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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2 e; P5 Z( {+ A2 D. m
globals[1 z6 a$ Y% Y! V. c3 p
xmax, {) y; X8 t+ D& o$ A7 V
ymax
# a3 ?* B5 E R! `4 pglobal-reputation-list
6 I- p# o3 V, M2 J, ^! \' {
. `3 R. ^+ {- V: V0 p;;每一个turtle的全局声誉都存在此LIST中
4 _, W. [) ~ i6 Vcredibility-list- d; a, ^" \& u, t5 ]/ M( _8 ^
;;每一个turtle的评价可信度
1 o8 z6 E8 o5 E9 [% ?( Y1 shonest-service
$ a/ E9 P& A% n9 ~unhonest-service
" [, B% x6 c; R/ a5 C2 z2 koscillation
# u* n) m* u$ T% W. X8 Nrand-dynamic1 A3 g/ h; k) s5 l& V. o( A f R( p
]
- G6 `7 J! S( z. z; c T) h$ C! I# A0 D8 r# R4 F! D/ q
turtles-own[9 ~2 C! _* ^8 e0 x8 q$ A
trade-record-all
8 c; p' z. I: M2 L- H;;a list of lists,由trade-record-one组成7 k1 ]9 l8 D- _3 I# ?8 i) X4 o# C! q
trade-record-one
, |. l/ P+ k% ?. N# K4 T$ P;;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/ w; A& r2 N* J/ c N
/ m& r4 H B% F% t8 F4 H1 y9 U
;;[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]]7 H8 x$ N* O/ X1 R
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]
) q U/ f+ I" @3 J% ^- `6 Z; Q6 N, jcredibility-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
6 b+ ?; m b$ [0 Q" Ineighbor-total
5 a( e- |8 K6 N# V;;记录该turtle的邻居节点的数目' m( t1 _! C, W9 f- w
trade-time8 k f; z" i) F, g7 E* [
;;当前发生交易的turtle的交易时间/ o# C8 h I# u5 X# |
appraise-give( U" d; {9 i' b* c" u
;;当前发生交易时给出的评价( x0 a/ |* B. j+ M% w4 F
appraise-receive/ k9 |% C$ ~: f
;;当前发生交易时收到的评价
! i5 ^4 G( N( ~7 n/ b ^appraise-time- o* }$ l4 N1 f! W) H
;;当前发生交易时的评价时间
9 z* d. h) j# ?local-reputation-now;;此次交易后相对于对方turtle的局部声誉
; H7 @$ Y& r( X3 d: [8 W% K2 |trade-times-total
& c( g* N* l6 z3 e;;与当前turtle的交易总次数2 F1 J8 o" O! }8 b- v+ l% u
trade-money-total) J/ P+ ]/ L; s; M6 X6 c
;;与当前turtle的交易总金额
* `# p! B0 l% i" slocal-reputation
. D1 `( h: h2 a8 I4 ]9 kglobal-reputation) p8 r8 z( l+ C6 i3 s0 f0 ~9 T, N& r
credibility
, }) c' g4 h5 N- |0 i# i( a;;评价可信度,每次交易后都需要更新
$ J x( ^% @. n! Lcredibility-all
$ u) |: q& w& D1 S3 }% \$ u) M;;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: k- l* [, _# r3 o
# q5 @* T( k( h/ D/ n1 y! e
;;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
+ }/ t5 L( q$ I( q3 hcredibility-one
* v7 W9 d3 g/ F7 w0 F, ^+ 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
$ B: f# d1 |' I! `( i5 i7 Eglobal-proportion
7 t t# @ D8 ~* ]3 L. S% M3 Z; ^customer: i6 `0 w/ S! o, C+ s3 r! n
customer-no
$ [! E+ D. P; t6 G$ O: Y) vtrust-ok% u$ e- O& g/ H/ `7 S
trade-record-one-len;;trade-record-one的长度1 Y% s/ F$ j8 _4 g
]; K- N; @ ?5 K2 h" g9 e
v/ W+ E, O! r- N0 Z5 o1 ]
;;setup procedure
/ X% ?2 i$ J3 `7 ?! Q$ i$ Z |5 Z* i: M/ p: V* Z0 ~" q
to setup* N1 u) j' D) e* R
" i& \+ b6 x! W9 C
ca- m E+ g! f& K& d8 P, n5 Y! w: v
