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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
! h( x/ E3 R) cglobals[, M% v ]/ p! T% n1 U( {
xmax
]) W$ Z9 b: A8 b7 F! ~ymax
% T) R& h1 [& S) H; X. g( C- n$ K) Hglobal-reputation-list7 {9 u/ w' `* Z$ h, t
, E0 O( r) F& l" ~) g: n( N
;;每一个turtle的全局声誉都存在此LIST中9 w* F# p3 N! F
credibility-list( ]" V" m( e( s8 L
;;每一个turtle的评价可信度5 E& W6 m$ a' d/ a
honest-service5 x0 u2 q6 Q4 @# h- P/ a0 V+ R
unhonest-service
: {! N* i7 D0 v0 E5 G2 h1 H# yoscillation
% B+ a5 t* i+ |' K3 s; i8 |rand-dynamic& B9 }# W* l9 P& U
]! }/ u) B9 @) T( A, ?
. [$ F! N3 f, V4 {, j7 Hturtles-own[
. G* u. m8 [/ o5 E5 Z. [" Otrade-record-all5 c) @! C) V8 w, V: y. ~+ b
;;a list of lists,由trade-record-one组成" j& V4 H/ U5 M" b I% q) M, I
trade-record-one
2 S7 {# F c9 B2 S4 }8 _" d;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
0 P6 _2 @: U4 d8 _" ?6 h( N! S
# C( T! ?2 K, ^: {4 d;;[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]]" ?0 u2 B1 w% h- x- u8 f
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]
+ E8 W& D2 l! ?7 B. ~6 Z$ gcredibility-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% l8 {: K) E; _! B7 }+ G
neighbor-total
* M8 W2 s8 @& v4 z# D6 B; u( T;;记录该turtle的邻居节点的数目
6 K+ x/ H, O B Utrade-time
/ ~" s3 }" E" L6 B! z6 y% V;;当前发生交易的turtle的交易时间
' D1 W% y& ~* J' R+ m0 b' C1 Z, lappraise-give
8 _5 E# V+ n0 F+ z- x4 L2 S;;当前发生交易时给出的评价
9 G. q8 w) [) n6 A* `appraise-receive C3 w' p! K4 X$ f7 ^* ~
;;当前发生交易时收到的评价+ q$ J* Q" w7 B# c" E( N/ W
appraise-time1 q! q% o& R1 m# Z1 I0 k5 q* f
;;当前发生交易时的评价时间' U7 P4 T' J" h* G8 B3 o
local-reputation-now;;此次交易后相对于对方turtle的局部声誉* x9 R/ K6 L3 a3 l
trade-times-total
$ L3 p5 L& D5 q2 n" J O;;与当前turtle的交易总次数
- C+ V* i! U- E6 B% ^# Itrade-money-total/ r) \6 z9 Z' Y1 B& B2 R8 }
;;与当前turtle的交易总金额7 o8 m9 u9 b% M. ~, O
local-reputation
+ ]; g. F: F" ~& Z# O( ^global-reputation* ~ V6 l u4 O% A) N: J% E1 n
credibility
/ B8 D# `: X, K+ U% l5 o;;评价可信度,每次交易后都需要更新0 A3 f. f, s. p5 j, o6 C
credibility-all
! y* Y& f% b: v3 X;;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
" A( s( B* Q* e- O9 U) r2 a3 I& U
;;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
3 I3 {9 N. A# [7 Fcredibility-one
8 Q* x! e5 w- a( O2 W6 C q;;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0 y( S3 o1 G$ L0 A7 `3 {! R+ S1 K
global-proportion
( W# R( Q: ]9 {( P2 L1 Rcustomer
