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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 B3 s- @! d- o/ u# _globals[
' g3 b2 `9 x! g1 J4 [$ hxmax! U3 V0 U# b; @' j( F6 K! R! j
ymax
x X; L; [9 [* J% l) R# p( rglobal-reputation-list& d5 t5 A, D% e) p% B! L
3 t3 c/ W0 M" W f2 L% v;;每一个turtle的全局声誉都存在此LIST中) K- R7 |5 X, I7 F7 t
credibility-list
6 R9 f d; Z9 i( D, L0 L/ U;;每一个turtle的评价可信度
) f/ u) p. u8 X9 b A& h1 jhonest-service
# Q! p3 n+ z1 r& ^0 b6 Q Zunhonest-service
9 A* ?" F9 _3 O2 ]6 @: Noscillation p( t. p0 \. G( g6 g# O! V! W
rand-dynamic
9 R- c8 L, N/ r+ A/ z) X4 ^& B; O]
( N/ U. y- }* C" ~1 U4 t; f$ r- W. K0 q9 b* _
turtles-own[) v5 ]- ]$ K6 v3 a
trade-record-all5 y9 c1 ^) a7 c, O# P) s3 D
;;a list of lists,由trade-record-one组成% g$ T" Q" ~/ g( J. c2 j1 H( P
trade-record-one( \& [: l: g, ?
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录4 S& s$ c4 h2 u! V( A
' A9 i) q2 t1 u/ }4 z;;[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]]
: v$ }; e# M# b! l: e; f/ [0 @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]1 w( j( m: Z+ U) [9 w) p0 z8 V
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$ H6 V0 n/ ]/ m$ y: T7 _
neighbor-total
O- F% \+ ?. p;;记录该turtle的邻居节点的数目" J* Q/ R' W% P4 K
trade-time3 r+ s" P9 k4 h) D
;;当前发生交易的turtle的交易时间$ G: P8 u* |5 s* l2 s
appraise-give
( ?& H4 X& z, ~4 d D7 I5 \;;当前发生交易时给出的评价
6 I; G3 o3 p( W. P Q; A/ q- I$ A3 ] r' Kappraise-receive
2 p& o& a$ ~+ @" D5 ~1 l& v. f;;当前发生交易时收到的评价. i6 U; z9 i! B* t. n" o& f6 b
appraise-time
8 `0 H7 w/ u# G/ i' Z$ {5 @2 R( a;;当前发生交易时的评价时间
( D. ?7 c2 n6 o" rlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
- ^4 i0 q; f) X7 Ntrade-times-total& y% S( e7 J/ b$ Z7 z2 e
;;与当前turtle的交易总次数6 S, ~9 A: I( e! f
trade-money-total
! Q% O/ a; m) X \, N;;与当前turtle的交易总金额' ~5 s# ` N, O
local-reputation" B8 I, F4 b' ?! g" D J0 V
global-reputation
4 S) S, u3 ]0 F N! @credibility) f: w5 e4 z# v2 P# Y/ F
;;评价可信度,每次交易后都需要更新
, U1 `; f9 L. ~8 p Y+ |: `3 Vcredibility-all
2 ~0 J! ]# q" q6 x7 e;;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% I! k! u5 P- h+ y; B2 j
. h/ b1 T- U* j; |/ w1 V
;;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: v8 v/ a1 w; V
credibility-one
- T0 d9 ^ W$ R5 j1 F# y4 q$ L9 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
$ L4 J! f% y: o. fglobal-proportion1 x% |& f+ j1 n- F, m- e
customer) s3 x; |! n+ o& Q
customer-no4 ]! w1 f7 U$ I$ @( x
trust-ok
