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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 r3 v( o# @/ S* J# P- {
globals[
1 c( i: e5 w% h$ ]2 R+ Bxmax
E3 {4 N3 v+ t" Z% Zymax
" ~7 M* _* V: b6 z5 }global-reputation-list
! H1 X+ v+ O* ^5 k6 G9 B: G$ k
. Q; h4 w& j8 v" M0 Y5 ~1 ^;;每一个turtle的全局声誉都存在此LIST中
) S4 v( M$ h1 J9 |! ecredibility-list
1 C) _9 p1 @. L* ?' V+ g% F;;每一个turtle的评价可信度
8 W1 P% S' b& v, g% B3 X& C' {/ bhonest-service5 _5 z/ y& ] D6 M( @
unhonest-service
! B8 C) `3 f# eoscillation
' e) j( K: R) _rand-dynamic( a2 ]6 _ }2 V: Q
]" ~+ o" X4 V6 h. C0 q2 A0 d3 e
1 |. `. ^# [) j! X7 r8 mturtles-own[
6 m/ o& T0 I0 B' E+ b9 ntrade-record-all: I& S) Q: s. H' D/ }: ]4 W
;;a list of lists,由trade-record-one组成
, ?' \1 X7 a0 x+ N) }trade-record-one5 T7 {# \+ j) T9 A! R9 e, ^! s
;;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& V/ O- M5 ?8 d. s" G, X( k/ y. h M% h# Q" x& X: a! O1 F; f. v3 W
;;[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 u7 O: F% }# |& o% _1 L
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]9 O' l9 w. ~/ `7 {4 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list
0 |# M7 M: f V8 k; `' m( u: Hneighbor-total
5 ?0 u5 e4 h' |5 i;;记录该turtle的邻居节点的数目) Z" J- Z* D: n. C3 T# c
trade-time0 d8 \" N8 l' l7 B# W
;;当前发生交易的turtle的交易时间. G4 X8 p$ k8 _/ E
appraise-give% i7 H2 L8 m) J( q
;;当前发生交易时给出的评价
7 l. f: ]% c c- C6 M- k9 vappraise-receive
. p$ t, l( B( d2 B' v. j" L;;当前发生交易时收到的评价
% e2 y! f5 o, W2 C( } Fappraise-time; u9 b+ J3 N( e! c. \5 ^
;;当前发生交易时的评价时间6 k5 W5 c8 l3 H
local-reputation-now;;此次交易后相对于对方turtle的局部声誉" w4 P" S. O2 v0 y! p3 j6 B9 s9 W
trade-times-total
2 K0 L" ^1 c7 Q/ B+ v5 U6 @* k;;与当前turtle的交易总次数* k9 I, D- B/ |( k
trade-money-total6 ] C! |/ H8 ^. |
;;与当前turtle的交易总金额
8 G. ^0 x: O4 y, `' tlocal-reputation9 I+ E9 S& ^+ q1 ^$ o" \+ R
global-reputation
5 Q3 @+ t# O. g: W2 V/ k5 v# {* Bcredibility p- O1 M0 G0 r X+ b) Q
;;评价可信度,每次交易后都需要更新5 o0 N0 |' j; h/ F, C, I7 P3 m
credibility-all
# F1 r1 X, k# W2 S- N8 }" \- U;;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
# G4 w4 r5 I; b3 X( [ Y7 s) u8 |3 ^4 y' K1 @$ 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
# M" e" B/ A* C) }& W) Lcredibility-one
; v! O' |% s; Z! d0 } o! f;;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
2 e& X* n/ k M/ i6 vglobal-proportion
# m3 }* C) Y% e, g4 c8 X* ?# icustomer
& S/ c- E/ Y% m1 Y& Ucustomer-no
9 k; @" X4 w* u4 f0 y# \trust-ok0 ~8 r2 f B- G+ w! J
trade-record-one-len;;trade-record-one的长度
) `! y+ J; p& U, W]
; k% S2 Q9 y+ A5 x* ]
/ u+ y$ R: P# ~0 v. `;;setup procedure
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to setup
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7 E- F' r4 R# }' E# Vca! p3 |/ `9 m& J' v. {
