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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# A/ S9 M2 |7 d; x# f9 m
globals[
" H" v& P8 B/ ~: {% s+ mxmax
1 C" R* D9 `5 zymax4 e9 s0 c% S2 Y$ D8 l7 Y+ y
global-reputation-list
! j. I9 M* f2 p( ^# `
" c0 U: G0 k# [# U; x' v;;每一个turtle的全局声誉都存在此LIST中/ s. ^: [" e T8 n) J
credibility-list- v* o0 J- J$ O) {+ O0 @
;;每一个turtle的评价可信度
' Q" Q) \$ ^1 Whonest-service
+ Z4 ]3 B$ V5 U6 f9 i% ]unhonest-service
' c% C8 x6 b' t: q' }oscillation
& ?) Z2 u8 E R% Irand-dynamic) ?& R, D' p, x8 `6 C7 ~
]
2 Y7 e4 @0 N: v4 d% Y" v: A+ K' _8 j& j$ x" t# s
turtles-own[& A" a# L3 M5 C7 g/ `# T% u
trade-record-all
0 L3 `3 I+ B# A2 ]$ z;;a list of lists,由trade-record-one组成' [7 U+ J5 z' @8 t+ W/ G; M v9 [
trade-record-one
. G' D1 S; E% U/ p2 K;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录& M) H) [/ {! M' o
3 z/ v* |( _! D' G. T
;;[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]]
+ f1 C" o8 I' E+ b1 utrade-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]
9 @4 v3 @. }6 V' u: Pcredibility-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# a( v0 A3 Z. `
neighbor-total
2 E& u2 s, R0 F$ B6 n;;记录该turtle的邻居节点的数目
' ~ Y% h8 V8 z4 b) M1 strade-time
1 P% Q( p5 G1 C8 V% ]0 e;;当前发生交易的turtle的交易时间
2 P; v) H+ x+ a0 Qappraise-give( }. k. u2 I. ?2 m
;;当前发生交易时给出的评价
z1 x" `4 Q( c7 x4 L; t0 qappraise-receive
u+ G- ~" _ c/ d! L;;当前发生交易时收到的评价& D. j3 i; B/ O
appraise-time8 x5 n) N" m8 P% F& _
;;当前发生交易时的评价时间
1 ]8 I6 a$ e5 _ Y7 f9 dlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
1 R5 ^" l$ U; k( V! Atrade-times-total8 t2 l6 w/ N, | v" Y8 K
;;与当前turtle的交易总次数
- c( G* g/ P; b1 Q9 G& q+ W: strade-money-total
3 o4 t- o% e. U5 _8 [+ D; S;;与当前turtle的交易总金额
1 _5 W% m B jlocal-reputation
" f {4 { p1 b$ C( A/ gglobal-reputation1 i; A. e6 } y) r6 n
credibility1 j- S% u8 Y8 K
;;评价可信度,每次交易后都需要更新
% B; i$ h0 K0 }+ }2 O& D. wcredibility-all
M m# C: V3 m$ R* 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& j: @9 ^& G0 t2 Y* `6 B& \
4 l9 d- p: a9 u7 i; c* ~;;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
: j6 h- B" N# D7 Fcredibility-one$ P7 ?) E. H4 J B; Q9 { @
;;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
; j$ m7 T( p* | D9 ?( o1 Yglobal-proportion( N9 h; P% `6 N2 P0 n, h: T [
customer2 e8 G% ^) ^4 g" ]
customer-no* h) s. v; ^9 f& h# Q" n5 N
