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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 ]+ ]2 l( O% aglobals[
; D- p, J3 u8 @& u$ `0 Ixmax4 x* Z+ X/ d) u* m) k
ymax
' ^$ f5 q. n# }global-reputation-list
, C& O: x( y7 S: F0 i
( B: a v/ X/ B8 d3 J$ F7 P2 V;;每一个turtle的全局声誉都存在此LIST中
; p1 `# y# t9 r* ?1 R' qcredibility-list; F. q2 R, ]8 f
;;每一个turtle的评价可信度# Z' G. V* `3 c- E4 c
honest-service" d" K6 v) O, X( ?7 ~" f
unhonest-service
3 i$ [' x# O1 s0 Joscillation
4 ^6 E! H- @+ k5 ^5 qrand-dynamic
3 [7 @8 {# V' F! n]3 \, S* U( ~7 A# U! ~
9 q7 _; Z% W4 r" U2 ?7 }
turtles-own[
4 ?4 ~! y1 L1 a. ~trade-record-all
: u6 P5 h9 b+ x, B" A;;a list of lists,由trade-record-one组成. G$ k% m5 n# C# R {3 q' s) b4 U
trade-record-one
) K$ P. D4 O: r4 O2 |& c( 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, H4 N2 e. T4 p
" b- A7 p9 S; `$ y* }! M6 O8 n+ k, w
;;[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]]
, a z) q# n$ @* o+ q8 D, a( j! e7 G& Q/ Ztrade-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]& j' D. @3 M& P% }1 W# h/ x+ R
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* t$ H0 G0 V+ U$ I; J& d1 x4 Y
neighbor-total
5 g+ u# v# `1 [+ C0 p) a& S;;记录该turtle的邻居节点的数目
4 G' ~; W7 I. p4 ?' F% e6 gtrade-time& ?$ p+ r5 ]5 u/ y' {& _) a: L* `+ ?
;;当前发生交易的turtle的交易时间3 n) O/ Z4 x, D0 X1 y2 ^
appraise-give
. h8 A' q, j" z;;当前发生交易时给出的评价
# E6 i; p2 X* x& h$ S2 [appraise-receive. n s, d1 g u% @2 a& g
;;当前发生交易时收到的评价
5 A: j/ F: W9 |/ D1 L& }+ }9 Yappraise-time
% \' z, A3 q- ^; }2 d# }1 [;;当前发生交易时的评价时间
a8 }* V" }- H% f, k4 vlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
( {6 W# p1 {: A1 mtrade-times-total
; }8 m+ R/ }$ P6 `7 n8 o7 q;;与当前turtle的交易总次数
% _' ^6 x: `: A4 w9 Ptrade-money-total* M/ a# ?# V* z/ Y
;;与当前turtle的交易总金额2 }* Y, v8 @3 i* _$ o
local-reputation
8 y6 t5 x+ E& S: l7 U+ j0 }2 dglobal-reputation: m i0 o) R; p, m a9 P6 c# w1 S7 J
credibility/ f6 H* V- r, H/ Q: N- W( [# L3 j
;;评价可信度,每次交易后都需要更新
; q; B1 A! d5 z' Hcredibility-all
8 b) C$ j, Z( F4 \6 D$ ?, N" x* H; W: S+ D;;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
9 i+ j# T7 z/ L8 {( Y. ^
; q0 a b5 r* U# p& ~" q* M;;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$ ?, W& ]1 {# A4 H
credibility-one
) x& W5 K6 v. {; c;;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
2 ?* ^: ]! b: Bglobal-proportion* y# s) V9 ^; T2 v" |
customer' q6 j" U: N2 o8 b! [+ J0 u
customer-no' b/ \* l8 l% C: K# Q
trust-ok