$ R- v C9 X, kcustomer-no2 c" E. Y4 t! i# v1 L
trust-ok3 ^: X8 m: U1 ^5 m# i) g
trade-record-one-len;;trade-record-one的长度
) E: i" ~! ] t! y& j$ o- N], L4 [. M- F* d$ U+ S
+ f2 \4 c8 M: Z: U
;;setup procedure
, u, i9 @, N" c; E) @# I7 v* |
. ] p- F- x: s2 Bto setup
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. I2 d s* Y U8 G/ s( jca
- G6 l) I3 A7 v( q9 |! k
0 L; s! H$ P+ F& s- I1 }initialize-settings! E0 N1 c1 N% \% o b
, y" X% K+ ]! Dcrt people [setup-turtles]- N3 |% y h Z. M
3 e+ ^6 ?& S# D$ p
reset-timer
7 i8 @5 C- P- d8 i/ a' P4 z9 f7 r- P- f0 {3 B( M; I1 f# |
poll-class6 e0 x4 K& z/ ]! _
/ a- ~- Z& g: X! @% N: gsetup-plots6 V$ Q- {/ @8 _
2 c: E, a ^9 {& ?2 \do-plots0 @" k0 c. h' e& U# u7 T9 F% d s
end
; @8 z3 C, x! A$ A' S; b) m# {8 ^, v7 k( y9 U
to initialize-settings$ ^8 K: P) r+ ^7 h8 K) [# ]
$ D" E& W7 t ^* Q$ qset global-reputation-list []4 h; a+ m" ]8 t( l4 G
- u, S, @+ _, V! @) wset credibility-list n-values people [0.5]* C+ ~% N' Q0 @& \" M1 v
; ?& w0 J. j0 `
set honest-service 0
8 }* }- j9 f' [' ~
2 P* o% i0 a* \ Z( q% ^set unhonest-service 07 y4 x+ ^2 d$ m/ B. X$ @, _1 n
: a/ g( `: g* r$ w3 A2 x- m- z8 U0 `set oscillation 0
1 V4 N% S2 H' u5 U9 F6 f2 o3 a9 ^7 u4 D' e9 p4 ^
set rand-dynamic 0/ W: x7 D, b6 H e, p
end
5 L1 x& X! w5 X# r' c/ i" i% @ S6 _9 j) R- _+ K, T7 i
to setup-turtles % A& V) `0 |4 S. E" H/ G
set shape "person"& v2 X( U4 y. M; V% T, t$ X5 p
setxy random-xcor random-ycor# b x( [. I* q, B0 v
set trade-record-one []
5 V, M+ ]2 v/ }: Q! ?, I; \2 h
2 l# T! ^" Q. ?7 D9 M% A/ {set trade-record-all n-values people [(list (? + 1) 0 0)]
1 ^5 `3 f: Z# K$ ~" `6 x
% F% ?8 y2 w9 ^ V7 v& Iset trade-record-current []
# S0 u6 p+ p8 p2 T: Iset credibility-receive []- y( \" d- Q4 V
set local-reputation 0.5
0 M% P7 x5 N( v7 Yset neighbor-total 0% Q6 h& I, L" k6 P9 \! T# w+ @
set trade-times-total 0
7 N* N' v; j4 E! U8 G! {2 h, D7 xset trade-money-total 0
5 a) j, X4 D0 N0 R6 z v& ^) {set customer nobody
5 P5 t7 r0 G u. _. n# T) Mset credibility-all n-values people [creat-credibility]
/ V/ J3 U X( v& jset credibility n-values people [-1]8 X0 K0 q: D7 Z5 O0 K! J; M$ p# e
get-color
6 I2 m0 U# w' i
) V+ f( d" Q! e- ~, V% m& Eend
g) i! d& x8 F. Q' W( X
6 i& ]$ L; i0 o) @/ [to-report creat-credibility1 B+ M4 S2 P8 d+ H4 x
report n-values people [0.5]
, @) f6 j2 Q0 Bend8 C3 u3 |' z+ H1 q% D& X
X9 x5 |) o/ W1 ?
