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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
: o$ \+ w: o7 W% h$ t9 M& Eglobals[8 N0 w" _; U8 U3 }; J! |
xmax9 c( |- D2 R) |* i" y
ymax0 H) w9 L4 z9 }6 K! `8 m
global-reputation-list4 E! ?8 e Y. O9 e: A
$ F8 Y9 G% m6 S$ q# v
;;每一个turtle的全局声誉都存在此LIST中: R. q2 d& |& e$ j4 S
credibility-list
7 I/ I! b1 X: F4 U+ n8 @& H( L;;每一个turtle的评价可信度% q: I7 M* P/ s6 t
honest-service
- {. U/ ], B% F6 F' |unhonest-service' z" V4 V6 c$ I; R9 Z
oscillation/ p: _- d- _6 R) d* o; }" L
rand-dynamic
6 g% @; r; E T" []# `: \9 @0 ~& ]9 r. W1 p4 J
6 N; [, N* l+ n. F$ i( v, {
turtles-own[% }4 M: T, e2 Z# ?8 q
trade-record-all
0 G: h& p6 K% K3 I$ P;;a list of lists,由trade-record-one组成
; U/ i8 ~6 k: W& ~$ J6 ]trade-record-one
) [" H6 W+ K, M- A3 a2 b4 v2 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+ u8 t7 ?3 _& }' U5 P4 u
# D& g- k+ N7 K: F5 h9 ~3 D
;;[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]]
6 D) @% L+ U: E& C% a: `$ N5 y( \( Xtrade-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]
! l7 v' ]6 O+ B3 ~8 Ccredibility-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list7 U' N, D2 h4 O6 d0 N
neighbor-total2 p/ x* [" L, a0 |& f( s
;;记录该turtle的邻居节点的数目
. ?0 N1 o- n( Y0 d, ~: x: etrade-time
6 p2 |/ z( d& m9 D2 G;;当前发生交易的turtle的交易时间 r* O) S0 [ v; M4 _1 d- M& I
appraise-give1 s1 A2 B [; i/ ]0 V6 A
;;当前发生交易时给出的评价
$ l3 `* o4 o0 C8 H+ m& `appraise-receive* c$ Q/ z" Y9 `( p% m( x
;;当前发生交易时收到的评价% F: z( w. ^' C% h
appraise-time9 z0 F# V! M' I+ K! J
;;当前发生交易时的评价时间( m5 E! q4 x( I' Y+ q+ M2 J3 v
local-reputation-now;;此次交易后相对于对方turtle的局部声誉3 b& m2 I8 I6 U% u( i0 _0 p
trade-times-total6 y. P7 J" O6 a1 W: a( W% @( d2 k
;;与当前turtle的交易总次数3 x" c1 d# V% K0 J
trade-money-total7 k% f3 D9 y7 E
;;与当前turtle的交易总金额& b$ y# b5 x' Y& n. [
local-reputation
. y G7 Y0 z1 Uglobal-reputation; W" O+ S& Y7 r5 t; d
credibility
+ O( G* G6 V$ S$ D2 ^9 }# }1 e;;评价可信度,每次交易后都需要更新
9 n* I& A) w* k x* _$ Bcredibility-all
3 i3 I4 Z0 ]* p8 }, M;;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
# H" l) @# V: e8 M/ ^- f( d
) F+ i5 }+ B( x9 a;;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
6 i4 L4 q9 a& e, ucredibility-one2 r, \+ h4 g6 e) d
;;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
* `7 i; K( J! }/ p- a* ?5 m. a8 T8 xglobal-proportion
