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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* a* E2 X) }6 `+ l0 a, z. ~1 u& ]
globals[
2 B2 \! V# F+ z9 W+ Kxmax
! m' a1 o' j" r5 D! {# [" g# H$ Kymax
# k5 R: C! M# j; Hglobal-reputation-list# P, ]% v2 u* ^. H# n6 q' ~+ I
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;;每一个turtle的全局声誉都存在此LIST中
d4 Q$ C( E3 n3 b+ e0 O I+ v$ t, Ccredibility-list& i$ @1 d, I3 Y& D5 `, V8 a- c
;;每一个turtle的评价可信度
% I6 R) _6 m3 ]1 khonest-service2 }9 ]" e$ }. G, V
unhonest-service# I& L# [, C+ y7 {8 r. \
oscillation
- _6 e3 q. _3 _, s8 U. Zrand-dynamic& e) ]: w2 R) r, p6 X7 S! j
]: b6 e* b! N% Y& W, p7 X
$ c1 B$ y3 n& d! Z- s# o4 @turtles-own[
, b3 V4 m2 X& wtrade-record-all
+ o( ^; h7 z8 q! t1 D;;a list of lists,由trade-record-one组成
/ I5 v3 [6 m( ?/ jtrade-record-one
" h' m3 {4 ]+ o' k6 I' C3 J;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录* a r2 A! X* Y1 F' x
6 M5 B1 P& H+ ]( n# |
;;[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]]
( g/ S7 c7 U9 ^3 Utrade-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]8 i9 B8 H2 `0 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
" ]8 c1 x! N! W0 G# Dneighbor-total
; U3 x6 r2 f' |5 J;;记录该turtle的邻居节点的数目# R: b2 @* i8 u8 ^6 S: a
trade-time8 g' y( J5 y! D# z; ?$ `
;;当前发生交易的turtle的交易时间7 _ c. P( r @$ T6 [- Y
appraise-give
5 W" h6 d V" P;;当前发生交易时给出的评价
- P2 a/ L$ c8 J, ]appraise-receive; p' q* q0 @; ^" ?& A& F
;;当前发生交易时收到的评价
( D% p4 E0 k I' c* K9 }6 N4 ^% @( Tappraise-time8 c) m7 e. X- u. d2 j) D
;;当前发生交易时的评价时间4 T- S9 ~6 A- S% S1 y# e
local-reputation-now;;此次交易后相对于对方turtle的局部声誉' w% ^! U! ?1 O/ E0 K- m
trade-times-total m- f& r& {. o. z' j
;;与当前turtle的交易总次数/ J# Z( |9 x/ g% L3 v( C
trade-money-total8 ?+ \' l3 g8 h5 F! B
;;与当前turtle的交易总金额7 \- y: n6 B% T4 @* ^5 G8 F! @% |, s
local-reputation# R- v5 @5 \& W( u9 d% x
global-reputation5 k. v3 A# }+ C% a& ~
credibility
* g) w+ X6 k8 t6 `7 x;;评价可信度,每次交易后都需要更新: j, y+ \; B0 P+ E/ ^' @5 _
credibility-all* H5 U' v y# p
;;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
! ?- O3 H, c7 ` U
' w, I, Z" G- d;;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
: {0 |" B0 C8 w! Z& dcredibility-one9 w0 @9 a, q# M6 Y3 E( x
;;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 ]; L P: G8 H) f' @global-proportion: X4 g6 d8 h1 A. X2 s
customer
; X$ ~; X9 m% X7 T' h& b5 Rcustomer-no9 d- @7 {1 z. N5 } B
trust-ok
, P5 M2 D8 @2 w, Z. w; }% ~6 _trade-record-one-len;;trade-record-one的长度
6 _* B. I% z2 F]" b$ V5 |6 L& H' e ?6 Q `
1 K7 {1 q, V% H( Q;;setup procedure
9 ]0 s9 Z) x% s N, l( s, [
- g. V( F b) x, h) m- ato setup
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ca7 Z. F$ ?+ u7 S& c8 D
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initialize-settings
9 o6 M: ?4 L9 A8 ~7 [2 I6 O+ V, V! z h! W7 u. G
crt people [setup-turtles]7 }' K0 X+ ?/ m) p8 Q
' E( u, O0 q8 h' `3 a$ M
reset-timer& ^* {. G7 q( `) V
8 o0 x. B$ U xpoll-class* `. b$ l8 ]8 m+ n
+ V7 k( r6 w9 ]9 M7 M5 E0 o
