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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- {8 f* |; a6 o6 s8 k _6 r
globals[
0 p7 s' v0 ]9 D6 g; Lxmax6 K8 i$ d1 x7 y2 \/ c+ r1 A# l
ymax
+ s5 I. Q8 E- k) ~' Nglobal-reputation-list3 D. c& p# Q# |5 b8 a, T1 N0 V2 x
( V# Q4 U8 H- m x0 K* r;;每一个turtle的全局声誉都存在此LIST中
! f' b; ?4 D/ O& L! w: Zcredibility-list& k' Y0 G6 J/ |* T* f$ y* U) J! j
;;每一个turtle的评价可信度
4 p' Z$ E& d7 @7 K- e5 |3 Vhonest-service1 k; r( {! x3 b' B
unhonest-service
! M, L4 V d9 |, f8 V$ C: T Noscillation% t7 ]: \) z1 t' C- ^7 N& J6 e# K
rand-dynamic7 b/ a" M4 g) N. g
]
2 L5 L# N% q6 l$ j1 E9 f& s# d {# L2 J) A- G+ p
turtles-own[
/ f% Z6 d- F9 c, N6 ^/ }# z+ }trade-record-all
8 v. K' L u% ^" x;;a list of lists,由trade-record-one组成
8 N; X. Z0 M) l itrade-record-one; l$ q' A5 @$ y- x
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
8 h ?3 \" N4 L; X2 ~
9 f6 F# x/ N0 s4 A- m;;[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]]
$ f3 S+ A8 p# Z# m% i% [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]8 V6 B- f8 f: G! H% D
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list2 T6 I1 Z# g1 M: P' B' ~
neighbor-total- j" l) i: J8 l' D+ L
;;记录该turtle的邻居节点的数目
% Y1 @% f, J/ f" b! Rtrade-time3 ]' {2 v" c" h+ b3 ^1 N+ a. f
;;当前发生交易的turtle的交易时间
; Y$ p! Z: Z5 U( H9 h! Cappraise-give
- \/ }* m1 E4 `;;当前发生交易时给出的评价' B& e/ Z7 g: y
appraise-receive7 X {. h/ C( d5 z
;;当前发生交易时收到的评价
$ y# R* r: u: J G3 D5 g4 Mappraise-time) v: f: c8 `5 F E
;;当前发生交易时的评价时间
: r" `- M* R/ F Hlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
) S& x4 L# |: u8 N& a! Jtrade-times-total/ P- T2 Q7 F1 G6 x1 p, ^+ P3 f% L. T
;;与当前turtle的交易总次数. P+ }- z1 T3 {/ d5 ]1 r: k
trade-money-total
9 T! `, G# i, |, `8 e;;与当前turtle的交易总金额% W" E2 e; K0 K; W9 g
local-reputation* e; k; j! |$ [# N
global-reputation
9 T) s+ m7 R, d$ Ncredibility2 g! }$ d; K! v. S3 x( C
;;评价可信度,每次交易后都需要更新
5 U6 i9 h/ w3 B; ~/ l( Tcredibility-all
) Q4 q: i) y% G7 n9 p( }4 R;;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
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;;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
1 e9 ?6 x, a6 x' R5 s! R; xcredibility-one
: X) U- U% M3 _- z;;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 g7 }( c9 J3 Iglobal-proportion
9 Q- _) i. x. S) j1 Ycustomer
: l; z1 _2 n$ n" ccustomer-no4 t2 g, r- B' Y9 V
trust-ok/ Z5 X( N* g! r2 h! T, f) C
trade-record-one-len;;trade-record-one的长度
0 q3 n7 Z- C; W8 C]
$ X) i+ Q5 q9 y) O* B8 u
7 G5 }' p4 F3 _+ H;;setup procedure- V9 S7 E! U. Z
. D& P3 B8 p/ I( Y; P) O8 j4 J2 eto setup
8 e1 P, k+ _' ^ {5 Z- e/ r$ t4 g/ i V# i' T: j% N
ca
+ m! u- x1 q6 X9 ]% S+ y- R$ b+ }' E/ ~( ^2 o2 k
initialize-settings
: F& q% b( ^1 S5 D8 K1 @5 b. l s+ U- Z# ?
