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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, n5 C$ p& T: r! J$ y2 _
globals[9 G, A/ C; C6 H v9 A1 y7 g( q
xmax/ @6 S* T$ V% J9 L6 ?% J
ymax
$ [; L% ?8 \# O3 S4 j \8 Pglobal-reputation-list. I; q: W k% K8 B
. U7 R8 r: }) @* `$ T: n;;每一个turtle的全局声誉都存在此LIST中( |4 W; u) V3 q6 Y
credibility-list4 _7 d+ g# x1 Q# o. q
;;每一个turtle的评价可信度1 ?% f$ |' x7 i; B: }! ^8 p3 ]& b
honest-service, \0 @: S( K/ }9 @ T: R
unhonest-service
0 l8 E( L5 b7 R, K Woscillation
) x2 B! Y# X D' Y9 Vrand-dynamic6 w) w7 X# h# C9 ?8 y( t V
]0 W6 W$ ]/ H5 S/ j8 L' R/ t
0 t) N0 V7 R4 ?1 D: C0 T O9 D
turtles-own[% U9 {- |# j! f% p
trade-record-all# P$ C0 e. r9 m2 ~5 e1 R
;;a list of lists,由trade-record-one组成
8 a, s; a, }- F) ~! Ntrade-record-one8 V U" C7 W) R+ G& Q% H; Z
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录5 w/ W, `9 `5 C$ {* K
; a# v9 ^, G# K2 C1 U& |& K2 N' 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]]/ z$ D) K) e2 Z) d+ t' e4 k
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]' Q! e+ U/ }' S7 h- O
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
' r, {- j/ t) ^# hneighbor-total
8 d/ g! x: f- H h" X: B1 C;;记录该turtle的邻居节点的数目
" T8 C3 T# F9 e1 e5 @: Ltrade-time
5 ?) U1 n! \* A+ w;;当前发生交易的turtle的交易时间
- Y# e1 j& c. H* p" [/ Vappraise-give: N' [: O$ }7 S0 l' i' \
;;当前发生交易时给出的评价
, q% H0 r: V" l) J! tappraise-receive- V: O# I/ F. ^0 o& D, t- ~1 z
;;当前发生交易时收到的评价
# B D2 S" z+ Iappraise-time! s2 q5 R6 @' e: _
;;当前发生交易时的评价时间
$ m1 s* |- A& hlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
) |& N# I7 Z& v1 n3 \& m3 Ytrade-times-total
8 W; f2 [/ O/ r;;与当前turtle的交易总次数2 R8 S) U$ C1 ?, v
trade-money-total
% h$ j2 O8 t) p. y/ n;;与当前turtle的交易总金额6 l/ i- P% v `7 ^! O" d0 h/ ^7 {( j
local-reputation
* x# }4 J5 z9 X- u* X8 Z" kglobal-reputation/ r' y! o, K) J; P! d3 T
credibility
" z5 h0 H9 K+ @/ ~2 l. ~& u; Y8 @( d;;评价可信度,每次交易后都需要更新 ]( |2 n1 `9 p, N3 x0 u* l/ ^
credibility-all
5 c6 ]1 {" z* H7 l5 k;;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
2 U7 X& g1 V! i' o' e9 Q- d: Y* w5 F$ `7 l) K u
;;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
+ B8 x: D/ H8 O8 `! [0 Icredibility-one9 D/ g3 \3 E+ E2 s5 _3 q! 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' m& s- I! {" {) o* _( x
global-proportion
& k* a2 P3 M6 l' C! T. T) W" Icustomer
! s6 l0 \4 `2 R. n b1 qcustomer-no$ {5 y* ^2 s# F2 t! `+ ?/ p- \
trust-ok
8 H% _, G+ S! `0 m* N1 Atrade-record-one-len;;trade-record-one的长度1 }/ ^: B! E* {+ V
]
2 i5 K$ ^! k, j: a1 B& P0 x, s
9 Z% U! { v" e4 l- J" `+ Z) l;;setup procedure1 _4 N3 }' A- I8 |7 p! ] f& }+ f