, h% u8 j* Z6 A0 C& x }; q8 zinitialize-settings
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# n e0 W$ ~- d6 R) E* ?& f5 Jcrt people [setup-turtles]7 I$ R; U4 w4 W' f& p( \
$ M. S- |9 f$ B4 Z$ [& @/ {7 ]7 rreset-timer
% y. k9 q( V M8 D
2 x( q: g1 R) q7 N: h- npoll-class
! ]* T7 L3 ]- X- N' a/ J9 n+ N0 J5 g+ ]3 S( R
setup-plots w4 G2 H* J- c
* n+ @& }7 _/ l0 i+ P, x/ zdo-plots$ d2 t# e7 r4 L- d
end
# V" _1 J; X# k1 l* \0 W& R1 A1 _* d9 ?4 O7 ?: o( P; y
to initialize-settings! a# Z9 W3 c0 a4 ]( Q( p5 p0 C
+ t4 K) B0 X" ]* }; c1 r
set global-reputation-list []
1 d' `5 H; o, m8 |6 }: L4 l1 z' [# n
set credibility-list n-values people [0.5]* l' f& q! V+ s) F$ m% L% K
7 P3 L* r @3 E$ E6 E8 ]
set honest-service 0
$ `( G+ ?+ ^6 q7 L: T! R3 m' @! Q
# U+ G1 @7 T" P* i$ }set unhonest-service 0, Q0 k# f9 b7 \% C
* L& G9 T+ u; e; l# C" K0 t
set oscillation 0
$ c& C7 n# ]* `2 e4 {6 l7 `. t/ n* J' {2 W* c* q! Q) u7 C
set rand-dynamic 0
$ l8 C; p+ ?$ X! j3 z% A" Vend" h# q8 ^! z6 k# x4 F. Y
; `- F3 x$ j8 Y& N" X! k5 f$ @
to setup-turtles
0 }. t% ?1 ~7 S8 Z0 fset shape "person"
- g) q* h! E m" A0 Y, x; bsetxy random-xcor random-ycor$ I6 K( H+ W- {
set trade-record-one []
2 l1 g2 m. O8 w: ?$ s* r3 U0 s) I# @ O# }9 D$ s* c9 Z6 N% n i) d
set trade-record-all n-values people [(list (? + 1) 0 0)] ) A! Q; e0 O* n+ U3 z
; W- `6 {+ V# o _% Aset trade-record-current []1 w; K6 @. f9 r) b
set credibility-receive []7 Y& h; ?/ M/ V
set local-reputation 0.5
/ c& O, v$ \$ } N4 Z( @/ Gset neighbor-total 0
2 L+ {: ?/ O) z/ I Gset trade-times-total 0
/ V, r' z# h6 cset trade-money-total 07 q k! E2 z I5 q# p
set customer nobody( ]0 R9 k( g* m& d Y
set credibility-all n-values people [creat-credibility]) Z( d4 J* M" d: Y$ m$ T
set credibility n-values people [-1]
/ ~) ?* C" S+ A" w8 u8 H Z; kget-color! C( c. H: o1 i8 B: C" ^
" m5 a2 D8 f, i: g& v9 @end3 d2 e+ H& X+ @3 [
# M2 D. |6 P$ H
to-report creat-credibility
* U l3 h R" H# W+ @: a# ~report n-values people [0.5]
+ ^/ k* G4 p: z* vend
w* P" ]# E- w$ T+ V T
% X/ R3 |$ n( t* D& Mto setup-plots+ f6 D+ H E$ E
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set xmax 303 C' T% l q7 L' C9 N5 l
) b0 F+ K7 ?$ A0 E! _ ~% k9 X
set ymax 1.0
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clear-all-plots! K' g9 i- K" x/ c5 p6 k
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setup-plot1; O0 z- h! M/ ^- P$ `* M
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setup-plot2
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setup-plot3& ?2 c! T4 H# `/ n
end
( L0 i7 E9 Y$ |
+ g6 U: n( x5 X. G+ i;;run time procedures
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to go+ m, l3 N; k6 U: s3 F
, g8 u: A/ q3 d; g' Mask turtles [do-business]) I' \- k( u- f9 N1 [
