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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
# u$ I9 C' `( c# B+ vglobals[
) k1 X7 w$ R7 h' ~xmax4 |3 ~0 k5 C7 d: D2 |) `+ ~, i$ h' ?
ymax
) m9 U2 d& @3 B0 r; jglobal-reputation-list6 f) H: J: \5 @% k* t
) U- v: G' B3 v0 Q& M/ K;;每一个turtle的全局声誉都存在此LIST中
, O# |& T* [+ A- T" B6 a$ Gcredibility-list- d- Z3 a6 \! R4 y
;;每一个turtle的评价可信度
, [+ S# Z& i, W) d& R# i$ qhonest-service
- U% s/ x9 C t" X5 U" Kunhonest-service
, o! V! T* \0 q4 N& x- I0 i7 ^8 W0 roscillation; e' o. `2 q0 u0 P; u( x: T
rand-dynamic
1 s" k9 y F+ f. d; p0 X' }" p# S]
) M' C$ `( s" \* j2 W7 T6 W J0 |* G/ R' J9 D1 B
turtles-own[ J6 F" O' D4 ^3 @
trade-record-all/ r8 g0 P0 z: v# B3 ^, Q
;;a list of lists,由trade-record-one组成4 r! G$ m- O/ L' r
trade-record-one
* ?- Y+ ]7 I% v5 E. 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/ \' y) m* e( f
( x4 W: S+ x! m
;;[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]]
% e7 h' q, [4 s" f" {+ P, ^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]
# ^) i8 C% B$ y# Q1 Bcredibility-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
& {) w2 O5 l: j( q6 N5 p! xneighbor-total
# R2 @' H9 N3 n6 T/ x' p;;记录该turtle的邻居节点的数目( L" ^. b! w) q3 \
trade-time
, T& b* _3 g# l% f7 k- R$ S;;当前发生交易的turtle的交易时间
( K$ I/ k) X' |) Happraise-give
+ X0 F; h. G" D2 }4 @ J! Q7 K* l;;当前发生交易时给出的评价
5 B# H- \4 g3 ]( l0 pappraise-receive6 r5 r5 i- Y) S0 m& A
;;当前发生交易时收到的评价( ?* a% k( c: H8 u4 }: d1 D
appraise-time; ^& J6 C+ Y) u3 G8 r7 Z
;;当前发生交易时的评价时间8 l6 l& E4 |; W: Z( y# Z
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
3 G, n7 r: h' a: |! M1 {7 ]) vtrade-times-total" a* C' ?5 `! @7 S
;;与当前turtle的交易总次数
& `7 M3 z9 \" {4 utrade-money-total
4 g" a) t& r3 z1 v;;与当前turtle的交易总金额7 {6 f1 Q0 [) n4 s) S" E+ n
local-reputation
" p; y% k( g6 ~0 G3 ?7 [ b4 d: Bglobal-reputation( m0 }5 K3 ?; \! |" y
credibility
: a5 f2 x; k1 d) c: k# Q; v;;评价可信度,每次交易后都需要更新2 m% _- n7 U7 q' F
credibility-all
" j3 C) s: y% K. T1 y( U;;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! H$ ]9 y2 |) {5 ~
. o4 }" F' ?# ]& @0 c
;;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
7 W' i, c' u: _& V. Lcredibility-one
% k5 [1 Y3 s( @9 I5 G;;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
) z8 r+ X4 o" I& K6 U5 }global-proportion
( C( E0 [# d" g/ E' i+ dcustomer- X+ u2 J' I; [9 E) h+ I" @$ B! b" ]
customer-no
4 ^4 t, t6 w& ]8 s4 Z- dtrust-ok9 q0 u4 z0 B+ k6 w' b+ [+ |( z
trade-record-one-len;;trade-record-one的长度' F4 u2 T1 r8 |+ H+ N
]7 A. T- x* W. i8 s
# t6 N+ R% F' w- I
;;setup procedure
; V3 r9 P! P9 _0 f" u( d, z4 w$ i$ _$ X& T1 I7 _
to setup
1 |0 |$ ]( Q. v* L! h/ w+ |) D
& M; m3 P4 c1 oca
8 a! g2 d( s- l6 g0 ]8 Y2 n3 I) ^* e