; E" V: X7 Q6 y8 G0 ~to setup( ~# Z1 J$ P0 X% Z( I: v
: R, j4 `6 | G8 ~4 ?9 P7 m4 kca
' }# i& b) E3 k: ]& @5 u% ?. t& Y: O% d6 U4 G {
initialize-settings: i6 e) w' b1 _2 L. b o% i
- _8 T) ~' b* A' m+ J ~ W
crt people [setup-turtles], M9 h& T0 h2 L; R
" M& Z# u( u: w1 i& G" M
reset-timer
2 `" n8 F& F- c3 h+ C
3 { k) Q6 P L6 Cpoll-class6 ^0 ]% |8 n3 m- ]
- O# C2 q; Y x+ U$ T) Q1 e' ^
setup-plots
0 |* A5 G4 j, T6 m" c# D" O( {: i- {' v0 F" y1 A" |2 _7 S
do-plots
; z+ a7 O4 Q0 m0 {1 t& ^! Y* [end
" _! }. B, T0 L `* H) Y4 L
# {* P3 z8 W/ L+ n' a( g4 [to initialize-settings
9 T) J7 f+ b0 }, u0 N/ a
; V6 o* D8 X) D) V$ D, P7 ?2 W: _0 ~set global-reputation-list []! m5 `! C# b N5 ~1 i
3 Y' k' X" m4 F! o, Y5 y
set credibility-list n-values people [0.5]
+ x3 h* x! k `
+ M* j) ?2 m9 \1 ^set honest-service 0$ {! @9 G+ [8 U5 R, z) z
! d9 G( `& B& U. ?7 Bset unhonest-service 0
4 p G( j% `* x/ m) K/ H1 e" y* k4 w( K9 h
set oscillation 0
0 R% I; v( c. ]4 |- {. ]+ K
* ?* `; [% W5 R3 O& o/ Uset rand-dynamic 0
. b. O# Q5 O( b* j" fend7 \1 ~ W& p$ y1 `$ u
5 j: h1 n5 X( s/ ?
to setup-turtles 1 Z, R% k; \1 ~8 C
set shape "person"2 `9 P$ t R v3 A- u, Z
setxy random-xcor random-ycor
- z; P/ b( Q# r5 S Y5 I6 p" p, E: xset trade-record-one []5 A3 o6 Q6 z% R8 L% s/ n
: c: H1 T/ V% x1 Y, [8 M
set trade-record-all n-values people [(list (? + 1) 0 0)]
H$ `* t0 W6 B0 n2 T7 e ~; T8 T! X
set trade-record-current []% ~+ w( g w3 ]; I" S: i
set credibility-receive []
4 }0 Z+ x; R: yset local-reputation 0.5- t+ S! i& j8 I- a; Q
set neighbor-total 0
3 m. K9 n8 U- x/ k3 iset trade-times-total 0% T" v9 P5 D8 J! V4 q" Z' r
set trade-money-total 0( M( A% n) y4 p9 [+ W
set customer nobody
2 f! z5 x( N, s+ W; ~" q _set credibility-all n-values people [creat-credibility]' P) c* ^ S: p" ?6 H% Y- P) Y
set credibility n-values people [-1]
2 I! Q9 P( A7 W9 G- qget-color5 c% G' Y) y# U
+ u2 v* h- p) g$ W5 o( l: P) x: D
end
! J' B' m8 a) q- c( B4 X) u
6 V5 }8 _1 U' Z0 uto-report creat-credibility
# k0 k3 N: { {. L) l' n7 a8 ~report n-values people [0.5]! R" J) |% k' P
end
9 k: `8 @7 e6 _( D+ Y3 T f |% y6 _' B7 L* b3 E. s) w2 v
to setup-plots
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# k% ?; U3 _* m# _+ R- J2 e9 Nset xmax 30, t6 z4 x; {1 |6 o" \
1 m, V% b4 a- X1 K0 Iset ymax 1.09 ?9 e0 x/ v5 F8 N4 H/ e; q9 H
3 q+ Q. Z! D- s; Aclear-all-plots
% W: n* o9 x) m
4 m* T( z4 [3 g: M& ysetup-plot1
; y" {' R. Y8 O! H6 Z$ k8 D) J# w
' t1 @+ \9 Z" T6 s; nsetup-plot2
2 V7 G; @0 r$ a6 ?( F7 P/ F
: i9 g0 i& I3 J+ \7 L$ W; |setup-plot34 v9 P: {* P% r( o1 F* b) n
end3 N7 {4 Q* q* D) ]