end
* ~' E5 m# N5 d) B% ]6 y
3 z% t" V+ B, {9 ~$ n' w# I; gto do-business g: S: m5 X+ ?$ ^7 E Q" p: Q
, n4 j. o. }, I2 T" i
4 n$ X0 Y1 h3 t r. Z5 n1 qrt random 3603 _% D1 P) m1 y" t, K
5 X5 H6 e% S. q! |! Nfd 1
: v' K" p! N' O! h/ j
: D5 l* }/ G& ^9 N+ |! sifelse(other turtles-here != nobody)[
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set customer one-of other turtles-here% d. L: G$ ~8 _, q8 {( X$ T1 C
9 p7 _8 C& s$ }) `4 s, ^ I. \
;; set [customer] of customer myself
# x2 \, X6 }$ x' d; E+ K
% O, a+ z" F4 T8 bset [trade-record-one] of self item (([who] of customer) - 1)4 M# Z; S6 K. v9 @4 K8 o* S% p! W
[trade-record-all]of self& B9 r* K. G$ Z8 R+ \% m9 ~' m
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
& [2 K; @9 E# d8 ~1 g
- G- }% F# O$ G0 i+ @4 Q' u. Uset [trade-record-one] of customer item (([who] of self) - 1)
y& c5 r9 a8 O[trade-record-all]of customer
- u6 O5 T& |' T2 C( z2 i7 L8 u% I+ ]* w: F* V+ i
set [trade-record-one-len] of self length [trade-record-one] of self6 ? Q! i3 Z8 I( T$ _# Z( A9 N( O7 K
# O. O6 { q3 B+ _1 C7 i! P: lset trade-record-current( list (timer) (random money-upper-limit))7 e2 f, l- }0 f0 B: a3 \( i; |
# m7 N9 v; ?' w% P
ask self [do-trust]) \/ `3 D( e$ D4 l& i
;;先求i对j的信任度- q/ U+ ^" D C' u: J2 [
0 J( C( i2 E& p4 P/ p7 ^4 q$ dif ([trust-ok] of self)
& l$ D) C; }/ V% J, \;;根据i对j的信任度来决定是否与j进行交易[
& {, C. K* P. e! d$ {6 a, Zask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself3 q. q# u; P% _/ ]+ ^; i
1 V I/ j" W7 x( ~3 ^* n
[
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do-trade
, u+ x8 K. y$ C6 c; s, |
: ]0 v( e7 c! ^& vupdate-credibility-ijl; V2 N H$ y4 Y2 ?1 { D& S
+ z, X' J! `! b6 _8 V+ ?/ O: s3 {7 Oupdate-credibility-list
0 \6 K# x- d8 ?3 T; R8 V l7 @9 u& k& a- B2 _3 D
/ z- s1 ^+ X# u
update-global-reputation-list# M) @8 J+ u* Y ?, H0 ]/ Z
& a% w) p$ J' |0 o* o5 u
poll-class
# q `; s8 k% V3 P
% Y6 O; N& V- b# Oget-color+ F% o1 @; I2 G( c
, h4 F0 V. T3 d# J( z1 A* S]]
! A! Q# y- O0 y9 Z! o' `
8 h$ ?" w; c- {7 x# \;;如果所得的信任度满足条件,则进行交易, M$ X1 }$ Y' ]; V" k" R3 G
$ g! T* i9 a0 V( l2 ^
[
* r6 J0 ], J, V6 j( @% y U9 _* p. \6 Z* ^8 @) f( f' h1 r
rt random 360
, f" m6 \6 g1 {
; ]4 J/ p" _; p ^fd 1
# Y3 M1 }+ R0 y% ~" A# ^$ S% S4 f8 C3 P2 o
] G6 G2 M# J1 ^; e5 l
) W1 `' v2 [. Y) ]6 p# G: Tend
% K& {$ n) y: o7 x* Z4 J, Q1 }
/ M; Q( z5 }" m. z1 F0 qto do-trust 1 {& W6 _0 i, V' d+ g: k/ w7 Y
set trust-ok False
+ T: c, \' `2 X5 E1 V% ^, ?, m( U0 B% h1 I8 y
# n2 F0 {9 C6 F6 L7 p ulet max-trade-times 0
- H( x3 L, H5 x( ~* |foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]8 B/ }# S2 A/ n$ o# Q
let max-trade-money 0
2 t$ @+ _' {5 E- q: p2 G+ u5 aforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
