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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 U h4 E: K8 w4 W6 F% M" h
globals[. W3 \+ }! k& u, t. }9 N
xmax
* _: ^8 G! I8 G4 X/ `0 @8 Yymax; X6 }- [& s0 ~. B
global-reputation-list
8 _. Y+ A3 ~0 c+ n8 i4 g( Z9 _) W# o! `5 j
;;每一个turtle的全局声誉都存在此LIST中
4 B7 V; d3 o& n, b! U7 i( Ccredibility-list5 ^# q( _/ O1 A0 w
;;每一个turtle的评价可信度
) b6 G2 L4 v- @' ?, dhonest-service$ ^/ n; W4 b5 h3 p3 o
unhonest-service
! G) _% Y R9 U) N! `2 B" f3 n0 C Noscillation/ d/ X; n" n9 e) a6 | ] u
rand-dynamic% z3 M5 D5 v" g0 t; p
]5 G0 ~2 O5 m0 ~
( I* h. B9 R7 Z; \turtles-own[1 ~$ l0 i% }3 D8 z! W
trade-record-all
) d) x( i& |. _$ T. O;;a list of lists,由trade-record-one组成2 d+ N$ |7 I" R& g: x7 l( M$ ?
trade-record-one& l' a3 C- ?- v( ~2 p5 h# p2 ]
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
( U7 c% O$ a, t* j0 g$ r, P6 |7 ^8 B! F
;;[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]] e4 ]+ Q2 b" C. y' G
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# a3 R- t0 G$ d, T+ `" N5 c
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
) m- O3 s2 c) S6 X* H. Bneighbor-total
" T f+ H! j7 R$ }2 f3 D;;记录该turtle的邻居节点的数目2 i( f' S% ~* J+ y1 n6 |, J) R( U2 m
trade-time
, r) t; L# O8 u$ C6 h, Z, Z, [4 e;;当前发生交易的turtle的交易时间4 H" d5 o" g& g/ e
appraise-give
5 l7 n' h8 ]/ |( o% e' T2 a/ b;;当前发生交易时给出的评价7 P% t ? R% J7 M9 V& g4 N/ ?' [% Y
appraise-receive
m) t t1 N+ @;;当前发生交易时收到的评价5 y3 Y8 K* T' u$ a% v1 J2 _
appraise-time& f. e6 |4 ?: d5 t: @' J+ j# X
;;当前发生交易时的评价时间$ `& n! S! F5 w: B
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
+ e; F) N- U; w. s# B9 wtrade-times-total
5 @% W M, K6 v( ?0 p* ?;;与当前turtle的交易总次数4 ?4 X @& I, y& R! c
trade-money-total
) E8 e; X$ R0 o$ F: J;;与当前turtle的交易总金额5 p8 H. Y c, o2 Z% Q& Y0 t* v
local-reputation' X' P3 r9 m! I* ]- [7 G- @; [
global-reputation
% X$ z2 M# d3 Y" a6 n7 x" c8 M5 Hcredibility
5 [8 P, Y+ H* _, O$ k;;评价可信度,每次交易后都需要更新' o+ \" ?5 K& _% j
credibility-all
" H* y: V; X% G2 \: K;;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; s3 T( X. m. X2 O( Z
8 h/ L: g, v) h/ i6 [/ O# J;;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
m7 Q. W& Z x! A: |( Ycredibility-one
7 x+ ]- m4 o6 c) X J" Y;;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; m& N6 r. O' T ~/ m
global-proportion8 e6 N+ w2 t# `5 f( }- P9 z
customer' `9 N8 u3 F4 X) A
customer-no
: n7 B# ^ v6 K. S4 X. p) x8 Htrust-ok
2 ?8 q0 ]' q: p. `trade-record-one-len;;trade-record-one的长度+ r# d& V9 q* u0 g
]
+ q/ J1 R+ U8 g
# K0 ^' b' W* _8 S# t0 T, [;;setup procedure
& U. E9 z6 o h; i8 Y+ ]# i s
7 v7 p9 e2 O4 _* J7 }5 e/ O4 Yto setup) Y, W, W( M3 y" E) N
) O8 V: K* k7 ^! O% ~6 Dca
$ X0 T$ ]4 h, c" e1 {8 [% E0 Z1 q
( G$ L, }% v+ J# j& \/ r7 _initialize-settings
3 b. O; T# `8 Q: y: E3 n$ I) X3 y
