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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( _2 @& {; f+ W# R: j" ? fglobals[$ ^: N" r7 e/ R! f' c. s$ n
xmax$ N" k9 ]5 X' S/ G6 Z/ o, A2 C9 S
ymax4 i* V2 K# C% i
global-reputation-list
! x( e% |8 h" X+ s8 I- P2 K! L0 _! C* R0 l9 d( w
;;每一个turtle的全局声誉都存在此LIST中: d2 i5 A5 e8 Z7 ~" r) y. V
credibility-list/ o) y3 z% y3 Q0 ^3 r( d
;;每一个turtle的评价可信度
8 ~* }& C: m- y; q( thonest-service
: ?$ V, M' ]9 wunhonest-service% e. X7 H6 ~/ r
oscillation& a; I( D; L# m( X _; U O
rand-dynamic) ]) a: |- {3 w; T% k
]
! V' y0 U, o& z$ [4 K* P% o/ ]) }1 A# l, E. W/ P
turtles-own[
& s7 Z4 C* R vtrade-record-all5 |+ w7 O$ C3 k* t: Q! v$ s- k. C
;;a list of lists,由trade-record-one组成1 G+ @/ X* p0 U" f1 ?3 D. |
trade-record-one! |- R6 o* y9 W" w9 d8 D9 b
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录; r( S* {) F; J
$ T$ n l- i! u% t. T) ]: \" w# C;;[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]]5 i) o. g: V& s% Q3 c
trade-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]
1 H" p+ O$ P0 {7 X ycredibility-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
- R2 K& e) F2 b hneighbor-total
# B5 y* n* H2 U;;记录该turtle的邻居节点的数目
3 w, v$ o$ l3 Z7 v9 _trade-time
% G: |# y" B& d+ e" I9 C( `* @;;当前发生交易的turtle的交易时间
6 Z4 h4 n" A$ a1 {- Kappraise-give
5 b7 d& Z) H+ l1 U" }/ ^;;当前发生交易时给出的评价+ D% d6 x* p2 S7 n I
appraise-receive
* S( y3 Q& @. D4 P0 x8 O;;当前发生交易时收到的评价4 T# T6 Z0 C+ g) \
appraise-time
" f& ?9 K( \) e5 |4 l5 O5 h. S;;当前发生交易时的评价时间$ u( J& b6 z0 s0 c/ X
local-reputation-now;;此次交易后相对于对方turtle的局部声誉3 |; P) _4 q {6 u M& l) L
trade-times-total9 d" l2 G, d2 U. a( v Y- _
;;与当前turtle的交易总次数
) }1 o: ] T0 @8 V$ q1 H& vtrade-money-total
2 A( y/ @" c; O& _$ T6 V4 I4 Y;;与当前turtle的交易总金额$ D* A4 ^, Y0 ~; a3 l& ]" @- Z
local-reputation7 Y. W4 F/ V6 g0 U) E: [' Z+ I* i
global-reputation
& Z* h) a: Q* }( ~1 P1 ?) Hcredibility
# Q: } z' x+ }; ^' F1 G8 O( Z& K;;评价可信度,每次交易后都需要更新; J) q8 ]! C- ^$ }
credibility-all& n" t) [3 C$ [+ i' 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* C/ G# i7 o2 u) {* T2 ^; Z
0 q9 d5 y0 e$ V7 G# }* [, m0 S1 v;;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
( d1 _- w. s; w* y, B5 K: m pcredibility-one
, \' n1 r/ k9 R0 a6 J# u7 N;;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
+ x& E+ }# ^, B4 R7 ]" Aglobal-proportion
) R' G5 l- B7 l# k: u) bcustomer3 U- l9 W- ?! \$ w
customer-no
