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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 w( s- Q8 o' j/ g. l/ u
globals[3 A6 r6 t8 X. T6 X# w
xmax* D& @0 m' l0 ~
ymax
. u: P$ J5 ^$ v) D" F# \' k7 Kglobal-reputation-list' A8 G% W, L6 x0 T, z3 S9 S
2 d. _* O$ W0 x, l# Y$ x7 c' [
;;每一个turtle的全局声誉都存在此LIST中
- l2 f$ @/ k+ ]credibility-list( n4 v% s9 J9 ^+ D* @; c
;;每一个turtle的评价可信度
4 y' A$ a* u) A; @* S- I" O8 {honest-service
" T/ {. Y5 J/ P" {# m1 gunhonest-service
* w, Q0 r% j1 Z! Joscillation, P1 \/ h; k( P
rand-dynamic
5 z) Q" O3 s* a; n9 u]% L( v! u+ L7 Z! w0 l$ M- w+ m
! `- K" {) ~$ C1 [2 _
turtles-own[4 t0 a- f$ P7 y% j+ e( D! ]
trade-record-all
+ h+ B* Y- q1 `;;a list of lists,由trade-record-one组成7 V( r* i# f6 ^9 Y
trade-record-one
% U9 Y! R2 z1 ~# W; [6 B3 y$ y;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
9 t7 [4 ?; y% k- p% w+ x( X: U8 K3 |
' b( ^ L9 j/ L# ]/ S& D- p;;[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]]
Y& v# q( s xtrade-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]/ L# Y2 v L# S1 L3 A1 U# o0 v
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list
0 q6 J0 y( f; G cneighbor-total
" C6 ^/ u7 w- @! O! w- x: y;;记录该turtle的邻居节点的数目0 @$ d# f5 N5 z8 ^
trade-time
; `" ~& f/ x: G' k;;当前发生交易的turtle的交易时间5 _0 x( F0 k- o* C$ I* v% K) g A
appraise-give) b7 z& C6 d% u- W3 V$ C
;;当前发生交易时给出的评价
4 O; M7 x2 O) P: ]( t% jappraise-receive' j% F+ s/ L, }# Y7 j. f* }5 I# y; E
;;当前发生交易时收到的评价
. P3 Q. P/ F5 Z! Zappraise-time$ h" E- o: W" e8 Y/ N
;;当前发生交易时的评价时间
' O3 D" J( b4 C* t+ v0 Klocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
! N( N' q$ d4 U2 `" j' F: Gtrade-times-total
" u& y; _) K9 m6 K/ V2 J;;与当前turtle的交易总次数( `! F4 P7 d, V" X% R
trade-money-total
' R- K' P9 _1 t0 T;;与当前turtle的交易总金额
1 O, b) X% ]8 v$ e" x3 Mlocal-reputation
g- M; {% c4 L+ H& t; h# U" M, q" S9 hglobal-reputation7 A. A. j" @6 F. f
credibility
- x4 t% ^8 E- y+ a9 L;;评价可信度,每次交易后都需要更新* ], S) I9 v9 x. z& {
credibility-all& E& p \; r+ h" Q" L8 d) E
;;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' `! ^" e5 n3 t/ Q [2 w: @4 r) U
) A: B& ~+ z" e6 ^9 [' r9 v6 G;;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) }8 r% G7 } K# e8 F6 b" N! _
credibility-one
7 |1 h6 Y; O$ C7 }' ~9 y$ S3 j;;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6 H- U7 A( R/ V% O' ?( u7 W3 q. `
global-proportion( G& N; |& X) ]+ O& O9 h2 G
customer" E* i. {) ?$ m( w( Z' a. W
customer-no
4 h% N- C& b4 ?, S- T4 u/ A, htrust-ok
4 Q) \+ f# `3 W7 A8 |5 V( g) ~: U' R. wtrade-record-one-len;;trade-record-one的长度$ ~! Z1 x# V1 l6 h$ t2 y