crt people [setup-turtles]% c, @+ `6 [! I6 a( y5 F; ]- ^) `
: }3 F. a5 _8 B# _
reset-timer$ }8 _4 r- ?; ^ D5 J! T4 j+ R
' F' e* K* _0 z& b) d0 Gpoll-class
f( y' w+ {% @0 t$ i8 P0 F* V: H: o& v
setup-plots
+ F$ X2 q3 B& K7 y8 W; n# g+ ]" q: Y5 A2 q/ d
do-plots
4 C, M) p4 E) Z, [end: H1 s9 q6 ]2 X: K6 S8 x. S9 n, S
% S# M1 ]0 L6 I# V' Y- `5 g7 A
to initialize-settings( q# J% h* ^% M: u7 E. ~3 o1 O
- t. Q, H0 {( S2 z
set global-reputation-list []% i$ T8 a$ B+ |$ E f/ [6 [
4 h" q! k, Z2 a- k( ?& `
set credibility-list n-values people [0.5] c' f N! g+ ?& y, G; h- c+ J6 T+ P
: Q5 }4 }( i0 }0 ?/ B6 [& Qset honest-service 0. [9 _( n: S- |# b* a6 L
; v# r) a+ [0 |3 F5 t2 Y) F
set unhonest-service 0
' i% m. l3 ~4 j# q* e5 b G R6 \. k0 a5 {, c# a& X1 `" A1 Q
set oscillation 0
- w% e2 Q: T) G2 k6 G
9 [* n8 B8 w# ^# n4 B- iset rand-dynamic 0' X# }* V2 k) U. H6 i: Q: L
end
3 {( o: Z# a2 e: y/ t6 L5 H1 P) q7 O7 n% u& I" p
to setup-turtles 1 _8 N( m; _+ t _
set shape "person"5 }. K9 b: _. G
setxy random-xcor random-ycor9 ?; H& L% k6 ~2 R
set trade-record-one []
. y( H$ }. Q1 O, T
1 G) ?( B4 U7 y' y5 rset trade-record-all n-values people [(list (? + 1) 0 0)] / p* _, I; T4 P! z
& a% m: C x/ r/ _( E" P$ aset trade-record-current []" q6 c, F w3 T( u
set credibility-receive []
' h0 o/ W# R* k- J& w4 w9 L) [set local-reputation 0.5
1 D# z9 I7 S" z* pset neighbor-total 0
8 H8 X- T1 g+ vset trade-times-total 0
; |, h2 E/ i" i4 A( bset trade-money-total 0& ~0 l7 B. G5 {- ?# {% `
set customer nobody
% n" t1 F) o, _. Nset credibility-all n-values people [creat-credibility]: W, b, V, B) D* r/ j6 { L: m
set credibility n-values people [-1]/ I/ s% Z% i5 A" V1 P; g% k
get-color
* P$ @7 [/ Z2 O. {( F* E
( x9 I# X' D# _8 g6 X- mend
4 n3 T4 j& X2 b0 Z3 q$ S3 y" ?; U2 A, \3 Z$ ^5 X
to-report creat-credibility
! A0 M8 Y% i; y) U* u, y; Q. areport n-values people [0.5]
) i0 Y$ z+ N' {6 q) Dend% B" q: q$ G' u& m" u; O6 Q
+ ?( C% i5 y% }: A$ P
to setup-plots" P8 h& {0 O6 O2 x
+ N9 z/ T3 \( T1 I7 I
set xmax 30
, W, g! N8 S, n( o( U. }4 ]6 X. A/ }0 m9 V. n4 w
set ymax 1.04 |! ~9 h- E8 M/ r- Y
# E# B! t; K* {0 T+ ]/ m
clear-all-plots: \; I$ ~. l1 E1 h- u1 D# W- u
, S3 h3 U& c* e; k8 o1 P4 h9 d+ wsetup-plot1
8 m3 s ~- S Q* v0 i) R0 b
/ ^) H+ P! @" s; E8 ^setup-plot2, u; h7 [1 l O& P% K
) t; @, V* W" Z6 r" B9 D- Asetup-plot3
/ I/ A A5 e: [8 qend/ @5 I, K4 m6 Q' P
6 E- L3 a2 \0 v: ?/ y2 u: };;run time procedures* J* n* s6 I$ P, }& p& t! F
1 U# X0 I. P' r3 b3 F
to go0 w; Z T7 _& x
+ Y- C/ o, v, U' d) G8 |' \' _& \ask turtles [do-business]5 u/ j* s% ? O
end+ I' @. P& y$ C& [3 _
0 I. j, A/ {. i7 v+ t
to do-business 1 b/ P! A# @. Q; x0 S
$ b% p* O$ h, ]2 x- o, D& t4 X+ g6 v6 x$ h' Z4 T
rt random 360* |$ e- L: r% A0 {1 c
8 a; ~$ s4 V' k# i: V9 s1 Q- N! ?
