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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4 E0 v* d8 ^+ ^- J1 H) o
globals[# _8 X; R5 x& q, d9 i
xmax, {" ]- i4 [5 }( \4 u
ymax' n, g0 p, W* k. |- O
global-reputation-list
: |; r* a3 s9 ^2 b) Y& T, ]# P1 k% V
;;每一个turtle的全局声誉都存在此LIST中
- r" m( f' u% I$ M- o1 O2 hcredibility-list# L7 M' f0 d0 B t& ?/ S* k! z4 ?
;;每一个turtle的评价可信度
0 Q5 h! T2 f O8 Bhonest-service
' y J V3 |& k( `. n7 z) S6 i! tunhonest-service5 H# A9 S* p0 W% a
oscillation
& b& v6 o% f! ]( |4 qrand-dynamic7 s- k$ {2 W z) n: D- l9 T/ h
]0 ?- @: ?' K/ T0 z
8 V; G% B" O. F* h3 pturtles-own[0 c/ c0 Z, T3 `, ]$ K6 {, E( @7 i2 c% t
trade-record-all
+ c o, \% x( k3 D6 M. G;;a list of lists,由trade-record-one组成2 Q4 U' ?) e! n# ^
trade-record-one- [: {8 u, A* U0 l
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录% c& p' X7 b2 D o( d
* D% N: E' l$ H) s0 x5 C3 _;;[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]]
7 O9 a1 _! ]* x6 |0 I- C" Jtrade-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]
( Q$ @2 q* B' \1 \' D0 Lcredibility-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
4 q% N6 E3 H4 pneighbor-total
1 g9 \: x( N ^1 [+ g4 |;;记录该turtle的邻居节点的数目, G+ e$ l- b% v+ E. E2 C
trade-time
, T* b* d' S) I% ]( ^3 i# _. W;;当前发生交易的turtle的交易时间5 u" I: g/ B7 Q4 c& H5 l" o
appraise-give
* ~# T s* O8 q- c;;当前发生交易时给出的评价# `! c" E9 P6 d
appraise-receive
$ T) W& d# G* ^; y;;当前发生交易时收到的评价1 [. ^* l- K5 H4 J, ^ E T/ n
appraise-time) f+ I2 `# S! U) t, n' \/ P$ _' m
;;当前发生交易时的评价时间
" ?+ G9 f0 V) m: Q* q( R6 j5 c" vlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉% T6 f3 A3 p9 u" g5 ~
trade-times-total+ W# ?6 ~- A0 e: ? K- D/ }
;;与当前turtle的交易总次数; N. W3 t0 G. N/ ?0 p8 w) I
trade-money-total
# r3 M( c) f/ {;;与当前turtle的交易总金额# e) }: j1 a1 a q, @' [% W- R, W
local-reputation- M9 I9 ]6 U- ~* t9 f6 A
global-reputation* v5 |; a/ m0 {8 x
credibility
8 H* H) _1 I3 C! r! S& M* z;;评价可信度,每次交易后都需要更新
6 } f: ~. A4 Y+ Q% H4 j& F' {credibility-all
5 E5 B- g4 ?! |. S( @8 O/ K9 `% n: S# J;;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# q3 A! x6 o# f. d7 N
9 j( q$ c+ |4 K! F;;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
' l* _7 I: p+ Q' T- {" v: l: Ycredibility-one
, F; K {' h! H1 o# A;;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
6 F9 d$ ^6 R% W* s, k* w- F+ lglobal-proportion' T! \3 a! q- R3 ^
customer
" w2 b& d- E. O' q6 V8 k% Q) Fcustomer-no: Z2 {: r1 P; ~
trust-ok2 R; @- h4 h( j) [, O6 D4 N
