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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 k& P' Y: y9 |
globals[* b/ s( v/ v* \$ n3 H% F1 w" B
xmax0 w6 i. F$ n* z+ a, u
ymax( [5 s! V! K/ ?: G6 X, `
global-reputation-list
$ Y5 J& _4 ^: N5 m: J
0 N) M1 x# C7 e7 ]% n' N6 C9 _;;每一个turtle的全局声誉都存在此LIST中& [4 L8 \$ B- P( a. J% \' ~
credibility-list5 W8 O9 u4 u( [/ `
;;每一个turtle的评价可信度5 S0 T; U$ ]* a3 j
honest-service
7 B" ?9 z' c, s( z* F4 Zunhonest-service& n& \; {' U. I. n4 j6 ~
oscillation% L: p1 N6 @) G A8 E
rand-dynamic8 a A+ Q2 g8 T* j: Y* b
]
+ @4 S- ]: v& c" P& Y9 l
1 l, q( g6 _5 i2 y% U# |( G# B# C! o( bturtles-own[
$ h0 w# r! c/ c/ L& X& ftrade-record-all3 e. h# @0 J* L) p
;;a list of lists,由trade-record-one组成
5 \% L: E/ i" F3 _trade-record-one4 F7 k) _! J/ N( j- k5 c
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录- X9 s4 L. g" B- d1 d* D( s
3 s2 E% `3 F* Y* E% E+ h5 P
;;[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]] R. x1 X2 G' S3 D( Y4 }1 j
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]' g) L6 ]0 `0 K- Q: a3 u) x
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
8 k0 [- f) p% N& g4 Dneighbor-total
t5 J% E, ?0 b;;记录该turtle的邻居节点的数目
! V) f9 Y- h9 [0 _' a; ntrade-time
" u9 y1 Q( K8 }( f2 p: ~, [1 f/ V, j;;当前发生交易的turtle的交易时间0 a0 A8 D& ~: H( V8 {) b
appraise-give
6 T6 F A {; Q! l s;;当前发生交易时给出的评价
& q& Z3 Y; P2 T+ B' a* tappraise-receive* U0 ~$ o! h8 g/ c8 n- k
;;当前发生交易时收到的评价
0 q% D! v7 t% X X, ^- |# Pappraise-time
1 I. V5 }* Z2 D7 S0 d; V;;当前发生交易时的评价时间4 R: y1 y6 Z4 N+ E& Z
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
6 ^/ u9 N) `1 p7 g0 E mtrade-times-total$ ^* e; j) z- h/ w
;;与当前turtle的交易总次数
. @, i" x' {" Z6 K" a. c7 ~$ {- r' otrade-money-total
4 W: T e# [/ ~, c# O- n;;与当前turtle的交易总金额! ?( {! A: _) W8 t' l" B
local-reputation
" r- g' X v% @global-reputation
& g! {& R k0 S0 vcredibility o# F4 r2 G( Y$ U9 U/ }3 s
;;评价可信度,每次交易后都需要更新3 R6 R3 S: P; j5 K: E
credibility-all( q! M A2 g& O- l" @0 b
;;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4 g$ l( u' L4 n+ E4 A% R
9 \6 i8 X" i8 C2 b. Y" h# M- y;;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
4 c- f8 O8 M" n. R0 hcredibility-one# x2 [' C2 u( v5 E1 ^
;;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
9 {% C+ n% X- |1 y5 Uglobal-proportion# S5 t& A& E; m" g# w1 } c
customer$ Q( f2 r! M/ F1 M: X
customer-no+ F9 C( j [- q2 l
trust-ok3 o2 j9 ~8 H7 O( ?& W0 y/ K2 T- Q$ N
trade-record-one-len;;trade-record-one的长度, t6 S8 x. Z) m" N. @
]
- T/ g8 F/ P& |8 k" H* A: z
' p0 ^" C$ j; ]8 K. c; Z;;setup procedure
- `% H* {+ [6 G# j" |/ ^* L, V; f2 C2 R B; R
to setup+ G( k9 K8 ]5 c& s
I9 j5 c/ ~' e" |7 M/ i3 H' r- Ica
9 R3 ~6 z) M3 i# E; L
2 q" R9 x- ^% I Rinitialize-settings$ d+ }6 P1 ]+ G$ a4 t2 z
7 d, |& l$ A5 G% M
crt people [setup-turtles]& z8 s/ G, r, }8 i; g" A4 {
