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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4 q& `- v' s' A- n5 q) y2 v% t
globals[
+ z5 F" @, ]1 f% r& K3 A2 sxmax
7 E0 J/ m( ?& K" Z b' T7 n9 W& uymax
' m1 c7 k I* \; lglobal-reputation-list% x8 e# ]! s6 P
4 ?- @3 y s* Y8 C) [ Y" X0 C, O
;;每一个turtle的全局声誉都存在此LIST中
, g% B- |" r7 r$ p4 Q& g) xcredibility-list2 I- K4 ]! ?! q9 A* [/ Z1 z
;;每一个turtle的评价可信度- s. b7 T, Q5 [: O) z4 w
honest-service
U, {" d* O. `8 R6 Eunhonest-service
/ r( W6 ~0 F. q) ]) J9 q+ V9 e0 soscillation
" n1 S$ Z0 I* q5 ~rand-dynamic
w! y( ~5 y/ u5 X8 S5 C" u& I]
3 M, a7 f3 t. q, {/ }' o/ v
4 ^/ [2 L# V W- Fturtles-own[
# {6 U. k& C! o. ntrade-record-all9 T# c- _& O; L& D1 `7 {' u+ Q
;;a list of lists,由trade-record-one组成
8 x5 Y5 E% C* ]( s) U& x) ^8 etrade-record-one8 R, J) Q% ]* Z. C
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录$ o( [( ^. }2 G& M2 b
8 j+ ?5 O3 v0 ^8 e# 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]]
% J- ~8 n: |1 z% wtrade-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]
8 M5 s) k3 Q' c+ l8 V8 [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+ P0 L( \! M; J% y" M$ \( S. ~
neighbor-total
' k$ ~ L$ [. ~5 h' ^;;记录该turtle的邻居节点的数目
+ m, K! x% n$ k0 o) Ltrade-time1 ~$ u b9 L- H
;;当前发生交易的turtle的交易时间
2 ?' \4 E& C2 ?: c- C8 xappraise-give6 P% G% U8 ^# x8 j ?* x$ s
;;当前发生交易时给出的评价
3 K8 a- X+ V3 ]% f$ {; d5 zappraise-receive: ~; n9 G2 z3 {& Z
;;当前发生交易时收到的评价
2 ?1 e q! w' w3 E4 Wappraise-time
0 `2 x+ R% l, d# q;;当前发生交易时的评价时间
) q2 L& s/ w! y6 ]2 E4 I2 {/ m, ~2 nlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
" s; g9 p5 c ~trade-times-total
) V( f1 H7 D2 O% `1 k; X% `( I;;与当前turtle的交易总次数
$ ~4 ~, Y! F4 D* Q2 Vtrade-money-total
2 Z4 O/ Q2 Q8 ~* P" };;与当前turtle的交易总金额5 I" y3 ?6 ^: R+ B- ~
local-reputation
. _9 x$ U; C" U4 P2 bglobal-reputation: d: ^! O2 y& c3 z
credibility" W) x3 b/ Q: D( ]
;;评价可信度,每次交易后都需要更新
8 z3 F% b, a; X/ acredibility-all9 U4 t( M. t/ J9 L- C
;;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 D0 s! I- S$ k. N# B8 s9 ~- F/ d6 R' 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$ e2 a! q) v% o6 u
credibility-one& c1 |' I3 Y) W! v( t
;;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
# N0 H# U/ m6 X r- aglobal-proportion
5 x. j, _0 N: j$ q& M( scustomer' Q% {3 s! [ N# J ` e4 P3 \' ^0 K
customer-no4 H! p& n, f7 W, i4 q
trust-ok8 V- q2 K! T' ?8 {) g+ i
trade-record-one-len;;trade-record-one的长度
, v3 e% p1 C/ ]% W]. z0 h5 M5 M3 i# `2 d, _
: e/ H% p$ c: R* M
;;setup procedure
4 D- F/ |# K8 b' a( M1 A8 ^
$ o: d/ {9 T8 h7 `' C; \to setup
5 W- \- j7 ?8 H0 A; N0 `9 ?& C4 V" z( s; j7 W2 O
