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楼主 |
发表于 2008-3-18 13:10:54
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你好,这是我现在正在写着的程序,以上问题就在其中,请多指教
; C4 j7 p: r" D/ Z( N4 Zglobals[' ~* N! x& H E" h# D
xmax' F8 O# m5 |9 C
ymax; ]! X; K I' N8 `
global-reputation-list4 x: K9 U+ e2 z7 Y2 R G* H
; c5 r5 T( n6 a4 H u$ F7 P
;;每一个turtle的全局声誉都存在此LIST中. r$ r$ p- h& B" b& H- d
credibility-list
( \2 u' \9 S- C4 y;;每一个turtle的评价可信度: m& G2 ]% {8 V+ t8 A
honest-service
# U2 C2 E u" N, wunhonest-service
% H8 |( I) j. j% ^- P8 Y, roscillation x; v' {. e+ Y/ P i7 F9 s N$ E
rand-dynamic
/ ~' ]' s4 k) }3 []! T$ e3 w* e' i: p. K) `
6 V$ }! q6 M1 ^ c8 [# I, Cturtles-own[4 x9 z7 O) R' \7 ^6 h* k/ A
trade-record-all" z: Z1 J1 x/ f+ i& v' X
;;a list of lists,由trade-record-one组成8 o) y2 S! t, i, w1 A" l
trade-record-one
2 B. m3 J/ @) l;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录. R. o) Q ^" ]$ Z: U7 ?
6 Y1 B1 A. B5 z3 g5 q+ i;;[对方turtle的编号,交易总次数,交易总金额,[本次交易的时间,交易金额,得到的评价,给出的评价,评价时间,此次交易后相对于对方turtle的局部声誉]]. ^; U" ~0 q8 q! O
trade-record-current;;list,trade-record-one中的这个list,作为暂存用,[本次交易的时间,交易金额,得到的评价,给出的评价,评价时间,此次交易后相对于对方turtle的局部声誉]. G5 S% L7 K2 J, H8 m
credibility-receive ;;list,他每个turtle还需要有一个存储其他turtle对其评价质量进行评价的list& i9 V t6 h" V1 v9 X- ]
neighbor-total
& h" r1 G; c+ \! A+ |2 Y& z2 ~. y$ t;;记录该turtle的邻居节点的数目
9 L) L# v6 Q' W% g0 z) }6 c$ o7 ftrade-time
! s4 J, f+ n' S4 [3 E;;当前发生交易的turtle的交易时间
( ^; U% Q$ v1 o& B) Q: R# E) r# w; {5 ]appraise-give2 G; f1 G. p; p' i( b, b
;;当前发生交易时给出的评价: l" G+ M6 c- V: I1 X- D# k
appraise-receive
; \! x% }0 ~2 B: X: z;;当前发生交易时收到的评价
7 b- o2 z# O+ d+ k( H# [! Happraise-time; h' r/ u+ P. @ A6 [& u H
;;当前发生交易时的评价时间
) Z! N1 s$ |, P( D7 O( M6 }% e wlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉5 \! Z$ k$ ~: l
trade-times-total5 A& T; }* @& k) n; n- r3 v) J2 J
;;与当前turtle的交易总次数
; Y- ], t' A6 j" Mtrade-money-total
/ S- T* b; a0 M; U! ^! r;;与当前turtle的交易总金额- ^7 }4 w5 W2 G+ G6 |5 p
local-reputation
! \8 K! H$ X8 B; u2 G! f H$ oglobal-reputation
# r' C6 }' r( ^* Gcredibility
! B! U% ^( j' r2 {;;评价可信度,每次交易后都需要更新
( u. t7 T# h: R( o& K+ Acredibility-all
8 h u& j% d- N# n;;a list of lists,由credibility-one组成。[[1对j的评价质量的评价][2对j的评价质量的评价]……[i对j的评价质量的评价]……],其中一共有people项,根据
7 [/ e% b' Y2 a7 W0 X1 m9 V7 P8 I+ T+ H/ C" ]
;;turtle的编号对号入座,对于其自身的编号,在计算用到的时候再进行剔减,初始值均为0.59 s% n/ ?7 J/ z2 Q0 H
credibility-one
, D5 T0 K% |; l; s, o( h9 y7 P;;a list [i对j给1的评价的质量评价,i对j给2的评价的质量评价……],其中一共有people项6 f$ T+ z5 f( g' ?7 U9 O
global-proportion/ v& a& _; i4 z3 G/ K
customer
8 w" Q$ b. A0 g& h2 Q& b; @1 Wcustomer-no2 m, @& P( n# \- O2 M9 n
trust-ok6 { i2 c" i3 f5 ]9 e- x X4 l6 {
trade-record-one-len;;trade-record-one的长度
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;;setup procedure
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to setup. C$ `$ e0 W/ V9 k5 ~" t
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initialize-settings
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: O, t# ~/ n$ A3 y& Q: zcrt people [setup-turtles]% N) J7 V0 W" D3 J
1 P$ L$ C. b+ d$ g- ^reset-timer
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# W# a- r; ]5 @7 `2 Ipoll-class7 o7 O1 H& D% n' B# \
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setup-plots
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do-plots
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to initialize-settings. \7 X3 s# S1 J" q# s# i- J* x
