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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$ e+ ?' ^) W' t3 L& H- ?( w
globals[
, Q! |' ?/ U5 K5 @5 |, e G& G( a$ Nxmax
- |( N, ^+ q& E' B" vymax: [7 ]* g! Q4 c1 D% `3 Y
global-reputation-list' `' K% p h% a: g
5 R, @$ C/ d9 O7 G' F" _" B
;;每一个turtle的全局声誉都存在此LIST中
$ |! b3 F9 C4 E; q% xcredibility-list( d. [- g _1 l% Y5 A
;;每一个turtle的评价可信度
/ x5 J- b2 @0 u; \! U9 }# [9 w! Khonest-service8 b2 g2 U4 Y: m, c
unhonest-service5 W) f/ a2 N3 A! J( b
oscillation) @0 x0 H Q) _( U
rand-dynamic
9 f3 N; y; U3 I# ^]5 v" A, ^, I$ d
! q, V+ G' N# w* E" Wturtles-own[
* {7 G) ~7 d; B6 q. U( U- h2 Utrade-record-all
; t" L9 g6 O6 @: a, [4 [6 L;;a list of lists,由trade-record-one组成
; X: c) Q# Q ~" m% Z& V. z. ltrade-record-one' ^1 B2 g7 p1 |; U) C
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录8 {- p# T4 T* n1 L. \8 M
: {) i' L5 U% }$ a5 D" u; G- f: y
;;[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]]
' R5 d2 \0 T& F2 k, strade-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 v/ Q0 W& v1 `! l3 o; B0 A5 n
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list2 f: A N. M d1 }% W" r
neighbor-total
( [3 x+ ~, O9 r" K# r;;记录该turtle的邻居节点的数目
# m3 e# \$ R+ A6 x2 G. G' ktrade-time
# M. z8 B$ C; A" H;;当前发生交易的turtle的交易时间
" p k2 N, i/ Y3 h' g+ Oappraise-give5 e, N. i. @+ H3 V
;;当前发生交易时给出的评价
; q% s+ Y& Q9 o+ P) b- y& Cappraise-receive
2 i7 ^4 T1 h m" Y };;当前发生交易时收到的评价: [ M4 t( }; m0 T+ l$ a) p0 ~
appraise-time/ D( N) W9 ^+ V
;;当前发生交易时的评价时间8 t; z7 b9 S8 Q
local-reputation-now;;此次交易后相对于对方turtle的局部声誉* [$ G* t. U/ H
trade-times-total
- |! {( z- O3 S1 A4 j;;与当前turtle的交易总次数, R( n( D6 I2 T$ V# c# O# E. K G3 f
trade-money-total. o# I+ q3 k( ~" ?( w9 R
;;与当前turtle的交易总金额
* @8 K8 g5 }5 O, u4 F) Alocal-reputation
! ^' H9 S. Y [/ X2 Nglobal-reputation
. s5 f& F* c/ v% I1 ]2 g$ J/ Xcredibility
4 p0 _" ]$ G! x E" W;;评价可信度,每次交易后都需要更新- x- q4 V) X0 z5 n( C9 ~
credibility-all
# W S: q, B0 L& N0 C0 p o;;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
0 a3 Y+ `# I6 \% P
9 o6 x4 g% {" Y* W" 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, U6 Y5 L7 O! Q% z
credibility-one
, D8 R3 B3 C# M x9 b* m;;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 X, g( {- L9 Q; a' X' |6 j7 U
global-proportion: }2 H; Q# Q$ x! u
customer
) Z) S/ J! ^! o* ~customer-no4 O: W# R7 p+ M, P, Y: v0 t1 ~
trust-ok4 p( W: i0 ?. K. f }
trade-record-one-len;;trade-record-one的长度
5 m7 |0 E( T$ \" g' a" h]
2 R( [ _3 \2 Y3 c% ^# q% M/ ~- s: J+ W2 ^" k5 K
;;setup procedure2 \- x* x1 d% U6 v" E; f2 S
3 P7 b; }0 f. _$ |/ E0 e+ p6 H
to setup
y& }% k9 l- U: q( X4 F/ P0 T8 q& a& k( k6 r( s7 q: X
ca" W. _! q# l1 T9 k7 o2 |4 A
