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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
2 ?0 f( \ } _" Z) m& Wglobals[
: C6 U$ h, v$ p, V' exmax
- G0 c( I4 k4 @1 ?- g( n" D3 |ymax
5 l+ H! h1 p* S# N5 Wglobal-reputation-list* h) a+ \( n/ O$ y
5 V0 ?( v/ N) X; R4 E/ J3 n' F
;;每一个turtle的全局声誉都存在此LIST中% n& \. J% }/ D2 R% I6 Q- p9 j
credibility-list( |& L, x3 d1 x( s, `9 i) S( F$ x
;;每一个turtle的评价可信度* B+ V: O; f, z9 C) k! U/ a
honest-service) ?8 t: Z0 E0 [& j2 e$ W
unhonest-service
e- |9 G6 P% S! C& S+ q/ u& Ooscillation: _. R/ p. A; n
rand-dynamic8 S& ^" O F- f; P6 Y9 l e
]
6 ?% [/ |; i2 Z( I) Y( h6 U% ^
turtles-own[/ n0 t9 l; l. Y
trade-record-all, m% \& f" I- b3 \9 E9 s- H: p
;;a list of lists,由trade-record-one组成
' n8 n, `) q' S8 B5 C; }trade-record-one g s2 k1 b& 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
9 X5 Q' O$ L4 }; W, d
1 b% s- P" T4 z- c& q;;[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]]
3 b& G* g* E: _- a( T1 s4 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]
$ j6 \0 n1 q5 k5 C' Y& g4 u1 @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
( F0 V, h0 M1 E9 Q$ Aneighbor-total
0 j* ^, Z+ P! ?. a9 Y0 \8 \0 C% ]. J;;记录该turtle的邻居节点的数目
$ C, h, S0 c0 [trade-time
5 V9 c/ F% g8 S7 C; |;;当前发生交易的turtle的交易时间1 _0 v, O+ V$ M0 L
appraise-give! u% `& _" T9 }% f5 q3 `
;;当前发生交易时给出的评价
' Z l' `: U* Q6 x6 X0 Cappraise-receive6 Y" y& ^/ R+ r; g- R% @+ l
;;当前发生交易时收到的评价1 _# z; @ ~/ i4 V( {
appraise-time
) Q, Y* U/ H5 v G0 b. J$ p8 |;;当前发生交易时的评价时间
# h, v; k( b' }6 h3 t& Alocal-reputation-now;;此次交易后相对于对方turtle的局部声誉+ N* F( C& r' _% E' p8 H
trade-times-total
+ @0 M/ K j% j$ Y6 W;;与当前turtle的交易总次数. W, z, N1 c- q7 A
trade-money-total" I- |# H" v m
;;与当前turtle的交易总金额% R# R8 } S1 l% ^' Z% R
local-reputation
; ?2 j ~# P, ~% I7 M, pglobal-reputation
* Z, Y6 J0 b" B3 U" d' Acredibility/ @; f) i% s9 Y" v
;;评价可信度,每次交易后都需要更新
. \1 \9 w9 h4 I+ _( o8 ]% x: h# Ecredibility-all' T; B2 e1 r T* c d* n2 m7 ~
;;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
1 P. f. D6 @9 |. R6 A+ x
2 z- R+ o) i4 G;;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% ` Z, X* g+ X5 B8 C, ~
credibility-one
) j9 f% r/ G8 r+ v$ Z; Q- @$ `6 B;;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
9 n" F, u6 ~6 q( J8 x$ B% pglobal-proportion
8 {9 l$ f4 e- p# G4 G& [* [customer: \% @* L# ]* Y
customer-no' b% N5 Y! R8 H5 s1 D, I d
trust-ok4 }. C1 t6 Q b: N& `+ A/ Z
