|
|

楼主 |
发表于 2008-3-18 13:10:54
|
显示全部楼层
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* A# n/ V& t" |7 q# Z
globals[! y+ G _( C. i0 y% D, A7 }5 J
xmax
) m I) D! L. {5 Y) ?ymax
/ Y3 Y9 P* L# O9 v, Y5 F2 jglobal-reputation-list
4 [- g6 F- l+ R3 W L' V u
7 E- N+ e# s! E& z& z h6 Z;;每一个turtle的全局声誉都存在此LIST中
5 s; o, V9 o {. X5 O9 p" ucredibility-list
! F% [8 {' p/ `: J: _' |;;每一个turtle的评价可信度$ a# f) A$ y1 |& ?6 e o% ^
honest-service. T8 U: J- h" E. S1 }
unhonest-service) h% E9 Q. u. v7 L
oscillation- k2 I3 ?0 ]" z5 v5 I
rand-dynamic
/ D8 @( t3 Z2 t* V& B/ J]
' L. U2 F5 N% e0 F. o2 x: D% G( c, @
turtles-own[/ q3 X I" A& \+ y3 d3 x
trade-record-all; ^+ n* [- F+ d9 [; p5 N7 Q
;;a list of lists,由trade-record-one组成
' E) Z q* G" C( P2 H% f" b5 G% wtrade-record-one
8 j2 L! }9 i% Y0 S;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
& \* e# \7 |( Z/ r% }3 C0 i7 p& P* `. k( l
;;[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]]0 @1 @6 G1 }# ?: G
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]
6 W, b2 u# k0 P' ^5 J) Mcredibility-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list3 H7 J' P1 \2 j8 t
neighbor-total
6 Q3 {. C6 E- V, u, P; T;;记录该turtle的邻居节点的数目
1 z: p+ D7 x5 ?% ^. rtrade-time% m- ? N/ |5 i3 m( t
;;当前发生交易的turtle的交易时间
& A+ U# u1 K" a" l4 oappraise-give; P" t- I( g, y3 B8 B/ s% E! P
;;当前发生交易时给出的评价
1 F- C% X1 E: Y" q [appraise-receive
1 q/ O, r! o3 Z- k1 b- u;;当前发生交易时收到的评价' q6 ?8 j6 R- @, V5 A9 a
appraise-time M( f, r. a+ L* z. z0 c' r) j
;;当前发生交易时的评价时间8 b& f; K% E1 E) e' W! h" S
local-reputation-now;;此次交易后相对于对方turtle的局部声誉$ ]) K2 n. B- G# x4 s8 [2 V$ f
trade-times-total2 e5 F" ]8 J- q! W
;;与当前turtle的交易总次数
. m4 D/ l, S' Etrade-money-total! t1 z" a+ o; ^1 \1 _) v
;;与当前turtle的交易总金额
7 V6 _) W1 v0 M+ \0 R% Q; z7 Nlocal-reputation
7 t( L( L# _+ j7 |& [; x3 zglobal-reputation
( S, h# Z2 w4 c' d( T; f" X) Ecredibility7 u+ h+ R' g9 X4 p D
;;评价可信度,每次交易后都需要更新
! t! P M1 l( v V+ ucredibility-all' G% f& \. C1 c3 p' N Y
;;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
2 t9 P, H8 S6 y( o Z6 V' V. V0 B8 v$ g- b x
;;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) D- w6 ~! J. H Y* t7 u* P0 F
credibility-one
) S2 |, \! s$ T- c8 p;;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" Y( A" @, p3 T3 ]# Y8 F; }" T0 Z
global-proportion
, ~+ n; J7 A0 Acustomer! T0 Q( a! R/ D% k
customer-no# ^3 c, r1 f. F$ g! ]
