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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
! W: W# W) |" O6 r5 Mglobals[- K4 _; v; v4 t0 w- S4 S$ D5 L
xmax
6 a2 l+ I5 S' b' U. S7 Pymax3 o8 D. y+ n( n
global-reputation-list4 k% I( p! z! ]
9 z% l2 K0 ]1 F- p# I4 Y
;;每一个turtle的全局声誉都存在此LIST中, Y, J$ s/ ]# k( c9 E
credibility-list; a, ~! @2 W3 b- @7 ~. s
;;每一个turtle的评价可信度4 g: U& r8 `3 n* v3 n1 i( ^8 x
honest-service# A1 g; G' H! Y; z/ m7 \
unhonest-service
8 ~. h4 @# d# Uoscillation$ ?) x. q* b7 y" p
rand-dynamic. W4 P J& w& c( J/ ]/ c8 x/ F
]
T/ E* U6 N8 ]; T* W8 x" Y0 V! g3 Z+ H1 }
turtles-own[
. }) N- s1 _. s6 G' z5 ktrade-record-all& @9 D; }$ X4 W# V9 q6 ]6 V
;;a list of lists,由trade-record-one组成
0 D( Y7 n$ {. e! u4 Strade-record-one
. q6 X1 {0 v# }% |2 ]' M( Q;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录/ I5 [4 q, V8 {, a' e% i, q! l
9 w. ~1 s3 K% }. ~! O;;[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]]7 J5 S6 e% S z: F
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]
; A& f3 X, l( k9 O, P% u* Xcredibility-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 V2 H1 e2 z9 B8 \6 Yneighbor-total
6 f/ g }1 B) k9 _;;记录该turtle的邻居节点的数目
_! N/ W/ H6 h5 [, H8 W+ @trade-time( W5 a7 j$ J+ [& E, E
;;当前发生交易的turtle的交易时间
, s3 `- m; { e. Zappraise-give" J# p. v3 I+ X
;;当前发生交易时给出的评价
8 F+ V$ N. G0 jappraise-receive \( F; V! s' a6 H7 w( t
;;当前发生交易时收到的评价
1 i: Y7 e) w8 f- I2 K( V$ ^appraise-time5 s8 H+ O. N |2 t! n
;;当前发生交易时的评价时间
4 X$ _% O- Q4 d8 llocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
' b. m& j: {4 z5 X: T$ b# L% {2 {trade-times-total0 g$ E9 }& T' d# `$ g
;;与当前turtle的交易总次数2 @. \" l& H/ m$ N
trade-money-total
% U, [# C! D8 q1 [' \& O;;与当前turtle的交易总金额
" D2 b. K2 K) N3 blocal-reputation0 ?1 ?! k$ g% }2 W; Z+ ^" B! H
global-reputation2 m# v, G( s3 p" N9 x9 z( \
credibility" \. }. w( Y( c1 R# A' a+ w: ]
;;评价可信度,每次交易后都需要更新" e# A7 A6 C' B
credibility-all# P+ ~+ Y f M/ \# ?8 _( c
;;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
' I* e( a2 D, r# R J, j7 S+ p; i# \; l9 l8 L6 P! G/ H
;;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% |1 _$ L1 G& S9 T \0 Q
credibility-one
# {; S# @( `/ U+ z2 x0 i;;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
+ |* B& j: y1 hglobal-proportion5 m8 R6 J" _5 s% F* w9 W
customer
" F" B. U* A6 F9 N- vcustomer-no: E& l J. t7 A, v3 t
trust-ok
7 h$ R/ B# I8 @2 r& \trade-record-one-len;;trade-record-one的长度
0 T5 e0 T* d" O) X9 D3 m j% |]0 n' Z, i, r0 j7 W+ }" h
3 W& o0 d1 D9 Z;;setup procedure) L7 A7 B5 S% K