]
6 J# ^& @2 c9 ^9 w1 `% g4 d* f5 f- L& H- [& N2 h+ U- S8 X
;;setup procedure/ y' Q2 L0 v) V/ y }* _
- S6 H) w3 [1 e g0 L# Y7 q- ]to setup
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ca
. C9 x0 `- G- I3 X9 @! P
3 ]5 Q P7 ~* d6 X5 Q! binitialize-settings
& u( k+ i6 j- l& B, [# y. t Y' }% ?# T1 Z E
crt people [setup-turtles]
" j! I7 X4 j9 ~; A8 [4 E8 a
" v$ s, n6 `. ?: A2 l9 E+ f( M, I1 hreset-timer
B) F2 O1 R8 G, y
# c7 a6 x$ p0 e O- |poll-class
, t) }6 k1 }4 e( Y2 g" n7 H& {6 V8 q* J) l5 @
setup-plots
" h; I. _7 Y4 l* z4 X% L `5 L) ~* N
; P/ j& y9 L8 m) R0 V' Kdo-plots; d9 D) l; `: a
end1 {# @8 q/ o9 d7 F6 d# D! X
+ i, |/ m; Q7 j9 w& B6 Ito initialize-settings* z% H; Z3 S* ~0 t% j: n, ~( G1 d
9 d# R) x3 E. yset global-reputation-list []) i0 ~/ Y( d0 s8 t# R3 P, W1 }
6 u; N: U+ r B4 n; Y
set credibility-list n-values people [0.5]
c$ P9 e6 W# _
4 M0 T6 U; o. u3 R: m+ E# xset honest-service 0
; v8 b# e3 i2 u' g
1 L. H3 c8 z8 E' uset unhonest-service 0+ |' i5 U) K$ m; G B/ a F4 B! s9 U
8 u4 k' h0 x# {" |
set oscillation 03 e5 p% L7 A' A X/ L5 f
6 }5 \ H/ O2 O) R% ~
set rand-dynamic 0
& A- q6 Y B) M: [) ^end
+ u/ P: x5 R0 g) _5 U# e. V+ }. S1 i0 q
to setup-turtles
4 ^! x5 S* u# ]/ T* a: [set shape "person"
+ q/ e8 r& J; ~3 [setxy random-xcor random-ycor
9 Y8 t* `' ~2 F2 Wset trade-record-one []
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set trade-record-all n-values people [(list (? + 1) 0 0)]
( k- [4 j1 }4 ~4 i' h3 |' q0 z8 z4 ?$ t, H b6 D
set trade-record-current []
6 P! R3 y" t' e; C. Hset credibility-receive []
+ @* A; M8 b* n% tset local-reputation 0.5
/ ^$ B" h- C! c$ Q |set neighbor-total 0
* n% _ v6 ]+ k' }. N" p& gset trade-times-total 0
( m; a, @6 O/ P/ j0 ~+ U+ zset trade-money-total 0
2 b* f1 y0 u8 |set customer nobody1 K7 c e$ o# H, x5 z8 H' V( L
set credibility-all n-values people [creat-credibility]
, j i: c \7 F9 M4 jset credibility n-values people [-1]9 `9 k y$ ?. v# f* j% y
get-color S/ S t$ y" }% V- N. X4 O$ H
: Y# @0 t/ D; q: j- B7 u
end
4 W i! A7 c$ A3 h6 e6 Q$ u7 H0 W- |
to-report creat-credibility+ G; H$ H" K+ a& P4 v) P& ^4 m
report n-values people [0.5]
+ b3 c% J* J% G8 D1 Kend# L. q) [4 ^+ m1 l+ K
9 Q! J0 X N4 Q" E1 Ito setup-plots
/ X2 a4 [0 n4 H: j+ x+ P+ l9 h w `1 `# f1 m
set xmax 304 N. z' y8 t1 D- e
% K/ E- z4 Y f$ q( o0 V' T8 g
set ymax 1.0
% M' N* n5 r4 Y9 N! C' t; g
& }) g' s- x( X# G0 {0 V9 w" yclear-all-plots% K& B8 J6 t* P" y; H
" d; ^1 w" V3 ?" p& s* {setup-plot1
) |" U x- p/ J2 z! F- Q1 x* _$ ]+ E* x: L# r- `0 r- r