3 t9 a* q# ]9 \trade-record-one-len;;trade-record-one的长度' Z( g' @* Z/ S! \
]- ~4 \3 P% }4 Y
2 _' K, a' F1 w- i& c; F5 S
;;setup procedure |' S4 ^! L# x: }. H4 L- b
, N o5 T$ A, C: D" t8 a- Rto setup
& t7 b/ D, P* s3 v2 l' X, \; A; U: [
ca
: f2 c+ z6 o" R
1 W6 m" @ v" B5 Q* cinitialize-settings
1 @7 H& a4 s) x- @" [ I- T: r1 w% G
crt people [setup-turtles]) N+ e% }, F4 c9 x% B1 V# c: o
. k7 n. A8 _) {2 U8 E' G
reset-timer
8 T8 B- U5 U( ]% x* h
) C* R* l: t% M& r. M; Opoll-class; n( B& Q: X# t8 I
3 `/ i2 H& I- Nsetup-plots
) c& D( q; V% h) A5 n" T3 N: ]: D. n. I; v
do-plots
; Z3 t+ J% E- P9 T8 a U! k6 d1 Fend
! Y1 i* N7 F; f6 |1 X% @- @; G
2 }4 q' t! x7 G$ s2 M, M( R8 o! ?3 xto initialize-settings
+ z; F% ], b2 F$ Y! j2 Y
K" Y7 D* I q6 F+ b; z8 dset global-reputation-list []
/ a: p4 D$ s: U8 ~- C8 v: H8 ~$ r0 Z& U
set credibility-list n-values people [0.5]" _7 w$ P8 F' c. }9 v! A
4 d7 X0 F; O# U& J, g; X% ~0 o' rset honest-service 0. w# t$ G1 C% e/ S9 k
6 v7 f5 U- M; Q8 Xset unhonest-service 09 _! f. Z! u" S
) F$ l- j; F* h! gset oscillation 09 T! N$ ^. ~3 {* ]* V2 f! [
. ?8 B( ^, W. y' K
set rand-dynamic 0
+ M, m$ z3 j% W& }+ Kend
' ^4 a6 ], l4 {, Z
! ^4 [3 ]6 L3 ?- j" n! Nto setup-turtles
$ z" a' K ~3 N8 _9 u# ?9 Iset shape "person"
1 ]* u, w/ w+ A1 ?5 Qsetxy random-xcor random-ycor
5 M" P$ \2 e" i, f1 X6 w/ _* lset trade-record-one [], b% v' ~7 R- ^' L( a- h' N
6 a3 i6 D/ r1 a* p# I2 Q
set trade-record-all n-values people [(list (? + 1) 0 0)] : P1 A, i( l- Y C* M3 l/ s
+ k: C* ~1 M3 R. b) Z# ~3 x) X( dset trade-record-current []& o- I6 x) v2 A, R
set credibility-receive []
7 q+ h8 m9 D$ N; P0 G& u$ C' Xset local-reputation 0.5
S( u1 h( W' a2 R! W4 Vset neighbor-total 0
. X1 q2 Y' R3 s1 ^set trade-times-total 0# Q8 U) ]* ?0 }" a2 u) u
set trade-money-total 0, p2 {4 V" t6 S( p9 k" e: a# s
set customer nobody
7 U1 I; \- V. y D3 _. h( h+ M+ B- Bset credibility-all n-values people [creat-credibility]
3 A4 u1 U$ a1 p5 j& ]set credibility n-values people [-1]
2 r% u! Y. f8 i/ e- ~: Sget-color
$ g2 [3 H O& D8 \
: y( C8 j# A% l# X- I9 aend o1 T% d# v- C, `/ @4 n: K
& Y- e& j$ x& \: N0 }
to-report creat-credibility
7 u% j* b* F7 A6 J' A ]. g6 I8 H& Kreport n-values people [0.5]
4 J0 U- I) J! Y- n7 r2 vend
$ D3 }4 B e1 ^
( S4 e8 V' W5 @& f0 K8 Y5 Z5 ? j1 ~to setup-plots
2 y& N: F# B8 b3 w
# \* U$ }5 h8 O, u1 {: E4 |set xmax 30* U5 Q& ^1 F9 b2 l i2 Z
! a! V; A9 }) ]
set ymax 1.0- r& ~, [% Z( M- P
" Q2 b+ e, T( A& Hclear-all-plots, M% h6 z4 v" C3 q* B3 ^
* L5 S4 N0 g; _3 d6 Z) ~