setup-plots# G2 l% p0 W' `
! _. Q" w% T1 Udo-plots1 q) [/ F4 q/ ^1 @. I
end
9 u0 K6 m7 q$ O; v) ^' {, t; ~7 F1 }; |7 c) ^
to initialize-settings
; Y& C1 u0 Y8 _" \6 ` J- z" h" X/ \
]; n3 F9 P S% ?% @3 [: jset global-reputation-list []
7 ?7 a4 X, Y5 C# @6 q+ K! `& o A
( T0 _. ~6 [* L$ nset credibility-list n-values people [0.5]! ^+ A2 T! {0 K; s" v) l2 U5 H
f: l7 Z6 O/ }! e
set honest-service 0
4 @" ^; L: p4 H! w: o: V- ~
J( v9 D/ K3 [$ \" `. tset unhonest-service 0
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8 y& ` \* u2 V' N; Sset oscillation 0
: {7 U' W2 H: k4 s# f' k2 j3 m# M4 O- ]7 m3 H
set rand-dynamic 0
3 `9 i2 ^, [ b/ v+ Q) S' Wend% M# [ z5 Q/ N) F
( C1 u/ X) B( k* V! l/ E- d. eto setup-turtles
8 @. D/ j* ~) B' Mset shape "person"5 S0 O, M Y3 N% M* s; _1 a
setxy random-xcor random-ycor
) r/ Q3 U N7 b( z2 Iset trade-record-one []
$ W3 x( O N0 j0 q D# B7 z, f6 H3 L) p: Q! T3 t
set trade-record-all n-values people [(list (? + 1) 0 0)] . ]2 Y7 A" J5 w& W5 y# R4 y
+ W" ^+ K2 {0 Nset trade-record-current []
) w8 j; V5 L. c/ m5 Yset credibility-receive []
' _! U" G# q5 n0 v; \. Vset local-reputation 0.5
) i( o; P1 w# _% A& q0 [set neighbor-total 04 l9 z8 P1 F( p+ s
set trade-times-total 02 @8 A( r; w# K
set trade-money-total 00 d# w* A3 B0 A5 Q1 o, o
set customer nobody
! [0 U# Y4 ~# sset credibility-all n-values people [creat-credibility]
+ V: A. n0 \" {# j( M# A5 Gset credibility n-values people [-1]; ?# @! _! k0 U* C U$ n$ ?+ K3 e
get-color
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end* f3 f8 g& P* n! j# Y3 q( ]9 b
8 z1 h+ [% _" _( l; V" Y* Q3 T
to-report creat-credibility5 a; f5 J7 C7 Q* F7 w; V
report n-values people [0.5], ~$ E2 P ]3 W' j* Z: [+ X0 S% t! m
end
% b) p8 ?5 ^# B2 `: p
2 @; K9 B3 ] t4 W d9 y' s* gto setup-plots( Z% i% C: l T7 a+ t& n
0 D" H8 M' N! C, c; _set xmax 30. O$ x/ X5 v9 ^# [
" P/ I" [! Y! t& iset ymax 1.0
9 C4 S1 h7 A2 d. s1 D3 e
1 Q' l3 I, M" @$ k9 o, @clear-all-plots
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$ `5 N/ ~+ \# _setup-plot1
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setup-plot2
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2 a. m4 Z, x0 e) u( a/ rsetup-plot3$ B' v) A7 L- Z8 V" b a, J
end! C4 E1 \3 X. l% G. a0 a- n( F- O/ B
! D! m% f) ~; w! k( \;;run time procedures: _8 Q: W' }2 r" i* S/ z* f
( P! f% ^: ~1 U+ o2 P; v. nto go0 S. a' J$ D4 b9 N, C: I
# s% J2 D1 ]# x) ~0 |5 m0 n+ D
ask turtles [do-business]
( ?2 S- ^% Y4 [8 h4 } H! z wend4 m, E. [- b4 Y7 n0 ~+ M
0 ?: Y9 z" t( x( a A: g5 T) nto do-business
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+ U% Q! n; O4 u5 H
rt random 3606 P6 P7 A; n$ m, Q2 {; Z) Y. h
/ M0 c, f/ R9 M/ P, T! j# E4 m
fd 1
( Z p2 d4 x- I3 N) ^% ^; W2 R( W5 j1 q
ifelse(other turtles-here != nobody)[ _& h! H7 f1 c: H8 u
) Z( e0 u# L! l+ H1 N/ M3 [set customer one-of other turtles-here
) ]; g. W, e) z6 b
% ~+ I* S/ X. i0 X \5 @;; set [customer] of customer myself
3 {2 k% `! T* R( ]& C) R$ K# p5 {: f