ca E I; r) I# \( a
! K% A! E! l: D6 Oinitialize-settings
; a) x3 v& ?! C- Z5 b
9 h" n. W, s! o) lcrt people [setup-turtles]
. |+ @0 h: }" g/ b( {. U8 S- H, ~+ O, v( Q6 {
reset-timer
( Z, J* ^5 M. o% |
* j1 K2 {* w7 [: `: m' Epoll-class
1 [% D# | O D: w- n( f2 H
- L, x2 F* ^# v: _7 [' u* msetup-plots7 x: M0 h$ c( b6 G* }( u
: m/ c" ^/ _# G- m6 s3 b D& _
do-plots
: A5 m* W. f9 s) ?3 A6 A4 x+ q5 Xend2 S, b& O5 N5 F% Z
) ]5 k$ d L$ m" I2 e9 `to initialize-settings( u, u9 d. [" h3 s
7 f. t5 D3 _1 ^" M- X
set global-reputation-list []5 C% p! j5 Y! o- X. U; w$ Z
: r) d3 m6 \) E; B* T0 Sset credibility-list n-values people [0.5]
$ Y" L( Y3 G- \. Z; [% D. Y [8 K+ C+ k
2 m, u4 ~. H& U5 _) L8 k& B mset honest-service 0# ?/ N& Z' A/ |) K
' N% b5 h$ p7 h" N4 O1 G/ n. Gset unhonest-service 0
! z( {7 A& M! ?4 G& A/ N4 ?
& t' F0 ^+ D$ B7 Wset oscillation 0
# z& a9 q' |& F X* ?2 v$ @% [- U# h6 ^( G
set rand-dynamic 0( ?0 h, c8 Y& y
end' j8 Y: k/ V" C n) |6 S
: D6 Y5 z7 ?$ d5 F1 V
to setup-turtles 3 k/ ]) |9 h; Y. f$ O+ X* D: y6 B
set shape "person"+ Q4 p& Q7 F: y( f
setxy random-xcor random-ycor* k! U( |0 ?; ]# g" ^1 x
set trade-record-one []
% n8 l1 i* L* ?; S( f' A! _' |4 W2 [% {+ y2 V
set trade-record-all n-values people [(list (? + 1) 0 0)]
2 y( [/ g, _! {/ S: v$ s S
! O& a) r5 f7 Qset trade-record-current []
( |. H4 y i5 ]. }. o4 s) iset credibility-receive []1 F# R; ^3 ]# i% o
set local-reputation 0.5
# s1 @' Q5 s+ T1 i" k. S7 Oset neighbor-total 0
. M+ ?- R& S# Y C$ Rset trade-times-total 0
8 s& E7 [2 ~' Z" ~0 U Gset trade-money-total 0
4 q @2 m& K8 O# A2 o# wset customer nobody
+ b# D k; {* _, E& X9 f4 ~set credibility-all n-values people [creat-credibility]
' x; x2 T$ b7 q; w$ `0 O/ t8 `set credibility n-values people [-1]
* u/ b; a' T# T* j$ W5 ^9 ^get-color
8 r% [, g3 ?6 b& E
8 T6 O3 ]5 e1 C7 {! iend
0 I3 C! F' h4 S2 e0 d" L* [8 c
" J; C: i- |* c4 a" s* Sto-report creat-credibility
7 t* H* c8 `3 J5 k/ x, M* ?report n-values people [0.5]6 b/ I" y7 n! R: U
end
* z3 h' u4 B7 Y( W' B4 P& ^) m# K/ d7 x( H7 }) \
to setup-plots2 q# k3 e- H: T7 x
?3 H5 V8 b' i, T0 x8 C9 _
set xmax 306 o* |9 Y/ I) A& J7 z( \6 f# x1 j* m
* a- \1 ?8 c; K- A
set ymax 1.0
# z# u' a4 s$ g; U1 w7 l' S6 C! e0 B* i& V, a, S
clear-all-plots
) U' F/ s6 ?" p, R/ }! k
$ i( O+ H8 U9 W" _: T. O! }setup-plot1$ _! Z9 x+ k- `4 J- Z3 |9 D6 \
8 G- V- Z; P. _; asetup-plot2- H) G. F+ r' S7 P
V) N9 L2 B [+ E. p, tsetup-plot3
1 a1 r5 I# @, Z6 R0 E3 Zend( y; ]3 _0 i& e1 q% _2 z2 k$ `5 g
$ m# A! u1 W1 P;;run time procedures5 g d* K/ L5 ~
/ |3 t4 r/ A8 l* P) y7 B" J) ^" dto go
n" b/ w/ [" @3 B& `
! ^9 G a, F( G2 uask turtles [do-business]
