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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/ i3 C R& [! h: k- P9 i$ R& h
globals[
/ ~8 D# W! K$ C; Axmax
" E% `" Y, q; E4 }0 zymax
3 U) k# X' t& c" V+ R% F$ g( \6 tglobal-reputation-list+ f( C0 O5 o$ B- M! U+ g* x# {& D
% L3 c! P! Z- d
;;每一个turtle的全局声誉都存在此LIST中3 ?4 }1 c8 b# Q
credibility-list
+ f! L. F1 O: q/ l( Z* H0 U4 e;;每一个turtle的评价可信度
4 W, ~% z0 M# U9 `' a# V- Khonest-service+ t: x! u& o h! ^
unhonest-service
0 m# v$ o. k3 T* Hoscillation
3 I1 E3 l8 l7 \7 V& q, Lrand-dynamic
( g l4 Y5 \( _: Y, ~3 P/ z]; r- f& K; A, n b3 l: w* K# ~& N7 P
! k6 ~5 D! s( z# X% uturtles-own[
2 ]. `0 ?' K1 n$ b* Xtrade-record-all* E8 w5 U7 n9 L
;;a list of lists,由trade-record-one组成
2 t! C) x+ n$ ~' R% Q, Gtrade-record-one p& \& J! @5 I
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
, ]0 k% a1 r" m0 o- d$ X, a' i1 _' I5 h$ |
;;[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]]
1 M- N( _3 Z: b/ ltrade-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]) b( F( O0 J& U' ]1 {" z- i/ j8 Q
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; ? k$ d. Y1 c; V9 y4 D) R1 j
neighbor-total
% c8 b- g( } L( I3 j;;记录该turtle的邻居节点的数目
4 P4 R7 F! e+ w* b1 f, Q8 S- Jtrade-time6 B" l% ?4 Z$ D* k/ U: ?
;;当前发生交易的turtle的交易时间
: F8 y) q# r* c! k+ U% nappraise-give
, y0 Q0 ?) k# Y; R6 h9 [* };;当前发生交易时给出的评价
, [2 h% @ W& O( L* M6 S' i9 X; ~appraise-receive+ z2 ~9 E( f$ R; A
;;当前发生交易时收到的评价
! }) o r7 ]; l$ E- zappraise-time' a/ i8 b( N) |5 j2 n
;;当前发生交易时的评价时间
9 i, |8 i3 N" w1 Q" Elocal-reputation-now;;此次交易后相对于对方turtle的局部声誉. s9 A$ s, X7 }, y, M. o! X v3 ]
trade-times-total7 J: W+ d* ]9 L+ s) `
;;与当前turtle的交易总次数% s: j: Z9 l6 V+ e9 k
trade-money-total
% ~% H/ ?+ b% h+ a9 @7 L;;与当前turtle的交易总金额
& P+ i# u' ~- t. mlocal-reputation
* o+ F! t$ y& J$ Fglobal-reputation% Y& |7 n/ n7 r) Q) Q D( v
credibility
( r/ d0 _( l7 j, k7 S;;评价可信度,每次交易后都需要更新
* l0 w; i% _3 F! c" rcredibility-all
# Z( R+ |9 B& e8 v, a9 }& [' L;;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
- Z" s* G% [) E! s% D# c+ X0 Q$ ?6 `/ \6 |
;;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 u. q4 a: w( p/ {* M- z4 Wcredibility-one
% d% U, i0 d- d" F" C: ];;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5 f* P: O7 Z/ }8 B" b6 g; @
global-proportion
2 z5 Z) t, Z* [3 f+ jcustomer
# c" }: }, \: _; X* Ncustomer-no, J& t5 V$ b( D# x$ i
trust-ok
* ^- N8 a( i5 N- M; ]2 itrade-record-one-len;;trade-record-one的长度
1 a3 b& W0 j# V7 ~]; R) L( C" q+ q9 w7 b
8 K0 C6 f: I5 m$ J, R;;setup procedure" K8 r& L% D+ B; k0 j# P- l
* l r- b( ]2 Y9 K$ o4 K
to setup
1 v( d0 }- H- a; W" A/ M7 N
* q. P1 o+ Z8 K: k5 F/ Y5 c# Uca. X/ Z9 S2 x ] Y; r2 i" r2 p
% ]. Y0 l; k* Y1 ]1 j7 [initialize-settings
$ J, M. z! F/ z2 J. i) i3 @4 P* Q
; s4 T' x, {3 d2 @) Y3 h6 P3 U$ lcrt people [setup-turtles], \8 W$ |2 [( q2 t( Q" z& A' s' g
$ Z! Z; G, w- X# B: M: z9 [) ^
reset-timer
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poll-class
