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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
( \: v% M& n' d& xglobals[
2 G/ l5 h0 I0 W+ s& L3 xxmax
8 y _( ]* G Y; }" pymax
; v' K" e3 x/ I$ h9 Q$ p- Fglobal-reputation-list U2 f% T7 h0 |* P
4 }/ j8 U1 b# e8 u
;;每一个turtle的全局声誉都存在此LIST中
% r- d: L' ^2 d5 L7 L1 g6 V6 }9 Ecredibility-list
" e* W2 p( i) r;;每一个turtle的评价可信度
7 z) `! A# A$ n! x( Y% n- f5 |honest-service
/ A5 h1 n, H7 n" M$ L6 s) junhonest-service
& L8 t. \+ _$ Y- ?; N6 F8 koscillation' Q- A) a: C" H$ c1 v
rand-dynamic
. T+ L0 i. y$ I9 |]
0 g; G4 [) q7 J$ E4 Z' s" v9 U
turtles-own[
& P# p8 Q5 w- w$ Z2 V* w/ ^trade-record-all+ ]" y" i; @+ \9 k0 s: N& h1 \
;;a list of lists,由trade-record-one组成
9 I! \, d/ F) W3 `6 E$ D$ xtrade-record-one& `2 j% e+ z5 K
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录# M1 M$ F, u9 d7 A6 D* X5 j8 \1 R
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;;[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]]
8 ?% r3 r& G+ J' I& Ftrade-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]# a; M$ k, X2 ^
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
9 t& t! B& t8 s, x( _neighbor-total! p* c1 Q# y7 d. s3 r* {4 ?; u
;;记录该turtle的邻居节点的数目
. ]6 t9 M, J) d. m1 B' Y4 Ftrade-time
/ c& ~5 ?8 q5 l: F;;当前发生交易的turtle的交易时间9 ]6 U6 \/ `6 D- b% B" {5 Q2 J
appraise-give
& i" }, r3 F/ x1 R. K# \8 z, t;;当前发生交易时给出的评价
4 ]1 G1 T! h& J. M7 {appraise-receive1 ]0 S: o+ Q% A
;;当前发生交易时收到的评价; Z* Y: h. e) l3 D: ?
appraise-time8 u3 k0 ~; r7 j$ a; N& H
;;当前发生交易时的评价时间
, R) O' B& l Q* r y4 ^local-reputation-now;;此次交易后相对于对方turtle的局部声誉
. F3 T' L! J' ]. F6 I* c- Ttrade-times-total
- S- S3 M- I+ s% w6 S;;与当前turtle的交易总次数
8 z T9 {* Q) N+ C+ Ktrade-money-total
+ J6 f" d: T( Z;;与当前turtle的交易总金额: l( e2 N- @' G: p8 I9 i+ ^
local-reputation" @2 L: l2 t* T, J% K: W
global-reputation
# \: Y3 F$ |3 R* ]credibility
4 `* k7 l, q p$ A" }+ T6 h;;评价可信度,每次交易后都需要更新
% S) ^. x \7 ?! ]: D1 m$ R% dcredibility-all3 q# R- J; L; @, A, c
;;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
& o. b5 y# W! p( Y4 {. n
, Y( o$ n% P. K, Z;;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0.5* A8 Z+ Q3 ~9 B3 h
credibility-one
: i" _, C- \7 }& t, R" \;;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
. x! V1 [$ N1 P9 [+ l! Gglobal-proportion
0 |7 {. E; e2 t2 r4 v- tcustomer
, n; K# Y8 f+ ~) {1 fcustomer-no+ x+ f/ ^8 N4 H/ w0 {; L
trust-ok
( b# m( z6 f3 Q+ U" W! B1 C Ltrade-record-one-len;;trade-record-one的长度
3 V" b. k* K4 l+ I]/ s0 p2 S7 k5 Y( m- E) q2 S
+ k1 O8 j' f8 s. G9 X/ ^
;;setup procedure