- F2 y8 U5 k; w" y B: }9 ^" Ucustomer
6 U; R: s6 w' lcustomer-no; T7 }$ a; O0 a+ M4 }0 M% J8 `
trust-ok4 h1 T1 g/ a6 h
trade-record-one-len;;trade-record-one的长度, @) Y4 f' h- r, ?8 p+ G3 Z" Q8 g) d
]
' N+ G: l3 D$ O) a/ Y) G
' z% W1 N& @& M9 `! k& J;;setup procedure4 m/ z. [; `+ `+ E
% M' f5 C- Y8 i3 u
to setup1 R- Z5 C6 B: C! @# J/ F3 s
7 i5 q% i3 ]5 U2 j) U% \& p9 Nca
) w3 i/ b2 h( ^' Z" [# v7 b. n; `8 _3 ^7 G
initialize-settings
: p; c8 }* R! U% `- A6 T0 e6 R. O! w9 x# z& {( B. F
crt people [setup-turtles]
+ y9 X1 @- N$ h2 G, c* Z# `
; C, B' ] x* Z" ~ greset-timer
# U( _! N$ V; j# V( ~# ]; I8 b" @: K9 T' E( \' U
poll-class* E9 H# H9 V4 \. `) g# D' M. u
6 r) g7 K# y' _6 L# q; F, r( b
setup-plots
) H9 ]5 n7 V3 u" L) F, K" l9 @% J% ?( C* @) X6 w- u
do-plots+ |; @$ e' }* y! e3 j' P. O0 r% H
end: e! d( F& u) |0 M
0 c- G% P) C$ M2 T2 C; }5 D; \to initialize-settings
" I5 f' ~- H8 m$ i$ @$ N0 I8 I2 d# p
9 o( }3 ^7 w- r8 o8 h9 n( K* @set global-reputation-list []
& Z E+ z i' M: b1 x0 ?( ^" t3 l6 E( B2 E+ b7 x
set credibility-list n-values people [0.5]
# q% K% p4 t1 h o
# ^4 Z/ R% ~3 p7 e: n" ~set honest-service 0
1 Q4 X$ l+ Z9 P9 J8 S0 n
; }, t" @0 G% o; v+ O% ~( s2 vset unhonest-service 0) q5 a/ ]' p8 r( [; Z, R( {( E0 K
' ~ ?7 ?* n" }set oscillation 0
, G3 K0 x0 i9 q5 X: H: _' F5 K% u% c! m
set rand-dynamic 0
" _$ {1 u5 m& e. _& Z9 \6 rend
2 b. l& b$ l) v1 z5 W L5 Z
# R/ b1 A( l1 i8 ?+ t4 yto setup-turtles ) r+ o9 o& o8 B. \' m" W8 t
set shape "person"* B4 n+ U& Z- N, i/ h! n
setxy random-xcor random-ycor s) u, b2 p) r% W. e0 [
set trade-record-one [], Y' m3 ]! \0 [- d7 t; \0 z
( D: q0 K* Q3 |4 R2 E U
set trade-record-all n-values people [(list (? + 1) 0 0)] ' A" R7 L& B$ a1 m9 b" Q( `
4 ^+ G( r2 G; D* C1 w1 [1 F% D5 Wset trade-record-current []
; {4 H9 G0 X) g1 M4 y6 {9 z; C: cset credibility-receive []- a/ Y7 @7 P, q! [
set local-reputation 0.5, `1 ]6 n2 ]* }+ [1 k" v- E8 d
set neighbor-total 01 V+ Z, I# _# n1 k
set trade-times-total 07 [6 ]4 o, ^1 V( L
set trade-money-total 0
& a2 l9 y+ [) Q$ y, kset customer nobody
& j% V! z; F+ J* F8 V' C9 Sset credibility-all n-values people [creat-credibility], `7 g& A+ [5 t" @) I
set credibility n-values people [-1]9 j/ K; V' F8 t# @: F; `$ L- M3 ~
get-color