) m \# @% w5 @ Qset global-reputation-list [] U3 H& j4 R+ r8 K& K$ H
7 Y/ {! p: W( [
set credibility-list n-values people [0.5]
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set honest-service 0
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set unhonest-service 01 y; ^+ F. U! n. l
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set oscillation 0
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set rand-dynamic 0
) |" O5 k9 Y& k Cend
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& q3 b- K$ h* Q. ^to setup-turtles
) w) ~. z! N" s$ G0 q9 T& zset shape "person"" o# o: b9 D8 X: v0 l& ~: q
setxy random-xcor random-ycor# o+ i7 U' G) E, W1 P) g
set trade-record-one []( R% T% j# c1 T* B
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set trade-record-all n-values people [(list (? + 1) 0 0)] 6 s* C& F7 B" H4 v
+ z% D- K$ I( Tset trade-record-current []( n( A3 f3 X% [% T
set credibility-receive []8 [' \9 y" V" U4 a+ e: ?. j& e
set local-reputation 0.5
0 }% l* `+ j! U c9 Y0 w$ n& tset neighbor-total 0
& R w, o6 ?2 _set trade-times-total 0
5 w: h. i. w3 I+ C( _set trade-money-total 07 d# U/ W _5 o4 S& y0 ^3 j
set customer nobody7 s! w9 V; Y) P0 e% j: a# Q
set credibility-all n-values people [creat-credibility]3 I6 A2 e0 k/ N! C
set credibility n-values people [-1]
1 z2 Q, [4 P, H& x, y+ `0 hget-color
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end5 @( z* A+ X7 m; \7 e3 |) l
8 {3 {5 H( R4 ~8 r" u0 j8 K& W( @$ wto-report creat-credibility. H, P4 _+ ^& y2 }) m6 y i6 r" t
report n-values people [0.5]. {- E+ w6 T+ F: r' t' E4 W8 Z
end
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to setup-plots
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set xmax 30
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set ymax 1.0
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, R6 M, f. D0 K: r \# Q& b( pclear-all-plots
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setup-plot1" [" k/ p k; \9 V F
- k* Z( t' j( D5 O2 msetup-plot2
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: U. Z* N' k) h- u/ tsetup-plot3
! r9 |5 R" |5 T: kend
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- @* }# `8 M4 o8 W. E6 I% \;;run time procedures
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to go$ n& N( C! [9 `8 `
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ask turtles [do-business]8 v. D- c g+ g
end. \3 [# s; C# ?7 T
% V8 \6 d8 W A' Xto do-business 0 x! ^' U- N! R- y/ v& I
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! ^* h: G5 H' o5 f, f( n8 Mrt random 360
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5 ]1 Y1 g! ?/ P. u) Z sfd 1
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6 O" U, e& Y) Cifelse(other turtles-here != nobody)[
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set customer one-of other turtles-here1 t/ {8 ]2 \; j. `; M1 d
6 p& D5 w2 M+ w;; set [customer] of customer myself
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set [trade-record-one] of self item (([who] of customer) - 1)
; A8 j$ g( `0 a[trade-record-all]of self
# p& I" }& r% J a- T;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self$ Z1 m3 V, U/ N l0 X
+ f8 i8 V9 ^/ D2 ], g& }set [trade-record-one] of customer item (([who] of self) - 1). M7 I8 q9 H. l( _! Z2 b4 A& v
[trade-record-all]of customer% O; i6 f' \, I ]3 _8 y8 Q# S
