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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
4 v& i: V. t5 g! }- jglobals[
. c) u& q, {: i" J; _* gxmax' p' ~4 p( c4 W' U% c
ymax- R% q; _4 u" V4 ]7 [. H6 [8 g
global-reputation-list
2 q3 C8 C& b: E3 y3 n. R
6 V/ e' [2 N3 H+ |;;每一个turtle的全局声誉都存在此LIST中
3 d7 A8 c. d2 E) J2 F8 ~credibility-list
% h& q. |; G6 g7 Z2 g3 [' N;;每一个turtle的评价可信度
! J1 f% G, P9 P. S; vhonest-service ^' w; o3 u. K" J% }9 N
unhonest-service
* H& B* Y# N$ k: J8 G5 k9 c' H! Roscillation6 y& ^4 s6 ~( J4 g7 D g( `& o( Y
rand-dynamic4 p3 P- D, v( d4 Z
]+ {& G5 S! |- [
, _! C, s; f, f4 {7 t) \) m
turtles-own[; b8 r4 U: H: R) P" T/ C
trade-record-all
3 j' h' |+ P. f* };;a list of lists,由trade-record-one组成
$ z+ v9 }. M9 D7 G& b5 Ntrade-record-one
* j+ \( d. M2 K* B* x2 }) _ o;;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 X0 J; D) N6 a; U2 p T
: Q7 g3 w& M0 t7 H;;[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]]- s0 y7 v* I6 C
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]
8 M0 i/ o2 } W) {" zcredibility-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
5 L7 W* [# {6 w& b: F8 Q. g! ?neighbor-total& L7 @$ Z; ]$ z! Q9 S; @& A q
;;记录该turtle的邻居节点的数目. y; u, L( r9 [& S7 P0 n
trade-time3 }) b3 i2 \: _8 Z4 y d' ^2 S# |
;;当前发生交易的turtle的交易时间5 p# f% A# F1 j
appraise-give6 H+ z+ F9 G" b) z8 o" G
;;当前发生交易时给出的评价
! l: y3 p- Q& T- c# _+ r5 ?- @4 V3 kappraise-receive6 s/ A: v9 z1 E* c# v% Y. S
;;当前发生交易时收到的评价
+ a Z3 A: u/ p1 wappraise-time4 {( F9 o$ i6 j( S6 v
;;当前发生交易时的评价时间% h& b# T; V9 `9 ]# H4 i
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
2 u" \. f4 j; N) P- b, ctrade-times-total0 a, P H1 N# d J4 c5 y. t
;;与当前turtle的交易总次数
6 l- c/ i9 B X2 k9 @: k/ m p- |: |trade-money-total8 q! w& Q# n+ J2 |
;;与当前turtle的交易总金额
7 b3 j7 c ~' M) b/ [( J4 ? t0 [local-reputation
" }# W, I. ]/ E+ Q4 v& S& gglobal-reputation7 _" C( n1 O% W9 y: |& |1 f
credibility0 `, Z% S+ t: m- X% |/ M
;;评价可信度,每次交易后都需要更新; ]2 `( w+ r- h5 _4 _
credibility-all1 x) g+ a; z3 X; u2 A
;;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
, o6 Z3 Y0 `* ]2 C; `" h# u8 O5 j5 l: x9 H# 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
# E S8 J. c- Q* z( n- p0 D' J8 lcredibility-one
5 k( E1 [1 F+ m5 c2 a9 ^1 k5 q$ L;;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
4 d. n3 Z* S k, p# xglobal-proportion
& \! B* H( |+ T- J: Ucustomer! M( r9 C* v' n: I; B$ C% Z2 }: X- ]$ ?' i
customer-no+ v" I* V# T/ s( P
trust-ok
9 K( i9 ]" D6 }9 Ltrade-record-one-len;;trade-record-one的长度
+ i7 S; G' r/ E, l4 @9 y]. @/ H* C8 V+ S' y ^ o- \8 J2 O
# C2 O0 [2 T5 P% u;;setup procedure }0 H; j4 r6 V
* ^" u% T) Z7 ?) k% a: |to setup
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: g1 c8 b( o$ i* _4 z' h4 Sca! C9 e5 R% y9 p" {7 L6 Q0 {% \
