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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6 \* g& G! ~( k3 I# S
globals[- E1 u' g/ E" B& H& ^ L' m
xmax& V+ R; a' v: t& ?
ymax
$ h" u! l0 C9 ?, W4 M/ o0 oglobal-reputation-list3 G/ E3 U2 Y, C h' {
4 m' v) I# J9 W
;;每一个turtle的全局声誉都存在此LIST中
# X; U4 g/ o. r! E1 fcredibility-list( g" }6 r6 Y" m0 q
;;每一个turtle的评价可信度5 Y* A0 A& x# s* t0 W5 L" H
honest-service; u- m! L9 e" B
unhonest-service
" J/ n+ @3 E4 x" ~+ {2 e( eoscillation( Y$ K4 f+ \" M# p" l2 u
rand-dynamic
& \2 c$ `3 o% P8 y]# g( _0 T# {/ v! K w: p: Q* o2 C
5 {0 C1 H& Z" r7 t
turtles-own[6 P) j1 P+ a8 |
trade-record-all& O6 s; Y, Y: }8 S1 T
;;a list of lists,由trade-record-one组成7 N1 }' W" O- Q+ q' E
trade-record-one
+ C- n% P' s; N+ C/ J( A2 d;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
5 E4 g: p2 Z5 d1 w) c0 p, b# Q/ ^, D: l- T' a+ U; G% |8 D O6 S
;;[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]]
" ?2 ~7 |- E' \* M/ ?' W1 }8 Etrade-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]
# G- m* u$ o, Qcredibility-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' e& w& Y* `. T' H8 {) \
neighbor-total- `7 _3 z+ Z! F: q2 t7 }
;;记录该turtle的邻居节点的数目2 {9 p( D0 b) f5 b4 d3 P4 s$ Q
trade-time
: e8 c* e( V+ m) C5 @' s;;当前发生交易的turtle的交易时间
6 x9 u+ q+ `+ [) G! bappraise-give+ a$ s' L9 i: y5 |* R3 h1 c
;;当前发生交易时给出的评价1 ^+ j" J0 M* j4 c
appraise-receive
& ~) `- {$ p( z" I7 ^1 p;;当前发生交易时收到的评价4 p' a8 w+ j! i$ V" Q
appraise-time- n6 u L5 a [- k, x
;;当前发生交易时的评价时间' B. S1 u( l: T2 A1 I& ?
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
3 H9 g4 ^" @4 d% M u( H, n2 Y9 M( {trade-times-total9 {, C' ]7 J* [) x
;;与当前turtle的交易总次数
6 m5 t0 `" ^) C& vtrade-money-total+ t- `' t4 C; |0 T
;;与当前turtle的交易总金额
5 @' m# y8 T& j3 }5 M! I& O @local-reputation1 w/ @9 Z. F3 h+ g+ A
global-reputation
" M8 b3 l4 i; E# Ncredibility
. O* }& |- q! P4 X/ q# O& `;;评价可信度,每次交易后都需要更新0 d9 u: y, d8 i" `9 j5 C7 ^0 [4 o
credibility-all
, z! m, p+ A& h% p;;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 m7 Q4 W/ s# P3 q: }; r8 p* D/ ]/ c# Q1 n" m7 K- f8 @+ s
;;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
/ _, \& }. ~+ C0 Ncredibility-one2 r& z, ^; w4 ^3 r5 C6 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/ s% L% |! m" n
global-proportion
2 _# S: z- ~% I: Y$ k/ H) b2 ~; vcustomer( q) c2 s' T/ E- z' Z' P% i* u" l
customer-no" `" P4 v4 i. S& j, U
trust-ok
% n/ ?3 X1 Y, B' t# }trade-record-one-len;;trade-record-one的长度
/ d1 y; N/ k) C( []( O! X( \+ [/ f& j8 H4 K! V
3 U) X2 t# u: v4 _3 S4 Q- O/ M) e, ?. I
;;setup procedure% s7 I5 C. N/ _$ {/ W
+ }- E o$ u) l3 f4 F6 S9 x
to setup
! i, j9 D7 \* [5 f2 T |- J0 |
: y5 \8 g% M/ A1 V% |. \ca! j3 z+ T; G. O0 p9 K0 ^% w; [
& J. [6 L& x+ H3 |4 Iinitialize-settings: \5 h! g' Y2 L& y# ?
