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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; p* v; I o0 P: j) K1 t6 p. t9 g
globals[6 V# p$ F$ S5 f" ?( `! V: M) S# k. K" S
xmax
, I Y& r4 ~& }. E5 oymax
' L! Z4 ?+ L5 E% e9 Rglobal-reputation-list. F' o& O5 g0 s- a' R! `
$ V {, _4 w* G- `! r
;;每一个turtle的全局声誉都存在此LIST中. x! ]4 _: r3 b0 v; R
credibility-list
+ G( }% w- E7 r! k* R;;每一个turtle的评价可信度
" i; N! q8 ]" dhonest-service
$ r. a; h. X6 T' K4 P8 N) ]3 Xunhonest-service
' ^* \' Y- o4 ~oscillation
+ G2 k/ B2 F# m/ crand-dynamic
" L' L* {0 E/ Z& E]
' \* t; s# j$ b' W; i6 R: j9 t% @; B
turtles-own[0 f. F+ v6 D2 ~) X) G
trade-record-all6 ?' ^8 ?: i7 z# \$ T$ r- T
;;a list of lists,由trade-record-one组成 n Y+ B* G+ I
trade-record-one
' r' z7 D9 ]) H6 t2 I3 o; 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
1 [4 {2 Z$ r' q( @) K }
( {4 ?7 q' _( H. z. q; b7 E. o$ P9 k;;[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]]
! {+ y$ y( r! v! u$ V# o9 Ktrade-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]( Q! \$ `* c% _6 m- U
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list4 ~/ \8 [( B8 u" v( V
neighbor-total
( ~3 R( { o0 G! _; W;;记录该turtle的邻居节点的数目( f) m( K# r" i$ n5 R7 U$ `
trade-time8 F: N8 o/ s( D+ A4 a
;;当前发生交易的turtle的交易时间
% [" Q) u$ U" ?' x# m4 |appraise-give0 ~, G* S; e" j9 n( F r1 ~/ f+ h
;;当前发生交易时给出的评价+ F" y: E0 V/ X" Z8 u! h5 j
appraise-receive
{2 w ], {( R: v0 {: e' p- R;;当前发生交易时收到的评价( M1 a. ]5 h" N- [
appraise-time
5 |: [+ [4 Z1 e. K {, N3 W;;当前发生交易时的评价时间
s) @' B9 j, O! n9 ]- Flocal-reputation-now;;此次交易后相对于对方turtle的局部声誉* I! }: e1 E2 ^/ Y- o: M
trade-times-total
8 ]$ C( K- I9 A/ ?3 E;;与当前turtle的交易总次数4 W2 I0 W" S5 v) N3 y+ ^* _! Y
trade-money-total6 p9 D! E1 p" D( c
;;与当前turtle的交易总金额# L. z, T9 ]7 ]7 [) Y0 a R
local-reputation
$ w9 B" a0 D/ \+ X4 d) tglobal-reputation3 s" {( }0 I& f! I5 l
credibility
1 ]0 I# [5 p W* M) X$ F6 W: m+ W;;评价可信度,每次交易后都需要更新
# D0 v( N3 X4 ~4 O/ ]* q+ Xcredibility-all
! r" w& k9 l' p g2 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, x6 Y/ u7 K3 g) e
% j) N+ R6 [7 j1 k; ?;;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
" E" n( p1 l0 e+ e& v8 J# _7 X) Kcredibility-one( A+ |2 [$ p1 y2 Y# r8 s, 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
C* A" h# l Y! A/ N2 lglobal-proportion8 B9 i# V+ B) B
customer7 C& }3 h7 j$ e& r( \( g' e
customer-no
9 \* {' a1 f8 f- X) }* ?' u* F9 Otrust-ok y; J( q/ v- \& \2 o i1 \& m; |
trade-record-one-len;;trade-record-one的长度
- l6 K6 I! G! S" v$ t+ v]3 @3 B4 [0 S7 B
* t0 A; }/ H4 U, e) {& ~' C& S;;setup procedure+ ]4 U8 p6 }% l2 N# c
% S' [2 g4 r8 D3 \: {7 nto setup
6 C6 V& Y$ ? B
: g! h! _. r4 k# u4 nca! v! B# ^1 x! U/ I+ O! y; ]
: [! p4 t4 d6 l; |initialize-settings
$ K `, H' x+ K6 K* ~, q