, ?" O8 z; a0 |$ d& Wtrust-ok5 B/ I% q2 a" b7 C
trade-record-one-len;;trade-record-one的长度
/ L0 m9 p2 [- v7 n* G0 H/ M& ~( ~- v]" S* I9 a- H* g. K* P) I p
4 e& h) A% L) S6 o$ B
;;setup procedure
$ v U& F5 q/ x6 S8 m
3 z( L8 j0 f$ B: Y8 ato setup4 r' d3 \9 E/ E/ \
5 v8 d) W9 D/ Q+ H% g/ U
ca' X) Q- V1 n6 B( q |4 v: k
* u) _2 v; J+ z7 s3 O( oinitialize-settings
4 d z9 E: S; ~( m9 J( e- a2 Z0 |1 G- V) {+ b9 ~5 f. q |- I
crt people [setup-turtles]
0 X' M k8 \/ O O& e( o, e' k% {: S% P7 P
reset-timer0 s$ g! _' R: S8 i; k) M, g
" d2 B" I+ u- M' ^, P/ E7 [9 G5 `
poll-class
0 \! H) L5 `3 j) `7 I( [, t) Z* ]: q" f6 o
setup-plots$ f5 ^9 {% f' B s: ^ ]4 o" f
. O* o& B# U1 P6 k |& A9 d
do-plots
5 y) z$ C/ z" jend
. O; e/ N/ r- a& X. w. D4 H
7 b& A# l5 }5 v6 D% ?( l7 r- }to initialize-settings4 s/ C+ w' Y( u1 ~7 a F" c0 A1 C
0 s5 F2 U8 ?! _; F; M7 e6 Vset global-reputation-list []
; e2 z8 f. o' y" R k% u, s
& b& f1 l4 l: S: H6 \. gset credibility-list n-values people [0.5]7 L& a3 b+ t0 ?4 {9 ?# N
# f$ E* J) ~/ {, M, n9 i- |set honest-service 03 R U. K) C% j. j
8 Y1 m. F. w# S2 D8 b% Q2 n: ~3 R' uset unhonest-service 04 y$ u4 e7 t1 B
5 H a3 N9 X+ ^. e4 ?
set oscillation 0
{ g! y; k- H% L( R: q
; D% N) v: f0 W% a. q) R% z! z, ?. W6 ^set rand-dynamic 0) a( g% w7 i6 x& y
end
" T0 x; i0 b& n1 O/ S) `8 _# |' q) K" G3 z# J' ~$ C X
to setup-turtles
, W" L5 q# A1 N) m% ^! j0 |set shape "person"4 R5 h! X+ t5 |6 d
setxy random-xcor random-ycor! H$ A8 H( `) M! x
set trade-record-one []
" `% h: j% N3 ?! I% T5 I7 ]& D# F9 _8 U' t+ T) f' c$ d' W& J
set trade-record-all n-values people [(list (? + 1) 0 0)] 0 L( O; H* r# L. z6 P! i* |* B
& V; ]: E4 V& K% n/ |
set trade-record-current []9 `) d0 C0 g5 r; R/ \
set credibility-receive []
! C5 p, P9 e# L) V' O% ^set local-reputation 0.5* i0 l0 z" c, c$ z
set neighbor-total 0
0 _& {! [3 O6 D+ r* m u- ~set trade-times-total 0
; z5 X& v5 b+ Fset trade-money-total 0
( a0 R4 R% X2 E$ v5 J7 kset customer nobody1 j1 {: F( u8 c+ }! A# ]" B' e
set credibility-all n-values people [creat-credibility]
" t0 h+ c, d2 I) N/ N/ K- o, O& c8 Jset credibility n-values people [-1], r# |2 P3 s9 f# q1 d, a1 H P
get-color) y& G8 M+ } v6 j$ I5 l
/ B" f/ c2 q. k3 p! V1 Zend, h+ p# c# L! @( _1 N
1 e# F) j! s9 i( C- A: b% r2 Mto-report creat-credibility
, u3 q% T9 M g3 x9 @8 qreport n-values people [0.5]
a1 l! n: b0 Z" nend2 s3 x! o- E- U9 ? h+ v( J
+ u$ ^6 S2 W6 ]/ x8 L
to setup-plots i1 G% v* I y2 x* u2 Q; ?
