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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
2 b$ m1 R- W: Z( D& F( M( Vglobals[
* C2 c2 n6 D6 t/ l, E; lxmax
: m% D. d3 I/ Z3 aymax. i) Q. N7 L8 r& D/ p! H
global-reputation-list
( m8 z$ r4 t8 {+ A
" x& ?; G# Z5 L& i, ^5 ]# J. n; V;;每一个turtle的全局声誉都存在此LIST中- k7 o( s$ }% x+ [" P
credibility-list& y7 f i/ P; Y- h3 W1 G4 r( \( t
;;每一个turtle的评价可信度
3 h: u$ e/ {) o& @5 ~, {8 G3 x8 ?: Thonest-service
$ \4 [8 N. W7 \% j1 dunhonest-service
: A: B. c; r3 Uoscillation/ b- P3 i2 s1 T% c! i. q' P
rand-dynamic
4 C) Q$ K0 ^/ ^1 `8 U: y]
. |0 d! E9 r+ T% `& ^' t7 `
$ Y4 `) E c4 W9 {: g/ M$ y% a0 Fturtles-own[& {9 x% k9 i, Y$ Y9 `
trade-record-all+ ?) e( y6 {# s* D
;;a list of lists,由trade-record-one组成
7 n/ U! @/ m1 V, B% j2 c; Mtrade-record-one
. S+ o$ z% e" {6 `# X [& ?0 @;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
; Y6 F) F3 s+ j9 Y3 h2 @5 m
% E# N/ j7 K0 @0 [1 ^- x;;[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]]# X" [/ H) h8 f: i2 Y! l4 i9 l
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]- T; e2 o& o; g0 K* z! e# C, H
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
- M3 L9 \; B: [% {+ c2 Ineighbor-total: s4 Y% W, Y! E$ {) r" D
;;记录该turtle的邻居节点的数目( C" ?+ Y7 H- s& y, T
trade-time
6 V4 x0 F& y% U+ M;;当前发生交易的turtle的交易时间
7 S$ P5 {& g' R% sappraise-give
* m# g& _: X4 U K5 K;;当前发生交易时给出的评价
5 x1 U( N5 M% x7 }( D6 g& [appraise-receive8 }5 _9 }8 v0 C0 B- |
;;当前发生交易时收到的评价$ G& K6 Z( c3 v9 e( D6 Q) v
appraise-time
4 Z/ f- `4 _" p+ K* f+ i3 Y& ~;;当前发生交易时的评价时间) a4 u" s( I. y) y/ c n
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
" Y6 z) Y: Y1 n: z2 p3 T/ Y% e4 ntrade-times-total! B7 @! s: r7 A+ Q# x
;;与当前turtle的交易总次数
+ S- c" g& W+ T, o0 Z: L0 {1 K# Qtrade-money-total
0 r7 E( F" @! Y0 o8 E9 g: f) v6 D;;与当前turtle的交易总金额/ {+ |& J! R- o6 T& ?" S; N' E
local-reputation
: W8 X6 ?0 v+ v0 I! Kglobal-reputation& k) q9 |6 u! x4 \2 ~4 {1 A& Y, S
credibility/ I: ]" q+ L1 p B. s
;;评价可信度,每次交易后都需要更新
! G- A5 A L' U7 O7 r# M. N" ]credibility-all0 R% A7 V" ~' X
;;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 e8 X) T4 P! G) w
9 T+ L; [) u) p% F. |! D
;;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) c: [0 G' O! c. }( r/ X: n- j
credibility-one
: W" p4 p. V: Q' @;;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 E6 H. N% X1 V) T; i/ C5 j0 k' }- D
global-proportion
