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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, s: q& K' n) _
globals[8 r' M( V4 u5 y- w& y4 e
xmax$ m3 [. L( r# f
ymax
4 v, x# ~ S; c! j- Yglobal-reputation-list8 V& p, g; F9 W4 w3 i; E8 {
( A. s6 B' w1 ^0 o- |6 [% Z
;;每一个turtle的全局声誉都存在此LIST中4 N6 I$ _( g Q) R) X
credibility-list" Y8 j* t8 _5 e6 k# t- }
;;每一个turtle的评价可信度
4 Z9 ?' F J$ Q5 f' @honest-service% T* G" C) I; s9 b4 c
unhonest-service
1 }! t* a, C, T( voscillation
( o9 L7 \3 F, R0 e( `- prand-dynamic; l; }# {8 ~. v) Z7 P& I! @; l: V
]
9 ~ x# p; _0 Y' A; d; @
3 ~& e% Q' A% ~ Z" J4 }turtles-own[
% n- R h9 {) I5 ntrade-record-all R4 K* ~% p, d# d6 }! k
;;a list of lists,由trade-record-one组成% _- R* ?9 z* f
trade-record-one9 A1 \% {2 G: C: P% e1 I% i
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录! f1 D" i7 I ~6 d1 | z
7 C! u4 \1 s$ 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]]: t+ T8 N8 N) A$ r N7 v) 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]
7 i4 g( Y) ^9 }) U$ Pcredibility-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
" F: i6 h6 l; _4 V( ineighbor-total: h3 A- S& _) F' I. d
;;记录该turtle的邻居节点的数目8 W2 b5 r8 S! w# E, a$ X" f
trade-time
) ]1 ~' ?; R6 ]5 ~7 f;;当前发生交易的turtle的交易时间
/ X7 f# p- @& h( aappraise-give9 m @) Q, V) e8 O) `; X
;;当前发生交易时给出的评价
# c ]7 T9 Y3 j0 R* E8 o1 m! F1 uappraise-receive" O6 c) j" w2 V) T' a
;;当前发生交易时收到的评价
# D- L' K& k# ~: xappraise-time
" |) [, s6 X5 [+ u" u5 X;;当前发生交易时的评价时间
- Y& f7 v) S- p' Clocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
8 g3 \5 r8 B Mtrade-times-total- ]3 m" H# X! }$ `, t' G# @
;;与当前turtle的交易总次数
! Z3 g3 y" J# H \$ j, s/ W# strade-money-total
" r3 N" }) l2 o;;与当前turtle的交易总金额8 r+ i. {1 h/ Y) j0 T7 d a
local-reputation
! T! A! V( ~8 P1 `$ t, jglobal-reputation
( K! I3 d. ~7 i8 k/ B: b% T4 ocredibility# j# V# R8 T) C: |2 ^ B& W
;;评价可信度,每次交易后都需要更新
1 M! }' H9 g- z2 Wcredibility-all
; A/ K- E8 w) j0 V$ {;;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- F$ [, q! B8 H( }/ U% D
& k' q0 u. D+ n8 U9 O2 ]
;;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
9 x; g7 z% x! V6 m; Acredibility-one! y, N, ]3 K0 E1 g2 w$ ^$ Q
;;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. `! Y5 _8 b* j7 t) @2 S" D7 t
global-proportion
|3 U; H' H& ?2 Ecustomer
t" w7 L6 s: p( L7 Pcustomer-no! R' N: ?+ b8 u0 p1 x
trust-ok5 u4 o3 M# D3 _" A. r
trade-record-one-len;;trade-record-one的长度
& @3 A: D# q" H, I' O]0 U+ s7 L3 h* _9 l! K7 f. Q; `
9 f" R% t/ e2 ~+ T3 _
;;setup procedure
1 [( ]6 d$ t8 M6 z6 n8 x' g% B3 ^5 |4 h# Y6 \2 b
to setup8 l/ v" x3 L' G, w1 c, n
$ @) Z: ]8 v" s3 |
ca
1 _* L" @: j% L- t' {
5 @1 v2 C! u; C$ ^) S" \initialize-settings
$ r9 P' V1 s' z# M4 r7 G
$ p2 Q. J# }' q3 A: m5 H; fcrt people [setup-turtles]
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reset-timer
* D9 e# O* Q$ e6 \! q$ _
8 W, c, R1 A2 N- npoll-class
( W2 G. P, t( [
! {) T; r- o6 g: ~! E7 ~0 i3 ]setup-plots
4 ~" `# f+ b; ?* W; @" D
5 b4 t! d! R5 Q- {7 ydo-plots) `- x8 y5 ~' W4 ]; b
end! S: O3 x& w" z* O% e
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to initialize-settings
: r* v. {+ Z1 W" i' I- ]0 M( H# N" v( N4 ^# W
set global-reputation-list []
4 X' u8 ~. [& Q% |
4 v4 S0 O& F" D: uset credibility-list n-values people [0.5]$ q0 V/ ~; ?/ k
( \( j' v" f) _6 m- o* j
set honest-service 0" N5 @9 B- _! e; h2 b+ n
. P4 w' N& P: j; _7 fset unhonest-service 09 g) M, P8 y) k! {& ?
