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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
$ d1 W' c. o8 E k" D3 K% H! Mglobals[
% ~$ C( a2 [5 _1 M6 |( j8 c, F+ }) \xmax
O3 x0 s9 L6 J, ]9 Lymax
3 m0 C' k, V! h6 F1 Hglobal-reputation-list; i3 t. v# M: m3 ]2 v; e# [
' z6 s6 v9 B4 {/ T& ~
;;每一个turtle的全局声誉都存在此LIST中. I, `3 v4 b3 c- M- p
credibility-list
9 l0 o( a0 p% c6 Z% [: |;;每一个turtle的评价可信度
& A1 B$ w% Z5 ?) c( x0 q4 A4 y1 ghonest-service. N# N# s: c. n/ Z8 s
unhonest-service. z7 b( `. H+ x8 _
oscillation
L5 @; h! ?1 i' a, p. O8 ]9 trand-dynamic: O8 W) }* h1 t, n1 Q3 y
]
# F* ~3 _3 F' p) t9 P; k' O' q+ P1 z- F) f
turtles-own[
7 ]& @7 v: d1 G5 |; Y9 `trade-record-all2 X; g# I+ I9 Z1 l3 g
;;a list of lists,由trade-record-one组成& C/ E# Z1 W5 v% B' c5 y, s. c8 a- F8 D, ~
trade-record-one
- ^4 ^$ d, t& Z0 Z6 W, e;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录" n/ z4 G& ?; {2 ]
9 w; F8 I. V9 l- I x! _
;;[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]]+ a+ H# t! z |5 l
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]
, x# K! u' Z# a3 |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% w' `/ p: O% S# |
neighbor-total; o+ r5 `0 i( h7 A1 k+ q( D
;;记录该turtle的邻居节点的数目* h4 C& g, e5 ~$ |3 G( _6 E
trade-time
& z7 X+ r0 Q+ i0 k) v;;当前发生交易的turtle的交易时间+ a s6 `1 Y7 k( y; [! ]
appraise-give
& o" u/ Y+ W( L% r8 C9 V;;当前发生交易时给出的评价4 k: z. v* ]6 q J- R/ l
appraise-receive0 L5 f, T; D& q. G' u+ X3 o
;;当前发生交易时收到的评价+ B. F# `; X0 p. D- M6 X
appraise-time
6 Q; @2 I% I2 o6 J;;当前发生交易时的评价时间
6 w+ w! {. o5 r$ alocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
5 q( X, i9 K2 }+ l9 w! _trade-times-total
9 C4 p" s( ^# l* J* X- @8 f: V;;与当前turtle的交易总次数
2 b8 W/ Y# q+ F5 }3 D9 Ytrade-money-total' e7 Z2 S( c2 Y+ T1 D% \* v( R
;;与当前turtle的交易总金额
1 y6 { M. Q0 U7 u7 D- A% N* Plocal-reputation/ A; u! e$ Y4 W9 b/ c/ M
global-reputation2 O3 ?1 f- p5 N, ^# I' |
credibility9 d5 [1 J; ^# w7 J# j3 m
;;评价可信度,每次交易后都需要更新
/ x1 c0 @, i5 {$ w: X; Acredibility-all* J9 }5 h# `' S1 q
;;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! a+ N6 d7 ?' R+ h# p8 f
; P) U; I2 ?% Q6 U: L8 s" R4 ]
;;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
5 h( \ M( Y, D" d6 P; g1 r3 Qcredibility-one
q; l' y/ t* c" j;;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
# K& P. e4 V% v7 a2 X. pglobal-proportion5 _2 L; u$ b' A" `$ j
customer- ?" d5 [& r$ S6 S6 P F& i( n
