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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2 ]+ v$ n3 |5 B+ v+ t! z. z7 B
globals[
5 r; g! S! H# n% Jxmax% V; H$ \2 B6 Z/ b/ @7 g% ~4 \, J
ymax
6 ~" ~1 L" G7 {* s5 c" V& v9 Fglobal-reputation-list
# I- q+ b: q$ |) R/ V2 i/ P
# J @" \# R1 p8 C( Q# {9 c4 g;;每一个turtle的全局声誉都存在此LIST中
8 n8 {* P0 e2 ~9 jcredibility-list
h) N+ E8 I6 E; R;;每一个turtle的评价可信度2 n9 U9 D/ Y$ l! Z5 K0 d
honest-service
* S L( Y. m& l& Z- G1 runhonest-service% }4 K( o* T# X* V. G
oscillation/ G; P+ ^( S: \
rand-dynamic4 O9 \5 T( h9 u( f+ b L
]
$ y; R5 K' u0 p6 `5 `2 b% i- y( K2 Q
turtles-own[
! W% ?# ~5 i w7 S) O* ?( ]trade-record-all
4 s+ E' k: i' E$ };;a list of lists,由trade-record-one组成8 ^. d ?; @% }$ f+ n" K$ O5 t
trade-record-one
+ X: _3 X9 m4 c;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录4 ]- C+ h3 X; J1 q& ]+ M
8 O6 d% K, B/ B6 F;;[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]]
% v2 v$ t T: ]# Mtrade-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" h+ ?5 l% }* N* q
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list3 r) o8 a9 x9 M, N2 e. n% n! C, T
neighbor-total
7 }! S" }" U' ^7 z3 q) ~) H' V;;记录该turtle的邻居节点的数目
) ]: E7 v# V+ ?9 q0 D! M5 @trade-time7 _+ ?$ a5 @4 v. E B7 n( k( a; M, c
;;当前发生交易的turtle的交易时间: A! C, N9 \- i4 r* L- X
appraise-give' r% R# M _0 }5 \6 b. _* S( M
;;当前发生交易时给出的评价) ]% h4 [; V1 m2 n4 U5 R& |" R* `
appraise-receive# s# A. f. a1 n! _$ N3 N
;;当前发生交易时收到的评价
$ L7 F7 p, R; {6 d" zappraise-time3 l: J5 n: j% l( m# x, ^
;;当前发生交易时的评价时间3 P: i7 \5 M- g3 o% J
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
7 r( e1 |. S5 B5 T; Ftrade-times-total
6 K) Z3 w/ c' ]% L4 O;;与当前turtle的交易总次数
1 `- V( I0 s+ j0 D( [trade-money-total
7 D8 a8 ^) e8 O# O. b! F; E N;;与当前turtle的交易总金额6 ~3 x8 _) G* d8 \8 L8 ]+ F0 i
local-reputation* J. f$ x5 F" C, V! \0 T
global-reputation
) j: u( L( t* I% U' Z1 j2 Acredibility
% \. Z' }1 w& P S" A1 I5 l;;评价可信度,每次交易后都需要更新
% u/ D, k. w3 ~+ m/ ?credibility-all% `, h3 ]/ {# H; N
;;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
% _" { p2 I; D9 I# ~2 u, H
- b; B: r9 T/ ~+ o& w;;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 a0 O% T5 o/ T# H# acredibility-one
! y; K. h* r. ?+ W I* y;;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# g7 A8 ^# R- [' a; z% K( @& |7 w
global-proportion9 n0 M5 g6 _8 ^' c* J