1 T* F. r- p' N3 |& q* \& q
;;run time procedures1 c9 f" U6 V( {" ^9 K" D
, r9 k. p, ^& Tto go
1 A3 e, w+ ]9 O! U2 h+ j! j* H" B, C7 E$ @. ?
ask turtles [do-business]
: d2 L5 h$ ]! @5 e2 a! j! yend d% Y1 V: p2 ?% B
( t2 q6 Q7 |. @" |; S/ K
to do-business % S) W: H! W, M5 M
) R. U, j1 m& E
6 W8 q/ j% Z. B% \* nrt random 360$ G8 b8 W7 R6 N" w/ t6 l# B+ a9 P8 g. b
! R$ s( T6 b; `1 ? F
fd 1+ [3 d, ]8 v& R( u# H" F2 h
5 T* H& k& q* b& K5 qifelse(other turtles-here != nobody)[( n# b& c5 d! B& ^0 Y8 V
5 q( N9 |# ?& N5 xset customer one-of other turtles-here+ I$ a. [ G, w; Y5 m" k
( Q. v3 B( q% w) u;; set [customer] of customer myself
" G0 E/ O) D! Y" a7 s, }( r
8 D3 v% x/ H' i3 A% H6 r3 V$ Pset [trade-record-one] of self item (([who] of customer) - 1)9 Z5 V: ]% m0 l) h% c* i3 D, v2 s
[trade-record-all]of self
5 {9 h8 k9 m' I: k; X;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
' L2 V' y0 G/ j! [
+ _* t R' y; @* d2 Z1 Rset [trade-record-one] of customer item (([who] of self) - 1)
; n3 `- @4 q/ U9 K# _: y[trade-record-all]of customer* D: Z! }$ t0 l
6 L( K( |' Y( r) Y* ]
set [trade-record-one-len] of self length [trade-record-one] of self
* n( W: r% q/ D' p) h' x- Q& F2 `1 w9 E. g" m- o6 Q/ m: I* S. }5 q
set trade-record-current( list (timer) (random money-upper-limit))3 H3 g. p& ^- j8 U4 ~" c; b" R/ M
9 L2 j6 h3 h4 d* n' j$ Bask self [do-trust]
& Y0 d( j: Y# k/ L, [/ m1 ];;先求i对j的信任度
* p ~, `3 B" Q( A5 l8 C, w j( K% S, n
if ([trust-ok] of self)
2 e2 W4 _9 l* `+ E2 f. U) p" ];;根据i对j的信任度来决定是否与j进行交易[
. G$ f) i' h4 c$ }ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself0 r9 Q% A) G+ p0 {5 U" N
6 a1 r" K1 g5 h' e[; h+ H0 O: B/ W& {7 T9 b
( U4 M0 n# \% y/ G' B1 j1 ]do-trade
; S, U; O0 b1 Q |
% ~( c- o& n0 v) p S$ d+ oupdate-credibility-ijl* K( c3 P% i a: Y& \( i' L
" N" |! p! D, T6 I7 K
update-credibility-list2 F5 K5 a) L' F3 N, s7 o
8 Q4 F3 m% N6 y# I6 R$ o
) e0 V9 a% U; {$ H. {3 c+ B
update-global-reputation-list
- ^, n* b, r; k/ U( K3 E4 \4 T) o& r( c) Y5 z4 o
poll-class
# w. b4 T$ b3 E- b6 i7 D8 s8 V' T* X9 c' g) t
get-color
2 e9 ]( q6 F7 r* Z
) C; E& Z; ]3 t& Q1 y]]7 Q3 P N$ C2 V+ J$ [# [3 c7 d" b
8 R4 M3 y8 M) k/ h/ S& ^;;如果所得的信任度满足条件,则进行交易
$ g* V# V/ J6 |8 R3 V
' b& _- I$ M# ~[) g- W* s- {, ~( M$ |
. L k; m) E% m$ Q2 g M8 y) V0 a& _rt random 360! \! R- a# i" k$ J$ s' m
2 S! K$ l# T/ A! v/ x' h
fd 1: o- x5 o! e- J
6 m% l0 P9 u- c# F
]
- [# U: Z$ a( m6 g9 o, X9 o) a# U8 V+ H+ T$ R* m. R3 {* `8 A
end
) K3 y; V0 h' [% n
' ?" v) h% ^; cto do-trust
( e$ [+ ^# ^* U# `set trust-ok False9 w3 G5 K$ F( T2 u2 ^# o1 }/ D h
/ h5 A- ]9 v/ Z/ R7 Y& n
6 }- U/ {; p. w4 V1 l: alet max-trade-times 0
8 N3 t A2 a& V1 j J5 O5 Eforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
1 ~! z* d- \0 u, ylet max-trade-money 03 a( E" N7 u% x
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
7 |& x% p. U. F* h- o3 alet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
/ E+ j( Y1 Q* R) X: V8 V% G% n' N2 u8 b' ^; l