to setup-plots
4 n5 a( d" O1 [* t1 e9 a: @! ]) V% B# g; Y
set xmax 30
. t6 n, {) P+ N; a; \* G
9 w1 l2 p w3 Dset ymax 1.0, W9 T; c$ Q% {; Q+ y% T- H3 l
5 F: g% f2 H! n0 hclear-all-plots" c3 w: ^ ^/ n* [& v4 Q5 B
, Q$ o, h1 [! t' @9 J
setup-plot12 ?! k4 V2 K _; }. _+ X) c
1 r5 E8 S$ ?% R4 @- T. c8 Osetup-plot2
$ P7 n1 C0 q& P9 ?: f4 S g( C x/ n' A8 p. A$ n6 a! Y
setup-plot3
3 Q9 c l7 D" o; kend& C6 i, J, |. }- F- {. `
/ A" g& x9 p* K! T% m/ ~/ H
;;run time procedures
7 y3 n% u# w( W# v B/ G, g% |3 b
; {8 C6 U9 U! w+ l/ p8 Vto go
! V& k6 C; A% r; M8 T0 y" O1 \8 S3 O3 K
ask turtles [do-business]- ]* r; v* @& C; p* K3 j( P
end7 l. T0 e3 x# J
; e; M! k, j+ J: O
to do-business
9 `% i! _; h" O6 S7 W. E% g, }: x: x* b& a' C1 n6 t
( b! b5 e2 i# I: u/ l8 j
rt random 360
5 s4 e7 ^+ n7 R6 ?& b Y6 f) n8 F) F' S
fd 15 ]7 H% V$ X: j' Z' I6 x# q0 `
! Q* ^1 O* K/ W, zifelse(other turtles-here != nobody)[
# `3 ^7 J% D$ _$ f& \: s
0 r7 o! u5 g6 l7 wset customer one-of other turtles-here
! x w# l$ P! T2 G1 S" `5 m
1 } h0 } M9 @$ @- g) s;; set [customer] of customer myself& H* [( I7 v3 R" h2 Z
/ h, l8 p& n i- D
set [trade-record-one] of self item (([who] of customer) - 1)
7 y. V" q2 S- G' U0 v[trade-record-all]of self) I0 n) a! p, ~1 S( y
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self. z% z! l- C: |3 `/ l
) U) @+ { ^) v0 hset [trade-record-one] of customer item (([who] of self) - 1)
: K- s) M/ N7 n+ ]' e[trade-record-all]of customer
" T" u2 ]9 R+ G- j: p+ T$ H
, R2 m ^2 p- q: S! K3 \. z* M! Lset [trade-record-one-len] of self length [trade-record-one] of self7 m8 l7 f8 P% X8 @' X3 U
: p' D2 B, y8 e3 t4 }
set trade-record-current( list (timer) (random money-upper-limit))
6 Q$ z' B' z6 r( Q( t9 n- \, {: X) h2 U1 E( M4 E
ask self [do-trust]. @) k, I4 K2 {: L
;;先求i对j的信任度" h) j( q; D! d( [
2 W. o: S% F2 ~1 K! m
if ([trust-ok] of self)
" ?1 a0 x- T6 K: q9 t; j;;根据i对j的信任度来决定是否与j进行交易[
* @ Y2 I ~% ]1 |, O8 N2 c5 H( task customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
) m' z2 |8 H% J3 ^" Y
" B$ e* K; o$ }; M[( u: X0 l6 i0 d: `, [
9 ^* f$ m+ @& q" S6 [3 _+ g/ I5 {7 N
do-trade. d& T0 X/ Z5 }2 Q
# {! u E/ K3 ]1 q6 b, w
update-credibility-ijl
) W( @0 a7 o7 K$ R; `# T7 N4 a7 s$ o# c' k0 h. I0 f( `% r
update-credibility-list/ j9 V1 m' d( T3 g% N1 v5 s
" ^0 z- _9 c5 D2 z. T
2 S8 p3 |7 A" _
update-global-reputation-list- z0 d1 {2 S2 p6 R
% q/ i" l& Q5 R% hpoll-class
5 W2 U( e+ f& W8 `* S* N% f7 F
2 ?. r2 W7 X" y3 a) {1 Z7 G: Hget-color
5 c! N1 E0 a6 b; y/ I
c; N0 _8 z2 ~* i/ O]]
# x4 F- X9 G0 h
1 k+ W Q* q, I) F7 q;;如果所得的信任度满足条件,则进行交易
; D- Q" \5 R9 t- B% O1 _- F* l7 f- w: J
[ H5 z( [( c( c! v- k/ N
* b0 ?* e& \2 A5 trt random 360
# v% X L; n2 g7 T
6 E# U. y# b3 B* C& I' ~fd 1( V% U \( _% m& t+ y& E
! W$ N. `( g1 F7 S( I4 t9 c
]
5 g1 c7 u4 z" R+ I* |5 P: L& Y0 y" ]- ^3 w
end