set [trade-record-one] of self item (([who] of customer) - 1): W; `" o* P$ M8 S
[trade-record-all]of self& |6 ^, t4 f; d5 C- G
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
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' C7 i: M6 N! }8 K: O2 h3 E0 Zset [trade-record-one] of customer item (([who] of self) - 1)
( ^ `: [# q+ b; s1 u, F[trade-record-all]of customer
* E( g6 G2 O# [- i! M( C+ q
$ T4 M1 G* D K3 z2 ]. }set [trade-record-one-len] of self length [trade-record-one] of self N% Z/ \8 G! ?3 K: q) ?5 X4 ~
0 q' j# r8 V, y/ J
set trade-record-current( list (timer) (random money-upper-limit)) S" x, H n. g+ K2 Y5 C) I( [) l
6 \, R' C( }: g5 O! n" Q$ f; N: w
ask self [do-trust]
% J: H) }6 D- ~$ ^8 o4 h;;先求i对j的信任度! ^3 y4 l( G2 y' c6 w) q' w
% D' q1 @# I" vif ([trust-ok] of self)& m6 X V, }& P1 @
;;根据i对j的信任度来决定是否与j进行交易[. M6 Y2 x/ ^4 @
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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[
2 E& y+ }6 R+ \5 f; P: K& H1 j3 s
: r' \' s9 v; v7 X3 J' _2 k1 Udo-trade8 z) F9 N3 d1 e+ B# Q
: v& h2 [: c& w% l, b2 M& I
update-credibility-ijl
% A0 i, [/ a. d( Z, t& S
2 H3 ]$ ]' g+ P. P) H5 K9 Z, Y# fupdate-credibility-list
% h: x5 ]/ L6 E, F! W1 Y6 o8 r" r( n* r$ Q
5 e' s( N% e0 n5 S+ r Pupdate-global-reputation-list" D- X3 D: z* D
4 d% ^1 a6 y) Q+ K
poll-class
% Q# ?0 I/ \; \, K' B6 W' s* r9 l
get-color
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]] {( M v' n7 p6 ^% T' [8 O
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;;如果所得的信任度满足条件,则进行交易* d+ Z7 Y3 ^5 N- D- H
1 w4 Y& p* [) U2 q+ E[
# u* E7 k8 J1 O
2 K& Q) [& {' Hrt random 360$ |5 b; H- p/ R6 o; [! o
5 J' X' { m) @
fd 1
# z* r9 B. J* X9 v- G6 _8 N
8 j2 w5 A+ ~/ u: Y]1 u9 Z2 J, Q; L! d
0 Z/ b; D, F% ^; m* |8 q+ vend
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to do-trust
$ L' h8 W6 s& Y2 B fset trust-ok False
$ S3 e l+ \: U* U- |* Z3 |2 A/ s& [+ `
4 s4 G! D7 g' y( c* G9 i( Llet max-trade-times 0
( g; A0 F1 t, V, R( F! A U' v, [foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
8 |& L" i, M' n1 _6 |- ^( Plet max-trade-money 0
# Z. T+ r% B. f2 d) L! _; Yforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]# `5 }+ ]0 b2 [
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
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, v, \' I1 {7 ?: Q. a5 e/ Y, v! k
get-global-proportion, D4 [% O) E- F
let trust-value1 d% Z J* T* M$ 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)
# u( o0 M! [: x* u6 Oif(trust-value > trade-trust-value)
% E9 j' \, B" v1 Y) ~[set trust-ok true]: P2 {! u; z7 w$ W
end4 F5 {3 M0 R1 h* s- D0 p
% |( H6 @) O! I; |) N" H3 M' ^' w( y
to get-global-proportion
6 M7 v4 P$ n& P3 w. o" r) x+ h9 Eifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
* P1 i& \! H3 F/ L[set global-proportion 0]( I* U7 M& e9 o4 e* o# V
[let i 0/ R! U |& q, j: V! X8 p. \1 E; ?2 M
let sum-money 0- D3 D$ M0 l" B6 ^* P& q7 i$ f
while[ i < people]
9 h5 {+ U- F, a V8 Q" v[. o. q& B. j/ ` ?
