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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4 k6 j+ x8 R7 x. ~3 r6 ]
globals[! O9 k: x; G' Y9 k8 ^
xmax
# i5 J! a0 C9 y+ `9 q5 c2 eymax
7 q' g. W; b2 j- }7 v6 O1 w8 Uglobal-reputation-list! a# ` @7 K9 g* R$ C4 [
8 o) m& Y+ m, K;;每一个turtle的全局声誉都存在此LIST中. d8 j$ g% ]0 W
credibility-list
' { x. Q$ e6 W$ |3 \;;每一个turtle的评价可信度
; E2 c/ d5 T4 o( H6 X8 xhonest-service3 u( o* X. K9 P4 a' Y# V- ]+ d4 ~0 _+ ^
unhonest-service
" q- h9 H4 O* i& m3 a& y, Goscillation
! T7 C/ q1 h4 Y& k2 T# J/ y1 Brand-dynamic
( H" l# h" b& U+ f1 W0 {! W1 K6 B]
4 \- Y, j( T, M0 a5 s) e _! G$ Y4 s* e5 q* j
turtles-own[* d4 x g: [2 V- o4 ^/ j
trade-record-all
1 M( z6 `' N" k/ j- [;;a list of lists,由trade-record-one组成
4 ], ?2 K% I- Htrade-record-one
6 D0 j* G! }/ 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' j- D" L' b3 O
8 \+ O4 X k+ X1 b a
;;[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]]
7 R. U" P. j3 q; 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' i. P: C) S( _# i$ Tcredibility-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
/ E& l; O z; ^9 hneighbor-total
9 W5 v- r6 s# l( l, u9 y& N) ~;;记录该turtle的邻居节点的数目7 [% @6 Q: l( M# l! p
trade-time; f" }7 |- q9 g' w! ^
;;当前发生交易的turtle的交易时间# X: Z% \( x; p9 i
appraise-give
; E+ u( x. p# z/ u" _" @;;当前发生交易时给出的评价
, d2 Z) g% @/ {4 o% C( p+ z# Qappraise-receive6 R5 x$ T) [8 n) |# V; V
;;当前发生交易时收到的评价
1 P+ P& F6 d! `3 D0 A; zappraise-time
: f# X5 A+ a# j8 n$ B;;当前发生交易时的评价时间
~ ~7 I. y1 B9 Z0 N- S- Slocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
J) B- X6 i4 i4 I2 k; @! Y( Atrade-times-total
) M) E5 }- U5 g" `;;与当前turtle的交易总次数! z3 j/ ]" W2 C( a. N* O
trade-money-total- N; r0 }0 l" ^9 d0 s
;;与当前turtle的交易总金额7 i$ H4 N0 W# t. x0 {6 q# ]' l
local-reputation
) X c; B5 b" x( V" ]global-reputation
e4 v7 y2 U( V2 Mcredibility% R" ]9 @& X2 A( G
;;评价可信度,每次交易后都需要更新5 U3 c/ `) F: j* r' u$ P% n
credibility-all5 m I' F# w+ i# [/ D" |0 d
;;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& h: E# M& f, J7 Y
7 T" ]# T4 f) e( _- ?: S2 M;;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
7 q F9 M x& C- b2 K+ Ncredibility-one
* W& I- _( p8 k4 I B+ j f;;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
9 R, X8 u# b4 S6 c; v$ Fglobal-proportion4 \4 ` |' m! ~- V4 U& U- f
customer H# y. x1 W& g; f2 s
customer-no7 h6 l# E+ q5 m. z$ T1 s1 \
