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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& V- L) W* q, [
globals[ D0 w/ a7 ^( f6 j* L
xmax
8 e7 F3 i- T+ k. ?$ }( r+ R9 Eymax! S! s0 I; S* B0 y6 @$ ~
global-reputation-list
c. f+ K- r$ N$ G
/ J0 K% y6 N; h;;每一个turtle的全局声誉都存在此LIST中
" r2 \) _$ p+ p- h; H: R$ n7 `credibility-list
; _* u- a& `# ]. z+ G;;每一个turtle的评价可信度
& G( z+ a& |+ H/ ~9 rhonest-service
, U- `9 [% r. D7 sunhonest-service
) h( X# P# }( Boscillation
( a( y$ n( p) [' C+ S: Frand-dynamic- ~$ r6 Q+ N- {" M0 S
]
' Q6 u& c& k0 }" s5 X% f' W. I
9 U1 J1 e7 n- j6 lturtles-own[! G- z$ n; X: r! @" R; D0 h
trade-record-all
; R1 O/ O x* t# R4 `;;a list of lists,由trade-record-one组成# O: c+ B3 Y- A- z
trade-record-one
9 g9 c' `" y+ E; y6 e" k;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
" ?0 e* w: L$ {# A: ~9 a9 p# x( E7 S! 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]]4 B8 a2 v5 O1 I& [, F
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]
4 |9 c" q0 N' J& Y+ Fcredibility-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
5 a6 d% u& O5 F" mneighbor-total
' ~+ \: q# _3 C& C8 H; v;;记录该turtle的邻居节点的数目5 E( c2 u8 F+ T! H! G4 V
trade-time
+ C4 I- j0 _/ o% @: A8 _7 T;;当前发生交易的turtle的交易时间
& x; c [# j+ Wappraise-give' o. s8 S `& n3 n; Q8 k: q
;;当前发生交易时给出的评价 F; f5 q. K- d
appraise-receive) a7 |' |" a' k1 ^
;;当前发生交易时收到的评价0 A3 K! F( ]& [& X
appraise-time
" J4 l+ p W) P/ ?; @4 b;;当前发生交易时的评价时间4 n! M! D9 ]3 g$ h; m; k
local-reputation-now;;此次交易后相对于对方turtle的局部声誉) K# x" R: q; w+ c) l, J$ x
trade-times-total
! s) t7 c' }- L- h8 X( O) m;;与当前turtle的交易总次数
" U5 h k( U' c+ n3 `trade-money-total
# @ ~- Z$ i4 q" h0 C5 V;;与当前turtle的交易总金额8 I5 E4 d1 R" S% Y) o2 ^
local-reputation
7 U9 z9 y' T0 }: m* xglobal-reputation4 F, w% v! f* m8 L) S
credibility1 r5 w1 W7 |6 q7 q$ M$ z
;;评价可信度,每次交易后都需要更新" q- b& e' [) x4 e1 I. w+ |
credibility-all9 V4 o5 O: U% z, z! Y) Q# Z( H
;;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* ?: [5 \ ?- S
/ w- M* L% `. D1 Z( g. H;;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0.51 l) p Y- S! ]7 O) v. N7 N. F- L
credibility-one
6 _1 p8 Q& \5 ?;;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0 s8 @, P# o' u6 i5 h0 E
global-proportion1 i. s- j L3 |9 S8 Y! h# {
customer
, W0 ]9 o* ?- D% v& u+ n+ fcustomer-no5 p! h8 b' X ?
