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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
" R" B4 f4 e# l5 d4 B' }globals[0 j& f; i2 T7 k+ u* u |% @
xmax0 P3 a: ~) Y8 j& ?
ymax' p: d* a3 B+ t1 q1 l- J, p
global-reputation-list
# L$ ^, i3 w( M u% \5 B: ]( S. H( a
;;每一个turtle的全局声誉都存在此LIST中
7 o% u. Q+ K* R; @" @credibility-list& d, S2 u) `" ~+ q6 H7 M7 P/ k5 M
;;每一个turtle的评价可信度1 i; n0 K- q) b3 I! X. L+ L1 P
honest-service
, _9 P4 Z0 O8 }6 \6 [4 uunhonest-service
* D8 |, y# h, N( I( W2 Yoscillation3 p2 B( B, T6 y q
rand-dynamic
, r3 v8 M! }& b% e9 R- B]/ p, W- {7 V6 g c7 R% N
. [9 Z, O0 L, I9 }& E
turtles-own[8 ?- N! z; Z* L3 M
trade-record-all8 I% s# r7 H7 X$ K
;;a list of lists,由trade-record-one组成: U$ P1 i9 L' ?( T* x2 u
trade-record-one# V( f7 E2 a/ c& Y6 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- x2 @- V( B3 ~+ S( Z# j- q7 j
4 ~" u+ ~' |6 K }) u4 `9 Q) ];;[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]]
% k/ h9 [$ l+ n, p) B+ 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]
2 r5 T% Q. j' Acredibility-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
) w' C( T4 v5 Z8 `neighbor-total& n0 W& i, z$ h U- q' c2 a/ H0 E6 X; q
;;记录该turtle的邻居节点的数目# G1 g* V1 ?" f9 m% y
trade-time2 w: [" d- R7 a d: W
;;当前发生交易的turtle的交易时间0 s: @ J l6 u4 U9 o
appraise-give
) E5 L F* D+ S1 g;;当前发生交易时给出的评价3 ~" i! ]+ F! O2 H
appraise-receive
8 Q, p Y& [1 J+ i3 b- D' J;;当前发生交易时收到的评价
! U2 s; M/ c( I! jappraise-time
5 \3 `, U8 Y" g3 ^;;当前发生交易时的评价时间
, L% a) }' D5 Q' ?$ T6 xlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉7 E6 e9 U" |; G" C! D4 c6 g
trade-times-total
( j+ w6 u1 r. g$ e5 i& P% N& T;;与当前turtle的交易总次数
) x) M. S; ~" V% `) Z" h/ ^trade-money-total
! E( E2 @. f$ r4 {5 l4 ?3 q6 H;;与当前turtle的交易总金额
# _! T% n f0 S6 G5 K1 q9 _local-reputation4 p; V) S" h; H
global-reputation% X: B/ q- ]1 D$ g8 d N
credibility/ [8 Q6 d& j8 ^
;;评价可信度,每次交易后都需要更新% q8 H+ Q8 c3 D! _2 T d/ ^
credibility-all
6 J, m2 ~+ A2 x' j& H( u;;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
% n4 `- B2 w% m, p/ U# b
% C! I* e) T, M;;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! W8 e+ n# m% o; R, v3 Z
credibility-one
$ a+ ^& Y: h$ d2 s: R! M;;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
6 s B! H2 G8 A: J9 A8 Z( J, @global-proportion
8 t0 Q( l% \$ ^1 x# Y% j6 z' u/ Ecustomer) I8 p2 V; m) R$ h0 c8 z1 [
customer-no, a, E1 ?2 j7 t/ P/ L' t
trust-ok, G+ V7 ~/ J8 F
trade-record-one-len;;trade-record-one的长度
1 \6 d7 j0 `& Z2 W]
% f7 A3 ?+ p$ s( V# O3 i X0 D4 I2 L$ @
;;setup procedure
7 x# f" ~% A$ `- C) \0 E9 e- {' L0 Z# _
to setup+ `3 p' D4 O2 a3 e i' S