setup-plot2, ?8 }: W9 C$ P& Z0 S1 @7 U$ s
. n, z0 m9 u% ysetup-plot3
; S; T; P: I% T3 n6 A- y: |3 Tend0 F1 J# D. m& B, B& `
5 f' v8 t5 V# ~1 m% n- g;;run time procedures
5 M' c0 x. d+ v9 H% A, l& A: s
; _" P! s% C9 k7 U: D- ~" fto go) L7 E4 k- Q4 J- G/ F. W0 z
& x$ f8 [/ r! Z u: t* S' uask turtles [do-business]
, _' Y( B- X. ^9 ^( K- [end2 Y2 C- l# y. v8 D7 J
- `6 f0 l I( [' O/ l1 }5 D
to do-business ( K: d* z( T- ~( b8 M
; X# {0 C1 v; P8 c# B0 n
$ M3 U/ D8 S: l7 Q- r2 n, l5 T
rt random 3604 u8 Z" P( r; P3 D( r
. T+ t/ G4 ^2 R0 {8 Q/ xfd 1 d) z: b+ O" s3 W; k
- d' X8 g4 k' \3 |9 @
ifelse(other turtles-here != nobody)[8 i1 x% v9 N* V% \& b
, i# {0 l( }: k9 N
set customer one-of other turtles-here
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" ~# h$ Q# q. ?, j7 l1 d;; set [customer] of customer myself
' ~6 p4 z: l, W7 V6 [9 n- I& |- t4 C% W: [
set [trade-record-one] of self item (([who] of customer) - 1)
6 j8 C( l& R# {. M% W[trade-record-all]of self
& |& b. P$ [* Y* A Y;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
: D( } i2 h$ m! q6 h3 [: P# I6 g" v- |1 k2 e) i0 I: a" y
set [trade-record-one] of customer item (([who] of self) - 1)" V' N1 _1 @# n- f4 \8 E1 R
[trade-record-all]of customer$ A8 F# W5 k |( n
) b5 q( J0 {7 R" C+ P5 T$ F
set [trade-record-one-len] of self length [trade-record-one] of self
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set trade-record-current( list (timer) (random money-upper-limit))- _' K; R `# i6 w' o
+ z' |$ I8 x* L2 Y1 i
ask self [do-trust]* j7 o' S3 B8 x5 w7 n4 x6 U9 q
;;先求i对j的信任度
) b4 @& H1 F$ f: C% C# \ N/ J
) t( ?# ~" ]: y, Wif ([trust-ok] of self)
) T/ I4 {# W6 p, E$ R;;根据i对j的信任度来决定是否与j进行交易[
* C, i! P5 b" f8 P) q4 jask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
2 U1 k& \" J7 k9 R+ _; Y6 w3 I' O b, [$ X9 D: x6 g
[% b& I3 _. T; d1 ?
) r7 y/ r; }5 \
do-trade
j ~- s6 U3 w) V4 @, N1 u5 I5 A+ E* o& U
update-credibility-ijl. n2 y n. Q4 A
6 N( X8 s' }9 V# f, t* gupdate-credibility-list D3 ?1 T& z2 X* f! m
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5 Y+ f3 B$ _6 O' n& @7 N& O. |
update-global-reputation-list! R U- n( e% W3 a2 @" r
) K0 d1 w' O: ^, a: `2 ~+ e
poll-class9 H. z( q$ Q$ j& @5 }! ?$ C6 i
; z. X, n/ [9 n
get-color& h9 x, l( R7 c+ v
6 ~. n6 p4 n5 \- ~7 b
]]
3 h2 v& k$ I% Y5 a$ m% U, m! h/ o; A: a5 k
;;如果所得的信任度满足条件,则进行交易
# R* I3 b/ F* R( h1 u% R3 Q
3 S2 F/ y) G/ ^) q/ k[. v6 \0 ?7 J8 ?( {4 K
|8 C1 O9 Z# d5 c0 h" _
rt random 360 v1 m, F# Z0 |" g) D( H
0 P! t, z0 H2 b* Y- S& ~$ jfd 1# ^; p5 U# M8 y# A' l3 U' {