customer-no
4 Z; O* {- j1 \9 B' k% Strust-ok
9 q& C. D- U d" B/ Otrade-record-one-len;;trade-record-one的长度
' \) ?# A" R8 Z) O) z6 [: Q5 z]
- W# e9 ]( u9 R' G- Y, V
$ Z/ u& A9 D, r& S6 O q# f, _;;setup procedure v. U3 [5 a" u
6 B& O; a3 ]" f* J+ w3 Eto setup! q6 ]6 ~9 s ]; W4 d0 X. Z( O
2 G. W' L2 x! w: c/ cca4 `& a2 O; n) [! Z( g5 J/ u! O
: \ M0 I3 B) `0 c: |8 ]# H- s1 B
initialize-settings
6 |) q8 H% d, U) C7 P% _' G
9 q7 h. j* C: w+ x7 rcrt people [setup-turtles]
" d. i* s; E. n) x6 o) m
6 t& |9 b4 s; P: Qreset-timer; K) p% V4 L G
& f. k+ a# b- m- Upoll-class: k! ]' H. u G8 p% r L, ?. n
, a/ x, L8 @: B; Ssetup-plots _8 Q9 P. j9 B6 n% J" W. e
( B. g* A& N# Z+ ~do-plots6 t9 \; X9 w) J8 O
end
/ V/ P5 \0 |- C `9 O2 Z) t+ D
to initialize-settings2 z9 j( N0 N" I* F, d" K# y
: u' u" V; ?4 u3 ]
set global-reputation-list []
0 j L1 U( o7 h0 E0 x" w4 S8 U2 F! y- F7 m/ x5 k
set credibility-list n-values people [0.5]7 n9 R2 T: Y" `7 Z+ x2 f' |
- E4 m2 @+ }- c$ t- N. I7 k9 b( kset honest-service 0) E: Y, ?( F9 J6 D% M
m4 l, I$ g/ P9 t* F9 T+ @/ U
set unhonest-service 03 b2 n+ ~. P6 r5 l& `
% n* d9 ^, e3 a& k) t& ~/ q- b9 {0 H
set oscillation 0
5 [! R8 l: l2 i0 N; r8 N+ j5 S0 [) K9 D3 D: I; \, x8 `0 M
set rand-dynamic 0
- [2 ~* @& P0 C2 Z6 rend
: M% u& v% b$ Z3 G: k+ g
+ k9 A2 n' z m% m& `to setup-turtles
+ Y( _4 N! {# z8 `+ A4 r. Hset shape "person"
* ?. u8 V% q8 R: Usetxy random-xcor random-ycor
) a0 a9 c# i. G3 I/ [( Zset trade-record-one []
6 n' w( X' [' e! I1 X) J8 ]3 z
; \! g, H1 k6 ^, p1 {7 eset trade-record-all n-values people [(list (? + 1) 0 0)]
& x1 E" i6 e; z$ L5 ^& j
4 K. Y( K4 \! h( [$ v% lset trade-record-current []
3 v; s+ t$ d9 @. Gset credibility-receive []6 |: U. m% p- P( o: z
set local-reputation 0.50 n& a$ K( _8 t- q5 M6 N+ W3 G8 [& I
set neighbor-total 0
' Y! `, c" P% G* D1 b2 B6 ^set trade-times-total 0
/ j; P& c* A. p8 X8 \: Zset trade-money-total 0
+ s# u; F* H- J8 i- d. Mset customer nobody
t1 `5 ?+ n r/ d% b' @set credibility-all n-values people [creat-credibility]
2 \ b( w+ P8 a2 @& e8 A8 L% Eset credibility n-values people [-1]
0 Q+ S! N) {5 u6 E: `! ~% n6 iget-color
9 a5 H2 U2 L; [, W; m8 j1 a/ L8 W2 ?6 ^- d. ]8 w7 `9 @
end
; m" Q, h. [" i' F" N3 s% e; h% p# v3 y
to-report creat-credibility5 S) w( q0 i" Q; N
report n-values people [0.5]
