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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9 B; d r6 x2 u, Z$ o' _- Z
globals[3 }' Z$ h: X b5 D
xmax, q7 h8 P, c8 \
ymax$ R$ V. v$ h2 o9 }' B; q: J
global-reputation-list
; F$ D( A( O! I6 x5 e: r0 z- s# n* Z; s P: H9 u9 a, K9 ~
;;每一个turtle的全局声誉都存在此LIST中1 a- B5 @7 J& G* R" ]
credibility-list) C; _2 l9 }# h2 l
;;每一个turtle的评价可信度
5 B' ?) R9 |2 n* mhonest-service# Q F7 P d3 P
unhonest-service
, ^! J3 t3 U2 K- \( m& e' koscillation f v& v# m n6 F
rand-dynamic
8 i+ U+ s! d7 C/ h" |) M9 m. m7 W]7 \& n( J1 e5 K$ L
7 `5 o2 b6 q2 Tturtles-own[
) R/ r! _! \ ntrade-record-all9 L! z5 S" H/ M1 h4 Y U
;;a list of lists,由trade-record-one组成" y% y5 U0 t) g% q6 K, ~4 ^. q- l
trade-record-one! ~' m* i$ k7 c4 L
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
( c! o& }& {) e: `# z$ m5 z5 O2 z1 g" ^: f7 Z$ i) T6 n- p [% p; v
;;[对方turtle的编号,交易总次数,交易总金额,[本次交易的时间,交易金额,得到的评价,给出的评价,评价时间,此次交易后相对于对方turtle的局部声誉]]
7 n8 I$ J: s( x; rtrade-record-current;;list,trade-record-one中的这个list,作为暂存用,[本次交易的时间,交易金额,得到的评价,给出的评价,评价时间,此次交易后相对于对方turtle的局部声誉]+ U; g- @ S9 K2 M1 B
credibility-receive ;;list,他每个turtle还需要有一个存储其他turtle对其评价质量进行评价的list7 q1 K/ n5 \+ P, h2 g$ |; W
neighbor-total
/ {! B2 {* Q) E; T;;记录该turtle的邻居节点的数目; Y+ r9 s3 q8 D: }1 _
trade-time! F5 ^+ F# O4 j
;;当前发生交易的turtle的交易时间
' v& b+ v% K3 X/ Uappraise-give
# ]! J/ n. _/ ^0 H, O1 Z+ E5 e;;当前发生交易时给出的评价- g6 z1 y9 N6 z0 H" e/ g" R n
appraise-receive M) }+ ^& \) p& h, {' Y) b# W; M
;;当前发生交易时收到的评价
( p; R0 [! o: s- dappraise-time8 m$ J) \" \' m& g
;;当前发生交易时的评价时间
9 [: ^) n* G. Z( [# C- n$ Y) V0 ]local-reputation-now;;此次交易后相对于对方turtle的局部声誉
* f' I4 P& @( a. Z2 |7 h* Utrade-times-total
0 F( W& j5 O% d4 l, D;;与当前turtle的交易总次数2 x# d2 o' a8 r7 j+ G
trade-money-total5 e- B& n8 w) H9 g! G% _
;;与当前turtle的交易总金额% S# ?. E0 z+ {
local-reputation
6 W" `5 y6 w- J: j" tglobal-reputation
- X0 g+ U2 x6 ]) E7 Zcredibility7 y1 K5 V* {6 Z! D& Y
;;评价可信度,每次交易后都需要更新
% i1 A( N( c$ u% scredibility-all
1 Z3 @1 E. C2 Z;;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( g" L* B. }! d( p [( E0 x E
4 y8 f9 n) ^& Q;;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0.52 v# F* J2 l. Q* V1 t
credibility-one. @; ^# Z( e) X, ~5 ]
;;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$ K1 l$ I H7 j9 L6 [
global-proportion
/ T4 h! B1 t5 H+ Pcustomer$ f5 e9 ^- s W! {
customer-no
3 M: b4 T9 D% Y4 Ttrust-ok+ N# b5 w% c' `+ x
