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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
( j) z6 u. Y, J( b2 Dglobals[
* [! v2 n) }6 l9 Wxmax& ?4 `/ D4 K$ d$ l5 I- y) d5 g5 U0 V; M
ymax
2 p! A9 M" m# Q5 `$ _# Q: Vglobal-reputation-list; D" ] R# ?9 ~7 m, b7 w
0 q# o8 u- l5 r2 k;;每一个turtle的全局声誉都存在此LIST中
* z" |' f) q) F! u$ }+ [% n# `credibility-list
! V: Y6 e4 u# A! K1 r;;每一个turtle的评价可信度& C" p1 x9 c" O+ V
honest-service! t3 H% r4 W& [9 G" H8 w
unhonest-service
, c9 @* ?0 j0 b% Voscillation
4 O( v; k) G- Q5 Z' V9 q8 qrand-dynamic
- R' z2 I, H0 ~6 A$ z) ~* d6 h& o]/ ]( h$ z4 Y; S
- b6 [2 Z) v3 U( v9 f# U
turtles-own[
- o& f9 q# I4 L# ?; A9 ^' x2 A* ltrade-record-all
9 N B. N G/ r+ k# [6 f' F n \;;a list of lists,由trade-record-one组成0 e3 T! |: o! U+ b' Q5 V7 A' ]
trade-record-one
( T9 ~# S; o/ D6 `;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录# \" F5 k! D1 K
& M( y% I& d; R% l% [6 C
;;[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]]
8 x3 ~0 _7 b9 W- q( d- ]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]
$ t2 b! Z% j9 p6 ^7 lcredibility-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list7 J, k. x; ?7 h& n, P1 t- ^9 _
neighbor-total7 U) ^1 T& @7 I0 V- m; H& R. V# p
;;记录该turtle的邻居节点的数目' g! z; e1 n$ E
trade-time
7 d* W3 m- L& X" l0 H5 J+ };;当前发生交易的turtle的交易时间- n, `5 } l/ a* j, c
appraise-give
9 M0 i% m5 z [6 T- N;;当前发生交易时给出的评价5 d+ H) \+ B4 I0 _! h
appraise-receive
, L+ x% v% J% ^% Q;;当前发生交易时收到的评价4 C; w' L0 T1 M1 g' e# |
appraise-time
+ e2 R2 ]9 f$ v2 u' Z' q;;当前发生交易时的评价时间
5 w. n- I4 ?# p k4 x+ P) Blocal-reputation-now;;此次交易后相对于对方turtle的局部声誉+ m$ P' n4 [5 ^6 ^
trade-times-total
0 N. ~, w, O! V;;与当前turtle的交易总次数2 m0 c# ~' u$ v2 P' k
trade-money-total" ?- j- h+ p+ D+ |/ D
;;与当前turtle的交易总金额- e9 t9 P. B. e& `+ {5 Y
local-reputation
; k3 R+ w& H% r& R3 j8 Q8 q1 j; _global-reputation! Q: d; C! H& S7 E9 k9 l8 h2 k
credibility, o+ Z7 b4 G A- S; z
;;评价可信度,每次交易后都需要更新! j9 L H8 k3 S, f' n' {
credibility-all
& R* {# J. M: ?' U, Z3 };;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
6 T. P( H- D4 v1 o1 ?; U( u- D# r! `) V( ], g
;;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* b, x1 z+ X. T( b* }2 V7 \: G( p
credibility-one4 \# B" g3 Z) V4 d6 p1 G- `; \
;;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/ J+ E( p) E# P. Y+ dglobal-proportion/ o: Y) ~3 r H8 X
customer
O7 V) @% b. Zcustomer-no" }1 j$ g2 V; l3 p% a2 g+ w
trust-ok
( F$ C! k1 m/ c7 ?% U: j$ ^( atrade-record-one-len;;trade-record-one的长度
2 M' A3 P" t( Y; H$ E! B1 q]
0 K1 X& m( m0 E; L; W8 y3 m$ F
9 j; M+ ?/ K& x$ w* R+ @0 V' W" Q;;setup procedure; o1 _: _5 [& F/ K' @# K* d9 w
; `# v8 V: p, D+ X8 C, c