, [# z0 W6 X. \+ z" W0 bend2 B: D2 W# b/ C% a) a0 j
3 {; i& G' q8 A3 Y G
to setup-plots" U2 M% }3 H# d0 u1 @# N2 F2 N
. Q) z7 A$ Z1 l4 H
set xmax 30/ r1 y! G4 N# Y( n4 ^5 h
4 @* M6 q9 D" oset ymax 1.0
# _: H5 r) {6 y! i0 p
/ o& g. m# Y& Oclear-all-plots
1 D" {: k. j, C+ M o4 n4 S1 L0 m# u: q0 d$ e |* ?
setup-plot1
! c- P3 l; b9 G2 A, B" `- P( V" W' ^2 F- l1 F/ P% S& ^
setup-plot2
! P. K9 w6 z" |+ }) ~, K* r6 O; G! f \$ ]( \
setup-plot35 v7 Y" x3 K( e# l
end; S" l& l8 s; e/ B6 h
3 B* O9 v! ?% _& L4 m' i;;run time procedures
" i; ~+ P* S. j P* \0 c Z- R$ O$ ]" I6 w7 |5 ~5 I2 h R
to go
' c! X! Y& ^# O
6 x$ `6 Q2 h9 c% z1 s6 mask turtles [do-business]
5 y4 n+ _0 ]8 X" s5 n2 dend6 Z& @* b& F1 v. \. j1 q! W
4 x5 p- j$ q! @4 e4 C, p# C$ x
to do-business
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& Z5 I( x. c- y O d/ B& W( F4 m0 G
* J. Y: T) v. ~rt random 360# C8 d5 x& L4 Z
: M# T: W' d0 |& @4 L
fd 1
8 Q1 q; f$ Z8 J# U
5 ]" S1 T$ O# jifelse(other turtles-here != nobody)[
& E+ J& o* R. ]
5 c9 H. Y1 K$ T+ O+ }set customer one-of other turtles-here
0 }, ]! T* M0 e" [# E- X* d. t( S$ r. U9 F, ^( G- A
;; set [customer] of customer myself, Y8 V; J% @& r' N# K3 ^( Q, N
/ \/ g/ P% c3 K. m3 O- E% pset [trade-record-one] of self item (([who] of customer) - 1)
) v n( F" d9 q[trade-record-all]of self
: A4 x. e0 X, X# [; U+ p, u;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
' f% W/ K# g) z s
9 P0 z6 O9 S" ]% [9 O9 Dset [trade-record-one] of customer item (([who] of self) - 1)
1 { |) x( N) L) {. [6 a[trade-record-all]of customer, O9 Z2 y! q9 A, |; }$ X# {5 a
- y! z4 E4 r, x
set [trade-record-one-len] of self length [trade-record-one] of self
, [. Y. D1 ^( r5 P$ q. K& f! ~# c; I* P
set trade-record-current( list (timer) (random money-upper-limit))
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( C& e0 W! t l1 X1 Y! h9 E% }ask self [do-trust], }, p: D, X# [3 Z6 K) @" _
;;先求i对j的信任度+ C- H0 I7 g! X2 ?: E+ L7 b
9 s' L) `% c, G" Q) n5 U- ^if ([trust-ok] of self)
4 x. `1 X, w& f9 v# ?# k;;根据i对j的信任度来决定是否与j进行交易[" D# h' F* j& b
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
4 }0 b0 K5 [+ b! T+ \" l; Y* @! c6 B* C3 ]
[
, x( W( V0 \( o; ?# L D8 o- m3 U5 U4 g/ u8 I/ }
do-trade2 I# D7 K& I! E" G! j
$ F2 ?" |1 g' d; \3 @/ ]update-credibility-ijl
" ^. E& T0 l( N$ J3 l8 L* D0 ~3 z- m3 r$ ]/ K' {) x. E
update-credibility-list
+ G( Y; d1 j* Q- z1 K3 C8 |5 C2 I3 P4 J6 s0 ?