6 W0 l& t" I% g C0 Tcrt people [setup-turtles]- g0 D! o. C5 P. K; _" y" N1 n2 O M
' m) e- w4 f/ {reset-timer0 p2 K/ r1 H4 c& I2 A
7 G& e! E' U6 fpoll-class
2 [+ v* ~' D3 }7 c, \1 N0 z& @
; Y: O% ]/ q( N4 Tsetup-plots b$ q. L$ R6 T# a+ X
6 [. d! W# }* s" tdo-plots1 @' H7 J2 V! i: ~* m* I& U d8 `
end
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+ ~+ {! |4 M# ]& a7 g. b' {to initialize-settings8 w1 F3 z. o, F6 v X
: E( }0 r/ v0 x1 h1 b9 K0 p
set global-reputation-list []$ \2 C8 }, {4 R# |4 a
+ K& |0 d X$ T+ Q
set credibility-list n-values people [0.5]' U0 c! q3 I/ J8 L& F' J' t, o
* Q2 {; A9 j! Mset honest-service 0
+ p: X3 M8 s) [, g& K5 L0 v
, A g/ [. ]' Z- iset unhonest-service 0
8 p+ K% e# ^4 f1 {1 \' ^3 z) m Y8 L. }; x& B
set oscillation 0
1 V6 s! z* n$ w2 @- t/ X) t
5 W: z7 V+ x6 P; h" fset rand-dynamic 0
$ F5 X4 X. s3 P/ }( yend1 W' B/ @( w# d6 W/ t) B, L
' ]; X& L: Y* A3 Oto setup-turtles ) J4 e; r% V* D6 U* J! |7 Y
set shape "person"
$ T" ~, i+ b6 W2 `4 l& |setxy random-xcor random-ycor" {' l: }& m& R) b' c! |3 G, U
set trade-record-one []
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set trade-record-all n-values people [(list (? + 1) 0 0)]
/ t: J) B$ J* Z+ D! C5 k$ @
3 K' w1 C( N9 v3 c7 }# H9 a0 ^( }set trade-record-current []! j; r: s& ^6 c R$ I# ]/ S' ~
set credibility-receive []
i; M& z1 H3 N% D- z1 r! w1 Qset local-reputation 0.5
2 M# E4 S- U! g2 i6 u$ p2 Z& \. |set neighbor-total 0
& z' T9 ^8 I! a! B+ l2 ~; eset trade-times-total 0$ j) {; V: O' z1 |- o$ c' |4 l/ ]
set trade-money-total 0; |% Y F% G- X$ Y3 _+ |
set customer nobody
1 d% a1 I0 Y" _+ } q4 jset credibility-all n-values people [creat-credibility]3 p5 `! }. x( L6 k1 ?: j% S
set credibility n-values people [-1]
/ H' i, K& R" I2 x' Aget-color8 ]7 H, K& q& d, _( d9 \5 G
2 s/ \6 \* R9 k% J1 rend
- X# u& i$ F; M: S U5 E0 Z, B7 a' M! O: P
to-report creat-credibility$ I! ]( z/ k" I8 b( G6 {+ {
report n-values people [0.5]
$ Q3 |! e) }2 }" eend
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, p, g& }; G% E, F: I1 g9 Ato setup-plots
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2 ^# `/ d' A3 Bset xmax 30
6 q1 }. Q+ C5 \6 I
% A' F! g3 E- R8 jset ymax 1.0
# b) @7 x! S% U, N& r; b8 X4 ^0 F$ R& y6 n, u0 X2 z- P
clear-all-plots* V& i2 t+ o* L H* s a: \
# i$ G( E( E3 X6 x) |) |/ @setup-plot1! x; L* g" @( S6 A' `* R9 u. d v
/ ~3 R3 U! C% T! h0 t: i
setup-plot2
2 k* l8 F7 G1 x+ N* F6 x
% [1 K; u0 r2 ~& r* Lsetup-plot3
" z- A( q2 q$ d) q0 ?/ i7 [5 uend
$ E- A( V) N M2 \* [8 g- p8 B7 w% Y* C
: b- ~) J* q3 I' t: ~8 |& E" Z;;run time procedures# i/ W8 k' ?& L* u
G2 x2 X/ @# M1 v5 I; X" sto go3 a: S1 V6 I1 @- z/ R
; u& |. G- w" D3 t: C5 d, j
ask turtles [do-business]
: E& H( N- E4 `1 Uend
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8 B: I; b v8 d. u. Q& y( |3 Dto do-business
