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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6 T, Y& F+ p9 s4 W
globals[
1 f& N. p5 e# U8 x$ x' Vxmax5 Q9 D- [1 R \8 G! t; r) p% d% [
ymax2 F4 C/ ?, J P+ D/ b$ P
global-reputation-list1 {# b9 p6 g; i' m# k- i+ d
1 Y7 O" O: Z. ^- S c
;;每一个turtle的全局声誉都存在此LIST中* v5 q9 c9 M% i6 }8 [/ h* a& a" D0 Y
credibility-list
9 S0 g' |9 b- {& c;;每一个turtle的评价可信度% k- | b& U& V/ `! \* D
honest-service
M1 z6 g' L9 x* Yunhonest-service6 F" S1 t# t* A. {. @! M
oscillation0 `5 U _& C, B6 ?8 m3 `- l& {
rand-dynamic! J" d2 n. I* u
]
+ U7 p0 ^( ?6 ]0 z# [# h
o7 Y; n2 ]( X) r; y/ S, H7 Yturtles-own[
; m8 O3 ] P- b8 h" N% V+ Mtrade-record-all# w" Y/ Y- Y5 F% W, M
;;a list of lists,由trade-record-one组成
8 k( ~% V! S5 ^. F5 B, t- Strade-record-one( u- z& b$ W2 m+ M+ [& J
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录( h3 N9 ]7 U0 b7 v6 {* d/ R8 |7 b3 b9 B) z
& b% M/ j$ q9 y1 m( O6 \
;;[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 V. M/ j1 P2 {/ `) s6 G5 g. 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]
( u# g' Y! {. B% zcredibility-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list4 v* w* y$ ~, q+ R" D
neighbor-total
$ S n+ k! l' b& [9 v7 ]6 z;;记录该turtle的邻居节点的数目
/ d( O B+ l! s8 [trade-time
) @" `* z7 q+ k;;当前发生交易的turtle的交易时间
" A: E: Y3 c6 ^, R& Q7 vappraise-give) c7 o* H. t5 _0 H% ?+ _: V/ j$ {2 C
;;当前发生交易时给出的评价
7 x0 Z1 U5 p; P. bappraise-receive2 k% c5 F& ]* \" o" s
;;当前发生交易时收到的评价
5 u+ Z, L) v% _8 o. f( n8 o& iappraise-time
6 _6 Y5 G3 _( Z! d;;当前发生交易时的评价时间
) o: ~& k; Z! o4 |local-reputation-now;;此次交易后相对于对方turtle的局部声誉
, @! M$ j; a3 m0 [+ m2 htrade-times-total$ T% o* d8 @5 s1 F- X
;;与当前turtle的交易总次数) E( z) l; C) D2 d; I
trade-money-total
, D. y' }4 s; J( j% u0 b;;与当前turtle的交易总金额( g5 j; K! C# t% A
local-reputation6 m8 y4 N/ I; ?' Y D
global-reputation
" T4 S, z- J# G9 I1 ~credibility$ j% h; U5 R/ X
;;评价可信度,每次交易后都需要更新
( [2 G% d8 E% p Pcredibility-all
' J/ j, x7 I, r0 g% 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6 I* i8 J2 _) ]" z; |0 h: ~
7 a9 V5 c" G+ B6 G- 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0.58 O: S8 H9 k/ z6 Q6 X% [8 a# v
credibility-one
; {) O& K- Z# u6 K" 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+ N( Y5 {( U6 R: u; q. ^
global-proportion
+ Q6 ]# T" H1 F" }4 K3 m% K l3 h+ ?customer1 h2 ], w* l6 v% F# t
customer-no
% h$ i1 {/ F" h, V' y$ Qtrust-ok
, C/ F7 e7 `7 ^4 O: | _. }trade-record-one-len;;trade-record-one的长度2 i5 a* k9 k8 _" Y; v6 e/ v
]
9 R6 t: T/ q1 l, W7 i0 {0 h1 j6 z/ N
9 k' N! ], g- g* K/ d! G9 A;;setup procedure
# b/ |* Z4 e7 a+ {. f& E$ r- ^3 F: C7 P( W' l; T
to setup- m* C4 I5 o/ q* Q
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ca: I' B5 x5 |" [$ N
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initialize-settings
3 Q. i& i4 E$ m0 n
7 r' Y8 \+ ]4 _4 n* a$ v2 Bcrt people [setup-turtles]
