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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9 ~( R; B' i% }
globals[, d- z o# x' D) G+ h6 r
xmax8 }3 s+ ~% a2 r, w1 I
ymax
5 N* F) p' e# wglobal-reputation-list
. E2 U Y0 o( s: V+ N8 h- v( y# I/ H6 L8 {: Q0 }7 e+ E9 k: D
;;每一个turtle的全局声誉都存在此LIST中
+ C/ ?; w( b3 T! U4 L( O: L4 T& `credibility-list7 L$ { F1 v5 `: y/ u) M _) m5 P
;;每一个turtle的评价可信度
7 t# R4 ?7 A0 F0 Shonest-service& |' D! Q, s+ Y) y
unhonest-service
6 z0 g r/ g8 e* e! ?& L& aoscillation
$ k* C% A3 W4 g3 ^rand-dynamic
$ s9 P% x1 b' y4 U2 I0 o]! {3 y! V% g: m& h
, N/ d* m( l& t. c- s& ^1 y, eturtles-own[
1 e7 ]. D6 ~0 Ktrade-record-all
; {7 l0 R: l. K;;a list of lists,由trade-record-one组成
9 |9 I$ b' h `: p" ^* ftrade-record-one
5 V* I+ ~% J- q1 b% H, Z* e;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
7 [( ~6 ?4 \1 w
3 b+ `, H3 O7 O# a5 Z& ?;;[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]]
; G* H) \9 l4 ^, M/ s9 gtrade-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]
Y7 q$ b; s) J" I- qcredibility-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
8 Z. j; R. Q( [( J9 V- T$ G& n( Fneighbor-total
8 F8 z; N1 A8 D, C' A;;记录该turtle的邻居节点的数目; v0 ?! `' J" T# N. p
trade-time
7 ^" d! B8 o$ M* E, m( o" R" v% t;;当前发生交易的turtle的交易时间/ m; {3 D* `1 k6 e% t- [- u: X0 z
appraise-give
' r n: ]- j2 T% }9 m! Q$ _;;当前发生交易时给出的评价1 S/ a2 f I8 I$ ?* A$ S" y4 m
appraise-receive0 \5 F2 L3 P- p* w) a
;;当前发生交易时收到的评价
1 J( z% ]* Z- h# b$ \appraise-time# k6 M; D) _ q: t
;;当前发生交易时的评价时间& l- q8 O* ?9 u7 I1 k+ c
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
) S1 i& Y m8 S5 E8 W0 A4 \0 otrade-times-total
9 b, Q5 k2 ^. c: U8 x;;与当前turtle的交易总次数
# l* h" @" \& M0 k1 e" o# _trade-money-total' ?7 B/ e( s; g2 d7 T7 B
;;与当前turtle的交易总金额' X) x* m2 D8 b% X4 K
local-reputation
. p4 w- u& b; a1 x4 o: H0 Jglobal-reputation" J f& X0 z9 a2 s H9 C" f7 S$ [! m
credibility
2 i. Q' U4 M0 }. G: L' A;;评价可信度,每次交易后都需要更新: x+ f! o' e- x6 N3 z' N- @+ J$ @
credibility-all
1 A6 F* |- J/ u+ [( R4 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
* l X6 j) y: W( x4 r- t' j( O3 ?* A. t8 V: O. ?* ?