8 n/ S1 H' ?9 z1 u9 R; A) p0 yreset-timer
- ? h* G7 j9 U, B/ c2 c# f z5 S; j7 z" Z4 k/ f+ B/ X( s
poll-class3 N# F% L% j2 s2 | u
' g, q# N+ U8 }, G' d
setup-plots
. P) i2 ?& A7 Y0 I; z- E/ X( G' H2 Q; _! d# \0 L# g2 r. f
do-plots: `2 B4 j: }% B/ J
end
! t% N& n& ?% Z, o
0 O1 n9 p4 V# s5 o4 c; e5 Eto initialize-settings, G% v- V0 P3 y: D4 Y/ M: ?3 B1 }
6 \0 W \% x3 R9 \) F% V
set global-reputation-list []
8 i. a8 U$ J% I' f3 T6 I
) E. ?& w% O- H: r4 kset credibility-list n-values people [0.5]
e( h1 X3 g7 F# a) ?- U( P( d7 N; E4 h5 s
set honest-service 03 ^6 z, [; S+ N8 [" V
( |/ h, M" t1 Z& p' n" \$ R: Z
set unhonest-service 0; h6 W9 q6 d/ T% g. w
. q A6 O2 L9 ~. V
set oscillation 06 f% i; ~9 m( N3 C" d, U
3 @( @3 _" g: g) ~; h
set rand-dynamic 0
$ g# X7 Q. L0 \' A( V0 ]end
7 o- {( D; d) l
`# i$ k7 e4 L! @to setup-turtles 8 M, ^5 Q3 L% F( Y2 H
set shape "person"
1 t; a# b: f/ V6 m- ^setxy random-xcor random-ycor
" o" n3 c3 y2 c: }6 P( vset trade-record-one []
4 a; F- v+ ~& W2 U, n w4 u$ E
3 w/ m1 j7 s0 b- x" F' vset trade-record-all n-values people [(list (? + 1) 0 0)] 5 i) ^! z7 _5 j( x5 C Z8 \
( S2 k$ o4 B/ `' S
set trade-record-current []
f4 y o1 q- w; v5 mset credibility-receive []0 D& s/ h" p7 Q0 x3 D& u
set local-reputation 0.5
w8 A/ c1 I* e4 O! m( iset neighbor-total 0: Z4 u6 p; w6 [5 H( g9 h9 d/ z' g6 \
set trade-times-total 0
. O- M3 M+ @4 t+ _set trade-money-total 0
% ~) H) [& d5 R" |2 r, m' u( _set customer nobody. u) H8 Y" h6 M* \; w* U
set credibility-all n-values people [creat-credibility]0 i* V9 F9 f+ B8 r6 T( H
set credibility n-values people [-1]
$ u0 R' [* `, d' X8 d; R) o- Y) V' \get-color
. Z: O X" G# F0 T! c# R# d
, L* A8 v# b: h) r8 _4 fend6 n9 [ e$ L9 C
! }+ z7 A( a" ?+ A8 t a0 [% D4 ^to-report creat-credibility
$ j( `$ F& g) K0 J! [1 F( N% Qreport n-values people [0.5]
- M3 u2 t1 G# ?1 k9 `! rend7 q2 r2 ?$ z3 y( c9 W% A
$ o0 `7 g0 S$ W* U. b$ D
to setup-plots. Q p; {9 i% w; ^4 O, v/ ?- J
+ @: s! a, t' W0 B8 o- `+ Vset xmax 30
) S5 A, |/ f" {, Y" T) v8 C1 ~* h3 k5 b- ] M
set ymax 1.0
% ~: a6 x9 g8 ~% ]
: c* K0 [& b0 t* w, t4 Wclear-all-plots
6 V' v$ ]+ a# ^: U2 B
: o& _( J, d8 T) `setup-plot1
2 Y0 u* H' N* H- n% F; Y Z
$ B8 }% k' N* M* [3 N$ Dsetup-plot2
- |0 u& O2 J9 ]
, e7 q( f" n" u/ ]# osetup-plot3! | q& x% u( R4 ?' p
end! V; O4 t3 ?- F. O U+ U4 c+ _
' Q: M& B$ T& J- X
;;run time procedures
6 }) m u1 J! a! `+ a" r
& {* T9 `$ F2 B( g0 tto go
) W- ]* X, _) Y3 p" _7 Q) d# @. n! H0 t. j: R1 F E1 w
ask turtles [do-business]6 e0 V9 |) k* S
end
2 U- A* q5 i5 H. J
1 m* t. V5 p' V7 J6 K0 U2 H8 Eto do-business ( d$ c m- B5 F3 O z
$ P; w# z" ^( w
, f) T+ d, c5 t' Q1 J4 wrt random 3605 U; l: ?% B9 H
1 h- Z( w: p Z1 u
fd 1
3 J0 T! M/ w" _/ K. m
* I" Z* }9 r( V3 Zifelse(other turtles-here != nobody)[
J K' _7 x% ]7 w4 V0 r% W