trust-ok
7 @- Y! ^3 u: [3 Ktrade-record-one-len;;trade-record-one的长度
& L# W( x- }$ I( f q2 ~( o! Z' X$ {]
3 I, V7 C% ?1 m0 M I, L: }
! ]. U- n% f0 w" I B N+ s) l;;setup procedure' ~* s w3 ^7 y7 R$ Z x+ o9 ^
# c; g# E. w2 v# Rto setup
+ g, G5 N- A9 U" Y* C% O
! ?, V5 Y5 {1 Q& ]ca6 i$ H, ~2 u3 @/ G1 {& e% e
4 R( T$ p( S; c
initialize-settings
' |2 y# Q4 z0 Q/ A! e P; r1 D& Z$ F* Z* C3 _
crt people [setup-turtles]
. Q! y. Y, l" m- q" N8 p1 P$ q
+ S% P* x! X, P, d6 ~5 x# mreset-timer, r9 k/ b3 X& q. }8 `
* b/ `! }- e) t, ~poll-class
& w: c4 w: ]/ t" ~8 p0 V5 m4 g9 ?. h
setup-plots- F4 p" v4 Y' h3 O+ R
5 w7 c3 a1 I1 R5 i1 `( p( d
do-plots& {8 e9 j6 x3 ]" E
end
6 q2 X! d, d9 d2 y0 t
* O. D4 b" o; y/ K# J: Hto initialize-settings
( M1 J- \( @, {9 u2 h
" h3 P- V5 J% l) F7 X4 nset global-reputation-list []
/ o. X$ P. e$ t; r A) O! m) \0 Q2 L. e6 U: ^
set credibility-list n-values people [0.5]' [' _! `8 a s; [ N+ p4 u
+ i; @' H4 s$ I1 R7 eset honest-service 0" }3 Q9 n& s, |/ p" A* ^. `
6 v2 f9 L E# w$ N: H2 v% }* M
set unhonest-service 0
5 ]2 Q: a B, X6 W; K* q- |4 h' l" A* Q. I7 B6 l. E# _6 ^% c
set oscillation 0# ]) L h$ } w9 R3 @7 I
2 I% e9 T' u9 J% j# m" F$ J
set rand-dynamic 0: b% g3 i/ p' T$ g8 b
end
& c7 b* B( B3 h0 i* u: y6 g" B2 w- E2 k u
to setup-turtles
- m: [5 Z$ T" i, tset shape "person"
8 y; ]( R5 y' `1 X K( dsetxy random-xcor random-ycor0 K. i" M& n) s8 r4 P
set trade-record-one []
( x$ y5 f- ^8 H. Z: m A! s& j8 a, @# R5 V, Q
set trade-record-all n-values people [(list (? + 1) 0 0)]
m* b/ t3 U5 g+ H8 ]- h& v
/ q7 P- K- D- N; M7 T) hset trade-record-current []: E( n* ^: z1 n* \( K
set credibility-receive []
( ^8 |+ ?2 s( |. U; hset local-reputation 0.5
! R5 R2 N; |, j* Uset neighbor-total 0
( i! p% T9 U7 M- y9 Dset trade-times-total 0
( }6 q* d* M* x- O* Z8 a! i! }; }set trade-money-total 0
I: H* w0 b& [6 ~! Q) g0 O; V5 `set customer nobody1 Z; k+ Q6 N& W* N
set credibility-all n-values people [creat-credibility]% a; P9 L4 A2 P3 X! k! C) V
set credibility n-values people [-1]% L; |, d. {5 z$ t/ j
get-color6 P# B' O, G3 b! `$ r3 C6 H6 X
& y* d! z, u, A5 @* `; ?/ o
end& G( ~) ^9 i0 V& _
' }2 O+ g4 W6 h# @# Z- F# jto-report creat-credibility* L& f2 w& j" N; O) s
report n-values people [0.5]
, l. n/ _1 X0 W7 ]( u } p, Hend
3 U2 s4 i2 w6 c; ~0 z- }) H- A" } m* I* X; J; z! R
to setup-plots5 U1 \* z$ g/ a( s6 s, ~& w
