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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+ q* I& J) ^! J. @( F2 i
globals[4 Y% H8 U/ a( V
xmax
' l# }7 G" H! m4 P! _* d F Hymax" ^5 J& s6 W% }
global-reputation-list
8 J1 D1 i* I' T P; }! C: R! J' y& M6 ~
;;每一个turtle的全局声誉都存在此LIST中& x- Q2 W/ |& a L
credibility-list3 A y9 m$ h" {3 T; B
;;每一个turtle的评价可信度6 [8 m! g* }8 w+ P: @( Z
honest-service3 u; ] C! k( @1 q0 I
unhonest-service7 P1 d" {% m3 O: Z& l0 I* C7 A
oscillation
$ B4 f: U! k4 G$ J" Orand-dynamic
. l, I" @' t3 O% K! q- G. w]
y+ m" {/ {1 @; a* S3 x5 v$ H/ X( {5 O5 p$ ^+ W1 z3 g" c
turtles-own[
# [) \, F T! qtrade-record-all
$ K7 {1 |9 k; h* y- y;;a list of lists,由trade-record-one组成4 q0 y. _' W7 g0 D' T7 E/ g) [
trade-record-one2 ~- q: j6 D, r0 l9 D6 D+ j
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录& J( I+ k9 W' X7 {
8 g' |8 M, J) f& 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]]
0 @3 k1 T( `/ i9 Btrade-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]$ |% R+ P5 S( E0 t# M7 ]) @
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
2 D* p* q$ q5 ?+ W- x0 Q+ ~neighbor-total5 o: {- c1 T; S9 U& K7 H I) Z
;;记录该turtle的邻居节点的数目
0 f# T# |5 Q/ r' w, k3 ztrade-time
8 i W7 \: \4 S; ^3 m' m5 w% R- g;;当前发生交易的turtle的交易时间/ r! t- X& }9 N/ {$ p& d9 o
appraise-give N) F+ \+ R& B/ Y
;;当前发生交易时给出的评价
& N+ w2 Z2 L7 l cappraise-receive6 m4 Q! |5 N! m3 P$ b4 C
;;当前发生交易时收到的评价
1 r$ Z: o/ H$ D8 nappraise-time4 p' N7 n6 m0 j
;;当前发生交易时的评价时间$ i+ m: Y6 X$ J& ~8 ]& X
local-reputation-now;;此次交易后相对于对方turtle的局部声誉$ _. G' Y/ F& U, j7 @
trade-times-total
" [0 @8 y4 W" w& L4 O8 h;;与当前turtle的交易总次数- Y& z8 I( K' N" i u
trade-money-total7 Y# r+ j& u5 n& l! p
;;与当前turtle的交易总金额
* T' ?- t' [' l% ulocal-reputation
. E u4 q+ I- [+ H( iglobal-reputation( A3 s+ E7 @+ t8 G; r2 y$ _, S
credibility
* n. T1 `4 S3 f1 R. D/ o;;评价可信度,每次交易后都需要更新9 y3 u$ O- X0 @$ a
credibility-all
$ l/ B. ]! b& r5 ^;;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
4 ^' O I! E7 {. n' ?) P5 J/ ?! D9 M& n: l
;;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$ `& R: s* S( p1 D* f5 }1 Q6 V
credibility-one: X2 U) \; a$ k# m9 v( B
;;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
" I+ C3 U6 D% n9 sglobal-proportion
0 r, \6 F" J' x/ k, b+ ccustomer
2 U* d8 m* I$ F8 ~% R6 C0 ycustomer-no2 S. s# B" s* V& f
trust-ok5 y8 @4 ?/ [1 d: P8 H
trade-record-one-len;;trade-record-one的长度
7 g# Z+ d! w0 s1 i]
( o+ M3 S( \' [+ G+ |, l& P) P/ p6 y& k/ ]+ M8 ^1 z
;;setup procedure0 m; X3 t }) A
0 t* V/ r0 d7 }' g1 j6 w6 F2 ~to setup* E Y' ^, F- q* N6 `- I5 K# z
