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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1 f8 o5 e8 v' o8 [4 K! Y5 F% P& g
globals[, s' V6 u5 i, a1 J' q6 u4 e
xmax- P5 b, |$ m& _; y* Z
ymax. _# f/ D S! `$ w+ q6 y! E
global-reputation-list
$ ?% |7 l; s9 _- g5 q9 R0 k \* q: e: T% J7 I6 |3 g* M; D O8 D
;;每一个turtle的全局声誉都存在此LIST中
8 K, C8 M& `; Z5 x' ]0 Wcredibility-list) r3 U3 |: v! Y) Z" C/ f
;;每一个turtle的评价可信度
# Z4 Q3 \% J/ z7 _6 e; khonest-service
$ F9 O' Y+ X& v$ G/ punhonest-service
! A, T. G. t# Z/ `oscillation1 }; a& f# g* |; A1 P7 p
rand-dynamic
. i. l) |5 ]1 \; u4 C$ c9 []
2 |# A# d9 k) D. w. \, ]4 i" ]$ X$ E; [9 X N$ [9 [, z% M
turtles-own[+ J9 \2 I: A l0 P7 |& h
trade-record-all
# V7 |- I- b# |, D2 k1 b;;a list of lists,由trade-record-one组成
; s! t, ~( Z/ }( V4 _6 d) C Jtrade-record-one
0 U- y2 k% y1 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
4 }0 a5 C ^% _! ]( _) d& ] C0 b' a! y5 i+ _5 C/ e
;;[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]]* `! d) r) ]# Q; S: t
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]9 d% ?0 j& ~2 a! T6 R& y4 V
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list0 T0 N/ B( b* W1 D
neighbor-total8 Z$ |- s1 @0 ]1 U% z+ g( r: {
;;记录该turtle的邻居节点的数目' Q3 N ^3 r, e4 e2 ]$ U3 y
trade-time/ J; }( a- s6 i
;;当前发生交易的turtle的交易时间8 Y( X9 Y, \6 Z& w5 P$ X
appraise-give3 t0 `1 d ?& d% @% O- E4 _
;;当前发生交易时给出的评价3 E. `, k9 J: H) Q2 y; h+ C
appraise-receive
) F& N* ?% h& p;;当前发生交易时收到的评价
, ^. I8 v) u; ]7 S& aappraise-time# Z7 k! H6 u+ ?3 {0 P, O* l* G# D
;;当前发生交易时的评价时间
8 g& ~- ]4 G3 l4 Hlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
6 c) g4 U {7 Htrade-times-total4 ?! S+ ^) `2 z" L1 R. J! H& l2 w
;;与当前turtle的交易总次数4 N% b9 d' K1 M% O9 }0 w/ V$ d2 F
trade-money-total2 K! J! ^$ J: }, [2 K. p
;;与当前turtle的交易总金额
9 x' [. W1 V2 ?local-reputation9 X; U( I6 O+ _8 F1 R
global-reputation/ R) W! B4 o5 L! b! z; R2 n4 m
credibility0 m4 g# G5 M, w: C! x
;;评价可信度,每次交易后都需要更新3 u( T- O3 l0 J' G! [# |5 y8 o% ~
credibility-all
4 n. f8 k- S/ {% O) v1 F( z/ w: h" 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1 A* `- @$ f& W0 K$ c8 m; m# ?& R; E
" o _+ Z- X0 C( r* c;;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 |6 R- d. d: N+ C+ L
credibility-one4 L- J( u( C6 \2 R
;;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2 S; x/ P1 E w+ f
global-proportion
- q% L& f- m! Z k8 ~; L% P. hcustomer
