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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+ }! Z9 A1 U6 n. R5 W4 f6 Q
globals[3 U) }8 H0 [, j' x# T$ f
xmax
% X9 B. w+ E }3 l- Bymax
( \1 \5 c4 ~: R2 l' Aglobal-reputation-list. @, F% s- y7 g! S7 P$ D% t. A
8 L- S3 i |5 `$ i;;每一个turtle的全局声誉都存在此LIST中' ]. L) d; J2 C# {; ]) `- [1 ^5 W
credibility-list H- i j5 n/ w! _8 ~# L8 `# R
;;每一个turtle的评价可信度& v E3 h; o! O& P
honest-service0 P' n* O) B5 H: D. ^9 F" S% `
unhonest-service
& a. Z# R* v0 v% q! n7 `$ x9 T$ Soscillation
( @# k3 F. O% q7 a% grand-dynamic/ s/ _. N/ [% k) ]" y
]
- T0 V' M5 R* }, n0 `( M2 v# e& l6 I$ R
, f$ f/ Q B# {9 N6 ?0 nturtles-own[
# y: T0 m: H: B% J( Ytrade-record-all% v$ L% a$ p! y1 I# I3 k" o
;;a list of lists,由trade-record-one组成
4 h' k( x9 ]6 a& S; O x& S/ etrade-record-one
( [+ M/ o0 y0 g2 ?7 h;;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 s! ?# U& l9 `8 B
% a3 B: x- s" F0 Q9 J;;[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]]
" N- Z: _( Z6 N8 K% \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]
% l6 _1 c& x$ j* Pcredibility-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
' S7 W+ I2 ~% ^8 Q) Sneighbor-total. N9 `; h, n6 l, V( b; w8 M C
;;记录该turtle的邻居节点的数目
4 \* a$ x. E- b6 W3 K, P* c" \2 btrade-time/ N' z8 \/ r7 m, p
;;当前发生交易的turtle的交易时间
( z/ l1 B. v' R( Uappraise-give( m1 }( M' K& F
;;当前发生交易时给出的评价
' R1 j( D" T0 s; p) G( gappraise-receive# f& `' w! [# C6 e+ o9 ?
;;当前发生交易时收到的评价
% ?) z W+ f3 W; ~9 i" xappraise-time
/ B% W$ P* r% _: c% X% ~, x/ j;;当前发生交易时的评价时间
0 f7 E0 [2 k1 x h- D+ Wlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
( j3 N' I" m5 ]+ d9 ^5 ttrade-times-total
. P5 \5 `+ \' @4 q+ O( |5 S# _. L;;与当前turtle的交易总次数4 ~ h$ ?' u/ q1 U v
trade-money-total% p) x* j5 [3 P- Y
;;与当前turtle的交易总金额# o# y# F- ]. W$ ^) \
local-reputation
. \- C/ w" P' Oglobal-reputation
+ }2 F. R3 ]3 i' i+ s& A! ucredibility: x! Y! Y5 u- K4 Y. J
;;评价可信度,每次交易后都需要更新
9 @# i1 _# n, w) t W" p5 z# hcredibility-all4 s$ u4 d* K: N! A9 E1 b P" k; V
;;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
, K7 t+ _# ]& d) s! L+ \" R, B% }* l
/ J) m, N& I6 G6 b7 z;;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
$ z" b) d, }- f" l( e/ ^2 o: dcredibility-one. V' Q7 n m2 Q6 \
;;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
; B& o4 {# R3 v& ~global-proportion
+ P& E/ K- M2 |1 t$ L) e! jcustomer
, ]- R' m2 {7 m2 m. x, Ncustomer-no
5 N+ b" ?5 j( n0 s. p0 j( _6 d; itrust-ok$ G; K) \; x$ o; I, `7 U8 I