trade-record-one-len;;trade-record-one的长度/ Q+ |% l# M" M" X. q1 ^- H6 x( f
]
6 z. A' c( T# g/ |
$ I. M6 f' o& c" e9 C0 U;;setup procedure0 u: G8 y& B+ h; y( r% j
, C9 \4 [1 }: S, tto setup+ w, m0 {, Y- ]
, N4 K1 a' E! J* G
ca$ b6 r" t$ u5 _+ @0 N- R
3 H( B" D. w: E2 ^: einitialize-settings9 g9 R, Z) G/ o2 u* R
5 m1 {" W3 {5 a3 ^
crt people [setup-turtles]
! w% ], I; R. M1 p/ u4 f. v5 j! A2 x, k0 R m. d0 q7 m
reset-timer, }3 G# b' N5 [4 Z- E8 l' i
. F; g8 h1 r* r4 _1 M
poll-class# ^2 `7 m! Z" m
q8 T- e0 w5 c4 S" Fsetup-plots0 A: G2 [% k1 l) A
- J3 q, G- ?1 c' `do-plots
4 v" g+ N c$ hend& D- u3 B/ x+ O) t& P
8 Z! P. f* g. A' Z+ x( |. z: u
to initialize-settings- |5 K W! v) y V5 }
3 ]2 O/ p( ~7 i$ U
set global-reputation-list []
+ Y" s. T0 \+ p2 S0 w8 X& |3 i$ p5 z# s# c4 q/ W
set credibility-list n-values people [0.5]
7 U6 [) ?0 T% x3 Y0 U
1 A K& W/ s+ k7 Aset honest-service 07 T6 ^/ F+ @' g8 v/ R
/ k$ H0 _8 ?) D$ uset unhonest-service 00 ? I! [* r$ ~
- Z: m# m e. n
set oscillation 0, j& Q0 b Q# @ d( M$ M
# ?# E8 u2 r8 Z. N- ^0 I' t4 U2 o5 dset rand-dynamic 01 y8 L; \0 B& J4 i2 j
end
6 X! G/ J- L# G. @% e
5 ?6 Q" c; T4 [# }5 f8 L$ Qto setup-turtles
- E# D" W9 _, Xset shape "person"3 Z! U1 O% O3 O/ A( y i% o
setxy random-xcor random-ycor6 j9 x* L/ l4 w% z& ]
set trade-record-one []
5 Y. S1 ~/ D t+ U
% ~" P! f6 _& E0 j9 U4 {4 }set trade-record-all n-values people [(list (? + 1) 0 0)]
2 D% d2 l' \. g' p+ _# C3 v' s7 {
/ w' [8 M, R l+ Nset trade-record-current []
9 L/ B& B: S$ I8 K, X: @7 C. p8 Tset credibility-receive []
& \6 x" \1 G. `; u2 Z1 Y% V wset local-reputation 0.5
: I" u; h: @5 C' z- |" Pset neighbor-total 0
1 r S' m- @8 J7 @% Wset trade-times-total 0
, Z% Y1 j( c$ J2 Cset trade-money-total 07 B1 W7 m, U1 Z7 R6 F
set customer nobody) A; y) b# G3 x. {% q G; f/ _, |
set credibility-all n-values people [creat-credibility]( k) `/ Y: f! A0 J! j. W! h
set credibility n-values people [-1]4 e! N3 p Y2 ]5 f8 j, ?2 j" C' A* n
get-color. u5 T3 z) ~/ W7 q
" P6 H5 Y9 F5 Y3 |end
- k- L3 O/ Y% L
8 z. J" Z$ Z. g, Lto-report creat-credibility4 X3 I- f: h4 M" C
report n-values people [0.5]9 ?8 z$ y9 ~' A( }+ V' b
end3 \8 u: Y- x) C1 X
9 ~$ F4 }: f" _1 o3 E( k+ \
to setup-plots+ {% V( X7 m/ T1 m
& Z) ^" v2 T8 Y: z6 wset xmax 30
5 a7 o# {6 j4 ~7 L& G; }+ k' S. o2 F
set ymax 1.0+ x+ k6 m( \6 X( n( k2 J( s8 h
% \7 C" E! Q- g! `% U
clear-all-plots: h" ?2 j( W& N5 I
4 ?) S7 o) c- R0 G8 g3 Y6 Ksetup-plot10 @$ z# Z1 e1 ?