trade-record-one-len;;trade-record-one的长度
' j0 }( _9 F$ b. C]9 ]3 [9 R" A1 V6 s( z) ]
$ c. {1 c% Y2 l: w Z$ u; S;;setup procedure
" x8 _/ W# V4 N" n3 k8 t1 ^9 B0 M. a3 O
to setup
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ca+ Y- }) M7 a. C/ R+ X) b: h: Z; \
: P o- `7 w# _" Z- e# U
initialize-settings5 u- }0 O5 N. Q. ` _
. T9 k3 M5 V& k/ m X/ C. C
crt people [setup-turtles]
+ x0 ~" _3 ?) f
' M2 Z& x) w6 yreset-timer
h% i. C" f5 _4 Q
' ?7 `: i! R" Apoll-class
( v9 O, P9 [7 q& F( U3 j1 i+ f
' Z9 b. s% U: A0 j- }% fsetup-plots
3 O$ c. Z. c9 B+ F& f& f' X: ]! x* Z- L, d* _. D
do-plots
( {2 v" i6 R/ o$ O( i" oend s& ]8 w9 X+ l7 r$ O
( t0 g' @# ~" n$ xto initialize-settings
* n/ I7 [5 o" Y" z9 ~: R
9 l0 z& ? j/ h2 Y s$ X+ fset global-reputation-list []
1 S1 N) E) P, ^, f9 Y6 k. U8 E) M6 {( K2 b
set credibility-list n-values people [0.5]# d6 b1 U9 Y: A% }% @% `4 G* ~
; d9 u" m/ i% _& h7 J
set honest-service 0: y! ?/ e* g f% G7 R7 G! {
- B3 a7 K' V B& t; O7 \. tset unhonest-service 09 s( W1 w" n+ q
% u0 a2 Q" S& |% H% D x: A
set oscillation 0
8 c; n/ \9 c$ Q/ W$ d% J# J5 m9 u/ \- y4 V1 i) Z
set rand-dynamic 07 j" s" i' Q: ^4 ^& N! y
end
6 q- M8 ]3 i3 d, W( c+ o _
& t+ \- p0 y+ ?1 Sto setup-turtles
) N7 {3 K4 r* ^1 r, kset shape "person"
, U! n# J" c: fsetxy random-xcor random-ycor
, b+ \1 C" A y$ gset trade-record-one []
$ c/ f( w- C6 k* I ~2 L
7 Y( \ F O0 K6 i. p; Jset trade-record-all n-values people [(list (? + 1) 0 0)]
3 e t: h1 E+ k; `, b0 T
, v" \1 C% v* C1 A% n4 Pset trade-record-current [], _( w0 j5 ]9 X7 u! L' F
set credibility-receive []
. P; l: t3 w B4 A, [* c- q% c- cset local-reputation 0.5- N* L' n- Q* g" ?3 b( x; e
set neighbor-total 0* r& N- F$ f/ b2 F# n$ F, ?
set trade-times-total 0
0 J1 v+ s1 q8 W; cset trade-money-total 0; X j. z1 g, X; r
set customer nobody- m; H; Z; g/ l' Q) w6 B; C2 d, x6 v0 @
set credibility-all n-values people [creat-credibility]2 a; Z/ U& ]5 [, z& s
set credibility n-values people [-1]% R N9 n5 W, P0 @: @6 o+ Y. p
get-color* V) q9 ]4 k7 x' D% R( u2 |6 W0 v
, R7 p; b i/ U% aend( o* d$ l2 y. E; H. I' `: ?
5 d; L. `$ ?9 K- f Z' l5 vto-report creat-credibility
8 N2 D3 q+ J" }3 r9 J- k |( }report n-values people [0.5]
. s3 O \/ u. z: S% fend0 E& N8 u: D- f" @ v) d1 |
2 J% |2 q5 u1 E8 W7 \! i( i
to setup-plots* {. Z' ?1 l& D1 R/ j
8 s* L' j+ c: Q7 h2 B, E; k1 N
set xmax 30
: Q. a8 @; w9 r p% C- E. k1 O# b# R+ m! _6 g) \
set ymax 1.0, x7 v1 F' a" B9 u' j6 ?