trust-ok; }3 J7 u! O8 E9 F* q/ V
trade-record-one-len;;trade-record-one的长度% d m7 i5 h- H _0 N c
]: L( T/ k8 S2 d! S- Z, f
, H2 ~, p) c/ i7 }1 x8 Q1 d
;;setup procedure
. B% N9 U& S% J- a. U6 E4 w6 B
6 J4 {7 M* y% I# ^2 D; Y( M3 \' oto setup, }$ W+ P2 F+ |1 m- f
- p1 F5 U; s4 P+ n* T
ca
* h" t D* f" Y6 E' o6 y
+ Q+ I& q# e/ Y- sinitialize-settings! z: p9 u3 y: I' x5 O n y
6 @- D- k% D% f: Qcrt people [setup-turtles]( I$ [( ?0 P' L8 P' L- j R; A
0 D8 I! P( t% f& L; lreset-timer3 s7 f) t6 R. L1 ~" c3 F- E, T
. z& b9 h; |, Y7 Npoll-class9 n! H* L. N3 U4 G% [
0 n6 _7 C% K2 R; _
setup-plots$ b! \9 Z9 V5 {: G) `1 `: E
# l6 L) A: U: X/ I( O4 I) Tdo-plots
% C; J0 Z4 q. \& S! Tend( E( W& ?2 `; I' O1 P9 s {" k
0 i9 x. i" S* f0 J9 e- n
to initialize-settings
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1 [ P2 G. {/ d, ~3 [set global-reputation-list []" X% N$ p! v% e+ d% D
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set credibility-list n-values people [0.5]
" T; q0 M) s3 K$ `* S$ ?2 c4 C" Z( m( C8 `* f
set honest-service 0. k, c( z# U, L( t' K+ |
6 V2 B- n4 n5 Y/ s( b" V6 H4 `4 A( Hset unhonest-service 0
9 E' E1 t. ?: }* X: ], r/ `* k7 u+ G2 u" N6 P) j8 z+ K0 y* [9 u& |
set oscillation 0
# `1 {1 h+ W0 |1 Q# [
( o) a8 w3 v) f; |' x3 o; G: qset rand-dynamic 04 }6 a9 _8 ?4 K$ z8 U) L
end
( Z7 C( b" G1 Z; c
7 T8 h6 F" e" a) v7 t. g5 {. Tto setup-turtles
5 ?9 k6 i# N; x# f- ]1 ^5 p, |set shape "person"- t8 J& D2 M: C. N+ M0 {
setxy random-xcor random-ycor' s2 k8 K, n# W" I7 F6 {( p
set trade-record-one []
( R2 V+ b! v7 B/ w# S5 e& p/ u. o, {) l# I" J8 j8 H6 v9 R- R
set trade-record-all n-values people [(list (? + 1) 0 0)]
% m z; E" y$ {0 _, l+ Y: b" Y' R1 J" U
set trade-record-current []
$ C3 G$ |3 c; S- Bset credibility-receive []- m! E3 W$ x" {
set local-reputation 0.54 `0 {% S# ` u* n8 x% {
set neighbor-total 00 V$ V$ N0 a3 ~8 k; |: v8 J
set trade-times-total 0
+ T z4 l$ p6 U3 E; yset trade-money-total 00 l7 v( v/ D; v* E( T l% U
set customer nobody: I! m4 {8 e2 T: E, |) O
set credibility-all n-values people [creat-credibility]
0 j8 W. E5 w4 R7 r- \- q7 ?/ P" ?set credibility n-values people [-1]
u' z2 e" r' b7 bget-color- ~# z) |2 C% `9 F
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end" F5 k; I. v- ^* S
?, f9 F. M' Y# ] C$ R3 k
to-report creat-credibility- m; | C) O: r5 {& f: d: L4 P
report n-values people [0.5]' U6 O" z4 @; {3 K+ ?
