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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$ s: ^) [9 C8 w9 n
globals[
1 Q: [. m! V9 R- rxmax+ X7 |' s) P& u) j( T
ymax
' U# y: H, D2 B2 ?) E2 D4 ~global-reputation-list
: Z. m. F. n& E/ n( M
; w0 O# W1 N9 p* R2 i: V8 }) e# G;;每一个turtle的全局声誉都存在此LIST中9 I& A: P3 s5 }# B5 D3 C7 U* t
credibility-list7 Y) \, B4 q& i: U- D% s, c4 \
;;每一个turtle的评价可信度
0 i( a- ^6 [5 Ehonest-service
' R1 v: N( A5 S) X, Gunhonest-service& w) `3 _* Y& _* G6 r1 T5 L$ i
oscillation& N$ a% H9 S ^ B. s5 K
rand-dynamic
0 p( K, T1 I, D6 P- j1 t]+ {$ f' F. I9 |' i# p/ j
4 W$ ^: P; {/ ?2 Oturtles-own[) e& z& h; w1 |! B1 @; T
trade-record-all" x5 S7 y& Z: V
;;a list of lists,由trade-record-one组成
3 F/ Z% B6 v, n( k; E0 }trade-record-one7 s/ o; V" y) ~; g) i' `7 a9 F9 S
;;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 f5 v% z( N7 K: Q/ c
" o6 B9 F; v* V' ~8 H& m;;[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]]' C- v( L- u5 M, W, p# P
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]
- F) L' }* ?6 `( A# a7 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list5 U# t5 U9 Z- X/ V( k& x# ^- X# r
neighbor-total
- b5 t3 p5 `. m4 z! l1 U7 `& s;;记录该turtle的邻居节点的数目+ }" _# X. G5 j, S; m
trade-time
9 L9 A$ j+ _& }/ ?3 Q;;当前发生交易的turtle的交易时间
6 V6 j ~* e) _% T* O% J1 rappraise-give
6 ~$ Y8 e% X, D$ {/ n, d2 ]% {;;当前发生交易时给出的评价1 L( ?1 Z( j" t" p* v$ E9 V
appraise-receive
6 z- q( x' ~" T4 W4 G3 Y7 {;;当前发生交易时收到的评价
+ E2 a3 q+ _" I! O9 Uappraise-time4 q% L7 [% \& O4 y2 l8 B6 V
;;当前发生交易时的评价时间( o& u a3 {% X I4 z1 R
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
% P- O) w( @! W7 M- Rtrade-times-total
* N+ \# Q# t* h! X;;与当前turtle的交易总次数
; `$ K! c: X1 d8 b$ O# G& Vtrade-money-total9 y7 E7 J- f6 @
;;与当前turtle的交易总金额
9 F- W. ?- U- jlocal-reputation
; \$ R, Z- V/ _8 d! x, xglobal-reputation' @3 z. e' m( g# P/ a* g! t
credibility
* z7 W1 \1 L: ^9 M;;评价可信度,每次交易后都需要更新
% p& S9 }4 V' G( p+ m7 ^4 Z9 {credibility-all
- ~% T: F- b, o K$ Y4 L+ w;;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9 j/ A6 d4 m# W
0 a& k E7 L7 j$ X5 D
;;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
! \9 W v2 U! R9 r( L" gcredibility-one0 z4 D9 Y6 M. F k
;;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& D1 x- x9 V2 v5 `6 m% K
global-proportion
5 ^1 s3 W( A& I" W1 t) dcustomer j& }. a. W1 G. ]5 B
customer-no q9 y9 h8 q' @2 Z9 p! f$ a1 z
trust-ok
1 S0 ?, H- N; l+ W9 J! p3 ltrade-record-one-len;;trade-record-one的长度
O* V7 _3 G8 j1 U9 b]
+ o7 S5 `; y: [% @% m* @3 a9 Q' ^& f- ^3 N' Z- _4 R+ Y% J
;;setup procedure
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n0 o9 O, @* S( K L! ato setup
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ca
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initialize-settings