;;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
8 K. z- Y+ _1 U* j" t. j6 scredibility-one* A$ t1 v+ `7 Y1 Y. D# m
;;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
+ O. f3 u b0 A7 K! Q* d0 tglobal-proportion- R4 v8 I3 J( }
customer
& M* u I2 @! _! o' Acustomer-no
6 G9 u! O) t. ?3 D9 t- Btrust-ok3 G' }( E! c" c- w+ G7 v
trade-record-one-len;;trade-record-one的长度; i1 G8 U: y! k* @2 O: p
]$ m" W$ f8 `. g) u* k A/ O7 V' q" Q
) `9 l8 o [2 l6 h0 ^9 m6 r
;;setup procedure, R6 \% v8 h0 e8 ]
8 f# p9 t( ?/ r: a% H/ H; O% D/ l I6 Gto setup- B8 D/ I. v3 _
) v+ r) T7 }1 a/ x# `6 Dca
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initialize-settings: J9 @+ I7 F! x4 Q% `1 L* C
: }5 N( C! C5 r3 \, Xcrt people [setup-turtles]1 o. H3 V! r7 c v1 D
* ]; T G5 L5 g, `' o
reset-timer
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poll-class
% ~! y) L1 N; U* d( Q7 {* |0 ]- [8 h# u [- K
setup-plots m3 Q) y8 N# ?5 ^. r4 ]. M
- r+ B/ I: u' T" K/ m" ]do-plots, d' W. \- V0 C# b J+ ]2 D
end
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to initialize-settings
0 y; ?- N2 U; C, k+ k3 J0 ~0 \2 K) e% r' h; D" I) e# J/ I7 y l
set global-reputation-list []. k d9 Y8 F. r
+ v8 i2 s& N i$ b2 `2 cset credibility-list n-values people [0.5]
0 a- F& v( _0 d; @% B0 d. d$ j ^) _. z6 W% D2 a; T8 y# W, T" k
set honest-service 0. F) x0 Y' m9 _# A: P8 W1 u- s$ B
; O" n( {9 r# X7 X4 @* a0 ^" B$ d
set unhonest-service 0
+ D. {0 Y( O: o) E) r3 j( P
! I. ] w" E3 j! c% Kset oscillation 0
2 N' b8 {- M$ J5 R4 O- v. r% T" q0 w! p
set rand-dynamic 0 }5 f: H }4 j+ H9 ?+ V
end
( v# h" |6 l% j" N8 {4 {* o* h+ W7 ~7 o
to setup-turtles
3 T8 K- }% n/ T% G! G5 e0 c4 Fset shape "person"( {3 K) a* |: s/ q5 \& _1 o s
setxy random-xcor random-ycor- ]. D, r* G, M% I; z
set trade-record-one []
; ~) |4 Y3 V; b0 \
8 c' \" A) m5 F' j4 O1 [set trade-record-all n-values people [(list (? + 1) 0 0)]
( a+ }" i; g8 P R/ O$ {! w3 Z' R0 W" C9 D4 M3 Z
set trade-record-current []# Z% a& G7 S: j
set credibility-receive []7 K4 M! ^2 ]" a5 P" H$ x: |# V, V
set local-reputation 0.5
9 `4 {1 |- E a: c% Oset neighbor-total 04 |4 t8 W' i) `- e- N& C" e4 _
set trade-times-total 0& r% t- e, W1 S. C, o: l+ g
set trade-money-total 0
4 V0 t m* ?$ l3 G+ oset customer nobody9 W& y, K! j& k3 K) L" g
set credibility-all n-values people [creat-credibility]# ?4 `2 Z# w% \; j4 U
set credibility n-values people [-1]
' a O5 W5 _( `# b* [/ sget-color
9 r2 C' v& n2 G. w$ p' o U
/ ~( [! g+ K& ~end
0 ~2 @# d6 M1 }' c8 Y5 c; B
+ \" x. T' c, B' a M+ bto-report creat-credibility
' L' h7 I; O0 ?* qreport n-values people [0.5]& y# ]6 H- y. p2 R' V9 O1 g
end
9 A6 s9 I% E( T ^2 i- W# D( i6 ]; `, H$ p
to setup-plots: @4 K' [! @) k1 l
1 u# z' m: \2 X
set xmax 30. r4 H; g* m Z2 `! v9 l