end
# [9 y7 G9 E% t! [ ]7 k' B5 Z
6 p0 |$ i, w& N+ hto setup-plots$ b1 H0 {, Z! t, T. K7 e! H& k/ s
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set xmax 30/ r$ X: P/ t. Y; Y) G- i
- G3 h5 o* ^( w0 Lset ymax 1.0$ O9 j- S7 c7 i8 F# w( {, @+ z; G
) Z6 D( O$ [, R4 T3 O# @8 kclear-all-plots7 `) l5 P8 ~% E- n/ B* |6 s) y7 f9 ]4 [. X
3 ]* A5 ~ V0 g8 t1 T) ?setup-plot1* k+ O" ]% a) P! K+ L u
4 f" b3 L/ s8 _setup-plot2: h0 J5 ^" J# v! `8 q3 A% @& j
5 B4 J- \; W0 E3 F- G5 V* D5 ^; E! usetup-plot3
4 p" p, [. d }+ X7 _" A. tend- S" z7 f, w( \: u. x
: W) E2 ^! c) g6 m0 g- V+ C. r4 h Y;;run time procedures
S& D0 e* S& J: y' ~1 `! h! d- }' f
% A& h7 R- b- h; G6 L, W* Nto go
0 {, G [$ B1 ^& S9 l7 X
8 Q4 G+ a" \8 H% B4 F! Z3 x( a; Fask turtles [do-business]' x8 R3 S. Q- M/ R
end
1 ~1 _# `6 R" H; ]+ c9 i
/ L( F9 q; }2 k% s. }& Oto do-business
1 Q' H! o A$ o0 C, u/ Y+ @5 ~
, t5 V$ H/ s& o: }$ q- Z8 I" } J* n
rt random 360" m# }& G+ @ C' o
. }1 v l% w* ~; Y ]6 u% ffd 1
8 V1 c! |+ a! M( U7 V& m, n0 X* i) g$ f& G: C8 g
ifelse(other turtles-here != nobody)[
9 ~2 N' O4 _1 {- b/ t! P& ^, Z, h4 [' W3 Y" }2 X
set customer one-of other turtles-here
$ n4 T! n7 f1 X
8 H2 b8 `* K' {/ M;; set [customer] of customer myself0 q+ ?6 S0 `, k$ O# T6 b5 M1 _
: x! Z, q& b1 I& S& p2 R) }set [trade-record-one] of self item (([who] of customer) - 1)# W W! h. }% \0 I0 q! m/ F
[trade-record-all]of self. L0 N& ?: s; I
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self1 a9 c* y2 \/ v& _0 m) U
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set [trade-record-one] of customer item (([who] of self) - 1)
; i+ k$ i( u5 {[trade-record-all]of customer
$ A, \% J5 _/ @
6 }: ]6 O) t- D: i Qset [trade-record-one-len] of self length [trade-record-one] of self$ I: Y7 p6 z) V5 y8 ^$ X
# x" Z7 Q! s/ z& h! ~
set trade-record-current( list (timer) (random money-upper-limit))1 [6 r3 K% r( e; k
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ask self [do-trust]% b+ |& U8 J9 [9 E2 [6 V, O/ N
;;先求i对j的信任度
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if ([trust-ok] of self)$ u# [$ G0 `0 N" U; J
;;根据i对j的信任度来决定是否与j进行交易[& ^' w0 u; x$ h$ U9 w
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself; e. e3 \3 C0 f4 s* M# r! V8 P
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[( c: \. t; m/ A+ m D
% [; n" ]" v! f) Ydo-trade" G% u* q; S# R8 \9 ~( | ?