8 r0 C) Z# O1 X( \set oscillation 0
; ?/ l$ A) o7 [4 B x5 v
: f5 }, ?' s! e0 D* vset rand-dynamic 0
9 _+ ]$ u! g. w: J; Eend) v4 r# z7 T/ B% c
! u+ {- H1 V8 o; x9 @! lto setup-turtles
! w" y- r0 ^" nset shape "person") j. }, Z' l: ^
setxy random-xcor random-ycor
1 Y6 l7 K9 d2 h7 W% Rset trade-record-one []- ~& y' j& g9 d( h
; T W% t' X7 N `
set trade-record-all n-values people [(list (? + 1) 0 0)]
% G" q1 E+ I5 R' |' y' m
$ a2 }& {! j0 k$ e$ Xset trade-record-current []6 C0 L+ a8 G. \# u1 d9 m( a0 E4 G
set credibility-receive []; T: C. e; J/ Y
set local-reputation 0.5
0 V* y) M4 d( y: w+ y+ ^set neighbor-total 0
- E9 r- A8 K8 w9 Cset trade-times-total 0
/ n) Q2 l( G+ ^' k; |; gset trade-money-total 0
+ @4 v- C$ {) U7 [/ v. f3 I4 Xset customer nobody% {0 a* j' n5 Q0 }% G i
set credibility-all n-values people [creat-credibility]
) g( z9 C( l0 F/ V4 v3 c; Y& eset credibility n-values people [-1]3 J) h4 c7 X6 l
get-color6 K) i m- b, q7 Y3 V9 }6 @- c0 _
% B) C6 Q+ @; N. i6 W2 l' L$ D! {end+ L, @! ?3 }1 O `0 x- i6 s" M
: v% m# ], L" u) |( j
to-report creat-credibility* }8 R7 y6 _1 x6 T. ], O% i
report n-values people [0.5]
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5 }) z5 C5 N& G7 V4 B# i% l
to setup-plots
5 x1 I: L2 L6 Y/ J+ Y# o8 ~8 E! N" Q: B3 M6 B
set xmax 30
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set ymax 1.0
* T: B" n0 K2 d' Y, G2 A2 v7 P) \1 G8 A6 q* E, R& a3 ^
clear-all-plots
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7 U5 F5 x. a0 ~ F0 D3 x) Qsetup-plot1' Q" r* m; S8 f! U1 n' t. R
0 U: ~1 H& ?3 ]' H7 J& N6 G4 Esetup-plot2- y7 e1 a4 j$ I$ `7 V) I4 W, ?& o
: x: }0 Q6 R% B- t {3 D9 dsetup-plot3
9 O& F+ H; E* Nend# Z8 U6 J1 t- x# [
5 b* r% C! n. P( P;;run time procedures Q( Q5 p/ K, E4 C4 q G1 C
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to go& R" B3 S G/ P& v
4 }8 H- b! P0 q- lask turtles [do-business] g' X+ ^5 C; u; x
end
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5 e4 w- o! D9 u7 F& |) yto do-business
$ B+ L) J* K$ D* ~) y
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# p6 p. y. ?# [: i: {9 ], U+ Hrt random 360' Z, U0 R1 w- W3 z+ [
: p- n* X: C* ]3 c* h* f" Efd 1
* v% J% ^' ^, D* ?: M+ N$ h% h) {4 ^. e" }, |8 a2 m- t
ifelse(other turtles-here != nobody)[
+ q2 r0 j4 s6 {2 b( f+ K5 N. \( o4 ~9 h3 K4 A
set customer one-of other turtles-here
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7 z, r" A. \- g H4 Y! i( S;; set [customer] of customer myself
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, D0 F, u( R! M; zset [trade-record-one] of self item (([who] of customer) - 1)' k, Y# Z E2 J1 b* q, I
[trade-record-all]of self