crt people [setup-turtles]
) D6 x, ]$ D2 T, ^0 r' [2 Q* s( x' @( X$ S
reset-timer$ z1 ?7 w+ k! R: {
4 n! }1 y( e+ H: K# v% [
poll-class" _; U8 y0 F' r# z: }
) ?$ v) R% W7 d" z) \. }) O% x) E! ?setup-plots/ |' Z8 }# z' s$ M% g
% N1 @/ `' }0 d1 Kdo-plots
' _6 J2 b$ y u0 Y8 |5 G Y$ K0 iend
. z: z7 e8 c. ]8 X2 ]; K7 u1 V" S$ }8 V' a/ U7 g
to initialize-settings; ^# J6 |% w2 \9 L
2 _6 u3 O5 S$ l3 sset global-reputation-list []
1 I6 ]2 {! Y6 o! y( k( n( Q
' b$ | w5 k1 d6 F+ t4 `5 W% tset credibility-list n-values people [0.5]9 o6 b; V' [ v+ \& S% ~
$ c: R8 [9 s) J- }set honest-service 0
1 K8 ?6 o; B5 v6 l+ B
U5 M. [' @; f! B! Tset unhonest-service 08 ?& f" T/ u/ d6 V
: }! Y7 V7 ~8 N) E$ ^
set oscillation 0
. z1 u) h; f" O |1 U! M @2 H8 x ^5 P& R+ ?. R
set rand-dynamic 0
% f" d+ [0 I0 Mend
; e4 x5 s: w) f
. G- N6 d6 r" g. D4 z, X* sto setup-turtles 5 i( Q [, |. \' ^; A
set shape "person"5 s+ H0 |5 s. g, m8 t+ a4 B: d
setxy random-xcor random-ycor. L. g+ R$ K% L- ^! j" R( v
set trade-record-one []
" a' y" L( c( L" G/ M9 I4 u% b0 o6 z' s: Y. {9 x
set trade-record-all n-values people [(list (? + 1) 0 0)] ) s/ H; a( j$ K1 e6 p4 a* y
! |" p! ? |5 n' q. vset trade-record-current []
. Z8 T. Q! {& U& }6 {' yset credibility-receive []
# U/ S. Z& a8 l( u* n- F: Zset local-reputation 0.52 V3 B3 n, v$ o2 Q0 Z
set neighbor-total 0
5 a; H# s. l# ], J' Bset trade-times-total 0
8 [9 h" s1 E8 Y+ o( F( E" G' gset trade-money-total 0( E: Q" [* t/ `. J( q& S0 b
set customer nobody
/ r% `: ]1 o, I' P5 Hset credibility-all n-values people [creat-credibility]
) G; ?3 u, P: M+ R, n, mset credibility n-values people [-1]
4 K1 n# T6 W, e- W/ E8 sget-color
& r: U& @, \2 L% R; ~% I7 v f/ n# o6 ^" u2 y( Z7 I3 C
end
- Y) K; L% p q% R0 r
, ^1 Y, Z- ?, ^/ {# a. [to-report creat-credibility
& O6 @5 v; M- R- e3 V" n) k: u; ]6 Greport n-values people [0.5]
; N! ^# L0 N# j7 P0 {8 S$ t ^end( T0 m5 J* l9 e0 b ^- A! e/ X
. a1 e* n/ L% H$ R( K ]& N9 ato setup-plots
* n5 H- B/ ~3 P& _8 I% u7 h. k* U/ _$ l4 G+ {
set xmax 307 [6 Z" y. n; Q" ^
$ S% f7 p0 S$ H% m# I0 v% r
set ymax 1.0
: a) K8 H/ H q2 T2 E2 x& Y
8 M/ _9 g; ]. l4 c4 \+ }" Jclear-all-plots4 T+ f2 |7 _# o4 _. s
+ G' ?7 D8 ?2 V" |, x1 [' F9 Jsetup-plot1
; |# x( f2 F' N1 U8 J
% O: J- x# `/ u% y( ]% y, [setup-plot2
: P4 K4 t5 B0 X4 R
7 I- J/ {- J6 _ W% [setup-plot3- D+ R& t5 f' |0 z5 h( S& g
end
$ t, [: P1 U& r O7 h2 u: L
# |0 S+ F8 L- V6 P' k;;run time procedures" ~9 X3 e8 ]0 a, X4 s }9 W. z
4 C4 I+ H F; Pto go+ Y/ Z$ Y7 J2 p$ l8 Z3 @/ d( G
