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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5 V' h# c. n* ]
globals[
( L) T) Q1 i- }3 m: gxmax
' }* i. h1 S( n2 e7 ]+ e% lymax7 [% p* D3 l x4 _; W) @5 A" o
global-reputation-list+ `4 ^8 g2 x. T0 k/ a( N
9 U- E+ s! ^& X+ O# U1 I: H
;;每一个turtle的全局声誉都存在此LIST中: i1 H! t5 Y9 j; p
credibility-list
* S5 d$ p+ D8 k3 N* a( T# n9 S;;每一个turtle的评价可信度
3 a- R) V% x! O% Khonest-service
9 P8 N8 ]! A. Z$ }, ?unhonest-service( T0 x9 l# |6 e' T4 D5 p
oscillation
0 d% D. k& l! {, U1 Y+ r* Arand-dynamic
1 E3 m, f2 l9 C. w o]7 p# `: B4 N2 h! W
( p2 [0 m/ j- `
turtles-own[
8 T4 O( x: e# z4 x- Z2 i3 `0 dtrade-record-all
3 j9 d* n7 |8 M3 `- G6 N! {;;a list of lists,由trade-record-one组成- t2 g4 V2 m) v* ?1 O4 H2 ?
trade-record-one5 l x+ S9 g% m1 w. u
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
6 w$ V1 T( w& N; R* c% G; D7 w9 V' t4 t' q. Z* M% p5 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]]
# n3 B* V5 i& [: }+ j+ \9 gtrade-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]4 B& ~7 b- h7 m- Z& E0 S* E
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* @4 h- F7 @8 T# h1 o' s
neighbor-total
9 v- G) r8 O; E" Z9 };;记录该turtle的邻居节点的数目$ {( n+ z u( O. u" O
trade-time; I4 }. h" a1 ~6 }+ _, Q
;;当前发生交易的turtle的交易时间
1 C- ]* s9 K+ H. `appraise-give
# ?1 { s |2 y;;当前发生交易时给出的评价" ~ o& x/ `2 ~3 S1 m4 G
appraise-receive$ }7 G `2 X9 i1 b. c3 C& `% ]
;;当前发生交易时收到的评价
# L% q* g$ m* \8 x9 dappraise-time0 Y% W0 a* m" X
;;当前发生交易时的评价时间
3 ?, M& \( |' n* F' t9 c% v- klocal-reputation-now;;此次交易后相对于对方turtle的局部声誉; u, Z( @% ?/ h- J
trade-times-total
+ Y- ^) O8 H7 `! ~& u- d;;与当前turtle的交易总次数8 T6 k5 c9 e C
trade-money-total. B. P0 y5 f( i; ]( e9 v8 ]- ?
;;与当前turtle的交易总金额; I% u) V; t! u# z
local-reputation
8 J) }8 L; H+ a% {4 Dglobal-reputation# Z4 j; F- I) N+ _7 I; E4 r
credibility
" _6 B' _! [. `1 k; l;;评价可信度,每次交易后都需要更新" Z8 B2 J- s1 W3 B4 I, P
credibility-all
# Q( U( M1 u# g$ K$ b;;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
4 j& Z- ^0 [! G6 @) T/ z
2 {0 |/ `! g( e. F! f8 j, B;;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
0 P& m) ? Z, I* J. H+ y' F7 H: Icredibility-one' S8 R. g/ T9 y8 J4 {
;;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
- W$ m' p7 n( R& y* E! Hglobal-proportion1 x6 }7 H6 _% b$ ]6 o. ?& W) Q
customer% S0 a) S8 ?: B. ~4 _" Q
customer-no2 C, o; \$ u/ G7 E0 h y; L
trust-ok$ n$ P% h0 f5 M" v
trade-record-one-len;;trade-record-one的长度
9 K3 S, Z. `( Y8 A$ X* r]
* g: U- A [3 v+ _3 I/ r) q! s u0 }- k, F
;;setup procedure
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to setup9 F6 D4 l* [" f$ E( x
/ g7 @( P) B# x7 @ca
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! ]; A# x+ M7 T% b7 V1 kinitialize-settings
* n ^4 E7 j5 C' K! Y