3 E R. Q# `) K1 r" binitialize-settings
+ K) |# j1 V+ S1 Z/ u$ ~* Y+ Q F7 k# L
crt people [setup-turtles]$ }5 N; |/ ^' ]& P9 y7 P% Y
- y2 _( r6 Y! y
reset-timer/ L% }3 J9 F% P$ w/ A) \
) S3 A( M# M/ M3 E% x& F5 z( t( Apoll-class
4 J/ j8 p- B+ F0 r7 y
e" m! Q- P. V8 j7 U3 Isetup-plots& `& G; {4 ]9 P6 ]
6 o+ L9 k! V$ K0 z9 ^" [# N: E
do-plots
7 {! N7 v. g; bend
9 T' Y# h3 n" u1 M
5 k! h; [. S2 W' I7 \to initialize-settings
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set global-reputation-list []7 \ G7 P5 e* z2 q+ A; U0 ~
# a8 p3 |( J) z/ B
set credibility-list n-values people [0.5]( i% C/ ?! I' k/ a( \9 f6 [* R
7 v1 s+ } Y4 x9 w8 U
set honest-service 00 W% t3 r r% e# x: }
: s& P$ B" \. p. _/ Y! C( Y! Bset unhonest-service 03 [, q* @( K; E2 I x
6 U( @% C) h; ^0 R* n# r% H/ ?set oscillation 0
- ?+ g0 k. p2 p) A( L& }
3 z, b( n8 V c$ Y6 X% Dset rand-dynamic 06 _* O, r5 G0 `( x0 ?
end
* j D5 j% h$ R8 [- W2 z& ]: H: f2 c' O; b
to setup-turtles ( j+ p6 b6 L2 \$ K9 V5 t" J& z
set shape "person"1 ~# e9 H; x# {; v
setxy random-xcor random-ycor% ]% R0 G' p' D X7 [: \' Z
set trade-record-one []! o9 W# [ `( n
& l5 a! O- t/ ?$ u% p1 Z
set trade-record-all n-values people [(list (? + 1) 0 0)]
* D p1 _# }& |0 @0 V) q; b& ]) T8 z6 {6 n& |
set trade-record-current []
2 B4 J4 E9 O! rset credibility-receive []0 R7 u/ F# b4 N0 m6 z
set local-reputation 0.5$ e% y! e0 b4 Z8 o% t
set neighbor-total 0( k2 h$ ]. I* _3 \" q( w9 r; V7 _
set trade-times-total 00 o' ~7 G/ Z1 ^4 d7 g
set trade-money-total 04 B% R3 q5 H. ]/ |+ `4 b7 P3 q# `( t
set customer nobody h* P+ g: P8 l' H
set credibility-all n-values people [creat-credibility]
) ~- o. y! k6 N. t3 ~3 }set credibility n-values people [-1]$ m! Y/ ~+ y2 z; O/ `4 e7 g- s6 C
get-color/ s f' F' O I- N9 d4 s# t
- z7 k: e- a8 X- ^- \8 E7 j$ |6 lend8 O4 W9 v/ {7 v1 v8 h- q
. i Y& s9 F; S) zto-report creat-credibility( a' p+ U, D+ j/ M8 N
report n-values people [0.5]
4 j4 f8 n/ N& m) Yend
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to setup-plots$ [: ?. K1 O0 O3 ~
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set xmax 303 f9 y5 u- E+ f% D+ ?7 n1 g
( V' F: R: _) l hset ymax 1.07 m0 Q" \& [! S* i1 V# X0 F) t
8 N; Z/ u5 J& I% f0 {7 W2 Z6 z3 L. s
clear-all-plots0 U4 J2 z; @8 s. }4 }( k
, ~ Q, _* w4 L$ N0 Tsetup-plot18 p: Z$ X4 `! N: r4 [$ s
' f4 `6 y# ^' u; m2 G& C3 v. ^setup-plot2
+ |) O( b# c: p% A) C+ `: n: a! I; `0 ^% z, r% M3 D* Z' B
setup-plot3
# e' a- W* J% O& v' o6 h' cend
$ ^: L# h; P* Q6 u* ?& D: n( }9 Y; h2 a! S
;;run time procedures
: X+ j: Q$ _/ V) n% t& v) c8 E& V
to go ~" r9 N7 d: m: Q' o
" _1 p1 x* O. t4 I8 X Z5 lask turtles [do-business]+ t% l- k i; Z m( y8 B l
end# G1 W* A/ X6 ~* E( r1 d/ \* y