2 h' b$ B A5 e( Z, J' I7 z
7 P% G' f# o1 T+ vto do-trust
. @7 p% l' V' E* P+ Dset trust-ok False
- F* n7 R0 K- n. `; f0 T
4 l/ l, S- G% K: M: c4 y T8 y' f) a
$ b/ F9 D# x& y7 M5 ]) f* G( \! klet max-trade-times 0$ p2 l( l+ F/ s* x0 _6 j5 d
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
R( z. M& N1 r2 [; t# y' p3 M1 llet max-trade-money 0
. F" r2 j* c( T- A* v2 w. V- V! yforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]$ H" r2 G% \8 _. S2 ~
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
9 _- b/ j, u: M& }! m- t
, J9 M/ k: ~! a: s5 ~3 k# ]% O- x* I! n# P8 ^6 o, t
get-global-proportion8 f/ H% p$ p6 z4 |+ q
let trust-value
. q' U: i5 O! D3 G+ Flocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
# c m# d J% o. X( o2 h2 K! Aif(trust-value > trade-trust-value)5 ]7 F, d4 Y2 V9 M# h
[set trust-ok true]9 J) l. w9 m" P; P. S
end
) u4 k9 n) u, Y. ~, k* f3 h
3 L( V% w+ k# E% V# Bto get-global-proportion
: f: j0 u2 j2 p( C8 V, mifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
# c6 |/ S1 C- L0 F! c0 S q[set global-proportion 0]
, H' A! m/ n1 v& [: H" d" H9 |[let i 06 v5 G$ V3 f `: D3 V( U( u5 F8 M7 o
let sum-money 05 D+ A# s3 m7 E! M
while[ i < people]' t2 R% d" C- K
[- {# a, `& C2 k
if( length (item i R3 t. I d- Z, L& l% [7 r! F
[trade-record-all] of customer) > 3 )
* Q$ a$ j" P, W4 t5 a[
, e; J1 y6 _* y d: ]6 k( qset sum-money (sum-money + item 2(item i [trade-record-all] of myself))& i& J6 j* N& ?- x8 ~+ @
]
9 ^2 }) H- W* _- \( {- p]: y! f: |, Z+ C% ~+ F
let j 0+ C5 R% E# j& b- v+ f, U, j! A
let note 01 h/ K$ Y( Q# L# {! A
while[ j < people]
3 ^, ^' P& X F+ r$ G& b[
9 _' w/ O& U3 q8 Y( kif( length (item i
. |* P! N7 s _: B% j) T7 B[trade-record-all] of customer) > 3 )
& x8 R b: p( D[
$ Y! @; X5 b( d& vifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)( S. Z1 u8 ?. S" C+ |/ z
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]8 h) [8 r# T# r: Y& k& c0 x
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
3 a# v" A) p( Y: v; V7 m3 g]
% q: o- r9 h* A( ~8 M3 \- d]
: K8 r1 ~9 G3 Q, d1 D1 H% B+ k, y- {set global-proportion note
5 x) ]2 i8 l& W$ a]
+ J+ t0 a5 G/ _0 z7 q! L! O0 Z/ bend
5 Y4 `& d ^( ~; w# e2 h% i: J$ a6 R, I7 b
to do-trade* C: [9 V0 N5 [. Q3 ^- K6 C4 \- m
;;这个过程实际上是给双方作出评价的过程
* p) [1 z/ K2 vset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价 o: @$ }+ Z3 i6 u' w( T N
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价& k3 J, m1 Q: x3 c8 a; ^
set trade-record-current lput(timer) trade-record-current* S$ m7 V; E3 _5 Z9 e% q
;;评价时间
z' ^( v- v- B ?ask myself [
; d' p& x) m1 c& [; f+ |$ dupdate-local-reputation
! ?9 b6 I$ {) F; j- L5 }% S" K: ^set trade-record-current lput([local-reputation] of myself) trade-record-current- Q, g, }" i6 Y! e
]
2 |% o+ B8 Y: Y, H2 @set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