0 [8 [. ]& [2 I! l9 d& m o, k: dca
2 q( V/ @ N2 u! p% N; V1 v; v$ Q1 V' L
initialize-settings! h0 u% b; g; [6 {. ~
1 R. @5 F6 _! @0 k+ o% V6 h. c ucrt people [setup-turtles]
: ^ I6 \( J' s" F3 k- k# A/ s# o( h$ `
reset-timer5 k% T$ Q! _ \1 A0 P2 f9 @
) C" u- s/ @* t) }! ]poll-class* |) w% {; g }
, {, ^& J7 D9 I1 psetup-plots; P$ p( j" u$ B/ g/ l" k- e
' K' X/ q8 Q* S2 O% hdo-plots
. L: C: f. `( v3 Z! b% T7 i5 _end% x/ n/ K7 H4 o- o
u4 O' Q( M0 w, G: a
to initialize-settings
p- `: c# r/ b& e9 \: I4 a
3 J+ K2 l* b7 |! e# B4 O# H, d mset global-reputation-list []
8 O5 R7 w. g; b8 {/ l& @: B0 g
set credibility-list n-values people [0.5]0 A3 s9 P* F2 h2 g
: g! _, ?: p! X0 k" k( Oset honest-service 0: e S8 A4 A" G7 w! c5 b
4 \6 h4 k! y3 aset unhonest-service 0, E V( c/ V+ l
- b& ` H) _( @3 o% O
set oscillation 03 X( x! K# r# ~5 M* f* g
, r# H, ?/ f/ Y/ X6 B
set rand-dynamic 0. x* k! D9 Y. u, M
end0 z# F% d0 S1 x: B
" I6 i3 ~0 V2 u! xto setup-turtles ' o. d4 Q6 B0 g0 U7 G! [- u
set shape "person"6 n, v3 L. I5 Y: G
setxy random-xcor random-ycor
- ?0 C$ a/ R3 ?0 _! y; }% K1 K/ q) Wset trade-record-one []
8 ~% \: H8 {% P! p# U
7 e4 c) t) z1 f* m( ^set trade-record-all n-values people [(list (? + 1) 0 0)] " P5 m1 K2 T# G, N6 J- ]" c
. k- j" u2 @9 @) S
set trade-record-current []6 ^! x' q9 \/ U: h7 N" Z4 d5 x
set credibility-receive []
6 p: \3 Y7 H/ {7 Nset local-reputation 0.5+ i9 M0 w' s D9 N$ ?9 U
set neighbor-total 0
. ]% \" B9 O7 d3 c+ k& s% t) fset trade-times-total 0# u5 q7 ^3 ~9 M7 [8 D Z( Q7 G0 `4 [6 |
set trade-money-total 0
3 d2 M/ U7 I) P" H3 u# j q! G( Zset customer nobody
2 q {* n8 j1 G( eset credibility-all n-values people [creat-credibility]5 z& `" m, [ l
set credibility n-values people [-1]/ u3 b N3 B4 C
get-color k/ ]0 p5 H4 s1 K9 K/ K8 x3 o
. N$ M" Q- _/ e1 }end) ^5 M6 g' d: e. n# d3 L
# |& Z) E- n" G. q4 @- qto-report creat-credibility1 I( | N$ t: R( ~ A5 u
report n-values people [0.5]
: {' b c6 g! S4 `end
- a" {5 \6 K3 F* R8 L: }+ G7 ?2 X: u0 Y r+ U7 Y" F+ m2 M/ g
to setup-plots& q+ [* n+ w1 S/ b
' j* B0 X, X8 n. m( sset xmax 30% G0 `$ W$ O. ~/ W4 f
# G$ Z% |" l( {# J8 j* P/ u
set ymax 1.0
! {- c3 P# ?4 h0 u. r! z
! |% A# j; e* S; z2 E2 tclear-all-plots
: W& ?, |$ I. [1 h3 Z
8 f& P1 p# |! z4 l3 `7 A' Q9 gsetup-plot1
+ b. V1 c! A3 L' R6 Z0 A9 n7 Z8 _0 p' M% y+ f8 Y6 F
setup-plot2' M+ |3 z1 {8 c# {5 q
; p9 u7 z: b4 g' n% W, K; B5 lsetup-plot32 \' \, A* K4 b0 z6 x; G
end
* Q7 ~! w6 r- E; G2 C2 ]4 |. K; K& r- @8 l8 c5 Q
;;run time procedures0 s. o+ f- ~1 U' q) h
$ M+ B) H% \9 K" i6 Hto go
7 Y5 s3 j: o( C1 o) |