trade-record-one-len;;trade-record-one的长度$ O3 z7 E1 z; W( P, }6 S
]
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( q3 K# F7 Q* ~6 i% p; h5 T! n;;setup procedure
& ? y9 j( p* \! ^! F) z+ x0 y! `9 B& r, a8 o7 n" ]- ~# a
to setup
r1 C$ `8 t' B5 |- X$ |& i9 M3 J+ X4 t& M, `0 F
ca
, U0 a# V$ a4 A
( N; {0 L/ }2 l( b, T3 dinitialize-settings
$ p/ i4 n3 K1 Z I; o/ a Z1 A, `. m
3 n' w) S& o4 j$ |; xcrt people [setup-turtles]
/ \( d$ M8 @. j* t" ^& q+ s
8 { J& H5 R& m! Rreset-timer
8 j; y7 R N" G/ k0 c- t2 y! e$ V0 w7 g) |4 v. {- S! P& b+ w. Q
poll-class0 c h$ j/ Q7 ^1 `7 B
( Q B" B K& }" ]
setup-plots \3 b& H) L; T8 P- |
5 d. V% ?% h# ?7 f& P S& B+ x& Rdo-plots# L1 W# |; h: [9 ^% C
end* E& x" G% @# L0 P5 z" i9 S/ v% A7 r1 R
# F" v9 l; x4 S+ Jto initialize-settings
2 E* v2 Y( p2 m* S, u" `1 ^( z. E8 o) I5 e
set global-reputation-list []
8 O% @; ]9 K6 d
0 i# Z5 w: b7 |; jset credibility-list n-values people [0.5]
- ~7 ]8 M7 E, B& Y8 ?3 H5 K5 C- w4 P. @9 p% d3 A" n3 `( Q
set honest-service 0
+ |6 K* z, f' s" ^7 Q
- z3 b' Q8 k) `; w. R9 V, F" tset unhonest-service 0' E( j/ d$ o6 L& d, X
0 n# I) h' s& s. o' fset oscillation 00 a1 T! v& R( ?
. i2 k1 i: a2 n$ a; Yset rand-dynamic 01 y" i( A3 B9 t1 ^7 }- X
end
; v+ Q7 h9 [* P. u" x
& E6 u+ G' G& G+ ~! V j8 n$ z, {to setup-turtles
, x8 B& Z+ V( ]; pset shape "person"
m' E" _5 X3 \. h* Zsetxy random-xcor random-ycor, C8 d/ ~/ Y* ^% d& R/ k' C* v5 r7 p. W
set trade-record-one []+ b; P, N. F# ]) S' |
9 r, ?5 h: p2 H1 X
set trade-record-all n-values people [(list (? + 1) 0 0)] 9 m, J: W: J( j8 j
/ I8 O o, t& y, _/ T
set trade-record-current []0 a! U4 |6 K: D! s4 v+ U
set credibility-receive []6 i; u/ D' d2 k
set local-reputation 0.53 k8 g% Y! H3 J, r* m/ N! q
set neighbor-total 0
( e0 U( p. o/ C1 D8 v4 C0 T* ~set trade-times-total 0
- ^) Q& x) N$ d- Q5 y$ dset trade-money-total 01 O$ d6 I! P y, b
set customer nobody
2 M9 L1 t( @! G* ]set credibility-all n-values people [creat-credibility]
7 G8 R2 s1 p; J- y; M3 V4 S( o9 A" gset credibility n-values people [-1], p7 ]7 ? L& |, _
get-color6 Q$ {" g+ C5 W0 N
4 Y. E4 A: {. n7 b* `end
- m" l; j/ y8 K9 T4 y6 l, }
O* F6 U |6 b8 ?1 Zto-report creat-credibility* Q8 X/ X( P) C) k) Q9 h6 z) _
report n-values people [0.5]
: r% R' s! N+ Qend
+ W( W2 b$ Y! W3 `2 }0 `/ c' I. {1 P. ~; G# K. f1 s+ `
to setup-plots K# r7 Q+ Y* f7 |+ M5 m/ G5 r
3 I& }, M- L5 f- t: Z7 v' Jset xmax 302 Y) g; D, o% e. u7 ?
( C/ y" n* U' C" Kset ymax 1.0
. O/ l' U- G' w; ^1 T7 o3 ~8 [. E% S3 n+ j- J2 V& q6 ~
clear-all-plots
) w2 c# c3 R! o. B$ R0 X' ?
