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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
; L2 e$ f1 N( l5 K$ r2 mglobals[" D c4 G4 ]2 p* h( v9 @
xmax
3 N; Q3 ?7 x, Z: Gymax+ u/ C/ b4 L/ ?) j8 [$ w% y, M/ f+ p
global-reputation-list
8 _" K! {; ?$ R2 K; ~# O
/ h0 t- i/ F/ K) M;;每一个turtle的全局声誉都存在此LIST中
7 O, C7 X+ X, t) p$ Fcredibility-list2 y: H5 ]/ r+ Z- n U4 W) `
;;每一个turtle的评价可信度
. E- o8 n4 @" v) Y; w: ?8 thonest-service
; }4 D9 E% y7 |& o% }7 Funhonest-service
6 e }. A3 d/ ~oscillation
) z6 v; ~( A) D& Krand-dynamic
2 F, E+ ^2 _ Z/ n: H]
6 L3 \6 _" }) |4 C. {
' q8 } @5 s% W$ k% T% b5 Lturtles-own[
9 ^; u0 ~! E9 }- ^ Wtrade-record-all
4 `/ C# N( Z9 Z6 \;;a list of lists,由trade-record-one组成
4 s% }' @3 e: E& Htrade-record-one! v5 m# S ]7 H% x
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录6 {/ O# w2 R7 ^) y) v
) Z4 D: [: V& Z4 o
;;[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]]* O9 a3 { `( m6 a/ F
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]$ P( \5 o& A- z7 M: h0 M% I7 H+ G! e$ |
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list4 w+ S. `" \0 w% n3 Q
neighbor-total
0 y, i* ^* j; h2 I;;记录该turtle的邻居节点的数目
+ F0 ^% \: j5 u" p& s, O4 s1 itrade-time$ f. i. p" ^ `1 V4 a/ F8 O
;;当前发生交易的turtle的交易时间% ?- _: Y/ d& Z
appraise-give
e# P& [9 y+ Z8 a6 V) ~; n, Q, b;;当前发生交易时给出的评价! s9 h1 h+ E. @2 a
appraise-receive
; r I! ~/ i9 T5 c: o;;当前发生交易时收到的评价* p+ x, d5 p$ S0 `* d# ^; s
appraise-time
3 j( `8 X! m" ~( [7 h& K;;当前发生交易时的评价时间
4 O" e1 P5 T% d) K0 D' i$ alocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
& |. [+ i' ?4 }! q# G+ W% F) xtrade-times-total: U2 Q5 U7 k( { n R( l
;;与当前turtle的交易总次数
* [' w& W" H8 L' m9 }7 N" dtrade-money-total
* V& C# ^1 ~5 _$ E;;与当前turtle的交易总金额
+ M1 ~3 x; ]+ f: H, e- Zlocal-reputation# y6 }' ~! t& {8 I* i
global-reputation# n2 R. J9 ]7 b6 |
credibility. g# g8 D. e/ ~4 \
;;评价可信度,每次交易后都需要更新
+ E8 u- n9 C- Z2 }credibility-all+ u- F0 F0 |& C+ i r2 ~4 @: 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 \! y+ g% S: `7 D" h6 ? }. a6 v W) ?