trade-record-one-len;;trade-record-one的长度7 O5 F) i$ Q" @
]- v/ M1 F! R. M. `
$ E6 H. B2 W, N0 z) c4 z) D4 \
;;setup procedure0 ] a: A8 t! [4 g
" v) A6 b$ U b$ f1 r' M
to setup' B) U9 ~5 R; K, B
7 w7 N. I8 X' t( Zca
4 }" y" D4 \7 G" ~, c4 V/ k! o9 {6 a" V1 d5 I
initialize-settings
, H) U3 Z& r9 L% S1 O$ X. A! }( O' v6 e3 G2 W* `
crt people [setup-turtles]$ t( q: r0 L% {3 ?; q6 D
+ ?) d0 J* ?( V! ^) R' Vreset-timer
4 p8 q8 z# x$ z9 b+ s' k/ k/ s* d
poll-class
0 r- C9 f2 k5 g
; o X) S- Y( R8 w7 ?2 S- ]3 jsetup-plots9 J' B0 E3 L4 Y- l4 A
3 S+ o, ]4 Q4 z, bdo-plots% v0 v1 J/ I/ D, x5 c8 r" T2 e
end
) T2 g0 ?0 T+ K- X/ ~
, b! z0 H N( D& p3 u. ato initialize-settings
2 V: x3 B* Y3 q3 t z8 i
2 z; J0 i8 q" g9 _/ Hset global-reputation-list []" ?$ l1 a, X$ h q1 m$ i \( r
1 b+ t: k$ f9 B4 S8 M& i) Uset credibility-list n-values people [0.5]
3 w& L5 g, U1 n" t1 u; R
) ?. a% x: M. ~2 Pset honest-service 0
I! S6 e+ ]4 y. x" r# r
8 t8 d# b' p' Rset unhonest-service 0! E9 O- W4 s* Y6 I7 w4 d/ ^
4 }3 j) L7 g8 u( y3 T( t4 B9 Tset oscillation 0
6 c% Q7 Q: C+ j8 _$ X3 {0 N- G( j5 L
set rand-dynamic 0
3 a6 a* G( d1 xend; e- j1 @' B; |9 j; E. Z
; D: B! @/ c: O( r
to setup-turtles
6 A& n' J ]: R8 S) A1 ]set shape "person"
2 v7 \$ e, S+ Q: h" N. \setxy random-xcor random-ycor
) F4 K9 W" T2 F5 Uset trade-record-one []* O/ |( o7 V1 U4 t9 c9 Y8 F
, P7 u1 W8 y+ L" e
set trade-record-all n-values people [(list (? + 1) 0 0)] - c7 b/ _, O4 t0 {# [, w9 f. l! C5 R
. O" @5 s: q- {' Z! J/ m- `set trade-record-current []0 B+ l; ^& I% F
set credibility-receive []
; q6 o; ~8 u4 [& M4 tset local-reputation 0.5+ E1 z! x' @6 m: T
set neighbor-total 00 G! `+ i! g. O& M
set trade-times-total 0
. y6 D7 j0 x) O. O0 _1 B# _* Mset trade-money-total 0$ ^) b' K; x% h3 E
set customer nobody
3 V4 s' f% s/ ~1 [% mset credibility-all n-values people [creat-credibility]
2 D b+ [1 d3 u& u6 G3 `% |9 z" dset credibility n-values people [-1]8 A5 v0 u! l1 P. Y& @: E2 H. Q
get-color9 j# Q4 K, u( W6 g
" o3 U/ D7 S2 w9 y4 `4 m% |end
' p9 e; U0 p2 z# v% Z2 ]9 f; p1 d; U' c: N
to-report creat-credibility! ^/ D% F+ J. F1 A
report n-values people [0.5]) [9 O/ s g( ^# d
end. N; b( ^+ o: b k
* _$ M+ z- m3 ~8 e& Y7 cto setup-plots
! R6 a% G5 l5 |# D3 X) d* ?7 g! N# o/ r; B
set xmax 30; N: T; G: [: r# z" E; M3 A
+ K, L1 E0 l7 Hset ymax 1.0: |( p8 m0 A- F' M
2 s9 g" `4 T4 [+ ~+ ^( _2 A( Zclear-all-plots5 x' V7 n; E2 t7 l5 b' `
