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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5 L$ `! E: t, ]1 j
globals[
" ?9 O! f9 G5 h7 r- z4 ^xmax
3 y& [9 v6 ^/ y2 K" P1 H, O6 Fymax7 N3 v7 T1 I7 w8 c( l+ }
global-reputation-list9 {/ W7 g' e$ S, ~* |) r
9 z" p. D" V) X5 V;;每一个turtle的全局声誉都存在此LIST中
1 w$ N/ C3 L( c3 U( Ycredibility-list
4 d% T L2 j9 u1 A( S7 v, };;每一个turtle的评价可信度
( ^2 V$ l+ d9 ~' @honest-service4 O! ]* z4 g) |
unhonest-service) G$ X0 U% n4 X: r7 p
oscillation
7 z, t; U) W( u [* i8 Jrand-dynamic7 [1 [ o, f$ X$ ?, T- | s/ y& u
]
! y% @5 W3 H% N" [0 a1 K
+ T" s3 k- i& ^' D. K, fturtles-own[
+ d9 W }6 ]; ?7 V. g9 H8 q: e$ Wtrade-record-all
" s' L0 X8 s7 [; u9 \" P6 h;;a list of lists,由trade-record-one组成' e) @# E. c& e& Y$ b: q/ E) A
trade-record-one
' w0 z. R' w+ D# C4 p2 l;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
, ?4 E. X6 t6 O/ R: I8 t4 i
2 l% q$ }6 F8 ?: E6 r;;[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]]
& X1 u/ h- n3 f+ Q K! A% t+ A& \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]3 f3 g) h9 _1 K! N
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list9 K: o6 b' o( \& k
neighbor-total1 Y6 i8 H& G3 P2 V0 H
;;记录该turtle的邻居节点的数目
& e1 n! j# J# l0 S. ?+ y: Utrade-time W( L7 q! {/ f( }0 X
;;当前发生交易的turtle的交易时间
, x) i( T. o8 c# K4 J0 |7 Q6 ?" rappraise-give
7 ] I7 e k7 K( m; f;;当前发生交易时给出的评价. \" Y1 L/ Y3 [+ d3 w
appraise-receive
# I( s8 X4 w2 M8 y6 N' X! ~3 B;;当前发生交易时收到的评价' \2 w5 ?% h/ ]- o, q
appraise-time
! r( i$ |' P" f9 V* K. V& _;;当前发生交易时的评价时间- o& |% Z/ q+ R& l# x* o! ~* W: w
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
$ G" @3 b+ L, `5 [# ttrade-times-total
: h1 Z9 I" D9 ?;;与当前turtle的交易总次数0 z2 I& k/ x. S
trade-money-total
% ?4 n6 b: v/ c9 S# E5 n8 B; o. ~;;与当前turtle的交易总金额1 t) k% m4 ?/ ?& }# v# }7 v
local-reputation
$ [/ g5 s, ^5 e* K0 ^* R: `7 Cglobal-reputation& h" P, O: w( R/ a
credibility2 F5 i& ~( ^4 q" W" R2 S5 R
;;评价可信度,每次交易后都需要更新 k# P4 @+ ^- M* D0 i6 d
credibility-all
0 Z8 F' ^( \2 f; M a+ g;;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 O* o$ ^/ B) i9 q) F: y* B- @& S* M5 S
;;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0.55 y7 s4 O A8 X- R, O. T1 j3 k
credibility-one: B' F/ Q6 @: J# T V0 m$ C
;;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" q' `2 J/ b9 r/ P0 t R& z
global-proportion
6 ^. K) v2 X" R9 f0 y( ~* b9 pcustomer
]* L+ X- V" [% y3 [& ecustomer-no- K% j4 x" n/ h8 m7 p% w$ x4 _2 t
trust-ok# L$ y0 @2 z' Z
trade-record-one-len;;trade-record-one的长度
+ C4 l% t8 Z* H! \) y2 m0 O]& Q1 U0 R1 k0 v. v' ^" k
% W) E" `1 q( r, r- @9 [6 ~' k
;;setup procedure: @3 I; [: \; e' y# f
6 d( I1 j4 n1 [) H4 ~6 L5 pto setup
