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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
+ Q) b: }, v7 }! N( |globals[
$ {3 X1 O2 I. v2 i; Cxmax
+ @6 g9 G7 b; o2 A1 Oymax
2 I" n/ R8 @0 W6 L0 Gglobal-reputation-list* y! P# Y: A9 ?' B6 R0 M! Z
+ B5 x- ^0 c& _9 w
;;每一个turtle的全局声誉都存在此LIST中8 K- t* k* t4 H& Z2 Q' S+ Z
credibility-list1 \% q% `0 B9 J
;;每一个turtle的评价可信度
5 M* m( g; V5 h6 A X& z8 Ghonest-service0 E0 f) T; u* y# W
unhonest-service* a; w6 B7 S( a* J. w) ?2 N& T- o( l
oscillation. \& W$ c5 ?# {4 f1 R9 R M
rand-dynamic
* V$ J1 Q: i/ b, t]+ V. _0 i. u/ c1 d; ]" f# \
& o3 N5 t; X* E2 e
turtles-own[7 Z# y! R7 \/ O. t
trade-record-all' o! f5 H* G5 g: q+ X, c
;;a list of lists,由trade-record-one组成
) s- I: b8 @+ U. ~& Q6 Y5 f% strade-record-one
, J$ j4 I1 ?( @ ^+ I% d;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
0 a9 v) }- F- \! [* V( H/ G {) H0 {
;;[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]]
! N1 o" ?2 C 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]
$ Z. Y( @' u, O( C) Ncredibility-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
' ]7 B4 C1 W* |; h4 gneighbor-total1 O9 U" q! x) j# g' I' k2 ~
;;记录该turtle的邻居节点的数目
- S/ j2 g( l1 B- y% [+ z) {trade-time
& Y6 i/ z) ^# C2 v+ w;;当前发生交易的turtle的交易时间- Z# `2 R' i" P7 T% S- c) _
appraise-give2 I6 J3 ^6 Q2 A& H+ c) L
;;当前发生交易时给出的评价, j- {3 I/ Q5 ]8 [4 o" R3 j
appraise-receive+ Y3 F0 a) p. [& E+ X- \
;;当前发生交易时收到的评价! {9 P3 ]# ~: j
appraise-time
( L, _1 M2 w M7 Q, G! g0 m;;当前发生交易时的评价时间
! h2 B5 F/ v3 p% V6 n$ k+ y+ Tlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
0 u: ~2 ?; O4 B- G2 rtrade-times-total
6 u1 u3 S# i3 a0 V: Z( {;;与当前turtle的交易总次数9 @. K0 u& r2 P2 ?
trade-money-total/ V0 p: n9 s4 Z. [) t. z
;;与当前turtle的交易总金额0 F3 S8 I. q+ W) `1 e$ U: X: s, K9 H
local-reputation: z$ ]! H1 Y; G" Q+ q
global-reputation
" L6 C" f& j a8 M* X fcredibility
; m C/ E4 K6 o x' u; z' ]( M;;评价可信度,每次交易后都需要更新2 E e, x. T3 U
credibility-all# b5 }3 N6 Y/ }. z) k3 `/ T
;;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4 U. e6 I- @. C3 k
2 D4 }7 l1 g" Z1 d: u0 Q;;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
' d" v9 r) ]9 Ocredibility-one
& z5 A! K, [& T W;;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# H6 @( W- k5 U
