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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( ]$ S+ e6 Q) a. o# e
globals[+ _1 e6 u/ t% I3 b; g4 D- ?
xmax: v9 h& Y) _. _ Q
ymax
( H. a- A& m( t7 T+ ?' {$ fglobal-reputation-list
8 w+ D* {% i- S' x: a7 d
6 K" A3 o0 g) @+ a;;每一个turtle的全局声誉都存在此LIST中 ^$ N v4 S" x
credibility-list
' C8 R5 ]7 D; t' v4 h;;每一个turtle的评价可信度
; E2 @7 S" |% B: a- J+ L7 hhonest-service! t8 R6 ~9 Q, U; o0 A* ?
unhonest-service
/ ?$ [2 ^7 `- B8 s3 Poscillation
9 p$ K9 n* J" Q6 s" o. Mrand-dynamic" o5 ~7 v- ^) Q( r
]( B5 t7 ?2 z$ ^& ^/ {5 P* s+ C
N" }1 E* F x) [7 N( q; ~turtles-own[
& C, \/ C5 n8 T; D' {2 Ltrade-record-all
1 W+ R6 V7 H% Y& R;;a list of lists,由trade-record-one组成
6 P4 x" ]# K/ P* V8 Mtrade-record-one
4 |3 f! h6 F0 g( c; r4 [0 b% v;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录1 i, v$ y7 F/ W7 t% H) P/ n' l. H
8 b2 x4 n8 I1 ~; E- Q
;;[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]]
M' Y3 ? ?( m# |% P% etrade-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]
5 L$ A/ s; i# \7 K, l9 k U5 _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
! }) L7 ?7 i- b. bneighbor-total8 V- i( D, q+ V4 n% s
;;记录该turtle的邻居节点的数目
4 s) T6 R# k0 w5 _trade-time
. S: p' Q6 s% q0 Q;;当前发生交易的turtle的交易时间1 G, }* _8 y# [
appraise-give
- V2 O* Q+ ~" C! ^2 U- t2 E;;当前发生交易时给出的评价, G9 |7 z& M% q( h
appraise-receive
% H# R7 w8 |5 {, u7 o6 |! Z;;当前发生交易时收到的评价- n8 _$ V4 [, `$ R! O: m
appraise-time' u! z* f) ?; D1 f# Y+ m4 ]
;;当前发生交易时的评价时间
: U p1 i+ H- s+ `# \; Vlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
7 i, S- A' w7 Mtrade-times-total, W% {- I' t* A5 J5 f6 p8 u
;;与当前turtle的交易总次数
, j; j5 f4 S3 r$ J+ x; Vtrade-money-total
' k% t; P- o3 p8 k7 a;;与当前turtle的交易总金额
6 H2 |( P9 [" q4 c1 glocal-reputation+ j! g5 n- X/ K4 B4 D ^
global-reputation) v/ | m; o! z, O/ O
credibility
# e- D/ U6 d1 t;;评价可信度,每次交易后都需要更新
& E. k2 F5 k" k- @, scredibility-all
1 n/ `7 Q3 l, |) 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
( d5 ~+ b6 w8 X& w; Y) u& {$ L- }1 f: G$ O- \6 b" B& ?5 k; _1 j( _, ~4 _
;;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
+ O# Y7 M; C: O$ m& R+ a1 e. ^% qcredibility-one
; |" J, j" J# t6 V3 `, |;;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
/ G% E" t5 X( _/ b+ Q& J7 wglobal-proportion# v$ v5 B- r, ^& E( ~7 e
customer
1 @5 s$ N3 I. z8 x8 T2 dcustomer-no* T0 d% R. k# q0 O, f- M( m, e
trust-ok5 C& k& U1 {9 }# M# d
trade-record-one-len;;trade-record-one的长度
8 i4 s5 Y u0 _# J, o( k]# c$ P0 B* r% M0 N3 k
9 X$ d! u& g3 `) \6 u9 A" N;;setup procedure6 h* A; l- B2 H( p/ b' O
4 j8 K) D+ Q" z# \' xto setup
