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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! z, u; f" u2 h8 j& m. n
globals[& Y7 Y% u) q- A* V
xmax
m4 o0 v. P) g/ ~1 dymax
% l3 C* }5 D d. M' {! I% C0 V; N* Bglobal-reputation-list' X9 R* q2 f. w' G0 W6 ]; J2 V S& @
8 {- k' ]' F* D1 J0 y
;;每一个turtle的全局声誉都存在此LIST中% a' `; K# h: ^4 {
credibility-list) P% ]/ S/ p7 I$ e0 P7 M9 Z! l
;;每一个turtle的评价可信度
; f. E: n/ T* P1 [" c- Whonest-service0 [9 z: a0 t' c3 C8 ^. Z3 F
unhonest-service
- K* D7 o4 ^. y. S( O; Eoscillation
, M$ |! t. R# E3 [3 R" Irand-dynamic
. f5 }. @* }$ ?5 e0 ?" E]+ w* v) ~1 D4 f- C, o9 l
+ n" z K0 C; Bturtles-own[% |1 S6 y/ J+ L$ A: h& v
trade-record-all
" x1 m' d; g7 \2 N! L4 v5 I;;a list of lists,由trade-record-one组成
: D/ `% c3 W3 ~# @trade-record-one
* T5 |( n+ [; w7 n# |9 _+ `% |;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录: [3 G& I" {6 M
$ V' R- V2 _) O M6 t3 T
;;[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]]
. p+ v. c2 L; C* h' \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]' c* F4 F- c, x1 e1 j0 s" t
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' Y/ p* e5 A8 K* C/ D$ b
neighbor-total
7 m* E; P5 l1 f/ |! `;;记录该turtle的邻居节点的数目
/ O8 i6 F. g7 ~+ W. ftrade-time
% P' M: ^# _ m0 x;;当前发生交易的turtle的交易时间
& x7 \8 E4 O9 \5 q& f: ?appraise-give
; H' O+ B/ Y9 h5 C;;当前发生交易时给出的评价
% l% ?9 _3 |% _- c9 rappraise-receive6 c. Q5 T. W/ ^8 G6 U( I" f H9 |9 s/ w* S
;;当前发生交易时收到的评价# A9 p' L# f6 U" d* j5 ~7 u
appraise-time/ i, D, z: s ^) r8 c+ E: v$ E
;;当前发生交易时的评价时间
9 r) Z; ?) w/ y" _6 jlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
+ |4 }2 h" ~- p7 ^9 ^/ Vtrade-times-total
. |1 \+ s6 `8 t. _/ l;;与当前turtle的交易总次数
& m& S; M. ]7 y2 N" ~trade-money-total- j2 [" q/ B! ^( b3 i, X2 N7 I
;;与当前turtle的交易总金额
" Z! s* d2 X0 W6 r @local-reputation3 H( X& J* I% l9 N9 U1 R
global-reputation: m$ B! [3 B f) k) m
credibility
+ q1 l1 V& q8 z% U! s! Z( V;;评价可信度,每次交易后都需要更新9 G, R! Y( S$ |5 W9 j* X
credibility-all
: w7 a+ M& t$ o$ H) _+ j1 B;;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
& p- P8 l! E/ u- @: w5 s3 }
; V7 F2 N2 l% F1 s0 V" c3 L" a;;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
; s7 S0 a9 _4 v5 \% icredibility-one
5 {$ a' R3 g% G! j3 V; B8 T" 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+ C# U5 a5 v& k& D2 U; ^- |
global-proportion# ^' b, N1 g/ W" e+ G. m' K( c
customer$ i5 h2 _& k8 \+ y! W6 W. E8 s
customer-no/ S2 w! A1 c9 t( c0 c7 x