m5 K6 w4 v# i" y [) K5 l
setup-plot1
( W; c& C2 X# L2 q3 p- |- u! |$ C! I2 i, [1 V u, M
setup-plot2
5 k& j8 g1 B* _0 a+ S& A; c; y, y
setup-plot3
$ M. F0 Y9 @+ o: k8 h9 Q; Z" c4 mend
8 d% K& n7 b) m2 f) U! o) l8 d1 w
;;run time procedures8 f) m% ^ z: Q6 i! g
- n) L( ^& a5 b$ o n
to go
9 K" ^) M/ z: B; i+ J! T9 M
/ h$ m3 N3 ~6 W/ @) b$ v9 ~- aask turtles [do-business]
6 w7 }- }* P. M, }' pend# ]2 w) m6 L# U
2 s# {' y# x* r3 ]to do-business
$ I" o; @) }& U$ Y
, F% W9 a+ l/ R: W& A! z% P, ~+ v8 r4 ?" m" y; M! c, M5 _0 a* J
rt random 360
! K- W( K2 ]6 K# r# d3 {3 R& z" A4 M+ L/ l- e
fd 1' x( q- f: l' c; X; L3 A& k6 R
* Y( N) a% q3 x9 u9 S& O0 w0 X1 g
ifelse(other turtles-here != nobody)[8 k% [- p H6 I" B- g$ N' H
5 q7 Q5 K9 c& @! p, X3 \$ Zset customer one-of other turtles-here
5 v: d9 W2 |. ?+ O8 m$ E0 b, B! `! S; v9 u
;; set [customer] of customer myself E' H( S- h% Y( R+ b$ n
* [* c6 l) S( I$ v b
set [trade-record-one] of self item (([who] of customer) - 1) X1 I. F3 l8 d$ R2 q8 X6 z9 v
[trade-record-all]of self' k7 O+ `& T, i+ W* A
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self( F+ V; T& L+ E% v( p! y0 e* m9 R" I5 C
: z9 b: `$ Y2 |1 F% {1 r, M
set [trade-record-one] of customer item (([who] of self) - 1)! c5 ]* G9 W _% r; A+ `
[trade-record-all]of customer; }! B. L* H3 g2 g; R; V. e" ^
+ j2 I* e1 n% `! C
set [trade-record-one-len] of self length [trade-record-one] of self# [- o4 W0 D- f6 g: O" I U) k/ _
7 o- E4 m4 q5 ~8 ]! \set trade-record-current( list (timer) (random money-upper-limit))
2 q# D0 r2 {- g1 d1 J# ] ^5 n3 l! f, q0 l# N$ O C; h, [
ask self [do-trust], Y3 ], }6 Z8 L& _6 u7 n: R6 |
;;先求i对j的信任度" n, m. z3 y8 p1 v& y' J
4 A8 B5 D" P2 X0 F
if ([trust-ok] of self)
0 R2 h8 k: q- a5 o9 j- H;;根据i对j的信任度来决定是否与j进行交易[
* Z. {. D! b3 I! M- yask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
' ]: e' [2 l$ N& H! @8 C7 k6 j* p' Z4 g3 o/ B0 o1 _# A4 J' @
[( v& m& ^0 E3 N& [
8 N% o# H* Q O2 Y2 n3 E! wdo-trade1 g3 ?# _* |# i/ _8 q6 y
) h8 B- N" N+ Q8 M, _
update-credibility-ijl2 w8 N# Q l% F, b3 c$ m% @ Q9 x# [
6 ^4 }/ B6 m. n2 O5 x7 ~; b
update-credibility-list
9 ^4 Y. c- S v |: O0 O1 c9 P4 x, R& G9 J$ f$ h' S2 s
' A& f o6 m) F9 A+ i
update-global-reputation-list3 X/ @! w! w. V. f+ k
: k' M4 b8 ^+ z9 Z' t. r( apoll-class
2 a5 m& D' G+ T5 e' U. k1 n% G# b( m: G& w3 T4 B, p6 `
get-color5 I. f' T% v% u0 Y6 I: ?