- E( t/ H: }3 u& c5 m3 U7 a/ Z1 e3 \setup-plot1
& J) O: n. m, J7 h4 y# f& x5 N) z% `% {9 B
setup-plot2+ n9 i6 v( o3 Q
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setup-plot39 j* x7 X" S9 R- W9 Q: f, l. I
end
8 M1 Z! m: ^0 f3 @" Y$ r
3 i( A+ g, r; s$ ]7 g;;run time procedures& A3 P- ^1 a+ i; p0 G% I) Z' [: S3 k
! O! i0 H( G/ K" g' V( `
to go
% B; V% l: F6 \/ E( W) I. o e2 e* S. P$ {" O( [. ]# F- n
ask turtles [do-business]. |, L, }- m$ w8 h8 |& J% T" Z
end0 D3 I# z# b3 k# O" l
, i, m5 w- }1 W8 d1 G
to do-business
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/ S0 {6 v; `* G2 _7 K! irt random 360
* U' `5 b d9 p# J% { P! M$ V* d& [ q
fd 1
7 r2 Q( z4 ]4 h3 N( q5 h! H; f/ p. z% N4 j/ [/ i# R- d
ifelse(other turtles-here != nobody)[7 f6 j+ J h6 G
! f6 R# \ N+ j( @0 G' vset customer one-of other turtles-here$ i: o' C. U' F& j5 h( N/ B
: g3 [) a6 j+ d4 y& W5 k;; set [customer] of customer myself) \. }5 ?9 E9 m/ x
- t% N) c. F- A9 p7 X, M1 l
set [trade-record-one] of self item (([who] of customer) - 1)
! \( b% z* F- d[trade-record-all]of self5 e" |1 R5 |" ^3 a' ], ~
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
7 G4 a0 K* K+ J/ n5 T* s5 s" o
; K( n; X/ H3 Q# z; V( sset [trade-record-one] of customer item (([who] of self) - 1)
. C4 P( a9 h* G5 c4 L4 ?[trade-record-all]of customer
% D! }% X6 h8 J7 c3 ]
& s7 F. ~7 `1 Wset [trade-record-one-len] of self length [trade-record-one] of self4 t( m8 h+ }* E$ `' {
, v8 N4 W- R& O5 u0 U* Eset trade-record-current( list (timer) (random money-upper-limit))2 J: g6 M7 m$ B5 S3 B
$ a/ d4 m. x- Q# oask self [do-trust]# i: Z6 k& a2 P5 n
;;先求i对j的信任度& |; x5 Z) ?) m$ F! k7 v$ ^
3 S/ e) `+ K9 E" h7 k: O
if ([trust-ok] of self)
' n9 X3 A6 X4 T+ L( m. S% Y7 X3 \# x;;根据i对j的信任度来决定是否与j进行交易[$ Q: x4 V& H! ]) B
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
3 {+ _0 n. [ {1 b2 D
! f* h b! K2 b6 J[' }" A& s$ ]# v
5 g% c& `. P1 ^3 Qdo-trade( n D+ D( H* J
& I, D3 I8 f5 L# E" q7 ]/ |3 i
update-credibility-ijl9 g; B4 v e7 |9 ]/ K( G* i
* m0 n! g8 Q& k: {( e
update-credibility-list* ?+ p8 V; N+ `& ~0 l9 l
: F# W6 K( J( J2 E0 Y
) R) j* U' T Z2 n @. G# ?9 u" U) Qupdate-global-reputation-list& Q! w0 [: w1 m- q: Z
+ d& Q8 n2 Q# z4 `* S% kpoll-class' W+ e! F0 ^ h- j9 S. O) z5 @
6 J- r6 [0 O7 ^7 N! k7 [" ^4 z! A# Nget-color
( l% C. X$ V& I! k4 V$ }5 E) P9 k8 ]( c1 O; R8 O0 s' B8 N! z
]]
4 U, y1 {" u1 r3 N! _2 g
: @' X7 }0 d: P;;如果所得的信任度满足条件,则进行交易
3 `# \5 U( z8 k+ e, \* g% P8 U" d( g7 v
[$ l, X5 Y7 D8 E
9 |0 I9 L0 w% r5 U' R
rt random 3609 k8 g3 p6 b* N6 @3 j2 K
) `% K+ f) e2 m+ v. ~2 Kfd 1
9 W+ I1 {1 k9 x5 B0 m2 h! e) q& l6 y- H: u- e) q0 T
]& B5 ?) y5 m" w$ L( W, V' r
- k/ U+ z$ t: U1 o3 s+ F% bend8 P5 x* r6 V& B9 t4 K; b
" Z+ X+ u7 l. L3 A0 G
to do-trust 5 H/ \: K$ ?0 ^2 M9 `- |+ {
set trust-ok False
- p6 d# `9 k* L- e3 k0 m9 d9 v! G9 H% k- w l% l2 e