! s1 E/ Q1 w( a# o& e1 ?. \crt people [setup-turtles]
; ]* N2 N, e5 l/ E8 B$ P5 ]3 `
K2 r' E7 h' z1 L. H+ c3 m1 X/ creset-timer
% Q) d% R1 \0 W% J$ j8 j S; z7 S/ N1 F' P% T
poll-class: n) k8 A- S g4 `
7 ^- B8 F# o8 N. l* ksetup-plots% p4 Z1 Q1 N- e$ ~
6 |, f3 E6 K+ j4 U* [5 O1 P
do-plots
3 q4 |" ~ [& I5 @) lend
. r5 S/ r+ \9 W; J$ G7 V" n. h0 I$ _( P7 g, U( |
to initialize-settings( ^/ L4 E$ }1 _
& P( K) r" \5 B: K: lset global-reputation-list []# \, B& L) O, B5 ~
; n e& Z! j* ]9 ]0 b/ G( M
set credibility-list n-values people [0.5]
' B0 u+ W( C3 k
9 q) R( K. d. wset honest-service 0
8 H2 ^# s6 m3 e+ P% E7 V3 g; d' ]
set unhonest-service 0' r& s% \, G- Y6 @& q7 R
8 f% B5 C7 W5 N' Tset oscillation 0' [( P. h1 z F$ |( G( X, d
6 k U6 `# [# I) i5 U7 ^( S
set rand-dynamic 0% |0 D, K9 q" f/ {0 l% s* `' K
end
( F( O) {! ]8 |7 b" |' t* l0 f' c" @# z- |: k& }' y0 N
to setup-turtles ( e5 D9 ]6 z% M' J+ B# a% n
set shape "person" g% a' I7 l" z! k- K, c" H* F
setxy random-xcor random-ycor: e% {/ S" {3 ]* v
set trade-record-one []- L3 l: F3 g% U6 f' c% d
$ _/ A: y7 V9 P0 Pset trade-record-all n-values people [(list (? + 1) 0 0)]
. |9 E% z! |; J- O, B1 k& i
$ z: t8 \+ _8 v4 |7 N4 rset trade-record-current []* o p |9 f, z. j5 ^# R
set credibility-receive []4 q N& e. c% p) ~/ k
set local-reputation 0.5" {0 X& W `2 K5 c Y
set neighbor-total 0" m4 O$ w L* h* N1 A* |- J' E; Q& l
set trade-times-total 0
+ {$ i6 V! v9 @; B4 Yset trade-money-total 07 H* s s7 \/ J* M# l
set customer nobody
( H" `$ z2 J8 bset credibility-all n-values people [creat-credibility]; O9 b2 Z) F+ E
set credibility n-values people [-1]$ ^& J; t3 c* q' z2 I! y
get-color: X: ~6 f. y" l; q; k3 a+ D- D
$ k g; h: I2 I$ h$ J
end% l" c0 H; p# F& Z6 V% T9 A
+ m8 j8 ^7 [$ ~3 [to-report creat-credibility
- W) j, k0 |( i$ e2 m/ z1 Vreport n-values people [0.5]6 N8 ?) j$ v' c1 G' _( G
end8 P2 d+ {2 A' C3 @5 G3 b% I
0 ^+ Y C3 F5 [' t3 E! D
to setup-plots8 p- w( i. X" V1 K: @. i
# m3 s7 {5 M7 p9 s5 y
set xmax 30' D6 o0 r0 b3 M8 u
4 L1 \& a: m# _# D3 p4 s
set ymax 1.0
# i2 D0 \2 i. g- b, b1 [7 j) j5 G
5 f! y2 f, ?% s4 Q4 Q, q7 O" Iclear-all-plots
1 U: ~/ j- O: x& ]6 d, R. y. L# \/ w- M) S
setup-plot1
# N; \4 c+ a+ q8 j8 E6 c8 ]; J* [3 V( N# V! t5 b% s. o, X+ f
setup-plot2$ k$ [# L% z8 z/ z
u; P( D6 u7 W6 osetup-plot3
+ b% M3 ^" X: m* `( V9 I0 M+ M8 M$ Bend
8 c x6 ~6 F3 B' j& E- a1 x
* n- M) H' N3 [! F/ m;;run time procedures0 q/ k: H! V+ H9 V0 d4 o m
( ]8 j; } K8 m* s e+ S" N9 }to go
! S) K! V& }# y, w
8 a% Z, l' D: y1 _ask turtles [do-business]
2 _6 ~& H, h! ?1 E# i- t$ aend
4 v; N8 H3 P0 V, z
" ^! x+ R2 z2 p6 p6 }to do-business , H$ z) a& E/ `
0 p5 I1 p/ i; Y" `% Z2 B# F1 A( @
$ [6 k( c1 h( Z5 {" \% s# yrt random 360& I' X$ l D2 `0 Y% ?