M4 c+ w$ C& p$ r0 |# xinitialize-settings5 e1 O0 k; u7 ^6 ^) E2 u: ]
R- L- U' E) e M; G: v* T2 ^
crt people [setup-turtles]* G' J( `3 u1 q3 g8 n
1 s- H: m) F& [+ I" Jreset-timer0 L( U. Y4 l1 B& q9 Y* E# P
$ I' E+ W7 s5 U5 ?& s( f. t
poll-class
" V9 H; g" M+ ]" }: J- r9 J: D( L% c2 M( j+ p3 q5 |1 l
setup-plots
1 Z T, J5 A# a" b+ I: z
2 t. {) r% ]; S; h1 g- m; _do-plots- `6 C9 x) |0 }' ]& e9 u
end/ {: W( f9 {1 R9 Z
( s8 g; T" b9 x3 m9 Y8 r* u
to initialize-settings0 _8 V. N0 A1 [* e# ]/ M( V
# L6 @) q( q" q) H0 l3 r0 X1 n2 `set global-reputation-list []6 f/ W4 j6 l- X! [. J- x: F
0 D8 T1 p2 _$ O
set credibility-list n-values people [0.5]0 d9 r: ]5 H y8 M. K
6 G. r2 b1 v$ ]* k( G7 h; a& k
set honest-service 0
7 M6 K; t5 W3 K5 p B2 k" c/ z) ?( [% B" P- Y" f9 X& i7 S
set unhonest-service 0, N- d8 @! M' V2 i7 {& k/ ^
; [. ~/ {# |$ X
set oscillation 0
0 X: y$ }. j* |: }2 k* y
+ w8 W' z9 @( j0 P# a0 eset rand-dynamic 0
$ K# y! N2 n- Y2 D$ \end
: Q n/ B; g4 x4 I }9 Q7 J; {4 F' `0 r/ }9 H* x" Z& n) h5 H0 e8 R/ ?
to setup-turtles : B$ b2 N" b( b
set shape "person"
) ?4 J+ Z% l# p0 fsetxy random-xcor random-ycor
+ o) `& _$ H& ^9 O5 \set trade-record-one []
& l# }& f, G; K9 O2 C5 t! o- V5 W2 @& ~
* c. b3 G# C P: g" ]set trade-record-all n-values people [(list (? + 1) 0 0)] . A+ W H! n1 P) N5 y
$ e4 ^5 d& G Yset trade-record-current []- T4 D, f" Z A0 E7 ~; K
set credibility-receive []/ F3 ]3 \$ L1 q8 i
set local-reputation 0.5) L( j. M0 M- n4 N1 ?
set neighbor-total 0& K% _3 q% s' U' ?
set trade-times-total 0
& G9 H, s) \, i7 i e4 e1 \set trade-money-total 0
7 A, z% l; X$ H7 R- V5 U- d, Oset customer nobody
1 Y F3 p2 [' _+ M" G0 n; jset credibility-all n-values people [creat-credibility]
9 o, y1 {/ ~) e; \" j" l5 `set credibility n-values people [-1], R: k" ?4 M8 I& s! T8 C+ B" l
get-color: D9 f. D0 Y% m6 m
! E. U$ K' H! Q( v) Tend
8 Z; O* t5 |& }1 `6 W0 _! B! a; J% |# v3 R4 x! X" I, ~6 N
to-report creat-credibility
0 y& d, ]& n8 ^! [6 }8 ]report n-values people [0.5]9 y* T+ C! V j @& l% ?
end
% |* B! y7 L& _' K6 |; _
$ g/ W9 u" b$ Q# x( ] @to setup-plots
9 y+ z0 Z+ j" H" }% Y5 [4 e% w' s
9 P: U9 K% K/ U- p; f1 Z: Q: tset xmax 30
, a& l4 `( C% e: [- ^6 ?- I
, N# p3 e4 K; s4 R4 wset ymax 1.0
: j2 x8 w; C6 h9 r/ s5 z. I) w9 w8 p
clear-all-plots. E; Z6 J8 |3 j& M
& Z/ k; v4 Y( E- r8 \$ S$ csetup-plot1
- B8 k( y1 }5 J m' T
+ l4 q$ z7 m8 x$ @. Qsetup-plot2
/ E5 i" k- v X8 m, k3 ~: x4 w. n( H3 O* c, `3 c
setup-plot32 s9 c! b1 I& U9 L) g
end
) L$ Q; [, Z0 l0 a% h2 o3 B; g
l$ e- K, E9 k: Y;;run time procedures
4 R( X& o6 Q. f. [& R8 r
- D2 b; p8 z6 z3 m6 E" [to go
' l i/ l- ]7 Q$ }6 F) B
w+ O) G/ u2 rask turtles [do-business]! s& A/ p4 n# z- ~! C8 n+ {8 x
end3 K* e. x& C" ~' ^* W' V8 ?
