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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( P3 ]. T1 d# L# a( U k# a" \
globals[
1 O, g( ]# f( ^# _2 J1 q: l6 Vxmax
2 R+ ^6 k1 A% g7 e1 mymax/ Q( S0 J% V n m# {
global-reputation-list
5 C! t9 ^/ u/ x( O' W( }2 |8 j O5 @% B+ c- y" x
;;每一个turtle的全局声誉都存在此LIST中
6 I, V) R h" {: o Zcredibility-list4 ?7 J2 r! Y' ]8 r' @8 F, u3 N
;;每一个turtle的评价可信度% d6 V5 ?- ?( `$ V! w3 ?9 T
honest-service0 O7 y" y9 v0 D8 Z* P6 U
unhonest-service0 L3 t7 O# o8 o- Y' e# v
oscillation. O) d+ x1 w, r5 t* f. b) W( G
rand-dynamic, V, j6 G- b: z9 _2 d1 L7 G0 R
]! }1 {0 C4 x, ]/ `0 h
6 v" \( R8 F( N
turtles-own[
, m& \3 o; l/ v# C$ Atrade-record-all
6 \& V' t, ?6 I;;a list of lists,由trade-record-one组成
- X- d- h+ P# V9 P, Z, ~+ H) Wtrade-record-one; D5 F; R. _1 @8 Q% @- w0 T- F
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录' _" U- e k1 J3 j( T
# t4 n' e! H+ F) W
;;[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]]5 {$ M2 |; e- z% h
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]( H" ]# X* X6 a& K! O8 |% A7 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( l9 [6 }' \6 b
neighbor-total
6 j% I+ K7 @5 G, e6 I. g" M8 a;;记录该turtle的邻居节点的数目
( ], t p. F" w* H0 gtrade-time
u% }* M6 g+ g% ~. ?" K$ K;;当前发生交易的turtle的交易时间
* d2 A8 ?- |6 u: h; R8 \, eappraise-give* l% p$ P$ m9 M
;;当前发生交易时给出的评价9 h# p. o2 B. C; ]' W5 L
appraise-receive. G% a! q9 N. L1 l) h7 a8 P, r$ `" P
;;当前发生交易时收到的评价
; |) y* I9 R" R/ U# h' {% vappraise-time6 j% ?" Z$ w$ K0 j8 c w
;;当前发生交易时的评价时间
5 B' m8 h( b6 C s% Q, Y3 xlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
, K* H& s6 y" g, b! L4 |trade-times-total
- ]0 h) L; N' ]1 W/ G' \( L;;与当前turtle的交易总次数0 T- ~+ O0 }* y* J9 `
trade-money-total9 |1 D# }3 F" L& g: t! I) Z1 g
;;与当前turtle的交易总金额- W0 ?9 m% K- \; B0 M/ [
local-reputation
1 R+ K- K8 B' L. T7 N) ^) gglobal-reputation
* g: t/ a0 {+ r" Z' v8 C8 b6 ocredibility
+ W/ n; T( d& o* B) J;;评价可信度,每次交易后都需要更新 C7 c: o( q+ c
credibility-all8 T# D# a$ \9 y
;;a list of lists,由credibility-one组成。[[1对j的评价质量的评价][2对j的评价质量的评价]……[i对j的评价质量的评价]……],其中一共有people项,根据
0 f! V! X) F4 k5 t! l5 ]* |3 e; S* S+ n+ i& y8 J
;;turtle的编号对号入座,对于其自身的编号,在计算用到的时候再进行剔减,初始值均为0.5; \# `+ P c$ m& b
credibility-one- [: D+ v: a0 S; z" S- Q
;;a list [i对j给1的评价的质量评价,i对j给2的评价的质量评价……],其中一共有people项6 M, x' {5 q" A2 w3 a2 Q& I( S
global-proportion
. X$ P* _/ g8 p6 `# Ucustomer
1 l6 m" {% }' h0 q" `' |( p8 W2 Pcustomer-no* S3 i$ K+ A6 w" ~$ y2 b1 D
trust-ok
! p$ {; u4 `8 Y7 R1 ~9 B& V. wtrade-record-one-len;;trade-record-one的长度. c; @% [9 s; ?" L
]
* v' j! \$ Q, E$ ?) r& P \+ T0 {$ k9 C5 w' X
;;setup procedure