setup-plot1
/ o; o9 Q! w) N' m9 x
% M$ i: R5 i) Y0 msetup-plot2
1 \$ u; x$ E5 z* Y n5 d q* ~% p
- m2 a0 L9 y( ~; usetup-plot3- D, k) C$ j/ P: _
end
: k: M8 T/ [ b$ o, Y5 K. i( M- @
;;run time procedures8 L+ u- {. X) D$ [6 c4 O0 c
' t& M S/ S! p. L% ~/ z+ O- |! y
to go
* ~% Y# G* H& o6 ]7 J4 C0 n/ [8 P
) \) ~& {1 y. A. U, s6 S1 j, _ask turtles [do-business]
' ]2 O3 }; J; oend
" F5 ?9 D. d) @3 W0 l2 _
$ A- c5 a! v' [; H$ Q& P9 R# U/ Bto do-business
, |, ~# I0 {# d; w8 y* [- g* `5 N/ d# I' U2 f
! M5 R) a, U4 P: L) I/ x0 ^6 ]
rt random 3604 h) j+ A1 z' P! q- l" Y% ~( T
3 T" h1 z5 u( H6 cfd 16 C8 c- P0 i3 j% |( ]7 V
* n. z8 Q5 ^% N( b& e; Lifelse(other turtles-here != nobody)[
9 b+ Z v. _1 I
8 Q/ t; ^* D5 c) iset customer one-of other turtles-here3 a7 b @' v9 v
( ]" M! e1 [) Y( o5 ?* J;; set [customer] of customer myself
1 h7 Z% A' _9 X0 Y: l: n2 p1 x. `9 Y- Z" F6 N' d* o
set [trade-record-one] of self item (([who] of customer) - 1)% y2 P6 F$ m5 [( M
[trade-record-all]of self) t8 P6 c) ~' d- {: t0 W
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self% W; o8 K* v6 J& Z1 w2 {" A
+ S, Z) l' n: _' W- F
set [trade-record-one] of customer item (([who] of self) - 1)/ g2 e2 V( W+ g8 ?$ i3 f
[trade-record-all]of customer9 [- i6 g* p/ N1 o7 h) x( u
2 f! Z6 i4 C4 o% ?, fset [trade-record-one-len] of self length [trade-record-one] of self
& b3 t9 V; \7 E1 D, l& P! ?) H
$ C* U- e% d7 i( v( e5 c) _6 M8 uset trade-record-current( list (timer) (random money-upper-limit))
9 F- |4 W- k# X3 F$ R4 x- R
( t" z9 K" r: a6 {( n' dask self [do-trust]0 k8 G, U y9 g+ V# K. _
;;先求i对j的信任度- ?; ^0 {$ o8 z9 s- F% E
/ K1 `% G" y4 t! c/ P
if ([trust-ok] of self); J) m8 m& F5 ^4 L7 e
;;根据i对j的信任度来决定是否与j进行交易[ v- h2 r3 ^. @6 f+ |
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself( L8 p+ E+ u3 z0 Y5 R) ~/ a( f
" V- z ]4 S: b4 ], R6 f# U
[' P- a' S! ~5 G2 D
. Y# q0 i2 L4 n; [3 e6 y; @1 P" |do-trade, Z# Z+ a. J% [( U: p
, u& u7 I% l2 k" h) O
update-credibility-ijl
9 u' [1 U- W2 |% T* k+ L
4 f4 o1 e+ z+ n2 Q9 H. tupdate-credibility-list
1 t, q, t4 o% X
' p( M" W1 l% e) {$ O, }
& U% W7 |! L- r- Y. d- Hupdate-global-reputation-list1 l6 [5 ]) F5 j1 \
) t1 d, e4 F* H+ L
poll-class
% m; k" @5 b- o8 O y
) C9 l/ p: \. s J4 p% j* M: ?get-color
- Y: F+ t4 ?9 \+ p2 F6 ~/ K8 Q. u+ A
]]
! n D$ ?( P9 D/ k1 X7 A1 c2 G* B9 i; s( o/ \
;;如果所得的信任度满足条件,则进行交易+ r0 d! [8 f8 ]$ Q6 Q" c
. w1 Z3 Y" B* C2 _# G; i0 W+ z. x7 b
[
7 f5 I T2 k- E9 d3 o9 B, x5 z0 E W* D- f. ?
