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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) N) e0 \& F) p, [! {9 V3 D7 G
globals[+ P# @0 |2 }' U2 J. B1 Z% d
xmax
" x0 J; H8 ^$ t5 k2 Gymax/ d$ r% L9 }- `3 n, H
global-reputation-list
% U9 j' m3 i7 l* G. Q9 i9 x, e. x. y8 `0 ]
;;每一个turtle的全局声誉都存在此LIST中4 q F# }2 F) F
credibility-list6 Z5 K; [, |% }# u
;;每一个turtle的评价可信度, N/ X- J4 l- U) G5 I
honest-service
$ j' g# X: r1 Yunhonest-service
% G5 K# M# E) w8 q- S3 s( P, ?oscillation% F/ @; b9 b$ q! d
rand-dynamic. W; S. F( |! M. e1 ]" e
]
* @, }# a6 n) m! W1 @" i. q! N+ r+ X# Z4 q
turtles-own[
# x) \; c* Q7 s' I$ j4 z6 k' vtrade-record-all
5 U+ y& Z% a) i- B# O! \8 P- A;;a list of lists,由trade-record-one组成* N; X9 _# y2 x1 o, G/ }- R, y
trade-record-one7 }. V+ a; x# F$ X
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录' N3 w% O/ {' [, O, K0 |8 k- l
; Z' ]4 L5 a4 n;;[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]]! i* B; p3 y4 N" N+ T
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]$ \0 N. B/ n3 O# \ p
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list5 ^, \ \0 U( o$ | ]2 O1 G
neighbor-total
) M4 t" T# l- O;;记录该turtle的邻居节点的数目$ ?) a! p0 |7 A* V( {7 j8 U
trade-time
) g- d% t1 Y4 H3 B8 w;;当前发生交易的turtle的交易时间
) y' i0 C5 k3 q1 a* n$ Iappraise-give
3 A4 r) o. E! P- U" n;;当前发生交易时给出的评价4 t3 d2 F s5 G3 O) J1 q. N
appraise-receive
9 H* v, R% }2 {7 ?' W;;当前发生交易时收到的评价& ^. [$ G' m+ a2 C) _. P
appraise-time h( }# F9 u2 q0 A8 U
;;当前发生交易时的评价时间, R, g! `; U5 ^
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
& W1 U; Z- R$ V* Utrade-times-total, E7 J2 [# ^! U) a6 V
;;与当前turtle的交易总次数( e2 _' p! s5 Y, }4 ~7 p
trade-money-total6 T6 ]. P' l! ~4 O
;;与当前turtle的交易总金额( R# ?- \) a! J* N5 B1 U
local-reputation
$ M; n4 {0 P3 i/ L9 c) Oglobal-reputation
- i7 S Z( b1 ~- o; icredibility
, _2 J& p8 N1 K5 y& z- ?7 k& {;;评价可信度,每次交易后都需要更新
3 c; _' B/ \& \credibility-all m* B% X$ Q7 J% l
;;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. z6 k2 a. Z% F
7 L0 E2 {; S; r/ \$ ]5 K;;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' _: S3 A/ p* o. p$ C6 x
credibility-one8 {% t/ f3 L' v9 }6 g
;;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/ w5 T8 Q3 g$ v; C
global-proportion% N; k7 s) G- j5 n M3 O" L
customer7 ^3 F) p, `* F$ G1 S9 R
customer-no
; ^5 i1 e* r/ g8 u& h, ttrust-ok
5 a$ M+ @3 \: M: L" Dtrade-record-one-len;;trade-record-one的长度
$ j( m( T- v# h4 x* ^+ K, V]
9 E* {( L: m3 A. c7 | I/ _
" J3 U2 e: _5 p+ ~# P2 X* `;;setup procedure4 g4 N7 f. R% _* q; r! d% j$ M/ n8 a. K
! s0 G9 g: y4 l# |3 Fto setup
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ca3 w1 U9 I) J6 O% z7 q5 i
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initialize-settings