1 r$ d, t5 x3 l! Cset xmax 309 }6 d- p v" N8 v
( F& t0 t: V$ V8 S2 [2 f8 Tset ymax 1.0" g) N7 O3 L, B# k$ \
1 P7 H% Z/ L5 N2 {clear-all-plots
; ?# H E3 P3 w% u8 V/ C' Z8 M3 C ^1 J. V6 i+ o
setup-plot1
: U0 H2 V3 x- I# ]- z/ y
}* e+ k+ C, I7 o7 \setup-plot29 s( g- V+ z3 k
2 ?7 m* t1 k. Y! q* _. h
setup-plot3
) |+ k( f/ H- p) m; B2 Hend
4 o. `: f0 Y; Z9 F3 K
; `5 h- Z8 S' A( ^+ v;;run time procedures& M; G# ]: l! @) [
# e4 j( Q- L: {, L+ `6 U
to go
5 c t: f5 o& v w" f0 c5 z, y/ e* \ A. e' F9 d8 W
ask turtles [do-business]8 ~: H" Z5 z. z) [4 E& Z9 u
end6 u( w% a% X) P3 [: A
. g0 u$ c# i9 Q/ ]) h; uto do-business
6 v2 `- t* H5 v5 W g' o
3 o" ^" U: F# _1 c+ ]0 B1 S, q0 m# ~) N. s+ O& w
rt random 360+ T% g- I: D) m" O8 g* |
) J- T, u: O) \& P Y
fd 1/ N4 H' ?1 F! q7 b
0 t, g5 \# @3 ?$ x: nifelse(other turtles-here != nobody)[4 F3 |" m+ L" Q3 O# s& l; ` e k
* m2 G1 J7 }, mset customer one-of other turtles-here* ~' Z) _3 P: E" c' f" s
- i& d# A! Q7 R* q9 ]. K8 X; f
;; set [customer] of customer myself
( ~' D8 o4 {8 r: J% j5 y( P3 k; r: N, F5 N. G
set [trade-record-one] of self item (([who] of customer) - 1)8 A u5 o8 v! q: ?: y
[trade-record-all]of self
' _) f' ]: D$ k; ~;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self8 A+ h i4 d" p1 t; \* N% ~
* q" L2 }& H, f& b- y/ oset [trade-record-one] of customer item (([who] of self) - 1)
4 L" v* f6 W7 y, o4 M1 ^9 @( z[trade-record-all]of customer# X# r" z% t& E! }, O6 h
6 J8 y# y7 H: K2 M
set [trade-record-one-len] of self length [trade-record-one] of self
: o6 z, L8 t/ |3 q4 k
: I- m& p2 E& ~set trade-record-current( list (timer) (random money-upper-limit))
}4 T7 W; C( o9 v" v$ G0 o( h* x4 X0 i; H2 A
ask self [do-trust]/ h( s* l4 Y4 X _2 h% s
;;先求i对j的信任度% p; Z: D9 H o4 Y0 `! F3 ^
- b5 _9 K7 k) r* @* _. y$ sif ([trust-ok] of self); ]( \% @ P7 N. \& S$ h* ^$ i! u
;;根据i对j的信任度来决定是否与j进行交易[1 o- S" [/ d3 p9 j
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself: F. y" }% a% C, ]- A5 {1 ~- _$ c Y
s+ C( m* M, c) X4 J6 [[
6 ~* ^8 U- u. I( o0 q# b; M: }1 Z. E$ [, L( J3 u! |
do-trade
- T* p6 ^+ k* T6 z8 ~- z1 S1 p: ]9 ]! P+ i7 d$ X
update-credibility-ijl! v& a2 B8 ]3 V' }/ S$ J% k5 R$ l
# v+ K: \5 z0 l, y6 n2 i$ B; [- @9 R
update-credibility-list. F( V% D" M+ H+ A, P. @
. A3 B/ L. Y' h( S
* g7 F0 [& ^1 O. |update-global-reputation-list
( O! m; y# a2 c& \/ E
6 f' A. {. P0 E, D2 N$ t2 Dpoll-class/ \' v* y6 R% ?
