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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) x* v1 V7 o/ t. ~# ? o% [) J
globals[3 k& V0 F! @, o' f( D x
xmax
. A. W8 x4 N& V$ E) Xymax
/ f" B/ i7 \. C; F: K9 \+ z5 Pglobal-reputation-list" `# f n' D4 v, \8 E9 s5 F
G0 v6 b& G `, _;;每一个turtle的全局声誉都存在此LIST中
: h! y& \' c f$ c* H" hcredibility-list
3 u' e: |6 }& N( |4 M$ Z;;每一个turtle的评价可信度
/ h$ ^; V* l5 i- M- g5 D3 t* |honest-service
/ N8 g5 }, g' q* k! Qunhonest-service- ^3 l% X% q. r$ @
oscillation
% @& M. |% b& ^+ U) r yrand-dynamic
7 b& ?9 \& K# z]
) y+ l$ J* c% ^: _
0 P4 u0 ~' Q% C* ~, @4 b. ?turtles-own[
1 X k$ n3 X2 Itrade-record-all
o" x; d; A) z4 u8 b/ K/ f: R8 |;;a list of lists,由trade-record-one组成
' y* Y# ~1 |; S* ntrade-record-one
* J: X# c4 M4 z- u;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
T1 Y7 T. j) s5 `& B8 @
0 J9 `' w; d) O6 v4 a* C, X;;[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]]: A3 I" u2 s! _! `6 L
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]- T# t% J: G# W( o- J- f* v: }! T" }, ^
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list1 r' F, D$ k; V# |/ {
neighbor-total( V6 n: p! h! ~/ y5 U
;;记录该turtle的邻居节点的数目! j p8 b, { u/ M3 \& {7 E" G
trade-time
: Y- C4 `) L* [;;当前发生交易的turtle的交易时间
2 L' D9 n0 g/ g" K: R8 E Lappraise-give
& `( T& e; @5 P$ W K( f2 O( _8 n;;当前发生交易时给出的评价
1 C ]7 P* i1 i+ N+ Lappraise-receive# [* `2 U9 _$ ^3 F5 g. R2 R. x g
;;当前发生交易时收到的评价# F3 ?9 t+ E! M+ t+ F9 E3 k/ K
appraise-time
$ D" G1 V' t, W;;当前发生交易时的评价时间6 a0 v+ E- s% E5 X$ _1 Q$ S1 ?
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
% U" L9 u0 `5 t5 j5 k+ vtrade-times-total. s. C. t8 w) D, B
;;与当前turtle的交易总次数
7 X h6 \1 ]; F: a4 d3 m) O& ^trade-money-total) L! V- |6 ?, h: j4 F
;;与当前turtle的交易总金额
0 p% [& t1 U& c+ Flocal-reputation
% X7 b. I! s' N6 d. p8 D- D8 |6 ?global-reputation
' V0 H7 Y# V$ r. w7 ccredibility) y6 [% e9 b$ b! H* P# k! {
;;评价可信度,每次交易后都需要更新: |3 {. Y/ z) L: Z
credibility-all
$ M1 r# D: P0 Y+ H* ~;;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* w. I8 W; D" ?# n
' p" z' {% f [4 I/ ^;;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
* M1 ]& m( B; w% Gcredibility-one
/ Z/ e, g3 p P; a) `- g( F;;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
4 w6 u: i/ i0 J" s' jglobal-proportion
. ]6 k% {' w& H7 d+ I+ Y; `' p# K$ dcustomer
, X1 a0 s4 e7 S$ |0 ~customer-no3 M7 `. S6 t0 ~" M R
trust-ok
$ q7 S0 s5 j0 o' @" a) i: @trade-record-one-len;;trade-record-one的长度2 W6 @. a7 p( Y) Q
]$ n# t3 ?; _9 K1 E8 ]( G
: N) ?0 u0 c6 j. S1 }, i8 T/ B;;setup procedure& D3 ]7 W+ [7 {& p: P) }+ J: a9 A
) |4 N4 u2 D# e$ Y: x: v" ~+ p
to setup0 {8 G# L O: Z+ @" s
3 j% q; L, a4 Q# h! l( c |
ca
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initialize-settings
5 d1 _/ n V( |$ w& h4 B7 R; _6 G( {8 w
crt people [setup-turtles]9 q5 p q% b+ K3 i3 O, m1 L
1 u! J# ]+ [- ]; p; zreset-timer
( _4 K8 ~/ L/ ~
7 x# f2 {' E8 O! D7 L: x' P/ D" z! L2 ypoll-class
, y( |$ ~# O$ N1 M0 ]
, E9 G3 I$ `; X$ t: fsetup-plots9 Y# Q7 q7 O8 r
/ j9 j! _. a, o5 t) J& v
do-plots
) S; ^' M- X+ t' C$ E, N, \- Rend# e0 T% \1 K5 p& W' n/ }5 b9 U; Z/ v
# @; s- S, w1 P/ kto initialize-settings0 l- u2 W" S7 w+ c% a) k- J# Z r
: x& X+ w) E0 P* N1 |9 x+ g; d" _
set global-reputation-list []) X o& z! N% {8 h
. L$ M, c ^( F& B( y" d5 ?