;;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0.52 \4 ?" P4 {4 n* p
credibility-one. {, O, e& t, ]$ u3 F5 t8 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
- V( x; h' I' ]7 T) O3 wglobal-proportion' h7 w, a" m# Y8 N- ~) R
customer
# c4 ]+ @9 D) b+ G& P# l4 Lcustomer-no! a% g- X9 `0 c. t- Q
trust-ok5 e4 d& z# M4 D$ o; k/ P
trade-record-one-len;;trade-record-one的长度
4 Y% E4 a8 \; U: C0 }]
, k4 [/ G0 ~) Y
9 n1 ?2 S9 d. q" Z- U8 g;;setup procedure
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/ x% W& H9 g$ F( |4 m; n' wto setup
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+ \. D. F0 t2 E" \1 t6 ?ca! _9 b. o6 O3 o# D* ^$ ?) a. d
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initialize-settings
0 {- J+ W( @/ e8 W
5 S; [/ Q6 i; H3 A7 ~3 V. f5 v6 e9 Scrt people [setup-turtles]! q9 Z; V7 a: N) X" B* j% z
, h+ k+ o- Z0 n; f8 z" \' ]% A
reset-timer7 ~- I6 `; [2 @$ U! v' H8 S4 o1 g
4 ^/ ?0 q5 a! h! {1 N
poll-class
0 k2 k% W( O7 b* e0 K2 q' N2 e9 |
4 S% ^" ?# v0 `7 P9 M: Bsetup-plots0 A- a) c! _! e6 X
5 w3 \1 o0 [- I8 x* m9 ?; P2 qdo-plots- ^6 F5 P- C$ I& ^9 o4 j, g
end
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to initialize-settings
6 {1 K5 `8 l: u% S' v$ H
- p( ?; H: n) v2 D2 a5 P: \! ]4 ^set global-reputation-list []) ]( s3 ?$ ~8 }; t3 L) `
) X$ |! A, J, V: b+ u8 H( L
set credibility-list n-values people [0.5]
0 o# e+ W8 v) \0 V2 d
6 W2 o0 Z. p4 c Yset honest-service 0" t. O" ]9 _2 E" Z2 e* m" ^
" N0 c$ x) l4 _% X9 B
set unhonest-service 0
) w7 ~# F9 p- R. i2 g
( h* i" y8 c1 n0 M3 y9 h9 Yset oscillation 0! G6 g4 i& j! o- b
% a; h% T1 f- l/ ]8 y6 K- R
set rand-dynamic 0
1 t* \) V* [$ Bend
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to setup-turtles 3 S+ ^! @/ N0 N: r7 h
set shape "person"5 F2 M: O8 d; R
setxy random-xcor random-ycor/ X; O) \: `# q2 e7 f- o
set trade-record-one []
" Y' S4 |; n) y5 ]- x" U, m- y+ a/ _. |* S" ^* G, S2 z- E
set trade-record-all n-values people [(list (? + 1) 0 0)] 6 x4 a% b9 D V$ Y
: `# [$ `6 p) C' [1 I, [2 v
set trade-record-current [], j6 ^3 O9 V t: q6 [
set credibility-receive []
9 J' p" _' X/ k4 c% O- [7 tset local-reputation 0.5
C8 G" }: ~0 h+ }5 q) g7 Vset neighbor-total 0; W( |; m3 @' t1 o
set trade-times-total 0
2 j4 W! N9 v3 U* I5 ?set trade-money-total 0, g( l& C% V& F' B( }6 J! d
set customer nobody
, X, W( d- V2 s9 m0 m5 P gset credibility-all n-values people [creat-credibility]) D. L& R- \4 ]' p+ ]
set credibility n-values people [-1]& E: j( [' O: c2 ^7 W) T( z( W
get-color
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end
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to-report creat-credibility
, ]0 [; |/ l* `! [* treport n-values people [0.5]
' {: y6 `! S: M$ f" s4 O6 w! Oend0 H% ?3 F' {: T! j% p3 A& \
) C. e8 a& h6 m1 M C. l7 Nto setup-plots& z* O" w9 z7 r: ~
2 j( `$ Q; n3 ^; h: Z6 _- D% R+ Hset xmax 308 v9 O- [/ W% ?. ]
$ i; B8 b. a. ?" Q# j4 \9 `+ T ~
set ymax 1.0
, }$ O1 i! ~$ W+ q/ v/ ^) R8 H5 n' s3 g
clear-all-plots