, z4 K! Y9 y4 w" h, w, gca0 S6 f! B6 Q$ M6 r
3 q- N% T( I. d% s- e
initialize-settings5 @3 d! W3 E5 @# M2 v
4 w! Y0 X6 c4 l' _2 i. ?crt people [setup-turtles]
5 O+ \! ~1 o7 f
5 T' B$ \& e0 ^2 w8 kreset-timer
- G" y$ R" Z" e2 o8 M% v% T* w2 o# N+ a
poll-class, t% C H7 a* g+ T5 P# ?7 P
; K+ R. @) {, g3 c. f+ H6 @setup-plots5 \+ m4 W4 l) L$ l
3 Q9 c6 n8 B2 W
do-plots
! x: t% [& T, B: {/ G+ qend
$ S+ q3 j3 O7 Q: t) t, f( j6 j5 s7 ]- F! J' f
to initialize-settings0 C" I: c5 E: {9 R" a& x- r. J' D7 S
7 J- B$ @, b- w$ rset global-reputation-list []0 D3 k7 m7 U" Z/ f0 I0 g/ V
5 P" U! {% S& s6 F
set credibility-list n-values people [0.5]
8 f6 j- I, J2 d4 r7 I5 G8 O
9 W8 F8 l, e# Q& x8 D! j6 `2 Z/ Sset honest-service 0
: X4 M1 z: Q j* e0 N
|2 S8 `& M4 Q& I& Y9 p$ Wset unhonest-service 0! q9 Z c$ ` Q- Z
3 s! R3 H u. W
set oscillation 0
]/ ?: e1 q7 f; H) V. e( g$ I- S+ ^$ k) M; S
set rand-dynamic 0
% H6 M5 \' l; G/ J& q8 L0 f/ R' g- iend
, x! S7 w9 S c: P+ }1 b) x B% W9 Z1 ^& i, x9 k! `9 x/ Y' ]+ a
to setup-turtles
+ b7 f) F- u: B% v1 f+ Lset shape "person"5 W% x f7 i: J+ W
setxy random-xcor random-ycor% r. Q# X7 Y* W) n
set trade-record-one []
# A- J# \$ z1 L. I4 {$ I7 S- i- n1 @
set trade-record-all n-values people [(list (? + 1) 0 0)] ' M" h) p. I) U7 b7 {) x
' G6 v" R9 K( Z! u
set trade-record-current []% `& R) Z$ W! x' Q
set credibility-receive []' s3 N" e# \& v) V# ^+ i7 E
set local-reputation 0.54 ^3 k3 D3 f( b0 O ~* C# k
set neighbor-total 0
0 g6 X4 J) H$ z9 W) kset trade-times-total 0+ [+ z" Q3 t* U% K- w, ]# S0 G
set trade-money-total 0+ Q9 `, W( Q' l) Q) H8 p) y
set customer nobody# S s- V9 Q. R- Y% ^( _* z
set credibility-all n-values people [creat-credibility]
* M6 L+ \* l h2 Wset credibility n-values people [-1]
& ]! G: l! y: }; l0 \get-color
" j2 W4 p# s( S# t
1 J2 t0 n* @$ Send
8 F) Q' d2 F* I# P+ {! T8 ~: G |! ?# a. q7 K x
to-report creat-credibility) Y$ V' `6 Q4 ]/ F/ L5 n
report n-values people [0.5]
0 P3 m9 g. S8 h; C; W# pend
@( u& n0 t4 M$ P' E
: C, ?" Y3 e! Q' }1 pto setup-plots% {- X) H. \+ M
& ^( Q: r, ~$ S9 k' O- Xset xmax 30% D: D, P5 f# ^: @' e1 E5 p. p
3 q: m$ w8 e M3 ~1 T' cset ymax 1.07 F( h5 C, q! |: O; c
8 k: Y2 ~0 B' }/ t8 d# J3 p& U
clear-all-plots
X4 ~" h* K* ~/ w/ _9 H
, r" q; ~5 }* d( r1 X! \% N, psetup-plot1
9 c" Q2 ~, n7 d% e/ f: W% I/ Q9 k- `7 f- N2 I
setup-plot2. r2 x2 L* p6 C$ e* I& F. c5 K' k% A; N
: c# h+ \# Z. F: p2 k# A4 J
setup-plot3 ^. C6 C6 w$ ]- m N
end
5 _; E% j7 \7 H. S
4 |( }5 y4 B$ L; b" @0 J;;run time procedures6 c1 j* Z" W3 [# d
- d2 M. C4 h. r# _; D) k, c1 n4 Oto go
8 m& E+ B# Y/ {! V0 Z