. b# M d9 G$ k1 K: a
update-global-reputation-list
. O) q, ^9 n& Q# b" {7 e7 J/ ~ O( Q7 M. y1 P
poll-class% K! |& z2 F" v- n; @; [
" P+ @9 N# T% w( Pget-color
4 e1 O# s6 `- |0 R
/ {' h/ h0 H4 S) Q]]
- S1 f+ C" P7 ]4 X
3 u0 n" i6 i5 D* r+ b: I;;如果所得的信任度满足条件,则进行交易* J1 I# u p# P8 i
6 D! M( c7 w! }' p( \- d[# L3 |: H/ n' [
/ J* Y8 A& {- m/ i" Q9 trt random 360! Y4 u1 b2 ^ v7 w
6 m( ?1 H r/ e: |fd 1
L# K" S/ E& U3 }5 H# o) f# N9 [
1 R' E7 ~. k3 V) \]
' x" J, d1 e4 N3 o/ |3 |. C$ B' w, y0 W* J& [/ ]+ a
end# K$ [8 o, t4 K6 R. S
+ w4 a% c9 A; s- m# k3 @to do-trust 8 Q: a- ^# b8 p' F. Q; L6 [
set trust-ok False; c, W6 U4 l6 i1 w2 b! m" P* S
4 H3 s# W; o+ G; K# A
. r7 ^3 T% i' d7 Dlet max-trade-times 0
" t' O4 s) j( R7 h; W# m9 sforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]6 x; p! K: ]6 }* C1 W3 W+ x
let max-trade-money 0/ y: x T4 Y4 n! |& y# ?! K
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
% x, c/ S7 j) U* Y" [# Mlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))2 q _3 Y( C3 y! C. ] {
+ P6 @" b& U: F0 Q% ~
( g7 j: D) q( y; c* T! B
get-global-proportion
- h, d& N) j2 r7 `let trust-value# o2 P6 S& Q- L8 ~
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)
1 w2 B! S$ p; ~ ^5 Y1 Rif(trust-value > trade-trust-value)2 R7 w& L) F' X1 ]
[set trust-ok true]
1 |7 z" ~9 U7 tend# n7 ], N7 P& i% d( h5 d7 m* J- ~ Z
" i( t6 _3 s% o% T2 v
to get-global-proportion' u; {5 l( _6 }$ D7 [
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
5 n- v4 O' k8 L# w. ][set global-proportion 0]( J- B6 L5 I A5 k9 D4 x
[let i 0) P) \( f3 J0 o
let sum-money 0
7 u3 J7 h% @/ Y( Ewhile[ i < people]7 J# Y, X4 Z3 B' ]: t
[
8 {) } r2 k) V8 z2 d& ]if( length (item i, y1 T* q- \7 `3 o8 Y) \
[trade-record-all] of customer) > 3 )
* o3 ~0 p# `' x6 N[) g$ b& a& k- B3 I- c+ H# z( C
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
& a! W5 }: T4 @, J( U- h]
" l+ @3 Q$ h3 \2 y) O& Y0 [# g]7 H/ d7 e, }- n2 Z# ~" A5 Q
let j 0
) |& m+ x$ v+ ]% z- A+ N$ b& Llet note 05 c& p0 n% f5 T- v1 u/ L, N F
while[ j < people]
& ~4 C/ z& ^! |( M* {) L- v3 n, v4 [[ c9 s P7 l) _
if( length (item i: j- @: ~. n, g
[trade-record-all] of customer) > 3 )1 z$ M0 R3 Y# H# C$ J3 I' b! U
[- [" F4 I* X+ g$ P8 L _* F7 r
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
) D7 t/ t. ^' Y" e9 h, j3 V3 }[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
/ H/ N0 l i0 e5 B" h+ R8 X[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
9 ?% Y9 W7 ]) r9 U6 @( E7 E K6 g]: [6 d! C7 O8 w
]. c( B0 A. D7 z! q3 z2 s0 E
set global-proportion note
# i' h/ A9 |" I9 ^$ X]
5 m: }( L" F9 h( Cend
6 }. a; \6 u3 F- E9 r; g
0 _3 S. [* F0 B' w0 i+ }' Q2 ito do-trade" [( L! C' A; S
;;这个过程实际上是给双方作出评价的过程
7 k4 k. t7 D9 H: r- eset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
0 _' Z( I9 c6 @set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价. x( f3 v" F8 J# [
set trade-record-current lput(timer) trade-record-current8 G0 [! `& i& c0 C
;;评价时间
5 d! B' D3 y" ~% t/ k. ]ask myself [