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setup-plot15 T5 Z& o: l. v' Y( K( ]
! [+ W# X+ P, T7 t4 W; @" I2 Vsetup-plot28 w; S% ?1 @- f, `3 r2 y
; Y* l4 N1 X) f+ H1 h
setup-plot39 ]; d' p8 ]' k& h# a1 G* w
end
1 u9 F2 T0 C5 M
9 m# i5 D1 J! |7 k4 R;;run time procedures
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to go
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ask turtles [do-business]
5 B- e" M! f; G; Dend. h3 r$ z4 W- |/ N4 G V
i! U' ?# t* m' R7 m7 O0 Dto do-business
# L! y7 g! j+ p0 W- g' g
) p7 R' w* {4 O; i: Z% E5 M
3 j6 W" o% `9 U- z# b5 n. g0 srt random 360
4 I3 Q8 b3 s- U8 L) U/ {$ r w0 y: h- V
fd 19 L9 Y! k7 S9 V3 n }
% _0 N$ e# s% }5 Nifelse(other turtles-here != nobody)[- N5 j6 `5 g$ P+ ?" c4 C8 W
, H1 j6 x7 s& p- x6 jset customer one-of other turtles-here
# P- c7 s* G8 \$ {
0 `9 j* Z2 {, ^9 {;; set [customer] of customer myself, M m* l3 g: ?0 |7 c' J/ z
3 {' w1 L0 a: Fset [trade-record-one] of self item (([who] of customer) - 1)
# M$ A3 R& J% U& T1 U[trade-record-all]of self
# l5 a- k7 ~! L9 ?& ~;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self( k8 M9 S; @2 M, u5 I, U/ T$ r$ Q. R
* V( s- f! i: G$ v8 m
set [trade-record-one] of customer item (([who] of self) - 1)
/ X1 C$ A, e8 n7 j& r: ~[trade-record-all]of customer1 j: C* b' p1 Q) ~: H8 A7 v
: Z! C0 {, @+ G) x: ]) V! o
set [trade-record-one-len] of self length [trade-record-one] of self( i- @- I/ Z- V2 |
% ~+ |$ }$ o7 C K, q- M
set trade-record-current( list (timer) (random money-upper-limit))0 A' P/ i. S4 k7 {$ G3 @, w
! F8 H, ]2 F2 Q8 n$ [
ask self [do-trust]; B% p' i" J5 T6 g
;;先求i对j的信任度
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# C2 M/ o) n- G9 D Aif ([trust-ok] of self)
1 {( Z7 p) G" \ D3 Q, ^;;根据i对j的信任度来决定是否与j进行交易[1 D3 F0 G5 w: ~9 v6 l; [
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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[5 Y E6 }! l* Q* `7 q8 N$ M+ V/ @
, R1 z! G4 E. \0 K! b2 S. {do-trade! D* p0 W8 }( q( y* e
& o- P, e% d, z+ M! H, e
update-credibility-ijl3 q- I G J2 _( h8 U) w1 e0 t
7 d0 N6 C6 r n1 V4 o2 R( k- I
update-credibility-list' S2 |2 F6 Q6 E
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% W( |! ^2 p' F; E
update-global-reputation-list
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poll-class) A) e/ H; Y9 G. E, c! Y# p
: D0 ], R( N) r/ @5 uget-color( S4 v8 i: N: E n& j6 A7 a; B/ @
; b4 V2 [5 C5 x$ d/ W. L0 I
]]5 B' B% e& ~' y& r6 Q) ]
0 {) |2 H. P7 r2 T: _4 W
;;如果所得的信任度满足条件,则进行交易3 [3 E1 @: |1 k& g
; O* O& Z# }; O- ][
* v: U. }. q3 |& ]2 c& T" V, Z3 E0 v# p( j4 j1 v
rt random 360. U& A. s, S0 G; F% p0 Q
+ e4 W+ K. o+ Q5 r$ P
fd 1+ b8 W, T& r. ?) J
/ e0 Z' o; n$ p6 j1 ?+ \]
' D/ d; B( E8 i' j) O- Q
' @7 v0 |) I- Q4 M! {4 N& M' nend
$ Q9 \: M1 k, p+ u+ r! e' V+ A
% u/ W: P: _" I1 c6 Q. @2 l& C0 `to do-trust
+ ^) E s4 ^ t! [' O6 Mset trust-ok False' T) S% j5 k3 L/ P& i5 P
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let max-trade-times 0! M4 m; y, C, G- t# S