$ v' U# l! |! ?" w4 g
]]0 \$ d) g; `0 Q$ H+ H5 N; K5 C
. R9 I+ {9 ]' {$ V- s
;;如果所得的信任度满足条件,则进行交易 S2 p) l, Y7 C; }- J& c, p2 n! P
) ~9 Q- l* |+ [% F( h e[
$ ]1 G5 d. c0 \1 [. |2 C, D+ v6 Z- J2 w* ~3 x5 _9 k/ h' y8 v
rt random 360
4 x. p$ O* x* o+ m( d8 e K4 [9 h% M1 c$ V6 H6 Y5 ~4 \+ c6 A
fd 1
, ^! x9 Q: G) |$ V" c& ?1 b3 H; M3 r8 w
]+ }4 m! d* ?4 ]" f, D5 _
1 M) O k* G; ^: Iend/ u, t7 L. `( o/ J3 j+ ^6 Q
- p0 W4 T5 i6 [7 \# F: Pto do-trust 7 O+ ~( P3 ?1 F7 M% O' \# L
set trust-ok False9 ^" o- ?/ _- U, L: E5 I* G
# V: g# I ?0 x s4 J8 z- R
, P$ R9 | B$ ~) ^+ i1 m1 alet max-trade-times 0: r2 |5 O4 x D& E
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
' Y2 m3 F- z; R0 C7 ?) f6 p+ b# Ylet max-trade-money 0
) @- o# L: E) n7 y# |foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]/ C. U* V K# z+ y/ r5 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)); Y+ t2 M! t( @1 M7 a
+ R/ M+ R0 M) ?- {- Z5 f) B0 ^ W% K) p9 \& G
get-global-proportion
% ]7 H4 d6 w3 d1 u+ k, Elet trust-value
& ]& ]4 \& n% `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). t! n* O) C l8 ]4 Z3 y# q
if(trust-value > trade-trust-value); @; J! C6 A) A3 [ R- G2 a3 X- p
[set trust-ok true]. y2 g: a8 g9 k( {
end
* _- _, k3 V6 ^7 }* J9 J0 w% ~
! h# R, s/ [: f* t+ V' ~1 ?3 Z- bto get-global-proportion7 F0 r9 P9 x% h. [; r
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)8 F8 j9 q5 S2 N4 g9 q: Z+ ~
[set global-proportion 0]$ H4 W0 }0 d# r5 W/ Y; j! m0 N
[let i 0
( a1 i/ ? l. W8 Z1 nlet sum-money 0% r7 ?$ O* }& q$ M1 ~+ ~5 G! q3 s
while[ i < people]
6 G1 b; p2 W# Z" {( ] D& r[
/ _! x) h2 Y4 z0 p% S4 aif( length (item i
9 e2 ~2 Z% M1 p9 T# U- R[trade-record-all] of customer) > 3 )' _: I/ z8 T& \9 P! N- \& ]3 h1 m
[
9 ~- F1 r5 X/ z% Y# r+ Yset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
9 V$ D- r* q$ w1 m, d# X3 Z2 r]
* q5 V" a2 E2 M5 y# k]
|1 R! h0 h+ Jlet j 0
( l9 U7 z: T1 X0 v+ t8 e+ ?$ D8 ?let note 0
& N: q+ t: [0 k" y) W: j; A; `while[ j < people]/ U# q Y# x& K6 H6 m+ e4 I4 Q
[, ~( m) @: A4 S( ?: @( s h
if( length (item i
0 _- b$ d- f& x9 i3 n% Q4 Z1 R[trade-record-all] of customer) > 3 )+ k& c1 M. W8 `/ G. z* S5 K- ^
[+ p2 l! i/ q2 D( l
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)" d$ G' {: B) B( C" B3 H
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
, H P! u1 J$ @$ V) ]+ R& S[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
7 y5 n8 ]" x/ \, p]
R8 U8 h5 i' E8 X. {! P]( o! \+ h* u8 T% w/ O# C6 p: c
set global-proportion note
* s3 ^0 V$ o- u* i]- S, X$ X9 s1 J
end2 w' k/ v4 \2 m& t- v9 R0 L
! j) Q" g a. u; }& j
to do-trade
8 m5 ?+ w9 A4 i% K;;这个过程实际上是给双方作出评价的过程6 l& a+ S4 ]4 N0 e* D) ?& |
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价# p/ b( \/ V% c& s4 H. m0 |