' c% M) {* B, _9 J9 K! Qask turtles [do-business]! J# I; N0 T( q' P. O+ J2 v
end
+ R' g% {2 e# L
6 J& A/ ^2 M( B5 ~2 }- e9 h1 Yto do-business
4 ]7 X+ M) M' N: y
) G, D4 G* t! C$ z9 N) }$ l% v+ P4 B8 x7 K
rt random 360/ G' [+ e( U" Q" u3 M3 [, s" |
; d$ f' b* w* |6 m& P6 h/ xfd 12 |" w7 j3 u2 u/ E
$ f: p4 H- c: t8 S0 jifelse(other turtles-here != nobody)[
( H, k7 C6 b4 G4 f ^5 p, Y( ^0 s
2 |! I" _: e/ W$ y! X( x6 Lset customer one-of other turtles-here
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;; set [customer] of customer myself
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8 a- |* b9 |8 f: ^7 m* ~" Vset [trade-record-one] of self item (([who] of customer) - 1)
+ K5 ]: G& `; p[trade-record-all]of self
' h3 ~/ t( C+ Q+ a+ w;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self1 j/ N, ^4 S8 Q! e. H. o, Z
4 s: ?' |, \3 k) f- T1 Q* e- O
set [trade-record-one] of customer item (([who] of self) - 1)
8 X: k! _# [! i1 y Y% T$ S[trade-record-all]of customer
6 d6 M/ x# [7 J3 }9 _$ w4 H: \6 t8 J8 u8 i; u8 J' ]4 g. i' X1 C
set [trade-record-one-len] of self length [trade-record-one] of self
. K4 X' n5 Y( q3 f. Y, B9 x
; [ O- c7 A4 N; l" _) ~4 gset trade-record-current( list (timer) (random money-upper-limit))9 n% n* D' U1 f3 O% E
4 _- G- s/ m/ f4 c
ask self [do-trust]
3 ^* A1 J+ g' d; [/ ~;;先求i对j的信任度. {. P7 i) P0 A9 a* z
4 R" k5 b" D) R9 n+ t: Vif ([trust-ok] of self)
4 _+ A9 b0 M" J2 L0 X;;根据i对j的信任度来决定是否与j进行交易[
+ K! u K3 ]" k R, z' E2 qask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself. ]5 k# L3 @% e0 R4 y4 E
3 P* X7 L p2 [+ P$ ~[
; q, j% E- H) I
- |/ @* a# a! m6 Edo-trade
' c. E1 N L, w3 g" F
2 S$ d6 W V% ] w, e( P& ]+ C' {8 f! tupdate-credibility-ijl
2 b, G& W+ N K( w: H
; |# E* I3 d1 s# z% @update-credibility-list! ^- J5 e0 A2 d/ ]. j& E/ A9 b; \9 G
$ |' J* L5 j% R' T
# G1 K- V1 \0 Cupdate-global-reputation-list
- F3 p5 f) h% f) I; j* _( F0 j% J3 @* i: I# y5 s1 f# n( P
poll-class
1 O; ]: M$ H3 g9 Z
2 o+ A {6 F6 A8 b/ i; @get-color) O P, q7 U( @4 y
6 r2 s2 r& N ?% G" Q* H
]]* q4 u7 w* N9 @3 {- @5 U
( Y% {- |% L! a7 B0 v8 R
;;如果所得的信任度满足条件,则进行交易4 k7 ^ I% L8 c% x# H/ z) U, O
: y+ a6 t1 j4 T' G0 F
[" p( @) R6 |& R0 Y# K8 H
& F2 u- C% e7 j2 [0 _$ o9 o
rt random 360. A: Z) S) Z6 x, p# e
Z$ D! e4 ^( X' h' c
fd 14 F, d$ ^* `7 K/ N2 D& p- r
5 n) O; \; n m+ N/ l; k
]5 U( L, k- _# e* G7 j9 z8 l+ m1 n
/ B' p# g- M8 F# g$ s w$ v* w+ \end$ r% N: p" f" \0 U% I8 ?