( E1 D( U- l, D4 P: v m
get-color
+ P7 T1 l4 v3 Y j' [' `1 x; [+ l6 e6 X8 A# X9 b1 K1 v1 s3 @
]]
/ o- V7 F6 t4 O1 i) e$ b2 e f1 M) `6 n. q: O7 A
;;如果所得的信任度满足条件,则进行交易
5 @) j3 O2 _' }3 \4 h% ~, @" g( z. @4 q( @2 m5 m; s
[
" C( \$ L6 @! |3 b: q# h* K. \8 D* O; s; q% ~
rt random 360
2 D+ u D( n; \* h9 E
5 ]+ V" s0 l) q: O+ L' f* Nfd 1
& D6 G/ t1 [( u: v/ S4 g
" P4 k0 V' a! W& y]
$ {5 } O% K6 s- d, F, C8 D, y6 J9 o4 M& E
end
# k" E2 ^" @: U3 _7 ^4 v& ^+ s& ?( I! [
to do-trust
1 n) W9 Q4 r! V! v3 E$ u8 aset trust-ok False
- B: s9 e* {5 @: C; @, a+ x' P1 B0 T! a- Z z) _
4 U3 E" J3 ]+ ~
let max-trade-times 0, |& I- c- c& k) }0 z
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
1 q( ?, W) E! d# \$ {let max-trade-money 0% B% m4 y! ^, M% C+ g6 e- w
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]8 I, w( ]: P- Q. s9 H
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))0 B7 h9 w& @& x' }2 P- s" M* b
0 s }% n0 y# ^; z1 r/ J7 \$ ?( k- p7 n
get-global-proportion
, b8 ^5 ?2 i& L, Z4 d: X9 b5 Y2 Olet trust-value
1 ]6 e+ Y9 ^1 ~$ `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)4 L7 U. Z9 M' R! R
if(trust-value > trade-trust-value)- ]0 [* w$ z: O8 D# u0 l
[set trust-ok true]
4 K7 ?; |8 G& I% C* _- ^, k' lend
0 O [7 Z! @% _: U; K9 e
9 n9 |& {$ I9 _* s) c! X6 S0 i fto get-global-proportion
; i9 i5 A0 D8 c8 {! Q, o2 lifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
) a" |3 w7 l; y0 J[set global-proportion 0]
" P# `9 b, j U6 O) ^$ j[let i 0
# w* }8 w: S% x8 _let sum-money 0# `/ { b& U% w# q6 W# a
while[ i < people]! c6 @0 \8 _9 l
[
, Q( D& F9 u. Kif( length (item i
. T& p+ t1 t- Q# O3 ?2 o# ~* S[trade-record-all] of customer) > 3 )5 X0 K U) H8 O4 U1 O
[
3 ?0 ]: |; X) M6 a& Eset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
9 w+ _& Z8 U0 |6 o6 H2 n9 ~' J]+ v, C) I1 I7 p
]9 A6 r5 E5 B3 z/ E _" `
let j 07 q3 y7 g9 ^3 R3 Z* N
let note 0
- ^. `9 e8 C3 E, S+ q; F% zwhile[ j < people]# k5 ^) f5 o5 q1 N
[, e# c0 R8 O+ B
if( length (item i6 d5 l$ |, C# k+ G$ t. y& x$ p
[trade-record-all] of customer) > 3 )
( G# x5 v& X5 R8 M( y[
8 ]) G+ Y% e0 q* Zifelse(item ([who]of myself - 1) [credibility] of turtle j != -1) F- X# i% `: o5 F$ G9 @6 R5 i; l
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)] F5 y1 z+ F% f8 j* R4 q4 |* B X+ g
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
- R% d' e2 x5 l' F]
5 l! i7 v; c4 k]9 b) }' f' u, x( v$ \; v! Y, f
set global-proportion note: ?2 L* V ~9 R* F0 Y
]; P7 [ k3 S; w6 r E, M( a
end
# L1 F+ `0 b( I: ~- a4 x* n9 n
8 I0 B) a, \1 [1 t/ Jto do-trade# { y R" P5 e0 W; B
;;这个过程实际上是给双方作出评价的过程( h1 ?- c' p1 m/ o4 a% f* T3 `
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价0 z( G W* V u( ?/ t4 x
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价( u$ ?7 U$ ^4 F8 b/ Z
set trade-record-current lput(timer) trade-record-current
: [# K) D* C* y+ y j( A' u;;评价时间5 [! t8 p: Y5 d8 S5 o. v: W$ T
ask myself [
. o* H) ?9 c8 oupdate-local-reputation4 a6 n. Z4 z5 y H% B+ {! B
set trade-record-current lput([local-reputation] of myself) trade-record-current
5 }8 t' F: A3 G% N- [7 J3 S* y]' d6 V4 P# ~ I& f7 Y4 N
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
3 {! y( \6 t8 ^8 z$ V; \1 Q;;将此次交易的记录加入到trade-record-one中; x. G$ R& \. ?