; o/ s# O& L8 M9 }) f' Z, B: p0 c! O$ l7 \5 U4 e" y& J
ca6 T R( ^# G9 O+ ~/ q4 `& F
" x3 J- }% ^/ j {6 X
initialize-settings
8 F w& I1 O1 J4 q5 r- ~8 h3 M
+ ^+ Y' t4 J0 K% g$ w6 e- Scrt people [setup-turtles]' c- @& c! c2 w+ j5 m) k
" g6 }# ^7 i. E1 R
reset-timer- ~, z( s$ r- t& \$ W
& A4 l+ g: r# ^5 |poll-class" W" Q% Q1 s7 m I' s# M
2 m* N4 P4 |" d% R
setup-plots+ b" e" u) y! h
( v, N, c) P* v* f# w7 U: Odo-plots! Q1 q) m' b+ x5 g8 P' U
end$ [5 h& b4 H# d
! K3 e7 U1 f6 f( l" R
to initialize-settings" e& g! N: P p
. c& r ^4 `% V4 R( O$ Vset global-reputation-list []
* {: g' v* Q/ N, T* V1 E) h! z: I
8 U' T- k0 \8 M# L4 lset credibility-list n-values people [0.5]$ W, Y( ?, u2 C1 w/ [
8 Q: g9 Q. J j& ]! R+ t
set honest-service 0
( z6 _0 m: P( j! Q h" Q& O b
) G6 Y9 k& z, ]. s; \& w$ Jset unhonest-service 0! I' E s9 o& i0 N7 }
7 q; b$ o2 q: Hset oscillation 0
: a4 {' F* K/ E' W7 p
8 I1 f; T- [+ g+ I$ ~( H' z. Qset rand-dynamic 0+ n1 P% H6 Z4 m' ?
end
/ i$ O* k8 o7 T6 @2 v P, M
) }( m$ h1 Z0 a6 Pto setup-turtles
; [7 w/ \3 h2 W1 I# q' iset shape "person"% ~8 t: D/ R2 {
setxy random-xcor random-ycor6 W3 S- @; v. Z& P8 i$ t/ ?& z
set trade-record-one []
7 B x; u. Q& a) e* a9 [5 l0 o! c! Z
set trade-record-all n-values people [(list (? + 1) 0 0)] 7 C0 Q$ P! w! Y7 d6 M7 B) o
6 j7 o$ ?9 y, ?" ^set trade-record-current []
9 u7 n- W3 b4 _4 i1 D. @" G4 dset credibility-receive []
( i0 J0 v' w% ~# u: @$ U8 k% zset local-reputation 0.59 c6 y9 ]" q# d [% i( s) x
set neighbor-total 0
$ R* C; C9 {; C/ }/ @7 V5 iset trade-times-total 0
# ~; C# x% p# Qset trade-money-total 0; H2 t4 e0 H5 Y' ~
set customer nobody
" ?4 q. i9 ^1 G# L/ D& ?set credibility-all n-values people [creat-credibility], o: z, w% |- {: p: p9 @
set credibility n-values people [-1]" Z3 ` i# ?7 T$ \2 H- T
get-color
+ t2 ^! w6 w, ?4 Z, G$ F. E6 l
1 K& K4 U' r" `" Aend
/ u: L3 ^! Z4 Z |" e6 U$ t- T! w
to-report creat-credibility
4 n! H3 o) D" z' c: vreport n-values people [0.5]' P, `- B. E/ `4 r V K
end$ M, [+ W4 V1 n5 x' u7 w
6 p8 w0 j1 c' W5 v; s# b
to setup-plots! y4 C7 g, ?2 c1 v' g
9 h8 U) f9 X( Dset xmax 30
q+ p- Q; U5 a) R7 `7 F, E ~# M& c- Y. N1 W# o" {0 _9 `5 @
set ymax 1.0* ]1 P- ~$ n2 w; B- q( m3 {
7 f6 x% t# H! e rclear-all-plots
; Z3 i- K7 H6 X" j% q9 r% r9 v) k: ^) D' ~& h/ O7 ^5 V: o
setup-plot1
- D5 R4 u5 o% Z3 h9 S
: F' }3 ]) r) o, ]setup-plot2
, K7 Y: J1 G$ X$ ?4 d
; [: ?* x3 E- H I" t5 I$ ssetup-plot3
" ^% [# O! ?4 _# C: N2 O* q* yend3 z+ o- ~) w3 I! h/ E
2 S3 O) \# R7 F
;;run time procedures- x) }9 c$ w7 [5 Z" q6 A
) {; @( W4 |8 t: P8 `$ H$ q
to go' Z* ^( c: }! S