3 R7 e: e+ k# h;;将此次交易的记录加入到trade-record-one中
. ^) ~2 \8 I! @4 R# k' Wset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
, [: ?0 Z0 Z1 k8 N& Hlet note (item 2 trade-record-current )
R% k2 d" _* b! Jset trade-record-current6 z" [; q7 w$ u- ]8 n
(replace-item 2 trade-record-current (item 3 trade-record-current))( i7 A- j, G( O/ y7 e9 p
set trade-record-current: O; W' a- i. a% ?8 A" k
(replace-item 3 trade-record-current note)" [: E/ ?' s/ E" b( q7 L1 O
( v8 b4 G7 \$ d( f& a: p* U
/ G' r2 G r2 Y, F6 \' o) ^: h& ]ask customer [, X8 z3 w: G' t' U
update-local-reputation9 g" g8 I; _3 \' @2 X8 S3 S
set trade-record-current
# z% t7 A" t D8 [& B6 a! a(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
) }2 p" K6 l; p. f9 m5 C6 q]
/ {- y# H2 f* M/ c! y
' l) R4 w' N/ _' h9 Z, B- |( ~( m9 f9 @/ P9 ~* Q
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
1 Y+ b: t. u- H% U# n( V) ~7 Y8 z* v3 P) j- g2 K' R
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
+ M# f Q6 ~( M9 ~4 g; r3 ]* e;;将此次交易的记录加入到customer的trade-record-all中: s$ p4 c1 p; S
end
9 w$ T# @, V, \8 D; l( n6 ~9 F+ b* p! s |
to update-local-reputation2 Q) x- W( r3 A, I- S. I
set [trade-record-one-len] of myself length [trade-record-one] of myself
3 W5 |$ S5 ]3 R* _7 |, ^0 L' s' L8 r7 r$ |
2 @! l; W, c* h7 [( H" ]$ \;;if [trade-record-one-len] of myself > 3
^6 p8 b9 H6 {" G% i' A& i0 rupdate-neighbor-total2 P) M2 @! o8 E* s+ ]
;;更新邻居节点的数目,在此进行
% u$ U5 L7 w2 p3 E- M. nlet i 33 t) b/ z; q" p q* n
let sum-time 0, i8 Y" {4 x1 `, H% G* _) ~4 v5 D
while[i < [trade-record-one-len] of myself]
! b# [7 `+ L) o6 H[
/ U5 G0 J0 V1 Q$ i: ^4 R$ jset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )( m1 L3 P3 X+ F( Q* }
set i+ H1 D, }, Q/ \1 D1 f
( i + 1)7 N) r. H* [( q, t4 h
]
: p' k: ]! d* ^3 a& I2 Ylet j 3
/ L1 r# d' j4 s8 Y2 `let sum-money 04 p" [1 A( W: w& M' x/ e( Z
while[j < [trade-record-one-len] of myself]
) E8 ?7 T- j- y* Y# k[/ t2 @: G; Y0 Z8 K4 Q: \& k, G. ]
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)2 p. j6 K# i, k- F9 }" z
set j
a" `0 t" _2 f) [; `( j + 1)5 \4 f0 r: M w
]
7 X4 z! }7 s$ Y9 H5 q5 Ilet k 3. N5 \) m0 d/ ~& K1 `# t6 x& p
let power 0% Q$ D& K% A: ]( }! }
let local 0: d& W' _5 q4 b$ F' }
while [k <[trade-record-one-len] of myself]0 S3 H, X# g& z
[- v, E' V. Y( A4 f. D+ S* y# [8 o9 \& W
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) . X4 G. [# i: `; `4 ]6 U# {5 w& b
set k (k + 1), Y+ A) l3 {, h3 j" m0 l
]5 I l; C6 ?& c4 L% B
set [local-reputation] of myself (local)
5 ^( i1 C6 F3 h0 A. _2 _end
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to update-neighbor-total( a P" ~# t4 ?7 D# [9 \, @
! j& I- ~& C' G/ h' S0 E, H
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]6 M( c% Y% z+ K- _
% s# r( ]: n$ m, o) ` K7 X
# ~' Y* y1 U4 O3 N* z2 Bend
; [4 H; q1 m! c. [7 {/ u4 J0 D' i1 T) w" Y& ^