3 H- V* t* Z$ s& Z" B% j# S, Jcustomer-no
6 ~& p' H, f, q- Z$ Htrust-ok4 S- Y8 J3 p' ?% G% c7 Z
trade-record-one-len;;trade-record-one的长度# i0 Q$ H1 g# S/ y
] p E/ x5 L( c* n
, S3 Z$ v0 E# P% D) O2 H;;setup procedure7 @% O4 t3 p% J# E+ e( n6 N
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to setup% r) |, @9 ?2 W: ]' \1 d" v
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ca7 L2 w# I/ }/ C' R4 ?! o$ ^
8 M Y5 S$ r: [initialize-settings
4 b- g7 n) W- O
: n- [& L- @$ S! q7 p% X% ccrt people [setup-turtles]
1 R9 Q4 w, ]" a7 X" L
) D$ a N2 }* a* l& S$ p/ Qreset-timer
. Q# d2 v6 j% \% h" b$ e) i2 q; f1 ]# j7 K! x2 A7 T2 \" y/ q2 t% F
poll-class+ T" Q* x! X+ B/ ]' E0 e
) C5 P4 V! i2 U& v/ E! W5 y
setup-plots
: y- h2 l5 X# Y; ?& g
0 y0 \8 e' c( R g8 _do-plots
$ ?* P, d) i! R8 @end
: a, {$ r3 L- n* n; o# j- `6 {) @! z' w$ v9 s1 q6 R5 {! d
to initialize-settings
* Y( V! f2 ~; {' O0 j
0 ~1 l/ X# Y7 H# f* Mset global-reputation-list []
$ ^, k9 K i6 v* D
2 D$ o1 Z; D' U$ v# T; @set credibility-list n-values people [0.5]% F! W0 _( Q: z7 x/ C
( C* `7 O* d) U z3 [# o8 h" A
set honest-service 0' J4 U9 S! [1 g+ e- P- y4 u
# D* H9 o* D( h& b$ P2 T# b
set unhonest-service 0$ c1 i% V7 H8 M* S
T; B; U* r+ n0 V" B2 ~/ V- w. q* P
set oscillation 0
/ S6 k' |4 I: G' K/ r& Q+ w' S4 g3 P3 q/ r
set rand-dynamic 0# V$ O ^; e+ J# O
end
; G$ z# i3 K+ Q
2 b9 ^& \: D4 u# ^+ Vto setup-turtles
! N$ J% L3 K7 U8 ]% \9 @: b/ nset shape "person"
2 h, T2 E4 u3 _, O- e8 Zsetxy random-xcor random-ycor
* w7 }$ V1 h8 F" q' n+ }set trade-record-one []
. O! u3 k' f2 m. A" s: O& ?6 k# j1 F5 i! r( _7 X0 ?5 I
set trade-record-all n-values people [(list (? + 1) 0 0)] " C7 W! Q" Z3 ~) c# t, m) t ?
2 V; N# y: @- o
set trade-record-current []/ B9 o0 W# T& ~0 g) C
set credibility-receive []! N$ u) g5 k, k
set local-reputation 0.5- r2 _4 ]3 }3 ?
set neighbor-total 0
! q5 `/ a, O( Y5 R& ]9 Hset trade-times-total 0/ S6 s. t* \# {3 A/ ?; q
set trade-money-total 06 r9 @7 a( F* o8 Q8 p N0 a% y P4 f
set customer nobody; E' y. [ G' @+ I& Y2 ]
set credibility-all n-values people [creat-credibility]/ W: S0 o0 r- u+ w0 D. p( W" D
set credibility n-values people [-1]1 V) u- f7 y: F5 l/ y" Z
get-color( \" n' y' g. e }# b" k
% `9 C9 o P$ X8 ?* B* Q. J `
end3 ~8 T, ?' C8 a d
, y$ j) O" t8 T8 x) c' j$ g
to-report creat-credibility) Z. R! v9 d" r- I Y* f4 n
report n-values people [0.5]) t9 l9 K6 G- d$ n: k% ?