- S& l, d+ v, H. s/ Z6 R6 R* ginitialize-settings
* O5 l9 k5 V u6 p# s2 ?4 d( _' n$ k" v6 y5 R
crt people [setup-turtles]7 y: Q9 o: @9 g3 c, L) t. a! p
' Z) T7 W% F9 Z# C$ q9 f/ ]( {
reset-timer
, Q9 G1 O) U4 b3 c! W( Y( r. F0 t5 {( D
poll-class
9 e7 G# m; W! C l( X9 |+ S+ P
+ O8 @% W' N/ l6 c) _4 S! R8 H0 r" b+ j( ?setup-plots
; A* _% d, b6 d% r1 n' U' U* a9 J
do-plots: s. s' O/ ?/ E" D( H
end
0 F; P! |8 Y# [+ A" D% ]8 H- U5 K
D" K7 c+ Y, L3 q: w4 n1 v5 Pto initialize-settings
3 }$ _7 T6 Z+ \
, `: f+ K2 F5 A) F& _" Z& \set global-reputation-list []
1 z+ M; t0 M- J& B) C
* R+ b0 L$ i4 M7 I; x7 tset credibility-list n-values people [0.5]% O5 E5 T/ @5 ^% ^7 O: [7 g
/ R) [/ E/ ~7 q& z6 \9 cset honest-service 0
! V' v4 i5 K' u* H/ |! H3 }- _
. `$ }7 o; E( ]. Z; R% Bset unhonest-service 0. y) N# V5 c; H' G) h7 q6 T
* Z; g# q1 B8 @4 Z3 Q% j# _! A4 V' {
set oscillation 0
' g" X4 v' x5 X9 ~2 `
" M/ R/ G* e9 [set rand-dynamic 0 D8 E# ]: Q! C @+ j
end
6 ] f2 w2 J$ D1 ^+ X$ G0 r+ y" _: N K: P! w, S0 K: R1 j
to setup-turtles ' d* X' q. |( U4 X o+ i
set shape "person"
Z5 y: m5 T7 J2 a: Q2 y/ Ysetxy random-xcor random-ycor
0 l* E* B1 n" t7 B; C4 Rset trade-record-one []3 Q; Y8 Q- [1 r: x$ S+ E* U
1 k- m3 h" g6 sset trade-record-all n-values people [(list (? + 1) 0 0)]
: A/ U7 m; l% d7 N4 Q$ Y3 W/ A
6 T! b7 Z9 Q. c8 g Tset trade-record-current []2 v v( A; c; P1 D( g, @% ~+ x4 T1 @
set credibility-receive []! {+ B$ A7 [' Z! |7 _+ S \' F
set local-reputation 0.5
! e7 p" X, ?% W; c# L0 b8 `% Bset neighbor-total 07 c. z" u3 w$ L1 |5 S, `6 x
set trade-times-total 0
5 @0 R3 e6 S0 F7 C+ uset trade-money-total 0
) K+ r- ?. H1 }& i7 P* i, eset customer nobody
- O3 r' l& A. g- \: Aset credibility-all n-values people [creat-credibility]
& r5 T. {& t* T8 }6 M& n" ]set credibility n-values people [-1]
4 \' ^/ _% J8 J8 D8 e' K" cget-color$ Y' u9 s/ t* U- h
) q2 R o% K! h; b1 p/ w5 U4 xend+ n; M9 @( S$ d: a D
8 l- ^0 G+ {0 P) y1 T2 v& yto-report creat-credibility# K) T6 W! S5 ?8 T7 s
report n-values people [0.5]: ^) G! N8 _, K6 h$ Q
end3 O3 I. p- v( v
3 e4 T! y/ C, L/ ?5 L0 \to setup-plots
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set xmax 30
8 a: d8 F6 |0 [- J% u
$ c m6 ^) E/ @% X; Y6 bset ymax 1.0
& X( h, X G* V6 k, W7 E" e6 t+ F2 {% L& T7 \! ~+ @3 {
clear-all-plots' O _; r: _- i4 n+ W
8 d7 `0 `. ?% W1 s; K1 Ssetup-plot1+ e6 z W- L9 M+ M/ P9 [( \" P' B
. \; t1 X% {0 w# ?3 v+ msetup-plot2& o, K3 n- {* _" C' r1 y! [" R, l ^, d
& J! Y9 U6 f" M9 Y4 B
setup-plot3# R. f- S& p2 a! A8 `7 D
end
/ B2 W, E9 ~' S2 {! T' ]: I5 w! N1 b, V- s! v
;;run time procedures
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# X1 A- m3 Z9 ato go
) \- h8 m# b( `' p* C! L& o
$ f' u$ x/ n3 aask turtles [do-business]% M K; u T" M( ]9 \8 }