4 o, K2 ^% Q f# Fset ymax 1.0/ V% @+ {* Q0 B, [" P( c' L
9 S% w( l' h$ aclear-all-plots0 x9 X0 w# C/ L- w! ^3 x7 Z: }
& ~. E# k6 Z! D9 b: X
setup-plot1
: Q2 T1 I, t3 C7 K) v4 N g, P
setup-plot2
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setup-plot3
1 ?' ^6 y) [! E8 u4 b) p, O4 `end/ E/ h! ~, ?4 I
3 X, y! w) N9 A5 U. f
;;run time procedures
5 u0 G5 Z g0 t5 h1 M! `/ F, C. I1 c) g
to go
6 U) T4 D8 c( C( E/ w- y+ t
9 X1 p' [5 `0 A0 H0 | D4 u) ~% Kask turtles [do-business]
9 e+ {6 V& r6 ?. @end4 U& t1 b' C9 c
3 t* f) H- r5 m4 I) n+ @1 v5 d
to do-business
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# Z4 d& u+ S0 |0 K" Y( R drt random 360
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fd 1
_$ W v8 s3 i! w* }7 J% C
) S/ y$ u) l, C% d: }ifelse(other turtles-here != nobody)[
6 B6 m& x" W+ O% U5 a. V1 D( z3 C$ J1 l9 t
set customer one-of other turtles-here
* K! b6 ]' a; ]+ t
7 F- Z# c( F9 R# r;; set [customer] of customer myself
[! F" i$ ]6 y& L8 z" M! Z# |+ l. W& ^3 J: p+ m! n
set [trade-record-one] of self item (([who] of customer) - 1)
$ u: P# {0 M3 Y0 \9 D3 O[trade-record-all]of self! X* ^5 I+ ] c* l" t' p* h$ l" D% O3 Q
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self7 Y2 y- M D j+ k* j
1 Y; u! G/ W* ~+ s' W3 ]) u
set [trade-record-one] of customer item (([who] of self) - 1)9 U5 i' B4 S2 |1 H
[trade-record-all]of customer' z" b# n5 _6 z" w! Z8 J
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set [trade-record-one-len] of self length [trade-record-one] of self: @# L0 r) e4 i7 I b7 f: j; O
* D5 x4 N3 ^4 z. Z( I1 |8 P( V
set trade-record-current( list (timer) (random money-upper-limit))
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ask self [do-trust]" y/ Z" E9 F! o5 F \& s
;;先求i对j的信任度
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2 V3 z7 \" f7 @- Wif ([trust-ok] of self)5 l$ O+ p' G6 V2 x
;;根据i对j的信任度来决定是否与j进行交易[
: K, ^+ d0 X9 |3 f/ Wask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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[
z( A+ w& Z& ^8 C7 {% T- M8 r, b) l6 |, c* M) Q" p, z- b
do-trade# @" s* _4 X& [% }1 b% G
5 T8 Z4 I5 f/ B. i, V0 R* Hupdate-credibility-ijl
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update-credibility-list! a8 z, D8 o; H
8 S# x6 F$ u1 T+ z% r, `
# M6 N; t" b( B3 }6 i
update-global-reputation-list1 x% W3 q# l. W
2 @5 H o6 i$ g e1 Bpoll-class
: F4 R8 u, z' v! x* v# m# b* q- v5 V5 O
get-color
( \* v% B7 ?4 S/ _+ Y8 d" `- ~- h1 y- j) h
]] b3 j' S# k1 J1 x% ^7 F* v
3 `, j' F _% q0 v5 P: a;;如果所得的信任度满足条件,则进行交易
& Z/ ?2 H" U0 [: t5 O1 V# e% k x. O' e* C
[. q" N- r r! b: I' v' ]
" q7 Z. P5 ?. J7 D! Q) y
rt random 360
F. R7 G7 R0 s
& t5 G# {# [$ b$ kfd 1
+ C0 X; X) V; `) f( H2 D& X! H, x/ z2 v/ N