end; @# R j9 r$ }5 O
2 \% l. }2 V5 [1 G7 rto setup-plots
' A0 ^$ I& l" h$ q: I4 E+ R# x1 h0 l) z5 I4 M: x, D
set xmax 30
$ X/ i R3 T* Q' {$ \5 S( i0 f* {$ T
set ymax 1.0# k( y6 ]+ a+ ^4 G; G8 I( }. \; |9 Y
+ g& _5 r/ W/ j% G6 Q* `
clear-all-plots
* x+ L, c1 B5 L/ G" L7 R- J' T. D
+ A2 A; @! B5 i7 q+ e" s$ S+ `# Ysetup-plot1% M% W: Y9 b5 ~1 n
7 @" S F8 A, Y. ~setup-plot2
* \, o5 g4 g9 N2 l' g# y1 T$ ?; C# [
8 Y7 v& \5 Q" [setup-plot3
2 X' n5 M! ~4 K2 U1 o, yend: \% b1 O- l, o8 y$ C2 k/ X& n% B
- P l3 w6 i& P& ^% Z;;run time procedures
7 l I6 U7 ~* p
. L4 e3 K5 H! }* ~8 H3 Vto go
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ask turtles [do-business]* o0 V( C' E- I$ z
end+ P: g' q, F" B
3 L, H [) p5 r0 e% v
to do-business
5 v2 s4 i; g: Q$ d, o, R1 R% g* d
/ T' G. T/ \6 D; ?* W- [7 T8 S2 V" U) v* `1 B7 Q9 l/ X: f* ~
rt random 360
" _+ G$ S6 O3 ]4 U- b& [
$ X. S& |. r8 B/ X Xfd 1
/ A/ b' a. `+ Z: n: ^# q
: ^ Y6 w1 L- b) R ]- }ifelse(other turtles-here != nobody)[) C( z1 D% N& p' N; V6 }0 Y7 n
" U0 V2 F' O* e! V$ M
set customer one-of other turtles-here U/ m2 ^( x; {! l9 Z
b4 U: ?6 R! ], Z;; set [customer] of customer myself
& ?7 K& ?- V" o2 _# i
5 [4 W' H) G/ L" b# H, r( _ a wset [trade-record-one] of self item (([who] of customer) - 1)
2 t7 W8 l; H! l! d5 {2 m1 y[trade-record-all]of self' M6 Q% N0 r8 u- r' a& P
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
* x/ j' g* e* s/ Y- D9 i) b/ i$ x4 E' y) S) n/ n7 s* i( _. S0 _
set [trade-record-one] of customer item (([who] of self) - 1)* W7 d$ y$ t. [8 R, }
[trade-record-all]of customer
9 a1 z; \7 |+ g
: K" s$ k5 V. Q- [, r1 N- E8 Mset [trade-record-one-len] of self length [trade-record-one] of self
/ S. A9 [1 q3 a& w" M& l; s# X, D% e' p+ [9 U4 P
set trade-record-current( list (timer) (random money-upper-limit))3 B' G. t$ j& N
5 t; Z$ r5 h7 @- L0 ~1 s9 bask self [do-trust]
& J- ?1 `# w6 N;;先求i对j的信任度
6 a8 [- _! A- S. ?$ I( t
5 o" Z( v! `4 {! Y: ~if ([trust-ok] of self), m4 e/ z7 \0 ^0 y$ o. J5 [5 t
;;根据i对j的信任度来决定是否与j进行交易[6 h7 l- H6 H1 x4 e4 R' p
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
5 F+ I1 s0 h/ }% @6 s* b& a: Y+ h5 B8 D( N* p
[
5 y4 V" t3 d# M3 i2 n) ~( E& d3 _
, U9 \7 t0 B1 p4 O& B" G# wdo-trade8 t- \1 I: X: T5 e$ Y
( b. t9 t+ @' mupdate-credibility-ijl
* Z4 {5 a+ V8 j! L s5 v/ k, u p Y+ j3 `. |4 _3 ?