9 I8 a: X9 P& M6 w( U3 q) xinitialize-settings
/ W, J4 x N5 L( [' q7 {0 e3 B6 A( r( f& X0 B t4 S
crt people [setup-turtles]
" D; ~" R6 j6 r1 t/ K4 m( F7 H z1 V! [* y5 X: N
reset-timer
, Z# {* D2 {8 x7 Q1 Q% }7 j4 ]
$ c4 \2 d" p; J' g3 x9 }& ipoll-class
/ G( e3 O# N# @& P2 K i. ^' ]) }/ d; ] Y5 H
setup-plots5 d0 M: f2 g9 P3 n# ^( a
2 W) e D- J }! p% G
do-plots
! s0 p ^; b1 I, c! Qend# L1 m8 B% T6 }8 M* f9 w& D: ~
$ s& G7 ?) H g( cto initialize-settings" M( h1 |, S5 b" i! I. r4 C5 k) ?" k
9 n6 ^ P; R! ?2 rset global-reputation-list []6 M2 e- e1 P* E" s6 z
4 u5 L* h, |+ J0 Eset credibility-list n-values people [0.5]
4 U2 n" Q( l+ S% {$ R. @0 C" _8 {( y' v
set honest-service 0/ b9 o, j v9 M
4 @. t+ |$ N7 v
set unhonest-service 0
9 X( g! \* u$ D4 \) k* G Y! h
4 G4 q) o' [! S1 g; Mset oscillation 0) [1 p) C" ~" W6 ~
& w+ h+ Z2 a4 |. D- |% nset rand-dynamic 0
" H% d1 `8 |7 }( X5 fend
) B; ?3 S, {3 E4 W
! A9 W- C6 ^7 q1 G' o4 t9 Ito setup-turtles " L* q; m, V0 H' J# }$ M
set shape "person"
3 a4 v" I! S5 c" F9 p+ x1 Isetxy random-xcor random-ycor
* D+ j# Q( I& z6 q6 Oset trade-record-one []
2 b; Z1 a2 O# h- ~7 H2 q, W* ]# M2 Z% W ^# D* K
set trade-record-all n-values people [(list (? + 1) 0 0)]
& L# U! f6 T- X. f* _! L# N9 m
- T5 h( D& _+ Nset trade-record-current []
% D( u: y; k# `& j. ?) `1 }set credibility-receive []
0 I. D) Z: E4 f o& p3 fset local-reputation 0.5
' w3 C& L; Y2 l% b$ zset neighbor-total 0
' P& r' a; L: x( Bset trade-times-total 0, c/ R- |6 Z$ x1 L
set trade-money-total 0
: j$ T4 u$ v; x4 I0 Iset customer nobody$ ^2 I. h: R" S) m& t8 r
set credibility-all n-values people [creat-credibility]3 Z0 S) X5 m* h! o& k
set credibility n-values people [-1]
: d# l; {4 E7 f9 E# Nget-color
( K& |- T( e# e- c: p/ {+ X2 [6 h
3 r" w% [; a! J Z: q0 W9 l5 vend* z" }0 m7 F6 j$ U' [: i( T
# T; [( G z, X6 sto-report creat-credibility
/ Y- X6 s5 |- p, Yreport n-values people [0.5]
$ W6 j% o/ P/ O8 l4 z9 }/ Cend! ^7 [& P* w0 W* X! Q
* @; R% j+ d& H3 T7 Q
to setup-plots
2 c6 }) x' C6 Z S: \, b( j
+ G: E' }3 | b% P& cset xmax 30' T2 V8 G1 J8 W- U# Y* u- y* s
. s, J6 K3 a2 y$ |set ymax 1.0+ W9 G4 H) ^& K& y4 U+ x
L2 P G. `7 Q) [/ l
clear-all-plots, r V/ O" z, V
, q q$ y: E( X7 _6 c r: L( _setup-plot1
7 ^$ D* s \9 z, [. V; @- S' J' t" o/ w. h
setup-plot23 V4 R j0 R% ?7 G& l, \9 J( L
[$ d1 D& B9 r ?, rsetup-plot34 t$ P3 L: O- m; L, I
end
5 T, s: |/ ]5 H* P: b1 O0 x& O, M" V
# N- m+ ?' [7 r, K- D" k;;run time procedures
2 b& C/ v4 r" v/ M$ v t5 p. c8 A6 o7 W2 J
to go+ O1 p: s) k9 w5 u8 G4 J& [! m4 s
7 i' y; }. K0 h; s4 T
ask turtles [do-business]
( x$ n! F/ Z& G- m+ |end7 T+ Q7 @$ K8 F9 b4 z5 u# f/ j
3 g+ i4 X# T5 t6 r. I- T6 N, G# Yto do-business
7 X! P+ ?! {! i. U
0 h1 `- R: J. [$ N& U% n8 ?