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update-credibility-ijl
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8 i0 q" B6 @0 w yupdate-credibility-list5 x; y9 f( G* l: Z+ R8 B& ^% j
1 A, i# [4 @, g% h3 _6 U/ f. G
; `7 y7 I1 q r, Jupdate-global-reputation-list, q/ Q' k0 h# m/ E, S
: v: q$ u1 M. G" U3 |7 ?poll-class9 J+ n: f" t7 ^3 a6 Z; b
3 _' Y5 v$ `% K: S, M* uget-color2 h/ {& }% o& c7 ~/ X& s }
- `4 n |' j# M7 k]]
. n' u. V5 j; W9 \4 C1 i: _
4 G9 W, q, r0 W2 Q;;如果所得的信任度满足条件,则进行交易( o; h- s" f6 T4 l9 x! o9 l$ ^
2 U. w* x2 w! q
[
, @* O( j. _$ E, H7 f
/ X& A. J4 U% O: Trt random 360- q/ O* A( o) V% o( l( l) ?4 M
8 h1 B a/ ~( s( w
fd 1# T7 q/ M$ H6 O P
- f) {$ P/ s5 n, K) D5 j
], j9 b9 ~. \% m) ~. z: T1 J
! c$ Z5 a0 R+ V9 {: T" D- E, i3 cend( i1 k' P+ X1 `. p0 u) W% h- o
# A! _) j7 F! V( n; E0 B( `to do-trust
9 J9 O! v& o/ A* I. F6 eset trust-ok False
" k( P' |5 g/ q. C+ k: f$ F* K- Z" J D% x
) H5 ~6 d: n$ p- s& G0 Z6 T; u
let max-trade-times 0
* i# Q: c( \/ I! j) B% L* {foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
3 O* Y7 v; ^( \2 Ulet max-trade-money 0% p; x) g% o' E! C: Q4 Z& u
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
* q6 V. c! {) j- P6 W) Alet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))- r9 r6 r/ u! e8 O
# d' i1 a$ B: t8 ^& l* q3 L1 p V3 V' u) i0 c
get-global-proportion
6 Y' {! [& n, G6 h0 I4 |1 V* |4 V3 n% Ilet trust-value
, Y. E7 g5 q! T" C4 _5 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)
; K. c0 O& T4 k h; r& {if(trust-value > trade-trust-value)
; z y6 q1 f: Q, V" h& C! B[set trust-ok true]) V/ E$ P% i# y. H
end
6 A: O2 s5 @9 X& W" h' {) E \# G9 a; K5 s! @& f$ W
to get-global-proportion
3 G. B) S$ r/ Z) L1 Oifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)( V- w, p& p- Q+ S" Z& |$ d! _
[set global-proportion 0]* V A' w! L; d( I, o! _! [% i$ ~4 ?7 g
[let i 00 T- D/ P; O: B
let sum-money 0) G# \. U; i8 K4 Q: C" _$ c, m
while[ i < people]% l5 Q% O$ w$ z% V x. `
[( N; H1 ?0 u8 A, M
if( length (item i
( f4 g- e P0 q" Y[trade-record-all] of customer) > 3 )
( d) N. G9 x& Z: Q+ Z* U* Q) Y[
5 E; z3 ? W( yset sum-money (sum-money + item 2(item i [trade-record-all] of myself))# J8 b- _6 o$ [7 j; Z4 i
]8 w* U2 o$ H( }5 G
] W# W4 F& ~. s K
let j 0+ B E5 }* J: d* m( X
let note 00 U" {, C% i% f
while[ j < people]
3 H8 K' F4 e, r% z[8 L5 b4 Y4 s9 W2 l
if( length (item i
7 n1 d3 `) I) q! m( i( j5 K[trade-record-all] of customer) > 3 )
- }; H. M5 H8 L/ S( S9 E! B2 T[& F! {( U+ {: \8 [5 `7 Q9 e0 F
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
- L' B2 w: f( \7 n: b[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
* S' z8 v- y: x6 [5 Y( n6 p2 ][set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
/ m! z- M6 r& v' a]: B$ |& H; p4 Z
]
7 C+ R8 B; \0 x$ E' |set global-proportion note
* ?: r* Y+ ]# i& Z]
3 J9 O5 R9 d) c+ ]end: w4 x. _# X2 I, v# N
% r A# N% X# Z# Zto do-trade
) [/ i1 R- U3 t$ B; Q1 q$ o;;这个过程实际上是给双方作出评价的过程