trust-ok
0 _( _( o/ _1 F2 {trade-record-one-len;;trade-record-one的长度
, m! N6 o' J& f* [# u0 M' A]; u; x5 I- I$ F
0 x7 g/ F# Q# w |0 [;;setup procedure s" N7 Y; m* n
7 G0 S- }- }2 g7 y J) _) p; Y
to setup
) C' Y1 H: V- R4 x& Y% o( X! M" ]+ Z
ca
9 C4 m, W8 q$ X) A) i. H
- M% ?) J! s% Rinitialize-settings
& X( T! y/ s: B: v4 v7 t; Y: c. Y/ ]" y
crt people [setup-turtles]
1 h! j# f# S8 `' f6 {* J
8 ` R: b! o8 \% V9 w4 c Hreset-timer! N" O% R: Q, Q P
& D# H; w* Q7 L4 ^* opoll-class( A; K& U& y# r; R+ q1 u
7 _+ w2 |1 I) h% h; F0 O9 x1 Osetup-plots# G8 Y& I- L( G
' N* m$ y4 O {' G7 l/ a9 J: Cdo-plots
6 A- f6 K2 X( a% V, i( O# Y4 {end+ e; S0 _7 E/ N9 W$ z/ p
0 X3 f2 A# R" N; D, l$ {
to initialize-settings% W8 C/ o% U; c. P
7 A2 C0 F) P/ v [& b
set global-reputation-list []. O) t9 G0 l. i5 d/ n7 ]
6 b: d* i2 m9 z
set credibility-list n-values people [0.5]
: p$ W/ Q8 H7 S6 m4 f
, F7 K* T2 L6 i3 zset honest-service 0
0 X8 D+ F% _# j0 g3 E" r
7 l6 k$ P. P. J- a3 sset unhonest-service 0
# M4 y; ?' \5 ^! D& M+ N' q0 Z5 B9 A7 q4 E' {
set oscillation 0
( n% b7 x, {( |4 v( f! a. Y4 T' i8 E4 V( S! `
set rand-dynamic 04 R9 A- F# ]9 p1 y; A
end$ ^/ l' \3 U# v/ m+ M
# V; s" f8 s J7 `! Wto setup-turtles
Z1 ^8 h& {: i* Bset shape "person"; u( s" I! r7 `/ U4 E" \3 K
setxy random-xcor random-ycor
0 L; c1 }3 R7 Q r2 f! Q7 U: fset trade-record-one []
0 k. }7 n$ F2 y0 t4 H, j' H$ X" K6 Q
set trade-record-all n-values people [(list (? + 1) 0 0)] 2 B% I, W% g# h2 O
8 [, X: t3 I3 `0 D9 \9 Q: v
set trade-record-current []
' V( |* M; O: Y+ N8 |; aset credibility-receive []& O7 i' o: T0 _0 ^. O y) W
set local-reputation 0.5
$ p0 Y; ?6 p$ D; vset neighbor-total 0& e( h; b; U) I' D# N8 m- ^6 @
set trade-times-total 0
1 t) Y* E, S( zset trade-money-total 03 S, D* E8 H0 e
set customer nobody, |* s0 M5 I5 F, y
set credibility-all n-values people [creat-credibility], j8 g [0 }" a- a- C! `
set credibility n-values people [-1]
# p4 G2 x: y( l# v1 R: y: Dget-color, N0 K N! c6 _
2 T, U1 @3 |- x- Z. w: A
end
* ^) E9 V& H- ?4 O% A$ q
/ |3 o# g3 U0 M3 H! H3 Jto-report creat-credibility; ]" Y9 _4 W1 {, A$ s N1 w! F
report n-values people [0.5]5 }9 G8 |- T. b2 M! z/ F' C5 j
end
4 \" ^# A7 c" U$ _
# v {# ?( u# h% z. ^to setup-plots
! f+ u: c5 }( J7 r+ d
8 {/ ~8 \" E7 y/ C+ _; b8 Uset xmax 30
' f4 b1 i0 g0 B. W/ b1 z+ R5 m+ i1 h/ P/ H& _" u" P3 Y
set ymax 1.0
% J; P# h. b3 }) J2 X1 P( h t8 U0 S" d
clear-all-plots