" r4 i b( I% x5 ?* Y# _( }- o+ H& ito setup
1 u+ U$ o* c& S: ]& i8 q# s9 V8 ~4 T, ]. `) w: n
ca# q$ B8 h& G8 J- S. | w
/ e2 k7 ~, d! z; I; ginitialize-settings
! l0 y' q! o, o0 M, G& i7 `9 S+ a- D3 j0 B& Q( C" |- k
crt people [setup-turtles]
5 b4 T3 R! Q- w9 n2 r: {1 h0 @* H) F- F' F% s8 @1 C
reset-timer! l6 s) g2 S- s
9 N E! O' V% F# B# U) c0 lpoll-class
; e& U/ i% P7 ^# } p8 M9 ^/ e4 X, Q, G1 v) B
setup-plots% Z8 `4 \4 u' j
h* C$ ~; ]8 R# h8 ^do-plots6 g7 c9 K* K. n, D' F# ?1 k$ ^
end1 A7 `) W# ~/ |' x( Z
! R1 L# S" k7 r- I. P
to initialize-settings1 M) S8 Q- K3 d% w+ X7 c
* [/ Z$ N; p9 eset global-reputation-list []
% a: `% H c) ]/ i
9 e# j; Y1 V) {% Pset credibility-list n-values people [0.5]
) c$ N( e3 s- L7 ?/ u1 O! s4 L- E0 r5 }
set honest-service 0& A( ?, J% c/ }4 \# v- X2 y
8 z* t. N3 r$ ?, X
set unhonest-service 0+ E D; x- h2 s2 O: A0 C. a
; f5 o+ H9 A% J# s7 u+ H
set oscillation 03 h; z1 Q$ r# ]! h5 }
- j& n3 X' | c0 Y: Q: kset rand-dynamic 0
$ x1 [" e" z4 @8 W, k' Eend
/ }3 T( j# K+ p, K% V! ~8 F0 f+ a' w
1 w5 [1 _( ]$ m0 C2 C2 d" H8 Dto setup-turtles ) @; X* g. N' c- K& d; t
set shape "person", z& d5 \9 _% k. T( K; O
setxy random-xcor random-ycor
9 t! X+ t' l. f+ Y4 kset trade-record-one []* H4 N+ a0 ?9 T3 G; i' s4 s
. ~/ S" @ P- N! b1 h/ V9 @. {4 Dset trade-record-all n-values people [(list (? + 1) 0 0)] 6 o o9 p- ^' j6 Z- T& M ]
% Z! H- p$ b- y' ^. L$ W" p- \- S
set trade-record-current []
5 l1 Y5 ]* P3 Wset credibility-receive []
1 Z5 J9 B0 P) g! K Z3 ^& Vset local-reputation 0.5# m) g) k. A2 ~" V5 U" |
set neighbor-total 0( D5 K% ?* r4 [3 f2 _
set trade-times-total 0
; D. g6 |4 Y4 Y8 N) `9 u' c) xset trade-money-total 01 _4 D% {% b7 V: {$ y3 q
set customer nobody& E- a8 ~4 a8 d, ~- R8 x9 d
set credibility-all n-values people [creat-credibility]4 S" z% Q4 k8 `3 A* Z4 w9 `' H4 }
set credibility n-values people [-1]2 k) _- K8 i: }- {
get-color
7 ~7 e- e: }6 `" z6 F- y% ?: Z h! U
end1 E, |0 k& B# I" o5 a1 e' n s s
) d0 b7 Z0 y9 k4 t3 a9 G, h0 \7 Lto-report creat-credibility2 o& J) n) r: S1 Q. c
report n-values people [0.5]) c) Q; w# Z" V7 R' T
end
( T; d! \- |9 ^5 x9 W0 ~
6 i* F( k5 k) R* e0 y$ M+ S' _to setup-plots' p5 J/ y$ Q( |4 r0 g+ e1 F9 `7 z
; f4 e3 B/ W5 U. i) R5 sset xmax 30
; z9 J$ C9 `: Q" c% t7 N+ p1 S1 h" w
set ymax 1.0) | @/ Q7 j: ]
2 b, Z9 N4 \- Aclear-all-plots
1 @ Y, [# G- h* ]; z& m' a+ A
0 c" R3 O4 Y( E- B& Asetup-plot1
; d {& f5 |+ o0 e% e- A" _
1 g$ `; F+ B0 g; i1 [" ?setup-plot2
9 j3 R5 A, Z5 _. w
2 z0 f7 N) m7 H. T) x* R5 hsetup-plot35 w1 i, c! A+ W& H6 A! k$ G