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crt people [setup-turtles]: g: K+ @ t/ P
% @1 @. ?" ?$ o* N9 K2 N/ w6 N& w' v) Mreset-timer4 x5 P/ j. P( ^% i% Q
9 J/ Q* D7 m0 xpoll-class
, n) |9 }8 f4 b
# ^" `) f2 I$ r! Fsetup-plots
+ c' n. v6 c, `- |2 b7 h" s4 I6 T4 ^- A6 l7 S5 l, N i
do-plots7 w' o% m6 s2 f9 O0 l+ d+ N( i
end
( h7 W! ], X' h; [5 o0 }: L6 C6 c$ ]9 [ L1 M2 Y, t5 _$ c5 x' f
to initialize-settings
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1 \$ B' T* F' X) N9 wset global-reputation-list []
! d/ G1 K |. ~
+ g9 Z- g* H5 h$ N8 y* m& gset credibility-list n-values people [0.5]8 j1 f* ^9 P' l
n& T8 ], A" X- A0 a/ c
set honest-service 05 D, s9 C: ]+ F( M( Q. n
) i( E) q% E$ {
set unhonest-service 0# h f$ C" r$ g, g& r0 d
' u1 T+ k% n" l3 [$ S
set oscillation 0
X9 ^, N: D6 W0 x2 R7 Q% N A: w; n5 w" @5 \
set rand-dynamic 0
6 z' q" f8 s" J! r1 Zend
: {7 ~' U6 |8 o1 L& k2 ^: X2 U( b; I, l5 P' g. ?6 A, d& ^2 Q
to setup-turtles ) k4 z9 L0 y z! v8 ?) h7 x1 b
set shape "person"% F/ y9 t& P- q. r; ^
setxy random-xcor random-ycor
4 @3 a c! ?% r. pset trade-record-one []
- }% b" [ G q* u5 N" e
9 C: r$ R+ B: J0 U+ wset trade-record-all n-values people [(list (? + 1) 0 0)] . t0 [# ~ H% W, u& K
6 H6 v) C( k& H8 eset trade-record-current []
6 T: S( l8 u$ i5 sset credibility-receive []
5 p+ O. e- R) P$ c$ V$ pset local-reputation 0.5
& Z8 q- B; ^( q, U- qset neighbor-total 00 ^# w, j4 m. a- l3 n
set trade-times-total 0% w( h2 O# A! R* K% M9 Y& m+ b
set trade-money-total 0
5 h4 g) A' E' R/ X% y+ L8 u4 Tset customer nobody& H- F- R! q6 f6 P) R0 O; O# G
set credibility-all n-values people [creat-credibility]
* l, v! {. m" T$ H% s1 s2 \4 oset credibility n-values people [-1]$ i. p: t$ q+ H
get-color. J& {% o! n6 n" B1 O% s
H% n; \& d% x2 R& M% Z! w
end9 R; Z* s' }" R/ v( a
& i/ ]& z8 Y6 k7 C
to-report creat-credibility; ^5 U- d" f& U M0 h0 q( V
report n-values people [0.5]
' K8 `' h/ V; U0 F$ b8 N& R+ m& Cend. j; Z! f# V7 D
% m; d F6 V" k
to setup-plots' b0 U. h }) c% c, C5 C" e, [# B
& B8 n ^# u$ ?3 K5 [, P
set xmax 30
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3 [8 Q8 c' E; hset ymax 1.0
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clear-all-plots2 z0 u7 B7 ]4 b" z [
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setup-plot1
+ b+ d- B8 A: @2 o: U m% p! D& v8 L1 i
setup-plot2
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setup-plot3
& q( k8 c; l# ?end
9 W7 K4 M# i- q+ f+ D! \+ f
' m2 P6 L; E$ f2 @" j+ x* f8 |' \7 _;;run time procedures
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; S9 S4 A8 J6 L, a9 Mto go* p+ s, n% F8 m! N
9 s) I/ h, Z- M, f- Hask turtles [do-business]
, y6 Q% o9 m$ e+ W# Zend: Q* ]0 J" W" L0 j/ r3 Y7 }5 P! d
5 Q/ T& }( @; s% E( \1 Tto do-business 1 Y8 _) r* T! T( f
& a5 N7 ]3 i3 l5 y D
% O4 ~' \1 G5 l