5 r) k1 W2 h$ n7 y$ S- E( [
ask turtles [do-business]
5 I: m5 r/ S k- uend9 b1 m/ S- o; N! x1 v
3 Q k! s3 s: ?3 X( m' }$ ~
to do-business " G4 q9 V4 d# g: x7 k. n
; v* G3 Q5 S {6 W, X6 T U) F
2 y5 y4 M0 k G- Grt random 360
+ b. p+ s! X7 k+ y6 {' O8 P6 [
3 E3 ~' s, M" y! Yfd 1/ S( o/ J1 t! n$ S3 ]
; e: U, i2 \4 T% y; U- O# ~
ifelse(other turtles-here != nobody)[6 O3 r% |5 @' U/ G, `. N7 r# P
( ~& [( A# n! U; S
set customer one-of other turtles-here
8 y3 M2 a* u" k* f3 f3 `% r9 y/ s* r# U' g$ _3 r& k
;; set [customer] of customer myself
8 { v$ f7 c4 |0 z& U- h0 ~! y0 W' C1 d1 S7 h3 B6 p+ @
set [trade-record-one] of self item (([who] of customer) - 1)
( a; r. ]# F/ i- J) [, p% A[trade-record-all]of self* O- `# W( t8 C# f
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self a9 z, |7 u1 L. w) V2 G
0 b# D1 N, K9 r: c3 Yset [trade-record-one] of customer item (([who] of self) - 1)
/ g2 ?1 `, D3 ^ Z[trade-record-all]of customer( p6 n3 X) f' d- T9 ?# E3 L
, P1 u& O% h$ {3 G/ q
set [trade-record-one-len] of self length [trade-record-one] of self! D# X0 ]4 F* j, g0 e: \ z$ ~9 g
. Z y: ]: @! j9 j5 U
set trade-record-current( list (timer) (random money-upper-limit))0 \) u, T2 E: @5 r8 v8 V
+ z5 d+ |7 C) c8 M, ]' j/ dask self [do-trust]- N4 l9 f* D- S# P" K; w$ R' C
;;先求i对j的信任度
0 e2 [& |3 e) Y- f8 \. h. L( l9 v/ j) T* u6 ?
if ([trust-ok] of self)- C, O. l7 D# [* U/ N2 c
;;根据i对j的信任度来决定是否与j进行交易[
/ h+ y+ d! K P6 s# F8 |5 vask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
- \' L C1 q, j5 A4 X
* ]8 R' }8 K+ C1 p1 U a[ B% P* i* T& I8 L1 X
6 R- s5 J4 J" d7 D3 u5 k* {. d, e
do-trade3 x# W3 L# v' q7 {) S4 Z1 I
5 m* i! d4 ?6 \1 j! `$ iupdate-credibility-ijl
) x# Y0 M& a2 f6 h% _! |7 x- G2 L! r/ P: F. Z9 c& b
update-credibility-list
8 ]$ \$ W; y+ W3 d) M: p2 \( \
$ h5 ?# X+ D7 i" S( ]: Z% Y' }1 f2 p6 t' U) o8 f
update-global-reputation-list) w M0 I) _) j8 x% l
3 v, l/ d3 P2 Q' gpoll-class/ J, i) y( X* H9 f: P6 e0 P
0 _0 g/ x& o6 h' A. T8 k6 {
get-color% r8 j* h; L. P) u8 z6 w/ Z: i. V, T; Q
1 C3 N9 C. h* j. o: g]]9 ? B' K4 {' [: x- X
4 R; E, L6 O! A) S7 i X5 c/ `
;;如果所得的信任度满足条件,则进行交易4 }) r$ i: I4 t; g+ b9 S, d& d. O
) K' I" z# |# l[; `* E1 Z$ D! X% K9 `5 @
6 K8 J6 |& Z; W' T! Z v" mrt random 3600 R6 y( u( L) m! g
9 t* t2 z9 w2 y5 Ofd 1
$ m& G( W$ @2 X& K9 B% t
0 X$ v4 R% K% C9 z2 C0 x]
+ S2 s5 }7 O" G- g- h; q$ C _$ H: _
end
; g$ \) ]- i# Z4 e; K
' z( X7 z! U; s8 z P; Uto do-trust
; K) X) s+ w# \+ `set trust-ok False
) x$ F1 w$ z+ ~% |8 I* {0 K
* n3 S( |: v# w5 H& Z2 u% X+ D! f5 a* t" ?0 v( k) @5 C
let max-trade-times 0
