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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0 e! q$ R! K) D- h- t) n, g7 e
globals[: h, _- ]1 W* Q5 t+ z6 c. G& T
xmax
; K9 q+ ? {/ q/ oymax% g, U6 ~, R& Q: M9 V; m* x
global-reputation-list/ [3 _- p. `. i0 i: q
7 f6 {% ~! A) M) F" w0 V& ~/ R
;;每一个turtle的全局声誉都存在此LIST中
( I8 q& [% ?0 \2 V) s2 P- \- U' r$ l. Zcredibility-list
/ u! f- _& `# k0 D7 n$ P f9 Q;;每一个turtle的评价可信度5 F1 \& R. S; V7 Z1 @# _+ `
honest-service8 F' N3 ]. [! x( W: j" r
unhonest-service
b6 c+ j5 {9 {9 x! _oscillation
0 `9 S, G1 v% trand-dynamic# \# i; E! v! k4 X/ j, V% N8 _6 g, R
]/ \; c, t. K4 g- @; V% p$ k1 f
( l. Y$ \+ F' F, W2 z
turtles-own[& ?9 E! m! w) \ C" A! M
trade-record-all$ h: K" H, Q; S& K( ^( \
;;a list of lists,由trade-record-one组成# P0 j$ H, I5 H2 T4 \& O' K
trade-record-one
' m* ^0 r6 g* D: W$ m;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
3 k/ Q+ {5 S- G# U) z b. u- h# N' L9 t# Z+ e4 n! A- ~# g7 a1 g8 M1 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]]. b0 b1 i7 t/ O5 c# ~1 w
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 N4 R1 N N7 N7 T$ r
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
* r4 f2 j0 a( T( d# bneighbor-total) B8 x9 T: Z) K6 X: M A" F
;;记录该turtle的邻居节点的数目
X8 ` d' y8 E0 m+ J# z+ w/ Strade-time
# I; x V* E) x, \- L;;当前发生交易的turtle的交易时间
H3 [4 p6 g# a" ^, _appraise-give
8 Y* \8 n' I' f7 ?2 W;;当前发生交易时给出的评价9 D1 t, {3 R% q H
appraise-receive
% o1 o; i4 F( B$ _1 H1 B* d: T;;当前发生交易时收到的评价
5 t: I t% l& x" d. V. bappraise-time
( p2 c% G& ?' T2 Q% s;;当前发生交易时的评价时间: m; }! d) i/ R3 Z* ~: t
local-reputation-now;;此次交易后相对于对方turtle的局部声誉! t8 e7 q5 b0 v( d
trade-times-total
- K. |0 h0 z( r( b;;与当前turtle的交易总次数
, w1 [$ u$ @ h3 O) Ptrade-money-total
3 z% Z. \4 B" [' S;;与当前turtle的交易总金额
7 W% O, E) ?4 l! I3 `+ @: @local-reputation8 s" J% S" B5 V& u3 u ]
global-reputation8 U8 I# L+ p5 ]
credibility
2 u2 t: \9 z: B. i9 K1 F+ Y9 F;;评价可信度,每次交易后都需要更新- z% w, p8 C8 z( Y/ O: }# n. s+ o0 A
credibility-all/ D! @ u3 h# \, o! R9 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
/ k( p l& |, u( @! d
- M4 A( d! X3 B& u0 h4 c. t;;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0.52 Q [. ?& b) i% @: B) L; i
credibility-one7 M4 t, m3 r% M1 `2 @
;;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 ], N& v) v& I5 h4 C
global-proportion
- a3 y; i# ~3 Scustomer( x- C( U/ K4 V. x; P0 u; T0 @
customer-no
$ K' }+ E/ f/ a9 G: btrust-ok2 d: X% N; t4 n
trade-record-one-len;;trade-record-one的长度
1 r1 [1 x7 t: t% Y]
0 ]4 Q- u! r4 C4 I0 g u$ x) R- ^0 {, x5 f
;;setup procedure
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to setup8 Y2 I1 s1 [: v( q. X& k
( G, _6 }7 o5 J4 @ca
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initialize-settings3 S% B$ w6 t3 d
+ N4 q+ k! ~+ ~3 vcrt people [setup-turtles]$ t6 B8 r% L% q$ M