" y" U; G6 g# \$ n& wset [trade-record-one-len] of self length [trade-record-one] of self& c, o' u2 f6 Y, b* l; K' R
$ n+ A. A9 @! S6 }
set trade-record-current( list (timer) (random money-upper-limit))
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ask self [do-trust]
" y. L0 F6 v( P9 M% N6 M+ z;;先求i对j的信任度
% K" y, N5 J& { k
2 a2 e5 n! }; g" [9 v" A. S* Zif ([trust-ok] of self)" L: }4 l4 V9 d+ R* Y& k( v
;;根据i对j的信任度来决定是否与j进行交易[
4 x8 F8 N; F; ]ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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[! A5 i) R* r& n$ P/ X/ y% X% K, J
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do-trade
% Y$ L# X( M% N8 ]3 I% q/ O- s6 ^
# v$ B# [) N: pupdate-credibility-ijl, R e* o6 j( Z: d
3 g: P! @2 y2 ]: P# [" _update-credibility-list
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update-global-reputation-list
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4 R% u- O% j+ e5 q3 y! fpoll-class/ U$ W: Q* P% h5 X, d+ k; H6 l C
9 H" D' Y- a2 h, n C
get-color
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]]
e+ u9 L, ?% x0 `0 I8 E) y: W9 }; {- y' O1 r
;;如果所得的信任度满足条件,则进行交易0 Z- D8 i8 g9 u
: m1 X( y; }0 ]0 m1 u$ x[
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9 ~6 z2 D$ K$ r' w; p/ p5 M" ?rt random 360
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8 Y0 ?& Y8 ~# yfd 1
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end, F" ?' \" h, o; m: U2 z3 \
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to do-trust
0 j, X; p9 u0 O1 Wset trust-ok False* H! L" S% k* Y) S
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let max-trade-times 0
; L. P# \# o: t* x: \foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]" {- q2 e- J, E f
let max-trade-money 0/ j" V8 I; f5 o8 {; t
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]# C3 X) p, ?( Z# }
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
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get-global-proportion
8 H4 w/ i3 S0 b* V, j$ alet trust-value
7 {% x& \! o5 i# S$ Slocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
5 U4 {, N) G6 V) K! G( ^3 J$ o- O6 Y/ O# @if(trust-value > trade-trust-value)
/ w! y6 u3 A+ t$ O[set trust-ok true] M- Y6 n, `# r
end8 X& f N4 y [; }- l* R
( d6 H# M w& R8 P* Rto get-global-proportion
) t! Y: ^" ?( o4 p( u1 t" i! Bifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
- H1 x4 i, m2 |$ Y[set global-proportion 0]" m$ m: `! e; G& m, T
[let i 0
, o! s) E5 _: L% d; q& b nlet sum-money 0
0 X1 ]. ?: Z( mwhile[ i < people]
! Y0 y* W& u; I, d: q( y[
3 _* z" _9 @3 {: l2 H { zif( length (item i* H2 w$ i/ U/ R M( L
[trade-record-all] of customer) > 3 )9 ~3 v/ g* p- c* l2 e3 l
[# e7 Z, y$ L8 m4 U- t
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
0 C/ w& w+ k0 ]]
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let j 0
, j( K8 F+ b5 t8 V/ W& Z8 S: wlet note 08 G3 C- v* b: s$ }) l
while[ j < people]
; C0 _# {% Q5 |[
. r2 H$ q& y& m) h) P3 E1 Fif( length (item i1 }, R0 B. L) p( L7 D" v
[trade-record-all] of customer) > 3 )
, k$ ~, f3 ?. z1 X) e[- ?, c1 x2 \; \; t1 h
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)( `3 q; c7 ^- A3 l) m
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
7 I0 A7 N+ H) V" e% \* c* ~[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
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]+ q1 m0 j' z l: ]3 R2 B
