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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( U$ ]" w- u3 t& g$ Z5 @& p
globals[
# n; _& h& r, ]# L i" mxmax
! k8 D/ G% D8 x7 Cymax
( `- M# W! ]0 |0 a: kglobal-reputation-list% ?3 k) I1 {: Z/ N2 z8 c) T
: x! G; n' p3 M: Y( F;;每一个turtle的全局声誉都存在此LIST中
- p+ {- M; b% e) L* y4 P# ccredibility-list
, d8 G* |9 n9 P$ C: W% K$ O5 r4 H;;每一个turtle的评价可信度2 d1 R2 J% P" @" @% v
honest-service) p# o! b' a8 B- p* \
unhonest-service
% J5 K+ l, e+ }7 ~7 x7 M& Koscillation* E# b! T" d: U
rand-dynamic4 R- Z" V# _7 e( F- m% {# ^
]5 z: x) G- |6 N1 O. S- Y
, f2 q7 A2 b1 n+ z3 W/ z
turtles-own[6 j6 w& @1 q' |, N* D6 E# F
trade-record-all5 R5 U. ~' @& \3 x; P4 L
;;a list of lists,由trade-record-one组成
6 o3 _& V, ~$ _8 X' U; v" ^) }trade-record-one
+ w4 d$ g3 a" q;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
' H: \( A/ x" h' [9 B' }$ r$ @: _; g3 l) Z( O
;;[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]]
) f/ r( Q7 k0 d6 ^8 [0 Q- vtrade-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]
! k/ D. v" @* U+ F2 M2 y7 Y% Wcredibility-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" M9 ?" q" l9 p9 _
neighbor-total; @. ~/ y# A$ V1 G
;;记录该turtle的邻居节点的数目
) U" X& D' o2 m4 @1 \trade-time5 Z5 I5 x( J4 i5 p6 h- B+ B
;;当前发生交易的turtle的交易时间0 L3 G* u' T* R
appraise-give' h5 ?; u# Y% b) ^. W
;;当前发生交易时给出的评价. \# v8 ^% Z$ m, |! l3 L
appraise-receive* V' J4 ^. C. C
;;当前发生交易时收到的评价+ z6 g6 s4 g0 ^( o( U" B
appraise-time/ ^- F( D, N- p
;;当前发生交易时的评价时间
( G/ W7 y( a! @8 ]3 plocal-reputation-now;;此次交易后相对于对方turtle的局部声誉1 ]7 B8 t+ t1 j. l
trade-times-total: ]5 i4 W2 H" j
;;与当前turtle的交易总次数5 P6 j2 x# w! o+ J9 A
trade-money-total% X. h+ z6 S3 F$ Y, x0 K# q- W
;;与当前turtle的交易总金额, F1 |2 m# _8 D2 M% h( Z" C
local-reputation4 H+ h" Z( G" d8 r r, Q8 r
global-reputation# B" R a2 [8 _
credibility+ G& V( `- J+ g
;;评价可信度,每次交易后都需要更新
0 |1 Z5 @; y) N8 acredibility-all8 a3 T7 y" p. _: ^" g; ~
;;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6 W+ K6 p+ E$ r2 R+ S) C# c
3 w6 \4 R4 q5 c" X0 x+ l; ?1 p
;;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
5 u; F! j9 ? J0 m1 Rcredibility-one
& Z4 ?1 A3 w8 |# ?( V;;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$ a' ]! c! w7 I4 P
global-proportion% I; H! ]. w8 `5 P
customer/ I+ c$ x0 H4 L5 ?