trust-ok& G0 ?, N: B* l* B* T4 R
trade-record-one-len;;trade-record-one的长度/ B; H1 V9 L" Y! y
]4 `7 P4 G* {2 P1 n+ i7 L; o1 C
( w! R. m+ T. w+ }; v1 K: Z
;;setup procedure
/ H% P1 Y2 Z* [# T) T+ B5 ^ v a9 Z2 m# [3 ]+ a6 D
to setup4 M$ y, O9 f- U) p# ~/ x: p4 R. U
5 P3 Q, ?( h3 ^4 }4 l. E
ca& S. c) m- S/ d
6 Z) X! q8 H$ |$ u) z6 H9 R
initialize-settings8 O7 y7 n# }! a( ^; U
: t( Z$ g5 F8 o3 J* \1 Scrt people [setup-turtles]
8 b& z5 v/ P( _; p8 P( C+ ^& I' e$ Z( d( g
reset-timer
; Z( a9 W5 z) U1 V0 T5 t3 |
8 q" J; e8 j: s% \poll-class
+ c/ }1 c3 `: c u8 D \# A) }7 w6 Q7 P) ? _7 }1 [. A9 N+ x
setup-plots
+ s2 M9 {9 q- K0 O( t
# @% Z) O* L- Ido-plots. k6 o. u# q' y4 ~- Y
end
% U4 H' x. R: q3 B: g# Q0 j* F% f. v8 v( l; w& T
to initialize-settings
6 i- Z4 [# S+ y% N
) E# d+ ^2 a& T) ^' ~set global-reputation-list []2 T2 G F% h1 v: W0 h3 ^- q" R1 C
+ G* E. d$ i) Y( I9 Qset credibility-list n-values people [0.5]! t1 M* f+ v2 b! C0 M
5 S* a! x# _3 ]# o8 {2 hset honest-service 0
# f$ h- s9 c+ `( ?% d2 L
, O# b: c, R, A% S! Gset unhonest-service 0+ k7 u! H' B$ z W' \/ U v
0 q- ~" z1 N+ q8 ]. N' V$ Aset oscillation 0" ~9 F5 B; c, l2 F8 @
: V4 p4 b+ g* C: T: xset rand-dynamic 0
7 x, [$ W) \; c9 ~end$ H: l! j5 b$ G/ \0 K: }
: {8 @- M# S) Jto setup-turtles " W; z+ }2 M9 l/ R% u
set shape "person") a9 v; M" i4 m. m% N1 B- s
setxy random-xcor random-ycor
8 e/ z" K+ r+ r5 Dset trade-record-one []& `4 ?$ {% t6 F% K# |
9 c2 n2 K1 B W9 R# [% X. N1 B
set trade-record-all n-values people [(list (? + 1) 0 0)]
9 E) V: H7 ?! O6 Z$ V C" d$ s& k9 h8 t0 U4 @9 }% V; Z' a' D- D/ f
set trade-record-current []
) C, o! K& k1 z- Cset credibility-receive []
; B5 r" s& |& H( hset local-reputation 0.5
0 _) @0 r* `* l; oset neighbor-total 0/ ], F1 j& F3 d" v
set trade-times-total 05 m: {6 \- ]+ A* A
set trade-money-total 0
. j/ W+ `( Y( }set customer nobody8 M$ w2 a. l) R7 ^3 V
set credibility-all n-values people [creat-credibility]9 e3 a! I! l/ z8 g1 |5 G1 s
set credibility n-values people [-1]
& c7 e6 b6 O8 l1 _/ `6 n/ Tget-color: L- |; ^% G2 X* C! `8 S
; ]# }- W% E# W8 L% J* p" Zend
& p, r( q: V# r) b' l
/ x2 v; `9 p* e. mto-report creat-credibility
, ]; W9 P# i& preport n-values people [0.5]! a9 B5 X: X% d; O
end
+ N$ J& @7 t$ A5 A8 s1 O2 _
+ g4 e5 _. p3 a: g: Fto setup-plots
3 }) M) J: o1 B; k( S+ K5 x5 q5 ?