trust-ok
0 L# C6 ?, U- n6 g% n/ @trade-record-one-len;;trade-record-one的长度% s8 P0 D+ F {& ]
]
; ^+ ?: r# Y% K2 t! v a2 v k9 v/ N2 y4 ]7 `4 x
;;setup procedure( B' u5 C4 n; H: E
x0 U' | t3 dto setup
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4 n0 f% G, j" f) k6 Jca0 R$ M9 B3 ^7 ^) L8 ^
! {+ p! p; `& ~( i J/ m6 {" e
initialize-settings4 C( T$ o- a5 ?& l
% R# U/ X, E2 v1 G- W
crt people [setup-turtles]
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- }- ?- L# \& d& breset-timer
# o3 r- ^, V1 O8 i% W- [' n
/ c. n) z7 l0 D* npoll-class/ ?1 J* K0 J0 q/ Y; @/ C
/ ^. J/ w3 W- t+ d
setup-plots
% c0 Z+ Q$ X5 E! U4 v
% D" P, v* d l5 D, `) C- ^do-plots
1 x% S" k( {# \! xend
$ K/ I, z5 L6 H9 @$ R( f a9 s# C( U8 s3 I% J" k' u
to initialize-settings
: {+ Q' w9 c) t. U0 J
& I* Y% Q1 a! t/ aset global-reputation-list []
: X# R3 O, A; t7 f4 n( h2 W% Z& j% B! V8 G% b; N( t( q
set credibility-list n-values people [0.5]
# W1 B, x& G& u, c* B% J. R
/ E1 }6 H! J8 g$ r1 I9 ~! d ^set honest-service 05 e3 |; }. L* q2 P2 Q
1 o- f9 j, w) w# J
set unhonest-service 06 T4 B5 M5 {3 n' t% n2 r2 v
: O: s0 I8 w2 i; ^. P
set oscillation 0( o3 Y; g O' D. t
) Z5 [6 q6 e8 rset rand-dynamic 0& t* c; y" V- h8 l
end
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to setup-turtles * v2 n: w: L9 ~- ?' f: X
set shape "person"
- ]& y) f4 B/ Y8 Esetxy random-xcor random-ycor- ~( l) @( R8 N. H; G
set trade-record-one []" O* k3 ^* [( h5 z+ J4 p
; |, U+ V7 R) l! ]$ s- W% Wset trade-record-all n-values people [(list (? + 1) 0 0)] 4 [+ ~# A% s! I+ j8 ^4 |* c; M
{& k0 z7 Y7 t$ b9 k0 c1 }' s
set trade-record-current []! ~: g; b; H# q7 L0 t
set credibility-receive []! J! p% r% s5 e$ n' B
set local-reputation 0.5
0 C: E. i3 ?9 _% p1 z% S5 dset neighbor-total 0
% A4 F7 c3 `0 V+ k* r: V- ~4 }; p' E/ qset trade-times-total 0
1 S7 S$ _0 ~" Oset trade-money-total 02 I7 W6 r) Y4 u) `9 F1 d' Q2 G
set customer nobody
6 w n G; B! R( B, qset credibility-all n-values people [creat-credibility]0 A* Q9 F8 V. h% m# C" F
set credibility n-values people [-1]
/ R6 T% f& g- D( G$ Sget-color
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end, n w% q; u7 H2 x% q E( u* B
+ @% w5 p% p8 W8 v
to-report creat-credibility! e( T3 o+ Q: q7 v" U
report n-values people [0.5]; Z8 l3 n- g n2 H8 |- S# g! w
end
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to setup-plots
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set xmax 308 Z8 X& r9 [& y5 r: ?
, u, v7 ~4 T& W+ t9 V
set ymax 1.0
) b# j) V$ w8 P- Z- |8 }* E! X( Z7 r; @; S
clear-all-plots
% Z8 ?: L& d+ l: U3 ?
