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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$ P+ r" L; X- c- T3 G8 X
globals[
$ H/ F* d" {) Q W# Bxmax
( Q: o6 P1 Y; `- A% G6 aymax' \* {, R8 n$ d2 A: j6 y8 p6 [
global-reputation-list8 E+ x; F& q6 Y+ Q
F6 k3 D- S0 v8 d3 w' p* h
;;每一个turtle的全局声誉都存在此LIST中
+ U/ |3 V( m1 ~( [credibility-list
. D- [% d: Z/ B1 |4 a4 r;;每一个turtle的评价可信度5 s) U5 s( ] R/ P
honest-service4 j; ~1 Q8 _6 c' F4 c
unhonest-service
0 p+ |" ~1 K3 h5 J) Roscillation0 M/ k4 ^& A% Y; f& a) [ u
rand-dynamic
* ?9 u" @! C& g; ?6 G3 |; K]
' N+ w& u# X) u+ q3 Q2 }6 I6 m2 P8 p% Y Q1 |4 o* w
turtles-own[9 z C: @; l O
trade-record-all. Q5 a ?: w# D% M" \
;;a list of lists,由trade-record-one组成
; d, j: Q# F) W Atrade-record-one
5 {9 Z# ^, }' n8 {2 b% m;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录5 ^" b9 H% y5 {! N" _: }/ [* b3 ]
$ M7 [ P0 G5 {# _# [
;;[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]]% a/ O8 a1 Y2 B) Y/ K
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]' w6 F" v, f) h- B+ e+ B
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list1 I3 R |& L* `+ _9 j. v
neighbor-total
3 O9 a* ~& _2 T. l' E( w+ n" \" s;;记录该turtle的邻居节点的数目
( d$ W6 o. J7 u4 ]& e8 T4 X, Rtrade-time- F$ l0 N! {2 v' r7 \
;;当前发生交易的turtle的交易时间
. z( K( H3 C2 Vappraise-give
' ^% b1 N. c! G;;当前发生交易时给出的评价/ C+ Q& U, [7 l* |3 U) G$ E* T
appraise-receive
8 v# F; m% E# E;;当前发生交易时收到的评价5 G7 I, e) a9 A2 h0 K% G
appraise-time
- d8 F. V3 |0 p3 s9 y% M' |;;当前发生交易时的评价时间 n: ~# l5 ` j
local-reputation-now;;此次交易后相对于对方turtle的局部声誉7 {! q7 I7 q3 d ]' S
trade-times-total0 _) ?& |2 |- f% F8 X
;;与当前turtle的交易总次数
; v/ R/ N7 `4 }9 o' S) ^1 o* ttrade-money-total
3 Z2 O3 t4 b4 y# m2 G9 {" \;;与当前turtle的交易总金额" t( ~" {. x8 ?. d y7 W
local-reputation* @- E1 S O0 w+ Y3 a+ G
global-reputation/ K6 }: J; b' f1 y& s
credibility
% a/ C; F9 I+ _; I;;评价可信度,每次交易后都需要更新% |" o @7 G* Q+ U' b
credibility-all
A6 j2 A$ h8 d; n;;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
$ c; {$ G2 i1 v/ b- v' {
' W- n4 M" ]* }' r;;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0.56 h7 {& ~0 [* a' \- `6 N! o( E! u0 D9 o
credibility-one
4 e |$ H" J; n0 F& n z& K% `;;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1 k" @9 E2 W8 p @2 `: {
global-proportion7 a3 C0 u* r( I }
customer" c+ y- }6 w4 U: m' o! a
customer-no
$ u/ }* N2 \1 k0 M+ C- [trust-ok
1 ~/ Q8 G `2 {' p) c* ytrade-record-one-len;;trade-record-one的长度
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% p2 \$ C" R5 P' y* s;;setup procedure
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: @5 c* M W. @6 \- G: ?, Tto setup0 e) X$ k: b+ b
6 f0 Q5 y+ t" L2 r, A% fca
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initialize-settings: e7 J9 F+ v+ `6 J. Y
4 t6 K6 w/ e) N' n& f- f
crt people [setup-turtles]
3 P8 O- G3 N. ?( d
& J/ R7 X' k5 Greset-timer0 |) N6 ?' Q2 I5 ?