+ d% ]. m; a [
crt people [setup-turtles]! o0 i* f% Q7 S: G
' b- j4 _ `3 N' `6 G, w( m5 A
reset-timer
3 F4 h5 Y- j2 n" j+ S" O( t' D0 u, c
9 T7 ?3 ^3 k d+ o% Opoll-class+ M: v: M0 \& P6 I
7 o) V# b7 e* L* k2 Q
setup-plots& H* y5 z. n+ e* U
z* K2 i8 c9 Y2 N8 [2 Cdo-plots7 l2 p3 x7 y* j8 ]% m. S3 ^
end
" x6 N. }1 B0 U0 ^6 v
! Z( R7 \: Z* \4 j$ L& Zto initialize-settings; q( H6 @! ~' W& D5 {( c
, K4 C b: J, D C) [set global-reputation-list []
! D& h7 p9 y% ^/ f/ A, P3 A$ ^0 ^
8 k4 k. {( S2 P, h& k. I8 r1 g: Tset credibility-list n-values people [0.5]
2 W& l- o) C) W p+ x
# a; W/ F4 B# e! L& ^/ i0 ~set honest-service 0
6 @3 {$ J! v( T, \' Y! E
) |7 G/ W6 ~) kset unhonest-service 04 T$ l1 V5 _) j" Q
& J! W) l3 F; K' {
set oscillation 07 T u- a l& [# l+ k. d% r
9 c" C5 Z& p- f1 E$ ?* Y; rset rand-dynamic 0% Y0 t4 j( u* i; R
end
9 N* c* y2 l; l; p+ O
" o* `5 |6 E* |) m' Qto setup-turtles c6 u4 w% f4 C' X0 D% {: L
set shape "person"
& q* A0 I0 S6 O+ Osetxy random-xcor random-ycor: Y6 o1 |% z6 `2 A
set trade-record-one []' G$ A) c# U" Q6 _0 _* k
2 I! X3 F% O% y/ j
set trade-record-all n-values people [(list (? + 1) 0 0)] ! U x' j L- V y* Q7 G
$ D6 ]8 w5 H( C: T$ N" M
set trade-record-current []& J3 V' \$ j/ |) g* R& D6 Z' W
set credibility-receive []% `" |! C( H2 i3 g8 g4 E
set local-reputation 0.5( _" @! I1 q' i3 M
set neighbor-total 0
) X$ _2 ^ F! i( s$ Fset trade-times-total 0
) r& r+ S8 G E( W1 kset trade-money-total 0, }4 P. K H9 C: F: u
set customer nobody# U4 s/ N. n+ i6 S
set credibility-all n-values people [creat-credibility]
# i) S& L/ B7 g6 O1 m. K& oset credibility n-values people [-1]
" t( i/ q- C5 [get-color9 q' _3 H' {( j, N, ?
! h, S( l' r8 U' l z# m8 H' y
end
( P3 t0 v' a8 _! O0 h
5 Y$ f$ f: T: h$ M# Gto-report creat-credibility
: v! P( @' H' i. x( }# y" B/ ]report n-values people [0.5]
- W9 I% v2 Z9 T# ~4 Gend
* m: i6 ~# `$ G
# {* r" E, m1 U, R5 j7 e! D% Tto setup-plots$ _' d7 w& c/ Z! i- Z$ _3 X! r& _
0 G! F [& r! d ]set xmax 30( q6 E( i) Y) l* U3 i! S
' s- B) u% P. H& Lset ymax 1.0
]* Z: Q4 w h; n) p L3 B; f; R; C/ H& D( {! n
clear-all-plots& E2 T2 L& s) F F+ t7 x* }1 \( l" y% K
( x) `# s% ?6 z `9 _8 w( }" G
setup-plot1
7 R2 k% t6 k( K) d, O/ ]- V: `+ ?2 ?6 M5 p( N. p4 r
setup-plot2
. e8 q' A2 a( X$ e$ P! j9 T" n6 |8 [+ G% X) L5 y2 D! W) k+ L# L# }" n
setup-plot34 B: p' L, Z7 Y- s/ r$ h
end. t) N& o; k* B' h9 B6 p
: _: Z+ }+ h! M;;run time procedures
5 x( F( a9 N) Z) d8 z. V& }6 U: E
0 n/ s! n7 V- i7 S$ D; pto go5 m" r" U1 N5 |4 E
/ \( h% t6 J& l* C0 a
ask turtles [do-business]
# \3 a4 c6 p" q+ U2 r1 p% `end
8 \3 W" P0 o$ v D9 G, y' {# N
