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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: R9 U! D# ^" A& n/ k
globals[. u3 o, o4 u/ X( n& [
xmax
, a4 [) e2 H, u- k: \# _ymax6 ~7 k2 i I) q) H0 G7 b" }+ {
global-reputation-list+ p7 R" s2 i9 D$ u8 E7 j
; S% F9 b C: N6 r;;每一个turtle的全局声誉都存在此LIST中
4 X3 r$ V1 Z# D5 h" f+ S6 @6 ?credibility-list
" w/ u* [, s) ]# W;;每一个turtle的评价可信度
* D. p# P) c/ r. ?1 rhonest-service3 H4 H8 c+ Z5 x- [
unhonest-service1 h% U0 g$ c/ d$ G( ^
oscillation' ^) b/ C9 b" E! D9 S# n( [
rand-dynamic% e' W& F( \+ T- r7 e/ N
]- ~' D# _2 [# x: @
7 o+ c, y1 c3 A. dturtles-own[' P/ B6 F0 E8 o' q6 ~: I
trade-record-all
# t2 x J9 l% ?& w: R- W: |;;a list of lists,由trade-record-one组成% i4 I: n/ o8 k* p% w
trade-record-one' e% d! ?( p( x# p
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
5 o* `; ?$ F8 X9 |9 e2 a7 S0 {: z/ @, J# g( \/ O5 L
;;[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]]
" E! @) a3 k" X7 y* K3 ktrade-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]# `2 J# G& [+ `) E( m# ^3 d3 \
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% q: A3 \# C2 N; E9 k$ x
neighbor-total/ @ ]6 k2 i$ n' |
;;记录该turtle的邻居节点的数目( ?6 X1 P* Z# ?+ V/ `, m1 I2 h
trade-time
: x/ I" k- N4 G0 o;;当前发生交易的turtle的交易时间
, m0 W5 s( N4 I/ E0 l" gappraise-give8 w8 p8 q& ?- X6 ?
;;当前发生交易时给出的评价
d, q! a% X3 S& L, U8 J# oappraise-receive, c8 ~) P, H, q+ T4 D8 I3 g: T
;;当前发生交易时收到的评价+ x: {* A5 E# U" W
appraise-time
0 N9 m5 I, ], F5 m7 `2 m5 ^ U;;当前发生交易时的评价时间0 w7 ?" E% X4 ]. I
local-reputation-now;;此次交易后相对于对方turtle的局部声誉1 [$ n" W5 T: @' o M H5 P1 p6 I
trade-times-total' G9 ` R. C, E
;;与当前turtle的交易总次数
3 t% y1 R0 x+ A- ]trade-money-total: u9 ?" L O: |8 \' ~
;;与当前turtle的交易总金额
5 @* t) |- w2 y. \7 Ylocal-reputation) a) ]. [, X/ J& `, s* F K( ^: F
global-reputation
% E3 G1 H5 x/ `credibility
* x) F$ H7 ] g. E4 z- k;;评价可信度,每次交易后都需要更新
* x2 B% i1 ^$ C# n7 s9 `+ fcredibility-all9 b: R9 T v7 e$ {
;;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 ?1 u* Z+ q) {* a5 ^
9 [' I. x( L" v7 U' s;;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
$ W' U: e$ y& }4 x! g7 ^/ [/ O1 q+ ]credibility-one
2 G+ n5 g) i' c) n- a;;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3 k4 v* U1 S+ `5 Y: I: H* P/ H. G
global-proportion
; [; v& U5 a9 a9 N$ _customer
# \4 y) U0 R! y1 m0 ~0 acustomer-no3 U# J# b2 q) T% G! \" w
trust-ok- `' s# W& Q, h# u: L0 B: p% |
trade-record-one-len;;trade-record-one的长度
/ q& l" F# q6 O/ o6 k7 ?]