end
6 g9 x2 b6 U+ x/ g; U9 g+ i7 t ]6 g% e7 q
;;run time procedures$ W8 K" B" f" Q' m2 h; t( w3 c4 d
3 N/ y' C X8 a, o% wto go
7 Q% P6 s, y& I& W8 d' l* m8 w3 j" _7 [+ [1 M- m
ask turtles [do-business]) R' d% _ t. o' N
end' e `/ R7 A: g: B; Z |3 a2 `
8 K6 r$ D* ?' Y Q7 G/ oto do-business
; ` d# R9 A- R1 w) U( ~$ R7 b& T. J8 U( B9 K; L! M8 f# H; t
. N+ C/ ?9 D; w5 z" Xrt random 360
8 B4 A4 ]! n! U* r/ w; s" i" w$ E* n8 t7 F
fd 1
2 _: Y, D! |( @. d# z
- ]% |# I; s! y; F4 H. g7 Gifelse(other turtles-here != nobody)[
0 y' @8 b: L$ |. v4 ]- A9 S5 n6 E4 k" R" K/ W6 v! R, L
set customer one-of other turtles-here" J% y* S& W4 t0 a7 Y+ k, o# o) L9 x! D
3 `1 a: p9 k; \" ]7 V0 L) S;; set [customer] of customer myself, M# v. w3 Z% p; H5 N
$ z! C" E3 E( J7 g' N6 D
set [trade-record-one] of self item (([who] of customer) - 1); u, I" P4 N- U0 N5 Z6 G) B
[trade-record-all]of self$ o ]2 W- [/ D/ E3 M
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self7 O- D' k( v V- h1 o6 t, C+ Z( k
& f5 x1 Q4 V9 B3 B' j; f/ qset [trade-record-one] of customer item (([who] of self) - 1): A! R6 ~3 a# a3 m( i% s1 S
[trade-record-all]of customer7 B4 g# x) @8 [9 C7 m$ m! p j
" ~( E. O* O7 I: ~8 Eset [trade-record-one-len] of self length [trade-record-one] of self/ p) I0 s0 s- h, m% ]
5 \/ p0 F0 P! {( o B8 J: \5 l$ n
set trade-record-current( list (timer) (random money-upper-limit))( [$ \4 X& H7 } a2 K2 N5 ?
! C2 M6 s3 y, M7 H; N6 R2 U! B2 zask self [do-trust]
8 A' x0 v7 Y$ `- M;;先求i对j的信任度$ a( [0 f; O9 r1 U7 a
" ~! h+ E9 b3 Z
if ([trust-ok] of self), z6 ^/ w' w( v% _9 F4 r
;;根据i对j的信任度来决定是否与j进行交易[/ w$ d7 l' p! z, c. ^9 D- p: L
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself, Z1 P8 a/ C( a7 R$ l
) S# w! X9 F `& q7 T. Z" e
[, Q0 ~8 \$ O8 o0 i, o
' _" K, f: C/ O3 U- ndo-trade
( J; \' G4 K, K: n) u# `9 v
( E0 H+ [. w# C5 N) R Yupdate-credibility-ijl
+ |; Q' Y) v. i3 v5 ?3 G$ c7 S* y6 ~# F- n T5 L V4 {
update-credibility-list
" Z, S. t5 ~$ \: O$ ]$ y' l/ Y0 c4 \* _5 v N+ o/ e/ q& K0 ^
0 L4 ]1 y2 @7 G2 G# `
update-global-reputation-list# V$ y0 ]9 R/ t$ |( f; \
# V: A( B" c" ^8 Qpoll-class8 _) V" ~6 Q5 K: |$ {5 i
% m/ @7 @* I/ ]* n* h# T
get-color% C* ?/ d% p0 h0 r& ]4 V
# X- j1 O* i. Q- V# Q" t2 f0 c]]0 [2 l' w( ]$ R' Q/ l$ L2 `# T
# i$ Z" u" X5 n6 l
;;如果所得的信任度满足条件,则进行交易2 y$ I/ q6 y. L6 x, U* b
0 M5 W+ x8 ^$ e1 r+ B. R[; ]6 p# k: Q- j
4 f. k7 y. I& W- `
rt random 360
4 Q$ Q1 x; ]' F) Y# ^1 m/ p- m3 u' J9 f5 E
fd 15 g% D7 _7 w9 m7 a+ b
4 L) W9 |" s# O! d]
, e7 w+ Z `' w$ {* j# I2 Z2 @! p `- Y8 l. G