! B0 N* x' \+ w8 @% J. f# icustomer- f- R* z# {2 {; y- U. z3 y5 P
customer-no
9 ?" y2 E: R8 |/ O4 M9 otrust-ok, l) N7 f3 u! r. L
trade-record-one-len;;trade-record-one的长度& i& J7 N2 g6 n4 P& v2 w! |
] n2 g+ ?1 Y/ m' x% N
! E) i5 M1 o* O4 |# O
;;setup procedure3 X& m/ k/ Q- g% {9 ] s
0 k! e2 K) l4 Oto setup( v% S, `/ \( R" U3 |, H: L" R
9 x% ?7 D! T, d& l' [8 c V7 uca
" E$ V7 Y2 u/ @ d$ |' X7 O4 z1 J" |5 o
initialize-settings t4 U. H( K# F2 T
* E4 |9 V9 z( ]+ x& l* Q9 D- I: Dcrt people [setup-turtles]+ S5 w' {+ s' V, [2 {2 T, g
& ~9 [) e5 A1 j( \# a$ Yreset-timer: e/ u( n1 N0 E1 @; x; V% w' f0 T
: E, U* w6 `) x' ]
poll-class8 u& T& a6 L( D# i9 u3 p0 W8 ?, m
F5 T6 o: ~# `& y8 @" }/ t' }9 }
setup-plots
2 n2 }$ m K. d9 ^5 ~ N
\. G1 L! q$ Edo-plots
C; r7 c7 I" r3 oend; R' D' p% i. l+ }$ c
3 j+ N& A- C" [- E& Bto initialize-settings4 M$ Q' m( w* v! a! Z" y) R
1 R% m" |$ u8 V( a; {0 n9 yset global-reputation-list []7 J/ g/ \" Q; k4 {( f: ]9 f" ]
: Z# t& g3 ~% i1 E) q( |# i9 _' H( |set credibility-list n-values people [0.5]
* e6 s$ G$ Q2 c! z, l+ g5 {, ^5 e7 q2 U
set honest-service 0
0 R( `2 a7 J, }* j5 ~, ?! J/ V7 [8 d
) {9 I! X2 c9 g: P1 X5 P0 q/ Yset unhonest-service 0. H( F2 i3 W0 b; }
. N* o$ L- N+ U8 q6 Y* q# l8 xset oscillation 00 w: q2 ^. @3 x5 A' Y& d
7 l0 C+ A7 C: ^/ O/ v" v2 Sset rand-dynamic 0
" D1 z7 N6 {4 Q- Tend# \, a& ?) _( N! T
! f3 p* \, N! J( p! d2 uto setup-turtles
- ^9 R+ M1 e; v# f7 R, n5 ^9 r u) Qset shape "person"
* ^; Z" w# C# [setxy random-xcor random-ycor3 P+ K# M7 b* N, R3 K
set trade-record-one []* G9 [' b) R$ }3 f2 z* S3 e
2 U7 W& r; i; W# E z2 M& Gset trade-record-all n-values people [(list (? + 1) 0 0)] : a8 i9 \5 X7 k- R
1 u, G- Q( N7 F1 b3 yset trade-record-current []
3 q0 T! A9 T# ^) @$ @! `# gset credibility-receive []
9 B+ L6 o( x3 q4 Oset local-reputation 0.5
6 n' \0 c0 n. t) {. _set neighbor-total 0
2 `5 i! d4 }0 ], e$ N- T2 Nset trade-times-total 0
4 v5 T. }; I$ K6 k8 l8 Hset trade-money-total 0
: x; r+ Y9 m4 e$ q1 xset customer nobody* ~1 `0 ]9 [! q* F& n% K! j8 h9 @
set credibility-all n-values people [creat-credibility]
) U* e6 C0 O6 E9 b! |set credibility n-values people [-1]
2 t }" G: H6 M# M/ tget-color4 N% n6 T. P$ @% `& y# |
" v: Z. D# [, }; e9 Z O
end: f2 r* a" o" f6 |' A q
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to-report creat-credibility5 C* Y6 J5 `9 k6 K
report n-values people [0.5]& {& Q5 @. Q7 D$ j1 W' z
end