rt random 360+ f: B& ]- a6 m4 |& @4 n" y
! p; _- p. l" g) Mfd 1' g* e- B! M. k3 I
& Z) @1 g$ l/ P8 |5 Mifelse(other turtles-here != nobody)[
' ]; a( d. L/ y3 z9 K7 k$ Z3 g& x3 O ]" ^4 e- ^
set customer one-of other turtles-here" W2 P! F! [7 Y% U2 ]
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;; set [customer] of customer myself
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7 D2 Q' z! V9 F( t. wset [trade-record-one] of self item (([who] of customer) - 1)
1 \, a, k, ?: g4 x3 Q[trade-record-all]of self7 V3 t7 I; E) s- l
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self- _- g, f/ G1 E, J, j
0 I' V A' @2 |. p, n% A+ n; W3 ~
set [trade-record-one] of customer item (([who] of self) - 1)
8 M0 P% c1 v8 f' \8 L6 ~[trade-record-all]of customer
+ d8 q& q" ~- _8 J) k6 K! z3 S$ ?6 A8 \( `( u
set [trade-record-one-len] of self length [trade-record-one] of self N9 R( O# J$ Z/ B6 ]! c" p
6 [( T) h; z' z- N4 l5 Z6 j
set trade-record-current( list (timer) (random money-upper-limit))
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3 v, o, k N |- E. jask self [do-trust]1 M, Z) \1 t) Y+ F, y" ?) I) I
;;先求i对j的信任度
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if ([trust-ok] of self)
( X' B b# Q H/ v) @- v2 ]6 A+ Y;;根据i对j的信任度来决定是否与j进行交易[3 y4 u+ k9 Q4 b, ~" V v+ F
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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[
8 @ D2 j* n2 w; i/ T
+ l: ?$ r* `1 S3 |! sdo-trade( z# b' p4 c, {# N0 o! ~, S
5 [, b. N( R, l+ n9 C$ p
update-credibility-ijl
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update-credibility-list# ?! s3 ~& `$ u$ b1 _$ O
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update-global-reputation-list% E8 E% A4 ^! J0 Y- y
+ z* z- E/ `+ F9 rpoll-class
9 ]9 ?7 h8 S% D8 j( n$ Y& f" G* U; B3 F2 d. H3 M& C2 O) B
get-color. f6 B; j6 [# ^( w$ h2 O
5 |. r# q8 m2 L& \]]: Q$ z* N$ ]; {$ Y! Z
" ?8 d( [% d3 @5 J3 k;;如果所得的信任度满足条件,则进行交易
- i& j' V/ L8 ~, t2 W& H
# i4 z( L4 h+ ~" {3 a$ f9 Q9 {[$ R; ] k' `; u) p1 w3 ?
1 h! U) }& ]9 w) f6 Qrt random 360
- ]$ P6 y) N9 v& J, A% F3 J3 E& y0 \+ r/ V9 ?: I, j
fd 12 C# [, b' Z6 u1 z7 r. ]- @
7 ? T" F- U0 G) f8 P]: v& v8 ^3 Q* \6 m. j8 r K$ s
: k; Q8 X4 B% z7 {end/ K3 R$ _# _. j: A7 z* J! J' s2 E
V8 t7 `+ a% p9 Z, `. B
to do-trust ) C# Z* `0 w3 s3 X$ R, N( @
set trust-ok False9 o6 z$ q! q; }" m2 h, C+ b* Y
% }. n1 a4 {" `9 {% s- Y# t+ d4 D* i5 @6 A
let max-trade-times 0
, V; B9 P5 q/ U2 H4 q: ?4 [foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
! O, E1 M ~, h( j1 C! t ]let max-trade-money 0
1 z! W( ~" p! `+ @1 Nforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
+ J% O& J/ b! G1 f; K% B( slet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
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8 ~- f6 |; M2 v3 P; i- B" F( U, b# J% Z, Q: M3 a