8 y, E6 d- }+ r6 rask turtles [do-business]
- H* T) z/ \ |4 B8 T/ Send
' f4 t8 h J% C6 U( z, O7 t# ~0 R H6 y' t
to do-business . t' l3 u9 `! [
# S) a) \3 a5 m8 H8 x& _' g$ p% B* E: x, U% a
rt random 360! ~0 C w! M4 u0 [
! y# P% [( M( l* L U9 a1 {3 e/ \
fd 1: H' d' q* i% v7 k2 D8 d
' g9 Y& [" Y. Q) @
ifelse(other turtles-here != nobody)[( o \' z; e; l Y
. i7 s& l. D9 S- B
set customer one-of other turtles-here" u9 g$ O- c# l7 I' V! `
, {/ _- S( z2 E. i! X: c! K+ y
;; set [customer] of customer myself
) d1 P% k [' a# s5 x2 o8 O( B6 [; Y& K5 I* e: d P* Z
set [trade-record-one] of self item (([who] of customer) - 1)/ @6 E9 k, l3 k, X# {8 R
[trade-record-all]of self/ K) h9 W) @; C% L" e
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
! G3 K4 r, E5 N- S9 t
7 U2 ~3 R: A1 P! w+ I: Rset [trade-record-one] of customer item (([who] of self) - 1)/ {; A5 q. {5 \/ R; q
[trade-record-all]of customer& q; J, [! M* }# U, _4 M
! G! W# v0 m7 B. f7 ]
set [trade-record-one-len] of self length [trade-record-one] of self1 R/ y0 q! @8 Y* R+ w" h
0 C6 C4 h- ?' n. m# J6 ?
set trade-record-current( list (timer) (random money-upper-limit))
# v' W7 h! n7 c) U! v G7 B8 P
2 O2 h* x7 J7 P5 `: Wask self [do-trust]0 @, H2 l0 M/ W" r
;;先求i对j的信任度; @0 p+ h$ ^- c# [- w
4 f) H# O5 B& N& O' @- }1 }
if ([trust-ok] of self)
/ z. h9 e9 y0 V( Y7 j% Z8 S;;根据i对j的信任度来决定是否与j进行交易[
+ X* e3 S2 b; X; U" Z cask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself' C+ \! G$ D, b- m& j7 m# e
0 v, G2 A9 a% W3 X9 k# `! G[
( v0 \, x' c$ ?; F3 J
: o8 N9 ~# j! p2 g$ \' {do-trade( o3 ?; m8 C0 D5 T" z' u' S
/ g+ w0 s7 C! i/ p4 D
update-credibility-ijl, q7 `: Z, }% o) ?
8 K1 f' ~7 H7 c Y: l5 D
update-credibility-list
L7 a1 W f1 C: h# s! T& g) u. K
; B# O0 t- u) vupdate-global-reputation-list2 q3 y! Q5 ^# f7 I* [/ c
y; H0 p9 Q; ^+ W( Fpoll-class
h" g6 u* ^7 \) H ]' |4 P/ E* T$ v x9 a! S/ F* A
get-color7 f" [; f( I* K# v: ^( U
# |4 u( n3 ^! J( }! W
]]
7 U2 L$ x% ^6 M' _& r& ~ f5 U% H1 f- [8 o6 t0 F" K4 u
;;如果所得的信任度满足条件,则进行交易& o% ?9 y8 r( `
* l' Q+ j% f" w7 S4 v6 x
[
0 d1 z: G* P, O% g; ~+ U5 K9 q
$ g, L& b% R- G8 z8 y3 ?& [rt random 360& @+ T( R ]- T N# t! S( s& C/ g; f
9 ^& W( s1 h2 Z2 R( m
fd 19 Q* Z+ ~1 [( u1 S; R; w) M! `! E4 S
+ C+ i& [+ c( o2 g9 K- ]- h7 N* Z! y8 Z
]
0 y& c' ^8 W0 l& p" u n. U1 o! z, O7 e% [& |! J. } ^( F
end" y' O! w/ k& [
1 l) e; t D9 u+ Lto do-trust
% ~# ~2 E5 o3 \set trust-ok False
. z& S" _8 {* N) _
0 D! V2 |& m2 P3 m1 s* f ~) R3 V( Z& u, l" L) {0 G9 ]1 O- i6 i
let max-trade-times 0
$ E" b0 F) w [* l0 Bforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]5 Y) s) {2 r5 L0 S# M. G* I3 T