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# v- d. Y6 H; L8 C9 d- R2 E$ O8 y4 o& Creset-timer6 }8 F/ q4 D. v2 Z
# R0 y4 \- ]% ?- c: u: i+ r3 G& D
poll-class
. j! h: v0 v: d- u l/ Z, A4 \; r& H
setup-plots
( ^: B5 u& \8 D% m2 |
( r, E% S' D. Z+ a1 l8 gdo-plots& {5 M: f& c! Y
end
* ~# W: K. k7 P! l' k' p5 Y
0 ?. M% s1 n% y& N# hto initialize-settings
: [5 J6 O% `: K) C: v
( s0 p) i, k+ k3 M* Cset global-reputation-list []
( t9 F: v5 g8 q0 n V: |8 C5 E5 e U$ r4 |
set credibility-list n-values people [0.5]
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! C+ }% L; m0 X) i) M7 b; oset honest-service 0, `/ f- ~3 Y! f, {$ O
[! g- O+ R( D) N0 qset unhonest-service 0: t8 Y& v) r3 g' H
! L# [5 w- p4 Y9 w( w
set oscillation 00 `2 t0 @' p' n7 x. a: q
( y3 b" \9 R. U* o, u, m
set rand-dynamic 0$ ]7 c( w( j$ Y" }
end
{( x2 L* i! {- ~0 G4 \$ y' o: l
V0 x& P+ S+ ]to setup-turtles
: Y- y) n6 M8 W! wset shape "person"
' P6 i7 s2 y$ A' |+ r/ s Gsetxy random-xcor random-ycor
$ d2 f3 K4 J& z4 Eset trade-record-one []5 ?, s, E# J( H0 E# J
, V$ O) J; u" W- G6 X1 M
set trade-record-all n-values people [(list (? + 1) 0 0)] , w) f7 Y0 s2 f! P j6 E0 G
# i# V/ u! r: B; S0 j# M+ N6 e8 n5 h
set trade-record-current []
1 x" `0 i- a2 c% \' F/ }$ B' z' Oset credibility-receive []! M: O6 ^8 N9 c$ k: S) c8 Y& j$ s
set local-reputation 0.5) b, ^) {7 z5 X& e- @# I
set neighbor-total 0
: O* Q% b) q0 R5 [" gset trade-times-total 0
* N0 G1 d0 g- O* M. ^set trade-money-total 0& d& w7 _6 P& i) L9 Z
set customer nobody+ s) X$ `9 ^$ X8 {0 ~0 [9 s
set credibility-all n-values people [creat-credibility]2 l3 p9 g0 O' y" o
set credibility n-values people [-1]* ]5 i: A( u! V; u4 V: T0 J. U8 B
get-color% p5 h* Y/ l% F1 T
" q C' M& P; h( {3 D3 `end6 R* I4 H, ^; \* ^. z# g" K" n* s
+ Y9 E. L( J8 e6 J
to-report creat-credibility# C$ S* l5 e5 O% w4 p& i* X5 L
report n-values people [0.5]8 ?2 X0 |3 P. Y+ C5 ]' K7 c4 Q
end1 K4 D# @: w: x. s) c
% O4 R; `; Q3 l9 E. uto setup-plots/ I. ^3 s0 I' x% }& R' `* u
( U7 A3 m# l: M- Y1 \! @set xmax 301 x3 W( q/ b1 ~% b
" Z t2 ^. }* w: q2 X; S4 Z
set ymax 1.0) k; g) H/ d+ V: j0 `
$ u8 l, {, W$ }' r6 P+ m. m6 dclear-all-plots
$ I! l. p$ Z+ O1 N* q4 L" G: ]# u. Y4 g, }8 M1 ] l' j% ^
setup-plot1
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setup-plot2+ B9 k( c6 R5 w# z1 [3 R* Z. p6 m
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setup-plot34 k5 e( Z$ P3 C% A5 F
end
, G8 s" Y3 ` d' T/ o! c \3 M% `; s4 v! T$ Y/ h
;;run time procedures. {1 I9 k6 O5 p7 t3 h @7 o
4 E: Q2 T' B* L: u5 ^to go( ]/ [) W% k" ~3 J }+ H
" r, ?- o4 s1 V) g, e! Fask turtles [do-business]# i3 r% }) |+ P# E, [2 X- g9 t
end
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to do-business
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6 R! i3 V7 x' m( A4 u5 u1 `! r8 h9 q1 @1 v3 ?