; v, [6 {( o1 p& b% L! Eto do-business ' q+ h0 u* s6 c w4 I" Q6 [. c
- t. h3 @, a2 n r. N5 M+ X- y Y- c A1 p
rt random 360/ K, ]$ [3 j: m; r
% @3 } ?/ c" G- t6 jfd 15 I1 B4 f- K3 \, k
8 X' p8 P/ D% p( Y) pifelse(other turtles-here != nobody)[4 W$ T3 o, |! v* w
' y+ f2 c+ r, d, g# Aset customer one-of other turtles-here
# a& h7 |1 W% I9 \
% Z& u( C" r! {' S;; set [customer] of customer myself
) a- W- r" W6 y- k: e' g; n+ S% M8 o1 ]
set [trade-record-one] of self item (([who] of customer) - 1)8 ?* `8 _1 @2 f2 C
[trade-record-all]of self0 E0 Q' V: {. U& c: m% z
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
. j/ Q) r% [6 J
, w8 ]( ~# U4 R6 e' I, n% bset [trade-record-one] of customer item (([who] of self) - 1), T r' A, B! F; Q
[trade-record-all]of customer
2 T! U# e% {. z: k8 X# l6 ^ v Q C. h
set [trade-record-one-len] of self length [trade-record-one] of self
- c, U/ ~$ s2 z a3 D2 p( p
) r' U1 A0 @' r5 z1 y Wset trade-record-current( list (timer) (random money-upper-limit))+ |" O2 j1 j+ c5 u
3 C7 o6 [5 ?+ q q( n1 K) c/ s+ T0 yask self [do-trust]
7 z3 q% {8 b1 ]1 w0 E;;先求i对j的信任度
6 e: r8 P' }* i
! A1 W7 a/ B$ ~. I/ l4 {if ([trust-ok] of self)
: K& m2 C7 z m4 T5 V" T;;根据i对j的信任度来决定是否与j进行交易[- x V/ y U% J \) M& y& w
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself9 N) {% P& }/ Y/ K
# L' U" q1 v+ H; a; o
[
* Q4 T) \. P% g7 d' N; s* E5 z I* s* q7 [% z$ S/ K5 U$ ]
do-trade
: X' \6 T3 |; O" h% P( i- W( e- [. R5 j8 }8 f$ X
update-credibility-ijl
- V) ?2 n7 _. ~% T
5 i, e( N" m! A$ ^2 X# o' _update-credibility-list
# G' o( I. t; \+ ~/ c! G% H* L" D1 V* _) u5 e6 I& O
" g5 O$ {6 \" h3 ~) f/ @
update-global-reputation-list, c) k9 c& q$ M7 T
4 E% G' O$ U- Q1 b
poll-class
; H# Q5 i5 \% M7 E: j/ Q
* ?2 r3 s. n6 u, [- a7 x4 m. F$ Gget-color! f- N: t9 w4 ]8 o8 B( W2 L
( B: ^+ @2 L/ E: {' l5 v5 n
]]9 h, C+ S H* f* s# e* e1 [
( _8 [. f8 O, n. z3 E% l;;如果所得的信任度满足条件,则进行交易
8 g C9 F3 s; p7 U8 C+ k! v) q
# j1 b9 R* P0 M8 i[8 i$ j) R) q0 O- Y3 K2 I% g5 j
) w3 J9 i% P& C- qrt random 360, O7 I* |, k5 _3 f) i: `$ N( p
8 g) X! R, D; c3 Q% r* O4 [" C
fd 1. c6 a# t, ?+ m1 n3 o* t5 {
$ ~9 I h9 @, T1 J* k( W
]: M9 o# T! I4 T9 P/ m
' I1 f/ c) \5 r, P8 [5 }1 gend
& o( [" j" }1 P O4 S% L9 |( r) L( t
to do-trust . D$ c3 x, H" E1 q
set trust-ok False
7 D3 ?' l! ]; |: t8 X
; i6 h. f2 E! P2 |
" V, o, q6 ]. qlet max-trade-times 0
8 e5 ]2 K& @. [$ I' B- Cforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]7 L6 `7 S7 C9 Y( k- p4 o9 p: Z
let max-trade-money 0. [+ Y( M6 H8 j1 w
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]: K: a% }. ]- y5 x& N/ T5 E
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))- ?5 h7 F8 x- e! H: D9 P