]
H+ l- n% c5 C" {* ], r- Z+ e& P5 V( |' J1 ^; q
end3 I# X1 ^( H' o* g P; m+ _
1 j1 E4 B7 ~8 n( Fto do-trust
& w4 }; C0 e. D! u bset trust-ok False
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! [8 ]; s6 I# h q, O0 K, A4 y, L$ Y+ c
let max-trade-times 00 {( P1 E2 N8 H- U( k
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
# Z. w& r- a% g. I# Clet max-trade-money 0
) h% |1 X, B5 E. t% o# c: A6 |foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
9 ^) H K d) j+ e2 F' [9 p( slet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
: o' p5 t$ X/ R- s& X. l2 ]3 y: k7 [4 m# L2 D
, F) t& Z( L4 Z5 g) F& k; Dget-global-proportion
' ]# }2 ? Q6 A# r" _% K: `9 dlet trust-value8 T* Q4 _/ J7 T) T- C
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)+ c! Z7 M1 _0 c" T
if(trust-value > trade-trust-value)+ b) F" h( g0 a- q K% V* n. A
[set trust-ok true]
L( X5 d" N4 h& G" L, g, Bend: L" S6 f) e! Q, v# V8 @* H
. ~2 v. E0 N1 _& u' O0 M7 E) Uto get-global-proportion$ W! E3 [% J7 e2 `
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
) v6 p, y3 B' t4 x[set global-proportion 0]8 j0 M* r8 k6 K e$ O) \* X# D: D! n8 l
[let i 0
: P* D3 k; V0 y. |+ w/ rlet sum-money 0; p% |4 h5 _, R" m% v
while[ i < people]2 V# b/ P# \6 P. n
[
5 Y9 q- p# U1 ^4 O- D& u: Iif( length (item i
1 \ U) i3 b& a' E; f# i& l[trade-record-all] of customer) > 3 )
" j& I9 z% p) C( z9 d( m[4 c$ ~! V$ {% \/ J8 A% S
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))2 }- l9 _9 W- g$ T" R
]: ]' N( }/ n. I c: P
]
4 B9 q0 i% D( @& i' e5 ~7 Rlet j 0& a* K2 k+ `* I* V, F) A
let note 0
8 N, P4 o( R( @1 awhile[ j < people]4 ^/ _! d! C3 V) M. b
[
6 W; Y7 \& @- M' Q3 yif( length (item i# R/ G8 ^4 P# U# e
[trade-record-all] of customer) > 3 )
1 a0 G3 A/ _2 i" m7 B[8 t$ g( s x# m, S$ h6 T
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)) R: K7 s5 E9 a
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]/ G( U1 b3 ^8 |5 x; W
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]/ D+ d/ G1 F6 r3 D, g, h! l
]( Y7 o" f, w, [. k+ k/ B
]+ \: _$ P1 f8 s
set global-proportion note
2 D3 f! s5 n' V b]
6 g& V- q3 R8 y0 D& Uend& P9 N5 e5 ^' u- y( J8 ^) t
u. K) L- c( a1 [" E1 F) z. Y7 @to do-trade" [4 R$ Z4 j5 v' y$ c
;;这个过程实际上是给双方作出评价的过程5 R2 n3 ^/ X7 K+ c( F2 A4 b5 x- O
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
# a$ k3 N4 j7 i: n: i3 Mset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
; c; O, c$ p% r/ \( `, ?set trade-record-current lput(timer) trade-record-current* W; e. S' I9 c v. v
;;评价时间
^: k9 d4 e; E N: Dask myself [5 Y$ N+ c2 {& B$ o$ s
update-local-reputation
( R( o3 l1 C5 j) bset trade-record-current lput([local-reputation] of myself) trade-record-current
5 C8 t( E) W% S# W]