' k, E! m% L8 K6 A9 Csetup-plot1& t$ Q' c _/ G/ `% u* U+ Z
4 ]6 K4 R* O+ S6 j% c
setup-plot2
, U8 t3 @' D2 ~0 h9 K
9 Q6 G: t7 A' E8 Q( o h2 O0 [setup-plot39 _1 s- r; Q- m
end
. I! I" Q! Z- u
0 K$ i9 _2 G% g- N- E0 Y;;run time procedures1 H- y. x2 u3 b# G' s6 Z
: w0 N R" ]+ R+ A
to go
# r( Y9 @3 s4 h) @+ t( \! e S8 {2 h& |
ask turtles [do-business]7 B& d6 u n8 u5 P
end @# p5 d0 d" Y
3 L$ f9 w! {. X0 P% e- R& \# Qto do-business
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6 L" I2 I; \5 M6 |- ^! u0 V- ?* x: c+ v5 q% j; t* c9 _' E* N
rt random 360. s$ R$ W" o2 y, |: i. Y1 l
4 _' m+ E. @# S6 f' E/ B
fd 1
6 y5 J/ Y8 [5 Y7 u
/ y% x# R5 Q6 ]& Fifelse(other turtles-here != nobody)[0 F+ z: S- ]( N1 O6 O |8 l5 C
4 s, f) s! F1 Z$ v+ t4 T
set customer one-of other turtles-here; _+ y$ o ?2 _( s
5 w- T6 |( H0 Y% v$ l7 Q; J;; set [customer] of customer myself& Q" ]& W) I& P& M9 Q: m
( ^9 [; j6 H; s% [7 [: c9 F
set [trade-record-one] of self item (([who] of customer) - 1)
( r. ~ I2 ], }[trade-record-all]of self
0 H- n( F& A2 u9 e: K;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self$ g& s9 i; E: e2 q( B
4 X: z. U4 t: X% x1 Qset [trade-record-one] of customer item (([who] of self) - 1)
6 `. p9 A6 z; z5 u8 n+ G5 u[trade-record-all]of customer
K6 O+ C& e1 I* @& T3 k* {6 m: N% C! O
set [trade-record-one-len] of self length [trade-record-one] of self7 g4 `# d! n) b3 |. I
3 N/ M8 R5 L2 I" u8 {" ~6 R6 Z
set trade-record-current( list (timer) (random money-upper-limit))- y+ H( W! ^( \; Y, B& O
, D; X' e- f! X6 D1 a: mask self [do-trust]) q1 [; n7 v7 z
;;先求i对j的信任度
' k# O* f5 i7 {& u7 o* t4 t7 J# x. w$ n- q( {3 w& C
if ([trust-ok] of self)
2 ?. P' X5 i7 }* Y;;根据i对j的信任度来决定是否与j进行交易[6 S) q/ `( A4 J+ A( S4 P% `
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself4 I$ G( c% ?% Z9 l, L+ D0 J" ^9 y' H
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[6 x {) x+ d: A9 X8 P- w. y
* y N2 S! W) p) N+ t% |% E# d$ N5 qdo-trade
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! O1 [0 K, M& [& a! N: Lupdate-credibility-ijl
) f8 k2 r+ W5 ]$ k! K
* W4 k# v6 A1 S; M: Fupdate-credibility-list, Y7 g- [+ _1 \% m( Z8 n- K& A- S
( O( G* u6 J) } q/ W' ^
" e. {# c, {0 h/ {; ?* ~3 x, O* @8 p
update-global-reputation-list' z6 a$ v w& Q5 R" {3 f4 q- B# L# w
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poll-class
; l* Z F; H! S7 V( y1 X& m/ [: `2 Z4 i( c6 a
get-color
C9 H6 c- ?, K* b" S# L( J. A& V' J% ^5 D- \
]]
8 L5 ~8 j+ t5 O6 Q7 t7 ^# }2 s, Y" r1 K, k( e" s
;;如果所得的信任度满足条件,则进行交易
7 B1 S1 M& i2 s0 T4 ?' A% j1 ^& R
[ }2 ]3 K/ H$ J; n& N& F
# X# p* G% i" D* z( `+ ?rt random 360$ u% M& S9 X! a4 z& g
! t* C& S, E7 Jfd 1" `: e0 X. G' Z
% d' t" @7 p6 F- Q5 n
]
+ C$ B6 V# Z7 F0 ]% D: k8 ]2 k& ]+ {' E* Y" A
end1 c9 n! t1 x& x9 V
' z& Y2 E. a1 q0 V; I7 Cto do-trust * ?$ ^1 k. Z2 M' D; O5 c9 T. L
set trust-ok False