; w4 Q0 l2 S) u4 d, X
@4 V. S# o6 X' kget-global-proportion1 Q' F5 W. h! T6 B D$ ?% m% T3 |
let trust-value! V1 E2 j. O2 h* s! Q4 S" U
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)9 {3 [ V3 U* [: p, C
if(trust-value > trade-trust-value)
8 {) p& }# n' X& [4 ^$ R0 B% r+ `[set trust-ok true]$ d! I. S5 y+ o/ |) b* d2 ]
end# m2 ]& @( v" P8 L6 o
3 k: }4 A9 {3 f0 C
to get-global-proportion6 _2 {! l+ x: l' f
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3), Y( P/ d7 H1 e) L: \
[set global-proportion 0]
' G% j3 ^/ V7 B) b[let i 08 W( I0 ]9 {7 s: A
let sum-money 0
+ z+ B1 [& M2 Q1 wwhile[ i < people]
; N$ v {' r- F, e0 Z[
% S& E7 u# D( T. \if( length (item i* L1 Z8 f1 W8 w- c
[trade-record-all] of customer) > 3 )( n. L0 q' R' V& r1 s) |6 u
[
; I% l: r. }, c* D& tset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
# }6 ? _. [2 y! ]6 c% d% z' \! ^]
/ b: o+ s* a( H6 D]8 x9 E1 t8 s9 g5 L# E4 R, S" ]
let j 0. c, ^2 z0 B& a) A1 i" ]
let note 0- W+ i. Y/ x: _4 s+ d4 q+ y
while[ j < people]$ } L; _. U/ L7 A( l m9 U2 c
[
1 `; O- l- x" k6 Y. _if( length (item i) Q: p* E3 R1 R# d3 h: Q: [
[trade-record-all] of customer) > 3 )! X) L* _/ n* u: H* n
[' X' U5 @% T& P8 W# c) T
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
$ k/ J6 [( U2 V1 M1 r8 }[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
. _$ g% s) t7 H$ [/ C9 Y$ r[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]+ }& X; t3 `* W7 O
]2 R& f; z% i/ b! {* n8 D
]
0 p; j N6 Q! a3 o. C" c- cset global-proportion note
6 I0 D2 z4 |& p6 }2 b/ K9 |) P! b] [" t0 D2 S* E4 G( G |( _
end
( K9 _0 k) p0 U) U# J& \4 b) I8 c9 W0 r
to do-trade9 P6 p! r7 n. ^: m1 t
;;这个过程实际上是给双方作出评价的过程' [+ L j' Y# V3 S: k8 X z
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价8 x' @0 I9 a. t0 k# y# [ \. A# U) b
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
0 @0 T3 _6 E4 L3 {5 Aset trade-record-current lput(timer) trade-record-current
& i; t9 j$ I' N, N1 v! l* G;;评价时间
$ n4 ^: V* e! A$ |ask myself [3 ^- w9 D ?, _2 k! z4 U' K, B
update-local-reputation
) q; @4 I% ?% U: O, e2 S3 t) }4 pset trade-record-current lput([local-reputation] of myself) trade-record-current- \! E& w1 J9 l# {
]2 v1 _/ I- G$ [- x! U
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
: [. w3 r% l4 u) N1 d;;将此次交易的记录加入到trade-record-one中3 x4 D$ D9 H3 w9 e; p
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)& r1 \# D0 H: t, W
let note (item 2 trade-record-current )
6 P0 s6 N$ i$ Q5 ^set trade-record-current y% F, r# d7 O$ h8 j" O, v
(replace-item 2 trade-record-current (item 3 trade-record-current))
: k# C+ b/ x( V# ~1 |set trade-record-current! }- l5 C4 t% X/ ^" o