set credibility-list n-values people [0.5]( a7 ]! H! H: L( q! f9 I
2 y; q) y6 S6 |! I$ Q5 Oset honest-service 0
% V6 u4 {! `; v5 f0 y* x7 U
6 v& l: h" ]% x4 |# eset unhonest-service 07 `, f" M6 \2 U0 t
8 |3 f8 |$ e# j7 A0 b$ q
set oscillation 04 x6 U( ~8 S% F: t+ g5 j9 Y1 [
/ w y$ y4 }$ ?/ {- S% ^3 Sset rand-dynamic 0
( Z+ o. d4 O3 w5 f& _1 O7 u, _- Yend# ^( M0 |0 Y- c- G
$ X' M* i3 m4 a: B- l' w8 G# `
to setup-turtles 8 n7 ~! P/ |' L7 h1 S4 f
set shape "person"
$ G/ l6 j2 j) |, ~; u6 Lsetxy random-xcor random-ycor
3 M' \( _/ v6 V1 J( Wset trade-record-one []
9 ^' Z2 @$ o. ^" c- R9 F2 |' Q; N
set trade-record-all n-values people [(list (? + 1) 0 0)] - z* m$ v3 D0 G4 |1 l p1 F% f5 |; T
$ U1 H7 P6 a- a4 b' |
set trade-record-current []% `, y/ }8 q# R: M# w
set credibility-receive []
8 P7 r' s1 @2 ?3 K4 e* v7 Vset local-reputation 0.58 X& x. w) l# c
set neighbor-total 0
% D( F# D+ U+ zset trade-times-total 0
1 z9 t- y( F1 ~7 G" Vset trade-money-total 0" f/ _# e- f8 M, A
set customer nobody3 c/ s: a. [$ X8 x4 K& l; f0 ?1 _
set credibility-all n-values people [creat-credibility]9 Y, ]. r" @3 V* D% r
set credibility n-values people [-1]
" @9 l: {$ E6 B1 t) _, Gget-color- `9 i! p+ @$ b+ o( e h$ |" N
) ~1 X1 g( _& a3 c6 wend/ a: {3 s$ h# W% @3 C) {& x
/ K8 D' z' b) G, o, L% O) \) D
to-report creat-credibility
# n: J7 k% w, ]3 D: g+ xreport n-values people [0.5]
1 {& d5 m$ }! T4 ]2 uend
) Z3 x K/ U. @# [! m! y7 W
" `$ g M2 S p) n) Jto setup-plots0 r0 W8 [7 c2 P) a8 ?