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to setup-plots) T* H6 C& ~* f; v2 I
1 y' \+ f: X% zset xmax 30. S" G ?& i+ ~( I' L X
+ r# X, u3 A5 L4 c) G/ p6 l$ r6 r
set ymax 1.03 N9 g! }% i) n8 |
' ~3 p; }2 t$ N0 p( b$ N, Rclear-all-plots
' s4 l) F/ T9 z" V5 R3 P/ M) Z* E6 @' ]! r$ b: A) _, L9 u! L
setup-plot1& n9 {1 b! i7 m
! m4 R# y2 W; V7 X: {setup-plot2. N5 P6 K7 I* b4 l: r7 P E7 Y
) p* c' J; E! c4 p+ Y: ` lsetup-plot3+ e8 ^. m/ O+ P( y8 c% P2 m! }
end( ~' t3 k8 C' S3 z5 d
o: y/ A9 }2 I, |% h6 g
;;run time procedures
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to go' r3 O+ W5 a' g2 v o
7 U8 M; T4 C2 `6 h, G7 _: pask turtles [do-business]
$ c! I+ S5 w, ]# N) c. Bend/ H8 E' i3 p0 \/ e+ A9 m, D9 Z" C
: ^4 K- k8 v8 P! i
to do-business 5 s: y' _4 E* c6 W/ N/ \
& e# a4 H1 ?$ E# q" F6 s
; K+ m6 q7 e! e. | `
rt random 3602 g k, p2 t' H% O" H% f
1 i% O" U2 G! r# i# l/ _3 qfd 1; T n( E1 S/ D, r
0 h! r$ V2 n" @/ Hifelse(other turtles-here != nobody)[& o( E4 U% k" g1 h+ @' w
' J5 t" A& f7 l% i! D% `
set customer one-of other turtles-here
- o) T' a- I- w! y: Y; V \$ O; n) o6 K. o( h4 Q8 |2 |
;; set [customer] of customer myself/ T; J/ T; j% Z9 u
' f) n2 c# ?. |) |* e
set [trade-record-one] of self item (([who] of customer) - 1)
* B! J' n0 k4 a[trade-record-all]of self
) z- u$ @4 A% b% [& k/ F;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
* O Q+ t: I2 O% ^, c. L2 j
5 n* ~6 ^. Y, ^, Iset [trade-record-one] of customer item (([who] of self) - 1)/ z- T) N# X% }
[trade-record-all]of customer& N7 Q2 _+ |8 D8 A9 ?9 @3 l
# E; A* v! D4 \" C# t1 T( V& |! x$ c) R
set [trade-record-one-len] of self length [trade-record-one] of self! ]( Q. \) s; u! k. j
6 S( [5 n& ~& ]7 M
set trade-record-current( list (timer) (random money-upper-limit))
! [3 V) W* r# b+ D1 b6 Y% g/ h$ x: H9 \1 j9 s4 k- d }- K
ask self [do-trust]) {0 T9 M; X8 T# n
;;先求i对j的信任度. E* a6 \' ^$ l! N
/ n- ~- J# |( \- v" c
if ([trust-ok] of self)
' u4 Q" x1 Z3 q;;根据i对j的信任度来决定是否与j进行交易[
; l. Y, P" m# s( N5 ]) k+ Aask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
0 `/ I- r! [: D0 q7 {
9 h: g8 ]) O' u, j+ s[" f, J2 S( K8 W% G0 l
* X8 ?, l0 v1 J" xdo-trade
$ N* W! e+ d" t6 d9 ^8 F" O% q7 `3 @
7 G& C" ^/ b3 ]# Xupdate-credibility-ijl
1 {" x! p) O& n* }$ r) |4 E' j, K3 b- F8 Y, _& a! A
update-credibility-list1 o! z( g- c$ b% z
$ \) C3 r0 H5 W7 H
$ r: X9 s. I9 G3 T4 L' e1 h
update-global-reputation-list" e. R% W. K1 s( G/ ?