( h. M& X/ Q' {. ^3 [7 |3 C3 S( ~2 x! d! Z' y9 K3 C' O
setup-plot1' d+ x) A0 z1 C% m! f0 {* c
, o2 B1 k8 L7 d! k8 M/ e$ Hsetup-plot2
! B- w' L1 u; H1 K" s# p5 m: O* ]0 j/ g6 V
setup-plot36 h9 g1 ^5 r8 [$ [
end! _ Y, { F. `9 y; E
/ I: j; J2 w5 q2 w;;run time procedures C! p$ M7 H+ {) R9 j
( s* ], T( V. O7 Ato go8 V1 s! p' y. _9 G- L
5 g9 x; B9 i; D: u
ask turtles [do-business]5 B5 w. i, H% N& E& q
end
; m8 _7 C! t2 t1 [
% f G: Z: `; T6 f) x; E! fto do-business * l: g1 H- c, k) y6 V- w5 K
" p# R$ [7 r% z* o1 d" t$ H+ o* {. ~* S
rt random 360
/ l( w! i6 r) ? i6 ~8 D9 C) T- `) z. ]4 N) S4 h
fd 1
3 x$ ^: C+ P2 C+ P2 _' a: |1 ]! S' S% J! }( Y4 Z! W! x
ifelse(other turtles-here != nobody)[& N1 }9 P& i! N
9 @9 o- G$ M. u) y/ E. b5 \! O/ N$ wset customer one-of other turtles-here
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;; set [customer] of customer myself
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set [trade-record-one] of self item (([who] of customer) - 1)
5 {. d2 h! o$ E+ D2 v+ z" f[trade-record-all]of self: e4 n1 _/ X$ A" J, `
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self5 c: S, o9 t5 L% j; P
" B, ?7 W1 G! r1 @) \% U+ n. ~
set [trade-record-one] of customer item (([who] of self) - 1)
2 b* K' T8 G' r* m[trade-record-all]of customer7 a7 B; v, z, A3 g
! Q: Q# O4 l3 y6 C$ X4 K/ c
set [trade-record-one-len] of self length [trade-record-one] of self- t6 {/ y0 _2 N% [" B b" F
9 \4 [6 E7 K7 k+ pset trade-record-current( list (timer) (random money-upper-limit))
" c2 ]8 G( T% o" e( H; b, G' [# y) a& v
ask self [do-trust]
$ Y$ @ S% q) k5 g;;先求i对j的信任度+ _( @2 v8 }7 t
) ~) S# d. }. ^% z$ a/ iif ([trust-ok] of self)
& @( E8 ?$ `0 H# g( }: ^# w0 M;;根据i对j的信任度来决定是否与j进行交易[
# L# W/ d4 s" Xask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself( X7 |) b/ l2 d. s( \
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[
3 h" n( Z# R0 r- ?& F. A9 Z/ E* e- V0 g3 q: Y
do-trade" Q: J6 g4 \* ~* O9 G+ {
# L1 g8 h4 p" b) Aupdate-credibility-ijl5 j; R0 t& D1 m0 K; z
% I8 q- v% ~; p: O, J# `/ s0 Fupdate-credibility-list
q( R5 D6 M; U0 @* h0 Z1 N
* o0 M# X7 x' |9 O1 s1 ~2 ] F$ n0 o+ F: n7 n2 u
update-global-reputation-list6 Z$ S: d. p& @+ T
* C2 ^: ?, M& j# Opoll-class
. l" {6 x3 @3 U) n
" g, T4 H+ q, e1 H/ ^" g# R7 uget-color! p& }6 m( f$ u K9 |8 H/ w; q& N9 s
/ m+ s; ~" ?2 J2 j]]; w% d4 c% J' q1 Y
, a8 q0 U1 {' ~( w c
;;如果所得的信任度满足条件,则进行交易" x0 j6 ^' \4 [( {