to setup6 b m v- }# m( R5 G6 p: M- A5 r
8 L# l6 I1 r5 A, u. Z$ Eca& s8 m+ U" a% [
6 S; R' N# v* Z yinitialize-settings" v/ D2 O5 E# ^+ {
2 ?; s& i$ K, V* fcrt people [setup-turtles]
' r) I: {# q7 }: O0 |& C) F( C1 s% t5 Q {& e
reset-timer
/ I* R) u% t$ ^0 N$ H( M! j' X5 ?4 D- g, J7 Y$ W: H5 h7 K
poll-class
# {- z4 J% }0 Z F. z8 u2 a
6 A3 q$ M, d) d8 Hsetup-plots
1 m: F! k; Q+ G* a8 J& q8 j
1 y a5 J8 y, o7 Ndo-plots
% N* X* v3 ]: X) @- gend
6 B9 t5 G. P) p5 K9 Q4 \
y; u* J& k! I4 u( I( y( vto initialize-settings
% u$ m+ F4 _; f- r8 l2 y h2 W. K4 X# G) k1 V* j
set global-reputation-list []
! ]1 U* e& u* J9 ` g3 e3 N4 O
7 N6 f, \4 s F/ H9 ?set credibility-list n-values people [0.5]1 y- F) ?: u! M0 `3 z) h
! ^8 ]' w: E$ I& `set honest-service 09 ]& y5 l5 Y/ h* @
2 a9 X% y/ n, mset unhonest-service 0
# ]+ Q2 M* d8 v8 E! q+ o$ Z0 I% O0 Y G \3 b! N( }; C
set oscillation 0# H- Q- y8 W& ^7 C. Z
- R" o# u2 d8 G( w9 N* f
set rand-dynamic 0
. n7 P# J% R/ ^& p% B: ~0 qend
2 I1 X6 @# j4 ^9 R- T6 E( v& c$ I% B( `6 H/ D- u* n5 g9 O
to setup-turtles
5 }) T* F6 V& |+ L1 C! sset shape "person"
: |' X( x3 S0 ]setxy random-xcor random-ycor
3 ~$ t% @7 j7 W. R. Y( \set trade-record-one []
, N2 x! `# T, p& L0 y% S
; |1 ^; r7 U' Rset trade-record-all n-values people [(list (? + 1) 0 0)]
5 w9 w( Q- [ y$ g' X
: F4 K1 I0 r( l" D3 Cset trade-record-current []/ F. P7 s/ S9 }/ g; n
set credibility-receive [], R: W* v" N, W) f5 ^+ K' D
set local-reputation 0.5
/ a( a9 j* ~( m( hset neighbor-total 0
3 f. V. m& a) D# D8 c2 Fset trade-times-total 09 _- e4 F2 F$ X+ ^$ z8 v8 @
set trade-money-total 06 y% Y3 `$ f( E- L- Z
set customer nobody
) o* `% Z! ^% E4 X* p3 Dset credibility-all n-values people [creat-credibility]4 _+ w7 D# e2 D/ I0 B: c5 v
set credibility n-values people [-1]) [# L, g$ I# M0 E6 p( X6 y1 \
get-color
5 z5 ^5 n1 y M8 J/ T) g
3 c4 K/ i& F. p5 {" o# d$ cend
8 G3 v% s1 V9 C& R; X, D4 s- d$ `& K Z" T2 Q* d0 T
to-report creat-credibility
" Y1 ]7 M- ?4 Dreport n-values people [0.5]& Z$ C- G! L6 p
end0 \: V7 P: r+ z
6 R0 C; f: s+ B- ]; L: N$ J% t" v4 r
to setup-plots
! ^7 r: G% T6 h% u* _5 X" M A5 s
9 v+ I" P' K- P8 vset xmax 30. [, l7 v9 f$ g, n, O8 @3 H
# q5 k+ v9 H8 @7 c( E
set ymax 1.0& M2 P7 a2 B* L5 d9 B- K
. w" R, C9 B9 X! A2 v2 k% N+ @
clear-all-plots+ G7 X$ t1 g4 S' L* F
2 ]5 A* w( G( k; R: }7 wsetup-plot1
6 }2 \: ~- h0 @& p- v. q
( H4 O# g) |6 C3 z5 f, m, G1 y/ Jsetup-plot2
, a5 i' P0 q! @
3 J/ Y8 F2 t6 X6 q' A0 Z0 zsetup-plot31 e- @: P m/ O5 d4 ]
end
# k% q0 Z ]: y2 d$ \0 G3 B6 [# Z5 x6 s5 n6 _) b
;;run time procedures8 j) f0 P5 Y' e8 g
$ e k4 l: n6 r3 y, @: ]! U: q
to go
" D- x; c0 ]2 c8 U4 a) z# Z1 A) k# c* ], I- ]2 I% Y( g/ s' s8 o9 Y- O z& n