customer-no5 V9 n* c7 F1 a) u5 u3 q+ e( P; }
trust-ok( V! o- S. E: T: y( U$ T
trade-record-one-len;;trade-record-one的长度- P6 Q/ _" ?1 p! T _4 s7 V0 D, d- L
]
5 z6 i* P; z& Y. M* M8 B3 w# s/ u- N; u* `
;;setup procedure& [; l4 {( C9 ~; |5 I
( q8 |* N- k, N: K0 Q+ y
to setup
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$ x6 H& l' s) M/ g9 L( _ca
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f! Z8 o5 s* s% |6 tinitialize-settings
2 s8 l' O' Z S0 A6 _! C$ h9 N- M* J& ~6 e7 y; E" c6 {! y
crt people [setup-turtles]
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reset-timer
+ e" |( B a1 f& C- H. o$ i; \8 k/ Y) Q
poll-class
+ w: C; v4 ?" c- ]% k7 ?4 m* U4 m! ~8 X4 k
setup-plots
! p& }9 c( W1 A$ Q, o& R. ?0 S9 F* k- a8 e4 n. }) P
do-plots
. @7 P5 l% W" ^9 T. eend
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to initialize-settings" C$ Z+ r9 Q$ W4 W1 s. m* d
/ E$ E$ e4 ^8 {3 G8 pset global-reputation-list []4 |+ @8 i/ P( x& i4 X# _
/ P1 k) l w& \! i n* l7 e# C
set credibility-list n-values people [0.5]
i- o2 u8 j" a7 D' y$ n: L% W3 Y3 G
set honest-service 0% E: b( \# G4 @! N/ \
, b! R$ d1 X4 e3 S5 c" t+ r' yset unhonest-service 0# f8 b+ t s, o- ^+ {
/ I, h* m1 E3 Q" z
set oscillation 06 ^+ u. H# |0 M6 A8 c1 p' ]/ `+ f2 U
& J+ d$ O& e# t) @* @5 g& Hset rand-dynamic 0$ s- { b7 a$ J3 _. l
end
6 }" W* e9 y$ s2 K# N
! d3 ^8 e9 I. d1 b% { L" yto setup-turtles
: D$ b) ?8 R/ m( X8 p; k) K* rset shape "person"
: O/ J1 ]8 t Q# @; u: A: a7 Psetxy random-xcor random-ycor. L- L; N6 D' o* c
set trade-record-one []
3 y9 c4 z% b* j, V L/ H9 N
. q' C: G, b# S9 dset trade-record-all n-values people [(list (? + 1) 0 0)]
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set trade-record-current []
4 R7 s3 @, T% o% }% Mset credibility-receive []% ]+ m) O8 `% ^/ s
set local-reputation 0.54 y& \: N4 A" i1 V( W) ^6 s
set neighbor-total 0
6 u; N& m' g) ]0 Q) j. eset trade-times-total 0
3 H9 p8 R) b. M# h) E, aset trade-money-total 09 _: ?9 A% A- C* \ G
set customer nobody6 A' K5 y J0 R' e* G5 p' @
set credibility-all n-values people [creat-credibility]% h0 k# I& A* _8 E
set credibility n-values people [-1]
4 \9 [' m7 h! _# n- }* q! m9 \get-color
% E; C; @0 s% c+ P3 y/ m
1 c4 y/ ~9 E% P; X+ R! ^! nend
% w/ S/ @) @4 i; H9 [; t7 H
9 `; i) `+ j9 tto-report creat-credibility* U: x( F' ~- }6 @6 S* K* s
report n-values people [0.5]/ W5 k! D! e" w% U9 P
end
6 S5 c5 a1 e) b. x4 T6 n2 a, G6 m
to setup-plots4 t5 @6 M% ^+ I& f% v; `6 V
+ t: K- C, a6 V8 j4 Zset xmax 300 h' c. ^1 n! o% m4 \
% Y( L+ v' Z% a1 N2 bset ymax 1.06 R9 J0 e. t% _4 l" E( _" S/ D
" O# V0 I/ D4 a- s$ sclear-all-plots# ]. l3 `3 x& a/ S+ P3 ~2 f
) u, y- O" c, [- W
setup-plot1
! s1 a# t% v% I) [- \+ F, m. T1 [" q- Z& ^: n# A9 U