9 M! @: `6 Z& Q" `/ J5 K Frt random 360' ?5 ~' }9 h: X
2 o7 m6 `- C/ o6 afd 1
6 E/ `5 u& B/ D! N
* b$ U5 X' s$ h$ Gifelse(other turtles-here != nobody)[5 R* w( i4 L {3 ]6 ]; N8 R
: M/ Y3 N. ^; i5 z2 B5 c) S5 p
set customer one-of other turtles-here/ D l- |$ y- B5 p. b
) Q5 E6 o( i; U1 \7 _, r;; set [customer] of customer myself
5 ^ b" l' g, p& z2 M3 _7 [" e
6 W4 w" @6 h' w4 @4 Y: T# b! gset [trade-record-one] of self item (([who] of customer) - 1)- W) \3 t4 ]- x. a# w& @4 q
[trade-record-all]of self
! j. Z- A' g/ ^9 c1 U; t# z6 `;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self, I4 _4 D$ j' v C4 V% n" A
5 h9 x5 b; y o0 M
set [trade-record-one] of customer item (([who] of self) - 1)( a: Z& O) u. I+ ~' L5 ~. c7 B
[trade-record-all]of customer; J+ i/ z8 w/ f% \: \; y
! x. ?8 g5 r' g4 u8 k. b$ @8 I: S% H
set [trade-record-one-len] of self length [trade-record-one] of self
7 u7 A& K( m5 v: c2 A' H# Z$ e' ~. o: n4 ^/ i R) s$ ?
set trade-record-current( list (timer) (random money-upper-limit))) B% J: r6 q: n# M3 I- L
' z. n4 x! Q! H/ s/ z, e5 N
ask self [do-trust]2 ]$ } _! |9 }& ]8 w v
;;先求i对j的信任度
% P$ |0 b- N3 S7 L2 ]: R
- _" G8 x% c* g- I; q: xif ([trust-ok] of self). M/ e L% ~2 B0 }0 M; o
;;根据i对j的信任度来决定是否与j进行交易[
" e7 y: M. K9 `: z) \. h; g9 [ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
( c' N) i. }4 X8 b6 S* W+ {! U& ~9 H: y2 ?/ k9 a( ^- }( K9 m
[
2 a4 G- _- W& d; n" K
" Z5 {3 k4 i& b, Ydo-trade
1 Q6 N% r" l5 q9 q3 l
1 b; d) Z/ T" Z, Q% o# Cupdate-credibility-ijl
3 s6 C) v. U* k, }& f) x4 N/ |+ ? T s- C b9 G; W
update-credibility-list5 Z* v- [0 R# U2 l; R2 f
: r4 g7 s% c- \9 F, T0 ?5 q
9 d. `1 n" S k& S0 x
update-global-reputation-list
1 p/ J9 r. N* r$ t6 H$ t/ a. D2 H9 \: s& |5 s$ y6 T
poll-class, c/ C0 Z& q7 W
& N' D( ^$ Q8 Q( I8 V
get-color- I( U( I* B3 J$ M2 g, l
2 Z6 n9 T! u6 S5 ~
]]
- i2 C0 \; J" O" J6 W) \' G$ t
9 N# M: h, @$ Y8 C& V( `;;如果所得的信任度满足条件,则进行交易. m. z8 ~! D. R+ {9 s
. L" D2 c% u$ [1 M8 p[# I; s: \7 K2 f) v- h- ?