update-credibility-list
. W0 i8 a- p" K& W- w) e9 c
8 B% E* ]) B) F9 Z; ~3 F
5 l0 o; e L. b9 qupdate-global-reputation-list0 ^/ d- S% g: u) {
4 {( a3 W/ I1 P5 S* _/ {
poll-class6 C' h! f' b' _" l) J
! [3 ]' Z3 N4 v2 Q2 q2 jget-color
; x) u7 q% _ W# ^9 a- r( \
$ [8 t( g X5 @# f/ m]]
2 i5 C7 `- `4 b8 C" W' x& l) h( S: ~/ N$ [9 t* q' A* i
;;如果所得的信任度满足条件,则进行交易
1 T T% E$ V3 c- E
: f- {6 z i3 F5 Y[
6 q+ S1 R5 c0 ?8 I" ?$ ^
/ s* }7 a4 V) v8 g" lrt random 360/ B' b- p8 ~5 z* f9 _0 T; Q
( n* x& B y6 a) v2 Kfd 1% E' a) ~0 w2 D- p8 [
' [2 k- h+ Y& `9 {$ H]9 U2 e' D* i; @, ]3 E% w1 q
g/ k9 B1 _3 V2 z/ p
end
( U* Q0 E8 E3 h. U1 T9 t% p+ m* U
- v$ @% K, \# Y1 L! oto do-trust 0 d1 D" X; l$ X E$ U* W
set trust-ok False
; {+ D! Q$ X# p- ?% F# P' i; j C; X8 |
- [& }& k, }& q. d, C6 m; q* V
let max-trade-times 0
% l$ [2 }% }. ?; ?' gforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
% j: [" |+ o& n: N5 f' p1 Q$ M0 L, Clet max-trade-money 0) W' R% H. _5 q8 u1 J
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
* S- z9 S/ |6 f6 i) glet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))9 ^2 ]6 Q) L0 g. h! j6 U
8 Q8 u: e6 V. @
8 z j$ Y4 Z! B
get-global-proportion9 n) e% S4 m; R2 z5 X, m, n z% d
let trust-value
- f( y( P" u# q% q# J1 j- u% `6 ^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)) m( X: `. a0 F. l6 s9 ]
if(trust-value > trade-trust-value)
: g5 D& w6 i; M: G f[set trust-ok true]8 u+ n- |0 d8 U. u; h0 Z
end! D& A7 ]1 G8 W5 n8 m1 H
. k8 Q( I: Q1 d1 W; Y
to get-global-proportion
0 j+ j7 ^4 x4 Q$ sifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3) J6 z8 g' p- S ~! d
[set global-proportion 0]
_. v4 b+ f7 o4 K3 u[let i 0' f: h1 P( M5 x" z G
let sum-money 0
# c# K& v" o C& b, g; t5 Wwhile[ i < people]
$ Z2 c. I3 e" v[' v$ O3 c8 A( u" o: J3 u4 h/ o
if( length (item i7 l- P& y, Z* I" O- R8 j9 R6 o# V
[trade-record-all] of customer) > 3 )3 t" {# h9 e% b
[+ c' a$ Y5 S4 h( l
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
' g2 ^2 \9 B' T6 `0 e/ W2 l]
+ e' ~- B5 R4 o" P/ N+ S]
2 l. H S5 U. A# U7 ulet j 0
9 R! K2 v, R; O# I# Q7 o' i& D p% Nlet note 0# L2 B, _4 k" q0 g; _* Y) f
while[ j < people]: o+ t" R8 E: U) c
[
; M8 j4 E+ T6 D4 _2 jif( length (item i2 l) ~3 M$ {; i. i2 ^& ]/ B- _
[trade-record-all] of customer) > 3 )$ c! Z A( g- y0 |
[( d+ H; M# E5 u6 b
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
* q+ x$ u! H/ V) R[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
* U/ \3 |$ m4 E4 _[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]; y, I; w+ w4 a w8 s7 g# s' U; ^
]
5 ~% \# K" b+ a" O7 M% ]]( ^( l6 d) h/ o" C: `
set global-proportion note
" U7 ?0 V1 N5 ]; ~4 G]2 r0 \$ D6 x0 k/ t, n( }
end
& Z5 F% N' o# I, P i
# j* `. Z# C) Fto do-trade
9 H8 _+ U6 |: H$ g2 l;;这个过程实际上是给双方作出评价的过程
1 L8 A' Z c/ \5 U* |5 g8 tset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
4 D1 Y4 k3 D: V u; jset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价8 a6 z3 Z% e6 f7 T
set trade-record-current lput(timer) trade-record-current' B- N% ~1 z: Y