setup-plot2
& G+ o/ [0 |* T" ?+ `% Z3 X& S
9 [. r( |9 @$ H F3 R6 zsetup-plot3
/ x, g+ N9 h. i8 C- `. g$ kend
% Z% i0 r" S$ V1 y( s- p% i2 V
1 O3 q1 q% Y! h7 q2 d;;run time procedures
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to go' T% r2 {8 `, m) |0 H' f
0 i+ L& v+ C; T/ O H# K
ask turtles [do-business]
( R# G& O" G6 b$ b2 q8 C8 t0 nend
7 A$ l5 I3 x. a, j/ M% j) U/ s/ {; E: N. ^9 f
to do-business 2 W' C- I0 v6 n4 N7 B
$ S p2 G, g8 i1 ^5 ]
; J4 l6 r" n! t, B9 K; xrt random 360
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( e t8 B% X! s& W" X2 ^fd 1
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ifelse(other turtles-here != nobody)[! s+ v- l, z/ k- n! y6 t, `' W
5 Z- [ H$ J& q) e" m) |( |set customer one-of other turtles-here5 Z+ _5 o6 { u e1 l8 G
6 O) B; }# B- o* D;; set [customer] of customer myself
3 |; z8 o8 G6 S$ B1 g" |' C& I) U. c6 ]2 S" T/ f' P
set [trade-record-one] of self item (([who] of customer) - 1)' B% N" x8 |; |& ]! t2 {* U( p
[trade-record-all]of self
5 F' `$ w. s* y9 F# W- f( z/ b;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self$ L3 C) ^* G5 [( Z% S; ^
5 c8 @; |$ ]4 r4 N$ Y( F' }& l
set [trade-record-one] of customer item (([who] of self) - 1)
+ M6 R# i+ H( u D6 _+ }2 R- j) q' l[trade-record-all]of customer
B% E, @( P* Q- _+ b
/ w3 s& ^2 Z; T+ _1 Uset [trade-record-one-len] of self length [trade-record-one] of self) y# z* ^6 B- @: {( m( R, A6 H
2 O G# Q2 d. R+ I! {. [set trade-record-current( list (timer) (random money-upper-limit))
: H8 S8 q+ \# m
$ j7 f0 O! b) @+ x4 ^8 dask self [do-trust]
/ [! e4 P, P5 b;;先求i对j的信任度$ v" N" N- X; t% ~9 V+ `
1 }. X% R4 k; k) j* }: yif ([trust-ok] of self)1 }8 [3 i2 d1 K' t; {( F
;;根据i对j的信任度来决定是否与j进行交易[
4 A7 l4 H- P- W& P3 Iask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself8 _! Q8 Z1 ^, H- \. t+ ?
% k0 S; T/ e8 r9 V9 H& @6 x# c[# X- |1 `$ e6 u! f4 {
, ^9 C# @3 P4 {$ U
do-trade
5 {! G" S* _; R+ m! g* u! Z9 @% n2 ?0 n7 N1 f4 V: C
update-credibility-ijl
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update-credibility-list( F' I! C. t' g: c4 T
F% e4 j4 ^; I! [+ Y
( |: [ Q! t ]$ t
update-global-reputation-list; O4 l0 `# `) K# j2 e. E2 \
- b2 j) S+ k5 E! Y# l9 I2 b
poll-class: @/ r' C2 s5 m9 k& k1 W2 ~
/ s+ R+ f( Q0 q* O( }( z
get-color
?# G. ]5 a8 ^) J- c7 u* n$ j( n0 Z$ Z/ W! I: i, h
]]1 ^( V# ?$ d' {+ d
: V; v p3 i; w;;如果所得的信任度满足条件,则进行交易& `* ?, P4 C$ H& X
2 g+ L j4 U# A8 j; l
[: R$ h* U! }. X
3 t7 Q" M b7 }! r8 C) f' rrt random 360
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fd 1
, ?' W) M& v& j- J" b3 w" Y6 q# s$ M8 f+ _ ^) A
]' n, P7 H% T2 H1 m7 v
4 P# s5 x1 L& V9 {
end* k1 ~4 u- @9 D
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to do-trust 7 n* O- f+ d ?