4 }6 P- y+ h) H4 R5 ]end9 B6 v9 g) @6 J
. M) v$ t& Q3 b( ^* {; r! |to do-business ; j8 G9 R# c- E/ Q" |0 f- H6 ^
% P$ D, s/ p1 ~) A8 {. O8 @4 _
9 [! h4 R! Q( `rt random 360% c4 ~7 A- F& p# O; n* C& D
- j8 U6 U# \2 b. r1 S4 I5 B7 |
fd 1
) ^ z# c' v9 f' w2 R: G' g
: W4 G2 Z) g% x) Z" y% D) kifelse(other turtles-here != nobody)[5 G" z: a$ h0 P- `+ A* z+ h& H E
. t6 z) H4 d( Pset customer one-of other turtles-here
. @7 e; `" _2 \& P$ j ]8 z1 s9 W n. s& S
;; set [customer] of customer myself2 Q7 c9 c' v6 }, |/ u
( Z" K# B* r/ o/ T8 N
set [trade-record-one] of self item (([who] of customer) - 1)
) Y- w9 N [5 |0 c[trade-record-all]of self
) R+ j% k& y( }6 ]. l. \;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self/ k, L0 d2 X/ {/ U/ i5 [
; H; y9 w" q; w3 B
set [trade-record-one] of customer item (([who] of self) - 1)
1 [6 L; e$ s% g[trade-record-all]of customer
* J) Q1 e: D- `4 q$ Z# x+ H/ P4 U8 y' D$ ^4 P/ ^2 }3 h# K" Q0 ^, q
set [trade-record-one-len] of self length [trade-record-one] of self
7 q$ }( q6 W) ~5 W* z9 E8 R# i6 L" A, x |: i" l2 F q
set trade-record-current( list (timer) (random money-upper-limit)): o6 K: F0 q9 v3 R
: ?* o1 ?! T8 U3 N7 b% P" Q4 i5 Z2 `2 H
ask self [do-trust]
: X# G6 F. K' I5 b;;先求i对j的信任度
1 @: B0 }8 @4 \! e9 b1 E7 z/ a; ~1 h; V9 D5 I
if ([trust-ok] of self)
1 B! N1 ^' M& z' z" M7 y* p$ \;;根据i对j的信任度来决定是否与j进行交易[; T6 S0 T' Q o2 w! |3 |
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself; U: G7 H; o) `3 P9 ?
6 n8 O# t/ {# G. E: H8 f[
2 r0 e+ l- y4 x! h4 x0 |- C( E" f V$ v4 t3 [& ]1 S
do-trade" Y9 }# L& l+ \! }$ U
7 _! ?8 p" d) d' ?' Yupdate-credibility-ijl
) y9 _" F- k) O" I7 \4 ^3 J* a" K/ l" I7 e8 r
update-credibility-list
" ~% a2 i& i, V* P! Q3 i8 r* c: E' c7 L
- y% s4 k8 s; N5 {update-global-reputation-list& l m- B* _1 A6 M3 C$ u
5 o8 }, J1 p2 }" u' P$ c
poll-class
( p3 h: l$ |1 Q8 d- s+ i k! Y( M Z# a% [4 ]/ x* |
get-color
1 |+ a' h' }( i/ m, g) g4 U) F* v- Y" ` E N7 N, E1 C1 P2 L
]]6 A/ E6 _5 d) C1 z6 o7 v% E! Y
; s& Z2 C" p% ^* q( M$ ~- K
;;如果所得的信任度满足条件,则进行交易3 P. ]& B& s6 ~3 ~, |
- ]+ ?! L5 d6 g[# w( K3 q) u' c- _9 Y8 q& J
1 P! Y. I/ d1 V
rt random 360
1 ^2 }2 `* E3 A# O$ I8 R n
& g6 U1 O9 G5 Z4 m0 v' k lfd 1% A. C& h( `5 G
4 p3 E( l; u1 t' E4 }7 }, @0 K& }& g
]
. y) B' O8 y& v% i) [8 N; k' v" k/ d5 v
end
: E6 h$ U# q) L A1 L* r) h; T5 K( s: s" u7 {3 B
to do-trust
* E, ?( u* W7 F3 Aset trust-ok False
8 M" |+ e- c9 \$ y9 m3 b
) d" w8 E- w2 d6 |! @! d
* k2 }1 t( H1 r1 D7 @let max-trade-times 0
1 H6 w8 \& u: F7 N( Lforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
* u0 J+ w) t( L# d4 E) U* vlet max-trade-money 09 B- p: @+ a( ^2 L, b, F' g& i