ask turtles [do-business]
$ Q- }$ }4 h( l' wend1 x7 j% F% f. M: @ {$ V
$ y! d' P1 |; j& F: V; c2 ^to do-business
4 Y6 R" e, `5 @2 z6 n d# ^4 a- Z+ c" O4 x& `
7 U% v; b' S7 J) `# {* G
rt random 360$ ^! m" U6 o7 X- _% B
3 t& i$ ^1 x3 `0 p( |+ N! i) ]fd 1
% B5 h0 y1 ?: s) D( |" n) n# k& i ?
ifelse(other turtles-here != nobody)[
8 Z# S, T+ g5 P' W
0 m; R( u- r, M* n aset customer one-of other turtles-here3 s5 h5 L; d- E8 Y/ R0 s/ c$ I
1 C2 U/ n* Q* T' \;; set [customer] of customer myself3 p7 S) U- }. v0 w
1 Y. L4 \8 K7 c* nset [trade-record-one] of self item (([who] of customer) - 1)! \8 `" \! |/ S2 R
[trade-record-all]of self
8 J5 |$ I8 {, h' W: V9 Y# Z;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self/ `& w ^% _8 f" R
4 ~9 r- U) i$ Cset [trade-record-one] of customer item (([who] of self) - 1)
! y( I0 S4 ^+ K& P3 w4 l! ?[trade-record-all]of customer% ~1 ]1 R" N2 J! Y
5 _: R0 i4 H" U. {set [trade-record-one-len] of self length [trade-record-one] of self' m& Y) b* X b9 G3 a' [
$ [9 U/ J, i0 `set trade-record-current( list (timer) (random money-upper-limit))
+ ^ @8 n( ?9 c& Z7 a% ~0 l2 {6 p" ~% `3 n3 {2 x f0 s
ask self [do-trust]1 _& m/ F2 l& Q. n- g
;;先求i对j的信任度9 u$ G9 M. L1 o0 f" a9 Q
1 f. J* [) \5 _5 W
if ([trust-ok] of self)
6 H: E2 |, ?3 Q* M5 A3 Z8 r! t& ~;;根据i对j的信任度来决定是否与j进行交易[6 s2 F' F, w8 {
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
h i" E+ d0 u W- m, M
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do-trade
' u7 J/ G; q V, n1 G
+ A. F4 d: F* G3 G: dupdate-credibility-ijl- k6 F( {1 C3 H- ]$ q
- I1 y( d- K! B+ b- Q. K4 }
update-credibility-list
9 _* p! d! H1 F7 ]: N o8 P8 k3 g% t! A% M1 n: ?1 K$ l5 H8 R
O/ ]$ s4 k$ |4 c9 u' B" Gupdate-global-reputation-list" `7 V" K7 i' n: s' j8 G/ c
Z3 J/ U9 T6 f/ j8 W$ u. ?poll-class. G I+ y% T% K% r7 ]
' P/ M5 Z- U7 R9 U
get-color2 }% H: h _& w4 P* C L& J
" t, w1 J0 H6 @]]# x8 i* R0 W7 l
5 f3 r9 o2 M: _: V1 n
;;如果所得的信任度满足条件,则进行交易
, k5 F- a# ], p* N- _+ C1 P9 R2 ]9 N5 i4 c- _
[# f* D) w C" w& S; P# A
y0 Y# ^4 m M3 {6 d2 s8 |
rt random 360
* q$ T+ r+ R" L+ H3 r1 u0 L! e/ n7 @, h* K8 N& N3 O
fd 16 m$ Z. j; B# @- a: N: T
5 d, U* W r& T]5 F1 c* R! x# q+ \, M3 p# V, r, c5 Q
) p+ e9 T* W2 u1 O' E3 ]$ G
end
# P- `) y4 b6 w3 C) }) b% p; n$ F! G
to do-trust 9 X- p2 z8 E' D2 K K
set trust-ok False2 v/ e/ g$ u/ N2 Y) P
8 f3 k" C* M' X, E v
4 h& o3 ]* w& l# D) |let max-trade-times 0
# {3 e* |) p0 |& D" o ?9 Dforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]2 f" U1 I% \9 j3 ?( Q o; G- h' z' m+ m
let max-trade-money 0
/ ^5 d; \) S' {foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]; i% ?. L8 c+ c0 h: D' j