set trust-ok False8 e: T$ ]2 r! M- U7 f
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- U. z- o) i6 ~: X8 n
let max-trade-times 0: h* }9 F% q0 K
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]# M7 |5 w) J$ \: G* i
let max-trade-money 0
1 Y2 y& G9 [; t: U% P7 B; N* Uforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
* S+ a$ N6 B: b) |; Elet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
! A. }% E8 x0 D: H; ?% e% c, N! F
, {, g! A" G0 D+ b& S5 Z8 y& I( V, e6 z8 b `9 A) |& ]. K/ V
get-global-proportion
! r& z% v) Y( ~& y: Rlet trust-value
0 i' ]! b7 Y# U: W" D' `& Elocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)( R& ]* ~- E$ h4 k; G
if(trust-value > trade-trust-value)1 a) E9 \. c$ k2 u0 s
[set trust-ok true]
! Q7 X* m: g) Z: kend
% a0 m5 D7 e0 L$ H( Y! c) M/ C c8 Y1 W5 p6 r3 k! ^
to get-global-proportion
! f( |+ M H$ E8 i% V, X9 nifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
! b5 F9 E1 x1 d! t" j& m7 A[set global-proportion 0]
" ]0 Q( Q" w3 R A8 M[let i 0
8 {6 Q& U2 e8 c( @6 X* `6 _let sum-money 07 O- O5 u4 b2 A
while[ i < people], z+ ]: b2 J: e5 `7 l
[
9 u. m' v* K: R% ~+ ?. _if( length (item i9 ]- d+ F; w' V
[trade-record-all] of customer) > 3 )" y, t7 k; ]; g2 P- y
[/ e3 y, `/ Y3 D3 X$ t
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
) K! z* R+ O% k7 J$ I7 ?]7 E6 J. f+ [* L( e: Q( k: K5 M
], Z) r5 c w+ Z
let j 0# u, A0 `. Z. j1 `
let note 0( }: K, z" x( R: e0 {6 r: w
while[ j < people]
( a) H: E1 b# J6 l6 Z+ Y[8 s( t8 s. W. t' a+ e: b6 B- ^% d& }
if( length (item i
# {# z4 R" M/ t% C" \: ]( r/ e[trade-record-all] of customer) > 3 )
* X3 n6 S) J- v3 c- T[
! V; N+ h5 ~! `" s1 Qifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)! E9 ~" r$ \% s! G
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]2 I8 y3 K {9 L9 R8 {! A
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
. C( w+ Y; b/ l( M9 ]4 {]
c- @% ]( H7 i) R$ p$ j# i]5 z' X6 \' J6 y2 w1 F) D4 J1 h
set global-proportion note
: _1 t$ D: Y3 b+ `]) m6 C- W% X7 ?' C
end( E3 J$ R! w1 V- C# H" @' t, m
: o3 C- I1 L$ E& l ito do-trade% c& D! v% o$ u) a8 r1 T
;;这个过程实际上是给双方作出评价的过程# ^9 K6 {' r' q4 @/ W; ^7 ~
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
0 B3 m% F+ F% Q" w/ z: A \set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
' [4 B- A# b" t$ mset trade-record-current lput(timer) trade-record-current0 k6 V7 c7 D. p/ Y0 S
;;评价时间
. i& p* Q3 c0 ]0 m z0 \ Cask myself [
( P* ~3 _- R& Z; C1 x! s5 O7 pupdate-local-reputation8 v* v( {0 S3 K! y6 g# @& t7 K
set trade-record-current lput([local-reputation] of myself) trade-record-current4 p# P% R# y" Y9 n' N4 d5 k
]2 y, o; |1 Y; o5 K5 O
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
/ M! _+ E. E# X0 c% |;;将此次交易的记录加入到trade-record-one中( Z: P; D; o4 J+ B& U# U
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)8 C7 L, i( V8 I: v6 T2 F
let note (item 2 trade-record-current )* D' r g6 ?) x# l0 q