4 k7 o5 I$ Z6 @to do-trust
8 g/ h. D; x5 p. x$ v$ Y# Jset trust-ok False
) R+ }! i. ~4 m6 h T2 A7 M
9 d& G$ K3 W' z: L |+ b# g7 F8 m
let max-trade-times 0. P+ @7 ~. d7 s3 l r
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]& H. t3 }3 V& M+ Y/ y C" r/ G
let max-trade-money 0
% S2 L1 e3 A: V$ Rforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
1 ~* R! [3 d3 X! llet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))$ }4 Y' ?/ s! Y' m6 S
7 ?9 }+ ~; \" ?0 r
' e& \& {0 x( N
get-global-proportion+ H% K0 K" h G; X
let trust-value7 o$ s1 y# h1 r, P o+ W6 K6 _/ W
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)
* Z' ~2 O+ K( S% W- G% Lif(trust-value > trade-trust-value)
0 K; y2 `, J0 p% g$ r[set trust-ok true]( `8 q+ M8 h- d* O" a3 o* e
end; W$ O5 G, T! p
+ j I; ?! F# p5 J/ _9 {to get-global-proportion, l9 k7 i7 C1 b* K; x- p9 s
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
! G/ I9 j6 i: @) ?. {5 E[set global-proportion 0]
+ ?# T' K& U5 s4 |' M[let i 0* z. ^' f+ n3 N3 q( E
let sum-money 09 H$ m0 P6 _) K/ ]
while[ i < people]
9 Y: t, F, B- u2 P) I[" e# f8 f3 M: T" T
if( length (item i
# _9 X! J5 Q( w, j" q[trade-record-all] of customer) > 3 )# P+ C5 O/ e0 b8 g, L; i4 h) L [$ t
[
( j( p) C' B0 M3 }, D nset sum-money (sum-money + item 2(item i [trade-record-all] of myself)): y) J, \' r) L7 I- _8 q$ b! l1 @
]
A7 b$ Z3 `9 m" H8 Y% y0 [- {, \]
" b2 W& P+ i9 O# Y7 mlet j 0
) U7 o( e1 d/ l. i2 [$ N3 ?let note 0
6 o. i7 O( l4 l& S2 }while[ j < people]
! C$ g. E# Q# }- U[
` i4 s* M" r" [4 B% Eif( length (item i
( \, ]/ c3 {9 `' R0 d; E; X[trade-record-all] of customer) > 3 )5 C! W, `3 H( O2 T1 `' O. X
[
% j. E& _5 G& t1 hifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)" [$ K) ?( Q3 @) ~
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
# o/ Q0 E) ?& n[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]0 W4 |4 \( y# e: H( ^
]: }& S3 |$ ]& _- V7 S' M
]8 J3 a, _0 O# H5 a) k3 j
set global-proportion note2 @ W3 \! u: k, E
]
: G; z! N# }& s3 xend
1 K+ h8 h% @% t6 O0 ?' E- V( [
( @9 D! u5 J9 d! {8 j! vto do-trade
. U5 ~" t- s$ J8 \, i& [;;这个过程实际上是给双方作出评价的过程8 |: v4 J* \6 X
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价! b3 R; q X* f6 X
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
: @% g' f& i1 q7 t0 y D2 }# R5 uset trade-record-current lput(timer) trade-record-current1 q0 D2 @6 C7 o/ x
;;评价时间. ]: ~' ~5 d* {$ V
ask myself [7 {" S% N( E' ~- E
update-local-reputation/ u# ?& ]. [3 w( w D5 b& V; v9 O
set trade-record-current lput([local-reputation] of myself) trade-record-current
" r7 B$ f. ?" G]5 {2 G# k8 ^: u0 V
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
, a. e) U: A& e0 O8 L5 I5 l( w;;将此次交易的记录加入到trade-record-one中
+ |7 O$ d6 v: Y" u3 r# q+ qset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