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to setup7 ^6 U& C' h2 m5 \) i9 R
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ca9 P; _7 C) }+ l2 Q, R0 V
/ E- d" ~ v; x: ~* Z% Iinitialize-settings
Y1 A( K9 V. I
, C# t' f: e" ecrt people [setup-turtles]$ |0 T& V7 g+ s: M
# K3 p; C9 v0 j C i* zreset-timer
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poll-class
; N7 @; ]0 `3 a$ K: z- Y2 b3 f) q. U/ d) ~ Q$ s. u
setup-plots/ H, Y2 N/ l. C! e( F9 N* a. P$ H2 o
2 P" m2 P" y l# o8 Ido-plots( W% p `# T4 x7 j" ]# \
end
- M0 B& U9 J5 ]' ?- S" I3 t/ p" w3 h' g. s9 l
to initialize-settings
2 _9 @" Q1 h3 ?: @% R3 t5 p
( z2 y: p4 a3 @* z/ hset global-reputation-list []
( h+ l8 ^8 r1 o" V$ e) F: z+ ]; b( K' |) n' [# ]$ i
set credibility-list n-values people [0.5]
( x( \; I$ {6 O0 A* g1 T/ L0 G; _: D% L+ A
set honest-service 0" W+ }3 l" o7 \% L) D& q" a
1 j8 q% W n5 @/ ~. jset unhonest-service 0
3 D: O7 N* j4 E+ R2 `, A) I0 N2 Y6 ^: u4 e
set oscillation 0$ k8 n3 T7 `3 A& j8 f
/ J& ~: T$ q3 t4 v( J& l
set rand-dynamic 0+ a3 H2 Q0 N( M( ?5 x2 ?
end
+ ]5 S I! A9 V) z
) h. @* ?) u* v- kto setup-turtles
) j7 J8 m3 B( A6 nset shape "person"8 ^' ]2 W6 S; y" @" ~
setxy random-xcor random-ycor9 I8 }) c4 g( i: s7 l1 F
set trade-record-one []4 q9 D) H3 ^2 k& e
7 N& x. _4 k, C7 M( A9 Z# ^! g, X+ Rset trade-record-all n-values people [(list (? + 1) 0 0)]
* a2 d+ r+ l* f2 }4 Z/ H6 m* s+ y: i
Y1 e! {$ e2 V: N5 r* M! Mset trade-record-current []- k5 T$ G# s+ ?/ E! L+ m
set credibility-receive []
! Z$ G8 e$ c+ |+ O5 kset local-reputation 0.5) M4 Z9 K4 s7 ?3 f1 L* K
set neighbor-total 0
% B, s8 R* J/ {/ w% K t t" O1 rset trade-times-total 0+ A+ K" U' C* E F/ q. M
set trade-money-total 06 z$ W/ X, t9 \; i2 j; G2 i
set customer nobody6 \6 b. B& z: V+ U6 i' P* y, o
set credibility-all n-values people [creat-credibility]7 p, p6 H- L ?
set credibility n-values people [-1]
; e" [1 x& r& bget-color
. m7 G8 e$ k6 ?2 Z: v
; `/ _: g5 U/ {/ p2 L1 qend
h% ~+ A1 `. t5 z3 i
, m/ V4 U* M1 ^. nto-report creat-credibility
u, r& `9 c3 c# C( sreport n-values people [0.5]7 a' F4 {6 y6 K, u
end. @; o0 `* I7 g
: O$ U+ J# J" t( l1 I/ j7 c: v; xto setup-plots
5 q+ G# z! q; ~: [2 K' T1 O# t& d9 [. Q2 m% C5 v
set xmax 30' b# k( ~7 E9 E( z1 |
* N' I2 d0 w3 q$ v, ]3 l, C
set ymax 1.0( j; o- I3 j! F
# T6 t* e0 S; n( uclear-all-plots
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setup-plot1
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setup-plot2 T# n4 ^! H9 I- ^5 o1 m
( D; X9 b) f2 `8 P) y* Esetup-plot3' ?. T" X8 A2 }8 b2 f
end
8 s* t$ N/ Y8 V9 V3 E. M