$ `* w5 a6 s2 Q' E! n2 {6 [# [- mpoll-class$ n# h; u' _/ K0 e/ K6 w9 l2 v6 P
1 B( e0 h- |# R/ x) d$ K1 s+ bget-color, ]; N F; h8 c
2 `3 N4 O' p5 O
]]
* u! F: h# H2 [8 ]( _8 t2 _. D- }- g/ V* t
;;如果所得的信任度满足条件,则进行交易- G" h+ A _& C9 h2 k
' E1 \8 B% E# q% K8 i: I
[% Z7 u9 L6 E+ U
5 F' c; N% X" ~; mrt random 360
; |5 f( g2 M. C$ U$ l x$ c6 y7 r0 S. R
fd 1$ _$ _) m$ I/ j
1 [( e9 ~5 s# V5 C! J9 Q: T6 T
]
0 X& u; e- I P' A: \+ K5 g5 F) k2 { W
end2 ~* E2 v6 F1 j2 w
% }/ A. ?/ g$ Q, [
to do-trust
" C% b* y8 a1 }5 j! C" e( ^7 ~1 h8 C; Rset trust-ok False* x1 ^4 o4 {, ~& F1 @8 l
7 P0 d C, i9 D5 h" i
# N( B& q" t n/ x3 I
let max-trade-times 0
! K! Q: w0 D: c' @& gforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
: X- A5 q. I( t) flet max-trade-money 0) r. f" @- s5 \/ m
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
% u; {+ G3 N. B/ {( o% glet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
& c( ]- G+ ^$ P7 n) d2 G" {8 U3 S1 M7 ]8 i
) P' a: t, {+ a7 ?0 c( E" _1 C' _$ zget-global-proportion
P0 a2 Q$ ^9 i9 k2 U( flet trust-value) \' _ y6 L6 t
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)4 T" L8 _$ V2 n+ K$ ]
if(trust-value > trade-trust-value)7 a7 J1 S: j5 w
[set trust-ok true]$ v* L$ @3 B, X& |5 ^' y5 ]
end
1 u- m/ u1 ]6 S, c$ k1 x! k1 n: b$ l" D. S7 S7 C. f$ l# I
to get-global-proportion. w4 I$ h) ~1 j d9 H! r
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
. x- W: y) {# [9 ~, O[set global-proportion 0]4 y" t# M- z* r; \
[let i 0: [1 G1 ?4 \8 ? Y9 G& z! n
let sum-money 0
( Z: }6 X z9 Iwhile[ i < people]
+ T) w. B1 T7 S; s! {7 }8 l y5 {& m[( j. u% C) W$ _
if( length (item i9 O- _( S) Z: b
[trade-record-all] of customer) > 3 )6 a% @) r6 t* M+ c1 S# d/ G
[( b2 s4 b0 b) Y+ `7 f8 k
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
e3 {5 e7 @; t/ Q+ I* M4 O]8 @. D2 k) T. E0 |1 ^8 k
]
0 g3 R" J) H1 I1 G- Q* o/ v0 vlet j 0% Y2 Q X* m7 Q% f+ W7 \/ ~
let note 0
& {, @2 S; y N, S8 N3 ~: Swhile[ j < people]
/ D9 ?) w1 w& ^7 h[1 Q1 |) T: ~( v$ a, _
if( length (item i
# X) E3 \6 A$ F9 }% O6 `" U( d[trade-record-all] of customer) > 3 )# K, ^7 r" ]! I! x& l0 n" |
[
+ |9 G' z8 I7 c" p# @$ sifelse(item ([who]of myself - 1) [credibility] of turtle j != -1) e1 {0 ^3 d8 \
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
: j8 q! o. x$ d6 F$ ~7 J, D3 j[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]& U& q1 V b# F2 y- [
]8 q7 b8 V; S1 l |) A2 i' `
]/ E4 d$ g3 _& o. Y
set global-proportion note: c w; Z/ z, W2 H7 ~5 g
]5 V2 R; r( u( x% Y5 X' \! k$ M
end
2 T2 v& _/ c+ H6 y
0 f I! l5 _; H R- s) U. rto do-trade
/ h5 r4 i* y' Z;;这个过程实际上是给双方作出评价的过程( C0 ^, v0 k# @3 }0 [# Q
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
m: D9 e5 Y9 [% H4 X% J4 B1 pset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价* S+ z/ |9 a& X7 p
set trade-record-current lput(timer) trade-record-current) [1 l7 d4 D7 }+ G- {7 o$ i2 S
;;评价时间
- `1 o0 l! m, V) U# M( w" N( rask myself [