let max-trade-money 0) f2 |* R1 H8 A1 x/ c
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]! | t4 ^5 q; ]2 V: _6 ^: w
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))* q+ `( @% N7 a/ }. k; b) r, B
2 R$ Y9 e3 D4 z5 S
# V" B) q5 U) G! k; I4 T' hget-global-proportion7 ?9 d3 O2 K m4 ], N
let trust-value2 P7 f, Y! \- n1 E m$ G$ ]
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)
6 I+ S- j* u, eif(trust-value > trade-trust-value)
9 n8 T$ D+ e% D- g( R6 ~[set trust-ok true]" C" T# d/ J1 ~, k' _
end0 z6 U9 v" n/ g- }- H+ |
6 [0 F6 D; W2 p! r4 ito get-global-proportion
/ z! d2 ]! L6 E; C: Uifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
7 u3 K* o! j# _3 Z2 O[set global-proportion 0]( T9 Q0 H4 a) j( x
[let i 0
! s# k% h) b7 ~2 P& J' nlet sum-money 04 F8 d% R/ {! Q4 l
while[ i < people]
8 Z/ w- ~# ~" Y* R1 u[! J3 g, z* `/ H& I3 t
if( length (item i
& l) M# o q! X4 p! N[trade-record-all] of customer) > 3 )5 `5 [$ |; |; U4 a/ g! E6 b5 q
[
+ c' o; t2 ~: D3 Z- oset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
1 ]$ W( l0 X1 l]
4 ~) e$ O" R; o, G# e4 X]
/ A( I4 Q* x4 r5 V9 y0 r- nlet j 0) \$ D; ~' M" U+ k; v P
let note 0) l! \7 g$ |6 m) [) k( g6 g6 i5 |
while[ j < people]' q" B9 i! ~* ?; o3 ^; ^0 O
[9 _2 X+ M: [; s& m
if( length (item i
# d* p& ^ X2 c+ v1 N1 u3 ~[trade-record-all] of customer) > 3 )
( z) d& A* Q. E) z6 ]: V2 k' j2 v[* |/ N* j3 L5 K, H- N
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
: L* H9 b8 ?8 ? ]# K[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]/ ]! L) I1 e& ]
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
q$ i, H6 u- ]* y4 F- r]) n% s/ ]7 u s
]
% Y3 E5 h& B- c* Z- t' c: P5 r% sset global-proportion note8 a9 d4 ]' W! {, z* s& Z8 a8 {8 i
]; Y$ v9 i# J4 ~
end \! S) W; U0 k5 _# L- N' S8 f
) g# E$ \) e- t& v2 i+ c% ^to do-trade4 B, m, P& O- Q ]- [4 @# Q1 Q' Z% z
;;这个过程实际上是给双方作出评价的过程$ \1 W V# ?0 @0 j& d: O- T3 P o
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价% w, w @ S. O7 M/ D, v- T
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
. m8 r( b9 }# j9 `; q8 R* Y" T. sset trade-record-current lput(timer) trade-record-current) j& b8 w }5 Y, d
;;评价时间
6 W' w9 S$ X9 gask myself [
# ~+ O" _0 r' U* `0 |update-local-reputation: p6 G' \* e6 [* J
set trade-record-current lput([local-reputation] of myself) trade-record-current t$ p, }, H( C2 c. ~
]6 x) l C- S: T2 ~1 J* X, a
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
1 ~/ ~, P/ x# w7 `7 t$ `2 H;;将此次交易的记录加入到trade-record-one中
/ v1 ^% ~6 n. ~4 ?4 a+ F2 i2 zset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