; K; ?+ _. o! n3 z, d4 wupdate-local-reputation
" `8 x1 y- L2 {1 I( g$ tset trade-record-current lput([local-reputation] of myself) trade-record-current3 n( @! S4 g( x$ Y& |
]
: Q+ W0 q: s8 tset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself6 U& A3 C1 ?+ w9 n( U, C. ~1 J
;;将此次交易的记录加入到trade-record-one中# c, G, k3 d" `& k8 D
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
, J1 Q6 K" i V$ J+ B, Slet note (item 2 trade-record-current )
, \. ]4 b. h6 k: F8 pset trade-record-current
- ^% D6 I3 ], P ]0 D+ \(replace-item 2 trade-record-current (item 3 trade-record-current))& o4 e! K) N$ N: e4 `$ G
set trade-record-current( E/ y# `! {6 I ?5 H: F. j4 K
(replace-item 3 trade-record-current note)
& [2 q% |% }) G, n, T! n5 J4 R
1 ^- |' c7 I4 v( Z$ M* w- J4 B2 p [* p& M1 q& m# T8 I
ask customer [
# V5 J! z9 H( \( t3 bupdate-local-reputation3 `7 f- i" c0 Y% Y" `
set trade-record-current
) U- {! W) E, {5 y9 Y* H2 K; L/ H; G(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
- ~9 d. g1 ~' ~/ ?5 |] X6 J/ k: t0 s# f+ A# f
2 G8 H# i4 ]) S. W& b W
; [$ \' }1 ?' S1 b3 Jset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer% P) O Q6 W7 W! r% R% c; r$ F
" Z) y& Z, Z p& ]" D& y! [, `. ]set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))" t. c0 A% ?) g/ h! a
;;将此次交易的记录加入到customer的trade-record-all中 i4 d/ J) T- P! E1 _
end
# p' w$ e' Z) x$ w
) Y9 |5 k2 ^: W3 p0 Sto update-local-reputation0 u. [- @; i+ x# k0 T
set [trade-record-one-len] of myself length [trade-record-one] of myself' [* d8 E2 I) D* K) T2 V; F$ @8 u
' {! _" S9 R3 D5 t i9 }
6 E7 U4 B2 l0 ~3 R! [( l8 h- E# Q2 E
;;if [trade-record-one-len] of myself > 3 8 o! B0 N) A! W! v. d
update-neighbor-total
: {7 \2 @# m7 |% [8 x7 ?1 e9 ?- W;;更新邻居节点的数目,在此进行6 W8 l7 A; n+ \" X* @! a" a) T
let i 3* @( s7 i; V3 M0 L; j$ B) [
let sum-time 03 |% d5 @4 G- \! K
while[i < [trade-record-one-len] of myself]$ n. g1 _, q" f' U6 d# g
[2 @4 l7 D" P d, q( T1 _
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
" D( u- }& W8 b7 Yset i( B8 k; x' n) R9 V/ E* a
( i + 1)
8 u' Q& Y, R3 a; a& M* @]
' n2 A( o0 i4 |' F' h, ilet j 3
, d. J3 g. n. y x5 S2 s9 Ylet sum-money 0
5 N! @! L5 k' x, ^) @+ J ?$ k/ Hwhile[j < [trade-record-one-len] of myself]
: g' S% a3 f( Q) o' u[
# n4 Y6 v' R7 g; wset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
[/ \5 y- v8 @$ Zset j
. J- s' M; u w, ?9 E4 ~( `( j + 1), B T" H! ]) u) K) j: M+ N
]
& j' {$ l, f7 }3 @ H5 a) l: C h7 Tlet k 39 ^3 \% E# c2 M8 I
let power 0
- s( g7 q5 t ~% E% t. O/ Flet local 07 F/ s4 E% r2 P* J! V
while [k <[trade-record-one-len] of myself]
% J& Y& @% y+ ~0 F' S. P8 p[$ r9 N7 `9 j: a" k5 c
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) ; d" t: x7 y& S, y* X' f# O- |
set k (k + 1)% T M- t* @2 h3 b9 J2 K0 Z& ]
]
3 G6 m/ k! E f; ]set [local-reputation] of myself (local)
. b& G; R2 L, P+ Z, n' j4 ?( gend
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to update-neighbor-total
# W" B- |( Z0 ^; ^! {9 k, @% d( i) c' [0 a2 P
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