if( length (item i
+ `* Z) x7 K* E9 X7 k[trade-record-all] of customer) > 3 )) G, p5 g9 G, z& U& U# }7 X
[) o3 l/ Z5 M4 ~0 S9 f/ {5 O3 F X
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))- f) Q& s' x4 o" H# c6 ]) q
]
( w B$ G8 R! Y: U! ~0 t]
% i- `5 l8 N' b1 D8 Qlet j 0
8 O. n2 d( C5 n% ^* z; W; S$ Plet note 07 [9 b6 a# F; f
while[ j < people]
, [' Y7 m( s6 z, D) {9 _. o[
8 q. ]' X3 t7 E. r! M) tif( length (item i+ O; c8 X# m4 \& p! C) f; d
[trade-record-all] of customer) > 3 )
; b; ^9 e$ l: g[
v4 E5 Y, O' [! l- z8 t, Z, Fifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)- M; Y9 z# Q. S" O6 E/ t$ N) e4 F) e
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]2 _, i8 X7 c. `$ o
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]% A Y8 O3 E# s& Y. @0 V0 w
] P0 ?2 d6 O: I0 ?, A m/ @2 a
]2 P5 ~0 _/ P9 v% g
set global-proportion note6 c, L* v: ~3 U' Q
]
4 L( P" i9 G5 J, q0 R8 }/ Rend( N b" H, X7 \% ^) c8 T
7 H9 O4 J7 _, @8 `to do-trade
3 m) ^7 c9 O5 p, o;;这个过程实际上是给双方作出评价的过程 I( C1 N# A* V- {% B$ o
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
# Y7 G/ E3 t8 M' Vset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
/ h* J' y: O1 v4 E% K1 Qset trade-record-current lput(timer) trade-record-current3 u" {% J2 c3 b
;;评价时间* f: j7 J' u) k7 ^
ask myself [
6 ]2 k1 l# O% Q1 bupdate-local-reputation7 S( P1 V9 s' T$ a I
set trade-record-current lput([local-reputation] of myself) trade-record-current
8 o8 G2 K, A$ a }$ e! t]
+ @! q0 Z$ m8 j! A; Q3 ~% P9 Fset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself V g5 @+ P0 n" [. j6 d
;;将此次交易的记录加入到trade-record-one中& W5 s( t5 l0 A: s/ b# M
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
( e. C" i$ n+ z- nlet note (item 2 trade-record-current )
) l6 E3 a1 ]. V9 }8 J( Eset trade-record-current9 M0 M: m7 }/ t) f- C; v" G
(replace-item 2 trade-record-current (item 3 trade-record-current))2 V, O9 I0 {: @$ G; X/ k
set trade-record-current
0 U4 N' k1 _) I$ d- ~$ t: T* l(replace-item 3 trade-record-current note)
: r1 f3 d* H D! z+ [% c
S1 t, F$ s, p6 r* r; L- D# `! V% U/ v& z. @" M. w( C& F" J
ask customer [
! G- X7 g: g( f5 n% k+ D& `, Aupdate-local-reputation
( s6 X& h# q- F8 l7 cset trade-record-current' m$ Y- R1 S$ Q
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
% m9 y* T# E" Q]% C7 I$ }% [( F+ V9 A3 Y- U. O
9 a5 V5 P8 M" C, z- `, m/ d$ s, [2 h0 i# A& C( r
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
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( W$ H' F$ N4 A, o1 r! v+ k) Rset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))0 d2 A- t: z) }# z" ^3 U4 M