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
, C/ n; P$ D0 [/ |; [7 {let max-trade-money 0
- P. y, s# {/ n; J1 Mforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
9 {4 u, B8 o: `5 w0 P- ] Slet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
" k% p5 H+ g: {/ K& {2 C) P2 }# K4 m1 q8 I
: Z7 a0 D4 g& q
get-global-proportion
( W3 v* j9 j$ slet trust-value
# {1 g" E$ v' P' O2 t0 n7 clocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
, {+ \- V# P0 O. A+ K8 [if(trust-value > trade-trust-value)
! t9 z( |# e5 S[set trust-ok true]& W' q- R$ b4 P7 n# L/ I+ w. C% H
end
5 S) U) l! G" d# l# L% H/ W# \& @6 K& u
to get-global-proportion3 ]7 h3 v9 W6 j3 k6 V3 q6 s' N0 \, W
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3). h) O+ m2 Y2 a; Q1 ~% |2 o
[set global-proportion 0]
! z7 g# q6 P1 b, q/ Z$ m; {& D6 Y: L[let i 0
( N! q1 T7 H1 U. F1 F" I; C8 ?let sum-money 06 t8 ]/ x" `6 }* @
while[ i < people]7 ]5 {( O4 t8 h' A
[
/ r, @' W3 ^1 X# {: W! H3 T: Aif( length (item i
* C7 @! N" _1 Z/ L2 S6 |% j, {3 Z[trade-record-all] of customer) > 3 )
) o' L: q. G8 z& }) `8 M& y[/ b! }& F' j1 q( _8 U& m# H' u
set sum-money (sum-money + item 2(item i [trade-record-all] of myself)); ]: q% v) M. S* T) c
]
0 K' Q7 g% }$ x: Y3 v8 X]: J9 ]/ ^ ~( V/ y/ y. G( P
let j 0: x0 [. \3 Y' `
let note 0
, k: ~! s! f& p. h: `& h2 \while[ j < people]1 ^! V" W' [2 t( k. u# \5 I/ L6 k
[
% q( Y/ r+ s* P0 I! j, t }if( length (item i" `8 I; A: ?" A
[trade-record-all] of customer) > 3 )
0 ]& T% r9 W- V[
5 E, l S/ u" j0 I- w1 d8 Lifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)# B: l# U& ?, A* j
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]. L% n% e5 k/ O
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
7 g: E5 g* D6 ^]. C8 E' x" \- D4 x* T
]
' ?% j$ j: a9 a Gset global-proportion note
J x! B3 \. B1 q9 g ]7 T! u5 U]
1 n, q- ~# c. F, c, W8 iend
' t% i% A" f/ d! N
2 N- R% N6 {" g8 w' ~$ tto do-trade
' v# T$ C( S" b- S$ ~- S;;这个过程实际上是给双方作出评价的过程
( @% a# Q1 E9 H* ^* Tset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
. m+ e2 {0 l/ N6 S* w# r4 Uset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价4 e" U- j( t7 G d" W/ [' L
set trade-record-current lput(timer) trade-record-current( C4 d1 t) P$ j+ ^7 A8 w
;;评价时间) T! Q( C' q1 P
ask myself [/ _# H9 L: z) G' F3 l; W
update-local-reputation
9 G1 S* E( G/ O! M* `. u( A6 sset trade-record-current lput([local-reputation] of myself) trade-record-current
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set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself/ p/ ?4 k6 C% d+ D) @9 ^
;;将此次交易的记录加入到trade-record-one中# s3 E' E+ u; i7 h, p, U
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
% N+ l( p8 a0 Y9 Q" t9 Y) S; mlet note (item 2 trade-record-current )
+ s3 Z3 m8 v/ O! m4 T& l& C9 dset trade-record-current
. N7 C2 ~ }5 b: C' p9 w+ ]1 N8 i5 C(replace-item 2 trade-record-current (item 3 trade-record-current))0 U6 T$ D# j; b7 v
set trade-record-current/ z0 j; o5 B( C' x+ [0 {