0 L$ {' {' K) q* J/ G, V. G* s& Z
clear-all-plots5 j% o2 U2 N1 a9 {5 }% g
3 r( V2 x! x6 w; `' _" D9 m
setup-plot1
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( K/ d7 p6 k+ A' h# Vsetup-plot2, A% S* k$ q+ [# x, [& ~" z
4 |8 S9 C) Z7 i6 F3 O zsetup-plot3
# c2 H9 o1 J1 w0 _& |# D3 C; r) Qend) X2 ?' l: B! u# u9 N( ?! L
U/ n* J1 s' m5 V8 @; a6 `! E
;;run time procedures- m# C1 }; Z& L, j! C4 C' L4 f$ E
' s1 t7 `! E, S+ d. k- i+ @* A2 ?to go
( o8 p y* G! e- u! `5 I
$ Z* r- G2 M% |, _8 ~- N; j$ p Eask turtles [do-business]: I P- m p6 v [& |8 _( H
end
/ \! U. j( ~6 j. g9 v* V& l( ~' o4 P7 W( F' q1 m/ H
to do-business % [3 k: e4 ^( C) V$ C3 O6 M1 x5 s
9 r1 W* E0 ?7 q! E. q' s( F9 W1 C2 U1 Q- g
rt random 360/ Q7 m; g. D# X
9 h! U3 r, e4 }; n- o9 S5 I
fd 1' U' A2 x1 v2 ~& A5 {" x
% K: N( }4 s5 E. _9 k' `4 R
ifelse(other turtles-here != nobody)[( Q1 _/ G; D [5 q. z+ X4 V/ b
F8 w y9 i" eset customer one-of other turtles-here: h* ]# Q( z" p7 _. x! M' r7 a" \
/ d- G/ Z3 \/ _% z6 |8 H! {: D;; set [customer] of customer myself u( C) k. t1 u4 C* G1 {
F2 ]6 j$ K* l$ o4 n1 z
set [trade-record-one] of self item (([who] of customer) - 1)# i$ X$ q' s4 T0 y9 V/ L! A
[trade-record-all]of self) V5 i. T+ X9 l3 ?. C- T
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self" a# n' x4 v7 ]( F6 C
1 ^3 j+ C8 f7 h) N5 L g
set [trade-record-one] of customer item (([who] of self) - 1)$ C* r* C/ i7 n
[trade-record-all]of customer
9 M% V+ j( p8 V1 z$ F7 Y3 N
) N' c1 d, C! h# }. }set [trade-record-one-len] of self length [trade-record-one] of self2 Q# ^; k; r0 X
* F( U* f8 R2 g' z! F9 k0 `
set trade-record-current( list (timer) (random money-upper-limit))4 r7 `' O3 j& M R! f
' ^" S& x1 O N/ \ A4 @. Oask self [do-trust]6 P# P& y) Z$ \
;;先求i对j的信任度
5 p0 B! D" k, E* i
$ I# R3 B2 Y6 R" C) mif ([trust-ok] of self)
1 L8 Z$ x4 x! A;;根据i对j的信任度来决定是否与j进行交易[6 b% j; o1 J" e5 p, O
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself1 I. j. Z/ |; c, H3 a6 {
G) s$ g* G o9 ^% t* N[" ]" \. I' U1 I$ B/ ?$ T; ~
1 i) B8 R) @7 ddo-trade6 A+ Q6 P: b/ R0 q" B& T; J
& m, |( d( k% Z2 Z: A6 ]7 G2 Uupdate-credibility-ijl" N k6 t v% d: G
+ e1 {0 k, `! mupdate-credibility-list0 B h6 `. h5 |, P4 u
0 P8 F+ R* u( L! j/ x) c% [
- q+ V4 Z' p/ d) C# `; ?update-global-reputation-list: `2 q4 {" z5 e. ?* F
3 A$ m3 ^* A; L& z) L
poll-class, |* k6 e* s1 B9 _4 ~: N
4 F( g& X3 h- e8 u/ }: Aget-color- v/ @ h& U* M0 j* s8 M
! ]4 W: R3 d! J9 @# M' O* w; {]]+ ?, o+ m _9 J
- y5 @! U( {" `1 `# @) p1 k;;如果所得的信任度满足条件,则进行交易
+ I: [8 I: g% O' s$ T5 X3 H& D4 k' L
[
8 R6 D& `- U: k( n8 r" x- U5 ^! O: l9 `' u9 b$ K# L1 ], s
rt random 3602 |. t5 V) _4 [+ t$ _4 X
6 i5 A8 g! }4 }
fd 1
A( W- B6 m4 S2 ?* K/ Q
2 ]8 M: y" F5 r$ u9 k: q8 i: V1 f O]+ d2 @8 m. d7 j- g, P, _0 F
5 k% d" I/ N4 N+ k7 A
end
: ]3 ]6 m1 N# U8 b2 V! ~
& c. B' y2 h$ c. d' M# Z! m0 Vto do-trust - {8 W" g7 x" C" E
set trust-ok False, r1 q3 s' h9 r& T. E" W/ e8 k" P
; G7 H: e8 R! R
% n0 k$ x/ J$ O# K* llet max-trade-times 0; W) Z( A% F( j
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