: S, A2 J# ?4 K8 y% X2 ?6 pset customer one-of other turtles-here
3 u* e$ F7 `5 S4 H; E C! r. L1 `( p! T% m5 @
;; set [customer] of customer myself2 o+ g% C" [" }! ? t
6 }% z, M$ u2 j3 f# [, k, _3 iset [trade-record-one] of self item (([who] of customer) - 1)
: k0 K7 L$ ]" Z |$ y! q[trade-record-all]of self
) r8 `- L' w5 ]. g# V; `9 f;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
9 ~8 F. T9 t/ ~( k% ~/ A2 w" p1 ], F5 o/ B7 ?
set [trade-record-one] of customer item (([who] of self) - 1)
i4 ~, l \. Z3 i! p/ W2 i. I% t! M[trade-record-all]of customer
" _9 }0 P1 D g5 l- h1 x9 S ~& A: j- ^4 Y3 f4 d
set [trade-record-one-len] of self length [trade-record-one] of self3 G b5 N: \! W9 j `. \) T/ t4 b
% K/ s; x* U- Iset trade-record-current( list (timer) (random money-upper-limit))3 f- d5 T$ _+ t/ N: \1 `- c- T F6 `
+ z: N& @* r! Z B5 R6 i2 G% K
ask self [do-trust]
6 q ` C8 `9 a- V;;先求i对j的信任度+ ]/ L. }( u' E1 f, |; E
" w* o+ \# J/ A
if ([trust-ok] of self)5 x1 M- N4 _% \4 ~8 H2 g* H: o
;;根据i对j的信任度来决定是否与j进行交易[3 ?# X7 @% r" j9 `/ t% s
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
8 B' }+ P m+ ]8 h! Q1 M9 |( [7 V% z5 y6 Y1 B& v
[" j" Z" b' G- M# }! R
7 |$ q1 {" K- [, T; i
do-trade
+ t4 ~0 K2 V d# S4 H& b3 ?7 W% b4 w* U" t
update-credibility-ijl
6 w: X8 K4 Y; d1 a/ E
$ e5 m. g1 C. c2 w- |. M+ V- w2 Supdate-credibility-list
" y6 p' m3 H2 S& k, w: ~. C$ ~! w- n8 q3 M3 x Y
& N- j/ L& z( d8 O- \& ^, Wupdate-global-reputation-list9 W: G, L& X$ L! f# e; ^
$ B6 @+ f) V& J& ?+ d- n" t% `
poll-class# W8 ?0 f; j8 ~( R
. k. }/ i% E# o) L5 e2 T
get-color, g, K* ~) [" L, {0 a! w
. s$ ]" @# F5 \; M+ B8 f
]]4 v }) k8 p9 @5 ]
. ~2 E8 C: v) d0 H' _9 j8 o& C;;如果所得的信任度满足条件,则进行交易
+ i, U s+ W1 a% Y; f/ ^4 V/ g4 P( l \* w" h5 e: X6 A) P# ~1 s
[' M' w5 L r/ S" G8 y
8 w% l, S$ N: [, [
rt random 360
0 C7 d9 W( X+ Z7 x( N% ?' @# ~5 \) u8 a3 W e7 V
fd 1
m! t5 A) W5 `1 W* L* x
`& q! X( |. g2 x9 ?) u]4 f0 X: n( c) l
% _3 ?/ D$ F" g/ [7 O% H) s ]" ]end3 b1 t5 b. C2 `- K% D' G6 n% E
. G; B' {$ o: i9 g2 v! E
to do-trust $ W9 l6 d1 O2 V" M; W# e6 E( J
set trust-ok False0 E0 ~# h* d# G: c, _6 j2 b0 l
# O2 R$ m7 B( S/ ?/ o! Z
N$ x c. U' z1 m" t* D
let max-trade-times 0- a1 v) c _/ N- ~
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
1 x- E: M; ^* h+ C2 J$ Glet max-trade-money 08 G, B' j: a2 z& H5 ~7 w
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
+ Z6 c0 b! Y+ g! C3 d% A$ Ylet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
0 x, C1 s0 \8 v6 [
4 e5 @; [1 h+ c
1 h, g( f8 C4 }# W2 o5 \get-global-proportion. u/ e4 ?6 `! Y% t3 _/ e& W
let trust-value
% ^, w0 X: o# A. V# a- k; x, blocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)2 e) b8 d: ~& S9 Z! h1 X
if(trust-value > trade-trust-value), |' G V8 ^1 V
[set trust-ok true]
8 x ?6 E4 H# v& uend. E) C- u" T. W
. |/ {* L8 e K# \8 z' T# gto get-global-proportion( k! S/ K8 z8 v