(replace-item 3 trade-record-current note)
5 R. N; C, d" r! i# Q! o* q/ \
7 ?. t" z6 `% V; o% k4 I& q3 t T, ^9 _9 A
ask customer [7 z+ v0 g. H8 c* f
update-local-reputation/ d( u$ G% p3 j" L5 ]+ ^ G
set trade-record-current
e( ?. Q# ^2 t# K4 v9 ?( c(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
x. F% C- l( _, n2 j$ A% j" w]# A1 S4 ?9 Q5 G) r8 Y) m8 k
5 e4 e! v4 }( k1 n0 W( k% b! J( O- G
" M5 ^4 `" v! j1 {5 n- j0 m0 j$ sset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer. ]/ H' k7 F. O3 r! G
5 m$ k( P% x6 Y$ \; U6 y( H! n9 kset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
/ x1 g( k* l1 I! s9 [& D& H5 U0 A Z;;将此次交易的记录加入到customer的trade-record-all中9 D, P8 \! G; H
end9 L; Y% t o4 x
9 [5 W9 A I/ {to update-local-reputation
# U7 I& V3 R. D& k# P" iset [trade-record-one-len] of myself length [trade-record-one] of myself" H2 [# G9 G$ y" s$ B% }0 r
3 Q' q J2 ]% A* Z$ C: T8 ~
3 Z2 z! p4 K a$ [1 {7 A) Q
;;if [trade-record-one-len] of myself > 3
6 k! T4 {' b/ F. `9 yupdate-neighbor-total
0 Y. m0 @% x- k$ s! N9 \, n;;更新邻居节点的数目,在此进行
# Y) e! S+ U2 |5 D/ clet i 3* m5 M0 ^0 }5 L5 G8 x* U
let sum-time 0' T/ I8 K N3 X4 R
while[i < [trade-record-one-len] of myself]( Z- P, D% |: O$ B0 F. H( {
[+ W$ K/ @, @; z( s3 m- E% M
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
9 e% n7 ?+ B' q3 I5 t/ p2 Sset i
# ~# ~7 ^. r- ^. V; C3 N( i + 1)
) A, d8 h# c. x; x9 ^% s, D]2 O; V/ }0 Q0 X- [ |
let j 3
: X+ b! K4 d( k4 Nlet sum-money 0 D- j. ?: J% j; r P C. R* P
while[j < [trade-record-one-len] of myself]
8 X; B* W4 S, G3 @; C[6 K" |+ o! a& v& d$ P$ J' D9 p
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)& A% z9 ]; M, r. v7 s( `: [9 n
set j
: |" W! x5 c1 f) V3 }( j + 1)
d6 @& n, {: H6 A% b! n]
) S' }- ~+ u2 o3 ~ A4 J8 c" Tlet k 31 E$ v; Z" P/ V- K- N" Z
let power 0) c& D# w6 o N; T
let local 0
# M* {% g, Y. y& j& E' Xwhile [k <[trade-record-one-len] of myself]/ D6 j- t7 e' d9 g7 _
[
/ u: ]8 P" \) K" iset 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)
0 R; F" H! `; A$ g5 [6 N2 eset k (k + 1)8 [' U- `0 p0 X) j
]
, t/ }" o4 M5 {$ t5 Eset [local-reputation] of myself (local) M% l+ H" P0 a/ A) U8 {
end9 i- z% v! @6 C0 J
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to update-neighbor-total
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! b* {0 m) W2 \9 o- N, _+ }; [/ W9 cif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ], ~' J9 w! I0 t& d+ x( g+ p: \- A7 a
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8 v7 A3 H t1 t; y: zend7 T* J0 P5 t2 ]* S
l& q# U: S& |* M: K; J
to update-credibility-ijl h# l% F7 h* L* f
% g9 a5 M7 p: `8 n$ s9 m;;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。
+ o* {( Q, D% l* a: b$ [let l 0
$ L0 P0 p9 t/ H( \6 i7 e$ C( Dwhile[ l < people ]7 Y: [* t' s7 r" i$ F/ i! Z2 A
;;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& [9 l/ X$ ?# E
[% Y' M8 P$ H) h" ?2 r0 e: Q
let trade-record-one-j-l-len length item l ([trade-record-all] of customer). b8 k9 T7 o9 m x2 G2 P) C