3 [+ q; Q6 i8 X) Q% O. d1 Z1 M
[
9 ?. e1 G" d6 {- X2 r! T0 _5 n8 w- J3 b# l N0 s# w0 B
rt random 3606 R( a r) h. P5 g7 v
+ ^$ D4 j5 u3 L& P1 Hfd 10 O/ P6 r+ U: U* O) V4 G% |- y* }
) e( q+ ^; m& N, L1 x) Q5 s% r2 k
]) c% z6 |& _3 B5 r& k3 _
0 K* L: }$ k0 F7 N- d& H3 e, b. R/ d9 y
end
6 _* V! C3 s; `4 ]4 o* F' p% G( x7 [! v8 J1 G
to do-trust + t# n* c/ {6 F% @, ^1 O4 N
set trust-ok False
, j" q8 U" a u0 N9 n8 ~/ p, s& \
# F+ V4 \: g8 D1 }: o* ~1 L4 L. W; s1 B1 z* u/ D" V
let max-trade-times 0
( `0 @( X1 l+ s' M( ~; I& p3 A' mforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
/ A& \! P; }3 Q2 I5 C& u/ u- Llet max-trade-money 0 P( n- \2 P% m5 {0 n
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
. K0 B( C _" k" ?% r. E zlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money)). D, ], K# ~/ K# ?" e2 ]4 I+ f
& f; J( _; A$ T6 h7 I- y) ?& W
8 a% |) P" m5 T; o5 q2 u% I6 [get-global-proportion$ P3 T' P+ U% V5 D8 f: r0 M l
let trust-value% O, C' B7 E+ 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)
3 n+ m b: c' o8 Q$ `) Zif(trust-value > trade-trust-value)
% D& V2 Z. V* b( a! u[set trust-ok true]
2 ^4 r3 P4 w% [, T' S/ R$ {: cend
) L: X! {+ N' G) b0 |# k+ G A
$ u# V" a) q5 Y" ]$ X5 Mto get-global-proportion
* o$ B( V; ]8 m! vifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)8 d: R6 C% V1 s+ S7 U7 s
[set global-proportion 0]
' }# v- D2 c: [6 X u7 {[let i 0* K! q( Y& i0 x
let sum-money 07 @! P# j( D! x
while[ i < people]
( b! z& g s; h; a- M& U[0 a! [, C: _; _# I$ L+ p
if( length (item i
1 X( @2 o6 Y8 L2 }5 r/ N+ i2 A[trade-record-all] of customer) > 3 )
a7 y3 r+ ^& I R) w[& H0 }) W5 o/ x0 m7 D: d
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))5 L M6 w- n# u$ W
]3 o3 p4 P% Z, i5 ?( J: v" x
]
6 h' ^9 d! H( y) j( {let j 0
6 f* l7 |2 @* E' l3 o4 Flet note 0
5 X' v; `+ H5 Y6 H" U% ]while[ j < people]7 L# a1 X' i6 F) s5 y: J/ U; h
[1 Y) r/ d# ~# H! n$ A+ B7 b
if( length (item i
8 ~4 X5 n0 D* D# t% T- g& y5 T, b7 s[trade-record-all] of customer) > 3 )
* P* z* E' P/ q# Z[7 }0 }6 ^: e h: q9 c8 R
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)% }, G3 T L7 d
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
8 W) W3 u8 j# T- E3 [# o7 J[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]* C N. }( P) [) |8 Z
]
# i N% |/ K0 J8 p) o0 j' S]/ u# m4 t7 [! h1 Y. b7 R7 j) Y
set global-proportion note
* a0 u6 z6 J9 i6 |3 S6 U]
1 p+ _# x4 y( O9 P; P b) W! kend) }6 ~* v" D {# ?