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
" s1 v2 g& d, c. ]let note (item 2 trade-record-current )% j) V- @2 Q5 e% i
set trade-record-current; P& f; d* O& [/ N9 F
(replace-item 2 trade-record-current (item 3 trade-record-current))
, z$ `# `. m$ b5 C- F0 J8 {set trade-record-current
0 h+ g( q1 j( R) f$ S(replace-item 3 trade-record-current note)# c: s" V# u8 l: @3 f _, E. x
* ~3 T# a0 b0 c; k0 m7 O% D' [
; \- D7 I" P: C+ J& f3 [ask customer [
" S$ E$ N$ }8 x+ z Gupdate-local-reputation2 s) E. m2 T0 ~4 g- ]4 H! W1 d
set trade-record-current
+ O0 t5 }+ z. v(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
. e( C4 s7 R+ S3 k( k]" ^8 @" o* j! }; [4 q p9 e8 q: {
4 ?6 w+ R; y) g. c w# e
+ q2 _" J, o3 D/ G9 Y+ ?( kset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer; a: c& w) G- F' A; T3 M
! f) L1 `. _) B( bset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))# r* t A3 F0 U2 L5 n5 i
;;将此次交易的记录加入到customer的trade-record-all中
! f2 f& Q" Z0 D6 _% nend
( ^5 F( D5 ~& ~) T0 H
$ f* w( j6 T6 kto update-local-reputation
1 y" _1 q+ g) G8 h, ?9 I# ^set [trade-record-one-len] of myself length [trade-record-one] of myself
* D' h/ o8 w! B0 T) i5 _
' R- ~# T3 f4 W0 h) H. D! R( Y: E6 c2 t7 M7 [: J1 z- Q
;;if [trade-record-one-len] of myself > 3
, q+ N6 G& V' b! qupdate-neighbor-total0 E/ X" i4 \5 b7 L. U& W
;;更新邻居节点的数目,在此进行
& k, p9 T/ W! ]- d V( g W& X5 K9 Hlet i 3$ B, ^- h, v+ T: ^+ K* A" ?6 P
let sum-time 0
# W! e, j7 J3 g1 f) @# r+ Fwhile[i < [trade-record-one-len] of myself]
. D9 l+ v' V& i[
8 h4 a. l/ E# l0 P0 }$ Dset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )+ I- j, f M$ J4 R) f4 ^% p
set i) }9 W4 g$ G7 G' `; ^
( i + 1)9 S- m; {9 ?9 {0 U6 _/ {5 B
]
6 _' ]4 i) f/ _& e; clet j 3" k1 q: B6 ]+ l; O
let sum-money 0
+ q& Y+ M( z* z& O" D/ U+ L0 _9 M2 {while[j < [trade-record-one-len] of myself]* A) Y H% O2 g1 k# e
[, Q- {+ F. b3 s% c& J
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)( L5 l: j! z: o+ j5 h( M7 U
set j& g' l9 J; N0 }
( j + 1)
4 h# S/ @, z% S+ H" k2 ~- G6 n]
4 e, w; O4 w. C) W& _let k 3
3 R- t4 h. ]7 Y; W( H: Q2 m( xlet power 0; B/ Q4 P: B3 g/ ^( ^" Q A! \
let local 0* ^" A6 j4 z0 ~
while [k <[trade-record-one-len] of myself]
7 Y7 b! E; x" P, v& g[
/ q) z8 s8 [* g4 G0 Z. yset 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)
$ }: w1 P1 ^& K7 Tset k (k + 1)/ A$ e t2 W7 D: P
], [# r+ b! Y! a2 n
set [local-reputation] of myself (local)
4 p, {2 b2 m9 P% r2 Lend
- f& q% G* G) T7 [1 V1 A6 c `- C! @1 ~# X# j$ }% [" J
to update-neighbor-total0 Y7 N% D2 [5 R7 l' h
( ~% k! V+ W+ _if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
, o/ d: {: t0 ]" |0 m- l: s% Z( a' E4 X
& q o9 | f+ j, N, [end6 {# N% x, {5 {. ^1 { D' A
% o+ q/ I; q+ y% ]to update-credibility-ijl