if (trade-record-one-j-l-len > 3)
7 C& f% P+ r& O Q% {; L8 N[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& A! Q2 ^6 Q) w: q p- `9 `+ I
let i 3
( \- N! D, v( u. Y: c8 Mlet sum-time 0
) m3 m, S) h5 m( H" M& nwhile[i < trade-record-one-len]
; B6 J/ S; J/ E$ K$ B6 y' _[
$ y6 e9 U* n' O A! G7 D& @; j* _set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) ); J0 |, m1 ` J: w6 o
set i
& t- {. \) H, I! Q% G( i + 1)2 y1 I8 S: D8 l: y4 [" w
]
2 J+ f3 p8 x! n2 c- x& ]' v$ glet credibility-i-j-l 0
4 I$ Z4 B. M8 R. ]$ j# t;;i评价(j对jl的评价)
+ l9 j" ~' d- ?; Flet j 3' A) R3 F) G8 j$ _, z) M
let k 41 W* z4 W$ [7 i! U; r0 W" b
while[j < trade-record-one-len]
+ I4 \+ J9 a& Q[
( m3 v( P0 j7 H, k. ~! s) awhile [((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
+ `, w0 W" ]0 D5 l2 }5 [1 Q0 I: T! F, Vset 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)/ e4 w; U- n1 H0 G7 t
set j
F+ `1 d4 H O9 r( j + 1)
8 j) {: M8 F5 e/ z5 {]% D& T: S: a/ k% y- O" z+ M/ t
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 ))" n# ~" Z7 F, E3 G0 v: s
S: f7 H ]" F# W
% ?% k/ _" y# E% Z9 zlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
" R5 G3 N; P" E+ Z' E;;及时更新i对l的评价质量的评价
8 T* S- z8 \) a9 c% |) H9 Qset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
7 n9 z+ b6 V% ^" ^4 n; x9 b. Qset l (l + 1)& H% Z- z. |. U+ |9 a" z
]
! h0 ]8 a( I5 e3 lend
8 l; s7 ]% s' \+ S9 h. O" v7 n {7 d, y( I y# a
to update-credibility-list
0 h1 R- k, w5 v* C: Y0 G5 ^9 ilet i 0
5 ?" t5 { V% n( E$ s5 @while[i < people]# ?, z# B) L$ Z( L- B) c/ q# G
[
$ P# [4 x! b3 a3 E! m* \let j 0
1 a+ A; ^" P. X' [, w& Jlet note 0
, _ t( m: e' E3 d1 O! M: X5 F! ], xlet k 06 X/ ~2 d; S8 M K0 c
;;计作出过评价的邻居节点的数目
% U7 Z; T# s' h( R# n6 Bwhile[j < people]
9 k% _1 @1 R, w) m0 G[0 V) n4 R" U: U
if (item j( [credibility] of turtle (i + 1)) != -1)
* d2 A, y4 r! s2 Z. Q;;判断是否给本turtle的评价质量做出过评价的节点
4 B7 }) g% [5 Z5 S7 Y[set note (note + item j ([credibility]of turtle (i + 1)))
% B7 w# L' t) T7 n G5 I7 v& S;;*(exp (-(people - 2)))/(people - 2))]
4 H8 E) n* @# ]& B6 @: b- rset k (k + 1)% ^8 Q- L. u3 w4 Z' B4 }) T) H
]
$ D" y1 p! v) E3 S1 L1 jset j (j + 1)7 v# s. ?2 a3 s1 J8 w1 v9 ~* @
]
; y& _5 G/ l, z2 G+ Pset note (note *(exp (- (1 / k)))/ k)* z5 K8 [7 q D; d2 a
set credibility-list (replace-item i credibility-list note)
3 B$ e# ^* _% |& ^. \) S, ~% aset i (i + 1)' c. ]6 r9 Q: J" B. L+ g. Z: N% ^6 \
]2 m; e. C% q$ ^$ p# [
end
% P5 t$ j, G1 n* j. @( B: y
+ t. X, v# O& F# b2 w" X- Qto update-global-reputation-list% J+ j. Q' W* d: o: F" W4 f0 ?& P
let j 0
# B8 I& h3 X) M% y; ywhile[j < people]( l7 a5 a3 l4 e! L3 I9 T
[
* {$ n! v3 J/ W+ o8 Blet new 0. ~; Q% X1 }, u. G! W: F, V
;;暂存新的一个全局声誉
' g3 w) n# s& s* P. {- o; t; K F* Clet i 0
; L8 R- B: o( g G, Clet sum-money 0. w4 G5 \( ?* v) u% @
let credibility-money 0
K, w0 V+ a7 C/ V+ }while [i < people]. q' C2 W: {( ~3 H, b
[$ D+ ]+ a6 ?, o
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))& ~- e/ e# f! X$ ?. q6 ~: V- X ?