9 O& ^5 h7 `% S; p3 {: a) F: O; S5 N% k: m' ~9 R
ca
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: w+ Q- J) H7 c$ W( _initialize-settings
3 g; c1 x: ? h7 a2 u" ~/ n* J2 c5 y% p1 X1 e& E2 q) Q
crt people [setup-turtles]7 i. t7 T& F- n' ]
# V# q! A% g* s6 \; e
reset-timer
4 W! x4 Q- I1 Y w) D: W/ d: m- S' P( {
poll-class
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setup-plots+ S2 Z8 C* x1 M: C; X3 S! @9 K. a
% f7 B$ d/ Z& a# Edo-plots
" h0 I7 P% z' g) M" Z8 I/ v# F) uend
/ a7 G! s' Q; v' i: @ F$ R$ j+ |+ s/ P8 i" q0 k, i
to initialize-settings( _ W' c' L$ M- J4 e/ J
$ i% k( `5 |; O5 a( Sset global-reputation-list []
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set credibility-list n-values people [0.5]
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8 w4 `5 L" ?* U7 I. |' M! uset honest-service 0
Y `/ @& G9 Q; Y: B3 ]! g) a
, b( o) j) Z( t: m2 b! r$ d( G5 Rset unhonest-service 0
) ^5 l6 K! ~5 e3 s! A
$ t- Z' K; P) e4 m3 F) G- Gset oscillation 0
% J5 \) y( H" F6 W; g o) b* D1 v: o/ p0 ]( r
set rand-dynamic 0- u4 h) @: K% w- r
end
4 w& ~. Q* o' S% V7 |- \
$ W. S+ S: o! @8 ~: ]& H% Fto setup-turtles : A* u! T5 t& t0 _* ~) f* p( g
set shape "person"( e4 q2 v# x# r% w
setxy random-xcor random-ycor0 J4 d% r0 [6 z% _% F B4 I1 G
set trade-record-one []
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set trade-record-all n-values people [(list (? + 1) 0 0)] * Z' M/ s/ {9 G5 [
5 z5 O1 N$ i5 `5 o! Zset trade-record-current []
! R# u5 H, _* G1 i0 h) w4 pset credibility-receive []9 j9 c- P% O( j, G! p
set local-reputation 0.5- }) @2 C+ B1 i% A
set neighbor-total 0
; I1 |% G# y+ ]( V, X% g% ~set trade-times-total 0
9 D* T, _! U6 ]/ u0 k; zset trade-money-total 0
6 ^9 Q7 Z9 @* e1 M1 Qset customer nobody6 P, t9 |% _/ T
set credibility-all n-values people [creat-credibility]
+ F5 T' c: \* R- F4 tset credibility n-values people [-1]1 Q. G8 X4 ~. ?. y
get-color
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# w& u; r2 Y0 @6 @, oend
0 p4 E4 F5 Y* K) B* Y3 q
8 E- y: J7 v; ?' C: C6 W% Nto-report creat-credibility, K) f. D- O, I9 [/ _
report n-values people [0.5]
" w C/ b" r8 U( I4 ]; _ cend! F8 b; h5 l: c9 i
' `7 d( W0 [) h7 c# |8 _! G
to setup-plots
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set xmax 30 K' y# o: p; y& n- h
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set ymax 1.0
6 M: a3 E2 N% B q
4 K/ e. Q( L: ]5 X9 @clear-all-plots
' _. n5 G" \) |3 i3 y8 M
0 e* ?) x* z2 T# B1 P& \setup-plot18 ^+ ~) Y3 G! s1 W/ Q( {) t _
+ ^) W4 B6 Y7 b$ f3 T
setup-plot2" ^7 a) X7 }" J" a+ \! i
# y3 ?) B6 I. d: n0 nsetup-plot30 ^! b X$ Y3 E4 C
end/ Z& n. B+ F9 w6 l0 J
, ?2 E& l h( x. L; Y1 ?) ^" U9 c7 ?* h
;;run time procedures