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& H% p& R. G) E' Q1 x3 |end9 K- B: z1 A/ ]6 }5 i* N8 V
- |+ P0 q5 R* ?0 R4 V8 Z! P; b; ^
to-report creat-credibility
( d9 F4 z' Y% ?2 n( w% xreport n-values people [0.5]9 }- i! C, M% u% U; H6 w2 g
end+ H- Q8 J! p7 u$ r1 R# `% C% Y
8 s# k: I6 P. ?0 h1 k3 V0 Y
to setup-plots+ ?: V! B1 `# L) I, r
4 [. V( |1 |) u0 ]set xmax 30& G6 p% N, X8 ?0 P
: d: C# w% n+ \7 n3 @- V
set ymax 1.0- g0 Q ]) z3 R; b T7 O0 y
: w/ b7 {9 w" X( A
clear-all-plots
. k( C! b0 d' l; u3 H, l# E' e3 i8 a* ?2 t2 M
setup-plot1
) k5 V: s. i. G, v2 {7 D) ~6 y- ?/ E ?9 s% I- T( i
setup-plot2
: d4 s6 s1 t+ X3 ]6 _5 i
0 g; W! F( F3 \6 p1 c- S6 P- u2 vsetup-plot3
. x. R% Q% c6 K1 Z6 o) uend
]6 A) m; r- b3 m9 D1 g/ |1 ? ^: a9 r& U0 N* L
;;run time procedures
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4 c6 d' f3 H+ ~to go9 X1 w2 D1 J! M8 I2 `
% h( k8 T6 w# V8 Z
ask turtles [do-business]
# o; l {9 ? G0 ]& Z! v4 A+ ?4 }end
d( R0 i J- I3 f8 \# M ^4 I
* c# x) ]: t7 x1 n1 V% P" rto do-business
: e) U' ~, ?7 Y/ B! ]6 h2 M
5 |! X* {" B* T/ c5 \
I8 V( U/ ^! z3 j4 zrt random 3606 U- B3 S- p* c" s; v, b. s4 ^
7 X9 Q, j. S" m/ a( w' L. Vfd 1
' y' W- ]. s# N. s- j
3 f: C! n8 u! H, Nifelse(other turtles-here != nobody)[. }' Z1 M8 Y( c( v \/ e' n
+ R1 s# ?4 b! y5 jset customer one-of other turtles-here
$ ^+ O1 U/ k& s F( s
6 ]5 J1 D0 K, g& g' i$ U;; set [customer] of customer myself( r% q& R/ @7 K) R B$ W
, L3 L' V- _! ~& E
set [trade-record-one] of self item (([who] of customer) - 1)/ g4 o6 j, Y; J; K9 W* [
[trade-record-all]of self
( O0 q* m8 |; d* e;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
6 I. J, ?) ~9 {% z. G
9 ^1 F" g1 f- V/ bset [trade-record-one] of customer item (([who] of self) - 1), E6 f4 S. I, k% w1 V
[trade-record-all]of customer
+ l L s6 _: v' U8 s: L& }+ t1 K7 g$ T/ O$ v: [ k; Q; i# @
set [trade-record-one-len] of self length [trade-record-one] of self) c* D4 K# }: S' \& q6 n
6 T% V! W# ?' X4 s1 gset trade-record-current( list (timer) (random money-upper-limit))
. N" s' W: E3 {% @1 A+ Q
) ~5 G8 H# }, n! G- Task self [do-trust]
/ e$ P- w8 M4 }8 w. G& @;;先求i对j的信任度
. p9 X! \, }' {3 p
) i8 X. h8 Y; m/ u0 P2 L) oif ([trust-ok] of self)
5 v* O$ S; s4 u/ z0 [1 p* T;;根据i对j的信任度来决定是否与j进行交易[
8 ~+ o Q$ G: a9 |3 X' w3 }! [ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
