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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 C3 b* H! L0 z
globals[
( D) f; i# }0 N; e1 Cxmax% i' G1 x2 {* z' D, u4 p
ymax! ^3 O, R2 C# E4 W1 p5 u7 a) j
global-reputation-list* b% n# h5 N8 ?/ `1 t& ]
1 G j7 x0 {+ v5 ?! |;;每一个turtle的全局声誉都存在此LIST中
9 `" E& M: i( p6 ]7 acredibility-list
; x% B& E+ G4 [- c% u6 V;;每一个turtle的评价可信度
% M. N0 M8 G8 @! L' v7 c: d) Ohonest-service
! l9 e4 s. |9 O& Aunhonest-service
4 [( D ~: i$ j' moscillation
+ A: k0 P2 @* E& [rand-dynamic2 v& u M) T l" E0 @' K
]% Q6 n& n* c) V: @
2 `% m ~4 W% O! ]turtles-own[3 K& z9 `, F y- i! u1 G
trade-record-all# O( u% _* Z7 E- [8 _
;;a list of lists,由trade-record-one组成
) \% P3 x7 S; Y$ ztrade-record-one+ F B. N6 r1 [
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
- A* \7 h2 m3 x( p8 e+ X* I9 c+ f% T" y- S
;;[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]]$ o% b, C; H: ?' v, g8 f% h3 b$ A
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]! R0 c% J; V* a
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
; f0 M7 q; C% g% D( sneighbor-total
9 k& w Z6 b# B" S( B/ S& ~;;记录该turtle的邻居节点的数目
" `! Z% {/ _5 c* x7 ~# otrade-time) W. F" O& h/ O; o: e) e/ V& _
;;当前发生交易的turtle的交易时间
$ O7 [* u: l" Eappraise-give
# G/ P6 d0 K' o4 ^;;当前发生交易时给出的评价4 E- z% y$ C, \
appraise-receive, N- Y T+ K6 b" S% Y4 E' a' N
;;当前发生交易时收到的评价* L$ ?! R. I: P
appraise-time
) o2 K1 Q9 }1 M( R% G+ n( B6 q3 h;;当前发生交易时的评价时间: \' v$ @$ ^6 q0 J8 d4 _0 ^. Y4 z" j
local-reputation-now;;此次交易后相对于对方turtle的局部声誉$ ]( w! Z9 J F2 M$ y! X9 `: P
trade-times-total. c* U0 w! G9 Y7 s' s" E1 F/ |
;;与当前turtle的交易总次数
$ c* s' L' d8 C4 Otrade-money-total6 p, O* S9 P8 m g- p
;;与当前turtle的交易总金额; M& {9 A* ?/ k9 x5 R+ n. Z
local-reputation
2 h g0 N& F# I' m+ gglobal-reputation; c4 \9 ], e* x3 K$ ` H5 s
credibility
5 V; L3 ~) _9 E2 J;;评价可信度,每次交易后都需要更新
" ^: }! F7 h8 }4 v0 Rcredibility-all
- Q5 @3 _& k1 V, T2 Y) a* r;;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
j! e s j. c; ?9 A9 A$ V1 k5 y5 y; x/ u
7 h- F% A5 j" ~9 ^$ G6 y2 N;;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
T; q, f, J7 ~8 m5 Scredibility-one
h2 ]8 I/ j6 E, b; s# X& e;;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 ]0 n; c+ H. W3 |% zglobal-proportion7 P. _, b8 H" Q8 o5 b( q% D' L
customer
; U) H+ l6 h0 m( t' W0 J5 kcustomer-no) Z+ E8 b' W3 B0 u6 T- h
trust-ok
. {0 q! j' P: g/ Q9 u. ttrade-record-one-len;;trade-record-one的长度