, ~: A% ] D7 i( j* j: Fforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
. J) W8 [( T9 _- P( N! Llet max-trade-money 03 J# ~8 U2 Z7 W9 @& z& z- B
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
" X+ M. J. R& h. ~3 Ylet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money)); v |+ d; N8 I/ R
U3 E2 [- s' j7 ?4 v- S6 a: r, M% G0 r6 ~% i
get-global-proportion
4 D5 e. D( a. W% u; ^ S3 [% t6 `, N; \let trust-value
% j' e( A a+ ~ B- X# {0 u% 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)
8 e( h' m. G O0 n( J& h: Xif(trust-value > trade-trust-value)
# r% _0 O8 g: j- B. f[set trust-ok true]( J( M3 W1 ~. P8 i
end1 q% C8 D R% @3 J, B; \
0 c2 H) X z0 n& ]3 J9 U
to get-global-proportion+ A# |8 H, e, T7 K/ x9 [# W
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
- N% Y+ y x: d }3 G( _- h[set global-proportion 0]! s, _3 c( w5 B7 B( s+ h) `' Z3 n" C
[let i 0
, @8 U' C' l8 i" h+ |' g+ K' A Klet sum-money 09 ^# R) q4 g$ Z* H: X( [4 {' y' @
while[ i < people]8 ~# a6 E# t% M: L8 v
[
8 J! Y W8 B$ R2 Y- Q. Gif( length (item i3 e2 J9 T, z" V5 t+ _
[trade-record-all] of customer) > 3 )
) p' e, `1 b$ e& f, }[" d8 [( b. x' L! v* Q [" H0 `
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))" Y7 ~- e5 T# d" s0 {
]) K. M& ]7 o& a' W# x8 ^
]) R8 C! Z+ v& h6 d' Q) n2 I
let j 0; E& X1 A$ m K8 B+ ^
let note 0
% p. n, }% A* C1 Gwhile[ j < people]
1 g, N- k: M$ k" j[
( `9 e& Q a' |; ~ k( Iif( length (item i
, \6 Z4 M0 Z# J+ a0 p7 |[trade-record-all] of customer) > 3 )
! ~# P: S3 C# v# j[
/ J6 R8 M, j5 _% \ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
& \5 s/ |+ }+ m8 Q7 a g( n- J2 m+ I[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
! p, i5 w o- w! O[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]) e3 j# J1 K* X( x
]
* j0 T4 }( R V! R ? M]# g3 ?- |4 h. v4 i0 A' b
set global-proportion note
$ O1 n6 V {. m) s2 q]
5 \3 `- |. Z7 w2 K2 |2 {4 ?end
+ k0 _) S C' F1 R# X+ X- ?2 Q* R ~" f+ o9 w5 K
to do-trade
& L. r; I- [$ Z+ Z% V; w;;这个过程实际上是给双方作出评价的过程# n# Q4 w1 Q3 f) a
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价1 w0 t/ o( I2 D: I6 C& X$ h
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
1 t+ I+ j: u- x* ~' E# ~set trade-record-current lput(timer) trade-record-current. R. V+ V' k& J8 {. p
;;评价时间
2 Q$ P9 X/ U' m& uask myself [5 _; l5 ^0 M6 E0 b+ b( ` }
update-local-reputation
4 K1 F( h- U! Yset trade-record-current lput([local-reputation] of myself) trade-record-current
2 b" h& e4 G7 `2 W]- a% Y* a' K% @+ s" u
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself. _8 \$ q& b$ B6 j
;;将此次交易的记录加入到trade-record-one中( R% w% q: x! P/ M6 C8 I) F# f3 ?