% H1 K, i8 V; h9 R" t: O2 c) _to do-trade1 { F1 j Y8 I; m3 K( z$ l9 |& v
;;这个过程实际上是给双方作出评价的过程
& \0 B) Q/ ? K7 y# Mset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价* C4 _7 J/ H( ]+ D' C$ w3 n
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
& Z# E9 p6 S, L. z/ Y- vset trade-record-current lput(timer) trade-record-current. u: M& B& N+ G) J
;;评价时间3 J& ]- ^1 J- f# U* m; M
ask myself [8 a! [: `6 Q' s( V
update-local-reputation
" f5 `" ~. [" `* S: m1 r7 { z7 G, Kset trade-record-current lput([local-reputation] of myself) trade-record-current
: K. ?: D4 g% X' t- b]
5 Y, q& H; y6 m2 `% X3 jset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself: o% Z1 o; {' \# } X) I& l
;;将此次交易的记录加入到trade-record-one中
! h1 z! a* n+ s, a7 X# p$ zset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)- z) E6 a" O1 D% ` _, i* z
let note (item 2 trade-record-current )
: }- I9 M5 l9 c/ s+ ]$ X; }. |set trade-record-current' ?2 h; q/ B# {& q
(replace-item 2 trade-record-current (item 3 trade-record-current)) Q' N8 n& o" H0 B/ r- |2 S
set trade-record-current
& E) i% G/ Z. J" B( n(replace-item 3 trade-record-current note)
, r% Y7 ~, o( w* J
7 J7 T- y( ?; L
- h! X6 A& y& y1 y# task customer [
7 P7 j5 |9 X; e* c4 o [% ~5 l& Nupdate-local-reputation
6 m7 M: f x _: h) Gset trade-record-current
& X4 U3 B G% n* L, o(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
( ~' Z$ B) k. D( A/ h& W+ D% D# Y]. A4 [% g- G" r0 |+ |- Y
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; o4 U1 T' ]& @0 N
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer% ?7 i7 ?8 z" G1 J2 K4 x
* e% l3 P# R x* A/ u
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
$ s; _2 G" U7 m9 C+ {5 a, J;;将此次交易的记录加入到customer的trade-record-all中' m, x6 w9 T! X$ f4 Q9 Q" r" b
end
" u6 B) w! b' g( l' P4 A: i) Q/ X, s Y; u7 L" n
to update-local-reputation
3 E! t: W: i4 ]# ~# G# K9 W. C( Qset [trade-record-one-len] of myself length [trade-record-one] of myself
F$ R1 c5 `# l7 V0 x
r6 J4 r) N8 I* b5 T# B
3 T8 e4 w* W! g, y2 l- K;;if [trade-record-one-len] of myself > 3
" P5 z: D, p* ]$ E% b mupdate-neighbor-total
# ` s t8 t% J q' V" X" ^& u;;更新邻居节点的数目,在此进行
* O3 d$ n/ z: _" K. i( ]/ p) b; olet i 3
, b0 f4 J+ n. P9 r. K4 |let sum-time 0; e' J1 z4 U- U1 a. F8 f! K
while[i < [trade-record-one-len] of myself]
# |* C" x' T$ Y% e5 f[
7 K. U B8 K6 ]set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )3 B5 ?# V. t1 Z5 ~3 g7 \, c
set i
" o& k! {" `5 G! J; n8 U( i + 1)0 a3 Q* s c h/ k; L
]
. L) y- I& U+ d+ R i' b) C( plet j 3
! F& I9 I0 u! U( i$ a: {4 K. _+ klet sum-money 09 q8 V4 I" ?9 B. r
while[j < [trade-record-one-len] of myself]
% A* U5 t+ J! d# u! z% f" W& i[
# J+ \( }- L0 o. U. @! jset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
: g" j: P. X! i' |3 D+ x& Xset j+ f* i7 r" i. I
( j + 1)) \% V( C9 U& {
]
- m7 F( D! M; q8 }# Dlet k 38 u+ U# |% C* o: g J6 r
let power 0/ `8 f1 d. T! u! L. i+ N! S% v
let local 0% C3 y6 G+ s% d# Z1 ]! y5 R6 b
while [k <[trade-record-one-len] of myself]
0 d9 F6 \& I. P g2 A* }7 q# ^+ T[+ t! u! t+ w. R# B
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) / h t7 Z! I k7 U" O
set k (k + 1)4 C C* o- c+ [' b, c! Q Q/ d
]
j' n7 \% N0 y8 d6 N/ H8 D% _set [local-reputation] of myself (local)) ^' ~# I* B2 @5 @7 v$ `
end1 F0 `: j% Q( A9 E
: o m( Q; y0 w7 v& M3 z2 \7 y
to update-neighbor-total$ O2 V- F% Y( ]2 }3 I3 m: ~+ i- C) g
* ?& u& d f5 O4 c
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]" R- \7 C# `; v ?