' x, d) X% H3 p( r4 \get-global-proportion' l0 ~& j1 T2 r8 D# m0 [
let trust-value
' ?1 ~* E3 |! q7 o/ u7 x6 {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)& V$ {, `( v* _# X4 \" b) G$ ~
if(trust-value > trade-trust-value)1 E5 }: E0 D0 @( x, e
[set trust-ok true]6 x4 p* P1 ?9 z$ b/ s
end
2 ]6 H9 r8 E- }5 ]+ k0 N% l j! ?
to get-global-proportion
5 _( z' u; V: {" t: pifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
0 q6 { |1 N4 f[set global-proportion 0]4 q" g/ g" P5 x' I, b' G) E* z
[let i 0
# I* |" N3 s0 K" `let sum-money 0
- F: L% h' H2 d8 cwhile[ i < people]) H& r1 n, V+ P
[
0 L p8 f- H. T6 |& m* |. jif( length (item i! a, k9 I3 z- k" L0 `7 c
[trade-record-all] of customer) > 3 )
3 S: r( r" m* N, d) y[4 G- d5 y( K( j( |# Y. t2 E! M
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
! U9 i( s0 v/ ^2 m]
: H7 U# O3 }& {, M+ @( J]
/ Y6 x& V/ U. c" _let j 0 m) |* M+ O" k, `2 p' D
let note 0
/ j1 V `7 B8 C1 _1 |) Zwhile[ j < people]6 h$ s, n% i; ]9 O
[) [1 R$ Q, e' V+ d/ k
if( length (item i
: @% M6 A( Y. f# \[trade-record-all] of customer) > 3 )
: C0 J7 v8 ~* {% U[
$ @9 C* T/ G1 N; s A# ^* B# Kifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)1 P2 n) r$ i/ T- @9 ^
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]+ K3 W6 e% P! G2 x* P" w
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
: d% H u- Z! `& `3 U" A; z5 b4 P]
4 X, ?, z3 k, b( E+ n* I]* c9 A+ G5 z( E" F; ?# D
set global-proportion note
$ ?, `3 O! Z# ~$ ~* O' D6 m]
# p# [9 S+ j# C' R* gend& Q' @/ P# I( b4 r
' G0 h2 T( O+ [) B! |, f# n4 {to do-trade
$ R" t$ A1 z& N( `: X( V;;这个过程实际上是给双方作出评价的过程1 F1 F- S& ]0 R+ h
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价7 G. P" M0 h3 ?, O( K$ R D
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
; H# o+ {8 ~8 v1 z( Nset trade-record-current lput(timer) trade-record-current8 y; s2 B' {% z r6 B' h. p
;;评价时间3 w% |& S0 A7 F9 k
ask myself [, \7 i1 z; {" P8 Z
update-local-reputation- h- y, l, w# q0 D/ a+ C$ ~# F
set trade-record-current lput([local-reputation] of myself) trade-record-current+ f1 ~. d! H4 c7 _' S; j( v
]' g, x+ a, h$ a+ \7 V1 ^; [
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
/ j8 g! i9 o% y+ {3 X r& v;;将此次交易的记录加入到trade-record-one中1 l) d6 P" I2 U/ [
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)6 V9 U1 H/ q5 f; `0 f( p) ~* _9 g
let note (item 2 trade-record-current )4 j7 f0 n& b# c2 J, Z0 X- f
set trade-record-current" w. \8 _! s* p1 E4 {
(replace-item 2 trade-record-current (item 3 trade-record-current))
* f7 | D% Y( Z# wset trade-record-current6 | m6 _+ _1 g( X8 F* G0 a
(replace-item 3 trade-record-current note)
% c$ u& v6 n# Y" \; |6 E. }
3 q) c, F7 N0 z8 H" j8 Z* n
+ O* i! {$ k# O( W6 `1 @ask customer [/ z/ T$ R8 a. H: R% }. I
update-local-reputation
/ z& m6 u5 r- H6 Yset trade-record-current; P1 v; C3 [2 V
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) " k8 l* J- e- U7 F" u6 {" h
]% g. l2 h/ |2 [( j8 }
$ i f! c) e5 @3 V6 K0 N) ?