# g* r' r& S/ k* w( k3 d" ~' Wtrade-record-one-len;;trade-record-one的长度$ E' X* ]+ O7 {; @6 E
]4 a( W; @: W: u9 S- T+ u
. {* r' W* g" R4 r% A
;;setup procedure; D. B0 R% P* W! b# O
U/ z" d! c/ U5 \to setup
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ca* t) U* {) O, z. U( g( X
- N8 q( z/ s9 ~' Z2 \initialize-settings% Y' E1 J; x, u5 L( p' b0 Y
0 f2 ~. `) `! l" q- e. V% ]3 q- w
crt people [setup-turtles]' q3 _& ]1 k' Q* S2 O3 h
7 \% @" j J# j4 W: f) c1 B
reset-timer9 r) z" a) _" v8 d" z
8 m' ~- N2 E6 @" v" e7 k( p2 c8 s
poll-class6 H$ w2 s* B9 J7 Q6 z6 {) |
. s5 P e7 g# z+ y6 D2 {3 A% isetup-plots
( G9 z# c0 P0 \% v0 l; R7 m3 D# @3 L+ G
do-plots
% { `/ m2 I; c: S! hend
& Z8 |: M8 s2 x( g) N) A
% s6 J; N8 [+ `0 s. p/ b6 Qto initialize-settings6 U( S: Z7 _9 q% v: K6 L
- C& b/ e* ]% Q. d* e( Oset global-reputation-list []
+ M; G# y+ C! [( j6 e& |3 q
; @! b) S8 e4 fset credibility-list n-values people [0.5]
- B0 H+ u8 \6 R/ |# |+ F* b) h5 `. ?1 O- D. e+ ~/ Y, S7 q9 @& R
set honest-service 0
# A2 H$ K8 \* K7 I9 Q+ z9 M# |& d# K
set unhonest-service 0
" N. C9 E$ d [# X' O
9 D7 g3 o$ V) D: l5 z" e$ nset oscillation 0
9 F) t& Y/ A6 u8 N7 u7 I1 o3 Z' d9 W9 V$ O6 T7 l5 [
set rand-dynamic 0; n w- @2 O) S( f7 H3 z3 |1 f0 r
end, @8 J- |( U9 h, W" |
* \4 l$ a' U! ato setup-turtles - Z- {$ v0 i! w/ k/ w
set shape "person"
5 T* T- u' }' y# Hsetxy random-xcor random-ycor
$ v8 D* P* Q* n$ b: F) V6 b( pset trade-record-one []
* P% X5 F# n6 ^! _& K* D# [7 z# X- W8 c% r O* D, j3 O) B+ Y
set trade-record-all n-values people [(list (? + 1) 0 0)]
( ?9 j! Q" i& `. w" A
$ v: w8 J; m. t% \2 |set trade-record-current []
2 N$ ]+ F5 ?+ S' M9 w/ C6 uset credibility-receive []
$ o. a6 ^- F$ S# \1 H- `set local-reputation 0.56 W, x$ r0 e& v# q1 R: B
set neighbor-total 0
$ O) A( F! B, R1 _+ nset trade-times-total 0( P$ p9 v5 X+ G% n# j+ t! o1 L9 n
set trade-money-total 0
7 X/ i' v: k2 k- M3 a1 Qset customer nobody
2 R5 M6 N9 _0 I: hset credibility-all n-values people [creat-credibility]' I+ b) f7 F7 N
set credibility n-values people [-1]2 L- M/ X- ]; k/ g+ p/ E
get-color& X( p' i3 @4 N! d3 \! v$ K
) R% K1 z5 t, j9 B5 |
end7 A% t o- u0 i0 h3 \
) l0 z# `9 {2 W! _) _& {2 uto-report creat-credibility
5 c) |! `1 w' b! ereport n-values people [0.5]
" E! N4 U' i# k1 @! F- K( xend! Z6 {0 ~" q' _- d
0 i4 j! O! q9 Z% [. Z8 B
to setup-plots
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2 v) ]+ ~8 ~9 e4 m5 C: o. D& zset xmax 30- D: R. Y0 Y% S& E: a3 S' u- f