set trade-record-current
% u+ T: ]8 e+ t. _: U! l; i5 v(replace-item 2 trade-record-current (item 3 trade-record-current))
$ {$ t; X$ z, R) _0 h8 q7 y4 fset trade-record-current* e# @: b1 G" z5 x6 k7 z
(replace-item 3 trade-record-current note)+ `/ d6 u' P6 ~ \/ ^0 m: D* z
! [/ T! E% Q. D% u
+ x! T, J+ m1 r3 s5 a% ~8 N, M2 kask customer [0 I: d/ p9 [6 X" f) K" H
update-local-reputation7 M& i9 C/ Z4 X
set trade-record-current
. L- L# d/ ~2 o6 b0 ]# N(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) 8 k3 w9 x: P* N7 f# \4 E
]2 x& J+ p5 K5 b' p* v+ r
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( [$ s; q9 D; }set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer' ? J7 W2 H7 t, d% I
6 I5 i0 _7 T4 ]* G4 z+ j
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
& L2 ^1 G. [! Z; u# ~;;将此次交易的记录加入到customer的trade-record-all中8 p* _5 T# M& }( C7 u+ `
end; H1 x! e0 x5 S0 U! N$ D
; g7 d: Q5 W5 S/ p Sto update-local-reputation* N R: ~$ e. W
set [trade-record-one-len] of myself length [trade-record-one] of myself
! T! P- ~+ M$ K* L; `& N# M+ Z8 U. X: | | L9 W+ Z4 W; ]
, ~4 g* O+ ^2 f6 m; S5 {;;if [trade-record-one-len] of myself > 3
; w: [. ]4 f8 }2 g5 f9 @% vupdate-neighbor-total% |% w m# N/ L) K
;;更新邻居节点的数目,在此进行
+ ^) L, o2 h M+ klet i 3# \ ^; X; n' n8 H
let sum-time 0! d2 [. ]2 d% v
while[i < [trade-record-one-len] of myself]9 v+ w1 ?9 A, F! \% S. N. i
[5 I" ^$ j4 F- v. \; v# A6 |
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
7 [5 S# W9 @3 e( mset i: Q' K$ ]0 r' V v2 M' B
( i + 1)/ a6 y3 G0 z2 r2 Q% C
]3 [- \3 ^; O \* v8 D+ ?9 B
let j 3. ?% M) k$ n& C3 j" O9 I
let sum-money 0
$ M* [& n. D2 S% bwhile[j < [trade-record-one-len] of myself]4 O9 L9 E, F* D2 \: E; M7 s; Q9 B R
[0 I2 x2 X# U8 s2 h& S+ C. t0 U, m
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)
" n. ^& E1 _( Qset j
1 b; J+ e+ x% y% c( G" X3 c8 {, m( j + 1)
: ]; C3 N; r( m$ ]$ l0 b]
# O3 Q! r/ L6 Y' P& E# }let k 38 T4 q1 Y% V) j4 u, X
let power 01 Q0 [6 e4 ]$ f n8 e
let local 0% C/ V X# Z: ?2 i
while [k <[trade-record-one-len] of myself]
% S/ a7 t3 _; u* W) b[5 i; n" @0 ?8 F, Z0 _6 U9 t
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) 3 N# E! h1 z/ y2 U* ?" @
set k (k + 1) \9 A W/ e0 ]! F0 C' q. l: ]
]
" v6 K! F4 \% |% l/ Eset [local-reputation] of myself (local)' D9 a% W; Z! J9 P v$ s& M
end5 _( e+ B% Y* Z/ B' y1 y. w' y
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to update-neighbor-total
6 R9 ]! T% t/ A7 L0 Z z; y, y
% \4 y4 M, z0 m& aif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]! Y7 `2 N9 C6 M1 Z5 X
! f! d: t) Z. b( N0 {5 p0 J! L \) O' D
end: u4 }) i: ^! W
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to update-credibility-ijl o W! j2 B* v$ H% _
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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。
$ ^& L4 y7 w" b6 q: elet l 0, [/ K% z0 ?3 q$ V% U% M, `