, R+ b# r( g/ w5 D2 Y
, ~6 ?4 J1 g' j6 G! y- l3 y3 tto setup8 e) w* z3 @1 k4 O0 f
+ V4 u2 ^0 V$ q. B2 a2 q; a
ca+ ]% k/ \) @5 v; r' Q
' s2 g6 ?3 D5 `. _6 _- linitialize-settings
7 k% z1 g' p) V0 u }) v$ @, U! _3 t1 w8 G. ]' {- ]
crt people [setup-turtles]9 S- j( L" \0 X2 X# {# \
5 f. e: v) ` `3 r( C4 u( dreset-timer
- }3 R Y. S* D% ?) m/ X7 @& y3 o6 P, s% E8 [+ O7 C
poll-class3 u+ N7 y/ U; A) M/ C7 z
- p) |+ w" z, `( dsetup-plots3 t4 p$ z! [- u% T: @
( i3 m0 U' a2 f) { m. R# B h6 n
do-plots/ u6 {$ o5 g2 V6 w
end6 g0 L; T/ t# o7 z/ b
9 A5 r( ~& v8 w$ [1 l* J9 ]3 B
to initialize-settings2 m7 Y3 h4 m4 ^! A+ ^8 }3 X7 y
5 H; W7 h/ y3 V" X
set global-reputation-list []
9 P( k/ m" X: S1 s" N- ]$ o0 C# j I5 j( y
set credibility-list n-values people [0.5]
' {# P% n* q. Z2 T# a
+ ?" S# C$ {% c8 R) Hset honest-service 0" E% u3 Q# L2 T1 D" L
* w4 ?) L1 u/ x; Q
set unhonest-service 0! ?2 o. X) E! E8 W- s2 y! L
5 m. L8 G) v# w3 Vset oscillation 0: i2 }: t/ J( K: j
. T; b4 k' v7 J+ F
set rand-dynamic 0
1 C$ c: N( |* Q$ W; {end
5 y8 U$ D0 R3 p3 f& {4 D( Y- S+ P8 W5 c+ W2 G1 x# i
to setup-turtles
^" v3 ]* v# {5 yset shape "person"0 N z' U b3 ?( r9 {
setxy random-xcor random-ycor* Z4 J) b4 N5 z; c6 N* u; W+ F
set trade-record-one []
5 p5 {0 e) v8 g) o
4 r8 o: b/ S3 q5 H6 ^. F( n+ X& Lset trade-record-all n-values people [(list (? + 1) 0 0)] + Y: x+ I" M. f7 u6 i8 ?( {
% ~# h9 x4 k: k. N: eset trade-record-current []
M! Y4 ^ o1 J' V( |/ Vset credibility-receive [] V7 |: E3 T7 B2 g2 t. j
set local-reputation 0.5
9 ^, J" [: @0 U" \' j; rset neighbor-total 0; J) `$ R+ W9 z* k" M& _9 a8 v
set trade-times-total 0* Z& T% J7 m8 J
set trade-money-total 01 ^2 Q9 B, D5 h
set customer nobody
! v% Q& _, g% |: n6 ]' k3 N3 ^set credibility-all n-values people [creat-credibility]! D' P7 m. g* q% B- L, `( a5 L
set credibility n-values people [-1], i7 r$ [6 M& D. r% ^: E
get-color" Y! ^. p% V8 C6 d. w- ^
$ _4 O- ?- c9 g2 I% Nend3 b5 p9 A, u6 I, j$ D
; @, Z. w5 C% O5 p, i O9 {! k
to-report creat-credibility
' T0 h/ u7 ^* P/ areport n-values people [0.5]
9 Q# L8 `5 n% Z& I, d. V' Xend
1 o! L/ Z0 B c) i8 P% W' Q- v3 @! @
to setup-plots ^- _! ]! L y2 l/ w; @$ t# k
7 y: \! j: Z2 m* O+ i+ ^
set xmax 30
/ ]: x5 R( U/ `
$ \4 V U) f& i6 o1 m6 Aset ymax 1.04 U6 j, D3 w/ ^
9 n6 \1 f. p; E5 ^' u
clear-all-plots( n1 Y0 L( f# s/ q# I
( U# X1 x$ c5 z- w
setup-plot1
" d) v$ P8 E! `3 Z( ^2 p$ L$ U6 x% G! Z2 v6 n; v
setup-plot2# S: t, F. S& U' t7 x4 w2 Z& c
4 n' o7 G+ i: x4 v
setup-plot3
$ |& H4 Q- M+ ?3 zend" C9 g4 [8 z ]$ \$ E* `9 f. v
5 B- X" ] b$ i1 P;;run time procedures
0 m2 i) d/ L; v
2 V; N& C2 x* w" W: Y1 Qto go
1 S8 }# g% E! G9 ?6 x