rt random 360 v6 i9 x' z) E" D% \3 M
5 Y4 V* y9 C2 c- |8 Gfd 1) b' D2 E9 b3 g/ k1 {
, q0 r' { @$ `# z/ y
ifelse(other turtles-here != nobody)[
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set customer one-of other turtles-here
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;; set [customer] of customer myself( A; a& W% C8 l: Y
( P% U8 M! A9 q' J% Vset [trade-record-one] of self item (([who] of customer) - 1) P h* ]8 a" y7 \7 \5 o* o. M
[trade-record-all]of self
/ M4 S& a+ h& }% C6 N+ w4 o3 q;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self5 C5 U# |7 v7 R0 e
2 u, g' o# S+ p& g' Vset [trade-record-one] of customer item (([who] of self) - 1)3 H7 d% R9 w& p9 E5 Z. W- D: O
[trade-record-all]of customer8 a- F0 n6 C7 Y/ [
P$ |& |7 p- z4 n# X
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))
: [% s+ [) H( [0 f
. Y; X! Y" V+ hask self [do-trust]) J* k- {0 E3 S5 z$ N% g1 O9 j5 u
;;先求i对j的信任度+ l0 M0 Z8 f: }+ E% p
4 K7 V8 P+ m, D' N( f6 f7 @if ([trust-ok] of self)
+ i' |' w+ i! [. x;;根据i对j的信任度来决定是否与j进行交易[
# K7 b; w! O/ B" N9 pask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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[
. |/ v- a @ @; c) S
4 A: c4 Z; c* I2 Mdo-trade. h% S* Z+ Y) q; C" H) ]7 z
$ O* s e2 K; \1 A# P2 c' N
update-credibility-ijl/ M. y9 d% m1 g! X3 ?% i
3 P( E* `9 F7 Q' Y$ ~% L7 \
update-credibility-list. T- _0 v5 W; O9 x/ d8 m+ S4 t
G9 s$ J1 w* B: {
6 ]& d) l; d i5 r' j$ o# N; Qupdate-global-reputation-list
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! {$ u2 Y, I5 p5 vpoll-class
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, v: a: q R7 ^6 t4 Jget-color1 ~7 t6 K% ]7 C) r' J& C% S
- h* Q. U' A( ~3 i. C( ?! u4 m
]]. U% W% c# z: B- w& T
- _* v- S% r' k. B. g
;;如果所得的信任度满足条件,则进行交易) ~3 X. a& r/ M* f* ]1 h
+ m ]6 G6 y& `: w
[
" e j* Y! W" r% t) W+ B2 ]+ ]* U( V% X; x3 w: _/ s6 \* a; z# w% V, p; ?