& Q3 c6 {- u. ~" Wpoll-class
3 q: z9 H9 l$ Q: K! h. v& }0 g0 b5 C3 a9 |4 C: y
setup-plots
! |5 _& t. [: i& i
4 v" {6 L- @. e. d9 x+ J& x3 A9 ~do-plots, [) S2 ~' {- d; p) C9 |. w. H
end) g5 v3 R! C; p7 S _) k
7 ^ L6 W. {* o0 o0 ]0 wto initialize-settings% e3 p, W1 U* R% j m _. U \
, V. y# \# s" X ^
set global-reputation-list []
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* q8 v9 s* D6 _3 n& G" ~' Rset credibility-list n-values people [0.5]
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set honest-service 04 Y( r- t/ k K1 j
9 {8 H6 ^2 w( F* A0 u# ^
set unhonest-service 0+ ^0 o, I1 J7 d) o
, R$ S- n8 p6 y Zset oscillation 0
/ ^8 A2 R' b! [8 i+ x$ Y3 k
/ ~- x4 |1 ] C9 Hset rand-dynamic 0+ E0 f9 d0 B8 k1 l3 c7 B( U) d
end& p" N1 c+ N9 { G8 T: u' m
' a6 |6 m( _$ n8 y1 Z
to setup-turtles 2 U5 z! \8 b, @- b" I: n$ H
set shape "person"
& }# X; O$ r$ ~% ]2 N& [6 F; ^setxy random-xcor random-ycor
, P/ g7 X9 a" A) O$ gset trade-record-one []5 w5 T) s; Y0 ?' i( O' }: N: ]
% w5 C5 g' Z1 i: ?8 A3 U
set trade-record-all n-values people [(list (? + 1) 0 0)]
1 L9 a! b- a4 ~: b; [6 d
+ P+ ^, e* M2 l& a0 w3 n6 k0 G! zset trade-record-current []
9 w$ g' K4 O8 q$ N2 D3 Dset credibility-receive []8 n3 p" x% u. E( F7 w
set local-reputation 0.5' C2 n" K; n H
set neighbor-total 0" H# O2 ], j) ]
set trade-times-total 0- n/ F2 D5 A8 z' F
set trade-money-total 0
0 w3 d+ i5 z7 |' K m* N' y! eset customer nobody4 p- J9 j0 D) g0 |& a: p' \7 J
set credibility-all n-values people [creat-credibility]
3 @9 O! r% X/ r) ]5 E% {set credibility n-values people [-1]
8 u& I) i; h5 z# I# Q! t) X1 oget-color
* t/ f" d2 E( }: q- D7 _& n' n# G, q0 \1 @6 P
end% Q6 z2 S; [; x$ i1 ~4 X& ?( E
+ u( A% o, o! B8 Xto-report creat-credibility) p0 |- T, `. U* r/ O; m
report n-values people [0.5]
& h2 V" }4 k9 P c% U3 Oend# l; ?& \- g# k2 {
2 }8 I# q' U+ Lto setup-plots5 c& S6 x% ?: f ^, o3 S% U+ R
8 b: k) `2 D$ A1 A# p3 b3 Bset xmax 30
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1 P! s$ G Q$ @' W. T( x- Qset ymax 1.0
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# M$ W. c6 m" r8 {9 |3 ?2 ?2 Fclear-all-plots+ l4 B& \/ ^5 g; k2 d1 q$ W% J% {
- r" z5 c) U' ]setup-plot1
i. y4 D) G! l0 |- i% C/ f5 Q2 `
8 e, d$ \" W% a' f* F4 i# gsetup-plot2
+ t( ` }; g; O: x8 x6 F v2 ~" C/ Y6 v% M6 l3 v# D b m- u9 f
setup-plot37 r u d! F P, y- x
end
1 Z- u2 L% s( b$ S
3 g" F& }2 g8 V; o+ E;;run time procedures
3 ~7 x. _+ Y: K, o8 |, z5 m S; q# d" v& ~* d/ V* ~( S
to go0 _# m, \" ?1 F4 z+ r( ~+ L
# Q1 H. W5 y3 x- p0 Nask turtles [do-business]$ `; C* Y8 C- z: b1 Q+ t+ y) s) a
end0 ?- r8 k, o/ S. t% Z