; }+ `+ n2 M; u# Wask turtles [do-business]# u: J. e. m- l. d
end
( M1 Z( z0 J1 w& @ K+ S5 s. h+ Z1 R. z6 k( E+ g- d
to do-business 8 k2 Q$ x% s) j+ u2 d. L* B5 y
7 F' i# j7 M6 v6 X$ l2 k- v
0 S0 p( v. r6 [5 g
rt random 360
8 K! F* F3 e5 w( l/ Y' d, u6 u* j- X
fd 18 b4 w* r! q% E/ F: \: j, h' B
' |3 z& a' n, h
ifelse(other turtles-here != nobody)[
1 \5 t9 I3 ^( S# h3 D0 ^* t" R v. |7 L. _+ n
set customer one-of other turtles-here6 n5 j% \. }: T( {) n* t5 v4 L3 h
. e9 [: k- {4 J: m/ b" x6 q( i
;; set [customer] of customer myself+ E( [& s `7 b0 O, ?5 p
. @' W8 R7 q3 n4 M Cset [trade-record-one] of self item (([who] of customer) - 1)0 A d( E1 v* v2 [3 h, y- w
[trade-record-all]of self2 W1 t; Y$ m, p4 E# Q
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self2 Q$ B- H$ M0 r6 V. {, L* @
; G* W2 r- V1 f& p& _
set [trade-record-one] of customer item (([who] of self) - 1) l: P; b& T0 s/ Y% r
[trade-record-all]of customer
) }( H! \) h! ~. v: h; Y# |- g* {5 G3 @# l/ ^. y6 K
set [trade-record-one-len] of self length [trade-record-one] of self
5 h3 K0 Y; J" Q# Y, z
5 `, O+ S/ v4 Iset trade-record-current( list (timer) (random money-upper-limit))
; V$ T; f; |4 k' Q/ O4 W- J1 T0 J# P* [& D- [
ask self [do-trust]1 X7 u% {8 W( N( J5 U
;;先求i对j的信任度
& s# r' X6 u5 M* V0 i
* C* e% V5 W! F! tif ([trust-ok] of self)
/ u4 O$ ?! s. |, a8 V9 F;;根据i对j的信任度来决定是否与j进行交易[
6 ?8 u Y& e4 z7 c8 t% bask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself5 \% P3 k2 K% ^
7 Q# x' `' u' q T7 {
[& b; p' ]" _3 o4 r
# m6 }& ]* Q1 [+ b1 g
do-trade
9 h+ u1 l$ x h( T, G1 c% `
# }$ |1 x# l8 q0 |update-credibility-ijl
9 t( u+ \% Y& I7 Q
: ^8 n3 e6 j1 k# f! U& Hupdate-credibility-list! h2 ?" n% S- f1 m7 ?$ |! \* Z
8 L4 u% S: M4 \! c: H7 U. s" m
. I% s6 U4 S% d2 z- S1 S4 M r; Cupdate-global-reputation-list4 b2 b' a8 B1 v$ L
6 w4 U0 q1 }& n- \0 xpoll-class
* o' o& a% u7 Y H" {1 t8 Z3 G
; [6 Z- m4 ~0 c- r$ ]* n/ eget-color
- G+ d$ I0 B% j/ v9 t
/ P* D& ^) f' j$ x8 f]]" ]- L# |$ _% V- K2 ?9 d
, x A8 ~" k" G' q- D+ N v, p;;如果所得的信任度满足条件,则进行交易
1 h o; u4 L _8 t1 T& e9 m3 A+ Q5 Z0 ]% w3 E
[2 ]! `" n" @+ `! s
% a' p. g# ~1 jrt random 360
5 c5 R# L4 r/ t1 m5 M! Y2 k8 m d( y+ U. u: e, ^9 F
fd 15 i4 j9 A; c4 r2 I& G+ I2 D0 |
2 r H/ b1 h7 [1 t" Z& D f! k, O* x]
" B& @# {" I5 W, \ g
' u8 P! C" U. Qend
/ T4 x) S0 `8 N1 G" z
1 f6 |* u+ X1 X+ rto do-trust $ S* A$ }- l8 o o
set trust-ok False
8 H8 p1 f* f! ]2 i5 D- T
; _3 P9 O) y. {) u# F$ r4 L. G9 Y4 N7 U/ H
let max-trade-times 0
1 ]- C' `. W. w- }0 q5 n, bforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
( A* q# j% s3 }' P6 Hlet max-trade-money 00 c* a8 g- ]4 |6 f8 K, ?