$ H7 ~6 `" B- X+ N: i4 V6 U3 e* n) X: `7 ], w3 K/ F- j! r
% H: M0 \- [& Urt random 360% ?2 t' [/ k- O0 m) Y
$ j2 e- y8 t+ ]/ B, ^3 U4 c
fd 1
* \4 d5 V2 z9 A1 q- m; o
5 U, a- K6 k& _9 L. V* ]ifelse(other turtles-here != nobody)[0 x3 F; i( K; L: z! k# p
# [9 p& Q9 \; P/ S
set customer one-of other turtles-here
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" c; V5 h( B W;; set [customer] of customer myself
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set [trade-record-one] of self item (([who] of customer) - 1)/ h# L" v0 h6 I
[trade-record-all]of self
2 K$ N7 K& L& h;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self) Y1 ~+ P, F) ~0 i9 B) E
! \: `! c, n3 H' ~3 @; @! q: M! xset [trade-record-one] of customer item (([who] of self) - 1)
/ ^ d7 }/ g; z/ X% t[trade-record-all]of customer
8 R' o/ E. p# l5 ?
! v' w9 _9 U ?$ |set [trade-record-one-len] of self length [trade-record-one] of self
( N+ `. o" N* x& N9 q
* V- a9 w1 r4 @# B0 \1 p( [! K& wset trade-record-current( list (timer) (random money-upper-limit))
0 d; g+ r% \' K! H) C1 n$ j/ _1 Y0 x, E, b* \
ask self [do-trust]5 b ~. ]# E2 z& N
;;先求i对j的信任度# K5 A5 P2 f6 b9 Q) Y5 U
7 e5 g* R' G; Dif ([trust-ok] of self)
) P2 A$ m/ Y% j% p6 d;;根据i对j的信任度来决定是否与j进行交易[6 P5 W( U3 U9 j
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself4 l h! e' y! s- I# S
8 f2 L* v2 w8 o' s8 \[2 c( B+ X3 b6 H+ W# x
% q( D1 C5 M# e$ M
do-trade
' ]2 @; H' Z* Y) L( t7 C6 I) [
$ |* C' z! O4 T: G+ f4 `! [update-credibility-ijl
5 t" F8 E* i; o$ j+ E3 X; O, K
! F8 _& W$ p, Vupdate-credibility-list9 q: e8 T. B/ X2 V
+ ?% N u/ T) l8 b1 B, J( |- r) v8 x! D, Y- X9 J
update-global-reputation-list) J% f! J" ]' T6 |' S7 ]
2 m, C2 g3 F T1 x% `. Wpoll-class+ s7 x/ Y' G. B5 d6 e' }
* k& Y& Y' A* O; y8 I a0 Rget-color; V& S$ t# \: }% _* A
% v( {7 f$ z* ~9 o J
]]
! {, w' j" I2 S1 O6 F
% k$ t6 G2 s. p2 N$ [% f: U( R;;如果所得的信任度满足条件,则进行交易% R8 K% K7 I1 S4 w( w5 v
( t5 z8 k- t ~& ]# b9 V9 E9 f
[9 P" O7 G6 r* U; B" S# L! K- ]) \5 `0 V
" Y. s; g# X! m8 [rt random 360+ M0 y t+ H& J! U' z
; j/ U: u! Z' e9 l: y ^$ v7 Q* \, mfd 1, w1 K. e5 w& P/ r
* }0 d. z% _) C8 L. R" ^7 o
]2 s* U; @; W: ]0 k
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end/ I+ ~' T' {" k9 K) e
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to do-trust # m- T- o/ G6 ?, @8 v6 b
set trust-ok False1 a6 s# j( t5 m( L1 V
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2 p) r( G: U; G+ T4 a, V
let max-trade-times 0
. O/ ?0 d' K& X7 Q/ Y8 p% G( Bforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]) M) x! Q' D; h
let max-trade-money 0; C; A- Q' a% F5 n& v9 H+ U6 g9 n
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
: O) t* Q& O8 X) b$ F( l) @( Jlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