4 b# r' I- U0 c5 }3 P8 wupdate-local-reputation
2 {# E/ X% \ e* T, c/ z1 o1 j3 Cset trade-record-current lput([local-reputation] of myself) trade-record-current
2 E2 o6 z+ b! R) [1 N; k]& B8 v2 u5 X% _6 T
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself# {! B4 n, \3 ^+ C# `1 _2 M
;;将此次交易的记录加入到trade-record-one中
G+ o9 Q. O: c1 E& J6 U0 nset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
! A2 d* ~* m' l* Plet note (item 2 trade-record-current )% h( l9 M0 M; C& D, }
set trade-record-current+ y" P6 J( q2 s3 F0 q# l
(replace-item 2 trade-record-current (item 3 trade-record-current)); o$ x: W* ]! V
set trade-record-current
6 M5 T& f3 s+ [: C(replace-item 3 trade-record-current note)
( P7 d# _. d5 h9 E! K: d# Z- r$ ]' H" k" r3 _, y' V! F" j
- V, ?, J; Q3 \1 lask customer [ G7 @) _6 ?9 `) [& m- G; h
update-local-reputation
4 M( o( |: T/ ^5 Q1 L9 b0 _8 p, wset trade-record-current
# C; N6 q" A0 }(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) + a, ^; l2 Q6 j' ^; _
]
3 ?1 g/ b+ J- u1 w3 m2 Q/ U7 l) o4 v- ]7 ~3 |4 }
+ I, x4 M! T) f0 W" S4 {
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
' L7 k. e. g, c# j6 w" g L# d+ T7 K" O& ]: T
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
( v- E: o1 U5 O, N) P. B;;将此次交易的记录加入到customer的trade-record-all中& V, k" g! n/ F3 p4 A7 f p1 b
end) S. }: P x$ ?, O) j) s- ^. P6 j
" v @5 M" B' J7 t9 m1 mto update-local-reputation
" @; _7 H0 \5 x1 _set [trade-record-one-len] of myself length [trade-record-one] of myself
# x" m' a0 l1 a% R& I* F l' Y- ^& \* q
# f" G' E) E( M+ K0 Y;;if [trade-record-one-len] of myself > 3 ! x% b* Y* m# p' L
update-neighbor-total1 h" D( |: Y# D
;;更新邻居节点的数目,在此进行
: }( j) g$ Q8 X6 ilet i 30 |( K2 v8 r m, l! L& |" x. e! C
let sum-time 0
% \' V1 E5 o1 Z, o. _! y# `# Mwhile[i < [trade-record-one-len] of myself]
@1 Z1 u& m3 |5 ~8 i& }[
% v( |5 K. W: E6 F+ P# r: Aset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )3 T4 D; G9 m9 V5 y3 _
set i( L6 ~. l% W' c h" Y) ?3 L7 ]
( i + 1)
. @7 e+ a9 Y6 \* Z( h]
+ g# ]3 b% A2 D& x; alet j 3
1 T1 X, b( ]) \) @4 ^let sum-money 0
5 I3 P' I5 r6 ]2 S" p0 w! @while[j < [trade-record-one-len] of myself]2 J" D; l& ^" ?; ^* Y# j4 M2 f
[
# |# g$ b1 |5 V' e0 Xset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)( [9 {+ o g1 _! t" o
set j
) G( o# x* [6 }3 c3 @0 I/ `8 z( p( j + 1)9 O4 u* D- ^3 W2 T& x' ^. u# }
]
5 o" r. z4 i; r, d2 Flet k 3
6 Y7 e! ~$ S" G: \5 Q) [% W) J6 `% C r; Qlet power 0
/ X! W* U7 R" blet local 0
- C6 k+ I, Q0 `6 ]5 b |while [k <[trade-record-one-len] of myself]3 M" a& h5 E& l4 `* \- F# y1 v
[* D! M; s8 L: ]' \- l0 }% `2 v' W
set 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) 9 V8 _3 Z6 {( X0 ^, E
set k (k + 1)
& z, m) \7 u; e/ Q5 s! e; o]) l2 a- b3 O; l$ Y8 O0 G0 w
set [local-reputation] of myself (local)
8 \2 R; A3 W" `end# T) d9 G' u% v9 \, X# R
- J, s ?( `/ C% c' Uto update-neighbor-total
* f8 |0 O: ~( S: b