7 l! V1 w- m2 m6 W. q
to do-business
2 d4 g# a% `3 l7 ?% \
9 m- u& V+ B7 M/ x
3 S" ]( F3 s4 \3 \, r' Urt random 360
% d: Z+ r; Y8 {( C/ F8 V4 w' ^9 v# @# H
fd 1
6 R) a1 M1 B+ {
6 ?0 S( E! ~/ |4 e k# e0 wifelse(other turtles-here != nobody)[
* e/ r; y7 ^' j+ |
2 V$ \3 T/ S9 tset customer one-of other turtles-here
' H2 y8 ?/ i+ P2 k
8 A g( B9 j5 N# m! _3 s;; set [customer] of customer myself
. u" o9 X3 J z' s7 E+ Z% J
% E( k( K& |, D6 Qset [trade-record-one] of self item (([who] of customer) - 1)' H# p5 f$ I j) x: C
[trade-record-all]of self
3 C0 L( W- p7 K w8 h3 @;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self- t( A8 a9 M0 G+ d2 N9 ^! ?0 \
' _0 ]7 U3 f5 u1 e* H. ^
set [trade-record-one] of customer item (([who] of self) - 1)
% E$ r: h, b3 v: Q[trade-record-all]of customer
/ v% k6 V1 ]* a9 g+ `+ a% O- o2 T1 O
set [trade-record-one-len] of self length [trade-record-one] of self
0 p" ^, o8 _$ u! b4 g
! h% O- ~2 k3 g M* uset trade-record-current( list (timer) (random money-upper-limit))7 T- L9 q" E; V
; H+ e) o/ O) Q% Q- |
ask self [do-trust]) k6 j5 _, k. u* b* b- W0 Y
;;先求i对j的信任度& {$ u7 t- p. l8 Y
3 n$ Z1 z: W+ z% oif ([trust-ok] of self)
n3 w( b4 `) k. T# S, x' C% E0 {;;根据i对j的信任度来决定是否与j进行交易[
4 u7 T; l2 O, w2 P% \ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
# O/ k; Y+ V G/ A v4 D5 Q+ h+ j9 e1 `/ `0 b
[
; o {1 S$ W4 E t. y
4 O% I$ ^; \. f/ }* ~: Jdo-trade! |7 V2 \( y; d0 s* |
7 q/ O+ E+ E+ y* v$ iupdate-credibility-ijl
H R% `; p' Z+ J9 x" h! o6 x( d8 w% ]; t
update-credibility-list
- {7 ]/ y9 ?' g! v( z( y8 x1 A( c o/ L
5 p6 A+ Z; n/ X" [( ^9 [; Q
update-global-reputation-list9 C8 F6 u' n. W" c, j7 r
1 F6 x6 s: Z. I7 j* k
poll-class& |3 m9 {# I4 I/ L' ` U0 y$ g
' ^0 f, D h4 z. u( p, \' p
get-color
! S% `2 ~" e& L9 ]" Z" @% |* a/ S' _& l
]]
+ c+ n. d- B4 g! ]4 I8 f/ |0 }. C/ ?% Z
* v( O4 ~3 u4 q. B;;如果所得的信任度满足条件,则进行交易
9 [- H* V5 z! P: P5 } q. u. b, V3 }. y) b
[
9 m$ R& d- T. m/ Z$ b5 g
, ]- L9 t' l+ Wrt random 3601 D8 d8 X+ w5 G0 D( x) T
2 B' `- ?! t6 D. H+ H: y# j
fd 1* K% i& n- S; O, h; ~& m
: o9 {% }, }! p& O" _& w+ c" j
]* s: m$ R3 @* B
1 Z- F7 h8 @9 H1 A" K7 j
end
* D# c$ C" Y1 {4 `/ o* c6 r, C4 I M3 r* S+ [5 I* Q! r
to do-trust
! G6 V- v6 }/ Q/ uset trust-ok False8 f: K+ g$ k& T5 L- m/ C
2 C2 ^/ B6 t& D' r1 D; Z$ f' Y* P9 ]
9 p1 f1 K' q i, r1 @8 F4 Zlet max-trade-times 0- K( g' V4 F* D n5 _7 R( F9 y- O
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]% h/ X$ O4 e# N8 \
let max-trade-money 03 i0 s) p+ _4 j- V" F4 o( H
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
0 c- v1 _! i* r- N# r% Olet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
, ]) d8 w# V( C6 f+ s- l, Y- }9 z. i, l' m2 {! `+ C