while[ l < people ]
& \( l4 n6 q' A;;对j的邻居节点的trade-record进行扫描,以对j的邻居节点的评价质量进行评价! g+ O$ Z! {* }
[
, s' Z1 Z% d1 k2 P1 jlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
! r3 F3 F F" Yif (trade-record-one-j-l-len > 3)
* Z! s, |8 W$ B+ b4 t9 k8 B[let trade-record-one-j-l item l ([trade-record-all] of customer);;暂存那个评价质量正在被评价的turtle j的与l的trade-record-one" d' O" i4 O; F2 E; }
let i 3- Z9 b- B5 d: ~
let sum-time 0; E' ?# b5 F, ?, ]
while[i < trade-record-one-len]
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set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
, N/ M' ^0 e3 S) Q# k2 Pset i
- |$ p, p; E# i9 ^( i + 1)- y0 i8 O9 w; W- H9 c
]
5 G. ^' d) q0 Z) Rlet credibility-i-j-l 0
. J. Q1 B; v. U1 k, i;;i评价(j对jl的评价)) k6 S! C B0 R) Q% N. T9 S
let j 3
3 |1 x7 q8 C$ q' R4 p9 A& Zlet k 4
8 O! W% r* R/ m2 | {while[j < trade-record-one-len]
6 s1 K- Q5 @0 c& F$ y[) Q! p) c: c+ S% G `
while [((item 4(item j [trade-record-one] of myself)) - item 4(item k trade-record-one-j-l)) > 0][set k (k + 1)];;首先要寻找在i第k次给l评价的这一时刻,l相对于j的局部声誉
9 I! `# q: M: Tset credibility-i-j-l ( credibility-i-j-l + (item 4(item j [trade-record-one] of myself)) * (1 - abs ((item 3(item j [trade-record-one] of myself)) - item 5 (item k trade-record-one-j-l) ) )/ sum-time)+ B, A1 e6 S' n9 c$ f, ]
set j" G3 {% l& o2 \) c; y' H; t
( j + 1)0 x: Q/ k' Y' n! z& H
]' x- P1 U4 q5 n& C/ 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 ))
]3 z6 S5 G1 X' V
3 `. T g+ i2 l) g9 F, O# e; H1 [5 }; n6 z6 U
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))/ H+ o' A( L# G. `& L
;;及时更新i对l的评价质量的评价
, `# \! G) V; }8 K9 eset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]: j1 R# O/ q1 S! b
set l (l + 1)
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* u. J7 l$ p3 ^% jend
6 G7 G% k8 {3 z+ @! ?5 x; q7 e
* L2 N2 ?- M% Z! ]- k; ]8 j0 uto update-credibility-list) L9 n% T( u5 |# n
let i 0$ N% T; X/ Q! {3 S2 M
while[i < people]
q4 ~! [) }) x[; w$ p9 G' N7 W' j2 K
let j 0
. [1 y6 d' v2 A R( D" _let note 04 n' \) E& `9 \4 {0 a0 j
let k 0
" X2 ^4 F, I$ E0 Z5 W. d;;计作出过评价的邻居节点的数目
/ Y' o6 s( n8 r, I9 K. Owhile[j < people]/ ^7 c( l; c, j8 Q: @ c
[
( X# ]) c* n' l+ x! {3 Z0 U1 |if (item j( [credibility] of turtle (i + 1)) != -1)4 B; X. O* j% q/ {+ @$ k
;;判断是否给本turtle的评价质量做出过评价的节点
5 E% I& G# o! t& R) c[set note (note + item j ([credibility]of turtle (i + 1)))5 \) |# N' ]3 P5 D7 L, a e
;;*(exp (-(people - 2)))/(people - 2))]
% F( C/ X5 c% b; J* b9 Yset k (k + 1)
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set j (j + 1)
# v, g9 f) a: s* {: M. J/ c2 B9 Q' t% j], s3 X3 L" m# O- r7 L) q7 k H
set note (note *(exp (- (1 / k)))/ k), H: v+ G8 _" O" c7 L6 m
set credibility-list (replace-item i credibility-list note)2 J d, r1 w6 g& ?) h
set i (i + 1)3 X8 u! [5 C. x+ {& j
]" I& {, E8 N+ i
end
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to update-global-reputation-list+ c9 ~ [) X, _