# r3 s6 R& S6 Z& b9 Oask turtles [do-business]/ K, t ^( K5 k. d
end5 h- E E' f) E( r! \2 |
1 r5 [6 x; w' ^( t0 ` ]
to do-business 6 e+ h7 g/ K k5 I/ P* o/ w) e/ l
6 n: e% P& ^' h' N8 a
9 z0 F. G, Z7 {# O4 s! ~* \3 zrt random 360( p8 g4 E$ `% D/ V/ T4 S/ t% E9 Z& L
9 W7 s o9 y: U9 ?; p
fd 1! ?. m# l2 j+ i* H% n& [
" E( Z) K3 ?% y. Y4 u/ cifelse(other turtles-here != nobody)[
6 g; n' \+ H! `/ f5 c! _7 T9 f$ m) H
; O9 J6 K2 [/ M% v( e7 W0 R/ Iset customer one-of other turtles-here
( f, y3 [, y% @ S+ j) k
7 D$ w0 ^4 h T' c6 P;; set [customer] of customer myself# A% k$ [% {6 h4 p% p% O& h! A
9 K1 B. G2 B0 g+ m
set [trade-record-one] of self item (([who] of customer) - 1)
' W U/ p& S& t# q& ^4 X, H# `[trade-record-all]of self* X. }* O- _6 o) E
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self' Y, b0 W" v3 q7 N7 p8 [& N+ f
! _, T3 @# u) a" a# `# }set [trade-record-one] of customer item (([who] of self) - 1)
% |- v' C- v$ e2 P& g, r8 H[trade-record-all]of customer
9 k% x" X3 Q/ v2 e
/ Q0 q- W. Y* A( Sset [trade-record-one-len] of self length [trade-record-one] of self$ Z$ H" p' m1 e4 G$ t, Y+ C
y' }' g& A6 t% j- O
set trade-record-current( list (timer) (random money-upper-limit)) Z" d' p. J' Y6 x6 I; ^6 V+ L& q
/ G1 v' t: q2 x R. G8 yask self [do-trust]0 Q; w' H' b: o% M! O0 e/ C: o. m1 s9 F
;;先求i对j的信任度
8 M, I: u5 m, @2 u
7 s* U. [1 n/ O9 }& V tif ([trust-ok] of self)( V ^& e7 ]/ ]4 L
;;根据i对j的信任度来决定是否与j进行交易[
o5 m- a( x# G, Rask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself% i( G6 m+ L7 g6 D
. ~, |9 x. r# p& U8 x4 [
[
0 y M! l( P. E$ v* j3 ~* |" h7 `4 G
do-trade+ S9 }- b: \6 X* Q! j0 I8 ?
- n# b! c8 d, A; x. V
update-credibility-ijl
0 t0 `# n9 Q; P3 f. F
8 {, z- e2 k4 L$ W4 t& w) n8 u( ]5 R- fupdate-credibility-list
/ N" G3 r. \) w+ j( j% ~( r% d4 a" e( h/ d
! k/ z. ?; \/ Gupdate-global-reputation-list
% z( F% q4 S! E9 |6 M! e5 m. H) j* t- e/ u. F* Q
poll-class( V" R' u8 H7 H+ ~' \0 W
1 R& I4 w$ M3 D1 b
get-color9 g5 u! H/ n) H7 ~7 W& C
+ P6 y; X; Y6 C6 L- F1 c8 J5 h3 J
]]* ~! z; E* F4 e& Y6 u
. L) h5 N% m2 }4 j;;如果所得的信任度满足条件,则进行交易. r6 S A( u9 [
: m; r- O0 j# |$ I
[! Q5 P# y7 H u, `4 X
& |, c( W% I) n! J1 y, z
rt random 360
8 o j4 i5 p- |1 ^: t
" Z4 V8 u# _" S0 h: F, R4 Wfd 10 p3 i% m% k, Y! L+ t2 \
+ |: `! V7 ~7 y$ d) [
]
3 Q7 r% g2 x' A4 p" \% k+ F0 S8 D" Z4 Z8 }! V, u; ]$ `7 V
end! F. @9 j$ }) A3 O# _+ ?2 h7 {
8 g! n$ B: e/ G0 o4 W8 C7 Xto do-trust
9 w8 g& M+ u8 _6 Q7 ^' g) Z/ a6 Bset trust-ok False
, b. P2 K5 D( k6 ~ k: W9 j9 w; H+ J0 w3 ? ]9 X
) A% ]$ }3 K Klet max-trade-times 03 W' V( f% i2 o# Q9 n: f1 O
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