1 t7 V i$ l5 a* d, y- r' f* D- e; `7 d' ]! F
' a) Z( y y2 F' a3 oend
A+ e6 _ o& S! z( v
* b1 E( y2 i' L- c4 N( ato update-credibility-ijl ( n* u' F( g9 `9 m# F/ d6 Y- ^, E
- r$ R( z1 E0 c& 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。
+ a1 J9 @0 P* d. Q# Y0 T( Mlet l 0: K. ?4 Y) A+ w
while[ l < people ]9 c6 U! G H* H' Y& z! Z4 |
;;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' U' u/ c: c2 u$ h
[
: R( n5 S& b: q4 x# a' vlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)1 [' p1 n; X5 c* l9 k
if (trade-record-one-j-l-len > 3)
3 i0 W5 u% p+ x9 c7 g; U: }# s1 s[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- u) |5 }8 D1 Y) K$ \/ o* J* l
let i 3
0 G. U* [! ~, C+ E6 L3 Vlet sum-time 06 b2 K; b5 y; ?% c( Z5 Q- \
while[i < trade-record-one-len]
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set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )( n; \) i" B: @6 h% \# x2 @! w
set i
& G# r+ ^/ t" L- x+ h' A( i + 1)
+ U1 J5 ]' u/ D* A8 P: |]
* w" e' Z G% n& Nlet credibility-i-j-l 0
$ g2 t% k$ m2 {* R% r;;i评价(j对jl的评价)8 ?/ ?2 y& o C/ ]4 C' _# V% ]
let j 3
2 v' a, O( P2 g D3 [% ilet k 4
8 W, q3 m- j, V3 w% gwhile[j < trade-record-one-len]4 i+ h w( `9 T- d
[
! f( P5 g3 L6 h9 t- u6 Swhile [((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
2 C2 |; i0 G* b7 M Lset 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)2 ^ t. Z( E# [% @* h( K O
set j
2 V G1 \5 n" D. |/ u( j + 1)6 p9 `/ W$ _, i( [% W5 V+ B% g
]
: W- T* {, z$ F: ?' d3 e* z* qset [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 s9 j, U ]% _( g2 y; z+ H. Y( F
3 }; C6 e a; {# x1 w
1 V- X) U; l0 S3 _9 rlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))" @$ N( g: O/ r* V3 j
;;及时更新i对l的评价质量的评价! A% V# P0 l9 k @7 G+ j/ r
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]- u3 a T9 A8 q9 ^4 P
set l (l + 1)
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end
7 [, @/ w/ j( U0 f8 L. Z
* D& M1 T7 A+ r( Wto update-credibility-list* l5 Y/ M5 }' U% m# u# U" B' U
let i 0" h( A" q2 B- q9 V3 a
while[i < people]' s* N6 b% y& Q# h/ Z9 ^/ V
[. A3 n) I a1 \* _" ]4 u
let j 04 { G4 Y* g ~! p
let note 0
l3 }" U0 H) [4 M& @3 D; s$ U* d# elet k 0$ R! I+ D7 V7 N$ t4 A5 g! Q
;;计作出过评价的邻居节点的数目
( k/ F4 h1 B" a4 b/ s* U) bwhile[j < people]5 n) Q( C4 L' Y" E* p, S! J
[3 D! g' g' U% Y9 v, \
if (item j( [credibility] of turtle (i + 1)) != -1)' m0 O5 M& Z1 H4 ^" w0 I
;;判断是否给本turtle的评价质量做出过评价的节点
# j8 P- _2 ?+ c4 i[set note (note + item j ([credibility]of turtle (i + 1)))
& Z. i5 P; o; `6 b. v. G* A& N( ^8 Y;;*(exp (-(people - 2)))/(people - 2))]) ]( p) f1 K) b: ?* t9 k
set k (k + 1)( b* F* k' l- ^" d
]7 y% k2 F) _: S# f Q N
set j (j + 1)
# T$ x2 j- m* ^]
: {) b. u1 j4 o8 Y3 m Kset note (note *(exp (- (1 / k)))/ k)
# N) y% V' Z2 s, X4 g& [set credibility-list (replace-item i credibility-list note)3 d8 x& t) t" e) r4 m3 P! d
set i (i + 1)6 s/ ^+ L$ A; j: l5 i$ B$ j
]6 w+ q. M' S9 @* N, Q- j5 B
end