end9 D$ u' R3 t& L) p
4 i0 O( D; G9 `0 |to do-business , t3 h8 n1 k6 @. U j* o
4 O4 U8 @/ B) ?) l( k3 T! s+ R# [7 O1 R2 M6 d5 @
rt random 3602 T8 i- C8 r. g
* x' |+ R& }) C: o5 r. Tfd 1
) V; [9 r( M \; `
' [: _+ }2 L; h. mifelse(other turtles-here != nobody)[/ H R; z. b' e" K7 d
- Z( G- r7 \' q+ x* e1 h
set customer one-of other turtles-here w. d w3 |/ ^# O' Z
% S! F) g* t* ~8 ~# A; w% F* j;; set [customer] of customer myself
$ `( D: E6 ^. p
: f$ j0 a* |/ `2 U8 m1 i w" cset [trade-record-one] of self item (([who] of customer) - 1)% h+ z8 a- A+ x2 a
[trade-record-all]of self
% i' Y: H* W+ ?5 W' K6 A, Q9 j;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
) y' x' l7 \( E, l1 x! X) e7 ]
% x) g2 @/ G; L v {set [trade-record-one] of customer item (([who] of self) - 1)
, a5 {8 E, s3 S2 J. R( X[trade-record-all]of customer! K/ M( X; ^; Q5 U3 p$ F1 Z2 _
+ m9 u- j6 n' X- M. `set [trade-record-one-len] of self length [trade-record-one] of self6 F0 `5 E6 J3 e9 M0 d* A( Y
# ?. T. K6 x# m. oset trade-record-current( list (timer) (random money-upper-limit))" H$ U5 O% A) Y3 F
7 l: v# M! Q. i2 ]% J7 Mask self [do-trust]
9 v/ F8 P- l' Q0 U& o& F8 Z;;先求i对j的信任度! s- k$ H, o# k' i& z% B: X9 j
+ l1 ?8 a) n) d: [$ D+ p. J* ?
if ([trust-ok] of self)* q. a* x: H3 ]( M! l% k
;;根据i对j的信任度来决定是否与j进行交易[! d5 i# }+ Z$ M
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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; s5 p4 A8 D4 R$ `) c1 v$ U[7 Y1 |" e% S6 t/ h+ H$ ]( Y2 R
; t; \; [3 P8 m1 i8 H) m( Ado-trade
( h) Z; b* p/ L
3 G+ r3 j( g. @" l6 K g1 \% ~update-credibility-ijl
# T& g/ B7 H7 X8 z: V) |& u I
update-credibility-list
2 X a. z. C# a- G! \& |+ A0 Z* o0 k" F: v/ O! T
' u) g4 a1 o6 T- w
update-global-reputation-list2 Q' Y, {% \% ]: A
/ U5 m$ X9 v; [
poll-class1 v7 @9 I1 O! g! P) e x
! m. K8 `, x/ b9 z. y: k/ _5 y. I# F
get-color
9 q3 n7 X3 E9 s4 Y1 c6 m) X l, x7 _
]]
* V, y3 S8 U; ]1 i- y3 | T! C, E: P$ x+ W$ G3 _, d3 f
;;如果所得的信任度满足条件,则进行交易
) P: u# V( [% ?; _# B7 G" T3 L
' n' b+ E1 y1 |% J/ v[: o5 q) l& J7 L% e- p
" q/ D0 V1 F( c7 h. }5 d3 h" `0 ert random 360# q3 F( e7 c. W( \5 E. o5 Z8 [
% x& M: H. F: \# _fd 13 _! }: Y- x* k; w
5 w6 ^1 q3 y y Q" p]
) l# d/ y2 y) b# F" [% R% |+ Q& c7 w+ n$ n: ?( t
end
# o W; u. s$ P2 E* N
6 f5 E- J6 ~# |$ J6 P' Dto do-trust
3 s. ]8 s. s8 aset trust-ok False2 Q# l H) q e" Y. J& G
U! ^. c7 a1 Y B# K! w
* I$ B0 }' h3 A# n" b* w+ Y
let max-trade-times 0( E0 ]! Y, \$ K5 p
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]# s' {0 K0 I! ` q3 C
let max-trade-money 0& K. N+ }6 i# M% E9 m
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
$ q4 K7 a, N4 c5 e; {let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))5 @. W3 p A# n" u
, ^+ h2 \0 H; Q) s
) h* e- Z1 F* j% T+ F: p2 Z% [
get-global-proportion5 F" d% {- A) [# H. T U