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
) S b [, r/ g4 g ^) U0 o; Slet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))7 \" O# A) b. S6 S! O
5 d$ _- R; {- D, @0 ^: t, P1 i
+ F: W9 q4 X& ~' |" _get-global-proportion! V7 v6 \$ V8 v+ }7 V
let trust-value
1 J+ C2 M( J/ [; Vlocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
3 Z2 N- S% A/ | }% x4 l$ D. Hif(trust-value > trade-trust-value)
{- Z& u2 ~: o/ U7 Q# K/ _: c[set trust-ok true]" r, d8 u, n. B h
end
/ H+ u. i( T: @0 ^; H$ X" q1 c3 W5 A8 x' Z
to get-global-proportion
E1 B: e7 R8 E/ M1 e9 t4 d \; t7 Uifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3): E5 \# X3 z* o" p, Q2 @
[set global-proportion 0]2 g% h! K# g$ ~9 m
[let i 0
7 w* h- G1 z$ {9 Zlet sum-money 0" l/ J N, D* c/ ?1 A
while[ i < people]
; R, Z& Z4 W$ {$ ]. [& I[
9 R$ d6 f, s. O# Oif( length (item i
1 E) c( U& O# I$ k$ r4 r) E[trade-record-all] of customer) > 3 )
8 J0 y) N9 q! I7 `* ` w9 X[
9 w) e0 N2 {: V/ b; Jset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
& x ~) b: O- f; n, i7 e]
7 L# [. {% f2 u& }8 l]
& b8 \$ l9 Y& z8 glet j 00 `/ u; V& w: u
let note 0
; K9 |0 T7 p5 X5 i$ Pwhile[ j < people]
5 [) j6 M9 {- x' F: |& ?[
9 Z6 @6 b2 X5 O) N3 n( Cif( length (item i
, o2 Y" u1 y$ O8 r- W! Q0 K) N[trade-record-all] of customer) > 3 )
: I' D+ ?" p E4 ?$ |( g: z[3 o4 f7 P& u/ S: p/ R
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)/ n. @" S3 {, ?/ G
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
$ [" r! v1 H; ?2 E: } b[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]$ Z1 S: V# ~; u! o3 U/ O$ b
]
1 j/ k5 s4 _4 _$ o6 a]
- [/ B$ v) q9 E! z. jset global-proportion note
+ T! Y7 H) |. t" |; M]4 m# j, ]0 G7 b% W5 c
end* O2 S9 x! L% A1 i
8 e7 e" D# Q5 `' g& oto do-trade
, z% `# Z5 X" R, f" r8 o2 p;;这个过程实际上是给双方作出评价的过程. O1 o. R6 O+ m. U' p- y
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
, H$ T9 h( x @7 P+ |9 b+ qset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价! p+ {+ t/ g3 I2 B( G
set trade-record-current lput(timer) trade-record-current. G6 s3 d) @8 [$ C7 u# E- f
;;评价时间/ |0 @' t/ C6 @( N9 I: w, P A
ask myself [
, ` n8 }+ `& @4 l+ X) @8 W) Xupdate-local-reputation5 X* @3 h/ h, K7 K
set trade-record-current lput([local-reputation] of myself) trade-record-current2 t" }, Z8 l Z) B5 }1 y, Z
]3 s+ S V8 |& ~2 m. Y1 U
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
' p; \; a$ t& b/ v1 _;;将此次交易的记录加入到trade-record-one中
9 N; C. |& P) R/ nset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
& r* a. I& b: x) _! @; c$ q/ }let note (item 2 trade-record-current )
/ T7 W5 t. c+ Nset trade-record-current
, |$ f3 h/ J$ l2 D(replace-item 2 trade-record-current (item 3 trade-record-current))
1 `& ]' t; h2 F- r% @* sset trade-record-current
. ^1 Q: R$ f0 v/ p3 I, X(replace-item 3 trade-record-current note)
/ K! d5 n, f! V/ O1 j+ `9 o7 @1 E9 _9 G6 N
9 n5 t/ B4 P/ {4 j
ask customer [& N5 E5 V' |) y; v
update-local-reputation( f# {0 ?% e$ T) G