end% w4 V+ C5 C) h
+ i1 p8 c6 D3 m W# z! O3 v2 d% Ito do-trust
% n6 Z# v$ T9 d5 aset trust-ok False
8 a$ o k. [% Z) I' h) y7 _( _! b" o) p u+ Q) a( q
5 L: K# R- h3 G8 x# r# u5 n! c
let max-trade-times 0
- a- w8 c$ e6 m! `foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]/ O8 O; z$ X$ v5 g
let max-trade-money 09 X3 a$ D1 y! q
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]" j! u4 @* ~; G* `
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))7 Y- _$ X7 }5 W
- I5 v" N# b/ t2 w6 c- [; n) T- \2 S& D8 {9 b& P
get-global-proportion$ w$ W+ r) X! C7 W5 u# R
let trust-value
r0 b+ u J! z- z- nlocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
: J& }4 y/ ]: L" Dif(trust-value > trade-trust-value)
2 a) D; `* w/ ?! \- H( i8 ~9 I1 B5 S[set trust-ok true]/ x( K7 K8 p# K2 D G% t
end( R& H$ g1 v1 Y& c7 h8 k
4 f2 U8 z6 x8 \6 g! Z# y! U
to get-global-proportion. `$ M6 ~! g4 P- ~/ S# [
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)! b5 A. h3 L2 D# `% V: ~* r k
[set global-proportion 0], C4 }: ^1 o# m8 d0 W7 V/ m
[let i 0
: M3 F3 K i) }) U% E! G( p4 Olet sum-money 0
1 O! b6 g8 L6 b2 Z& d0 Wwhile[ i < people]" m& Z0 e. D* ~' q+ h! c
[
$ ^) H) g- C zif( length (item i
$ [* |. X( B2 O! u6 T3 v4 L- Q[trade-record-all] of customer) > 3 )
( X+ l2 V! c i0 L[. {/ _( ^6 b/ \8 B* L
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))8 _, Y6 f. U2 g5 j2 g
]% F: [: c9 I; u' N n6 Q5 m* P
]
7 {5 Z' E. T6 |; _let j 0, X7 a% A/ \: l, t8 Q0 ^
let note 0
% r0 u( R% }! T; i0 g& o) Swhile[ j < people]
, N) h) F& [6 m( G4 ~ h8 C7 c8 V[+ }& K+ y4 W7 U
if( length (item i
# X8 x9 _: O: d# L# }' @% Q9 A' F[trade-record-all] of customer) > 3 ): N' B5 u& `; H- h
[5 h2 J3 M0 s* V2 c$ R
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
2 ~. f2 y0 o* D3 D2 }! E[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
' p: K7 A& D' z' ][set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
0 d- a- |; h6 v]
6 q1 H; ]& M( `. E1 e]
y6 C+ u( u0 T( U! nset global-proportion note
2 F2 X# h1 t: n* v0 A4 D]) W- u% }5 @+ q9 E- p
end
* e7 z- O5 @) v2 y4 l8 E0 b4 d4 m- i
to do-trade8 K4 W3 b2 \ b8 t4 G& ~0 b
;;这个过程实际上是给双方作出评价的过程( U+ F" E" _% L" C0 k
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价9 X1 q' I0 b. ?8 V0 {! w
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
5 M; b6 k) U$ I4 {set trade-record-current lput(timer) trade-record-current$ p5 Q4 X4 T9 O+ n, }1 R1 i
;;评价时间
+ [! {. n$ W, o! yask myself [! T+ ?; E$ G9 x$ s+ d/ g W6 L
update-local-reputation) G" Y( Q7 b; I; T3 }! m+ ?
