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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3 Q. e# I, P7 {8 d0 N# v# Q$ N/ V
globals[
- ?, n; F" k! H) S: zxmax7 t) d9 W& Q% E! F# L
ymax2 @! E3 G& p- ~7 {) C: ]7 S$ @
global-reputation-list
. X/ @& `- G7 o8 H% ^ B3 E5 Y- s" H0 u( y& N. h
;;每一个turtle的全局声誉都存在此LIST中
- ~" q- W t0 Ccredibility-list
" G; X$ o* _+ P9 K- g7 u* F;;每一个turtle的评价可信度8 m% y5 @; V+ c7 {9 q Q$ t- c
honest-service/ R2 A) [! u# Z5 }7 }2 c
unhonest-service
4 R. G {2 i, X( y4 yoscillation
8 Y' p1 B$ } i; y$ v& l wrand-dynamic6 Q# }8 N5 r4 A# H6 n+ z
]2 E, r z( L m6 [& ]/ z9 `
& Y' h, l9 r/ ~" L
turtles-own[ t- ^, W! D+ G: V. v
trade-record-all. D9 Q1 S+ h; K7 d$ ?$ i) Y* V
;;a list of lists,由trade-record-one组成6 L' q* G& n* l; Q' T g+ @
trade-record-one( Y3 @6 j! j6 a6 i1 S! Y ~
;;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 M# E a" r: ]$ V
3 K- M/ t1 k$ v
;;[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]]1 v! k. X, b) s4 \
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]% N/ C, i% b0 O4 g v; s0 h
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
# R! Y5 [9 I% `9 [; A& `, sneighbor-total
2 d& f" i2 ]1 n' v8 M8 y- i: ?;;记录该turtle的邻居节点的数目. `1 I! e2 y. V( Q- d+ G( a9 g
trade-time# [ L/ ~5 ^) Y9 K9 D
;;当前发生交易的turtle的交易时间
; v3 e; z/ X6 @+ c ~appraise-give
) d5 w# {; W: N" U1 f;;当前发生交易时给出的评价# a' C+ r0 Q) n+ `, V
appraise-receive1 ^( l( b! V! r
;;当前发生交易时收到的评价
4 Y' p, C2 r* X/ g* F/ X+ ?appraise-time P/ w9 h1 s5 y, Z" ^1 Q3 {7 P! Z H
;;当前发生交易时的评价时间
9 M$ _- }' K1 S+ x6 `2 Tlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
5 f# L9 K6 {2 f1 z, Jtrade-times-total
+ \/ R2 G0 }. {- j) T/ \;;与当前turtle的交易总次数* q3 V5 R! {) [9 y
trade-money-total2 t4 u* Y/ ?- a3 o! O
;;与当前turtle的交易总金额) u( A! V) J+ _/ ~$ P8 A3 D
local-reputation' g3 h+ a1 F1 W+ |1 } b. t
global-reputation
( V1 X+ \, i2 Y. t4 O2 N9 A# Ncredibility
. l g3 e/ M! w5 {;;评价可信度,每次交易后都需要更新' ?4 _* F! A% j" t! @
credibility-all( l" S3 R1 N( b! Q* Z: r
;;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
% \# Q' r# u$ B: R+ _, M7 l7 ~) I; D% {- l
;;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 n! G- B9 h2 _# V- _credibility-one) v2 m- ]& B( z" H
;;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
: p+ J8 |' Y) O& c( w. gglobal-proportion
$ C( S1 Q% M. ~6 ycustomer
0 }) C- {9 H. Y, p4 I1 kcustomer-no) W# O& `* _9 n
trust-ok, Q* Q3 {* h" o8 ]3 j
trade-record-one-len;;trade-record-one的长度6 ?3 n* {* E* S, t+ {2 S F
]; Q- z" @5 |* }7 H0 l
C2 g4 Y; M, Q+ u/ r$ v
;;setup procedure6 I! l- O- Y, \; u& G
1 W1 o7 ~, z. Pto setup
5 O; D0 a8 x# I+ Q* X
# z% ?8 [# d R, j+ Mca
3 {1 F4 E0 [3 v7 d1 O6 S
4 s1 D& }$ \3 r3 a2 D K# Qinitialize-settings0 ~# g) j& l/ j
1 H. K- h4 E. a: a; ecrt people [setup-turtles]2 l' N$ O; {. e# t- l" U
. Z, z' t$ D3 s- O6 d( P
reset-timer* v$ K$ P; l( E