5 K% V) ~3 G- t& c* X7 X
to do-business 6 |8 s) w, G" V, j5 n# H% ]9 g
0 m# p; B: k6 Y# V, L
$ B8 {8 ~1 h# p D5 }1 ]0 F
rt random 360
# u) |3 a+ X9 w
; P4 W9 q4 F) \# B Efd 1: {7 C% w* e" m- T4 C
8 R. o* U, g6 a. w" I5 t) K u- o
ifelse(other turtles-here != nobody)[9 }" \* V9 w, y* T8 k/ ?
( W3 q# H1 N& f. _: X( Bset customer one-of other turtles-here
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, k9 @) _ j) s;; set [customer] of customer myself
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set [trade-record-one] of self item (([who] of customer) - 1)$ S9 { l& o, i$ S. g
[trade-record-all]of self) E+ n8 L P( b1 o* K" X
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
5 Q# @1 B# r$ _; ~% w5 L( E
7 Z( g2 R* X/ n3 N( g* s: sset [trade-record-one] of customer item (([who] of self) - 1)
/ B( a- o' m# C4 q& ~[trade-record-all]of customer
7 p+ }" P. v+ r% F3 L1 U. {4 ~" ^0 M8 m* S
set [trade-record-one-len] of self length [trade-record-one] of self5 X0 N2 N# M( o4 Z4 I5 |) h0 E
& |: l! c# L% n/ E+ b
set trade-record-current( list (timer) (random money-upper-limit))
9 [$ D# U; `) L5 l
+ p$ |* h% p3 t+ e) Uask self [do-trust]- [* c* d, ^* ]% `2 Z
;;先求i对j的信任度# V9 I- C8 O% ?: L% }
# y6 I: [8 J e$ V" u
if ([trust-ok] of self)
( s0 l; @# E( C& J5 c7 E;;根据i对j的信任度来决定是否与j进行交易[
- l/ g1 n N6 ^1 M& Xask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself2 C1 X ~% ]* P% I
2 | e' v8 s) v# G0 @[. L3 K! s0 q1 I; c
, @' U! g! o# H( U8 ~, Q
do-trade5 b8 K: }2 u8 `* }
5 z3 G8 M5 j" A6 m# Q
update-credibility-ijl
& I+ C; r0 Q9 P4 d8 ^4 j0 N
# X9 g$ w% h# O& ~7 ?+ Tupdate-credibility-list
J9 ]) N/ j' W4 D' ~' D' f) B% o, Z4 A
; L3 C, F& L4 B! l- R# D% Qupdate-global-reputation-list0 o1 f1 g$ L" ~3 j( {
: l6 q" R8 w8 D# R# Kpoll-class
`" W8 T: {& p) @6 _1 l
2 O# ^! g* ?. l3 U7 V, z. j& X" }get-color: K+ c9 {+ b- a& i
) \0 }# A, A+ k]]
- ~* Y: |3 Z! _8 f/ h- N: f4 i
5 z& }7 C% O- y+ G;;如果所得的信任度满足条件,则进行交易0 n) e2 p6 c" i; Y
+ `6 X- U+ w1 v [[; q* f! q5 `7 ]2 Y5 X6 f
- X) U% [6 E* V8 hrt random 360
# [; p& g* a9 N8 o" A
; @4 e# ]# L5 Z9 y e" Lfd 1+ j* i$ y, ]+ Q* ^4 v" ]9 r. A
, t4 i& K9 S! V, m( I0 x
]6 Q, P. G; L0 E$ v& U
# K1 W+ z) _8 ^$ J/ h9 Tend
8 s& H1 U1 ~. k' T) I/ L: O3 n( {. E7 J) a3 s* g5 U+ ^
to do-trust
- L. K4 {+ \# g$ |3 |0 e0 Xset trust-ok False
& n _" U. l8 P( J3 R
2 n& j# [( B. y" B6 z! K' ]. C9 f4 A7 e2 D# Z+ D" c" ?