customer
* q7 B6 A# c. }customer-no! O/ ~9 X$ S* Y( B8 E; v+ X4 @
trust-ok+ i+ K1 Q5 G' l% _5 k: @
trade-record-one-len;;trade-record-one的长度1 @# \5 @# p# y; a
]& C8 N9 R. X2 A5 I6 T& n
$ h& w! r/ r1 |: G" ~3 l4 r
;;setup procedure1 y9 v" i2 p# Q& e! R
2 n: x/ Q6 c% f0 qto setup% P% g# ^% F) w, F
7 z' M- S; K6 ]ca
% M$ Q* \. X: v0 b' g. x& U
9 ~- q. Y3 F( _: C& u! Vinitialize-settings) R3 L" ~" S& b N2 o2 Z; O% s
) H0 J# R; I/ ?- Scrt people [setup-turtles]* p& a5 s' m+ S. G/ U6 u
' T0 w Z1 `0 \
reset-timer
7 ^ [: D% ]0 ]5 s, R) \4 `8 H
- Q$ X8 l) q/ } ?9 u, @! Ipoll-class
( |7 P& \7 m# m7 ]9 a8 }' w) d& `9 K( A: p: e' _
setup-plots
& l1 C6 R0 }0 N# n( S, t1 d
, @, ?, w4 E2 C5 Y+ Edo-plots
6 P4 P# k" ^* |, v6 oend
5 k' d: R- F3 x5 E6 |: L3 r" |# V
5 B5 Z9 x) n! Mto initialize-settings
1 Q1 B. D( H5 v; i' l. r6 g4 _; q6 D6 a) F/ x/ q# A7 m, s
set global-reputation-list []* c8 ~8 G' K7 }, q4 `9 X* x# g5 |- T
; p) _7 y1 S( A, x8 U# @8 {
set credibility-list n-values people [0.5]
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set honest-service 0" Y3 T( F8 K8 d5 v0 Z/ f7 r
* h' c$ L8 r0 qset unhonest-service 0
& s/ y, |' g, f" Q" p Q
8 n; d" c# g, W# ^( jset oscillation 0
. i' ^" p* a+ V7 l
- @8 G# Z; s) ?$ [1 dset rand-dynamic 0
! s1 t1 S. r" Z6 }& o; d$ u3 rend1 o7 W( V- _, u# b) e9 N
9 Z! f0 s5 t: ]: G" Rto setup-turtles ) P, F8 Q- z- S5 X1 Y9 h2 [' M+ ?
set shape "person"
" R& {/ v0 B2 P9 ~8 |setxy random-xcor random-ycor7 j* w; ]$ }% f( D
set trade-record-one []1 d% R8 R( L. `% y0 D# s* T
) i9 r( k8 @) T" G2 V+ w7 aset trade-record-all n-values people [(list (? + 1) 0 0)] / M/ \8 }) R# U! P% Z5 [. K
5 |. M; o. [- P& n# |5 {
set trade-record-current []
, \, l- @9 S6 ?5 W% {9 Fset credibility-receive []' T/ B/ B) d& e! ^
set local-reputation 0.54 I. a8 `* M: e& x# q
set neighbor-total 0' w/ }6 |3 V* u# X
set trade-times-total 0, |. J4 R4 `' N8 S3 z
set trade-money-total 0
4 i; f% Y" K. X @set customer nobody
, G' w, ?2 p/ Kset credibility-all n-values people [creat-credibility]% T& g C! |& H
set credibility n-values people [-1]- ~* @- u* @0 [# h! I. D2 P! [
get-color
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end
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( D4 f3 C$ B2 g& X. O/ o1 ^# a+ t! Pto-report creat-credibility- H# K. i s$ t$ O
report n-values people [0.5]