# f0 ~' J0 X+ G, Pto do-business
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8 D3 ]' r3 _' R" ]
0 J; ~0 ]+ X& O/ g3 Irt random 360
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- x$ t& D* y2 C8 K9 ^, z8 ?" Z4 J' xfd 1
% d- _7 j/ R1 D+ V+ p# L; B- g) j' C4 w4 l# r: [& n) L' H
ifelse(other turtles-here != nobody)[
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6 N* b8 f- Z% X( o7 W1 pset customer one-of other turtles-here
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;; set [customer] of customer myself/ Q4 p8 M1 P; t6 k2 j
* n% d- y# ^) X1 T; H% Dset [trade-record-one] of self item (([who] of customer) - 1)
0 r. {8 J2 I' J T* s7 _) C[trade-record-all]of self
# W7 h. A, A' m. |' g;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self: [0 Z3 k/ H: D
5 A2 L1 N( |5 a7 Y1 Z
set [trade-record-one] of customer item (([who] of self) - 1)
+ e$ r e1 L0 U, B3 \2 b[trade-record-all]of customer* h. y: a: W- g8 M: t8 z
0 P0 n6 t# z6 a% U+ \: tset [trade-record-one-len] of self length [trade-record-one] of self
% S4 c3 W# ~# R! A& E( \- R- `( Q& ]/ ^/ B, ?
set trade-record-current( list (timer) (random money-upper-limit)) a# z" |8 O$ l- ?* E. w/ [8 w9 @
/ ?- D$ ?5 d i% c# t) m- B0 A' Wask self [do-trust]
+ c& N- T# x+ E6 |) k1 q7 T' M;;先求i对j的信任度
# M) f! k0 }% p9 h) x. t& V* w' w2 B+ R: M5 ]* y- m+ p
if ([trust-ok] of self)
9 o+ D, O `- u;;根据i对j的信任度来决定是否与j进行交易[
) V# k! y# q# y$ I. ~) `ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself( ^8 z. m( \3 [( T; u3 {$ ]
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[
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4 d% o$ e* O L% {; m! @9 pdo-trade, }0 o$ _! r9 T! L2 M% d1 p6 g
9 d! ^% X0 m7 E7 H& k% G; b
update-credibility-ijl+ p4 @0 d$ V' k) l
+ D* _3 _9 ]4 `6 S+ n# n7 Dupdate-credibility-list
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update-global-reputation-list1 _6 c% Y0 ~$ k- k9 N4 ^ A
/ ]6 w% H& ]5 P: ]7 \
poll-class- ]5 @* e! p" @0 l
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get-color
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]]
3 f5 p5 b/ d5 V# O
' }9 ?6 O, m/ f;;如果所得的信任度满足条件,则进行交易
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9 U5 v+ S# Q+ q4 r7 g
rt random 360
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6 s3 ?+ Z' Q& x. pfd 17 |& R% W* |% X$ j) n5 e
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]
6 t8 l" l) b8 F0 H2 J! `7 B* E+ ?$ w* K' M( f
end
& o. ]$ J- P- u. V4 A5 [
( @# h0 h, z- z; Gto do-trust
7 p1 _: r5 j5 W: ^9 ^set trust-ok False3 C6 j# g* C- D, A
* Y1 O, V1 R9 x# z8 i5 _
, Y+ w- Q* a. tlet max-trade-times 0$ P/ k2 Y* [6 \! ~! a1 K( L! n
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]* Q$ n' ]3 p/ x9 O