set xmax 30, X+ K8 H. v+ s# i
3 A0 X5 o9 L) G8 ]8 {) nset ymax 1.0/ q6 O5 i8 S7 E9 |5 Q
; D( {3 e# \5 v! T0 k0 h
clear-all-plots/ v6 Q) m& R5 e8 `
" I+ ^. ^ O% F$ Q# L
setup-plot1
' J5 g9 J5 H1 u
4 o6 j. S6 v' `+ z3 gsetup-plot2
9 }9 r6 t2 Y3 l/ F" b5 K! e" f. F/ Z! X5 B4 x% N6 x+ v/ K
setup-plot3( C" ~( C# B! I" {0 w# E. ]
end
' X. I# A$ S8 C. W* w7 K, T9 N: E: E3 Q/ y) ?, W
;;run time procedures- V; |' Z8 @2 p: C' C
/ \3 Z1 M' s* w7 E _0 ?0 C
to go2 |8 M% M0 Y+ y( |- d
4 D: Q! V. C- y
ask turtles [do-business]0 _9 r: a! g% _( i
end
1 O3 [- _1 x" ?' Y7 R3 R7 y" R$ K# \8 I5 Z. K' A# R4 X7 `
to do-business 8 U7 r7 h5 T s& z# m
2 z8 [7 R- A% Y! P6 P6 s
7 p2 D6 l* D% q& Prt random 360
% E6 \' h! f8 K1 ^, O+ S$ T# A6 f) f4 L; L w
fd 1
* z. I3 O! c& X) ?; _, \" b" x$ F* m* z( ~! i
ifelse(other turtles-here != nobody)[
& u: D% ?4 J% w2 i0 x. H+ s* l- l5 A+ A" b7 S/ c! o
set customer one-of other turtles-here$ b. i- k4 { I7 y% k4 U9 B
G- q3 w( _- L: W8 B' M1 A+ L3 j4 a7 ];; set [customer] of customer myself6 `( b: l, l. G- V. P- V y
# T4 Y$ N! s( r1 L* E3 ?( J; |set [trade-record-one] of self item (([who] of customer) - 1)- D2 H& D0 A! {, F$ z7 j/ A* z
[trade-record-all]of self
: m! P, Q* K- x: C0 q;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
- {2 y) g$ ]+ a7 i5 J( {
' a* K& z# c* z& O& P$ [. _6 Nset [trade-record-one] of customer item (([who] of self) - 1)$ l$ B* d. ?4 b% Y# k3 s+ S
[trade-record-all]of customer0 O0 p. F( t* ?' g# h
) q3 s' q0 h ?9 R
set [trade-record-one-len] of self length [trade-record-one] of self
5 I4 S& n! Q6 w4 [2 ^( W& }, r0 ^6 P8 p- ]5 g: r
set trade-record-current( list (timer) (random money-upper-limit))+ ~3 ^- z( l# K# F3 |
- {/ a! M- X( Y4 p, L5 t+ ]. f$ y
ask self [do-trust]& N3 j7 B7 G, K: G) c" P: ~
;;先求i对j的信任度! J0 j7 l. J% V* _6 B
4 Z; W+ g# c" L: V( @9 _ C
if ([trust-ok] of self)
L6 Y! U9 }, C i;;根据i对j的信任度来决定是否与j进行交易[
8 A% O' p4 L4 g1 e7 n' }+ A- Pask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself; }, {& c8 ~5 E& \, ?& k3 F
5 W$ h" s3 V4 d. ]) ~( E
[
' L# A" Y0 U1 Z& c* W- e5 g7 ]* m$ \' c
do-trade' ~. c( E! u% Q# \7 A
/ x0 @$ [0 `3 s; Qupdate-credibility-ijl! {8 u* T6 k! m
( v; j7 I; v* J& J6 t p5 U" d. G
update-credibility-list$ ?! V! ~/ |! a* i2 `+ m( T1 g( m
7 Z1 G3 |; U3 b# I1 G
; n! N. ^& x& h% s/ D% U! gupdate-global-reputation-list
* Z9 M" N: v2 H( m; R% n
' r6 T) ~" F* e. e/ S$ w$ ^poll-class; V# G; ]& |& K7 p7 w
& ]" M" t. H8 Q: P7 V$ }& Lget-color. Y( p+ v. q' i) X5 x% I! n$ N
; d# y8 C) B( B* A) |8 w
]]
1 N* T3 L/ d, ` @; U; O5 m4 u6 ^) ]+ o" Z7 B; |3 P
;;如果所得的信任度满足条件,则进行交易
8 ~* R# W, ^ E5 u G/ a
( P2 W/ V" `' J6 r3 F$ y[
9 l; T8 E$ A) d o
& e1 ?' f' z, C' j$ l4 e( Trt random 3603 \7 }, y: e$ p* G
6 I: o% E6 r/ P& hfd 1
' Q3 j2 j7 k% m3 y* V9 [ b* R1 h1 N9 l2 \7 R0 R; ]
]
: Q8 g3 t9 r& i, n8 ]0 m. j2 L' Z" f1 R( ~: T
end' t" J# w9 C: n# ]& c) L# l* W
, m7 G2 k8 I1 D" T# O! X' h3 {to do-trust ; x, f* ~5 A: B- y5 H$ A& T$ B' q/ D( }. }
set trust-ok False
" q, s* i7 ^! k7 s/ |7 f
) y" x1 p8 K Z, i5 z. }5 v/ s8 @# V3 v R
let max-trade-times 0
, M) P* B) x: o, Pforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]% i- S0 k; L/ t6 Q; P
let max-trade-money 0
. k' O; {6 N c# M2 C$ e$ wforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
6 ?: y% j, O' a4 Y' H% T alet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))6 k+ o, A: d: S( e
, d+ c# ?) X+ x) p4 S* i% d% T7 V! H
& w- h) |/ z9 w$ V2 p
get-global-proportion$ k- e: f P& X$ |" L
let trust-value
% w o1 g6 d8 a0 ^- p% v9 e2 ?& e, _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 M+ e+ c, T! O, f
if(trust-value > trade-trust-value)
3 ^# d% P( Q6 p[set trust-ok true]
& y" O. I& ?2 E( j- e- _1 Eend
( l* V+ S$ w* H" s# i, R% I% K
: b; A, n4 |% V y# J- oto get-global-proportion8 H9 F7 ^9 u- ?