to update-credibility-ijl / J/ H% C8 N. ~1 l0 ^& _
- W, k, D! |1 t5 b$ J1 C;;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 V' v% x( f8 R' K4 L! s
let l 0
) V$ o; O, I: Z. h0 M1 ^while[ l < people ]/ k& z* b) w9 F' H$ p+ `6 k
;;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
& A) Y; ?7 V9 {3 I[
" Q# z# | ]8 j0 ?/ a4 R6 H- ~- @0 flet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
7 c4 s, O6 }5 t" _6 s8 Y! b4 Yif (trade-record-one-j-l-len > 3)2 M. V; G# R( 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- T4 V1 y/ B6 ^" j1 O6 S; Z
let i 3* p/ Y2 h( r; s; F3 e
let sum-time 0( N2 T- I! ?: w+ }1 g$ ^
while[i < trade-record-one-len]- L( F3 F8 Y/ a
[) M }- `% m* m6 N7 N& v
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
( k2 c/ B6 B/ W; u: Wset i
0 g- t$ [. i% m( i + 1)
% Q1 Q: p! W' _3 G! }5 e]
B4 s" @ |, b' ~9 ?+ P/ ~% zlet credibility-i-j-l 0# r1 U8 c) q) Y- S3 ]7 m9 u
;;i评价(j对jl的评价)) U( N) a# x; J3 k: u0 ]
let j 3
4 E0 ~4 f9 ~$ { Z' P5 f ^5 Vlet k 4& M% l+ t* w9 m" T
while[j < trade-record-one-len]
* @. O- L/ D; y2 u- i; a[6 U- B# |) P5 ^ l
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
# B ~) c( m/ rset 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)
* t# F5 t& z* u+ N% b: w4 n7 Aset j0 f+ _! r- G. @: G
( j + 1) ]$ L" ?1 {6 |, v/ ?# U+ Z$ m5 A
]. Y3 W( n4 T! m+ h
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 ))( ]) y- u' Z- s. l/ ^& A, G0 P
8 ]% }- F& {3 X F5 G
( [* G8 _2 {, olet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
1 M9 Y2 n) B4 I `, h;;及时更新i对l的评价质量的评价
/ ^* v* t4 I9 M# h" \7 H! vset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
( [5 K. Q; m+ T2 ^ B |" Tset l (l + 1). j0 k) V( [5 j s) L% X) w+ W
]- ^* { X) j, p- `" `- }. N4 M" T
end3 s. W- N4 O9 A$ {0 D, V
7 }, K3 Z% e& c: d( k
to update-credibility-list
% O# L' F& ]/ ~let i 0
1 h9 ^9 ?, U) Owhile[i < people]
3 s1 r- Y( O2 a" W& B# ^[7 r" x9 z; o1 w, F4 S/ I
let j 0
& x& r! G( t& Z" a' f% Plet note 0
, [' |5 [+ P/ G [0 y* u" Zlet k 0! s- n5 X! m" `6 p
;;计作出过评价的邻居节点的数目
, e8 [- ~4 I+ u$ ?8 M# dwhile[j < people]% ]2 O: c: _& |" y/ A. h% q
[
8 s) e" H$ _ l- N% \. ?# Bif (item j( [credibility] of turtle (i + 1)) != -1)
- D+ K) Z' _5 u9 X$ Q% h2 V1 ~+ M;;判断是否给本turtle的评价质量做出过评价的节点
: g+ o2 n# c; G4 v. D$ `! c[set note (note + item j ([credibility]of turtle (i + 1)))
" l; f1 s6 o' Z6 c2 }, [;;*(exp (-(people - 2)))/(people - 2))]9 Q: S _: k6 K$ e$ Z6 d" P& V8 X9 w- m
set k (k + 1)! n! _2 d- h |* a! k- E- n! A9 e
]6 l9 e( f% B( N7 @/ R: R' c
set j (j + 1)
+ Y- U5 v9 r/ @' K% |; B]6 f: q% \, p& D* s6 |# V
set note (note *(exp (- (1 / k)))/ k)
# G( H: X9 V# h$ ]) `1 u7 J, Z5 mset credibility-list (replace-item i credibility-list note) B) p& z! g! G+ w6 K9 ?! V" q
set i (i + 1)- K; d, i( r' i( r) @& Y+ P
]4 }+ G7 K4 Y; |! u1 D+ F