rt random 3606 E" N& V- E$ L; C' x
. }$ ^* L6 t6 J zfd 1
5 r: y5 V& F' e+ J& o
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end1 [% U& A j& E9 b
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to do-trust
0 J1 O2 a. B) [! `6 {1 j u1 `set trust-ok False
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let max-trade-times 0, k2 M- H# ?6 _+ W
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]* G8 ^6 B$ s# H
let max-trade-money 0
3 k7 `) _8 a) W h w! u M0 R& {foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
7 ]& j3 w; [3 b7 T, u [let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
3 h U9 c/ z5 m' w
3 P+ I6 j" ~! T& p5 m" @' y* ^9 T8 ?; n6 k" Z" X, f+ I; G( |* m
get-global-proportion% |( x; W- {# A( X }( F
let trust-value
5 v* W, A, x+ V+ L3 ~1 t: alocal-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: J( ?2 s0 i6 gif(trust-value > trade-trust-value)
7 j Y0 n- e) [[set trust-ok true]- z5 q0 c8 d( _) i
end1 @4 S! k6 g6 c; k8 {
6 M2 ]: m/ V5 A& {) I8 c5 nto get-global-proportion
- p" f! }: v H: c0 _! @ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3); x# ?8 Q* i1 p3 V2 ?" m
[set global-proportion 0]
! l/ C5 \* c1 N[let i 0: f- R" @9 d- H9 {+ R
let sum-money 0$ E p& j& q a l: m7 Z
while[ i < people]
, Y P* E |! _7 `[( k/ k! [; K+ l' g# ^) A
if( length (item i9 W* u5 M7 ^# v3 I; {) G" Z( _
[trade-record-all] of customer) > 3 )
9 K# D+ n, c$ r% W; w$ H4 `$ Z[
; [+ L& l; N4 o7 o7 Iset sum-money (sum-money + item 2(item i [trade-record-all] of myself))6 T0 [) M4 |1 x- `/ W8 p: W, Z
]& n! z- |' x- Q% A) T
], y: l" Z- M) w
let j 0
- H6 L8 Q* d; C& F. a) `let note 0
( I' {& [: ^( I1 E6 vwhile[ j < people]! O7 ]% L" ^7 j
[" C1 V' ~- V3 A& c2 ]; Y
if( length (item i
+ e! \8 X/ Z1 T[trade-record-all] of customer) > 3 )& p( Y0 _* E5 A- d- Z; i
[
% E- v& h4 d3 u0 qifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)5 o8 A- @+ c/ W* P3 X+ r
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]( V& H0 F1 E( R; C8 I8 d- p' g9 E
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
$ S) u. B, G4 D/ a1 m2 i$ G6 O. y]; b- r; w9 ~( ~% C( F
]+ ~* W! w+ x9 J! T: D5 J
set global-proportion note% i! F. u. D4 o: \! S3 H
]6 f9 w7 ?: B0 _: x1 u, t
end
3 w: \. M, u0 g7 I/ z% h& [& ]
% F2 p0 t* Z9 s: H" Qto do-trade9 g0 N L6 p8 e$ g8 I/ { H
;;这个过程实际上是给双方作出评价的过程 w l# c2 }6 F) I- b6 c; ]) G
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
& J! @4 d& M7 |set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
3 r) X0 b7 X8 u3 Y0 I m$ pset trade-record-current lput(timer) trade-record-current
8 d; y0 r. C& E+ };;评价时间
1 f7 z% y) b$ eask myself [) V) J. |% n! `% J4 x) ^6 h
update-local-reputation
1 S+ ?7 G, `& i; d, R" xset trade-record-current lput([local-reputation] of myself) trade-record-current
! n4 Q% n! B0 \]
, r& k2 S& e: S: i- ^+ h" Vset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself7 u4 t9 M7 C' k
;;将此次交易的记录加入到trade-record-one中
2 D) u, f5 y& i" a+ w: vset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
) v. x) E+ J5 x( { klet note (item 2 trade-record-current )4 N: l+ [, l/ i; Y" i
set trade-record-current
8 w+ E8 Q1 e7 Q0 D6 t# |& q4 N(replace-item 2 trade-record-current (item 3 trade-record-current))
( Y7 R6 l! |# {# r& Qset trade-record-current
5 {2 V& S, ]3 o9 w5 p4 r: u0 C; V8 k$ w(replace-item 3 trade-record-current note)
6 u u* k+ { e7 i/ r A j. R
$ B) ] p; @# j
; ]" A! I7 g3 f8 g( _5 [ask customer [
: h- l; V0 x+ f+ ^4 u5 K6 G% J* Fupdate-local-reputation: e! B. z; w7 S7 h- j3 |. O M
set trade-record-current- K* q* R$ }: c
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) ) Y5 [6 I6 S5 o. I
]4 C4 W3 @" y; ~
n; a- D; ?! @+ p( X7 @
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set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer! W4 c) i, ?, x7 U
1 S7 h; z+ Y5 C1 [$ `
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
( R! p0 f8 c% \7 p* P* C;;将此次交易的记录加入到customer的trade-record-all中
6 c6 a: l7 W. H0 s* l0 E+ [4 L* Mend
- b5 h" T. |/ i/ z9 ~5 s0 j1 `3 ~7 b* b- R/ f% ?