( ]3 H# U2 C& _% P$ c) Z
set xmax 30: t' x1 S L; e: I( L
, C1 e1 k! i4 n9 E
set ymax 1.0
9 L" w( ?9 m: }* G8 K- ^) a" H% T+ V: Z9 E# W o2 Q, f
clear-all-plots! l& Q6 h9 T( y; Q7 t; N
' R" M {; \; Y% S$ f# V8 X. j
setup-plot1+ v! J6 b A: p
4 }, B [4 [1 s0 q$ r5 F4 f
setup-plot2; y! X4 b0 ~0 ?4 G1 C& C
/ c3 ^4 T1 i! C3 ^setup-plot3
: a9 I0 M0 |, [end
, K; ~+ b8 u. C# x0 Y; q
# Z7 V$ y" h5 z$ c5 {3 e;;run time procedures
- Y V1 }$ V/ Q' ^1 h* x. \6 [* Y
to go
% r. B7 }- e' a+ D
, v' ^! c6 s% }- t: S" Q/ d7 d/ Iask turtles [do-business]
7 G: u2 B$ |6 U Q3 cend/ S+ ~1 l1 W) B
! M$ I6 J. g+ z
to do-business
/ W) r' y+ M; p; ~$ T) P* _; B9 o' Z3 q
/ B5 J* Y- w3 B/ h& |
rt random 360
( w5 r: P5 G; M& Q; R& F$ E) p, j; z7 M4 ?3 h
fd 1
7 i& j! v1 M: K5 b0 B: C* n- h6 i
* l! n, K' @% N3 p; B- [ifelse(other turtles-here != nobody)[
% P4 k: O' i; N# g- U; e3 k
: P3 W) ]0 J8 c; F U& Q1 Qset customer one-of other turtles-here
& w4 n- L0 v) E, @) U6 j( b- u& K0 E0 {7 m- j+ E/ [( S3 v
;; set [customer] of customer myself
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set [trade-record-one] of self item (([who] of customer) - 1)
# T$ |+ Z# G# \1 B+ T& I$ c[trade-record-all]of self! l0 s$ K' b5 o
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self( c+ }! H- f, X$ C h( ?, Y
/ B: Z$ Y* |1 T* z, X
set [trade-record-one] of customer item (([who] of self) - 1)( z7 t! I: {' r* Z# V
[trade-record-all]of customer
2 U& v8 G3 b0 M! Z+ Q# g; M2 g1 R
3 ?1 O' m J% E! ?7 |set [trade-record-one-len] of self length [trade-record-one] of self
$ o& y v C/ e2 V: ?
4 M1 _; `" Y( q+ u- k3 tset trade-record-current( list (timer) (random money-upper-limit))* c) i+ |2 D! @3 m! X
$ j, v6 N ~% _# I( e
ask self [do-trust]
* t/ ^+ c* E( e" K;;先求i对j的信任度
# X& @+ J) d9 d6 |
% R- d+ D. u. @5 o' V( iif ([trust-ok] of self)8 P' s$ b. e4 \+ W: M$ X" ?
;;根据i对j的信任度来决定是否与j进行交易[
9 l4 Q% J+ z1 h+ gask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself+ c- N9 W5 I0 q5 R6 K0 H$ M
1 C& X6 o! [( F* |
[* h6 B. z/ t1 r! {- N' X6 m1 I
7 \4 ?, \. ~+ ~- Y6 x
do-trade% ]; C& I! U: ?
- T5 q) ^1 ^. h6 I/ _7 V0 L+ b
update-credibility-ijl
1 e" w& T+ t/ V+ `8 V
1 Z" E4 n' x" i z2 gupdate-credibility-list- o; O; W, {, [: ?4 k" r7 |
* S- l7 ^: a. l- l; H( O
8 ~( N: n4 o# F; y! `8 pupdate-global-reputation-list
( P6 t( G7 M. @ \: X% z
' E; {9 D( z+ N! `0 i: \* Qpoll-class4 `/ F0 B7 U) l1 W% }1 I: Q
# q9 F0 N* W- R+ F- n, X
get-color. x' `& }5 W0 b3 `1 \! Y
; O1 n$ N" d8 o, w. A2 Z& ?
]]0 N9 d: ^) d; o, L- [
8 `3 B2 Z& h9 a6 d
;;如果所得的信任度满足条件,则进行交易4 b3 O, r, u. l# N: j( n, r
# h0 p3 I5 ~/ R, \/ Y. w' X( d[
% N2 z7 K; ^" R# w3 H5 ^5 Y; ]' B9 K8 N$ R# j& _
rt random 360! v) l5 \) v9 |% q% J/ m; ^0 ?
2 F: K2 i7 A, ]- g2 H6 E# s
fd 1
- I6 A9 m! v% n/ Y0 N! h5 f! u. w
; D1 U1 ?, D2 X4 V]
6 I, ?3 Q# ~# ~; y8 F. z! T
* L( ?) Z x1 Dend
# Q. k# N5 h9 F3 |1 i% H" l6 K# ?0 k+ l# S) W
to do-trust + z3 K9 \( ~: k" i- l
set trust-ok False; _& O1 u- e9 h3 b
* C4 K) \1 b9 r4 R7 k$ m3 ?