; m# G! O# T: E: ~0 Ulet max-trade-times 0
d _6 I; X2 H- m6 g5 k' o" Hforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
; }. X# ^8 |. M }4 rlet max-trade-money 05 t, J& B+ S7 ?% v
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]5 A3 \8 S) f5 g/ d8 J
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
7 J: {2 k$ k( j0 r, w# _) t M: |% D$ k1 n+ V% k/ \* X
+ x' `8 |) q8 Z( W% `. v0 O2 _get-global-proportion
B9 D5 x+ J0 I3 [5 ]let trust-value* t7 p4 n/ i2 m
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)& ?; t5 ^: T1 O- g4 K
if(trust-value > trade-trust-value)2 C7 d$ w7 Y/ d2 e% n) M6 r
[set trust-ok true]
8 R. |6 S) s- p8 x0 y( Z8 [) `* _end7 I3 Z4 e; w0 Y+ ~3 K
( p; A8 a$ a8 ]5 p' g; w
to get-global-proportion
& \& s' h C: \+ }0 b7 \# nifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
! Q# L- A. S" |% Q5 U- ^[set global-proportion 0]0 u1 o0 X& Y2 G, r
[let i 0
5 S7 p3 j' U: {. M3 glet sum-money 04 \* T$ B; R8 M) X; n$ z
while[ i < people]$ Y4 K- [, @3 Y- X' o& \
[
) p4 U) Z( o& X" m# `1 m8 Z6 iif( length (item i
: N& _# n" p9 i/ }[trade-record-all] of customer) > 3 )
x. K6 X, _# i4 F1 c2 u$ {[: j. D0 ~3 }; r) v! A7 H v1 B Z
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))4 L& B! {, s/ L, O. l
]0 Y* s4 }( i8 k
]4 }* [0 B% Y% _' ~
let j 0
( b) c) O: V+ \& o8 I/ Hlet note 01 f1 T4 t. l y
while[ j < people]
, j' r4 u$ f7 {2 j, o[3 n! K' j+ d3 J+ y/ b
if( length (item i: I& G( n2 Y) F' a
[trade-record-all] of customer) > 3 )9 A' D& x7 `+ q
[. ?1 x7 z! K% E- O- y
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
5 ^# t/ b# W' y% ~/ x- v; {# s" M" r[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]! o* ^! e! f9 g
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
' r$ v6 u8 t6 u7 ^! k3 R5 E]
% i6 |& y X8 }. R: K- k]
& a+ A; M7 U: J: k; C: }" i/ Wset global-proportion note n& e% w' k' I9 K7 \% d7 o
]/ u* R* o8 l. K! B% Z" T
end
$ F2 e: w/ i) J
: m: i" b1 z, n- N6 H6 ]to do-trade
) V; U/ A4 {, w' M7 f7 L;;这个过程实际上是给双方作出评价的过程
, F9 G* ^; Z7 ~6 vset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
: R3 p6 v6 z- u( Lset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价1 A" f9 i) t7 n. K& P3 ?" `! K
set trade-record-current lput(timer) trade-record-current) a% q% ^$ \4 j, N, u
;;评价时间* X3 r9 e% U% r8 b6 U7 U
ask myself [1 g7 R" u$ \8 G6 V2 `; x
update-local-reputation7 n+ a, R4 m; t* F' P$ G
set trade-record-current lput([local-reputation] of myself) trade-record-current
g! t( Z/ P2 e6 I; x] M7 d7 i, x5 v9 B; a
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself4 r& u% Y, Z3 ^
;;将此次交易的记录加入到trade-record-one中7 r M. [4 N9 f5 A6 p
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
% }) o! r: `5 I$ X8 `; }0 `let note (item 2 trade-record-current )
y7 ~( ]1 H! ^set trade-record-current