( ~6 E0 q7 J3 l
1 \3 `6 H* `6 X+ V* [setup-plots
2 L: S& j' s4 L/ S; m/ n, [5 w) s: I' U$ P# M
do-plots
! b5 F* b: y, l$ Xend1 ?7 o2 N& q7 p/ _7 c, ?, G
. v! U8 @8 d7 _$ {* t8 [to initialize-settings
$ z9 e8 X H5 C: s; O9 j" U
v# R0 Y2 W( P! {( o2 gset global-reputation-list []0 ?6 \* r$ w$ P0 _& z
6 S% I3 j4 X' D- E2 u+ w
set credibility-list n-values people [0.5]" u; @5 ?3 r+ d4 a4 U4 J% y# \% o. [
$ q' c& Y$ O6 B* @8 X4 d" j
set honest-service 0, m A4 b2 J1 A9 }+ M
" e7 o) T9 ?+ P& P: t/ Lset unhonest-service 03 y* {4 b& f3 ^4 t5 |, E
4 _; U) d% L+ A- J) @. H: |: A
set oscillation 0& j8 q" i) `5 L, [* _. `
( z* X- Y' o+ A' H# {' X! ~# s" h* c
set rand-dynamic 0! S6 ]) S0 X# b! F0 _( @1 P) I
end# f4 s! y3 Y6 y% R. o
+ n9 a Z! L( @3 P2 d, E# o0 C0 b1 t
to setup-turtles - z( T; [4 H4 A: Z, z2 a
set shape "person"3 ~$ P! {: ]6 `' a, T+ \/ w6 ]" y e" z
setxy random-xcor random-ycor0 H) ^2 ?0 W f/ C
set trade-record-one []
7 e D3 _, P5 z. l7 B0 T
; D/ v6 y0 ]; a8 c$ [set trade-record-all n-values people [(list (? + 1) 0 0)]
; v8 L% M* j. j- g) p3 L1 P z, u, I$ M+ a
set trade-record-current []
& Z' N( u% p- Z" I5 u. Kset credibility-receive []
. S7 v6 r: b' D, N' R: j6 Sset local-reputation 0.5
. ~9 o: H- k* Q; T/ O# G" bset neighbor-total 0) v" c( _" g( d0 `5 k/ I
set trade-times-total 0
# q5 P5 j3 U% v! Vset trade-money-total 0
5 r0 f& O, a+ p8 S) p/ w! S. lset customer nobody
. z, c/ j: D& w9 m" i( nset credibility-all n-values people [creat-credibility]
, ?! ]5 i7 N* q; f7 Vset credibility n-values people [-1]
( B a$ B [; r4 {4 t5 S9 sget-color
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- l- b) H0 w; \4 Gend/ b1 D; p! T! F, ~1 D+ b3 @* ?5 D
+ h- A8 w8 j7 s% \/ r9 D; p
to-report creat-credibility
4 g1 e/ q- |+ v5 y6 B, [/ `report n-values people [0.5]2 I, ]8 C7 L$ h, E8 a1 G
end
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to setup-plots% h) N; L8 ~+ ?5 O, n. B, X
; j9 {- F- M3 h8 T$ w& v
set xmax 30
" U$ P6 f7 |- A3 x! s0 S1 K
# O4 _( N; t7 d' J2 eset ymax 1.0
J! w( }, d, J% Q& I q( B5 \$ Q7 G3 }) l7 S, ^7 J
clear-all-plots
: b2 P/ p+ L! W2 m5 U; [* M7 r2 A. W1 p, s5 n1 n) B
setup-plot1& u/ l! i9 G# O9 ] G
# g& \& K9 ?6 Nsetup-plot2
# F8 l/ p- Q0 m0 }! X% [3 l4 D7 F
- z# F a% |) V: c8 y1 U# G; isetup-plot36 K* X P2 I3 b. R* `+ c
end" G; n1 u2 \. u7 s: Y6 T
* Q) ]3 i% Q# s! d9 v# a" G! Z
;;run time procedures+ R4 x/ c* l4 `2 z4 f D" K2 G
% f2 m6 b4 @- G" r3 R) }6 z: xto go- L1 w; J' D( p& e7 t" z
5 U# W a+ X/ a ]1 A
ask turtles [do-business]: d* L6 F' w7 j$ c1 o; E
end' Z, _+ W0 p/ ]: l& k
7 y9 Y4 e/ X. P1 ^9 B' @& Z+ { Dto do-business 3 U0 D/ g2 w7 U' i
2 s& x1 Q7 _: y; F) G3 A! U |* X' P+ P) \( w/ [' X
rt random 360
9 [( n! e4 {& o5 r3 o& t# l
, n1 l( [* Z% l jfd 1
& L; i9 M l5 I) F0 G: X$ f" B& K; y
ifelse(other turtles-here != nobody)[5 k4 L2 Y; U6 a- N1 q
* `3 P: f& t7 x ~set customer one-of other turtles-here
- R; a7 {, \& R+ g" g. ]) p7 g/ j" L8 O( r2 g; W2 D( Y( D7 \( ?