0 ]' R% ]9 N7 M1 @. B2 Iset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself* ]* r/ `- Z5 E* Q# T, S0 e
;;将此次交易的记录加入到trade-record-one中( c; z+ @ u4 ]& x8 y" y/ K
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)+ R V" H- ^7 K! ~: B6 P
let note (item 2 trade-record-current )1 `1 E7 @5 g9 W% Q% Q( b5 I" k( U
set trade-record-current( v# U% B: Q) u" p9 T+ o, r
(replace-item 2 trade-record-current (item 3 trade-record-current)). c* o. t3 U6 C" Z0 p$ {' l" o- X) A
set trade-record-current
4 ?$ x+ [5 n! w2 X( m5 {(replace-item 3 trade-record-current note)' K. ~9 o7 S( K3 t9 S
6 i+ I: b0 |. B2 A: p. [3 W% L
) T7 G- p. j5 ^; v- S$ ^# j
ask customer [0 [8 h: h% J4 j b+ O. x" U0 Z* m
update-local-reputation
" E( M. g% {7 F' `) tset trade-record-current( d: G8 C3 q) R. R
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
( \7 h0 @* z3 G* s0 I]: T8 i9 b. Y( c3 ]% x; }. d
8 S h7 R. L$ J, D/ e* c" M8 I9 p, ]% b" k
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer7 `8 T- T" P: m" t, e8 R
/ A s. Q1 Z8 ^8 h. j: wset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))" g6 d6 S# N, A- y, n* \1 I' m
;;将此次交易的记录加入到customer的trade-record-all中
3 X# t, X# J& [8 b, [- K+ o+ {end" L7 U1 E) T5 L' x* J6 }# c
) Z: e6 a2 d. H* k
to update-local-reputation! {" q1 e% v) J8 _* ?8 O
set [trade-record-one-len] of myself length [trade-record-one] of myself
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;;if [trade-record-one-len] of myself > 3
/ K" ^5 o& f* u6 o ?6 i F2 K0 nupdate-neighbor-total
0 v7 P: L- N, O8 ?;;更新邻居节点的数目,在此进行
7 O! c$ {! M* V+ m8 N2 Ilet i 3
5 v- H7 [2 y1 n, @2 vlet sum-time 00 K+ l& J/ |4 L
while[i < [trade-record-one-len] of myself]
5 s8 a/ @6 x1 y' N; r9 J[
5 E+ r/ `9 a3 {# T. Z& u6 Qset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) ); j- b1 W o" h5 l. ?( ~
set i( o/ k- v- `2 T' I0 Y8 c
( i + 1)2 Z/ b0 V# q$ \: k( g+ x2 ?
]
0 B7 m! L- |3 d6 V3 o+ s( J& Flet j 3
7 j3 F7 b( M7 O% alet sum-money 0
" P# t( w) r0 Y4 s! ~while[j < [trade-record-one-len] of myself]
9 S( [/ ^/ ^: F[
/ z: F1 Q3 s& o. [/ [7 a/ q- ]9 qset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
) G+ o$ c+ e& n! k2 o) k3 Nset j
! i! E7 c9 B4 `( j + 1)6 D. ^- l L+ [# z( e1 J- _7 U; R
]' N6 |6 o0 l# |; l1 z$ @
let k 3
- B- [1 P- E- R- Clet power 0" A8 Y, T/ G+ \9 W5 w; A
let local 05 o. R+ n# z( V( w& A! }2 G
while [k <[trade-record-one-len] of myself]
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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)
: O$ Z3 @$ S% A) v4 X6 g* Y! v: sset k (k + 1)
" E2 u q8 i' q( n- x0 v: h]
2 b* @6 E) m2 i* |set [local-reputation] of myself (local)4 \2 v; @7 [' i- B7 o
end% T! l, K0 Q7 X& Z8 G: U
5 B7 M- q- c8 V& S+ v7 [to update-neighbor-total
! N6 ]& |- |4 L" }' z3 m6 ?