let max-trade-times 06 W8 _, b# b6 b* S( j/ i+ J$ ]
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]" l1 P2 v# Q- f/ M- \1 ]4 g1 c4 v
let max-trade-money 0
/ f! ~; ]! V/ i2 [+ v7 a! e# b# Fforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
# H4 w6 F9 F. N* V8 nlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
9 G+ \- p$ y0 B2 v: R' ~
: M1 V' |# ?, C- P/ J" Q& K d+ ^" r
get-global-proportion
1 O. T- F r* b+ N% X- tlet trust-value
7 k+ V' P+ u, C, R* N: blocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
4 M3 F9 o, _2 |if(trust-value > trade-trust-value)) P$ @8 O: h2 v7 v
[set trust-ok true]3 ` g; P0 z( h" L: L& v8 H
end0 j. F0 E/ [+ z, i
: n7 D1 ~. I0 e
to get-global-proportion. h9 G: C6 E, H# O# I
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)4 [& Z3 o) P) [5 o) f6 c
[set global-proportion 0]
% j- l' c* c6 N3 u2 [# V% c[let i 0" f& r0 Z- a3 \5 J1 M
let sum-money 07 R! ^5 t( p2 V, Z2 _
while[ i < people]' x2 ]5 d3 v. w' Z+ a
[
4 p, P ?% U( d; F6 K0 K2 x' ]if( length (item i
% D& h. ?4 K5 n[trade-record-all] of customer) > 3 )
" N4 x/ v+ V/ P5 p2 j$ g; t4 }[
]* n3 m0 k1 }8 p9 l1 a1 ~set sum-money (sum-money + item 2(item i [trade-record-all] of myself))6 n L7 t6 H0 o% l1 ^
]7 ?1 e2 B3 N) U
]
" |: g! W' g* nlet j 0
9 f' W8 E, k! F7 M# V! V2 |let note 0
' x8 n) h7 t& {3 K0 P: S, G- Nwhile[ j < people]
1 Q: I4 l1 r9 ~, i; x: O( ?3 R[, w. o/ s0 j: |: B8 q
if( length (item i
" q8 H+ ~$ T& q6 M8 _4 D" J; @[trade-record-all] of customer) > 3 )( `9 i- {" X; |' ]" v$ `
[* ?$ Q( m% b r+ m" W# G8 l1 N! ?9 v
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
7 N- X% O" n# Q+ p/ w9 O[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
% l( R7 ?( o9 B S* F3 | |% a7 [0 \[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
6 e, A3 E( q4 ~3 @5 l$ v]0 U) V2 E9 b) `' B2 v. ^# i
], j( u$ W* ^5 b! i
set global-proportion note
# ^9 }9 Q1 S) `3 C6 [: B]
4 Q( W1 r! v! ^) d6 `# N- Z; Eend
+ |4 `( A4 h* r/ d8 }0 z" B! g# N( s* I/ ]7 g$ [# D- W
to do-trade- o$ O: q2 `3 G+ D
;;这个过程实际上是给双方作出评价的过程- s/ R, T3 [/ z" B2 X3 d2 t f
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
+ Q. J5 x' Y5 H* lset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
' m4 m' v# d* wset trade-record-current lput(timer) trade-record-current
/ l- j' F5 I+ e' y;;评价时间
( J l7 W" n6 `6 h2 C1 {ask myself [
) R8 w4 W$ B! Pupdate-local-reputation
2 q, T' B. h/ S% f; mset trade-record-current lput([local-reputation] of myself) trade-record-current3 n" O9 i8 v0 f7 ?# A
]: U8 p ?$ u5 g
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
4 v0 ~4 s% G2 F7 \ b0 ~;;将此次交易的记录加入到trade-record-one中
" N! `" E! M8 f$ G8 q* s6 H: Kset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