global-proportion6 q# v5 z, G" R! x4 \' ]
customer: \. b+ W3 d4 b
customer-no
+ b$ _- q2 K, g# i9 ttrust-ok
0 S: p1 ~* X/ p0 H- f( itrade-record-one-len;;trade-record-one的长度
; a) s5 h( G5 R]
) @. ?4 X2 V$ M3 t( V
3 r0 n5 ^3 a! |" i! X* b3 f$ N;;setup procedure# v V2 q( ^0 u0 W: V
) u3 B! U7 J+ I) }$ Dto setup
6 I. E6 E; U" E6 @, I. H2 \6 `# d
ca
7 h# R2 ], _; z1 w
* @! m8 m/ R r0 b9 }- k7 W1 pinitialize-settings
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crt people [setup-turtles]- Z1 ]: K) ^3 E' _1 a4 X
, @8 N( U! b* h7 E- P
reset-timer- {: }7 d, ^( g3 X7 q. u
5 x% \: N- q) D- u2 ?6 ~/ J' zpoll-class( D" S7 n* m- k. m* ^
) l8 ^/ d. I6 h: a
setup-plots2 e3 S* x# \# o4 u: |# e
$ U) g! y! K+ A. \ j
do-plots
$ u" g( _' V0 U0 H' z7 S) cend! J9 Y" \& E) d( K6 y9 a! ]( F6 I
/ S4 j) L6 N3 L5 ~to initialize-settings# ~$ z1 z" t8 \$ m2 @! O9 C+ j; @: M
7 p; {8 k! L* o- W6 @set global-reputation-list []. Z9 R. ~1 R1 o9 {
/ r) a" j3 V8 t+ e* C5 iset credibility-list n-values people [0.5]5 g6 ~' u9 F& M8 @% ]
$ o$ @% \& ~2 Y" X0 o" S0 v: nset honest-service 0
5 ?( s9 n& L, _ Q; C" V
- Z1 }" ~. E" v0 @7 Uset unhonest-service 0& c- z- Y" @7 e8 o
6 `0 E* a. i) v) r
set oscillation 0 \5 [& R3 b8 x- s( g
: s: u4 {, [, h/ _% y
set rand-dynamic 06 f" D7 q$ D8 e: J' }* h4 P
end
" F. X, c# N, M/ ]
3 S" v# a! O1 x1 E% ^to setup-turtles 6 g9 Y0 Y; C* D* e% Y! V
set shape "person"9 V, W/ m, y5 x: f! a# Y
setxy random-xcor random-ycor
3 x+ M1 O3 h, U+ }: ]# \set trade-record-one []
! a) q: r. g' x! j
( \" x$ E* t# P/ h. ?2 ]set trade-record-all n-values people [(list (? + 1) 0 0)]
4 P1 x6 V7 O2 c9 Y+ ?5 _4 l. Z P0 r, z- `
set trade-record-current []
2 t" c1 ]/ v1 W7 Tset credibility-receive []' `$ K4 u3 U- X- i# i( I
set local-reputation 0.5
7 |; F" e5 l8 k5 g. o- K2 ?set neighbor-total 07 Z0 d# l- V' z. m( {/ u
set trade-times-total 0
+ @7 n% c- M% U2 }5 S/ Yset trade-money-total 0
3 f' b9 S5 g8 q' [" H9 vset customer nobody# s* f* ?' L. e, x7 `1 K
set credibility-all n-values people [creat-credibility]. {/ ^1 _4 d3 S3 Y* b, [/ n
set credibility n-values people [-1]* n9 l5 q ~' G5 W- M1 _1 z
get-color
8 r7 [2 V2 `: R2 I" @8 |7 P+ F) ?