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$ d& a6 Q, y- c- B& `to go
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2 q, o3 v1 D9 _( Uask turtles [do-business]8 E' n9 Y9 C6 E0 X! a$ W. S% i
end6 M. T' Q6 M' L# b8 a6 L
2 i) w: S# x* Lto do-business " ]9 _3 g) i: M
' J( M6 y4 ]! S3 I, H4 }( ]" B8 F! s4 N& E7 v p$ G) P
rt random 360% S, N3 E3 L' v7 D" r' q s$ `
* K" n6 ^) S. I# y3 E1 W
fd 1# W: d5 j& _! V: q/ |, I7 n2 k
3 \, O8 r0 K. G4 O4 [. _ifelse(other turtles-here != nobody)[
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' K- l% x! [+ U; p, w7 J6 tset customer one-of other turtles-here
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1 |; E$ ~ \; M! y;; set [customer] of customer myself. L; \; i9 S3 p2 A5 `
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set [trade-record-one] of self item (([who] of customer) - 1)
; H! ^% @1 r6 k& q[trade-record-all]of self
* h9 B: K; d/ y;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self G4 J8 m7 f' Q& `9 v% K: J6 @( d4 h
+ }4 X: |3 O i( z- y0 m; e% n
set [trade-record-one] of customer item (([who] of self) - 1); c: r7 c' `3 k. E
[trade-record-all]of customer
) x$ L y% z- t% u9 B
- R$ t0 D% k1 ?8 O' z. Dset [trade-record-one-len] of self length [trade-record-one] of self
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# U* A) y2 }4 R& }set trade-record-current( list (timer) (random money-upper-limit))
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ask self [do-trust]4 n/ J8 f; ^& V0 [2 X4 L
;;先求i对j的信任度
9 c8 E# M s; R' \3 c
( [8 L- w" S& C+ gif ([trust-ok] of self)& c. S0 j9 x, N
;;根据i对j的信任度来决定是否与j进行交易[
n% X/ E7 `4 }' }4 b. y. ~9 n6 dask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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/ l5 ^$ s/ Q4 j% t1 z9 Z0 f% N[
* z6 l( x2 G6 Q/ X0 M8 W4 l9 Y: l# M- z: {1 [
do-trade8 q7 u8 x1 P2 L3 e4 r; `
2 I3 ~" d3 G( w% X) Q
update-credibility-ijl3 T4 B( l' ?0 F/ A3 A
* T" P+ C# K% v' J6 i# Zupdate-credibility-list
" i; I: f# ^' c% G9 @- \* T0 m
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update-global-reputation-list: v7 v. l4 V, a- U
! M6 Z2 Q5 O7 [1 [
poll-class& @6 O9 J- v3 Z' D# u! |# \
- {" B; i. G, G' }) [% ~get-color
8 |* t5 H! ~8 W3 z; l J% m$ I
+ X7 H* g8 m! h! w; Z; n& [! \]]
* I/ I% \8 ?% a) M& `& j
8 ~' c! R0 R0 u;;如果所得的信任度满足条件,则进行交易
- H, [* Y6 _) n* W5 p- }9 U- q& T% G. A! z' K. j
[
2 }+ b( o/ ~6 c) v, B- w x
$ q: Q1 p6 c. Y& W2 J$ }! vrt random 360
, a, H6 i- B: X* ^! C- G- }7 Q" Z$ c# H# _7 v
fd 1. _9 c% \5 H/ u5 W4 {* k
5 ^( {" N! P! e( h]
( O0 S( ^8 B, J( r7 _0 r7 E* g/ v B* R, c# S, c6 V
end
# I0 @" f4 X" {- j
& M4 q4 w/ W* i$ ]! Nto do-trust ( Y# v+ Q: y1 \9 ?