set global-proportion note; q5 Y- x9 @( s$ @& ]8 Z, @
]* u6 `( {7 f: T. M ]# _6 k" E
end
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6 b# B' b: \- q1 o6 i5 Y7 U5 H5 Ato do-trade9 j% I& @0 A' t0 m' a' C+ o$ N( p
;;这个过程实际上是给双方作出评价的过程3 f) q. o) w+ D/ O" [- q$ a( q3 E6 A
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价$ v! @' N6 ^- l5 K' n
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价" v) P. z( C! \" ~( ~! c
set trade-record-current lput(timer) trade-record-current
. d; \+ n- Z! H0 O* j7 g. u+ R;;评价时间" ~2 A, }4 w& J0 X
ask myself [4 f9 u$ t6 g5 o: ~* s* D; g
update-local-reputation; Z9 `! a4 U c3 }# d) o
set trade-record-current lput([local-reputation] of myself) trade-record-current- X6 [2 O2 X; k) c% l& l' k
]" T* Y6 r j D" L i5 ^
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
2 K" \: p/ z( p! C;;将此次交易的记录加入到trade-record-one中
0 n5 |1 ~* z, p# ~# {: Mset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
2 D7 h; B; c: z& P1 slet note (item 2 trade-record-current )* a9 P9 W" y* E
set trade-record-current
x9 N$ I2 \' l( h( Y9 }(replace-item 2 trade-record-current (item 3 trade-record-current))
) ^, r9 l9 o7 S" o" zset trade-record-current; u: r; J# {3 }/ ?) J4 H
(replace-item 3 trade-record-current note)
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! a& M* D2 _! n' a: Nask customer [
, }" ^6 S b8 pupdate-local-reputation1 l, i: k) I# a
set trade-record-current
p+ I6 K& w9 u% x$ s/ [8 D& _! F(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) + J0 l0 Y V9 Q
]
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set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer+ L, m% U# g3 {% i! t$ Q' L
$ X1 g8 i& z; L9 dset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))7 o2 B/ C3 D/ w6 I
;;将此次交易的记录加入到customer的trade-record-all中7 [+ I- N" j8 Z. I4 b
end
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to update-local-reputation# }; K9 |4 y o. O* v F
set [trade-record-one-len] of myself length [trade-record-one] of myself! @) o [, t: D5 z7 y. r
- s& j1 I5 v7 m' w" S, }8 \. S$ W' D# M
r5 i2 ` ^1 q" a, |4 z9 n;;if [trade-record-one-len] of myself > 3 8 `+ {" U- c/ S# d, M" m3 `' M$ N
update-neighbor-total
0 B E$ Z4 d1 r' }9 b;;更新邻居节点的数目,在此进行5 u- _1 w, I0 ]$ a0 x: {
let i 3
/ w) E& N) H, s( Mlet sum-time 0
5 E2 j0 g" R; uwhile[i < [trade-record-one-len] of myself]
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set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )- y8 q/ r) V3 ]: z% r, v1 i3 r
set i" C r" Q V- c
( i + 1)4 n1 ~0 [: } V4 ?+ O
]- q! P5 @' q9 p g
let j 3. e" T! a/ n" [+ v
let sum-money 0* e3 f% \1 V' j7 V
while[j < [trade-record-one-len] of myself]
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set sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
& `# i2 B( @# Y% j% ] tset j
7 K% D% K5 x, d6 [; N3 r3 c c( j + 1)
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4 V' @7 n5 T3 E' [1 jlet k 3% B2 N. |6 R; K+ c
let power 0: x+ o( `6 c+ W/ I& [
let local 0
# X* N' C p5 N5 u/ ]7 Awhile [k <[trade-record-one-len] of myself]
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% c- q! {- j2 e2 P- N3 qset local (local + (item 0 (item k [trade-record-one] of myself)) * (item 1 (item k [trade-record-one] of myself)) * (item 2 (item k [trade-record-one] of myself)) / sum-time / sum-money)
, l7 S' X6 K& h. s; O* m6 r" W; kset k (k + 1)