" ]5 }% a5 ?9 j% i t2 f( @let note (item 2 trade-record-current )
! Z% \5 ^! y! p3 t% _: {set trade-record-current
* ?6 j% d% u, |. e( V0 E, ^& X(replace-item 2 trade-record-current (item 3 trade-record-current))3 l2 U/ O$ o" ^$ Z( l& F
set trade-record-current# y$ h: V5 G, y& X. G: i6 Y) y
(replace-item 3 trade-record-current note)
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5 k7 {+ x3 W4 B, c
/ n1 j+ j D0 x# j7 G9 Cask customer [
+ P( H6 t" P/ yupdate-local-reputation3 _9 R# ?" c4 s
set trade-record-current0 u/ X0 d; x. t3 Y+ ]- m K8 L
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) * ^0 }0 X( i. {" \+ |; F
]
) {4 G2 y( k# I# t/ b! \. i
5 W: P0 y* x% b; M$ p
8 u/ P; @8 w0 }% q3 v7 P$ R: ~4 Aset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
# h6 C( W+ ]. `' d' t L! \9 Q' V6 |; m! p8 m: N/ X
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
* j% b1 D7 G! P \2 V0 l;;将此次交易的记录加入到customer的trade-record-all中: {+ G8 u$ z' [! j' P& ^ [. j
end& V2 |6 S Y, U s
" A- {% h6 r$ \" ]0 G' @* Bto update-local-reputation2 ^; v: j# W2 N! e
set [trade-record-one-len] of myself length [trade-record-one] of myself3 C1 v' q" S) B& W
$ p1 Y0 V+ H {' ^5 d9 L! J; w) N# g- j
;;if [trade-record-one-len] of myself > 3 ( x4 }; ` y5 h# `& t+ i5 C$ z* L X
update-neighbor-total
; a. `# L) Z5 U3 q& ]3 M+ S: d;;更新邻居节点的数目,在此进行
) ~6 r- {0 O" v1 c2 ylet i 31 K6 z& U# L: I( }, B+ j
let sum-time 0- A* L2 `( o6 ~
while[i < [trade-record-one-len] of myself]2 O' _* X R# |6 U2 u* V
[
. L; _2 U0 ~+ _0 C" o3 Kset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
3 U# y8 P" l7 A0 b4 Zset i. o' A1 ~/ T, Q+ u: X) M
( i + 1). M$ W- |% s8 g
]
, ]( g. t4 ^7 m& N; {' Rlet j 3
! S/ Z( R. R' plet sum-money 0
6 q8 P* [5 Z- x' Hwhile[j < [trade-record-one-len] of myself]
$ m2 \2 X# u- N% ?+ l l" [. {7 N[
4 d+ f8 @. D6 X! [/ `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)
2 @, D- P$ _) b6 B: n9 v: gset j
+ H% X9 D7 F0 d3 i( o* q( j + 1)0 Q( f- H; Z ?! ]: n& K3 d. @
]
+ A8 m, t" ^5 n$ H; alet k 3
' F3 w2 r1 B4 nlet power 0
# u! G, [7 L6 Wlet local 0
0 M' i' s8 J$ Z. Z5 U( b: O2 Qwhile [k <[trade-record-one-len] of myself]2 W8 W% k C+ n2 k
[& b, q2 z7 m3 B% F; z d) U
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)
9 p" g# \9 `6 w/ h# M1 W- Iset k (k + 1)' l# v6 O. ^; r- {
]: P& K; T$ k; W& q9 A4 m0 U
set [local-reputation] of myself (local)
% |9 J; ?/ v. W6 Hend
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# S# ~, R( w2 I, t: h% i6 rto update-neighbor-total( s6 ?& b) h: N% a; a9 J& E
; F; j6 R! O/ g4 W( V% C
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
$ I( i3 l- w( A- e! t$ B
- k) H# ?, C" K& P+ r0 B d
6 H- T/ G, r7 E0 tend) }" x3 c- r# V( Y) R% p1 J1 _
o: }! ?6 R2 o4 ~ c7 Jto update-credibility-ijl 3 x5 U0 L7 g3 L' w* B* A
5 B9 k) t8 k$ p3 K
;;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。