. T; V' ~, X6 D
get-global-proportion
f8 c; w( g3 Vlet trust-value
, D# i2 d6 f- l; e! t4 Ylocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
( P* z$ t7 G3 P& {# Sif(trust-value > trade-trust-value)# }5 q5 _/ Y) ~% Q3 J) `! j
[set trust-ok true]* W* Q7 W" j% P7 ~$ z0 W
end8 I, i& P7 J2 P0 B H- D
, i% \6 V# F9 @+ ^8 \: g# ^
to get-global-proportion8 b( g. H3 W8 |+ T( F% b) F
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)- y& T+ P) t6 G l% \: h
[set global-proportion 0]
5 e" C6 T n" C[let i 0
) |2 b1 c- y7 H7 xlet sum-money 0
/ _; G( ^8 Z( p: i- e, Vwhile[ i < people]# H4 o% R0 y- ^, R: Q J5 \
[
7 r2 I/ K2 h! ~9 M. R" iif( length (item i+ a# _1 F7 Q7 T. y! W' n
[trade-record-all] of customer) > 3 )
: `9 S, k0 E8 \/ l+ r[$ g& _" y; s9 O+ A/ M4 N
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
+ y( k5 S) s; u: K4 J( u]7 B# q# O- E# w L0 l% t
]) s. m# H6 D* V. {$ z& Q
let j 0
" r7 |1 d% A, M# b5 p( M3 Llet note 0' P7 w& i! q2 F( ?$ f6 p( R. }
while[ j < people]
6 e3 S! Q& d3 O[
# k. j. z0 R6 p, \) {- ~! bif( length (item i
; h" x# u" D) Q+ W! J7 }5 o[trade-record-all] of customer) > 3 )
4 I* `* M8 _ y" G[; Y* W# j4 c. ?6 P
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)1 q, A1 k$ }, G9 I' h: f/ {0 \7 q9 M
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]1 ^- [% m1 P& u3 T7 p+ h
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
& b/ B+ c/ `# y+ p/ u]
9 d- U8 D! O8 P* Y]
. B( V: B4 d2 X1 Q+ c) W5 t" Tset global-proportion note
3 T* V' X3 o# ?, f: w]
2 p: G" r4 ~4 Z. W9 I1 t6 _' ? zend6 Q: Q/ g" u2 v. J
& c* v! B V( d- C X$ Y7 yto do-trade9 S. w Z, ]$ Q7 }# E2 Y: P
;;这个过程实际上是给双方作出评价的过程
; u8 i) [8 |$ v1 Rset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价& b+ K0 x1 \) B% ]
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价, d8 R/ s8 r8 a( I" ^; e, T: J: f
set trade-record-current lput(timer) trade-record-current* v* i- o2 G' j/ c% P2 g
;;评价时间
1 C% I. a/ u# h$ aask myself [8 n% A0 R9 h( n2 S) ]) u" }
update-local-reputation2 c0 X, g; m; N- n8 G) M. O! n; t
set trade-record-current lput([local-reputation] of myself) trade-record-current
# c* F6 h( f( g2 P' l5 U]: N- y/ g2 w6 u" I
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
( `% M; P- j' [0 y;;将此次交易的记录加入到trade-record-one中
4 s$ B/ R5 W b; lset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)5 ]6 C) C( U4 w9 q0 ~
let note (item 2 trade-record-current )3 P7 n* J! w$ z& O
set trade-record-current/ X6 _- x% M7 B8 _( t8 ^
(replace-item 2 trade-record-current (item 3 trade-record-current))9 N# c+ O8 ] o2 `4 F" W/ S
set trade-record-current
: ~- N1 E b0 ?2 k(replace-item 3 trade-record-current note)
0 R1 T) u: }4 \
& I5 l2 o2 L4 n* ?