4 l K* g( h+ \; ~6 u7 X T/ o2 s9 q, _
crt people [setup-turtles]
7 }% x- D% Y. Y8 z: {# ?" N+ D3 K/ l3 H) ~; l
reset-timer: W$ f. T9 D' C9 p8 b* I
: W( E3 O/ p/ n
poll-class
- u) v0 [7 \/ R6 q+ j5 _ K8 H7 n' o; s4 l7 B) R7 ]
setup-plots
6 r2 F$ x0 L; Q+ G
& y1 k9 Z' b8 _; Udo-plots1 O3 E' ]9 R6 P3 X
end
& y; M% x& i" M
/ S: b7 A) `+ Z' |* C8 U2 U5 I- sto initialize-settings
- U+ q5 X. L: Q M, R% H
9 K) B2 O( L% l J: I, Uset global-reputation-list []
# L+ ?! J% f" o# \! q0 `5 U; N' X
& R! K2 ^% s- cset credibility-list n-values people [0.5]- {) F1 ?7 D& |) o2 E
; V; Y8 u$ b, D4 kset honest-service 0
1 I4 \. N, {, X
: d2 h" E6 {' p$ C, u5 ~set unhonest-service 0/ o, K( @# J, v" S! B( C7 g
' @" m0 ^; H( A2 N& @. r- j$ [
set oscillation 00 G+ t c* M) f: K
$ J" v' R8 L1 Q- D1 ~: fset rand-dynamic 0: L7 k' K. J' c4 M
end
5 L, i# a' o A, Q0 y% d% K* @5 S5 l9 _! D* z( J1 `. x" L
to setup-turtles
; u9 T8 y% D! ~9 h+ X7 a4 t, Oset shape "person"
: g; G3 F- M0 c" Csetxy random-xcor random-ycor
4 q6 P" J& J6 tset trade-record-one []" v; T u% @1 J+ s4 a3 r' ~
# p. B j% D8 k7 _5 `" [1 g
set trade-record-all n-values people [(list (? + 1) 0 0)]
V7 S* y( c$ K& `/ f5 O' M
8 ?& d& L0 N5 L3 M& ^+ Z1 Q: sset trade-record-current []- k3 A/ y' a$ B5 B
set credibility-receive []* l: q, W( {, Y% H& S/ u% G
set local-reputation 0.5
5 C! s8 z! ~& ]6 A7 M/ v; Vset neighbor-total 0( q7 n! X* g. i6 w5 c9 @
set trade-times-total 07 k2 A2 c! X* o9 |8 u) ?9 G
set trade-money-total 0
. P% `! `3 a' n: e% y( }9 Qset customer nobody
: c: }1 k9 Z+ Yset credibility-all n-values people [creat-credibility]
1 _2 k- R* D0 Q# b7 k/ F' F6 Tset credibility n-values people [-1]/ w: X' s. c; @$ Z1 O4 ]0 O! i. A
get-color, a1 M" J* g/ ]: J
7 k) g6 O4 q* yend
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) ~2 W% ?3 x/ j$ X9 r9 @0 ]9 qto-report creat-credibility, g. O5 p( C& {% z9 `. K( V( G
report n-values people [0.5]
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# c! ^. G; F4 C- d0 u b+ o, k0 ^
to setup-plots8 f+ s. v: ]& [6 b F
5 Q% O5 n; I" x- t* L; s9 Sset xmax 30/ d& \3 V; Y/ K( D
- R$ U- p Q( V. C
set ymax 1.0/ j8 |* W% H5 n) C/ n L6 D
* q: T5 i; p1 y4 D* E" ]
clear-all-plots C0 K8 E, ]/ U4 M; P# \/ y
9 x/ ~# J# f4 s' ~2 Hsetup-plot1
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9 ?: |3 v6 v" [) hsetup-plot2
# h' n+ h8 S$ m1 @3 l+ _/ v
4 ~, `- B& W$ {& V; ]4 Psetup-plot36 j q- {( j' S0 K. [. n
end ~& }1 I. [0 f4 V( v
) ^* }9 M& y% J K, v;;run time procedures5 s! W5 u# N4 N
7 d6 Q" t8 n$ k$ I# `, s
to go
2 \: W. ]1 r+ _& \4 [; X; s* q" e( X* h3 h3 `, D
ask turtles [do-business]9 C& D/ G4 F. K9 j. i; n
end
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to do-business
$ l$ B% Q" I2 g4 C' g, V% D$ n' _* }0 n/ X- k* P3 ~/ w