: J2 P5 P+ u7 A5 p kset xmax 30
+ s' p# H) m8 |# s; u4 T. F3 ^3 T2 t# K
set ymax 1.00 k& O( K/ a$ a& p: |* X+ |
& H7 P y! D: P
clear-all-plots
" W i; m1 b' [8 H: M1 I0 u# @" H. Q6 ~5 [ q8 J
setup-plot1' X' J! ?8 ]" n. P4 [9 d+ j
7 l# P% m* P5 }) u- ksetup-plot2 ^% h8 g4 N9 L( u2 s, O
, T1 W, r" d! y5 L- jsetup-plot3 P: ^3 \( S& f M) X
end
# N# e, [8 X/ U# M8 c9 v2 h8 J" E% ?, L& D; P; |5 K
;;run time procedures1 b! e( ~, Q C N
' z. V1 J7 y$ K* {( F
to go
/ e5 v0 d4 }9 y) s; p6 i( F
' I5 ^8 x2 p( b* g4 ?, J) vask turtles [do-business]: M4 Q A$ ^: @5 s" M
end: p/ s6 ~- W; V6 j: N
: x: L! p. e" b. f) o% d9 m6 J
to do-business
$ Q6 f+ `( \6 z! t$ _6 G: S2 A' W p7 ^2 A
5 E+ u4 [+ i! {6 P
rt random 3608 Y s7 ] H4 M; Y: ^! O
; c% \2 o) e- ufd 18 S& N/ n7 a% q, Z7 I5 E5 ]
7 ?+ w$ l1 f! i8 D
ifelse(other turtles-here != nobody)[+ }! B9 ^2 U2 I6 {7 i% \
5 ]9 z& z* @& r4 C' ^- ?( Y
set customer one-of other turtles-here
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2 [1 ]% X) s% x: y0 H;; set [customer] of customer myself
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set [trade-record-one] of self item (([who] of customer) - 1)& T8 v4 S2 S' S
[trade-record-all]of self
# g Z6 n: q! g3 v7 {/ Q;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self9 O# \$ l$ z) r4 x3 ~ g9 f9 W+ c
i' Y5 ~4 H3 L2 O; A2 @set [trade-record-one] of customer item (([who] of self) - 1)) S ? Q" Q9 t0 S9 w" k6 m
[trade-record-all]of customer# Q* X2 h d$ Z
6 H+ d, }( ~! Y9 A- p" |1 H4 G
set [trade-record-one-len] of self length [trade-record-one] of self
( p* s2 p$ H$ ?% _3 ?' n; e5 Q( s/ y! K4 i0 k
set trade-record-current( list (timer) (random money-upper-limit))
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ask self [do-trust]3 f# A0 f& a: J5 J- B- j( A& L
;;先求i对j的信任度6 r1 W# O7 L1 X4 A n9 e5 V
/ [$ N3 c) g( i" ]8 s
if ([trust-ok] of self)
9 ^' I1 l' F6 y( Z2 r;;根据i对j的信任度来决定是否与j进行交易[
- G/ J( f ]/ Kask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself- n2 g' C5 w& @* d* ?" F) F
, N) L/ ~ |2 J+ S
[
1 @2 q1 S) X& B2 J1 K+ p9 H1 G G$ _
do-trade) e. g: A, _$ }& x( B
& \+ g& ]) {6 H% t
update-credibility-ijl
! v) l5 ?2 N3 e$ O7 a( Q4 n/ _: ~% n6 u$ e: j0 p, F( o
update-credibility-list# g: y. Y8 r: W5 T+ o5 v
4 G+ E& U- `% h0 M9 R0 B" a6 Q
- w5 r: ?2 M3 E) ?* E7 o
update-global-reputation-list
3 _: W4 l: s6 e4 |4 s, _
+ t; K& j, ]5 v1 k* p9 F/ ipoll-class1 J- \0 _/ {) I$ \7 K# |; t
* H0 m' \) k0 w; Qget-color8 }, \3 O, {5 g2 t& M
l! z3 B* V h% U& Q0 S P]]8 l) i4 E+ r; w" L+ z) S1 w
+ X9 v" B5 ~0 r7 W2 Z
;;如果所得的信任度满足条件,则进行交易
: K" ]% j: n: R$ {. r
% @ |! N, ~& \# u[
- h" @' D' E/ e4 s2 v: ?