- k- r/ U6 e, ^* d2 |setup-plot2! i( ]! [1 h7 R
0 Y/ q' o" E' ^( csetup-plot3
1 _( B |, Q8 |% lend0 F ~% B' o3 C! j2 A
' F0 a. D- }1 j2 P8 S;;run time procedures0 ~6 w& G7 P* x" \
+ B4 C+ `! {, ~0 _9 m" yto go L. [) Q) j" W
" w3 H; V2 y+ y/ H) O" [. y9 `2 Xask turtles [do-business]
- A% X8 d7 x8 B' h2 Oend4 |" K8 |- U0 z# T" ~! B* Q2 E0 E4 X5 s7 X
/ ]: L, e4 X) Y0 b7 ?
to do-business ; \4 k3 F, Q, D' J; V
7 y" {& |% u. w6 G3 u+ O% R X7 {" R* I
rt random 360$ u0 A! C4 F5 a3 N3 p
7 q" B% f- b4 Z/ M4 Jfd 10 X- u) b. ]- E; M! X3 E' F- P
4 {4 t, w6 b: p
ifelse(other turtles-here != nobody)[
3 F9 [9 Z5 h) C* `( b$ c9 e; z
9 b8 h- a5 x2 Q/ Tset customer one-of other turtles-here
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;; set [customer] of customer myself- v; x. l1 O7 {' l( I7 }" N
8 l- ~) U0 j3 Y, `4 \
set [trade-record-one] of self item (([who] of customer) - 1)
. Z4 `) O( H) }: A; ^6 N8 o[trade-record-all]of self, z$ l0 {3 w9 K2 l g6 c
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
; E1 R p( ?% M9 `
5 D6 F6 Q1 B0 v9 wset [trade-record-one] of customer item (([who] of self) - 1)( @4 @5 K. R' x. q; U2 W: U& u
[trade-record-all]of customer$ M1 S) I* s% W1 q' @
$ L4 z$ C: X3 x Z' u
set [trade-record-one-len] of self length [trade-record-one] of self$ S5 R% w. B3 n) \/ l& V- V
5 [ x- F; J0 oset trade-record-current( list (timer) (random money-upper-limit))9 A( F* u( G: Y) L" T/ |
- O I% ^' S2 }8 S/ M! ^" n! Zask self [do-trust]
$ a# \1 L3 f0 f3 J: C _% i9 A;;先求i对j的信任度
3 B0 ?6 K P. x( y' U% t% |8 Y& F5 q1 Q
if ([trust-ok] of self), {* N3 i& ^. [8 ^
;;根据i对j的信任度来决定是否与j进行交易[
6 ]" l, s7 y. B; d9 o' }. R, jask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself. k7 q3 q2 u% j+ N6 W
; D5 [. x! j2 S5 ?9 U[
* ~8 c4 _2 I3 W' h& q9 Q$ s0 e1 y- q7 P# a+ W; |) h
do-trade
5 B1 A" X( d$ h0 B/ h" l# u8 r, E5 @7 N9 O. N6 L4 W: D
update-credibility-ijl
, u3 f) K% A/ u6 i( M1 W
* c: n0 k+ Q9 R3 t g% Pupdate-credibility-list7 l4 s9 F! i: m* j* Z" j
V7 R- B0 Q7 i) G* i0 I
1 y- p) A3 D0 {& W! u- [- B
update-global-reputation-list
: c+ l& W+ ~- L4 H1 d: p! {
y* C" a$ D$ N, w3 g' t. r- l Npoll-class
( d: u) T! ]7 o$ [8 z( ]: s* I' ~
get-color- ]: I$ Y- k3 s& H$ ~' F
* Y9 g$ n; G8 H1 n! ~6 l]]
% Y b. a, y- z% L3 v5 p8 v0 E# q5 V: d8 h& D* p/ [3 c
;;如果所得的信任度满足条件,则进行交易8 ?8 q% N5 G {: ?! M0 T
G2 v1 Z1 Q5 w0 Z7 f[
- K+ a" }3 ^( }: n. J
( ?9 H- C8 Y- Z$ Z; V3 Q& _rt random 360
8 Z. @# V# {9 o8 x) b: A/ ~1 r
2 v- n) @% V- o( u6 Ofd 1
' t: D0 a/ b3 h& h! U- D B
. w6 H# C, c6 c' O]
" w+ t1 q8 g9 q+ M: | n6 H' ]* Z- m) ?' Y
end' C3 o* q+ y* P- @; o
7 e- ^# Q4 d+ D% ~2 ito do-trust
r j4 A* R) R& I6 z- p1 vset trust-ok False4 W9 Y4 H" K4 a' |
( k& o+ a0 y2 K6 C
H. H/ \; P7 O* _8 ^let max-trade-times 0
6 p4 W+ D& e) o( [foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
3 I. _3 l+ |, a/ plet max-trade-money 0
0 W9 q7 h' T6 R ~3 {$ U) I- Dforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]/ z' z% z# \1 G1 Y4 V+ y+ \/ J
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