4 v" j# B+ x% ]' D: n3 a u# r2 z" I% ]
;;setup procedure
! }/ e0 [% A# U
; ]* D9 g8 V# h+ O! bto setup
% E! @ v! B. V( \& q# q5 c5 p# `; P$ b! U: R: L# e- _0 h
ca
, L' }* y$ ]5 G9 g# Z# a& o( |8 u! P+ A" q, B6 ^
initialize-settings
) f$ i# O1 F9 I
& O% ?: X" ~: L% M4 H/ B; Q- [crt people [setup-turtles]
3 W5 F7 \' v* L% @& `- ~: _' p. y9 [6 W( O1 O4 I
reset-timer
% [& V" T H" @$ |2 m2 p6 I) \6 r" K% j8 c! l4 I$ O) Q. V: k
poll-class6 B$ X" n1 k' {. Q3 u% ?& O
0 T( _( w( \% I1 K% o5 F/ p
setup-plots8 \# f$ Z9 m) W. L8 D; X1 {$ Z
- k) m7 C. |& e0 ^
do-plots+ a4 f; {8 S! k2 h: Z6 x
end/ ^4 v/ B3 e; H! P8 X6 _
& b4 C1 W M! g4 g! ?$ W. A* ato initialize-settings
6 X3 v, k2 I0 K
' H& j& v4 C2 m. C, e/ _! wset global-reputation-list []
- C1 p. ^! N" z5 g' j) n7 Q. c. [/ I8 P( K) @* z+ }
set credibility-list n-values people [0.5]; U( V; Z! `/ z% ^
/ Q$ }- v$ ~7 [9 f! p, ^set honest-service 0
w4 X- B; s0 s% e( \
# T: ?% k6 |( S, Y2 Rset unhonest-service 0
& t0 }: ~: |9 p; e4 e4 P6 i0 Z1 u7 [$ w6 ~7 Z; }
set oscillation 09 B+ T# p* ^2 b% D X
4 I7 ^+ `0 A w: s6 r; [set rand-dynamic 09 V! e. d2 n5 {+ M. N
end
* R( `: h5 U) e
; y+ j5 _! M. |) W8 x( J* j: fto setup-turtles
: P. K" ]# `: ]2 g/ F1 w; Kset shape "person"! R0 S7 s, Q. B( t
setxy random-xcor random-ycor1 P, P( k9 U7 H2 j% O
set trade-record-one []' ~8 b+ t- T0 H- e- \3 Z
1 a% p* p' e2 {. z& \: x9 nset trade-record-all n-values people [(list (? + 1) 0 0)]
+ |% R5 q+ {- H- e: F: i: Y+ P# n' i# {8 x. `& L! R" M
set trade-record-current []# y# R! O: ` [# V
set credibility-receive []+ c% r1 A4 @, P" m' N& F
set local-reputation 0.5
9 g: F6 r9 {6 E% U6 {7 Xset neighbor-total 0
5 V9 R* Y8 G/ M8 [2 ]set trade-times-total 02 I+ g2 A& G9 F
set trade-money-total 0
* c) a) J! q# l' Z/ u5 b+ Mset customer nobody" Y5 W0 Y( |" O+ F$ _
set credibility-all n-values people [creat-credibility]
$ K$ e% |) b$ d2 n4 wset credibility n-values people [-1]7 n% v6 l. `* x
get-color
, l7 t# b, A& ~( C- Y) M p Y# U# z% z: A O
end
`7 H5 H- e6 y' g* \( g0 N8 c: l# j0 n
to-report creat-credibility. i/ q! U0 a U
report n-values people [0.5]
, o1 B; W' j0 K" Send0 E6 b' q; m: E1 Z w& x& G. c- G
9 i0 \9 l2 c0 D, V* @$ a! Mto setup-plots
* ~& P+ z/ J5 h; }" c6 t3 P# D- s( X5 B; j, \6 A3 Q
set xmax 30% r0 M* U- m) Y; _$ S
8 j/ _( {5 x1 ~) f' _
set ymax 1.0
/ h3 \& u1 \$ t+ ?