get-global-proportion
' |8 W4 I) A2 j* f3 x* Ylet trust-value1 i; }: O* w& P Z- @" i% Q
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), ~' R( M0 c* Q$ ]$ r3 p
if(trust-value > trade-trust-value)
. b3 k/ R( M% u& A6 U$ F' x[set trust-ok true]
1 I! h' i( k% `' s* ]6 qend
0 u) x$ E7 U. d n3 c2 A+ z& C
2 ^% \2 |5 W5 a( a# H2 Fto get-global-proportion
4 u5 }( w5 e! p- f+ Hifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)9 W& o( ^) ^+ z, C/ B6 ~
[set global-proportion 0]
& C6 j; y; ]: o6 f6 Y[let i 0
( o! ?: z* N' U9 z, N vlet sum-money 0
; j( y& N; l7 z. Kwhile[ i < people]
* z5 ?' N) K3 I1 o; j2 S1 Q! C[0 s! B$ s2 n" |' M4 \6 w8 y5 ~. i- l3 O
if( length (item i% E7 E; x+ m9 [& t8 `: B
[trade-record-all] of customer) > 3 )! a2 @% g0 R/ p6 S* J* a% p+ D+ T
[
5 a+ x, f$ ?; g1 M% cset sum-money (sum-money + item 2(item i [trade-record-all] of myself)), R- `! t* z2 W" [- h# P
]6 c6 w- O' N4 h g* p; X
]
/ M B+ Q/ V! k# I W* _( blet j 0
) y: l2 r5 `6 llet note 0* J" S9 g+ R) O
while[ j < people]
& L# c& r* v5 S6 r4 o[: L: I: S# }4 i
if( length (item i
+ \0 |$ Q/ E# k6 [' o# B. v[trade-record-all] of customer) > 3 )
1 v d6 p' Z7 ?[
. Q! `& V( I1 b3 F, g( y yifelse(item ([who]of myself - 1) [credibility] of turtle j != -1). T& n$ a0 X( ~+ p7 d$ E
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
& p3 b3 y5 B: x: d" b[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]! y# x* W) e, @7 {; U% y: ~" ]
]
T" t' ?, h- c+ T1 P3 Y2 o+ o], P W1 }6 i8 ]- Y, l0 U3 X9 T3 I
set global-proportion note( l; o+ T* M$ ~8 w3 |1 N
]& ~6 O6 X7 d$ V' _1 _9 s( o2 B6 ^
end( M% J3 d' p- A, ~8 v/ j
# f( k9 M0 m& ]% _to do-trade1 m+ s$ K' e0 M
;;这个过程实际上是给双方作出评价的过程8 R7 `# d& |# G: X1 w( P0 @
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
; A' b2 p$ J) S+ b+ Bset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价) g# j& A3 |" m8 y, o2 D9 A8 {
set trade-record-current lput(timer) trade-record-current* l! z! L9 r) D% |* c" Z2 e; S, n$ B: r
;;评价时间' \7 }; y- ]: F8 c3 q
ask myself [
' T- j- {; y V7 O& o, d8 zupdate-local-reputation8 [. ~- R# A6 w" Y
set trade-record-current lput([local-reputation] of myself) trade-record-current% u7 Q( E0 [9 P3 _
]+ Y( t1 j! Z$ n6 Z7 X, ^
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
; Y+ I9 `% E7 M& p b# Q;;将此次交易的记录加入到trade-record-one中
$ J. V) N: U4 eset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)0 d! ^. X2 X# ^0 c8 e7 c
let note (item 2 trade-record-current )6 u6 s V, f& j3 p+ X
set trade-record-current* [6 [" f& o; }/ h% u: A
(replace-item 2 trade-record-current (item 3 trade-record-current))
& r- u" @) @, Q' k. o; ~set trade-record-current
# m/ h1 A! M$ d( a* X(replace-item 3 trade-record-current note)
+ K C3 u% j5 {( b- H) o2 O8 H: _$ _
# e8 v2 l# Y! |: {& y3 K; |
ask customer [4 _: F9 f9 m& P) y8 ]* ?2 l1 Z8 q