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价8 ]+ U8 b6 C+ |' |3 K
set trade-record-current lput(timer) trade-record-current; A8 t, |6 W7 \8 y# e3 n
;;评价时间
: r% Y$ L' o" A/ v uask myself [
3 z. o1 r7 }) H4 A M. f2 ^update-local-reputation4 B) u! M; u2 [; A1 f6 k( Y9 m
set trade-record-current lput([local-reputation] of myself) trade-record-current( e- J: I" x1 \1 ~" N- n* j9 X2 A, A
]+ p# H' I* V( T; q2 e3 `0 O
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
# F, ^* _3 N# N G;;将此次交易的记录加入到trade-record-one中
7 a1 T+ i- _3 [6 kset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
1 m3 d( k; v. d8 Qlet note (item 2 trade-record-current )
' y- f1 c k: aset trade-record-current
# v0 Y0 _! n. E7 @(replace-item 2 trade-record-current (item 3 trade-record-current))
; x* R" Z9 h, I2 Uset trade-record-current9 }* w$ M, i9 \: X* \9 |* m! f
(replace-item 3 trade-record-current note)% s" F Q* S- x3 ~; m0 G
: Z" K4 j, i- }
1 T F" e- l. f3 f2 g. fask customer [
7 t" ]( I# ~3 l+ Jupdate-local-reputation/ f: u1 u5 V' W/ a, E
set trade-record-current
% f$ H* C! E/ k5 ^# b% I3 d1 L( R(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) 8 j5 F# h: D& z5 m+ g5 ?, I8 k
]
: Y' C" `5 W# i7 y6 |
" i0 t) @+ g( z; @- n; Q9 b) s" q1 O+ e( e. I
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer4 Y% T& g2 a+ A1 b5 p
: d* M. ~' P8 }/ Lset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))2 \* p& r& z6 h2 b* t
;;将此次交易的记录加入到customer的trade-record-all中
& |6 ~5 t* |" p7 v1 c/ Pend# _9 a" I U/ _, f; i
) U5 t. O8 B) Hto update-local-reputation$ a. X+ J& Q; }# d
set [trade-record-one-len] of myself length [trade-record-one] of myself* ?( n+ |6 r; ?
6 U6 W2 i+ Y9 Q$ O' F. m, \( ?5 t& {# t3 {
A! R! X! H; S% P+ C* c9 m;;if [trade-record-one-len] of myself > 3 4 L+ E: W3 O# ^4 e
update-neighbor-total
+ O$ y% U# N. |: X;;更新邻居节点的数目,在此进行
: x2 o( e' c3 ~1 xlet i 3* X. K" e8 }, ` r: P$ r
let sum-time 0" f( q; d+ p$ H/ Q
while[i < [trade-record-one-len] of myself]- f3 h0 u7 `2 y. Y5 a! K0 B1 w
[
3 U q( z& S A% x+ `0 zset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
# o8 Y, t6 S( sset i
: Q& }1 n3 a) c" u( i + 1)
$ h. b+ H1 \) m3 M! ~]. ^* D! x& L% I3 T% ^% {( @. S& ?
let j 3
& m. l% i) d- D, k }6 G) Vlet sum-money 0
! \+ h! K( H# A( wwhile[j < [trade-record-one-len] of myself]
7 m6 f% ^2 M0 b z. L4 k[
% B$ o1 L. [) W; S5 E2 A- k0 oset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)& V* g) u- n, v2 v5 X$ q) O! e' c1 u& f
set j6 l4 \( i8 c0 L
( j + 1)
@1 f c: ?$ ^3 Q* P]
& U( y, v9 c; M5 U1 elet k 3
+ }6 J% I" ]8 L/ O/ clet power 0
5 I! j0 `- W0 F$ H, K( o+ s p( Olet local 0- L# x: l2 \, @
while [k <[trade-record-one-len] of myself]) P3 _1 W# ]& j: K/ Y
[
, W9 b9 p7 q1 v# g6 Z9 U( ]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)