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)% F4 G% I) J4 \( a
[set global-proportion 0]) O" P* M% {8 D# a2 C7 K
[let i 0
0 T( g. ^6 g# c" Zlet sum-money 0
5 v7 }$ l$ b% i- @* r1 ` n Wwhile[ i < people]
; j$ \ d. {$ R/ r3 W7 k[
, Z0 Y6 {+ ^) S- B; o1 f) V4 y$ rif( length (item i! o$ m/ F6 m E7 l. E; P
[trade-record-all] of customer) > 3 )" v; Z$ ~1 D' O: q0 I$ x' V
[
4 J9 i4 x) A7 c x3 \$ cset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
% v# N% O9 q. L& M]
- Z- W9 W" `# X9 }$ i]
5 v% a, X2 ]# a, o% ylet j 0
. i U' F4 ]/ E. s8 Jlet note 0
; p+ Z; X5 }- O" {while[ j < people]
2 {( k: t% ^% c5 S[9 O, K1 O4 G0 E9 ]- u0 c
if( length (item i( e1 Q y2 j) \3 L9 p4 o- ?
[trade-record-all] of customer) > 3 )1 ~4 m# O' @+ ^0 L
[6 T7 G9 X+ H3 E8 w; \
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1); g/ @# e" ~. X
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
0 e- I( E! T5 l: u[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
) d5 b( ]* h7 v$ R]
* @7 u/ D9 R$ [0 M- X1 H# Q3 L]
3 `+ s; s$ R* f$ r1 A4 m) m5 `set global-proportion note
/ ?" N3 Y0 l- H% G$ R]2 C# z9 S6 \$ @1 v8 \1 _
end
, f' J6 X8 r" b' N1 d3 {4 [. c
* k2 o% c: O+ Z8 `0 \, gto do-trade
/ w8 ^/ D: y/ C6 A# t9 ^;;这个过程实际上是给双方作出评价的过程7 ~- \1 _ u/ m" ?