to update-local-reputation% J; t7 V/ B' k4 A( U) }
set [trade-record-one-len] of myself length [trade-record-one] of myself( b1 \' {& {, a
. j) K/ N# d. U$ I' n
9 L0 X9 Y+ k* N- l: Z- q;;if [trade-record-one-len] of myself > 3
4 y2 D4 C0 |% z+ _1 _update-neighbor-total% d" I u' S- R$ ~" g7 o
;;更新邻居节点的数目,在此进行+ {' A3 }) e1 y. P% W0 a* a+ j
let i 3! V/ D1 O! J* S" |9 Y; v
let sum-time 0/ I. d( E' V$ e: M8 j1 n
while[i < [trade-record-one-len] of myself]
0 y$ T+ L2 E: y: X[
/ b, R& `' b/ v1 h: jset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
) D6 L8 l' z" P# Kset i
. W, K5 f0 u8 V e& r( i + 1)
K v9 ~0 ~& H/ }% J6 R$ S- Q/ P]( \. y/ i) p E3 D
let j 3
9 f/ g. l; x e2 Plet sum-money 0
/ C+ j' ]4 W! J6 J% Y: cwhile[j < [trade-record-one-len] of myself]
. b" |' ]3 d$ C5 D2 ][9 z6 t" e9 d: b4 X0 |& c
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)
% w% S5 j( o9 j$ @1 P4 t& F; j# @# eset j; n* ^! e" W0 y, t2 p9 W) _$ J6 z
( j + 1)
7 Z6 c) t0 t6 ?8 W9 G]2 w2 M8 f( S$ L# i' V$ e
let k 3
$ ]& u% G1 u) z& P8 N$ Dlet power 0
# b9 C" n: |1 N% blet local 0
) m. W* e! G1 R6 m% `# @) Dwhile [k <[trade-record-one-len] of myself]
, U0 \+ ~- G W$ [[
0 C5 {& C" R# Oset 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 n% Y* o) p! t
set k (k + 1)( h0 R$ ?& I7 H) X
]
% [4 k0 k8 M3 p5 V: r+ s4 Kset [local-reputation] of myself (local)
. [7 a6 O i3 _: \4 P' Q3 o" {" hend
7 `: F- _, M9 y$ ?& J- I7 E4 g
to update-neighbor-total) V: h: I+ E' ]
) c3 u) A; w/ h6 J- w7 H' b* nif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
& Z6 e% K+ ^; A1 O! g v# p
1 v9 C# Y3 T) E9 d3 s3 g! U F5 `- D0 Y6 q/ L/ R/ K
end
0 |9 c6 U& w" n* B' t, O0 N3 Q0 M& H/ O- Y4 x: y% H
to update-credibility-ijl
0 {* ^, \. k" S* Q0 G9 X+ b |" A* K; u2 j/ ^" |
;;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。3 h5 m# l3 }6 E3 m
let l 0
Q6 }0 {4 [3 I7 O. e1 Q1 dwhile[ l < people ]% i1 _: C; H- M6 {4 [# Z# o' ^
;;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 [, n& S- h& K5 r9 m! b6 }. g[
' Y5 m( ]) ~+ f, Q, j8 M- ]let trade-record-one-j-l-len length item l ([trade-record-all] of customer)+ m/ D3 C4 B# E4 x: S5 K
if (trade-record-one-j-l-len > 3)
$ n+ s0 m" {! L) Q+ t* M; 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
) B! l/ Z4 i* n% B, b; ^- Mlet i 3
, J/ I7 v4 X8 T4 V e: Llet sum-time 0
; r! C9 [7 h" F4 rwhile[i < trade-record-one-len]$ j" S+ ~! h+ q
[
* L6 [) ^' [- E8 vset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )1 @' p9 [! x* q! f- n6 n