9 u. h U2 _3 y% I8 bset k (k + 1)1 V) z0 i, @% O8 [$ T
]0 X! d5 L. i2 m! d9 S
set [local-reputation] of myself (local)
1 Y6 x) j( v% g: D! yend! _: C! F x" D, V
9 V3 x5 ~5 B! J
to update-neighbor-total; L0 Q, A# X0 {( s/ Z
- J5 x# J% R1 g/ b. yif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
0 @% D* R: m4 E# O5 r; o$ w! W+ F' o+ a; \" R/ S: y. c
* q. [9 I- _. W
end
L# u1 H$ Y) {
! [8 B, M Y; G; N; R9 g6 I: cto update-credibility-ijl
; C7 O$ b2 L% T2 H' j6 V8 Z
9 z" {/ T! |- O; l( H;;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。2 |. @. T) ?6 w% m7 \3 K0 |4 z
let l 0
! c* ?7 g5 ]5 J% H5 Xwhile[ l < people ]
& J# v5 |2 }" p+ ?3 G+ Q;;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2 v! ? \: O; ]& {5 ^8 R
[
7 V& L( V! g: g4 i1 M( Dlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
; O2 F! @& l1 @% U1 Nif (trade-record-one-j-l-len > 3)7 a P* X5 q1 d' B: E
[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
2 \% l, Z5 k. h' n jlet i 35 ~: r% N9 n5 o
let sum-time 0
! R6 a* i! @/ Nwhile[i < trade-record-one-len]
* ~( B+ c' _; M8 }6 u4 P0 l6 ?, D[
6 P& z5 s+ w* z5 J7 x. W* \5 dset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )- g8 N1 W8 B1 y+ m" ?* g3 m J
set i2 ] c! p. C9 y$ _" }
( i + 1)
2 n0 u' l1 E7 o6 W0 D& p]
4 x; p* W6 q4 Y! Flet credibility-i-j-l 0* J' ?' U! L$ i) q; x4 \/ ~. O3 G
;;i评价(j对jl的评价)
5 G2 q6 s# E6 q/ {let j 3: L1 s- p% K4 q% X- z+ T
let k 43 l6 {: a0 f9 T' ^4 R1 B
while[j < trade-record-one-len]5 P0 \7 I9 X9 M5 G, R2 O
[# H) f5 E# e, W) k
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
[) c6 K. z% w) [# H% pset 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)
7 X2 L6 R; z% [6 dset j; Z# S& X) O) U( L
( j + 1)
$ @2 b2 a y1 I" b3 V]; U4 g X1 e6 c! Y2 q( ]7 Q4 J, z u
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 ))
/ M; R1 G/ Y- U3 }3 N: o8 `" j9 K( z# v- o# z9 A
6 e0 {9 L7 M2 g u
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))( ~& ^8 R: i1 Y% Q' |3 K
;;及时更新i对l的评价质量的评价
3 L4 K& l4 H' p! Oset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]+ Q4 \% R0 t0 C6 k1 J v. Q8 t
set l (l + 1)5 B* I# |5 i) i9 J5 }1 X( {8 D
]
5 Z: ]4 a9 x5 {( k. nend
" |& g0 @3 I# m, B7 u5 v$ G5 }6 f# G+ \7 H& O
to update-credibility-list2 N( b$ g1 e# N0 b0 E2 K- r( a
let i 0
0 f ]9 F. ?3 O" y1 _' M. gwhile[i < people]: ~- ~* M' y/ q
[
' u6 {3 {+ A+ b3 j6 z) Q2 @/ Ylet j 0% {; Z8 h# B! ]# Q5 A7 w' U- L
let note 0, g" U m! k$ C8 H
let k 0
% _- W% @+ l) u1 p- _- s4 p* @5 };;计作出过评价的邻居节点的数目0 J! S' h3 B) r u- V
while[j < people]+ E% ^; b! o5 W% W" l
[
- N6 L4 \! y! g% q4 ]" r' Dif (item j( [credibility] of turtle (i + 1)) != -1)
) F4 _. X) g# B4 ?+ h: d% P& L;;判断是否给本turtle的评价质量做出过评价的节点6 x3 Z' O$ `' B, Z* {7 ^4 i% U4 H
[set note (note + item j ([credibility]of turtle (i + 1)))) Q/ V; T3 f- ?
