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[交流] 关于turtle的使用问题

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发表于 2008-3-14 16:14:39 | 显示全部楼层 |阅读模式
我将customer设为 turtles-own,初始值赋为-1,为的是当turtle遇到同伴时就将其中的一个turtle认为自己的customer,然后进行交易,如下:* e. R& u9 S, s  U' s6 B2 q
to do-business : z0 H# N) ~' J3 {- \
rt random 360
7 k- e9 H* X/ I) x3 G: m2 [- O% H fd 1' `# p. C1 J& c$ F  o
ifelse(other turtles-here != nobody)[
/ V7 j/ ^1 t' y5 [- v# d+ M( E   set customer one-of other turtles-here ;;这样一来,customer不代表了一个turtle吗?但在运行时出现了问题.
* ?, C  Y4 Y4 l; c( t   set [trade-record-one] of self item (([who] of customer) - 1)  [trade-record-all]of self    ! `5 ?: o7 k) k6 }. n5 E
   set [trade-record-one] of customer item (([who] of self) - 1)  [trade-record-all]of customer  t. x' f8 z& M7 G9 D4 V
   set [trade-record-one-len] of self length [trade-record-one] of self: a: [( r; H$ e3 O( `$ Z2 w
   set trade-record-current( list (timer) (random money-upper-limit))
  i& o$ F/ o( s# g5 e! a7 r" n" C& `7 E+ _1 ~, Y
问题的提示如下:
  h6 ]) D: @- r+ Q
: B* R- ?* Y0 G6 y; Z3 C+ Perror while turtle 50 running OF in procedure DO-BUSINESS
6 l) D8 E) C+ P& ?  called by procedure GO
) ^" r- g3 `5 o* M: |( H, d" u1 MOF expected input to be a turtle agentset or turtle but got NOBODY instead.; c0 i( i% D. ^
(halted running of go)
! `- V5 i# y1 M; i# k0 L
! K+ g2 c7 g7 W% l3 k! T这是为什么呢?我看到一些netlogo中自带的例子也是用这种方法来找turtle的同伴的啊?期待高手解答~~: U" d  E/ H& b* N& _5 |0 F% s. I
另外,我用([who] of customer)来获取turtle的编号的方法对的吗?如  set [trade-record-one] of self item (([who] of customer) - 1)  [trade-record-all]of self    中.

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发表于 2008-3-17 17:34:20 | 显示全部楼层

资料不全

你把你的所有程序传上来我看一下,估计不是大问题。(南京大学)
 楼主| 发表于 2008-3-18 13:10:54 | 显示全部楼层
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
4 z# C" f6 Z: V% r+ A& fglobals[- t( {7 ^/ C+ ^, b* y6 i
xmax
+ }+ o2 X' H* f+ R- e! hymax. c; V# ~- b; R; |8 e! T  p
global-reputation-list
, t; p" K) g8 v/ ], g4 C; n, V
& v% |6 M8 j1 P0 U;;
每一个turtle的全局声誉都存在此LIST
; g% t" G) K. D1 R6 icredibility-list
5 r/ j( d0 v$ i( @! l;;
每一个turtle的评价可信度
- b2 S4 ^! K1 \+ f' S" }2 Uhonest-service/ E! _0 T1 M+ L3 W. e1 l+ {
unhonest-service
" P6 ~; u% W- A" }3 A& d: U/ Qoscillation, w  i7 \. D$ a2 }! c
rand-dynamic
% b& G' ^9 P. Y( ?* Z$ o; L]
, @: n% L" `9 m9 E5 h, @1 Y- U/ \) Q4 Z9 k
turtles-own[
) V! @" `0 N' |: t! `; U* Itrade-record-all
& U# Y' [5 ~$ y# g6 B;;a list of lists,
trade-record-one组成
8 _5 B% M6 `9 E* xtrade-record-one/ ~* q! p0 e1 c
;;list,trade-record-all
中的一个list,作为暂存用,记录两个turtles的交易记录$ T. M6 ^. t( Z& [$ R
1 |! |6 E3 C, J% J3 ?7 r5 Q
;;[
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]]
  A$ }# ^  w  S: P0 Ytrade-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]
; t( O9 d; \$ scredibility-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
6 a" Y1 ?$ e7 X7 _4 f4 h' Zneighbor-total+ x2 ^: S& ^7 s. K& b" `. Y5 h4 X
;;
记录该turtle的邻居节点的数目% Z4 s$ D" Q! j" v$ @/ x8 d5 O; s
trade-time
; J, j+ s7 k7 w' z4 O, y;;
当前发生交易的turtle的交易时间
& q$ g- M  g; d" @& G: f) J" }; |: vappraise-give
9 i: D2 |, |6 O" ]/ {- |;;
当前发生交易时给出的评价
9 C! s3 l  J' _' X5 i/ I& U: mappraise-receive
7 u1 E$ w! H- o! S  X;;
当前发生交易时收到的评价
" [9 I/ h, N, D0 c! y" m& O9 L- S, Fappraise-time# T, H( |& N# c5 `9 \& U! ^; \
;;
当前发生交易时的评价时间, b) v, N' u0 Q& t
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
- y0 S) f$ x/ a$ a# A  _" h7 ?trade-times-total
8 ^' r) \1 E% }9 F( t9 p' o+ z5 A7 w;;
与当前turtle的交易总次数
! @% M' s8 ~8 J" etrade-money-total; ~9 U8 [/ R, A( P6 Z# ~
;;
与当前turtle的交易总金额
1 c, v/ m, x! U( B2 a: Clocal-reputation9 |; M6 R# I, A2 i, c3 H) W
global-reputation) ]7 q  j- T! j( j8 [$ T1 X
credibility
& F6 G: l/ u6 I7 i;;
评价可信度,每次交易后都需要更新
; g* r3 z1 z  h8 N: S5 Wcredibility-all  ?# _2 I6 \2 x& ?
;;a list of lists,
credibility-one组成。[[1j的评价质量的评价][2j的评价质量的评价]……[ij的评价质量的评价]……],其中一共有people项,根据
# A9 g3 f, H3 T1 ^5 E6 |. j/ a
0 [! `0 N7 N+ _" c6 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! C. D" j) R; k% g4 ^2 H, g$ G6 l" U7 s
credibility-one! H3 U/ Q1 T9 M# b! Z
;;a list [i
j1的评价的质量评价,ij2的评价的质量评价……],其中一共有people$ E1 z# {# @9 k% r- z4 m& Q
global-proportion0 q" N* n1 v+ t; Q3 ]+ o
customer
7 w. K& h2 [* q) s8 w9 V6 ccustomer-no
) g; s5 u* q  m7 [trust-ok
* f0 b" G+ M1 }2 S" atrade-record-one-len;;trade-record-one的长度
/ q2 Z# k0 C- `9 c, M* R]
. p; j' r9 l# ]" M0 n# D  Q9 m: \, c9 k& Y
;;setup procedure* `' l! d: j6 J/ i1 V% n