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
9 V- C2 \, r& O' ?1 [" m1 f7 \[set global-proportion 0]
, t. N" i2 d0 M( c[let i 0: B4 ^) O- v$ F. g
let sum-money 05 ^, B' K$ B' ^" L) l% m
while[ i < people]
/ C; r! j9 D E! P[# Q. c! O' M1 M' S* H2 i
if( length (item i
; ?: ]. D1 }- ^ f! ?, @+ f# A% e[trade-record-all] of customer) > 3 )" |& k8 a" @9 V( i9 p' g
[3 c1 H8 a3 W {9 h, ^
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
. N9 M+ f9 {+ ^ G]
; ^3 C t6 l$ `$ ]]3 G& `8 @! w5 y j8 Y4 B
let j 06 `/ d- R$ o% I! u
let note 0
# ^$ I8 R/ j8 k3 x5 r' S; ^# iwhile[ j < people]) x4 G7 t2 q1 C2 g
[
3 _# |- a, f; d) ^2 oif( length (item i& j4 c0 s% W+ r
[trade-record-all] of customer) > 3 )& ^/ d; X! b; m% t2 _' O
[
: H; ~9 W7 U) i5 ^ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)" W( v: w2 a) H8 t
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]: F: P1 A1 c% H8 N) J0 J X% F
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]; E/ a$ C2 K4 e0 ]
]
: Z: a5 |2 l; h# S, z) E]3 R) h# h3 {& X! r% c2 Z( @8 k
set global-proportion note0 u" @2 ?+ @) G- N; a0 v6 m
]% W: {3 O, c: [5 B
end1 N5 U0 h6 e7 }
* [6 ^% w0 c' Q$ Pto do-trade
) p T+ L! E# }+ ]% n;;这个过程实际上是给双方作出评价的过程
3 k5 U2 N: E, ^+ u4 V" n/ Qset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
; n8 w. T; e3 L5 D+ jset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价4 F6 T0 P( F' L
set trade-record-current lput(timer) trade-record-current! F$ J- F7 E3 P7 L+ y1 _' K" p# v
;;评价时间9 s6 t! n7 P* A
ask myself [
9 I3 G! [2 C. F5 `update-local-reputation
T- J/ M' V/ x, bset trade-record-current lput([local-reputation] of myself) trade-record-current% o6 I% E1 E& S& d. q j+ d
]
; m, Y4 e" H9 A, `set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself1 K: r6 [5 ~% K- F& b7 `
;;将此次交易的记录加入到trade-record-one中4 D* h! K( } ?4 }4 r
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)1 p! ~* {4 S& {+ Y5 H" R9 r3 b: A0 V0 X% q: W
let note (item 2 trade-record-current )
) x3 o, F( c7 Cset trade-record-current
& @+ a* R+ h' s(replace-item 2 trade-record-current (item 3 trade-record-current))
+ |. V& ^8 h, W" T4 R; H3 gset trade-record-current O& |0 i. J6 y5 C: w8 B/ f: X
(replace-item 3 trade-record-current note)
8 P# G# Z/ R$ V* g) g
+ V$ H9 i% Y4 Z9 h
m$ {& @2 I/ m @& f9 J3 s1 xask customer [) @# }8 s! s# M& _
update-local-reputation
4 }7 q1 W' r0 j* ?set trade-record-current
. t# i# d* s+ ~! Y(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
9 ]+ e! B% c9 n$ K6 f* Y9 A]
6 n5 n- O5 T3 h4 y4 O- X: J( b
. J2 ~7 F! j( P! \/ K$ ]" R
; B! r3 _2 y6 [, lset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer1 G* B J8 B# \
; s8 @5 q" ?; N
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))( q( F |; r+ Z m, d. t, k
;;将此次交易的记录加入到customer的trade-record-all中9 G! g6 H V: H0 ?