2 k) W% m; a# E/ x2 G
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer9 X0 ~+ S% _' G2 ] s
; ~+ |6 e. D( Q. ]' w
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))& d6 ?' A' A. R/ |0 g
;;将此次交易的记录加入到customer的trade-record-all中
' e. R! M( ^; j) \1 A0 ~, F g( Mend
& r' A5 c( q7 M w6 _- q9 {! j. [' q5 |4 r0 r
to update-local-reputation
/ J' N8 u3 }: bset [trade-record-one-len] of myself length [trade-record-one] of myself( W$ Y$ d5 d& p% n* L6 a) F; {
/ F0 l2 B/ Q6 a ]+ S; e5 c" m) j2 F9 J# G9 R0 k
;;if [trade-record-one-len] of myself > 3
' R6 o' `8 {& V, k5 Xupdate-neighbor-total
4 W: Z. {% [/ O9 o/ ]! z+ {; g;;更新邻居节点的数目,在此进行
: W( ]7 j1 C. E: C6 P) C1 Zlet i 3
# N% U% K8 d" w* [" p6 I. U+ @let sum-time 0$ C/ ]# o7 s) m, Y0 r
while[i < [trade-record-one-len] of myself]$ x1 \4 x0 A( \3 p; |
[
8 s6 C: ] \1 ^) M$ {set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
, a$ k" r/ G) P2 r# xset i
6 M- b+ M- ]# r( i + 1)! K& W2 f$ w3 B/ f* E
]6 o- P; q% @4 R! f4 X4 t5 _
let j 3
" ~* x5 S; \8 {, [let sum-money 0
4 s! a3 i4 U# W9 X: s7 jwhile[j < [trade-record-one-len] of myself]
6 z- u9 Q0 `8 D1 y, c: k[+ [/ {, O( `7 i5 a1 E3 o! J
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)( \" }2 R3 K2 ?0 W* N- u6 x
set j
) G/ H3 N9 g+ _( I; l' o( j + 1)
) Z0 I! e* b& y]
3 L& d" p) N q( ^. elet k 3: R4 m5 Y( n [) }1 K
let power 0/ Q+ w0 ?( x: P1 G! k
let local 0
2 x6 z, W0 k1 mwhile [k <[trade-record-one-len] of myself]
. [9 @, _1 d% Y2 p4 j[
+ W& @! w$ k9 f; O2 f4 @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)
$ Q5 N+ E! H- Jset k (k + 1)( V3 k" _/ B; H, |0 O; b* X
]* H7 D& A6 j9 a0 ~; w3 ]
set [local-reputation] of myself (local)
8 f4 `+ A) s! G! O, m Oend
/ R3 A; C6 a& F7 b8 q3 R/ z3 i9 B6 F1 O6 O" A# j" o0 u/ c- C
to update-neighbor-total# ~- M0 v# w5 R3 x
$ v9 l. R) O$ \; l7 b8 U' Dif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ] _4 l5 B$ b# _# n" ^8 O
, ^# E3 j' d; T% Y) t
, O2 ?* [; g' m; ~# K! {' Y: Tend$ q( j# ]2 J$ i1 l, f, q8 G
1 @: Q) c$ @( w. q# ]# c& r
to update-credibility-ijl & F% Y, _2 D8 F: s: t
/ M* n1 Y* t2 b# M" I A# k5 d
;;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。5 u! x! G. O9 ~
let l 0* x. m; q+ a7 ` F. D
while[ l < people ]
5 M4 C0 `- f f5 i m;;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
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let trade-record-one-j-l-len length item l ([trade-record-all] of customer)' r; }- ] Q6 m' n9 q" U7 J: e
if (trade-record-one-j-l-len > 3)8 C% ]; r1 c; O5 U. I0 G
[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