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)- U$ v# L8 T7 s: U
let note (item 2 trade-record-current )
! W" d5 h1 T: Jset trade-record-current
4 H+ F; Z+ s' T2 u(replace-item 2 trade-record-current (item 3 trade-record-current))
0 M3 G- x7 s/ B7 Wset trade-record-current
! E8 A8 w; ^4 R8 d8 f(replace-item 3 trade-record-current note)5 a+ q3 u; {* _& o. _
. b. c1 O& v: \) R+ k" [0 i
7 I- O. m, ]4 H6 D7 {$ Fask customer [
' Y# r J+ s7 T% \: b: pupdate-local-reputation# U, A- W5 M9 p
set trade-record-current
' P$ l+ v( a" [(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) - x" F2 ]2 n9 c) y" {* M6 k
]
8 n, @; y; A% G* @. R. ?
2 ]% ~# w' A+ _0 m% C
3 `5 L3 m* M H5 f/ ?, j* }set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer4 V. d) ]! s' D, W t
* s* O7 ^" I4 h3 k. a8 x
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))/ X) O) Q* t7 |2 M
;;将此次交易的记录加入到customer的trade-record-all中
& g6 c E$ {7 M7 P: q2 i8 Tend8 L" H* Q1 t. ^3 l, {
, P/ `. ]7 {8 P. T
to update-local-reputation( i/ f, Y. R7 e# e A- s
set [trade-record-one-len] of myself length [trade-record-one] of myself
. i O% g4 M. i
' s- ?- F1 U% N. g0 n& U# Z, E0 D: l2 V+ x6 `; f* p4 s( X
;;if [trade-record-one-len] of myself > 3
9 z9 B. d, C6 _+ y3 ~; Hupdate-neighbor-total5 X- m* E0 {. j6 k5 h! i9 Q
;;更新邻居节点的数目,在此进行+ G+ K# X4 F$ a: _
let i 3
+ Q$ K& b' P/ X5 W4 Mlet sum-time 0
1 |2 [$ ], ~/ c% T; G5 x5 S0 swhile[i < [trade-record-one-len] of myself]
d7 K$ N) E( V[$ g! o1 k0 [2 T" |8 n9 `9 J
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
$ q: y. B" G y! f* hset i- _+ g. ^9 `5 M1 ~6 y& P
( i + 1)8 F5 ]1 i: L; V! O1 `; f) C/ Z
]
9 |4 m( ]8 }4 Plet j 3; |1 f/ _! R3 T. r3 c, {
let sum-money 0
2 l* Y) K* n; Y# ?3 Y8 ?2 w" ?while[j < [trade-record-one-len] of myself]* w: f( h8 V, E$ b) s
[- w2 [+ e0 q9 y3 @$ d- Q% U/ E
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)2 A% `8 }$ Y, G# h( A0 n
set j6 h9 k' b2 _2 q
( j + 1)' B9 m; I6 v8 H" i+ x& m8 Q" R
]
' Y: Y4 ?8 i* l% x6 F: glet k 3 U% ?3 B9 _0 ]5 `. w, ^0 I- C+ V
let power 0. {/ E8 _9 l4 e( w; w3 }
let local 0
, p0 k/ p% \$ o2 |& m; y2 {' c; M: l% h! Xwhile [k <[trade-record-one-len] of myself]
/ L) ~) {7 |* L# L[; B! s) b: \. ]' s+ F; t o
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) + F0 X' f' w& r! H
set k (k + 1)
1 F4 n0 c4 _! ]- F% |]
" |# Z. E1 E1 l' [ }5 Nset [local-reputation] of myself (local)2 s+ X' `8 ~! Y* J( L
end
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to update-neighbor-total* k4 g6 Q) K: E+ |
1 {2 q% B- c: e5 o3 ]$ Nif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]- n; Q2 ]; @% q+ n* I: {
8 p1 m" y& ?5 {! K" J+ e, Z
% x( l1 J% l4 i) q7 T9 F3 ?5 l5 f$ x
end7 x) ^& i9 Y$ Z
7 N( x" d1 c8 k) q+ S9 X7 j
to update-credibility-ijl