# ] {# b& X3 u! R0 t]
2 U9 x+ R$ ~5 v0 A; i: A* q( n2 R) P5 A7 L: e, g
;;setup procedure2 D* a `, l& Q6 O/ D0 F) Z
6 U3 }1 q6 F% l1 ^to setup
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, f0 ]% V! |/ m1 g% S5 [ a1 Tca5 z. b' n2 p! g+ L; E: y
$ [! k& v7 \+ w d5 \9 J1 ~initialize-settings
$ I; U4 h0 q ?6 S: Y7 F: o/ w" }0 `( Q" M+ p# t( f. O
crt people [setup-turtles]
% y( T0 g6 c0 D* o1 o
/ B* E0 y+ z' R2 I$ G/ kreset-timer
+ t; U# P/ n6 Q6 [4 t i; y8 ~9 g+ d$ p" s$ b3 ~( m# Y
poll-class
) q1 g1 \4 l# q9 \& f0 T+ ]. ~
! L4 I7 H8 C* Nsetup-plots6 @. G7 E/ V6 b6 V! N( k
5 K, A9 e T" P* ]/ h4 O5 H$ fdo-plots
9 X, N5 S+ n, Send
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1 B! y/ i @; G: F9 o/ ato initialize-settings
7 }: K+ i) S; T0 T0 j! @6 D
! U2 @+ v: c* Aset global-reputation-list []- S V# K# E4 v% g
/ o5 P2 o; i5 xset credibility-list n-values people [0.5]
/ I& M9 @5 `- m! _! G5 T
% Y, ~7 P* w5 H$ u$ O# ?7 O' uset honest-service 0
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set unhonest-service 0
) [5 d/ x- z* R5 c4 _% @1 f$ F
set oscillation 0
9 M% X" k7 Q% T0 J4 s, i6 K: B2 [
set rand-dynamic 0
- r9 ~7 @$ D$ _2 t# bend
8 ~* c* z( |& i, n6 G# d G7 K8 @
5 G4 Q4 E3 v/ ]8 d2 Nto setup-turtles % b( ]6 M7 ? n% D; z) P% V/ x; ~- f
set shape "person"
: @* @+ u% B, M P0 d* @ ?setxy random-xcor random-ycor
- a( T8 V: T z( G/ \set trade-record-one []9 u! a( ^% A2 x/ v& w- [1 g4 U
* S5 s& ~% m; `! ^( i( `
set trade-record-all n-values people [(list (? + 1) 0 0)]
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set trade-record-current []1 ?% t) i0 z: y: o: m2 n
set credibility-receive []9 F6 f* c3 j9 F; J8 z. Y g- G2 z6 }
set local-reputation 0.5; s% E) s. j% D
set neighbor-total 0
9 H" A8 X: E6 f: K; A: Nset trade-times-total 0
9 Y* T4 x3 @8 `/ q! O( Vset trade-money-total 03 A4 ]6 O9 ?! n0 y5 g
set customer nobody
' I" X: X7 e5 R" fset credibility-all n-values people [creat-credibility]+ P+ H- r) A5 ~) i7 a. M f Q/ H2 H
set credibility n-values people [-1]% ^* L z- ^- A8 f( e3 K
get-color% V# h; C) f5 x2 o: {+ j, p$ N( h
* [: ?! k) s& ^5 F2 ]# c* M* _' I1 V
end: Q* M& _& R* I
# n. I0 W$ _( K5 K& ]) tto-report creat-credibility
7 W Q, {5 ~" Z# wreport n-values people [0.5]
; K3 u2 N( K: G* o8 Yend- L2 o$ [7 S8 B" [3 V, o8 r$ b
- @7 u! K9 J$ a2 T* ~2 B
to setup-plots
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set xmax 30
" [: Z: t9 H O6 ^+ b% y1 {& |- f) ?