end- | I# a9 O& T0 k6 W/ ]$ t
( y5 U5 l: z5 Q, {9 rto update-local-reputation
) U! G6 R9 n+ |4 ~0 p2 tset [trade-record-one-len] of myself length [trade-record-one] of myself" o# N1 \% m5 W3 v9 q
8 L+ o% T, d: ~5 l3 U5 q2 A4 @
7 A: m5 O! m1 M2 A. V% J( b;;if [trade-record-one-len] of myself > 3 ) u' ~3 @# V% G7 ~" [7 S3 l
update-neighbor-total
& c/ h4 n Y/ ~) V* D;;更新邻居节点的数目,在此进行
0 m' l- E' I, a( c/ X" Llet i 3
& X! [. x" t/ o& ?let sum-time 02 l# P, D- `2 ]8 L
while[i < [trade-record-one-len] of myself]
8 x+ z7 S( Z% a% I[( T8 T) Z$ {2 N# k. K% _6 S
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) ). f8 c! j* C8 }1 Q8 N/ q7 T
set i
: C2 g2 l5 w" K1 d' H" E( i + 1)
0 E% X1 V3 A b* _' N]
& ]( z$ z- v( J, ?# flet j 3, L9 m% k6 K+ T0 ?
let sum-money 0
- b$ W) b8 j& V Q" W, Xwhile[j < [trade-record-one-len] of myself]
$ u2 C9 u' u, ]. c; _[
0 O4 D5 V2 I5 s6 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). ~2 g/ ^ ^0 W' e A3 z
set j
v% q1 j b9 N1 r& e( j + 1)$ Q* {0 L3 H( |. }
]
/ L% S$ g/ D7 `0 c$ dlet k 36 @4 j9 `) E) G* z! E3 d# Q+ F
let power 0
4 B/ H) r! |; V1 Y# Plet local 0* b4 w3 `/ c, }: P& a$ q
while [k <[trade-record-one-len] of myself]. H3 x% z' b- S6 X
[
6 Y3 X3 l3 U0 T& [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)
* s& S; y8 h6 bset k (k + 1): k& H2 P8 s4 Z' Q, g3 [
]* z( s- a& @2 r
set [local-reputation] of myself (local)
' y/ m- w% h/ x7 D( z$ W) V; \* j% L# Iend, ]( k! G' ~7 P+ {3 i1 S2 J
2 |! y9 F: D/ |to update-neighbor-total
, R, L4 a* f( y$ z8 R
2 u; F% X3 b' ?* Nif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
$ s* c% m0 v8 }6 J0 r8 Z) N! o
/ ^5 S+ z9 P7 C3 O9 fend' I ?# c3 A9 E
1 D) M7 q) g5 L v0 J3 U {to update-credibility-ijl
' L$ Z9 @# F- b. G7 ^
' K0 E6 z; _7 {+ P" p;;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。7 ^! q) X9 P1 F
let l 0
$ d, z, i, ^, j3 t: o0 `3 c9 d swhile[ l < people ]
1 }- O9 R* k+ f7 d8 f;;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3 Y7 M: f' R; F: r, r5 P
[
1 ~* F& v; L$ A, S1 p- p0 alet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
! F ^* J/ c% T: X. j" C" nif (trade-record-one-j-l-len > 3)
$ M! N% ?/ H! a% q9 a" O+ Z6 I[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-one1 W5 Y8 ~& N! ]; D
let i 3
6 o0 b' [/ @8 y% s8 }1 Z, olet sum-time 0
& M% v H6 j4 P0 Zwhile[i < trade-record-one-len]
8 J9 O& ]8 }- _4 B/ l4 c" i[( _2 ]* N' w" g& Y* S
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