rt random 360; G& R" [- {9 [" q% ]
$ a) x2 Z" a* j" j6 q" q6 l% D4 mfd 1, w* W4 G/ D: `
1 {: w5 [8 S$ y6 v" e
]
, S) s/ D0 A$ k4 ^; A2 P/ R/ [ y; I$ j3 J' O" w
end4 l4 i) A6 n9 j) Q2 i$ [0 v$ N
( U4 o2 e! i, k: i+ v8 h6 ~/ u8 ^7 z
to do-trust
# Y$ `9 _2 y, Wset trust-ok False* h! }+ z1 o% Y- f$ x% M
% W& m5 U# n' j7 E5 I
2 }6 [* v) D/ n& O6 o6 ?9 t; W5 X& z Ilet max-trade-times 0& z x/ W. u( c; p; n" F
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]- ^8 E" R8 t. n, K. ]' j
let max-trade-money 0
* e8 U9 h! b. w+ U x7 \: ^foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
1 F2 ~! U( B/ O/ Rlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))2 P) m" R0 @; U$ j h
0 o6 a! U' ^8 E$ T& W) L
3 }5 B3 U5 A2 W% [9 Kget-global-proportion
' M) E3 O. ^8 \2 Z( ~let trust-value
& x3 r, E9 r. Q6 G# x' Xlocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
8 Z/ g6 Z* ~* {% k) P6 G% uif(trust-value > trade-trust-value)
8 c9 ^' p0 d4 \' @8 Y[set trust-ok true]6 V7 _: e, P& Y
end) R9 R+ l7 D y
- G4 ^2 K; [/ X0 i7 S1 k! F! I8 E
to get-global-proportion: X! F9 F3 K4 b, U# p
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
9 Q6 H ?, K+ O[set global-proportion 0]" ~8 R- E( m/ x$ A; W$ c* x
[let i 0
" d) `# s- P6 @( T" `let sum-money 0
2 B2 v( a2 m7 f% e/ a8 cwhile[ i < people]3 d' x# H* V" W b! L
[
% S. T l3 g( D R8 V0 Kif( length (item i
+ [0 J) y: b; \[trade-record-all] of customer) > 3 )# I, z l3 |: b3 Z
[3 P9 J# r) x4 n3 t3 i
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))) [; I( E8 E) S" ], L, P, ]
]8 d4 \7 q: P% k
]
" B" \* A3 s# Clet j 05 u$ s; N: m! x- V
let note 0! `: F8 {$ U$ ]1 {% [
while[ j < people]) T+ R5 |" G1 k" H6 I' x; m
[! E3 O) R% x, ] {
if( length (item i+ p. a( i& U0 p4 R% K& S0 k
[trade-record-all] of customer) > 3 )
; O9 F' o# G" t0 w[+ b; N7 y/ z% d L( ~( E9 Q$ ^
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1), Y5 j# m0 d J6 W$ ~* i
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
" g: {9 b# j/ @2 K: ?: l9 u" F8 A. p& \& d[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]. {/ V {' L8 | j, L, s9 B" i1 d
]2 o- P- | Q# I9 O( o! m8 t1 a* m$ k
]7 C0 u7 I' G, g# ~$ p+ q ]
set global-proportion note
8 Y @0 m6 @; O8 H: h; {) @, t]' x$ p9 u) ^- k5 R6 o' j7 a
end, F7 c9 V l. V8 L; p
7 x6 P% B3 o( M* O9 j; d
to do-trade
- K7 f2 ^$ _0 y;;这个过程实际上是给双方作出评价的过程, e5 t5 s8 y. M R# p
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
" X- H/ l" s( Lset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
% T/ J7 b2 X% v8 n1 Eset trade-record-current lput(timer) trade-record-current
( E& [3 O! r: p# C$ a;;评价时间. A! ~) z6 |# H: q/ e/ J
ask myself [; w- H5 ]4 {4 W! ^# j* M9 t. q8 [3 C
update-local-reputation
& u% y9 s* d2 ~ H- g/ C6 Pset trade-record-current lput([local-reputation] of myself) trade-record-current! M5 v1 q+ K0 n! n