, V6 Y2 o, v1 E! h* b+ {2 {ask customer [" Z8 e* m, V8 P
update-local-reputation
4 F* }3 e( B5 c- A: D3 gset trade-record-current
! ?! x) R" b, m" m* V' }9 V9 I(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) + ^6 M( C8 C# R) x( r2 c# F
]) ]' g! e0 i6 T3 B$ a8 _# y! Q0 T
. b# d0 R- U% Q1 ^1 g4 l
1 E" j ~# j/ ]2 O) Cset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer1 }3 H6 G7 \' K
& Z5 c) |; s3 }# L& eset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))7 D2 Q- M. E( r9 s! X# I3 w- b' W
;;将此次交易的记录加入到customer的trade-record-all中+ U/ J( H/ f! Q3 [
end
! x; b) I1 G* t3 j, }: _' h1 q. c' j5 h7 z
to update-local-reputation
; B5 J/ c, g. R; F: vset [trade-record-one-len] of myself length [trade-record-one] of myself
6 ~% n2 S- ]5 j1 k
6 W$ S/ x6 x; k- ~% Q9 j6 L. r- D3 O' T2 l5 t5 p2 c1 T, @
;;if [trade-record-one-len] of myself > 3 * n+ W# g* K9 r) {" ~3 n+ f
update-neighbor-total
0 q7 S% f- I. u7 z& e0 _;;更新邻居节点的数目,在此进行3 h a/ I( K& ?
let i 3
6 x1 ~1 D) |; ~% Z9 L! elet sum-time 0
3 f2 j9 z( c% ?, @1 rwhile[i < [trade-record-one-len] of myself]
. \5 {. p$ u: F7 e4 M) H[
3 \2 o; P- ?" L* T+ T$ x) @0 \set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )2 e$ ]% A% I# [* p8 P4 ?6 t6 O6 k$ B0 B
set i0 o& d7 I; A* `; O: [9 ?
( i + 1)
0 w& F; h; G3 J! Z5 u, C( H! x]
! a! Y/ J# \3 D! j% Plet j 3+ ]: g% _$ z/ g9 C$ W
let sum-money 0& w0 G& s. a# R2 B! t, t, U
while[j < [trade-record-one-len] of myself]
+ S8 W, e; ~8 c3 |[' l) q( h2 v! p. K
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)( u, y; M4 l8 ?/ \4 T9 m
set j
0 ~3 y- H4 s- J( w& `( j + 1)
8 t: \" i( m/ @8 n# u], `" m" @, g# W* R0 Z1 Y4 G
let k 3
: p4 h- o. G0 p( L# A8 d' L; Qlet power 0& p9 f( |, }0 k o* h; [* g
let local 03 y1 W3 @2 u2 S J' _, i& r
while [k <[trade-record-one-len] of myself]6 K/ c, X3 `( K* d8 W
[6 Z* h8 D% J. t5 b! B" A% X
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) ) F6 D9 t9 [/ {# k. f4 ^% M! q; C1 m& z
set k (k + 1)
& s$ } @7 U. w) [% D]- p6 N- _$ U# `, M* F* e4 b
set [local-reputation] of myself (local)
# j% F' Q6 P2 ~/ ~end' s5 A3 @* i- d6 `
- g. R( F5 U' tto update-neighbor-total. j2 r& F/ ?6 o9 a% O* R
. Y2 i- i8 T7 m% R* U: J) F4 Uif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
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+ c! x0 r4 l9 O: i2 Z! y3 D& _! kend F& O& O1 A7 B5 l! r
4 {- r8 F6 C; [0 S8 F( w4 E
to update-credibility-ijl
# b1 l4 C. g( U4 U$ z. J) ^
1 h) t+ W; I, D;;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。
; |: y8 {) J* Y4 ?+ y: |' slet l 0
# i% e. V0 B7 y! F* owhile[ l < people ]
0 d7 z: D, Q! f( {% p;;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
6 o4 o' B# e0 P[
5 T( ^; ^! L+ O8 v% J" U4 jlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)( A. G @* I1 H( F
if (trade-record-one-j-l-len > 3). K1 d0 ], q1 j
[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