;; set [customer] of customer myself1 ~' G T7 s7 f9 u
5 }- q8 K) l6 Z4 u) O# zset [trade-record-one] of self item (([who] of customer) - 1)( T0 i' C% `. r0 t/ {& g: H' s' o
[trade-record-all]of self
# \% S' F, B0 {! Q' |;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self; _& n9 t; W0 f1 h ~
% b( ]. Q7 k. l6 V( Q3 D9 }
set [trade-record-one] of customer item (([who] of self) - 1)
7 U, |, k3 ~" v) W* D: `[trade-record-all]of customer6 F2 F6 V" x. ?0 h+ D
" J) f7 I }. O8 c! _# H$ Zset [trade-record-one-len] of self length [trade-record-one] of self
5 ~1 y/ s+ G2 C, O+ m8 q# F9 i x
set trade-record-current( list (timer) (random money-upper-limit))
6 t* f! U$ v: J+ M4 S2 @. a" ^6 V1 j6 D8 C4 i
ask self [do-trust]
# j$ x. G% c7 Q/ j;;先求i对j的信任度: {* @3 C4 p$ [* N G: K
" j- u u+ ?3 ~8 q. |
if ([trust-ok] of self)
" U$ Z1 t* w ], Y& H;;根据i对j的信任度来决定是否与j进行交易[
2 @$ I) Z6 E: j3 iask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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' I! ~; i4 U2 c) C5 P8 D- \[( ]# Y+ T5 y5 g& R4 X7 g2 `! ^
! ~" V: o/ d9 F1 S; E" c4 _
do-trade
& |) W9 F% z, f' t' P7 j# Z8 `1 b* H1 ]5 k7 h Q
update-credibility-ijl& P! f, N M( `9 t
: ~5 j" g# N$ f- Q. Tupdate-credibility-list5 j: z# x3 ~6 S- }3 z6 X( T- y
7 w( x* W* b+ z
7 d9 c( Y' i3 p" X+ Aupdate-global-reputation-list: i/ T* D% ^1 h) Z4 m# D" z# Z1 U* s
% R8 W% N1 Q& _! O( b6 {) |! Tpoll-class
+ D2 i3 p' [8 y4 I( J/ a4 y& f
1 ]4 N5 N7 C( j8 a3 b0 M! |# yget-color
6 g) Y. x: x7 ^ Z2 A! K6 O3 x9 {+ K8 o
]]
# F$ U' p* b* t# j1 N+ Z% p
$ g' c$ v0 U3 J- [;;如果所得的信任度满足条件,则进行交易
, M0 v; D4 Y% K& Y: v" R
3 K8 h( K! Y0 o2 r# ~[3 a. _% @/ t& U; p! f
$ u6 Q; u [, ~# Rrt random 360
1 V8 F7 m- l0 g. y U/ H" Q% F; _& `& Y; d
fd 18 S$ D* b+ F9 J; [9 B3 W# t
" P( d' \6 S) y
]
K/ H# P! a$ ]7 W* T: ^# j) v
3 N5 g" F: B, }5 S8 T4 I* h9 Jend
' C/ r2 u7 \% x5 |' z& X! M$ I* L. I
to do-trust
* j7 @: f' q0 z. A) kset trust-ok False
7 g% v; \8 Y' L# I4 M2 `3 e) X! W( L. L! P e& V8 W
8 S; W( M, ?, mlet max-trade-times 0( R# W3 O6 }4 S. a# T' Y
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
4 s, G; K, O7 ^ h1 W2 a. glet max-trade-money 0. m$ @% G. j) n$ G# Z: B6 F
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
2 E8 x0 K# B- Z$ B+ s- G! g1 klet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
( @; f4 t" c: |$ F# c& G, s: r$ |! g& ? H
b$ @- \' Z, n) l1 o- ^0 x5 T
get-global-proportion
C3 M, ?6 ~+ _/ F0 C1 z% h+ mlet trust-value0 M2 b z( z, V2 Y: L
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)2 P) M7 R8 x3 D, q7 J% M
if(trust-value > trade-trust-value)