update-local-reputation5 I- U0 q! k- \4 P b" n, }. E" S
set trade-record-current/ l9 ~. l6 K5 @4 \
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
% {( Z& k, `3 o$ M' Q: S. C" s7 O]
+ Z+ x/ h( G+ k. s$ I( A$ \5 Z( m2 l6 O, C1 S& L
0 }0 V+ M+ U* x/ `6 [
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
0 @& x4 ~8 x2 }) N! t' T. w
. v, @% v9 @3 [+ K; Kset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))1 I3 p7 h) t: V4 u |; D; h+ x
;;将此次交易的记录加入到customer的trade-record-all中
9 Y% r. K2 Q$ Q1 ^! t# y. b- ?end4 j3 b) j2 Q% z- Q
$ I% e. u+ v3 ~; {) f$ s8 P; Sto update-local-reputation0 {6 ~/ k7 U8 V
set [trade-record-one-len] of myself length [trade-record-one] of myself
9 }0 Z# |6 ^* q" q: B( [" ]2 a' F5 U. n- t
, _! J" o! D3 S! T0 l! M m) \
;;if [trade-record-one-len] of myself > 3 . s b+ Y) I7 E& ]
update-neighbor-total, G5 M V8 G, g# M* F3 F
;;更新邻居节点的数目,在此进行3 m$ L- q! r. X* X5 ?' F/ j# w v
let i 3
4 Y1 O" g, X* M( F2 p0 c/ l) l. g; slet sum-time 0
9 `- Z5 P3 G2 U2 h6 `$ ]while[i < [trade-record-one-len] of myself]
( a$ C* F2 z- O' e# x; W* f* v[
& f0 g9 Y' j7 {. Rset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )" W7 I( a K. e/ E6 {7 i6 Z; z7 v
set i3 P4 R/ F! Q% Q
( i + 1)
% T# d0 E( h, [9 J]6 p6 g4 b: K( M: t6 B
let j 3& s( X8 J: d# r3 M( k
let sum-money 0
; ]8 x7 z3 M+ Bwhile[j < [trade-record-one-len] of myself]) Q9 e3 g& X f$ v0 K6 o- x9 l
[' b; i% p% ]% k4 w5 n$ V6 S* f
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 o6 \ z; k$ Q8 I! R
set j: l9 K" `1 E* o8 n& _1 y9 p7 N
( j + 1)) k! E* } t; `& {7 E
]$ W- `6 E5 X4 Q; r! v
let k 3
7 Y. ^, w1 o& e+ }3 dlet power 0
$ ~, t/ v9 t4 c2 }' J$ elet local 08 \* N1 O, N- e% m- A
while [k <[trade-record-one-len] of myself]' N0 i# C9 l. i- ^4 P
[
; w* q5 ~5 s' l4 _" B! ?" ~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)
! Q/ [! G2 R8 I/ n" R( Jset k (k + 1)
) b% q8 F2 ^1 }( E]4 g' E# p9 I4 m" Z
set [local-reputation] of myself (local)
% C. P( v0 Y5 R9 Y& |- hend) k$ \5 J8 ^# |/ T. o% g( Y
. i' W/ g( z6 S0 Eto update-neighbor-total
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q2 x4 J6 f2 t9 c, B% s* ]if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
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6 n' p- l% f) L" K5 r kend: ^; o! }9 a; d" n
) L% Z3 J: N# ~+ n- K: Wto update-credibility-ijl
7 Q* }2 } ?4 I# h1 R8 I- r8 l) D) m% W& W) Z$ c/ ]
;;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。, Z1 H& I& ^0 ~3 M1 W! K
let l 0
3 E6 Q$ m$ i: E( N' k* b. t0 n" j: qwhile[ l < people ]; e% ?/ Z; G$ Y6 i
;;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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& a- d r3 c% w4 \+ ]" ^7 G. u2 m Llet trade-record-one-j-l-len length item l ([trade-record-all] of customer)4 q9 H; y4 k5 {( ?& ?