let trust-value k7 ^' ]7 H% G w/ p% \5 T
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)
% ]4 z3 Q) B" f$ o* uif(trust-value > trade-trust-value)+ J* I. t" X1 E) x
[set trust-ok true]
5 ?% G5 A! y+ a: V8 oend" n! a/ g+ I$ ~
* _6 S! r- e' f9 z5 Yto get-global-proportion, d) A, m0 h5 }/ C1 R* B
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
$ x- C; l9 D! }[set global-proportion 0]
; {; c5 H) N* N4 T[let i 0
) L: o) ?1 ?5 F2 P# Dlet sum-money 08 f+ u9 E1 S8 Y5 N3 L( U
while[ i < people]1 Q u o3 \" N0 u# [
[9 k" z) m7 \8 U* x' [
if( length (item i
. w' r! X% ^3 b' a1 u) F[trade-record-all] of customer) > 3 )" X6 F) {% n8 R `" i
[( p5 D# Q, L+ h6 E" D
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
5 t. b$ w$ j3 x/ k; @$ N]/ c( ?, q! J$ ~5 V- ~* V
]
$ D+ r" u7 o: L6 B# M) k" glet j 0
! L9 ]1 q) Y1 I/ R- o Ilet note 04 u$ s; o6 _" U1 ~* O6 n( O
while[ j < people]/ ~# r- l# d, t
[
: _. k& t9 ~, c* D0 o4 d+ Dif( length (item i
" o, Z' d1 a0 _) ~[trade-record-all] of customer) > 3 )
5 ~' C* @- [( a7 a }9 g( ~" R' _[2 u: y( Y) u& k4 q& x+ {
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)( d0 Z$ v, X2 K* E
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
0 G' l2 U3 V( K2 V+ k[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]# G) W/ z8 {0 Z! t" j
]$ ?3 K0 d" d/ z* C3 n% b9 f
]
+ O0 N* |6 ^5 Z8 T7 L5 S3 Qset global-proportion note
9 k! t5 q! r( c]% D" M0 ?9 ^+ F Z _" }: {
end
3 a S4 ^# }0 G% _2 n; X$ M% G! y6 w" m* z
to do-trade+ O/ v' o1 `5 m
;;这个过程实际上是给双方作出评价的过程8 a% @, A4 R5 N2 n
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价1 _! N' g$ _4 A3 |: H& u: D
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
( L; e1 H9 O" [/ V9 M! v& h- Yset trade-record-current lput(timer) trade-record-current
, m; `0 |& P4 y% k2 ];;评价时间
, O1 V6 D% V8 jask myself [
u1 U+ K* a& @/ [1 q0 I! Supdate-local-reputation
; U2 i+ T( j' e4 n1 ~: R3 j- x& mset trade-record-current lput([local-reputation] of myself) trade-record-current
1 w) E7 P' [6 [) a3 M]; U: T4 w. `4 `9 L5 F
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
' h |" ?0 a2 w0 u& R" B* Z. c4 \; ^;;将此次交易的记录加入到trade-record-one中5 L( z% y3 ` D7 Q5 Q% A
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
6 M/ j' Z; O& A E6 \( Plet note (item 2 trade-record-current )
* Q& z4 I& i6 |% I! J1 j9 H9 Eset trade-record-current% I& P1 R! T* L& x
(replace-item 2 trade-record-current (item 3 trade-record-current)): A" L/ y+ I1 }1 _$ m. e
set trade-record-current
# L" g/ M1 h/ |. E# |& S( T* {( d% W(replace-item 3 trade-record-current note)
' {* z& T' H$ Q
2 ]( |( ]. u+ b% b7 |2 N) a7 |
0 g/ B' |) e& Mask customer [: _! y4 k; }& @7 ]' i
update-local-reputation o; s3 }+ a2 R# Z9 J8 P
set trade-record-current