;;将此次交易的记录加入到customer的trade-record-all中4 L2 S- c) S; }" Z5 ~3 X
end
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to update-local-reputation
% o( o3 t8 h* c3 q6 Hset [trade-record-one-len] of myself length [trade-record-one] of myself4 ~: Y1 y# b5 n4 C4 r9 }
' r; H, `1 D/ K& H2 Y
. n' q, @) K( ^3 k, C;;if [trade-record-one-len] of myself > 3 % ^5 J" ]9 J5 ]8 t D
update-neighbor-total: m2 K+ q6 z7 H: z& E- `
;;更新邻居节点的数目,在此进行- O. K: h' E& w+ n
let i 3
- `% ^5 ^1 `: rlet sum-time 0
4 j! I9 u3 s: ~% X3 O) A: O' bwhile[i < [trade-record-one-len] of myself]
Z" D+ t% m' S& w2 u( @[
7 v2 ^ O7 O" A4 v; ~% eset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )0 O. A+ {7 f! F4 G
set i" P% F+ O& F: G' F
( i + 1)
9 j% L$ E# [& M9 h% ` l]
Z+ L) F) |* Q+ K# alet j 3+ }% C% ?: H7 \0 C
let sum-money 0
3 d2 e2 h; r% D, P" m2 [% }' E+ cwhile[j < [trade-record-one-len] of myself]
) {6 z" w; i; {3 G$ Y[
; ]% ~7 z7 t- w6 {- d, ?6 \set sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time): \7 [+ Q( ?- p
set j
' y# m7 d3 S1 d1 `( j + 1)- e- O" K* R5 F' P4 r8 S' x* `
]/ p5 |1 s; Q$ X, b& `
let k 3' Y, W$ |( a5 p5 |1 n2 Y/ m
let power 0
0 E; c+ [) }& C+ p. k$ J: W2 vlet local 0" B% i' o* I$ p, |$ P1 r
while [k <[trade-record-one-len] of myself], Y' ], V" p* b1 z4 b7 b \% y
[
% o+ y9 G3 L4 ~$ B# Q4 }# E6 Uset 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) & J" S# T% a' K# j
set k (k + 1)
: s7 s( \1 j( ?% x]& ~- y* W# K, h
set [local-reputation] of myself (local)$ T3 y# U# e7 x. ?; s! w
end
9 o" _- [1 L% c A; V2 J6 B7 I, }: Z& E1 b8 U
to update-neighbor-total
5 k. \0 ~) x+ E9 y' k/ X1 X" o1 b# T- Z9 w7 U! k. O! l+ H
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
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: l( n* z; c$ t, y8 J+ Kend) ^) R5 J) X" \/ T; G7 W
2 w! t2 V% v; P2 _8 m$ A, l ^/ ?1 ?
to update-credibility-ijl
- j; q2 [$ n2 c Q& ^5 V9 c v: T( E$ V- i
;;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。
' c: a$ G5 \% ]" `0 D/ h) Tlet l 0# V I5 m" R7 j7 q' F' M
while[ l < people ]6 o/ n: i$ _ 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! N8 C6 d% R) C6 z& L8 U
[) p9 P) M1 I2 S( J7 X. g. [
let trade-record-one-j-l-len length item l ([trade-record-all] of customer); G% Q# c( Y& a7 V6 w* k8 Q
if (trade-record-one-j-l-len > 3)
7 D1 u6 d2 I- }0 F[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) Q0 y! ~- n, k7 \1 B5 n$ d
let i 35 O; x2 a$ p" E" |% ?