/ a4 G M# c }# B& _ k(replace-item 2 trade-record-current (item 3 trade-record-current))
9 r) C- G6 B/ d4 `& n4 z7 Z8 |set trade-record-current; ^) Q. m {! c- }2 @7 P
(replace-item 3 trade-record-current note)7 _; i% {: ~ t
4 C( O% a0 ^4 L# R! j! e2 v+ m! a3 B8 I1 B! ~" I
ask customer [( L, I+ z: ]+ m$ t( l% l& b
update-local-reputation
7 r) k3 s/ v/ B1 ^set trade-record-current
1 o# ?3 n% U6 ?: P- ]0 w& {(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
6 p$ e! F2 r+ P+ i6 r]
% F, T. A& m) G0 |* F% N7 x7 m- u
5 F$ n/ l b" a7 ^1 n( |! \% _7 Q& `
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
( {; v1 s% A* U' S, p$ K0 b3 U" e% a) |
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
; J( E/ I. T) ?% g;;将此次交易的记录加入到customer的trade-record-all中
# h6 D/ J# r9 A4 rend9 J0 x& q/ \- m
1 M. P T- b; b1 s! ^- Cto update-local-reputation
# r% O" ]7 a9 F9 @+ Nset [trade-record-one-len] of myself length [trade-record-one] of myself
. e, M6 D! W# M$ a0 T$ Z" y. C
9 `+ T! f$ t1 K/ {: I5 G T+ V9 f) ^& n8 W: r- D
;;if [trade-record-one-len] of myself > 3
3 N, d6 Y# U; u; q* Fupdate-neighbor-total: q: N; e; h1 O, t6 b
;;更新邻居节点的数目,在此进行
+ X" H1 V/ b! C; I: `3 Plet i 3
- ^7 R) o A2 Q7 L" mlet sum-time 08 u+ t* M- Y- L& {; o0 t
while[i < [trade-record-one-len] of myself]
1 B2 O: g! T% I( [# Y, P+ M[
0 S* y, Q' S6 {5 rset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
& ^4 Z4 s* z: W5 R( N! P0 w. Nset i R+ c9 W& }3 Z, ^- T
( i + 1)& X3 F8 a3 K5 [2 r, G# H
]
& s6 P( ?3 H# I) x1 i5 mlet j 30 u. ?0 D' F. l4 H+ U
let sum-money 0
/ C! g. N9 T( Z" L% xwhile[j < [trade-record-one-len] of myself]* N. i4 n$ }* k
[
: P, ]5 V! x3 U" q# Yset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
+ S2 B6 Q# t( U, t3 e7 R8 D5 J/ |2 ?set j
) U$ t8 ], T' a' F/ V7 G( j + 1)
$ ^3 Z. ~' k- @3 U2 G5 }% }]/ o% u4 Y% W1 K9 w0 X
let k 3
/ F; }: u4 V& y; n# @( j8 [let power 05 m! j3 U) m& k, R: `6 V
let local 0
8 E3 A1 G2 X! `: b* s: _while [k <[trade-record-one-len] of myself]
) g" l D" f+ P5 h! p0 l' d `2 j% l[5 B6 N, U E" ~. F* k9 z# C5 D
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) / n1 f$ c" M* W5 S d4 E0 b; ~
set k (k + 1)
4 y# r4 }0 T9 j, F. V/ {3 b% O& n5 A]7 C+ o, ? Q6 s5 W" k9 E, ~: Y
set [local-reputation] of myself (local)+ f) d: S0 b9 i0 j1 U( ]) B" [% F
end
$ t- A' g4 ~& t# j% a) k
1 M6 d4 |, ?: h' ~/ M# X9 X: V: p3 Mto update-neighbor-total
0 ]* |+ h- X) t; Q6 A5 _* w+ ?8 {" E3 D+ _6 l; C% X: h( F
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
, ^+ w+ B7 e# `0 E; e: i4 a! X% ` A( E
: J. {2 C; C' ^ Z
end
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$ Y& h {; K# t5 i7 v# l T1 Y' eto update-credibility-ijl & [- _9 B. `, `! i
3 E/ H+ V$ S. l: d: 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。! I( k/ ?% ?, s/ y) ~ c7 s* [+ t8 i
let l 0* y5 K0 t2 D9 P+ {' Q; }
while[ l < people ]