1 {( |7 Y; L p9 n, L3 K K" ?; gif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
% n' h2 k+ [' p4 c$ |
: }2 `+ C E# _& S
( j4 z/ H8 U1 P8 K2 [end
: z7 {! \. \4 Q3 t; Z: X) K% o! a& f p+ A7 s1 {- O9 j) ^5 i
to update-credibility-ijl 2 f& Z" l4 n) _; |
# |7 _4 E! V$ t! I O' z, };;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。
% C4 j- w1 K1 a9 Q) G% x/ Llet l 01 _" m2 v5 j9 \
while[ l < people ]- ?+ M% z4 ~+ j3 s' r& G
;;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
, H$ A/ J( i* Q+ L5 y& b" T[
6 ~' `9 I$ }# Slet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
- B0 N8 ~, N2 r1 U$ o. Sif (trade-record-one-j-l-len > 3)! d7 |9 R# p9 p# F& T3 N$ Q
[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-one7 p& t$ H B8 a, b7 @3 h* b& X
let i 3
0 @; M6 |8 y- `7 @" @% alet sum-time 0
' i4 u$ R7 k8 A rwhile[i < trade-record-one-len]2 W9 _% M/ o' b
[; M' S& B2 I" V, B# ?& }# T
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )3 u1 t" N, f8 T& ?8 f
set i5 H2 n8 g* _% x; b" q
( i + 1)1 z6 a. V2 ^0 f; M
]9 ^$ f* N& c i; r! D$ a
let credibility-i-j-l 05 d z, c A5 t; l' r1 u
;;i评价(j对jl的评价)
9 d( o/ c) u) ^% y2 [let j 32 { s% c4 ^4 k) L; M N* p
let k 40 ?# Z- w. \: x7 A7 T3 @+ u! T
while[j < trade-record-one-len]# v, i) Q- F$ j& }8 L0 I1 w
[
2 q) V, k9 D& O7 F ]0 Twhile [((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
& u; D" D" m1 ^7 J; Gset 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)" P$ J n7 V5 Q" y. Z
set j5 c8 k9 A; u, H( w% c7 [
( j + 1); e( a7 x( {5 R* w& G3 S3 F2 {$ e
]& P6 }5 e3 {! E8 x
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 ))
6 F3 N% B6 l6 U6 j* j
8 w) F) `7 N+ `0 j( p) S! `+ z' z/ P
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))! r6 x. I& P1 D }
;;及时更新i对l的评价质量的评价$ _# g! E, ^( g' q8 S6 X* e
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]- f: H, `3 k7 z# b8 G( ~
set l (l + 1)
* s: t& F+ ^8 @/ ], Z* ^2 e2 Q: P]: o$ c' p. F8 o+ p1 y- [
end: ^# r& F; y$ ~. t4 _/ C7 l: D
4 O% W2 C* P0 L. p' w# h# u
to update-credibility-list8 ~8 M8 w- L. G2 p+ D7 P
let i 07 P3 u: a$ p' K+ g$ N
while[i < people]9 Q8 Q/ z9 }0 P5 Q; B
[8 N: C% c" K8 |- Q
let j 0
/ n. {, i4 s6 U, N8 Qlet note 01 ^: z: r" z5 T# j
let k 0 h; P# w- `+ p. e
;;计作出过评价的邻居节点的数目
' d; _6 I1 S9 H) _, hwhile[j < people]7 Y& K- U( h! g5 X
[0 k3 E& A$ e2 n% y7 D0 u
if (item j( [credibility] of turtle (i + 1)) != -1)- m' U4 A( Y# g% R, r$ \
;;判断是否给本turtle的评价质量做出过评价的节点) [8 p( f( h$ \
[set note (note + item j ([credibility]of turtle (i + 1)))
1 g7 r% r5 A9 H% |+ f;;*(exp (-(people - 2)))/(people - 2))]& g/ M9 H- | ^8 W. D% p T
set k (k + 1): X3 p1 J# Q1 q' K
]
# E$ W% Q h6 F$ {& U2 n& @/ _set j (j + 1)7 o) X. y' x# ?3 m; b. a" q# Y3 \
]
3 a% b0 u* u* `: t, J& cset note (note *(exp (- (1 / k)))/ k), c3 H y& M& y! k' \% j
set credibility-list (replace-item i credibility-list note)7 Y. }5 k. q! x