fd 12 O, Q8 K" n+ [ R0 ]! V& t
! x2 ]. ~3 I( i9 h; T$ H2 _* O
ifelse(other turtles-here != nobody)[
0 J7 @* t9 h* l% J: P7 O7 ^9 o
/ d( R" b8 g2 ^) W/ W6 ^set customer one-of other turtles-here0 i2 J5 T: G `0 m: U
3 I9 z d3 s. |! c;; set [customer] of customer myself
/ c6 R! Q1 A6 V* p# H# z# z5 n9 O. X: C
set [trade-record-one] of self item (([who] of customer) - 1)2 }4 v% d7 X5 q+ A
[trade-record-all]of self
3 T0 I! @( ?8 G;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
: M6 e& u* t& Y/ X6 M7 A7 G9 Y6 }$ n" T9 p( m0 ]& ^
set [trade-record-one] of customer item (([who] of self) - 1)9 u# \# G m% n: z' J
[trade-record-all]of customer
( f" k) g. N P* e! ]% e0 v1 l/ w3 Y# v) b0 H& g( h8 Z
set [trade-record-one-len] of self length [trade-record-one] of self2 s. `. L( P1 J9 u* ^- \+ o( U
& E$ {: X- J3 Uset trade-record-current( list (timer) (random money-upper-limit))2 h+ m" L+ y+ r& F1 H* Z
* u' w& Z9 r( I& f% Zask self [do-trust]% y1 q4 N( Z# q9 Y: j* ] T
;;先求i对j的信任度! K0 z# F- V7 g
' \5 |; \3 M) x U
if ([trust-ok] of self)( U+ c6 [/ K1 h
;;根据i对j的信任度来决定是否与j进行交易[
( c. A s2 y' {& ~0 {- `. }ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
6 Z/ q7 Y& A9 o1 `+ U
( P" r' h+ p1 B* H[8 p3 Q4 ]7 ~+ Z$ F5 | v9 M
9 ^1 ?' F+ f1 N6 v# z6 A* n* bdo-trade! G+ V/ j1 y) Z2 N* r
8 I' f& f4 n7 u9 x. D- Kupdate-credibility-ijl
; U7 j( G5 m+ z; H9 A* O0 A* t/ l3 k4 M/ A1 q
update-credibility-list; |/ v" W7 |+ B$ x
( {2 R( _1 e; L# f6 s. |: o* h# J, J9 R% R" r5 M
update-global-reputation-list
) U, n/ l, N0 w9 a9 t/ x5 z: B* u0 z
( q$ v" ^' H) J! p$ Lpoll-class% o) }+ u+ s4 w+ ?8 W- K' s, M
( t% m% ]" t) v7 ? N5 z# B
get-color
0 R6 b: A/ N" H/ b3 V0 o4 ]& s& [2 m2 g8 Y4 J0 Z$ ^; a. w) J
]]" ]: w2 K T' O8 ^9 t+ B
4 u6 n: Q% ~, E7 |- I4 x; ]5 x- m" B3 r;;如果所得的信任度满足条件,则进行交易
5 p# @2 z; u' q, O7 L% G/ O
2 R5 `4 b, Q/ g/ k x( }[
7 u( f& p% f; Z( B1 A1 X0 |" z" x& s) G; b
rt random 360
8 g6 M8 `2 D# U9 B& s: Z$ q' b5 B9 Q# l) d
fd 17 U) h& B% s; h( f: j! ]
4 g0 j' P- f/ U, w O
]
8 t5 ?. h1 Y/ {: N- y, U- ~0 F7 ~) J
end
9 b6 j7 e* E4 ^' ?0 k- H2 y: `5 K) Y" \5 Q. \8 a
to do-trust ) s& t6 q& x' S
set trust-ok False3 d! ^5 R# \! ^5 p/ M6 W! h+ I
: m0 _3 D* q9 Q+ s1 t' ~# _
; z% w5 r: ], Plet max-trade-times 0 K7 P4 c: _/ e) G7 v( c
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
8 k( g% V- m N" m3 _8 ~$ Ylet max-trade-money 0: u, d2 r9 Y" w
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]. C6 V7 H7 c( v" I: X+ V
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
- S7 J9 A0 w6 E- s$ N5 i2 e8 E; x0 R; o6 w8 O
* F3 t' j: e" W* z+ Q5 s% n' R7 zget-global-proportion/ E( K- _1 e0 J: p/ ~6 I8 _
let trust-value
8 R, O, d; K2 I2 P6 k$ g/ {9 wlocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