* I+ ~: T# q3 d;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
1 @5 T$ V6 z" V1 f
8 l2 q; b; I: {1 u- D7 A$ e6 D- }set [trade-record-one] of customer item (([who] of self) - 1)
3 o. V2 ?/ x& h5 Y- o[trade-record-all]of customer
7 L4 G" @- ]1 \* L7 ?3 ?3 Q2 d! h( a9 J3 l: v, x4 z- i
set [trade-record-one-len] of self length [trade-record-one] of self/ ?1 q" Z9 _2 M: D+ U0 t" d4 j
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set trade-record-current( list (timer) (random money-upper-limit))
2 i( g4 S& R# }6 d
7 a: v+ S* B* _1 A$ `- j! U2 h* Sask self [do-trust]5 ~) i4 M% P* N1 E; u- w& g
;;先求i对j的信任度
* n' I/ w7 l5 Y! P6 h$ ~- k
f. y, K5 k; H# G' Lif ([trust-ok] of self)
7 W' N! n6 ?0 s C;;根据i对j的信任度来决定是否与j进行交易[
8 [3 a( ^; q% A1 gask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself" e; k5 O. u3 u) i
+ q+ I5 q( n' H3 P( s( L% r9 N% U/ v[
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do-trade
1 p+ b* |+ d1 i6 s4 E% u! n6 s! [
update-credibility-ijl3 `, V3 b$ ]. C* _6 L
1 S* Y. U$ K0 Fupdate-credibility-list
5 d! s- n' S" w# ]3 d: f/ {( E3 [3 i
& n& P1 {2 ~' [* r! Y) p5 W
update-global-reputation-list
; }7 e* s% ? e( u. w P5 F4 v9 L' X i- s7 B+ a
poll-class) a1 v( u/ }" P3 U$ t% D) j/ H
# l+ J% F6 o# e5 H
get-color
& i- Y; V v! x% q8 G+ C0 f. O! s/ A
]]
! w2 b% p, r$ F& y* W9 N u8 \: W+ Y! O0 X3 y% V
;;如果所得的信任度满足条件,则进行交易6 |+ [& O; B |* L
: \: E/ Q, K8 m( m! B( r1 F[
" L; b- O- q4 z% }4 `6 T! B+ f
6 A$ b0 q' ?% J, brt random 360
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fd 13 ~; f1 P# \4 w
7 T9 T. }* S: s$ _- q
]$ b8 P4 J: m. x$ w
- d0 t: }1 ~, [
end
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to do-trust
. _. k; p1 i. ^4 s$ uset trust-ok False9 U3 W4 H' M2 H# m
7 p! _2 m" \* u+ S0 e& D- o! W
' F# E# [* p: d( U* }. ilet max-trade-times 0+ S) r9 I7 h0 a; `( r
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
3 T" m: G' n2 t8 w. H4 w2 A+ ]let max-trade-money 0
! Z6 p( {$ D/ d) \foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
`7 d5 B3 t! i" H2 V* tlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))/ m1 c& U# O7 _. j: P* F8 I% d
4 X8 }6 V" F! ]% W- h
1 s$ G5 {( i, s/ e0 o5 ~
get-global-proportion" V; P2 N; u2 R( G" V- J+ @
let trust-value
! K1 U( Z7 _9 Y8 a1 Ilocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
2 W; m, v* ~9 U* U$ r$ T8 [! gif(trust-value > trade-trust-value)
$ r" N$ u w% Q; O9 k0 i9 O[set trust-ok true]3 y2 U; F. C) F5 F! j5 d$ _
end" |5 ~6 U% ~' i$ U$ z6 A
9 j4 C$ G6 g( E( E" M
to get-global-proportion
& t& K& ^4 e) F$ C' _$ wifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)7 m$ l" y& \( @6 ^; ?