let max-trade-money 0' A: g8 c. w$ c
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]2 P4 Y4 C& R3 [0 |: j% I' B& D/ E
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))1 W/ a$ l+ r4 z$ W7 W. k" G v" c
, ` t1 g3 w; j+ }0 F2 O2 g" }9 A; i6 }
get-global-proportion
1 s7 N8 W2 R, Llet trust-value
, c% t; c! r& m: I# Mlocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
) A! f o- v; G" t4 D+ T, Iif(trust-value > trade-trust-value)! a- e) m" k" S/ p" e
[set trust-ok true]. [3 y2 {, W$ C" n$ `2 y
end
( L" O6 R( _$ Q% X- ?3 z4 k$ k7 Y( ]
to get-global-proportion: y# w! e5 E5 U! q( ]4 E- S9 q' n# _
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
v* ~3 @6 {+ S3 k$ z5 E3 }[set global-proportion 0]
5 Z* C3 U3 n5 s/ d; K; F[let i 0: _2 s8 h3 Q% ?2 ~
let sum-money 0
& S$ [6 B( e7 _: N$ x& Iwhile[ i < people]; g: h% i, C1 [+ r: j& p
[
8 W: ~" l/ n' x; r) Iif( length (item i( \# j7 o5 ^/ \
[trade-record-all] of customer) > 3 )
3 m( \& U& ~' X) Q+ _* ~% n6 ~, j[9 c. p' a: k. r4 }0 |
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
# Q+ C* P, u2 O* M* c]1 T& |! c2 k- V% K7 M, b
]
8 i" e7 z! e: N* f3 n- p# klet j 0; g* L0 z7 e+ k8 Z& `3 z% \, [
let note 0
) K% ~5 E% [% q' L! f" Z5 Xwhile[ j < people]
o X5 ~2 n. m[1 w i/ K/ d3 t( i
if( length (item i+ ?( |9 {( l5 y- D
[trade-record-all] of customer) > 3 )1 }7 o5 _+ P# n7 R& R
[6 u: b/ T- O1 P" ?4 j, v- @
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
8 X- T/ q$ A8 m- z! j+ f2 R[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
, h1 F4 M6 ?1 H9 f- `6 |[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]. e8 u# q2 d/ G; w- _& V
]6 z, _' W1 g' l# g q* q: {
]
* I% Z' H& {1 ^0 D7 V0 ~- x e" lset global-proportion note
2 ]* s! S$ {/ S9 A' v) ?- s]6 D4 h4 w! s6 N* }
end
+ n; y. W0 a' N/ @( z: ?! d
. ]) P! y& F& q$ [0 P8 Wto do-trade. m: Q# m7 k+ G$ l3 Q
;;这个过程实际上是给双方作出评价的过程
# B" m# l0 X, _5 F9 P, V$ Mset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
. Y2 k" w& X+ n" H; B, e) K2 Vset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
. j; x5 R3 F9 Kset trade-record-current lput(timer) trade-record-current9 w/ e y2 Z8 Z) r( p8 z
;;评价时间
L1 W; q3 ]. L* p4 H3 f& s! Jask myself [3 ]" H9 U- f9 c: E2 F1 U' P
update-local-reputation' \) Y! e0 C8 h" I- P. x! P
set trade-record-current lput([local-reputation] of myself) trade-record-current
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" w- R. _+ d# [3 O1 S7 mset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself+ H9 W- I; S4 z. z3 C U
;;将此次交易的记录加入到trade-record-one中
$ w8 {3 l4 i1 I0 Z- z# l3 {: W3 kset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)& ]6 ~8 y% D9 z7 n3 _4 q