j5 V. C) C5 ?& w3 m- E9 _[set trust-ok true]+ ~( I2 G& P% r+ H; s
end- V, b! d' N6 i
" b: A7 V- l, g; ?3 E& |1 n( \) x
to get-global-proportion" Y) r9 ?9 q P
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
; `* b* \2 ?; b[set global-proportion 0]
1 U. W9 t, J9 s5 A[let i 0' Z: p9 ~( K" U" s, F/ u5 @: ~2 o J
let sum-money 0" e7 r3 k" D, J
while[ i < people] U: B1 b0 b4 }/ p
[0 ^4 F( a% T- a# |) i5 ]5 v" [% x2 h
if( length (item i4 b) f! Q& Q4 E6 V# Y/ o
[trade-record-all] of customer) > 3 )/ } u* L4 C# }
[! h1 J% D' f/ l7 }
set sum-money (sum-money + item 2(item i [trade-record-all] of myself)) l; }- B/ |$ A0 n
]' d& h8 ]$ F+ B+ x! `, P! U& z- M7 F- s
]- s, o# `+ u% \9 [
let j 0
/ Q4 p6 S* a1 d1 Qlet note 0
1 c9 H2 [ G. v* y, ^& Owhile[ j < people]: G- e4 {8 J9 G' |* s( k1 f- l/ W5 N. _
[
: w8 x/ s5 w* ?/ y4 w3 gif( length (item i
8 R% ?! T# d# w7 Y2 u0 \( ]0 m[trade-record-all] of customer) > 3 )8 m+ Y" N9 h% y3 c( l+ Z( g p5 ~1 `
[6 m1 E4 ?& t; Y+ i1 g7 r) x# T* z& i
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
3 t0 E5 ?4 e; u+ [/ @: X1 K[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
N- G$ {3 ^( S I[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]% k# T. s( C2 k" j! }4 H' P/ b [3 y
]/ z4 h# E* O8 x
]
' d! X1 ^- \, u) D p! H [5 j. r9 }- Oset global-proportion note7 J! c8 l, j, O" O( @; }- a) K
]8 u4 R# Q1 L. F/ k' E
end4 e" Z3 c9 u6 D! b# W* j2 P
' Z) Z9 B9 o4 D* j+ `' V, \to do-trade3 v& g, J; `4 O( i& x( [
;;这个过程实际上是给双方作出评价的过程, w) p7 ~8 e5 @' h
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价 r0 H+ Z. |2 C7 V" T
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价# o; g7 o9 }0 T" |
set trade-record-current lput(timer) trade-record-current, t0 @0 Y3 A0 x- s0 g
;;评价时间1 X- }5 L" [' g; g
ask myself [ m1 W1 t4 B; g
update-local-reputation
1 W1 k# }" O; k7 Kset trade-record-current lput([local-reputation] of myself) trade-record-current
# C. F |9 W" ]$ z3 w- d9 K8 S1 x% i]
& O7 l( V9 s" ~# xset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself6 \. ]7 r/ L( z6 g. ^7 p( k
;;将此次交易的记录加入到trade-record-one中9 _0 w, t; t- S" I& |' ]3 T
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself), p4 l, {5 m9 U" S" i8 N. \
let note (item 2 trade-record-current )
" |6 l3 u2 M0 \& h1 O7 N3 [set trade-record-current. x+ U {$ |5 U/ F) X7 I
(replace-item 2 trade-record-current (item 3 trade-record-current))
8 F( T) c; e7 a" y! Sset trade-record-current
+ T: _- R t; ?(replace-item 3 trade-record-current note)
& t% y; i+ D) W* Y' \; D5 T2 s3 |' m6 q# z$ m
W2 }8 A6 K0 N( B$ ^) R6 C5 N
ask customer [0 f. n5 T) c! D0 R C