" }; ` P- b7 gclear-all-plots
" F* G* Y! ~: C" Q, X1 i. t2 M" X* n
setup-plot1
& }" K3 N! h4 k6 n% u- C# {9 F! Z( l2 K/ T5 F; R! Z
setup-plot2) t4 C2 R) h1 V% t- N' x- G5 I+ H/ |
2 s) a& X- z* O* w
setup-plot3- J$ a- [* }; f/ X) s i7 x, u
end; A/ Z( f% Q! |8 p* l
% p( n# A! C9 C, V i
;;run time procedures
0 a. ~4 B6 D- D+ j) x0 c; m
F4 V. T# W+ Z* Wto go" e6 J) F3 J( ^
5 L5 y$ Q: ~3 ^ask turtles [do-business]
6 v) k' m; f, }3 y: f6 Wend& C4 o. I0 t4 L+ j
2 K6 b: r* a7 D! m( R1 S9 ]; m" oto do-business 3 J# y: W d% C8 q9 n5 J
3 Q) I# p |5 G: M" y
0 M- n: n8 S5 U# S
rt random 360 w) O$ w, {* q* S0 h
% D* t5 `3 S7 [; v3 P
fd 1
: L( [9 t @! d7 ~- z6 @7 @0 k- O" k; `# M9 p+ D& V4 b2 o2 a
ifelse(other turtles-here != nobody)[
/ Q/ {2 P5 p5 s& L% k$ p; q+ ^2 b8 M
set customer one-of other turtles-here; ^5 Z* Y4 ?) Z) M9 |) P) F
; w& a. a$ _* Q. A" ];; set [customer] of customer myself
8 Y: H7 {# h- x0 T+ k g1 p$ P
+ l# a' \% _& T" M* T9 Wset [trade-record-one] of self item (([who] of customer) - 1)
/ J& R- U) ~5 ?! N" U1 O- ]& Y9 }: o$ D[trade-record-all]of self
" c1 v! n" q5 I6 t;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self1 ^% L* Z2 Q' K& H" K3 q: X& b
/ Z& c! A" d: @; [# H0 }/ u2 tset [trade-record-one] of customer item (([who] of self) - 1)4 A; _: _, I/ u
[trade-record-all]of customer
7 m1 ^ g) k+ e' b8 P4 L1 _& n% B% l5 a* ?8 ?
set [trade-record-one-len] of self length [trade-record-one] of self4 R6 x" X$ V, X* N
, \8 v4 o5 D) ^$ A, Dset trade-record-current( list (timer) (random money-upper-limit)): E2 O- ]- J+ B$ W
+ O/ L. g( m1 L+ P5 I( eask self [do-trust]* v* v! I. o1 {1 W* a" S
;;先求i对j的信任度3 }4 x _6 U, A! [- p# v! j
9 a9 d2 @6 f6 ^9 x& s& r/ ~+ Z& p
if ([trust-ok] of self)9 k6 C0 s# G# _' U
;;根据i对j的信任度来决定是否与j进行交易[
( o2 o1 d i+ L: }, d/ F5 task customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
! V1 b \8 y# Q7 U6 }" B" D) F/ V" U3 r- L/ V0 {
[+ M9 {; P7 F4 x. G& x
4 z9 X" G- `6 m9 |! U# v5 k- S
do-trade7 N! l: ]# C) f0 f; }, r5 \
# w9 \8 c! X' \6 x; C
update-credibility-ijl+ f, V+ C, V0 `, U- j0 Q
" X" M# W4 _8 lupdate-credibility-list# r3 K1 W. C' D
$ g5 `# I5 l: [ R$ Y% o) N6 Q! w+ x. K9 b5 D
update-global-reputation-list
2 ~9 N7 G1 }2 ~' j/ w) M6 U* a5 p T6 B5 g7 `
poll-class
8 Y1 i; U; h) L# F2 z3 W* j ?8 ^. N5 E9 D+ M" n
get-color
/ H( z& l4 g5 n& @2 |+ w% w* W6 q* n+ n; E4 ~8 Q3 ^
]]
% x$ o Z: q+ X( b
0 X7 z5 @& Z; q7 \; }# u;;如果所得的信任度满足条件,则进行交易
# X. H7 C, w7 @+ a: I2 [ c7 D8 p6 f i. f l
[2 r9 F, h+ ?2 P& N K% r
) x: L1 p7 y u+ d6 {- E0 S2 Zrt random 360
' _7 Q1 B" j: K+ }4 C! y% }
9 u+ K% {- a1 F; }- v" Ofd 14 a! h: d, y: Q) |
) m; y# y3 a2 X& ]4 W3 ]) E" d! p]: [* S, d, s7 s2 A
0 ]5 }+ s* t( Z# fend
- G! s( h2 ^3 w+ e$ d& S" J8 S! F% q
9 \$ s6 ~. D/ C E6 m- J' sto do-trust % F, ]3 S: f: {: g( ?