/ |0 g2 }6 _2 j/ Y' h' r1 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
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let trade-record-one-j-l-len length item l ([trade-record-all] of customer)' m: c, k5 y( T! h4 M
if (trade-record-one-j-l-len > 3)' \1 e+ l1 i" c( \/ g! D5 e3 p* ~
[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-one0 H$ \5 Q/ G9 n/ a+ a+ W
let i 36 ~! X# Y- ~, ~8 W6 Q
let sum-time 0
$ q( j( x- `: [" S* \1 vwhile[i < trade-record-one-len]
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) q* `) B8 R- u; @set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
% X5 g4 N" [; A% W/ W* l& u, V, N9 Fset i* m$ A7 E) I3 ]( K, T
( i + 1)
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let credibility-i-j-l 00 a& b; ?) A0 I+ F5 O" Z& e( F9 }
;;i评价(j对jl的评价)
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# v% @4 ]8 t1 p- Dlet k 4- y1 P9 P4 g' q" F o3 _
while[j < trade-record-one-len]
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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% r8 r5 B) i# T" X1 s4 s2 _
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)' |" C; A4 {# S! z7 a7 g$ h, x
set j3 O; t+ O) T. `, i$ t" g
( j + 1)2 d9 O( N+ f9 u3 K& W. |2 V' k
]' L, b' N& B3 G0 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 ))
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let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
5 B/ t. r4 V( n4 Z- S;;及时更新i对l的评价质量的评价( O4 V- Q3 ^+ k) X, z! a! a S# i
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
7 w7 A) Q/ W1 `0 l: |! t* t# e- z, nset l (l + 1)
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to update-credibility-list" | L: I7 g0 x3 |+ F
let i 0
* ?; E- p, f! Z7 uwhile[i < people]
* k+ f1 h9 p4 v3 k[
7 B% f$ ?& b8 s/ m- a$ Ylet j 0& o$ S7 Z2 e! ^* o
let note 0
) y! y$ J8 d# Nlet k 0- ]1 w/ _2 n8 o+ e- w4 F
;;计作出过评价的邻居节点的数目- b# ?5 X3 {: I9 X, J
while[j < people]: Q* E# b+ o; K! v; Q5 d
[# c1 H3 f( o+ U, a) @
if (item j( [credibility] of turtle (i + 1)) != -1)
9 J* \& {/ T* m. ^( @, r9 E0 J* K;;判断是否给本turtle的评价质量做出过评价的节点
! j* o( |2 i x$ E7 |[set note (note + item j ([credibility]of turtle (i + 1)))5 x2 O j/ U/ k( ~5 i9 v {$ R
;;*(exp (-(people - 2)))/(people - 2))]; T& A- J& t4 b0 q4 S- u
set k (k + 1)
) n$ m9 ]( X( o: n6 p0 N1 G]
9 l7 W, x5 R% ~4 Hset j (j + 1)
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set note (note *(exp (- (1 / k)))/ k)8 b5 m- ]3 ?8 x5 F1 _
set credibility-list (replace-item i credibility-list note)( [4 O/ V& c+ |- i, m& e' D3 G
set i (i + 1)6 P* Z" `% y5 Y& P7 [$ N$ p3 r
]( ^- u8 Y9 o d; q/ ]! a
end
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. Q1 @3 Q4 Z% [( v: b& i8 Fto update-global-reputation-list* s6 @; C4 n! F4 d' N# Q; k+ L* y3 U
let j 0
, A5 A( t G5 b5 t. Mwhile[j < people]
0 v* _% S. W/ o' W6 j. x[