+ X$ R h8 @! L) j# V; `poll-class
3 Z- l6 g5 E( v. w* l! M/ D1 S, r6 k
0 H! o3 G4 b u) u* X, S/ K, Isetup-plots' |: ~% {, R, w. C8 H& C+ w. e6 @& |
5 k* J1 ~& W8 hdo-plots$ e$ s W. I7 W! B' w* _! F
end
, h$ E- U2 S& V- I. f+ T0 k0 ~5 _2 M# n
to initialize-settings) `* @0 C- @( Z" ^+ v" H# K1 q
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set global-reputation-list []
9 x! Q u( r- S, J' U
. M9 e1 S/ B: J. K: k' [: lset credibility-list n-values people [0.5]0 K9 i2 S+ N2 Y' Y {
; a, j4 T* W# f+ m2 e0 Z. |4 }
set honest-service 0: J* |) b( [% P; c+ e0 \" c
: N X% _& V# x+ vset unhonest-service 0
9 P% M. c. N: w3 v. u- \! [: K, q' U) ~; H9 ]* |1 _
set oscillation 0
! @0 r/ e2 c+ F0 o( L5 V8 J6 f3 p
8 ?/ `# I, v" m* w$ L* uset rand-dynamic 0
& U' j4 I. |) y/ a0 H/ @end: p5 y3 Q2 [# j9 k
+ c y c2 O) k: e1 _# K9 y' I* vto setup-turtles & q" @' F9 z5 g& y
set shape "person": }; J/ A- M0 z( [: Z
setxy random-xcor random-ycor6 R- a! p2 S1 R* X: \
set trade-record-one []% B8 P4 N$ b B' X$ K: W2 n' D
9 \) e6 w) ^* X$ I [" Qset trade-record-all n-values people [(list (? + 1) 0 0)] 5 B! r, x g G$ _5 x+ [
: }1 D: p# O. dset trade-record-current []+ N( s, q$ ]; y* l8 e& r
set credibility-receive []! z& F: G0 }1 F& |- M* ^$ m
set local-reputation 0.56 ?5 h c7 F5 `6 g; M! n* W
set neighbor-total 0# y( A% ~+ T$ F! F }$ Q/ S
set trade-times-total 0 i6 [2 b+ b* X" K, Y7 n9 r# g, f& a
set trade-money-total 0# U" z" e7 ]8 i& V: Q1 R
set customer nobody" l t3 \/ P2 U( z
set credibility-all n-values people [creat-credibility]
7 {) D3 o& V5 [* x- J) ~set credibility n-values people [-1]2 o, a9 K! {" S. }+ u
get-color
& G* y. z1 b0 |( }$ B- g: a% a$ @) O: R# S' v0 H* @- z/ }$ H! ~& f
end
+ u( R/ B/ {5 R- c# S9 m7 |) q, i& N$ V3 B
to-report creat-credibility
) n2 a7 ?2 ?- {% E; a7 V, I# oreport n-values people [0.5]
) }& n6 o) M2 o( d9 B; Z) Nend
# U8 n$ k+ S. X
! n" w# h% @! V7 v7 N! Hto setup-plots
+ B/ b8 T& \1 S" i0 m+ V" r/ }
; D$ |" t7 K0 kset xmax 30
9 C5 l6 \/ w( W8 r
+ y# f8 ]& k2 K; X3 Y; \8 lset ymax 1.0& F7 e2 u2 y* y4 i: G. E
E! m# B/ w3 Q. p dclear-all-plots, y2 E: ]9 b% p0 g% F! D! d
! B+ N8 T1 V6 Nsetup-plot1
/ }; n+ k8 p, F* U9 _4 O0 T& U4 u2 ~9 n# e) a: F$ i7 P0 g
setup-plot2; k# T R( q' c. T
$ p0 u8 Y- W) r5 D- Rsetup-plot3
T. S' _6 c5 V; y9 R- s2 @$ ~, Fend A$ T$ C3 j# e% Y* ]- k% D' H
* }" p$ \% m3 z1 L# s6 m
;;run time procedures
, n5 p" ~, F1 Y& D8 n4 O f
1 F, r# y, P. hto go3 P- ]* O; m% I2 t* n8 j- T D
0 A% N3 F! E K! M: `ask turtles [do-business]4 b" k/ _8 c$ c' R5 Z/ V1 Z5 s
end; D& k0 F. U( c: v& h; d: f1 R
" k" u: S' A- L. b9 Z3 \
to do-business
5 j7 r$ q; {7 G d3 _, B9 L8 U O1 x$ Q, e
9 Z: b8 i9 r; B- @# B1 S9 S
rt random 360
6 b7 k; g4 r3 [/ @3 n" u3 D9 _
E' ~$ ^9 e! H' @1 c# W8 W) Q( w8 Wfd 1. E' A6 H- m3 R$ ]- ~
0 d0 i' x/ N5 k; c5 X& u
ifelse(other turtles-here != nobody)[