# `& e k: P" ~5 ]& sset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价. E2 L, e9 Q' T* M
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价( b: {. o: h6 V* ~2 }; l
set trade-record-current lput(timer) trade-record-current
" P1 D/ ]. r& u;;评价时间
) z, I7 f+ c! F! ?2 \$ U {ask myself [
' @: y+ q: C/ X( B- A. Y, L6 aupdate-local-reputation; y/ F: a/ L; I* m; `+ K
set trade-record-current lput([local-reputation] of myself) trade-record-current; P1 x; Y" x% y
]
* o, }5 M( ^/ k1 Dset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself$ y& i# n2 v7 x" C* {9 q0 c
;;将此次交易的记录加入到trade-record-one中# h0 y* q9 B3 F, B% N/ R2 T9 `
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
0 J/ ]+ t; V4 Mlet note (item 2 trade-record-current ), @2 c- l9 q# E( z4 P; F9 X0 e, D
set trade-record-current( A! o# N0 c2 A; C
(replace-item 2 trade-record-current (item 3 trade-record-current))
9 c6 y8 t: N% x8 j* Gset trade-record-current
( z8 x/ a% a! K2 n(replace-item 3 trade-record-current note)7 x) K5 Y( B0 o
" D9 c: D) p! P& X3 B
- x* }' R+ o9 a8 `- w
ask customer [
$ A9 x v$ c8 r. N7 S* j3 {update-local-reputation
( X& ]; E F q3 wset trade-record-current
( ^ M* Q& F |6 x4 f" [4 R& c(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) . m( R# [7 ~! B' `7 X
]
* i Q0 T$ |# P$ c! D$ \4 z9 Q7 J5 e% w; W8 ]0 \
: r6 h0 l( s; s% u+ ^1 e
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
; r) A/ D% H) w* O! }4 u8 F# K" f: K/ `
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
' W+ U8 j& v, S$ n( };;将此次交易的记录加入到customer的trade-record-all中
5 ?' L7 \ H; A2 _end: h" b; d/ a& h$ j! l5 N" I8 ~
! V5 A% b! f+ y3 a* f0 Z! j N5 Eto update-local-reputation
4 p+ V- `; l, O) U+ G- Dset [trade-record-one-len] of myself length [trade-record-one] of myself
r p0 T/ L( B6 M1 v1 w% @3 e1 o! Y4 Y
' C, k0 `4 b4 o% y5 j0 n5 Q;;if [trade-record-one-len] of myself > 3
; S6 L4 p+ ~( Fupdate-neighbor-total
+ n, _0 r7 _( k0 J0 l+ F;;更新邻居节点的数目,在此进行1 o& ~ H$ C# ]" x T
let i 3" \5 j y2 u! E+ P( f% g+ Q
let sum-time 0$ q* s% o: T% k' I3 @1 ?
while[i < [trade-record-one-len] of myself]8 R$ i; M/ x7 \9 J4 B
[
9 c! d5 { o2 J/ lset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) ). Q+ y# A" S$ L; l: h. J! M. w0 [0 h3 f
set i
3 f( l1 I* f3 E& ?+ Z! ? P( i + 1). t) W: M1 _; y7 u2 z
]
- Z2 |7 o2 @4 W# T/ v- Zlet j 30 L( `. j2 ?+ `5 y
let sum-money 0
0 P6 t; H5 H. |; zwhile[j < [trade-record-one-len] of myself]: \& }: i; f$ ?/ K9 R9 u2 b. D
[, d! E$ |, V+ X' L x: S, Z. 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)
* J+ [! ~ F. Rset j* A9 _) ^' W1 F
( j + 1)
0 G# q" z6 ^3 P3 s1 H]
' c) f* u' H- V' f; F- r/ G: alet k 3
- n. \: c: x+ m2 R% \let power 0
: s- x* v# ^5 }2 g j7 ^3 ilet local 07 ^/ ?. f+ q9 w: B/ p1 [2 w
while [k <[trade-record-one-len] of myself]
7 a1 B4 J; w: {( B/ w[
% S: @& T( H& _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)
( {* }" s1 V. p/ i rset k (k + 1). M9 j; X8 y, m, i& i
]