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5 G6 H, g! P9 L% Q; h5 clet max-trade-times 0% A3 v' d2 ?/ F) x7 a" }2 _
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
t% i* E9 `/ q: tlet max-trade-money 0) P- A% e* E, {" `, X6 o( x; c
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]) ?1 _' ?" V5 o
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))6 w7 x1 I* m! H. l4 I0 x7 d3 N* H- ?1 ]
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7 J' y. n' ~$ F9 w, S7 x- m
get-global-proportion
- k% M- w" x4 a, K. clet trust-value
8 L* B3 g- r- Q5 @' Q, b2 M6 c$ |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)
6 i& z& Q7 F) O, @, Nif(trust-value > trade-trust-value)
% u7 O" Z9 h& S; B[set trust-ok true], C7 [% y" @' b# }% ]
end
( H$ y1 I$ s' J6 b5 V3 `: m& C/ P% l
6 c4 s7 q, O. M1 b5 ]7 Ito get-global-proportion
) u) Y) M: M4 q, S2 H5 ?$ i' x! }ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)5 F7 N5 e; v) W
[set global-proportion 0]
0 ?7 U& S8 H8 l& J[let i 0& b) {" y- l4 ?# U+ L2 U
let sum-money 0
5 P8 C( n6 l1 rwhile[ i < people]. u3 z: W" E; c' Z4 a6 u6 R; o
[
8 O2 }* w+ d+ a( L! h, f2 M7 uif( length (item i
3 \# i6 G8 ^% v4 G# e" ?4 f[trade-record-all] of customer) > 3 )* B1 t9 J0 t, E
[
+ t; j/ @( i' U6 ~9 Pset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
f' f6 P2 }+ S6 S& f* Y m]$ w+ d( Y. D& ]4 h
]% B5 E4 ]$ t1 p: g* @5 x
let j 0, y! w l* a6 A" _
let note 03 I4 d/ V( C( R' v L
while[ j < people]
% K. i/ A2 U/ |0 O _[8 @5 Y" n/ l; j) Q) t
if( length (item i2 m; ^" {* F5 N, [# T
[trade-record-all] of customer) > 3 )' u2 i8 ^* g) Y7 J) E( O
[* w# \: o* u f5 f1 w1 K# c
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)/ L7 d* A8 e2 ~9 v8 r; A" M
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]) ~6 z3 P) i4 {1 Z" {$ b4 X
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
L$ x2 J9 c# F4 _. q]' Q$ {9 c9 Y5 `
]6 L( A8 q( E3 B( I& g
set global-proportion note
3 t% E. m/ c2 O$ z _3 V' _7 @]
8 \9 L6 z. s3 ]9 x1 o0 Eend# o/ Y, b: [- L
' l0 A4 Q" t* ~* x: nto do-trade
/ }+ w/ ~: O1 a, ~;;这个过程实际上是给双方作出评价的过程( R. X& s4 v! i9 a+ k" _
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
: }' Y0 f' l. s9 J# C3 vset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
* B# o2 I! P. l' |) W, |7 v* a! Hset trade-record-current lput(timer) trade-record-current
2 s }& R1 S+ V9 v( ^$ T# P;;评价时间: j! M9 v- j& `5 D
ask myself [
, I% U ?5 z7 A% {* {update-local-reputation
7 E1 w: _" \& g4 }set trade-record-current lput([local-reputation] of myself) trade-record-current
, E& Z* c& v: W) q. []
$ Q% y# y% Q# N) g/ p9 |) mset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself& ]7 T! H' {1 D1 f# y
;;将此次交易的记录加入到trade-record-one中 @; Y' | p9 C, t! I/ D
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
8 [9 }5 J3 d" u- Dlet note (item 2 trade-record-current ) V2 Q, m) R* Y
set trade-record-current `( S4 }7 N; e, ?