update-local-reputation* M0 {. p( a* ~' H
set trade-record-current! ^! K+ V$ T$ o! Q' f' I# e
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
2 z ~% {2 W0 l: ]) x6 c, x]
( D7 S+ Q" L! r' N% f) v- q( V V& f0 [5 S
5 F7 v& D( U6 z" m/ c, {
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
& l$ |. _2 I* [
/ P: E; x" p2 g. y! Bset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))8 b6 ~8 x* Y* s! ~1 Q! s6 f( E
;;将此次交易的记录加入到customer的trade-record-all中! g' B0 c0 w% Y! q9 B/ ^
end
6 o; U( Q& Y# w' Q4 ?% I( ?9 J. T8 x' C% @% K
to update-local-reputation
; E; v! i) O- C9 r1 wset [trade-record-one-len] of myself length [trade-record-one] of myself
& ^' q6 s1 Y7 m8 _9 c
0 n' v8 m O' f( ^+ I Q( B/ w' z8 _
;;if [trade-record-one-len] of myself > 3
9 ^8 |/ c% ]" X" ^) _update-neighbor-total& N0 d# ~" E- E: }/ A1 V8 B
;;更新邻居节点的数目,在此进行" q; H5 k: T$ N! W4 e/ Z X7 }" R" x
let i 3' ]! B' L! o9 b* I" E
let sum-time 0
0 c8 j2 b) f0 P! `: Zwhile[i < [trade-record-one-len] of myself]
$ X% G, ]5 E" k Z4 y4 ][
3 n/ U: |# _0 Y' J zset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )5 C0 \; Z! G4 ?- ^* C5 G* O$ V
set i$ I" m8 X4 p9 x4 g
( i + 1)5 A4 y& d1 h' n1 U* f" T" p
]' a1 `3 W ]# H$ e
let j 3
% q+ B' {1 N9 a6 h: M" Z3 \let sum-money 0; H! Y0 J- V: @$ {
while[j < [trade-record-one-len] of myself]
: P' S% [- }! g1 T, r[7 n( r5 N* C) }' c$ |/ u( m
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)$ C. ]$ H1 `5 R$ z
set j
( e, j6 v2 C5 c$ S( o( j + 1)
% w Q. k% r3 I* ]) ^1 y7 K: q5 f]0 a- o- _4 F+ U; `
let k 3% k* k1 }+ c! W% l) N
let power 0& O& o; J' n O$ }% b8 {! O
let local 0
, W7 w& L- F7 Q) H+ b' I# Ewhile [k <[trade-record-one-len] of myself]# E) r# p0 G% d" R H
[
' [2 Q7 D' H3 ?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) . I, V& L/ S% d
set k (k + 1)/ H, _& Y; Y$ l" G" I& O1 B4 g
]( u; i+ i: r3 S( t$ _
set [local-reputation] of myself (local)
* V! x" L0 a. Y- v* H6 _end
- I! Y3 A1 a, M7 }+ }- h5 \2 i- g# i, {3 D3 }
to update-neighbor-total
1 _+ @9 x4 ` S* |7 m% Q
e( N1 ?& K: nif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]4 R, T5 B7 R+ b9 b( z& i" S7 W
4 z/ A, N, }8 O1 [: |% g2 l4 F' L, v6 b' G' m
end$ g. G2 ~7 S& e! {
' {3 B; h7 h* x& s' v0 G0 cto update-credibility-ijl 7 n) d6 ^+ d2 U9 L9 Z, c' L- ?2 m
7 i' b8 b9 y2 G7 x, i2 e;;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。/ t3 q4 G$ T4 n( \. i3 b( X
let l 0* F' S& D* L0 V; _+ E
while[ l < people ]
# y; t4 c1 |4 f" Z! p% \;;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
8 p) x9 d0 {( V, } Z6 n[