5 q* b% c& W7 F) jset [local-reputation] of myself (local)
5 d; ^% V9 A& _end
% f. ?: W% w4 q" S) q ?4 E
# {& {# O1 J3 a0 eto update-neighbor-total
) A, L+ f$ a& ^. b; _2 B) N% V5 |+ q, O5 g0 U. b* ^' v: G
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
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$ w+ W8 s4 v8 Z5 k0 [
end
" h+ c+ R1 A) I
( E3 U" p+ f' pto update-credibility-ijl
6 E' q1 ~: b; R) j5 a# L, s6 J( U9 A4 \$ ?& K' K! ~
;;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。& R- X% v$ a0 B/ @0 R
let l 0% e2 V; Q! n7 R; v
while[ l < people ]4 H# S0 n6 N4 w; B& `
;;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)
6 m9 x2 g1 A( ?3 E% l0 \1 B9 Wif (trade-record-one-j-l-len > 3)
( x; s! V) f$ K[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 P) \, B# l9 t7 s/ b) M
let i 3
+ J( W \8 V/ X4 [, a/ l- \let sum-time 0& H5 y: d% w4 v4 t1 h- T& `
while[i < trade-record-one-len]& T% X7 @- ~' Z8 ?1 H! `2 E
[3 D9 g3 M4 M4 {* x) C
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )) t* ?; D w) A% v2 g+ N
set i
2 D1 L$ s8 L3 r3 o9 E9 L( i + 1)& D( ~1 l, \( i; ?( @6 I" U# X
]3 U/ p- z Z, O) C% U
let credibility-i-j-l 0& G/ S+ N3 \* k3 r: D5 i
;;i评价(j对jl的评价)
S' a+ t* R; V0 a1 z1 |: flet j 3% S6 o; G; l& e) O! q/ r8 [
let k 4& s" {; t3 K( S
while[j < trade-record-one-len]
1 J& u4 K' H, ~; C& j' V[4 y( R8 x: v( e% |! f
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
) n( N; w5 ~, [( k; k Zset 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)
# I0 W% d- J/ g+ `7 ~set j( l2 N% @; N1 T& u
( j + 1)
0 d) J6 T& r2 @]
8 _. H8 f% `$ q( t9 h" S" Sset [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 ))) E0 i q3 r) m4 T' b* b% U
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. L) |2 I6 ^! ~, |# l- a) }let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
$ S- n7 l) u/ w. T& h- i, T;;及时更新i对l的评价质量的评价
. v1 ?- }. H; u1 B2 s) O7 P: Eset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]. D9 O' M; G- D' s
set l (l + 1)- n( h5 Z! q! o9 ?
]! c: K- G/ \. s7 Z& ?
end6 G. z3 K5 C, p* h4 c% d- R
8 [8 n: D8 M x0 Lto update-credibility-list
- Q: m$ g3 I9 ]/ f9 olet i 03 r$ ~9 S9 H" U$ D. A
while[i < people]* Z# y% w( Y+ p6 E% H. n8 k
[) b. u5 u8 Q6 [8 G4 J. O% G
let j 0
2 Y+ X- v$ [' V6 Y( O( N7 N" k2 hlet note 0
# F6 c' W; w5 @! j5 {+ x. M0 X" Qlet k 0
6 v1 k* v8 _& x6 ~. {;;计作出过评价的邻居节点的数目( C1 F# g! F1 g. u; S( | E2 L
while[j < people]) e3 S. u7 I3 [! r* v& T; R9 L
[: x0 f8 W6 H' C! \
if (item j( [credibility] of turtle (i + 1)) != -1)$ ~( Q# N2 R" u2 M. v1 `$ S1 Z
;;判断是否给本turtle的评价质量做出过评价的节点
# \8 N- Z. _8 y/ z% H[set note (note + item j ([credibility]of turtle (i + 1)))
& r8 ?+ S, {& g1 _' ~; p;;*(exp (-(people - 2)))/(people - 2))]
! b3 h, X. X" A+ r. D! [set k (k + 1)
1 ^3 F, f( H r7 q1 j], l. @, |. {! s) i9 u/ p8 U5 l
set j (j + 1)6 ~: `( d: A) P( w) E& ~# @
]0 e4 N9 {1 k2 H" l( ?9 z* W
set note (note *(exp (- (1 / k)))/ k)+ a+ z( ? j' V3 L' H
set credibility-list (replace-item i credibility-list note)