) `8 I; }2 j: K* W0 T* O. L, {4 n6 F5 }2 @( A" t
[6 Y. f: g$ P' b% s/ I$ v3 m
" ^, H/ L, |, ~$ w
do-trade% p* J2 U: e% m+ f
9 N3 u0 P3 |6 r: B0 hupdate-credibility-ijl
5 D2 E, e/ E6 K; x
' O. O1 y* ~5 w' uupdate-credibility-list( {$ M% K8 G2 g) M2 g
' |: X' s& q7 E9 H Q: \
( P3 L, v9 i! ^0 a4 m) s& Rupdate-global-reputation-list4 m8 T# y4 _: E" ?$ \
* z+ O. w/ X, }( |poll-class# T% w3 g# u" K) J; ^1 I6 A: P
# @0 O; o! n2 j$ ^9 @1 |, ?
get-color) x4 a# G" ~. y$ O
: p, M. K& o: f" j
]]
' ?3 P7 A3 [4 N! v+ @; r: `& T+ D( r( ]9 {5 f
;;如果所得的信任度满足条件,则进行交易
; t0 O( _' b7 N W
% L) d9 N+ `4 N) r[
# S& a7 l# s5 r' F& I; M
; Z0 X0 v) a, _" L0 frt random 360- J6 c+ F# V2 V/ T8 j1 {
* Q' k3 N( Z" o- K$ F: f7 ffd 1
) S: c2 ?3 Y( U- K' A$ L) `+ h# B* |% E# ?3 u7 f
]
8 R5 p7 ]2 @9 n2 i
# c9 ~( N! N* n( I4 C9 send
5 m; W, @! F0 l. e8 z
0 L, b1 G6 R4 hto do-trust
/ [" `2 u: M/ Z% Y) nset trust-ok False6 X! V4 e0 v' N+ L* Z' p
8 \) I. e( V0 B
6 d1 {* }/ k* O' d! H2 xlet max-trade-times 0
8 @* c" N: x J( y/ C# Iforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]& j3 y" B+ M, D( I# r
let max-trade-money 0
$ X# k% |$ F9 C1 K; eforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]; I7 @+ L [+ K1 ~6 e* K3 W' L
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money)): p2 S6 \0 N9 ?3 Y
4 g4 Q# A8 E$ `' H* ]0 t, [+ v" j: r- D9 ] W
get-global-proportion
* X D, `! p6 elet trust-value4 o& s: z$ L" v! R% O, g1 c- s
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)
2 v# ^: U7 e8 a# Uif(trust-value > trade-trust-value)
$ k( P# N3 T; L. z' x1 ~5 x[set trust-ok true]" k" S" S# `' V( W# m
end; P0 ^. v! `2 | h9 D u/ k
/ K2 |: q6 n: _3 C2 Z; _% ` P* N
to get-global-proportion
' K# D/ i" I. W/ l& t9 g5 `ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
1 o$ o* `' i' o+ }[set global-proportion 0]
. c5 J9 Y( ?. \, d6 x[let i 0/ ~) a/ i- @ h# o* ?# h
let sum-money 0: c7 S8 Z7 P# ]
while[ i < people]( ^( x" \7 Y9 n4 o0 l/ k$ g7 t
[
. y8 z* h3 n3 K; y5 t+ k2 kif( length (item i
$ G# i _5 \ q[trade-record-all] of customer) > 3 )( E, A6 Z" m9 @& ?! L( S
[- z) B$ I$ ~- x" k) _# J
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))' p+ |: c' A7 `+ z( h) I
]
8 O+ Y O {9 b8 E] S2 c( w+ W- T m8 b L& |- r
let j 0
, E/ q# p6 Z0 V6 B8 r9 {let note 0
6 @" h7 ]6 W" H0 Nwhile[ j < people]
0 v' M# T' ] Y% v' o[! j9 a+ |/ i- _5 D& ?* J
if( length (item i) b1 m- ^! z& L/ K; N0 q2 W
[trade-record-all] of customer) > 3 )- u! D% Y5 M" G) [) e& e& _; I
[
7 j8 { N8 ~4 l5 w# M, Vifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
) |$ X& i" f( [4 b# [. @[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
2 ]/ x. \. Z: g, |6 G$ Z[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]( @9 S4 U$ @0 U- {& E6 m
]% L7 O, I( Z, d1 c% R
]
2 m6 f* w; l$ A+ K4 c0 _3 Qset global-proportion note
1 _+ s0 g. P% Q: u. d: @6 E]
- A, E" r; s" R5 yend% L8 r7 _( U/ ?% s
( a0 o: J9 O4 { R/ O9 y# p# l
to do-trade
6 ]7 B- \6 @# O( D$ M# n" f2 v;;这个过程实际上是给双方作出评价的过程/ o- S3 d+ Q3 J \2 o
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价7 B; i2 {$ {9 J! Z) k
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价4 X* ?9 \4 e1 J' y9 X" A* S" Y, }" O
set trade-record-current lput(timer) trade-record-current$ |( H: I+ Z9 S; K- R
;;评价时间
/ b( G8 T* h/ X8 h: vask myself [
* j, u5 c# r9 ]# r& ?8 v+ k; `update-local-reputation
* P6 M7 I. C0 |6 H9 G; B3 C% B& aset trade-record-current lput([local-reputation] of myself) trade-record-current
& P4 u {# f, _) ^) h k]" N6 M/ k5 L5 z; p
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
' p) a$ g3 I2 i. V. S$ X;;将此次交易的记录加入到trade-record-one中
6 N! B0 U* t% nset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself): y! c. S8 o. ]3 [5 D3 j1 E
let note (item 2 trade-record-current )+ `: n5 p: J' x. I X
set trade-record-current( H: t3 v6 L3 z# Y+ L& ^
(replace-item 2 trade-record-current (item 3 trade-record-current))
3 ]9 c8 x3 v* E) I; Bset trade-record-current
, ~6 B9 F! K9 ~2 `& X4 b+ N(replace-item 3 trade-record-current note)' Z# ~' \% W' x) y' }
- V/ |/ v) x9 W0 |: j, g% } X: j6 _; p; h! p. x
ask customer [$ U L E. N: a* w( L
update-local-reputation
5 a/ Q' x' w' e4 p; }4 V1 Zset trade-record-current) D- R) q6 |0 F7 Z5 ^ j1 B* @+ g4 e
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
" C3 {! m4 [. ?]