set trade-record-current
: C" _- Y2 a6 z8 G6 p) o(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
) ]+ y9 }3 K4 G3 C! [7 z2 g8 G7 J]5 y1 w3 c6 a* Q" C$ a
6 Z" f6 d8 W, K7 z/ D. S; T4 p( ~# m' o+ h) b0 V9 R {: \
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer5 ~) ^6 C" o Z
1 l+ P8 W6 W: i# C$ w0 q; U
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))& d1 O H4 D. M3 g% Y
;;将此次交易的记录加入到customer的trade-record-all中
7 p2 J- C7 s) N! T9 J; n) M _, D# W- Tend4 W' G( F6 V G, r$ v# i
/ c* V5 f" E, w9 _# `- ?' Eto update-local-reputation3 [3 C$ @; N" j3 z& M
set [trade-record-one-len] of myself length [trade-record-one] of myself
, a+ e- e# Q7 V. ?( v+ ]5 Q
% D. m, y3 X, {- b$ X0 a. a% F
3 W# W! D( N7 o/ ~: L;;if [trade-record-one-len] of myself > 3 4 X" A! h* {; q9 W
update-neighbor-total
& s9 b0 \# ~1 B5 q, T; a;;更新邻居节点的数目,在此进行. @' k2 I, l$ {2 |6 Z& P3 O
let i 30 j/ [# V' F8 k9 L8 F" O
let sum-time 0% D* v6 {7 W5 v. C3 x
while[i < [trade-record-one-len] of myself]
+ F# p/ s' i! L0 ^1 X' N$ J# c[
) B" f# E0 w" Vset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )0 J9 e: ^/ Q$ U4 N
set i6 R! R3 c3 D; }! x5 r1 v
( i + 1)
' B. X4 x8 O/ K' M& |7 p% k]
+ F( }- ?# G C$ ulet j 39 a: v! N3 w) Y7 J+ Z5 ~
let sum-money 0
* Y- G' @. C/ P E7 kwhile[j < [trade-record-one-len] of myself]
8 }5 P9 M) k( U) [' I0 O[5 F, h5 m8 _1 Y' Y
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)& V6 n% ]3 t4 O9 L) n7 v
set j
3 [( s1 N. ^2 I9 N5 G( j + 1)5 r% I- M$ V. r' b& H9 a1 {' P
]+ @7 U' v% r# [) C
let k 3
( k" D; x) Z) }6 W& M6 }- }7 |( Blet power 0
1 W$ E" _- G: ]# B4 z* n2 Plet local 0' H* a+ y9 N- o. v/ g$ q
while [k <[trade-record-one-len] of myself]1 y+ c F0 I" A) }0 K$ ~* r: Q
[
. Q4 Q/ y) g5 Q- I/ Z4 Xset 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)
+ D3 W- F) w1 f+ I2 c0 u: dset k (k + 1)
( Y& a* d7 R6 f9 E* P7 o% ]]% b) s# b* m5 y$ H
set [local-reputation] of myself (local)
7 [9 S- A" Q0 Z* ^& ?end# o) i" g9 o. S9 }7 e
) k4 T# l% U. T* c9 m* Yto update-neighbor-total
. @' N. H) N8 |! G+ D* k, l% T2 ?! S: _! X! e
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
& t: f4 E7 @- Y2 l5 e3 I$ k8 _6 O6 M/ n
$ n8 k: R* v1 _& E. D" h
end7 |) c- l! C( O" K6 H' Y8 H) H; k r
: w6 B9 g! n- ?- j2 T
to update-credibility-ijl : l8 u* f$ n6 F4 \
/ @- ?* p2 L# }" I$ ]3 f8 Z;;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。
l5 Y) Q4 z/ zlet l 0! k& A( c* G& e, z+ }8 p
while[ l < people ]1 X( C" T+ r% X* m2 h2 z
;;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" s9 }( T" d4 @: x: z2 o
[
& r7 |3 g8 V9 o- |5 d- ~) M5 clet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
& G- ^- l: U/ {8 v/ tif (trade-record-one-j-l-len > 3)
4 K" P T4 U) B. u* U[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
% Z* S/ H$ u9 G' F. Clet i 3 w. d2 G2 G& y8 D0 w
let sum-time 0
0 J5 j3 G) C1 t Awhile[i < trade-record-one-len]3 y! D2 h s2 ~( k1 D
[
: L0 Z2 w8 a; ]0 Z N7 hset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