set trust-ok False
7 t" R+ h; l$ x& K+ F$ Q5 |3 d0 b: l
7 ~, o7 F( y2 | |* E9 Y
: R! e9 n" Z# a- A( z. Klet max-trade-times 0- V( h. q, A& l+ M1 {
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]; A" T* ~+ d+ v/ E0 p+ n
let max-trade-money 0
o( Y! f2 X* F* `, F3 Sforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]1 ?6 ^+ k" ?( h* D, s8 n
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))- T4 i1 P) B9 v' \+ N. W t9 W
& h: m) r: q3 n
) `; \' k8 s: q5 Tget-global-proportion
/ H, x7 ~$ U: }5 Z/ x, R9 Nlet trust-value, \" }: m, ^ p* W: u$ ~) B9 _$ E
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)7 G# N; w& g) w1 W$ I
if(trust-value > trade-trust-value). k2 j- Y" n" n9 g, [7 f8 M1 u [, g
[set trust-ok true]( W/ z# }" E6 J0 j
end
3 i% e* @- K- T9 e- M. l6 _( n+ S( d0 X/ H- s7 o a: j
to get-global-proportion
6 k2 H$ g( U' M1 d6 Kifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
7 o: {, _2 u8 H; \# q4 z" P[set global-proportion 0]; }1 z2 X- k) b3 Z* Q
[let i 0, a, h- i- t) r( p% A5 F; o" E, q0 M
let sum-money 01 ?4 [; x. B9 F; Z( P& o" Y7 S( }
while[ i < people]
* F8 O8 ]2 s N4 |: o[
) n3 W# R/ A% [8 |( F8 Uif( length (item i
; S) [/ K0 U, g7 ^8 |' C[trade-record-all] of customer) > 3 )
4 n+ q1 B V1 t+ H4 V! H+ C# H% ^* ~[ Q8 n. T) R z$ _
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))2 X6 Q7 R4 D! _. ?
]
8 Q% f5 C; W. ?; C X6 _]( {, [! h6 O! N( t
let j 0
0 _" X9 V2 M+ E0 r ~% Y7 r( xlet note 04 x; ~; a' f- n' }. q
while[ j < people]
5 ~! ?: P/ G- ?( d! w: U[5 Q4 Y$ V& ?) y# E$ I! J
if( length (item i# d) f4 G$ ?; D. i2 I
[trade-record-all] of customer) > 3 )
/ l! l5 [0 j* Z: W0 l! Q3 G[$ y& G2 c* J( |9 @* }# Z
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)% @7 n, G& s8 {9 j, J8 B
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]4 S$ y x" U4 U$ [
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]; R0 k# e0 N( O- G
]
8 O% \4 _3 P5 s: S7 Y+ T]; m1 E) P6 b _
set global-proportion note6 n; N. ^) |7 j% L) Y/ q4 c Y
]" v9 `6 N! H* z; ?# E) u
end
4 Y3 o+ H& K8 k2 ]$ ?5 W
( K$ q1 L' @. o3 zto do-trade1 _6 n: x& e: ^) E' I7 ^
;;这个过程实际上是给双方作出评价的过程3 v, {9 `/ N2 E1 B3 ~# k3 r$ E$ b
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
% j" L' U; Y, [# Rset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
8 E# m) v, L0 Q- D- \set trade-record-current lput(timer) trade-record-current
7 l! o9 x4 S' q;;评价时间* a( O$ M' S2 A$ x
ask myself [# ~. N4 m0 t: m h5 V4 }2 z1 K
update-local-reputation% g% ]- |/ g: B7 D
set trade-record-current lput([local-reputation] of myself) trade-record-current' `* x" N* h! U: X2 i+ a% r1 N
]
* f: y0 q4 l! f' R, D. _0 J% Pset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself* Y' W2 H1 v3 ~% A/ ^ ]