+ L5 x3 _; j# h) s* g4 i
2 ?9 \% R6 |' ~# v. i& `) j. `! i
1 {5 o! y" \8 O2 m. T: l& O. E; xget-global-proportion
/ G' D e4 {; G! _$ t A$ dlet trust-value
. t" Y9 {5 N) J1 G( c4 ^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)5 o1 ^- S* ]0 q$ o- N. B
if(trust-value > trade-trust-value)
( R; W5 \- e! n1 C3 p% g[set trust-ok true]
' E: g* {6 H4 X& }: ~end3 V0 p* @# }( n
. j2 R" v. ?! \to get-global-proportion, q% Y* d$ b+ J' O
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)' S2 v6 V7 q7 B% k4 m% B
[set global-proportion 0]1 y% a# u& i$ W8 d; p% X
[let i 0
& ^$ j3 D& T) q% a; Y8 Z) ?/ E) Klet sum-money 0; d% ]" Q# r, S5 z7 Q) k
while[ i < people]
6 h/ |6 W$ ~& j9 | O[, Y* z; i& R' o, `
if( length (item i5 U! ~3 i: ~* O8 D/ ]; f
[trade-record-all] of customer) > 3 )
& j. E+ T2 g9 N/ X& Y/ X[5 Q# |3 T8 B1 E) r b6 t
set sum-money (sum-money + item 2(item i [trade-record-all] of myself)) B! h; w Z4 @* l" r% m
]) o1 G z, a/ v2 f) y' _
]
9 Q. ]. r- B& x6 Glet j 0/ f% E" `& `4 T; M/ P. v
let note 0# p+ Y' s& [+ l
while[ j < people]
: R7 u5 S/ Q8 U5 @2 q4 @' D |[7 C u. V5 Y. {- _9 F
if( length (item i* p) E1 _) S( v U
[trade-record-all] of customer) > 3 )" e; V* t0 v; h" d) V8 a
[
) @! N7 l, w% m4 I( ^ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1) G3 ~1 c! }9 D( g! _! Y
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
4 B6 D" H, J: o- ?# C[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]) w# {) w8 _0 M# k
]# ^5 _6 e6 _7 S4 b
]
7 K) h) o9 P9 mset global-proportion note
0 n5 L8 p( ^5 Y6 P/ w! }" g: []; }" |" t5 T# f- X5 ?& D3 q2 p
end
; B7 f7 h' M0 `4 ]( Z. X% C
$ E' I- f2 V" ito do-trade
3 a8 a+ x5 @4 v( w;;这个过程实际上是给双方作出评价的过程8 [4 @2 p) y1 Q T; r; K! _9 I: y' V5 `
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
6 }6 J2 E- E5 R! g1 g& K4 d, ~set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
# F( P& ^6 C& z* |' Y: {+ \set trade-record-current lput(timer) trade-record-current
R# i+ z. J) J2 ~;;评价时间
( e6 A/ N6 z4 c+ E' Oask myself [
x! p% D) Z2 h$ \6 a/ Dupdate-local-reputation6 p$ v2 Q: E; m
set trade-record-current lput([local-reputation] of myself) trade-record-current( W; J5 I1 Z# z0 X% Z/ x
]
! R- b w2 V; n d7 ]" u |) qset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
. L' H. E" j$ B. u;;将此次交易的记录加入到trade-record-one中
0 n( k# r1 j7 a, X( I' N* gset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)5 q$ _& L) `& N' u- \1 x% G$ i
let note (item 2 trade-record-current )6 i4 [% @* i" Z1 E5 h
set trade-record-current/ m1 a0 z+ e% M+ v% h, h
(replace-item 2 trade-record-current (item 3 trade-record-current))3 g% S6 G4 a8 Y( d7 K. L( J1 f, `" R
set trade-record-current. b, U! G) f) d( p: p3 {
(replace-item 3 trade-record-current note)