2 u9 H. ?& P: v: u/ }let note (item 2 trade-record-current )
, c4 B( u# X1 _5 e( Yset trade-record-current. {5 w* P1 \! G% r
(replace-item 2 trade-record-current (item 3 trade-record-current))% _6 R7 O- a+ p( H J+ q
set trade-record-current6 L: ?) T# y- O6 z. o U; e* y
(replace-item 3 trade-record-current note)
; ~' v3 m( U% t1 K, _
7 [ C! @* W3 t+ W8 {! b8 H$ _$ s; t8 y: k4 I: p8 s1 }
ask customer [1 B6 V7 E6 G# G& c7 B. R+ c
update-local-reputation' q+ D: \9 C H$ ?7 V) }6 l$ J3 h
set trade-record-current1 g) ~# c' D8 I* s3 J. z! B
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
8 j' E) E+ |: y. `; m]2 x7 v3 q; W3 ^ ?; S! u+ h
B0 q+ R3 j5 b5 l
/ z! o' T$ { hset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
0 S* A' Q6 j3 W! o8 g
- U% O1 T& B, y; yset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))2 _8 ]4 }% o3 F# i5 }& ^ h; K
;;将此次交易的记录加入到customer的trade-record-all中
( V/ p/ u- Q( J" o* _% I; x; Qend; B L; a9 a/ u5 v9 f7 o
" U' l* P# f0 kto update-local-reputation
8 @ z; n! s6 J3 Mset [trade-record-one-len] of myself length [trade-record-one] of myself- ^: E# N" L3 g8 d; k
. ?! x f( p4 F! d; \& P. U
6 L {; \; q2 M9 O, |1 B;;if [trade-record-one-len] of myself > 3 4 o2 v$ x7 i1 P( i' g2 ]# E# v
update-neighbor-total4 z3 k- _, F; V, E5 c5 g
;;更新邻居节点的数目,在此进行
2 y: P. {, b( U klet i 3& j/ y, x' w* G
let sum-time 0, O4 f* S* I. s4 b1 }5 C# W* I4 m
while[i < [trade-record-one-len] of myself]
; c. `# B k% Q. L[
. L- A8 S. M; A) H) Rset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )/ m$ B+ A9 Y l% U) D2 I) p
set i- R8 t/ {" S& i7 S. v
( i + 1)
: _% M& T5 ~( \& @. J5 c]$ {3 @3 f- r% Y9 X
let j 30 a) P5 K. ], G( ^ N0 ]4 J; P
let sum-money 0
. o. [5 ~( b) V* `( z' owhile[j < [trade-record-one-len] of myself]
# P. m' L( y1 m0 G[
* U' E: a; K8 y+ k& `7 l/ x$ o3 J8 Lset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)8 B) ]& u$ F k" }1 u
set j2 f2 b5 Q* |6 M' |
( j + 1)
& q8 V, i9 \% o. }3 r# n7 A) H]
N1 u. I8 C) e6 y- Klet k 3) z! v$ ?7 [+ [; e4 g3 ]* B! \
let power 0" e& r3 q+ f9 y, Y. c5 b# i1 l
let local 00 k) F; E% |8 _* L# d t& c6 N/ O% M
while [k <[trade-record-one-len] of myself]
5 V9 v6 N8 t5 |0 M[1 ^$ D* z- S3 U/ [* m5 h" 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)
" i. v* y$ t w/ X3 q8 C. z# uset k (k + 1); G. E! E3 l" B* v% Z3 I
]0 s7 O3 `- ~$ {4 v8 B
set [local-reputation] of myself (local)' F. m, O+ Y1 n& L* i4 O
end
& X2 H/ b: Y" C
% x+ @. [. U& zto update-neighbor-total
! s& M/ ]0 ~8 R
$ B, n- z9 B3 C& q7 Wif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]* {- E, k6 S _$ R* V; \' B