+ ?4 M6 M$ T7 C K& L/ {1 d" y(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
0 @, S6 x& j/ v3 ~]3 S9 I; P1 b- b" G8 [
# g4 c d9 n+ [5 r2 e) t- U" W6 E# Q' q, O3 a& u5 \: U
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer3 a B- w7 u3 T0 n5 S% q
3 \0 ^! t: j5 Sset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer)), a9 B3 x; T8 ^& _
;;将此次交易的记录加入到customer的trade-record-all中( A4 r% F' ~9 [% p: Q1 h' I1 o
end
. b; p7 W# L) _ |
* y+ ~; y4 E& a" Rto update-local-reputation
2 Z) ]+ H& r( ^ ~, Wset [trade-record-one-len] of myself length [trade-record-one] of myself
3 ] [& g; {- e5 h
" C/ s5 Q+ K8 ~: g/ `( h
3 `% q, ~. u! S5 Q& T9 W) D;;if [trade-record-one-len] of myself > 3
4 n' `' m- D. B: t8 pupdate-neighbor-total' r B/ [ C. t" T* S
;;更新邻居节点的数目,在此进行
: Z; } V/ U4 \9 @$ A9 g0 M/ dlet i 3
$ ` ?/ ~% Q" p6 Y; Hlet sum-time 0( U$ k* h- ~- L7 u4 M$ r- ?2 ^; d6 Q
while[i < [trade-record-one-len] of myself]" J3 V2 S* S7 l
[
3 V" @# N' L/ H6 o3 ? \set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )( V ?% E, ]% C; ~) n
set i
. Y9 s+ ?* Y* }( X- @/ W I. S( i + 1)
: W: _: o, O- _4 q7 F]# g4 F, p' E4 I( ?+ ^( P7 E
let j 3
k$ n- f- P4 d+ v! u& Clet sum-money 0; ~! R5 h3 V; W0 ]% Z# i: v
while[j < [trade-record-one-len] of myself]/ L7 v; f0 z0 t0 \9 ^9 @
[
, W: p) ^. ^3 c: e' S$ Aset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time); \7 @4 J6 U* d6 C3 M9 W
set j
t0 C% ], V* u B( J& a% x5 c( j + 1)
% U, @% u ?. q1 }1 Q/ m# T]) G6 E5 D/ D9 e+ `3 ~
let k 36 T$ N# Z! T0 V# h2 O
let power 0
: u; w* g w) ~ dlet local 02 J' m" p: |8 M. W+ ], e
while [k <[trade-record-one-len] of myself]% c$ o, A+ H9 ?: _
[
5 c6 ^1 R' @1 y, \/ V g* W7 eset 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) 5 n. T' [% i, o8 Q
set k (k + 1): x4 l$ y9 a6 T9 X% t4 S
]
! S$ T6 p# C0 P* V2 A% \( cset [local-reputation] of myself (local). o% Y4 y- m/ ~) R' F( ^% E: p- _9 Q
end( e' p) m, T* k
% ~- C0 [. q0 E$ v0 u1 `
to update-neighbor-total
) x; p& A3 ?5 h( e ?: X6 y2 y; q8 t+ j. J0 N/ P
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
( `8 B. e, S: j$ I) d6 Y0 `0 }5 c3 q4 r, T$ p2 j5 ]. M" P
* l3 L8 b& E# E6 h
end2 i# S' {: k8 ^2 h2 M
6 |. y7 A. _7 l! u3 ?6 {
to update-credibility-ijl
" p, i, d( [0 x T. [) ]5 i, q1 n3 O3 M% U$ I `. y2 n5 G3 y% t/ d
;;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。
" \. w2 u$ Z" o1 F5 |1 G% O' Plet l 0/ v7 S) f/ L q, B: @+ z$ U
while[ l < people ]
3 o6 B; G& B. P" j;;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* s5 B- x; ]- V0 |+ y' L9 a: N
[5 B/ ^: ~; r, X7 Y; t3 n
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
" X# K$ g5 Q% l0 s9 A( Iif (trade-record-one-j-l-len > 3)
. X; Y1 M/ w: h" o, |2 M[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$ R6 C, G9 d. W! T; \
let i 3