$ [0 a' |( u5 W7 b# ]4 R' _6 e6 k6 [* w0 }+ H* q1 S
6 T8 Z6 _) C7 R8 [* jask customer [5 ~4 L) Y! s2 Z' r* t1 P( T" [& D( |
update-local-reputation
# ~$ I4 w9 R8 I7 n- Cset trade-record-current
2 j2 i* P d$ l+ c8 ~0 w; h1 y$ n+ @! c(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) ; G: o6 g, t; p; n# u( K
]
* z- ^8 W& K9 _; @, q
1 j2 u+ t9 g9 W" a
8 ]# X+ k# U! j; X$ [& M5 y# Oset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer, G6 R! f5 B3 }
) R4 m- T' A. {9 jset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))5 s0 v& C4 X/ i
;;将此次交易的记录加入到customer的trade-record-all中% ?4 d# A5 ^! G8 v( l" ?. D
end
9 m. R l; D! `! X8 ?
6 \ y2 f: a/ F9 _. V1 a' Q) Ato update-local-reputation8 Z7 f0 U0 @; n/ Y* s
set [trade-record-one-len] of myself length [trade-record-one] of myself. b" B+ O( b, @5 r" E7 ?
+ K7 f9 h0 G0 j' j+ ?- g8 s5 b" B. v5 E/ ^% `6 D3 G
;;if [trade-record-one-len] of myself > 3 0 b; _7 i5 o7 @4 Q2 X/ t
update-neighbor-total
+ u) d$ J0 x1 D% ]; t3 C" C9 L- B0 n;;更新邻居节点的数目,在此进行5 I2 D0 m) F- A, K0 z( V
let i 3" o1 ^4 v# C& i/ Y
let sum-time 0
2 i, f, U& X1 B, G |while[i < [trade-record-one-len] of myself]
; }# |1 i: i5 z' w' U" t& ^. |[
0 v+ Y& N1 L! }3 tset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
( i2 n' z! [% Mset i$ e* q! Z( {' q% A
( i + 1)
& Y* h6 f" a2 Q; R]. v2 O- ~' @: E$ L* P* n& e
let j 3
2 h" U }8 R- ?- I" g% Tlet sum-money 06 D( T1 q+ u/ L
while[j < [trade-record-one-len] of myself]
2 D+ X% ^* {6 Q4 p$ c- d: m[
( s5 {( w6 \; A( x; p2 e, m t; Bset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)' S9 c# s$ l. Q0 x& d3 H
set j6 c% Z1 s1 L: D' I& t
( j + 1)/ t8 m) m+ |4 ?) {( \
]
% i4 J: L7 L$ f8 p4 Xlet k 3* d4 v1 q2 ]! r# W9 p+ F! W" f
let power 0
- o1 ~4 p$ s, k# p1 E1 blet local 0- b) L" |' w4 e
while [k <[trade-record-one-len] of myself]
# S% ~1 W7 s5 o* J- s7 C[& Z0 Q! X* s+ ] b: j
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)
) r9 i) @* r7 t. @% X% Aset k (k + 1)
) J. K" @; R0 j. h+ E C]
$ J# {, e* f( g4 W* g$ Eset [local-reputation] of myself (local)
: c& L, L7 P9 o4 B0 r7 x- xend
: o- h# P S# y! T" d$ \
+ c/ U7 b- e& ^" \0 ^0 Q4 Qto update-neighbor-total3 V2 L& B& d( v3 l
% q0 S- z* R. D1 q) @if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
1 b! o- r$ F3 b' z, z( I6 T2 U+ B' Y" y5 R
) Y! W- E# n* F0 K# E; k; c& Eend
m+ U: Q; g4 a; ~2 }) h% I9 Q4 ? }9 N* _8 r
to update-credibility-ijl
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/ T( I& G, _$ B! O: E& p4 s;;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。0 }, G- A% @: Y& a# ]) U
let l 0
9 R# P* r) v- M2 J; @9 Rwhile[ l < people ]
7 R; l, C) p0 n. N;;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; T' |! y0 g, p3 O
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let trade-record-one-j-l-len length item l ([trade-record-all] of customer)- v$ ?$ H) H$ ~$ }" x