L7 @9 c3 U* X4 R @0 ~
reset-timer8 C: J u5 n# o+ y# D
* r7 U2 F* e0 l% ?) H8 t
poll-class/ }; b. [5 D' g0 ]
% N5 ]: J8 V1 }0 }0 L7 {setup-plots
$ ^3 k# F: q$ t5 K' D( d6 G% B
, v* h+ n* H3 v" Cdo-plots; q2 R2 M7 f2 E3 |1 u
end
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to initialize-settings0 Q9 I: l+ A# ]' u
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set global-reputation-list []
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) E, A$ b/ z9 w% b+ R- t1 wset credibility-list n-values people [0.5]
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$ E3 I" X+ v5 t! I! kset honest-service 0
, |) z: z+ @; a' @! S
0 \, L3 a+ _: u1 i, ?8 Gset unhonest-service 0 R' q6 i) ^6 _' e1 C
: w0 u0 ~! Y4 Z [5 ^# ?3 e8 q! e; {
set oscillation 0. d ]# E3 r% Q
$ O) ~, Z+ W" \9 y) Q
set rand-dynamic 02 _. g4 O- ]' \! h, @) _
end
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to setup-turtles + u* U0 k' ]+ G* \7 T4 f: F: k
set shape "person"
+ ~+ C$ Y6 s+ \" T9 X8 C: Usetxy random-xcor random-ycor
$ G' U9 z: G2 j G5 G' `9 Q0 t. Xset trade-record-one []9 ?. F, g3 L/ r: v3 B
2 A! S* M+ J' z4 H) ^set trade-record-all n-values people [(list (? + 1) 0 0)] $ h* n2 x% X1 i. P* w- l4 @
9 ]& Y# z( v( K4 T4 }0 ?2 f6 \
set trade-record-current []
5 e! H& H: M0 R) L, H% Eset credibility-receive []- S! v# I5 z' o
set local-reputation 0.5
, ?5 e' ~) y. d5 w k8 r3 q8 Fset neighbor-total 0
# y0 b0 t- W1 v+ Yset trade-times-total 03 K0 U _! D) G* Y" M- _- U
set trade-money-total 00 h1 E7 `8 @# \. d. G; F
set customer nobody5 l! S" a% C1 S- r) y& M* X
set credibility-all n-values people [creat-credibility]
; V$ s, e4 R2 V2 X2 v, V) sset credibility n-values people [-1]
* Z( Z8 A% K3 s$ dget-color) w, {! Z- r. u2 H: `+ ~8 W
) V2 Y" V( l- s% ~$ O( ~& Oend
4 |& Q, Z0 A9 [0 v8 }6 I1 Z! A+ m# w* @/ i4 x
to-report creat-credibility6 i: y3 l" ^# Q) T; ?# _2 F0 ]- x/ w
report n-values people [0.5]' q* G5 Y, {, ^- u/ u2 ?- Y V
end
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2 ^- c5 O3 c! l8 o7 ]5 S' [to setup-plots
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set xmax 300 t% ^" }$ m: u" ]
3 B6 @/ f' ^1 q* V" l
set ymax 1.0
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6 |$ |9 y7 `: y/ \+ sclear-all-plots
- { U* @. O9 z' e
, e5 H) i# U( I- _: L+ z! q6 j% k5 rsetup-plot1# J+ s: ?: M) x4 ?/ V! }6 V! x
; u5 S2 L9 V8 d# H+ t9 J2 _ x! c
setup-plot2
1 O0 g. H' y: }5 Z* Y0 f, k7 r9 v6 X9 u; [
setup-plot3! Y: \1 s2 e P o0 E7 Z
end
' ?+ Y0 @9 W; V2 i0 z t
/ k( x6 f B9 l3 m;;run time procedures
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to go
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- X2 A) z( w _/ ]8 nask turtles [do-business]
. ~# m! H4 i" o7 u/ Uend
V7 O- e" t! S0 B+ o0 X$ g1 F% L- }. d. S