set ymax 1.02 a% ?' x+ e8 O( |6 D* Q8 K S
* {) z1 d( Y0 d& M' U: s2 j% yclear-all-plots( E+ c& [) f* V: l0 y
% k. H: C( W; P! q0 H, Zsetup-plot1
+ u+ v* `4 Q! E3 F _
& m! y, |( i/ B* }& D; u- hsetup-plot2, q3 i: y6 u. P4 D( d: L! H% N
4 \5 J+ `, u2 `+ @0 n$ x8 C
setup-plot3- ^/ V# w, u, _2 m1 D c
end
; K! Q7 o+ O, e0 w1 G+ v3 k( ~0 X0 `- q4 A: \; k9 e4 @2 g
;;run time procedures
j) v9 ^: v4 q& S6 m3 W" u
! O4 a8 J; `4 w6 wto go
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ask turtles [do-business]
. x- l5 H o4 Q9 Nend8 K0 K. d( v$ g6 W6 X/ Y0 O
1 |" K0 ~* f7 b' v* G! Eto do-business
' e$ P% o6 C k6 ~* _% ~
' a" p2 j: a; ^; r5 N$ w( r& S
" j# u% v3 e" J! drt random 360
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# O3 A7 f# m/ x& l4 jfd 1
1 F4 M0 I: h7 j n" [
! p2 n% Z* S- ~* y$ |; kifelse(other turtles-here != nobody)[
, `9 A' p+ W% [$ J0 b8 _
( c' \: \6 M; V* K2 v* a& bset customer one-of other turtles-here
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;; set [customer] of customer myself0 f9 Y7 [9 b9 N% Y
6 u( {9 V; D( W. M7 w) r$ aset [trade-record-one] of self item (([who] of customer) - 1)
% E# l# G3 G) ? W. {" r[trade-record-all]of self: y8 ?1 L0 D4 y( y% Z- D
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
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set [trade-record-one] of customer item (([who] of self) - 1)
" ~5 Q) ^& S2 m |( R[trade-record-all]of customer! [3 d/ J: v+ K2 l; b# ]
3 b' R" b+ A& A0 ?* U% Q
set [trade-record-one-len] of self length [trade-record-one] of self" v, W/ H: M; B* o! P8 {
+ G& L; o6 k7 E8 c! K- j. L
set trade-record-current( list (timer) (random money-upper-limit))
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ask self [do-trust]0 A. L3 F8 x+ V' z$ t4 T0 u
;;先求i对j的信任度) ~# e5 z+ ^) R% I* `) t
* f+ O: ~* {( a1 V
if ([trust-ok] of self)4 a% o5 C: k5 w$ Q+ z& @9 p
;;根据i对j的信任度来决定是否与j进行交易[
9 h7 u0 I3 }) M( aask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself' U6 ^8 ?* K. o) [) a
7 i6 _2 N; M# s; k" U- |' c[' N# [! e# ]8 s( n& Y1 }4 r
0 I+ g' q. p2 Y, {& Gdo-trade
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1 e1 y# \3 [0 q+ rupdate-credibility-ijl
$ [+ O/ a# d4 M
: ?/ e7 H/ J- E4 y. M6 Q! Zupdate-credibility-list
3 \3 R9 Y! ^0 a; P7 @" U8 f3 r3 t* A$ a2 l6 Q
- p, N* |& @* h( x' G) Oupdate-global-reputation-list
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poll-class
/ b; v' X3 V8 c7 U( H( ~0 c- t% A3 l! W/ B6 T" \
get-color% |' G/ n8 M, R2 ^# `. n$ S; H4 E
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]]
5 N: A1 T# n; @3 r) M2 M/ |) T& x% C+ @) l$ {5 Z8 D' \
;;如果所得的信任度满足条件,则进行交易# ]2 `* n) }) o& Q
/ f: G2 B1 f7 M4 z/ f
[9 g6 L1 F! N! V; [
) M# p8 n8 J* Trt random 3603 f$ f( L; _; b* z
/ v* r$ `1 g3 _+ ^- Qfd 1: g& x: H% O: G, X0 u1 m( f
5 y3 E( K( Y0 L% u& }) e. l5 M
]
( o; F# m; P6 i. F5 }
5 m" ?# R0 P/ I6 F$ bend
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to do-trust 8 v2 T4 ], ?/ y% ]+ e% g
set trust-ok False- L+ H1 @0 C; t/ h
+ e3 w6 v3 r7 \, w. Q- u8 @: s0 M7 s% s" I
7 o9 q( C% h; Y
let max-trade-times 0. F9 ^% l$ `2 o2 I& z
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]& @* J8 j9 L' J9 [7 |( T
let max-trade-money 0) w" t, N. O6 e( `
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
7 A2 x' O/ z& e0 `: ^' x/ nlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
4 I. ]0 ~* `. F9 L+ J$ x- C( U' u% n: @
0 b# J6 b) S6 n G+ P U$ l
get-global-proportion
f# f1 o) w( y$ ]( C1 i/ W7 ]let trust-value
/ T$ A' [0 D; x( {/ s; vlocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
# c3 s$ y% \8 l( t u+ W- f3 iif(trust-value > trade-trust-value)
* d( A# B1 W A d[set trust-ok true]; |' o7 |! w* B" f
end" M6 _0 W( m3 F J
; }- a. s6 `' w" S
to get-global-proportion" `4 @2 X7 |2 A4 d. Z
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
+ I+ r" G9 ~ q$ p+ K' x+ L[set global-proportion 0]
' m" o. m' s" d }/ \, O[let i 0# X7 |5 d r+ D; \5 V) l9 ?