4 Y; Q! u1 ]5 P( f9 Kend
2 g; b# e8 e6 i2 [3 V' z
: |" f7 g: \2 t5 P' E7 Jto setup-plots! ? t. T. A' N6 J( {. e3 o
2 z, J9 x& u; {7 s
set xmax 30
3 O0 o) R8 [0 a% N9 ~- P/ ?
+ i1 D: M; V& [: R3 B U& h" Vset ymax 1.0
2 [' J9 ^ T8 ^( V# `3 z; d# N! u/ D W0 ~
clear-all-plots8 d% l8 J) H" x
5 I# c# `# L9 o. v% j* R g
setup-plot13 s+ s2 m) y! L6 I: B& F6 N
3 U1 m# z: e# Y. p# K
setup-plot2
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2 s& R" X1 T" q( wsetup-plot3
/ _. o ]9 }2 Y6 ~' zend
, ^6 O) l% @* [2 h9 h) Q7 H+ ~& }: p' a) U( V) D
;;run time procedures2 X' [, }% U9 N/ c6 M
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to go+ U$ e2 {& M) @0 ]( l
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ask turtles [do-business]
, X) S8 @& |2 p2 V& ]+ r9 P6 Rend
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3 k1 H8 m( V6 K+ ]to do-business 1 p/ V+ n3 ]4 L( C1 A) `
! y( u0 M6 Z$ }+ t4 s' [2 g7 O7 K: |8 Q$ E" P$ S/ u7 }( h7 L
rt random 360( v* Z+ N' f0 O9 J8 ]+ L" F6 X! r; }. H
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ifelse(other turtles-here != nobody)[# H4 {2 O* n8 ]% I# t7 X
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set customer one-of other turtles-here
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;; set [customer] of customer myself
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& b2 _ g2 R& \' D( H! M+ i) q% Bset [trade-record-one] of self item (([who] of customer) - 1)
9 I, [6 G) h2 K7 G) d' @[trade-record-all]of self( I2 ^, E" ^+ ^* u
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
. X' M1 o& }0 E) g" o4 ]) U
% F! \) K5 \5 \" r8 L' }set [trade-record-one] of customer item (([who] of self) - 1)9 [" ]$ S) ^/ N- \5 O/ y
[trade-record-all]of customer
. Z, r4 {& \# u5 ]5 X6 w& Z+ F& U; O
set [trade-record-one-len] of self length [trade-record-one] of self
. ^1 L* A, |% z; o: V. B$ s2 V
: O H9 \. \& K5 r6 L/ Q# Eset trade-record-current( list (timer) (random money-upper-limit))1 r( p, ]6 e+ U! A& r' y
& ]( r& O0 Q, R" u5 Y; Y! Rask self [do-trust]
3 \) A+ h) Q# d& D;;先求i对j的信任度9 ?. Q3 x7 Y+ N: `5 y- ]
3 z7 c2 F& n0 T. Iif ([trust-ok] of self)
, [8 ~/ o: K X% l, G- j( _;;根据i对j的信任度来决定是否与j进行交易[) z; y0 A' C6 m7 w0 x$ e
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
6 v+ z7 W$ Q0 R1 z( l6 C$ C
I0 Q0 E J& K& T7 \2 U) e[0 Q' b0 c! T/ ~8 r$ v
: Q/ F, M! V, a: ~$ _1 {9 i! Y5 Tdo-trade9 ?& g3 x3 X% G6 _, ^
/ u! h, f3 }4 X! } B
update-credibility-ijl
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f+ a7 R7 t4 O$ X, z" q4 Supdate-credibility-list
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update-global-reputation-list
% ~0 v0 ^* j. E- T7 }
1 u. Y5 s" i) H) J" z! l, Xpoll-class
8 j# T$ R8 V: B6 { u) j ?( w7 X5 I
get-color/ B( Y5 ]. P J+ B; p
& j" @& z. o0 _8 k* z
]]7 L2 s4 }; r( m
W) w6 a$ g; G1 V
;;如果所得的信任度满足条件,则进行交易
" z, }$ l* }& ]0 A
: o }+ O5 V1 q0 K' a4 K8 b[
( ~' A8 h6 |; ^1 S3 \% \/ e( p% m: N# _9 B, ~0 s
rt random 360% j; H& K; f8 p) _" Y3 x2 o. b
$ c! h( R4 o7 J
fd 1
1 x+ ^8 S m+ C! b