set trade-record-current lput([local-reputation] of myself) trade-record-current6 w/ \, V" |! Y0 n, x: k% m
]7 ~0 o' v3 z8 U8 @
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself' c+ Q/ c7 y3 _7 m! U& o/ W
;;将此次交易的记录加入到trade-record-one中
* b' w& d5 Q6 L# X# ^set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
% J; N- o# a/ X" \let note (item 2 trade-record-current ): E7 c! k3 E7 v9 Y6 |
set trade-record-current
* U! {! @2 P9 X9 g" G(replace-item 2 trade-record-current (item 3 trade-record-current))$ U( S8 t; G/ u/ \0 S
set trade-record-current1 ~+ j! G8 j* N
(replace-item 3 trade-record-current note)
& k" e& ]* c+ R4 ?" k' `) G; q$ @' S2 Y; H/ |; z
! ]' L8 _+ U6 s# b. J9 x3 e
ask customer [' T# ^, t' q/ x; S
update-local-reputation
' Y/ o$ g( d, K$ c8 E" u: }+ dset trade-record-current( N; K7 z0 h0 R5 r; ~
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
9 T; D. I; K+ z+ g+ U]& d" P+ f; O, k/ h5 R4 D; ^
. J5 U) i( R4 a% l
7 ~" M( T- q4 N/ X8 d( aset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
q. M2 j9 O+ o- k
. N5 o! ^7 ?) X h( D2 D( Vset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer)): N3 G: {3 s, a$ Z: y4 k
;;将此次交易的记录加入到customer的trade-record-all中0 a3 q8 Q5 g! K( m1 W% ?
end% Z: C7 D, U* V* h
& _1 L" K, ~1 H( m% }to update-local-reputation
7 ]( ~1 a4 Z8 j2 Sset [trade-record-one-len] of myself length [trade-record-one] of myself
$ a# y" J2 G$ W! [
% L6 F! c# O. k, w7 l* |$ j0 q4 [; o8 W" V2 ~! l
;;if [trade-record-one-len] of myself > 3
" H1 a7 Q/ ^7 s. w7 Tupdate-neighbor-total
) y X1 {) s8 U6 w; d/ u;;更新邻居节点的数目,在此进行
6 e+ O0 Q) b% ?, Blet i 3
" m& k- P. N# |% J0 I8 Zlet sum-time 02 S1 C+ R* E9 ~1 y
while[i < [trade-record-one-len] of myself]+ Y& G" w9 X+ z" D+ }1 O& k
[2 @& @6 Y* q$ z1 u- o- H
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) ); Z, g/ g, x! P; P( m" }
set i
% @0 ~5 @% O, q5 B( i + 1)* v2 U) ?" R+ G. a
]( G& k4 J4 u! F! K
let j 3
& E1 O* m8 q! p! ulet sum-money 0
( F5 G7 R9 M; G3 k6 h* Swhile[j < [trade-record-one-len] of myself]' g" d- q' b; Q2 C
[
8 v4 N& i: w6 }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), S7 m) @4 V7 M3 X, F
set j2 `& Z5 D6 H4 L( J4 w
( j + 1)
! {- d) T; O7 m- P$ ^. V$ ]]$ V0 D) _7 L, \
let k 3
- n5 v0 \* r7 e( R: [9 u2 glet power 0, T: c) w; Y: \3 M2 ~
let local 03 f3 ?4 ^# L' y. b+ e; a
while [k <[trade-record-one-len] of myself]
' K4 v7 `4 a E9 I[
+ r8 i* ?4 ?( U# Pset 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) 4 Z( g) M* j5 V! R, N
set k (k + 1)0 H) P+ h# W# E
]
8 j8 z& F* A0 V5 ~1 z" A' |# b: R& F% Eset [local-reputation] of myself (local); `' L0 S- H: u
end% A q* i' u0 M( L; j# X4 _. {/ ]
; A0 A) G5 g( g$ eto update-neighbor-total
6 q7 E) A0 [8 F9 P- a
+ k4 x) q4 |8 b$ rif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]+ {7 ~3 |9 y. I1 w. X
2 A1 ^! r" K# p! O
1 c Y& [( {7 R3 L0 ^( j
end