( I3 H6 b9 J0 p( c% m. flet note (item 2 trade-record-current )
( s/ e) H1 C1 r# Q! d2 X# Fset trade-record-current0 U5 w. e' o4 \9 E. Q
(replace-item 2 trade-record-current (item 3 trade-record-current))* s* y: H% W D* H' K' C! M
set trade-record-current" w2 L7 c/ _3 _4 Y: }0 _
(replace-item 3 trade-record-current note)
' Y/ y, d2 d( I$ ~: H& a
1 ~" b, N# j3 |* W0 Y: L3 g! \+ c( ~5 S O
ask customer [
* n- L' G) h5 d% M% G" g: h! t2 xupdate-local-reputation6 C% i1 y; e3 r9 m2 ^5 M
set trade-record-current2 l# m/ G, R+ C6 M6 f
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
+ u) R4 x% f0 D1 [3 J$ h: u]
9 _: ]* K$ l; `, L2 r1 M) b2 W. ?' h* c& B# k/ [" F/ D, R5 F
5 t/ K n& z( Y) [# y4 {set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
, }* W9 A) s. g6 P0 D4 n) F, @ y+ _
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))4 h& T3 l! l5 J) s- t5 L2 F
;;将此次交易的记录加入到customer的trade-record-all中
5 S. Y C. E" Fend
) J8 Z; ~5 |8 I# U( H/ a
. H6 G( C! j/ Lto update-local-reputation/ \- \+ d: _: p. @) j
set [trade-record-one-len] of myself length [trade-record-one] of myself# M8 q; i. n: C; T
4 O! d$ F% c& X3 w( R" i" i" b
2 |* \2 z" a9 X;;if [trade-record-one-len] of myself > 3
$ v9 g, P7 S/ k) ^update-neighbor-total
0 D( n$ s5 L/ t8 @;;更新邻居节点的数目,在此进行
/ p6 d- D- Z) {! @# U4 e. Rlet i 3
0 ?% V+ B+ p( b* D+ r" |let sum-time 0
3 W' _% c8 Y; U. B( jwhile[i < [trade-record-one-len] of myself]+ G$ p8 C9 B3 |) n H8 ?7 A! c
[
1 i& \5 H- j% n. S0 hset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
% f2 A6 F9 X. O Bset i
. L4 G+ R L& k* C2 V; N( i + 1)
* c4 F" T. u! u9 M3 W, C]% u7 N* R% J8 d3 o( o2 N; M5 e' |
let j 31 A1 B! ~* |7 ^; G9 Z
let sum-money 0
1 t0 l8 i3 Q& iwhile[j < [trade-record-one-len] of myself]
, X2 R* O# O: `( Y6 R) a5 ^$ ?[
H7 J$ ~' T! W4 Xset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
H2 ?' E) a1 V8 W4 k* ~ T9 E4 {set j; u4 n) ^0 ]5 t9 T# t) _
( j + 1)
0 s) Z4 A j) C$ W Q]
/ M: Q( U8 R4 k6 `) O3 i; clet k 3- {7 `: w( l6 M' j
let power 0" H' Z V1 X3 K( N) b# E* C0 D9 T
let local 0
( C$ V6 N9 t+ p5 M9 Fwhile [k <[trade-record-one-len] of myself]5 z5 K% q+ e" B5 F- C
[5 B6 k+ z1 n5 k
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)
0 m S. K8 n; O. gset k (k + 1); |1 `# ]# m! v2 v% W
]- t" {5 C8 p4 A& V4 ^) H
set [local-reputation] of myself (local)
% E7 [5 V% W7 D0 d) c5 Oend
; }* [) E/ h" y. P3 w- v9 j* J
7 Z' n5 t+ s0 p, rto update-neighbor-total, B6 e/ \# i8 r: {+ y
: G. z/ m8 N* e6 }2 a, _4 {6 \
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
" m# I+ n u. l, X
! a3 X5 A% T3 I4 {+ ?4 D4 o
9 ~* t& t" x2 r* d# c Z. Send8 H! P! y# z0 p& }, E7 o
; b1 H' F9 h# p2 c
to update-credibility-ijl
' M |. ~2 w) z. m8 E- f