to do-business % V% J9 a0 l) V- _. T6 [
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- a. j$ k. c; e% z. y2 [% K! Z! l6 qrt random 360
1 u) ^2 Q2 L, u; i: D
# d4 v9 A' _' M7 i: ufd 11 [) P A ^. X+ j# ^+ g% w9 g
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ifelse(other turtles-here != nobody)[1 `* } F. [4 J$ k' `5 q
( C+ H. o6 S5 O1 H7 C: S& e. Cset customer one-of other turtles-here
! S4 m4 N5 i7 q" y# k, N
+ P. }$ f* N7 o% ];; set [customer] of customer myself% n, N. S* i4 R2 C8 \
/ x: @$ C1 r, @2 S5 x$ b" h
set [trade-record-one] of self item (([who] of customer) - 1)* l" W( W) x8 I( D+ Q% j! c
[trade-record-all]of self
7 f# d" }1 E+ X% J7 Q: {( Y;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self2 I+ |" R' s8 L& j
+ Q t# v y" Z& n
set [trade-record-one] of customer item (([who] of self) - 1)0 `0 ]# K' m* M4 f) w
[trade-record-all]of customer1 }- p' }+ H3 i
+ w: E5 W3 P* \% ~4 S
set [trade-record-one-len] of self length [trade-record-one] of self# X( N. A4 ^, q& [$ T8 Q) o
9 n/ R6 X; Z# O7 F2 r2 Pset trade-record-current( list (timer) (random money-upper-limit))
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ask self [do-trust]
! O/ Y2 ^ N q) g;;先求i对j的信任度- A5 d L4 I& _3 m2 z
4 q0 w& W2 h% ]7 l% I' l
if ([trust-ok] of self)- Q: l2 i( M C% z) s" H X7 t
;;根据i对j的信任度来决定是否与j进行交易[; z3 v; d8 [, L% n
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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[, U! M+ z& A6 o( m+ `: I) k
+ p# V1 Y& W2 ^+ a, Z& ?
do-trade, }% p& o& D: g1 r2 p U
! N# N: N, D1 h Y+ ?update-credibility-ijl
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update-credibility-list5 C" u1 r; r* [% I; b8 k
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6 e( p( E8 g" B+ {0 O4 ^
update-global-reputation-list0 h* N' y* z! n* k
; u$ {; d T; A1 l. \2 a+ E0 z
poll-class
+ h3 h! i3 L* z1 }' a0 F0 J8 P
$ P6 ?# ]9 c& ]$ a% j5 Q7 @0 n. @& bget-color
/ N. t3 D3 f, x- a- v+ x5 [7 g( [9 u- y/ N
]]
# ? V& c2 D3 i! V8 D' K5 r
% i# Q4 a7 z4 _1 V; m$ t;;如果所得的信任度满足条件,则进行交易7 z" V( T4 \# J
* V$ C j) l1 E; F; \9 {
[$ I) z' p2 [& J
4 ?* O1 |: u4 p" w( z* |" rrt random 360$ G: t$ G. |% Q2 Y% h6 c0 b
! A0 n. p$ o8 V3 r: v' P
fd 1& P- D6 A4 h3 R, j
0 [+ c- c7 o* c* ]
]' \& y$ d: l `; ^ x& e
+ p" s8 |7 H* p
end& B+ t: r: X$ M1 o% k8 j5 W: n
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to do-trust
" w p! n1 J- H3 X3 yset trust-ok False& |7 ~! S$ p4 `
% f- I$ f4 q4 Y* p8 A) y G% y
! m" ]5 z7 M: l* w' R" l4 h7 ~7 `let max-trade-times 0
( Z6 N {* K4 z. f! oforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
8 `& p( R6 G0 B. }let max-trade-money 0, z: |' Q3 O0 u' M# p
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]1 K3 T1 I2 G) K
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))! v# j8 F5 C) I$ e0 p0 ?