9 R$ r* _5 Y6 q5 T1 Y5 g4 M* Z. g! o3 `9 Y
;;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。/ h0 r0 i* I5 C2 _5 `& Q! D
let l 0
3 z7 ?6 p% z' Q3 m$ l9 B3 gwhile[ l < people ] X. R- Z; \1 N. D: C! r" V7 S5 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
, v+ n/ h1 p4 Q4 }, O* L& {[
* {( A7 N4 W8 s3 N* x8 v& k0 x3 \ v7 [let trade-record-one-j-l-len length item l ([trade-record-all] of customer)7 @ X1 t- [7 Q3 W; e2 C8 B
if (trade-record-one-j-l-len > 3); p- v( [4 t; ~1 M! T7 J
[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
: B: b8 g+ l0 u) z# Wlet i 3% Y+ }5 k |( L3 H$ V( i
let sum-time 0
0 k; b8 s6 r h0 jwhile[i < trade-record-one-len]
9 q. f" y/ W! D+ n8 S( V[) m8 b& Z/ } `( C
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
. T* i6 \- C, y& e7 [8 ^set i \2 B2 V4 F8 C$ A
( i + 1)
' |+ }0 K3 ?4 M& b# L* a, A) ?) ]]: b" A/ ~7 i# ~. x
let credibility-i-j-l 0
/ u! j8 b/ K# q% J- N;;i评价(j对jl的评价)
- `: D7 t8 K& |5 Flet j 32 c3 q v/ R4 K) Q8 a
let k 4
0 u% A8 d) h1 Hwhile[j < trade-record-one-len]6 H% R; M t: b- }8 N8 G1 X; `$ T& U1 N
[# v8 H8 {4 ^# K
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& W& k5 z2 H9 ^& [: ?: Z% O
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)
4 Q; \- y( _ S0 T1 t: i0 {set j4 M, }' M1 ?3 L' R) l6 @$ ^3 D V
( j + 1). F8 X( @0 v# _
]
( g+ C& W! w+ l; G/ Z' z5 zset [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 ))
' ~, d9 Z1 I4 d) M8 m O5 C9 R4 k! P. z8 ?% e
4 v% d$ O( O8 x" l& {let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2)), _- j* S% b- _) ?- s2 w9 ?* \
;;及时更新i对l的评价质量的评价1 g1 |2 \" z J
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
* ], z+ I' m+ [( t. |7 r* Tset l (l + 1)8 b) D! [/ {2 P. f; h+ f
]
! V4 k* Z. m* I# W8 N! d5 Qend
/ ~1 b2 x) i, L! O3 Y, x3 ~8 W( g; ]4 Q- w i% C& F
to update-credibility-list
( H6 y1 e. {: ]5 A. ~. k- C) ~let i 0
+ Z6 [0 Z. t, D7 [% ]6 Uwhile[i < people]
7 x: \6 R; f, ~9 r[* p8 B# q7 P% O# U8 }
let j 0! U: [8 @+ S. B9 b3 _8 U# K2 u8 S
let note 0# Z- j1 V9 G! ?
let k 0
T. ?+ w2 H8 @: M4 s;;计作出过评价的邻居节点的数目
. V8 ]! w& c9 {$ `while[j < people]
( ^# B; p: x: I6 B* ][
$ e/ Z$ u' B% l; N; Vif (item j( [credibility] of turtle (i + 1)) != -1)
& k7 V/ J5 @2 ?;;判断是否给本turtle的评价质量做出过评价的节点$ `3 q0 Z% ~; N! R+ g3 \6 J4 Y
[set note (note + item j ([credibility]of turtle (i + 1)))
3 H) O- ~. j# n$ S8 y3 ?5 z7 C: W. g;;*(exp (-(people - 2)))/(people - 2))]
, M* i% y. r$ b' w+ O- m# bset k (k + 1), L* d) |6 s) Y- i' p
]
6 j6 g4 H8 m3 [set j (j + 1)
$ D( `2 }+ y8 s" _# r7 t% ^]; l5 u7 C+ b( k& b1 I4 Y1 |
set note (note *(exp (- (1 / k)))/ k)3 P, z0 y F n; o) J- a6 q( d6 B
set credibility-list (replace-item i credibility-list note)
; g. K- D4 `* N; P& Q" s& Uset i (i + 1)- w! }1 E6 |6 o5 s, V+ }
]. m; G7 S# I" F6 j
end* ]+ ?& B H$ _7 s% o0 I" _