8 a% L8 X+ f! C) I8 S]* Z5 i: b& {# F; W' U4 X# s! k
4 c5 s' E5 u9 F+ J8 g. j
end/ m# M4 L- ^. b+ O9 I
- a9 Y6 |3 N; {: u# fto do-trust
) o! @: @5 a2 m/ _3 Fset trust-ok False! r& c1 k: p- w. w9 M' l
! S" B) x. J) v3 X: T: E) @; W7 C
) j/ [8 a# t, [' p/ y
let max-trade-times 0. `* E% p' T6 M2 ~2 X% z
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]], D [/ @- ~" l+ o
let max-trade-money 0
* n; q1 X3 h( E0 j2 V3 H8 Yforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
% ^4 ?3 b: E4 j- Ilet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
. Y4 `8 S- a& B4 G ^/ l1 @) g+ f
- g: f6 B3 S8 Q# j" m% S
: M: A8 w8 w# z9 F" Lget-global-proportion4 z6 x c! l% U; h( @' S; O3 O0 t
let trust-value7 V1 v) ^/ V/ O& H D1 b, }
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)1 w) S* o5 J u; e/ d$ S
if(trust-value > trade-trust-value)
8 \; Q$ p( x! ?7 h9 w[set trust-ok true]
! z5 i: p5 }6 K7 u7 f2 ~4 cend
6 k9 g( c$ Q3 d" k) r( c- v" X6 T- O4 L* P) p
to get-global-proportion
; t/ V: R1 G& H# D- W9 b" j Sifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)7 f* N6 C7 u8 n9 {+ N
[set global-proportion 0]) q0 s) g( w# U- s% M9 q
[let i 0
$ `+ J, L* `4 u" y B& I$ H. Ilet sum-money 0
7 Z. l! V! c' c% C- s7 _0 p- Dwhile[ i < people]
2 u- l7 u- Y. Y[
7 I' K/ I7 l& ?if( length (item i7 N1 ^" ? A0 `/ y. j; q: ~
[trade-record-all] of customer) > 3 )
& X1 H% ~( p/ V' i/ w% B[
0 r6 b7 p0 K: J! lset sum-money (sum-money + item 2(item i [trade-record-all] of myself))$ g- ~+ ~" A3 \
]
. o; g" w' @$ z' m3 s- F$ q]
8 T+ f; U5 U2 }7 |9 [+ T1 W# Llet j 0: G) k1 V( a# S; P
let note 04 L2 o$ K. b# J; @
while[ j < people]
) N4 Q8 {. L5 S X! m0 d[
7 s; H Z8 m/ `. x# m. lif( length (item i
: B. O( p1 Q/ }; n& O9 b[trade-record-all] of customer) > 3 )5 ^6 D. E% j1 @& |5 m( u
[) E3 T5 W' J" P3 A: C4 y
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)1 q% {3 x# f! V8 x5 x# l
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]: ]# e" @' Z8 g5 ?: R
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
7 a$ `' \0 j3 ^! H, h]
1 s# K% K" @0 o- v0 U7 N) R! x]* z$ ?6 ~2 k, b/ Z' m8 k, N
set global-proportion note
- i' n" T* C8 }8 q; K. `* x1 y]5 w* v0 m6 i5 o7 P
end
1 `1 K% N8 W D2 D# X+ c# j) D) G3 h: n: o9 p' R
to do-trade. ]% I$ ?3 _" x2 ~& l8 a
;;这个过程实际上是给双方作出评价的过程- B" |8 K! Y1 G. `& |" i7 v
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
( e/ ?2 e. h/ Qset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价8 [5 ~8 J5 [* [9 b1 v9 u( i6 J
set trade-record-current lput(timer) trade-record-current
7 t+ Z. T" C c4 y# K;;评价时间6 W6 f! t8 P ?