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 f! b, T% [9 j6 v, g( f+ J3 O. H! C+ g
* M2 P" t8 r* }# g4 i9 [5 @8 F9 ~
get-global-proportion
* ~; V( S9 x# @) R6 Ilet trust-value8 Z# }( k- x$ w/ r }
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)0 P/ s4 H \* Z1 _- S& ~' U
if(trust-value > trade-trust-value): B4 J9 {. l$ X* x' i2 u8 A
[set trust-ok true]6 b3 N% u9 b' h) n: I9 u, b" z: G+ j
end
2 h4 g6 a# ?: d) |! H k9 t6 T
% _1 P# V* m# n. T1 h b: ?to get-global-proportion
; @, @8 Q0 Y0 k o* Bifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)% f6 m" i M0 R, ~4 d, G) |) t1 q
[set global-proportion 0]
, O' W0 R3 I2 Z. N, ~[let i 0
& y7 Z# e$ d" r Zlet sum-money 0 ?, ]6 h9 X7 F5 ~" F! Q9 N
while[ i < people], w$ ~, a- `0 j* o* b6 d
[' r m) h$ |8 L6 Q" e. R2 e
if( length (item i
$ E; I+ D% }/ P5 d! m- ?[trade-record-all] of customer) > 3 )* a4 J& ~+ B+ l$ L( ~
[
, g9 j& t" u3 o# M2 Tset sum-money (sum-money + item 2(item i [trade-record-all] of myself))- K0 r! p0 e$ B, |
]
; @ ]$ w& F$ o, Y]! o, g/ f) z' |$ r$ e8 y' F
let j 0+ e$ J# P) x: b) A2 x: M
let note 0' u& k+ I Z2 M* y
while[ j < people]
8 W& B- }1 z' b/ c2 M+ A$ I[
# i A9 O+ ^- U( a6 ], Lif( length (item i' [+ i( d# `& a. n
[trade-record-all] of customer) > 3 )
, t# q+ K2 E- X& f, W% [[
" R( x7 R/ C) v% H7 l8 [) S! yifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
% f3 T: ], @$ u3 y: ?# C4 j% ?[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]" O3 ]) C: a% i/ T
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]: r( s, ^3 h" Y6 _& d7 r
]* ~- Z8 I @ _- m1 W# t' H
]
% Q! D) m9 f/ i8 i* P. T6 n8 ]set global-proportion note: S N# L/ p8 K5 r4 i; i
]
! _; {1 N7 t. C6 l7 M8 b8 l' Fend
+ R& A. e! V3 f- `: l! k6 J
3 `# t! R( `* g( ito do-trade
v" u1 X: ]% N;;这个过程实际上是给双方作出评价的过程' L. o6 l7 m8 M' H0 }" R' O% K9 \
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价& i k+ ?' G' z2 u: b' Y
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
/ X [' O H+ {* Kset trade-record-current lput(timer) trade-record-current4 E/ Q. ?: ^) p N
;;评价时间; l; |2 w. J, I) Q' I% s L2 s( L4 k p
ask myself [ q4 E2 C" d" m8 p1 R
update-local-reputation
s# b. ]$ w: J2 A& j# g& I1 \set trade-record-current lput([local-reputation] of myself) trade-record-current
6 i- q9 a6 [+ T" D0 p. Q]
% e* N2 E/ ^. v5 Wset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself3 N9 B5 V# ~% {0 t9 L
;;将此次交易的记录加入到trade-record-one中' M, G1 D9 [/ Z& y" v7 k
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
* C5 m7 r8 N- s, Olet note (item 2 trade-record-current )) }; @; u# b1 B# z( J; r- u) l
set trade-record-current
) ?1 l5 K: @2 l' h" n2 W(replace-item 2 trade-record-current (item 3 trade-record-current))5 Q# k! a7 x' \$ N& V