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价# k% O: i7 w) e6 m D
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价9 L9 K% K1 \7 Q0 N% T4 O
set trade-record-current lput(timer) trade-record-current. ?9 X9 R- E4 m+ }* I. L+ T
;;评价时间
5 \7 `0 u( m7 q& i9 F) h3 }1 mask myself [
x5 L D+ o- U6 \; _update-local-reputation
) I' @' F: F7 k8 B: X Z7 _set trade-record-current lput([local-reputation] of myself) trade-record-current
6 | p4 Z: O7 U% S1 Z]: r, P% J8 {3 J* R/ [
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself+ d6 j% v/ e% e$ q6 ] @0 i
;;将此次交易的记录加入到trade-record-one中
0 T! Z, L- K9 Z4 B mset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
J/ u. z# U9 ` R2 clet note (item 2 trade-record-current )9 F- \ c2 V f9 x# }) C' r
set trade-record-current9 N6 } S. P* S- i5 q
(replace-item 2 trade-record-current (item 3 trade-record-current))9 U! f5 J8 w6 C ?/ ?8 q- X2 }$ r% |7 Y
set trade-record-current- N5 K# R# ]' z. d
(replace-item 3 trade-record-current note)
J( Q7 j" N) e: V. s$ d; f$ E/ i
# H9 }+ Y; M" F0 |) m! q* Z0 M- ~5 p5 d' T% Q `
ask customer [
4 i4 e2 q( h4 }update-local-reputation
/ N/ F' t7 u1 I* ^2 r: |set trade-record-current
) \6 [) X2 h1 g6 Y(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
* ]; S! k& h1 N5 Y3 `( Z]
% j: o& @/ k0 Y+ _8 a2 O3 I. l6 g5 N
9 \$ x7 U% ~% U# Q
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer) h8 n! d* ~, C
; m# w! o" y0 z5 F! n- {
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
$ Y; E. m& R( o7 Z4 G! H/ S$ \;;将此次交易的记录加入到customer的trade-record-all中8 m, P3 M4 U# E' j% r
end
+ ^" d4 ?4 |. h6 ~) O% ~: j! A5 [1 q( \, g" F2 M3 C
to update-local-reputation
8 Z) w. r" k; d9 _/ R/ F: S Y, p Eset [trade-record-one-len] of myself length [trade-record-one] of myself9 ^" r" m4 k, s3 ]) B0 t
0 J# G) `' B0 x1 s1 S4 g
$ N2 S6 Q% X$ [- \6 z;;if [trade-record-one-len] of myself > 3
1 l F$ {% ^* gupdate-neighbor-total6 J7 u! d5 M, |" u
;;更新邻居节点的数目,在此进行
5 D' w# q; Q6 N% Jlet i 30 k' T! ?$ u" d' k! H. Z
let sum-time 0
5 H: V- @: J: A% lwhile[i < [trade-record-one-len] of myself]
/ E# X. V/ q+ C6 a2 M[! N3 }' t/ f; \; O# g( i+ `; E
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
. r/ U/ s& L" @ M# M+ m$ Vset i- T- e; K/ Q& c1 D. {: j4 X
( i + 1)
- o+ l8 v: |- t6 }0 I]% s w8 [6 p# e# M' x
let j 3
/ E6 q. L+ t& J1 nlet sum-money 0
% r; E$ G' |/ r7 I( x; z4 Zwhile[j < [trade-record-one-len] of myself]& V$ G) D$ n; g# B/ @6 Q
[
; A9 U% L/ A6 Q- |5 {, }3 {& sset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)# V9 l6 i% `0 m8 @" K" C/ N i
set j4 N( B1 b2 \/ |* L s
( j + 1)" n; d7 u5 f: q, k/ P8 j
]
1 D7 \3 ]' |' b2 vlet k 3
2 p& X d& t6 a0 E: N9 Q2 Nlet power 0
; P O, |; l* f& r, I plet local 0
* Y- P$ Y; r* {7 ^2 fwhile [k <[trade-record-one-len] of myself]
- j" V% M/ o* Z# q/ J[/ W6 U( |0 e( i9 C
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)
) o# s$ a6 [9 D4 g7 ?set k (k + 1)
+ X: P3 j$ s, v+ d& []- w0 l, x) t2 w' _5 @* B1 b
set [local-reputation] of myself (local)! p' x0 B; W9 k! T
end4 ~! o% D; A5 T# k% m" S9 G. W* C
) O7 t+ P5 {: U$ c, @+ \
to update-neighbor-total' f1 D W* X5 s8 j
7 @& Q/ z" h5 c8 k0 E
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
! j6 I* t, \# ~$ C1 Z
' I" [0 j+ y, F2 C. x2 \9 U3 Z. c" ` ~ R: C, h& f( A3 \9 {
end- Y* h% F, C* [/ A$ R
" H6 a3 A7 R/ _& Z5 f% f
to update-credibility-ijl
- d# r# C, ~) A' ?) S6 B7 ~
4 `1 @) L& X0 j5 ` j9 G;;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。
( Y r/ v# U/ |. r5 }% N" m* wlet l 0- E6 L* Q3 X9 G2 `& }
while[ l < people ]& ]- y# A9 a( L1 `# A7 `1 V
;;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# b- v! u! u2 g
[
4 Y, h/ T% E/ olet trade-record-one-j-l-len length item l ([trade-record-all] of customer)3 z3 `% }; u/ x9 `% ] F
if (trade-record-one-j-l-len > 3)3 J' {: m, n6 T6 t/ N
[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
( f/ N; O% _$ K2 Z+ hlet i 3& [, ^/ l: {% Z9 }% F0 W0 ?