. t6 F- ^/ Y8 T3 K V% u& Ert random 360
x" D& f7 i, {6 [% w
1 E# W1 r S* c8 G8 z' Jfd 1
6 a1 I- [1 p) {8 \5 ]3 c
( Q! D% S2 |$ g3 r4 ?2 O/ H: h]
% l1 Y% t4 m- Z( t# q8 Z5 X% o# Q! B3 r: W
end P* i* k; c, \+ G' g. Q" F5 c7 J
/ `" D5 u* G5 v U( z6 D
to do-trust
5 u/ c1 z- D% L( Q wset trust-ok False
% X0 {3 h* K* s) l. B7 }
) @ j; B3 Y0 D, }$ G0 [
7 C* e5 @4 j2 b3 h( f+ wlet max-trade-times 0( w1 F5 u" c( y) {) l1 f% @! h
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
! Q/ [) G7 ~( G6 r+ u% plet max-trade-money 02 \/ M, [2 p( Q7 Q( r$ U8 G* y
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]7 f: h+ | Z/ Y4 ~) {
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))0 Z$ [) P+ ]- T' C7 j7 w7 K
/ r0 t. p/ @! F; W, }( k( f D3 z; \, y0 c( }7 f6 ?
get-global-proportion: `. P1 e( ^$ c
let trust-value! g j5 x6 Y) O2 M0 p( E: m* i
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)
4 ?0 _$ A% K" L- b0 N R- aif(trust-value > trade-trust-value)
4 ~ }3 e" i; D[set trust-ok true]& Q$ W' ]% ^; e, h' G( m; |' S% m
end# n4 Z6 T2 b( S& y4 y. u+ [
7 s- C7 |8 l0 r8 Lto get-global-proportion
% G* p/ T" A8 xifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
6 {4 i$ U6 o8 l[set global-proportion 0]0 W+ d5 D: u$ D
[let i 0
7 ~, M; `) ?2 D2 Z3 b9 hlet sum-money 0- E/ l1 k- E; h# m
while[ i < people]( q. Z, `7 B& M2 G/ h
[
0 i" O$ R. t0 ]5 Q. y; o/ h: zif( length (item i: S+ t, c: B/ s- L$ s+ }0 U
[trade-record-all] of customer) > 3 )! r% h; N3 Q2 P
[
, H6 o- E+ i( M( Hset sum-money (sum-money + item 2(item i [trade-record-all] of myself))) r! K' j: {. Q4 ~2 f/ @
] d0 q" j; d, R, V9 M
]& Z2 k* ]4 e- ~8 K
let j 0
& g; ^3 @7 ^+ N) ]7 @/ zlet note 0
- U+ b2 |0 B6 k: _+ |5 k$ s9 t+ Mwhile[ j < people]. b6 [& ~4 Z* Q
[- t) J, A& m6 q
if( length (item i5 y4 k( {: K% _% j- z {, @* R
[trade-record-all] of customer) > 3 )
" n- O1 v% Y0 O[
; K1 R: u+ i9 i- `ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
* g4 x% F% z2 y% N) N! X; ~4 U' e[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
9 D; b. O: e7 e2 L# S: ^[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]6 |: p+ w' N) ^; S2 \* B
]
4 d& M, a! x R+ b]
) ~8 d' O _+ _5 t9 `1 y; f. Iset global-proportion note
0 \4 g; I. K! J4 C]
- P) h: H& C- P4 nend
- E5 ?6 m! z5 D6 H5 {$ a! t7 g. {! L; X5 V2 L
to do-trade2 O3 B5 H2 E1 H
;;这个过程实际上是给双方作出评价的过程
9 M) ]1 m, S+ o3 jset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价2 ?% j! `0 z& J4 `# @" @# V9 k( q
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
6 M, Y3 {1 |6 |8 O, F/ V) Cset trade-record-current lput(timer) trade-record-current: u2 R5 A+ ~8 H7 m
;;评价时间% V9 C8 s! g; J
ask myself [) L) c6 K, [' I
update-local-reputation
6 F) W8 a$ u h8 z4 Tset trade-record-current lput([local-reputation] of myself) trade-record-current
' ^+ _' h% L: P# ]. R/ g& []