3 Z2 D: _$ ]6 ^+ `2 M* R7 Rlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money)); l5 h* E2 t, X# l3 Y3 z: C0 [
! ?( g7 o4 q! g+ }0 q" G0 C7 v( e1 m+ i7 n9 d4 S
get-global-proportion
9 e' }# v2 S8 j w* a' e jlet trust-value
$ D0 R, x2 l( a) \& W# [3 Elocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
% z$ ~9 t. o4 C9 G7 Q4 m# F S; c& ^if(trust-value > trade-trust-value)0 a& [* J5 M& L- p
[set trust-ok true]" z+ V' ]( P! ^% ]8 ^0 b# \
end6 X. p3 I$ K3 A k
4 a1 |; O2 T. R; ~to get-global-proportion
- G+ Q( z* N0 ?/ }6 difelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)% z+ Y) {: u; B. m" N D$ Z$ \
[set global-proportion 0]
6 q+ {: b0 B2 y2 J" C( K: }$ F c$ D[let i 0
' @: Z8 l# I$ T. _% D: l9 R& rlet sum-money 0
; n0 ~9 ^1 S( ^3 e( q: F1 Dwhile[ i < people]" Q! _0 ^2 H9 o/ `2 C9 l
[
5 G+ | k) Z& z cif( length (item i& F7 n& B4 F; F2 p7 p% u
[trade-record-all] of customer) > 3 )
7 B( J$ y9 g5 j3 R4 w[
3 f" N3 x0 v9 m- {4 Y$ w) iset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
; [9 @9 ?$ Z4 @]
; H! o0 n/ `$ o3 G$ t$ q3 N]
& t0 c7 x) i; l3 ^" ^$ f* o0 ylet j 0; o7 d1 Y3 \3 m% n
let note 05 o' O! U: O5 @5 Z
while[ j < people]' H+ E) j, H( F8 e1 d
[9 P' e) ]$ l4 W7 X
if( length (item i' @# ?, p# N* {% W0 M! I
[trade-record-all] of customer) > 3 )9 i1 s# F6 d9 q! E3 e& i
[+ b/ ~& @ j$ |) B v
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)$ N* W% Y/ Y, T, v! v [7 O9 q9 X
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]4 ?9 U2 j! |/ `# @: K
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]3 s7 H9 v, ~" X5 R) n/ B
]! J/ E: o+ L( W0 F3 w
]! X! @& |- n$ f8 I1 T' U5 S* e
set global-proportion note+ |- R2 ^" ^, ]( h
]3 R% | k( C* e |2 g/ r% _& ]
end" D# J) M, f$ h. H9 Y
: F; j; D( Y# @
to do-trade1 p* `1 e- J, p! J+ J" e' z
;;这个过程实际上是给双方作出评价的过程3 K( o( |8 q$ J% H6 [
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
* I/ D" _$ D0 `. ?- Z$ qset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
# M6 X4 V" S5 v, R/ aset trade-record-current lput(timer) trade-record-current
/ {1 N& S6 f+ ?8 P" L7 l;;评价时间
+ t. a1 s* p; {$ z0 { hask myself [" H) A5 w( F1 E) N6 `2 H$ g
update-local-reputation
W$ L4 \- x$ |# C" i5 k# vset trade-record-current lput([local-reputation] of myself) trade-record-current
2 j" r: H; w6 h! Z]
; G* C7 S, L- hset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself- P' z/ c( O8 M* _
;;将此次交易的记录加入到trade-record-one中$ D2 c% J6 Q) r8 a S; |# R$ [' y
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
) _* c0 {$ U3 N- ~* X' j, \let note (item 2 trade-record-current ). g; f" d. \% m2 h
set trade-record-current
1 q3 s! `- c6 H9 N, m(replace-item 2 trade-record-current (item 3 trade-record-current))- G1 H5 {2 C4 x: r( k1 d