;;评价时间
3 g, [6 `& K8 n! O: rask myself [3 @, ^: Y M& e
update-local-reputation, Y! c/ i- n* k p
set trade-record-current lput([local-reputation] of myself) trade-record-current" {5 f6 B$ {' Y7 b; H& H& d& y
]
7 |* B$ [# ^' f vset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
2 } ~( c$ n3 R) E3 |& T" s;;将此次交易的记录加入到trade-record-one中. s" O& K6 k! m/ u* H8 G9 h% s3 H- m
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself), h( u5 g) L0 A7 Z
let note (item 2 trade-record-current )5 H- m( D; I$ A( t3 `* A
set trade-record-current
0 D$ }5 h6 p5 L2 M4 G(replace-item 2 trade-record-current (item 3 trade-record-current))6 J# a3 _( u2 s9 ]$ u
set trade-record-current
$ Q6 Z! |/ Z- ^! V' O(replace-item 3 trade-record-current note)
8 Q! {; y+ S5 n! H7 Z& k
1 r, ?' I3 H# F& R
$ v8 }5 P: I Y: {) J `9 Mask customer [ ^/ s7 Q [# t/ p4 Z7 x& L
update-local-reputation ?) F% {+ P( g5 ]+ W
set trade-record-current. C" Q+ g3 I# ~" _& T4 U# ^7 ]9 Z
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) , p& n+ k( E, j6 \$ Y+ h
]
6 @. r0 D7 }# y5 P" }3 W* p1 [9 f( F9 c- H, y
& _ \5 ?, z* Iset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
/ b; Y& L v: d- G3 H! z
: Y0 K& `2 l7 y: b. A3 _) i7 fset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
+ u1 _6 a- m. N; M;;将此次交易的记录加入到customer的trade-record-all中
& R+ ? y/ t6 ?* t4 D0 M/ Send
$ N) p- w$ f* x: ^& E" P9 v$ m$ ^: v7 v. E" P
to update-local-reputation3 M* T( J: U1 {) b( k0 u6 V3 ~6 o2 o# W
set [trade-record-one-len] of myself length [trade-record-one] of myself7 T) w0 H! j0 B1 R: v; f6 z
# Y/ K# J0 ^1 k; m0 m. f c, {. \
0 d" a% I& u0 R. N;;if [trade-record-one-len] of myself > 3 9 G2 T# D+ _( _5 D c C! y2 {# g
update-neighbor-total
; _# I% A6 X. {% E( K: O' H;;更新邻居节点的数目,在此进行
^6 [6 N4 O& qlet i 3/ a7 q' B/ S7 X# y D
let sum-time 00 ?# O( o$ S) ~; n6 E$ _$ o8 F0 |
while[i < [trade-record-one-len] of myself]
0 o1 ~+ j+ e, t1 z7 O( `% S[$ z3 v& u* b' f3 Z+ Y- H
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) ): Y J6 Y d4 y" ^/ Q4 X& n, }
set i4 P+ p7 f4 @$ \4 C9 Q7 q
( i + 1)
# s; O$ O* c1 I8 o( H, P]" A3 `( Y0 V, r) v1 V4 V1 o
let j 35 T# A1 p ]4 R4 @( x
let sum-money 0* u* p" o3 n" ]3 ~6 e! {
while[j < [trade-record-one-len] of myself]' y; j4 P. u$ V5 J
[7 [/ d# {( U/ s/ T7 u0 O
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)0 \6 ^8 Q9 e9 e) t5 N
set j! @; v) m! P6 k% i! X. X) g/ a
( j + 1)
1 n7 B+ Q/ ?( R]' }2 s( ^5 E9 b
let k 3
) F" k: ~7 X0 s% blet power 00 P3 X# ~, V7 d9 J9 F5 N7 q
let local 0
4 ], K; W4 p" `1 x' R$ Pwhile [k <[trade-record-one-len] of myself]
; \, \0 j% G/ O) B6 c# M' t[
9 @; q' r2 m0 |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)
0 P) D6 e X$ Z) kset k (k + 1)
, N) Y- ?$ r- ~0 j- d5 s5 H]" L& T) q0 m7 B. m5 Y& X
set [local-reputation] of myself (local)
, o% |1 E5 x7 N; | ^; ?end$ f U$ O0 `$ K
9 @/ i! A) T j- U
to update-neighbor-total
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if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ] d8 ^$ T+ h0 b9 D