(replace-item 2 trade-record-current (item 3 trade-record-current))- g1 ~* I- b% ]0 d# X1 X( X2 U
set trade-record-current# J" m8 u* n+ H6 p+ B; b
(replace-item 3 trade-record-current note)
& k! g6 Q& ~6 g* J, P+ P' ~$ q! b R/ I/ M( ^+ c* J' W; C+ L3 h: \
8 ^+ O, y. ^8 A( h* s1 mask customer [ t2 b3 s0 _ J9 c
update-local-reputation. q! e7 l1 v6 F) a, p0 Q% b
set trade-record-current! p/ b. z- _0 y3 C
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
, @# C; d5 m6 t1 r2 n* z9 h]
8 t( u8 ^- l0 w. u& a% u5 z4 o" j$ E# t, h) |9 G
7 B: c3 l1 ~5 E% o1 }& h( h8 ~
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
/ K |: X; {' l, j1 k, l3 I- c
% h3 y/ m6 ?& n9 j! B& {6 rset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))5 K) m* }2 s1 J) C& b* e
;;将此次交易的记录加入到customer的trade-record-all中
! s* i4 g E1 w8 k0 a# G9 d+ Send: o- s* X, }( _- x" z" E: @
# E1 D a# R1 S
to update-local-reputation
# r/ A7 x& W4 [9 ?& @* c5 q- tset [trade-record-one-len] of myself length [trade-record-one] of myself6 W. }4 \: w) c; b
! z; a" c* Z* {0 Z, a& c9 }
" r$ z4 T5 ]+ V+ c6 E;;if [trade-record-one-len] of myself > 3
5 C/ R. Y! T4 i0 H% T9 h$ Zupdate-neighbor-total- C" b! O# `4 l( J
;;更新邻居节点的数目,在此进行
* y4 m% t1 ?8 ~let i 3
7 _% V& _4 x" J* zlet sum-time 0. s+ l* Y7 G( H4 e; q; c
while[i < [trade-record-one-len] of myself]7 Y0 Y/ ^! m% ^- H+ l
[2 r- |; l2 {3 L1 p& _6 Z
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
7 I3 Q) H: s" y. j8 L* w: ?set i8 w$ L2 @- P; e
( i + 1)& C- ~3 ^, ~) l" p
]
5 }( N$ j* g `$ p ?- ^1 }1 blet j 3
+ [, i% |( I$ ?9 ]5 g) w" I8 Slet sum-money 07 q+ i, i+ q/ ?( i" m/ N$ H; t9 O
while[j < [trade-record-one-len] of myself]: ^7 O9 p- J9 }1 ~6 J3 s6 N5 b2 V
[0 }; _8 F" P" A% `( ]
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) Z* x9 Z1 h/ e0 H) z) f' c
set j2 R* x5 \3 n% K
( j + 1)
: h- I. ~" L2 k- }( H q9 H]5 J1 t% r9 ?" A; {
let k 3
6 q1 E3 a0 m1 Flet power 09 f" s7 a2 A- r& W6 E5 o9 [5 c
let local 0
( G1 {7 Z0 N" hwhile [k <[trade-record-one-len] of myself]
) ^; K2 `( b+ y, p" H$ k! ]- a[
6 f' q: d! X0 Z A* }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)
+ M6 i; |- p8 {5 Gset k (k + 1)1 j* J1 t: |( w; Z* M& G3 Y
]
; n% f9 x2 b }set [local-reputation] of myself (local)
o4 [' H$ \& R- f0 W7 Z1 rend1 Z0 V8 B" A& {' h
6 }& ~; p5 p; c3 c; h1 G2 {. D- Y
to update-neighbor-total" U# O# l8 H4 T+ O" n; F
1 O+ L9 ?5 t: s
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
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( q6 z( |" u4 g' r# R& n
b M$ q( @" S1 c& A6 ?8 Tend
7 k% Y" O( a% b& Z% Q
: v/ `1 j$ h* o; D6 Vto update-credibility-ijl ; F% P. C! ?6 p
" l) I* ?3 @* ?;;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。5 h$ S; I& ^& n1 ?) c$ U
let l 03 h- Z) S4 r9 a. f