5 U- l' n- L* t. i: }+ O5 ?. m) Y7 Nlet max-trade-times 0
6 k* \% L i8 \. pforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]% ~, O4 A$ H& M
let max-trade-money 0& V0 x' g8 q8 Q9 c) ~5 a3 [
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
# S" |+ `; K7 z% R u) \# I; p: ?" `let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
2 N4 s3 l L1 n: ^+ M6 x1 n
4 P# {( u8 \: D% D" L
+ p/ ~1 o7 j5 qget-global-proportion6 q% V' P' ?# l: [" ~: m; U
let trust-value
% h% i2 o* Q+ L8 V# q1 m7 a/ slocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)- {) ?: ?! r9 z8 ~+ E- r
if(trust-value > trade-trust-value)
2 }" ]. k3 m4 \" b$ d[set trust-ok true]! m0 w/ P7 I% F7 B
end
; o2 j8 r' K1 e' T5 Z, C0 ^) K9 ]/ e" I) a, l
to get-global-proportion
" h: U7 [( V; m' `* {1 Mifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)6 i# A- A. \( n3 ?
[set global-proportion 0]
" N7 V; y7 Q1 V[let i 0
6 Z( a0 E, c: m9 H2 z) a' Elet sum-money 0* _4 [8 g; w, s3 ]% i0 {( U
while[ i < people]! `/ Q. p& F, |% R, V) R& U
[$ ~( d/ Q, j7 S6 }. [& S
if( length (item i
4 \$ g& u) K. A1 y[trade-record-all] of customer) > 3 )
9 O& O. {" p6 Y- b% }[! {& h/ ~2 Y' ]+ L/ p5 g `2 i% ]/ f
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
' O1 V" m2 B: B% C1 z% N* A]
* `% `# U" ?( Z9 O7 R% Y]) n ~& {) y2 r6 m1 f( Z8 w
let j 0
7 k5 ?1 o0 @. R. i) Rlet note 05 I/ s7 \2 \, E# c8 `8 X: P
while[ j < people]* e" a. O0 f% H1 n/ @9 A
[
) T, l3 D. e/ @+ j8 Eif( length (item i
& z* t% K! w1 h) X2 o: e[trade-record-all] of customer) > 3 )
& n' _$ I# x0 ]. z8 o5 @[
- T8 L; R7 _0 H4 v V# H+ fifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)0 e* E* a& H$ F
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
5 [1 g4 l7 { Q[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
! Y$ m: p" D3 \$ B: y, F]
* k+ R, Y ~0 s/ `( Q5 u]
; C7 Q; E; l( M( _set global-proportion note
, \) T7 i' \; k4 r]8 t/ r& C. {. |) t5 B& E, t1 ]7 T
end: O' Y: Q# b+ H) R' M0 O
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to do-trade
5 V3 g5 i: { O( y$ ^- \2 M;;这个过程实际上是给双方作出评价的过程
1 Y. ]- a: @$ W, ^. |set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
2 i' i) M7 g2 L. Rset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
1 e e. O) C5 o( i# O2 ?/ l( Iset trade-record-current lput(timer) trade-record-current
" ?7 w G# \# I;;评价时间
2 G- s' d; d/ c7 B( Lask myself [& [: t4 X$ `) ^1 z2 _
update-local-reputation1 V1 E9 ?3 j# h% G( i i5 P: u; X3 I
set trade-record-current lput([local-reputation] of myself) trade-record-current
5 S i% `# m- v% H" f]
$ l4 i8 ]/ @8 x9 Gset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself% h9 g0 Y+ Z& L' T9 q& v% ~" K: j
;;将此次交易的记录加入到trade-record-one中
! }0 [/ ?% G6 D% \0 Nset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