;;将此次交易的记录加入到trade-record-one中
1 b8 u2 f7 \& \- X9 F. n' |3 iset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
' \- h; a5 q. t# D* l- Klet note (item 2 trade-record-current )6 ?4 l9 A+ \. Q2 L h! F" j
set trade-record-current% D) g: R( x* @$ ~/ c0 I
(replace-item 2 trade-record-current (item 3 trade-record-current))
1 ^5 B1 r1 |8 Lset trade-record-current, y% H5 a( t/ ^! O/ p, j0 j5 z& ]
(replace-item 3 trade-record-current note)7 {/ y- v/ T2 K$ I
2 Z9 n* s) h0 q4 t1 r" J; h' X Q0 V0 R! x3 [2 o* W
ask customer [: D+ J/ n8 S( Z2 ^ V
update-local-reputation( W8 U0 c& `+ d
set trade-record-current
8 q& U: W% x- \- ?(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
/ e; j! \6 I6 T* B: Z]$ a' \' S5 d5 H
7 b- l! v2 q; M) D& W4 N
+ a! Y$ x% @; G* I- fset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer( Q) m& ]" D1 Z
" p8 t* A) A' a% @" X) o! y5 {
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
5 o, N. q9 W$ x9 y* o;;将此次交易的记录加入到customer的trade-record-all中
* @, k2 K% b# H3 `& mend
: W Y; Z! X* C2 H; W2 ~
9 ^. D& a7 D; P- ?7 qto update-local-reputation
2 v6 c) d; X; \/ T1 N+ _set [trade-record-one-len] of myself length [trade-record-one] of myself+ a h# ?1 M5 K) N
. ?* |$ F8 X2 b
4 w% M! q; K4 g! b;;if [trade-record-one-len] of myself > 3
2 H7 `% U& ^ M6 ~update-neighbor-total
2 O( j7 `- A: V6 @;;更新邻居节点的数目,在此进行
' \8 ~* N- X. T* M" t) llet i 3
+ W0 Y. C+ S$ f- Alet sum-time 0
+ r. c" G. K9 y; z( O( q7 Swhile[i < [trade-record-one-len] of myself]
- X% }8 X& @! v. j+ i[
# h( i/ S& R: s1 p7 v. kset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
" ~' M ~7 ?" u5 k8 a: H' _7 zset i e7 V# _2 s( @9 T( ?
( i + 1)6 k2 \2 E* O9 S* A
]
7 c/ t8 H5 s# ^; B1 S9 ilet j 3
1 j& p9 L0 ^- B& p: |% g: blet sum-money 0
' ]0 t2 p5 N) Mwhile[j < [trade-record-one-len] of myself]; a, o3 |; J! }$ F8 @! e1 j) y
[9 C" @' d$ P, ~- n
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)) W6 C. ]: [2 ~, V
set j
) x' g* v( @/ t) H( j + 1)
3 p, A0 a ]' j0 P4 t]
& J, b8 O* a' a) A0 \ B3 }let k 3
% r+ ^* A' f" J. B* ?/ Hlet power 0
9 }1 ^2 o7 O' V, j ?let local 08 L v! l+ y/ t# Y5 f
while [k <[trade-record-one-len] of myself]# x9 d- U8 C2 O# {$ O; S
[% o) H9 C: Y8 |( Y# A1 L/ h3 Y
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 Z9 O. P% \( g( H D. I
set k (k + 1)
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set [local-reputation] of myself (local)1 |0 ]; T6 p3 t
end
: b/ L4 d, E! n5 [% b. e4 ]9 H3 n1 q# y+ x( }
to update-neighbor-total
) j) y' }- p6 I$ Z/ ^& D+ \7 t" \0 i. ^. i/ `7 [
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
Q" R" Y$ ^7 C4 |/ q, r1 L
: K0 C' }5 b+ \2 z$ u2 W3 U) q7 }" M6 e& ?# L4 ~1 U2 n ?