" {2 _# O% x/ \;;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。( c4 @2 R: a6 A, H
let l 05 I! K C5 i. \; V3 A- K
while[ l < people ]' a0 Q+ A6 q' O7 g% I- Q
;;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2 ^$ W; |3 M5 h
[
# M! J5 q* q0 s" Olet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
' E* P1 z" s$ v @6 W0 Zif (trade-record-one-j-l-len > 3)
; B3 [5 o: i3 [/ I! n[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
4 R- P. q$ i0 q% M; t: Zlet i 3
% V6 T5 L. v# @+ @/ qlet sum-time 0; r& X0 x4 D H4 R2 R8 c
while[i < trade-record-one-len]
0 Z! C( I9 J. {+ P( s[0 B. w+ Z. n2 s
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )+ @! x' p5 U# A8 C. q: E
set i% \& J" N$ L4 G1 X
( i + 1)5 d; l5 O2 P% |; |, u- y. T$ z G) c
]
# {4 P$ [* I3 o/ d7 F* k" a4 y/ ilet credibility-i-j-l 0: k. ^ P6 K. Q, W N
;;i评价(j对jl的评价): g; i& r3 b. ~8 m
let j 3: z/ z: s: z' K4 l7 \
let k 4% Y! x3 S3 j( d) u( p5 e
while[j < trade-record-one-len]9 e$ ]$ G% ~' d9 p
[
1 ^0 c2 m7 o/ ]% }6 A$ l R, ewhile [((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$ p, ^# H! R& i; K# z# B1 x$ t1 M- N
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)1 R- {$ ~/ K3 i9 [+ H
set j& O; O9 M% {/ T: H$ D
( j + 1)
5 `. Z- o: R& D c1 \$ F]
+ V( M: m( F* |3 R7 D" C9 ^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 ))
4 N0 j0 O0 G) y3 |; b" Q; v1 g$ w. U" K H4 T* s8 }
; ~$ g# y E/ B
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
4 C! h" l( w X! I;;及时更新i对l的评价质量的评价
4 g- i1 I* P; f; wset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]- b: E( r Z) L; ]1 r8 Z
set l (l + 1)
/ {1 L. ~# R4 u' A! K]) h; b# }" k9 ~; }( ]
end
8 W$ k+ o! V3 Q9 L( t4 |' k5 `3 x
. l8 X* ?% I2 S6 e9 @1 jto update-credibility-list: f u1 k& T) r2 T: [6 R
let i 0' \! I4 b$ Z7 y( x! {1 K/ d
while[i < people]0 ?. x, y2 J0 T/ r) s2 m
[& j- }1 i) d9 Q5 g5 p
let j 07 g, Q8 P) {( e( [" _" t L2 x1 w
let note 04 {8 [+ b$ m+ W4 ]' R. d4 m4 t9 Z
let k 0
8 p* }* d M+ p+ h;;计作出过评价的邻居节点的数目. L6 @# R3 @6 J" h- N! h4 w7 _1 B- b
while[j < people]3 \. u+ u* v% N" G; b; p
[6 Q7 A s/ G* k7 O8 ]: R
if (item j( [credibility] of turtle (i + 1)) != -1): h6 Q1 e7 s0 Y4 m1 `" t
;;判断是否给本turtle的评价质量做出过评价的节点
; Y/ x: p# a/ D7 A7 F, G) r# x[set note (note + item j ([credibility]of turtle (i + 1)))- Q2 u" z/ s/ H; Z- [) D
;;*(exp (-(people - 2)))/(people - 2))]% d( ~$ A2 q6 m( c
set k (k + 1)& n( F( r4 E4 i6 a/ @( O7 x Z
]& @; N+ I* J& C: E0 @
set j (j + 1)
8 E |3 a1 ^9 ]]( U% Z9 i" h$ X
set note (note *(exp (- (1 / k)))/ k)
( L$ [9 X$ d/ H, ^* ?6 X" ~set credibility-list (replace-item i credibility-list note)6 c6 n& Z5 Q. X0 A
set i (i + 1)) c/ x& Q" y3 G# t9 b
]
+ t6 K9 q% d/ ?9 \) yend8 R$ e w% B: M ^" X
$ d0 e4 v) n0 ~) C