- ]% P# P( c9 a7 E9 W3 tend
9 T/ H7 K3 g6 B3 X
# E# h" f- e: O' i& }9 X) {to-report creat-credibility
' M6 B F6 H& ^report n-values people [0.5]# l8 A( m, Y% \& [; {3 l t$ C% I# V( s5 g
end7 E. k, J+ e' Q4 k4 l* i0 N& C
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to setup-plots* E2 {; a. e1 ~
8 }8 s; `9 ?9 y" r2 C0 Lset xmax 30
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set ymax 1.0
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clear-all-plots# V, z7 v+ z/ J6 N9 w9 b
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setup-plot1
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setup-plot2, y: x. F9 I& z6 @4 ]- J- B, s* t
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setup-plot30 Q8 b& o! I8 n O
end
& }" c& L& G2 g% C2 s1 K8 ~' X" W! G1 E
;;run time procedures5 g& t( ~/ p) ~$ r6 c$ c9 j5 P' ^
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to go {8 O$ v, q! n6 W2 e- M( g
& |7 \% N0 T) C6 k: u# g9 g
ask turtles [do-business]% |6 h1 l- D1 Q
end
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to do-business ! S+ }! H; Q3 ?$ V
9 k" w/ s( C0 g; Q, ^
) K- V- Y( f* b4 Z" m1 k
rt random 360
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fd 1
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/ P& l3 V9 V+ o- s! ]* V& Kifelse(other turtles-here != nobody)[/ x" z J7 P9 S/ ], f- W
; f5 `1 I/ f5 f" {9 a: X' @( F
set customer one-of other turtles-here
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. a N& P' K! W8 `* U3 g' I;; set [customer] of customer myself
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]; h! X- V3 M$ f# f+ \$ N4 Tset [trade-record-one] of self item (([who] of customer) - 1)1 ~- R; M2 R' S! ^
[trade-record-all]of self0 H W3 c$ l# R- j% G( u
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self7 f) e9 X- R. q
* `, e F( V8 n7 @, i$ E* {% a1 a; a
set [trade-record-one] of customer item (([who] of self) - 1)
[: P* @. U8 v7 j$ q7 ], ?" N[trade-record-all]of customer( ]' l) s4 M0 D8 X; U# ~' W5 h
. }( C8 k7 \! P2 J7 K
set [trade-record-one-len] of self length [trade-record-one] of self* ]3 z+ x$ r" I
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set trade-record-current( list (timer) (random money-upper-limit))
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ask self [do-trust]
" Y- h0 U+ g3 G- K, Z; z;;先求i对j的信任度
5 [ b9 U: y3 n0 j- J& e; Q4 u e' w8 u: }1 }3 N4 C' X
if ([trust-ok] of self)# [4 L! I" ^# E3 K7 Y% U" J
;;根据i对j的信任度来决定是否与j进行交易[4 H3 q; M& c; d; c: N, \4 o
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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[. Z0 _, ]: c' [* w
Q1 j3 L; J4 H! V) Q+ w
do-trade* | G/ V+ L5 o: |' o* v" b
0 y1 K* C- s% b( z5 ]) t( k' \
update-credibility-ijl
( O5 a" H; F6 ^- M7 F2 H# D) x j- g5 v/ N
update-credibility-list3 C9 G$ B' f' W! H. L) e
9 R. [- j9 T. m p* `; C
4 _( J$ K9 z0 L3 u( P
update-global-reputation-list2 l& S! Z6 o: ?$ f( a: m
5 a6 J" ]4 G4 j: B# l
poll-class
: {' `5 u( w3 p8 g+ H/ y# ^! Q5 K ]% D, C
get-color) L/ |$ b& x4 v* \) C* x1 S! h
8 @3 y8 t+ t% m
]]( G% d4 x* E. \8 Q- }7 p6 n
& ^, P2 C& L3 `;;如果所得的信任度满足条件,则进行交易) }( ~! a. c1 ?8 {. |9 ]
4 @2 t' L; |8 C8 S
[
7 l8 f% i6 h( P9 a
6 G" D1 v. E' ~6 A! w Grt random 360& z0 r' v. R# q. Z1 M
T, f) a+ U; [2 `6 u# @& H/ ^' U
fd 16 e" M- Y$ a; Y' L