let j 0/ I' G& Q: w+ y7 @1 G
while[j < people]. d2 M" X* [4 ~
[8 @4 _) d$ I$ @3 [/ y' ~
let new 06 b# A- D1 I) h8 ^' p
;;暂存新的一个全局声誉
5 S0 L9 i$ x* l) W- G& Wlet i 0
, v4 w! G/ x* k2 Clet sum-money 0
* A A- ?- k: M+ J9 o1 a* n: Dlet credibility-money 0 s! _" l) Q, C8 a
while [i < people]
# k; I* c7 H) V[5 {7 o+ L# x% N+ J& A; X
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))0 C6 b, x b; b1 k
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list)), T9 x8 R5 d8 T
set i (i + 1)" q) t3 B/ r5 a5 n) Q
]
9 m4 |8 m! A6 Nlet k 0
8 i9 D9 i3 l* F. a; }let new1 0( U5 P% J/ q* H- f3 R
while [k < people]
. h$ [. a: i8 Z" X! u[
4 e7 G3 f. }1 b. D4 zset 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)
( l% v$ D/ i; t. Y0 z* jset k (k + 1). d+ G+ }( N, p5 y0 I0 O+ R3 K
]
: U+ ~6 n& M* A1 a* U9 gset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
- D$ h9 H' v K& Z0 h4 E7 nset global-reputation-list (replace-item j global-reputation-list new)3 x8 P( B# N/ N: q7 Z
set j (j + 1). R# {! g4 y0 _/ h6 S, a7 z& U1 J
], j3 w/ n& }- j8 m% f$ J
end0 R! h, g& l6 o3 p
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+ b( D; _" J3 r9 U* Q* R5 o
* M. j$ |) b* C, _: c3 z- Qto get-color- ~1 I4 M) k7 n; [- x) G
N8 W. }6 _. m' Y$ W1 ]
set color blue, d/ O' w, _5 O% H( E% s8 j
end
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to poll-class
0 t' d) }: M' p( T; `end( m y8 \0 M( z/ t' x) ]2 P: p' _
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to setup-plot1
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5 ~4 D2 D2 `, u# s! o+ y7 R( rset-current-plot "Trends-of-Local-reputation"
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set-plot-x-range 0 xmax4 F$ P$ y5 Q% i2 X6 u
$ j" R `/ V' B2 Uset-plot-y-range 0.0 ymax* ^" V/ `) r2 y
end
9 T* Q& I; A" f( U
* _: x# g: t' U& @7 B! Jto setup-plot2/ u: u# J- M' U' {0 h1 j
1 C9 Y- t' Z- s c" ~3 G" w
set-current-plot "Trends-of-global-reputation"
, ^! C U3 O% W3 \* t9 B9 i, z
9 f8 P1 t J& L- k' x# m* ~, Eset-plot-x-range 0 xmax% Q, W9 f4 ?4 w0 J/ V0 N
: o8 f; _! p* I/ }; f
set-plot-y-range 0.0 ymax
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" s4 g; ~% `% x8 t6 \to setup-plot3
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( K$ p. y8 h/ V: g: rset-current-plot "Trends-of-credibility"
# Z, _+ A) O" f* r6 B2 | x
: G7 q4 o: c9 c& Vset-plot-x-range 0 xmax
1 W) U% j: c4 Y+ A6 Z5 E" _7 E1 X( n6 T# t, `% {& p
set-plot-y-range 0.0 ymax: F2 A, I4 X7 \0 X! f( |
end/ Y5 S& ^" r# T- P+ |
$ L4 @4 B; A$ j" J1 U
to do-plots
7 |: L/ v( U& h0 v8 \set-current-plot "Trends-of-Local-reputation"
% @/ `* t& m0 ^* Lset-current-plot-pen "Honest service"
" A/ X7 f( h$ R W/ ]9 dend
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8 i- K: t8 n4 g* Y" C* l( n[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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