1 h c# g, i( |( J/ @8 U
, ]. B4 v; V1 y4 W( z3 Z, n# P0 f
end
! {+ t/ U" T8 q$ v2 o; x5 U9 Z/ q. `% ~5 V) `) S( @
to update-credibility-ijl * v- x. a. P* P5 D$ Z( D% ~; K0 Z
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;;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。0 U; k4 [* a; u) f1 y. i$ O
let l 0
/ y; {" U0 x/ `& I* P) |1 Gwhile[ l < people ]
, T6 r8 l. i4 d3 {% r7 X K V;;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6 S! Q# |2 [8 e7 q1 W1 u0 O
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let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
" f5 W0 T" d( R# D2 q; B2 Vif (trade-record-one-j-l-len > 3)
/ K2 i; U9 A m# @[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
+ L* U9 c: s* Q4 Nlet i 3! h: [. M& D) v L# y
let sum-time 0
2 F8 `; {/ o* z) Swhile[i < trade-record-one-len]
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set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) ), {( o6 m; H4 |% e. O8 M3 t4 _
set i
% a3 q' M7 z% n6 i3 l* V4 c( i + 1); y4 h+ L3 ^! f; T
]
5 T/ a, o+ V [! Jlet credibility-i-j-l 0
$ `, R2 ] A G+ ~9 M;;i评价(j对jl的评价)) @( Q: \ T0 u0 X% C
let j 3; U5 A) P0 Y! H: E& w# e: ^8 P3 `2 l
let k 4
6 o: s$ l1 @ s f! i6 _while[j < trade-record-one-len]* I1 [; l- x( T* Q6 O3 A
[* u* Z1 Q7 k% d
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
" I) u6 A8 i6 G, U0 h, m8 s. Oset 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); W Y% Y8 s3 _
set j2 \* V% o, n. _7 |1 {
( j + 1)( K/ _- ~0 E r+ r
]$ C5 c0 l) `* |3 C- r
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 ))
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5 e5 ?. {( l# `& b: G: |1 N" t' j$ d2 W% \" |
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))8 {0 b! A' [5 l5 g7 A
;;及时更新i对l的评价质量的评价# p" x0 o8 L$ ?' u3 h
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]" D4 }0 I3 |" D* g4 W
set l (l + 1)
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end
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; l, z% L9 W0 ^2 Zto update-credibility-list# L& ?, Q$ h+ u1 n
let i 0
# Y. h, a2 f" P2 Nwhile[i < people]
E. c) e* O9 C: W0 R[3 V3 d# i2 x. Y% a
let j 05 f( x) I2 E* ]3 a+ |3 a
let note 0" l! W$ p! m/ m8 j9 f
let k 0
& C1 l( B/ r* J/ \) ^8 _1 d;;计作出过评价的邻居节点的数目7 m2 f# N* S( Z. h% w
while[j < people]+ w" j' q8 ^% W0 F) `: [
[
8 i$ R- k* s1 G y" d' v, ?1 zif (item j( [credibility] of turtle (i + 1)) != -1)! @- Y& r0 b% s' c9 i7 [
;;判断是否给本turtle的评价质量做出过评价的节点
2 z' w6 ^4 N* k8 m& S% x[set note (note + item j ([credibility]of turtle (i + 1))): T. `0 x# A2 J8 `; }
;;*(exp (-(people - 2)))/(people - 2))]; s! l1 z7 F o2 ?, d% Q
set k (k + 1): a; j2 r' w4 D' X9 y
]. H/ |2 o) ^- m
set j (j + 1)
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set note (note *(exp (- (1 / k)))/ k)
7 M1 c# ]$ p' f$ hset credibility-list (replace-item i credibility-list note)
* M" N) W- h( [7 ~4 Lset i (i + 1)
6 W9 @" @- W8 V* |]- ^6 V, h* R0 ^* ?" n
end