9 h, e0 i# O8 ]# \
fd 1
, H% d v$ ^" |7 S3 @
) O# z; i! Z& T- g8 J0 | sifelse(other turtles-here != nobody)[
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set customer one-of other turtles-here$ S- ~' F3 r& w
7 M3 [3 X4 c# ~) v
;; set [customer] of customer myself
# p" C- B+ k7 O1 N8 ]" |! Q+ I2 o& y& o$ ?' ~
set [trade-record-one] of self item (([who] of customer) - 1)
" L2 l% n9 }0 Q7 R, V1 Q[trade-record-all]of self: l1 t; c& t/ M E$ {, F
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self0 ]+ Z. L- ?0 U$ K3 d5 z! U2 U$ k
3 o0 s1 t+ N$ c/ H# x- j
set [trade-record-one] of customer item (([who] of self) - 1)
% b3 Y6 F3 \) p" I+ ]' b5 x[trade-record-all]of customer
- S6 [. _$ Y# x' _
+ F9 y& b# ~5 n/ {, Tset [trade-record-one-len] of self length [trade-record-one] of self
; Y0 ]7 T+ Z! i, l9 U h
6 ^' H3 z5 Z7 B2 Zset trade-record-current( list (timer) (random money-upper-limit))
3 h, C% b+ }- z+ v: o; ]
" I% A9 |! r$ ?& d% G6 Bask self [do-trust]1 n i3 F" g+ R" Q9 p/ a
;;先求i对j的信任度
( A" ~6 }( k- B5 I6 V! S0 }" K" k4 E7 [+ [2 z+ t' K: w5 m
if ([trust-ok] of self)
8 W+ k6 ?9 n; |7 F- h5 V' G+ s;;根据i对j的信任度来决定是否与j进行交易[; i2 J. ~# @( j. I. e" _" k
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
# X$ ~6 A5 R9 R( c% V* O4 y- k, t7 e+ T
[3 x% O8 t) H/ g# _: e8 q2 x" H
( Q4 H& W) A, S0 o K; ido-trade
7 i$ g0 T& \" Z2 ]: k3 N/ b# g
update-credibility-ijl
( |* X3 j8 F# y( H3 G- |" I* f3 [* C9 M/ q4 K1 W
update-credibility-list
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, X+ ?% D% P- d5 o$ M$ d
! B. z$ W3 _5 @8 Q+ c! O1 p3 Qupdate-global-reputation-list& h! j/ i* p% ~- X! ~
9 H, t+ n. e% w( x8 _2 c' t6 X/ s
poll-class" P: K( j7 {9 g( f$ e1 D
7 r" Y6 B' f% y9 N
get-color
# [. o8 r5 K6 x7 B3 l
" s& `" t5 B4 ~]]: j% Q8 }9 t4 t9 V9 `2 e$ E$ S
& y, a/ I' z! q) Q& s* }8 q1 c;;如果所得的信任度满足条件,则进行交易+ a4 x7 s0 d) \' N, Q8 y/ o
0 J% N0 M0 {5 |4 ][. e: F g& S# T. P( [/ j4 C) n
: D2 m7 s7 i2 @. c# Z* S
rt random 3606 M- @- s9 s( @6 a9 `: I1 B% q v. x! p
/ R1 d; T. q8 D& zfd 1
9 Z9 i$ z: z! x. Q& }7 @
# l/ } P. n" m K/ s]
8 n: `9 J b6 ]" F0 x8 J0 C
7 h3 e/ k% D* O4 Tend$ `1 d* p, d! N! z
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to do-trust
$ i0 z5 f" A, p9 L( o# Iset trust-ok False( X% ]( T- m3 T; w
* G! f! l: g2 ]5 V3 m) o
9 b2 W3 V, ?1 R) p1 x$ ]let max-trade-times 0
7 t. W- J g' W+ {) w0 g" s8 Iforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
; A) v$ c4 K2 Q0 c% Ylet max-trade-money 0
5 R4 @. R0 v3 }9 V$ b& q2 R+ Zforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]) ^6 l K; _7 E' ~3 q- P$ |/ G; \
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))0 Y+ T% o8 p/ J# M$ Z
. G; J1 l1 g/ _6 |
% k2 m6 d/ S& E
get-global-proportion% R$ ], q9 \/ c' m" `