if (trade-record-one-j-l-len > 3)
, t. n% {" K/ o- 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, b* G7 [ p/ K
let i 3
8 z, f- R8 ~; D) p6 ]% |let sum-time 0
?) F" V" x- [( \% u# o$ {while[i < trade-record-one-len]
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+ X% H' z1 \. Y) i. sset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
& l- Y$ ?% i; Yset i' C1 z6 \6 K/ N' V
( i + 1)3 \3 p) J% k9 `0 {* Y
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let credibility-i-j-l 01 i# e; R6 |1 Q' r7 S* ?) V
;;i评价(j对jl的评价)
, H% \5 S% L+ B; Dlet j 30 Z8 y$ u) P! d; @) c! W, b
let k 4; `* ?# F x" j7 J: W
while[j < trade-record-one-len]
5 h- ~7 z$ v+ { B q[5 s- W8 I' u0 z& @4 X* l
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
5 E: R- g6 K* X3 F2 Fset 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)0 [) V \8 S' [7 V
set j5 f% P: v: p1 G s
( j + 1)( C& V6 m1 R# G0 D/ ~/ W
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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 ))+ P; F- Y9 m4 C/ p
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3 ]- J8 n+ w( J3 Xlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))' b% w' M3 \) o8 F K
;;及时更新i对l的评价质量的评价& [' b) S; s! l
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
" z) v- |# n: g+ pset l (l + 1)9 O6 m+ [" |' ?- r) \) u
]
" Q0 }0 `. [4 y/ n6 |end
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1 e- g; L. r# Jto update-credibility-list5 \& \1 I$ y, F9 L
let i 0
- [% S: N* Y Pwhile[i < people]
* \$ U7 I; M* S[
/ [3 S* E7 y- A+ b0 p1 [" n. A+ V# Xlet j 07 c8 ~5 J; }7 m/ O: `
let note 0: P$ ]) X* f5 Z" x8 m, C5 v
let k 0' [/ x. ^% c% G
;;计作出过评价的邻居节点的数目; \0 H0 `2 C5 N0 {1 m+ T. s( [: _
while[j < people]
, j6 `& N9 D0 c5 {( \6 l: ^% ]! a x, Y[
R4 V0 G1 n- T: g. _if (item j( [credibility] of turtle (i + 1)) != -1)* P1 m; j6 ^: E# y) [1 P/ D2 v
;;判断是否给本turtle的评价质量做出过评价的节点
, I9 R& H% N3 o6 i5 m |! ~[set note (note + item j ([credibility]of turtle (i + 1)))
% X8 Y$ y5 Q' ~9 F5 h3 k v, ?;;*(exp (-(people - 2)))/(people - 2))]: a. c( t6 y$ w2 U% A" v
set k (k + 1)( F8 i: j+ J* b& T3 p; r
]
: U% T1 D: Y+ O# v# n2 Tset j (j + 1)! Z T# q6 Q0 X% Y7 k, h' m
] e! a1 J$ ^# _3 H P9 I. ? m
set note (note *(exp (- (1 / k)))/ k)2 p/ j8 x3 |" u! i" p
set credibility-list (replace-item i credibility-list note)6 n$ G6 h) L, t$ |; H
set i (i + 1)
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1 M f) M) d0 j% lend$ t& H! X6 c9 L6 s. u' Y6 U
# y+ n7 f+ M! W( K6 T3 L8 _. \
to update-global-reputation-list* |* l% x: j9 l; T# `- M
let j 0
" _+ y2 R: @( zwhile[j < people]
9 s: i( `+ W; z; R5 R. @[$ W; h' [9 J& n2 s2 M4 C
let new 0
6 f a$ c7 I5 A2 P; V0 C1 Q( D;;暂存新的一个全局声誉