; f; e3 H( B8 ?' X \3 o: Bset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself2 M, }' x' s1 w$ Q( g4 r
;;将此次交易的记录加入到trade-record-one中
, n3 y' [$ t; d- C% b) M8 }set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
# T% S8 z" x |1 }) Glet note (item 2 trade-record-current )% `! {# A: u0 o0 p
set trade-record-current. H. @: q6 i6 l7 y' y1 {3 Q
(replace-item 2 trade-record-current (item 3 trade-record-current))
7 i# S% W2 ], O( T" [set trade-record-current
2 I! q" V$ {# N. G(replace-item 3 trade-record-current note)
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! {/ T/ b3 o; {5 _: U- r
/ v/ E& ~7 ]+ O4 J9 hask customer [/ P- C3 m' f1 i* ^; b t
update-local-reputation
" N0 A( ]6 g5 G' Mset trade-record-current, @# d% O) w# s6 ^. q9 _! H
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
& s+ N }, T& o( z' u) H( x% W]% N4 `8 l- H0 X' y2 o% z
8 X) B% I4 p: o% R
) y) c$ d# }3 b" S6 N( Cset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
; d3 ~/ \0 ^; O9 V
/ K+ W2 C/ K! u, i5 [set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
& P' G8 J8 ]1 F6 `;;将此次交易的记录加入到customer的trade-record-all中) K$ y, Y5 m) \+ L, _8 b
end
5 f0 {: c" r8 Z; q/ F" z0 t
, u4 c! h. ]6 I8 xto update-local-reputation
. B0 E4 l" J/ _- {+ i# Q G3 Wset [trade-record-one-len] of myself length [trade-record-one] of myself( w0 i" x/ ?: ^# W' H: P- d
# R8 V$ ]- z7 s4 Y3 f" L1 A
* D: o, J# l: [, Y" `& o
;;if [trade-record-one-len] of myself > 3 5 r0 `& f# g8 B1 F2 _9 c
update-neighbor-total/ l! a- T, _& z4 e% w! }
;;更新邻居节点的数目,在此进行
" b) W; ^) d A4 b1 Alet i 3. _4 g9 I+ \4 D2 ~$ C( l; b
let sum-time 0
: `( c/ B: _- V h5 cwhile[i < [trade-record-one-len] of myself] ?. n. h; S u7 m4 M8 B1 z
[
q P6 G% s( p& S _set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
7 w$ Z5 ]/ p/ A6 N1 _ E+ q+ vset i8 F6 c3 z" [7 @% `
( i + 1)
: P* Z* y t% }$ _/ e5 D) E7 M) r# @]6 M! X7 g0 q* T, _1 M4 a. j! o
let j 3
. [3 l- {1 W$ m' y/ h- M( |) u0 tlet sum-money 0' b! C7 X, P+ s2 v* j! B
while[j < [trade-record-one-len] of myself]
; e, q2 w1 ~8 R9 O( Y[
. I9 J! S9 t$ d% Tset 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* T( V% d0 w% d: n/ M" Q! Bset j y+ |4 o/ P! C" f" w" }
( j + 1)
# l5 s' V- ~% E- n% V; {0 O]" ~ v4 m* r) x* w: }1 j
let k 3
( \# G! L. X6 c" ~! _8 R5 L2 }let power 0
5 }/ _: @% O2 {5 b& m' U* ] qlet local 06 m( [1 Z( K% K' }2 ~5 }
while [k <[trade-record-one-len] of myself]
- q( I) y u8 [+ F% e. R! e+ S9 r2 M[
) V2 T. ?: E uset 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)
2 @- Q. y7 @4 n" n, \# {. Y. Z5 Wset k (k + 1)
) I6 Y ], {4 p]8 U0 k. w- h: I6 X' C6 t
set [local-reputation] of myself (local)
+ q1 j, @' d' Xend# N5 h, y4 C$ c0 s
& k2 z' k# ]) N% ^) g) D, H
to update-neighbor-total- Q* S ^0 l8 l6 M' L
2 ]" J! @; q9 Y' x( B1 O. I; t
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]8 K: T2 n1 S; A" i# D8 D+ D7 b