. r8 ?- D' Z/ A) N, ]( p4 o;;run time procedures3 @) k# v0 O, z6 o* i7 [
7 {2 p s! w7 P+ eto go
: f% X% p* ` P/ O6 {
, e/ v1 @ \. s& w2 J8 Bask turtles [do-business]
& R# ]! @# m1 p; vend
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to do-business + \# W2 S9 u$ E, J0 ~% E% x7 {
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( y4 U$ _$ {0 F+ T Z) ~8 wrt random 360# w) u7 K. T; s. `8 e9 u+ `
8 O* K6 G9 L. V1 T8 C/ E
fd 1$ P; _. G7 u! k4 \! e/ | X
6 R+ _5 X$ j5 G. w8 e9 }" mifelse(other turtles-here != nobody)[% \7 p# X1 D1 G3 M
; r7 a$ k. a; f5 ?: sset customer one-of other turtles-here
% O O, ~: i0 S- X [) _: \* E) E+ _+ Z
;; set [customer] of customer myself6 M- `4 m f5 @" U* P7 i' Z* \1 B
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set [trade-record-one] of self item (([who] of customer) - 1) u/ P4 q7 F# W. x: W1 V3 S
[trade-record-all]of self
1 [" ]$ W1 C8 i* E3 Z# b;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
# `9 ^7 |1 N% l8 j! S% I7 L9 E& t
8 N" p" Y4 W: l2 r4 U2 k) sset [trade-record-one] of customer item (([who] of self) - 1)
& [. d) C; J2 F" E7 n* {[trade-record-all]of customer
0 R! D) H7 d: Z, X
/ M8 s" |; X! Z7 v; e# uset [trade-record-one-len] of self length [trade-record-one] of self
% U9 g3 @7 q$ D& s3 w
! }9 Q7 R/ r7 _% N& Q2 ]/ jset trade-record-current( list (timer) (random money-upper-limit))8 x y' {/ b. G
! X2 {0 G1 X# l( N" l) yask self [do-trust], ^6 O, v6 E+ V2 ]- R# m
;;先求i对j的信任度& B" }4 V0 r3 g, r
" F5 p \0 S+ Y6 N0 q
if ([trust-ok] of self)
1 |! v! p, J1 N8 E;;根据i对j的信任度来决定是否与j进行交易[9 ^3 [$ }/ y% v* U# {% T9 ^( X# f
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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( k$ H; o. W; ?; Q9 y: O3 c7 z[
g" h9 Z1 {0 p7 J: l0 \9 S9 ^4 c5 j' I) ?1 s
do-trade @6 A8 h5 y; M$ g0 ]
) \ N0 k K# W$ B& q# g
update-credibility-ijl' B! c, b7 C* a4 G8 i8 i, S0 p
- G+ ?# t, V* C! A1 h4 J( [( Kupdate-credibility-list
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9 O$ _0 s$ v: C, F0 [, n! l- A0 t% q3 h ^, k' K- O; x1 O
update-global-reputation-list4 i+ p& I* J+ L# J, O& X+ \2 o* Z
9 z% U- ?; }& ^5 s7 Z- Ppoll-class
2 M) j+ Z# y( J8 g6 f$ P' F( B( z$ r* a# {! d; \0 h
get-color
- i' F# ^! {* |$ ?* y: d) T! h/ H8 m6 T* V$ I* n
]]* x) q6 E/ V. W- Q, ~" |
! M, s( P/ K$ }" j% V;;如果所得的信任度满足条件,则进行交易
: Q$ h* L" d7 f5 H; J6 e
. v8 ?0 y( U( r[
- }1 p! [3 t: f( e8 Z; S
7 g, q. Y% l5 Q/ e# Yrt random 360
" |9 h- V. w5 l3 [+ t9 W& k' |
6 k" N9 y7 m* y$ k: ^1 tfd 1
O0 G4 ?- b. [/ U+ T6 F F# v
a- R0 B/ M1 K& L& q: `]/ K/ e4 P0 F; ?