5 x5 X( n/ o# r eset i$ S! z6 R9 w: y+ S# ^! j2 [
( i + 1)* U5 I8 p# D6 i9 w; I
]
, w$ ?9 [- I5 g! }, v7 O6 p4 Y# ~let credibility-i-j-l 0
/ v+ D2 C) d! v4 a* A# };;i评价(j对jl的评价)4 ^6 x4 e& y6 V! R8 u/ F; m
let j 3
' l! `8 z8 H' r# _9 p* ^let k 4! I) S5 P! q* g' p5 a
while[j < trade-record-one-len]
3 r" _$ v1 `# z% Q[9 ^* F- ?# z2 O
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8 ^$ Q6 y, X( r
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 y5 h* P+ S. ?9 _, zset j4 _) f( N- s j3 w( I, o: ]; k5 ^( Z: j
( j + 1) Y8 N" ^+ P, U4 @; j% j+ U3 J+ L
]% a* y5 |. M) g+ r5 X8 G. \$ S0 k
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 ))6 `' }9 p$ U3 Q
" C* I( E6 {; P H- y1 f, E* h- ^% d0 C
$ @# v" j: Z7 w! P% B) |. ~! n
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))8 g% Z- x3 u5 q. L7 [
;;及时更新i对l的评价质量的评价' v6 A r; V* {2 b. B- F( j6 P
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
5 `, h" X# s" E+ ^# F" q8 Sset l (l + 1)# g+ f5 j1 ?( A; X& g: ~
]) `9 W- p/ ?" A4 F0 W
end3 i8 Y3 p0 U7 s% l/ S) X
]8 E; r$ x* I+ S5 d qto update-credibility-list
& F# c$ l, _6 g+ y0 `3 ^+ ~5 xlet i 0+ ?* g6 w& ]/ q. c, ], Q4 W5 ]
while[i < people]
6 F0 D5 n& D( b! V i M[
! v7 l; p/ z) n# b3 L4 nlet j 0
( B P. J' h' I, D" i0 I0 ]% c; Olet note 0( d8 [& `/ }( K9 q- |
let k 06 R+ R3 Z9 U* X; Q4 m
;;计作出过评价的邻居节点的数目+ K2 r5 Z8 N4 x" S( {
while[j < people]. m/ G! r0 e1 v3 Z
[
" P; c" _: L6 l# X" ^+ wif (item j( [credibility] of turtle (i + 1)) != -1)
" M: p3 d7 G1 K% E9 l% d1 N;;判断是否给本turtle的评价质量做出过评价的节点2 o, E; B) D `' x7 X
[set note (note + item j ([credibility]of turtle (i + 1))); d# X o1 F( b3 x
;;*(exp (-(people - 2)))/(people - 2))]7 P; |' F* } K
set k (k + 1), D/ e9 b/ y' H8 _( F( G
]2 @5 x8 _ `3 }( C2 U+ m: H+ N
set j (j + 1)
" A' n3 g: q" _]2 f) }( Z% q: i5 a$ F/ @+ H
set note (note *(exp (- (1 / k)))/ k) f* `2 ~2 o4 w" y# [- b
set credibility-list (replace-item i credibility-list note)% z2 w5 ~2 o/ }$ g
set i (i + 1)
5 k2 P( F6 N4 J]
: ^+ _0 S- X5 [0 [/ _3 uend) t3 Q X3 \0 j( x' r4 J
- }; \. v- V5 d3 ~% k0 cto update-global-reputation-list. G/ v& ~) E n" `
let j 0- U2 I! {9 }; {5 h/ r
while[j < people]
& s* R6 r5 h# q! t, T4 A0 D[. F6 `+ g. f' n0 P3 a+ Q
let new 0. j( m& E ] j7 w n" I, T
;;暂存新的一个全局声誉) F& ]! v1 r. W, Q
let i 0
7 Q) h' J0 t- P; q9 Z Y. V0 vlet sum-money 0
% @' t( _) W& _5 t% xlet credibility-money 05 ^0 s) U0 j$ |
while [i < people]7 t2 l! d3 z7 H9 c& ?+ i
[
9 K: A+ x6 r& B8 ?: G oset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
2 C" {' c @' `$ E4 Pset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))8 [( c; m1 W6 f$ |! e
set i (i + 1)
$ F) s- N' V) r7 P0 s) M& H]
8 E& A" I v/ }$ ?4 B. H& X! llet k 0
% I+ I$ Y) C$ p; {/ C9 Ilet new1 02 h; x( f" E, V' G
while [k < people]
) ]+ R6 I. t5 G[) E" e2 B. O+ e9 m" z, g+ L+ G/ p7 r9 h
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)' G2 B# q$ W7 S; @- u; T! c/ s
set k (k + 1)5 ~# M# ?0 [' X2 u: ^9 S
]. c9 }1 v8 x( E8 E4 P% h* W8 ?