while[ l < people ]8 T4 k: o+ h* [9 J n [
;;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
1 @, M; y5 A. q: Z0 u- y$ e# y[
) O- ~. t. t% c% ~$ u- t( [let trade-record-one-j-l-len length item l ([trade-record-all] of customer)( h1 d1 D l/ l3 e) @6 ~
if (trade-record-one-j-l-len > 3)
+ D# p6 W2 r" d, U6 L[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( u% B+ [8 O) `- t( J
let i 3. g% |) y0 i% ?7 {4 t+ e! j5 b
let sum-time 0
" y5 \9 k [$ dwhile[i < trade-record-one-len]5 P! J4 z ^! r( L, f5 \" X
[6 y0 k1 O0 K- q2 K" m
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )9 [% D; o0 Q! c* w' b! @" j: Y; }1 d
set i# C1 z- u5 d R! ~( n0 i& B% ~
( i + 1)
* M ?, C( F X" e# V]2 y/ x3 l3 h( ?9 q' l. y2 Q
let credibility-i-j-l 0: g+ I# x8 M: F5 ~8 |
;;i评价(j对jl的评价)& u, _4 B h% J, [, r% c5 H( x, b6 c
let j 3- ` `' p; o5 a a9 A) t7 J
let k 4& B! `; r9 `% ^
while[j < trade-record-one-len]. U; m1 u, G; }% q. i% A1 @" O
[" f- R( e2 @' L0 j; s
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
; `- d+ \: y" I2 [; Wset 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)
: K& P7 v7 @' v5 [( S! M8 E z% Xset j
+ z$ m+ b" v% W( P$ h0 G; @2 I( j + 1)7 O. A3 X) G( U8 _2 G
]
* i& S$ b3 _$ }4 A8 H/ ]% dset [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 ))
1 h3 C! N+ T0 U& }; [8 N, y$ K7 g u, K5 V9 ~( _- _8 {
' f& m7 S) A$ Q8 h$ y& y/ @! {
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))# u) Y9 F, O0 t4 T8 e8 n T7 y
;;及时更新i对l的评价质量的评价
- L. X! A( Z6 u+ y9 J. dset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]% ~7 a' X) p% B
set l (l + 1)- V. P, h- W) \6 ^
]: n# y+ I$ E: v
end; ~6 O) v3 v/ A- f7 p% v% p4 t7 a7 t* k& d
; `# _8 [: h% K+ v7 z4 b* F
to update-credibility-list
- a- u8 ?& l* T+ l* K' [ Plet i 0$ f% \3 v* u) Z: X
while[i < people]
: n( u! r$ ? M" O* p) Y& i[* z0 B5 h- |" p3 T
let j 0
% z, ]1 i( C3 d% P- ~9 |. W! Flet note 0
7 P7 i; x9 V7 zlet k 0) Z; @$ ~/ A: e0 U* I3 G) ~2 I
;;计作出过评价的邻居节点的数目
9 u, }2 M+ ?; V' @2 Gwhile[j < people]
! [9 J8 g' ]( l; W" g3 y[
. W$ {" ~% N% ?; K- `if (item j( [credibility] of turtle (i + 1)) != -1)
: x# s8 m+ j% H# H# {;;判断是否给本turtle的评价质量做出过评价的节点
9 n$ I3 \; o; I3 K[set note (note + item j ([credibility]of turtle (i + 1)))
& O5 a0 \3 i6 W4 @7 U; h! Z;;*(exp (-(people - 2)))/(people - 2))]
# [5 A1 ]9 }" h" n/ o$ ?5 b0 V/ Pset k (k + 1)8 `! {. q: V' ^% P) ^0 l+ l5 E
]8 U! j: c9 n9 E5 f5 k
set j (j + 1)9 a! J) W6 |' ^8 }5 i) n
] v0 f1 P$ j4 g/ Q+ w I' Y$ F' `
set note (note *(exp (- (1 / k)))/ k)- f" n. K: ]* v$ M
set credibility-list (replace-item i credibility-list note)- _5 \0 j: Z+ y7 i7 [3 W3 ]
set i (i + 1)# H! y/ H1 x- N5 ^& E$ C
] ~/ P0 k: @8 P6 X
end. C- ]' g) Z5 O+ n6 O& D+ ~* i
- B& L% a$ N% Tto update-global-reputation-list
S9 \9 e7 A, O$ Qlet j 0