set trade-record-current4 |. f, R; R* ~6 t
(replace-item 3 trade-record-current note)
\9 a+ h0 A2 o) c8 v
! `4 T/ r6 R' [0 I& P% _6 B# c7 j' p! d. w0 ]) x
ask customer [& O# Z! h& X H# t
update-local-reputation6 q |: Y4 i w8 k; f5 R
set trade-record-current% E8 E R) R9 E: L4 d+ x
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) 4 ~' K: q+ x8 f) N& B
]
% m- e+ m4 T, z' }5 }1 K8 j5 m! ?/ K# C4 S# P
8 H& d$ Y; y7 A3 i
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
2 O, y- ?$ p0 ^; Y0 j T. @+ B! g( r- Q1 J5 I T; Q$ S
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))) c1 h. G3 R Q# v
;;将此次交易的记录加入到customer的trade-record-all中
3 ^4 V9 |5 g. f* `/ `; i( D5 ^end5 Q8 ^# a9 t; x! ~5 C
2 y ~5 n* \. ~9 Kto update-local-reputation& ]- B K U& _
set [trade-record-one-len] of myself length [trade-record-one] of myself
( H# N, M: H. G4 ]
' r7 g. t2 t7 [3 d! H1 x
) X U6 o8 ?( t# };;if [trade-record-one-len] of myself > 3 4 ?0 ^& U, @ y
update-neighbor-total6 N9 M! x% F9 _
;;更新邻居节点的数目,在此进行% @. _* D4 G5 O" M% M
let i 3
" w, ~; V! S3 F5 Q3 c+ X8 A+ t/ Jlet sum-time 0$ T& ?) b* X5 } p8 L2 d, a0 J9 Y! B
while[i < [trade-record-one-len] of myself]5 t, L) S' H6 @! ~/ i
[4 L8 N- k# W2 S: F1 f+ h
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )( S5 f) a; d; h+ v
set i3 n5 J' `' x/ B i6 {% g6 }
( i + 1)
3 X+ T( r& w: ]2 }: J% s]
& h, ]( D9 j( N; F; ]) d$ rlet j 3
/ R, J/ u8 q! u2 y- i0 z8 C) [let sum-money 09 q" X5 ~# j% h: L% m Q
while[j < [trade-record-one-len] of myself]
! t8 L# o3 P6 i( O$ q[
* c) e3 j3 o6 {5 Uset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
) M' o: Q: X2 t2 n' Q2 ^- ~3 nset j: m5 p6 ^, B4 x- H P- H- m
( j + 1)
, Q( y6 k. K* z4 w" Y]
6 z; }, |' C, F. }let k 3- m( t+ l8 E9 B) R$ p
let power 0
9 [: ]$ K: K; ~* Blet local 0
1 W0 ^: X; B8 L M, P0 Twhile [k <[trade-record-one-len] of myself]* A9 e9 f( H f% w
[
5 w! E, P% l, G: o) t3 \* L( Cset 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)
$ }8 g) s6 `9 c; h$ H4 }* _" Qset k (k + 1)
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9 t! S+ c6 R* v' Yset [local-reputation] of myself (local)
4 Y7 ?; M& }' _0 b5 G4 }3 Uend
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to update-neighbor-total
- f. X8 |# T1 b
: ? H. {; `9 P& c6 dif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]0 N6 Y A* O8 i4 I5 o* h: o' E9 R
& _, {- E+ P2 O" l% _5 g5 |
& \) u9 ~; t$ n/ f0 S1 h$ ^end4 k( s4 o' M! y* e c1 E
, A2 h- q3 J0 n
to update-credibility-ijl
5 n0 V: ~/ e5 O" s, }1 [+ A7 j, ^( i" _0 P* x4 n
;;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 N0 q% L: R* M# V; |
let l 06 Y$ n* ]" @$ Q, J# i$ S! d
while[ l < people ]
- ]3 @3 X- A4 k% B2 m- \;;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