$ X) {. Q# ]3 v# A9 l! G3 {end2 U$ n: ]0 b' K2 y- \9 |1 y
/ }: e8 ^$ O% q( j% ^ \: T( A% v
to do-trust
; R7 ^& `! p1 C( F+ E7 Jset trust-ok False( F: g& D# n+ y/ j8 ^
8 v3 u3 C: [( V5 p M$ x
. e `- [2 N+ t, S! w0 d
let max-trade-times 0
' }- E# l- n7 z5 S0 K- A" Qforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]" S% f0 e# h5 B: S. C# f
let max-trade-money 0 u- e, }* R$ K6 e0 L
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]# p3 z) {" B5 w, D5 ]0 N% d3 e
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))7 s" E# v: H t
8 D2 e7 k4 U: m0 F
4 P* _2 y J2 N/ d
get-global-proportion: ]5 @: W# c; h' d
let trust-value% Q; O2 d1 w6 c) U, m& i
local-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
: J; o& t. l* g2 b( C, Mif(trust-value > trade-trust-value)" x5 O/ x. n) o& x
[set trust-ok true]4 o+ x) |/ V0 N
end- u/ R/ j! X: I; ~4 i) y# j2 P
- T! ?! o1 y7 h' g2 X! v# x
to get-global-proportion
2 d, K* Y I! n6 Rifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
3 a" [6 P/ ^) d) w% w[set global-proportion 0]
- W8 y! d: X4 O6 G2 d[let i 0
4 S" T5 M% }: H, y" d- A( z# a8 hlet sum-money 0
. v& @/ V$ n2 I$ l, X, a& Ewhile[ i < people]0 Q. R7 U! C, } y) Y( [7 a
[! Z5 j; c0 t. N. w+ L; z9 i; x
if( length (item i- B& Q4 P! u* E2 J+ I( T4 z2 x" w% \
[trade-record-all] of customer) > 3 )
_3 J% R0 | J/ y1 b6 f9 J! s[
+ t( e% g3 z6 W4 h* U! r$ Uset sum-money (sum-money + item 2(item i [trade-record-all] of myself))* I3 B+ P5 k" C" d
]
" J: m" N! G, @]
+ J! l8 r" P2 t4 Q9 Y* ]4 F! C* plet j 0$ ?+ S# h2 q" D0 L( f0 N) \- [, Q
let note 05 b& [( Y9 s- Q7 l% u$ `! ^
while[ j < people]
2 v4 {% n' b% ?5 l[
2 a( g7 W5 _: F4 z2 g7 ^) wif( length (item i
2 ?6 _/ U# g* j( w( H( [[trade-record-all] of customer) > 3 ); O1 ~+ K. R, P
[
' x5 N; k2 U0 p& g; f: zifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
" E" O% y1 s+ p: k0 V' M- Y[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
- h+ _5 |! l4 v[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
# ?5 Y+ t' t2 n @+ x$ T]5 l" s$ c1 u, ?) E" | ]( V
]& }, w1 {5 n7 S' U0 E! N3 D
set global-proportion note% G7 u% Y! @7 h. ~% R t
]
+ S& z# m- D" J0 y4 ` B' X$ hend
, c T x/ g0 Y' {* e
- b, T8 ^+ T2 m9 |to do-trade% }! Z, L# O& d6 H2 y. \. q: M8 k
;;这个过程实际上是给双方作出评价的过程
& x% |7 v' M" T( W7 Sset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
% e5 Z9 }6 w: [4 }set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
0 Y u2 c8 ]( R) Nset trade-record-current lput(timer) trade-record-current; n' J4 {& _5 U
;;评价时间3 J6 v- }" V6 S& v- i6 x# g
ask myself [& ~+ z% ^9 q2 t
update-local-reputation" R9 _$ ?' E$ ]" l+ V7 h" U
set trade-record-current lput([local-reputation] of myself) trade-record-current( \7 q: q6 r b' J+ \4 G
]+ M; Q8 H- j# [0 C: w2 |# U% i
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