/ V- n2 B3 Y7 w
rt random 360
O# C! V. ~1 l) Q( D% H! @3 ~/ f. h5 c+ o! t# z
fd 1
0 p" J- |" t9 f! W5 l/ b9 i% Z8 M2 V( F6 G% B9 y$ R0 F
]9 ?, B" x) i/ T
8 X m k* N& `5 \
end& ~$ U D0 w% \! d, _* N* b! }: r
, m# J0 v2 r+ _4 s
to do-trust * e9 Y+ h, N# B* e# r& j
set trust-ok False
' S% k+ F- ^. W# J8 X# [
' r6 |9 b, o' w9 c Q
/ S% J+ _" t$ \0 d9 W% hlet max-trade-times 0
- a7 n y& S. L7 e& bforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]% v! q; X" X! S
let max-trade-money 09 y! R& E& i3 C# ^
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]* [2 N( `; ~% o# i
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))4 a8 k% }/ U$ |4 y; P3 f
/ O4 y5 }& c* k* f6 R
; r( @" S, T4 ?4 [get-global-proportion
- ]1 u2 L0 Y4 i* c6 O1 l9 |let trust-value0 _+ ^/ o2 Q* `4 C
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)
9 O) h/ N6 S& B. T8 N% Rif(trust-value > trade-trust-value)
6 s/ x" N) ` r) g% a: \[set trust-ok true]
6 W- p3 Q7 w5 ]. eend
" x* g7 y1 [ D$ O6 Z4 H5 [9 a) m/ }0 ~7 m. v+ j
to get-global-proportion
% `8 M( d6 b" L$ Oifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
9 W8 K0 |6 X/ A' |* _5 `( c9 z[set global-proportion 0]5 G3 m0 \; }/ r0 M4 p [' w% Q' s3 B
[let i 07 l7 y( X) }; T! Y' F2 @- V
let sum-money 08 ~* \3 U% f% R3 z; I) P$ [8 U
while[ i < people]% G+ k2 L6 h& F1 Q- O6 y
[' k1 E ^0 N4 U: p8 V
if( length (item i
" o% E+ r. O6 B& G* Y' G[trade-record-all] of customer) > 3 )
4 K, B! b* `* }[
9 F* ?( g0 c: ]" T/ D; Y( N' Qset sum-money (sum-money + item 2(item i [trade-record-all] of myself))+ P6 Q8 s [* ~
]; F \8 T7 \' ]1 z9 ]. O7 W9 N7 |
]
2 y( Q9 x2 V+ P1 E8 K- h2 x8 I) D" i! Plet j 0
) d# z3 O7 I/ Q5 W3 _ z+ s9 Tlet note 0/ q4 C: n2 d7 E+ c8 c
while[ j < people]
) C+ U( g. e* h/ B" s[
# z* g/ T5 @2 R, @/ S; u9 jif( length (item i
& h% R" R9 U8 I4 |- } O2 W6 A[trade-record-all] of customer) > 3 )
) z- c- p4 }9 }2 M4 s' P[) d& d! J9 O( k i
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
: B. B, _' n! ]& j, E, c[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; G* c: j, S0 k9 L[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]# a( H: q( m! J8 s: z
]
$ _( ` S; k+ d( `4 U2 d- F]
* x1 ~, }! a. ^* }9 X) qset global-proportion note
J" m2 K% b; @( r; z6 ~9 Q]$ d) Z4 S7 N% z2 w8 i
end
! g* v+ d& l: o: \
# r7 _4 _5 G- k* v% j: n# zto do-trade
6 Z- X$ ]$ M: E" h ], W9 u$ E;;这个过程实际上是给双方作出评价的过程; x3 ~9 U# ~2 N1 M- @1 N6 o- r
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价) c4 `. Y7 q0 S( P& @; ]! l Z. \( W