[set global-proportion 0]" `8 z& |! y6 T, |+ g, z& T9 c7 @
[let i 0
+ A- r6 _% L7 i. wlet sum-money 0$ w' h9 l2 D1 t- c7 z
while[ i < people]
9 a& A" o" x2 h& f+ `, K. _[ j! i' m& |4 H; C
if( length (item i
- ?- }4 j' B/ o[trade-record-all] of customer) > 3 )
9 M2 {$ i! E& [4 T[
$ ?' }2 t) R* `' n. hset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
% p" k* y' ~3 A6 O% G. D: Y]- ] N5 Z5 j$ r3 m8 g+ y
]
5 m$ v7 E" Y8 |let j 0, {6 a% j4 m% E5 n- F: N: F
let note 0: p$ d, k" A8 Z _5 B' s u
while[ j < people]* {+ r0 S2 Z4 x# m( ~" W
[
8 M" E- d0 w% J" K3 }. Lif( length (item i
& y& \* v+ [+ [: u[trade-record-all] of customer) > 3 )
/ H6 `6 h4 X3 `9 C& C% j[# ]/ g4 i0 o' g9 y/ z
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
% X4 d0 ` i, |! C( c[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
3 ~) Y: j9 f9 y[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]- @- s; K$ F8 ?/ p( E% P. `7 ?
], ^, a6 u& T0 I) l0 d6 H( A
]/ T& w+ k7 r( Z$ |, K# `% Y
set global-proportion note
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1 _$ L5 m7 E9 J2 H9 j9 w$ U' p: xend
4 v$ _# h1 j* R' f3 ]4 l, i2 I+ m3 Q0 @# L
to do-trade
7 `8 D. b# ]! p5 q* s! X;;这个过程实际上是给双方作出评价的过程4 l- s3 u2 P Y% I% O+ ~( l- g
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
+ d7 [5 _/ W$ x: M+ Lset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价+ a1 _0 l) m. g
set trade-record-current lput(timer) trade-record-current
1 D/ I* ^9 a8 P8 U;;评价时间4 e& D, \* J) E: l# ]/ Z
ask myself [
2 A$ E/ H; s, v# h/ c7 qupdate-local-reputation# {7 c6 h2 D% ?, S9 a
set trade-record-current lput([local-reputation] of myself) trade-record-current
) {) l. D' C7 [6 v/ k1 l2 E]8 F+ l2 l) H8 d
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
/ @6 e/ s- E! l+ b8 p0 i;;将此次交易的记录加入到trade-record-one中
0 b6 e. J) Y7 f% J7 |2 Q5 L2 sset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
" N; [; c% o" t, Ilet note (item 2 trade-record-current )+ C2 C6 `( ?. t8 W
set trade-record-current* B. S, D5 |0 I( ^$ k' q7 H5 c
(replace-item 2 trade-record-current (item 3 trade-record-current))' p9 i2 K1 Y l
set trade-record-current: S3 X. q0 |$ Q- H* o; t3 G* d
(replace-item 3 trade-record-current note)
; w. B t4 b/ ~% }, i1 n
4 V8 ?* z' p! n, F' _- ]
4 v& ?! D( u) }4 s9 W0 I- D! }ask customer [: P( T% z! G6 L, U; J M
update-local-reputation
/ d4 y2 e) n$ G; _1 J9 xset trade-record-current
+ a( ]7 p. ]" W5 j; H# Y9 O' A1 N(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) % P" o8 ]+ } a* g# V
]
2 {% D' J5 J7 w" t; T, _