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]3 F! T/ I( l# Z8 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))8 G0 G- A% \0 K4 I4 x; v8 U7 H' z
5 n: B8 b* Y0 }; i8 o0 i" a: U
& [2 [/ b$ }# H4 {! }4 N8 ?get-global-proportion- \" ?" n, Z3 |
let trust-value8 z. T# h9 ^% |5 t% d6 t
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)) h3 P. v9 K% E8 G/ {, T4 U- M6 p% w
if(trust-value > trade-trust-value)
b t6 Y& X9 L0 g3 f" Z[set trust-ok true]
7 q3 K* W$ ], f7 \$ Vend+ ]: Y3 r. B: [) t3 V C
% N. f, k% Z2 ~0 Mto get-global-proportion" m& z7 k* }9 u7 S
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
9 z3 G. r3 u0 L[set global-proportion 0]
7 I+ w% g! C& ?% z4 E[let i 0
* y$ M* p6 G+ C- [let sum-money 0
! f$ f) T1 x# X |6 P9 Kwhile[ i < people]0 q* f. E* t( N N
[
) R$ K4 B) K5 e; x! ~2 W$ Tif( length (item i
: C) G4 M, ]5 h/ I+ M5 H: q[trade-record-all] of customer) > 3 )- t$ _* T( g! [0 j% @" ^6 R K% D
[9 [3 o# B( I5 n/ o
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
/ H! e9 ~2 u/ G# Z" O0 e* F]% [5 p3 |0 {. w4 c. R0 _8 q, ]6 F1 T
]
9 H( a+ z- Z/ R- |* X* J9 D) h4 T( y' zlet j 0' S" e a5 u# o3 W
let note 0
k/ d$ f, f4 q# M' J& Ywhile[ j < people]
* A9 s$ G6 \7 k$ z- c[% n" c7 c7 d$ T. @' L8 g
if( length (item i6 D0 t$ L0 Y1 ^% V
[trade-record-all] of customer) > 3 )
1 P; d" g* [: I2 t" ?/ A6 O( b, g[/ I( z" y- a/ l! B( m; Y
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
u, b$ q5 E4 y# @[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]# U+ a! k9 V0 V+ [1 f
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]8 Z; n" z2 A+ ^2 c6 j; ]
]
2 ^* |# {" q$ L]
" \9 p& X; o. R6 sset global-proportion note
, X R* U& @+ @. \: K! a]9 N) J7 a2 P7 Y) |% z5 A5 X
end8 q5 c/ Z, l' p' C' ~
2 q8 _2 v. t! r8 l& I
to do-trade
% C9 U% _7 Y, P- C: n* o/ b) a;;这个过程实际上是给双方作出评价的过程
, W6 }5 }6 h: q8 y7 E6 Y1 l7 G" i Q! lset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
& e9 M1 h+ q3 w p5 V6 zset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
& C7 G0 t: K3 p) m+ kset trade-record-current lput(timer) trade-record-current; |0 W1 }- |9 H4 t
;;评价时间
/ s {' i$ M0 ], v8 e; W) J$ `, w$ mask myself [( }! q0 B4 i7 g
update-local-reputation4 H" c; m; U9 {7 P" b
set trade-record-current lput([local-reputation] of myself) trade-record-current/ X3 q. w/ R9 B0 R y
]
; N @6 N, X' Gset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself; K5 t0 r3 l2 z" P
;;将此次交易的记录加入到trade-record-one中
4 O8 e8 [5 V5 {3 F: Z% sset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)& |2 E2 S! n$ z3 E+ O! V% E6 M- q
let note (item 2 trade-record-current )