], w A j7 @, e j3 c* G! I, T
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself2 d1 a' \& x) N z% [: |
;;将此次交易的记录加入到trade-record-one中8 }. ~8 C0 }- l/ S# x6 h7 t" k
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
+ o" ~% z9 X' v0 ~let note (item 2 trade-record-current )9 s, R" y* ^# l2 i
set trade-record-current- T$ b& [( S6 ]5 H! O& k+ G
(replace-item 2 trade-record-current (item 3 trade-record-current))
) q- f4 @1 d+ M0 e2 X- s- Eset trade-record-current0 h1 n; y3 o9 N
(replace-item 3 trade-record-current note)+ x% a/ ~( t; p* h0 D
- e q2 K1 ?3 s# x
6 v9 J* L: v# P& Q6 A+ F# fask customer [$ o# e$ L/ `# s* l
update-local-reputation
, H& K. v, \! _; {- ]set trade-record-current! [8 t0 ^ J* l& k! q
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) 4 W6 q+ i1 H. K* v- A
]
/ z7 v" i2 C! c5 V) @- _4 p# w+ I: P
4 h2 Z4 A+ _6 n; N2 S% A8 V
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer- e( l4 k( m: O, s& Y3 ^
0 |; Y, f% L$ F( Cset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
. e+ c0 V6 l! e) p- n, \% K;;将此次交易的记录加入到customer的trade-record-all中/ s) p# G4 W" _* V2 O' h! ]
end
7 {0 e0 J9 n* k1 m4 s
5 X4 r7 b$ s1 n0 Fto update-local-reputation. b9 A+ c; e( F* z5 u) ~; x/ m
set [trade-record-one-len] of myself length [trade-record-one] of myself
- I: }4 N8 O+ ?" R5 t5 C1 o9 D4 q7 j# {' S+ V% X+ a
3 T+ E& l1 X) N% [;;if [trade-record-one-len] of myself > 3
x1 R- G0 M: A: J+ v( t4 |update-neighbor-total
* R; P" q9 @+ A) p' c: N* w;;更新邻居节点的数目,在此进行, I1 k( G9 f4 R9 _- q6 U, q
let i 3. T( l8 \) n+ O* H
let sum-time 0
( s, c4 e+ k: @& q C0 Uwhile[i < [trade-record-one-len] of myself]
/ H8 u/ U' O H5 f# M; b2 J! i7 s[: ~6 b1 t9 `7 [3 M: K( ^* ?2 N8 Z
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) ): ~2 T: ?. a/ b r. _
set i% x) \; T! p) f& Y) t# ^
( i + 1)
+ B2 L0 a+ b( W], W3 h' B# J3 G
let j 3
+ |' t; t( b2 @0 J5 r' [let sum-money 0" G+ i0 S& `, V& b- b; g& n
while[j < [trade-record-one-len] of myself]
. j1 o. p7 T8 j[
% E. b# A3 F' ^) D" pset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
* f/ F. `# @( c# o, h: n1 eset j, `! B* u3 p( ?! D+ Z% Q3 Q* t
( j + 1) I+ Z! c6 S) \, w5 _' t9 p
]" i2 Z0 b) ]4 q& D& m/ e, t
let k 3
! m- z. G) k6 Rlet power 09 ^: d* t% A% z! j) Q" ~
let local 0
/ U) H" T* Z, |+ W! h1 g, Rwhile [k <[trade-record-one-len] of myself]
% r. H0 _2 @. f6 U5 J& T6 a[- }+ ^6 M! o9 o# Z
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) $ D/ M8 x- N- D
set k (k + 1)
6 l! E1 G# q+ \9 h( H, P0 e]; C2 _' h4 I4 q4 I% z% Z2 A* N6 S
set [local-reputation] of myself (local)( j0 e3 W4 M0 o: |) P
end
- X& H; b& K8 M: J" ^2 R' H/ Y) ], {' F# R# f+ O
to update-neighbor-total# ]5 Y e7 y( Z* x
( e# R0 ^- U& f7 E
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]' y+ @* e |7 z& x% n; i. f