6 n# Z; Z; g5 f# _1 f
# i. h0 {) l. C0 Y; ^
S, C2 o, {; d4 B8 hget-global-proportion
% @5 ]# F9 |( q: N, Mlet trust-value
1 |5 |, s1 |, G7 K& _$ u) Z# |local-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)1 b4 U) ~& \$ _5 w) i' u N0 k
if(trust-value > trade-trust-value)
: c0 K* g- |0 B I; h) r; F[set trust-ok true]! l' X6 B0 }4 I$ p% f
end' K5 c" g: J1 ~( l+ W ^( e
) t" S* @& o5 U l% qto get-global-proportion- @% v' S6 ~$ k, Z* o! P2 N- ~# E
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
! p! N2 A) o k9 q" L4 j% ]1 C$ _[set global-proportion 0]
3 G' H3 k) q' M. b* i: q[let i 0$ [, W" \1 b c) w7 r, O8 w
let sum-money 0
- Y- N4 U; D( d' ~while[ i < people]
4 y" z s1 }6 }8 u! x[
. k! A" @0 j C6 {6 r4 U. Dif( length (item i
5 n! V2 y4 z$ W- C/ t[trade-record-all] of customer) > 3 )
& O' s8 u, x5 V, t[7 r. d5 d3 u9 ?" H" ^5 N# i6 M
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))4 a6 F; d) w: ], `$ T' e7 Z3 l
]0 z3 ^) q5 n9 p
]( S Y& W% c( q* N) W
let j 07 f; e& e- I& R5 [9 A1 ]
let note 0
* e) C: l$ H* m$ Twhile[ j < people], x9 e. b, F+ K+ k7 S
[
. b- {# T# k' p( |, mif( length (item i2 K y1 w7 c, K/ U3 ~0 n
[trade-record-all] of customer) > 3 )% r4 D6 d( h) L% z. M% J [( K& B, O
[6 J1 Y k/ r: _0 H' x7 I
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
8 ?3 G0 I8 k* K[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]: A6 ^9 b. e, m# S! p% R; e
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
Z# {3 n) p* d]
! H4 m- x: A' b] f$ h6 b( e4 M( x! i0 ~. C' `' C
set global-proportion note
) M9 \! a/ _2 O k$ l( b]* p' J' d4 n7 n- J& f
end
/ L* b: l/ i2 A% H* K) S, U9 [0 B
$ m' d/ C% J/ t) E5 }to do-trade
1 ?: E7 j; R' q1 n! O k4 J! p8 p;;这个过程实际上是给双方作出评价的过程6 W3 a! U3 ?/ ~& m$ p! `$ C
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
1 l4 w* K+ Z0 g' Y4 t( hset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
- s. J* q# Y: r. X* [set trade-record-current lput(timer) trade-record-current
; _* ?2 w$ `# h0 B8 z; c;;评价时间4 ^/ Q7 @2 k5 n( M$ _) y: R
ask myself [
6 M% R$ r+ K6 m5 s' Nupdate-local-reputation
; x+ F1 I, W- pset trade-record-current lput([local-reputation] of myself) trade-record-current
! i# X' D! I4 x4 Z8 ~- U1 S]
( e3 R2 m7 I; c2 j# Q( S% pset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself# g" G5 A0 ~' v4 A H' Q
;;将此次交易的记录加入到trade-record-one中
) o& v! V- a8 Q# |- zset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
/ s# ?/ X5 Z* Slet note (item 2 trade-record-current )6 Z: W# _2 U7 R6 z: y+ P8 u
set trade-record-current3 k3 e$ i) i/ o' \8 y5 ~. D
(replace-item 2 trade-record-current (item 3 trade-record-current)); v5 B% c% v- H4 P$ t5 p8 U8 G" m
set trade-record-current
T5 k( \& P1 ]+ R- g- ?(replace-item 3 trade-record-current note)
8 Y7 {, f1 r: n$ T# I
6 Z+ `2 ?8 W6 o
9 g$ y/ |. n- v4 v) g( kask customer [
! D7 Y, }2 D8 ]$ K2 K9 J, dupdate-local-reputation
2 x$ @9 G* x8 o9 N" L# _set trade-record-current
" W% @) ?8 X7 O& ^(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) , f$ U9 h6 l: f) j0 C: R