' {7 V( c+ ]1 C' G! R9 m* Qlet max-trade-money 0( I4 z/ P5 P7 ?3 m S
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]* ~! X- w, e7 \) j0 N: r
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money)) A* u2 Q" d! Z9 q2 L% W& f
2 Y" z6 b3 R: l2 e# |6 M
) o9 g9 `: s5 U0 `get-global-proportion& ?: f, O" D; N) Z4 t" u
let trust-value2 h+ J8 C1 a" \6 Z, Q: u0 D7 w
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)
3 i/ S+ O2 B0 ?* f. e! i6 nif(trust-value > trade-trust-value)& U1 X' w: P- r$ O }# b
[set trust-ok true]; O/ {* \; P" U* N" p; D
end" b/ ~6 a' [1 Q0 c; ?% X
9 I k$ J' g4 Z2 d; Jto get-global-proportion: p, Q3 F, t5 x. l! C2 F
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
( k. A4 l4 e8 {# ]* e[set global-proportion 0]" h( D: }1 C) h T6 k( ]7 P9 z
[let i 03 O$ J7 S# v2 ^
let sum-money 0
# @! i. b( @2 awhile[ i < people]* U9 S! P9 T+ d- `* f
[
0 n0 H* S; L( h X# m/ ^if( length (item i; k1 r8 L% r; _
[trade-record-all] of customer) > 3 )
- d3 b0 [8 f1 K7 D( |[
( b% H& o$ `. A( h! i/ {+ cset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
1 m# q5 K* F0 f# j2 P& Y* l]
3 i' d( c: _8 y7 `; W+ j]
8 L6 X1 t) |) j0 A4 d+ plet j 0
1 d0 O: c" ?1 c( X+ L1 ~& wlet note 05 h1 ~6 G$ s: i$ }
while[ j < people]* c! s( I- R- n( p1 \- _* `' a
[
' e' o! w, r2 _7 H# g) \9 [ xif( length (item i
{. W6 d& x7 @% l1 J& f& o[trade-record-all] of customer) > 3 ), {' d4 I( Z2 g9 ^6 `1 A0 H9 _
[ i/ U! b8 b0 }* e! f
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)0 r* u, X5 c$ |$ M. w z. o5 x, {
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
/ d$ g8 T; X# [[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
$ q, q% i2 K2 Q( Q6 e5 r]4 m' J( t2 ?3 _
]
- e) X6 Q% \" u) E2 V2 E- Gset global-proportion note
1 ^; h& \' J# ]) ?7 p( H- `! E]& ?# r- d) n) i: f5 y2 N' U1 I- P
end8 ]$ L3 N4 Y% Z9 g: _ I% Y9 R
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to do-trade3 ]$ w% {+ r0 M2 E
;;这个过程实际上是给双方作出评价的过程
( Z+ V# H7 `7 s; N- aset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
+ S* x# ]9 u& F2 y' |( Tset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
% c3 k& O# i9 f% O( C/ j0 yset trade-record-current lput(timer) trade-record-current& a/ V* g+ l# d" `+ d9 H5 b
;;评价时间
g: i' ^; f8 m3 [ask myself [1 |! M+ r6 ^& Q# _3 Q7 U
update-local-reputation7 I0 E! [* k3 D8 h: E1 H
set trade-record-current lput([local-reputation] of myself) trade-record-current/ ^- j% e9 D6 P) }
]
' f* \6 p* ]5 Jset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
6 S- O0 K1 x" x: B+ V$ F;;将此次交易的记录加入到trade-record-one中
. n+ X! a1 L8 e4 |set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
6 n5 N ~9 |6 \% I4 mlet note (item 2 trade-record-current )
, ~4 G. ^5 o: r3 }- hset trade-record-current
- F |( |# {0 F/ ?(replace-item 2 trade-record-current (item 3 trade-record-current))3 A9 e" i" z5 B% G: R6 [0 @( @
set trade-record-current: R# l( e( c- F" m
(replace-item 3 trade-record-current note)" O. s0 @& \" A! q K" d
. f( `2 G. G& e1 i& H2 B+ b% P( G- p: M) V9 f% B4 b0 F
ask customer [, ^5 Y" M% R; n2 l% z( ?