! o' A1 H: [9 q" o, E1 d. B4 [2 V4 Q! ilet l 0/ x" y1 x: Q1 n0 ?7 c v) V8 @' d
while[ l < people ]. F5 R5 D' i( v! V8 v b0 T
;;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
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/ l' R4 w& E" K4 {. glet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
. l% _' g9 e7 X, v% \if (trade-record-one-j-l-len > 3)
8 W# `" J0 e& Q9 N7 m. q8 |[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
, e: g6 w1 Q7 M+ |6 \: t/ V5 Clet i 3% e* Y" ~( e. j. k0 ? z2 K3 H9 R
let sum-time 00 Z1 ?7 r2 v/ f' T/ N! d, l, G
while[i < trade-record-one-len]6 Y5 g1 l/ t1 b& o, F
[/ X! h+ T/ B3 Z. |, R
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
/ P+ m. r9 {6 }$ ^8 @/ \ P& `set i# K' }1 U, s' w" ]
( i + 1)
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let credibility-i-j-l 0" g9 A% B* H1 _2 u1 G" _
;;i评价(j对jl的评价)
: f% u" z6 P8 `% C2 Vlet j 3
( r: r* c& L0 u" O: Z6 P7 F5 T$ j9 a3 klet k 4* e- c$ [. t2 \ z# z
while[j < trade-record-one-len]8 b0 ]* L, T/ |; H% `0 D
[7 d; j) L; p# ?5 y% {& d* F
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% h+ O% |. b: k# a4 [: c
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)
$ j& o: \3 q/ y2 }. K% |- i; |# X$ Lset j
4 o) i4 }; ]+ q( j + 1)& ]$ W5 K# z" {+ S7 y" p# V" ]
]: W" @) u2 b, F0 q* \4 O
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 )); j+ g! N9 p/ W" U; H4 v. ]
; q3 ^# f# P9 u* O! x$ ?
3 U1 Q2 M& m. h7 A' F) M6 X1 L
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
' l( A v9 v* i$ }9 \;;及时更新i对l的评价质量的评价5 g2 P! v( ]! z. ?0 y9 P7 s) a
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]4 n3 S g- U/ O/ N8 N; k2 R
set l (l + 1)
. g: s. }1 ?' d1 F1 y7 I. H]1 ?6 i( T8 |9 b+ ~6 N
end$ z }; M* n! z. @2 C" @
1 A6 u& {7 Z1 M3 \) V0 K) ?9 eto update-credibility-list
( n' F4 e" K& W! F6 glet i 0
$ p# b; k: z$ q' bwhile[i < people]8 d% h) Z: Y; ^! W$ Q; T3 ^/ V
[
' ?5 x, P. m- B7 v/ O2 ~7 Rlet j 0
; ?$ ^, r" a/ n( Q" V7 Slet note 0
0 g! l0 R/ Z/ Q4 L- `let k 0
1 u3 O5 f1 c( m4 I1 t;;计作出过评价的邻居节点的数目; p7 V/ Q$ w: ` q1 [+ A$ |
while[j < people] p& u2 }2 f% S" C. d
[+ l J) W0 ` w+ x
if (item j( [credibility] of turtle (i + 1)) != -1)4 s2 x- X1 i, z7 q6 m
;;判断是否给本turtle的评价质量做出过评价的节点
- U0 J9 m2 z! R[set note (note + item j ([credibility]of turtle (i + 1)))
8 w0 t, I9 ]' f8 y+ r;;*(exp (-(people - 2)))/(people - 2))]
5 e* `8 h0 b6 G& C U* Fset k (k + 1)
/ G* |, b' G4 s" B5 N% s- z]
1 d5 n7 ^8 T/ l. Z* Y( H/ Yset j (j + 1)5 X) Z6 w; { }. x+ b$ V# f
]
0 O3 A2 F/ h/ k& a. i+ Dset note (note *(exp (- (1 / k)))/ k)" t% e& G% A* q
set credibility-list (replace-item i credibility-list note)
( D/ V! E1 D+ j, e9 rset i (i + 1)% L }5 j4 h0 X: m5 J
]
: {* G& @4 c! b& V0 o+ n: V1 jend
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to update-global-reputation-list