0 G4 l# x* M$ L
rt random 3604 o( \; w% M v' \
3 ?1 w7 G" @% m/ P# k" c
fd 1+ b$ g8 M# O3 \4 W" y
, O- p0 @1 ~( N2 [7 S; r: O
ifelse(other turtles-here != nobody)[
5 L* h) ^/ i5 ^! V4 A: m! }/ U8 Y% O; ^
set customer one-of other turtles-here
+ [( M3 e% o) Q# E$ s* w7 I- i* J% M1 a$ R6 D
;; set [customer] of customer myself
7 q, u4 G3 x' a7 K8 q, F0 k7 F7 k! E, w; [' s5 ^# B* X/ d
set [trade-record-one] of self item (([who] of customer) - 1)
9 V- o/ V# ^- M5 M& O6 K[trade-record-all]of self
' N, w( B( [; g! ~* Z5 b8 P$ S( ?;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self" Y8 J# I/ |+ P0 A. U
% @5 E3 R" { ^7 V+ p
set [trade-record-one] of customer item (([who] of self) - 1)
2 j* y( N+ o/ |/ m8 G: N: o; b7 Y[trade-record-all]of customer. h6 C& k; h+ }! k
' C& o3 |1 J) V8 o4 ^. H3 z1 w% |7 {set [trade-record-one-len] of self length [trade-record-one] of self! d( i4 h* A, t. q1 k% ~
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set trade-record-current( list (timer) (random money-upper-limit))
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0 Q7 M$ t0 G) y9 M- A8 Kask self [do-trust]
( T4 N) P+ p3 ^/ a6 y; c6 B' @;;先求i对j的信任度
o) G \* T6 _' _* d$ r+ \' u1 V5 [/ _
if ([trust-ok] of self)
: R5 W! V1 N6 F;;根据i对j的信任度来决定是否与j进行交易[
* V/ _& O; W$ }0 hask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
( a5 l2 ~( k8 D1 X2 K. t
+ {" Y2 s6 p# q9 G7 C' v[3 q# x. C7 C: t* h. Q
8 n k. A/ W$ d7 P( Kdo-trade
- b7 \2 {6 ^; C+ l9 w- c/ [. I" U+ Z+ M0 H; ]) m. l
update-credibility-ijl
: F% ^$ Q; K" e5 L: L" @3 J; Q( O% q1 q' z& e# m- Y9 P P; [
update-credibility-list3 j$ s) \% W) h# x
: l9 v+ A7 ^/ p0 g# V% U: H8 q
" ]* ^# e9 I1 ]* \( qupdate-global-reputation-list
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poll-class
2 e |) G! c/ }. V) z" D* ]5 f" H! ^+ \
get-color( b8 n! E- }2 J2 t, @# Z
+ Z3 t! v: c2 ^) w: K: E# F2 P4 K
]]
" D; F( d; W' X( \2 N2 A4 y
( K" u+ N# r* t' [9 k/ V;;如果所得的信任度满足条件,则进行交易: `" e8 B. ^6 B l# x) x- F+ W3 G
* R- q, b0 ~, i( @) J8 C2 v[/ _, Y0 A' ]9 ?: |
3 g. p6 ]( a- @( L. I" Z c
rt random 360
9 @0 h5 X) V* H& k
) b% N2 J3 M! `fd 1
- v' D) ^2 [' G4 T
0 `6 [0 Z" L" r2 }0 Y]
+ V4 [! @! n! A3 q0 D( Q# p" {0 B4 \* w& s+ `8 j+ j: G! F7 N
end0 v: K$ B+ H6 L3 n* D
K; W2 j0 p; K( Zto do-trust L g& r1 f$ Y; R5 W4 _) D0 }
set trust-ok False2 e& r! Y3 O& ^! R: m3 e) @
2 N0 a8 A' ^( ]9 V5 S4 h( A' s# s. t7 h1 ^1 l
let max-trade-times 05 J' N) q" H7 \3 @; U
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]; g# e- g8 }2 i6 {. {
let max-trade-money 01 H% y. |9 d5 y& I* G6 h0 {/ v0 d+ f
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]( j+ k" q& X; [* ^/ ]3 L
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))/ P, A, A+ X2 t7 ~