# F% x, U1 W4 `' j
/ B( k: f) K2 Q0 wset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
# A9 z& y. ` Z
* |! n, C( b" z/ \8 {# R% P& Oset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
; D* B& \8 @) V L;;将此次交易的记录加入到customer的trade-record-all中
7 G& p1 ?9 C. x+ x; a( Oend
% R' ]( X. Y5 v! r3 e) U& B0 e
5 j$ J4 x' I0 ^4 r Xto update-local-reputation6 p4 P) e( ]% ]- w6 {" q6 m
set [trade-record-one-len] of myself length [trade-record-one] of myself
; a! ]9 X+ Z1 p- s h
u: I1 u, B- Y6 R' A
5 o+ ^4 ]6 B$ i+ C r* {) t$ U$ [;;if [trade-record-one-len] of myself > 3 4 ] B' X9 Y5 I! ]. G6 `4 W
update-neighbor-total
1 E% `: A! N$ T; ^. w2 L. ?;;更新邻居节点的数目,在此进行
% V* [; J8 `2 Alet i 3
8 L! ^+ I& w9 V h3 f5 Flet sum-time 07 u% v; C4 b9 h
while[i < [trade-record-one-len] of myself]. u2 ^1 P' J# x% T
[
% F7 ?/ W6 t4 l* C9 \- Cset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )- B+ N4 o2 i5 k: H' F! }
set i% a( O1 Y! N& A8 N1 u
( i + 1)$ U( ~* x Z9 \ b3 {2 K4 I
]) f& L$ o! q: R* L( z" T+ N/ |, z
let j 3$ M( w- u5 c7 L/ Q# t1 l* y
let sum-money 0
; v/ y2 m! _+ }: _: xwhile[j < [trade-record-one-len] of myself]
2 b7 c, \' r- C2 H+ M7 j[1 d7 _6 u- {! N0 ~
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)
* ?5 A3 ~+ d# G# z$ U: Rset j5 G: d; T& z: _6 A
( j + 1)
, ?3 y- q) \, ?# z8 c- F7 E& V]8 z0 A7 h0 D0 ~' p
let k 3
0 ?2 i) D; b! olet power 0- g$ d) D1 f3 g o( m" x$ a& |; R
let local 0
7 T- k( \* G. s9 ]% jwhile [k <[trade-record-one-len] of myself]) S8 q7 Z( L: I0 t2 K
[
2 ]& m* ^" g0 Y2 b. h' Nset 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) 1 s& r! j" j# k' \, U5 ?' t
set k (k + 1)$ C% J% y& [0 u$ B6 ]. @3 U
]! H5 z1 Z K! O+ d* n
set [local-reputation] of myself (local)
" n* P0 k! |5 Rend/ p5 k+ g3 k+ A6 G" n% K$ B
- h. y3 d' H, j; Fto update-neighbor-total
0 | v* V% h( Q7 ^" |
5 b0 T W, ^% M) m/ E3 g( Lif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
& r5 Q9 W0 \) ]1 U+ t+ R" Y
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; s; ]( ?4 A6 R' M8 |end3 {! ?4 d2 T1 {; P0 B5 V: \
' J" Z" @6 M+ M: L0 E
to update-credibility-ijl $ C' t" y9 i) N2 t1 \5 `
4 N# e" E4 f+ z" h+ f9 I
;;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 j; U2 }, t/ f/ q" wlet l 0
4 n" t: _ r, x8 X* H5 x. Twhile[ l < people ]+ r( `. |1 m1 @6 C& c" P
;;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- L( c, U" c3 R[: e$ N4 W/ q% h* t8 p! W( I& c
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
$ J* A3 k3 m% Y5 }8 I; Sif (trade-record-one-j-l-len > 3)
& f3 ` F3 @! G$ S[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