let sum-time 07 f) ]- M {% |, L: S( `; h
while[i < trade-record-one-len]
5 \1 A9 N$ o* w' I: f& B1 f$ {, z* V; E[
2 N; m, v" ~/ V! |. D1 A+ `set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )3 _% q' [ H0 G. R; I
set i0 _+ M( J. M6 A
( i + 1)
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. \5 N4 Y3 S/ t& o. `6 a& zlet credibility-i-j-l 0
" y1 p/ E t6 |" p1 M8 S;;i评价(j对jl的评价)
3 ^2 y; w* u9 M# D: J7 S, S# I/ olet j 3
% z& \$ y6 f; k1 }' M3 }( K! b4 [let k 4
9 v/ Q" K6 Z& ]- p8 Rwhile[j < trade-record-one-len]
+ i7 N$ a' {# l( i v[& b* e. O1 A. k2 b
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 X& `9 F$ Z" V' ^3 v# b; 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)
2 @" B; N$ N9 u: s* G' `8 e* \/ pset j$ ~* R. _1 L' ^) P2 } Z/ G u
( j + 1)
# f' O& s' C* Y3 L, z( v]/ z" x3 E4 @/ ]8 W& P
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 ))" j" ]/ e) `* M! w- ^; T% T+ V
) _$ e) P- h( H2 M% Q( x
! \' X6 |1 J: J7 X9 Nlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
$ C- p' d( t+ @& X3 \;;及时更新i对l的评价质量的评价7 ]# w& J: c0 L3 D
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]- D2 d' g' b, n2 w
set l (l + 1)( C& i% S# z7 Y/ g4 R* T' j
]
" c" D# b, H; V# l% Kend
; S- C% `# l/ |) @6 I- |" H& X- y
: w6 y7 v0 B$ r) W6 Z, Z' Eto update-credibility-list
6 y$ h8 M2 z _2 _) n+ W% Q& wlet i 0
4 _1 s" ]. ^' fwhile[i < people]
/ Y9 D+ f: S) B[
; n( |2 L, U3 g" J5 ~let j 0
N" r2 n) C; v+ ?* K, xlet note 08 \8 I7 N0 T6 s0 H
let k 06 ~$ z6 `* w9 a$ ?: T8 M# }& I% W
;;计作出过评价的邻居节点的数目4 K2 e6 S, b$ N3 C
while[j < people]
7 w' S& ?3 S/ \/ ]% H1 h9 O[
1 y; d, m- N. e0 z0 C8 Cif (item j( [credibility] of turtle (i + 1)) != -1)7 h% j1 @, t9 \; s+ V
;;判断是否给本turtle的评价质量做出过评价的节点
. J+ k) Q V6 G3 e- m; y[set note (note + item j ([credibility]of turtle (i + 1)))2 ?/ j; g- Z1 x9 p' x' I% q; w
;;*(exp (-(people - 2)))/(people - 2))]
& K' n' T. j# o. {9 ?. u- O! aset k (k + 1)5 p% \ y# \( W, O4 {( e; I; Q
]
' c6 a2 z* O( i& J! e8 T( V# M+ Q0 A9 iset j (j + 1)
; ?, q, F+ Q+ `4 w! `) J! e( ^]% z. O5 l3 g; y4 j' @# p
set note (note *(exp (- (1 / k)))/ k)
4 r- z) g0 q" V& Vset credibility-list (replace-item i credibility-list note)9 [9 K9 v. E- d9 p$ ^5 u# n# b* n E
set i (i + 1)
& X1 i3 n" L. f# n c7 t6 S]5 h4 m* W$ h. q" F5 h. F6 r6 G
end) B: m) O0 _0 L& i
- G( H( w" B7 B- B8 b7 h. s# |8 g8 h1 }to update-global-reputation-list/ N, v8 ]5 z1 c. y; |) L
let j 05 C+ g) G S- g3 Q9 g
while[j < people]
3 Q: e9 e& D' p! K1 P+ d[
* i& n1 C7 C1 j4 K1 U) _: Elet new 0% @" ]" u" O. G