update-local-reputation
1 ^8 U$ o* N; y; Cset trade-record-current
2 K: }$ B! W/ J" T9 O( ]' M3 S9 d(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) 8 X( \4 B; d7 V1 Z& y
]
1 w6 w9 n4 l! T# F X
9 g# K9 N8 \5 e4 l7 x; B* M& S4 H
6 ^5 K* q: S/ ?- uset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer* b; `; c- X/ a/ \9 T
% w6 |. D' P' j0 x; sset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
2 M! ~3 ~& C2 L- ?;;将此次交易的记录加入到customer的trade-record-all中
- E) h4 M* \! oend4 c9 b& h4 O M5 n, D( k9 w
+ r4 E5 T5 y5 Kto update-local-reputation5 Z6 `, L0 W! x0 o4 _; M: x6 t5 K
set [trade-record-one-len] of myself length [trade-record-one] of myself
" x; @2 s3 M+ N
9 @+ b8 W* i6 T1 \$ t1 [, m9 W1 V
* l3 `. Q W& t1 a; H' Q5 A I;;if [trade-record-one-len] of myself > 3 : O; m3 x0 b: ?8 k3 A9 K' L
update-neighbor-total1 w& f3 N& \) t8 e; I' s
;;更新邻居节点的数目,在此进行
% O- a" X) U0 h$ D% Slet i 3
* \3 S3 o5 n1 f& i. R5 ? {% @8 Slet sum-time 0
# C/ h4 K2 N7 U8 S6 Zwhile[i < [trade-record-one-len] of myself]
8 { i' l- F5 Z; l[5 }& G" _/ V4 ?& }1 R
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
4 W0 I" a A5 W7 {0 \set i
. Q7 e/ J ^: d1 ?3 L) `( i + 1)- B0 P% ^! F0 w: K$ I b5 G" R2 ~
]
" k) r" ]% l. A9 O- n1 llet j 3
) h+ Q9 d6 D7 Q& {/ Ulet sum-money 0
) d F/ F: d; J2 d4 Z3 Qwhile[j < [trade-record-one-len] of myself]
* ]$ u7 {/ L' K# p* V' l. t[
; _& W+ |" B `7 @8 [6 Wset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
3 {0 E% r% A! P( g) Wset j5 r0 A1 ]3 `. \
( j + 1)
% V8 G' l- z1 D* K0 r+ L]
5 _" I7 g( Y1 e2 d3 Y8 w8 o" Q7 m5 ylet k 3
" F; V: I! C+ v1 h4 llet power 0; g; N$ Y4 G% y; U2 T( X
let local 0/ I; h7 J" [1 @2 K, x& e' E
while [k <[trade-record-one-len] of myself]
/ c# q* H- p/ s- u; f0 b[0 o4 ^+ f, h T) a/ m* j
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) , _3 O% b4 j, g( }# ]
set k (k + 1)
- @) l* b* ^& n]% D/ Q, f' O. f: ~; I% K
set [local-reputation] of myself (local)# p" A5 l2 t" w* j4 `/ \; N
end
: L5 K z/ K: @2 v3 A6 I& {' S4 V, }3 F/ z- k0 P q
to update-neighbor-total
- U; ^' h( v) c, q; v) V6 v% H( A, b3 q' l- @
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]6 _5 q$ R3 {; _2 K" h
8 k. B: T: N9 s5 c# |+ q( p3 m, S
6 @) r3 e8 ?* G6 s$ Send4 D* U9 [+ k% I9 v
) h: {. c" A0 y
to update-credibility-ijl 9 J" A0 O: A% i- G9 E, N
2 r8 {5 _/ Y5 u4 l( H7 O
;;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。
/ @- f! L" w4 F6 m) Ulet l 0# E" r3 l- d6 {1 O8 A/ I+ b; _8 H' ^
while[ l < people ]; Y f* e# F# D- E1 Y' H8 \% x) k" w
;;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9 [) p' _8 i2 ^/ g7 _
[