/ ~- R8 b0 M' nset i0 \& @0 d% K3 ?# G- Y9 P
( i + 1); [4 i$ \% r( ~3 T, E8 h
]* L& i6 ]+ p8 M. m2 N: f& u3 s
let credibility-i-j-l 0. F) n3 I$ j- T- O. \
;;i评价(j对jl的评价)
0 O9 f h+ Q8 h& olet j 35 z( J( ]( z& P3 [% c
let k 44 i6 ?7 r7 d2 h. Y# {' y
while[j < trade-record-one-len]
& t( C8 \/ z' l) |[
9 d" @& Y* z5 o* u: Mwhile [((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, O" T' t2 L% v, m. P3 o% D
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)# a$ Q, M9 ]/ R% z
set j' W) V$ N) b' `9 j
( j + 1)
0 `1 c0 g$ Q6 D. B' t$ o1 W6 p F]! A' i; ], P7 G: ~) v& e7 i2 I
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 )). y5 G3 U% d* H9 Y% ^, }0 V, _4 z4 g
$ }' b5 j2 b$ o. R; ]
5 B/ A& h6 u' T8 {. X1 b, F
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))7 B) V6 ^) d- J. r: t! V
;;及时更新i对l的评价质量的评价# ]4 A- P, R/ Y% g7 t. @* E
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]0 p; e- I& }$ ~- [* _9 F( E3 K3 o
set l (l + 1)/ q0 a; }6 a0 I: u3 h
]3 f% ~( S$ K% c
end
* p9 p1 }5 V# ~: ]' E9 f
Q) y# P% }/ G) e. G4 k7 k" Qto update-credibility-list
7 K- L" p/ T$ l. r& ]& olet i 0! |; G6 u" n4 A/ z8 u' c& w5 Q
while[i < people]2 R' [! [6 E' L0 q
[3 O* ^9 B6 s+ z+ I8 i2 `
let j 07 V- L( q9 N7 D* \% b+ ]. o
let note 06 ~" Z# j! P8 R0 Z- u% K! E
let k 0
3 ?& p* v% K6 P;;计作出过评价的邻居节点的数目
, `# b9 y1 a8 v% c% L# {8 P4 Dwhile[j < people]
% _. v+ ^) a: W& \[
/ e, Q" S0 K' V) w5 _if (item j( [credibility] of turtle (i + 1)) != -1)
6 M S& C8 ?* e+ |9 A;;判断是否给本turtle的评价质量做出过评价的节点
$ f; f4 ^$ s: b( v$ E- S[set note (note + item j ([credibility]of turtle (i + 1)))
& f& U2 x! `' f5 m# c6 g7 ^;;*(exp (-(people - 2)))/(people - 2))]3 ^" ]0 ^" z* ]+ w$ b& }) m" s
set k (k + 1)
# V+ j2 d. x6 |$ v) s/ B]+ G' c: ?7 k3 S' g# ]$ Q2 K# C4 I
set j (j + 1)
s/ H5 Z! N* t& ^( t6 C]+ r7 P% t( u6 o! Q: O
set note (note *(exp (- (1 / k)))/ k)3 O" J% Q( |( |# H1 O
set credibility-list (replace-item i credibility-list note)
+ L8 `! n3 k9 vset i (i + 1): [% h, F! Q7 {! C
]. e( A' I; ?' E( C; D* k& n u
end
- V: J% G' d, v# P* z) N$ A" e w
4 }# Q0 Z; R! r( J% i0 c! dto update-global-reputation-list1 r8 a8 s C9 R& m- B5 d
let j 0
8 E7 j1 i/ e. n' ?2 E2 ?+ X, X! nwhile[j < people]+ x7 |# t, d# y9 y1 F
[
" A* |0 c8 M& @let new 09 r1 S' {$ h6 L$ n8 s
;;暂存新的一个全局声誉7 o! ?& [2 e( t/ @. O) B% H
let i 02 R6 S5 K. M2 q
let sum-money 06 u, M& Z& e- @6 w; K; ~/ [
let credibility-money 0
$ V: |9 z2 ^, y* W, R$ Ywhile [i < people]% h& G/ M8 ^, q0 S! w3 J