( y8 B, C" ^$ A% ]# Elet i 3' {9 _5 X- b6 p. L
let sum-time 07 j" J3 m. v$ w. Z. g: V* A$ W, s
while[i < trade-record-one-len]7 g& n- @% @5 C2 t
[6 N2 W5 T: T# H6 z
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
g6 t4 K+ m0 m. O: D1 uset i
2 X2 s4 k+ C: u7 |( i + 1)
" P! G7 d% i1 []$ D Y" m! B4 E
let credibility-i-j-l 0- i7 r% d3 f' H" r* A3 E+ }
;;i评价(j对jl的评价)! _6 C+ v9 v9 [1 D8 p4 D
let j 30 \( U W# n. |! ^
let k 4: U+ @, m- {' v) Q/ F
while[j < trade-record-one-len]
% u( G9 D3 L! Q3 m/ z. H[ r2 H) @/ X: e6 K$ A) H) D
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
" n1 H; M2 j' O9 W0 F0 iset 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)
4 A/ V3 n6 U$ Z# a9 Q2 i. ^set j
3 M* _8 Y3 v4 L- t( j + 1)! y1 j- z Z/ c( H, N' ]) j
]
+ F8 V0 O. p k- gset [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 ))
2 a/ ?) j6 V9 c0 v. a
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let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
1 S; F, c0 h# q# o3 P5 m9 a, T;;及时更新i对l的评价质量的评价. J: r) Z$ C b( r. d( X8 k/ Z
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]; w( e, j2 `% _8 ?0 C
set l (l + 1)
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end' E' ~. h/ S. v+ Y" l$ K
) Q# b1 ~4 T/ X9 ]" a
to update-credibility-list4 q* d, |7 H, i$ J6 f
let i 0
- F" K9 l d* o' Ewhile[i < people]
. J: q) f: ?2 {; [& X[ m, b/ i/ [ k8 W W7 @/ A5 _
let j 0
; T: J9 f) }# Elet note 0
" u4 [6 W- k' V6 ^8 v( |6 Q6 k: I& alet k 03 a9 p$ O [; H; B) h. t
;;计作出过评价的邻居节点的数目
$ f6 i: m) q* V" W7 X; Jwhile[j < people]
! K2 k: t' V* R8 s8 C; j: {[
- t% p, S @( h( q- x- u2 R% ?if (item j( [credibility] of turtle (i + 1)) != -1)
* Q. P1 f5 y& g; l" b;;判断是否给本turtle的评价质量做出过评价的节点
* R( ]8 K# z4 {- @( x) z[set note (note + item j ([credibility]of turtle (i + 1)))
) e% o( L! O/ h5 E H2 t3 N;;*(exp (-(people - 2)))/(people - 2))]
2 L0 F- ]3 v; @( z/ P; R3 uset k (k + 1)" x% L8 }- u: H/ @0 h5 t& |( N9 q
]
1 a' U5 l' Y) u6 D- @1 ]1 ~& Z/ @" F' yset j (j + 1)
( j( ^2 t$ t( ], E2 c$ }], v o# r4 x8 c( I6 c7 R5 T g# x
set note (note *(exp (- (1 / k)))/ k)0 d# X% j5 S+ @
set credibility-list (replace-item i credibility-list note)
9 c! ~& [' ~$ S' k5 tset i (i + 1)/ b# X* e- f6 X. t( z" x
]4 C* M% l6 w6 O% g: ^1 o' t! Q
end+ t* i$ e5 J2 A1 k2 |8 [
% r( H( L0 ~% ~. P1 O- B/ K' T: J
to update-global-reputation-list
% Q* \: a& Y7 Rlet j 0
; I8 ]( |* O) X8 \while[j < people]
) k( R( o. k0 n! M[8 x7 K/ J. S. ?* k3 N: U. l# |
let new 03 O" C" L5 b3 p6 \
;;暂存新的一个全局声誉
% u, R. j! V3 m' q$ i2 Flet i 09 i W- T2 t0 \
let sum-money 07 g8 A# m4 T" r0 I