let sum-money 0" v" j" c) y/ q: h
while[ i < people]
* o1 C# B$ g3 Q* K# r" l1 C[
4 \3 o' x! O& u& u+ H. Yif( length (item i6 ]: `) Y3 [6 c; Y, p' X
[trade-record-all] of customer) > 3 )
8 \8 I7 u/ {; @9 G* a[
8 i, q+ Q7 s, D: dset sum-money (sum-money + item 2(item i [trade-record-all] of myself))" P, ]( }- i) k9 S* \
]
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let j 0
5 X# B: Z& t! H7 clet note 0# N3 Z; `& a( ]* N7 ]8 ~ a, o# O
while[ j < people]
& D! [* S: J1 Y" V[
1 r1 G2 z1 c* N6 V0 u; P* Iif( length (item i* w8 z \4 Y, B) t# l3 f. ~; z
[trade-record-all] of customer) > 3 )9 C+ H+ ]( Z# |/ y6 z: \
[
( i ^1 m6 g, W' {0 A8 ]ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
! q0 I9 t. x9 l0 [+ u[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
" l, @2 b; F- o[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
4 ^3 ~3 W) D, @% Y]7 j$ x: W4 q6 h! ~8 `2 u
]7 K, _( m( h7 o9 U
set global-proportion note0 p; _$ L3 `3 t
]
" I H1 V! u5 _5 v n3 fend
' j6 j( M {7 k3 x6 F/ p! r3 d4 X7 Y! _" |9 `
to do-trade. B% }( z3 I2 u$ {2 ?
;;这个过程实际上是给双方作出评价的过程7 T |4 V0 q# i, X; d+ `
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
8 z, X! z# ]6 ~. f4 |+ B/ zset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价2 g3 f# M& I- v/ }3 D, M# _+ l
set trade-record-current lput(timer) trade-record-current
' N- z5 Q$ }5 o" [2 b' I;;评价时间- C, U! r: J8 B' h# x
ask myself [; l% \" J; {* k
update-local-reputation
) s/ R9 i* l0 u# l- B- c( @set trade-record-current lput([local-reputation] of myself) trade-record-current1 ]8 q' A; J1 Q8 C/ ]
] s$ w( f9 t# E+ ~% |$ B( C( G9 e
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself7 U$ P" ?" u/ g, e! J
;;将此次交易的记录加入到trade-record-one中$ u0 A; U0 l; ~' a
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself) e+ v) ~/ j0 b% r9 u3 n
let note (item 2 trade-record-current )) B8 \3 r( P: x# X
set trade-record-current
6 e' U: n. d8 z(replace-item 2 trade-record-current (item 3 trade-record-current))
3 v% s2 d* Q" q; yset trade-record-current3 [8 Y" F& P8 R0 ?$ N# x& a" P
(replace-item 3 trade-record-current note)
8 i. i! f, Q% I9 O" t0 @( F
) l& i+ }' J9 K9 O3 a+ L2 B
. G6 N& W" e1 M+ o' Cask customer [8 R# b$ j0 [. H
update-local-reputation+ e* I3 x) M4 r! @
set trade-record-current2 [' f5 S: j! `2 l: q0 B