ask myself [4 n! l! D7 T( L* L1 B b
update-local-reputation
Y: }/ _* @7 W7 F; E0 Wset trade-record-current lput([local-reputation] of myself) trade-record-current- J1 U5 S+ g) f# B
]6 [3 {5 |* H* l! f7 D h. n
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
& g% ]5 T/ Z# @; A( O4 i. @ ^5 \;;将此次交易的记录加入到trade-record-one中
' Z" t( X* [: }" [; w8 Jset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
# A O) t5 D$ Y, t! g3 ?% Y6 Clet note (item 2 trade-record-current )
4 W ]7 T# O6 F9 K$ s6 rset trade-record-current
7 }: q# G+ h- n8 a7 u(replace-item 2 trade-record-current (item 3 trade-record-current)) M: k+ e* ]: Z
set trade-record-current
( P W7 Q& s9 c% O- v' Z(replace-item 3 trade-record-current note)
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$ l' M# W0 q1 |/ |3 `& I0 r, a' Z; {. F. \9 z5 g9 _) ~
ask customer [
% d' V( g9 S& K fupdate-local-reputation( f8 v% k+ l& f9 ^: i( `
set trade-record-current
$ u0 M* P6 {; B6 k! {% a6 N$ o5 _(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
8 Z7 g2 s8 T& |0 O* o6 S$ [8 ^( @& f- l]
$ l* u3 J) H* T7 {. }, e' h8 E# [2 `, P
! l$ f, f' P4 A0 A) X
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer4 i* {% g' M5 y' e' h5 M+ q- U, p
* q* h. x+ k+ I) f( w- B% t$ v2 G+ S
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer)), |) r& V. p, @1 c- M+ J% ?+ x
;;将此次交易的记录加入到customer的trade-record-all中& d* ~: `/ s6 P3 U% {$ n: |1 w. [8 Z5 a M
end
0 t9 ~$ N' R9 a+ U& ~* r, }1 G& Y# [8 o& E% S+ o9 _
to update-local-reputation1 W k1 O3 D: ^% P* ?( h; @
set [trade-record-one-len] of myself length [trade-record-one] of myself
8 A1 U( j+ o+ `! p( E
3 _. ?2 f5 P! c
( v. S7 _! W1 ]. W' u;;if [trade-record-one-len] of myself > 3 $ C$ ^9 g5 k# j* e
update-neighbor-total( ~5 g3 E P2 F' C7 y$ `
;;更新邻居节点的数目,在此进行# d+ p* e7 ?% }0 E# J1 f/ X( ]
let i 3 M- x9 o1 j! @4 w. Y" Y/ m
let sum-time 0
# T5 R( N- K6 Y2 ^: kwhile[i < [trade-record-one-len] of myself]
7 X7 \, F8 m3 @& Q9 ]& p[' n0 k$ L& B) d9 M5 N o. o
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) ); d5 c: q& K D8 X' Q: J* N2 z
set i$ }0 k! L5 H9 l- B. f+ I
( i + 1)
3 _7 S5 [+ |4 _) G& {5 q]
/ C: h. X, E+ Q$ n" l: I4 U1 ulet j 3
, i& i. @$ i4 M( `2 _* mlet sum-money 0# E @- H3 H( m8 u
while[j < [trade-record-one-len] of myself]
$ Q. d7 f4 U$ D6 C2 M: o[
z* d4 F% l- M9 i" ?2 tset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
# {3 l$ p& M4 v! nset j
* l& n" T0 f5 V$ ]+ u+ m8 F2 A( j + 1)
2 w& D1 t% L' Y9 X2 Y]
0 q: Q/ g3 N! `8 G& N* ylet k 3; N# q4 Z6 r$ e0 O% m( z
let power 0 q# y b/ ^8 u# I
let local 0
' ?. j* C4 V ?4 Y6 W" qwhile [k <[trade-record-one-len] of myself]* G8 ?0 R( y" x! [! V* k0 I
[3 p$ V. s+ }9 {% Q4 J8 A- _- N
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)
; `0 F' p8 C+ z/ uset k (k + 1)
5 }* u$ K) c6 }" K$ \, s]' W7 A- q- O8 r6 W, x
set [local-reputation] of myself (local)% b7 O1 h8 L R" C
end7 b: S4 |7 A1 F: s0 R% }