5 A' f" r$ g; X/ S9 Flet max-trade-money 0
) P, J3 ^# b$ L, l! G$ M0 eforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
# C5 h# e* H/ P6 V' N! slet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
- u: U0 t0 [9 B7 P/ M4 G! F. `; I# F5 e& @) X5 ?6 f4 i6 H
! o1 d/ T$ _, S/ ^ r1 N2 ^$ T1 mget-global-proportion+ N3 C8 j* ?! U5 ^7 M
let trust-value
4 O7 Z, ]+ |. Y. o# F# K9 C/ elocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
c# o' N) ~ J1 Q( j3 Uif(trust-value > trade-trust-value)
# G) h9 v* h2 W4 M8 X[set trust-ok true]8 y. k( ]/ x% |) K
end0 n4 P* c4 M7 A2 j
$ i# j+ @% w. ~6 Y. G. Tto get-global-proportion
u3 G0 _ F& l& Wifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
F1 ~$ v- a8 G9 V0 s[set global-proportion 0]8 a7 _( g' e1 X6 j* J
[let i 0
4 k- G! K8 V0 a& p Dlet sum-money 0
5 a$ z2 Y/ v4 @* w" a+ xwhile[ i < people]
- U, x! k# {( b[/ e* t, s" t" [1 f# \0 d, {
if( length (item i3 z" k' `6 K/ a M9 s8 ?; Q, O
[trade-record-all] of customer) > 3 )& I9 }$ ~8 E6 G5 v4 \
[0 C/ F" o/ I( R2 G6 z
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
8 y" G k+ o' b- @]& _7 j8 y4 a- Z0 H T; k3 B
]
( K7 l7 t- p8 b3 } R$ alet j 0, ]- I4 l/ n$ h* N# i* U g# a
let note 0; f8 H4 r! R% ?; k. ?# X4 M
while[ j < people]/ B: Q, o' L4 O1 g
[3 \/ b+ m; O& A1 T* x
if( length (item i+ @& {, h: x& u) X6 C6 ]7 P* E
[trade-record-all] of customer) > 3 ). t, m1 A5 v- p9 p
[
# P9 T; B& M( {0 ^1 ]5 Gifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)! t& l1 M2 j. k' t, i a) F
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]( U5 Z( e& Z9 b! |
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]# _; j# k& l1 S( R; `9 A
]; L' H5 C$ l; `
]
: o* i. Q2 [. K @set global-proportion note
& ~( `, e; I3 ?: p]
( C5 U8 C8 H! r/ {8 B* z& b p* vend
0 k9 u( @; f6 ^0 j, f, K# U% v& {! Z& L. z
to do-trade
8 r; X$ j- ]0 z6 U& P% P2 R1 g9 Y;;这个过程实际上是给双方作出评价的过程5 n! R5 C7 k* |, H0 q/ `
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
8 P# O0 h/ }4 J. z W vset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
, @7 F8 w& s4 ]8 zset trade-record-current lput(timer) trade-record-current
$ k' _1 s+ _- s5 a/ k% H6 K;;评价时间
! X+ o) Y9 g! @6 e" B2 P; Hask myself [. `, R7 D0 R; L& n! i, a
update-local-reputation- _/ D. V) k$ g, l3 K
set trade-record-current lput([local-reputation] of myself) trade-record-current
' Q3 g% X: w: f7 V0 V+ K6 P+ m! q, x1 W]
/ w- N" _, m1 d9 }, E& sset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
2 k, m! B6 b, U4 G! }1 z;;将此次交易的记录加入到trade-record-one中6 \! }8 b& S/ P4 l: k6 ^
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself). {% m, t2 N9 ?( V8 K