2 Z. E& K1 G1 M# X* y4 d* O% y2 S. X2 M; _# D" F# i
set customer one-of other turtles-here
: W+ U m# Y. h* G+ Q. t7 v0 g' B+ F
;; set [customer] of customer myself
1 x/ B o6 u% T* U* G$ L4 k1 e% H3 W* r8 G! W
set [trade-record-one] of self item (([who] of customer) - 1)+ K% x, S% s2 l$ K
[trade-record-all]of self
# W+ T. Q s& y8 L;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
, u' F7 s2 C& P8 O
" b' K5 M. ^; u. P2 r+ `set [trade-record-one] of customer item (([who] of self) - 1)9 @# D! {1 f, G
[trade-record-all]of customer5 O& j3 v: |. G- Y/ `# e! ~( Z1 r. B
% {: p/ b+ q1 M9 S3 h8 b. \set [trade-record-one-len] of self length [trade-record-one] of self( J- Z$ o' v. l: h/ ]7 Y# r* ] g
( S7 C1 w$ z& L* [; a
set trade-record-current( list (timer) (random money-upper-limit))
& ?# V. H+ c4 N) D4 v4 I" c3 k" d) b. a9 k2 U! S R E
ask self [do-trust] f, \# U6 H# u
;;先求i对j的信任度" |1 |" _! h$ \% L x; u, I
8 H4 Q! \" ?. r! K! `% Oif ([trust-ok] of self)& v! Y& {; n% p- A: ~" L2 L* ]
;;根据i对j的信任度来决定是否与j进行交易[
; m2 x9 _! t# K+ {9 ^9 {0 ?) pask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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+ k L* T) K# Q9 Q/ n[/ [1 G) J* r3 E3 R0 d
( u, i0 h% n6 [: u+ j
do-trade
9 I5 S5 ]; C8 x! l5 d/ `: f; P$ d" j9 {: D& f1 N1 i. t2 A0 Z, f
update-credibility-ijl
2 B9 p( c3 Q- _! p9 q: F# o" ~1 T$ O
update-credibility-list
6 ^. w* k) _2 X. E# f" Y1 C# s9 q0 w: A+ d- Z4 `9 d
2 c" [3 M8 S; H5 b0 O0 j9 t Oupdate-global-reputation-list
c1 i' L8 t& I9 x+ q9 Y, T. d; b. v% |- a! \3 J
poll-class
$ h8 i7 R4 K1 |% A$ v; S. \( p, N r* U2 T; v
get-color/ V2 y2 p, t7 Q" _
6 \7 A3 X" x: @$ @% Z# R
]]
0 w3 \' I# v3 Z' `7 X, n
1 M5 N" R2 g& h$ c;;如果所得的信任度满足条件,则进行交易/ P |( K* D `
9 u$ t: g) h) m3 u$ b- z& \1 h6 x[" ]- N/ j& `. w
" N. }! F% O, S0 L# C, L7 J
rt random 360+ N% i) J% O' _! A$ @% e
, m( B# w! k; p+ i, m
fd 1
* \5 j* F/ ]$ c5 o$ G$ j3 P
9 T V- S2 n" U0 j3 C]& n4 |1 Y; S6 h4 {
$ ^# \; S4 S4 ?( j3 m' r. I+ k* r& N
end: O9 A: o/ i5 N( D
$ M7 u1 ?: G0 j6 h! Q5 I2 Cto do-trust 3 H7 X+ i% U; @3 O) B: |; b: Y
set trust-ok False/ _' I9 Y8 ?) t
- f5 R# B$ K7 P4 _/ m
- ]7 i D, v6 u0 flet max-trade-times 0
+ B$ I. _6 K" C1 D3 X/ Mforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]& U0 b: x# _5 s6 g9 H2 y
let max-trade-money 0
c1 L$ y* \; E* i; U- b( Wforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
: m- S5 d# K3 ~1 Clet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))0 I% P$ d' E! v1 J. u/ ^; [
$ h0 V, \& p3 e8 q- @. _, G( t$ k# Y; q5 g
get-global-proportion1 C) f' _4 S. I3 @" ^
let trust-value
, X3 q* m" Z8 J2 p$ A* Jlocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
5 L! E( V8 B8 Z$ hif(trust-value > trade-trust-value)- ?, E' x% r) S/ A E6 M8 r
[set trust-ok true]
v1 P9 ?( o. h8 T7 _( cend) M8 L! o* }2 X5 \; s: {
3 c" f: |" D' Z& Z' E1 ?