8 l/ R8 ?* g3 X3 ~
' U7 r- F( `# g+ W1 m( R
end
3 @4 N4 Z% Q: o7 q. X6 g. L
. n/ E8 k3 Q: E" C1 qto update-credibility-ijl ( k2 e6 U+ E6 _9 M6 v7 j
! |$ u4 W1 t, c4 z;;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。. f1 @. P( N1 P% E$ P
let l 06 V& @' `! \9 c- O/ ^* ]0 U
while[ l < people ]! ~ S. F3 U- }. l! J1 Z( L
;;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8 T$ I/ O& p* c
[
, g/ {+ Q, B) s$ {% [6 rlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
I# L) t3 Q" L! Lif (trade-record-one-j-l-len > 3)4 Q9 _3 Q& u! X4 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-one2 Q+ @5 {& S; M# K7 [- }
let i 3
( k! L. {+ C& q" _) O/ t: F" Elet sum-time 0: Y5 T2 {5 ]! k \. y" v
while[i < trade-record-one-len]
0 j' W r. X6 ]6 d! u[
% E: ^) ~. P) |3 t6 Vset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )* h1 m; L6 K4 S6 F
set i* F* `) Y) t! n3 J! u6 w
( i + 1)
( s7 _9 X( T# ]1 `# y- Y n]
3 y7 ]0 v, ~- {let credibility-i-j-l 0
1 `$ h- l. I. ?6 a1 M;;i评价(j对jl的评价)
1 \' e& ]# P0 q8 A* V: nlet j 3
h! I1 s& p5 F) T: Ylet k 4
. }2 D/ u" @$ x2 P5 p$ lwhile[j < trade-record-one-len]
- w8 j* r/ z. a, r* H& C8 i[
* x+ E% ]% P5 Q% G& q9 Uwhile [((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: g8 h6 G( I, l! ` E% `5 {
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)* c6 a" Y0 m. y% [) k
set j
9 m2 k7 N; h( w3 s! x; f( j + 1)
* R' W- S2 W; N) ~) k]* X, j1 I- E- v3 R
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 ))0 x/ n3 C" x' R) _- a
5 x; r% R. ?( u. `
/ S8 F0 J) H: l/ A
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))# ]/ u* f* _5 X# A: g7 R
;;及时更新i对l的评价质量的评价" M$ c7 Z# Y* U @, o& h
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]; d; E2 e; { F
set l (l + 1)
/ P* l- P" j) V' ^* A1 Y n]
+ [) Q5 y9 N+ \% wend N3 @; V' p) a3 }8 h3 t8 g4 j
9 @6 p! ]' c4 b) `to update-credibility-list! }# t: g. U, l9 O2 r
let i 0) Z# N" |! {1 j' C O
while[i < people]
0 g; p, h1 @* }0 K0 Q- c6 V[' X, @: J( f5 u: K7 J
let j 0
: o/ t+ Q( C6 e' ?8 }9 alet note 03 n( `* v4 } A
let k 0
3 `1 n: [1 C3 o/ J$ G: N;;计作出过评价的邻居节点的数目
8 D4 ?* w7 D+ O; J/ cwhile[j < people]
$ m( W+ |6 G5 Z8 K: `( g4 z[
% V5 g1 O9 ]4 ^- U+ p4 V. fif (item j( [credibility] of turtle (i + 1)) != -1)
' o, w) w- e. T1 K;;判断是否给本turtle的评价质量做出过评价的节点: ~, n7 \9 M" h& `
[set note (note + item j ([credibility]of turtle (i + 1)))! N3 _$ F" R, @
;;*(exp (-(people - 2)))/(people - 2))]( o, s# ^+ x: w
set k (k + 1)
1 \& S$ S7 e& n4 f- F]
8 M) {' I- @; O, d: Lset j (j + 1)
- s4 {: ]0 P; b, X9 f]
8 A, O, \: i" r2 R/ ?$ ~! [set note (note *(exp (- (1 / k)))/ k)" k& J- y* ^9 O3 L( q$ Z* M9 M& t
set credibility-list (replace-item i credibility-list note)
/ W1 u* e0 I" P; ^9 Zset i (i + 1); B& ]1 v0 i+ n+ v! q2 Y% T
]
5 s5 ]2 D! p8 B" pend
) e& h$ u# s- V