set trade-record-current0 B7 D& k6 A% \. ], w0 h* k( d' H
(replace-item 3 trade-record-current note)
+ V8 {) G1 w# W( n. c, C
/ @% `/ ~" `) F+ Y a1 I- V" ~& a/ t( ]; h# X+ t5 J
ask customer [
1 r0 m. T; z( C) ^5 Bupdate-local-reputation
4 h) f% P5 h& Q: A& A. Zset trade-record-current! j! u6 ?/ v$ |' o: a: R0 M
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
* w0 z6 e! A/ Y& c' c]5 I7 m1 L0 o. D7 B
* D- O: Y: Z5 T& F- G4 c* i+ h& p% ~8 C- b: @) |( j3 z
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer$ L* [9 w4 b$ r S
, v. ^) Q7 ]$ a) m7 uset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
2 w: a6 Z$ a6 I+ x# h;;将此次交易的记录加入到customer的trade-record-all中0 v G2 L# [% ~/ x
end
4 p7 J" a" i: ^/ s# H( ~' _
+ u' k# p; f0 B3 x2 Y9 B; `to update-local-reputation7 D4 R/ F; @' }& |7 T
set [trade-record-one-len] of myself length [trade-record-one] of myself2 Q7 H/ v/ v$ z& i- D
. a9 r% M0 Y0 E2 n7 K9 K/ d" \3 r3 _! s* W' s0 d" l
;;if [trade-record-one-len] of myself > 3
2 |, b$ Z% V; m% V, ^+ Pupdate-neighbor-total
( Y3 [4 N: n6 X: ]' n Y8 s( {;;更新邻居节点的数目,在此进行
. a; S5 y; n8 G, a, Vlet i 3
' q+ A# T9 p* S: ilet sum-time 00 g, ^* C, I: }6 x2 A/ z1 I& ]7 m
while[i < [trade-record-one-len] of myself]5 ?& t, R5 _8 N/ T2 u6 [
[
" t5 d: s# @/ F8 E# `* }* I- Tset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
8 o. i6 T# E( f( ]" s% r; x( Pset i; i4 ^* @1 T5 K( b6 v
( i + 1)
3 Q' k* ~9 @4 t( I3 B3 L]
+ m- Y* C; U, a, T$ G% @" {8 h; Klet j 3
7 R! q' Z$ ?# v. olet sum-money 0
7 g% p8 C! |* D8 lwhile[j < [trade-record-one-len] of myself]. O M' _2 P: ~- |8 I9 H
[0 j) n Z- X" s% r
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)4 R( F; m, M+ ~- P9 t
set j
" y- f- @; i: F0 p+ ]$ o1 V( j + 1)3 ^ n) u1 ~4 s1 ^
], n. a: F( f5 E: p9 M8 r! N
let k 3
% @3 o7 K% @$ r& @let power 0( Q% j$ c4 \( [8 S$ S1 O
let local 0; L( a5 w9 _& }8 E( ~/ B$ e
while [k <[trade-record-one-len] of myself]3 l4 l+ ^6 j% Y
[
4 F+ e. | h* f+ c5 b3 [" p( kset 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)
, E8 }$ e( }0 W# J, ~% k8 M$ ]9 l+ ?2 y8 gset k (k + 1)3 K$ a+ y; J* \0 S8 T
]
: O6 f4 c; h' k4 _7 P R; @set [local-reputation] of myself (local)1 i/ ~* U% h: N- n
end
3 `! M3 h \1 j( F- O. ]: n
4 m A9 r9 \' ito update-neighbor-total
7 h# k1 [, c0 q6 P A4 @4 N; R) Z1 v* |
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
6 e6 f. ?8 g4 x$ z; K8 ^( J5 k
* V$ I3 v0 C* D& w; C) \. x9 {8 s, F: H/ L
end$ w% ~- v/ @2 _( `! Z
5 O) e: y5 U5 J1 |: C2 |to update-credibility-ijl
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;;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。
; Q3 r' I$ c& k7 Ilet l 0