let note (item 2 trade-record-current )
1 y# w1 F8 `, j( |, W6 Eset trade-record-current
& ~9 [3 b- w5 [6 }(replace-item 2 trade-record-current (item 3 trade-record-current))
7 A Y, l8 I9 _- J/ dset trade-record-current
6 E" e1 e2 b6 |7 w- O+ T3 c# p(replace-item 3 trade-record-current note)
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3 v6 j6 Q/ d" {. j/ F, F9 r8 Z% A g3 ]: [. {1 q% j
ask customer [
( i+ C0 m+ o3 M* _9 A' Oupdate-local-reputation
! ^0 @8 ^$ k+ r% jset trade-record-current
! ^; ?% B- R8 o. _; w(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) 0 W2 A; F' P; i4 N3 W
]
3 N2 w- g. @, w. ^* |& g: A/ \: L% [5 ?% Z
2 o1 A; G; P. J. f, w. q3 w
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
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set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))0 `2 `% q8 d' }9 Y( T
;;将此次交易的记录加入到customer的trade-record-all中& ?& H/ y. z# T2 I" S4 x
end6 }# D% @3 V. E. P8 v0 U/ u) K
# N4 i7 m2 o5 jto update-local-reputation
8 J' U" @ X$ k9 W9 M1 y) r% D& ?set [trade-record-one-len] of myself length [trade-record-one] of myself
0 E5 d( b9 p- }8 }+ t+ I7 b
5 N2 [1 R! \" M* a- m5 A
. ^9 B. r @# h: ^) j;;if [trade-record-one-len] of myself > 3
" c# u5 d4 t! m yupdate-neighbor-total& V8 _- X* J$ q5 p t
;;更新邻居节点的数目,在此进行5 N& ?6 y0 O, I4 n# q
let i 3) x2 [4 j5 D2 M0 e0 M4 g3 Y' i
let sum-time 0
8 F6 n, F' f/ H2 t) ~while[i < [trade-record-one-len] of myself]3 c. W6 R& a7 B0 M
[9 J; z) a! d! ?
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )* ^5 r& a: }( ~- s0 w
set i
6 J8 U8 z2 y# W. |* ^& ]; a( i + 1)
$ h" \: X% y) k- c]# j: k+ `* y$ l" F, | J. s
let j 3; h4 N+ }6 J" n; b, B$ R$ D9 `
let sum-money 0$ Z# w! J& q. l: E7 D0 U+ _
while[j < [trade-record-one-len] of myself]
& o; P$ z( N; }0 Q9 w[
0 u3 f; J* J8 C6 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) O9 E6 X5 d2 C5 U5 R- E6 I
set j& y7 a1 ]) q6 J% u
( j + 1)$ D7 b+ o; F: }2 E
]' ~( T, ?# f9 V7 t/ }0 a
let k 3# y" V$ ]9 F# y' V& T
let power 07 W: X7 O7 |6 ^$ M8 X U) B; f
let local 0
1 U8 O9 y4 O% \0 V- zwhile [k <[trade-record-one-len] of myself]
k: _. B: {/ f2 l0 a: i3 T[
. G4 ^* i- E* a5 u2 s- ^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)
8 q# m" C: V5 a' A& gset k (k + 1)& q2 H( o& y) T% B$ C& Q
]
3 n; f( `8 t3 b6 K- X/ l9 Wset [local-reputation] of myself (local)
; k1 K) R8 i g- I$ Q' x2 |end
! A4 r+ c8 B' p2 }; {7 o) d0 h5 p) G& }3 C
to update-neighbor-total
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if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
( J1 A* `2 M7 K( B8 Q1 @1 q2 Y( V# c! ?