;;暂存新的一个全局声誉# Z2 ?7 X3 u( ~4 k
let i 0' v, `; | [' ]$ ]" P% q) {
let sum-money 0" X. U' p4 {, B( U
let credibility-money 0( K1 k0 u% P& O. D& P
while [i < people]6 M( L$ x1 I+ H, A4 k: L! t
[
2 z, R2 F* o, d" R$ i1 {set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))8 c7 s# V4 l4 q' n& g9 m- [! K
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))& k" L9 D1 `0 o+ t6 k4 f5 C
set i (i + 1)
; f8 e9 {' {5 J]
4 ?- b1 T$ h, H$ D9 ]let k 0' q( p& u: M' X, J( v
let new1 0
, T0 D" K- d: o' Nwhile [k < people]
1 {" n3 }* X' ]7 e[
6 e5 C7 q/ h0 Vset 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)
8 | r* U* \8 Zset k (k + 1)$ A$ k# a, U% k+ F: j4 H& B
]
7 z6 u W8 N2 H" ~3 x& b1 N/ Lset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 9 q: J G) X. [+ J- Y w
set global-reputation-list (replace-item j global-reputation-list new). S+ j+ [) X* D' _2 X: L* g
set j (j + 1)
1 Y# H1 o- S+ m7 D]
, T) i: ^/ f/ k; K9 Kend' f$ Q4 W8 I5 g, z: [5 t
1 s$ X* z0 t& Z6 d1 s9 ]0 V1 |$ C. B) u: u6 _( D7 C
$ ^. s8 c- Z- }
to get-color% J3 f/ ]( h) f% u9 L7 q
. R4 f3 p* G/ L$ ], M Q: E& @! L: uset color blue
; _# f# P+ `# C5 d rend
0 I; Y8 f4 Z/ N
7 I; a/ o; I9 H1 ? Xto poll-class
1 W2 C5 y2 @1 Z$ z+ Aend
/ ]/ x/ ?) U( A' j1 o
9 n8 v' B7 d8 Z7 T4 I$ Q& B0 Yto setup-plot1* H6 M& ]! G$ ?8 v% r
. U) [6 K& N- M9 C
set-current-plot "Trends-of-Local-reputation"9 V' c+ R, q% `4 b1 E* }4 B. [
9 y! m* U2 i$ ^6 c- _; uset-plot-x-range 0 xmax! x' s z, j3 D7 N" \& Q
$ n5 t8 s5 X- t' g
set-plot-y-range 0.0 ymax
1 D$ L! J2 m( c1 d+ ?/ Fend6 X" Z5 r4 p& f( h8 g5 V% d" g
9 K7 D A, [+ f4 w
to setup-plot2( T6 o" e5 s0 Y% B- n
3 p7 [* d7 G1 _3 j: n7 A! [8 S
set-current-plot "Trends-of-global-reputation"9 i- P/ W2 v$ P
! W" d6 Z7 c2 G' S$ u& Z
set-plot-x-range 0 xmax
^1 k0 u8 ]/ [
( D( B; x' F: C) p4 p Iset-plot-y-range 0.0 ymax
. x3 |* T: @' I0 E- s1 Zend* c( a) \6 b+ h: N1 L
7 X3 ^- i: c3 z0 B- ~
to setup-plot3* L0 E5 f. W- S0 b; Z
9 j4 r; m" I- b6 m* Pset-current-plot "Trends-of-credibility"0 t! u V# x% x2 }5 ]
) I& V: a! V$ O2 h
set-plot-x-range 0 xmax
' f6 A' q% c0 j, \) i) A) f1 n6 D/ U& U( m' \/ ~
set-plot-y-range 0.0 ymax6 ]) A# m" `& \0 _/ p
end( ]* u* r- `6 ^1 L1 g) q' a
4 V5 P4 ?; f6 g {' j. Z* Q' @to do-plots
7 V0 [/ t0 q U* Y" A X3 [set-current-plot "Trends-of-Local-reputation"/ u( _: ?+ x1 a, @) ? p" y8 N" \
set-current-plot-pen "Honest service"1 M; Z' L; `: i0 R% I4 E" @
end4 G# ^0 ^' f: K, n
& d5 A" K; B4 n
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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