, N% c; O7 b) P7 v' B" zwhile[ l < people ]* z3 \2 z; X& f0 q: v
;;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
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0 Q s$ ~- W4 r7 Mlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
: P, c& O* n' @) }4 uif (trade-record-one-j-l-len > 3)
4 X1 t9 p* {' a4 Q* O5 _: @[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! M; v! y/ C9 J& O, J
let i 3
/ F% r5 m1 W$ ulet sum-time 0) Z2 _- {( h8 c0 A5 |
while[i < trade-record-one-len]" ~1 c+ Q: X" `7 `& ]" K
[, _& Y' ]& Z# U' j& c, J
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )' X. O7 K+ K) Z0 `4 ~7 d6 q
set i
* C& Q J! R$ S- v; ^9 Q, t5 s2 u# x( i + 1)
# P, e! h! c6 {$ z- I]
4 T( O) ~ N" H, n" ~$ tlet credibility-i-j-l 04 K, I+ Z* g% T& U& |3 Z
;;i评价(j对jl的评价)% I, B4 I0 V% x; @6 j
let j 39 O$ K; D- V% Z6 r: _( ?" ^" s% L
let k 43 F9 o$ n0 C7 w8 L) w4 W& s
while[j < trade-record-one-len]5 I, Z* q' b9 U. W7 J
[0 v; ?' L2 O$ h! a0 K7 f
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
q. \% w6 O5 Yset 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 o- ?5 U" X# iset j
7 g- _( W; C' a T( j + 1)
% I' Y! P. E9 k]
2 u% B+ ]% A/ b zset [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 ))
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let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))) E, g! w9 M; I. y( V9 E
;;及时更新i对l的评价质量的评价" z& ^7 K) [- I1 j
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]) ~) g9 _1 l( C3 C0 `
set l (l + 1); J* t, \2 i! I2 G
]
G4 d( e" B- A, q1 P, ~end
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8 E# V- c! ~! _1 Hto update-credibility-list0 `1 \$ @+ `% R ~5 A- X
let i 0
$ l7 f' Z& p% k) G$ dwhile[i < people]- h7 v7 [. P6 j* L2 j9 z
[
! h: P- w4 h7 \5 [- h7 q2 y- S8 [9 jlet j 0 S0 u3 x" |" r2 F1 p* v- `
let note 0! r, t; t6 s+ T0 n1 @) |) }1 d' v& }
let k 0
) H, f' w: R5 S- ^% k& ~;;计作出过评价的邻居节点的数目' b- R8 N4 V9 Y9 B3 ?. h. C
while[j < people]
2 F2 Z. |9 ^9 f) o2 ~1 O[
5 ~( ?7 I/ b0 K% {if (item j( [credibility] of turtle (i + 1)) != -1)
' m0 x: U+ {- n;;判断是否给本turtle的评价质量做出过评价的节点6 \* x% i2 \: G# @
[set note (note + item j ([credibility]of turtle (i + 1)))# _8 V/ X0 m5 w2 F8 C
;;*(exp (-(people - 2)))/(people - 2))]
, v. _7 L) _0 m+ Cset k (k + 1)
# `% C. \: Q$ U: A0 j* Y3 m]5 I% ~5 Y8 o% a" i% s& j0 Y+ S3 L
set j (j + 1)
, h. |" P: j; y7 j- l& s$ ^% D]
0 v" Y; \8 a0 U( }$ q% L' Nset note (note *(exp (- (1 / k)))/ k)
$ K. I/ T! U! ], T8 m4 ~$ pset credibility-list (replace-item i credibility-list note)
' @- j* U( p' M2 n7 D3 f0 Q9 Bset i (i + 1)% C/ W$ e* {( \1 c$ G- c* C: H
]
% b9 v2 L3 S* Z' S! I' |7 Oend& Q- J! W3 M. U& r2 M( W6 ^+ ?