/ Q3 c9 j3 q9 f+ M6 K, U% K
to update-global-reputation-list
% b$ u+ l' x) R/ Olet j 0! ?3 x$ _! i7 M) M" z; ?7 S3 X
while[j < people]
" u' w4 }6 R7 S( [* S[
; H* n2 K+ ^ olet new 0
0 a: U* l$ g# e& ~;;暂存新的一个全局声誉
' t! M( I5 k' F, C7 S1 C9 Q% Mlet i 02 ^0 f1 T; P( j+ L9 ]! a' F
let sum-money 0
. f0 C0 p N: \1 t! g4 Rlet credibility-money 0& q, c8 p- |$ K3 V0 E
while [i < people]' r1 Z( V6 f3 \5 [& j
[
, K4 f8 M% D. W. Eset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
l @! x5 L, r& H9 `; Oset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))7 d* M2 w8 d1 y4 }/ y
set i (i + 1)
$ z) S1 e# `% q]
9 u z1 T9 d3 p1 L( H5 c6 tlet k 0
8 N( n ]4 h, j7 r. ulet new1 0
4 B+ d) a6 N" l$ s4 _0 {6 Rwhile [k < people]
$ p2 K/ S: {4 J% {$ f% v[
# @* {( }3 P tset 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). J2 P, d& j$ h% E: U. V9 g
set k (k + 1)
- Z+ s5 g( O% r; I]" U2 C% d* b0 a1 z6 G% |5 q
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
3 s7 _7 ?1 Y X; N6 E+ h7 |set global-reputation-list (replace-item j global-reputation-list new)6 C; ]5 S" ]1 l+ N' p8 W
set j (j + 1)
- K5 R W J3 p* R8 B% E$ c7 k]
! B1 p8 E" I7 ?6 A8 }end! C. b/ S7 k W f. Z( a
* g7 u4 T" @# H5 k( T( X
, |4 t' J+ c F) ^
8 |( M' v6 l5 t) \1 q+ N* D) _
to get-color( t+ d# X: M* _# A! G
! u, I: n( x/ Dset color blue: T9 o. c9 C' k, w
end
# Q* `4 b' S0 C6 @' y5 G0 j2 T: u; }
) J) E+ e# |# v8 z+ I7 }to poll-class
4 K: L6 F9 M$ i0 s; Kend
( t, {; C& w8 M
2 G& R: S1 B- q2 Bto setup-plot1
% m8 f5 g7 I# b- [2 c- z! |& |# _8 ~1 _9 m" a' X4 E
set-current-plot "Trends-of-Local-reputation". W- q6 G) N" A% c1 J' ^8 O+ z6 x
+ v2 q3 j S- f9 S
set-plot-x-range 0 xmax. B5 U& S' }* h& d, h
6 L2 W$ f u8 f6 Y) ^
set-plot-y-range 0.0 ymax
p1 x- Z& k) W: i5 b, W9 Hend
( g5 u6 E9 ^1 U( G. _* o- n* M" u7 ], I! D8 }
to setup-plot2& H4 K/ e g' X$ l5 b) G
$ o: F2 }: \- ]! M
set-current-plot "Trends-of-global-reputation"" D2 }" _- z$ X
3 G9 q- q& u: P( _8 v2 |set-plot-x-range 0 xmax* C, _' Z, h" X# {
7 K' y' R$ s- L7 N4 zset-plot-y-range 0.0 ymax" V L, t5 O" u& \8 \
end
/ f, I0 A$ Z; J- _+ ]! P1 l
d5 U! T0 ^6 G' q% }/ n ?to setup-plot3. A4 ~( c1 [0 p& ^1 n) k
9 M) w! m7 w4 l% |- O4 v0 ?set-current-plot "Trends-of-credibility"
3 E( G2 Z- k$ U/ q8 i
; _& m* a3 `7 H" K7 Cset-plot-x-range 0 xmax
! H5 C/ ^9 _' Y
; h u4 }. v$ @2 _( h7 f Aset-plot-y-range 0.0 ymax
- R2 u0 W2 d6 @5 U! m: |3 x0 aend% d* M9 O( ~& h! Q8 W
( z& O6 l) [! D# D" i$ J7 W# u( G
to do-plots7 }$ B4 ^1 T- `. ^
set-current-plot "Trends-of-Local-reputation"
+ l: ^/ i! J- T2 u6 dset-current-plot-pen "Honest service"
2 b |$ o* D2 C6 R: Yend
) Y6 Y9 w3 i3 [/ W0 Y1 y; X8 R1 n9 [
% J4 Q2 A2 ~- o# h[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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