set i (i + 1)
* O0 [, l/ c* u( Y]
0 u' M# L; Q# E. Lend
) P$ f1 i& M" T
, W' [3 w( G9 \3 sto update-global-reputation-list4 y0 ]# l; q. K& \# h
let j 0
6 m c7 F6 V) lwhile[j < people] ~' Q/ o3 ~3 u$ H* _
[
6 I1 w! n; U5 K# klet new 0
* `1 v6 J" E, P+ B;;暂存新的一个全局声誉2 p6 h$ a% \" q/ ? R2 ]! R1 C
let i 0
2 S: \: n4 N7 p9 wlet sum-money 0% n6 N* [9 I! e2 W
let credibility-money 0
# S$ s# d+ s- m1 j5 |! Ywhile [i < people]
! g3 Q9 p7 W: J+ A, c& \[ q: u5 T9 ^7 P0 e( [# r% J% s
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
6 ]3 y7 w% Q+ yset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))6 |, W; C5 N: t; x$ d+ ^. n
set i (i + 1). u* P. P* u) l; g& K
]
0 k) O' ]# S Y8 Flet k 0% x* Y* N: p- l) u1 R6 [
let new1 0# ]& |" @+ d( B; q- u
while [k < people]
* J+ r& {% Y0 @& k$ e/ l[7 p& [7 L1 m" H0 S. b6 R# r: G1 R; e
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)& l' @0 V: E( f
set k (k + 1)1 n( [6 O y% u
]3 ~& s8 M: J! m4 A$ s* }
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) , s8 } q* _$ m7 l# r0 h
set global-reputation-list (replace-item j global-reputation-list new)7 e! i# ?1 [4 d' |1 _, ^* k7 M
set j (j + 1)$ n, K+ B4 G- t: Q6 {0 A
]. `0 w- ]5 ?7 a
end1 S4 D4 `8 [4 ?' f) M( W2 B
9 t2 ~- F: ?: I3 x) ~. b: C! Y* `$ t ^ [$ o
( M* c' a$ y5 c: H% l gto get-color( G/ `. Q+ L0 o6 `- u
9 h, l8 X0 _0 T j3 zset color blue: j# s/ t& b" X' O. P
end
* N) ?6 L& k. m+ Y2 n) T
5 H3 s& f* n' ^2 q+ i2 R3 e9 Ito poll-class
4 |; b6 d1 ?" `8 m3 Hend
{1 f8 X+ s7 l" A: a
/ h i; N+ z6 J5 Qto setup-plot1
u( C7 F. E% ~; \( ?8 S; ^0 v5 U% v1 j9 V5 z. E7 h' M. i6 a
set-current-plot "Trends-of-Local-reputation"
$ H- E, F; F) Z, \- n$ @. N1 U- A" h2 S7 Q( t
set-plot-x-range 0 xmax
: [4 y4 P2 k' o% S ]1 v
8 k: u1 [" n& O5 bset-plot-y-range 0.0 ymax
$ ?! v( w& a: q; [- K" u; G4 }end
6 W6 N: y: s9 y( T* q
9 v8 M3 B+ R1 n1 B, s$ N+ p* E9 Lto setup-plot2
% ^6 a! b7 P! t# m) e
. k2 W o5 ~! I5 [" z4 wset-current-plot "Trends-of-global-reputation": S0 ~% S% |4 ]& g L
! `$ R$ d3 q; G$ {set-plot-x-range 0 xmax' O0 d4 Y7 V$ f2 H6 O6 J- m; E
) o% T- ]4 V0 _+ [) ]; Uset-plot-y-range 0.0 ymax
8 u7 s2 v8 A! ]2 Q! Eend. g: h, M. w3 \2 D3 A# D9 r
+ { `( q; O! [* j# C& \
to setup-plot3( r& X$ O- ^9 C, t" ` R8 e+ c
, X/ L4 w" t9 f9 P. `set-current-plot "Trends-of-credibility"' F9 J0 l- o" l' U6 m2 S
3 C1 P; [$ m1 W) c8 v8 b( aset-plot-x-range 0 xmax* x3 L% R& Z* ^% y% d/ C9 P
% T9 i, R! p+ ?6 Z; Uset-plot-y-range 0.0 ymax- r& T" y) V1 j5 f9 S: y* X* q
end& ~. H. q5 ], [) i/ c& w
( |* q2 A5 I/ V4 _' O9 [to do-plots* h" ?, T* d7 r' p5 y
set-current-plot "Trends-of-Local-reputation"/ {+ s2 Z" x2 G4 i( O% o, Z- s
set-current-plot-pen "Honest service"' h; t3 E# g' J7 r
end& f; _8 x3 ~* E! J0 |. @: [
- X* U. [1 f2 q7 ~; o[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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