let sum-time 0
$ ]& _; E. [, }: I8 N. Z8 swhile[i < trade-record-one-len]
& \, Q; ]- Q. b/ T[
* `: A5 v7 p4 @9 gset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )1 _4 c3 n3 b( D9 L, C& i2 H
set i' {4 p' e8 V, a) R, Z+ y! D7 R; W
( i + 1)# g* |# t; q; C5 m8 k- T
]# M6 h) v: F6 h+ z$ x4 B) h
let credibility-i-j-l 05 t/ c% b/ `4 t& y/ N T
;;i评价(j对jl的评价)) W; {- }% M4 N/ G8 ]
let j 32 u* s! ^% n/ b3 m, c0 m3 H
let k 4
5 E3 n/ b, u& k1 F5 o: }while[j < trade-record-one-len]
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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
$ U4 e& u2 G! Bset 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)% M8 M3 b( A7 Q) h! ]
set j
" r' q: I$ k0 K" \* R5 z2 }( j + 1)9 `& x/ y i7 y
]( j% J" q6 {# i' 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 ))4 K) k `, ? `; D6 F
+ k J9 {) c7 _; h1 o. r& T3 f) n# Q
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
5 L6 o# a! M. t" C) ~;;及时更新i对l的评价质量的评价! v& ?) T3 W# D- l
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]: G% x) n; o4 `0 v
set l (l + 1)+ K- h: B9 T- i
]
; o7 N+ f( b B* x" G7 d% s& zend
+ B+ _4 L1 M: _7 B- i0 D* j% Q' c# b& w. C
to update-credibility-list5 [; P- A5 D6 |: q3 N# U
let i 0! H: D. [# [0 ^' [1 A' A
while[i < people]
; b5 ~3 h; g1 W1 ][! b) L0 ~2 d- B* @" q$ X6 c8 B
let j 0. W% R/ T) J; S/ N! M7 s, u
let note 0
0 x; X4 C9 l5 z+ {let k 0
9 u' R0 R: f) Y$ b;;计作出过评价的邻居节点的数目
R% {6 e4 E, E5 y' twhile[j < people]
8 l) f- P+ X* N- m( _[3 t5 b$ E& X G# [% C* ?
if (item j( [credibility] of turtle (i + 1)) != -1). c+ W4 @0 M9 g% a& b5 z# Y
;;判断是否给本turtle的评价质量做出过评价的节点8 B. P3 Y& j ?- r& e4 R: q
[set note (note + item j ([credibility]of turtle (i + 1)))
5 W( k2 d. n) }) Q8 P" N;;*(exp (-(people - 2)))/(people - 2))]0 ]/ L) c$ \2 e8 U( ]0 J4 p4 O
set k (k + 1)
1 T1 {2 t0 G" W8 o) o& N& d]
/ W& K5 P n y, _set j (j + 1)4 C, z2 a, A O* V V
]. u, [0 k* G: A
set note (note *(exp (- (1 / k)))/ k)
; c9 C2 s, B! c1 Vset credibility-list (replace-item i credibility-list note)2 Y7 u# H" m0 d
set i (i + 1)
) p* f3 [4 j6 e& o) E! o$ t1 K! w]
% k: H: {* Q9 {end
( m3 A" u9 J% C0 M4 N) p( i, K8 W
to update-global-reputation-list5 y# K. X: }7 _3 @9 V8 {
let j 0
1 h2 m3 k! P& l% lwhile[j < people]
/ r. W1 b7 |8 |; H! |- c4 X[
$ [/ V. j# b; \let new 0
, ?; J* e! u! {. R E8 k) u;;暂存新的一个全局声誉7 d+ A7 F9 d- Q$ E5 b m
let i 03 \6 N x" p( _( [9 }; W' G+ s
let sum-money 0
: |- s4 O0 x; p! l9 _let credibility-money 0
" _) H! ~+ w/ mwhile [i < people]
! i1 W2 Q, p) t3 L! T2 w[- P% X1 G7 g' D: S0 W5 Y
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
$ [, g! M N, r( ?1 A0 _4 r3 fset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
3 i8 ?# f; X: Y2 Q: R/ t( C2 m; zset i (i + 1). O: n, _ u# ?6 K4 T' Q5 [
]
3 I7 ?5 Q1 Y# b$ ?4 ]( b. Ilet k 00 s3 Z5 x3 C$ S1 x
let new1 0
( P5 l0 J3 @2 b; Qwhile [k < people]4 y) J& s0 r; j1 l
[% f. o% y, k V5 }5 P4 \9 G1 ~) o& S, ?