let credibility-money 0* [# R( [, e; p
while [i < people]
- j+ |" l; D3 ^[
% L2 W! _" L0 j- q2 C Fset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
( z M3 ?# x* I. I* M" N; U/ _set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))3 V; S( ] f6 Q+ F! f, F' k
set i (i + 1)4 k% |5 I# {/ h8 T9 u- }; ]: Z
]& J7 Z( K; z: g6 \ Y+ V: W
let k 00 H) g5 b7 _$ a# @6 y* j/ W
let new1 0
. c Z$ q3 L+ W4 P. K Wwhile [k < people]1 T4 b# V1 l: R8 R0 s- D! k: M
[
, d: A$ v' R6 j V9 j9 s; Pset 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)+ v; E; }- Z# P6 _8 d- c1 D
set k (k + 1)
# v$ m! Y+ z* f" X) f& i& C]
) A0 ^, m7 {7 z' W$ Gset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) # A' X* ~3 T" y; f( B6 ?6 p
set global-reputation-list (replace-item j global-reputation-list new)
& Y; J M0 E b( b; g7 _( b' rset j (j + 1)0 k9 d' Y& Q$ f b* Y6 K2 i, D
]5 y) w+ u! Z, j% b2 c. Z# J
end: f+ h' b) ^, {( g- ]8 p U
3 P! i( O; ]/ j0 c# l* b/ D8 {2 |( c8 m# @: [" E
1 U/ c- a! A; S& m& \. z, _to get-color
E, m- w" |/ D) E! e q
+ h0 ~7 {- b: E0 P5 oset color blue9 }9 ^! h2 W9 b, ` @2 [
end7 N( y. N$ z( o6 n% _
0 i* }3 \8 z' Y
to poll-class
& b9 r) h, U# E9 Dend/ a% M5 M& X$ a; w0 N
! J/ V) ~+ P6 Lto setup-plot18 f* ]6 k1 I( C- N) J8 d
( \+ r+ @* p, s Rset-current-plot "Trends-of-Local-reputation"' W# K# r8 X% ]5 K
7 O& F" `0 m8 Q0 r+ G' u! h* Tset-plot-x-range 0 xmax+ C) w+ m" V0 d" n
( @% ]! c+ z: Q' @
set-plot-y-range 0.0 ymax1 C: X% N- \2 r* Z
end
3 ^0 ~7 I* _6 v- F$ q2 q& B
) Q: S. v/ Q2 C X/ j" Ato setup-plot2; M; i/ _2 ^. Z( {
# a X% _$ ]: s8 H! }4 Jset-current-plot "Trends-of-global-reputation"1 L/ T) j8 s* P% l8 l8 M) q3 j3 ~. I
" g% {6 K' V( _7 \5 ^! Sset-plot-x-range 0 xmax' _$ L' L9 t) X2 ~% n
: v* B# f# ` ?" U6 ?+ p4 y
set-plot-y-range 0.0 ymax e' ?' ^" l* V3 f8 o1 j- Y
end
- H' y3 l$ }) x* p' m$ Q0 a* v7 V3 q V6 |+ ^+ x8 A+ {5 U* W" [
to setup-plot3) a/ A, @: U1 t0 t8 A1 j4 w4 o4 O
- {+ ~, t! J! n/ I' t+ sset-current-plot "Trends-of-credibility"
( P P5 A9 B3 o- W' |/ n5 p
2 i2 K5 Z5 b- W( y/ `set-plot-x-range 0 xmax
. Y4 ?+ i4 z8 `: ?- ^! o( |6 \
" j# q9 B: c' q) eset-plot-y-range 0.0 ymax9 H7 ~* U. ~8 D3 P8 f j" @& ^
end& V4 G4 V- r: Y$ K( ?% Z
, C2 _% D L9 b2 ^, [5 i% B) b( {
to do-plots* v* f: `# K5 |( ` P$ a' j% x
set-current-plot "Trends-of-Local-reputation"" C# M# d7 E1 E/ o
set-current-plot-pen "Honest service"
9 s0 S9 ^5 c4 Q8 bend
* e: W; h9 y+ z9 E/ W3 S7 y* W: j% L/ ~+ y) w# C" n7 x; e
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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