, E' j# p" A( v% i: Qlet new 0
T! T6 h: l# }- n, A4 a- `* e9 h! ];;暂存新的一个全局声誉) y( l6 T2 Q* J; X9 O: p5 n5 n
let i 0" Q* B& D% @; _( f5 `1 S; L
let sum-money 0* D2 ?6 S5 v9 Y- f* m! [5 n
let credibility-money 0) [+ s8 A6 J* ~8 G$ w _' I7 E
while [i < people]. ^" T2 E0 a X K m8 E
[% v+ b/ x4 C6 _* Q# }
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))! g" U0 ^) S7 \7 A$ _2 p
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
9 E* U& z0 o" H3 @$ [set i (i + 1)5 x+ o# L& j* |6 ?9 i4 q' T* `
]
" I, ]5 j, H( a1 }6 nlet k 0$ A2 Y$ _; h1 [3 g. N
let new1 0
4 I, u+ G8 z8 k. }. |% J6 ywhile [k < people]( {3 b8 O. m" Q) h, w+ v
[
1 C1 e8 k" r6 s6 Cset 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)
* g$ r9 j7 v. c4 R4 t. i2 cset k (k + 1)
, G/ M: K2 ]/ y& `]
. C/ a7 Y# {! j( bset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 3 Z; q! |' B' a9 W, G" F
set global-reputation-list (replace-item j global-reputation-list new)
0 ~9 T" k8 ]! p$ J! Dset j (j + 1)3 ^, b- v) t1 a: }4 G
]
: w0 x; L* w+ B8 m$ _/ }end
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to get-color) V4 ?% x3 L6 @ Z- H, U& t
6 N2 t {4 j, r( S5 ?* yset color blue
0 u& ^& Y x4 C! e2 t, send
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to poll-class+ J5 o; f& B) o3 M- _9 a U$ b
end! d& T' s, i7 x0 S9 o
?, n; T6 t- \: l6 K$ n' lto setup-plot1
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7 E. w1 Y9 Q, i, L0 u l2 i ?set-current-plot "Trends-of-Local-reputation"
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set-plot-x-range 0 xmax
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+ B; T" l2 M1 v+ P. X- e0 kset-plot-y-range 0.0 ymax
! D( E y1 _, A6 ?1 {5 |' |end
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- P$ B/ U2 k) c, b2 k7 fto setup-plot26 h/ Q; w9 A8 v# _3 y/ ?" @
/ U3 p: c [- m' M, f: Mset-current-plot "Trends-of-global-reputation"/ t0 b' E, v! c: S' C
0 ~ ^/ J) z7 `set-plot-x-range 0 xmax! ?& |9 B( N B7 {' }5 Z( M
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set-plot-y-range 0.0 ymax1 H, p. B( \; Z, |
end
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+ j' K* B# @9 w8 S3 ^8 @to setup-plot3+ v$ A }% G+ [% I5 I
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set-current-plot "Trends-of-credibility"/ e4 P5 [5 M4 }, f; d: S+ i
- Q2 K# E4 Q" J9 ?" x( cset-plot-x-range 0 xmax
: j: s! Q+ h9 K* J- ? v+ x5 l! x: ?
set-plot-y-range 0.0 ymax6 |! I1 J+ y1 B7 i3 o$ _
end Q |. @: z. z. j! H
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to do-plots
: W0 [! k+ y' e- rset-current-plot "Trends-of-Local-reputation"/ ?' p) ?6 [( N& w" m7 k
set-current-plot-pen "Honest service"
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[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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