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)0 n$ y& @0 p6 h {+ @' G' \
set k (k + 1)* N% Y+ M: @% Y: T+ @: y4 ^! P$ w: P
]
4 y8 C( k+ {2 g* T2 Y4 w: hset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
# q+ v/ D% ^# L2 x( Uset global-reputation-list (replace-item j global-reputation-list new)' T% o' v v3 S& [. N4 ]
set j (j + 1)- S$ ?3 }: t# N% V
]
0 A) e' x+ b* C& @7 U j2 ?end
( r9 L3 \4 ? F7 f; H9 k; |" l
" e' m! ?$ r& L, o) [0 T0 Z6 ?' X1 z# V
, T$ L$ O4 C- Y# i9 _8 d
to get-color1 J a+ [' w; d) W* ?
6 f) C7 |" C8 U& fset color blue
5 w% m7 M2 \5 F9 w! r X( q" lend
/ W: c4 A' [- `' H
, O2 S e5 t4 ^) T9 \, \/ L+ Y; Jto poll-class
1 { h, U/ q. |7 W' L/ t6 @end$ d& q2 i! Z2 M4 B
+ q1 b2 W7 Y& F3 X' N9 mto setup-plot1
0 F6 E1 L! I( K
- A4 Y* ], \) i# H2 T5 h, |+ tset-current-plot "Trends-of-Local-reputation"
& _2 Y# k% N2 a! I
( \, K' ^2 s: w0 l8 r1 r0 bset-plot-x-range 0 xmax! Y6 `3 x" R. [% m. m
1 R) R0 `7 q7 @* [! z$ Gset-plot-y-range 0.0 ymax( Y+ Q4 E( l; J
end
$ V- [2 F* Q& ^$ z) X! W' }8 Y
: X7 B$ a. d4 I0 p& eto setup-plot2
0 f1 ?; C' c/ r( v' h9 m
& w3 E; |3 E: `3 Q8 Q! qset-current-plot "Trends-of-global-reputation"
& e ~! _( R7 x. U3 E! j- T
5 i6 v2 \+ T; u1 r' S) {/ D1 Jset-plot-x-range 0 xmax
1 Y5 Z, r3 Y4 ^6 k: S, t" A: G5 Z7 |+ r( s6 [/ v9 ^1 _5 S
set-plot-y-range 0.0 ymax
/ q' L: k/ c7 Gend
2 U2 I( D# o) S* i8 g5 Y5 Y" t$ |
( L0 S5 ]4 h- d4 G! ]! cto setup-plot3
; I. ~3 c c+ e; T
; n0 G$ u: ]: v) W" a5 bset-current-plot "Trends-of-credibility"* f, Y( a% t. E
) O# P$ j3 I7 r; i) d
set-plot-x-range 0 xmax9 o# D) K; w9 d6 ^# ~
0 u1 x! h; g5 f$ u0 ]' ~set-plot-y-range 0.0 ymax
. |- a& |, V$ B+ ~( Xend. }2 N- _ i; k. H, ~6 { g, e
6 h& o5 I9 |; K$ y' A3 q/ e4 Z" a' Jto do-plots
! F+ b' V5 T/ L) F5 Q; X6 L# \set-current-plot "Trends-of-Local-reputation"% B/ ] A) P# @/ B0 }
set-current-plot-pen "Honest service". o# J n4 |; h+ E' [0 f" Y
end
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" D2 l3 A+ M [) s[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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