set trust-ok False4 t* o, T* y( ?3 L
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let max-trade-times 0# y- o' L7 G" I1 |0 T' j
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
6 M6 e# `6 n& e) B+ o: Blet max-trade-money 0( z+ C5 N5 |, S3 I9 q- _; E
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
9 K6 n- u+ a& F3 Q3 e" Tlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
. c7 N& S4 Z. o' F% R1 ~2 X
( O. W5 O A2 |4 b5 L8 U u! u1 _- @& E# |- h( p
get-global-proportion
) E& G& ?# v7 j5 R2 ylet trust-value/ J" O7 r" Y& s% ~' k8 }6 _
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)
& W6 |6 G9 [6 I1 b! xif(trust-value > trade-trust-value): _6 B% _$ @, n9 I4 S
[set trust-ok true]
$ Z( O0 Y8 q7 N$ ]4 \5 C+ Tend$ e, j" v( F0 ]5 x- p- Q G4 p
$ F8 q! \2 w1 s' z/ E% V! N. J
to get-global-proportion' s J$ {5 ]4 Z5 c
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
, G& R/ ], y+ g$ b/ L[set global-proportion 0]
; z8 D8 u) |2 e. n0 o[let i 0
. D( L% _$ G% s" Q: elet sum-money 0
4 j9 m6 @& q$ _$ X& Swhile[ i < people]
- i3 S7 G- I& o* y[7 l3 {6 S; ~/ M3 b$ o
if( length (item i
( I; g3 p0 k4 R1 v0 y) @[trade-record-all] of customer) > 3 )
3 m3 W5 \) c, H, e- {- b[ z( ]9 P! h8 h; K. \3 v
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))5 `# ?. [2 F# O6 W1 A# H' _
]
" [1 O, e9 g: s8 t4 r]
& a( B- f) w' K) K) j% glet j 0) }/ ]# E y" A. N
let note 0
1 t' l: L8 R! f0 ~ Ywhile[ j < people]1 m' w& i% g% a6 N, r
[
- C; X: {4 s' Q, hif( length (item i& Z- B, C6 d( D6 B7 s9 _ I. d: G
[trade-record-all] of customer) > 3 )' t0 o6 C5 Y. V$ [
[* [5 ~% L5 y; p. _+ j2 I% p; R! P
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
' y6 R/ i1 D) n+ {& c! o9 l[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]; C& y1 ~$ E) H8 Q. n1 M
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
@1 `* P+ z1 V' z]/ }" J% e4 z9 G
]4 `* A: M* s5 Q
set global-proportion note
% x) r: T! s& t* V* l]2 ]2 ?8 I8 i& y+ @7 }% y
end
0 Y& ~9 o( s! [$ N: x& f% Q
9 L9 w3 f7 c1 ato do-trade
& |% K; ]4 p$ D;;这个过程实际上是给双方作出评价的过程% ?" {# E/ F$ [
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
/ t( w- Z* i3 E) D; }: `- f0 ^, Gset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价) n, ]& q! M, Y
set trade-record-current lput(timer) trade-record-current
9 d) @5 D1 _8 F, ^2 R; M;;评价时间
! {+ A' Q+ T# ^5 }. o+ G3 {ask myself [
E- K& W6 L. x% |2 Vupdate-local-reputation2 A% q" P! k6 n
set trade-record-current lput([local-reputation] of myself) trade-record-current
% L( v( `' w& ~; {6 ~0 c]
" R' r" |# `% y6 w! u' eset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
6 f$ I6 V# L- c, }7 T& P- F;;将此次交易的记录加入到trade-record-one中+ [! ]' z. o1 M6 G( g
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