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; e; b5 V" w( E* U, z$ z1 Bto update-global-reputation-list
4 v! ~! [$ Z4 u9 ~% zlet j 07 c" p- R; v: W% e' z
while[j < people]! P% K1 ~- \2 k$ h4 Z: t% v" F+ p' T
[; @/ V9 z. G& @
let new 0
( Z7 Q# @' R- L) h. M;;暂存新的一个全局声誉9 a8 \% r+ G4 J5 [" k, c2 N. V
let i 0 W! f8 T+ o$ I( }. O' x4 A& \* P5 M
let sum-money 09 R. P& Q+ T9 N: a9 S' u
let credibility-money 0' A4 V( x* z7 |: m6 f
while [i < people]: a( |9 |5 z$ d8 T$ V. P
[
4 Z1 V6 r: n2 | X9 rset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
, h& L& u. v9 R% A4 k2 K5 k/ ]set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))$ a( k/ e3 H7 p$ C7 s
set i (i + 1)
& i! H) F) G1 |: H6 k( l2 ^8 W' i]8 ^( D8 R5 k+ D% V% F w' ]9 b! [5 Q8 y
let k 0
/ [, z$ {# ]2 elet new1 0
- M7 y$ w3 u+ I7 _1 O. N2 swhile [k < people]
8 |4 }0 a1 o' @: Z5 Y% W8 C8 o[- O# }( Q z, h$ 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): P& W3 n& x) s3 p; d
set k (k + 1)$ U$ ?; k: t8 Z& p
]
& Y5 o. M6 q. m# I1 {% jset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 2 T# C* t! J( A. p$ O# t$ E2 I
set global-reputation-list (replace-item j global-reputation-list new)4 r- J: e7 H% Q4 X" K( y
set j (j + 1)( u! {: B) e4 \0 B+ Z
]9 u" t3 F1 P& H/ j6 ]
end( o4 ?& y+ f* i
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3 h. A8 g4 G$ H' e/ V9 V
to get-color
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set color blue$ P! i# Z# J2 G; c- }3 Y6 X
end7 i8 s0 N1 F; `
3 F3 g" c |# n& Kto poll-class
8 ?3 `( V Q" t% \3 Yend7 t r6 ^# t- X5 v6 r: O( f" }
! l# w# P7 [& e, M1 M
to setup-plot11 ?+ o6 A5 _7 z: x
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set-current-plot "Trends-of-Local-reputation"
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set-plot-x-range 0 xmax
i& q- N* {) o
" q$ W d' T" n4 a- ?, g- h% b; @set-plot-y-range 0.0 ymax+ I- ?1 r$ \# [- R0 \
end
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) z' S: H( m9 p* M* ^to setup-plot2
7 N+ s! m6 E! b! f
; m/ B% |& r% O% iset-current-plot "Trends-of-global-reputation"% F( E e N8 m0 O/ ^
% D6 A6 E3 o ~* ^* ^. n- _1 I
set-plot-x-range 0 xmax& [' i% p; L! I8 r- s
6 I% ?. m- @2 ]3 H1 K
set-plot-y-range 0.0 ymax$ G! G: p, N" d6 c6 M# c/ G
end9 F# e& H0 f& s9 ]% H
7 P7 X" b. Z9 o$ m
to setup-plot32 q' B2 y( P- A7 w3 H& |5 K9 L/ |
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set-current-plot "Trends-of-credibility") k( R5 ` |- k! `% R3 B. a+ F* C* J
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set-plot-x-range 0 xmax+ k$ C5 A. M# [6 D' b T4 e
8 ~8 d& s" ^8 D2 E1 ]$ J
set-plot-y-range 0.0 ymax' e0 F. n. w8 e+ Q1 K
end
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, Z1 O; l2 S: c' w9 t. Uto do-plots/ |; V4 E: l: ?
set-current-plot "Trends-of-Local-reputation"
9 j7 _) l1 r* n z% {2 _set-current-plot-pen "Honest service": m: p, R* e! k9 J1 V" [# _; g
end. O% t# j& r! l* G5 H1 Z
" p/ X" h9 [# f \5 x( d9 H[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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