to get-global-proportion
3 O5 w; H/ P5 P, M% |/ C- C+ lifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
2 q# {9 c7 H6 X$ E- R; _$ n[set global-proportion 0]
" k: ~# u$ v" X& h' Y[let i 0
s4 @$ A2 u. q/ plet sum-money 0
, Y1 U& D7 `- T* I& [2 H I$ o; Awhile[ i < people]. A, U! G: N3 [% L; m
[
7 a& e0 x5 u/ o% T pif( length (item i
# G& G! k- ]2 B[trade-record-all] of customer) > 3 )
. t9 {# ?6 t" b) p4 c[
# B; ~3 ^" Z: }set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
6 w6 {8 f6 L4 C, }% q]5 ~! ~& x/ s& y! c0 c0 T+ f0 \
]1 _: J2 I2 C! f/ y4 ~$ u1 `
let j 0
& ~: \; q3 M* k5 _4 rlet note 0
6 p6 D m% R6 V, [3 {while[ j < people]% x9 K' |: R% i9 a h5 A
[' |- @$ K0 z8 G/ ?/ z
if( length (item i
5 s; r/ d* w5 z( C" H* n3 l, ?% K6 M[trade-record-all] of customer) > 3 )
9 m6 W3 D+ p5 b3 Q' o: N8 e2 ][
' @2 E3 N( X, q4 ]ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1): [$ \( Q( A) E; ?. F
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
, ]& l" N/ k v9 j9 f1 P[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
# [, n$ r7 @- U8 ?1 D$ m9 F2 n]* ~2 m! O3 {/ w% L8 K* l
]2 @/ k `! Q7 @
set global-proportion note5 R- H+ p+ Z6 v5 ?/ a
]1 B) D" x9 }5 o0 c( C
end
4 s, A$ u2 J8 r
2 g2 B1 w- P E+ d/ z+ Y) U3 Lto do-trade/ O! P% M" z+ n+ p
;;这个过程实际上是给双方作出评价的过程
% i8 l! ^0 F2 @set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价: l0 E& W3 b: ^/ |0 S1 P9 L& m
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
z( G) J \7 K6 @, K9 N/ \( sset trade-record-current lput(timer) trade-record-current
1 H( S$ c2 j9 C- w;;评价时间
- J4 z1 I5 `" R% ~; b1 yask myself [" z, }( [8 F+ j9 i D; {: c
update-local-reputation# |; D: Z3 n7 p
set trade-record-current lput([local-reputation] of myself) trade-record-current' i7 j1 I/ `) z7 u4 X
]
& x9 H7 l, ?1 ^5 G) V/ K( Fset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
$ i3 t3 V8 ^/ ~9 t) m" Z u2 j h;;将此次交易的记录加入到trade-record-one中% C$ g% G! r) q* {: D I: J
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)) F+ Q6 H6 a: \( u# ?: B6 q; N
let note (item 2 trade-record-current )
* }$ H5 y% N8 x( uset trade-record-current J" N7 x8 G# i7 a$ Z
(replace-item 2 trade-record-current (item 3 trade-record-current))' j/ G! R' t# F( P
set trade-record-current
6 h3 S# D2 K1 ~$ [0 ^ q% ~3 Q(replace-item 3 trade-record-current note)7 C' n' r8 U# ^" O' b% U
" H1 c7 @7 S) |5 V" I, h& g
5 }' i+ P7 Z; ]0 D/ ?ask customer [
h' }. R- I- l$ X+ r; p, m H: x: fupdate-local-reputation
: Z$ p( N" R$ t9 w' z4 F9 V1 Vset trade-record-current
" |3 k' Q- C9 x" l6 i5 W(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