(replace-item 3 trade-record-current note)
2 L2 U- j4 w5 o9 d( p2 t) U4 v3 ~
R1 Y. F3 C- Z, G7 S
ask customer [* R4 p5 I9 @) P" I% L
update-local-reputation
' X0 c: @6 |' \) ~4 Q# Q* B, |set trade-record-current
- l# z3 ~# f3 w. W7 F; ?" N/ Z: V(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
: }9 o5 ~; [$ z" u2 i: `# o0 a]
) Z& X7 f( p J- b; D9 X) x" c% i+ T# L
# L% G! a0 i' ?" p8 Mset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
; V. Y2 w, P# p1 k, ~( W# K% r8 x- ?/ S! u
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))5 W0 J7 R- H+ [
;;将此次交易的记录加入到customer的trade-record-all中
5 N3 ~9 j M4 mend1 a9 Y1 `" y" }$ f$ l0 `4 q
8 k( G$ D+ u0 K: i8 [ X- V
to update-local-reputation9 P( E% E# Q2 X" K: E
set [trade-record-one-len] of myself length [trade-record-one] of myself- W2 E: L, ^5 ?$ S# f
7 a* }% k8 O5 ]
% `9 n3 D, c) y;;if [trade-record-one-len] of myself > 3 : j9 ]8 m6 G3 L: H% N" ~ j- x7 D
update-neighbor-total
9 T- d# P1 @; D/ k9 }) \;;更新邻居节点的数目,在此进行
9 T5 B0 f1 V7 Y) I+ q1 G' Q3 j* ulet i 3
( h$ r$ j* i6 Z; Nlet sum-time 0* ^3 ]6 w! f/ P; @3 ]+ o: D
while[i < [trade-record-one-len] of myself]5 J3 A" b5 w. Y) @/ X
[ l8 |/ @4 G+ p! q! A6 o
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
. R8 U( }+ i. K* Eset i% D) K6 B$ A- V+ v9 C0 D6 t+ W
( i + 1)- m% A7 l5 S$ d7 d
]
* L R$ Y' ^1 s& h8 m; Mlet j 36 c8 L$ }: r; O1 F
let sum-money 0- w9 |' E7 v6 h! r7 {4 p) y+ @
while[j < [trade-record-one-len] of myself]
3 D( B0 S) O7 d[
8 U; e; D5 F, ^/ K3 S$ wset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
" q) F- J/ s! d+ I/ oset j- Z u: [7 @; {, v/ ]# |4 [
( j + 1)
+ C& S" Y- P# R& k]0 ?' b& z' l8 m4 l
let k 3
" `2 Q4 ? H$ I; R. Hlet power 0
/ e6 H* J9 E: Y$ Y B6 U' |% G$ @let local 0) z6 E) j8 w/ _* F7 }
while [k <[trade-record-one-len] of myself]1 I8 ~& P% T! J! t, f
[
; h" |, _5 ~5 mset 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)
/ ^) J% M4 o3 j. | Q/ ?set k (k + 1)( j3 D! d8 C) O3 ^, w( Z2 O5 j
]
( j- @+ D' h; R9 O9 p4 `set [local-reputation] of myself (local)+ E* Y7 g$ i$ `; t5 Y
end( i, n8 B: s( S- j2 ?3 T/ o
9 T* w% |0 t4 T2 Z; @$ {8 B; Rto update-neighbor-total
0 I8 b# Q+ K' c$ w h6 t4 G0 W" c1 M. M/ D4 _! n0 F
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]: q( A( M7 t& [; D: z
4 ^6 {/ F4 h8 J$ |
. {/ U7 H9 Q- W+ t+ wend+ `9 P! ]! D( Y4 @8 A
- b; @4 e5 c2 x8 s9 xto update-credibility-ijl / T& I0 {$ m7 a
) E, i& T& t) F |9 T9 k;;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。/ h R1 }' G) u; C7 d/ _8 w
let l 0
' q1 l% ^! K' r& Q/ Pwhile[ l < people ]. Q8 @! C; W4 |( c4 b
;;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