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价! h5 H- E7 u: E, }
set trade-record-current lput(timer) trade-record-current# V3 N5 E* z4 C
;;评价时间
0 M8 q; @8 Y0 Y1 k0 L+ P8 [ask myself [
) W3 }, w, W" [/ Zupdate-local-reputation
6 X! w4 x. l! g& m( qset trade-record-current lput([local-reputation] of myself) trade-record-current; w) D- Z( r8 n6 h
]/ a4 T) G: V8 N9 e/ K; }6 R
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
: D! v8 M! u8 }7 B;;将此次交易的记录加入到trade-record-one中
+ s0 A2 N% J$ a0 W9 pset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
- _9 n8 v* f' }9 k0 `5 M: T2 glet note (item 2 trade-record-current )
) n$ t4 x7 s& P! e& j% p; zset trade-record-current. X2 B- C J: L. o
(replace-item 2 trade-record-current (item 3 trade-record-current))- u, K( @( \1 o
set trade-record-current9 O7 Z9 @4 y1 K L6 H% i
(replace-item 3 trade-record-current note)
" F0 _$ p3 X2 l1 s C! M7 g( w( G7 ?$ N
6 w g5 D. F0 F6 s+ V$ Qask customer [4 M% N# B$ y* y1 E9 | A7 A& ^; y
update-local-reputation
* D9 \$ M6 {% X. L. Zset trade-record-current0 h1 j# H5 M6 H7 r1 v
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) 8 c8 w7 a' I$ ~7 |/ ?. J
]
' e I" x4 ], P$ k
) q8 O# K8 F$ t8 ?2 O- l5 S+ M* w+ w
- q" F. R K; r# a2 [6 G- yset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
- g# q0 V: {9 C" w" R
% B6 h9 I& A( v+ jset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))! y& p* k. r: U b. n
;;将此次交易的记录加入到customer的trade-record-all中& A9 C# l, X9 y6 _
end
$ d2 p% t) \$ I2 C1 p0 Q& L( A
5 } G6 u# ]) jto update-local-reputation
# i/ ~& I ]/ p+ @set [trade-record-one-len] of myself length [trade-record-one] of myself
6 k) g7 X* v6 ^4 A ^( o& b# v* @ }2 Z
$ g. t% s5 y1 f& h/ q- U
;;if [trade-record-one-len] of myself > 3 ) ^9 Q# M6 t' o6 L( J4 O. z& y9 c
update-neighbor-total9 k# l; ~: s! r1 Y9 s6 v
;;更新邻居节点的数目,在此进行4 a- r: i2 j) c V9 y. N* O
let i 3
$ \& C6 |/ u- I" ilet sum-time 0
6 V M! E" f3 [6 v- ywhile[i < [trade-record-one-len] of myself]
% M9 G" |. w" a5 R6 o[
$ ?; n( y+ c* `) R# z* K0 ^4 Nset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
+ I2 c A7 I; b+ _set i
) Y5 h: y+ ^& F* b3 g( i + 1)
; B/ \3 R7 B3 u2 o]6 F* @ H, W* ^4 M9 H% M# d5 j7 S) x
let j 3
& `6 F3 U& o) m% A, [let sum-money 0+ n! x4 O! A' @( n
while[j < [trade-record-one-len] of myself]
+ T1 g1 ~& w+ T* q+ ^[1 U: a6 c5 w a5 i) _0 A
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)
$ v0 _0 k# K, u" k( Q: |set j; i: s/ s. j9 q( t6 j$ m/ H2 ?