]2 | o" S9 @: s# `' c ~
4 m# ]5 o7 q: }0 [! W3 ~7 o0 r: @
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer$ t% v, K# @+ u) K0 v, K6 v: z
: Z) r1 p& K+ ]8 R sset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))" p" \. L. P( }/ Q
;;将此次交易的记录加入到customer的trade-record-all中 q9 {" O9 {. s& h9 F) F6 F; W: j
end
% v/ F# ]# b: {( K1 p6 S/ f4 ?
" v0 S- u( q/ P f/ @1 |) fto update-local-reputation# _/ T7 u2 u+ ]; O0 F9 x9 N) ~5 l# g
set [trade-record-one-len] of myself length [trade-record-one] of myself
I5 u6 n0 P4 q9 |' v
, C% z2 ]! K G1 H$ }4 f$ l: i# X* u6 G
;;if [trade-record-one-len] of myself > 3
+ [& a m5 Q! L8 ?update-neighbor-total) I3 \' s8 ^. \% I
;;更新邻居节点的数目,在此进行5 m ^% }8 L0 f' K
let i 3
. X5 _, c5 ]- N/ K8 H3 x5 olet sum-time 09 N0 p% v) p/ B% X! @& `
while[i < [trade-record-one-len] of myself]6 o. \6 J5 H: A
[
! H3 ]# n9 c$ o5 G8 Tset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )* n7 U8 W5 z$ S0 R7 x
set i
0 J4 H3 l( @( n' ?5 j( i + 1)
. D9 J% y+ n# Z]3 m2 n& J4 T2 k4 g* ]
let j 3' A! a; n! M6 g! g
let sum-money 0' W& r4 f h1 n& G" t* T8 C
while[j < [trade-record-one-len] of myself]6 }- Q) Y; g0 v( r) W- D
[
& B& n- \) y4 h% ~; nset 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 n; X6 A! y( H/ l0 Rset j
Q! R3 g' e- l- i- ^( j + 1)
% H: H4 |0 v; c+ L]
* u5 N& T# q2 [. zlet k 3# k4 T! K* D' z$ r! v& g
let power 0
6 r, j g& H+ M5 j# klet local 04 o. u' Q1 w9 W" N; r
while [k <[trade-record-one-len] of myself]& w" u9 l5 K5 h
[8 R+ t& b/ `6 R: y* j- {4 T
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) ! y. y( T6 r2 Y% Q5 T( z
set k (k + 1)1 n6 P$ z1 l6 U0 [/ e. }, n
]: ~% G' L0 |2 F
set [local-reputation] of myself (local)2 d; Y. ` [ D x% p& B4 \6 I# u; ~# U
end
/ v# y; \& X0 z# d6 Z4 r6 x
" k. {6 q3 D9 ?% U+ Gto update-neighbor-total
( h% j5 T" I1 B) \- t- s# @- h. J1 x0 N, ?, ^1 P: J
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
4 {4 i6 B, Z/ K1 b6 u8 T1 \/ @5 j7 K' V3 g; ]; Q
3 f/ k* a+ S8 s; C
end6 s% A; s5 g4 B3 v& @
1 K& v4 T- T" F+ q
to update-credibility-ijl - A0 c8 R4 w0 f; ]/ f
' @4 M |2 J7 Q9 t) d, 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。% l# M4 P7 a( P" @$ L- u
let l 0
8 k( N2 Z8 t4 ?) \while[ l < people ]" o5 @! O8 _. n: d
;;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/ Q; P2 i- z) K$ L; p
[2 Q( Z+ O; X( |
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
& B& C7 I5 {0 Q5 O6 W4 {2 sif (trade-record-one-j-l-len > 3); G5 L1 C/ T% ^
[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 a3 E4 ^3 l$ Blet i 3
+ S( Q- H$ I F5 B7 [3 dlet sum-time 01 X7 q1 ~1 \! D
while[i < trade-record-one-len]
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2 u9 X& I/ v- N( N) m: }* aset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
( f+ N9 B) H/ F" K- {2 Z& eset i8 r% k5 V8 x+ D0 e k3 F B3 @
( i + 1)
5 J- t) C. c$ Z! z/ }. C]
: n3 @2 f6 s0 o% |1 Zlet credibility-i-j-l 03 m7 g; q/ m# u# X& l% O3 n1 f
;;i评价(j对jl的评价)% m5 u4 W% u7 r3 V; g2 ?