9 z. w% g" j1 i! @* u4 t$ _
1 H, t. c% G' Aend2 y4 x+ l5 @3 D: b: K& V* P3 s
" |" o, F* {( G. Z7 e+ @7 Pto update-credibility-ijl ' i6 P7 ^1 j4 }- D) W
5 ^- E% o+ Q# q h9 r6 {' I1 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。
. K+ a( G9 g1 ]. y, ?) L/ Ylet l 0
: `8 K4 W% {6 K: v4 p& vwhile[ l < people ]
0 m) n) v$ ^8 _;;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
: t! ^( R3 @; _[# v) H2 |( E+ x9 H5 I5 h
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
. H |; c5 z) k5 pif (trade-record-one-j-l-len > 3)! h2 b" T, y; F7 F
[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: a$ X/ Z H# Z
let i 35 f/ p; B/ K! L1 B. M7 b
let sum-time 0
/ y2 L- d! T: H3 ?, Bwhile[i < trade-record-one-len]7 `: N1 k: K; y: ? Y+ T
[
* V- L8 g3 j. j3 v$ _' A' G& Gset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) ) G7 l$ P4 X# v* i5 I0 z
set i" f0 [) Z8 J- a) v/ g
( i + 1). a; s, N1 {( J4 L$ A2 k+ i. S. b
]- C O8 {8 ?1 d3 X' h9 K
let credibility-i-j-l 0! l4 W2 c$ I, {$ r, @$ L
;;i评价(j对jl的评价)
7 k- ` `% g- r* T4 Rlet j 3
. T, ?* M5 l; Z& h- A! v: ~let k 4+ q5 H% m( m7 [6 K' I
while[j < trade-record-one-len]% X' M. H# `" L' P @% O
[
) v0 Q. O+ T3 \: V" 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
/ y- S4 y+ t5 M6 ]. tset 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)
1 X0 B4 G" n8 w5 m {set j& Z6 g, k% p. e( O$ E
( j + 1)
q, |4 S5 y$ ^$ ~]
; e! c) e6 l7 n# T* v$ @, P# q6 yset [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 ))
: x0 S2 t# O) w8 B. u5 M* r
' ^+ H2 T5 E3 {! U- w9 e' T* s/ ], m0 j. j9 ]. h
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))* y1 w2 f5 r% A5 t
;;及时更新i对l的评价质量的评价 N- s9 j/ f5 w& Z9 F
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]0 }; E1 @( o' c* j3 } i9 k& Y) m
set l (l + 1)2 B' \8 m2 S; O3 `; m% X2 m
]2 c: E x& e" X+ T C- g
end
" C) k+ k5 ?% ?9 [5 }
O7 ^& C# ?% v0 B7 D$ _to update-credibility-list
5 R! [7 r8 R: I1 T. M8 Y. alet i 00 @1 X9 V, T2 S
while[i < people], {. `' q6 r5 z# U
[1 [" H6 t: H+ u: J6 i
let j 0
5 n; C. ^6 S0 q# S, O' ~let note 0
! ~! B; f m4 P' plet k 0
1 d4 H' v% B' L9 k3 l: H;;计作出过评价的邻居节点的数目+ d9 I8 k3 l9 |
while[j < people]
/ ?) [/ F! L+ t[5 k) { u, J; H$ M) ^$ n5 \; }
if (item j( [credibility] of turtle (i + 1)) != -1)
2 [; J6 V5 W5 x;;判断是否给本turtle的评价质量做出过评价的节点
& Q5 ~& {' X+ d3 J# q[set note (note + item j ([credibility]of turtle (i + 1)))6 k( I* K0 k1 I. p* ?7 I! |6 U( P
;;*(exp (-(people - 2)))/(people - 2))]
2 N6 b" q, d- i1 `5 }! ~+ `7 `set k (k + 1); m) F {$ I( @ ?5 D9 T) F
]" k/ Y( K# C+ T
set j (j + 1), R, X( Q5 R; \& Z
]$ x! {3 z; ~/ o/ o/ v
set note (note *(exp (- (1 / k)))/ k)
8 F7 A. V2 O8 \4 b% jset credibility-list (replace-item i credibility-list note)- G5 s( {8 Q8 X6 C. s) V1 z
set i (i + 1), V9 O1 Y- w g8 q$ |
]
2 q3 h$ G, \/ W- [end