/ X% a( J! r# P5 j, m- f8 f
to update-global-reputation-list
# z- x& ^9 Y2 W' ylet j 0
. O6 F7 z* E1 l; f4 }8 F' t$ C! Vwhile[j < people]
* h" N; P" F Y* ?; l[
) l6 i) C1 `, s) x6 Y1 q% wlet new 0% ?( Q' L/ O" R# O( o) s
;;暂存新的一个全局声誉* s/ R% l: Q2 R# t& L
let i 0: S$ h$ j+ m. d/ I O- { F: [
let sum-money 00 |7 T1 g$ O$ U% [( g- S) M8 N. |# ]! {+ w% {
let credibility-money 0
& n& {# `0 c7 B+ `0 Twhile [i < people]4 E' p" ]7 b6 j* B* F/ ^1 l2 Y! x
[* U& f: X! \' f. b/ S
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))2 ]3 @! i& X" p, p5 a' S& y
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))' j$ a2 S; n; c7 V, M
set i (i + 1)
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let k 09 j2 I1 B/ j* k9 y) s
let new1 0; E$ ]) \' K% t0 e# o
while [k < people]6 Q: b, m7 n1 B" F( ^
[7 f) E. F$ e/ K0 O
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)% J! D1 ]; V* H& ^5 Q
set k (k + 1)) c' A: x6 q/ C$ z
]
3 O4 E- _4 i0 a. Qset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) % r$ y3 `' O" J% u5 o/ T1 v2 R- }( c
set global-reputation-list (replace-item j global-reputation-list new)" H7 ]/ Y% ^2 r5 a# B
set j (j + 1)
- N# J6 f+ p' t]6 S% O- F/ y+ `8 l+ C. U, D8 b8 t9 ]
end
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! t2 y/ ?2 u6 [8 c* c' v+ i& x9 N3 R2 n# _9 [3 z" ]/ C. N+ O4 L
to get-color
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3 w6 F$ p% y9 ?# H. Lset color blue0 i! Q5 e8 A) b' I: W! _9 J/ H
end
9 Y$ _6 ]& j# ^6 q. b
& C( Q0 T. n) E2 T+ ?6 U: |4 {5 D" B: xto poll-class/ q- P( j s. s2 n/ @9 ^. M0 R
end& U, e. E) F. d! D0 O8 s7 O
" b, z5 X( U9 yto setup-plot1; b3 W/ J( i K! H- e5 N9 S' E
1 {% C9 [2 B. J7 K) ~" v+ b4 lset-current-plot "Trends-of-Local-reputation"
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set-plot-x-range 0 xmax
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set-plot-y-range 0.0 ymax2 L" M$ S& L8 d9 ~) Y3 R# P2 |- ~
end
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% u: I/ ^& c1 @" _0 C9 mto setup-plot2. B$ f3 N$ ~" i4 Y8 v
* u) ?$ R5 [, f% {. @" ?3 xset-current-plot "Trends-of-global-reputation"7 c) r3 X" `3 s. c
' ]0 F' w) B) E3 i9 l
set-plot-x-range 0 xmax
4 B3 I2 b3 B1 H" I4 @1 Z1 g! @( k$ \: \5 P- I' d! l
set-plot-y-range 0.0 ymax
! o) N0 |3 Y1 q6 l& }2 Dend
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to setup-plot3
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set-current-plot "Trends-of-credibility"
2 O X+ r& D4 P! d# \, H6 Y, l( \
5 K1 R9 q% c1 a, q5 P. ?set-plot-x-range 0 xmax. X J- b. r, K
: C! i6 F* j) ~0 H eset-plot-y-range 0.0 ymax" K* n1 ^: M; S# x/ h% @
end
+ {7 P. h' A0 z0 x5 Z$ x% j. R2 S# [$ G. K3 A5 j8 d7 h5 [& c
to do-plots
9 e$ S- A& r2 \2 M8 |% e. q& Yset-current-plot "Trends-of-Local-reputation"7 g$ d$ B' u- `1 w S, i6 \
set-current-plot-pen "Honest service"
& W5 t! H5 j; yend
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4 b4 r- H( Y( i D9 N[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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