8 T/ |2 t6 I! W/ I) D. Kif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]. E. }) r1 L1 U8 _& ~
' B- ]9 @2 U7 m8 k$ a/ S- C
; H" x6 |$ m& q0 H& h/ nend0 F! g" }& Y# G/ j- }* _1 ?4 Q: C
6 Z s- t/ j' V! r, |4 Gto update-credibility-ijl % R- Q! a. F7 F, j$ J
. r7 ]: }3 f8 x;;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。9 o9 |+ y! D3 ]( P
let l 0
3 m+ t+ C1 X$ p% mwhile[ l < people ]
- O* K: U* C; }: {2 l2 d$ ~;;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
. E0 M6 F% ?8 S- _" v[
, T1 j" y& v2 F" Glet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
( } N, }: N/ p2 B6 Mif (trade-record-one-j-l-len > 3)' l5 Z, H1 T* d* t6 r' ]3 W" P
[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$ g+ ~. L- [# G! U, Z
let i 3; E3 f Y! ~9 Z" x2 d% o. n
let sum-time 0
0 h" m- ^( z# P$ Q+ ^2 @$ R' M, Jwhile[i < trade-record-one-len]# V! V7 f }5 o
[
_. w) R) ], c1 D: c- w; Jset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
4 H8 m$ x/ x, }, t9 {( pset i
$ G6 I7 L: y- w! h) Y D) Y. \3 _( i + 1)6 e/ J& G+ U) K; N) e
]
: ~( S/ V$ C2 R; \- X8 W4 Ilet credibility-i-j-l 0
2 ]( Q: `; M/ d;;i评价(j对jl的评价) _7 a0 p$ J' L1 M
let j 34 L6 G- B7 @# m" Z3 z: Y
let k 44 w- l( q4 v% p0 J/ r
while[j < trade-record-one-len]
8 c8 n M o4 P( ~1 O) x, B/ V[
- m5 B7 Z2 h7 k" pwhile [((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( W. |' Y& A* j+ p! m" H O7 M
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)
1 W- ]3 ?3 w) D/ E0 o+ s% Y# \set j) |$ q6 G7 }% Z5 D6 |+ K& Y
( j + 1)
# D, U% ^% E: L, S]
1 }5 A* B j. a9 p& mset [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 ))
4 z, K9 H5 Y' L3 M
, Z" B7 ]/ L# o- M5 m' f6 @- }* S) A
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
; L1 L# B0 r( s$ Z;;及时更新i对l的评价质量的评价
2 t" k9 z9 N' Tset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
( i9 ~$ c; A, z# B) p* N7 C6 aset l (l + 1)% h- X' G0 }) c# v
]
. A- L# e/ k. B' Z* Q: U; C' }* r; rend
6 s& B; w, S- @0 a0 e2 H9 t2 B& K& ]1 q, ?7 E
to update-credibility-list
7 a4 k5 \2 D6 Z8 f9 `8 U, \! o3 o& Xlet i 0: O# s# t, V- Z: N3 i5 V
while[i < people]
6 i6 N8 J. Y7 _" f5 c7 X# _[+ W7 o3 B1 b6 U5 D# g) I) E
let j 0, y( \: ^1 Q9 v: j3 U2 r1 P
let note 0
" S- o6 r' d6 Llet k 0
5 H- I1 D7 Z. y6 _( Y" P2 [" Q;;计作出过评价的邻居节点的数目- V/ F% k2 w; e( d- C4 b
while[j < people]/ |+ a) T3 ~0 a" F+ ^" H; {" I x
[
2 d: K+ e" `$ f; T5 dif (item j( [credibility] of turtle (i + 1)) != -1)
% G9 ?2 ]9 f& l9 }1 ?9 q6 K9 w5 t2 Y;;判断是否给本turtle的评价质量做出过评价的节点# B) U; m' d% m$ @8 {* |
[set note (note + item j ([credibility]of turtle (i + 1)))
: Y, `4 P6 p# a: J( w9 s7 B;;*(exp (-(people - 2)))/(people - 2))], K) J2 L% D% Z* ~; Q% x- q: V1 y
set k (k + 1)
- K4 @! g: V) {]
$ k5 _7 S8 Z# W" z; N4 Gset j (j + 1)' r* T7 z. y" U. G
]
$ z w9 y! t6 t5 q- a; Fset note (note *(exp (- (1 / k)))/ k)
# \) j' w2 o& f& Z: m7 oset credibility-list (replace-item i credibility-list note)( L8 F4 _, ?+ y& X) p
set i (i + 1)