+ T7 |4 A; N/ C; Sset i (i + 1)* M* ^& j/ d: `5 N
]$ p7 m# n) n! ]
end
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to update-global-reputation-list2 }5 @: M" [3 M; Y# k' f8 J! `* `$ ~
let j 0: E+ |" Y2 X* s* n
while[j < people]2 C3 P7 R% U( I/ j }4 P
[
( ~; `3 x/ {- C+ Z6 ylet new 0# L+ ~0 e9 R7 F5 _# `1 C. ?0 |+ _
;;暂存新的一个全局声誉 a1 H6 g2 n' }6 q
let i 0
% D: a5 H5 R) _2 W1 E# k, P$ Q( Tlet sum-money 0
( l- Y8 c# F; G" `% L% [( clet credibility-money 0. ~+ P) | ~2 w3 K+ P# r. N
while [i < people]
8 r# b4 L/ o. B. z8 c[
+ u( A$ o: u9 F9 A4 e4 Nset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
$ J6 u% W7 W3 }/ {set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))! P' ?- x2 ?7 j! m
set i (i + 1)" x7 f' p, U( b9 F0 {
]2 n) K! Y' Q# C0 b0 J% C8 O1 b
let k 0! v3 A9 h' s( U
let new1 0
: V% A9 s+ {5 x2 X4 wwhile [k < people]$ ~: ?! }3 \: I% M- b6 Q2 b9 P
[
0 y9 ^9 n5 l1 ?1 r3 m. u' sset 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)
6 B0 J4 I1 N P- m' Cset k (k + 1). r9 s* o' |" i5 i0 o: m
]
/ T# I/ n& L {set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
$ V$ S. E% x# @9 vset global-reputation-list (replace-item j global-reputation-list new)
1 |. n; S, ?8 u$ H* O- kset j (j + 1), o, _) Q6 j3 O) g
]
. j! C* E" g8 K4 X5 jend; A3 J0 ^# p( i d
5 I2 _4 f8 c; G- y t' U: G3 Y/ p& V0 D. G& ]
5 Z- ~( j6 O7 F# b0 l
to get-color
; T: ?2 y0 r; P1 W$ I g) V
' n* B, \1 K6 Oset color blue
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. ^& a, h& {' ^; ~" ato poll-class8 y g4 N6 _, w6 m
end
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to setup-plot1
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! L9 u4 G+ K9 t* S/ `set-current-plot "Trends-of-Local-reputation"
8 r- T& V' C4 |1 h! q% v3 ^ `
+ _ J1 m# @( _set-plot-x-range 0 xmax8 x; ~3 N1 ~1 o6 N* v
) M- `5 n, [& P& m
set-plot-y-range 0.0 ymax
& V8 }$ x" A5 E6 h' yend
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to setup-plot2
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set-current-plot "Trends-of-global-reputation"6 L+ j0 s' |: t0 Y+ e! p
# q9 \. A. D) D/ y4 m
set-plot-x-range 0 xmax
2 g: E: ~- _1 k' j" v9 y$ C9 I- F2 y. U
' g0 }, l/ e9 D* vset-plot-y-range 0.0 ymax- X$ ?5 S8 E3 ^% H/ T' s
end# @7 E, I+ f+ i( J& j5 I! c
: Y3 R( G* F3 s; m; h& mto setup-plot3/ R! J# ^3 ^5 {5 I' H# Q( G
6 s+ I4 d8 y0 ?( v5 G9 j
set-current-plot "Trends-of-credibility"
8 [' @ z; U: P7 B+ O9 C$ Y: O( N! _6 \+ e+ S4 p
set-plot-x-range 0 xmax R( \# f8 s" f6 x" r, j- c" Q
f) Z6 m& {4 }+ `( ^8 eset-plot-y-range 0.0 ymax
7 m3 q3 a0 m$ u2 E) u4 F$ Q3 w* Nend
& f! ^5 X% A: Q
+ V+ Q$ X/ ^& lto do-plots5 M @: b0 T2 Y0 i. m
set-current-plot "Trends-of-Local-reputation". e2 }$ ^( T2 R# \+ S
set-current-plot-pen "Honest service" f( ?" z; g, U* e5 t: }$ D4 T# F
end; T: y4 o/ D- M2 q" B! ]9 X* X
) ` N& ? f8 Q% u% P3 {
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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