5 w2 }* m5 E, ~% U2 k; s# Ilet note (item 2 trade-record-current )
, }2 U' A3 X$ dset trade-record-current) a+ J, h: M8 u8 N* P
(replace-item 2 trade-record-current (item 3 trade-record-current))2 L' Z* q! G5 V9 k6 O) }
set trade-record-current
; c( ]- B0 k2 i6 {5 t(replace-item 3 trade-record-current note), @1 Y) Z# a$ N+ E. n0 ^' d% o4 u
5 K' b9 {* t, Q! K
2 T% V+ S1 O7 V. h, \/ ~ask customer [9 S, e, i1 J! R4 c
update-local-reputation
' L0 U, {7 d% G) v5 C6 r" nset trade-record-current& A( S7 _ Y' C
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
& Q, ?* I* e7 C4 {: i]
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0 |" \ X; r* a7 I1 Sset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
4 C& Q' a( L* P B6 E. U' R- Q" H6 i0 e; I/ D# J: }
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
! N4 k" G/ O K;;将此次交易的记录加入到customer的trade-record-all中
( B5 p, N) H/ A$ O' ^# {end
( w/ ]; a) F e8 y j2 ^$ B% b
/ c" M! V7 K( F( R0 v5 Y5 g8 Zto update-local-reputation
5 r8 n9 |+ x) W# W' L' kset [trade-record-one-len] of myself length [trade-record-one] of myself
% |/ j6 C$ x2 @6 D% ]1 `7 B+ b/ I- K/ ]0 T3 R. s: H% V
; m* q3 ~& q4 G9 d) K( N" |
;;if [trade-record-one-len] of myself > 3
6 a1 ]2 L; T% ^update-neighbor-total6 w+ C2 B* d* \6 y: y2 c
;;更新邻居节点的数目,在此进行
& [& N7 ` @2 [- y+ y' s( ]let i 3
: N6 }# b3 a$ B: j3 llet sum-time 0 X P; t, M) m2 J: y6 y: E
while[i < [trade-record-one-len] of myself]
9 }* h. F1 |2 m' C& Y[5 a' o7 ]) d3 }
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) ). A. h; U0 i$ v# |$ V) {
set i
, b6 E3 Y Q4 k( i + 1), E+ C$ B: w, U2 M7 X: X
]
6 f6 _9 k ~7 Y+ U& ?/ N2 F- g' E6 ^let j 39 M8 A( B7 q# N7 z
let sum-money 0! ?4 U" e. r# X1 N. K4 S9 m
while[j < [trade-record-one-len] of myself]1 b8 M: ?$ ?6 n+ j
[1 }1 B% e3 V2 ?) o6 `& \+ x( d
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)
( y7 w5 x& t$ L8 S3 Pset j1 t) g) K3 G s& n2 _
( j + 1)
2 c& V0 v/ L/ o9 C]
4 M' \) ?$ a/ q/ s% x2 B# E* h0 g0 [let k 3
) Q7 o& `4 F. k% K! Q4 z; O9 K1 R4 Blet power 0
( |, o+ z- z2 @/ Q, k% ]$ Klet local 07 l& X& G5 m z9 m' J
while [k <[trade-record-one-len] of myself]9 J; W8 L" A2 H9 i
[
0 R$ |& e4 C' @' @3 c/ Dset 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 S" o- [9 p; X
set k (k + 1)
4 w) h5 o+ M2 I, U7 r2 y]8 P, `! D& `9 V0 V
set [local-reputation] of myself (local)6 d6 b$ c4 u2 e6 F0 M2 }" U& S
end0 }# U% B& z7 ]1 ~
1 o. i' _3 ~1 P$ w& j
to update-neighbor-total; {4 @: d# s) J! U1 D1 I) }8 z
& R' x5 Y7 P3 |6 g% w/ H4 b5 Cif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]- Q# x0 u1 {" f2 e
|- [+ ^* g" g6 x* Q2 g3 w4 [
+ b! A8 K/ K# Y0 J6 L( H
end
l' S5 U( B! l4 A& R( {# }5 }: A1 M3 V- f- I
to update-credibility-ijl 1 p" y0 Z) U3 b7 V9 K( i