1 P) S* b6 c1 S: Y9 W5 Mlet note (item 2 trade-record-current )- L+ D& v- m$ ]5 `4 b' ~) R+ o
set trade-record-current
# X* ^( l$ \/ y! N" K; y4 q(replace-item 2 trade-record-current (item 3 trade-record-current))* L/ k/ }2 @. n( ^
set trade-record-current- u. R7 ~' V/ {+ T7 ^
(replace-item 3 trade-record-current note)
& l$ ~; U8 z1 _( h4 n
9 k6 L" R; b" X( x9 d
- H% }' L& D2 t, t1 b% _$ }ask customer [ [ g0 k- r1 ?& Z. ]) O
update-local-reputation& t" s' W' l- i t, Y; C4 Y
set trade-record-current- k+ y4 q# M/ r) b5 a$ q
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) 3 h4 @& M6 x" \& b
]5 K4 M) q7 {; E8 X+ Z
1 o1 @+ Q: v* O/ x. _
" m6 O6 ]9 B, Pset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer. s- u4 q1 l: v. I6 W( t" X
/ ]/ C! v3 _& v. B, v- T0 x6 h9 y
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
# n7 n# ~4 h+ N7 |;;将此次交易的记录加入到customer的trade-record-all中
3 Z% K) `: M! n n3 Y# I; J# A8 Gend
9 ^( A) f, R) p _1 }5 |2 q) g
1 r4 V1 ], B+ \ j1 |3 rto update-local-reputation
8 _( L% `0 Q/ gset [trade-record-one-len] of myself length [trade-record-one] of myself, O- P6 A( v w5 `# [8 f7 _
q1 k8 R4 b! x s: ?
C+ H' y, g- X( }) d3 r
;;if [trade-record-one-len] of myself > 3 % A2 t3 z) C3 }& h* s6 i A8 V
update-neighbor-total! a5 b' ]% B+ h8 l: ^8 u# [! ]
;;更新邻居节点的数目,在此进行% L- T; b s2 z5 I$ G! R
let i 3
+ q/ r+ ]0 X5 p, I$ ?let sum-time 0
4 |' M8 o6 u- S) o _, ~while[i < [trade-record-one-len] of myself]
8 c; t) i6 ^4 T: X! {[$ ^5 r4 Z/ {! b
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
Y' n9 i' a( c2 u1 [4 Xset i
: C- w* E+ b* S# C8 ~( i + 1)
5 R' I0 j+ Y& r1 B0 } T], @* x! L: L3 D, {1 t' W/ U2 h
let j 3 |# A2 j6 d& M# @7 I
let sum-money 0
- ? r6 ]+ F' }% n% }2 h- Kwhile[j < [trade-record-one-len] of myself]
1 A) B1 u4 v6 R! r7 _/ B* ~/ {[
3 u; K/ r. y0 P7 {2 A$ yset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time); f. i( n- W6 {( {- ^2 R. | m/ Z
set j
& z7 J7 ^5 `" g z- o" O( j + 1)
- [$ q. [7 w5 W7 f5 F' E]% Y- j% G0 N: _. V: o; H4 T+ [$ e
let k 3
8 x- F; J5 q! j/ k$ g: C. i7 alet power 0
* F. h+ B9 ?7 M$ U6 I8 K! rlet local 0
/ i6 _- v( |' \5 e4 Uwhile [k <[trade-record-one-len] of myself]
" Z: Z3 W& i, E[. H% ]2 X! q) O
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)
0 z" E; h5 _2 ~5 }set k (k + 1)
& ?: \2 u1 \( x# q9 u# o]
8 B: e4 n/ _: w: D- u1 \1 M! pset [local-reputation] of myself (local)0 }! ^+ U7 w8 W4 m
end7 D# G- y2 G% P2 _1 p
1 n- j# b" p) x, `1 b" ]9 U$ R
to update-neighbor-total
8 \0 k0 n' O5 Z/ c r. {; d& F6 m1 ^/ i) w* _2 j4 b) q+ i
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]2 l. z4 V% B2 o
1 k% U4 K5 O7 I' u* A" {2 Q# ?2 k( G6 e2 ~0 C; W% d
end
6 P; a( l) r* e: i
4 i! q7 G) T+ V/ n6 nto update-credibility-ijl
2 I, Z3 H& R7 M6 k* H6 p! S W- T+ ~1 T/ M