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
`9 {: G4 n( d/ D0 nset i (i + 1)) N/ W9 a7 Y. P1 W" O
]# b" W7 \' { T( z# D: j6 ]; ~8 X
let k 0
1 C) u0 X4 o- c5 ?$ C# e2 ^let new1 0* _5 T9 f" Y q! H
while [k < people]
8 Q+ c" k* J2 `$ S Y7 s[1 `$ N" w0 P6 w( s4 _
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)
% } `6 e* g1 B7 L8 l. i! P4 sset k (k + 1)) o" ~" R: K# v2 G
]
5 Z" c* b. O. t; [- g& q& Bset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) # k" R, m. K6 _9 R7 t6 i% {) o
set global-reputation-list (replace-item j global-reputation-list new)
& V) a ]+ B, m+ f; |8 C2 b# Tset j (j + 1)
$ r y8 P/ q4 h d! A) t]
6 k) m; B& u& g6 e- Y$ g- b7 @+ iend- J' t, ]7 O9 O9 L
$ L6 I4 G5 R2 j3 g; G& i
# d* i# |8 B8 I2 N1 b
2 k' H0 }) W" u1 T Sto get-color
/ O7 X" M+ Y. j* c$ E. w
X5 ^7 F6 f9 c, Q5 Bset color blue
\: s8 n. N& dend
3 A7 k1 J3 e: Z: f: Y2 [* N" T( [4 S
to poll-class2 K1 X8 ]4 V& c% f1 ]+ v
end
/ t$ c0 u2 w3 O( O. z+ y- o# A/ v2 I7 ^* w7 I* E+ h8 p
to setup-plot1
) s ]/ h" N& @1 S) x4 R) a9 z7 e0 o9 i6 u7 ~* m9 C: N9 \* u3 ]
set-current-plot "Trends-of-Local-reputation"9 j5 e2 E" C+ t/ o) @
7 \1 \5 f& h; H
set-plot-x-range 0 xmax3 J3 ~1 }0 ?( [8 l* e( ~* o
- k% ~4 o' B6 x4 q8 h( eset-plot-y-range 0.0 ymax
6 x" c4 B7 n7 X' _- u) Qend
& r, Q+ ~6 X# L1 i4 `' \
$ e; j; C2 h! Lto setup-plot2 Y" E) m' \# `/ c) F
( a% \. M; _$ u- {% F2 aset-current-plot "Trends-of-global-reputation"% i5 t9 B) j/ c% k
* v( @/ w: k( d) c0 E6 i0 I7 s
set-plot-x-range 0 xmax1 I; n7 ]) [, G l0 ~; _
0 [! ~& i$ ~. h0 n% uset-plot-y-range 0.0 ymax
! K. V% }0 E" e) W# Uend C' C/ N' R% c3 W1 F
4 Z8 q9 @" K5 E8 E
to setup-plot3- x ^3 @2 w& d/ ^$ R
$ q4 W3 d' I3 B9 y/ X. p5 `9 Q
set-current-plot "Trends-of-credibility"
3 A. i3 L$ |- ?' E% B0 q0 _& r
" J, J( J2 O2 V4 b# M7 l3 t; B1 c2 Oset-plot-x-range 0 xmax
* V7 X% _, v* k! v0 |3 D, @
0 Z C& D) k9 o0 }9 J* iset-plot-y-range 0.0 ymax
$ V. X' }/ l$ n, o( E. rend
( Y5 g; b0 N. b9 ^) [% J) {/ R1 F \; w: ~3 b6 F; h
to do-plots
( O# A+ v9 B' |+ t2 B& `set-current-plot "Trends-of-Local-reputation"7 p; z# T/ i; t& r3 _
set-current-plot-pen "Honest service"1 _, S! y7 M+ N4 i
end
5 k/ G2 d, g1 o H8 ~" H6 a
$ a( ]: y+ U$ V2 f8 r; ?( \[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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