3 g! g) P1 x# C
, \, A. O) M# L$ D1 m7 f; t. Uend
" \' Y, Z9 t2 _8 [# R& J+ C" g" x) g/ o# c% a0 `
to update-credibility-ijl S' K. x' G* b
9 p* ]" T9 R1 d( P
;;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。- E# b1 S* s; U+ |9 a
let l 0
5 O8 t% s8 Z+ K0 E7 B; S0 zwhile[ l < people ]
7 H! x6 b Y: b4 Z8 Q4 l7 O;;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) ^7 n; a% v7 d) f! e9 h6 A+ |6 a
[
: e& d$ ]% x4 U0 plet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
4 {& S3 j9 h# i$ s5 g4 ^4 g+ T( \if (trade-record-one-j-l-len > 3)3 [0 j. \5 @! V; U
[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
& n8 r. N% g1 xlet i 3
7 m$ J; w- g! P1 Jlet sum-time 0# b: r& G1 D }
while[i < trade-record-one-len]! F' q. e3 @. c1 ^2 f$ p
[
7 d3 l5 g; X4 X3 ^' A9 E2 p7 Wset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
: i7 q. ?0 |3 x2 ^; t6 Y3 Uset i: K& M4 R; O2 n. D2 A2 l
( i + 1)
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9 ]4 E5 i( _/ _0 a3 @4 Plet credibility-i-j-l 0! }, h+ A( {( J1 Q7 U
;;i评价(j对jl的评价)" j) W: `! g5 k1 w" P9 d3 J
let j 3
! h5 P3 |# f! Y7 G7 h- {let k 4 i: g# ?3 \4 m3 B7 o0 d, w
while[j < trade-record-one-len] }! @: {$ n' E% ?1 Q0 z
[
5 L0 s* W( f' N, a, M! lwhile [((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: _; |' J* h3 `4 ~
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)' p: B# d/ H; Z$ Q1 V
set j
" h$ q" p: M8 \# d9 B5 N2 P( j + 1)1 z. I M" R0 K5 |* o+ _! \% F
]- Y' I( m' J+ Q; D; \$ ^
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 ))
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let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
! S+ `3 u \+ N! ~;;及时更新i对l的评价质量的评价
/ u! J& U6 i3 c+ S( i6 o3 \0 B! \7 tset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
! q6 a6 r9 F/ E" `6 m% {+ Iset l (l + 1)' i! R6 b4 T |9 s N# X
]: l; N1 w& K, O1 V! r
end
# O8 \9 @! ]3 p; W% x
5 m$ t L- Y6 ^$ l0 y/ wto update-credibility-list7 k. U3 O/ Z' ]' |9 I# R; O
let i 0& \3 M" ]0 Z) w7 K7 V" H
while[i < people]3 n4 \/ @! f- l0 n$ Y
[4 `7 Y7 w2 S2 s3 o+ w# u
let j 04 ~ C7 w$ c% a( z& l& O6 A4 M
let note 0& W9 s! [ c8 m- Y
let k 0
: W: J, @( v7 K/ C' h- R4 p;;计作出过评价的邻居节点的数目
$ ^5 O% f4 c/ F6 M( [while[j < people]
% g% o1 c$ e* |% a' k2 k& a[
' C0 _2 F Y" z: R* pif (item j( [credibility] of turtle (i + 1)) != -1)/ L' ^7 U. k4 C* _& m6 x3 {0 o
;;判断是否给本turtle的评价质量做出过评价的节点
* ^& W) R7 P8 x' N[set note (note + item j ([credibility]of turtle (i + 1)))4 z* ~( ?3 P2 u; l; t
;;*(exp (-(people - 2)))/(people - 2))]7 e& x; h3 ` z& ?