;;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。
! p& R: J- X# l" {& _7 i/ K0 E; U# llet l 00 |' a4 D$ J& ~
while[ l < people ]6 f& r4 Z' N! x |
;;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" B& G. Y& c% T5 f% o
[
2 A& ~7 W1 R& |+ d; C/ K4 glet trade-record-one-j-l-len length item l ([trade-record-all] of customer)- \+ j: E/ R5 H2 f
if (trade-record-one-j-l-len > 3)( e$ H h$ |" s( L4 y8 S+ J5 I
[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* a1 [9 ?4 h( d; E2 W
let i 3
5 R6 F% h2 h7 D+ k% t0 M8 I Vlet sum-time 00 \1 R& ]* @2 v4 r: D* m. V& Z
while[i < trade-record-one-len]& u- B! ~) o9 R: O8 q
[3 w1 o5 L$ f% ?8 `' R
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
9 C4 a3 Q' E* N& Jset i! a# @/ F# B7 w. N$ M7 e3 m" j) b
( i + 1)! `8 N" ~. m8 A( I3 \. T
]
0 V( `# i- p9 Q( D( Glet credibility-i-j-l 08 \/ r% [) c0 ^. e
;;i评价(j对jl的评价)
# A& U& \- A! X- {' s& G* jlet j 3
. B6 U! O+ j& q+ I" ^. flet k 4
" `5 E' R1 r9 s/ `5 Zwhile[j < trade-record-one-len]# A- u3 H7 e4 R! ]3 C% [
[/ T9 ^( D Q; p$ a1 `$ e6 a" d% ~5 Y
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, y4 K; d1 `, I# T
set 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)) E: K! @: v1 E0 b9 Y+ G
set j
- {( Q4 {' ]4 f% Q- _# I7 N( j + 1)
4 N( i; f4 s! P! h" z], H8 c( c8 k& d/ }; m& H9 V
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 ))
# K3 o% J1 v5 `- b; n2 [
% q& F; k* L& G$ w7 V: @1 n! \
2 j5 ^7 G6 x/ x. l" F5 D, \let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))4 |8 E% A3 _1 V: M7 x; g
;;及时更新i对l的评价质量的评价 ~+ @3 m `+ j1 V
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
2 u( z- _ M2 A* i* hset l (l + 1)* k( e* `. ]6 l( g" J
]
4 j3 q9 V' E( p+ Iend
6 D; D, |5 h2 c* v7 p/ }% X: z# y: s+ Q4 f& W! b w% v
to update-credibility-list
, o. k0 S/ `! {) w0 i Alet i 08 |6 D" J7 b- `3 S1 ]. c4 I/ U' E
while[i < people]
9 Z- E9 M) j; O, K, ]) f U[7 y. p' x/ W0 x; ~1 r
let j 0' f0 e8 y) Z0 B. `+ K& |
let note 0
2 c) {8 ~9 U. \) E2 U- O8 {- Elet k 0$ q6 t6 o5 E9 _: h6 X8 P7 W& i7 b
;;计作出过评价的邻居节点的数目: @9 V8 E- u _) y) _
while[j < people]
. Z2 B. x7 X+ q[1 I% ?$ q3 k" W$ H d* A2 o' ^
if (item j( [credibility] of turtle (i + 1)) != -1)4 {8 k F9 s* A/ t) [9 y2 L; h; S
;;判断是否给本turtle的评价质量做出过评价的节点
* d, |: r3 s9 _! j" \& q[set note (note + item j ([credibility]of turtle (i + 1)))
4 E; Q# H/ O0 x;;*(exp (-(people - 2)))/(people - 2))]
# H. {- |2 L0 v/ F1 Y8 `set k (k + 1)1 u1 F3 i( x/ m) Y5 e( d, z% c4 Q
]
, [7 r" |9 y5 H( X2 I- {; j* yset j (j + 1)0 ~1 h3 H w! X& _7 Q+ x& r
]; s [# ^! u& M6 W5 [
set note (note *(exp (- (1 / k)))/ k)8 T- V7 R' c% f3 {
set credibility-list (replace-item i credibility-list note)( d8 O& B N' q
set i (i + 1)5 e, n# u& ?4 }8 r
]9 C' N% V+ V( f
end9 A$ _+ U2 q4 ~1 Q