: f% b( a ~# U& c) H0 F! D]' H9 ~0 ?; V" E: u& O
set [local-reputation] of myself (local)% P: N7 w" F) V% B" A& o
end) d% D4 T4 X; ~1 x$ G
( c7 K' T8 s @/ `/ \0 q# Oto update-neighbor-total
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if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
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end/ b5 s% T' ]8 E6 h
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to update-credibility-ijl
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;;思路:每一次,当一个turtle发和另一个turtle成功发生交易作出了评价之后,就去搜索本次交易对象的邻居节点,对这些邻居节点的评价质量作出评价。
& u/ {! d) s4 }* b; Rlet l 0
. Y8 ?$ W$ D4 l, m; a+ V6 {while[ l < people ]
3 m" ?9 |/ n0 ~;;对j的邻居节点的trade-record进行扫描,以对j的邻居节点的评价质量进行评价
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let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
( K/ M5 \) X) n, H4 Z) x9 ?if (trade-record-one-j-l-len > 3)
4 W. M" c* ~) Q5 b, q[let trade-record-one-j-l item l ([trade-record-all] of customer);;暂存那个评价质量正在被评价的turtle j的与l的trade-record-one
/ f7 U% m6 F9 \3 dlet i 3
$ L1 |7 \+ n7 a; D# olet sum-time 0
1 d# x, |/ ~9 w( T, dwhile[i < trade-record-one-len]
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set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
) _3 W3 n; V) h/ \, hset i
1 e J/ C, K- o7 i2 v( i + 1)
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4 p {2 A9 _, q9 ^2 V6 ~ y8 Rlet credibility-i-j-l 0
8 X/ z; c( A! J7 o;;i评价(j对jl的评价)5 f# s0 N" E; e8 G# d9 K
let j 30 O) M8 N+ X S2 A! T! d; L' [5 h
let k 4
( Q+ _$ C. ~/ x2 Uwhile[j < trade-record-one-len]' L" ^. K" J4 x; h$ k- A
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while [((item 4(item j [trade-record-one] of myself)) - item 4(item k trade-record-one-j-l)) > 0][set k (k + 1)];;首先要寻找在i第k次给l评价的这一时刻,l相对于j的局部声誉$ T4 r" Y# j8 s/ o- H8 A
set credibility-i-j-l ( credibility-i-j-l + (item 4(item j [trade-record-one] of myself)) * (1 - abs ((item 3(item j [trade-record-one] of myself)) - item 5 (item k trade-record-one-j-l) ) )/ sum-time)
6 Y" a: K/ @9 T- S: H2 V4 |set j
( v# [! C+ _2 d' u, X5 ?( j + 1)
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set [credibility-all] of turtle l (replace-item ([who] of myself - 1)([credibility-all] of turtle l)(replace-item ([who] of customer - 1) (item ([who] of myself - 1) [credibility-all] of turtle l) credibility-i-j-l ))( T+ {" ?: w. `
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let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
( }# w% {( X7 I# T3 f" d$ Q;;及时更新i对l的评价质量的评价6 }% g) K! `( q0 R) X ?) y
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]6 h3 e! [( ?- @- R+ @. I
set l (l + 1)( V: [! f5 O0 h- Z0 Z8 T
]
- C% S( q* m0 hend
* |+ c: ?; N. i% c2 O1 r2 P9 M- J9 Q$ M! k/ b9 j/ m
to update-credibility-list
! x2 y6 A' S( q3 _5 o6 P" llet i 0
4 e; c0 t/ \8 Mwhile[i < people]
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let j 0
. V' o5 U E+ A' y2 \% Klet note 08 D* F% ^8 K8 M; P
let k 0
+ ^/ c1 J8 R! @9 x;;计作出过评价的邻居节点的数目
' A; X, P2 W/ ]+ Uwhile[j < people]
" c s- j% ?" k) a[7 y# c/ z& X: l' J% I7 [* v" Y: ~$ A7 Z
if (item j( [credibility] of turtle (i + 1)) != -1)
2 k7 M- K3 \# F# J- `& W;;判断是否给本turtle的评价质量做出过评价的节点3 c6 A9 d! Y2 Q
[set note (note + item j ([credibility]of turtle (i + 1)))% [# L5 A$ t* S; X1 ^! N6 F
;;*(exp (-(people - 2)))/(people - 2))]
@7 _/ N) R- i* Vset k (k + 1)( A& \" ]6 V. v" U