to update-global-reputation-list
" i* N3 Y9 z$ J4 [5 mlet j 0# s3 V/ k% }8 \; G7 a! X$ p
while[j < people]
# m- @- r" Y6 o, C: [/ q[
; z0 Z3 \' p* X" }. `& q- b5 zlet new 0- E+ `' f/ H- x5 T+ O8 M3 D
;;暂存新的一个全局声誉
# O/ R. d7 u8 c1 W1 Llet i 0
7 [. @3 q- C3 n2 R0 j- X/ |let sum-money 0
7 a8 T" t5 M. ~7 G* b: C; flet credibility-money 0
9 X! z5 s5 B# E$ wwhile [i < people]
/ D( E6 o' j; j[* r) [5 A$ \- q5 j3 b
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
' L }% B! k; H, vset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
* P$ y3 b! ]0 O) uset i (i + 1)
4 `9 R+ j5 q6 W2 H7 o' u, U( r]
/ ^, C$ X& ?) J0 r! `" S2 Qlet k 0
9 k* D1 u+ P. X: W" G: M5 |let new1 07 q4 t" V& u, f" t) j5 H: ^
while [k < people]
% z( n- Z- i, w' D$ d8 e2 z. d[
) y2 z; Q2 w* u* ~, N) ^9 rset 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)# c$ e- b1 s5 {) a9 P: y9 `
set k (k + 1)
0 S6 Z& p: _3 e]
- ^: `4 Z9 R9 L: Eset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) . u7 t, l$ V) S v3 `' H& I
set global-reputation-list (replace-item j global-reputation-list new)1 u5 [7 E. l2 a3 i1 Q4 X
set j (j + 1)
) H, f* Z. Q* D]3 {* ^& m$ l9 z m
end/ V/ F% E* w' x7 N! X: H2 R
& P( f4 l4 F4 v8 x; L# ?6 T$ N
0 } x0 M- L8 R! O6 X: R. |: U
/ K5 s/ N' P& y9 K5 T ^3 U- b& Eto get-color
# D6 G x+ G' e" s+ O/ A: B6 l0 U: }+ }1 g
set color blue! Q: r1 I& u- [; G }
end
j1 p7 M7 L& i# R
$ J1 y( R+ n. pto poll-class I9 B3 {2 r6 W. V0 x
end1 W, \6 }+ u9 Y7 W
+ o. K7 }0 R6 P" l7 ?to setup-plot18 S* c6 g( _2 I# O
# {+ B( @7 [8 Y6 [' Wset-current-plot "Trends-of-Local-reputation"
3 |. @+ C, a/ ~
& k/ g5 J3 d" p6 ^8 ~set-plot-x-range 0 xmax) V2 {* h$ h- z, D% {% D
+ y1 B6 s- W- q3 C4 _set-plot-y-range 0.0 ymax# c/ \' X6 F' ^- W2 X
end
8 }& Z6 Z# C5 n& M; K0 q* K# h, f8 g/ U; z
to setup-plot2* E* i" V3 m. a
3 v" v+ {" k5 F8 B, g6 q) e5 Iset-current-plot "Trends-of-global-reputation"9 w8 O! }9 x- u* B1 ]
9 m j+ j. G; s/ ^: g" [- ^4 D& O
set-plot-x-range 0 xmax
- t( E, Y) @' x9 Y. e7 f n l
set-plot-y-range 0.0 ymax$ T1 `4 e3 n- w( `
end2 G, _ }, W) A
/ ^( e& e3 K3 q; v% m6 u4 k
to setup-plot3
( e& I. o1 v7 A/ \6 ]( j* ^+ a% z f& J! L& |& Z6 a0 ?; ^" ~
set-current-plot "Trends-of-credibility"
- Q3 S- C9 E) l8 {% e5 |
" R2 ]! `- P, i8 A( U. A" @( s8 fset-plot-x-range 0 xmax
# ?) F, A' I$ ~1 {9 E1 z# {
H4 P% E# F* hset-plot-y-range 0.0 ymax" T+ L9 r/ c, U) j6 B
end- W+ Q s2 g5 G$ v
) m. [4 l4 H0 }! Z- R
to do-plots
& m) P3 X5 S1 b2 ~' xset-current-plot "Trends-of-Local-reputation"
1 v) [1 e+ i7 ?- O" q9 O1 pset-current-plot-pen "Honest service"/ @1 I1 T1 Y6 o
end P. ~* d$ R" p
8 U( D6 e0 b H) H8 ~[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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