# u: c2 e8 X1 C[
( M. g% A/ |9 E7 R Qlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)8 ?- N" I$ g3 P" J3 q
if (trade-record-one-j-l-len > 3): y/ O- [. T E5 z: y& f. V
[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
# p( ]3 `& k; _+ c3 alet i 3- ~- ]) b4 b; @+ U. ~ C
let sum-time 0
4 m0 g0 o; j/ S5 a6 [while[i < trade-record-one-len]
3 h' Q% x5 g( {: |. o p[
. T/ V) L" o4 g7 g) ]set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )5 H4 \8 `( p9 @# X) b" ^0 n! ~
set i$ _, N! g. K+ k% p( [' |
( i + 1)
0 p8 B# H. \ I) x9 n* ^9 `]
; J- j" x% V' q6 alet credibility-i-j-l 0
- m; D1 t& K/ n' w8 q$ T;;i评价(j对jl的评价)
0 n- f8 P' q+ E8 klet j 32 w" H* B$ Y/ W4 h( F
let k 4 n) M, |0 s( K x. C
while[j < trade-record-one-len]
* [; k, e0 G4 f/ `2 x[2 x2 m8 o% ~) L& U J( d) o. t! h
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. W# z( N. X; P; y. H# A
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). G2 v; \! q& X# E
set j0 |5 L5 ]4 h5 U+ o, S" A
( j + 1)
G- [$ r# f) v]
. A; r+ ]! }/ v4 p2 _+ q: f) t: qset [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 ))
4 v1 c$ V+ Z6 v; d8 U* O! Y; f0 U l/ g: l* X4 C- O: N3 p" w1 [/ U
- {' Z! _5 Y+ ?" C. Plet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
3 h1 v: f% C: [3 A; A) ~* T;;及时更新i对l的评价质量的评价) Z: a9 X8 M% r; \8 A# l
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ], x2 Z5 W3 y6 C K, I2 g
set l (l + 1)3 l8 v5 q" H" l* z& w4 ?
]
+ h" K' A* H @3 l( P: rend
0 j0 x% J X$ E) ], g) c( K+ A' E% i
, _& K9 N6 l0 H! g7 M( bto update-credibility-list
# R# t( r# |5 Y8 Jlet i 0, L, o& Q9 x2 T1 V
while[i < people]
4 S0 v9 k3 | c J$ ^% d! S[
2 S) k! u4 O" X% a* J7 r0 @% y6 P* Y* slet j 0- m3 s: O: Y/ Z0 q( w4 b2 r2 z
let note 0
- I3 s8 G6 K) \0 A# flet k 0
+ w. p( i9 ?+ B6 D;;计作出过评价的邻居节点的数目
1 `1 A4 l a$ v$ D# G- B; I2 Cwhile[j < people]4 K9 z1 u& ?1 T0 `' u
[6 ]! @% J& y, E3 r0 d4 l& P; ^ f
if (item j( [credibility] of turtle (i + 1)) != -1)0 [. g& P) L: |
;;判断是否给本turtle的评价质量做出过评价的节点- p R- ~4 `9 z& m
[set note (note + item j ([credibility]of turtle (i + 1)))
& T; X- g7 z! x) u& ?8 \9 V;;*(exp (-(people - 2)))/(people - 2))]4 V5 S# c$ K6 }; Z7 ^: g
set k (k + 1)
) }& s+ ~4 n* h5 b% A3 x. P+ p]9 ~& n4 m8 |% ]. W
set j (j + 1)
: }9 y% e) K6 h. x]$ Y& K2 L' g' \7 @
set note (note *(exp (- (1 / k)))/ k)
) O5 V5 P( B9 g2 jset credibility-list (replace-item i credibility-list note)
+ B. m! d7 D( ]7 vset i (i + 1)
( B! G# j8 `: C' Z, Y, {# i] @, K. l6 k, ]: l+ ]7 b5 P- ]% f7 e
end3 o: Q, g8 M9 }+ v: n' l
$ s# |% b5 Z9 y8 { ~$ ~to update-global-reputation-list
1 ] w# y. p6 S$ `* n9 Hlet j 0# l& S- E* L. F, W5 `
while[j < people]