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) - B7 u# k" j# b: N0 d9 _
]
3 O6 _+ E) G, O- G* ~2 S
4 z% N' v0 Y8 I. E, K( K1 `! I5 m7 K+ t7 J4 W( X p
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer3 @8 |8 ]8 `1 U5 z" P& j8 o
- ]; Z9 \& o8 O: lset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
- i+ Q' M" c2 @5 M;;将此次交易的记录加入到customer的trade-record-all中. L i7 R q8 I f4 F
end/ I5 | |$ o8 A2 O
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to update-local-reputation, P y: m+ c% {; n u
set [trade-record-one-len] of myself length [trade-record-one] of myself
/ x# D$ x* O# S& d w
6 ~" }* X# ^! E+ A: v A- |0 V2 B" i& l( T
;;if [trade-record-one-len] of myself > 3
2 j" k! b- R- k- ^ A# N. gupdate-neighbor-total; E7 D1 P; v; ~
;;更新邻居节点的数目,在此进行
3 G1 u/ A+ x% A2 Qlet i 3& ~0 }5 ~0 n. H
let sum-time 0
' Z x1 ~: G: X/ n2 Qwhile[i < [trade-record-one-len] of myself]: V i, p; e/ A$ Q
[9 H# s: I2 m! }) o" O
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )4 K4 p% V) W4 D! j$ P4 S- Z
set i7 ]" T6 B: B. d% Y6 Z! z% M, s' d
( i + 1)" a/ g& }2 e$ {4 f% w2 H, J! n
]
# v# w: ~" U! \* [1 Q4 G$ clet j 3
3 O) B- i. z! `let sum-money 0, O' m9 N1 y6 B5 t( [- ^4 T# r
while[j < [trade-record-one-len] of myself]
) M; z* ^# v( \; y: F3 f6 p[
& p0 _* p" U b$ z" A$ W: Sset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
1 \, ^+ x/ t$ a6 ~: w. \9 q7 r5 Xset j" k0 R6 P$ _" e/ `
( j + 1)7 x; V4 p k* F
]
4 `% M! o, }7 s( {' vlet k 3
6 R5 G* B9 X b0 M% dlet power 0; s7 P7 Z d; \- i
let local 0
, ~! @4 O: J, a2 M f" {while [k <[trade-record-one-len] of myself]
" l0 t3 ^, ~6 V* M[
( F, H0 ]1 j! d; V7 o: k, b- p+ P3 Aset 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) 0 y, r9 z7 V3 z# ^5 D' @3 j- y0 P
set k (k + 1)2 u/ }# h& P9 R5 f/ W4 I
]
8 X$ J [; K5 O5 }. l/ M; i0 lset [local-reputation] of myself (local)
5 t* O' \% D- E3 V) Bend
3 `% s. u" n- B& k V$ \7 _* y" Z8 E" _ }2 ?4 M
to update-neighbor-total* a ^- ^5 l+ k& ]5 u- r
/ y' H6 Z3 z3 ?, {6 Y( _7 Bif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
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* ? C2 g5 }4 T3 y# Z$ W" D: j' {0 H+ _/ R
end
& F F+ p" c) k1 F7 c$ z+ h3 {" N' ~4 e& I, k6 r7 Z8 s5 ^
to update-credibility-ijl
- M$ v% y! |, i* }9 r9 |6 p2 t8 N4 @! a0 j2 q5 ?