( ?4 ]1 F" h* |8 O- f# Z- s! t
]
' V% v% F" D1 R( S0 F+ ]7 q/ ?+ T9 u- u& |: G3 I: L" H
end$ v$ Y7 B3 L: e* V% |
# X* n- l( I# {6 J4 {6 Wto do-trust
" W+ z; h0 u' k1 Lset trust-ok False
3 f5 S" ^( g. ^& I" H2 |
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* d6 s6 N1 ^$ l9 A7 ulet max-trade-times 0
0 u0 Q1 @5 n, @6 T! aforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
) F) R0 \- M7 q* p7 V; [6 D; C8 u7 d* olet max-trade-money 0
! e/ b, b# N' P3 b; ]foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
8 z. Q! E' u3 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))
- {% n1 B. A/ i& p0 Y
a* ?; S) B# ~9 U% j% S0 S* J. h; q0 S+ w; p. W% q5 C
get-global-proportion
* ?; {( [" R1 E* [6 E# rlet trust-value
- u) c2 S1 ~1 H8 {. Alocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)4 _ {" h+ ^4 E$ t
if(trust-value > trade-trust-value)
8 i0 |- E1 ?/ J1 G7 p7 L[set trust-ok true]
8 C4 s: x- J; t* c5 oend7 r+ g/ j$ q* b( n8 h+ L
: z: r0 e" p( rto get-global-proportion
' e! e4 L5 \: D1 J$ H! }# w% ~: Kifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)9 B) N% L J( k' ]. U/ R
[set global-proportion 0]/ z6 Z$ f. r3 |! V: j8 n
[let i 0
% {" J- O" m5 A4 \5 q/ |, i" m% dlet sum-money 07 c- _' x# O* J- ^3 Z8 C1 _
while[ i < people]
( ~; v; Y+ u/ }. A& z) {[# p) ]- y3 Q( {8 ]. ~0 a
if( length (item i
9 \4 F3 i _! q[trade-record-all] of customer) > 3 )6 H% ^ @% @* z: V- i4 M. W
[$ d: m# w' C& u" E! s+ N( N5 x% s
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
3 R1 F* c: M2 c3 c/ ?9 M]4 O* W1 g3 g2 u( v2 @; c- M2 W5 O
]5 ]3 _& S, E5 ~2 S* s
let j 0
7 M+ y+ g" V/ q/ Alet note 0- i& }" L2 [9 L
while[ j < people]: G# e \6 s- t- t$ J& N
[4 n+ k- }' f2 P$ v7 [
if( length (item i& n! A1 `& u1 u
[trade-record-all] of customer) > 3 )
$ n+ A+ y; p9 t2 h7 M1 A/ o) v[! U+ [+ o; R. B2 v$ X+ A
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)* W7 s- V$ q) p' _9 u! I
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
" @) ^& c& N9 `% I[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]7 S/ n) i% b6 o5 I6 N/ ?! x
]7 X2 f2 M) m$ i6 n- C
]! H z2 G! [& [" x1 k5 I
set global-proportion note
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/ t# C h$ f! v$ lend
& O4 ]0 X( ?0 M( r" c6 F; Z) S5 [( A5 Z# _' t* J
to do-trade
& m4 y+ _8 S( |' x$ v. };;这个过程实际上是给双方作出评价的过程: Q/ b1 w% R) I! S, ?
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
, C' Z* x3 q0 e* x9 h* rset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
% @ J: \/ O9 h8 @set trade-record-current lput(timer) trade-record-current
V A7 p1 m9 t- \3 [3 e;;评价时间
7 `6 b5 z5 D# z9 m" r* G; hask myself [
$ ?# V$ r9 i! g, H: T" bupdate-local-reputation$ _9 B" d+ e8 ]3 C+ f b, K+ T
set trade-record-current lput([local-reputation] of myself) trade-record-current
" ~6 O% m- m ~2 n, B d]9 |% s; r7 x9 {
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
% F, U9 S$ m: ~4 w4 s! c: g;;将此次交易的记录加入到trade-record-one中- B! g# Z9 Y: | K& a* I
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)8 l% L7 V' e+ }4 z4 \) G6 e
let note (item 2 trade-record-current )
* x0 J" H5 C& x+ F6 h4 K9 M4 eset trade-record-current
1 N4 X: _% U1 _0 \(replace-item 2 trade-record-current (item 3 trade-record-current))5 W- F3 H9 S; ^# @, k0 r" {
set trade-record-current N6 T6 R# I. b5 ?