( j6 j2 Q) T5 o1 Ilet trade-record-one-j-l-len length item l ([trade-record-all] of customer). }2 X7 ]) k$ L
if (trade-record-one-j-l-len > 3)
+ ]: [" P, W: y4 g[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
4 g- U+ x: A! K, {- W: Q, m" U6 `let i 3
. k% N; D" C, f& \' Jlet sum-time 0
! [8 T& y3 ?( H$ iwhile[i < trade-record-one-len]
% e1 m: \7 J5 D' d[
. C6 A/ d+ z3 Pset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
7 u* M0 c/ L1 g/ x5 @7 T3 Zset i- e2 `; x% v L/ p: O; x% B$ E' \
( i + 1)) c' O) B* ^+ N$ |
]4 M3 B9 a _- ?" I
let credibility-i-j-l 0
, _/ \2 s5 v- M7 e, H;;i评价(j对jl的评价)
/ G0 v- H: g) Plet j 3) |* X! _# u6 [8 V( q7 B
let k 4
1 _ R2 }5 w! O/ N& O6 S0 Fwhile[j < trade-record-one-len]
) a( x/ z; ?& G* [. n3 L[2 |% H6 Z' X g
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
. t$ R H5 H& U( b3 T2 f% rset 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)
0 b; R1 `9 {7 O5 [& q* N5 G" l4 `set j! @( P* }3 d3 x8 v q* B
( j + 1)
$ d+ B* _" q9 ]! A]
0 K" t" H, V$ n( Mset [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 ))9 I- y8 V2 ]! c% n
9 E X, v* L5 r7 M. e8 v! {2 b5 h5 n$ g6 y2 z
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))& j5 H7 C/ n! H# ~. X' Z8 H
;;及时更新i对l的评价质量的评价
8 E0 W6 q) S* Uset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]2 g6 I! V1 }" \& F2 u6 v1 _
set l (l + 1)
' y. k* [# y. h! X O! S `]3 y+ b2 z4 j7 o( k4 U9 Q. ~
end1 q M5 ^$ Z0 ]% Q' @% G6 ]- ~, i
. M3 K. I; Y& Z
to update-credibility-list- V B: ~0 r2 S6 W' |
let i 0
3 h- A0 `3 T4 c, R5 e+ o+ w' Hwhile[i < people]( i6 n2 z$ J: R' o$ F
[7 m f" A y' U
let j 0
$ k ~3 z( w; I9 z2 m& x/ Blet note 0- K' h, B# W& ?% V
let k 0
0 x, |8 v( j/ N! r8 X& f( E& P1 d {;;计作出过评价的邻居节点的数目
" Z: t1 D9 q: Wwhile[j < people]$ @& a5 G5 t, b* X2 j
[0 c# h$ E7 B0 F5 x/ t) T1 z m
if (item j( [credibility] of turtle (i + 1)) != -1)
2 j! @/ _" C6 t1 r# ~( [;;判断是否给本turtle的评价质量做出过评价的节点9 C) C3 y) F6 X! }; g
[set note (note + item j ([credibility]of turtle (i + 1)))" B X- `& d- r3 C* q H) M
;;*(exp (-(people - 2)))/(people - 2))]$ P' H% {5 U# x' V
set k (k + 1); y- x5 l4 Q, N& |* Q* b5 _# _
]
+ d' I6 U7 r& o; i( Nset j (j + 1)
2 t4 J- T2 l, H8 z/ `" g2 Q3 F]
' I a; V- I) F2 C2 fset note (note *(exp (- (1 / k)))/ k)
. Q5 {: V* Z' k6 w: P" }6 pset credibility-list (replace-item i credibility-list note)/ {2 A3 t( n5 a( p
set i (i + 1)
) ]7 c. B7 Z/ k% W]
9 Y2 a+ m, P7 {9 L9 Aend! I9 o; x1 ?2 D6 w& P
* O5 b* v! _' S! ^ m9 y, o, Eto update-global-reputation-list6 ^4 `! H* }) \
let j 09 b8 a# V$ R' t0 X5 ~, y
while[j < people]3 d+ `0 [: ?; k' `8 L- D" s
[
/ H8 C8 u& ^) j2 j8 g5 Xlet new 0/ N8 I9 `' b# E* f$ K5 Z- p