) n$ X6 e% R# ]& b- D/ D' _! T]
8 C. L0 \- a8 z! k% ~! p+ _, A. E3 q8 L) X" G s- c
3 l/ c e, `' d4 s# u6 }( Eset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer* K- m2 u) j/ d1 _# i
& p6 M2 S8 s1 t( y% ?7 q
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))8 f- {; l" W+ s* }9 [' L
;;将此次交易的记录加入到customer的trade-record-all中
9 H( n6 Y: X! C- z/ L6 nend8 Q8 S( @8 M3 _6 M& a
& k; n `& p! @& Y9 ito update-local-reputation
2 m- j& {7 b, G# a* D7 P [set [trade-record-one-len] of myself length [trade-record-one] of myself3 D' O" m/ D" R3 [
( T1 y' N( j h; a
2 ^7 Q8 V( ?/ R8 B: I0 x$ S- p;;if [trade-record-one-len] of myself > 3
5 B: V: C% ?: {& ^update-neighbor-total& S+ L, ?/ _) O. L. L
;;更新邻居节点的数目,在此进行
4 q7 [8 s% x8 g9 l3 Vlet i 3
- x) S g, d6 K3 mlet sum-time 0' S3 l. Z l5 B- f
while[i < [trade-record-one-len] of myself]& t# z1 E7 S, w% d7 P$ n
[8 F* P6 V) Q* J( z' D. w! y: K
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
: C( N9 r0 F$ z5 a1 ~) h: U7 @set i0 P# \( A( S; X% b [( z
( i + 1)
; u* h) B! ]6 J: R5 _8 A O7 P4 J]
' l1 ]" `4 n2 V9 B2 U3 blet j 3
g) E* s5 u* J4 L; r. l( ylet sum-money 0
- V7 ^& P! d/ ~/ }$ ^3 _while[j < [trade-record-one-len] of myself]
4 E0 L0 F8 T8 r% i# @7 f& l[
% Q. f N5 Y) S9 |3 K2 t- z9 H- z1 vset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time): S* L9 K6 k# y8 g$ d$ j
set j L5 q. t: k0 u
( j + 1)# Y4 k* h- y7 B/ ?. v; K
]
5 _/ G5 ~$ P& e/ J; |let k 37 V+ u& ~. T$ U3 G
let power 0
% ?7 w$ ~! _) d F2 Vlet local 0# R6 t B3 x3 r
while [k <[trade-record-one-len] of myself]
& e& ~) @. R" u% d1 f[
3 V5 `5 ~0 O& V; `& l( C5 z: xset 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) 3 p. {* r. i) V1 |, t8 z# ~3 q
set k (k + 1)
0 j9 K; n4 J E]% H! _' W C6 n
set [local-reputation] of myself (local), \" L8 b1 H/ c0 y
end
5 R2 s+ [+ D$ k' t( P* ^, X {$ ~ q2 j8 _1 M+ {
to update-neighbor-total. r+ Z% T+ E2 M: s* ^3 O5 j( X! I
/ c6 ~: I- M; O* b' p, aif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
. b5 [% h4 O+ A% C3 k
1 r/ N& _$ [8 g# K2 o
$ H. S; S& i2 P% s- p) Oend1 h9 Q( S/ }; W e% E. ~/ c. L6 S( @
" ?, N- h0 E) Z+ U2 s+ @to update-credibility-ijl
9 O% N1 i: C. `9 \+ Q0 A7 ]% k, j" i/ b' Z' V9 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。
9 ~$ ~( O" O2 C" Qlet l 0! F/ O! m. F. w
while[ l < people ]8 Y8 V# |! s& ^8 v: H& e* I# ~
;;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
+ B& ^/ `- I, t8 W/ g# W[
* Y& J3 P' z! P. L. Plet trade-record-one-j-l-len length item l ([trade-record-all] of customer)- M( n7 O. \7 ^
if (trade-record-one-j-l-len > 3)7 o7 e: R1 w1 m