7 o& F( e8 ]$ F! R
& C6 }+ a3 m ?: o8 W5 V0 `get-global-proportion( P$ S: q7 F s0 |4 X& a1 {6 B
let trust-value
, v& I8 z U1 o. ~% E) Jlocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
' l7 c, V; ^, ?% p& p( zif(trust-value > trade-trust-value)
4 K* D& X0 @5 D2 S9 E) Y5 n. |[set trust-ok true] h- V) P8 ^" r: J( u& p- ^8 t) N8 o
end l# D$ t B) b8 X
, J0 n$ \$ |$ k% _7 Z
to get-global-proportion
8 H7 X5 Y, Y! J; h6 p- Mifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)2 ~+ Z/ Q2 F6 B+ T
[set global-proportion 0]
* l" R% c/ x9 |( J; ]) A[let i 0
' R( `; k: C) Zlet sum-money 0
0 h, I$ d3 j; _( j) R' Xwhile[ i < people]
3 t# r! G/ C7 h2 P[% Q4 t' K3 Y9 K( s( h5 q1 \5 C
if( length (item i
; W3 n1 h$ h# H* T$ L[trade-record-all] of customer) > 3 ), b% G7 A' ?- M' h5 U* [
[
1 W3 G$ x y% e6 sset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
5 [; O3 ~' d' {% C( n: p3 _% O]8 @5 f0 `! A1 x/ u/ y4 Y
]
2 y! y8 x* `0 |7 t$ d8 {let j 0
5 ~5 U2 \ Y& o) jlet note 0
; _7 ^/ L) q& p* [4 H4 Xwhile[ j < people]/ g4 R! p U* d+ ^! K5 U0 _
[3 L( ^% d% ]! C3 _/ h7 S9 y; Q# a a) e
if( length (item i. z5 w) ~$ i5 l* k
[trade-record-all] of customer) > 3 )5 [. L2 }! x& z" l0 T5 A
[' m5 W$ J5 r5 m! S
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1) O1 p+ A) F# z. R8 ~
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]6 v0 @, K3 W5 C @
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]2 N: \. Q ?! h9 w' g
]; C! ]0 i1 Q9 a( Z! c7 [
]% }3 A$ I, Y$ L/ Q
set global-proportion note
. _! d; p% r2 X4 N1 l# j: m; t. g* L]
2 H- r8 ~3 Z! R8 f4 D; Cend
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to do-trade
! k: Q F* }9 B, M+ };;这个过程实际上是给双方作出评价的过程0 b, |' j. @* @0 V
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
1 S* A- v# s6 @8 [/ J g. \3 D( g Hset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价 ^! |+ h5 B- ]
set trade-record-current lput(timer) trade-record-current/ c7 K+ x9 f0 |5 h
;;评价时间4 ~: J$ T* U* h% e& P( ?, _
ask myself [
1 s* l+ J, W& T; ~$ m) ]update-local-reputation
# Q2 j) G) F. _( h( nset trade-record-current lput([local-reputation] of myself) trade-record-current
) F4 w R! u6 w- I]
% a9 X$ T4 V3 E- _" nset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
# ~) B! W+ P8 o/ }, E$ [ [;;将此次交易的记录加入到trade-record-one中
( ]/ ~ A% }( Y5 h0 R: P) j- Hset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)7 ?; ?% T$ \0 j
let note (item 2 trade-record-current )
/ y4 o6 D: u- M9 E! A1 [set trade-record-current
) F% r# [ W: t; f) E7 V(replace-item 2 trade-record-current (item 3 trade-record-current))% T# Q- H' x8 R5 A, C) Y" h
set trade-record-current
7 O( [) N- S( U& ?6 B7 u# G2 l(replace-item 3 trade-record-current note)