: ^& a7 L+ n& w% x/ w) m. ? i7 V6 I4 M" U7 _
to update-credibility-ijl 6 X7 C; ?0 ?. X) e- {$ X7 h) x
# I4 V5 Z4 j% s& X$ H/ C' V% Q
;;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 C+ `& j" s" o5 V
let l 0! o" H, Z! \) y
while[ l < people ]
# g. G' e% x9 G7 W* C; I+ {;;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
9 E" W O( B; S[
: R! V$ s& P, Q* v& v7 p0 ~$ ^! G4 c8 elet trade-record-one-j-l-len length item l ([trade-record-all] of customer)7 e; O9 E: }/ V9 s; H( N* M5 m
if (trade-record-one-j-l-len > 3)
* `/ a" z' j% D/ ^ G) K0 m[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
^% V [: a6 |) s; r! Flet i 3
3 K9 X$ C5 _: q& w0 S" e7 a) [5 r0 hlet sum-time 0$ X% c, x. a6 B/ Q: V& \
while[i < trade-record-one-len]
" s9 A4 a8 V* f4 W Y% M[ J) V& { L. F/ k7 l4 Z/ o$ I& l
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
7 N. }6 l0 i/ b, [ rset i
: d) l( h4 k# x8 c& ? H% X. v6 [( i + 1)
- c; x& k4 b6 X2 J# A5 j+ o]6 o5 F4 I! f- { N: F! B4 D
let credibility-i-j-l 00 [6 s: R8 ?- S! J9 z% M* c
;;i评价(j对jl的评价)
$ K3 s$ r" _0 ]5 Z% t, |% ?let j 39 N+ {" Z. l2 q% F
let k 4
! Q- k; y/ `9 y8 Vwhile[j < trade-record-one-len]! k% T$ L. d" F, {' Y1 A
[
$ G& R2 c y% M mwhile [((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
/ L& x6 I" w" g- Vset 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)
& a7 ^! b3 c# h# q6 t! O' qset j
, t3 }' Y- y% f% B9 ?4 U( j + 1)5 v$ A$ S$ [" i; Z3 X; _+ O8 a0 n
]
8 N6 ~ q7 Z2 k7 f, ]3 b5 ^9 z) \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 ))' n8 |$ X# L3 ]: h
- h. L9 u, M; Q
: m9 x- y6 _0 Q( Xlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))/ |( {0 d5 p* n4 c
;;及时更新i对l的评价质量的评价
4 e: y: F# [- K5 B( L& v1 vset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
/ B* ~& _5 S$ [7 Z& y5 Hset l (l + 1)
|% G5 F) B2 H2 g* i]
1 @; h) @9 {7 o" p4 L3 z& Oend1 a/ S7 u8 B' U+ z. M$ E
6 v ]/ c; ^3 M9 x) T* R" |: t/ V
to update-credibility-list g; I& p7 M0 \: O
let i 0
6 p7 d: s0 v# g) U4 D! k) B3 D4 Owhile[i < people]& j5 c9 |1 C$ C* c4 {
[
) b. X! R$ q( [) U0 m( f6 _let j 0; M0 c; i8 j1 M* o+ }3 `
let note 01 L8 n+ u4 Z- c9 ]% y; P3 q
let k 0
2 G3 K# K! m; n% z% ]* J;;计作出过评价的邻居节点的数目
- _' Z" @" h5 b# [! {6 c1 Q2 _& D6 Vwhile[j < people]
; o# f' r% J; R4 W3 F) S[
2 D; K( K4 l- i* h2 t3 Iif (item j( [credibility] of turtle (i + 1)) != -1)
' n' N$ x* ~9 H# h;;判断是否给本turtle的评价质量做出过评价的节点! ]. B1 m) ^/ \( y) F
[set note (note + item j ([credibility]of turtle (i + 1)))
' ?* x! N! J _6 b4 z, z- I;;*(exp (-(people - 2)))/(people - 2))]7 ?+ i2 {) m7 P7 {3 o3 L
set k (k + 1)
4 c6 o2 X. [: f+ }+ U3 ~ I+ Q]
" a" C$ x! X# k, q; p; k) S0 rset j (j + 1). G3 g9 B/ E6 |8 E/ o- d: J; `
]
) |) R' k: m( }5 L0 Tset note (note *(exp (- (1 / k)))/ k)/ G$ ?! t( P9 Q1 t/ x
set credibility-list (replace-item i credibility-list note)8 k4 |8 g5 ?5 ~& q2 F6 \8 @. Y
set i (i + 1)