let note (item 2 trade-record-current )9 h2 M, B+ d# l6 N9 Y+ Y% X
set trade-record-current
% J3 y# U8 b3 W; ~* K5 G" j$ }+ J(replace-item 2 trade-record-current (item 3 trade-record-current))
5 e% _) a" D* A- T5 N) U; uset trade-record-current
! F3 ?; A' v2 J( G3 W+ `' S(replace-item 3 trade-record-current note). Y* @7 I4 W* o: o
9 Z3 Q% @, B+ S4 C! \
* q0 c8 [0 I8 M7 l7 V% N# oask customer [
! [: j9 R$ O# Aupdate-local-reputation* i9 p0 a* m2 x6 G3 h7 `- y- w& H2 n
set trade-record-current& {& P' E3 T1 S+ `
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
5 v, n! b' O, n' Y( A n5 B# P5 Q# {]0 L5 k3 t7 M5 ~8 W; H
& \( i' i$ B+ B
5 [: N+ G; t) I* P9 Y9 W5 Aset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
9 p# i& ]$ z% p! @; Q; y
9 ^0 Z! l: ?+ W. s9 ~) Aset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
" @5 i5 X3 d; t& O T8 w/ m" V; @; X;;将此次交易的记录加入到customer的trade-record-all中8 x7 i/ c( s! h! P
end& m" V7 O8 o& K# n/ U3 K& ?4 {
( x% v" r& K% a. }7 j1 ]
to update-local-reputation
. ~; o1 |; ~' F+ _+ V% g) Tset [trade-record-one-len] of myself length [trade-record-one] of myself
, }8 n9 f. V( Q! [" `( L Y8 Z- ?: R. e1 z
/ c. P# p% T+ E& p! E8 A9 p: c$ \;;if [trade-record-one-len] of myself > 3 % P9 R/ s9 l5 S: H. z
update-neighbor-total. n, N; E; j+ N- g( n, g' K1 ~6 A; E
;;更新邻居节点的数目,在此进行
0 p7 e& B# R" c$ _let i 3
$ X, V% X. P/ T. d, qlet sum-time 0
4 H# J: z! J& [, o1 Xwhile[i < [trade-record-one-len] of myself], c/ F8 k. w# F- [
[
" {6 ^! m; V% Z) @6 B1 aset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) ). z/ D5 d6 S: t0 V% k) z( ~) R' T
set i
- w& Z2 g e; S4 \8 Y( i + 1)
8 e# v4 T: J7 |+ Y- ~]0 T) m% k& G' e' x0 X$ ]* |" {& R8 w
let j 36 {4 R9 c$ H7 Q+ ]' q$ K
let sum-money 0( _) p; f( A# }5 s
while[j < [trade-record-one-len] of myself]7 |4 u' v4 V! G6 L# P
[
/ l+ q4 ~) E9 ^: u! rset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
; b6 u& ~+ Z; Hset j& V$ Q, h, `9 L# ?3 W3 H$ U4 A
( j + 1)
, N. f. O' F! m2 }" e2 d]
% r% A8 [: C7 \% a* K: xlet k 3" d% l) a: i" o! H, u% W8 R* u
let power 0
8 p( ~; S0 p( G' _let local 0" X6 D# x; v7 h% x6 ]# b
while [k <[trade-record-one-len] of myself]% v" V0 B) f A, b! V( z. ?
[
* ]. ~6 `2 H. n: X/ nset 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)
. w. p, s& s# T9 z+ r9 I) D( nset k (k + 1)/ U" N9 V8 h: l5 p% U
]" a# |, { a6 M' }
set [local-reputation] of myself (local): y* _9 z: }( n; Q# g1 c
end8 H) r7 ^0 F3 j! Z9 A& G
8 n- T* |9 z4 R
to update-neighbor-total
; I) v+ N& S: T' g' K
# y9 S: L$ A; t" ~if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
9 [2 _+ Y6 g/ q. g. m2 ?