* _7 X# U$ H5 }, |3 l0 b- P9 m! }! r' Z! V! _+ Q* u
' }; N; s! i6 q
ask customer [
; E1 Y3 Q k% fupdate-local-reputation( e- H. j" i9 x( i# R% p0 _$ J
set trade-record-current* Y# d% r$ T: R3 X
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
# N5 k" Q/ G& k& Z* n' K4 b]3 z3 n7 f! c, P
1 X" J" O; [- x+ Z/ a5 z
3 R1 B6 S- p7 m3 c' Rset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer6 X1 R: x2 i3 |( H/ J' [8 @
1 l y3 z$ @2 vset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
4 S+ M% P+ N: K4 O" i3 N' g5 Y;;将此次交易的记录加入到customer的trade-record-all中6 H' s- ?3 P. w0 E h- M# l, e
end
# ?% N( K. B3 x6 i5 D) l" Q2 R- ^$ P( @) B- \# i
to update-local-reputation
7 O) I Y4 f3 k) @8 wset [trade-record-one-len] of myself length [trade-record-one] of myself; V0 f9 q( d( R( Q4 C; `
% U0 h/ i! i& w7 b1 X
$ v( k- N0 _8 W, x9 J
;;if [trade-record-one-len] of myself > 3
+ ^1 L5 f* I9 d/ ~+ qupdate-neighbor-total
( [/ S" i2 D: h6 @;;更新邻居节点的数目,在此进行8 x4 P9 q: s, `5 q! O& l z4 m& v/ G
let i 3
4 x8 L) V+ z9 s0 ~! ?( D4 [let sum-time 0
# ~1 R3 `+ a; t, D5 O* Cwhile[i < [trade-record-one-len] of myself]
, ?, k+ d8 W& l9 U0 F( y# l9 t[2 R! H0 g1 \/ ^) O1 r
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )3 ^4 b3 P: E; F
set i
0 _; ]( `; [9 J# Y4 q: B- l( i + 1)
6 d6 D4 @! K+ y( s% {% I]
- C" [, T6 O1 X" ?; Nlet j 3
; L) K+ b: g' g6 }9 X. P) C1 Slet sum-money 0
0 s" A+ a$ b# K4 a( Gwhile[j < [trade-record-one-len] of myself]
; Q3 X$ g! A7 Y, y[3 A! I7 R7 d8 v& f5 e
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)
]7 U, l1 ^/ G. ]1 T% r+ ^' [set j8 B8 U) J0 ?( N. j3 l& B
( j + 1)1 n9 i5 E4 }- {% c, t
]# c! w p; g4 f, j. W3 @- Q4 S/ ]% T9 Y
let k 3& A( X6 n$ O* B1 n7 P0 z$ x
let power 0
( k' l# ~+ h5 r# K# w4 P' l5 rlet local 0! c* I2 m- }: }2 @
while [k <[trade-record-one-len] of myself]
B" g/ A9 ]; }6 `- j N) A[
0 w9 R1 @; x( x+ jset 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)
" ?4 \3 J7 H% v4 n5 uset k (k + 1)& q4 e H* g% B
]" Q' Q% C. j# j& F' L9 @, |- Y& s
set [local-reputation] of myself (local) l9 B/ I+ s% Q2 a8 d D+ Q
end
/ {& [$ s+ o, S9 t3 F
' Z6 K$ d% N7 p( J( q8 L; k; jto update-neighbor-total1 J1 s: ?- }- i" h
. E% Y$ u3 H# Q4 [# bif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
" Q9 R- S) l) a1 y9 j% e( h* S) a0 q2 j8 q; R
' l' v Z7 z) c5 w5 B$ @end
, g( _4 h, V8 }0 c% `
/ n4 Q1 I) @, T9 }9 {to update-credibility-ijl 2 b% x3 _# ^/ [: p( d7 C6 b' P
2 |+ Q3 r, p$ y6 Q8 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。2 x' E4 g6 h7 u
let l 06 \/ E* w' N7 B
while[ l < people ]- p7 \2 A# w; F5 d. S4 C! D, O1 w6 w
;;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
0 {( r! J. Q( {1 C3 H6 \[( J+ G [9 V& {- F2 [
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