1 C( e) h* I" ]6 Jlet sum-time 06 ~, I4 t. f. O1 j' m3 J3 I9 n
while[i < trade-record-one-len]$ X7 W k! }) M2 M+ V6 Y8 ~0 L4 ~
[
. ~' r, O2 S& m1 h5 _3 Mset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
* h8 W. K( I, v& fset i
: I9 E; g9 _2 m( i + 1)" D9 _( i1 V% w) o- ~
]
+ U* {% }- @5 h$ _9 ^. r' o6 \let credibility-i-j-l 0. Q$ g& M# _6 u# j! k
;;i评价(j对jl的评价)1 _& O0 M6 |! w7 n5 n- s. V* V
let j 3: F6 B& J# c2 r: l6 B5 b5 x
let k 4
# E) q7 |5 k" H! H# A, u& _while[j < trade-record-one-len]; r! N Z$ D2 O% Y
[( ]" ~8 k7 Q( @+ }3 d+ j
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
( W$ [- l( B& v4 R/ P0 Y" Xset 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)
! ~3 G2 ^4 a% y2 }4 g8 p# _set j
; G4 F! x2 R8 K2 n) K- ?, O( j + 1)% Q/ F( [% l* m
]9 M! s* R1 j- t' ^% l6 \0 q
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 ))
/ T4 A% W! G- v
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; f% W0 B8 t- L8 Y; M3 A+ wlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
1 d! S1 c n. d3 m3 i;;及时更新i对l的评价质量的评价
1 X1 N8 e/ s, a& M7 Aset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
* c2 I; E$ U4 n2 a, X; Eset l (l + 1)7 C) X' h8 j% C: t2 [$ S5 T
]8 \3 ^9 A$ F' n7 z! f( x
end
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, W: S2 k' @' D0 v( Fto update-credibility-list
+ f# J! i5 E9 m9 z3 vlet i 0
6 b+ J$ l6 Q# L& N2 g6 C3 w: ]while[i < people]3 j/ a5 X: }4 C) S! ~2 q
[
0 Z% x" k& d3 N; T: y8 b) |8 alet j 0
! F/ O' t3 C7 t E+ F! E. Y( alet note 0
7 T# O+ O; M6 I5 M0 y7 T7 Y% Ylet k 0
/ P# x e# T& p/ a- v) a& J;;计作出过评价的邻居节点的数目
- z& u1 S* r, g0 A( Gwhile[j < people]
# h0 x; ^9 s5 @$ `9 H6 Q[
# e/ M O8 G. O; u& o& yif (item j( [credibility] of turtle (i + 1)) != -1); q3 I4 X4 V% W" o
;;判断是否给本turtle的评价质量做出过评价的节点% ~0 B, J) L9 u9 ^7 x
[set note (note + item j ([credibility]of turtle (i + 1)))
: j- ?, j5 Z( G) M" w;;*(exp (-(people - 2)))/(people - 2))]$ @: g+ S8 A; F0 |7 }
set k (k + 1)
- Q# Q2 k1 H7 E/ n* K# _) ]# p/ |]
/ y6 J! p) P& @, y. l5 y {5 i# R- }set j (j + 1)
o$ e# L$ \* F% b- K]
3 P2 W5 J/ ?$ f# p' ?3 Y( {( o, Dset note (note *(exp (- (1 / k)))/ k)
. ` B" r6 P3 L; h' _, d# z aset credibility-list (replace-item i credibility-list note)9 H* e- _; f% Q9 y6 U( B. N' l* W
set i (i + 1)# V; b9 s# ~, t% `6 Y+ t9 l# _. V% J
]
) C$ W! ~7 q% ^3 k, l; W, @' Aend
0 I' r8 e* e$ y6 ?8 |6 ]
, z& Z ]; O% _$ y1 M, ]to update-global-reputation-list
. S2 g/ H7 C3 O/ M3 w/ M: v8 rlet j 0
( `7 F; M8 Z( O: mwhile[j < people]
, @( \$ l* Z2 F8 R) T9 ?5 X[' V+ a" l n1 M) r6 ]8 b4 q+ i
let new 0
* `1 _. ^4 u5 c) T P; `;;暂存新的一个全局声誉
! d2 h, G( W& N0 W |let i 00 m6 ]. X" Z0 o* X. \1 Y
let sum-money 0
: U- @1 u0 G. G$ ~5 \let credibility-money 00 D1 z: m" M$ C$ |" |, V2 K4 {8 D$ P0 i
while [i < people]- H y0 z$ S+ w" Z; L- P( ?