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let trade-record-one-j-l-len length item l ([trade-record-all] of customer)- l7 q5 g4 ] M3 q d* \
if (trade-record-one-j-l-len > 3)
( L% j. |$ E s# V2 f- 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
. Z8 Q" Y9 x! ]8 k+ Klet i 39 U7 ~1 M7 J: X: O
let sum-time 0* g4 W2 \1 X" r7 U; O" \* f% A. \
while[i < trade-record-one-len]
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+ M2 K# F7 L' ^( C5 p; M6 S. Rset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )5 h5 X) g0 c: S9 U9 j
set i- B* Y- _1 k' ~; U6 |! B
( i + 1)
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let credibility-i-j-l 02 w9 V" _0 e8 f# H% r: K
;;i评价(j对jl的评价), b3 E$ |. q, i3 r% X/ s8 x
let j 3
( \8 {! i* h: b+ W/ |; t# klet k 4
& p2 o9 `1 _9 r4 `+ d2 Mwhile[j < trade-record-one-len] k5 o+ P% P' \" Y
[4 x# t' J( M( V! k3 s6 E% t
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3 O/ K% u% F3 ^* y, I
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 Q% _8 C* x% g' Yset j4 c" |% O# [3 D* j$ U
( j + 1)
, J: p0 _6 t+ b+ s# b& j% r+ y]
+ L {' x; {% _5 P! ~) L* kset [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 ))1 s/ B8 d+ w; w+ l, g* A$ e: [& L$ F
6 u4 i! `$ M2 d* k( @: s' s4 X {* A m# w# k+ f
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))$ O; X' h2 m7 F" W6 r) f0 r" f0 `
;;及时更新i对l的评价质量的评价0 a' E8 ^- ]! Y- D& r2 Z
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
4 a* K" @( _: }0 t& O$ U; K- Yset l (l + 1)8 |- J7 e. U7 f6 A5 n
]: s" P! [# O ?: @
end
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1 K3 x) d* b5 c2 t k- u6 bto update-credibility-list
A" K9 r `8 W1 c8 Blet i 0
/ B, W* t7 l8 Y% ?- qwhile[i < people]4 X' x" m. ?' Q/ G6 l! H
[
5 x i' r) l4 R4 H( \4 Ulet j 0; @0 d+ [- Q0 G
let note 06 l2 v; b5 E- n
let k 0' }" p$ A1 U. m. R' |
;;计作出过评价的邻居节点的数目, _4 @! h' @: u; k+ U& Q+ [1 Z& O
while[j < people]% O) u1 p" H8 e$ i2 v# h4 l8 p
[
6 T! Z' d1 a+ K7 }8 {if (item j( [credibility] of turtle (i + 1)) != -1)
" Z- D7 c' @1 `( A* K q6 I. t% l;;判断是否给本turtle的评价质量做出过评价的节点
8 ?' @; H8 R/ {[set note (note + item j ([credibility]of turtle (i + 1)))( c, _0 {1 E6 T3 h p P- g: u
;;*(exp (-(people - 2)))/(people - 2))]0 I6 I; r4 [+ N
set k (k + 1)8 Z4 ^# w8 Y7 V
]3 E, e4 G: k3 D) a& n5 i8 Z6 I
set j (j + 1)
! u8 |$ a+ u) d! `+ F, ?* V P]2 X2 o- _5 F% s
set note (note *(exp (- (1 / k)))/ k)
8 i& m' _3 c* c5 g# z. @* qset credibility-list (replace-item i credibility-list note)
6 M6 E5 a) G- w: {# m3 d3 fset i (i + 1)
3 d S) X5 \. O+ o]
) q( r7 ^8 @% X$ V9 Wend/ u4 O. T/ T, m2 l7 p, ]; ~
! D0 B# X. Y, a) P9 Z# A; z5 q) Y: w+ V7 O i
to update-global-reputation-list
/ N7 V+ a- z- q) Y9 t6 Rlet j 0
9 @+ B4 z. E! k/ v% r7 Q& g2 Uwhile[j < people]" t! Q) ^1 j3 L- V