/ e; ~/ r1 U$ W; E1 D;;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 s1 N# n1 c' Q8 n5 h ylet l 0) U! c9 } ?3 l. b
while[ l < people ]9 b2 ?' ]/ P2 K) 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# R! l9 i8 f/ r0 f
[
$ K! W( T& r9 z; [- rlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
) ]0 Q& M# O2 K) o% T* ^ y# iif (trade-record-one-j-l-len > 3)
7 F. U: {" \+ c6 i0 K[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
6 ?; N* T( n! H' O L8 F4 R, vlet i 3- |' U" v# p4 c' |4 G
let sum-time 0
+ R9 @5 U2 S# hwhile[i < trade-record-one-len]
8 L4 L8 x+ x: G' V* `0 r" q; H[5 S U' A! n R
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )+ l Q4 v: T0 O0 r \2 \! c/ C z, i
set i) U# ?2 {8 W. _0 p" G
( i + 1)
% V$ P# H c4 Q H]
' \3 U. G( ~ y" h6 Llet credibility-i-j-l 0
# N6 ~. R: O6 T6 p( G) \;;i评价(j对jl的评价)9 _- A3 g( O0 g9 u% U8 \
let j 3, }; q/ L/ X6 w0 n
let k 4
# x- e7 d4 s# r& Z: S' ewhile[j < trade-record-one-len]
P) I1 U# Y, Y2 y9 B( `[+ v+ Z F+ E! n& j! M( 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
: Q& f7 R# a$ m8 `! J3 ^; kset 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)0 c, Y+ t6 s7 @3 D- ^% m: q5 H7 \
set j- r1 J6 c) W8 s$ d3 y; N
( j + 1)) y( U: ^4 L; Q- J4 F: `
]
- S1 D( c& \6 B; Xset [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 ))8 D: e. [+ c7 `- g. c0 Q
6 g7 X5 _" x, v; ~6 H3 a
. [# g, |: u3 `. N9 W: u7 ilet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
# h' Q- x! n1 _8 O;;及时更新i对l的评价质量的评价
% Y1 g, E! R2 P6 zset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
: R9 `- h/ _# t- n+ mset l (l + 1)
, R& v0 g' Z( L3 L6 C+ d4 h! G]8 B' Y; ?' Q4 [
end
* w6 C0 z% q5 ~" {
6 g5 I$ u2 u6 E/ ^to update-credibility-list: N6 S' D' B: \! M, ]* j+ B' F* n
let i 0
7 F7 z6 T1 V! X8 `while[i < people]
$ r* r1 j3 M& h, Z3 Y1 l[# W: G6 k! ]1 E3 s+ G& ^$ a
let j 0
* F( K* c: H1 E* H4 @; P1 a. X# Flet note 0
6 w+ g, K, f) Elet k 0
$ L4 Y( N' r1 @7 d6 m2 i8 c2 ?;;计作出过评价的邻居节点的数目+ H; D0 c7 I2 G. R7 X3 Y1 m
while[j < people]
# D/ H! |' W3 E0 Q( I[% m8 c- G# s3 D- h i! D& Y
if (item j( [credibility] of turtle (i + 1)) != -1)
6 z1 C1 d6 {: R;;判断是否给本turtle的评价质量做出过评价的节点
7 @ K% \" f/ v6 j) ?8 J[set note (note + item j ([credibility]of turtle (i + 1)))
; u) R; M: Y1 s;;*(exp (-(people - 2)))/(people - 2))]
3 H# D: m+ W: a# S$ Eset k (k + 1). u0 c& P2 Q$ D8 u; X) ^
]5 }# V( O& B' s! ~& E3 f0 D
set j (j + 1)
- g4 T* h# ]2 v: D+ n, f]8 L: G/ f2 ]2 D$ K) p, q
set note (note *(exp (- (1 / k)))/ k)
% a2 H4 A' |, W5 O9 Hset credibility-list (replace-item i credibility-list note)$ ~$ G! V* I( z
set i (i + 1)6 C( y4 q% v* ~7 G
]+ o7 X0 N4 x4 S ^
end
* p. E# ]- q% V2 _0 m
% e+ c" x, A& y. |3 e0 gto update-global-reputation-list4 f# K, ^# q) b7 u0 ~- E