& P: n1 X% r- Q4 K& hlet i 3
8 S `( s2 m" i. C' Blet sum-time 0
7 K" J! a8 I: @; ]8 M6 Lwhile[i < trade-record-one-len]. X. S, H! y) j
[# t( P# j& Y0 E) c, Q1 v: p
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
. @: B9 B2 e# Gset i
! ~: ^, s1 f" ~7 X* ]: ~5 ~( i + 1)
: g6 z: M/ |. A. @. Q) S]
8 u. n7 `8 d T1 U3 ]% V plet credibility-i-j-l 0
f. @/ ~& f Y' h) N; y" Q5 @, F& i;;i评价(j对jl的评价)/ Z2 l Q0 J; N% v% p6 P0 e
let j 33 M' s% R- x6 _" t* O" G5 @
let k 4& G0 w4 s! B/ J0 f4 {/ _
while[j < trade-record-one-len]$ |$ J) T: m/ m+ F: C- W% p* T! s! G6 ]
[" G, B4 q! @+ J8 L" y
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 n( A1 s* m$ n9 B; R- t
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)
G d/ s4 z' Y8 M9 h( o- L Gset j
6 A5 e G% E- S( j + 1)
) C3 [6 S, Q7 Q0 R/ r0 W) m8 L]4 M9 C' Z, {( y+ l
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 ))
' Q1 i' W: p# T
) ?9 o( ^6 g0 F* i' s% n: Y, i8 b: M
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
' U7 D! y3 w# h x6 @. Q;;及时更新i对l的评价质量的评价
" s* ~, o0 F" V* \$ c) zset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
) P0 D3 a8 Z' A0 f2 H4 Rset l (l + 1)7 } Y3 u" E% I# s
]
5 W; J! S( P3 @& rend3 H, b5 v# h' t0 S$ `
' g" j7 H8 t, I! c. }9 o1 vto update-credibility-list, B5 F$ }) z6 @( G& Q9 z) I
let i 0
9 r8 s2 b/ A% D1 d2 i; q# {while[i < people]) W& ?- \' m$ f
[9 R1 B# y. H; S8 E9 V' s9 c
let j 03 I/ ^2 a% i9 |3 \+ C( W$ B
let note 08 P3 L2 Z- l+ r( f" R; S- m
let k 01 o3 X* B" {# u3 D4 Z- r) x
;;计作出过评价的邻居节点的数目1 j3 }. @ ]$ G, A | f. ^
while[j < people]; F6 h |4 G7 y$ n% `' W/ h+ i
[
' E+ s# c' V! z/ Y& n3 {if (item j( [credibility] of turtle (i + 1)) != -1)
- U5 ?2 v# j8 t) i) b1 J$ ?+ I;;判断是否给本turtle的评价质量做出过评价的节点
( A) n, k& |( N% r8 S[set note (note + item j ([credibility]of turtle (i + 1)))* i6 g" Z Q% U: f/ w E
;;*(exp (-(people - 2)))/(people - 2))]
% Z: r r7 z: T0 g& pset k (k + 1)
1 u' O& D M8 _. h* j* z% p: B2 q+ J]
) r3 _2 T+ n3 F( k' s, [set j (j + 1)
! e# W: `! m9 Y/ ]/ ?]- Z5 Y7 w% h0 U
set note (note *(exp (- (1 / k)))/ k)
6 b" Z, t+ C* _set credibility-list (replace-item i credibility-list note)
`' R6 ^ v% G: Z8 M" xset i (i + 1)
D6 I/ x n( i, S]) D) [0 e( T- v$ X# W% `
end' f) P2 i* t+ h9 X1 g
6 ~, {+ c2 E+ D% ?to update-global-reputation-list
g6 [0 I6 g' E2 b0 |let j 0
/ B, K- M% y" G7 _% X4 hwhile[j < people]3 q* c2 R9 b( J& c/ o
[
7 y, s* ` K4 M6 c$ V0 D! v( Glet new 0# M8 T( S: h) ^+ u; U
;;暂存新的一个全局声誉( i2 ^- p* p s( [
let i 0! d# F5 {. Z5 s; C h6 P- k
let sum-money 0$ P& u5 B3 T. i" f! N
let credibility-money 0
% O/ p2 g: r' Q) G4 j% f9 Qwhile [i < people]
* v$ y" O, E* o, H6 ?, y; A[* q7 z' d" p" V
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
# n- n1 e, s% k4 Q7 T4 D% f5 N, h) ?set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))" ^2 _8 b* h& f0 O% O* p; m! W
set i (i + 1)
: y; g" C+ E- f4 R: G' a9 X4 U% ?]