. ~/ N# |) o! [5 g1 I2 ]) y% } \set ymax 1.0
' b2 v* s* D) z5 Z+ d7 \; @& Q8 }) u$ o8 b( Q
clear-all-plots# e0 N5 V* i" `0 `8 P# ^
' Z- J3 h1 e% z: a# g0 ysetup-plot1
" i u0 L* E7 W1 q: X- v% |
" s5 I+ Q; E5 s _7 a! W; N! {+ _$ Asetup-plot2
' _, B; d; J# N! y: y* e7 Y/ o. R2 r- h
setup-plot3
# m+ H W* I& y, |% n' ~) |end& Y* w+ w, o2 o( q* `$ N( v
) B) e! D ?8 n. N) b# ~;;run time procedures
, s" T2 u/ _. w2 ?/ r, j8 o9 X; {7 w$ X
to go+ v% b# j* q0 j( @+ }
& m( T, f) X W4 b1 a( Y" rask turtles [do-business]
+ r7 e7 j; y/ J8 \. b7 x+ R: |end
2 t' ]7 x' S4 Z9 J# y3 u* r; ]6 n5 v/ q* u. N3 W, j
to do-business
9 e) h+ r2 S5 ^) t2 h/ Z
5 r8 q" `; w5 ]% z# ?0 `
. S" p* u! |- A. s# d+ Art random 360) P7 v; n' O0 |# `
% }" F/ `$ X) Y) o+ s0 J1 p
fd 1
* ]* }1 S. q, z: {7 V5 ^& H0 S1 z& A9 [: P @( A. J) y
ifelse(other turtles-here != nobody)[; o& ?! E$ d5 g9 G9 A' B/ {# y
6 }5 ^! U; e9 r7 r, Qset customer one-of other turtles-here
, W7 q u. Y: A* e; u; y
3 ?- n9 p/ l* r5 d. y;; set [customer] of customer myself& _$ ~2 Z( @$ k) W
. C1 K- x' ^& o, z7 @set [trade-record-one] of self item (([who] of customer) - 1)
& I% }/ W+ w' I( Z2 n I$ X; U[trade-record-all]of self
3 R$ S( V4 V8 @, u( S3 A;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
5 p* r# b; e* z5 l& M" e* x7 b
R# C2 z9 Z2 [4 Jset [trade-record-one] of customer item (([who] of self) - 1)5 Q/ L0 s8 L; d8 p- h. Z" C
[trade-record-all]of customer
& w5 X! K5 j/ M }& _( L
' f3 y% ~4 ~ S# Gset [trade-record-one-len] of self length [trade-record-one] of self+ b' u! v' z0 |/ h' k* E4 W2 m
/ e! ~% a( q* ?0 R! M" d
set trade-record-current( list (timer) (random money-upper-limit))" c8 \5 L- y9 D- a
7 M+ j+ ]" E7 g7 q3 P/ F
ask self [do-trust]1 A. A2 t1 _( n. p1 n5 L% k
;;先求i对j的信任度
5 L ]+ S/ J) ]1 t' | v& W! w, }: ? d1 e2 ]
if ([trust-ok] of self)
2 g0 f7 c8 W3 _' x3 O( F* p;;根据i对j的信任度来决定是否与j进行交易[4 Z) M- L& a5 C2 f/ q- l5 g2 F# Y) \) x
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
& \7 _9 c+ Y# d+ g, B4 P, P; O
5 W0 Y& u- p8 W6 e0 w& d[
1 I9 Z5 a5 H; j' A5 a* b
7 d( V: |3 [& J& W5 s: vdo-trade9 p$ {% \' j5 Y" G" Z6 \+ f w
5 u1 h( d4 f) V
update-credibility-ijl
1 e) W; p9 ^: n3 ]- k4 k, A7 x& N8 `7 Q( s
update-credibility-list
, B0 M! t& w7 {, E. U3 O, ^
' `5 ]( ]2 |5 }3 C' ?& ~ N$ N4 M5 o& M, {0 W( H7 W* t
update-global-reputation-list5 X$ R+ d+ y6 J8 m# K# ?