) L" `0 ~: r o w7 J/ v6 [/ gif (trade-record-one-j-l-len > 3)( W% U: l/ I5 N" I. Y6 C
[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' N0 M# o- G, A7 X; u
let i 3
9 A6 d J& t W1 slet sum-time 09 g3 v( n r. ^' f3 ^# K' L1 S
while[i < trade-record-one-len]) v. ]! f9 R2 m$ q0 q
[% x! J" L" K+ j: {
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )0 c- l) n Z6 l% v3 n9 W
set i/ x% z! t) R0 Y% r6 i' g
( i + 1)
" f/ A6 I) F2 Q) w6 D$ ]6 E]
( Q8 p! ?, p4 \) K% P" Y; Rlet credibility-i-j-l 0
! C2 h$ `+ w+ W;;i评价(j对jl的评价)$ i6 `: B2 Z" n7 h+ X4 I4 Q" |
let j 37 {: _4 I3 u& g1 T v( E% y9 g2 c& s
let k 4
) C5 ?$ u3 S" P3 z7 I, @while[j < trade-record-one-len] _! x6 Z0 B. A0 A0 K; N* c- P
[- n, c* y; J% \6 O$ A1 i# D
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
6 o" F Z) {4 H/ I$ l# c# z7 N& Eset 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)4 c. A: F$ Y4 c2 r6 Q, @8 i" ~
set j& x- E( w0 S6 m4 N4 l
( j + 1)
' ]! t: h0 ~1 g% C- ~% e4 W]$ K9 u9 G& h! n: i+ }
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 ))+ K' V4 d0 G) c" c/ U) k1 d
/ k: K4 b4 d+ J( c3 |+ d; ~" _
: i, V$ }. Q/ b) ]: r9 P. x$ x" vlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
: ]8 L4 \" X9 O4 F. I;;及时更新i对l的评价质量的评价
. a1 v( B1 ~! pset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ] Z2 A G6 F4 |' }) O! J6 F; g
set l (l + 1)
1 T; }0 ~- [% [; z] p6 {) c0 l5 O5 ?" z/ r& C
end
1 A8 O5 k( ^7 T1 W q" i# {5 L, v% g* H6 i6 ^9 j, U* Z! B! A C
to update-credibility-list3 Q! n2 [ {0 C# d! y# p( n
let i 0
3 N3 X" I: {' U$ a- k% u% \: B' Swhile[i < people]1 u3 C% B! g& Z! O
[
+ k+ r5 [) ]/ h/ L8 }7 Hlet j 0
1 q, y+ K' D- F- Elet note 0$ G, o5 I6 {# a, u" W% H
let k 0
: L' b8 ~) _) q7 w. ?4 O;;计作出过评价的邻居节点的数目5 ?3 g( ~. d# j4 `& U- Y3 O' z
while[j < people]
# F- `5 R: w) L5 j$ b[3 Q$ l# p C8 }: Z0 y
if (item j( [credibility] of turtle (i + 1)) != -1)
! N! R: |5 F& J$ J;;判断是否给本turtle的评价质量做出过评价的节点
! T; @! l& [) f3 L' ~; X8 M[set note (note + item j ([credibility]of turtle (i + 1)))
9 ~# s3 ]1 i7 Q;;*(exp (-(people - 2)))/(people - 2))]7 z& b& F* z3 x: b0 C- H
set k (k + 1)" b8 v! S3 T! r# w3 L
]$ t# h0 O1 J. m5 C2 {( T, b* h
set j (j + 1)
! C3 x2 C4 g# ^( x]) }( e4 A0 X+ E. S, h+ a+ c
set note (note *(exp (- (1 / k)))/ k)3 Q- D# q. l& }
set credibility-list (replace-item i credibility-list note)7 J# L9 Q7 X- H9 e8 i, ?. L" y- X( x; P
set i (i + 1), I+ o; q$ p" s2 |: D$ n( Z
]) [( c% E* F; s% }( ~0 c
end+ H" D p# O* y6 E7 z$ c& N5 }
: w1 _) J# J- o6 z
to update-global-reputation-list
0 R4 s! B& x3 c' Q) z! \let j 0
1 E+ j. |# x- ]5 F6 u$ O6 X. lwhile[j < people]" t2 x0 u- ^3 Z" z% [. C+ T
[4 t% r6 D3 d9 c
let new 0. Z3 F. x, l1 i. M7 X% v. ^
;;暂存新的一个全局声誉6 ^( ~5 X: m: b8 N. ~% @7 ?