. Q( Z. I( e7 m, `- qlet k 0$ t3 K/ F- i9 r! |
let new1 08 \6 x: H* g* Q' V2 K& {
while [k < people]
( x' W. d: ^- o( l[
# p& L( }2 p% x1 j- Qset 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); u( H2 \! F! s4 U5 m
set k (k + 1)
^. h2 O9 \; w/ Y* Z/ G]
) y9 d. @7 \, R+ `. B0 Qset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) Q, y9 @6 ?5 q# t) a2 ~& x" _
set global-reputation-list (replace-item j global-reputation-list new)
# q$ d% r; [$ W# Bset j (j + 1)" F* z3 C$ O% o% e6 Y$ T
]$ m( Q% b, k& w8 r
end. j0 n* l/ S4 y: _; g
& X4 y9 e* f0 q: h* E9 S
- Y+ n9 S4 Z3 Y1 l
4 I& B* b k0 Z; X" n. C( lto get-color
2 t4 r3 ~( U3 P" o: G* V0 M3 K2 e* n" ~5 J
set color blue: w9 n9 W* m* R( P) H: `: K, L5 W
end+ l( P; a# `" K
- N' d8 h; G' Y" q+ l& Ato poll-class- z4 N& Y* U5 x5 s. g: K0 ^
end7 n. R& q( z( A$ ]
* E8 d [9 J: ?' ?7 U: b# i9 ]
to setup-plot1$ r3 o- E: u6 z6 |/ h* q/ c
2 r1 \+ i6 c: Y7 Z( |set-current-plot "Trends-of-Local-reputation"
+ Q) [# L: O9 R7 P
, l5 P9 U) i* @: v1 kset-plot-x-range 0 xmax% v! K2 }. q' `, W4 u3 a
" S. }8 P% H2 Kset-plot-y-range 0.0 ymax/ D$ E: Q+ \+ g. f# m
end
, N& |8 `& [) d k" Q9 \' F$ S& ?, a- M8 M
to setup-plot2
" s; q, w; O, X! ^
/ R# N6 k5 T" V% x# Yset-current-plot "Trends-of-global-reputation"0 ^: N9 H, p& d; H% ?/ A; }* U
: y) p6 X# c/ W: C0 J" C. Z' iset-plot-x-range 0 xmax5 s; \8 z7 D- C! H! w1 p
( O* E5 Y! \8 W3 Y4 vset-plot-y-range 0.0 ymax
A0 [) T9 o0 D6 o) bend
1 o% W6 o) Z( B" k
" K- [* u |1 }to setup-plot3! w Y" C8 i2 _# Q0 b
+ A, {, L1 T+ n; n
set-current-plot "Trends-of-credibility"
- ~& n( w5 x; j4 i. ~9 S
+ C9 w; \5 V. `/ ^ wset-plot-x-range 0 xmax
/ j9 m0 V% Z. A3 A; W5 |" w1 ~5 G: h5 Y7 c: x7 F2 ]% E1 ?
set-plot-y-range 0.0 ymax
/ g( d. x/ s& M9 ?5 x6 X5 qend, s' V9 s* H; @# s, Y! U$ A
2 w3 |) @. l b& h: @) Nto do-plots
2 _# z6 K2 R0 K; W p/ m! ~; z0 Kset-current-plot "Trends-of-Local-reputation"2 {; x' G7 A( s; h& c; Z# i6 U. a* N
set-current-plot-pen "Honest service"# G, b- N' L. v$ D
end
7 Q6 `; O* l- ?* I0 t# R8 Y, N
7 P' A) G+ H6 ?3 D/ s[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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