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to update-neighbor-total
# G8 l( z$ N9 t9 J5 |
1 Z `/ `. e% J+ x" I3 qif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]( n* _* j6 _) o2 [3 r
1 V& z$ j% G" o- m- E8 s
5 U" E/ i9 s9 Y6 F
end
3 F" ?' g& I2 r; }5 N
* E" L; I p/ E9 J% F% Q; Eto update-credibility-ijl
0 v0 C2 J$ C! h& y. K9 r" v$ b5 f" L5 L9 v! C* 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。
( H" n! b* q8 Plet l 0
i3 N- M( R {+ Y" Vwhile[ l < people ]: q4 l2 E7 w' y5 F8 x4 C6 l
;;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
* v3 S: {6 ]7 m4 ^ Z! _[3 d8 q9 Z E7 N. G
let trade-record-one-j-l-len length item l ([trade-record-all] of customer), p( R. r" q* S ~9 i
if (trade-record-one-j-l-len > 3)# H/ c4 \# u U8 n6 @0 ~! j
[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
9 Z- O( h: f$ ^3 jlet i 3
$ i* \- o4 w% E5 v! `$ elet sum-time 08 z+ A' Q( H. c1 P/ m
while[i < trade-record-one-len]
- l) k! \9 Q2 q[( S- u5 B$ d2 b
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )% A/ a% x: _/ L# U/ s
set i A Q$ B8 M! F: G/ H a. X8 L# ~
( i + 1)" C0 f+ T0 f# y7 a6 X- v
]3 @. m. a; J8 V
let credibility-i-j-l 04 Y0 _- w9 o' p; j$ Z/ |8 g
;;i评价(j对jl的评价)
. t" \" g$ o b9 q* \let j 3
6 i' R% S+ ]1 Q8 U1 P5 Z2 H! h1 olet k 4
1 `% I7 E8 U9 Kwhile[j < trade-record-one-len]. R1 \ h$ ^) L% z' [; G" n& m
[" ^; M# E h; u- A
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. m$ {; y: ]0 c1 N" ^, T
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)
+ _" s4 T! C' k( J, ?set j
3 j: i* ]: S! K4 u8 S% T( j + 1): D8 ]4 B& k0 C2 T; s1 \
]- T$ |% h9 x$ c, L- t, c
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, @0 z9 V, i) t
6 T- D9 n+ \$ `+ \, S
+ s' q6 t% d. Olet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2)), _6 j- I% P$ ] h
;;及时更新i对l的评价质量的评价. m; V2 _& W" R, a% H5 U u
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]- A: K1 A% x0 X8 h/ V @7 K( V
set l (l + 1)
9 O- D) G$ s* J9 J" b1 ?* _]
( T2 a S/ i1 D8 v% N+ Y7 wend, \6 X0 s& W4 W6 O
( y# \4 Z0 E2 A/ Kto update-credibility-list
5 a! \. V5 v9 s1 W G1 {. Y0 w$ `let i 0
( H7 n: Y2 I+ [while[i < people]
0 e) `( k( G: A! x, O[& v9 I4 i" D- z6 V- v/ D* i
let j 0% e7 a M( M( D
let note 0
* H4 b( E' G. `8 X- olet k 06 e9 {9 t. ^8 E& B; a0 ^3 q
;;计作出过评价的邻居节点的数目/ {- L5 w" _3 i5 Z# f) Z: ?
while[j < people]# i% k8 g2 Y# P( M1 N' {3 D8 v0 T
[
1 h) [) K& @ t- Jif (item j( [credibility] of turtle (i + 1)) != -1)
+ M- {: W) D" a7 n1 w+ W- M' ]5 F;;判断是否给本turtle的评价质量做出过评价的节点# Y6 S+ x c7 k' J3 f- ]
[set note (note + item j ([credibility]of turtle (i + 1)))
8 V( x1 g! E2 g# _* G$ J$ d; p;;*(exp (-(people - 2)))/(people - 2))]
; q3 P. |. \' U5 _: a8 _. V- f7 yset k (k + 1)
$ K5 Q# F3 R6 ^6 \0 K2 X6 y6 z$ ]]+ d/ V& u2 B4 ?4 I) R
set j (j + 1)7 U/ l |; j4 b7 [. K- E
]
/ `2 z+ {1 N% M5 @) o% V' T( Iset note (note *(exp (- (1 / k)))/ k)' }; {1 X, I+ A& S# ]: H
set credibility-list (replace-item i credibility-list note)