* L" m6 V: Z' M( R: Q5 o]7 H+ Q7 r. n* [$ l; ]% C0 F
end
5 n* b! F: S2 w
" _; W, E! r& m0 V% wto update-global-reputation-list2 _) g4 q; Q# L( F6 j7 m* z" v3 {
let j 09 q8 X$ g* P* S" _5 E3 @! V$ Z
while[j < people]
5 S# T. [0 }8 K3 d# r% H[! b4 X7 v- f% X, }% `
let new 0
. x/ A! T/ d* P1 ^( p' w+ {2 a7 F;;暂存新的一个全局声誉
$ h( b# { G0 d j' t4 ]. flet i 0* D: q5 t' N4 {! s+ b5 [6 S
let sum-money 02 J; Z' O M# a# h* \7 m$ {) t
let credibility-money 0 S. D- u# @ l& j
while [i < people]) O% Q! U n" N' t( l6 O; E# s
[2 q8 X4 l( [% b/ F4 o
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
: \. ~- n8 v r/ S& ]set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))# C8 @8 ?( `1 l% n1 R& m1 Q
set i (i + 1)
w, v1 e1 [+ @2 H6 N+ b2 v. V]. y' i8 o+ R3 G( I! M1 f
let k 0
! y# k) f# G @let new1 0- {5 _) h1 f1 k9 M1 E5 _+ b5 L
while [k < people]3 X7 t; [5 \1 S( U% R& {
[
" G! F% T ]# ?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)+ R, m( O p1 Q) t
set k (k + 1)' l2 R p+ w( G$ r; i! B
]! X7 d! E7 ]) T) c
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
9 B% z/ g' O0 F. A( Uset global-reputation-list (replace-item j global-reputation-list new)
% q- p; M% ` Uset j (j + 1)/ K9 p4 K4 c {* M; |0 b/ L
]
4 a3 a% t; e; _8 } qend
6 A ]# |. p5 M' |
) b+ e7 D% |) v1 H' z$ \! \$ O5 v; h# q7 F7 }
5 \' K% V0 x0 q4 E: O5 Hto get-color! E1 X) V% R" }4 a- P6 `+ s! _0 R
) ~) m3 F# {* F: B f1 a/ o" O3 f7 rset color blue' L" `1 T0 f- S6 n2 ?6 V
end0 L0 c% b+ J/ L( Q
. U8 E" F$ l+ ?; `/ Kto poll-class5 w, ^, r2 |# _/ C: I% L
end* p$ x4 P5 R6 s
7 y, p4 x( C' Q0 U0 j/ H _
to setup-plot1) o% Y: }4 k! v6 m& n* {$ s: f
. x3 u- j; l/ y8 |) V2 Vset-current-plot "Trends-of-Local-reputation", F/ {1 L: B* f+ @; p" i" Z4 k
6 j6 R' e" E3 [1 x; Yset-plot-x-range 0 xmax, B) o6 a! l3 s$ K, b; A
! c$ C6 ~: ]2 Q- X& V# E) [* w( ]set-plot-y-range 0.0 ymax
9 u- p5 S2 |+ z/ Y0 tend# D4 n1 U$ N- f) A
' N; V4 g: o4 p; w1 S( v5 W
to setup-plot2% p ~/ \: j5 M: J. M
; V/ e0 ^% ^. R( D! ^0 ^4 K
set-current-plot "Trends-of-global-reputation" n0 [5 l- N' r
/ S+ [: Z7 J. n9 F( Yset-plot-x-range 0 xmax
: y* V1 k) H& H* v# Q6 L0 Z! i9 P4 l+ x0 ^1 v# f% u: V
set-plot-y-range 0.0 ymax$ S8 m H7 H* L( t, Z% e F
end
- a1 K* A- P6 q% E6 t- U) j B- |6 r
to setup-plot3, w$ p' ~; b8 L3 F" y
& k7 Z2 y5 O' q- L7 d
set-current-plot "Trends-of-credibility"3 X$ N; y- f' F7 I# Q& J+ A. b
2 f' D& a2 w# H$ N: G7 ]
set-plot-x-range 0 xmax
' n! f \% M, i& q) v1 m$ Q. W) ~3 m8 Z# T' T0 c
set-plot-y-range 0.0 ymax
1 D# [3 o1 U D nend: l1 F! k4 I3 u( {( }
3 Q% _1 C7 _& x, @$ @) `to do-plots" q6 \! X% L. n, ]9 J
set-current-plot "Trends-of-Local-reputation"
! N* Q6 D& ]! `8 Hset-current-plot-pen "Honest service"8 b8 \! q9 w9 i5 p0 |: a! {1 ~
end) [4 p+ f$ I4 y* u
+ a: ?& P0 O: `* t6 j7 B, f
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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