/ ?4 t% o2 c H! S0 w! C;;将此次交易的记录加入到trade-record-one中1 O# x* d" v3 |# @8 i4 V
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)- d. q, X$ A$ u* r/ c! d, A; Y% g
let note (item 2 trade-record-current )! v) l P! F, `" P
set trade-record-current- ~7 @. _& G/ _* S5 `! T
(replace-item 2 trade-record-current (item 3 trade-record-current))1 G6 ]! e# ~: q9 @% f
set trade-record-current1 }7 d3 G8 @1 }" n; E( f
(replace-item 3 trade-record-current note)" ]- `6 K' O8 V0 y+ V' H
6 o4 i" i0 h$ O
) P, u1 s: E' W$ o1 x3 K& C. task customer [# U2 j- F1 w, {% j- ` O+ g
update-local-reputation
0 B; Q" i. p1 y9 vset trade-record-current3 P( c, `" \7 S! ~
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) 3 ?; S& Z8 I5 @# h9 g
]
0 ^ \: t0 S$ a) L9 h4 A
/ q3 s# i% e( `- t8 i7 ?2 e
6 L y& L' l/ pset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
! U# @) G0 e( A Y! y
d) Z6 n" ^' d3 E( sset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))5 L( u# o7 `& B1 \# i$ K3 \' y, W4 P' V
;;将此次交易的记录加入到customer的trade-record-all中: ~+ r/ t z% M0 D
end
& K/ r% |! O. W* r! ~, k- r" B% O- Q7 X) K" L' i
to update-local-reputation
- }9 W3 ]. v: T/ nset [trade-record-one-len] of myself length [trade-record-one] of myself- L% i5 Z7 x9 t2 r7 |) T
: a \' y6 ^( |' Q& x( u; h. e) V
/ Y7 \1 y7 n' U' f/ N
;;if [trade-record-one-len] of myself > 3 . y4 W1 ~& _- F1 H. Z
update-neighbor-total7 S( f# k% T! h6 j: X2 b9 R
;;更新邻居节点的数目,在此进行$ [, V: C1 x1 Z2 m/ F3 a
let i 3
+ J1 P8 C* M' ]+ J1 z7 rlet sum-time 0- b4 v( V3 f. u/ E1 R- O& t' I
while[i < [trade-record-one-len] of myself] S% L1 M! S9 ~; `
[
3 K4 O* c* H9 R) E: ^) Aset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )0 X+ X1 X& R& a# @4 M0 v
set i2 D) Y/ m" q% W8 D4 e2 ]" d4 {
( i + 1)
1 o, T. D) z. F9 J]
/ L+ G8 L7 @& e& V' M- T: ?let j 3
8 N c1 B$ x) b8 ] q& Xlet sum-money 03 y9 }6 z: S$ I
while[j < [trade-record-one-len] of myself]6 G) Z+ d- W8 A4 t9 c W5 \
[
# c& d0 \( c3 c. wset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time); C% B9 v+ x j V$ L
set j
( C6 F) K; U/ y1 c" c) n7 i( j + 1)6 l6 y) F w8 V6 L: [) W
]7 c V$ ]" Z+ q0 [2 L( @4 i% g' B
let k 3
9 V1 Y4 ^" M6 I+ hlet power 0
' u+ Z) i$ ?, ] F! H3 F1 N$ }let local 0
% A% A4 O7 z5 A1 Y( S( \. Vwhile [k <[trade-record-one-len] of myself]% w$ R3 q/ R! t1 [
[
7 j6 E1 v+ S6 uset 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) + q; U. u% ~( M' t( _
set k (k + 1)
* d; q8 {3 R1 Q2 R3 n]
" c" _& Y2 q8 I1 H. ~set [local-reputation] of myself (local)* Y3 n% K) i& d9 G. A! J
end
% g, a$ N% x+ x b/ z; f
& e( x: n, L6 P" y6 R5 _7 N Q7 |to update-neighbor-total
/ [" o1 M0 r, e9 C7 Z. p( n1 s& A( U9 \ t" k5 X
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
( F' ~# A+ ~+ i+ }& }' {" f6 l. X v/ B( d! s, z5 [ v
6 m3 U7 t; d! P# ?end