1 g' r9 X# {9 }' z/ c7 }! A6 w( d$ G" H. [( O1 \
get-global-proportion$ r2 m, j; y+ p/ y
let trust-value
8 |8 R! s" y: V) E$ llocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
7 u, J& H3 D1 w7 @' N& `if(trust-value > trade-trust-value)
6 u3 W- ?% P' V6 K$ _& x' g[set trust-ok true]2 Y3 Y/ c. `! q7 o* w% V
end
7 A. _6 T+ I& {8 u. q* |7 K! J7 k
8 ?3 t; Y+ c) c) C8 U" P wto get-global-proportion
& C" ]* x' I/ A( l/ [/ t3 l0 Pifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)- ^; w5 x: U2 N7 ~1 n% I( b* ~
[set global-proportion 0]3 T/ z% K7 N6 V8 E' l( _% {
[let i 0
3 d* y9 w: x9 a/ mlet sum-money 0
+ C4 ?* w# z, g$ J- \2 X+ r* ?% zwhile[ i < people]% g o1 T" O; R( U; ^4 E- W8 @$ g
[. T4 g+ r: o8 W$ ~" d4 _
if( length (item i' a# k: C0 }" j* K5 E1 P
[trade-record-all] of customer) > 3 )
# z8 a4 i4 ^" x5 g[2 j6 z" X" `+ s* C+ m
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))) J5 m$ s5 V2 s: n8 l: |/ ^
]
9 V; C9 d% e& G$ _]
$ X! ?* m/ [7 B2 s- Dlet j 09 S% f6 M$ U. i# K$ m% _* b
let note 0
6 C( ?. ~) q$ K# m& j! e" S% uwhile[ j < people]
; K/ X5 a) s: w1 J[
: l' c; t3 t8 K* ?if( length (item i3 Y/ R ~' i) ^9 [5 ~* V5 N
[trade-record-all] of customer) > 3 )
# D0 f0 X, C! O& v+ B5 @4 E[
+ ^$ s5 K0 A4 B& X' }% y4 t Tifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)& {6 i G" [) K; P0 X6 K' l
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]! l. C5 }+ l' [. x
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
# A9 m% w) i/ j) f" M]
+ k. Q, W; M0 l& X/ g- e9 y4 ^/ B]
0 p& {6 |5 W# x7 Y1 ]- |3 mset global-proportion note
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end
* ~8 \' S7 C( k% f7 V! }8 v
" k. T# y J* j( g8 R* U) rto do-trade
( X% j/ n0 R" B0 T;;这个过程实际上是给双方作出评价的过程
3 r3 U" l- x6 ]/ Rset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价8 x: z( T+ s5 d+ k" c7 b
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
7 L9 X( D: N( C; t- bset trade-record-current lput(timer) trade-record-current, Y+ ~' g) ?# w& \
;;评价时间* T* d/ Z" ]2 f+ G
ask myself [
) M% r6 W* a3 A" ]update-local-reputation
# }. m. p3 n6 z& xset trade-record-current lput([local-reputation] of myself) trade-record-current
& {- d7 S# N# _, b( x X]2 Q E1 O% K7 N! @
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
# y3 |2 W ~. Y& f( Y6 [) T;;将此次交易的记录加入到trade-record-one中" e; B, |9 H# J% C B+ o
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)! X9 U/ x' p/ S: b+ ^. ?