;;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。1 Z& ~3 |6 O, Z& l Y7 O9 S$ C0 A
let l 02 k, V ]' d, l# r) p
while[ l < people ]" \4 |3 ~& Y" h5 |: J
;;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7 O4 t8 m& `5 Y+ ?' M% N
[
7 H. o2 p0 u, e2 jlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
0 M4 H6 w( R4 W/ e# F' mif (trade-record-one-j-l-len > 3)
0 j( a! F3 l; f7 R- I3 n& R' r[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
& X) N. R1 P& u4 s1 Q7 |let i 3* l9 h& \3 D' I% Y( y6 k4 [
let sum-time 0
{! ]: B/ Z _while[i < trade-record-one-len]
2 x, ^5 S! r7 o7 o[2 f' U' S: j& l$ Z1 e
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )! x% R8 Z9 M: Z+ s5 \2 s' }, m1 V
set i3 B6 |6 ~" ]8 U9 q# P' z" m
( i + 1)
. F; X m' z2 e], \+ [/ R, R2 j7 y2 b1 p6 k' X) T
let credibility-i-j-l 0/ i7 g" R( D; S7 k" [/ [" ^4 J
;;i评价(j对jl的评价)
1 e7 j) u( n! E0 D4 Dlet j 3 @) n# F2 }4 o, Q/ o
let k 4+ q5 e" G3 g! I. i
while[j < trade-record-one-len]
. ~4 Q" ~0 l% o' S$ S& c' x[
: n b& r: p% e$ o5 ywhile [((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* v; H3 }- U( w5 c' e% S% x4 |
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)
% F+ v, _9 Z2 d1 O: Yset j2 X6 N9 r) {, d2 O
( j + 1)+ { d O4 N9 Z. N( j
]5 \( y: u, Z! E
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 ))) q+ r0 x( {& P$ r z: S
3 ]; ]6 }0 R# _4 m. N3 |# u$ B, E1 ]( c' d. [
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))% h; {5 d& a- |; P5 s3 H
;;及时更新i对l的评价质量的评价
4 w3 r. A, i1 cset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
1 O$ S# h2 O. Q$ k& x9 `: Lset l (l + 1)+ j) M! t8 L% l' j0 O
]0 n3 _* C! K( I7 |" k4 K
end
- o( o5 T9 r$ i4 J
. @1 G% G+ w1 Z4 h0 T0 f' u& u7 ?( Eto update-credibility-list
! S* h, Z, g' plet i 0
% U8 G& a% w3 W* W. xwhile[i < people]6 v. H) M# L" d. O$ P
[
+ m4 T+ l+ T3 _) zlet j 0# w! Q- m/ V( ~# k5 y; c# v
let note 09 _: S4 T7 w ]* |% X( \
let k 0
7 B0 F# B. o5 ^4 @;;计作出过评价的邻居节点的数目
' D; p3 ~ s2 Z+ V4 V. y! Owhile[j < people]
9 B( I5 V( h5 K1 _% F6 A[
3 v+ h0 Y6 |) C# Q# Sif (item j( [credibility] of turtle (i + 1)) != -1)5 ~% v# u. ] g; d# [
;;判断是否给本turtle的评价质量做出过评价的节点
3 ~# P4 O( s3 b' I/ s6 B) |. L[set note (note + item j ([credibility]of turtle (i + 1)))
+ H4 A/ `# F7 e- l* o;;*(exp (-(people - 2)))/(people - 2))]
0 u/ ~! z. y( I5 {' U$ P; I) dset k (k + 1)
( C O0 d+ t% m9 f0 q" k; y: N]
( W% A8 `+ e3 _0 ]5 D6 ?! T: @9 wset j (j + 1)' Q4 Q$ D9 {% q0 b' u! G
]9 D% Z2 |& \+ L! s, ]+ Q
set note (note *(exp (- (1 / k)))/ k)
; l* Q* i4 H2 r9 {9 M3 s( tset credibility-list (replace-item i credibility-list note)
9 `7 Q- W2 f* c; ?9 J; eset i (i + 1)# o, p; l+ s& o/ }) Y& n# s( P+ \# g
]
% s; t% u4 a# y/ s9 j6 aend) Q7 k C+ T) O, T
* R; s1 i6 o2 e X* u8 G2 Yto update-global-reputation-list5 B- v7 b3 L! `2 h
let j 04 O! ~6 Q5 |7 r% k% s- W- l
while[j < people]
5 K$ Q$ k- H1 K( H7 F9 Q; w- p[- }! Z; l# Z" A, ?# k
let new 0
: B. n- H* `6 r9 h3 H;;暂存新的一个全局声誉
2 m9 |. j+ r# G1 z3 `0 N8 |) ilet i 02 S& t) C' W7 S4 ?