- N6 G* o, n8 i, q+ m( z+ c6 n# K7 k! Z# t6 w( O. s
to update-credibility-ijl
% _0 Q4 L/ E; b. a2 ?' H7 E! G$ W" t8 n' g4 H
;;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。
' t% g" X) E: I7 f5 V; W4 ulet l 05 k/ B7 l6 T6 ~) G5 c, @+ m
while[ l < people ]
2 U5 d4 {+ K& n3 P9 c;;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7 F# t0 J/ o" y6 O" g
[* h9 H. L7 M! U0 l# H9 n( r$ s9 i
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
& P' A6 I) h/ ?4 L* g3 P; Rif (trade-record-one-j-l-len > 3)
+ n1 I3 f+ m% p; y[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' ^ t9 X; R4 o0 v! z. J3 w2 l
let i 38 @1 R+ ]( a- R" ^
let sum-time 0* `6 ~' F; O. ]) r
while[i < trade-record-one-len]
' S4 H; l: K2 T6 ]* W- y0 U2 p$ q[0 B3 c- ^0 u$ w2 D
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
3 u" M$ k* y; v5 V9 _" Z6 N/ hset i
3 h) M/ _5 x* p, V6 c4 s( i + 1)
: ^% C" [$ e8 _" }]
; }( y/ w0 w0 Wlet credibility-i-j-l 0% `+ k+ p4 N' j
;;i评价(j对jl的评价)6 B/ E3 ]0 f) g
let j 3
% `( S& V: q! O) K9 o$ H; \8 blet k 40 p" G4 z7 e! Y, @ D- G, j P
while[j < trade-record-one-len]3 E9 S$ D8 d c7 y' y, |' h
[4 K$ s/ y, {0 ^8 l I1 B
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
6 ]+ ^" W. v- S; x& [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)
5 b0 L* `: o+ @set j/ V. x5 m* i% o( k; d+ H8 l' m
( j + 1)# C5 A' g" H5 d- C V$ H
]' K' H; H7 v& \
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 ))5 m, {1 v0 j \# q# A. u5 J& R
% Z! j/ c* \! E9 w/ b7 ]
: C; P D) \: g' j' S$ H
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))6 w& M [$ k1 \5 F. z! V6 @
;;及时更新i对l的评价质量的评价0 _; A: r+ c `' G" p1 h
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
# ?7 y$ u" I; Q' ~% U' Gset l (l + 1)
2 W& x: O# P; [" ?4 N! j] `6 D! V9 s0 Q
end
8 U) q+ w: D% u! `1 j% V+ i0 U1 P4 P3 L u) o; N S
to update-credibility-list, Z. R% z# A5 ]4 \3 Y
let i 0' ?% ?; t2 u# q6 q% H6 Z0 L4 J
while[i < people]
: D, ~% h9 [+ f# J/ w[- v0 {8 _4 {4 J, L% h7 T
let j 0
1 o1 p; t T& N. J* clet note 0! p' I: K2 X3 \, u) h- j, O
let k 0% h6 Q1 S4 W# P! W
;;计作出过评价的邻居节点的数目% J7 }/ |; H: P. Z5 l* @
while[j < people]
# n4 x) A- q2 F# v- b7 b+ H6 B[- |3 @+ s# r. t8 _
if (item j( [credibility] of turtle (i + 1)) != -1)6 o7 d) N, E4 ?" i; M$ c( N
;;判断是否给本turtle的评价质量做出过评价的节点/ I( \8 T' E; T. A# [9 l/ {
[set note (note + item j ([credibility]of turtle (i + 1)))8 l% X) F' a8 X
;;*(exp (-(people - 2)))/(people - 2))]
; O! a( Z, t( x O7 Aset k (k + 1)$ g3 @" N' `" M" C& \; i6 V8 E
]
" L1 [4 K; v* J4 {) |# Xset j (j + 1)
, U1 K4 `0 s1 r- ]]- d% m/ i) J5 |" z- h
set note (note *(exp (- (1 / k)))/ k). r, n9 e& Y5 y0 V' ^
set credibility-list (replace-item i credibility-list note)
6 @9 u5 Z9 z9 G7 ^* c, X! V, Lset i (i + 1), \+ |8 Z( X% ~8 h
]9 U$ [) o- R" b- x
end' V9 {8 g% f( F( }+ s( x* F7 s. h& H