2 `3 Q! b1 y, n( _ Lif(trust-value > trade-trust-value)6 V# A; z- t1 X% t
[set trust-ok true]
4 T7 g: U# p( ?3 oend* @3 P3 W! ]5 d- f, `+ a% `$ M! l
) K( s x9 k8 ~5 m7 ~
to get-global-proportion
/ M' V& _5 L2 I0 U8 ] k5 Difelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
& r0 c$ a! s- s[set global-proportion 0]
" w4 a( }( I Y5 G& x1 |3 i2 ?[let i 0# T8 d/ I% [' e5 p. v( W. k
let sum-money 0
7 C/ u1 t9 x& R3 Xwhile[ i < people]
" H, |: L" N. I; f& R[) {! Y1 ^6 P4 `; H' b8 n3 W( H
if( length (item i
% K# X; U" x! s; W) U( y! b: ^ h/ p[trade-record-all] of customer) > 3 )
9 _1 T. f i# A3 `5 T[
+ l: v( W0 h7 e) V6 e) g, z5 l+ l& v+ Lset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
) U8 c# R8 Z* ?9 X8 `+ R" t]: j( [& x3 B. H% C6 v x8 Y2 k7 C0 l
]8 c) V0 d. H l- h
let j 0. Q' p& x; [& ~* w
let note 0% a4 L1 V* s+ p; M. ]1 F0 s
while[ j < people]
8 D$ [5 c% j2 A8 ~[
1 v7 {; A+ O1 v' {+ S! R8 Dif( length (item i
$ b$ A: W( B: J8 Q/ x% W. z[trade-record-all] of customer) > 3 )- i' e) H" R ^, o5 o+ R! p6 m
[
1 U5 `% Q) [6 e/ S. \. J) zifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
@( z7 A# _. _! ?1 F3 b2 g H[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
5 O- a# H: h; T3 B* ~2 d[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
; y. b2 j+ k1 l' Q( T]
0 X6 O2 H8 H( O3 I]. ]) J4 S) `+ _5 ^4 m" F, H
set global-proportion note
7 W: z: L* Y, f' b1 S! @]
# H, x D$ j! I( n: \end
# A4 n+ @# _! }0 Z- [' Z( J3 P; X
- X" Z( f3 W' |to do-trade
9 y) q) u4 F# E2 l; W8 n% L;;这个过程实际上是给双方作出评价的过程
, q9 ~( T2 f5 w+ A7 Hset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
! M$ p/ `; ?8 ]' m5 M( pset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
0 V/ w% o" f8 [# @2 f4 ]1 ~set trade-record-current lput(timer) trade-record-current
% T+ ~7 x; r! [. k/ Y5 Z;;评价时间/ n- m- [6 Z$ g/ @/ P+ L
ask myself [
+ u0 e; C, a9 Kupdate-local-reputation; ^2 F. ^9 _/ M5 k8 r8 f
set trade-record-current lput([local-reputation] of myself) trade-record-current
7 G# I% G8 `% e0 @1 ^' G& K]
" v" F3 |. b- @% H/ tset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself4 l/ L$ ^9 F. L0 m2 k" I
;;将此次交易的记录加入到trade-record-one中
6 e1 u- `4 y! j, r0 \& yset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)6 t; h$ U: @% m
let note (item 2 trade-record-current )
I+ A+ Q! N7 R, Gset trade-record-current7 [7 w+ Z' K& p7 p
(replace-item 2 trade-record-current (item 3 trade-record-current))
6 W: @" I/ I' R% mset trade-record-current& i5 B: m2 k% c# u
(replace-item 3 trade-record-current note)5 ~& O- r; Z9 c9 [% B! O
) l( K- c, {8 h& k- I$ u% h
, q9 \ Y1 e, z
ask customer [
- p$ }: N3 o, I4 I. Bupdate-local-reputation A! D- [% v0 p2 m1 q' |
set trade-record-current) \; Z' c4 q$ ]7 `
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