let i 0
; {9 {# F0 G+ S( G4 I8 ]+ hlet sum-money 03 S: `" ], I0 J# V
let credibility-money 0
5 e7 [6 y4 `; e* M) i. U T- Y* iwhile [i < people]+ h* p& J3 g& s2 Y6 k4 z
[: K% x+ \: M' B0 ^0 B
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))' S7 @$ E$ f+ p) ^; X
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
. E* M1 n! S- Y( t; @set i (i + 1)
9 k5 {8 ~4 W% P6 N, z9 w7 B]
1 u) _. D( _- A4 L# C% u% Tlet k 0
! U9 I! U% f0 M1 Q/ [/ \let new1 00 p5 L8 J/ b7 x3 a S7 ?) a
while [k < people]
( s+ m, M4 E7 P; g0 L/ _! v[- B- o* v; C4 U5 d7 O# d( p4 c( W
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)
7 I! |; O" ~' q' i& G: zset k (k + 1)
; p$ ~2 x7 d+ Y2 R]
1 A3 b, R' }; ?- y' sset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) . M( d9 J% D6 @; h& V
set global-reputation-list (replace-item j global-reputation-list new)/ }- x" |7 V9 J+ p3 `1 q3 A+ c
set j (j + 1)3 P% O- Y4 G' q% h; O
]( H5 q- n) U: m$ `
end
- k4 K2 K9 i* D! I. P3 Y0 ]
* z$ \0 }/ i3 v" e3 t0 K
1 \" ~6 f: |& r' C2 f, r
& {2 w" D8 Y& D; }9 nto get-color0 e' u! v3 F! N) E# W7 g4 b" ?
6 d) b/ k# p7 E1 r
set color blue8 k# q4 D0 e) z
end
$ U! D" k/ }& P- }
6 f' p( g& \! A& B1 _to poll-class6 b7 l5 {/ s( ?& C' s5 ?0 U5 `
end
9 K* g4 m3 g' c" X3 p# a( L: G0 x/ B8 m- u5 I( G4 y" K; F
to setup-plot1
& ^( b8 S0 z, \2 Y4 c4 N/ E2 O4 S, L
+ g1 M% W7 p& a# t2 Z$ uset-current-plot "Trends-of-Local-reputation"0 ?0 V$ i* y, {5 c4 S* x
# I3 g! H; l5 ^+ y
set-plot-x-range 0 xmax6 R4 R! k' V. U$ T- z3 _
$ g/ V0 Y) b+ N. Pset-plot-y-range 0.0 ymax" C1 b) ]' @# i% I( [3 t0 Q
end
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to setup-plot2% P# W5 R2 X! u9 A
) E2 }4 }) J# i) d- C% \3 cset-current-plot "Trends-of-global-reputation"
5 O/ G% k: P! Y; ~! c! b0 y
: o. `$ j$ P7 h; }set-plot-x-range 0 xmax; F* r% i0 @8 y# z8 @, I
+ J" m: H) ?, _/ [" {
set-plot-y-range 0.0 ymax
% ~7 L( n" K, I0 A$ uend& O4 ]8 b- Q" z3 r
5 ?+ l' K' W$ R8 d6 v4 ^" ]( h9 i
to setup-plot3- Y0 C/ s" F7 O( E
/ \. M8 |3 L$ T( v1 |4 ?. k5 iset-current-plot "Trends-of-credibility"
; ?1 Q4 X7 g! c; N2 V0 c: p% X! k
set-plot-x-range 0 xmax
/ }$ ?8 e, Z/ A/ I$ q
- }& q8 T1 p! S9 Jset-plot-y-range 0.0 ymax/ Y8 I2 }* v" g" n) q- j# g0 t6 r
end
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to do-plots
# I; w/ [% ^" hset-current-plot "Trends-of-Local-reputation"
2 q1 J4 I& F6 x! n: Sset-current-plot-pen "Honest service"- c2 u8 v5 `/ W+ N! h
end# p1 A# ~1 ~* c" e' h$ }4 I/ m
! U) s; t u# x; D' Y5 G[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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