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: C, J7 O' m) o5 ~, ~8 Kto update-global-reputation-list* x+ X) ~8 M" Z1 ?0 C8 d
let j 0
; j. L6 v" r! r1 H2 {$ \- |+ zwhile[j < people]8 N( H; k) m% P+ N9 f
[4 ^ G7 ]2 }/ x1 `/ X* ~# G
let new 00 M, L& C& n ]: A
;;暂存新的一个全局声誉* _ J: i9 v& n1 g" t2 Z
let i 07 R+ n# [6 ^( r) X" U+ N' V. E; w
let sum-money 04 d$ l3 s) L1 Z; y' s
let credibility-money 0) W: }* C- h- B, D
while [i < people]
2 @ ?: M1 c* c8 P! X[
; K/ P1 K4 Q5 _5 e( r8 gset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
! w- ]( Q. {+ T6 s; V# Dset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))* u% } L- P3 m
set i (i + 1)
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let k 0
5 l, o( @, _- Q& e" X, b3 Llet new1 0* b. g- e. r1 W; I3 n
while [k < people]) p6 p u, x, O5 _4 t) L
[
. W p4 ?3 q' S, C, E3 |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)
+ y+ T0 L3 G- z# Nset k (k + 1)4 s: e. ~( U) W- m; ~1 v* C0 ?# { `4 Y
]- z+ q) \) D0 e/ t
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
y$ k+ O3 g2 V8 [( Vset global-reputation-list (replace-item j global-reputation-list new)
6 P2 c6 r/ E% Q$ ~set j (j + 1)" y; Q1 t1 Z6 v. P
]% N/ I3 ^$ X+ v- N
end% |: `7 `8 ^9 y0 T0 C" X8 S
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3 I- ?8 X/ @2 T" O3 L
* Y# R3 y3 [, O# _; f! _to get-color
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set color blue4 j; ]/ F5 A8 U) m
end' S: s% ^" [. k- f. p; r
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to poll-class
7 S- e6 s5 d0 r* N! a7 Z" v' U2 Send
( l( x6 e8 `6 D9 r1 o9 ~& S+ w/ j k5 }( o4 J$ x. M% \: \
to setup-plot1
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set-current-plot "Trends-of-Local-reputation"
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set-plot-x-range 0 xmax3 M" E# T9 x9 ]$ }2 j. u. B9 I
( r. r/ ?( x8 B
set-plot-y-range 0.0 ymax
: h. g% l3 t% R' u) }# Y5 A& g/ Mend
0 U ]% W: W# N. T3 {2 |$ F; ]& y" s+ L" l r5 D
to setup-plot26 m& i& r& I; y; _! |% P
) Z5 w$ v- P( V" {7 }
set-current-plot "Trends-of-global-reputation"
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set-plot-x-range 0 xmax
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set-plot-y-range 0.0 ymax d! W2 h6 O4 ~: a1 H( t
end
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$ C- P7 \7 p8 H! u ]* j( Q% `to setup-plot3; ^( L% }9 P. ^3 i3 q9 ?0 V* R
6 S# M* x" C) S& J" @& m* _set-current-plot "Trends-of-credibility"
% b* [6 S' p: V" |& H
. ] o% L6 ?7 X! ]" N- R7 jset-plot-x-range 0 xmax
" l U4 {% s' x0 B* \
- g/ R: z0 |: I& B6 Hset-plot-y-range 0.0 ymax
& }3 i0 r* _& n$ X+ Tend' w' a* i- w8 Y- ^0 Q7 f; i
# e1 s3 ?9 f7 U1 Qto do-plots$ p2 I0 t- M7 j8 m$ u% ~
set-current-plot "Trends-of-Local-reputation"- k; e% V {# z0 B
set-current-plot-pen "Honest service"! v# h) d$ P5 @3 ?! y' h; b
end
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6 |$ A& ?% F* a/ |$ q2 W# z[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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