9 c7 J+ J$ R/ M+ `let j 0" o8 B, I& ~; |
while[j < people]
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let new 0
# t, R$ I- F4 o5 q9 @;;暂存新的一个全局声誉" b% a% A& W7 O' W
let i 0" L/ D8 {$ b& l3 p1 L: g
let sum-money 0
/ N- E4 W; ?" Plet credibility-money 0" h, _: C# L4 W0 P# y1 e! h7 y8 o
while [i < people]9 D, N* ]7 T9 @ S
[
# `) t/ E7 i$ c; {3 b' nset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
! L8 j% g' W5 H. G7 X% Jset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
/ L5 ^9 G6 G+ _! o4 t/ G' J Xset i (i + 1)" j3 X# l( \' Q F6 Q; u
]
9 O& d6 f( E; y+ t6 v4 O! q) H# {let k 0( v1 x6 h* I; V$ ]! L
let new1 0
6 O. n( ?2 K$ a( g: R6 Y. Dwhile [k < people]1 m3 y9 P D6 O* q# P7 L8 z2 |! ^
[! B" X9 D/ u& x& V; ?' C/ k: K
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)
. R7 N1 C& s! A7 yset k (k + 1)1 \% P0 Z6 i6 C8 n6 x
]( \# [* }* P+ K( @
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) " [0 x$ x$ z; \6 C2 O
set global-reputation-list (replace-item j global-reputation-list new)2 g- l% W# }4 d5 Z
set j (j + 1) O& q" R) Y# Z, y3 U3 P
]
; k8 V6 _) {( E" C1 mend
{" z! t- G$ Y0 \2 E# y$ w, S6 b7 ]4 P3 u$ Z
2 D# W8 m6 j! [) v5 ~ j
% x+ ?/ m' d7 }$ Ato get-color1 y9 H: b! i% l3 ?( g. ?
, ^) C5 M$ L8 z! u6 b
set color blue/ Y5 Q1 A5 z9 I, G' @* S7 |! H7 d
end9 A7 i; B/ W b# H8 |, f' c
' O* m9 ~( V1 |1 n
to poll-class
" B k' A( n3 Z5 t0 x$ v9 v" v O& Dend. G) C' N% M3 _2 N! D- A! `+ d
, j: z, v, C3 P% M% Eto setup-plot1+ j: F0 g: N0 z1 k1 _- A& r
2 ?; D% h& h" i8 n5 d+ Oset-current-plot "Trends-of-Local-reputation"9 b3 V% d2 V5 x) e8 ~
, a- v" N2 q% L/ T" y7 T& Q' S/ wset-plot-x-range 0 xmax4 {4 X# d+ R0 n
( \( n; r% a8 B# ]set-plot-y-range 0.0 ymax
) m' }+ S; k+ s9 \: R8 c" ^. Cend
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l7 B( \2 w, s& y) {to setup-plot2( O. e" X8 y! K6 [
/ Z0 ^$ P* O; Y/ s1 f/ X; m& C
set-current-plot "Trends-of-global-reputation"+ d( V# R$ W2 P1 P6 d6 p$ \* w' F. u
; k9 W; O! d3 O
set-plot-x-range 0 xmax
, |) {6 ]2 r, K, h. x
3 I. l) N* M+ q- a7 J: F7 l lset-plot-y-range 0.0 ymax& @8 S+ U/ o+ W( x5 a! }
end* E$ e) D/ S" ~8 s
; h! p& f0 q6 y' _
to setup-plot3
5 |( Q$ m* g; r! p t5 x: }: _% {
& {9 j# _) B' N+ c6 e% ^, dset-current-plot "Trends-of-credibility"2 r1 y( f; w! I3 B, T
2 G6 D% ~0 D1 ^' w% E! a* B. c
set-plot-x-range 0 xmax
3 K, W$ Y/ J+ o' ?. ^: f; z7 e9 j& L/ \ @+ H, u
set-plot-y-range 0.0 ymax
/ E% C8 @# J5 Q8 I+ {4 G! X7 kend( Z, r% E7 n1 E a
/ C/ i, p3 b, q, C, R
to do-plots
( l/ ?4 f1 K; z8 T( ^% iset-current-plot "Trends-of-Local-reputation"
( u0 i# H! L: I% R N% ]% d" ?) m2 R% Wset-current-plot-pen "Honest service"
; T% n$ M F& Nend6 U6 P- s$ E1 ^$ k7 \$ `
' c& k- W' ]; {- p[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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