1 p4 ?; O! _2 R$ V) n- x0 zto update-global-reputation-list
( B. _! E9 k( R. i8 ~let j 0
% t& P/ X' ?# z: X0 H T& {while[j < people]
; H# m; Q0 D" T[" S( {- W1 f# ^4 B1 r
let new 0
2 Z6 D e& D( q6 v" S% W# m;;暂存新的一个全局声誉
. z- S) z r1 F& C( p: Klet i 0+ g# U5 e x6 c3 t
let sum-money 0
0 [/ a1 p% o/ H: [let credibility-money 0# ~$ B, x% r# f. F( y1 a5 k
while [i < people], M. c2 {/ N8 ~# ~3 U; G
[+ ]0 g4 I+ X# z- q% E
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
8 k% Y. E: M/ }6 j& b5 p! Cset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list)), w& `& Y( ~& C$ U; K( Y. b
set i (i + 1)9 w! c; W" U4 u. \- i; d4 X
]0 L6 l" S% G i! c# O# j
let k 08 t) ?% N/ v4 k
let new1 0& y& s. K7 M9 l$ e( \
while [k < people]
: ~* o" H8 g3 N: Z2 z[
1 G$ [! J7 O/ i/ g/ a- [' ]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)
( H5 }# I9 X% C2 }/ H H8 Nset k (k + 1)' G) r, y2 I9 @4 [! z) M K
]
9 B) _4 c' N- e" y" mset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
9 Y. F* h* w2 p6 dset global-reputation-list (replace-item j global-reputation-list new)
, S t9 A9 l; W% b8 w5 [set j (j + 1)
% |) A) o Y% W- I3 N# y$ B]. L3 w2 i7 E" y: a
end' u% a! |* l* }* O* x2 A
7 H/ C9 Y3 s" d
% ^+ G* m- n6 w6 w1 }4 s
2 ~# V) ?4 c, V; G/ Gto get-color
7 Y* i3 u7 o/ W5 W3 \. q1 h5 t
: _7 N4 h4 {: }1 eset color blue
1 A& _0 u e3 i/ m7 mend
: q5 |$ ^/ O8 z& G/ z# ]
1 v( j3 F, Y% dto poll-class T5 s4 `1 ^0 I' s L$ e
end
% @7 F( y1 J/ M' [
1 r+ H C) X/ ~' j2 j1 V; Q, qto setup-plot1
k" Y% {5 K$ f- f& B! G
( M2 r' Z+ s- Z, q! oset-current-plot "Trends-of-Local-reputation"
1 C% I i7 z; L' e) B) V) H( t& Z5 h5 G" ?7 e! H) e
set-plot-x-range 0 xmax
# h- P# U! }8 D$ s' F0 j3 l! n7 Y0 x
set-plot-y-range 0.0 ymax
5 n* I+ T4 R9 b1 w' B& N; V. send
$ }3 K9 X; r2 q7 |. k, P( a) o9 ?1 i/ i( K
to setup-plot2
$ u! Q9 c8 g0 n. {- H; Q1 w/ p9 `$ U# g( x
set-current-plot "Trends-of-global-reputation"2 D6 N( c; C8 f
9 W7 L* b8 r# W, g
set-plot-x-range 0 xmax: M" f& w8 e7 L/ U5 h* J* |, u
. N4 o& f) a! [% C" o
set-plot-y-range 0.0 ymax
. f( w, n& O9 H+ Eend
# s" \. _0 h$ P- Z8 ]' @. b G9 m' V8 o) R3 ~# N+ F, X
to setup-plot3 U' V2 c9 A2 M1 A y T' E0 e
9 Y5 n( x( ~0 S. N5 h8 S+ p c
set-current-plot "Trends-of-credibility"
' F$ s) M% b4 ~9 x0 _$ w# @- x5 _* _% Z0 c9 h& M; ^0 ~9 P
set-plot-x-range 0 xmax
/ n- h5 [# S1 C" y
, Q9 S( O, k" j. j# ^( ~set-plot-y-range 0.0 ymax
1 w6 E# N: |' q4 fend/ n+ x [* K8 h5 ]( ?' W2 n& s
7 B+ _" c( Z' @: eto do-plots
! q6 j( c# ?8 z7 y iset-current-plot "Trends-of-Local-reputation"
: v$ I4 ]" p1 Z: {7 A" Dset-current-plot-pen "Honest service"4 c- j2 X/ P! }4 g5 z: {) W
end, R* ~& J, z* S3 _! n; |
/ @# V' t6 W& _[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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