let sum-money 0
1 N9 g5 Q' W+ w' z0 Dlet credibility-money 0 ]! j" ]* q, r5 _; `
while [i < people]
$ |9 J7 P/ K" O; C {- T[
0 | w5 f, u7 G+ {5 `% e: \set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
) i5 C4 }2 V* ^+ Pset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list)) M3 s y. A" C$ S. W/ M
set i (i + 1)
7 a) z" z) r: b1 w4 Z]1 s. \6 L8 M7 ]: J1 V- m
let k 0$ K) c* o' f3 }: T3 c
let new1 0: { I" p+ ~7 q3 A) u' i- n
while [k < people]! ~! D( P$ W0 r& s+ E" L
[, O- T& K5 V$ H! K
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)
' X) {3 t- }7 e% H) {" x' D" Kset k (k + 1)* `2 S7 n P/ L8 ~$ H5 U
]& w" r( i K; m# b+ ?6 X$ V
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 7 t+ s1 l% P, T. q
set global-reputation-list (replace-item j global-reputation-list new)
; b B3 H* q: T7 B9 Yset j (j + 1)& i+ i K6 K6 z4 p' v
]
4 L1 L h: i% g5 Q3 Tend
* U( }( }; ]: r S6 a; h6 h9 u% b m5 Z* L
$ q% w4 C) v+ K* T- y! Z" j- B5 P- b- q0 d: }' \ M
to get-color% t$ ~* h+ R& G( z* w$ @+ p2 G
]1 a$ N4 C3 V$ U Tset color blue
4 Z1 v3 X$ e2 G; B; kend# Y1 e' z; Z0 z
8 Z: f7 d6 W# N
to poll-class! ~+ D5 `6 ]+ T3 [6 ~
end
% P7 T/ [, _! q4 |( \" W
0 F8 V' `- Q, _to setup-plot1) e; Z7 p2 l- D+ z4 p9 k
; c3 w2 Z/ _- |% hset-current-plot "Trends-of-Local-reputation"
6 K4 w3 H4 D6 e; S% _' I1 G4 i" T
}0 D6 C6 v, M- L4 ~+ bset-plot-x-range 0 xmax6 p( J- i6 c J0 s* L6 v4 k$ [( _
' d3 @3 S1 d" `8 `
set-plot-y-range 0.0 ymax; D- u9 E+ T) }3 a8 I
end
D$ \% s* T5 J2 S0 @( v
4 X0 A8 A( c5 I3 f4 [( |3 Y. X2 hto setup-plot28 b! F+ S0 G+ B' E# A% Q& U$ M
! @5 }$ l" r7 R# J9 {/ Jset-current-plot "Trends-of-global-reputation"
% P" ^+ o/ T0 ~1 n C, `2 O& \8 }) ^- w% u6 n9 e
set-plot-x-range 0 xmax
. s1 ~+ B! P, a- z G4 P, C6 r. a$ [; M' g' A$ c6 Y
set-plot-y-range 0.0 ymax+ J( {5 G/ e2 b# d6 z
end, p6 F! g# W" P" ~
8 {* c$ `- C# l+ ato setup-plot36 w- v' I6 ]- \
O& H4 [, M' E3 _2 M. R3 wset-current-plot "Trends-of-credibility"
9 I% O' o4 m' N: c. ]. I# ^9 R% M+ q H
set-plot-x-range 0 xmax* \# f | @' I
6 n m S l& @4 ?) \! Nset-plot-y-range 0.0 ymax
# w1 t; W# q3 \' ]end# E3 g9 W3 s+ _' f T0 I
( Y4 i4 G- ~0 ~
to do-plots
: M1 T0 q' J$ S1 Dset-current-plot "Trends-of-Local-reputation": S' O6 r4 ~9 j' _: ]' A
set-current-plot-pen "Honest service"
: N0 q1 u3 ?2 d" p" `/ Yend0 l3 t2 O7 \9 _; C l# \, Q
, x# a* c' h! B7 D5 j( t[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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