if (trade-record-one-j-l-len > 3)) x, K& i( f& N8 p( w+ r" K% 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-one. k4 l% K2 h. W" L# E
let i 3
3 x' M, y- ^8 C% g. B# E# Plet sum-time 0
1 `/ ?) j2 g) ~; W; v3 Rwhile[i < trade-record-one-len]6 H9 n# l2 s$ r# o
[
; w2 S& K/ {+ b' F% f/ uset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )" V+ W$ `4 R8 l5 G+ D) U1 L7 q! d, a
set i/ S4 o) Q$ A y0 T5 B, K! A2 L7 x- ^
( i + 1)& H: J5 M* |1 E, f& A: u$ q
]+ u4 G9 C# p( X: R9 C0 V
let credibility-i-j-l 0) A$ k6 S$ z. B- i3 f
;;i评价(j对jl的评价)- ~# D* G& g, f2 n4 a
let j 3: y S& I+ V3 r$ p5 D
let k 4
6 g6 c( a' F0 w3 Y' nwhile[j < trade-record-one-len]+ F& z9 `. X/ l& C+ W
[7 p5 x- |- v7 N8 J) U( B c
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
. \; i1 ]! F5 e5 a. ~) ?. i4 K. @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)+ `- R2 j8 j/ l* A: _' F
set j
. c) \2 G$ O8 ?9 w( j + 1)
: t; c, L# C. R' l) T- B7 N f+ d]+ b1 o8 e7 \0 i7 [1 G$ y
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 ))
, G b3 T3 u+ X& E3 B
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let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
2 o2 h$ p7 x8 S1 N0 [4 @/ O1 n;;及时更新i对l的评价质量的评价0 ~4 @, L1 @/ z* A! @8 U
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]. E0 ]( W; \/ Y: m( i$ w* v
set l (l + 1)
) ?" m' I& }. c# j R0 q- o]5 ^3 i! a+ N+ B) R; X
end
6 I8 T5 ^. G- e: q9 w2 Z: ^
& l, e1 |/ h1 [& o/ [9 |+ ~: oto update-credibility-list
5 X4 m1 D/ C/ c2 l2 H( |let i 0. ] E" Y' p. O1 p6 m8 h* U
while[i < people]
; i- q* @ d. a! l+ T[
7 m/ x, {! R3 U& H$ d6 Q5 Ilet j 0
8 ]+ X1 u/ K3 c, b" \8 Llet note 0
9 W6 z6 H5 l1 I' P- N7 T' Plet k 0
; P* L5 q' S( Y, N# y" t9 _3 o;;计作出过评价的邻居节点的数目
; M" M8 w: p7 [8 j$ wwhile[j < people]# r# Z% l6 k% m, w( G8 d
[6 T, x8 `- F) f( d( w
if (item j( [credibility] of turtle (i + 1)) != -1)
5 f3 y& k( b# B& |) {/ A;;判断是否给本turtle的评价质量做出过评价的节点
+ {0 P% l2 f" ]) b8 w[set note (note + item j ([credibility]of turtle (i + 1))); r0 N- F i9 `1 T3 r
;;*(exp (-(people - 2)))/(people - 2))]
2 @- o' z9 e( V" I- cset k (k + 1)7 ]" H4 [2 f- Q `) O
]% ^4 e# r6 T) I( l; p! f
set j (j + 1)
0 ^5 O% k4 n" l& I* E8 o5 z]
% q4 o; a0 z5 h2 n- p5 s$ oset note (note *(exp (- (1 / k)))/ k)
6 g" a+ ^# e0 y4 jset credibility-list (replace-item i credibility-list note)
+ ?# H7 R* a! b( H& d" L# j0 fset i (i + 1)
6 T) g: x& n+ g6 i], \# a7 z: \" ]& E0 w2 _3 X; ]. Y
end! t5 G2 n( K! g- y0 ^; b
4 F/ ~0 M0 n K. ^" Fto update-global-reputation-list
) _# w! w3 |9 Klet j 0
0 q2 s8 w3 [ k% m( |while[j < people]) u, |) u1 [0 x# y" p5 s
[1 C% [& r/ [. X }* P/ c) ?