9 m# g, O. ^% }/ X5 E7 t7 d0 O b9 K]8 c- K4 R! _1 I. V% W' Y
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end6 I' y. V9 |) k, i+ B. J6 y) U9 G
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to do-trust
: T: v, r+ a/ t# D: }set trust-ok False/ q( U" }4 S8 G7 K: o
5 }7 j7 m. Y3 c6 }5 R/ ^. O
8 O W Z( K# y$ olet max-trade-times 0. G8 q( ~5 {" P% n8 a
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
+ x, `# H) ], ~7 }" r7 x! elet max-trade-money 0
. }" u, f" @0 x |foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
; M/ n) r; O. ~* Glet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))6 l, W: e3 K0 C6 L4 }1 G
# S: e( h& M# M3 }
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get-global-proportion
. Y* X$ O! y. f3 flet trust-value
: I- B2 v, S- k, l, Ulocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
/ s! L1 @& A h6 s4 {if(trust-value > trade-trust-value)* r- [, X6 g6 O5 s
[set trust-ok true]3 D9 x1 |. {! `3 m' [! z6 w; W
end
! P& R- X; v, y8 @' G: Q ~
) @8 l/ E4 E) M J9 A+ D O9 Eto get-global-proportion
+ J8 F+ V) I6 a$ y1 S0 jifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)8 k1 V) I' e; S5 P
[set global-proportion 0]0 O `4 o0 I( M
[let i 0
, \! w1 D/ j" }! X. ~let sum-money 0! y O: v6 {- d. t/ F: r
while[ i < people]
3 K4 x# a1 ~0 c# S6 H5 F8 p[2 Q2 P; L$ N& c5 S) `
if( length (item i8 D5 `$ l+ m* t+ e% M
[trade-record-all] of customer) > 3 )
6 x4 `4 r7 C/ n) V[
, @3 _: E0 B- ]2 Kset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
Y3 ]: @9 K% m]0 @( \; f; V) R6 L8 D0 o g
]# j9 z9 q, Q2 M& a; w: {
let j 0
$ n4 W" ^5 c; c( b% l: i0 e2 U: K' Zlet note 0
, R5 w9 L- [, J) Twhile[ j < people]1 `6 v) j9 F0 i. s1 q m9 p7 f
[3 f" B a; D" v, R; t' `+ z
if( length (item i+ s3 {6 P3 G& a$ M
[trade-record-all] of customer) > 3 ): [- u6 K$ h& t/ S* Z
[
; k: P$ e' P8 Lifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)& p5 X' W8 k6 z; E- `
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
7 @! E. P8 h. }- o1 d# ?' U) V[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]% s! U! m- {4 Y! B" {2 h
]
1 a! J2 }0 M9 C/ m1 u]
9 {) x# N' Y8 e/ M9 H% _set global-proportion note
" F9 a8 i k6 v A( n/ p6 \& Y" L]
* Q! T( \1 N# p# x# a4 b/ g2 Eend
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to do-trade! W9 b" p& V g+ {9 J4 w
;;这个过程实际上是给双方作出评价的过程. h* ~( v I0 U5 z' j8 K- ^
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
1 i, n. u- a( d' g' @4 l* `set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
/ g1 a: ]+ V, {: K! yset trade-record-current lput(timer) trade-record-current; m( Y a6 T' a/ N
;;评价时间
$ t: c2 i' `9 ]* xask myself [. `( g8 f a* Q4 H, A
update-local-reputation
! c" `6 S; I$ B. |) D8 }set trade-record-current lput([local-reputation] of myself) trade-record-current* v$ y; T6 q/ F$ A+ Z
]; ?- k5 T; y! x( z6 p4 t; b; b
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
7 @7 h& U; P+ i4 g7 w7 @;;将此次交易的记录加入到trade-record-one中
+ c& f, w( E* N" zset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