let j 3* J8 @8 _9 [) u6 x& p+ |9 @2 s
let k 4
5 s+ R+ u$ Z; E3 Ywhile[j < trade-record-one-len]
: i8 T" l' O0 j8 D[
5 Z# ]& b! p# y2 ?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
& _2 e2 p) `( ]0 o7 _* [; Y2 Dset 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)
" [8 {) ~+ F8 J6 k7 c! Mset j; x- {& v$ ?# i3 P
( j + 1)# O; p+ K- M% o5 D4 t. Y A
]
! F+ K/ C+ p q) N; `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 ))/ `$ v, t) s% D( s7 a k$ X% y% |
) h. \& z$ J. n5 @' e ~5 E0 `
( R/ z Q7 G1 h- r+ E. L5 J1 \let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))4 J+ v+ o7 T+ K7 \. b+ b2 ]
;;及时更新i对l的评价质量的评价6 V6 \) Q. _$ \( H
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
2 ?9 z2 l. U* d. f( Y% Aset l (l + 1)
: W) P+ w$ _3 }, @% g' N]
" K& e' F# \* C: s# L2 tend+ \8 s' c u( t5 q: g) i# Z
6 [1 ?! Z3 l) w& e1 [7 H
to update-credibility-list3 `% h- s, `/ N ~9 Z C% r8 l1 z* Z
let i 0
0 X D ]1 G6 F5 j/ Uwhile[i < people]
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let j 01 B. g% o3 I( S D" A
let note 07 h3 Y( H/ q3 O" C4 q
let k 0
8 y* _$ A. J: k6 r$ j* o5 F;;计作出过评价的邻居节点的数目
; M3 x- g) Y/ C: Jwhile[j < people]+ N R0 P. a) z9 B. ?
[
% n- @; E1 K; r0 x$ t' @! qif (item j( [credibility] of turtle (i + 1)) != -1)
4 p8 l; S3 G. m: H3 B: ];;判断是否给本turtle的评价质量做出过评价的节点
0 |: }% X7 p1 |' C2 p8 v" X; E" G[set note (note + item j ([credibility]of turtle (i + 1)))7 t j/ q( E/ h
;;*(exp (-(people - 2)))/(people - 2))] w! X$ k z, `: k ^' F3 I, [% {9 G
set k (k + 1)" L9 b) I- _* H- m' y$ @
]0 r# L( R/ w I
set j (j + 1)
& p, [1 s' r3 A9 @/ W$ j/ O. a' `]9 h6 m. n( Y$ F! y8 J
set note (note *(exp (- (1 / k)))/ k)' d, Z$ t/ ^5 @) E
set credibility-list (replace-item i credibility-list note)
: Y+ L% B: f3 a) m; J3 Cset i (i + 1)8 W2 p( y2 s' p; c- `6 I+ C
]+ B. k7 P, w% f9 b0 s/ }
end
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# s( B2 z% @4 {1 n. p1 Qto update-global-reputation-list; g8 m$ J/ w2 { b
let j 0
! o. _* |! R9 d+ y- S% P5 [while[j < people]: t* R( u6 q' e
[" M L5 u5 A c7 ]
let new 0
3 ^( ^3 Q% q- g4 Z e( P& S;;暂存新的一个全局声誉
+ f0 r& n- {% H: g H2 ?let i 0
! D( S8 M7 z0 ^/ H- u- H: Hlet sum-money 0
^( d" r/ N. x9 |) Wlet credibility-money 03 p! h" I0 B7 s
while [i < people]; N* l5 p' n8 U. m9 `- v
[
! ?& S5 a3 \7 r5 V0 L9 Gset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