# C* Y6 k9 T3 m]
& m# ^+ v4 }7 C. w% A
. N1 f2 I7 X) y, T- D( b$ N' R* M
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer: E1 ~3 n5 Y0 o+ e5 }
: C0 ]8 ~% U0 D
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))0 V% c" V, C5 w) n, M- {
;;将此次交易的记录加入到customer的trade-record-all中
* c" l' l5 V7 k. y! E( l! oend6 }. ?2 _* _. J4 C5 k. L K
/ N, U1 b7 W$ k+ Y2 U
to update-local-reputation! e* R, Y: ]& t! }
set [trade-record-one-len] of myself length [trade-record-one] of myself2 T8 r5 O) ^$ V
) ?& Y0 L' |' p& s& W2 S( ^1 q, p1 v4 S9 ^/ D
;;if [trade-record-one-len] of myself > 3
) X4 F' `! B6 B' O9 T; _0 E/ r% Eupdate-neighbor-total
) K9 K( d# ~7 u7 z/ _;;更新邻居节点的数目,在此进行5 {2 n' \% J; N# W& o
let i 31 s4 W0 ?& u9 r
let sum-time 0% u9 A$ h* }) U4 d! g# F* u+ E* r
while[i < [trade-record-one-len] of myself]& Z2 c$ M; m: l9 i8 i! e- R2 }
[
- [! ]9 v3 d/ O" _: F8 R; Aset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
2 D" `. g4 {0 D3 u5 sset i! q. ~+ M5 D2 c5 c% b2 W
( i + 1)
% i; p" u! D/ V2 x1 y]% O4 J) Y$ E6 |# Y- ~) w, v
let j 3
8 k; S a, F0 O8 I, Q/ olet sum-money 0) u+ \7 s( k" K( r3 U- d
while[j < [trade-record-one-len] of myself]$ B& \- `. I4 n' m
[
5 K: _+ N: |0 v6 Q% E5 L1 m" qset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)0 |5 e; a: W) f3 p9 p \; o
set j& b: u g$ Z j: Z+ Z7 O% f
( j + 1): R) U; p5 Y% S2 p5 P% p
]! {& a8 l% z$ g9 p. U: m- O+ I4 c
let k 3
: s3 U! I+ c: glet power 0
; _: C0 o0 A5 ~) Alet local 00 ?' O/ _; }0 U) }5 ?' D
while [k <[trade-record-one-len] of myself]2 H" G Q# i& v" }6 k$ h# F) k
[4 M* ~" T; o! ], n: M
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) 1 a6 `8 x8 P2 V+ U: H3 T
set k (k + 1)
2 d) ~1 f) _& f8 U]9 Z0 F# a& M& z, d% S+ U2 f
set [local-reputation] of myself (local)
% M+ i0 Q, d" c; n4 Y3 ]end
0 i2 B) m/ P/ ^( B2 A' X+ c, G& n; A" R6 ]4 v* @/ J
to update-neighbor-total
! l" R H5 B: F3 H6 J' T' r
4 I- N: I6 X# M/ }9 @if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]9 _8 q# R5 ^6 d4 E4 R7 J* R8 }
# P( Y. g, S; C5 j$ f; [6 [& y3 ]+ |+ a
end7 A4 h% C! c" O0 M0 e
) r. E6 P+ k$ r, I' ]# Lto update-credibility-ijl
: p8 d* f/ v: U8 t
: S; ^) D" o |: U/ {$ X;;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。) s7 N; f x' @- ]3 b7 q
let l 0
9 v0 l: Q( C& s% `0 D2 ywhile[ l < people ]0 O7 h0 b! w9 O+ q) ~ s
;;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5 Q4 C( m# L& T+ B' N2 e
[8 @# X6 P2 a) j: E, Q
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)7 E! P+ Y- `: O) Q
if (trade-record-one-j-l-len > 3)
3 G' P+ U1 R5 O[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. c: c% V+ `" R9 C
let i 3
" U8 W4 K4 q1 O& v. B; xlet sum-time 0
7 S% y& u( U2 F$ g4 g0 Wwhile[i < trade-record-one-len]
5 @1 J% y3 s8 M5 [: a4 F: l5 i! y[