let trust-value3 N$ G3 Q7 J" E3 ^" N7 v: w
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)
# _# o/ r; x; E6 g2 Yif(trust-value > trade-trust-value)
7 m# m/ w0 f. Z[set trust-ok true]& _% G! g. C1 V
end5 i- j7 b3 q+ a3 e Q X
2 Q. [9 L9 J' k0 }( {
to get-global-proportion
6 N( r) }6 w+ B" f# o$ |7 e0 I. fifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
1 c6 N+ l$ s# H1 X4 F5 K6 k[set global-proportion 0]
5 l8 W3 [8 P2 `# H( n[let i 0: e& \$ q% o+ M; A. M, x
let sum-money 0" G! |+ Q; h3 J) p3 b
while[ i < people]0 d+ q4 g- T# K) a$ j% G4 `& W
[
" T- d5 |! G. Vif( length (item i: B: \2 B% @: {4 {$ v0 T
[trade-record-all] of customer) > 3 ) g' R. g& o+ ?8 s$ X
[4 }* c! a2 ]* M& |4 {7 @4 {2 z
set sum-money (sum-money + item 2(item i [trade-record-all] of myself)); B9 a& j* d8 U
]
# p r" {( g7 a( J], a) W& k" i. Y+ S9 p7 o
let j 0- E% n! m3 a* k& @2 `7 S3 w4 E
let note 0 M) i' g* x4 K* Q( J* A
while[ j < people]# M2 Q! E3 ^! |; Q# z
[8 a" t' Z; m5 W( d+ C9 P
if( length (item i
& D% q3 K) ^+ {; e" d" \4 t4 P. K[trade-record-all] of customer) > 3 ), y. {3 Z* {6 D$ E3 z; j, w. t) X
[
/ t6 x8 R: ~( u. R" Vifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
& V$ Y: H; A, }1 ]9 H0 p[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]9 b6 I! @. G; a
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
S& F* W* n3 u]
/ M' D7 l9 m+ D! K6 I% {5 f]5 s7 ^9 t/ d$ Z9 e8 B H) q
set global-proportion note: E8 Y5 y% b$ M# `6 U
]5 n) h. U' t0 s* K$ R
end
$ N6 z8 @4 x, k. X4 k& E
+ H; S- y. {6 n% ?, x# a: \to do-trade
1 X$ n+ {- t8 ]# l* e% ];;这个过程实际上是给双方作出评价的过程; w4 o! T9 R& u4 [& Z
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
) f7 b$ I2 W8 T, a6 U' rset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价/ b' M5 B) M6 O6 S8 f; Q+ ]6 F6 `
set trade-record-current lput(timer) trade-record-current3 ]- C3 D" s8 \& V1 i
;;评价时间 f( T D: O) s) k2 y
ask myself [
' j D6 L0 N2 W* k, G) Rupdate-local-reputation
- T, d! i7 E' a4 wset trade-record-current lput([local-reputation] of myself) trade-record-current
" W7 p3 @4 @: e]$ u8 ]- Z, u' v( d
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself+ D0 ~; S! n# Y$ Z& k" P3 R
;;将此次交易的记录加入到trade-record-one中
6 Q; C3 b* R7 l, ^+ b" E+ {* U3 cset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
- e& }0 V( G- r5 {let note (item 2 trade-record-current )
: n3 i7 }' W" i7 X5 a* z3 cset trade-record-current" h! q8 q: ^* u
(replace-item 2 trade-record-current (item 3 trade-record-current))
$ n, M" Q& d1 j7 r' i+ ?" ?" _+ Qset trade-record-current
; i7 b+ o, X. q H0 N" q(replace-item 3 trade-record-current note)+ r/ e! u/ J- a8 ^( d6 ^! O/ K+ Z
2 o+ v1 `8 R. \! _: E. _5 }
; K; d# t, T7 z! Hask customer [
+ b0 @/ O1 ?2 `' H4 L7 Iupdate-local-reputation