end) t: M8 O8 A0 p0 r' k- n1 `
$ v }9 o8 e) ~8 z) _5 wto update-global-reputation-list
5 Z( p/ w& i0 X, ~7 M5 p8 }' Clet j 0
: o5 q( S' G1 ~while[j < people]- S9 L# Y' S+ ^0 p2 H; O
[5 t: |5 w7 M8 J1 @) q! i0 }
let new 0
% \( q# N% m7 R ^ X! A9 z;;暂存新的一个全局声誉5 q7 P, d2 j% k/ s5 a# a, V9 ]
let i 0
/ n6 \2 s, A5 z' L' ^let sum-money 0- e0 C7 [/ W! a: S0 d: @2 Q
let credibility-money 02 F( ]6 ^6 d- u( y: ]/ u: y
while [i < people]
: R" u. S1 B* C! k( Q9 m5 }[* z" i7 |( \, @2 i0 [$ B& Q
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
3 ]' A" P, y, Z; h7 oset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))$ ^; ]% P- z2 [4 g' F$ D
set i (i + 1). H9 _: f0 q4 B/ G0 E
]9 y' I- R2 B: L6 Y7 U
let k 0
& K0 |* k( y, r0 H4 }9 ]let new1 0* o- b6 {) c, d; V
while [k < people]& ]6 ~- C7 P9 E+ F9 k
[
* R) u* _& U# lset 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)
4 `8 [2 T6 a9 t& `, V( J, eset k (k + 1)1 g9 B) {0 U' ~0 i' F5 B
]7 N# N$ b. H+ N& i
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 8 S$ \9 b4 M7 W% ]& Q
set global-reputation-list (replace-item j global-reputation-list new)
9 r9 w( s5 [9 X: b$ F1 Yset j (j + 1)
( U& _+ a+ M9 \0 q0 O" c9 []; m' k& R4 f" w# V
end( X s. l, ^) \4 [3 y( y
0 ]3 _( p7 u! D# t! K) C1 | |
9 V u. V6 l; V2 `
0 e& \& H* q" e* y1 _
to get-color* s; H E) q9 a5 w
5 b1 A2 W D3 v$ D
set color blue* s: S0 E' `" U8 i- X) z$ C+ e ^; b. u* D
end4 w B) {+ L6 c7 [* v x3 T& ?
4 {( z+ j. ~$ Q1 O. Pto poll-class
9 a7 H1 a" c ~5 [3 Mend
+ }7 d- K" o8 Y9 m) K
( n4 m3 @; Q* m Rto setup-plot1
Q3 Z8 @. h1 X5 Y; ^& U+ } H: B( U+ Z
, o9 c( @2 ]3 zset-current-plot "Trends-of-Local-reputation"
" W* v. R+ H! p1 D. \: |- }9 s( F; @& `. F5 ]( I7 {1 _- ~0 z
set-plot-x-range 0 xmax
4 D" ]" o+ ?8 t5 N; ]* g0 I4 W- o, w1 q `8 ?* {, P, P/ f
set-plot-y-range 0.0 ymax
: t& \' i# S6 Lend
; ]( V! W& c. ?7 I8 a+ }# n1 M B0 N9 A" ]+ p7 B9 }+ t
to setup-plot2- a# D, x/ a5 K
1 E7 Z+ G: R+ b9 O7 z( qset-current-plot "Trends-of-global-reputation"
& `, }" u" h( U- g8 K
6 R* h; Z- S' u ^0 tset-plot-x-range 0 xmax% `' ?+ j9 A- l% p+ M
. K( b+ S' K- S4 A6 K
set-plot-y-range 0.0 ymax: D# C, C0 @1 s* _% M1 L2 [
end
% ^" J8 P2 |9 L" V! `9 {5 D+ E: {' \# o3 u& C
to setup-plot3
* q9 B1 c y# K: }- _: u" C
, e! y: `0 n2 P& mset-current-plot "Trends-of-credibility"; O2 `9 y4 e( M. C
3 Q+ C! ~9 e5 F$ }% r& [
set-plot-x-range 0 xmax- M' x* x8 [: ^5 z* \7 K
) e5 u$ Y4 K1 F7 V! fset-plot-y-range 0.0 ymax
+ U+ C. @$ q4 g0 @, dend$ \% E' P! |( Q( r1 w7 W5 S
6 ^; M+ P7 V+ a9 ^2 ^
to do-plots
: x# V& r6 S* X, fset-current-plot "Trends-of-Local-reputation". D t: \8 g& {
set-current-plot-pen "Honest service"
$ W1 M1 d8 b3 @! Cend# W( K8 j8 I+ ]1 ~2 t j
# K7 q* H; ^8 w, ~' ^+ G) V: I1 ~0 b[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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