set k (k + 1)
- \' z; j9 j9 m- Z* D* C2 O4 f, D" k]
1 d( i& {0 X/ l# A5 X) E+ gset j (j + 1)
/ e; @# W9 t) Z8 S]8 e/ v. a( ^, c/ w# l$ y" |
set note (note *(exp (- (1 / k)))/ k)
) ^- l' w+ H4 G5 bset credibility-list (replace-item i credibility-list note)* u- Z/ J) I; c* ~# L5 s% M
set i (i + 1)
8 J' }8 O7 k, j1 o8 h) w0 D% V]1 r* S( [1 X5 D; P! e' z0 V! } W
end1 M7 v2 ~3 N5 d% \
2 ]# ?% z. c0 n: `
to update-global-reputation-list
& Q# c2 p: ~% x# L/ Klet j 0
8 Z# a/ ~' \1 D, l C# Z* xwhile[j < people]
' Q, v$ S2 a' u' f6 J. K- {[0 ~( [$ q n% H$ N0 l6 G
let new 02 w0 Q9 @. v) X4 m. t- i* b, c
;;暂存新的一个全局声誉. s7 q6 ]% S! H- }4 f0 \
let i 0+ V1 N# }0 f7 M {$ R- C
let sum-money 0! k) r x4 a4 T3 L9 E2 K
let credibility-money 0
! Q5 N" q2 u& u; b! A3 }4 Ewhile [i < people]
. I, Z" [% q) N" c9 V9 B) `[" ]1 ^' \; s1 q2 ~/ y% K
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))& U0 }$ f: p1 b
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))7 }( n1 u! Q, }6 j9 K
set i (i + 1)# ]3 S' G) V2 `: d5 A; R: S- R0 K
]) r+ i1 ?2 M) w1 K) H3 C9 E3 g
let k 0
3 j$ j1 n- ~9 O. c" k2 V7 wlet new1 0
) }* [3 F# }+ uwhile [k < people]' ~ F: W, ]7 M; u* G
[
5 Q8 `6 k( [# c. |" L. A6 A C6 jset 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)
9 t+ e' J1 K ]8 \7 Pset k (k + 1)
4 Q8 ]5 T% V6 S6 C]1 ^; I# \' i2 y% n( ^( P' S
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 9 x1 u& t/ _3 N# N$ U
set global-reputation-list (replace-item j global-reputation-list new)8 y! i3 h9 H0 ?/ y- G
set j (j + 1)
# q4 ]8 `5 u& y% g" |' g]
4 K& g& ^2 ]6 a, t2 Vend3 i9 d5 H; u6 `6 J
& |5 @& z& O( b9 L2 ]$ a: E
# c- B3 n) e+ m. G: f% ]$ B F9 `" |3 @$ u2 Z% ~
to get-color; j% V" i% v# r, }5 q7 C, c ]4 I
+ ~7 k& o" b Z5 \set color blue) R# B) ?: _, D- e( a( v# C) M4 N
end
: Z2 R$ w$ K# f: c O/ K
2 ?$ o4 d; l# w4 Y6 N- Zto poll-class
) K8 t, L( Y7 j0 I/ M; i% Yend9 [5 b R7 e7 r7 O3 [
5 _* ~ d, T: r" v F" jto setup-plot1; b4 x! _; O# M# y/ `' n
! o* T" W# S, T& A6 z- s9 f
set-current-plot "Trends-of-Local-reputation"6 u( y2 }! j4 Z/ ^* C: i* ~+ S
# k0 e1 [; n. U/ ^- ~
set-plot-x-range 0 xmax2 ?0 [2 K8 [! t6 j0 C
! t. R2 H( ~7 S2 p3 C
set-plot-y-range 0.0 ymax
4 i U5 s8 I. E; l! W+ qend5 C/ c2 d/ n# ^$ i" }. C, Q% F
8 y7 f+ C7 C" qto setup-plot2
; P: b. _! S# \5 @* f9 p( S6 F% r. c/ u; q' ~2 E
set-current-plot "Trends-of-global-reputation"
! f) h; s3 Q5 Z0 H |- Z" Z# W3 Z, r
& y. M7 q# b& o6 b9 G7 i; v- yset-plot-x-range 0 xmax
: }' [( O. i) Z" b0 V0 J5 Q
" Y3 J3 s8 A& `, O. W- @set-plot-y-range 0.0 ymax
( K8 j8 C. E) i$ k- o* r E: xend
, K9 j2 G$ S( k8 B
& {4 p7 ~9 Y) k& R& y) ^to setup-plot33 P W$ H) H8 W) |0 ^
1 z( _) R$ t: s" e" hset-current-plot "Trends-of-credibility"* _/ R0 ?) @9 u: M: |5 A( n$ [! b
' W* J! W6 X9 I0 O% w) |
set-plot-x-range 0 xmax8 p8 n- V# w1 t4 R) i! b1 J9 J
3 ?- ]- |0 s0 l4 y+ ?set-plot-y-range 0.0 ymax: s1 i& q# n/ X" p, f6 z
end
+ e- ?: L; L- S& q, X; {+ g3 r' G) A4 r
to do-plots0 n+ k9 p2 p& m
set-current-plot "Trends-of-Local-reputation"3 j% T' C: E! k4 t! e. G1 k
set-current-plot-pen "Honest service"
7 U5 q- \2 H6 x* Jend1 M! c5 U# W4 z5 X
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[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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