5 `- \! `( [/ Q7 \let trade-record-one-j-l-len length item l ([trade-record-all] of customer)5 f* O# v$ o" W
if (trade-record-one-j-l-len > 3)
* ]9 p. m8 \4 I* f" I[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
5 t6 T$ C% V$ B& {let i 31 S) |8 y- f; L: ]
let sum-time 0. T- Y' y Z' ~; v. Z
while[i < trade-record-one-len]
& W& ?- s! w9 C) h9 I+ k[
+ r+ ?' B" J# a- H0 f& j- ]2 N- y. Uset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )1 l( G# C/ J- n- X: k3 O% N! U) X
set i
- z5 w4 X) q( c& Z o1 o3 r1 M( i + 1)
# n8 E6 e" B' G4 O) h, N* t* E]
! t0 m) T! K8 ~3 g0 K2 ]let credibility-i-j-l 0
% ?+ F' ?4 D0 G8 E& I6 R;;i评价(j对jl的评价)
1 ^" m* a N( s! r* ^: d Rlet j 3
+ O' f @, s) ?let k 4' ^6 e( N7 k, O% R0 C U8 y) p
while[j < trade-record-one-len]
2 Y* ^) j6 s j! ~4 M* l[0 ^6 }* U S9 r- B h% @
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; v9 h) w5 y3 ^
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 O" a; o* Y) G% T! F
set j
) M* n. h N- F, u* O( j + 1)
8 Y% y( m# P" s' g: G$ P9 t], r* c. X# B1 b" q# y
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 ))8 Z2 g' G9 t, x& n) A$ p
! N( p+ {& O" j
4 M# ]# n( ~/ D( E P
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
6 J# z/ @1 t0 t( O0 k* Y, {% o;;及时更新i对l的评价质量的评价
3 Q; q" s Q" S- \: Sset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]* U) B' |% V) y T5 I8 z9 R' g
set l (l + 1): x9 i2 g# d9 W0 g8 @ F7 r
]6 V$ b0 c- _* @
end R! e" x" C0 J' s# b0 f0 ~
4 [) C! M! T) U; [ rto update-credibility-list. `. M8 \9 C' T& W
let i 0
5 I+ g$ s# s* e8 k, _: cwhile[i < people]
0 u$ g5 c, Q9 T& }[
9 d$ f+ B* z- Elet j 0& {. Q$ R. Q$ j& E7 W. C
let note 04 ?' c6 a( v# {, K$ y) e y: X
let k 0
* V/ ~! H! M8 e8 B' Z% [) r; R;;计作出过评价的邻居节点的数目9 f: @( ]: E" t* o: G+ h; x# o3 I$ n+ |
while[j < people]
$ T; j. m8 C: ?$ F5 v" K$ n[
2 }3 A/ n9 h9 A) C" Xif (item j( [credibility] of turtle (i + 1)) != -1)
9 h- Y. j# [* A& D! f9 J;;判断是否给本turtle的评价质量做出过评价的节点4 h* U1 K: a% |, g
[set note (note + item j ([credibility]of turtle (i + 1)))
& \/ P0 w- z5 I* @;;*(exp (-(people - 2)))/(people - 2))]
: Y+ S# ?' D% W: a6 I7 bset k (k + 1)
! B# y$ O" j$ O+ q]& O1 R7 X+ C2 h2 x
set j (j + 1)
1 B% q( [2 W" |/ }/ g- a3 U# B]
7 y* y/ K9 @1 X0 q9 M) K9 {set note (note *(exp (- (1 / k)))/ k), w; p* ?" p- @% }: \! c
set credibility-list (replace-item i credibility-list note)
2 z+ a3 B2 S2 Dset i (i + 1)
- F6 @7 _( }2 X9 H4 L]6 w- D% g/ q2 {$ A2 T: V/ f9 w
end5 o" i- v. L! y
. d$ s4 @$ a8 f3 I: o# C/ xto update-global-reputation-list
0 L$ v, k( B. _( _, Nlet j 0, E+ ]4 J% e, j2 L: {& @
while[j < people]: n F. Q, n+ z6 l3 m' v; {
[