0 ?2 ]8 O; Y+ o+ X4 C* u9 K( a7 t Q- l) K3 g$ l
6 `' |2 ~) q; h) Z, i6 B) |set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
9 _4 ` r' j6 A. T( R( Q: a
( u0 \0 T; i6 \" Cset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
( B. b4 N* @# U. a4 n: U;;将此次交易的记录加入到customer的trade-record-all中& [) X5 s) S5 V3 y3 A, B: F
end
. O Q/ R/ a% B6 r1 ^4 s
- v7 r( c4 b; d5 Z0 M$ _" Fto update-local-reputation
0 ?5 x5 R- L0 Q' ~" K% l, U% U2 wset [trade-record-one-len] of myself length [trade-record-one] of myself& N2 F/ q2 D# F+ b
* b' Y5 b$ l, y; D4 s s4 ~3 ?5 H
;;if [trade-record-one-len] of myself > 3 $ ~0 ]# D- W1 i) @4 O# A
update-neighbor-total, b& K2 b, |8 Y4 b3 ]
;;更新邻居节点的数目,在此进行! X, R4 e- j: H9 ~- i& _
let i 35 L' X" ] c% z9 R. Q# F
let sum-time 0
0 N* s Q2 e9 E2 }while[i < [trade-record-one-len] of myself]
: `3 t4 s2 p% y) m' z- |[2 ~. _; y! c1 ~, w4 w$ n
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )% C/ I* `) P% Z8 n) ?6 ] g$ ~
set i
( l( @& U2 o$ B0 u( i + 1)
- j) Z% T; ^! o, c" R( c]( C# k' U9 v9 ?8 c- y& Y) K' u
let j 3
6 K p0 t/ E$ O2 p4 r; W$ x0 Wlet sum-money 0
7 h; C& K w7 t$ L* H" Awhile[j < [trade-record-one-len] of myself]4 ~. ], k8 S0 m6 w
[8 j4 N3 Y& j' m% \" l4 B& q) v3 E# B
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)
; h3 C; ^0 }, _: g2 i" eset j
9 z9 f0 N/ D2 z2 N( j + 1). u# m1 h5 A! }% S9 @
]. X: C0 S1 x7 E1 v8 t+ `: t
let k 3
) t Q/ F& O4 M+ d2 u, c% x2 Slet power 0/ N, K ]* K1 p9 G9 g6 N- D t$ o0 x
let local 0
, j- Y$ G$ ^. vwhile [k <[trade-record-one-len] of myself]
+ h4 i0 F4 O; N& W7 E2 K$ n[
4 L9 H+ U2 [# E; Yset 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)
3 x/ m, B, u" \8 U/ n6 N, J- b$ s) ^set k (k + 1)
) Y. C7 B1 I+ }]
. W) K- s8 w5 z: L4 r' p: x( t4 d, Oset [local-reputation] of myself (local)
2 z2 Q$ `0 }! e- G1 Nend* w( V! }% o2 W, R
, F% |0 m$ W9 X7 \) k/ X
to update-neighbor-total& d/ c3 [( b2 J! J0 v6 j
1 y# V7 V# O: w3 Z4 M
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]. W3 d% L' E7 ^
. Q4 P& e# B" F8 q1 B7 G9 g- p Y3 Z( I0 \ q, f% }: M
end
2 l: n8 h3 w8 A6 S
+ C2 |: Y: _3 d6 b* A0 I3 ]8 mto update-credibility-ijl
; }5 h. @8 E) m: `/ J ~& ?- x. W0 a; a; E
;;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: d/ [, g8 M, g: J$ Y6 N' Klet l 00 ] p8 U% F; Y
while[ l < people ]
$ Q7 ?0 L) z3 R0 ^2 }- w m6 f;;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- W8 E. Q; j1 Z3 z0 o. b
[5 ?1 | h# U& x* F o- }% e# @
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
7 m/ O0 T* z/ ]0 p+ s( z6 yif (trade-record-one-j-l-len > 3)
7 A" N% r: {: }. g[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
6 \; P1 |) \7 s6 z) F+ Klet i 3# s7 Z: ]6 C( ]
let sum-time 0! v- R$ @' z( ~; x% h
while[i < trade-record-one-len]8 J2 R8 N2 |* E: o$ y