2 d. e8 O+ y$ w+ ]' _end
$ |9 @* J' R3 l& d: C
. S2 C0 ^3 B( H4 mto update-credibility-ijl
* p: `# V5 s4 Y$ w& f* \: X6 d" W) {- g b7 V: \% Y
;;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。- R3 }: Q, v+ O! g' H$ c! s
let l 0
$ P( f! \0 r- N1 C7 p! Nwhile[ l < people ]/ z: t% Q/ J4 R5 P9 _
;;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1 x7 w+ x% a% P5 ^/ }
[! l2 I6 ]; N4 y. o5 w4 e
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)7 R& B6 D4 ?3 j; ~
if (trade-record-one-j-l-len > 3)) y) c6 O3 K# |2 D
[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-one9 f5 t9 Y5 u. o; ]$ z( ~1 B2 L
let i 3
W; @( {% H& x, e$ a% Z* olet sum-time 0) l/ ?. w& T4 H# O# X
while[i < trade-record-one-len]
2 i9 f! V1 I) [$ v% V' N2 I& M8 }[& J$ G1 F* D" w* D
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
7 I% E, f' z0 o- B# B+ _/ k z0 oset i
0 W9 K* Z; q- h2 h( i + 1)' L* j) }0 g' y% i
]
6 H3 ]& K: [9 u' \; M7 m Zlet credibility-i-j-l 0" m# z# K3 |5 b5 _& W& ^
;;i评价(j对jl的评价)& U( P6 G& j6 G$ G% X& L& D" D) T
let j 31 u( R1 h9 |' C! d: D& p" T0 n3 W
let k 42 v3 b4 a3 C: C9 |; y. n
while[j < trade-record-one-len]" a1 T/ l9 T( F. d* T
[; }' Q+ h& u# v
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
, c- y; P3 c! B) C# G( ?% Uset 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" M+ `' X( m! C5 l0 \' p4 Dset j
9 W' W1 `8 a( s( H( j + 1)! ]. `+ k; @2 |% a' @7 B
]
9 @) p- B/ e2 jset [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 ))
0 @4 s. o3 f. [4 Y6 M
$ M1 c# l. v6 K. I: ^$ z t! z' ~5 _. p8 H; J
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
% n9 X7 J# h/ v) \;;及时更新i对l的评价质量的评价
4 T- Q- x8 g! kset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
6 k* D6 E- M' r8 ~0 d! [- tset l (l + 1)7 H; v5 |6 a; u. }
]. T( I6 }+ {6 E+ ^ Q- S
end
0 t R; Q5 W% h1 n6 M( R W) F; W: H
3 j9 B& [+ x0 L: b5 r2 L5 }" [" Qto update-credibility-list
! N3 f5 C' q' }3 `let i 0
& m. v6 a" ]6 M% B: j& bwhile[i < people]7 I3 { p( V( X1 R+ r
[% ^- ]. I4 b5 {, d
let j 0
: I4 E9 X4 b+ Q# H. H& B2 Olet note 03 F5 [0 G% l' f* N0 J7 b
let k 0
; I& M# G o9 @;;计作出过评价的邻居节点的数目 s- c7 E/ M( m8 B/ ~% {
while[j < people]
6 b0 o* o' ~: [) E9 ?2 Y[
* R" ~2 _( ^" Z/ F2 n, \0 rif (item j( [credibility] of turtle (i + 1)) != -1)
7 i$ i2 Q! u( p: C+ V! C+ f;;判断是否给本turtle的评价质量做出过评价的节点, s3 E& j- P4 l; g, K
[set note (note + item j ([credibility]of turtle (i + 1)))
- |5 g5 N( P0 u2 d# P# |;;*(exp (-(people - 2)))/(people - 2))]$ ]. ?$ ]# ?1 U& c% P8 t! @' Q
set k (k + 1)" E/ Z/ { o- [0 O I7 x2 t! T8 h5 E
]
3 I+ ^# ^: ^, A7 ?8 h9 y0 wset j (j + 1)' J w. s4 V7 L, K0 u: w. h4 R
]$ G. r7 a2 E$ N0 A
set note (note *(exp (- (1 / k)))/ k)' A: E' _5 ?7 d( ?- Z
set credibility-list (replace-item i credibility-list note)
5 v0 N% {" x; Z6 H% M: Xset i (i + 1)- L$ e1 T. s& o. v
]: J, W3 y9 \" D# f9 H& H
end5 n! |" A+ U$ z2 u% h# n* ` _& K