: ], M. Y: P; U; b6 Z. h
to update-global-reputation-list1 c5 m# l3 f# v/ N
let j 0& P4 I- g ?% O2 O4 p
while[j < people]1 ?" x4 ?8 v" b h5 M9 p
[8 j) a! W" J: I' t
let new 0
" \, L' r1 D( P6 [0 p+ a;;暂存新的一个全局声誉0 V6 r ~$ L9 m' K3 `
let i 0
& h8 @9 x% \/ R! y7 Mlet sum-money 0; [7 T+ F7 T2 d8 e
let credibility-money 0
! y' Q1 E$ B$ v# twhile [i < people]& @1 z( a& J/ h. X
[
5 _1 t2 R5 i7 W: N) sset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
/ o" B! a" m/ M+ R4 dset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
. g i) [4 }. b6 E3 Wset i (i + 1)6 @9 m/ h: H5 B8 e
]7 A. A, g4 s7 Q* Y+ T' G
let k 0# u: e& ]: K4 t
let new1 0
# ?" b# |3 ~6 a7 Y1 N: ~while [k < people]
% |4 M! W O- @* E5 d% ~[
2 P) [; K2 e$ M: f) Z% uset 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)) U8 d: z x$ ? Z
set k (k + 1)# A8 W$ N) G+ u3 L5 Z5 _
]
9 K# g) R* F' v) iset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
6 V. q) A6 l. d- }, h: h ^set global-reputation-list (replace-item j global-reputation-list new)# X! W2 N6 @8 `. C4 \9 v: a8 ~1 H
set j (j + 1)
: X R$ I1 c8 h6 `: T]
- c: z' x* _& t6 m1 }end, q8 T/ d* m; c! U o; F+ k
6 X" o! Q" Z! W: p& S$ I1 Y
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to get-color
* P- K0 p- H* {. J% r# T
* J; o% d. q# t: tset color blue
6 t2 ^. l! Y2 j4 `0 a+ f) qend+ X( S" u& V$ g) E G _; }
2 o g4 j. R" [to poll-class
! t2 D; S3 q- g8 \5 hend
- u1 j' N4 e+ |6 P+ b7 K+ w; A7 f. C" b
to setup-plot1
z$ S5 }( R: b: h9 o% n }
( @% V' K6 l: U9 S) Uset-current-plot "Trends-of-Local-reputation"
' [* \* a$ _5 X1 U5 p- {! M" a' L1 m/ a5 v: k% W
set-plot-x-range 0 xmax
2 C: Z n' H6 n7 Z0 J5 _
3 v w4 Z: ~# m g, G5 e0 o" x+ Hset-plot-y-range 0.0 ymax
Y! y+ O3 n. L. a. ]7 pend& V4 P" S ]8 x8 e/ t, H) Z
, g: u! t2 I, P1 ]8 Jto setup-plot2
6 s/ c* Q; z3 q
6 R3 j' X6 @! d+ E$ W4 V" yset-current-plot "Trends-of-global-reputation"4 l( y% G+ E/ S3 w2 J2 B5 _
' o+ K: A( B( H7 m; s O- Q% b& Yset-plot-x-range 0 xmax0 R/ ? L# f" n7 o) A
+ s* p/ X0 J: o1 F& M! j0 F
set-plot-y-range 0.0 ymax
3 Z8 Y7 y: ?9 u. a; ?. @end
! p0 o+ n& l2 d8 r& |! @ H1 |# ^5 m2 {! e
to setup-plot3
7 S$ h* x, }) z' b
* ?$ }1 M( G+ B; u6 o$ p$ yset-current-plot "Trends-of-credibility"8 ]; A s* T: Q, }; M
4 e1 h) L0 K7 Q/ |& w
set-plot-x-range 0 xmax
9 U* S' c* W% z& ]# B( f% t3 `4 I& d
! F& n' P* t5 D/ w5 ?" B% cset-plot-y-range 0.0 ymax0 N! e3 H( e5 s' \6 i
end
* [) t" c4 S1 a& r$ z; ?, J/ X D2 z/ q% z! u& |3 t: N
to do-plots
( o% M! i4 n% _% ~! s* ]& o7 ?+ Kset-current-plot "Trends-of-Local-reputation"# O; I% d' R0 e! i! G1 x" q
set-current-plot-pen "Honest service"3 L- m r. p0 V: ]
end4 T. X' ~! g/ k
& @) ^. v7 L& C# I7 y, Q. G
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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