( j + 1)
/ Y" P; y7 c$ t0 T- R- f]
$ z5 z* s }( b/ i$ t! A1 Rlet k 3
5 @. H) ^) f+ }8 l: _; Plet power 0
" F! Q" K4 y% ?0 jlet local 0
6 j( P' ]9 \' J7 t+ g" Uwhile [k <[trade-record-one-len] of myself]
' F. q8 W* g3 |: R6 T5 E[! n, A) T) H5 w5 S
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)
# q3 ~2 k/ _# f2 eset k (k + 1)+ {# i3 z4 c+ _& h4 ?7 L
]. r2 q3 C* G2 o) Q
set [local-reputation] of myself (local). E0 Z3 Z" A# c/ b
end
& D. V j" n4 V; H4 z/ D$ A6 o' A- i$ Y+ p& {
to update-neighbor-total
" \5 P0 n- A. i8 M1 Y$ s
% `+ @8 `, g3 r4 ?/ h) _if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
) U0 P# S5 e. `! ~
+ A1 k5 Q2 d5 y2 G( b0 E
) x# ?" b8 S7 N. d! W$ @end2 W% Z B( ? o- m8 _
7 a. F- K" |- M. T. G
to update-credibility-ijl
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. R, o6 T3 D' y2 \& e$ _;;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。- o+ |5 ~' D" b h# M& U
let l 0
& N6 _2 [- M8 b( w/ |* Pwhile[ l < people ]& v+ Q$ {5 n S3 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1 Q. i9 z1 j& ? D$ Y* l7 ?# T
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let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
1 o& Q, W, u8 c) R$ w8 Tif (trade-record-one-j-l-len > 3)
/ @4 @% o8 p2 g+ }( ]% M) `3 a# w0 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
0 z |$ O# u7 `8 k& Q+ n: mlet i 38 l8 K: K, t% Q! g7 n
let sum-time 0* ^+ k7 s- J$ Q9 w( h! L
while[i < trade-record-one-len]
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set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
( m0 r5 F& F4 [: p& E1 m! Oset i) e& W9 i; ~* k6 }3 V8 Y
( i + 1)
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) q% N1 {3 A+ c5 `let credibility-i-j-l 0
' C( b# C7 r2 n1 q1 Z# m% ]! I;;i评价(j对jl的评价)
" }% ] K0 |' G0 \let j 3! v4 s$ A' Z" J x; c
let k 4
3 d7 m$ w8 a" y& W5 H8 f1 nwhile[j < trade-record-one-len], k, j* [$ m% w% P
[
: ^' @/ G0 Q; 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
& c8 x( X8 V4 T) ]" w; ~2 Bset 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) ]; d0 C, J0 ?/ i7 i/ M
set j6 I; h5 B; B; F. _, h& ~2 j1 D W
( j + 1)% }# e9 E( x, b! M0 t
]
6 N' v1 {3 B9 c% a0 ?3 ]7 \8 S" `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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7 E9 q. l, O" q9 {. E1 T9 ?let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2)). _! d6 m; J4 ?
;;及时更新i对l的评价质量的评价3 l# T# R9 D- \8 z
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
! ?. _* K5 D! N/ S+ |; Yset l (l + 1)
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4 S( C/ m: Y; T/ @0 j6 |: t6 Pend) g4 n" n3 c2 k, W& N+ V* v( J
( w3 W4 Z- K$ s5 J, [) Uto update-credibility-list
" y6 c" ? v0 T$ w: mlet i 06 f. X# [. _, j' ^# x' S; u6 I
while[i < people]+ V0 L7 h9 w& U
[
" E0 T; r1 r; ^% ?let j 0
6 V3 o7 {+ n! b: Y$ O: Mlet note 0
$ `. l1 H' V! F- ^7 u+ N; {let k 0: A; X4 g7 {4 ?5 T
;;计作出过评价的邻居节点的数目
! f1 b3 Q! T: Z; |6 l* c) Pwhile[j < people]
$ a+ S; {! _7 {[
5 U8 {& ~6 V5 U0 ~' a m" k) [if (item j( [credibility] of turtle (i + 1)) != -1)
+ Y! ?0 g! ~, s& A5 M$ E;;判断是否给本turtle的评价质量做出过评价的节点
7 ~9 y0 h) n1 V" F& g[set note (note + item j ([credibility]of turtle (i + 1)))! U8 K7 l+ ^0 V5 w8 \8 B. k
;;*(exp (-(people - 2)))/(people - 2))]; U. N+ d! A; d
set k (k + 1)
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& g9 r. L* t; Z! T) }( K5 v" {5 {set j (j + 1)
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# G2 |& I% a( ?/ C5 u( Uset note (note *(exp (- (1 / k)))/ k)7 ~$ a/ K; l, Y( S
set credibility-list (replace-item i credibility-list note)+ S4 Q: L1 i; c, {9 Y9 u
set i (i + 1); [: |* O4 e- y
]
( E4 [. G% U% `7 Cend
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^5 o5 K, C+ ^% m/ Q2 _& jto update-global-reputation-list7 c% O$ p0 V6 y% x& F& ]
let j 0* e' U* B5 v+ E3 K! ]+ ?