(replace-item 3 trade-record-current note) O! T" D, [/ ~( X3 J' |: L5 Y# e7 @
( S9 t; D! b% ]& D8 w3 u# p( Q
* r/ `& H4 Z' s0 m
ask customer [) H0 m. E$ s' n! T2 ` r4 w
update-local-reputation8 y) a! T1 u) ~3 q) [
set trade-record-current1 U# [: D& o; o5 K. C, Z3 P
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) + L! s; j3 Y+ I3 {; g' Q8 z( n3 e
]' c& v* j/ U/ r3 H3 \& m; h
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set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
& o6 g2 `1 w* {, s4 |. A! y p2 @) u6 b' C/ u
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
8 p7 P. V! ^2 i9 a$ t- o;;将此次交易的记录加入到customer的trade-record-all中# q! [3 c8 Q& j+ x5 F
end' I' T2 ~+ T& g, s8 M
4 M. W/ V0 w2 h( ~& T* ]* Z
to update-local-reputation
: e" R4 e3 }8 F) N" Vset [trade-record-one-len] of myself length [trade-record-one] of myself- i0 J' N. i0 O! i) l6 b0 ^
) o7 j9 h8 M! m3 O% P
( W# t! z! p. n$ Q;;if [trade-record-one-len] of myself > 3
0 j( S8 ?) K7 J8 d/ M5 {8 e5 `; _7 ?update-neighbor-total
6 N4 ~9 _7 F7 q. d/ y/ O, t, ~;;更新邻居节点的数目,在此进行1 M3 f. V% Y) t& `
let i 3
# }& v6 s/ K6 w/ s2 i% qlet sum-time 0
{2 q# H; c- d* mwhile[i < [trade-record-one-len] of myself]
8 O. }# X# n( e+ e, g[3 y1 Q# a8 }4 x' a
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )% T5 `# o) n/ f8 _# a, b1 O
set i
3 Z* D- D$ z9 d6 D4 z1 }" ~( i + 1)7 X% h6 J! ~' \) L7 P& t: D2 F, t
]
$ i k6 T- r% ~$ ?let j 31 c$ e4 n! w% a4 @. M
let sum-money 0
" g* q' J( K+ M5 h/ H1 wwhile[j < [trade-record-one-len] of myself]% z k4 D7 W7 }$ l7 X& x x/ m/ E( D# k
[3 Y! n+ N: J$ {+ K
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)
) _9 {: a7 f6 F' h$ `3 k5 ]set j( E: c4 E/ A: F" ~+ _
( j + 1)
/ M: d. Q( |4 X' N* r- Q]
& \1 P2 R# g6 I! vlet k 3
4 A# ^+ d: ? u/ i' e o: ilet power 0' O. a: S$ {; G: l# c
let local 0% i q* ?. T! P+ L8 _* [
while [k <[trade-record-one-len] of myself]
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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)
# R$ B* o( t+ Z2 m' qset k (k + 1)
7 O1 Y M% H2 \. v( p' a5 v' a]; n' T- x+ J1 p( I, n
set [local-reputation] of myself (local)
2 t" D% ?, j; e' L+ H _end( e+ @5 Z3 U% `. }5 A2 k' U
* y1 s; _ h& j. v/ ^
to update-neighbor-total
7 a3 O) G$ O2 I
, g# z! e. X1 z& `; ~if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]* K+ }( s/ J+ o. @ s4 P1 N
- h3 X: D+ K2 M+ d6 b0 b
, C! Y% P: P8 c( A$ eend- R* ~6 W* I; Q1 h3 x* {
8 D; d4 m7 ^0 Z/ p( }7 g1 Xto update-credibility-ijl
5 Z5 l8 a( }" @; ~& S
# E* k1 @) w9 B3 W: _;;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。
" ]9 M; i4 n0 z& d" ^let l 0$ l0 A9 h3 J+ `3 s
while[ l < people ]& E( [8 c9 V2 x; o! q# [( _$ _
;;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
) |; z% Y9 \) Z5 X- K* K0 Z( S& Y[
' ~" k0 a. V, Q$ clet trade-record-one-j-l-len length item l ([trade-record-all] of customer)& u: c/ @4 p! f2 h
if (trade-record-one-j-l-len > 3) [1 V; L/ G. \& m* L9 Y
[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
! w5 W% w8 @% s9 X0 [let i 3
. x' l" B9 | h; d; T) i, dlet sum-time 0
2 _' B" ]: T1 A, Fwhile[i < trade-record-one-len]
* u: _7 [" j6 K1 c5 Q[7 L* J: P) g* \. s9 ~) E
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
8 J4 Y. ] o1 E0 i- l fset i, T% {$ I Y8 H$ p& n5 ^
( i + 1)
; P/ c$ c3 A6 \! O6 ^! t]7 Y% i7 _$ f4 ^& `
let credibility-i-j-l 0* e6 b( d" K7 L* b3 P2 x
;;i评价(j对jl的评价)