[' V4 Z p6 J7 V1 L. x
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )! G- W% S- C1 q( V( n( `, r1 h
set i
6 x; M( g) a) O2 a: T U( i + 1)6 |& l/ T! G' V; w, A
]) q" D% v) @: z. a- ^( E3 ?* `
let credibility-i-j-l 0$ P. k9 X2 L! c S
;;i评价(j对jl的评价)) I( o+ B! B# F' r
let j 3& k* M! H. l$ t& `3 ^
let k 4
1 L! x5 L/ z+ l D- nwhile[j < trade-record-one-len]1 I t; c1 n# i% m9 _
[1 [' p# V5 _" J! F c
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) M* V" A, u" G
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)
" i8 A i! ]# Y0 v& g( H5 jset j
! B. S9 x+ t. f( j + 1)
* @8 v" ^" F( X, _8 v]
8 M9 b! `$ X5 i( n$ O! n0 ~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 ))# b9 \1 E3 W8 V0 I& W1 N4 D3 C
! e3 m/ ?$ ]2 L+ M
3 l% g- @- G% p, Wlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2)), B; o2 J5 y( s" T0 y8 q
;;及时更新i对l的评价质量的评价8 j) C! |5 F$ G. N" t% y
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]: q6 T2 a" g4 O& x( X$ ]
set l (l + 1) |% t5 N/ G6 F( B$ W' b
]
" N& j+ B% ]; lend$ {- ]1 O) G$ q E" C
: v. F* P% f/ W7 I' Pto update-credibility-list
- t, `6 h7 J, |7 k0 o0 X; Alet i 0
/ Y9 p8 {+ D1 o& H5 [: I- }* wwhile[i < people]! a) s6 R- r- o) y8 }' A. o4 a
[
# [' h8 v8 |( |+ c$ J# x* U0 B* E- Elet j 0
0 S9 L' |/ ?0 P& Slet note 0
( x4 ?3 n; z) n. h5 ylet k 0' |" D6 z1 W7 k/ S' M3 q: s
;;计作出过评价的邻居节点的数目2 p0 ?9 r5 B. _6 |! Q
while[j < people]9 T% {. C$ _; G
[- b$ E3 e E# h- t
if (item j( [credibility] of turtle (i + 1)) != -1)4 D1 O# G0 C' x" ~7 i8 X5 m
;;判断是否给本turtle的评价质量做出过评价的节点9 l% z8 a7 `) X2 }6 O( S( @ {7 t
[set note (note + item j ([credibility]of turtle (i + 1)))
+ ~2 D# w0 T/ n T+ q;;*(exp (-(people - 2)))/(people - 2))]
, c: y) N9 F4 g0 A3 X0 C" Wset k (k + 1)
# e. i- Y; t7 t, t% i5 M]) }' d/ W- P, T+ V) L
set j (j + 1)& ^$ I o8 @6 s% U- U5 ]7 d* ?, D
]
' u0 S$ I5 d# p S- J Y4 ]set note (note *(exp (- (1 / k)))/ k)- \! g! g5 Y8 t9 k0 O- g
set credibility-list (replace-item i credibility-list note)
: w9 x" ^; Y/ B6 Fset i (i + 1)9 v% Y# n; T& J% Z6 i( @( f
]
0 M; c* k2 u; g3 s A5 y' J0 D, Bend
n; i7 \1 z+ w( \/ d0 V0 `' r( Q! ]+ ~6 t" p* C
to update-global-reputation-list7 \: k* w0 Y% ^ O5 d
let j 0* i1 j# C, `0 p+ ? S# ?& C1 s( P
while[j < people]
K( o7 E; B7 u" M" R! D[
. A1 B4 g. |; o8 Y. s. p3 S5 r% Alet new 0
( q) W& F; L1 ]0 ~;;暂存新的一个全局声誉, A: y1 r$ D$ v! F, p9 J
let i 0- I, G m% ^9 x
let sum-money 0
# {1 o" p. W+ `1 {let credibility-money 0
+ C) u1 c8 Z: Zwhile [i < people]( t$ J+ U6 q( F t
[0 A1 [! d+ V& t9 h5 _
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
- Y) n/ r9 ]6 l6 o1 _( E+ Cset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))5 ?0 n' z" C \
set i (i + 1)
8 `" Q) A8 p" `1 k]
9 ]! ^% l4 [0 L9 n0 R& X/ y6 rlet k 0
: d: X+ ^8 W. |! I9 ^6 {let new1 09 y! O2 n% R6 e) ?