/ D. \% G8 J5 [: Z6 Ilet note (item 2 trade-record-current )- g g8 a3 z' Z5 l9 w8 @8 c
set trade-record-current
% g! D! K$ b$ h) N. V7 }(replace-item 2 trade-record-current (item 3 trade-record-current))
+ r2 w4 K9 O2 @& P( ]: {) B; Xset trade-record-current6 ~4 n! }/ i3 t" E4 D
(replace-item 3 trade-record-current note)6 @7 m A7 F, U$ H$ Q
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, F3 L0 j, p. F: D- L# m D5 y$ Eask customer [9 t W* a, [0 W
update-local-reputation4 L: y- V& A% y+ I- }& \5 j( g
set trade-record-current
' p0 |7 a7 o% O; L$ j" _, z(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
5 I: g0 b2 N) A: t: L6 t; Z4 E]+ Y4 D3 _1 `( [7 E5 \0 X6 Z) E* ^
4 d$ d! } e C& D- x# l x A- J- K
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
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set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer)); @- o. }; `. e% [. v2 D* T
;;将此次交易的记录加入到customer的trade-record-all中
+ ?( q. O8 g4 p/ A. mend, c0 r! F# [6 g. v. o
4 N B' S+ n" Yto update-local-reputation+ z7 s* s2 x' w2 z8 A. a
set [trade-record-one-len] of myself length [trade-record-one] of myself3 C/ H/ E& L; N, N; X# X- H
& Q* I( X9 P, ^
7 u2 S: [8 x) k3 b+ X! r2 Y! G7 _& N;;if [trade-record-one-len] of myself > 3
. |& Y4 i6 p% ^$ ?7 mupdate-neighbor-total
2 ]3 q7 A! E8 O3 Z( f;;更新邻居节点的数目,在此进行0 W* T- |+ r) h4 v
let i 3
- u; [3 O, z% slet sum-time 0* L; _, S- H; s
while[i < [trade-record-one-len] of myself]
, X# f/ a( B: M0 Y[5 v* t+ o x Q8 N, {
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )7 x& t- h, w3 ^/ B( W3 b% b: M: h, D# ~
set i: z+ q W# F5 P; F7 i
( i + 1), ]/ j2 }* h& ], M3 g9 M
]5 B: j7 B! v; A- b4 X4 n
let j 3, c( d. L' F0 b9 o* {
let sum-money 0
# f& x. }2 @# x. e) Twhile[j < [trade-record-one-len] of myself]! S/ L u6 F- j; w8 E
[1 N( o- C" ?- Z5 R$ ^) o; e
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)# P4 Z+ m2 e6 O F8 N' M
set j; P4 m |7 _; n/ m$ c7 A5 p
( j + 1)
- {! d" [/ S4 e! X]
5 ~2 U5 q2 _' a/ Flet k 32 l8 g% D5 o, N% b! O
let power 01 a% Q5 D$ C) b# @
let local 0% b: u# h, w6 c6 P2 F* F9 Z
while [k <[trade-record-one-len] of myself]
. d: I/ d8 n, }: ?" o2 t# d[/ L6 i U5 m9 T7 M& D: i! ?) K( n
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)
! F9 s6 g! O" B$ o4 W9 Dset k (k + 1)
" k3 z7 u5 h5 C$ ^/ A0 Z: F]0 u: V# Y' k4 _) E7 t5 G
set [local-reputation] of myself (local)& |8 J* j* ~9 U' L
end# H P0 T6 X2 D: F9 d" ~
) j: M" s; r7 K* r1 {+ nto update-neighbor-total4 t) m! o" D( t+ y, s
D$ W7 i# U- v, r0 O+ M% \if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
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6 m: a: T0 T6 ~) Y
end0 s7 @7 }) @0 u; u$ W; C8 D
4 |1 X$ ?, b# G5 v/ E" ito update-credibility-ijl
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;;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。( Y' Y4 F; y) q& t# {" `4 G9 _
let l 0
' G' g' `* O% u& U! Kwhile[ l < people ]" w( V; ~9 i# J. z
;;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3 C; i! w0 ?0 V8 J: Z" ?