set i' k, j2 v; d; }$ C1 a, z x
( i + 1)
8 n7 z: U! O* ]* {3 k]8 ]3 C/ T1 G2 Q& i
let credibility-i-j-l 0
/ v% J& O. ~4 d1 b;;i评价(j对jl的评价)0 D3 W; U! p+ G" n P
let j 3" G I! X, ]5 ^; Z
let k 4 h/ w) c& L9 _
while[j < trade-record-one-len]
! w5 Y9 L! U& C A4 C N[
6 ?- Z) Y' v. C: t; c" Owhile [((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
0 Y! P" D) D/ J C* w& s2 lset 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)
E& ?6 h1 W* p- x/ }0 v8 \set j
2 m2 |4 `4 ~3 R; o) _! h, T" z( j + 1)
`8 c' Z2 h& R]6 g. E) ]' S* V
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 ))
; F: c c2 c$ r' ^! o/ z( Y' Q. m6 k
9 d) z# o0 j) Dlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
5 |2 F: \, N$ ]! c* J, |+ k' U;;及时更新i对l的评价质量的评价. Z1 y1 d* w, I% t4 u5 n9 ]6 @0 s
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
5 N- I9 F/ l6 O: t. A, dset l (l + 1)
6 F: z v9 H7 ]0 F: }5 p6 I]
+ `, J: ?8 k' X$ f: N- rend- X+ p) z% f: B3 L8 H* X
9 z/ B* S8 }# v( a, Y
to update-credibility-list0 W; `3 F* o" ]& z0 B
let i 0
$ a, r! l1 E- F+ R0 }9 B1 Mwhile[i < people]% B M3 `2 M! P& x: p
[
1 K% _8 v9 J4 R" B* d; W7 g! Slet j 0- w0 x& y# {8 z6 F( Q3 H. o& M
let note 0" H; F: G: {: n# t7 H' L
let k 0
4 W% I! Z5 e. ^: M; u* Z) q;;计作出过评价的邻居节点的数目* ]# O/ t1 j1 U+ f( K
while[j < people]
0 Q1 i6 S6 e* K7 a3 t# p[0 ^. Q k9 F3 L) I2 p
if (item j( [credibility] of turtle (i + 1)) != -1)4 y3 L" g$ ?* u, \/ g1 }% r, @
;;判断是否给本turtle的评价质量做出过评价的节点
7 u. ^. v1 B7 u" v$ O[set note (note + item j ([credibility]of turtle (i + 1)))
% [2 J0 g5 D8 t& I3 D;;*(exp (-(people - 2)))/(people - 2))]8 I; o: U& [! g; D% m4 D2 i( N
set k (k + 1)
9 [, G0 E1 N9 M0 b( J]) Z# c7 F* _9 T, L# e1 }
set j (j + 1)6 J9 d( p; G0 r# W/ k/ W' P+ U
]. D$ j1 U+ O% C+ F3 F7 n% I4 `$ W
set note (note *(exp (- (1 / k)))/ k)
6 K, ]5 s8 Z$ M* N# X" n+ `' eset credibility-list (replace-item i credibility-list note)6 ^8 i$ f0 c, R* Z- d/ ^0 b
set i (i + 1)8 J' J ~! n+ G- b' \2 G
]
1 N. E! i' {) d# E) p: D- hend" d1 b! u7 F9 L+ _0 W
: F0 [$ E# v+ U
to update-global-reputation-list
/ z1 M1 C4 L# t2 d, \let j 0
5 a3 S1 k7 A% E g0 _- h9 `while[j < people]! \+ C' k$ n+ B. d
[
. V Y* l0 ?$ N& ~8 p: V6 @$ hlet new 0
# B- P w' q% }. R( o7 v) a;;暂存新的一个全局声誉+ @& b% U" k. ]* T4 c0 i
let i 0
- M: O1 L+ h, f5 n7 U9 }+ p0 [ Ylet sum-money 0
' e4 ?! \6 _8 X& L2 B7 hlet credibility-money 0
6 X! T+ ? y2 j) x2 Bwhile [i < people]2 J5 k8 v# x2 ^1 V4 y
[