while[j < people]
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let new 0
* n0 ], I( A+ p5 @9 ?;;暂存新的一个全局声誉. Y8 S' S$ |8 \/ @7 K
let i 0
4 w/ ~/ s, n4 W# llet sum-money 05 J+ Z8 F0 Z: z. B, H
let credibility-money 0$ G2 M: L8 }1 Z, f! m4 m& Z
while [i < people]% }. _3 U+ B" C- f8 l
[
4 P3 F0 v. g9 oset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1))); E0 s2 l/ E4 u# `
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
$ P2 n( J8 q2 j0 r0 Xset i (i + 1)/ b) \9 V) L. t6 h6 J1 N9 R4 D
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let k 0% @. B) }2 j4 I6 j6 _! E- {. B: S# z
let new1 0
' ^) w. J; n3 \" Gwhile [k < people]& z* n( B' s) K H6 g
[
( K) y% p f# bset 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)
, }; L: {7 Q2 ~- V3 I1 xset k (k + 1)
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set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
) N& F0 J' s2 Jset global-reputation-list (replace-item j global-reputation-list new)
! \* \4 H2 s1 _set j (j + 1)* [" W3 ]* Z# W; p* a
]
9 t. U. d: M) q9 q* `8 ?end
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to get-color! ^ f( k) k6 E1 x! @
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set color blue. N |% S% `; r$ L0 n a
end
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to poll-class" q5 g t) `9 i4 ~6 h7 h
end3 Y b* W3 U. G1 S$ i
7 Y% p0 r7 e9 lto setup-plot1
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! ]% D' O; _' _set-current-plot "Trends-of-Local-reputation": j3 L+ l. }) O9 R' A: J& O
; K: w8 X i; z) T+ Hset-plot-x-range 0 xmax
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set-plot-y-range 0.0 ymax# M K) S9 y5 r, i; h5 R5 ?% ^
end
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to setup-plot2
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) E# m/ h+ i O3 |8 e+ bset-current-plot "Trends-of-global-reputation"" C3 `+ r2 `& Q* x8 E) y
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set-plot-x-range 0 xmax
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set-plot-y-range 0.0 ymax; S9 `, k- V2 B: J4 ^# K; K9 V, a
end9 e, M4 Y) c$ Q- E1 q
6 p0 l1 R3 W3 ~+ d8 F# N
to setup-plot3
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set-current-plot "Trends-of-credibility"& s2 ^; W+ {9 W( p
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set-plot-x-range 0 xmax
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B( r8 K! r/ c$ x6 j- V7 pset-plot-y-range 0.0 ymax' ^9 d8 O- i# d+ g
end, {, K* l1 E$ t. J7 S- y
4 A8 N/ M* j. x5 F8 z6 |) d
to do-plots
- H t6 y: z" t8 S- dset-current-plot "Trends-of-Local-reputation") W! s7 p. M9 f7 i# Y: F- C
set-current-plot-pen "Honest service", A" t2 f. y0 ?: K
end
+ [% ]3 `8 r$ D: O, }: H/ M
0 O1 P4 Y- k& {[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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