M; S4 t( j2 ?) B' b }set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
2 `/ M0 b8 P' F+ l7 w" cset i (i + 1)2 P, I/ Y a% C5 e9 w. u6 w
]- f! e' C+ @3 Q8 _7 t
let k 0
8 ~! p8 Y' y2 \let new1 07 A+ a+ L- t; _& T8 c' `- V) n! \
while [k < people]
\8 F Y# ?% c. C, v. D, d5 H[
6 B* L1 p9 s% b0 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)
) [6 |+ d7 x( a: Xset k (k + 1)
2 K5 f# K; [) e: i" e& a+ @" _# A8 s]2 ~6 r4 A# E4 s9 o7 v
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
/ C) F& A; T, R) f, kset global-reputation-list (replace-item j global-reputation-list new)* c$ D% s$ u, J# O
set j (j + 1)
8 p4 L& O' Z4 V- k2 F]
1 M' } E/ \. _+ N/ }; hend
6 y9 L2 ^$ b# g8 Y, j$ ]1 n5 ~4 [" M b4 c& t1 D+ r
4 e# d4 L. t4 c m- M! e" u- q" |& K0 C1 j7 ~& o
to get-color1 [" ?( w8 @% s4 V; x/ q8 p& H2 c5 i
. J% F9 `( m1 @, O7 p! U
set color blue
/ X( S/ G3 a, lend
8 A) l* z( v# N) \+ ~
$ [0 l+ p2 [: {( qto poll-class( \( b9 s e6 @7 Y u
end6 n: L' O1 `, f
# Q8 [9 O+ y+ ? z5 Uto setup-plot1
. F4 \- k6 F) p6 B6 v/ b9 M
# _( u* I+ }& r& e8 s' Pset-current-plot "Trends-of-Local-reputation"
, q% l& T) D! Z" O) P5 g2 ~3 b
. ]8 o' _3 Y5 s" ]4 Zset-plot-x-range 0 xmax
+ J7 d* l# I. H# g6 d7 X) B5 F0 O) F+ T- w
set-plot-y-range 0.0 ymax; T8 R9 E- `6 M% R! Y& w7 ?8 M
end
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to setup-plot2) _; u( f6 y# n( L
- q; o+ R8 g. Eset-current-plot "Trends-of-global-reputation"' b3 W9 U9 L" y
8 D- q0 G: g% G( Z
set-plot-x-range 0 xmax- q8 t) h) Q! p, _4 N1 k
$ n( Z. ]% ?% L9 Q( V& l
set-plot-y-range 0.0 ymax2 D+ O$ `5 ?( ?! l, K- `
end
$ o' z% M4 `- G. J2 w8 c
& g Y4 J" o. Q4 N, qto setup-plot3
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set-current-plot "Trends-of-credibility"
6 i3 I* \5 g8 E0 D) n/ m: S5 x* D" C0 ?9 z# O- z% d, y
set-plot-x-range 0 xmax
g4 s( Y7 f, L2 {. {3 ~; B5 S- W3 V# j3 }$ D% ], z
set-plot-y-range 0.0 ymax
* S" X; m; u$ m5 |end5 g- B. _6 a2 }. |' m
% c& L) ^2 f1 J. wto do-plots
, V5 c# i0 n: m- t, Bset-current-plot "Trends-of-Local-reputation", `5 @: j' d0 Q' V: l% b
set-current-plot-pen "Honest service"* H) C& P2 D$ X ?8 K7 C6 X2 W
end
" ~1 _( h4 S/ @) I7 ~- O& E
1 S3 A' \; k. D: m2 o; F* L6 l[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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