let new 0
- U; j4 M, s" V; s6 |3 [;;暂存新的一个全局声誉
, F& S$ k3 A$ @ E9 X0 W3 hlet i 0
: T# }/ _' Q, a5 r' u) g$ C# qlet sum-money 02 f# ]' ~4 f) M0 G( l2 H
let credibility-money 0
% D' F' h+ |# S: q" E: Y9 Wwhile [i < people]" c1 {- J, d2 |3 ~8 e2 X) q1 a1 D) p
[) G0 ] i5 l+ @4 Q
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
5 }" h8 M, i6 {4 T! q1 mset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))2 p' Z; q# Y" Q* f5 m
set i (i + 1)
2 \! G$ P3 L) G {/ D2 i3 p/ ~]
! O5 `) D# x. I; D' d9 Y6 K: Klet k 00 J' ^) G! q6 v
let new1 09 C, | ?+ W( X) k3 R2 D) j3 N( T
while [k < people]; a( B$ u7 i4 X5 X
[
8 i0 p* g0 i! E* @$ G6 Yset 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) f# c, [! `4 |3 Q
set k (k + 1)
0 e7 H, ?$ ^5 W6 b3 a- R]) X7 N* k% v, o
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
$ |/ f$ `1 @* W: W! e7 R0 f$ sset global-reputation-list (replace-item j global-reputation-list new)
8 h7 d7 d8 w* O" Sset j (j + 1)& c' h+ M! A7 l- r6 N, m/ c$ A1 F
]4 `/ {4 u1 x$ S9 Q: b
end% V! u0 K' ?1 ^3 N' a: o3 h& B- t
0 V' R5 t% H/ N$ x; ^! l
4 {, F. B* o3 l" b2 i9 q
; o! Y0 z$ c7 `: p* y5 o& C( L' X2 Nto get-color
3 d! u; q: b7 y; d6 c7 p) V: z& V) [8 l" T- H; P
set color blue
/ A" n0 j2 {* w- send. }9 L# t" v+ u" B
2 Q9 N5 Z0 i7 Y( ~0 h
to poll-class! S- O) X$ b5 X
end
! N" Z0 W; B, A9 H4 W) P: y) @; r
V7 k8 n+ x/ p( ito setup-plot1
' S0 A! I0 @/ o. S. \# {3 d: E" Z: h
set-current-plot "Trends-of-Local-reputation"- L" j6 f* L' V# e/ }$ G% ]/ h
; w, i6 r8 [" n9 }7 b0 C: X% sset-plot-x-range 0 xmax* S' H/ C+ j$ F7 p( Z' _
6 b- u% `! Q7 ~1 Y) a3 Lset-plot-y-range 0.0 ymax4 X9 p- G5 {# o5 n8 Z& N- C% J
end
3 G8 Y' d7 q6 U2 \0 o v) e- }) s: x% @/ ?, Y0 }# ]
to setup-plot28 M: X$ k0 z3 I
6 J0 o& K% @& |' c
set-current-plot "Trends-of-global-reputation"7 j; d' g6 D1 E1 @6 @( p
8 l3 D+ j4 K! p3 b) p, o7 m
set-plot-x-range 0 xmax
" f6 l3 g5 v% f) e5 K! w% k! V3 H7 ?, @5 P! h4 t/ K/ g- h/ A
set-plot-y-range 0.0 ymax
+ g- Y2 R- j3 }0 m% Iend
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4 H0 M4 e( M& Y2 qto setup-plot3/ S/ K' M6 E. d2 R1 K% c/ d) E
& p5 y& g) S$ ^, Oset-current-plot "Trends-of-credibility"6 D4 w8 o8 v% @0 x% g W+ m- z U
! `1 h7 n7 V) ~
set-plot-x-range 0 xmax
9 I) ~8 h. p- d0 w# f! T8 h5 K2 y- F$ A! I, u W% S! d
set-plot-y-range 0.0 ymax
. p- l' W1 m d! R Aend& |) h% X3 [' L2 o8 w, {" e
6 |) o9 T9 D# |6 P, ]
to do-plots" }2 P C3 K1 u0 x' T3 M
set-current-plot "Trends-of-Local-reputation"6 t- C* n+ c7 X+ ]/ l9 C0 f
set-current-plot-pen "Honest service"
4 C' y7 `9 a1 k' _1 fend. N1 Q5 P9 \- T3 ` l
$ O7 v4 B$ z$ e" a3 h& }" n[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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