" F6 |( N/ B6 ]7 K4 hset trade-record-current- f, A: F8 e) E J) x
(replace-item 2 trade-record-current (item 3 trade-record-current))
) f+ w( |+ ?" ]9 Aset trade-record-current
Y8 C4 t6 v* v/ _. x5 Q# L# D(replace-item 3 trade-record-current note)
) W) Q7 @: ?/ I( F
1 J' P4 l+ J l% ?& c
5 n7 \. c7 X8 P0 [5 n7 yask customer [
8 M. v( F/ Q6 |update-local-reputation8 s8 p6 F6 h# v2 R7 {! H2 m
set trade-record-current5 J, ?' n |5 V% o
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
: Q7 Y5 b9 b8 }" ^]
9 _0 W& w3 e2 g$ g8 `+ Z% Z( Q/ Y! B, y1 _
2 b; q! e& r6 H+ s+ N; u1 |set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
) S [; t) x$ _9 o( O$ ?' G4 [; H; \2 k" I* m
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer)): h3 Q, E1 \! s+ Z8 z
;;将此次交易的记录加入到customer的trade-record-all中
8 b- x& n2 O" U( V6 \3 [end" w) y1 [- ]2 R# {7 E
7 _8 q7 T8 _7 a# b1 N, @
to update-local-reputation4 p9 p5 D6 G2 Y2 t: u
set [trade-record-one-len] of myself length [trade-record-one] of myself
2 R, b2 M5 T; B: i( d
# [% u7 |7 g' c3 D. d; p5 ]" M9 C! S1 M1 z5 d6 l0 T; f. p* ~
;;if [trade-record-one-len] of myself > 3
* V& q5 r' u; v) Z) e( aupdate-neighbor-total1 z& a: v* ^* j, \2 y+ L. M
;;更新邻居节点的数目,在此进行
+ e( y% G2 z6 `( z) [: p/ }let i 3
8 m: \0 V9 w1 x1 glet sum-time 0
% ]' z( h4 ^ v6 v9 Y5 Nwhile[i < [trade-record-one-len] of myself]
7 ]" s4 J9 V- |/ H[& G% y6 g1 L2 x1 d
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )7 x" q9 E( H; R
set i
' X& h) s L2 A( I, H1 `9 [! x( i + 1)$ |1 b- o7 w7 r* d
]
- G) @! I7 f9 r; S7 rlet j 33 i0 r Q. P) z8 s/ V
let sum-money 0" j0 [. [ f$ v7 U" C: g
while[j < [trade-record-one-len] of myself]
8 w- q7 \5 _' t# X[! ~& i& R) B& _+ Y3 @
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)
* I/ H% |8 i6 B! S1 `& m/ H zset j
. V* I7 R0 ?6 d! B7 N. }+ b* {( j + 1)! D' \- i$ i; J) y9 n5 C* f8 N
]
( ~. q2 A6 G0 glet k 3
% S/ L: k0 X- Z% `let power 0) ~. o0 }, W% h! M L, G
let local 0+ P3 O3 }9 G: d" t( y
while [k <[trade-record-one-len] of myself]5 Y' L- V$ C6 y7 `
[$ P0 w8 s7 g7 i6 z: y; J$ N3 h
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) 6 @% G2 v8 _ j6 R$ [6 J G
set k (k + 1)/ x6 m& Z: F' r, \' u, W; D
]
2 R$ K7 `& B( s- K3 |. tset [local-reputation] of myself (local)# _2 t+ ~ o4 ^/ |1 k: C
end
; b) C( T c: w. k1 U4 z1 V( U" |+ S* \$ N
to update-neighbor-total
/ R0 H1 {/ T# i) {
4 E- o) g& T: `if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
3 B7 K$ W- a7 y/ t/ J8 B T0 D) ?+ b% V- z6 n {0 S/ o; y( i
' }( v7 Q1 K2 lend; T2 J6 L/ l* t
- K7 x! Y1 T7 ]% P
to update-credibility-ijl
2 q( N. N; V+ R% Q