7 B& X% L) [% {6 L, O
- z- L% s0 t- O4 E8 |, d7 X6 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。. W9 ]1 m) n, e; I' {1 Z" e
let l 0$ p2 p4 l @" O% e& B' {( U
while[ l < people ], X* y: i- P: M; p/ k4 t
;;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
2 l* D4 Q. P* t, [) @( j1 i[
2 M9 Z* x. S. k8 c9 o8 l% \let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
. \3 K8 g" d5 x; fif (trade-record-one-j-l-len > 3)9 G' X7 J$ C* A8 K8 p G7 K @, L
[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
: U+ l0 K0 E P0 q! g4 flet i 3/ K7 M6 m0 W) G# z( O. q# a- z" A
let sum-time 0
4 C: Y3 E- h9 W$ l& Iwhile[i < trade-record-one-len]( I2 V% [1 P9 v
[2 U2 Y5 G* v- [4 } R
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
. }. Y7 y# ?4 w' l# |/ {3 U+ Bset i
. `6 e d2 D" k( H( i + 1)
5 h6 P& T& K1 [( l! a( G5 q]7 W8 @, }0 N# F
let credibility-i-j-l 0
; X9 L( P* d ]$ ];;i评价(j对jl的评价)
1 B& z, Q, h/ j& klet j 3% V% G3 P% \, c6 Z: b6 S6 B
let k 41 g- Z9 T J1 e, W$ d
while[j < trade-record-one-len]! v9 V0 D6 y6 i8 m% L; i9 n6 }
[
k" o8 M& |( b+ {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
- X" ?# Y" K' [* j1 W3 d3 Lset 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)
2 k7 ?+ t. B' ?* cset j
$ }; {; {+ l3 f. @0 H- t( j + 1)
+ z( k& X8 A" t% o& _. k5 ]$ {]. o2 ^" M/ E# C# D( I, R. T! B
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 ))# [5 W, y- N( o5 n
5 M( X& K3 `6 {# T
1 q+ q. S: c L% z' Ilet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))0 L# o4 b! Z2 M% t! |* J1 Q
;;及时更新i对l的评价质量的评价+ |$ z# ?1 Q2 \% l
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]7 L+ s" ]+ j0 o1 ?
set l (l + 1)
0 [0 R2 t( n8 P]- z; N8 S) e) Z5 B; Y; g2 g' c9 m
end! D7 d/ a" l% ?. ?! r
; ]( @; Y5 _: P4 s, Uto update-credibility-list5 N" B$ w. ^5 S
let i 0
! i! N$ F/ i" Ywhile[i < people]" z" R. V" z+ m/ E8 [' X: A
[. ]: P; ]% F9 v( u
let j 0
) i3 q* i0 K* g: m3 Vlet note 0
. ~# o/ n* S3 p$ jlet k 0
, O& _7 E- Y' b" e. w, G2 c;;计作出过评价的邻居节点的数目
/ J/ D0 [0 R# W8 d* }& `while[j < people]: v) Q% n' g+ m
[
' v9 s3 S2 _, E& y5 n$ b( lif (item j( [credibility] of turtle (i + 1)) != -1)0 Y" q: |' F% c$ Z2 @
;;判断是否给本turtle的评价质量做出过评价的节点- t' |, c: ]2 F, q, R
[set note (note + item j ([credibility]of turtle (i + 1)))/ \9 T# d1 c! ?: o3 q6 ]# R
;;*(exp (-(people - 2)))/(people - 2))]7 `* I* C% c- _
set k (k + 1), q; e8 R7 d) I) F+ c6 ?7 h
]4 M- D. i. V/ Y; {5 w% u4 A0 a# l5 y
set j (j + 1)0 o; ^8 V m; ], q2 z V
]
( U9 U6 C& L, x. t! o# i$ \set note (note *(exp (- (1 / k)))/ k)
5 R z4 O y) L& M- `' w9 qset credibility-list (replace-item i credibility-list note)
% e% t& k6 ~+ W/ d* L1 N! aset i (i + 1)* u2 t8 z1 y1 t
]
0 n) y& X) b I1 o% T$ uend U5 S6 F a. b c3 I