" q) V$ J m2 U( {2 blet i 0$ t7 v! }/ x/ u4 R/ o% J
let sum-money 0% O \7 A) B" i0 t& K1 }7 U# n$ C
let credibility-money 0 e1 m# o; N S5 M) j+ d
while [i < people]
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& M( L5 g# }' |2 ~, yset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))" y @/ H( S p/ H8 K
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
}; `; ]+ \# T3 ~0 p# `set i (i + 1)- L7 |3 G V8 Q7 M
]5 q. U6 P5 ~. B5 X
let k 0
% N5 Q& _, r9 Q4 s' alet new1 0( M1 Y3 e$ `7 i& m
while [k < people]
3 B1 ?* t' ?8 x$ p% f( F" K[
- b. d9 O, G- A$ Zset 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)2 G8 u8 ?' N7 ~( S2 H8 u
set k (k + 1); W# Y) h ~3 r: f C" J3 \
]; |( \: m% p, E% ^ U: S
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) , K/ V4 J; ?: @# m- @& l) Q) T
set global-reputation-list (replace-item j global-reputation-list new): ?/ E( I: d/ X
set j (j + 1)
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* T& X+ L `3 N) t7 H& x& Pend4 S2 G" E& |; i# {' E" @- B
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: b; {. R T4 a7 q8 a y4 U7 kto get-color
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4 e* F( j+ T7 y. D6 y8 L1 _set color blue
. Q! ?$ }& |; x1 B: }7 m( Xend/ e7 e' {+ Y9 L+ _
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to poll-class
) l7 T# l' w" o, Yend
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2 l& }' g- w8 g" Q- L: \to setup-plot1$ ?9 S; [8 w6 k: g k
5 A v' ^2 T- Xset-current-plot "Trends-of-Local-reputation"
& U5 a8 [$ \' {- P
) z! u* N" m$ lset-plot-x-range 0 xmax
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set-plot-y-range 0.0 ymax: F# S- K* O0 `& o
end6 H6 Z! h* [ O8 x. C
$ X6 H; O$ l, F) O. L0 fto setup-plot2
- ~2 Z. A1 m" J5 y# B2 _0 V' [# o& }$ C
' p4 W! _6 V8 X% J6 O" uset-current-plot "Trends-of-global-reputation"7 ]1 G/ Y( _0 x+ z: }) w0 z
( t5 F o0 u6 G/ G1 l7 Nset-plot-x-range 0 xmax
0 r: j& H, Y. z, U/ E! C; C* I! Z- V" f6 `2 T! r
set-plot-y-range 0.0 ymax7 ?/ |4 k$ ^) b& m: m. Z6 [
end# {# e0 g" f9 k$ |+ J, ~0 r) ^
$ D) l2 C) o( @to setup-plot3
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set-current-plot "Trends-of-credibility") F/ C: ^1 r$ e1 C- |: {
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set-plot-x-range 0 xmax1 h% T: G7 ^) w9 K9 C+ @
0 a( R3 D! b0 p+ v8 `) vset-plot-y-range 0.0 ymax
, o5 R: z2 f) \1 x) b. a9 {7 G. Gend" j5 [% |2 z% D4 T
5 i' P# Q t8 a4 X; Q s" S
to do-plots2 @: F& u% k: l ]- [
set-current-plot "Trends-of-Local-reputation"/ q# e+ n; }7 l( l! p
set-current-plot-pen "Honest service"
5 F8 k3 y E1 Q% d% ^. x9 m6 rend
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9 l& p2 g3 g: }- U[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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