7 z+ u F6 V/ E; I7 }+ S/ ? Slet j 3
6 A+ s! `2 j4 Wlet k 4' i9 y# Q, f4 p$ e7 o3 q2 ?
while[j < trade-record-one-len]4 i9 X* p; s% ` ? t/ A: Q/ m
[
4 y+ b c s6 O# \* K8 F# Cwhile [((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
( W$ @+ T% ]- n# L) rset 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)
3 a7 D) N [6 Wset j
4 [) [. @ o r- H( j + 1)
. ]& r% h) g: ?0 x! k]
! p; P7 c K5 F8 L: t$ N4 Z. O6 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 )) @9 j" e% B, v& @
- |* O5 F& N" {5 ^, ^% P
1 L$ @% f2 E6 k9 O' X
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
, A) I) P! M/ N;;及时更新i对l的评价质量的评价
1 d& |2 _# z) t% Z3 }set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
' C1 D+ F1 ^; H$ B' f4 ^- Zset l (l + 1)% l2 B) j$ o9 B2 [, g1 T
]& x' q; O8 J9 Y/ i7 B9 Z* ~
end
4 v& s5 M$ j( J
2 F& H: q# p& u& fto update-credibility-list
, {/ t' p4 a9 t4 ~+ l% elet i 0; E8 h& a) w7 s+ s8 ?
while[i < people]/ Y1 z' V, s/ K7 ?
[
. D% _6 }( y1 M0 |; B; d9 M) e9 a. m" Vlet j 0
1 Q3 A" U# t" L/ H: w q1 Xlet note 09 t- g. \# c9 i5 g) \- p1 T
let k 0
. T+ J# Y" [! j4 o" A9 g* m;;计作出过评价的邻居节点的数目! X5 L) ~+ `9 ~0 h% b W
while[j < people]2 W1 Z8 {- k( U
[
+ q/ ` M1 R/ J4 c# [" eif (item j( [credibility] of turtle (i + 1)) != -1)% j" A1 j, ^& p6 A
;;判断是否给本turtle的评价质量做出过评价的节点$ _: S& z- [+ f/ S' W ?9 n
[set note (note + item j ([credibility]of turtle (i + 1)))% ^5 t t- R% M* F/ H7 u3 E( N
;;*(exp (-(people - 2)))/(people - 2))] }; Z5 m5 ]2 m2 m5 @+ A
set k (k + 1)
5 X0 O4 y' b( Y! {* v]
[* B$ L2 {" W) y7 F; Jset j (j + 1)
. Y% v! M& h0 m) w/ F]: S0 \/ g% r4 ?, p
set note (note *(exp (- (1 / k)))/ k)
/ [5 P2 d" c$ vset credibility-list (replace-item i credibility-list note)% [9 ^9 m9 b4 n. j7 ~5 U* Z* ~
set i (i + 1)6 k1 h' z6 ~/ A# o0 C
]! f2 b3 S W9 w0 K+ }0 t
end- Z% i& t, i# {9 P" q9 w6 ^
# i! @! B$ }5 ?. Qto update-global-reputation-list- P+ V; H9 e; m- A
let j 01 u! X* U3 [$ O, Q! l1 j' o
while[j < people]1 r, `. ^4 g/ R2 U
[( ]. l. ]9 _( Q* c# I
let new 0. n) R9 H( r7 }5 f+ I
;;暂存新的一个全局声誉
! M, T) p4 H L) j& Klet i 0. V3 E1 `# i4 e
let sum-money 09 W6 {6 E8 e0 a& x; i- d5 u6 L" i' i
let credibility-money 0
& g9 @& }* [6 u7 C9 T$ Q8 t" rwhile [i < people]
9 G4 d3 w) n6 w9 k) A% F: f' V! O[
% l- ]: O- a2 j3 T1 `( o. @ W2 Nset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))& t) X2 t( d3 L) v6 Z' A7 d