[
- X0 a9 j* H* n8 N) c& M5 Llet trade-record-one-j-l-len length item l ([trade-record-all] of customer)$ Q, D* A; O$ I2 @, x
if (trade-record-one-j-l-len > 3)- Y. B6 a. b& W' M( 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$ }4 n( W8 c$ I$ K7 S2 T! ]
let i 3
m5 T3 _! h" s+ b" X5 d& I: Mlet sum-time 03 H0 r: E8 N4 p. s
while[i < trade-record-one-len]
6 s8 F, G5 w1 c( \[- v" O$ y3 w/ J2 z
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
, M2 ~& {# N/ p: yset i
, n' K# j2 g' u- c W, l( i + 1)$ Q7 s P$ Z: H d- d9 k0 C
] |, l" j( A5 e& f: i m/ V+ Y
let credibility-i-j-l 0
, a$ j1 s# G& q) e;;i评价(j对jl的评价)# n+ Q" {: [1 _3 M) @( d- E2 U
let j 37 r* s H+ H( L8 x' i* a1 F+ h
let k 4! n, P3 e9 D P7 a, M& y) S
while[j < trade-record-one-len]
2 _* u5 G4 m) r( I4 C u[
3 d$ [- P: ?$ x3 fwhile [((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
/ K- ]1 f4 G6 j% _6 Uset 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)# {7 u7 u) B* w5 D: `
set j3 R! `1 G$ i$ U8 q, B* i
( j + 1)
" A* d% a2 l. W6 |& P7 K5 q" y5 L3 A]
7 X( [5 S) \( r+ S O$ [" vset [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 ))- P2 E) |1 B4 ^6 w% [
0 F4 q9 p/ u+ ~5 U% W4 v' V& x) r% N$ W3 A, R! [6 R
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
( O+ g( ~" M* m;;及时更新i对l的评价质量的评价
5 O2 N9 p9 [9 ]- O8 |0 k9 Aset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]3 H0 @: d, `0 Z# Y
set l (l + 1)
: R/ a. f$ G! K3 Z]" a8 A3 c8 j% I+ x8 o- G% Q
end$ J, M8 T: }) b9 j/ G
9 b q( g3 P; @. g: C7 d" }1 x7 m3 U
to update-credibility-list8 Y0 I Y; k; h- ?) {$ m2 T0 ]
let i 0
) F1 Z Y: |9 F- V7 qwhile[i < people]- g1 W% O) }- z9 Q) }" [3 B
[
. f% `, j! g$ Z$ Vlet j 0- p* W/ K5 K# K4 F. P0 R/ g
let note 0
2 v$ ^8 r7 J0 Nlet k 0, y- I6 A9 Z8 e. k' [3 T- G H
;;计作出过评价的邻居节点的数目
' g, f- @" [" [8 `! _/ J5 f2 Fwhile[j < people]: e- s& _' s s0 u. Q0 b
[
! H# r! g$ ^4 k& q' e& Dif (item j( [credibility] of turtle (i + 1)) != -1)/ m- {) c9 s8 U' q
;;判断是否给本turtle的评价质量做出过评价的节点 R8 }8 t1 c9 c
[set note (note + item j ([credibility]of turtle (i + 1))); @5 y: k0 T- Q( ^) n; }( R
;;*(exp (-(people - 2)))/(people - 2))]
) H1 _$ J" D" U/ Nset k (k + 1)
( Y3 q, s4 l) W' P: Q5 o]3 t6 N' J \9 z K3 g3 x! C- d
set j (j + 1)1 ~% D& V4 b5 ]/ m9 U
]
' J" y- i0 _7 Y0 ~+ T0 m) Tset note (note *(exp (- (1 / k)))/ k)" K* {2 c' b' }" f, X/ G
set credibility-list (replace-item i credibility-list note)8 {$ L& l1 G8 L+ A
set i (i + 1)0 i- K. `* W. R+ B5 r
]+ K+ L( s3 K, z9 w' A5 @3 u/ G
end+ K1 t2 e; h, N3 ~9 m6 g; J8 Z
. G9 R5 o F5 k
to update-global-reputation-list
& p2 K) `" r4 t" K+ |0 Elet j 0
. C& d% d0 l7 x0 H3 p. e+ nwhile[j < people]