1 X3 B: a/ @! S: A. r7 d% g f& n2 O- epoll-class2 `+ p, C) a1 w4 ]; Y& X$ ]/ n
1 X! \8 `4 ~. J- h7 b
get-color& Y* }& V2 u; s( h
4 b5 j- o" v6 x4 n0 n* T5 w N1 V
]]
( L9 F+ D/ a" j, ?. w1 [! T0 R) `3 I- {& e) Y
;;如果所得的信任度满足条件,则进行交易
6 k6 d @* m. U4 s
% q5 g0 R% B, k5 F& X3 }8 V+ u[
! b* d4 |' u/ y$ l3 G, m) N: \8 Z3 \ W; o* p8 M
rt random 360/ z9 y- S* T7 m
# V0 i8 h/ Y' t/ K5 t1 Pfd 1/ F1 h& V! y) w( M, ?6 V
1 S* D0 |# X8 v- [" c* [; o- D8 ~]
; r, K( M" `+ w, v. I# W
+ Q0 i- G2 H+ Q0 y hend& Z. r) G i0 B; ~' B
- ~& h2 Q5 q5 _* F: w1 ito do-trust
1 v3 l5 h2 i" G/ ]set trust-ok False& x! r5 \8 M0 g. S. _. l
% O0 k" N2 f; A) D& M1 b" T- w2 E- Z) n
let max-trade-times 0- U) C) s) o! N. i$ m
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
; k7 @# n' @' I9 c8 [% Olet max-trade-money 0$ w- G+ N* ~: k# r! o; \" ~3 J
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]" r% i7 N4 T( v. [
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
% n% n7 I- {$ P) Z2 J
; O6 q; ~% s: ?# c9 }
/ g; L1 h2 K5 e2 p0 U" Zget-global-proportion/ E: l' X& l Z) H$ Y( W
let trust-value
+ W! q" t6 S6 s! Clocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list) [0 e! i0 W7 S( I [) s% t
if(trust-value > trade-trust-value)
$ `2 `0 d8 R9 \ B4 U( l! _# w- S[set trust-ok true]) B z& A) e6 D$ N# H
end
+ O3 }( _2 Z" [2 j
. p2 T/ s+ @/ k+ n1 s! ^to get-global-proportion
; A J" j9 ]$ G, V/ ]: G5 i. ?ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
8 W8 k! x, E# z f* V- Y$ i[set global-proportion 0]
: L) F$ r1 ?' `) m[let i 0
$ X2 }0 H+ Q. Rlet sum-money 0
' Y- z6 J+ t% g fwhile[ i < people]: c. [% S- M( D
[( |( d0 `9 r# T9 J
if( length (item i1 ?2 t1 ^$ T' N, J( i% d
[trade-record-all] of customer) > 3 )( D& k; @. s' c7 U- |
[
& a5 F! _( P: J" P! E- \set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
$ @; u4 n3 w; v7 s7 {]& V+ r# ^- [" L/ D
]) M0 p8 E% |6 d6 w7 Q
let j 05 q0 g4 C8 \% J
let note 0
( s/ O, R/ Q1 V( Z6 g6 zwhile[ j < people]6 u1 ]% i9 Q+ _1 K9 B
[
8 T+ J! S' o9 l kif( length (item i# O/ y- v9 k, x- }8 p$ ^* d: V
[trade-record-all] of customer) > 3 )# Q8 E9 J( g1 j5 c; e# g. D
[
& W. j( B' R7 K8 w! Q! W; I5 t1 Gifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
3 Z& ]' T3 v5 |[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
0 `7 Y1 Y* ^- u" V' u8 f8 B[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
0 ?& j5 j1 w! W3 }" n], |4 Z$ X5 _. j" G; @& l
]" ?' n; u& D: r, e' n
set global-proportion note
. Z0 U2 i4 |$ y]
) U% D; {! ?% ?; ~end3 b2 b- h( q7 z/ |# }; m
1 y- T, ^( Z- W2 t
to do-trade/ f# a1 I1 A+ o" h: c* C
;;这个过程实际上是给双方作出评价的过程7 a4 I+ e; j# l% H& m) j
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价0 H( P3 R6 D6 ]$ c1 C
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
* Y2 c& |2 C2 e* n+ lset trade-record-current lput(timer) trade-record-current
% B7 v/ v0 j8 {- h! `6 P;;评价时间
3 E5 T( ^2 k* a' b/ gask myself [