- A1 a0 M6 W, G;;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。
. K! k. [- y6 g$ r. s" }let l 0
6 P8 G! }7 v( X/ Pwhile[ l < people ]
/ _, Y+ y1 j9 n0 \( d4 K;;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% ?5 ]7 E1 F0 g0 @) k
[
3 K% w3 H9 {; v2 ~let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
8 z& j# f% e h2 Aif (trade-record-one-j-l-len > 3)
7 Z* q3 u! Q1 j3 B5 W[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
! B6 S$ Q# }% M V7 Ylet i 3
& W. s! x, ?! L& m8 W6 {let sum-time 0
2 z. d+ x1 A/ r* A$ a- nwhile[i < trade-record-one-len]. w! L; L8 S/ Y' N
[
! J7 ^9 m# p& O1 Oset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
0 O% m8 {' R& A1 M, qset i
7 C+ P a" p; N1 b9 _! k( i + 1); d" G7 i5 `1 f. q
]
/ u$ J6 `* |9 s* olet credibility-i-j-l 0: g8 k5 U: W, z& j
;;i评价(j对jl的评价): l6 k) o# ^' z9 P0 ]
let j 39 P& J0 k# G4 m @: A- s' h
let k 4: Q7 p5 _) M( G" m. J: Y
while[j < trade-record-one-len]
0 H7 f' w+ r0 z. r7 X9 R[
% P0 O1 D5 ~$ ~# Ywhile [((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
7 T! ~% d; S [. K7 \( ^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)
' v. a2 Y# U1 J& Fset j& y+ a" A0 p' s- T; G
( j + 1)
+ N' o" p% z) @/ B" X# D]1 q, `; B, m- U J
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 )) Z' q( S& X8 d% Y; I; Q
( o" v) p0 k( H1 I( x% k3 y
( ?6 a8 i& K7 C4 w$ ilet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))1 m" o9 {- o3 }* z1 |2 i* L
;;及时更新i对l的评价质量的评价9 b" W z/ L$ o2 l; F+ i; X& h
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]9 j( b, n/ |5 ]1 q6 Z3 {
set l (l + 1)
; f% ?5 T6 i3 }. |& A]5 A8 V/ u/ t9 E% ^. c* R4 n* A, t! e
end* u+ M, d' m: a- C O
& }, M( s" u! F# j* w
to update-credibility-list
0 O/ u9 a! r4 @0 w4 P2 glet i 0
- Z3 Z1 N! Z; B: s/ Uwhile[i < people]
1 q6 s& }) G t$ g/ l: n U e+ n[ x0 I4 S; o, A3 W& G; P! D6 g; |
let j 0
! n$ x3 q( l* x# X9 N- X" c% D" x) @let note 0+ n4 y; p2 G+ D& I3 \& w# h1 r
let k 0
: y# b5 s" n+ |;;计作出过评价的邻居节点的数目" a# P- b0 Y. ^% Q# L8 B
while[j < people]
7 ^, C& v/ C7 Q9 X2 w' ~+ l# v- P[
/ e* G+ q6 `/ v, Z5 @4 V/ q- |if (item j( [credibility] of turtle (i + 1)) != -1)( @" N' {& m* G
;;判断是否给本turtle的评价质量做出过评价的节点0 z# _, A/ \9 f, m3 r6 y
[set note (note + item j ([credibility]of turtle (i + 1)))
; q2 c7 _7 ?% F2 J0 ~0 U;;*(exp (-(people - 2)))/(people - 2))], p1 Q9 u- w; a1 X
set k (k + 1)' {/ K( W( p4 G w$ G
]% D& l6 e) P- ?5 u+ Y
set j (j + 1)1 g6 A, V7 t3 d( p. } O
]
% q C8 w: _- z2 ?, c% lset note (note *(exp (- (1 / k)))/ k)$ [. P' w( \6 [% A3 e
set credibility-list (replace-item i credibility-list note)9 z& o" g* @, ]' G
set i (i + 1)) p9 s I' N$ F4 i3 C
]