let note (item 2 trade-record-current )
) i& ^* ^0 l Rset trade-record-current; S8 Y# Y; a' p3 V- ?' v
(replace-item 2 trade-record-current (item 3 trade-record-current))
7 D6 M+ C! \# j8 ~2 D$ \& Sset trade-record-current$ D2 P/ E1 ]; d7 p5 ^6 F: W
(replace-item 3 trade-record-current note)
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M: |0 q }8 a' C; M' o# task customer [$ P0 g. {; a1 y
update-local-reputation& p) I8 W1 ]4 Q: N
set trade-record-current
/ g' J: f7 v1 @. f" x2 @4 j, h(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
! z2 c$ M; Q$ n4 r1 J$ }+ m]9 k$ C5 f5 j) {2 t; x2 f8 ?6 `
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, a9 Y- ~4 m* f$ @; Gset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
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set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
- Y3 {; d9 W+ t) c n/ O;;将此次交易的记录加入到customer的trade-record-all中# K4 t5 z' e$ V; W
end
$ \4 |$ h) s& B7 ]. V3 D: C
5 H# \4 m) ]7 L$ `2 v1 e; yto update-local-reputation
8 B: ^4 s {! ?" Fset [trade-record-one-len] of myself length [trade-record-one] of myself
$ J" q2 l! E4 n$ g
" g4 n7 u" ~9 T3 Y: @7 `) h( Y
" e" d& b/ I; d. e! o, J;;if [trade-record-one-len] of myself > 3
$ b" P* k! e- V8 f! Vupdate-neighbor-total0 z/ m" w e' g+ R
;;更新邻居节点的数目,在此进行
) h a2 T" m) T% X% y3 R; Llet i 3
3 E: X& C9 S/ H; O- nlet sum-time 06 ^/ B j; }) M1 @
while[i < [trade-record-one-len] of myself]
" U3 n) D# _$ W- Y; k: u% s- `[# F7 z! T$ E1 b4 y
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )2 S4 |# R0 {9 b9 [5 p
set i
1 ?; Z: O" q0 V, R5 Q6 w. X8 z: K( i + 1)
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let j 37 G+ R8 k! B# }4 E
let sum-money 0& y: w# ^8 _, y) e2 Y
while[j < [trade-record-one-len] of myself]( o& A2 ^* o" W
[, n0 E2 n3 z0 y4 [6 L$ P
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), ^9 M0 } U' t9 P+ H& v( o
set j" u- D6 G3 I N. N7 }- y% w+ k
( j + 1)0 p j& s4 \7 ^5 g7 `
]8 l% a& |' m! o8 g$ M' M
let k 3" {) i" G4 @) a; @. G
let power 0
, f8 S& C) d8 y! k0 E& E. _: vlet local 0
4 P' h/ p+ ]: r/ {while [k <[trade-record-one-len] of myself]4 S0 [/ \" t- F6 X ?1 I
[
# H; H+ x6 F- wset 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)
9 L. {9 ^1 E, q" d @set k (k + 1)
9 Z8 ^. @" o# Q9 L]
% ~6 \" F- v- O+ T0 Aset [local-reputation] of myself (local)4 P! s+ t! j6 ?
end7 J7 G; C. j. H5 W
9 a1 d5 ]- j3 I( v$ Hto update-neighbor-total# O/ C+ p- q$ p% W6 C& R. ^
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if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]1 [- ]1 ]1 B5 o# h
& _ |1 l6 M& X% }; x# M# Y' H4 k6 s7 w9 r. Q8 `9 E
end
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3 h" d b1 X, Y3 x5 Fto update-credibility-ijl / d' Y+ S# z+ P2 f* s- [
' Z! u* f1 l! ~2 j% 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。