. L9 n9 n. e2 z+ ]2 P2 |let i 39 `& h* j) l- f- v. C; }1 a
let sum-time 0
; S" p/ e% q2 P R; ^4 \( O2 u {/ Nwhile[i < trade-record-one-len]( Q. i( y5 `3 j
[
6 ^- ^' K( T+ D; P8 xset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )8 t! \# \ D0 V& h7 b
set i3 c6 o4 S% u. |; I$ @ F' u
( i + 1)! p! \) }6 E5 I4 d: s
]
9 b/ {- {) q, l* H% f0 Rlet credibility-i-j-l 05 [ ` X) S/ s G1 D7 t
;;i评价(j对jl的评价)
3 S' p w" _. q D( N& Hlet j 3, E" h3 |$ ]* K
let k 46 n& P, D% u$ G4 `
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
; B* T! O6 |+ R5 {: `. ~2 Jset 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 h. k. E% S9 D" _! i T9 H1 mset j; X9 Y9 s7 a, b
( j + 1)6 H- C, g3 ^* a. g3 L1 O, F
]
; Y" P5 J8 F2 Xset [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 ))" D9 ^8 Y* d+ h* `3 A8 N' R" _0 Y
3 |' k/ Q3 x& g' Q2 K
' h" y3 F' v3 g2 A6 ^; b+ C: Clet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2)), z6 q. U; a) Q$ o4 Z* t
;;及时更新i对l的评价质量的评价
3 k% \& _# {& Fset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]# _+ C8 W/ x* ^
set l (l + 1)
+ P5 q0 f* }* w' \5 Z+ \5 }]
, m1 o. B; H4 @' t+ h2 ]4 g5 Q$ xend. G2 L8 G, Q, S1 D7 K
. y) a0 H5 Q: A% ?/ kto update-credibility-list
) ~5 ^) c" Q. x" l0 S1 o! x glet i 0' X( `/ f- F: f) I6 w
while[i < people]
F7 O" m+ u* ?8 K[7 D! x9 i$ B/ d0 \& u
let j 0
( B" |$ q+ b8 Alet note 0' o. W `6 p' b, H# a( u4 B/ W1 y2 v" A
let k 06 M4 |" w/ K4 {2 t' d
;;计作出过评价的邻居节点的数目
2 c2 ^: s2 ?3 G& kwhile[j < people]' b; M- |5 L# s: F/ r9 m6 ]
[5 T" @+ Z# S E9 C* R, v* \
if (item j( [credibility] of turtle (i + 1)) != -1)
4 X2 @# D) i/ p2 {8 i3 o;;判断是否给本turtle的评价质量做出过评价的节点
5 `3 y+ J* c. V[set note (note + item j ([credibility]of turtle (i + 1)))
( [! h T/ Y' I5 F/ };;*(exp (-(people - 2)))/(people - 2))]; f1 T6 \& L' o6 @7 Y
set k (k + 1)+ C' a5 k1 N4 P. @: @( I/ n
]3 v! B( w' y6 b7 ~3 W/ n
set j (j + 1)
# T Z, O0 ?) m+ ^! x* O]
/ E: h0 \3 C m5 `) z1 zset note (note *(exp (- (1 / k)))/ k)
, M* K; \' U$ Dset credibility-list (replace-item i credibility-list note)
: A6 ]8 c% \. U- P* Tset i (i + 1)
" c0 ]8 y" \9 i8 K0 l5 @]5 j: D) b+ B1 g
end$ t/ a" L( |& f, W9 R! S! O: l1 _
! X+ u4 K: A1 u% o9 I Nto update-global-reputation-list
8 `2 ]5 q, ~6 l" L. ]& @let j 0
5 J$ u. \0 o& T' v0 bwhile[j < people]' Y* e ^4 K$ r! x; z0 k
[8 t2 ^$ H( S+ t2 m U
let new 0
) |8 U0 L4 Z8 z! v; t;;暂存新的一个全局声誉) R% a2 _% f7 A) w# {
let i 0
. l; q. ~, a6 Clet sum-money 0) K+ J: }1 ~: D) N2 A
let credibility-money 08 e' Q# T: P+ n3 q
while [i < people]5 I1 t% x$ N/ M3 v/ f/ D) I! ]