[2 [& o/ S! H. D: B% R( c# W3 `
let new 0
2 B q/ `& k) ^;;暂存新的一个全局声誉
- \- {0 N4 C) C: f5 B: ?" {let i 0
' x1 e) j k- V2 Slet sum-money 0/ I9 y$ I& K& B
let credibility-money 0
1 c/ Q! Y# G2 d1 P- O; w, K2 {while [i < people]
, _* c9 h4 y4 N& F[
$ z" S2 Q4 F* j1 j5 \( X6 k6 }set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))% z# D# p! r( i1 n# d1 G
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
! Y, Q* f# D6 F( [, aset i (i + 1)) x. t+ Z0 y' }- l4 e( Q
]
3 u1 E \( N3 h7 Q2 R, r; glet k 0# B/ s z4 ?" L
let new1 0( G; t* o& Y! H, Z6 }8 z$ p: @$ q
while [k < people]9 a5 x! ]0 U( Y
[' Y4 O. l9 i& b$ j# Y v: D
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)8 w6 W/ p: z7 \
set k (k + 1)
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set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) + m# `% N: H$ O- s
set global-reputation-list (replace-item j global-reputation-list new)
) }% m$ P0 l2 E4 W1 j4 D5 Xset j (j + 1)
9 ]! o3 W6 b7 A], a2 G% G" b4 [. J% v8 N: m3 W
end+ k3 [( [& S3 h; Y
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$ P8 Y/ u- H2 T7 S/ K3 D9 `7 i: F M* R+ I' p
to get-color5 u5 ]) P' y& ~) K% `" g
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set color blue/ h' z1 v6 l; g$ B- a0 [+ @5 O( V1 {7 c
end9 R: m; O0 e& C. C- L: A# g; }
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to poll-class7 X; N8 Z# q+ |8 Z
end9 d$ z V) |, U" Q' n
) h9 C) S/ R, Zto setup-plot15 B* R/ ^$ o. y9 _1 V
5 ?* B4 p( z" F2 m& N9 Hset-current-plot "Trends-of-Local-reputation"2 e. ?& C/ T% e* n! P3 ^4 P) r
9 d( A& E! r0 d, p# c4 Oset-plot-x-range 0 xmax
+ ^7 m( i* j5 p8 w7 m) ?
9 h; y8 W" q4 Wset-plot-y-range 0.0 ymax" C& ^& W% z! h; m8 d
end$ V0 P w% _3 ^' y7 a) M2 x8 _6 T
: v% S: f. A9 ?. L! q1 O) Oto setup-plot2
/ m, y$ Y5 i( E. t7 ~" t6 e4 H( C9 V- y
set-current-plot "Trends-of-global-reputation"
$ T) W- ~( L, { h" b: h- b& n2 }
p9 x9 q+ c% b& Zset-plot-x-range 0 xmax5 T" f% x* L \ ~
) z5 h* w% _$ Sset-plot-y-range 0.0 ymax9 ], x1 {9 w8 H* c! [
end/ y7 L2 F2 t9 S+ Q; K: g
0 J9 g6 q+ Y7 ^2 n
to setup-plot3 U1 }7 e5 ^' \
" }. i& B) K$ r) q* `9 \set-current-plot "Trends-of-credibility"6 |, m& _- K5 [2 J5 E& G
' z/ Q/ ^8 P& p/ Y( n8 \set-plot-x-range 0 xmax
" J+ f% M. d) ]; w( y) o9 K$ v: S4 m& s0 Z/ n z2 G/ H6 \9 y
set-plot-y-range 0.0 ymax
/ J. }& O. d6 n" Hend
5 w; M' ~. x1 \2 q
2 G9 k( Z1 z# K7 ` d0 K7 kto do-plots( v' n* E6 `% c
set-current-plot "Trends-of-Local-reputation"
$ K! A" u5 ?- r: yset-current-plot-pen "Honest service"$ C% V, t! P7 U2 ^3 u4 z6 `8 S
end
% ?- r( P) X' \+ p; P: q4 s8 X: ^# R" G0 T8 U" P5 O
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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