end
; l8 W4 B" Q" C5 Z* f0 f4 Z, u7 \% A4 G/ z
to update-credibility-ijl " R3 Q \1 B, M( e- z6 ?' l
9 z# c' o0 S- p$ M;;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。
6 M. X/ I" u c" s# Q: wlet l 0
5 M6 Y& Q: M, c# z Y+ Zwhile[ l < people ]% O; `2 ~6 [+ x+ n7 p) b
;;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 G+ D4 Y" n! x- M" C, s' }
[
) f, Z, m( c' c o3 vlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
/ i- I4 E) Q2 D }/ k" b8 w3 Cif (trade-record-one-j-l-len > 3)1 }$ H" z" e7 \3 z7 X+ f, E( A
[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
; T7 K! q. g9 }$ i- flet i 3( j" U% s, z1 J$ D- L5 w/ \' ^
let sum-time 0: J: t5 g4 `7 R$ X* ]5 o$ E6 C
while[i < trade-record-one-len]
1 [3 J0 F9 N5 M1 e[# B. ^0 r) b- W2 ~/ j: x5 y2 j
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
' S5 S p3 b/ oset i
; h$ }1 l: @3 S; ^( i + 1)
* Z- w: V4 v5 v# s" m s& B]0 B, Z, y5 w2 \- P! t: E
let credibility-i-j-l 0; R4 P C( ~0 Y2 Q
;;i评价(j对jl的评价)
x5 `* y: _- u2 Nlet j 3/ t, C7 `/ [8 `+ D ]( D
let k 4
% V" d2 W% y7 w! N' V5 x. l, b9 Rwhile[j < trade-record-one-len]
. C" S& [) n, x6 E# f[( w1 S' |) K# N( d% I$ J
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
& q2 c! \, [: Q4 r) m" U8 a) Nset 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)
. E/ N @. Y+ T i. d7 R9 Iset j- k, C& W4 U2 L( f( N1 p
( j + 1)7 {# p! y& v) Y: {
]
3 U% ?6 P. a( W* B' |0 V: C2 V* 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 ))
7 b# {6 {/ D* ^# Y& r* a2 B$ m
$ }8 N# ~; u! r: b5 F9 l$ u/ N. ^& ?: u$ Z2 u
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
. i6 ]# k0 V7 m5 V2 Y;;及时更新i对l的评价质量的评价
/ _/ S1 @3 R% E+ \8 Oset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]- i5 u3 b& b" ^" J; d1 T
set l (l + 1)! \" G6 G7 g3 |
]
/ h1 b& b7 [3 O+ K' Q- C, qend
& U9 b5 ]) v7 l" \# ~9 h1 X" O# _. \% J" j5 @7 X
to update-credibility-list# ?3 A' |" ^$ R. C+ J- r0 P) A
let i 0
* ~ S* ^( Q& h/ m: c Qwhile[i < people]
9 m- }2 T0 F9 i$ x[
0 w+ s! b2 M" wlet j 0% Y2 w8 k* ~' t/ F
let note 0" E9 q+ B( \) g, I$ r& B
let k 0
+ G4 H$ R, }! F3 O;;计作出过评价的邻居节点的数目
- }* U$ b8 L: J: A) L/ U' @while[j < people]( A4 X, l% U# @' `, P6 v. q
[
0 n0 w) Y+ B1 ^# hif (item j( [credibility] of turtle (i + 1)) != -1): v- m+ O K8 r+ _" j
;;判断是否给本turtle的评价质量做出过评价的节点
& A. v9 K' @% p3 M( I1 f1 A[set note (note + item j ([credibility]of turtle (i + 1)))
+ g1 H; A9 }6 G7 T" C2 v;;*(exp (-(people - 2)))/(people - 2))]+ ^9 E( y! P9 ~. d5 `4 D
set k (k + 1)
, n+ J1 l- i: Y; Q- L, t0 P9 []6 ?' z( S$ Y |! z
set j (j + 1)
0 d; O2 A7 E- v( Y8 h# |]
, g! O' f8 ?7 S0 w- g# s* _set note (note *(exp (- (1 / k)))/ k)% v! c, w& P K) B& L5 s# S! ~8 t
set credibility-list (replace-item i credibility-list note)
1 }; b5 j6 M0 s" wset i (i + 1)
) R1 e2 n) M, F( v]
4 q; D4 m$ H8 K# zend
% B$ Y, q4 @3 P