6 k1 W0 n; h" Q4 `to update-global-reputation-list2 ` @" @3 @6 t2 t. A' a3 ]$ J8 S
let j 04 {0 E$ R! V) p9 A
while[j < people]
v1 P% w' y' R[
4 l6 i3 W( m$ L6 H) R- Elet new 0
/ W& X4 w1 B" `7 Y3 ]% \;;暂存新的一个全局声誉- b- C$ _9 P& |: l
let i 0
' F4 }; P& C! @let sum-money 0
6 @ C! @; }# P! a! O) K; Wlet credibility-money 0
9 y; |3 u! l( v6 `while [i < people]
1 d7 J2 ]9 H8 i4 j[% V7 y+ H7 J1 G9 O- B
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))8 W1 H+ \6 D* }8 C3 r- r# f
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
# O* b! B# C! G( i; l. wset i (i + 1)
: P* o P: X+ x4 u]4 o: B6 ]" K- i( Z% l# `# x
let k 08 c6 k4 L6 z$ V
let new1 0
1 O7 J' a# ~7 T4 H" l- c5 l% Lwhile [k < people]
1 `9 T# p# C+ b* a4 l$ r6 W[
& u& E3 j; |7 Nset 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)% _( X4 V6 o6 Z- r* b
set k (k + 1)
& g# ~3 w/ K7 I7 |5 R( o]
. j9 t/ @9 H2 p6 y D1 Gset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
. L9 R) q$ r* C1 ] T* G/ Bset global-reputation-list (replace-item j global-reputation-list new)5 h0 l( i3 u& J
set j (j + 1)
9 T. t& W9 c; V/ ~; I2 I]
% B, B0 s- B) ]7 Uend& T' q- U: l0 j* N2 V T- \# d9 h
- e4 u A7 A& U; y) I
1 o( F9 t$ J& A# V1 b! W; U* q- B! H- |1 M }
to get-color
; u) l w' t" X) J" O6 r+ p8 ^
7 m2 ^: n% ]9 zset color blue
! [3 t$ \. Y# @) aend4 k4 ]) Y1 `& Z
( y& @( u- {; e3 N; {to poll-class
# c8 h. T4 ^" X" X6 pend
4 L3 B; q+ ?8 N
5 B8 H& w7 L, L2 S2 c2 t+ Q5 vto setup-plot1
2 e& F$ S$ q) C
3 Q6 i5 H2 `) K1 o1 v6 d& I" Eset-current-plot "Trends-of-Local-reputation"
: M+ u8 D! X7 T% |9 I j/ G( ^
3 @0 X& n* X% z. T% I" K( mset-plot-x-range 0 xmax& G7 v* K3 c. {* p( p- @" g2 d, }; l
+ ~: R8 [, K+ ~3 e- a8 C
set-plot-y-range 0.0 ymax
3 P9 j: ?* ~- J% A9 n" R4 fend4 M! H! s8 _: ~6 ?
7 I5 W- N0 u0 V+ y% a z0 Hto setup-plot2
0 P# W" n5 X5 B s1 X( S1 }: z( e! x5 E) H& J0 q
set-current-plot "Trends-of-global-reputation"
, ]) J7 _+ l% I# J4 ?
, f6 \% {5 A9 k& Oset-plot-x-range 0 xmax1 N' N( v9 Z& j n! B1 `) n8 Q
: C$ n6 B( g: P6 q" L' K
set-plot-y-range 0.0 ymax% T! D" P3 }0 W0 ?$ Y) t
end
0 ~+ Y! A& N+ ^2 N9 k8 S9 ~- \, g2 C
( Z( z; H9 U1 y: f/ wto setup-plot37 w5 Z0 z7 Y5 k6 \* l6 Q" u
4 {: Y5 i ~: R9 m8 Z) B; l9 s7 K
set-current-plot "Trends-of-credibility"
4 D* K# A B0 O6 Q X
- Q$ y* j8 N5 Lset-plot-x-range 0 xmax
$ C- i9 P& W3 Y5 @+ R8 e
- c1 C+ c# F3 ^/ m3 J p9 _set-plot-y-range 0.0 ymax" H( {$ i+ K: c$ Q# a7 R
end4 ~5 }5 I+ P( p- I! N; ~
1 J _7 b" D% j9 p: i
to do-plots
4 h: z; H4 r+ M f/ zset-current-plot "Trends-of-Local-reputation"
5 ~3 H& D" V, i/ o& d1 gset-current-plot-pen "Honest service"3 N/ G$ L- E9 M% R( h" j
end
! H: P x- J9 ]3 Y
% J/ C1 \) @( Z+ T+ ?/ U! C# }[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
本帖子中包含更多资源
您需要 登录 才可以下载或查看,没有帐号?注册
x
|