+ S9 L! E, c8 F: w' jset trade-record-current7 F b" i) ^/ B8 q+ p$ o
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
0 d: o0 P: j3 m4 P# T2 h8 o]
/ @ P1 L9 Y8 u# R8 c/ `3 Z0 C- a$ a+ z
8 D! Y! {% Z3 s: W1 S1 {set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
7 D( G! h/ Y4 O# l. ~, b; h! r+ q2 o2 r# q% t8 O% o0 L9 i2 z
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
: p! }4 G7 V" p! T9 A;;将此次交易的记录加入到customer的trade-record-all中
* V3 E% V6 E% Eend5 z) g) h8 @2 E3 \% \3 N
$ N- M. b; h# g: @/ S$ b5 h
to update-local-reputation
5 ~% j# g2 {) ]* i# Uset [trade-record-one-len] of myself length [trade-record-one] of myself
) V7 w6 i* J* v
8 D" I" _5 e: G" l
# o9 Q3 @1 P$ h, B;;if [trade-record-one-len] of myself > 3 & t# p6 }1 V$ x
update-neighbor-total
& A( m6 C5 v( N' G- j+ I! |;;更新邻居节点的数目,在此进行
, [# i, q& A# j4 Q) K8 B W0 L% }+ Klet i 3
4 {/ B g: W1 N3 ^3 r3 Glet sum-time 0! M1 m. ^& G5 _9 ~& Z. v: x' T
while[i < [trade-record-one-len] of myself]
" N# B, E9 Y. A2 t+ {) ? }7 A[8 z# z2 C+ R$ H- F' _# k' h
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
4 ~' E/ w6 U V# G) sset i/ D# d+ A& y7 y, n- {# z
( i + 1). |& h: w; o f/ Y& E2 \' g
]
~$ H( Z! X& A. Z8 {+ k3 qlet j 3" K: Z0 b% X( B' w4 X
let sum-money 0
^8 n7 i. [' y; ewhile[j < [trade-record-one-len] of myself]
4 w6 a9 J9 K- f[9 O" J7 _4 S$ N$ h- y; m5 \/ @/ e8 A
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)/ k% c4 U* S' s* {3 P
set j
, e2 m0 m6 i. a7 b+ H4 A( j + 1)6 i6 P" l1 y- z' D2 B- h8 y& q" Z# A9 [
]+ C! |6 O0 |0 X4 k
let k 3" o X6 z) ?1 `
let power 0+ D3 E9 r0 n' A: P( ~% M
let local 03 B0 l5 I$ X* I
while [k <[trade-record-one-len] of myself]2 C8 |' X5 G+ q. q5 v; N
[
g t( z9 C) Z7 t/ z7 Tset 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)
+ Y) e: {4 I6 P, ^( d: s# Tset k (k + 1)
2 B$ T/ L: O: n3 _1 w]: ]7 q# s( k e- `, f
set [local-reputation] of myself (local)
3 {. Z9 Q% f9 T9 m# f) Fend
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to update-neighbor-total
+ `5 |# W; {* K# y9 U4 ]- X& l6 x; X3 y0 R; d L+ n) s
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ] J( q$ ^+ Y! [! U- F- l9 `% V
8 f u* x5 z& O, S( ?6 e- x) d3 q: \% q+ R K) X2 ]: {
end
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to update-credibility-ijl
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8 q9 b3 N! t- h: T6 N" { T% t;;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 y" S* q4 E* k, Y7 ~
let l 0
5 e- x6 s5 i# W0 Z9 q9 m8 }5 D( kwhile[ l < people ]8 ]4 \) F4 o+ s& D. N1 L: h3 k9 g
;;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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4 T9 \% ^- S, K( l9 ?6 f% }let trade-record-one-j-l-len length item l ([trade-record-all] of customer)$ x5 g8 Z) r; ]2 P& S: Y