[' y, G2 m: K( P4 F0 V0 ^
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
; P7 ?, h$ O6 ~$ b" K5 ~set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))8 ?# m2 L8 B+ u' X2 r
set i (i + 1)
: h( X: |% q3 o, w]+ Z L- p; b5 V4 @
let k 01 F% c6 j7 X9 a9 f, r
let new1 0
4 Z7 W! }1 n4 q; l8 v. G2 L& `* Ywhile [k < people]/ x% D/ b$ h+ s' N6 G! [
[3 H$ j( ^. d9 H: T. d% X+ j' k) ?" S5 z. E
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)
# l6 r2 j5 t. B3 t1 D2 Sset k (k + 1)
, {7 C7 X" d( J ?' Y0 u]
/ [% l+ L# ]4 M. Pset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) ' i6 {; v0 ~: G u4 K* K, f1 }
set global-reputation-list (replace-item j global-reputation-list new)) H# p6 t# S3 k1 n& d8 I1 i5 o6 K9 v
set j (j + 1)- J! u) y6 C- y/ V4 S
]
% \9 a1 P: [: Z; r6 @4 K& Zend" f6 }5 {( K, @7 e! q
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) M& U/ Y" p# l" M3 n5 h
to get-color
* t2 U+ r8 v1 H( l+ n5 {/ ~& z9 A; Z% }' c* o" D
set color blue
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% s: H$ q H( G L, c! w+ l/ bto poll-class& R$ t* N% z% _8 S
end- i( L! |8 N/ B. t( O/ T
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to setup-plot1( |1 V9 q1 N$ _8 \5 d; B& M- G. x; e
. S, Y/ N0 a" E* Y) I& Q6 v% {set-current-plot "Trends-of-Local-reputation"7 D. a! G* M1 I4 i* P
- k8 Y: a Q1 B) w: Bset-plot-x-range 0 xmax7 Q% \% m3 }5 H9 D' R [6 }7 D( [
* w6 R& n/ z S3 m+ \" Rset-plot-y-range 0.0 ymax5 s7 x* C1 b' T: ]/ ^1 B
end; q$ D0 {1 s d8 N6 ~
# w8 u+ Z) W! m+ l; l- r
to setup-plot2
4 S: D& k+ J+ l; `
8 F" t, h1 O( p9 S Rset-current-plot "Trends-of-global-reputation"
3 f* D7 G/ i1 @+ b9 M
" o: D2 ?$ @. y1 Q; j, jset-plot-x-range 0 xmax
, }5 `9 e" }# P% g. {; a; P
0 x& Y; r) ?5 tset-plot-y-range 0.0 ymax5 T+ O% U6 n) b! X# o4 y
end
9 c$ i+ m; C! P8 c. Y" j
2 t! R' O' ^; H1 c+ G' f) S& Lto setup-plot30 V9 `- ^# Z9 b5 e' q3 e# L
* h- j3 @6 @% W9 Kset-current-plot "Trends-of-credibility"8 D7 a% Q9 r1 k: w- E |6 k- Y
k4 o# F9 j: w0 l! p4 M% gset-plot-x-range 0 xmax
5 [' ~9 |8 h" [4 C' n6 e: B( B; X P" O9 k! Y' o* A# g/ r
set-plot-y-range 0.0 ymax
( u' Y: |5 B& e; W% x4 dend- O! b$ N9 e1 W; J
' G3 [- o, z! m/ @. i& Z4 C0 {8 Cto do-plots
4 u( `( z* N; |. m5 u' _, kset-current-plot "Trends-of-Local-reputation"
* S" ^, U. _9 y) S. d/ Yset-current-plot-pen "Honest service"9 q9 r. c( X8 x' ~, K3 m. f
end
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[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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