7 U! u0 r; G2 C, `to update-global-reputation-list
" J: b( T" O) ]6 I* R$ Y9 h2 |let j 0
1 Y( W! v; y& _" d2 k2 jwhile[j < people]
5 n8 A, X! Q& l4 n; [0 D4 G, z[* X8 B& ~/ G$ U( }1 }; U# w% K( E1 z w; v
let new 0
; y/ `( o$ m2 \! ?;;暂存新的一个全局声誉1 v0 c4 A! B) R/ e& ~/ ~
let i 0+ Z _! x8 z9 N) ~
let sum-money 0
8 x2 Z- `, w; f" M) [' o. B9 Alet credibility-money 0
2 c7 L* t9 Y( u7 q* a3 hwhile [i < people]
: L0 _$ h& @$ O7 T[
* b" S4 d$ P, B& U* C4 D% q3 cset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))" k7 w, {2 t! e' W
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))3 U' E9 ~% m- D6 T8 E. v# @" I! y
set i (i + 1)3 n& u E3 @1 ^' N: k0 P j$ Q: ]
]
: p8 u; w, _6 F! t4 [4 j' klet k 0
- p; C* _2 J% J) e5 q& U, ulet new1 0
S' X: L# V1 `. l* l/ q: Bwhile [k < people]% z7 [. L f) Z& t
[
/ E3 e2 U6 T) @1 [1 Aset 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 @& D9 d5 J8 i0 l! S6 eset k (k + 1)
; ?) l3 S; u" P* Y) ]! x0 l]; ^( K3 }( ], Y
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) c7 c1 c0 a/ k2 l6 J$ Z6 [. L* @- h
set global-reputation-list (replace-item j global-reputation-list new)! b+ Y0 ^; r; `1 |" N6 _) D
set j (j + 1)' t1 {, A2 g' e& v: w& ?+ V3 n+ q
]
- K3 d! v+ I' H. V8 ^end
! i$ I @2 q5 C( Z6 N4 q9 V2 u6 R+ S4 T$ o! l
: r: F! {, x* l4 v4 y! c
2 }! k( |& Q5 [' @to get-color7 S9 W' z7 h# O) s. u9 l2 D+ {
7 V1 ~5 ]/ ?2 D) ]5 _+ v5 }set color blue
0 o8 B& b0 T7 x! x7 b) gend0 u% z) B/ ~2 l A
8 F& t _. T" U; u% J
to poll-class0 Y9 ]8 |; l& u0 ^1 Y8 b1 R
end2 G; z* _% `) i+ e
0 w1 |3 G) W* ]" L$ c. \$ m! Dto setup-plot1
% A( x0 p6 U& H: V4 d) p5 J' y5 \9 M! X$ W
set-current-plot "Trends-of-Local-reputation"
" ]- ?" g+ K; n& ~# J
% { r; A* N/ Q' _3 Wset-plot-x-range 0 xmax* b2 I: W6 I7 ?1 r- `% I
; M |1 ~# T6 ], N
set-plot-y-range 0.0 ymax3 i4 ?; c9 i7 z* y5 y4 H0 S) \
end
' K; w/ e" r" M9 t
1 F u* Z' ]4 Q( m! T% ]) u6 Vto setup-plot2# I8 m; H) p8 n
' V9 [* E( T' o' C3 H
set-current-plot "Trends-of-global-reputation"
7 j/ \* _: m+ h1 U1 ^7 l/ I5 H+ L( F" k3 N5 V/ g2 }
set-plot-x-range 0 xmax
$ _$ [2 l9 f* t) s' a; r, h7 _. T) Z6 M0 {( F3 a$ ]; a
set-plot-y-range 0.0 ymax/ r5 ^/ o/ ^6 \. h5 F* D% }
end
' a; R% B& B' Z6 d7 X, Y
S! n; P! y9 I( X: B6 z% Oto setup-plot30 z& Q& p! Y* C1 c: R
$ f# ~. [3 O( V9 H5 Z% G7 Oset-current-plot "Trends-of-credibility"
7 ^8 ?# N9 [8 z, Y8 a, p5 J2 c) z8 i( P3 u" [
set-plot-x-range 0 xmax
. t* Z' |: Y( `$ x
5 {) S& w6 r9 g4 sset-plot-y-range 0.0 ymax
D4 T6 ~ @: I. Gend; @6 F( @# S3 M+ U! E' q
; L! v6 \$ l9 Z; X1 W, P f
to do-plots W7 C& O7 g( Y0 n) L$ ~/ @- Q' G
set-current-plot "Trends-of-Local-reputation"
2 h( l: g5 f# v8 m- V0 W/ y) Fset-current-plot-pen "Honest service"0 W; J) i* j4 B' O% h
end, E0 b5 Q' h2 `$ M0 z% l
; G. v% M/ M# e) ^' v
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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