[
6 n/ \; A( H" {/ m& bset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
" D6 n: ], k L: L. @) c" mset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
8 Q* \5 D, r# e1 V h. \set i (i + 1)
, z; v! i1 A' k# T: ` }5 N f! U. N. s]' c9 I% p, |0 E
let k 0
9 [- d# M1 S5 H4 \0 C8 I' @- U& n; Llet new1 0
& p4 a' @% ~3 `0 l. g3 X5 swhile [k < people]% c8 o y* w4 r
[
8 ]& `3 `# T8 l* 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), [; j* t8 ?; |3 q6 I" Z" Y- m
set k (k + 1), J2 h. E! r# |* I
]
0 Z0 C2 R$ H4 rset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 7 K4 }- P) P8 U) b& n: j
set global-reputation-list (replace-item j global-reputation-list new)
. L% N4 K/ c/ j+ w- fset j (j + 1), m) @9 Z7 D8 P9 |0 Z
]
! ]8 Y9 n/ B& Z% Bend
) M9 u& \4 \0 v' k) t I) l3 U6 ^- p9 q. a. V! h& e: c% z1 _
, _5 X0 _7 s* b& D8 f* O
8 S* g8 W3 i! b
to get-color, i: r8 c/ I# e6 x$ t8 j
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set color blue1 Z* N) I$ N9 o& n( }- M, i. H! `
end
; j: [& r% k- j
# g( u8 }" y2 t6 y6 v* q6 r# Y1 pto poll-class8 p. k9 ~3 n9 u) I( h Y9 |8 n
end& F3 }6 P$ L5 D& g) |
" K, I7 F9 X2 }2 Z/ ^( W& l; p
to setup-plot1+ ]( w% o; A$ z V
+ }, e7 G6 p0 Y* P/ p' ?/ j; hset-current-plot "Trends-of-Local-reputation"4 |; v; X$ J! o
4 q9 r- |+ H; T8 Y
set-plot-x-range 0 xmax
8 l! I; b4 Y) S1 | U5 b- ]
$ G, }0 \4 m! G/ Vset-plot-y-range 0.0 ymax
3 D2 N+ }& r6 A! h( Aend
* z9 i. p/ s& l. d( w. L
- l+ Q: B; h) X/ X5 a6 I+ r4 k8 m! mto setup-plot2" D3 l' M T) H# j+ R2 E% }
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set-current-plot "Trends-of-global-reputation"& ^7 @) e6 U, ~( l/ W# _8 J# B
6 |+ h+ c' V* t Z0 cset-plot-x-range 0 xmax5 B+ Q; _ M! F: w# q* ]
- f6 U; ]& z' R% U
set-plot-y-range 0.0 ymax" v9 x# J) Y/ I" Q
end
2 k6 _& z# `7 b; h% O3 Z. U5 p0 W a; h7 [. v8 V) r
to setup-plot3
& T8 X" G5 i ?. e" {, }% d5 `8 h* c
set-current-plot "Trends-of-credibility"; N; L7 l1 n1 Z( @% @
N8 s9 k% Q3 `) pset-plot-x-range 0 xmax: y6 y2 {+ s: m5 U
3 v! N) E- n) V x# [$ W
set-plot-y-range 0.0 ymax2 _) G, x$ H4 U- G+ K2 [, [/ e2 X+ d
end
2 \: W' A1 ]: u. g: ~. v
* F$ i& L0 k9 Sto do-plots
2 w: ~( f6 d6 C; x J2 S) k7 Mset-current-plot "Trends-of-Local-reputation"( M( v% m; o2 L
set-current-plot-pen "Honest service"4 R- p5 y4 I( x; Q9 n* ?
end
+ U% A+ l+ ^ S% }. g- M; @0 X- m; _* w; p* u9 @; m5 z+ H
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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