- \$ B& M( y# O( x8 W, s[0 ~2 i2 u2 L" ~) s4 Q' h
let new 0
1 _- p# J, y7 w1 v* K/ O+ R* ~' c;;暂存新的一个全局声誉
& ~+ J) h* T4 ~& |$ T: s- l. g" M+ x; glet i 0
& h7 p8 d1 | H+ [- Hlet sum-money 0
8 b* S6 o9 C' M7 f! Blet credibility-money 0
0 l8 L* ]! ]( ^0 a9 q: I. Y* `# ]! Pwhile [i < people]
0 [/ \9 y+ j) C1 d6 O) P[
1 E2 w3 o5 I5 c4 G2 C5 A6 Bset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
7 |. w, u- D9 g, t1 ]! T% ?set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
# j5 f7 I3 Y# }+ L5 A6 cset i (i + 1)
" t# b: A) W0 u9 k8 r7 A3 O5 b] S8 }2 k0 X {' y
let k 0
) x' [& p; T0 X# x& clet new1 0
, F9 r% o9 B+ E* y. |$ Dwhile [k < people]
& @8 a \" c D |[( a( f( z: T2 G/ s/ b
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)# K! @ M8 N+ Y8 J! f* d
set k (k + 1)2 x9 Y; Z3 [% h2 v
]' O$ n- s8 H* n6 h# ~
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
& ?' n: c, A! Z! pset global-reputation-list (replace-item j global-reputation-list new)
9 {# z0 G) G' u+ q9 dset j (j + 1)( _' e, F3 v4 ?# I
]8 x* n+ p0 X _" V5 A( z
end
6 Y x0 K2 p/ y5 Y& i Z
3 w' L$ z1 ]. V$ H/ P2 }, c( s3 X( L7 Y/ c
7 H, S' e. H, ?: z, U9 h
to get-color* B) B: |2 H! o9 i8 s
5 `/ }; Z: `/ e) o! v) Fset color blue% |3 I- H* _# G2 B
end5 z- P9 B# y" p2 z- ]' I
9 ^7 _& a% J; W' P0 zto poll-class
. v- H6 S, W3 O2 w# N* N- o4 yend3 N- ?% W/ L4 B1 p2 F. D
& h2 m# w8 q- H% f9 X( m! y3 m0 q
to setup-plot1
2 Q) B9 P! g5 e3 s% W! w' ?3 V5 E# t, H5 m1 z% @$ C' z
set-current-plot "Trends-of-Local-reputation"
7 P$ D ~6 v7 B9 N( k- J/ w0 w- d
+ ^' ^$ J, n9 G {- E; ~set-plot-x-range 0 xmax, @7 E+ v; V8 C; M
3 W& q' @) L [set-plot-y-range 0.0 ymax* ]5 h' U6 W9 l
end
% _; {' ?+ T" y% J* y, x; g
6 S# r/ w: Y2 X7 r, I8 Yto setup-plot2
& q. k. @' Q- E9 d/ e/ d4 i0 Q8 ~2 r6 Y, @
set-current-plot "Trends-of-global-reputation"
8 c% K8 E- s- W9 i k, c: v o( }8 E2 t. i8 N" g; l
set-plot-x-range 0 xmax
' c k+ R+ T ]7 ~! @
: a. w* m& t1 ~set-plot-y-range 0.0 ymax; |! p, I5 N5 ]+ P, J% Z2 h
end4 b7 i' [2 [3 ~; S; w
2 Q6 w7 V$ Z4 e/ s+ n! F! Y9 o. Pto setup-plot3
/ ~9 O! Q- h7 P1 F) c$ c
9 |9 N9 U& s# Uset-current-plot "Trends-of-credibility"/ P* e& q$ x; h1 r+ S
6 G: C$ | I, u" O
set-plot-x-range 0 xmax
- V5 t9 _7 f' a* V
) c4 E# I4 E& G9 Cset-plot-y-range 0.0 ymax6 h y! n# g+ L: y/ o/ b9 J/ i
end. Q5 R$ H( }+ O. H
& X0 y0 L! b$ x* O* Gto do-plots( L1 m" K+ C; ?7 Q9 L5 ^
set-current-plot "Trends-of-Local-reputation"0 ^/ q" |+ K# S
set-current-plot-pen "Honest service"/ W" [: \2 z( r! T1 X5 k
end8 r: N5 D% x& f, s9 k; }1 }
$ Z- W+ Z9 T8 X% H3 E& o
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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