% c0 |7 C7 d% {, l
f- y2 {; I, ~% H3 R2 }1 L1 Gto update-global-reputation-list
: q. e( ?# F. Zlet j 0
) W5 u1 I1 V7 H0 d* i8 Y" H6 R4 Iwhile[j < people]& M8 N" B* H5 \) y( D
[
) d; r" ^3 C5 \' Mlet new 07 \2 K" B3 n C
;;暂存新的一个全局声誉
4 Z" ~) N w9 B0 plet i 0
# \- E& M/ u$ rlet sum-money 04 P8 g" ~. G: ~" @! c6 k
let credibility-money 0
9 t* C6 @" x" H2 F6 z! V3 g* U- {while [i < people]
: h, L @7 C. L9 J" w" k7 D1 C[% h' j9 A( k# H
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
8 W- m3 M' i4 M8 t: {9 zset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list)), [# b$ v% d/ S& }8 c9 m5 j: M
set i (i + 1)
# P: C7 F% z' O7 v. A( {) A]4 O+ M6 B- k. Z. k% r
let k 05 L; y c- C" D* d/ Z
let new1 0
' [( H! _. F2 ?3 kwhile [k < people]% V2 n, U" z, ?, {
[
2 G& T; q% C) ] L+ j5 [$ E2 Q6 z& j Mset 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) _$ f/ t) f- s
set k (k + 1)
+ l/ H' @- {6 [# `7 k# @]
/ t; c P \6 x- Y* o% T2 Z" _set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) * n) s; s& W4 L, z' t2 \, L
set global-reputation-list (replace-item j global-reputation-list new)/ s: {3 t% o" n" h2 o( `
set j (j + 1)
7 T1 p- r5 B0 y$ G$ o+ z* M+ |6 P]
# d+ [" Z" }3 _1 Dend
6 k6 y* p# ^ u2 S* v0 s+ s% i# G5 X* }, j' y- g
" m" P: p: {/ [* k: q2 v x7 Y1 \' \; D( k) Z
to get-color
2 p# I4 s! ^( Z6 G+ }9 o
1 A+ W- A, Q1 o1 ~9 ~1 e8 |- Yset color blue
% {2 C( C& H7 ]9 t4 d# t( oend5 v0 \; Q& J1 g! n. ^+ Y) X
; P' e% X3 \2 m# M9 ]
to poll-class0 z% u( v% e$ z! g) y
end( n! G& j7 p/ A0 ^7 E
/ Z/ K" Q2 h- r7 M3 @! L) vto setup-plot1
/ U9 n9 N: u, x W
6 x+ m3 P1 J6 J# xset-current-plot "Trends-of-Local-reputation"- N4 T0 E8 a4 n- p5 x( }8 @3 O
2 m$ ]4 {7 J. y# W
set-plot-x-range 0 xmax
. P+ Y4 p/ z3 C7 q1 j! o
, K" ~7 P: E, B# _9 U6 c/ Oset-plot-y-range 0.0 ymax
' t9 E( Y$ f8 J. y6 J' U' ]end
1 E. z- {4 W9 m. }% i5 a6 H3 \; h: i! u* E6 J. Y
to setup-plot2' o/ `, q6 _: i: T
: i2 P% [% H& Q$ r( Jset-current-plot "Trends-of-global-reputation"! E5 W6 M. l8 M4 W
- g; P. n. F5 X( d; Jset-plot-x-range 0 xmax" {. B# ]* N0 ?( F4 T
& _$ W5 N, U! Q( [: V. N0 B$ zset-plot-y-range 0.0 ymax
; x7 j1 P* r4 i1 n! T- T1 k; cend/ L' e* F% z1 w q
$ v% \* q G# m2 Y4 S0 J" D1 wto setup-plot3; v/ {0 B1 T0 y5 p4 B
) b: U, A% V. X5 J+ n8 ?
set-current-plot "Trends-of-credibility"
1 z$ b! e0 W& ? D: n J" k W, b/ v: k( T! |: t
set-plot-x-range 0 xmax. O$ L) T }3 h2 Z) ]; W- G/ l
* R) N- a9 y* r
set-plot-y-range 0.0 ymax
3 A/ m9 `& z2 x. z+ y' G2 nend# }& N* I& R/ f) z3 K0 \
5 A- X9 h5 r6 G4 _: t) o: Y
to do-plots
( q. P" c. n! Aset-current-plot "Trends-of-Local-reputation"
2 ^9 N+ g9 a9 m3 l6 ~+ P2 iset-current-plot-pen "Honest service"
4 T, j I" e4 s& vend+ J4 l5 N% N6 y F
: B5 h% \ b; P2 R9 p% B[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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