[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% o- g, p! P; R% G1 H7 ~% V* Z. f G
let i 3/ g% R ?9 ~. H. V7 S& G8 I9 v6 V
let sum-time 0, h7 C2 |6 m2 U6 f. _1 L+ c
while[i < trade-record-one-len]7 u* q: ], B2 }) y
[
! O% R5 i9 [- ?: `5 r5 yset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
6 w3 o$ m! R1 S! v( p9 pset i1 X% t. D5 d4 r( T
( i + 1)/ y2 H; F! r% L( V
]
4 D0 D$ J6 u+ @2 G6 z; G. @let credibility-i-j-l 0
9 l8 G0 n3 b: Y1 h4 j% \;;i评价(j对jl的评价)
: l. [0 s! l0 p6 klet j 37 E# j. }: I6 R2 Z( a! S5 V
let k 45 w( A9 i0 Q' X8 Q
while[j < trade-record-one-len]
! [# P! d4 G5 g+ c- j# B- `[$ v5 _$ k, T1 [, M
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
: ^; |6 f; @4 B6 f- Pset 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)
) D y5 a& S0 ?$ ~! y( c) z* yset j
, Y M- c. a0 B/ J2 H# X* r9 t( j + 1)' P n0 F9 z, a1 h9 i
]
! {) R# e! q8 B9 g6 t1 u$ ^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 ))
t- C% y' }8 c# A
6 g0 Z; z7 {, n2 S3 R
6 z, W- k. a% T5 H# K3 \let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
$ i+ a0 n/ u9 A# v# m;;及时更新i对l的评价质量的评价2 N i% ]" N5 S( B! N& O3 K4 n$ h3 z
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]) a: z/ p& U; ^% I4 x7 q) f
set l (l + 1)3 ]; j# A3 s, \4 q1 w- |/ x' b
]) U% x0 h* p; M' h# K
end+ `1 F; ]8 Y! k' C4 v, B# Z
7 B$ `( T" d4 v# J6 Qto update-credibility-list
# V9 A- U7 L6 Tlet i 0
w9 G: Y8 V( z+ s) Awhile[i < people]- j7 A2 Z1 J1 H$ b) G) ~( H1 T; m
[
- i) w& s/ u$ _' {. S4 e- {0 Plet j 0
, g0 J, Q2 A0 [; h/ i( A. e, ^let note 0
. X+ C; t" n- A2 E$ Dlet k 0
/ M8 `# n. C' F1 g) F9 B" M;;计作出过评价的邻居节点的数目9 Q) Z( K% W' x/ k5 }9 k
while[j < people]
7 }9 x) I5 r6 F' g( i) A[) W0 u! h3 K* ?
if (item j( [credibility] of turtle (i + 1)) != -1)! G2 _1 b" o; s0 d8 l
;;判断是否给本turtle的评价质量做出过评价的节点0 u; |# ~0 u, _" a \ z
[set note (note + item j ([credibility]of turtle (i + 1)))
% @ c& |/ R1 l;;*(exp (-(people - 2)))/(people - 2))]% }* b3 d" F' y! `/ t; _& g
set k (k + 1)
# ?5 F/ m( k) ]2 `) m]: w1 O0 @+ \" |1 m
set j (j + 1)
# Y/ _* h v/ X% P {]6 ]% M N# L; O3 E" }3 b
set note (note *(exp (- (1 / k)))/ k)& |+ x1 m7 M- {% S
set credibility-list (replace-item i credibility-list note)6 I8 l. q. `5 X
set i (i + 1)
0 ^3 {7 `: B! K4 u1 K+ ~! `]# y$ u' h% h: O }" V, r. N% Q
end' r. j7 _4 y- i; `/ c" i+ h @
( r$ s8 c3 H/ F7 L3 @
to update-global-reputation-list" ^9 K+ n$ r) U1 q. W7 ^
let j 05 ^& @/ z! K* J: J8 N
while[j < people]8 C4 b1 k$ o4 K* B
[! h6 t5 p; E8 k& f3 z- u
let new 0) x- z" ^9 t( Y( q6 p/ ~
;;暂存新的一个全局声誉! w1 L! s. o( D( ?4 c* {/ M9 G