let j 0, _; f- s- x0 z
while[j < people]; `! @1 h. T( k) p) r& M
[/ D" l9 x& U" ~; W: V& S: [. ~/ ^
let new 0( M$ d$ B+ T! B ?( M- p
;;暂存新的一个全局声誉' N' M, t' C3 L9 M1 h% T
let i 02 k. T5 [8 ~- M; h/ a ], n9 Y
let sum-money 0; }3 Z- T& q+ V) L
let credibility-money 0
3 d2 p2 y6 y3 }while [i < people]
_0 Q: L) D' }( v0 T/ y3 I[, ~. {: G3 [& w; U# C* f: Z1 A
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
% s6 z/ n& f; U- Q( fset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
$ @: u) N$ s) t0 L: P( b- {set i (i + 1)2 W0 b# e" `7 I7 W# x4 J3 r
]7 X6 W8 m8 \/ e
let k 0
* o( u6 f8 p0 ~: plet new1 0
z# i w; o$ Kwhile [k < people]
& ? A" C+ f* ^1 |' f[% h+ B) f! J8 _; q$ t' x- |# }
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 g! g/ i K4 v6 |) i. z
set k (k + 1)
# x# S5 q, W1 A! e]
; G' _; w2 o# i) z4 E' F- {- v" \set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) ) c& d6 Q9 p; C% M* c1 w4 v' k
set global-reputation-list (replace-item j global-reputation-list new)% h t9 H( E' C N
set j (j + 1)2 J5 i8 b5 i/ V( c$ A
]4 k+ m: R$ c% D' |" m
end
1 B5 ]$ R6 I- m! V
i, R1 w1 o: {2 D; g
+ w( }- @# b# Q; e+ F' Z0 t `5 r3 A/ x7 E8 t
to get-color
; @& B7 r! E5 k2 W* ]4 v8 h+ X3 k0 X- s% n
set color blue
" j, F5 a8 ?, a4 gend
/ ` G6 ?. j! ~. b# ?. q! x: M) b
4 {% m, e. _; z2 Y7 Zto poll-class
+ n( g3 X7 I# V$ z4 K5 Hend
% u% @7 Y2 A- {. e9 h6 q% ^$ ^$ M7 w6 v9 P0 L
to setup-plot1
9 a; w! `% `3 [1 ], i, |. o* u
. C6 _) _- |& u3 y; M7 ~6 V" sset-current-plot "Trends-of-Local-reputation"
4 C( I6 ] x6 R/ Q% H1 h ?9 P: O* r% I2 I& X; x4 [
set-plot-x-range 0 xmax
: Q2 N& k& O, r" u: ?- {" W$ N, l
set-plot-y-range 0.0 ymax2 |* {( r1 D% O2 b
end
" E' ?5 {) Q- {' X: [$ t; t9 ]4 R* F% {! H( T
to setup-plot24 c/ p5 B) C( T2 }; t* K# U4 a
8 a) f0 G! u, h& Z# hset-current-plot "Trends-of-global-reputation" M2 M' G/ O6 T% H+ t& o1 l3 L- t
& \9 c3 z% t. K. B {% x( Hset-plot-x-range 0 xmax" o" ?8 i2 ^+ }0 U8 P8 z3 A7 J0 w
/ u7 N7 u u/ N. r2 u$ p1 C
set-plot-y-range 0.0 ymax: j5 N3 s' c* a! ~( x: D2 M
end
$ g. a% B, L& M/ _9 s* Y/ x
& d; r- u: x* x' f* `; Rto setup-plot3
) ^! W2 Z \/ z7 f" i9 I0 a3 F* [( Z, u! _, n
set-current-plot "Trends-of-credibility"
3 M" g6 F7 b; \, b' o* c! O$ _1 l% n4 L* |2 y2 j# l- n
set-plot-x-range 0 xmax# }- Z1 v& D! A8 Q- T4 Y
8 ]! W) w0 l9 }1 {
set-plot-y-range 0.0 ymax
( c1 O+ i$ K! C ?) d7 x7 [end
5 @* n. o. l3 B, R6 A! |
( Y3 H) n1 @) g1 u. g& ]to do-plots/ _* Q# m0 \7 g) e; z/ W/ q* O, g
set-current-plot "Trends-of-Local-reputation"( }6 v/ m6 h; n O& J, J Q4 {5 q
set-current-plot-pen "Honest service"
6 |$ t0 x2 ?1 R) u: Oend- F7 k$ e4 i# b& N
: z) ~$ z& w' ^5 i7 Y[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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