6 y) N: ?, c! n9 ~% t
3 Y9 X% p$ C' V* Fend
: B( G$ ]. _1 d# b; K( h6 b& ?3 t/ F) H2 g
to update-credibility-ijl
- ~$ C4 b+ D8 m4 Y* s; {& h1 A! a7 b; U( d# T
;;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, J- I0 @- p) ?let l 0
" ~ D+ d5 d( ?' Cwhile[ l < people ]
( B, t4 c" N7 t;;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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let trade-record-one-j-l-len length item l ([trade-record-all] of customer)' s7 y+ F) `, f! {9 g9 d, L" ]
if (trade-record-one-j-l-len > 3)# [ I' {- D2 F& |# Z5 @
[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
+ |1 f) u2 q: n: o2 plet i 3
* }4 e% E; H p5 q+ V: qlet sum-time 0
2 S/ D4 v5 a$ m$ z& B" K4 Swhile[i < trade-record-one-len]+ K8 p; `. w8 b8 E5 M2 q7 a& P
[
4 t& b3 E+ E+ ?( B1 R, zset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
5 N- r, k3 E! r2 ^1 i8 Gset i
( F. j. s8 K5 [6 R: I( i + 1)! r$ [1 |4 ]/ R! e/ x/ y% U8 R* l
]. m, ?: S) } k2 V- d5 F$ w
let credibility-i-j-l 0( o6 e1 O/ e5 l9 r1 Z. E8 q
;;i评价(j对jl的评价)( h4 [6 P0 Z" h7 _; m
let j 3" `: l4 w( X+ P9 F; w8 t. E
let k 4
8 e( H) E7 l/ o4 H; ^while[j < trade-record-one-len]! V% y# j% _3 h+ Z Y5 e/ D6 w
[1 I& q6 @+ @/ d# K
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
0 i6 W% J$ k1 m7 q7 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 j9 ?# P D i) H# _6 Vset j
* w7 K. e1 [8 {5 e( j + 1)
* n; ]- N {1 e% _]! B2 K: ?) w0 Z0 ~9 `. o5 }) x& X9 |
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 ))& c$ ~7 D O' e8 o& m
A w5 N. N9 o3 V% L/ Z+ i' U/ o, N# F5 Y% N! p
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
, m* ~* N& s' |4 ] d. K! x Z$ Y;;及时更新i对l的评价质量的评价5 e1 i) f. ~3 w) }* f* g0 s% D
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
1 G+ ^1 D1 \8 @: N7 o) k7 ]$ Iset l (l + 1)
2 V& [" x5 F9 A% Q' Z]7 A! \+ Q8 I& d1 `0 v. Z+ X1 g1 o* R
end
( m/ v: `) L0 s1 y% ~, J5 l" X& A: w! y% ^% s
to update-credibility-list
3 H- ?, v. \' V3 s! A% [let i 0
( G$ G) n; f; s. u5 {0 ?1 U4 ?while[i < people]
/ x* A3 k( ?7 Q6 e9 T[
5 {" H: ~3 |: T. L) olet j 0- U% e6 i; t% h
let note 0
: D1 n/ x0 t0 t9 ?) jlet k 0
+ O: c p7 K' E, ^; h4 }7 ?;;计作出过评价的邻居节点的数目- r4 l" B7 L( X% \* j* A3 w( ]* T. G
while[j < people]
& {) M |6 f$ J5 J: `* {[, j! y' I* v2 \3 n; W! e
if (item j( [credibility] of turtle (i + 1)) != -1)
* N7 p4 \$ i# R. s- D;;判断是否给本turtle的评价质量做出过评价的节点( |* J" W- O& v9 z3 u$ I( C
[set note (note + item j ([credibility]of turtle (i + 1)))
! V5 s. {1 K' L- N; t9 [;;*(exp (-(people - 2)))/(people - 2))]+ W# W) ?7 P5 X. O& C* a3 r
set k (k + 1)$ {# r$ \( `4 M3 ]' c; |3 C
]: ^* Y/ D+ y, S( g0 p. M& m& t8 C
set j (j + 1)5 C3 S2 y! g% v9 K2 V5 F
]
4 O! M! `+ t4 W5 F8 W2 n" `set note (note *(exp (- (1 / k)))/ k) G4 X$ n8 }; O' W+ c
set credibility-list (replace-item i credibility-list note)
8 ~/ c8 _) g0 L8 W. Y2 Bset i (i + 1)( n" l7 A D$ D7 X9 N: j
]+ g' w( l- {( H. C& ^; b
end1 w+ g% n7 b. o4 t8 a5 C" a2 H
3 k4 @% p' p) Z2 t0 \5 ito update-global-reputation-list
+ Z3 P/ }& A+ o" |! W" N) I" ^let j 0+ }. f* y7 Z6 L. ?