- |$ M# W3 X1 a$ s+ _& Ywhile[j < people]
8 ~) R3 q2 g% V2 F. {[: F1 q- {2 T- H) x6 Q8 r
let new 0
; P$ X$ N* [) }) ^" \! O# e1 I( J;;暂存新的一个全局声誉) h. a. A) n6 B: B: f& {
let i 0
& W. l$ ~- e" n9 ]let sum-money 0
& d( w1 G9 {2 W6 y6 s" [" Olet credibility-money 0
) ]& ]9 w2 V% Uwhile [i < people]+ Z3 c# k/ z- i5 W5 w0 a1 t
[
0 B% |* I7 I- Tset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
- k; K8 G; N% H5 \set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
: W6 Z+ E2 {8 w$ vset i (i + 1)
5 a2 m/ }5 E; P7 u* }]
! ^5 k2 B3 `5 q7 p+ i7 o% ?let k 0
& c4 u3 M3 R- _1 Rlet new1 0
& i. Y! d8 P3 \& L1 V- u4 k7 kwhile [k < people]1 K5 v; X. Q8 [8 }7 \* I( u
[; [/ i8 U6 S$ s0 W
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)
6 q( M$ i4 B; G3 H* G1 @3 `set k (k + 1)0 C, A! h. q! \9 R, Y
]" H3 G% o/ x4 n4 J1 ~ i
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
, B8 M3 [# G- C* |8 [5 Rset global-reputation-list (replace-item j global-reputation-list new)
: a, T, S! U- {! J) n6 Sset j (j + 1)2 p+ V- K, L" {; d5 _% f* f! j0 u
]
1 S! {) o+ { n; ?* p5 }( @end
2 h, `$ B4 T- }& O5 @8 f1 i+ u/ b7 }# R8 r4 i# @& |$ b- y
3 @2 Q4 g! h# C S; H. K+ P1 b; b# l) U3 w
to get-color1 C8 t2 }0 P) S$ a0 E
, Z( K2 G, H5 ]- n" yset color blue
* Z+ d1 R- x9 v' T8 y. M* ]7 p7 pend8 F; K$ j; ^* I$ {
6 x$ v: B# r ~3 Xto poll-class$ L9 m& n1 C! x; o
end
0 M5 Z$ v3 s- {; f5 P5 i5 z3 i3 e) V; }5 A2 d$ y, J+ L2 D8 E
to setup-plot1
" d$ j6 N$ t7 k H* n; ]& K
3 P- J* G3 y% `0 t* `5 V& m: _set-current-plot "Trends-of-Local-reputation"+ S' Y: W9 @5 C$ _+ |4 g( D# Z
: _% ^* \9 L( y j
set-plot-x-range 0 xmax
$ g3 U) d, u+ j. A) C7 v; w2 d- n$ ?# K2 |
set-plot-y-range 0.0 ymax
* O# W8 n" c" Z( G# G9 s1 D1 dend
^6 E0 J0 o8 {3 G- X$ J, x; h
2 h' b7 J3 k- I% \: ~to setup-plot2
; E4 ?7 `$ r2 g/ \. o p! e& v$ @, D1 E. v) q6 B( [$ N ?5 q
set-current-plot "Trends-of-global-reputation"1 U9 @2 o& l4 F$ j
, {9 o' A( {! g$ m
set-plot-x-range 0 xmax
' i6 ^8 H/ Z) L9 x9 q3 R5 @% ^) \) w4 r/ T! X0 y
set-plot-y-range 0.0 ymax
0 i/ I6 e9 K( p8 \% oend
$ }5 O' Q& T/ L
7 N# _) l# u/ X$ i+ C; v. Jto setup-plot39 U% I4 r9 [6 B9 k. n; Z+ Z5 S
* F2 H+ V5 S4 a* I( D, n! n3 G& x
set-current-plot "Trends-of-credibility"8 D8 z6 j H! H/ m( F3 `* N
$ Y/ m, ?1 y; Cset-plot-x-range 0 xmax, x4 d! G! J2 P' r% O1 [( O6 e0 w
: j- u* u6 ^# }* N
set-plot-y-range 0.0 ymax) ]$ v& Q& A+ u. H7 j! e
end
- x! E6 ~% N/ \0 X( ]) Z
$ M7 w7 x& z: i9 X" J8 Ato do-plots
1 t/ f" ]9 r5 ~5 |, y; Xset-current-plot "Trends-of-Local-reputation"
5 H: \# P" }+ Dset-current-plot-pen "Honest service"
- J7 m9 {. H* [end: t; _9 z, G+ T& p y
b8 @0 i1 q E% ?( z. a( s) q* e7 y
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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