[, d, C; t. T+ J' N3 a2 B# C
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
- E2 J8 a& {: J9 q% A m1 |set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list)); w' \1 e9 k( U3 y$ d9 M( o5 S
set i (i + 1)
# [9 O' @/ p; @& I4 l: y4 |]
& c' |7 K5 I+ F/ j& `- |let k 0
, \5 P, ~" u0 W1 }* }+ s& Y" t6 slet new1 07 S; v- N( J& g( I* k/ [, Y I
while [k < people]" E" m( k9 _; ]. E2 a/ E
[; s5 [0 h, p% H- o. y4 v
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)- I1 ]1 O1 ~9 B
set k (k + 1)9 j- k' Y5 E/ D; |
] V5 x! r9 i2 D( j* H- g
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) ' K% r; |: n" [) y% [) N
set global-reputation-list (replace-item j global-reputation-list new)
9 }9 C$ V0 k5 k, T; Dset j (j + 1)4 C; \1 P$ V' [* ]/ C
]3 F% m2 H6 F: G5 P9 \8 }$ s- `* o
end
& ]6 V7 {! Z$ y) z- }. @ X
* u# D! [2 A$ u4 A& q+ ~: W, w E2 O: I& Z5 ^1 l
5 O ?' W0 b7 D% [
to get-color- x [# u2 {& L |
9 j, d2 }2 v+ C& Z
set color blue. j6 V/ }5 A5 r$ k9 ~0 L
end
& |& A, B- A+ _8 x+ ^' D
( O. q+ X1 f J6 f) C' y- Oto poll-class
: w L _8 b, z7 |3 dend! `; w+ x- u% ~8 U# k
* ]! q0 }6 K* W4 v; r
to setup-plot1
- Y1 Z1 e1 M- B3 G( o% B" p. U2 M/ L! m- A( L" F
set-current-plot "Trends-of-Local-reputation"
. D# k x) q% i! c) T; d9 ^5 c' q( n; |9 _/ C3 ^4 Q+ a
set-plot-x-range 0 xmax# P6 r, C% E8 R5 K( q+ o1 l( Y) P
1 o- ^. X: e3 G' P
set-plot-y-range 0.0 ymax0 w6 C, D# j# Z4 P7 N/ L; {0 Z
end6 [* J8 F; J: R! ^+ P p
) Z4 K& q" O4 E0 \; i7 u8 }5 I
to setup-plot21 c8 f, h2 e. P
: a* W; K$ C) r8 S) M$ y0 o
set-current-plot "Trends-of-global-reputation" @7 w2 c' N. K! z1 J# L, L3 n b
( E7 [$ r$ a# b% q
set-plot-x-range 0 xmax0 u4 k1 l- U# {9 K
7 p, m7 F$ H2 ^, d+ X9 Z. Qset-plot-y-range 0.0 ymax4 O& ^- P! ~( f- G
end7 M0 {! H; q# O; _0 m
8 b" B. k. E- k1 j; j% e
to setup-plot3, ?/ Q3 D) O: o4 j- a$ p9 P
7 k$ u5 ]( M0 m% j# p! @
set-current-plot "Trends-of-credibility"1 J2 V( @8 ~; Y% w/ j" b
; Z8 u' q& M M
set-plot-x-range 0 xmax
8 w% [$ Y, u3 \- L: ] L% `' _2 J& F8 h' y3 J) R/ N( e
set-plot-y-range 0.0 ymax
2 b) S% ]" b. b1 w/ e2 G1 G' w5 Hend
3 x6 o d. Q& s% o9 ]$ ?# z0 @
! g8 s2 n g, X+ o6 Kto do-plots8 p# n# O: y8 H% ?3 r) {
set-current-plot "Trends-of-Local-reputation" Q% i' L R% Z6 Y
set-current-plot-pen "Honest service"
; ?5 A" f% p! C: k" K7 }end/ Q, z) D- W6 b# ?! X( Z
( J3 `& C5 a% T4 }
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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