while[j < people]) h( \8 ?. i! ]
[
8 @0 r* D# _5 l ?let new 0
% K3 @9 Z6 a! L2 \( A;;暂存新的一个全局声誉
3 b8 j) K$ s) v' }* D- ~let i 0) M( A4 b4 B6 P" ?
let sum-money 01 C8 f; T; d5 L; L
let credibility-money 0" s' U0 J- m. G) Z1 \$ [
while [i < people]
7 W1 Z/ W) g( P: \$ k5 f7 N[6 P2 S1 b& j5 O; ^0 g
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
7 ~3 r2 ^8 ~4 Uset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
* A9 v! O* d2 E; b4 C; T( Kset i (i + 1)- q3 H& [& D" ^, P
]
. e6 {0 {( \' ]1 E& f/ klet k 0; A) @( w% X/ g7 U: L
let new1 0
1 ^9 x, d) S& D S* Rwhile [k < people], }( {" l: U" m8 c: e
[8 J0 Y( D1 b( R
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)
" r( N- s5 z/ w ]set k (k + 1)
8 Z3 f( k% X+ Q6 \; m]
7 S P% c/ ~' \4 c/ \set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) % b$ c2 \' d5 q
set global-reputation-list (replace-item j global-reputation-list new)! Q& B% S6 r+ P
set j (j + 1)
6 v# F/ I+ M* v, h+ Z" X* @/ ]' \], j- |# x; `4 L8 g( w Q
end
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to get-color
" d3 b6 ]" ? u/ t: z
" R# n( ?; O% |# N$ G# K2 eset color blue, s7 B5 F0 F1 f% |/ @) M, f
end
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: }- A6 @: k6 _1 Mto poll-class; F$ R! [* }: D+ V
end7 x. D6 C5 T3 ^0 T& I+ g" Z$ T5 K
& T5 \. v% ?( P+ `: ?to setup-plot1
* y# C" N7 } u& L) Q" C
: c' R. h8 G, Z* cset-current-plot "Trends-of-Local-reputation"% S/ }2 J, q0 m5 L
7 G4 E! H4 L1 I- S; G# i% ~2 e2 g
set-plot-x-range 0 xmax
2 A! O$ f5 Y0 _( b l |, {. Z) l% v- C- A5 d$ \# M# L
set-plot-y-range 0.0 ymax
" C6 @& P& W8 rend
2 q6 d' f/ T* ^$ P
+ f; Y( ]' y0 v5 I! T; Uto setup-plot2
# r4 N" e, D7 J4 ~( }' ]. U' J: Z& B" @" V. l5 p
set-current-plot "Trends-of-global-reputation"
! K' i. O8 e4 w6 K
" I, k p" ]4 w3 c6 Uset-plot-x-range 0 xmax7 Y o; C* \$ M
0 c- b I' i* h) C2 X8 O1 z
set-plot-y-range 0.0 ymax
0 z' |9 H$ @ R$ Cend
2 K) `, u: ?% Q4 p& O, D
0 t" Q2 y; }: Y. Kto setup-plot3/ n2 S, C5 i0 B9 v4 O1 s
( E$ a+ y3 {5 F1 M7 j8 k1 z' R2 x! Wset-current-plot "Trends-of-credibility"5 G7 _7 `7 h5 _% w, |/ r
4 C& J" G+ G. G! U/ Fset-plot-x-range 0 xmax
8 I' u* O% C2 z( L$ ^% U( E0 f3 o. W* b6 b
set-plot-y-range 0.0 ymax$ I. X3 }. f0 }9 t. z6 ^
end7 J; |/ ~3 P$ W9 U8 `( K! y. n
; v, n: Q$ j+ T/ q
to do-plots* o7 w1 g5 @2 O6 t
set-current-plot "Trends-of-Local-reputation"* p+ N0 b7 E) z; K
set-current-plot-pen "Honest service"
4 ~7 J% m0 ]# o2 yend% q% m1 @' {4 W7 ?" t8 p I: J
: d( ~. v, I" l# x
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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