) G+ K9 P* @: J/ r# S% @) pset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
, f, m; c% Q/ ]* W8 eset i# s' Q) R: q1 S0 i0 D; h( Y
( i + 1)
/ {; F ]. O$ h' p( B/ p. B3 q] W) p) Z5 \ k) N' E( I# z
let credibility-i-j-l 0) c; H. V! o' i! o# h: ^
;;i评价(j对jl的评价)
* l* b, V, G* ?/ ^: Jlet j 3
7 s% V5 d5 s4 S1 ^let k 4% C( @* B& f& K1 G4 I2 u9 [
while[j < trade-record-one-len]# z$ v$ [& g1 o. J0 O3 A9 T
[
( Y( q" z$ Y k; n. h4 ?0 I; w2 q$ Cwhile [((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 D8 F' J8 [; d% v A& @! n
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)8 y! S' D! F" j
set j
% B5 G, s5 `2 i) c& g X( j + 1)
6 g6 p. C# D9 ~ w+ z4 H# R]. ^' }, m; L1 w- z
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 ))# r9 B0 L: p$ U7 H, J V8 W3 S: w
1 j. _/ V5 h4 B
/ j7 l3 s3 }6 ?( f, V ^let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
3 @9 ~8 O+ g+ K;;及时更新i对l的评价质量的评价
( e3 e8 i6 D' a& ?9 E! nset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]3 A( F" w' u! `: y5 x' V( \
set l (l + 1)& g2 `0 V5 d7 ^
]# Q/ y, U7 z- s, ~, s, j9 c8 J
end
7 L5 i4 h: `3 O- F/ u9 C/ D# i! k. J$ C6 J s, m" I
to update-credibility-list! b E0 O4 H7 V; `
let i 06 m( V, K+ U+ |! V9 \+ V2 f t/ ]( B
while[i < people] X( L( o$ q& V. D" X* ]" R
[4 r* A! U% x8 N. i6 m
let j 0) @: a& }' L7 E/ _4 T9 p
let note 0
! q; Y4 |( n) N: y4 ?let k 0: [8 I) R3 i0 C. E) v
;;计作出过评价的邻居节点的数目
, E1 V$ Y" @1 Z, i+ e$ Kwhile[j < people]
% |, |, y' h4 O. w[
+ V, R: v, e2 d+ @$ zif (item j( [credibility] of turtle (i + 1)) != -1)9 p& ~% a# e0 X* r4 p
;;判断是否给本turtle的评价质量做出过评价的节点
! @% M" Y' x L5 |[set note (note + item j ([credibility]of turtle (i + 1)))9 W3 O: n/ s$ `; ?
;;*(exp (-(people - 2)))/(people - 2))]" b$ ~4 s- }0 _! z
set k (k + 1)
$ X; d# r1 w0 p6 x]
. ?& b& C. b! z/ d I8 X( c$ } V: C& Wset j (j + 1)' G( E+ }& z! d* B, t6 p, _+ v
]1 `, L% R8 n" V2 `0 e: D
set note (note *(exp (- (1 / k)))/ k)
1 |; ^* M2 l& R/ C& t; Zset credibility-list (replace-item i credibility-list note)
5 Z9 }6 ~& n- F: j y% e% l7 P* Wset i (i + 1)5 V+ u1 h$ J- q
] J3 m- M" s+ |6 r, V
end
; m" x, O0 @- L( q$ o0 m+ u" P1 \6 N& [& v5 a; Q
to update-global-reputation-list* I5 f+ F4 I7 M
let j 0' Z, W5 c$ M6 ?, g* k
while[j < people]- K$ r% G0 o' S1 t
[6 L5 J8 Z3 K: n4 U5 m
let new 0/ g! W6 `5 H; i ^
;;暂存新的一个全局声誉& b. }9 s* r, D) s* {& n
let i 05 @5 h/ [7 t4 U* j) B: v1 w8 j4 a
let sum-money 0
3 ~6 Y: d) j+ [1 plet credibility-money 08 M, s3 l# z( E8 W0 k0 S3 m
while [i < people]1 D0 X7 n* G B8 N' P1 G
[$ b% B* ?9 j+ J& k4 a, Y. e
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))7 x% @1 q! q1 x6 @$ _: q% f
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
+ K: ~' `/ v/ X+ ~9 Pset i (i + 1)
) \+ F6 p" u7 e# O. w]
) `7 T+ B- ]1 |/ s# ]0 S* {let k 04 W- l3 C+ r- u& k8 ?