if (trade-record-one-j-l-len > 3)
* Y; W4 V7 Z M. S[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
) |! y3 K- r, plet i 3/ s' }8 L# c; b% ~7 p2 R# `
let sum-time 0& f+ y9 G0 c& R8 S* y" E
while[i < trade-record-one-len]
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( ] N6 J% w* O) g* Q! B! G' gset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
3 Z- @7 [. g+ c) U1 ?set i
9 ?8 D( N' Y* n# W% {# u$ i( i + 1)9 ?, E) H3 F, p7 u5 I* A. M
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let credibility-i-j-l 0
% C' T! u4 T% X2 {9 C;;i评价(j对jl的评价)
+ V; G: S, p; c Ylet j 3
2 V/ i* ?7 m% `; Y; qlet k 4
0 y1 h" u) ` w5 I5 g$ x4 @while[j < trade-record-one-len]
) i( O- f* C G, X2 u[
& q: M4 a5 U. Y% c/ twhile [((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
( I7 p+ O1 [/ R& w& 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): ~4 R* e y5 {3 q9 q
set j6 A0 c! f3 M8 C$ j& e6 X
( j + 1)# e" o8 t, P) W
]
6 r8 p. ^+ d2 g+ 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 ))
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let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
. I0 u! }: Y6 a0 M;;及时更新i对l的评价质量的评价9 O! X) B) k& q: W, Z8 Z/ C6 Z q
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]; p0 B* R3 C$ e( l( I: x2 \; Y
set l (l + 1)8 l5 D* o4 V9 D' g* X- o& @8 Q8 \
]
; }( J' c" Z" X7 D1 v9 E) _- _end" e7 M8 k ?+ f
9 V% ~4 ? x" kto update-credibility-list
$ x/ ]2 Z1 M. P+ z6 b' K; Zlet i 0( b! z* @! a$ n) J
while[i < people]% z) m( l$ m) n$ o. |2 F
[
0 y) E5 d0 S8 E5 slet j 0
. ^8 B0 {0 W, W" N }& a, R' I1 H. Vlet note 07 ?3 o# U! A; Y0 ^) \
let k 0) g- t; V3 @$ _! W( }$ j* e: M w
;;计作出过评价的邻居节点的数目# V# g t; M1 Z% Y4 u
while[j < people]* S& H' ?7 Z1 ^3 k
[0 c7 v9 w1 L. U+ a0 y$ X: m
if (item j( [credibility] of turtle (i + 1)) != -1) T. e1 s2 n Y) k
;;判断是否给本turtle的评价质量做出过评价的节点
' z& u* M$ ]( y5 f[set note (note + item j ([credibility]of turtle (i + 1)))7 H) q6 q [5 A1 ~3 d
;;*(exp (-(people - 2)))/(people - 2))]
+ h$ h6 @7 q: h2 D9 W: v B Kset k (k + 1)7 M- Z) m% Z7 Z% c! B
]8 [, t: W' i+ B8 ^
set j (j + 1)
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set note (note *(exp (- (1 / k)))/ k)/ h5 \* z6 I$ r, K' {" m6 k
set credibility-list (replace-item i credibility-list note)
" _# z8 f+ C# `, o. O. \set i (i + 1)+ j5 W6 K4 N2 T. ]
]0 P, L- b1 u( \; p, D7 b- u( y: S: Z' |- G2 [
end
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to update-global-reputation-list
: X- y" Y( {2 l: ] flet j 0
4 W2 v" Q/ c9 o& X" l' iwhile[j < people]
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- o0 e4 n& d5 Olet new 0
' [2 m0 f& p# M3 {# a;;暂存新的一个全局声誉
. G0 t4 T0 O+ H) l1 llet i 05 r5 u a p1 ^& W6 O& |
let sum-money 0
