% t" z+ P2 i. h  set-plot-pen-color green
4 F% M0 _' _* R4 V  plot count turtles with [color = green]9 W1 X2 r! w6 }6 ]  [) Z! O8 B+ d7 m
end
/ p2 u! K% X8 O; Bto update-lorenz-and-gini-plots% A' b/ A  T; l% G2 B7 x0 E) ]
  set-current-plot "Lorenz Curve": `- Z# y- D  z5 ~4 R
  clear-plot7 N* P! [9 C, m- ^- n. P* R  T
  Y8 w( r/ {2 f
  set-current-plot-pen "equal"
* Y# U  j$ R: r. w) Y  plot 0
2 y( l; t& l% ]- w  Q  plot 1006 t. W2 w) Q3 ~0 z6 T
0 K" X$ a, K; M, e/ o5 P
  set-current-plot-pen "lorenz"  Q$ }3 S) A2 K
  set-plot-pen-interval 100 / num-people! Q% E5 Z. E: D
  plot 0( B0 Z1 u. X$ i% p1 c0 l
9 R4 Q  T: F3 U4 y% s
  let sorted-wealths sort [wealth] of turtles
6 R- |- b+ Q4 P$ @; t2 S4 V  let total-wealth sum sorted-wealths
- B. B+ [* t9 s$ N" \) J# ~/ P& k  let wealth-sum-so-far 0" n7 S6 Z7 O1 u8 U! H3 h
  let index 0
3 j0 r4 z: i2 ]/ G% |; u  let gini-index-reserve 0
* f& L. x! P4 V- ]/ \0 n# b/ H; i9 X8 @" m0 g
  repeat num-people [
! H$ {9 v9 i4 H* ^+ ]0 q    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths): Q! a" J; R* v# Z1 b# k
    plot (wealth-sum-so-far / total-wealth) * 100/ N" e* |/ N, r
    set index (index + 1)
" d/ l  l' G0 `: b5 U    set gini-index-reserve
, \2 ], d/ A$ ^" u* K' g" s      gini-index-reserve +; D" C$ N% j; Q0 C
      (index / num-people) -. I- A+ W) O( N# o) ~! |" H
      (wealth-sum-so-far / total-wealth)9 Q1 t4 S9 v8 u
  ]. }8 J/ G7 w# ?3 G4 d* e7 m+ B" l

7 W8 u/ R( U) e( }8 [  {, u: I  set-current-plot "Gini-Index v. Time"
# K9 d* E; _1 y' C  plot (gini-index-reserve / num-people) / area-of-equality-triangle8 O# x( Z6 q# H; k8 Q8 v! ^
end
2 q, a" D. Z; ]8 C* dto-report area-of-equality-triangle
! ~( y- S/ z6 C; s+ l  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)' D- V6 D/ W3 H- M1 @+ t  d. {4 r& 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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