;;*(exp (-(people - 2)))/(people - 2))], U8 [* |3 }5 _' G& P/ S& t' x
set k (k + 1)$ o. ?) |, z* W$ a# K# c6 p, g
]! S- |7 p, { s
set j (j + 1) x: j4 A- c2 M) H7 c
]1 Y ^. B* h) }+ u( R
set note (note *(exp (- (1 / k)))/ k)
9 s% {9 l( a. W) w% ]1 \set credibility-list (replace-item i credibility-list note) a/ P' T! I, k
set i (i + 1)
/ f' R1 O! z+ C4 {8 D]1 L- q3 U0 T# C5 ^" l8 O1 u6 K# s
end
$ x) ?2 ^& v* e8 |. m# c7 a( V9 q
5 f* M; M. \' j2 p R' m# Tto update-global-reputation-list
' A$ C$ E& G9 Wlet j 0
/ P" ?0 D! h$ C2 x" S% Jwhile[j < people]% d) B0 L. ?4 K" Q* ]0 I
[
7 u' p# M, Z1 V: {1 c3 c! olet new 03 q U! B5 R* n8 ]; r0 E
;;暂存新的一个全局声誉; X8 w7 r: ]2 p/ U# S
let i 0, u* H- ]( M! T5 A4 R) J( Q* ]
let sum-money 0' b/ u% Y& C4 s' m
let credibility-money 0
& Y/ {. |: q5 G1 t6 |$ Rwhile [i < people]1 C( a% ]4 `) ~+ j! x
[# u* \ N; n' n' s# E" @/ ^3 C, g
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
0 P) o0 q4 {# J, X( j3 j! ~) oset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))6 q) V" c# _! v+ t, s1 B
set i (i + 1)) W0 h! H# w( B' l, Z2 L
]* g' o6 u) R7 p7 }. @
let k 0, J/ u3 ?: L. ]) I3 W
let new1 0) L" ^$ j' R) p" D
while [k < people]% `4 b$ G% P5 y6 ]" q' {* K
[7 a+ ~9 ~+ @, S' [+ ^- _- _. j
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)
4 X6 k) k- r6 a. ^- J3 G6 ~set k (k + 1)4 y( @* A# d' y" y" l; Z9 J
]2 l# B* E0 ~3 O- P" B
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) ) Q0 c* g) q6 g& q. _: Z' M M4 T
set global-reputation-list (replace-item j global-reputation-list new)( v: K" V1 z2 Y% n
set j (j + 1), n j: @' ^. P3 e8 m) x
]" _. v: p' |4 y" e) g9 h
end
* B9 ^+ k- m0 K9 n6 B
0 }% n& d: C( {, Y& T; T- R/ [( Z; E: H% d5 g
+ v6 K. }; d* \4 l; B1 y# p, kto get-color
. Z) ]- g. n1 q, c6 f, m& V% f) F
set color blue
& I/ G& j& {* ]9 J- R1 k1 w, Iend! \1 T# ~1 `& I! u
" W* l( P2 l# ?* L- \to poll-class
( i8 z0 j2 w4 ]. ?- y8 Kend
8 k/ p; |6 ?, j& P: e3 u9 E3 L9 ?1 u A1 t
to setup-plot1
! ^/ y# X* H: R6 n2 A: G" A. l6 l, N n) A- F
set-current-plot "Trends-of-Local-reputation"5 {, c/ v* r$ l. g# m
C1 R# T+ ?" }2 s! uset-plot-x-range 0 xmax
- S5 u4 }4 B, a5 y4 i! B
$ s* W5 w$ Q3 o# b: Sset-plot-y-range 0.0 ymax F* Q+ v. _0 ^* c {2 ~
end2 {, B; v: _. ?/ V5 o2 I
/ |* o0 c& t' ?. z, oto setup-plot2
2 \" B. |% Y7 B; e& G5 T/ R5 ~% f
& y( @. {( K* a, A9 f6 wset-current-plot "Trends-of-global-reputation": X; I1 R' b. k5 u- |
1 f5 v6 A* A3 _) p* q
set-plot-x-range 0 xmax3 j1 y9 ]) ?& z1 q: D' P3 I
8 z; K' Y, H, Q4 ~. m. lset-plot-y-range 0.0 ymax% F: a$ B: c& t$ [! |" o7 U$ J% G# I
end6 F, I$ U' p0 _+ `5 @! b
0 R' \& c2 E, V9 m3 uto setup-plot3
7 P# T) x* U: `- T0 r
: h5 y A0 y# c/ Tset-current-plot "Trends-of-credibility"
; z$ k! M7 G' u# z% @+ b
" h- F" d! X; |" J' P' gset-plot-x-range 0 xmax- w: f% y5 c: x0 v9 B. O! Q/ h
* s# T3 A8 r1 ^! A w0 O2 s
set-plot-y-range 0.0 ymax* c7 R9 l' s a
end \ n" Y% D- q& W6 B& l4 A! T3 y
9 s3 C( a9 C. t7 _1 m2 ito do-plots
. k4 [, m' q0 f8 Sset-current-plot "Trends-of-Local-reputation"& R5 Z1 U$ y9 v2 f% F
set-current-plot-pen "Honest service"
6 _5 U( E0 ]' g4 T# \1 O. ~1 ]8 S6 \1 oend. [9 H3 A; V1 q% h4 P$ X
8 M! B# i1 q' }+ m
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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