) _) s( `4 g2 I: w* wupdate-local-reputation
7 ~9 F- x* k2 U0 a: Lset trade-record-current lput([local-reputation] of myself) trade-record-current
* _' m7 L; ~! l]
0 A) k# \- L, d* {' S' Bset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
+ d( I$ k- V: }# p# p;;将此次交易的记录加入到trade-record-one中
& R- ^' g0 J" _* ^5 @' C' hset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
2 a- M( m; ^+ g8 l, A2 M7 dlet note (item 2 trade-record-current )4 H9 T9 M" Q9 g3 _
set trade-record-current
! s2 y, I2 V4 [. A4 j6 l(replace-item 2 trade-record-current (item 3 trade-record-current))' A. Q/ d0 ?7 m% ?2 K N! L
set trade-record-current' S: Y" ], e, c1 x
(replace-item 3 trade-record-current note)2 \! V# N7 m4 z# v. w6 T# y$ L
2 d7 c8 o+ r: w/ o& f9 u
& W+ x8 k5 K3 u" _$ a+ r. O0 O
ask customer [
7 F4 Q2 _$ v8 oupdate-local-reputation; R3 V# ?6 O2 | h
set trade-record-current
Q& O) Q+ w, L+ I1 y(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) $ N* u1 l% o' n, x& \1 c% E8 w9 b
]- t; Y& W: X' z
% b o1 K' \3 [2 ^% K
5 b W1 o; S* h2 L1 m9 E0 Vset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer; i. D& e* E/ |% C
+ h* U k9 D+ A' I$ U
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))! Z" y" \" R3 M) r
;;将此次交易的记录加入到customer的trade-record-all中: k4 E6 U: ]$ n( s, t
end% H4 m, N( {% e- [2 z
2 m( ~, g' c2 L) [9 i
to update-local-reputation p8 P. I% s! P+ G
set [trade-record-one-len] of myself length [trade-record-one] of myself4 V% H% t5 C3 Q3 i% `
3 F. e! ~% A9 h: B1 s; }/ \% m
. s6 O2 ^' p* W
;;if [trade-record-one-len] of myself > 3 6 z( A: H. t( b$ z
update-neighbor-total y# p7 O( {% _0 C+ m- S
;;更新邻居节点的数目,在此进行
( Q2 f3 P: b5 y7 plet i 3
0 c, J" l& h/ F& L7 n; Klet sum-time 0
# ]) {2 Y7 R$ L; \% }5 R/ x1 r4 iwhile[i < [trade-record-one-len] of myself]
( U) U7 }- L' a. w% n Y- l[
4 E9 v% }1 T& |" ~set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) ) D& A& a- ]" d1 Y9 C- s2 j
set i1 m" x4 }( y8 H% y: O7 N2 t; r
( i + 1)
, C4 P& ?! {; V* ?' G]
* d. I2 r1 M; Y+ Z: [% r# Llet j 3
+ e5 c4 h; T$ ^/ R8 ?2 H% K# T4 `let sum-money 09 i6 m9 \. `' d3 r9 Z; K
while[j < [trade-record-one-len] of myself]+ C$ X: v& r+ K( b# I/ w* R5 ~; M
[
* f0 M% }8 K8 t% Y9 {' E" |: Iset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
. @6 z' H( m' b6 ]5 @set j/ @& H5 b+ D( e V3 ?2 i
( j + 1)& ^" L9 {& r9 h# }+ H7 K& F! G
]8 a, n0 W2 e' ?( c
let k 35 y. B$ z7 t4 V- [0 L+ R3 k
let power 0( Y% y: \! }! g& m: T: }
let local 0
{: I( v1 e1 M, z2 ?while [k <[trade-record-one-len] of myself]: T* o' g0 c/ a [5 D8 Y, o% ]
[
) u) `: B! r7 y) Y3 J! Z5 Eset 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)
! B+ G8 `, K8 c9 b7 C" i9 Yset k (k + 1)/ g6 M* q% H a6 ?) s$ ~
]! Z1 ^* n! q, p3 Z
set [local-reputation] of myself (local)
; L3 `% h( S L: Qend
2 q" V1 R" C: s6 A6 h- [! m, P
3 |* [6 }# G& Z% eto update-neighbor-total: n6 f2 c( @+ P$ _ k$ X$ j
9 D# A. X% F" ?! H! Y