0 u* |: C8 o$ q]
0 q1 P6 }/ ~- Y: M6 @+ ?( Dend
) t- q0 C& {" ]1 Q T; s! p* L4 \3 z4 ~! }" R
to update-global-reputation-list9 c% G/ @# [, J+ h7 z9 w% P
let j 0 R" w) o" d( u( u. d9 {3 z
while[j < people]
; u, }2 ]- V. y5 o% K! Y- s( V8 W[
_' a& }8 @' ?# |let new 0/ R' ?1 }3 t# Q2 X/ c3 d" ~
;;暂存新的一个全局声誉7 T+ w( ^5 E( ]& [3 b; c
let i 0; c: J' F) X9 p1 F: j' I
let sum-money 0, h# l a) T8 M- ~
let credibility-money 0" l& A, X' z7 A
while [i < people]9 R! T r/ {/ t: s, }' i1 M, u O
[6 m M" d5 V4 m/ g0 A" y
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
+ Z* `. p, |! c5 [1 _1 T0 k/ qset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
- p- {; i0 f7 B; O( i- J/ m+ e' eset i (i + 1)" i' ~$ L' \ e9 F4 {4 S
]
" I$ t ^) w; L4 R/ V$ rlet k 0
7 V- g2 X/ V! `! M7 `let new1 0
6 h) e4 z1 W# W" Zwhile [k < people]6 o- I/ y# `/ d/ Z
[0 h$ r- o, V& D3 u( O$ W
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)9 W, N" }- }" _% X
set k (k + 1)1 v1 E" a3 g; {3 Y. r
]
: u. E( V- R {2 I @; ]9 P( d" C# qset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
8 q& g8 x! {# vset global-reputation-list (replace-item j global-reputation-list new)) q, B7 i- ?/ f$ a N4 S7 b; k
set j (j + 1)& z: ?5 n9 A( E, {5 S l T7 H/ s7 l
]" d* |, `5 f3 M" ^$ {5 F
end O! w0 s& d3 C4 ]/ I7 y3 g0 h
7 N* N1 M# p$ P, C1 d! r; C$ \
. [; ]9 [7 [5 r1 C+ j1 U
; b: g% G: Z% J v7 W) pto get-color8 n3 O3 ]3 f% U; G
' z9 e T" K$ J" Iset color blue
/ z0 Z/ c. ^7 f* ] f0 vend
" a2 u }* M7 l5 Y3 b+ d
T& K Q% b) X" Ato poll-class6 E+ h/ T; I9 @; E( P b3 q
end
) o/ t9 Y6 i- r: ]) x9 t1 o3 Z/ i8 m& H- x9 W% K
to setup-plot1' t1 T6 W( u8 ]+ j
, O$ M) `# I1 l( N+ q. s! h0 {set-current-plot "Trends-of-Local-reputation"- [/ v+ j3 {1 T0 h
# f5 ~6 k5 _- v7 E. @" Bset-plot-x-range 0 xmax; s8 b* N: y. a) J& y, x" T
3 M3 Z, [# \2 a8 f! Y D2 P9 G& qset-plot-y-range 0.0 ymax
0 R4 {/ Q/ I( F# q0 f" c! v9 [- qend
9 D8 e/ _. v _- v! M4 [2 E! N% `
3 f( t' r m$ e" o) E9 fto setup-plot2
8 U+ ]6 Z8 w" @0 e
+ p: {- s, h; [3 Dset-current-plot "Trends-of-global-reputation"3 j6 Q1 A0 m* t; d% o9 z) {
7 a2 a+ _; U; e f3 L
set-plot-x-range 0 xmax* c3 N% F! x1 q
' C% F0 p r5 j9 ~: W* D
set-plot-y-range 0.0 ymax
9 b+ U1 ]* z, \end
- F& U9 h# i5 B/ N1 i4 I; n) o- W. f, S4 Z6 S
to setup-plot3
$ X- Y$ c I9 ^ {3 G3 `( ^7 [! M) c! z3 D. ?2 t, C( ?
set-current-plot "Trends-of-credibility"* S( e. m$ Q1 |9 g
9 p& K K' }$ ~7 ~+ T- Jset-plot-x-range 0 xmax1 c4 T8 O0 k4 N
) D. D* e/ ?8 Z+ J5 g
set-plot-y-range 0.0 ymax7 J; `7 y3 t; R+ d9 @8 j
end# P' ]. k. y( `5 C+ _: G
# X+ I1 A* O6 ~7 o" T
to do-plots! Y. v8 m$ |) w! u6 b; ?, H; @' V) U2 W
set-current-plot "Trends-of-Local-reputation"
! x9 d8 A3 x, K- K) cset-current-plot-pen "Honest service"
: x4 ]- U* E7 s) Zend( j& z2 y3 L& {% u0 K' `
: m5 I+ K1 O( S
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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