- \( T, X7 v2 w! d. y( nset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
3 K/ @$ S U1 O9 p* d+ yset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))! ~( h! `4 N: ?/ D5 I& S% K
set i (i + 1)8 r0 A3 O: A7 d# M2 K5 Y4 a$ L! ~
]
+ [$ f* |: A, r0 [- u* I8 F' ]let k 0! E5 l! ^) K |; T4 v0 j$ ^1 N P
let new1 0
- w/ {1 _" q4 }2 iwhile [k < people]- c# `, g) z4 e8 L/ L! ?2 K
[
+ X6 W& n' C4 r& ]; {9 Zset 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)
% E- f" x0 ^& g8 Q& L) L6 p( _set k (k + 1)
% e$ m y+ L/ y( J] U# g, c: C/ A, Q6 n
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
7 G# t+ G) K# J8 Y9 ? Lset global-reputation-list (replace-item j global-reputation-list new)
9 f. _' c" O# K0 `. _set j (j + 1)1 A: w- r& s6 h% A4 m, w# i( |
]
7 a5 V; B, n1 Z% M8 dend3 N4 W0 c T _2 y" @# M
* J8 e9 R/ n; L
. J9 ?: n% e& ?5 g1 o$ q, O4 @% \4 w h9 b# L: e5 A, B% E4 R
to get-color. L1 R4 i1 ~) ~( S
! Y4 \! {. ?9 Mset color blue
/ Z& A" X5 E! Y) n& s; X0 T! o/ L0 Xend
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$ U3 j% y' K- l$ T1 zto poll-class* g8 y) J; p6 R$ s
end
; G2 M" S: g2 {8 a6 B7 T' a
9 L- j/ j: m7 Rto setup-plot1
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set-current-plot "Trends-of-Local-reputation"
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set-plot-x-range 0 xmax# y/ `" m5 c2 u5 D0 ]
! p2 ^0 ~) u b" {! S: @7 m
set-plot-y-range 0.0 ymax
2 ~, K8 B+ O. iend% [& Z3 a& r7 I/ O
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to setup-plot2: G$ z+ g8 B- K2 H) Q( f
$ f+ a) e- @/ `; N: @$ g4 l
set-current-plot "Trends-of-global-reputation"
q' J8 U( v. j. J+ B
8 J5 v5 t p' m; {! F) Iset-plot-x-range 0 xmax
' }6 r. D2 q; J" s$ G( R- |2 [( ?: }8 v
set-plot-y-range 0.0 ymax
) a8 {) ?9 J: ]5 j* F Q' F3 z9 lend; b7 v( E" a% T8 Y" l
) {- v- ]% _; o
to setup-plot3$ d% ^. V9 |3 t* z5 }) n( _
+ S7 x& I( t! ]set-current-plot "Trends-of-credibility"; ?% l# `0 ]- u. ^
/ v0 ?, o' ?+ J, x# J8 [2 kset-plot-x-range 0 xmax* D- Z" O5 k4 w: h% @1 W: ^+ Z
2 }' W' v. E1 v7 y! c8 |9 e, Aset-plot-y-range 0.0 ymax0 j- w! j) e4 w/ M" {$ M9 p8 O
end/ @, }1 R$ V2 \$ E A6 t) R6 P
4 L; e/ @( i6 W) ~3 g5 {
to do-plots
+ h5 }( Y6 n B! a! @0 _* \set-current-plot "Trends-of-Local-reputation"
+ B: f( O% k9 Zset-current-plot-pen "Honest service"3 }3 h: f9 ?5 b; v
end8 k* x& U2 B$ @2 H, s( P
" L9 A4 N& j% D1 Q! }
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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