& y2 D/ q7 Q7 G5 K3 U6 ]9 }; _5 a7 C
end& T2 s B2 `& P' C U
- E3 a+ N6 H: ?to update-credibility-ijl
& I# o8 |6 C3 v
: L* P1 {. Y% R0 Q' z;;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。; k. h/ N4 P V. y3 }- c
let l 0
" v# r1 Y3 u5 D- }0 Fwhile[ l < people ]
; y3 k% R: u/ S8 \0 e;;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1 d9 U. q9 _5 r' _" h
[
: u! O1 F) M0 {2 S4 T) _let trade-record-one-j-l-len length item l ([trade-record-all] of customer)$ A- [9 P. U) @8 M4 V3 M
if (trade-record-one-j-l-len > 3)1 }7 y7 m" I7 V6 K
[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
3 \% V y. {, J( P, H n% d3 Ilet i 3
# u- {) L% i5 ^& llet sum-time 00 ^% P$ U# x0 k0 b$ H
while[i < trade-record-one-len]
4 o, ?! S" w" Q[
' {: q4 B% t& Cset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
- d" T% Y! j+ ~# C% L, Sset i' D9 n5 p& a( Z8 q0 ]1 A+ _
( i + 1)
) y1 c( j+ C/ u: ?3 ?4 [0 ^$ T3 M/ ?]2 x1 ]1 L. J ^
let credibility-i-j-l 0
* e+ j. `; u4 ? i M. a/ y3 G;;i评价(j对jl的评价)
( R: R& U* L6 vlet j 3+ [# b, ^" B3 c$ X
let k 44 d' e4 [7 R5 p% Z* r, I/ d
while[j < trade-record-one-len]
/ N9 z( ]: y6 }: Q. D+ s/ m/ }0 f7 v[
8 O% o2 d( L# y5 o, p& Qwhile [((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: H& N2 f) ]; ^% ?
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)
+ M$ A( ]0 C# U* c3 f$ T& X# bset j
0 f- y8 y( m" w4 k( j + 1)
7 _' O' ^0 ~4 Y9 e4 {( N]
0 \% x" N9 v4 S5 \0 Fset [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 )) z e7 }- ]+ k/ u8 |! ~; I
! s" i$ b6 s' o$ T
& k4 `; I3 X: L% z3 s- Glet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
6 D5 s8 O; M5 V/ g4 k# e$ B;;及时更新i对l的评价质量的评价7 d" W7 i" D6 c& N3 J
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
# J) `! i* b% o6 s: h9 Iset l (l + 1): `. m/ F1 u- X/ W' g
]! e3 H% k* ?6 Y2 B2 C. f
end U9 F) u& M/ |
, Y) I- P& |. q4 o. b F7 k$ {to update-credibility-list
0 f% G) C5 @+ D6 u! b+ vlet i 0
9 |9 Q9 w% G* l+ dwhile[i < people]: w+ p3 {7 a6 Z5 c( A$ @
[5 q' |$ l/ q# M q( y9 O
let j 0
: [8 {* {0 r, y' {let note 0
j& |' p/ `) ^let k 0! l( N0 x" s' S
;;计作出过评价的邻居节点的数目7 ~! h% Y4 t/ Y. ^* a
while[j < people]% M2 V0 ^, m1 G9 N! [+ L1 x/ ?
[
1 q* J* J' Q5 X) wif (item j( [credibility] of turtle (i + 1)) != -1)
( i3 b' ^4 A0 z. O `;;判断是否给本turtle的评价质量做出过评价的节点
, O1 ~, p$ Q# b, E# f/ R+ j[set note (note + item j ([credibility]of turtle (i + 1)))! `( x4 b" l9 A# v
;;*(exp (-(people - 2)))/(people - 2))]
* L* @1 I1 W; j3 T2 Y! J' J8 I3 Lset k (k + 1)8 t& G! o; u; }. U3 y
], e% L! e% J4 y: T5 f
set j (j + 1)% a& S! c& s K2 D6 D' b% L
]
+ e% y. ^- ~. ?. W( E2 E$ ?2 k' ]set note (note *(exp (- (1 / k)))/ k)
6 |1 ^( E7 F/ l+ kset credibility-list (replace-item i credibility-list note)! J, v( z' w$ @1 Q/ d
set i (i + 1): b% A5 ?! x |
]4 T8 ~2 ^+ B* J2 v