let i 0" Q% f4 U9 h& u: E+ g" m0 n, h
let sum-money 0* m# W/ _4 [% @& o5 q) D
let credibility-money 0* B) W5 z' t/ @( K0 t. g+ u4 @
while [i < people]
: E3 C# H* [/ E7 ^[1 o) x) {+ c: j# d
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
( P+ d7 H- x6 @; wset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))9 h5 X* H p+ B0 E @
set i (i + 1)& b4 z1 [) n0 [. U% y# F! E
]
* K8 l2 l8 p: w5 F) ~) glet k 0* R$ I: X5 w6 _* x' X- x
let new1 0
2 @; E- v9 C& \- wwhile [k < people]0 Q' P7 u+ S$ D6 C1 `
[
x; `+ n& ?5 ~/ @! e F8 gset 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)
0 L5 W( ^( F( j Dset k (k + 1)" v3 i: B9 ` f2 |' j" t. t$ y
]
/ [6 O& A, u( M; ~3 o3 H# }% gset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
$ C# @7 j# D8 [, h! v, Y* yset global-reputation-list (replace-item j global-reputation-list new)
3 p4 c T6 w2 mset j (j + 1)
; | ]/ u' B3 {" O3 _4 ~; `, e b]
; X% I' c- N- P. S0 qend. H& {- ]; W, h) o* R9 n% }' h+ m
2 x+ `* e9 S' Z0 g
$ K( u- _# ~1 b. \ R; a
* h9 a D% G' h5 `3 @6 l( wto get-color
+ N( b8 g) q5 a& E' A f. U1 \/ B! t) c2 e9 S/ S s& o
set color blue
; C4 Y& Q# `- ]- c+ Tend$ V2 @: p/ Y3 w& ~
& `/ H! W A; n) [to poll-class
3 A2 d% C4 w& P! z4 K2 ?" c$ G& Uend* o. Q' L$ j9 h% `$ w5 U, ^. N
8 B: S5 U8 Y8 z) @+ }/ ]1 W0 Ito setup-plot1) a5 A. e2 Q. ]$ x0 ~
) c* G; a0 \8 d: p/ Y" m4 y
set-current-plot "Trends-of-Local-reputation"
* [7 T8 c3 Q' X. J+ ?
+ L3 H! l. h9 t( Sset-plot-x-range 0 xmax& m0 d# w! Q3 q
4 W8 P J& [8 C# X' P; V& K O
set-plot-y-range 0.0 ymax$ A$ I7 B& `) {$ D# e
end
) n9 t* t' l) [& O" v- ?2 K% C' }& w# z+ ~3 I: g0 h$ w, k1 A1 u; S
to setup-plot2
5 ^& Z; z1 N8 e- X- q, P3 o3 Z i3 t
set-current-plot "Trends-of-global-reputation"( I8 m# Z. Q" i& T( i1 P# b" H. M
; d( c( G* N0 ~8 T, }7 {' Mset-plot-x-range 0 xmax: v! u5 X8 r3 a" ^: `. U( u
1 B2 o4 m4 i! Eset-plot-y-range 0.0 ymax
0 W! q# g$ E' R9 n5 j, xend
6 i# P( F, k( X& X. f
, ]" G: I; |; u1 @7 k/ cto setup-plot3
% I2 Y. o j$ `; b3 a( L, y
- N. P" _& b3 a" H0 N. p$ Xset-current-plot "Trends-of-credibility"
6 a' f; y. u/ [/ E9 y1 Y/ [& e/ @5 \/ L3 s D. T
set-plot-x-range 0 xmax
' G0 i* G0 V% E! |
" ]* u, \" }; i" D9 ~, bset-plot-y-range 0.0 ymax
0 _* z9 ?1 g, ]6 c- cend
$ }) u& F, d$ O& H2 n) {( m: e" X9 x5 E/ u7 g2 z: s: ~% D% Q
to do-plots
4 S% d3 p8 o( O4 n% Eset-current-plot "Trends-of-Local-reputation" `' {* \4 Q3 ~6 v8 D7 i. R
set-current-plot-pen "Honest service"
. S2 d% C, t5 {6 v# Nend
v, t5 ^" Y, }0 h) Q1 p! W
1 j1 s! e# c; s/ b[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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