6 F/ j6 i! A' u* W# A6 j" i* olet credibility-money 0
' A# |6 c) x4 Y6 |/ J6 mwhile [i < people]
( ?5 u# _1 W2 T' ?7 L7 Z1 o% t[
2 y- l) d5 M1 xset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))3 @, g. u/ P: ^4 i/ ~% O. U
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
& o/ |4 s2 v0 l. W0 Iset i (i + 1)
9 l( K3 K+ {. y4 x]5 g( }# B6 T; o' X: N& p0 F& l
let k 0
# C0 m( S( x9 P0 z2 {( Dlet new1 0
6 L# j- ?* {' v! c7 Swhile [k < people]. k/ w, I- ]& y* L" t2 \9 m
[
3 s# N+ G/ T' s$ A/ V$ a) {* } R I" A) Pset 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)
- m; b4 O2 x$ k. r: o& U. dset k (k + 1)
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set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) ' b" Q# x) U5 x
set global-reputation-list (replace-item j global-reputation-list new) V( V. Y" j+ M/ S0 W0 ^
set j (j + 1)- r k/ I# `+ h
]/ _! O, Y5 f1 T- |6 Z- V3 h
end6 A8 G0 O9 o/ s0 e/ C' q' {3 m
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, S) o$ b6 S! n4 b
$ y# a# U/ \/ Y) wto get-color4 C# R6 b4 c* [! t1 ~
3 a2 O' h% M9 e6 ^
set color blue
3 A$ }' i8 _& ]% V+ C+ p2 Oend
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to poll-class
# ]4 b- R5 L% Z3 _; C0 V2 d& vend3 M" u2 K; q4 y9 ]9 t( Y: y
, J' k3 ]$ ]' n( g- o) k uto setup-plot1* `' a- U' S9 g3 ?
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set-current-plot "Trends-of-Local-reputation"
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5 i8 p+ p5 b* r! _- M% Z# n! V2 Vset-plot-x-range 0 xmax9 k$ b. I) N" y0 s' G Y
4 [8 B& \. A7 U+ u( L1 p
set-plot-y-range 0.0 ymax6 t9 l9 q" V1 P) I1 @
end Z: M8 d8 z7 T# w
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to setup-plot2+ J- N9 @, B& f
1 d7 [; z. |1 ], F& I
set-current-plot "Trends-of-global-reputation"
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- x8 E- t/ v0 Q8 I& }set-plot-x-range 0 xmax
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set-plot-y-range 0.0 ymax
8 `9 }; k: I9 p' m$ b1 ~* `end
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* W7 s5 k2 A- o. _3 ?to setup-plot3
6 A! M2 f% `' {" v
3 W; T" c, I9 |, y$ ]! ~1 nset-current-plot "Trends-of-credibility", F: Y* V! A1 x3 A
; F7 l7 \( N# R5 P6 i% W8 n
set-plot-x-range 0 xmax
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* A" m, E/ _6 y: L" @7 d+ nset-plot-y-range 0.0 ymax
5 X$ {% B6 u( J: `4 B7 o5 f7 a/ ]end1 q7 X, J- Z Z; M+ M, c% v
! l4 y% v. M1 P7 Tto do-plots
- [9 r/ J2 ?% O, S2 nset-current-plot "Trends-of-Local-reputation"& @# h) H9 Q& q
set-current-plot-pen "Honest service"
4 J' s' r% q7 q& M* M1 Uend B9 d: n6 t) Q+ O/ S7 `
; L+ N5 M0 q' g) u[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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