end
* ?' N) U& c& |/ ?& w( D% S5 S( G4 \' U- q1 H& p! ?9 C/ u5 w6 u+ t9 Y" N
to update-global-reputation-list
$ [+ k3 e2 B0 {4 b8 y5 r$ C Ylet j 09 O8 D. B! |6 y( N b
while[j < people]( G& ^; L+ ^" J3 g) x$ w
[
# o( x" w) ]& R7 ~( {let new 0
7 \* C( W) |- ]4 f3 w;;暂存新的一个全局声誉) K8 c5 W0 z+ f# ~
let i 01 u6 D. ~3 n% j! A
let sum-money 0
+ C% @/ s# B: o+ T# W7 Blet credibility-money 0
8 p H* n) [% ^9 b9 S0 D0 j, \while [i < people]8 m# j0 w% t6 N7 I* a; {
[: u& ~! r5 p2 ^9 j
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))/ r1 L# ?3 e* e
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))0 ^- h7 G# q! x/ L9 ?* Z
set i (i + 1)$ ~" m0 k8 }/ X" u
]9 g% [* V: _& S% f4 }5 n. ], a
let k 0 A, C* P" b y! R1 M" w" f
let new1 0
* f" u: y6 n. p, @. G- E4 swhile [k < people]
( A8 P6 U* O0 i! ?# n9 u8 o. @: I. h6 Y[) @7 x7 q& U5 h1 \
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)$ i4 ^4 ~, L7 e) R/ l+ X7 n4 y
set k (k + 1)
* r) N! l: y0 f6 O: j' g2 W]- X7 W( M2 f* l! s7 t
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
: [4 `5 B* Q. M _set global-reputation-list (replace-item j global-reputation-list new)
; j% p9 v( A7 Pset j (j + 1) J; Z- E- r# n+ o, H
]
. P7 X7 l5 [& I' T! N/ T* Q) Iend
, k2 H: L8 s. {' ]) W
' E3 Y D/ p- F, O; {6 ^: U" I6 ?$ E( P4 E" v+ [
' _) p5 S0 _+ i5 u# D9 nto get-color
( v/ [* p, y$ [5 L9 b
6 T. u% r+ b5 ]set color blue
% Y5 X1 k2 v6 v& ^" w/ o+ dend
0 P- o0 R# z! A" C9 _1 \2 K) }' C: b [2 ?
to poll-class4 e% S5 R+ m7 t- e+ P
end' e+ _& B" ~3 S
0 B& D& T# o% V, \& I
to setup-plot1& h/ X8 K8 Y! |7 y. L
+ u, v1 ^; y# i. j; wset-current-plot "Trends-of-Local-reputation"
5 F" Y$ n8 K3 o) [( Q" N2 p
# S4 y) D* c5 o( A Gset-plot-x-range 0 xmax
! y V9 {/ @( s4 |! c: u; R# S, @% }! Y
set-plot-y-range 0.0 ymax- k- O* u, {; P3 z- B2 k
end
* a$ u) {& A8 r+ X7 ?2 u
( X! S5 H/ j* V Y1 gto setup-plot2- n% q0 \" u) R! A
+ P: N; R3 _" k: X& J4 g
set-current-plot "Trends-of-global-reputation"! h' Z1 K: o; B, K
9 w2 {# i$ z, b& N1 Jset-plot-x-range 0 xmax
6 V- s2 s; @+ V6 v
* f! r+ C# R2 y! O( N; f, t: kset-plot-y-range 0.0 ymax! T# _2 z# e* r L; Y
end
. C0 M' `+ r5 V" |
; I( G; y' v1 F, C% nto setup-plot3* k+ ^/ y% t% i' a; z0 \1 U% v
2 H2 L! I" L/ O. z8 B; \set-current-plot "Trends-of-credibility"0 `+ }& z. E) {; ?
! ~. m5 M2 p) [9 O7 a1 kset-plot-x-range 0 xmax# D& \: v) i% _2 S! F+ m) `
+ F. t6 e" S: ?0 T. jset-plot-y-range 0.0 ymax
3 K( j; U) w, y( `5 K$ N) @/ k9 s' Q9 Xend/ m1 P4 a/ W# @( q
" v" H$ z9 p `) Q7 L7 x
to do-plots- G# \, |! H: v- J% c1 P. b1 o
set-current-plot "Trends-of-Local-reputation"3 ?, W! V$ } I
set-current-plot-pen "Honest service"
% X9 N, Y+ F' X( dend
3 Q5 U( ?* n' H
, Q* x7 V1 R, n& e[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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