. U: p( I4 k8 B) Lend2 V' J- m+ P) E* {6 b
# W- T2 Q* W* I2 u
to update-global-reputation-list
5 Q$ C- z( ?, v qlet j 0# ?; G; q9 M j# q/ K8 V+ g1 ?
while[j < people]
0 ^8 e& L+ w3 B1 u: J B# Q[1 Q m! n# p8 O/ Z. t% i6 H0 J' A
let new 09 ^# o& k& u; y8 ?/ j' m& ^: z% G
;;暂存新的一个全局声誉
! O) E2 f, P1 [2 Clet i 0
- z9 k" p- r8 P' S' Flet sum-money 07 W: _% F+ h, v* {$ M/ j9 S! h
let credibility-money 0
+ d- a/ ]; r- r3 q& Kwhile [i < people]
6 z8 i1 F/ f0 r9 {$ W+ h5 d7 ][1 d( d7 T% ?' |) T3 D
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
! I2 M# T3 y( d2 W* g" R3 sset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
% P3 k0 d- N& @1 H' I% r1 Iset i (i + 1)
. A0 K: m2 l) k]+ ~8 P% ?4 s! v9 j
let k 0
" W: D* u7 J6 \9 [let new1 0
) E9 c! G6 l. C" d; rwhile [k < people]
$ T, I( s; v* Q/ r9 O) `[6 s5 f+ Y7 [" L
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)/ e, U9 Q0 v! H2 T: R
set k (k + 1), I6 N3 y0 M4 A6 w0 G" n0 G. R
]
5 S0 e9 E3 f$ G* \- K) Wset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
f" H- v1 e- q' aset global-reputation-list (replace-item j global-reputation-list new)" I2 E1 {0 e3 X. o
set j (j + 1)
+ V$ `4 Q' O" T5 u]
) i# x/ Y `( Send$ Z1 P0 Y% t* Y. e
' B8 V" O1 M1 F
, z; `' i* C: l8 l
3 Y- @. Y- F) W' s, o4 `to get-color
# f- w3 L+ M7 q3 o3 {3 h% E' j" t2 D4 k: C1 R. f0 ~. T
set color blue6 B, T9 m- n% l5 u8 v6 c* Z0 D
end. {3 _( Y8 e3 N4 C3 j7 n
% E5 Y x% J t9 P7 `to poll-class
$ B! \; H4 ~6 a Send# @3 i1 ~, }6 |& l
) a% I. N+ |8 z) ~+ Z3 n
to setup-plot12 r; B) n: ~; f/ j4 W I; G2 N
) n. \" v( N# A0 F& y) W! Aset-current-plot "Trends-of-Local-reputation"
$ j3 E2 l y! u8 i0 H/ r: k/ J, }& F, p+ _
set-plot-x-range 0 xmax; o) W4 v8 h6 _
7 e" H4 n! _9 I- g/ Q# X
set-plot-y-range 0.0 ymax1 {. Z' u6 T! V: R: N3 }
end: N: S- j2 i& Y( J# n
0 S0 z8 S. h" w3 M) uto setup-plot2
, y5 K+ o2 n# F$ v4 }2 ]5 ^2 y/ w$ B- K' e' B8 L
set-current-plot "Trends-of-global-reputation"
( H, _' Z9 g! F- `+ d5 I* ?" t
1 Y1 m& V+ Y; z( C. B4 Z. h" oset-plot-x-range 0 xmax
6 Z! Y+ S. m2 e1 Z, D+ Q( O6 k% t0 t
# Q& G' o$ |: V# e" hset-plot-y-range 0.0 ymax
8 Q# i4 P3 n8 v0 e% N6 d0 }end) g/ R( m1 j+ H
6 j1 T: O% r6 A( X0 ]. C/ g
to setup-plot3- N2 h M# g9 e) u( I' K
5 t% u% t: ^1 ]' U1 q. d
set-current-plot "Trends-of-credibility"
* R5 v$ U# U, o0 \2 s! N& B
) C4 A$ S/ s, O7 E* bset-plot-x-range 0 xmax; f6 A9 y8 _7 \0 k6 ^0 q6 T
0 Y3 r7 p) x! t" g' v
set-plot-y-range 0.0 ymax+ x. I% _/ z6 K6 j9 ^0 {
end! R. E5 S0 K* D- {) z+ V( D8 s1 y
3 M" K; X: j) f) E5 B/ r
to do-plots" V3 L2 g2 U$ N+ @% x/ A5 z
set-current-plot "Trends-of-Local-reputation"
8 B" m" _) g3 H5 ~- O, Hset-current-plot-pen "Honest service"
) l9 J2 h: ~! m) {! N9 wend
. z& R) h6 ^- \+ I3 V
$ F. |, h2 C$ |[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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