- m3 c/ F7 L0 i) G; \8 d* jto update-global-reputation-list
6 ]4 a+ g2 A1 Plet j 0+ b% L8 ?( t# Z5 s/ d6 B
while[j < people]
# K7 P, J- q, b[9 v X" U* s: K* r$ @0 f
let new 0
4 `6 r0 i- w2 K# z7 {. X;;暂存新的一个全局声誉
0 j( v8 @( p* i' O! t+ ?let i 0# {! d; p3 B& [
let sum-money 0
$ Y5 K; L3 s8 X* G8 Vlet credibility-money 04 M n! }/ ^ c
while [i < people]
: n6 M. S ^$ u% r3 P[
7 H+ r3 F' H/ \* |; q; [set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
" h( w4 n2 j6 h; E3 Bset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list)). ?. M) S- ~6 d/ ~/ j( j7 K
set i (i + 1)
9 [5 N/ C1 b7 X" i, Q]
: k. [$ m8 y7 c( w: P4 ?let k 0
1 l2 o8 T8 B; l: X# ?+ m' blet new1 0
, Z5 l! j. o$ ^# Qwhile [k < people]
% O% Q/ a1 T: p3 R[& g, d1 j+ O9 x r; | s+ R
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)
. P- w+ n, h% F+ J. wset k (k + 1)4 q, I# B3 g. _8 T
]
7 K6 v; `. ~# Yset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
4 q1 q* g2 \( m1 Vset global-reputation-list (replace-item j global-reputation-list new)( p( t. i5 T* C) v5 q% o; \
set j (j + 1)+ @) w% r- ], K# F
]) L1 u2 ~, P& Q$ C: O
end
: N* s& M$ k: S7 R9 d& u' |" g
4 E) }' x' Z8 B/ q7 {: I# D6 u. }3 I: F/ M
+ G# V* C) {/ V' \4 i- b2 v& v
to get-color
4 z1 [ F. _" C5 c( x0 \. ^3 j. y
, Y+ u, w6 b& Y2 W5 \ v. F9 @set color blue" Q2 _ v! ?: Z% g7 S
end( o- p! y8 A, C( ], f( [% Y8 u/ ~
$ [! k6 \6 V4 k1 U
to poll-class* n- p3 l# `. X! L# O
end
$ T) e; r- S& L) z) O, k7 }0 y
( l0 |6 X6 |5 V* g4 [2 V1 zto setup-plot1$ d$ ?% a( r9 O) x" d* a
! K( r. _/ i% i& @set-current-plot "Trends-of-Local-reputation"
2 g' P1 R' e8 D3 @7 T [
) y0 u* ^$ o3 f! U. \set-plot-x-range 0 xmax" l+ T9 O( @' M- ^, y5 J+ A6 q
0 ~& \$ m. Q8 n8 S" _) d _
set-plot-y-range 0.0 ymax
: p' N6 R! j5 D8 xend
# L9 _9 i- Z% f0 f1 x# z X) [1 Y) {' b
to setup-plot20 ~. Y, v( N6 e+ D& b2 k; J8 [
0 i9 _4 c- y( J }5 M9 K
set-current-plot "Trends-of-global-reputation"( G; x( r: q: o1 g- \
% e: e, K |) N3 x8 d8 D9 J$ R6 L. P* b
set-plot-x-range 0 xmax# X" K+ R3 s- G0 v8 K+ Z1 k
. G# |- ]8 ?: M f% x( P! dset-plot-y-range 0.0 ymax
; ]1 F7 r- t. Tend4 R' ?4 ^# k) f9 q, I& S
9 Q& S; C; g1 |) G8 Q# _to setup-plot3
/ E/ p% ~& T+ z% b' a" S" Q% N3 A' h& r4 p5 J6 J
set-current-plot "Trends-of-credibility"6 B) T% u& q9 w, v* [, @, [. c
) l$ M! ^/ z) g! n* j$ b5 ~( @% h
set-plot-x-range 0 xmax% s% O" R% P9 V' q
. ?# ~) i, D9 I9 H9 b) z. p2 yset-plot-y-range 0.0 ymax
8 O; w1 @9 [; }7 a ]' tend# d8 E; e1 y7 j( A/ ?8 v
* x9 f7 ]0 e _1 o) x L. Dto do-plots
, B7 L5 B% s' E; Cset-current-plot "Trends-of-Local-reputation"& b- e- ~/ x2 p4 l- U& o( Q5 N
set-current-plot-pen "Honest service"* n' y' a" V+ f0 N1 ]. d
end9 L! |( N( @6 B" l; |9 G6 M! j
+ w% Q, c2 k! r( k+ b[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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