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
5 _* T+ x/ _) Oset global-reputation-list (replace-item j global-reputation-list new)
( W2 d; D2 a* M% ]$ Nset j (j + 1)& ?' h7 e6 ~" y, { P5 ^
]
% p6 K+ a9 m& @. Rend
) E0 _% r! x v" s) R# s. N8 j5 h" E; {
0 [7 I. U: Y; h* F2 n% v5 N
( K! L& R9 _2 X7 D* k: a
to get-color
) d9 B; v7 I( J& F2 a4 o. c9 j: s% D9 c) e+ j: _$ ?
set color blue
$ F7 A/ P7 ~- I. Jend# F5 n3 M# D1 o1 f) z/ w i
% x# A6 T" r( f$ [, E' v; Oto poll-class' L( ~ o& Y" x( E/ b7 V' y
end
4 y7 C3 H3 q. `9 [# F7 X; e3 o' ?' N( `5 e" D7 Z) M
to setup-plot1
/ ?' z1 e& n& e3 R, f h! j0 O0 F5 s4 J( A2 z
set-current-plot "Trends-of-Local-reputation"4 a. c- W% y/ |5 } B5 F) d1 \
2 Q# d& K9 c' v/ Nset-plot-x-range 0 xmax
9 P0 l4 [% @. f- a: D+ b: [) ^- b# C5 d3 Z7 K7 S
set-plot-y-range 0.0 ymax
" [4 n% ?* j7 V1 d' }, C+ Dend
# v( l0 s% R5 j: c, h$ J
0 |; {+ m' |; t7 w; @5 vto setup-plot2
3 d) o/ {5 r3 k6 S }+ y6 K6 }8 K
8 o+ V" T( z9 A/ u2 t; V* k. Bset-current-plot "Trends-of-global-reputation": [; n ] u8 ^+ R2 y; P! f0 ^
- l) Y4 V" X2 ?. [# dset-plot-x-range 0 xmax
$ h) U2 d9 }+ G4 B
- P9 K( z/ V& X+ xset-plot-y-range 0.0 ymax5 W" o3 C, Q. _% c4 x
end
1 j4 M1 p0 S" s8 m; f( ~0 q. M8 v# h8 q
to setup-plot3+ A% X( R! F- h
8 o- g! J, X' Q) | hset-current-plot "Trends-of-credibility"6 g( D" |; u" X( b# H5 w$ G J! Z! O' ]
# B0 b# m) _5 B N
set-plot-x-range 0 xmax7 z& z3 s# i$ Q+ B: x! p
% t- a7 C& g& W1 ?
set-plot-y-range 0.0 ymax
& M3 _' S2 c( w' W+ y, K8 Jend
6 y- r& H" ?) H( ^2 A U3 d8 j" l+ j4 v" t, d6 T. Z5 B2 v
to do-plots( z9 Z; Q/ s/ e8 R
set-current-plot "Trends-of-Local-reputation"- N H: G. J5 X) d6 D. G
set-current-plot-pen "Honest service"
4 f4 S5 ?, g) s: {6 ?% `end# `/ f( n" ?! ^9 w' n6 z
9 r; @1 ^+ Y! L, r; ]3 t
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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