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]0 x7 e2 S. ^% r5 f0 F( t, y7 d
) e& L% F$ O3 z/ ?2 h2 e( Q0 P
1 C6 p+ {8 l# G# \. Tend, H5 b0 I$ m9 H! q- v! f/ _
: y# M. A% c# ?3 f# X
to update-credibility-ijl
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;;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。
& O1 W& t6 x7 }: Rlet l 0* x7 q5 Z% Q: ?8 G
while[ l < people ]
, ^3 S/ J% A9 N1 F/ [) |/ X;;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)
+ J y4 K; L5 ]9 Mif (trade-record-one-j-l-len > 3)
! }7 L' x1 y# i' c! h ~[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% A% M$ R+ X I5 V, M& N( [5 B9 b
let i 35 N! `# u2 \7 _* I
let sum-time 0
1 b1 ^+ d4 g3 W4 xwhile[i < trade-record-one-len]% ^! D8 h& [# F1 p7 r* f
[
" @4 B- L, v4 k9 Oset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )9 H4 _- d& h8 ~
set i+ t+ T! h( p9 D2 d# r2 x
( i + 1); _, r: W K2 R0 G4 B7 L
]
7 i7 C( R0 D; i, D9 L9 Y$ Alet credibility-i-j-l 0
8 F! l( C, x- m6 {8 }% A;;i评价(j对jl的评价)
$ {8 U. K+ A- c. w& [* Qlet j 33 H0 N/ z- r5 y) X9 @* X
let k 4$ e6 X" x& h- x8 Q l
while[j < trade-record-one-len]% D: t; l' J- @9 M2 v# z
[% ^5 u& {- Y5 ]/ H; G
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
+ T0 y# m- p! v$ k) vset 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 [5 M/ _: Z' b% R2 z
set j
8 q7 [) {: W5 {2 ~0 f$ T( j + 1)
+ ^! t8 e2 \1 C: k]4 m. x" a2 E1 @! o+ @0 d# S
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 )), A$ Z7 \9 s2 D' C
7 |, X m( J2 f% [) K" ]
, C, ~8 }4 }/ P/ i! B" B2 ?) Vlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))" \1 r8 o0 Z* [" n9 b0 b
;;及时更新i对l的评价质量的评价. \4 @$ y! A& P I6 A+ F
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
3 S$ |& w7 K: l9 Gset l (l + 1)
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1 {$ T/ L- X, u/ O/ E6 Z$ F8 Bto update-credibility-list
5 C& [+ g- n: m3 Y: L& X. _4 Rlet i 0
1 J7 J% _# \* [! q- Hwhile[i < people]* L$ J3 C! q1 M* l$ {7 R) ?
[+ Q& x- | y5 H% m5 z4 q
let j 0) H& w" b' L+ r1 I! s6 {/ C
let note 0( c9 }4 S' F; G/ O$ c) S
let k 0
" r8 h! _! e6 u$ K+ t2 k" q6 e4 L;;计作出过评价的邻居节点的数目7 Y6 T9 E( O/ A+ ]- r8 A
while[j < people]
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if (item j( [credibility] of turtle (i + 1)) != -1)+ r8 o1 _2 z0 u6 e7 x, C5 T
;;判断是否给本turtle的评价质量做出过评价的节点
* }4 j# e( e. _& K) i3 l" T[set note (note + item j ([credibility]of turtle (i + 1)))
, \3 x% D3 I" Z; b* j2 o;;*(exp (-(people - 2)))/(people - 2))]
) a Q% X( L( d0 `2 h5 Fset k (k + 1)0 G5 y6 u, e8 {
]0 p% A7 I0 E3 D R! J/ ]9 V
set j (j + 1)
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set note (note *(exp (- (1 / k)))/ k)' Z# B# e2 T' ^$ y& ]+ K- H
set credibility-list (replace-item i credibility-list note)
. e4 ~) s' ]1 W7 }; ~set i (i + 1)
: L2 q2 P' f8 o' n% Q8 ~# {]
3 L6 w8 e! D: ]3 x! P8 kend
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to update-global-reputation-list
5 S5 ?3 e2 T3 g# o, ?7 d* [let j 0