while [k < people]/ s4 B+ N" H* b- q8 ^) D
[( `1 |# b* t, m: o$ Z3 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)
. [% W4 E% w3 {3 ]set k (k + 1)
3 r. E0 |0 ?- L O0 |8 C, G% c2 p]
: K/ Q+ h' t) r$ ~) H. D1 zset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
& d1 P0 L ~# p/ x! Kset global-reputation-list (replace-item j global-reputation-list new)
% i. {4 O; k, E. xset j (j + 1)
& B1 D. ]( I, F7 d! s7 w]
: j# r% _9 a$ M$ Yend
) [ I. U0 \8 Q3 R" ]' A# D# K" T+ D2 p
" A9 _& Q2 } N3 y4 Z
! [! q. P, o3 T; u7 o" k$ x. H7 l1 ~
to get-color
8 a" r# H ?: Y2 i# K
4 A6 v4 \7 g- G" V- |6 y6 o: Nset color blue
( l' F ^9 w# a( dend. X0 G# ^, f# V6 Y7 P" n
( S+ Y$ T, J3 t
to poll-class
" | \# u2 }% G: Uend
8 I, z0 @) {: o( w5 H' C" r6 X' m. X) |( s3 o* G( s5 D
to setup-plot1) k! w7 } L( g/ N7 k
2 p# Z/ R% }6 v
set-current-plot "Trends-of-Local-reputation"
4 q8 a, w% R! V+ g6 t' H! Z% q6 t4 _; c( |5 k. Q1 U' A/ t6 @# z
set-plot-x-range 0 xmax4 L# R9 o# E& f) K! i4 l4 Z& f
" x# q7 X9 |$ z+ [' {set-plot-y-range 0.0 ymax
) r: z" W, I2 Q, ?6 v# Dend3 Y- E3 ~. k5 ^' r. l
2 W6 V* Z, B0 _- L
to setup-plot2
8 I) _1 ]3 V `. R8 a9 h
& z2 a2 c8 D" z2 x |* `# I2 C: vset-current-plot "Trends-of-global-reputation"
! ~3 ]1 M+ _; P$ v6 a( f7 Z( _( G
; Q: g' C' L. [% d+ X0 C* k. G9 dset-plot-x-range 0 xmax4 _9 p' i6 ?$ m. q
' q: O3 P% I, V4 i K; H' W
set-plot-y-range 0.0 ymax; g1 L" a) Q9 m: |9 B# Z, _7 f
end, \" k6 }, b* \+ @) V. p+ Z( L9 i/ D; X
1 v1 C- c" V+ I3 M+ ^4 jto setup-plot30 N8 C2 L8 A: p, Y' ^
8 j4 r8 I1 h) X, \- y% J2 L
set-current-plot "Trends-of-credibility"8 D( g5 K. U) [3 j
; U' z4 q% N* m
set-plot-x-range 0 xmax
5 \$ A) T) r" w* `# Y
% o) y- _: q/ a9 h; {* }set-plot-y-range 0.0 ymax
5 I8 N0 y! l7 @; z! Fend9 R7 {) B* ]; W0 o& p
& b9 A3 R, a( c4 V4 q- nto do-plots
( d) [$ q* e$ W8 w/ L( Gset-current-plot "Trends-of-Local-reputation"
1 A' ~$ [: H/ F2 [set-current-plot-pen "Honest service"/ Y: ~* w! J' v
end
8 A1 W) N% \4 b% x0 r2 `3 m- [" c2 a- ^! i; ]
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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