7 R0 r; u6 r6 h6 i# y/ Lto update-global-reputation-list! x' g. i, n* o, K
let j 0
# {9 L; r; f0 [8 {0 Owhile[j < people] _$ g' B4 \$ N- h* I
[
# @9 r& l5 n' t" jlet new 0$ u, G, F2 N6 Y
;;暂存新的一个全局声誉$ ?, G v. d$ h' Y# K' d
let i 0
4 i4 z& H! N' x" @" K7 u* qlet sum-money 0" s+ z8 E0 N% |- a6 l$ q* p
let credibility-money 0
* e5 P+ H* c& o7 r vwhile [i < people]4 |! D( S r4 Z
[
2 Z/ }' U/ F% r& ^/ zset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
5 [7 L1 `! n1 h- g1 `& s& Iset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
% i3 W9 ^# W, d8 p; M8 G, Oset i (i + 1)
) ?0 k9 w% k' M* G) L]* S: d. j$ u, d+ `/ E5 y1 c
let k 07 [/ p; F; V3 p. w/ e/ }3 Q) w
let new1 0% y8 [5 c4 _8 E
while [k < people]+ c: h( m8 y# P9 L' `4 r
[
% t* b% R! w8 \, V0 Hset 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)
; C0 f* o1 K M# U/ @0 D3 pset k (k + 1)
' S( ^6 q; P1 o1 @]
4 K) a" H7 e$ T3 Jset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) , e& z3 r/ W6 r0 l# N E& i
set global-reputation-list (replace-item j global-reputation-list new)
0 h, X+ n# b$ ` C0 o. ] Uset j (j + 1)8 Y( @8 [/ k$ d% E6 w1 [! k. p3 o+ ?
]
; q9 m& t% s- m# b# Send) k, S5 B s/ q& K' F' L T
1 R; |) k6 y0 _6 j: I; h3 ~
x1 ~% ~. J) o3 B& u4 m# W9 n9 O, O4 R
to get-color: i( q( F5 ]+ F$ R/ S O
! N/ C8 _0 l& P( r7 ^set color blue
8 t6 n' S- W) a1 W+ Uend
" ^! _0 E0 o+ B: X( W- `+ w! Z
! c! X. b! v& p2 W) M6 ^" @to poll-class: C. n& Z4 p# O3 W6 Y6 `1 Q% T
end) I+ C1 K6 ~# ?4 ~" H" d4 Q+ [
7 c6 E% V% |2 N* l6 d
to setup-plot1
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set-current-plot "Trends-of-Local-reputation"/ |9 \6 R% h! b: W* d( \2 g
( V/ `- R' W1 t/ \
set-plot-x-range 0 xmax
8 x' A4 g9 S9 t$ ?3 H+ E7 ?6 T% v
set-plot-y-range 0.0 ymax
! l1 |4 \; V4 y6 {' c9 G" q' wend
8 O2 b+ c" W0 A3 h4 k9 s9 j& [: F1 J9 R5 j( k6 _1 p% U" `( Q; d
to setup-plot2
* w4 [! `: R/ c3 i
9 m) S1 A) x r1 x; C4 z8 Gset-current-plot "Trends-of-global-reputation"
' S q$ o( _2 D) \
: ` O9 _2 u8 l8 T" jset-plot-x-range 0 xmax
0 O, H+ p- O% u7 ?
4 }3 W; \& X, @8 `1 k9 Bset-plot-y-range 0.0 ymax" L2 q1 r) P% D
end
2 {) u, p4 s+ V, @# l
$ a9 ~( |% s8 V& Tto setup-plot3
: \$ e* Z% s* R6 |* g- v& d7 e0 U# f' Q: a1 q3 X8 s
set-current-plot "Trends-of-credibility"0 ^6 s- j8 X# a& E* N+ c
1 F' C# L* j7 N, K- l. M2 D
set-plot-x-range 0 xmax) H/ x) z! b7 A- ^9 E: q0 Z; x8 J
, s7 W5 K( e' {* s0 @" j
set-plot-y-range 0.0 ymax
7 M& Z: ]; ?+ K9 U9 m$ ]end: S' i; {+ p# ?
* x/ p" j0 s$ m! x$ E) Yto do-plots# I3 p: I! s* h5 s
set-current-plot "Trends-of-Local-reputation"
& t/ ^ C0 k7 I& Xset-current-plot-pen "Honest service"% W, D" _ |. H' t5 o v
end- H! j x3 S3 F2 k8 v, _* Q
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[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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