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
' c: {) h4 K+ L3 Tset i (i + 1)- L. ^( p% {' \9 X B( Q& {
]$ a, X; _+ s, ?4 c# m
let k 0
8 L) W% i5 G, blet new1 0+ g* R" k7 K8 K! R! ~
while [k < people]
/ p& k! e& Y3 V3 m K[$ [5 B$ b7 j. Q0 u7 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)8 F. h2 K; o% y
set k (k + 1)/ e8 H9 f" h6 V2 @ v n
]8 H) r& W4 L3 o2 M* N. x( a
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
8 |% n" e* _" r0 @8 s/ x Z* i( t/ Fset global-reputation-list (replace-item j global-reputation-list new)
' z9 @5 f8 s5 p! J) Lset j (j + 1)3 M& Z9 q5 J4 V
]1 y* c+ c8 f2 t) d+ R2 G) O! t# |
end
" w7 E8 Y9 S$ v( _; J
' D0 q, ?4 P, a6 n) d+ t/ V: R/ E- {& h0 i
+ W; y0 g' |( s! z" m8 G
to get-color
( {9 ]8 c- Z1 \* C7 J
* ~ \, q# |! U5 {set color blue
/ K K7 b$ u" C, W" P: m$ w) `$ lend
2 o& ~" U: B/ e; B- V
9 F; f7 B2 {! l' R+ Z( rto poll-class! w% h1 X' _0 }- \+ c
end* [: ]: Q% @- g, K! z
% z7 O {7 V! L- T) j6 s
to setup-plot18 x: C9 z" Y8 a; U" e0 l6 `
5 O U8 k+ f) _" k# F4 Yset-current-plot "Trends-of-Local-reputation"- z$ I' {! D9 s4 P
; |: m5 H! N! U- aset-plot-x-range 0 xmax
3 `1 w) O8 M1 v( g5 t+ w& w- ?7 g9 m& Y( n9 x4 \
set-plot-y-range 0.0 ymax6 Q( Q6 }* n% c0 _: f
end8 P9 u( |* |" A
8 [2 ~+ P/ |7 B/ Y! g- a2 j5 k; eto setup-plot2* t# S2 M6 u S3 @! l9 X
+ Y' W( s L# s i
set-current-plot "Trends-of-global-reputation": k* m$ D& e# r' Z/ U# P, y9 V
/ p& Q. S+ b/ K( B7 Z# Z; J
set-plot-x-range 0 xmax
$ ^. @: Q- K5 P* k Q m+ F( d1 B: o5 O- }% g
set-plot-y-range 0.0 ymax5 u. ^7 @( p) A6 n+ {" ?! m
end
1 x- ^+ H" s4 F3 f' d& \- D! g$ b' s; C4 x" J6 `
to setup-plot35 A8 W9 L% t9 k$ s
5 x& p( r& h# H5 w: |3 _set-current-plot "Trends-of-credibility"; v% o! E3 A! a2 m Y& F3 R
5 F+ A- h1 R' j8 p$ \% pset-plot-x-range 0 xmax/ O$ T1 u# l2 y+ N/ D
% B9 Y& e4 D% d7 Z
set-plot-y-range 0.0 ymax- c' r! p* M) ]3 U- p) t8 g
end
) Q8 i( N, s; M; Z" y* a x s( s+ [2 J& p1 V3 @8 r
to do-plots
, u; L2 v! ~$ J' b* B. Pset-current-plot "Trends-of-Local-reputation"
7 G3 {% h/ r% s4 Z, r5 `set-current-plot-pen "Honest service") n$ N5 c3 E& e
end
' V0 \5 J1 D2 q. s2 m
7 e+ Z& u) W7 P6 M[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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