let new1 0/ Z& K+ l: ]) ^: a
while [k < people]
+ l F+ F8 S0 f% G) J' F0 i[
* Z, h! \# ^3 T% @8 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)
5 e& h% q: s/ R0 x# |& Q( E9 |set k (k + 1)/ L N* z! @9 W6 b
]
/ T5 v9 ?0 R' tset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
( t( y$ y2 c2 U; hset global-reputation-list (replace-item j global-reputation-list new)! a0 r5 K9 Y O% A; |
set j (j + 1) W. h: `* F( x9 F5 t9 D1 E/ Q
]2 K' Y, X9 |1 b; h
end
5 F, D. G; {" g, V" M4 e j
7 s; M0 h3 j9 D! a: ?" Z) H( |/ n# w' ]. U% R
& i7 x5 h* s! u( i+ q8 Q. G! h
to get-color9 S6 j8 G# F/ K
9 G ^) C! U. V. g* fset color blue
5 P# w3 k5 Q, u7 d/ Eend7 _: w6 u5 p7 o# S) r7 g* `
+ @5 i- ^0 \2 ~4 ~1 c7 g9 yto poll-class3 c% O/ |8 V3 \! s* l5 o
end
" Y( r# A! q6 s1 J! @7 \
5 T9 [ o$ A. ^3 D5 ?/ }to setup-plot10 I. {1 k. O+ @# j6 t( C8 |- i
* Z- `4 g# W" C7 }9 B: K
set-current-plot "Trends-of-Local-reputation"0 a2 `* c# @: K6 Z o( Z
2 j+ E, K# C+ [
set-plot-x-range 0 xmax
# {, m+ N1 m2 ?& B/ H \: a
' z8 m' p. f9 Q" _set-plot-y-range 0.0 ymax
. J4 {" z6 Q% x ~7 A5 m2 Gend
! ~* y3 [8 ], M1 {- z
- {/ \, n( k/ D$ {2 d, H! uto setup-plot2: ]0 d" X: w+ W$ h0 ~; G
$ @- ^! u" l+ w' l2 G
set-current-plot "Trends-of-global-reputation"3 R. a5 y/ c& l! j x* B. U& T
$ {5 a, A2 u# [set-plot-x-range 0 xmax; f j n5 C8 Q& ^( y
/ g8 L1 o/ ^) M Rset-plot-y-range 0.0 ymax' X7 ^' b0 g" f( M' l9 G7 h( Q p" N
end/ F- F5 e: |; D9 l* p
* Z5 Z: X& D4 g
to setup-plot3
9 B4 I8 e$ s: g( |& G
- @, Y6 p* `7 v2 R5 C( ~, rset-current-plot "Trends-of-credibility" A7 R6 [6 P2 K' v- x
u3 c4 y& @* e$ U/ f
set-plot-x-range 0 xmax
7 Z; ~& L# [& t0 A0 ~* f% ~
* U$ A+ M% z' Uset-plot-y-range 0.0 ymax
2 l. b1 S7 @# A5 ~( x4 J" H' nend
2 ] R! P8 v( P2 ]9 z) i( d7 p
) b: A5 Q! O! j' V U% i8 ~to do-plots4 {) j5 [' Z& P! V
set-current-plot "Trends-of-Local-reputation"
. V" T6 w( B/ C* Sset-current-plot-pen "Honest service". J" I3 y4 ?. f! |8 e
end Z+ B" p; Y- m# M5 w4 m, M6 s; |
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[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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