8 ?1 u- E6 T2 b Q* D) {let new 0
, j1 o' ^# C& s! ^0 b. K6 K;;暂存新的一个全局声誉& i% I$ r+ ~, y, G- k6 X% _6 K
let i 0$ x2 c# L" ~6 a
let sum-money 0/ ]% s1 p4 l8 W% X4 D0 {
let credibility-money 0# m' ^8 G1 {+ H! m7 O
while [i < people]
" {/ e) M- m0 t: l[
- H" n. X. P# [9 l# A4 F" d9 xset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))0 T$ M- `# n& D8 G( |" e. d
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
# d5 @* ]9 v8 } } ?set i (i + 1)
1 F% d6 s# _0 Y" L1 I]- S9 W. y6 ~: f0 G
let k 0
* N" f$ X% Y, N: B3 P- x' qlet new1 0; P7 R1 Y6 T* V/ I
while [k < people]( v- M) T& B+ u F% I9 I
[) U1 a3 J; i! l, ^
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)* V& z( \! W/ D2 `
set k (k + 1)- P- S) u: B" p3 A# e: f" Q9 Y
]( j6 I2 ?$ z ~& B2 u' s
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 6 l6 d) J' n+ V. N
set global-reputation-list (replace-item j global-reputation-list new)
2 K5 S0 J- M' Eset j (j + 1)8 c# h' N5 c$ H+ k- V2 Q% F
]& z& Y( s6 X0 U& ?1 T( ^
end
6 m5 d1 J# Y: C' y L# |
% I4 d0 A, P6 p) b1 d R3 U3 g; Z
- L, E% y) y) U" P0 M# ]% o
) j/ h$ z$ L6 ~5 h! E o) Uto get-color/ H/ ]6 `1 G' B" {% f4 n
) h% h5 K& F6 f0 t& {
set color blue
+ t! n. y' j# @6 [4 T2 ]2 Zend
$ \& s, c& F5 D
- V& z8 Z6 P$ I1 Y9 ^8 [7 Wto poll-class
) w A! J9 s# o4 g. uend8 _4 @6 {0 v4 S* }; Y* X
& _5 J( |2 N9 J4 _7 wto setup-plot1
0 L( O; K' q! j5 N: Q$ B) M8 W5 W/ C0 ]1 u. E0 P+ Q
set-current-plot "Trends-of-Local-reputation"
/ [! r- {2 f# A& {
9 k1 I0 ]# u% A- I% ]set-plot-x-range 0 xmax [" i( O' L8 q
- v+ l# _; S4 J0 ~set-plot-y-range 0.0 ymax+ T- E& Q# t0 g' B, @
end O7 ]3 e3 [3 t
% W" N. t, s& V/ o kto setup-plot27 w' K, j) d( ?+ Q0 O5 C
) J8 M% c& K6 }/ C! I
set-current-plot "Trends-of-global-reputation"5 D8 t3 v, ?1 Z! I" R
, y \9 p2 i+ Y; j2 a# H% P& a
set-plot-x-range 0 xmax1 a% Z, O5 V1 p0 a! E! @$ k) X
0 U( U. y1 `" _9 V( Uset-plot-y-range 0.0 ymax v- z9 b/ z: l7 A. u' F- k7 @* y
end5 P0 i5 ^( t ?
9 i/ ~! n; {$ b5 \) u8 V
to setup-plot3
( ^6 Y$ {# d9 Q& T, x+ [' h2 ~, |4 P
set-current-plot "Trends-of-credibility"
2 b' J' g( {3 F. M( M) T8 n
3 A; m+ V, b# H6 Y N2 Q8 Lset-plot-x-range 0 xmax
+ J2 e; `( |# d
( v2 H# j: s( Z; ]# nset-plot-y-range 0.0 ymax0 o1 z! B" N0 Q0 ?
end0 A5 P: v3 D" _* k# g% K
4 [5 k- \! Z5 ^+ l2 L1 J
to do-plots
0 h3 C- v' J8 V, K" P0 D+ fset-current-plot "Trends-of-Local-reputation"6 o6 m) Q2 V' _! x1 r
set-current-plot-pen "Honest service"
( _% B- W( V: M: p; W1 E- ?end
9 v& t: G# q# \: s% P, E, ~) P+ W( A: Z7 U: G8 D" O# }6 z7 T
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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