;;暂存新的一个全局声誉
4 p: t* C `# Q, z! [- Zlet i 0
. ^- B: _: q( ]% n; f9 ]' flet sum-money 0! D' \9 t4 t6 ^+ C
let credibility-money 01 e* @2 W, X3 F! }8 h
while [i < people]! @% q, E/ N5 I6 q
[
; o- z1 T H( U2 V! |1 ]set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
0 b3 w3 {/ l+ `# _# {# P$ @' m7 P Y/ Bset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list)). l3 \8 z- u5 h7 ~
set i (i + 1)# R V' Q& h6 t% n
]
0 e6 i) m L' m* h1 q! w. c% Plet k 04 n3 h* C. ~6 c. |: Z+ O
let new1 0: W; T% ~% y4 s4 B
while [k < people]/ _6 `* m& [- R5 o2 X9 U# p
[
' A2 X% l3 e- Z" Yset 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)
6 t1 M ]7 G3 K @- G+ c5 eset k (k + 1)3 s8 x) i p- i$ F6 k' ~! ~
]
2 G' N+ L+ L0 e- y& Q+ B; f$ a ^set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) ! Y* g5 p: {8 ~3 @. j3 g% U% L* T6 F
set global-reputation-list (replace-item j global-reputation-list new)9 D( B; e- D% }5 Y5 }
set j (j + 1)
: _2 t$ z. H A! e]& L$ n7 [8 \3 l
end2 ~, F5 U8 D/ ?3 S1 b
* |4 g% I; u8 b: r
# ^( ~$ I" ~7 _+ q& L. _3 O; {; [- }! e; c X; I+ [: ?
to get-color7 C0 {) W3 v8 [- {! Z
! n# K; X1 q( M) U' Q' g& Wset color blue0 W/ }4 K) p3 L+ D
end
3 O7 w) M! L( _6 d9 q0 U' F; X$ R- m# W' J
to poll-class, g4 _% M9 n9 N! h
end) @: W/ p& ?$ U( O8 i! B4 s
2 z/ J; q2 m- U- t0 vto setup-plot1
, y( l) N3 |! O. ]2 T o( h. T% l& ?7 q5 B3 y; V7 |1 a
set-current-plot "Trends-of-Local-reputation"
8 r$ b# G. X8 _+ x
0 k/ i& K% W2 J: ^set-plot-x-range 0 xmax
3 }" N2 y: T: v- Y' q0 K7 }% n4 Y, d# C3 p) U- j
set-plot-y-range 0.0 ymax' [. S2 I9 ~- R5 r2 p
end7 C+ f9 ~5 X+ {
9 L/ {9 t, Y& C3 n& U3 q
to setup-plot2
; i$ @6 w9 R# t5 ^$ @4 G; v; K1 v
1 P0 l6 s2 O7 z1 J) z9 E- m& uset-current-plot "Trends-of-global-reputation"
+ Y! X: _7 ]% j" {. ^ M7 ]
" Y/ i! g$ N: Z+ |- h, f, {) k1 vset-plot-x-range 0 xmax
5 B# ~' Z/ Q7 p$ E" y# R6 a* o3 t5 v1 [" M' f) ?
set-plot-y-range 0.0 ymax
- F% m% L4 U" _, E: f- Nend1 b2 R. \" |% S5 P
1 P) _* e( n/ P8 c# Y9 wto setup-plot3# p9 G: t2 c ^* g7 C
* x9 N) C" W0 z/ a
set-current-plot "Trends-of-credibility"& Q( C! R. O1 r, a! q
/ | o7 q" Q: _set-plot-x-range 0 xmax
, h7 N3 i# u+ i- Z1 j ~6 Y' `- T* K
set-plot-y-range 0.0 ymax
6 k6 u0 q/ V% Xend. {) B4 l& }" u8 b3 U- b
7 I; w7 `( f& s; yto do-plots2 X: X4 n- e/ T) h, L
set-current-plot "Trends-of-Local-reputation"' [3 V7 L& s$ t/ s
set-current-plot-pen "Honest service"' V+ c5 A0 f* ^* F1 d; Q6 N9 ?3 h
end" M4 _! Z" i. r$ E! v% o0 E
- @7 V$ I _3 O- l3 ]2 z2 ?[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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