- R$ Y- S; n& D. |set i (i + 1)/ \; |8 P( V+ y
]
( Y# x1 |' V- \) m+ tend
+ `2 e* A! U g5 _; v
) a/ e/ c9 s- M( [ `* w1 ]to update-global-reputation-list
( D- N w9 Y( E7 v: V/ S% l6 _let j 0
* T9 }/ P5 W- g* Z nwhile[j < people]: E0 ^) j% Q j5 O
[3 x# O% t7 U0 m. G j& B( t
let new 07 C9 U& f2 F s7 F) r1 H1 H w9 [4 m
;;暂存新的一个全局声誉2 W4 O; k& k* j) s! Q
let i 0
5 I! w1 k: K$ g$ {% K( ylet sum-money 0
9 ]1 t, `- x7 J! \let credibility-money 0
- V0 i$ F" c, \, qwhile [i < people]4 @0 U( g5 o$ _' ~: x0 f
[
5 x: H h! P5 L* dset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
/ D7 Q8 p0 {& }" c* B7 F3 [set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list)): A: m/ F ~4 s& N+ o
set i (i + 1)
4 @8 X/ [4 O8 ^, b# a- q' k6 y- }]9 p& \0 p+ t% R" ]
let k 0: F9 K3 K7 z3 D5 k; w
let new1 0
* [2 h" r+ a+ u! ^$ k; Q8 lwhile [k < people]
1 H' @ m( I( D5 D$ [[( P6 m' s2 m4 a, G: 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)' Z4 E; [2 |) U$ H- Z: D; X6 R* @
set k (k + 1)- V# L+ |% h, ~0 B. E
]
0 ~/ B& v8 E- p" Q+ tset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) & H/ T6 o4 R* q( A0 v4 ^ P9 y6 f
set global-reputation-list (replace-item j global-reputation-list new). q8 Y' ]. W9 ?( U3 H6 O' x
set j (j + 1)) C7 @( B* P# v b. t o U, L
]
. E( ~0 W$ m8 h3 Fend* h9 J E. x5 n" W! K2 Q9 J6 `/ `
9 h5 R8 Z: ]/ P1 `6 u" B, @" e/ V0 ]; F
g& n: k8 l2 d6 m
1 z5 B9 U7 c2 ]1 o$ O! b' e' n3 kto get-color( U* m9 I) x, j8 d7 \+ ?& A0 ]
1 ~3 s1 o! D# [4 z% U( Mset color blue
- F [6 [9 I( C. S" uend
2 n4 `2 G- o4 z# E; ^+ M- U1 x; H
to poll-class% r$ Z. L+ X- _ B( u2 f
end; F0 d# q, J0 Z. W
) S2 A7 y6 k/ j/ K, z
to setup-plot1* a0 _# v5 d+ _4 c E- e# r7 r
! k/ h+ q6 @: [0 D dset-current-plot "Trends-of-Local-reputation"
& l% g# A$ H- s6 K! r
+ H# k( I; {: y/ {' Wset-plot-x-range 0 xmax
% I: w" C: X% U0 ^) t7 L9 J; @/ }* G( @$ W
set-plot-y-range 0.0 ymax9 o2 `( e3 U" p. N8 e4 [
end, u4 m1 j, S' J3 X+ Z! [5 Q
. x/ y" W/ b2 L% Z$ G& H5 x
to setup-plot25 P8 _0 ^; h# K9 g% Z
3 S; }4 t6 Q& y L* u/ gset-current-plot "Trends-of-global-reputation"8 c4 R" P P6 M* M, C
# A: z& x# H9 r& G! ~ Fset-plot-x-range 0 xmax
" z, Z/ [# ]3 {+ v3 _. a; J* s# |, b# R8 t
set-plot-y-range 0.0 ymax V k4 t0 P) w
end
# f# N! \' n! e+ l6 G! J3 b1 l
% m/ R: z5 z. a6 nto setup-plot3( r; |" Z4 E. ~2 o
; b9 U4 Z5 w. T0 nset-current-plot "Trends-of-credibility". \4 I( {6 E1 i; z( \% C. {8 I
9 [4 I6 ~% k( Z" \+ H& E! R
set-plot-x-range 0 xmax# H1 O& J4 U/ _
0 h. M; l! h$ H3 ]# S2 v
set-plot-y-range 0.0 ymax7 t# s& Y# v0 a, k( S
end' Q: _( B, R0 b# [
) y6 A6 M( i9 w1 A# U8 e
to do-plots! ?0 ]3 B8 _' ]* Z0 @* ]
set-current-plot "Trends-of-Local-reputation"3 C- l+ d2 }! T( h Y0 T/ j: B& u8 z4 ~
set-current-plot-pen "Honest service"
/ F1 k+ W1 h! W# ^) aend2 W4 ~. U% i: V6 W" x, U f
; t: Y+ X8 h: y7 b/ k. x0 P
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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