9 S2 [- a4 t2 M! Ylet l 0; v w% u! _$ g/ F$ V) D0 d' p* j
while[ l < people ]0 `" \, v) c, I: j
;;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! C* V* X6 k7 }: T
[
0 y$ E7 ` t9 J ~let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
; N; {( ~! T$ |8 }7 X* Kif (trade-record-one-j-l-len > 3)* p' j; w$ B) V5 B' e" |
[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
( z! h; x, R/ u! m' d6 jlet i 3
( I( P0 A5 W" j* Q- q) j2 g4 |let sum-time 05 D3 u9 [, n' h8 n; A y
while[i < trade-record-one-len]
! Q' R' S. X) z8 p[
) x3 K p% K2 Y( J' v% r, Fset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )- f" h+ X# A1 S ~
set i0 B3 q0 b3 Q y, x) O
( i + 1)
' x2 \: ^: D! O0 J* u7 r9 L]+ ~/ i n% x/ ^9 X6 Y. ^# V! s% h0 s
let credibility-i-j-l 0" i, c2 L6 b8 H; a
;;i评价(j对jl的评价)$ }+ R/ I: ~7 }' z: }' T9 _% M
let j 3
l$ I# Q* y7 T7 d1 h" u0 a. vlet k 49 \4 R" C& F U5 Y% i% _ }
while[j < trade-record-one-len]
" H# \4 X+ C" I% T[; k4 X" U9 [$ @! v; Z7 p0 l
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
8 }* K9 y9 v! ?- Z. |: ? 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)6 ~3 g h! E9 G) W
set j0 o5 \$ O, l* H# c L+ ^$ E3 D
( j + 1)
! e/ ?2 Z$ p( a) d4 M- t]" Q* G: w9 c% \+ m7 c0 U/ s
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 )) ?/ I [" D5 {6 Z. ~5 X4 [2 b. ~! h
3 Q, {/ s# b l+ r# N( S/ b
3 @% I$ q5 R4 q2 G) k' R; b* v: A+ klet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
" `& c- l. G9 _& w6 Q;;及时更新i对l的评价质量的评价7 Y, _ v: I- [* E
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
' o" ]+ \6 e3 G+ H& `- o9 B7 hset l (l + 1)) Y% p6 B ]6 P8 E; E2 a S
]. z4 [/ R9 m& X1 ?* U" N# _
end- o( q4 R/ B4 e/ X0 \
, ^1 e# H. b' ^7 k4 @5 [
to update-credibility-list# ?" P9 V4 R- h4 m
let i 0
) x/ c& P9 l7 W0 i& swhile[i < people]
/ j* v" |% T% C: {+ L/ z( f[& x( e! k6 X# E0 g
let j 05 G8 g! j8 h* Z' b. q$ o
let note 0( I+ v. s& N% _0 _8 I
let k 0
* ^! ^9 {' ]6 i N;;计作出过评价的邻居节点的数目
, c5 V; f6 [1 I8 ` Qwhile[j < people]+ T; g: D( f/ n
[
/ B6 q) w& w+ g2 W; Mif (item j( [credibility] of turtle (i + 1)) != -1)
1 r6 m7 f! f/ U, U;;判断是否给本turtle的评价质量做出过评价的节点7 a4 ~3 @+ I' x) |) `: Q) Z7 o1 q
[set note (note + item j ([credibility]of turtle (i + 1)))& d2 y: l) S" |
;;*(exp (-(people - 2)))/(people - 2))]; a" X# [, q2 O9 J( N
set k (k + 1)
; y' G# U w$ r7 K]
5 c' z: l; E5 fset j (j + 1)
* y6 q( r* t1 V F) J]0 G' O D5 R3 _' a9 [
set note (note *(exp (- (1 / k)))/ k)1 G h7 }3 k4 s( y( u
set credibility-list (replace-item i credibility-list note)+ F) B: N: a( R8 j4 J) g" T
set i (i + 1)9 O1 W4 s! N& D( i, ?( H. l4 n
]
7 ]8 V l9 m8 V2 U5 ]end
4 W0 w& b& D1 }2 k u- c' J$ t* k5 M
to update-global-reputation-list
. D* W; K7 [1 |: \! ~9 q- @: mlet j 0
+ j) f7 B( M9 rwhile[j < people]$ j. U% Y- @/ U
[4 f( A2 z3 h2 G# D7 Q1 X+ J
let new 08 ~" J: U$ _9 Q) H
;;暂存新的一个全局声誉5 K! W/ Y/ r7 o5 P% d
let i 07 E' D: E: L. t* s" }- ?