7 H: l" H; U- u* M+ v' S[
P4 y( x0 g4 \1 K7 clet new 0, @/ t* f6 P! q: O# x
;;暂存新的一个全局声誉
- i1 k$ r; [! U) Dlet i 08 M. X. e4 f+ z7 a: c
let sum-money 0% A4 N$ c" Z( @8 M
let credibility-money 0. _* |% ^5 p0 W( p
while [i < people]
; R' H% e" y- L& ? o[
- ^2 P. n3 ?( n1 G' dset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))4 ~( }- ^. |. W) y
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
. P1 L% K* j( M8 p* w+ ~; [. Bset i (i + 1)
8 [' L9 f" a" M$ |/ Q. u4 t3 B9 s]
! b! ?0 J" e' c. {* tlet k 09 j' \- e. `7 }, N& w9 Y1 h5 f' r
let new1 01 E2 ]' h! Q+ C2 s4 t
while [k < people], |; T& Z* D1 ]1 ?6 d
[% f4 f2 n/ f K D; m' l8 x
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)% H' B' b6 t/ q% u% f) n
set k (k + 1)
{" Z# E& o/ F! o E) C; ~) b]
- R/ ]. j2 } A# T: D$ jset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 5 H2 _' r' v5 L$ [7 P) _6 S! ]! K
set global-reputation-list (replace-item j global-reputation-list new)
) H O) P. O2 X2 O' B7 iset j (j + 1): S. v/ p9 Q/ r+ k! {- P
]( z) l7 o2 o8 R8 z
end4 J8 c# n- ]3 G/ l
" o' f1 S/ @8 V$ L/ ?
! f D# O0 W& y/ T
) f4 ?4 f5 m1 A6 ?/ b% y. c: kto get-color
5 l- g. ?0 I+ K5 g# x) C5 R
/ r9 X% f* w: j4 j7 Cset color blue, ? s& [8 \+ _$ R+ k" w
end- q* p9 O) G% O; Q! x, V4 E8 r6 g
5 }6 Y( U3 n" z I
to poll-class
& d I" _, c8 I% [! mend. I: C9 A0 `1 z3 x3 S( I, U
. b9 G* I7 U3 ^5 q; n4 Q1 w
to setup-plot1
' S9 m9 y2 _- A: F) y% ~/ b2 u; m) y% m0 m* H9 x! g
set-current-plot "Trends-of-Local-reputation"2 i* Q$ o/ B; u& `7 M) l4 Y* C
7 Z: R& f/ J1 s
set-plot-x-range 0 xmax0 L! I' m8 f4 ]$ {/ q
# ^' a& R& E- r) U
set-plot-y-range 0.0 ymax' K C# v$ l' n) Y o% K9 T) [
end
) n* A$ i/ x3 w% Z
4 j/ H1 R- Z1 m* f+ Fto setup-plot2. F# _7 ^$ D' r+ F' Y4 |
& P% W3 x" P7 h( f# [$ lset-current-plot "Trends-of-global-reputation"
# k; D3 j- B, M9 X* X6 A7 e) |! [& g* P7 o
set-plot-x-range 0 xmax( N# t! ]7 ]5 o1 ^2 l. q9 u; I
* S- R0 e. \) I
set-plot-y-range 0.0 ymax
4 u4 c( M1 ?$ L8 Lend# |( F, X9 N: F' k- A0 C
. e7 ~+ b$ l' j) @2 ito setup-plot3# s& m' a* h; A5 A, g0 J8 s
) l7 F D+ n A0 I7 h6 vset-current-plot "Trends-of-credibility"
|; `' a+ r$ e! A
+ ~( | B) j. c$ w: p! kset-plot-x-range 0 xmax
6 V/ J) `9 J, h" r
* j/ [, d: X1 A5 rset-plot-y-range 0.0 ymax, G2 r% Y3 S" C. ]1 Z( b
end/ E9 ^% O/ j8 D; @* h
( L- p1 v8 G& h3 v* yto do-plots
+ ? U9 C' \. m7 i( C; Wset-current-plot "Trends-of-Local-reputation"1 I% p8 d+ |, t
set-current-plot-pen "Honest service"# @1 x" u* C1 d9 W: r
end4 L5 z. f/ X3 @- G% H+ Q
+ ~& c% T! s: h- _ p4 y[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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