]# H7 r9 g( B7 ? b8 p
set j (j + 1), i# D. ]9 s" m# S% {7 B# K
]
5 a6 o6 J. E$ L/ [set note (note *(exp (- (1 / k)))/ k)& ?* ^1 j* ^' }8 b
set credibility-list (replace-item i credibility-list note)$ S I. K v! X( s3 O! S
set i (i + 1)
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end+ _( H8 ]0 W5 `7 n, E/ o- e6 C* }
9 E+ ?/ J: v0 s6 G$ X/ e9 Uto update-global-reputation-list9 I; I& @( K! }
let j 0
5 G' T w8 d* a2 jwhile[j < people]) Z* F/ ^0 R: K
[. h5 |" }2 { t3 `+ P n5 g2 s
let new 02 w# W. k( o1 H/ A
;;暂存新的一个全局声誉
* ]7 S) u3 y. k8 C3 y2 Rlet i 0
( Z l: p2 P# I4 y5 \9 O" Plet sum-money 0) p3 }1 J7 ~% u! G
let credibility-money 0( D! Z/ t/ Y9 C( M2 k9 U) T2 e* n
while [i < people]
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set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
- O B# r- h8 T1 b. U4 p- d8 eset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))) x& m8 L1 G# w/ K6 `& [
set i (i + 1)& e( p) Q, S" u, |- f
]2 u8 G- E+ m+ e$ H( z! R4 u
let k 0
( F# }7 g1 L5 qlet new1 0
4 ~7 \0 u9 p2 V: F8 o* w4 A7 i6 Zwhile [k < people]( _. ?+ a' ]5 [% a- J
[( P P7 Y, R; ~. Q# `4 Q
set new1 (new1 + (item k credibility-list)* item 2(item k [trade-record-all] of turtle (j + 1))* (item 5 (last (item k [trade-record-all] of turtle(j + 1)))) / credibility-money)
, y; L* G8 @$ o4 j9 s( m) rset k (k + 1)/ i# M0 t2 ], [8 f# N5 i5 u
]7 g* [# c3 J. }7 ~ Z
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
! k, J. n/ V- C7 I- p k& Z0 Yset global-reputation-list (replace-item j global-reputation-list new)
2 k5 Y: s- C# M; ?) A7 Mset j (j + 1)1 F7 T4 f" j( g( o5 o
], j1 ^: P. ]- g. j% o6 a
end/ T6 k9 ^9 R- t/ ^# S' z- q9 ~9 z
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to get-color' q' Q0 W: f6 B) }' u/ v1 e* r
' ?! ^8 z" s& J* h! Fset color blue e3 U7 X/ x( l6 K* h# m9 t0 K
end
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9 p5 W+ X+ d$ s3 J! m: u4 c. Ato poll-class. j* l$ M6 d* n2 m, S! j* _0 W
end6 ], k2 ]) \/ S% {* s! d" \; |4 U
" A+ l8 C$ P, f5 cto setup-plot1
* v8 {0 D* x5 c. Z& L- j6 p; F: s
set-current-plot "Trends-of-Local-reputation"
7 w: n! n( J& H( {: w+ w' A( J$ M) M4 ]
set-plot-x-range 0 xmax
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set-plot-y-range 0.0 ymax
$ ]( q: ~: ^- ?, send
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& l; a( m, M$ L. L7 k8 S' \to setup-plot2! {: p4 y+ R4 J, u
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set-current-plot "Trends-of-global-reputation"% X) E5 k' d9 @
! o( ?' `% I; x+ Kset-plot-x-range 0 xmax
% y+ [( G$ \" G* }0 ?6 x$ l& y1 a4 E7 _4 n% C3 \- l
set-plot-y-range 0.0 ymax
5 }4 G. D6 T2 u; a# w8 J yend
! X7 e$ L5 |( b
) M2 o Z- O4 Y% l" hto setup-plot3
5 Z) l4 |$ K' S8 a( W5 e4 O" A& K9 ?
set-current-plot "Trends-of-credibility"9 `' q- d) O4 n: t
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set-plot-x-range 0 xmax1 j* d4 v% \% k1 X
$ F* E/ k5 G( \+ D) nset-plot-y-range 0.0 ymax
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$ \2 @, l& m7 ]3 z: b0 J/ r' w6 q
to do-plots8 j7 n. V2 E( C x8 C) {" K
set-current-plot "Trends-of-Local-reputation"
' d' K- n3 g' b$ V3 U- Rset-current-plot-pen "Honest service"% y& Z5 g. \) |$ Z- c1 P# ^
end
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[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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