let sum-money 0
$ Z8 k5 U4 R7 |: k% i+ Elet credibility-money 0
& z6 `" O* b" g) F( Z; ]5 U- xwhile [i < people]
" D' ~8 Y0 h$ k% R/ H4 K5 O[; x8 c5 i z$ _6 g* _" B
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
' N+ b3 c, e( C k6 x. fset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))% M- z+ v T& T# e V# T
set i (i + 1)) u3 g3 |$ N$ f$ }8 V5 t9 t( [
], h. d. T( _- m# T. |' A j
let k 0
! _ J; n( q# b& u! V7 ylet new1 0
# z; P3 c ?8 I2 ewhile [k < people]
0 l3 z p8 T0 q4 P[3 g/ H. M0 y0 l- v2 s# \
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). B1 c* z3 u, L: U' S. ~5 b# ~' a% E; U. @
set k (k + 1): \& E; Y' s! Y) e
]
) x& ` y$ g4 Zset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
/ j( R& ?3 {+ H' L9 p, k' lset global-reputation-list (replace-item j global-reputation-list new)
/ A4 ^# _) ~, Z2 A) kset j (j + 1)
" z6 e" @2 R/ m8 Z4 p9 w]
: V* C @9 S5 S3 {2 f( Aend k) s/ C- ^& y+ t6 g
8 ]/ F7 k! i4 ?
( I% `- E E. N: W% c. }( y( ^1 s% w
9 M5 F7 j. p& w6 E9 Dto get-color T& N Z6 {4 \
* y* a% \- o) Q$ a+ T Z) Y9 xset color blue8 z- i% |8 [# u
end3 M! s8 a7 |& W$ ]
/ i7 K; N8 N& b3 b$ P* P2 a
to poll-class. a( A# m/ H; R0 t# b
end
5 V- i+ _# o0 h$ W) B
2 p& d$ E f2 S: g2 T! \- M7 S6 Cto setup-plot1. n4 N& ~' _: d3 g. V3 D8 n
9 S1 V: q7 I6 C( p2 Wset-current-plot "Trends-of-Local-reputation"# ^1 k5 H: |0 f& n( Y0 _5 e
& K3 B& k3 Z* w: j5 |2 b" O' {set-plot-x-range 0 xmax# m) m2 @$ b0 m" v- r+ \8 ~& j8 O
: b7 I# C6 p9 c3 P- c/ F
set-plot-y-range 0.0 ymax
5 m' I5 N; B$ k$ a+ j Jend
. s0 ? _. T, r2 w6 @. j9 X6 _7 e' ^- z5 P: W% p
to setup-plot2( a- r- d2 D7 V% {
- { x* T( d$ J* ]. @4 w
set-current-plot "Trends-of-global-reputation"
) D3 h! i$ ~1 i' g! Q0 w$ q5 h {( [0 M% E
set-plot-x-range 0 xmax
P0 {7 m9 R" p2 V( ?" z% q8 A$ h) _% g) M
set-plot-y-range 0.0 ymax
1 r* W4 P C4 K" p" q0 R2 mend! ?- Q/ U* ~) }
3 g7 u. v) @3 ^) Y* T" }4 h% uto setup-plot31 J, s# Y1 a% H9 N+ B: Q% e7 R, u
) _' D9 p% E& R J
set-current-plot "Trends-of-credibility"8 d' H8 m7 u. R) f5 B, L' _6 M* Z
5 L2 q2 G$ Y. I- Y R
set-plot-x-range 0 xmax
3 ]- h! s# T+ x0 J' e
: P) q. `! S. D! p5 Z8 w* L5 ^set-plot-y-range 0.0 ymax
% X2 E; a6 Q) e& Y' q) Y% E3 G- V1 zend
: b+ Q! k# L$ O. d; m* v2 C" s9 q# n8 L; W6 Z
to do-plots
0 z8 J4 ^0 A# x* w7 U/ L. n* ^set-current-plot "Trends-of-Local-reputation"# O1 b9 Y1 S9 \& {
set-current-plot-pen "Honest service"* Q! w! Z: T& `7 J, m
end
8 W) b5 a% }. J' C1 q: a) q! U: m7 g- F8 ]& ^; @9 t j
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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