: W% \6 L9 M8 F( Jwhile[j < people]
* q) m, y' X, t2 _[: A( T& {! P( C5 A0 P" X# g3 V
let new 0
$ `1 D# A: B3 }% {' M;;暂存新的一个全局声誉; s# t. E7 A( Z
let i 0
0 e+ i- @& _; @let sum-money 0* \4 x1 v+ s8 j' Y# A: N) `
let credibility-money 0
0 W# X% n3 ^5 V9 d* c% R2 j$ N6 g Ywhile [i < people]
" U' j% B. r' q" g[
1 b* F4 A% I% e; C Lset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
# {, v2 I4 c: W" s& U4 }set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
l g c; a5 n( aset i (i + 1)3 V4 E# R9 g3 _0 B$ D
]
- J- W0 [4 Y2 S; ]let k 0% F6 Q" k* u, u" w& Q9 @
let new1 0
% P0 N M' Z# K$ k, h* xwhile [k < people]
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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)
& x( U( ]# X5 g. L. c3 g+ d+ yset k (k + 1)0 Y0 s) X1 m* T& p' Y# q: {
]4 F {. D8 g- N
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) j' A0 d9 A" V% x. d- |
set global-reputation-list (replace-item j global-reputation-list new)
' Y! X6 l* F' }% @8 hset j (j + 1), M+ D2 A& [/ r X* E6 c. l- l
]& }% d- l* Y1 D
end' H9 E% |4 b7 R3 E6 S6 W
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- [1 P( u; f; h& j* U/ _" f2 L: N0 q( ]4 J4 N% S3 p. q# i1 f
to get-color2 w+ m9 h" Y7 k2 l* X8 q
3 o) J% G0 ~, `6 V% x- r7 qset color blue
5 g8 d: Q- Z+ P- m7 X: ]end
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; v, B) k* B1 [0 X- D3 z: w7 Ato poll-class/ D9 u# ^+ @4 \( f" _
end5 Y9 S2 r7 o/ l& B& }
# ]: ~4 L3 l* j# I! V0 sto setup-plot1
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set-current-plot "Trends-of-Local-reputation", q% d- L. D4 I3 g* b5 v: q
- b& C) r4 H aset-plot-x-range 0 xmax+ F. }6 U7 e% a* |2 @( a
. F9 o4 U4 H8 x! P; [$ dset-plot-y-range 0.0 ymax
5 [: G$ M4 _2 U, O) v" m, ?/ ?9 Nend1 g" s; F" }" \7 G2 c$ f- C5 k
\; x8 _4 }+ v* m. `! yto setup-plot2( g0 m- m$ b* b8 j. R3 j/ W" X
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set-current-plot "Trends-of-global-reputation"- E/ W8 S0 R i* _1 T
6 J1 d. [) Z" |- F/ ~+ W5 m% ]set-plot-x-range 0 xmax
( I0 J( p9 d, r3 H6 ^
1 c" _. x1 N1 d: G3 H& [set-plot-y-range 0.0 ymax- ~, L- ]* F1 x' o
end# q& P, c; O/ S% j6 ?
9 K: V0 ?1 [- x. q
to setup-plot33 v! W, P' H. Y0 D6 Z3 Y6 ^
8 h5 a7 d7 v4 p6 J3 L7 `set-current-plot "Trends-of-credibility": O' c7 G- {- v# m7 v
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set-plot-x-range 0 xmax
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set-plot-y-range 0.0 ymax2 D Y& \1 B$ Y1 }7 w* y. t
end
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# x- r8 [" t( o' L* V3 x/ Yto do-plots
' j0 ~3 n7 j& Y6 Bset-current-plot "Trends-of-Local-reputation"/ O$ f( u5 e5 }( V) C( m
set-current-plot-pen "Honest service"' h3 s7 s4 Z3 v6 z* E7 J) T
end
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9 U' x1 J) `9 V/ {[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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