% w' i& o# Y; zto setup
. N/ t" b) Q; g; m8 x1 F. ~5 C# V/ L. f
ca

2 @3 w$ r; P* l1 H* a
! j9 Q! v' s, v* [5 m$ d) zinitialize-settings
) D' h7 R- T3 [' l! e- @( s; v' b
5 @8 `# n, `# Q, Z! Q- `" q/ [
crt people [setup-turtles]

( h- W; l( W9 E6 }
+ w, M0 H7 x8 p! S- y9 Wreset-timer

; w) s2 Z  p; Q- o* T! f7 u# b3 G+ z! l) q  t' f
poll-class

; F, D) G2 c; u/ a5 G6 S, X
/ c2 H; U8 `+ G5 zsetup-plots

( \0 E# S8 R$ ?+ a. v6 T% D
- t! o' N" x% ldo-plots

- c1 R+ b9 v6 x- {) s# L% p+ S: b1 tend
% W, Z; d, n  Q, j$ s2 Q, Z
" q: O8 v6 f8 t4 ^8 r& M) ?to initialize-settings
! ?  y6 ^8 n: n, a3 ~; C# P" D' J* e+ v0 M8 X' i- l% H2 U3 I" u
set global-reputation-list []
: ]4 ~* ]0 k: s! T5 k3 j

& X  z$ _( N- w/ Uset credibility-list n-values people [0.5]

8 @- [/ N  k- [* m. d. g  l% S0 I8 v3 ]7 r& H$ ~* n0 z. [) v7 I
set honest-service 0

2 c1 `- P. c* f7 s  \8 q5 a" Y$ o" b4 `/ z, B1 C
set unhonest-service 0
2 C- w( o3 Q+ E  I8 Y) t- R4 n0 L

1 L2 o  O: Q7 ^2 [$ Z: lset oscillation 0

- Z( _0 ~1 S  s; O9 A" Q
# R) Z) Z  }" H6 R% Hset rand-dynamic 0
& T* D4 X) ~( H& i8 s$ k* T
end
5 m$ R; f) R. j% `9 ]  U( V- ~0 y+ A; A4 a1 t) u0 X2 U: y
to setup-turtles & ^2 u" ?) @; V3 r4 x0 ?
set shape "person"
2 R2 X. E" p" y3 @3 _- u$ `( gsetxy random-xcor random-ycor! a) Z/ K9 f. q
set trade-record-one []
0 C) L" ^/ i5 I3 |) W, n6 W6 J, j

/ i7 ~' F: W2 q0 ]# O0 Eset trade-record-all n-values people [(list (? + 1) 0 0)] 7 I/ P: L: z* e4 n- Y2 P

2 A& V; f  |" ^" {; D  Fset trade-record-current []' I; w" P: f* |. a7 ]$ H/ @" j
set credibility-receive []4 k( A8 u- N9 e$ E- A) P9 W
set local-reputation 0.5
+ }1 J' o6 w8 f3 F8 m8 d# @! _9 Bset neighbor-total 0% L/ g4 I1 d& u* y) a% @
set trade-times-total 0/ {0 {7 g5 J0 E/ S) e0 \% w
set trade-money-total 0% s8 Y0 ?( X) g8 I2 l
set customer nobody3 z8 _" U; |+ @9 m. H5 O; n& f# E
set credibility-all n-values people [creat-credibility]7 @7 w9 E2 |  M. P
set credibility n-values people [-1]9 x  K" F; }5 [5 Q
get-color; i% i1 {' b% z1 f+ \7 B1 Y7 W4 a
  W% W' W8 _1 p7 Z: t* s- b
end7 x1 B3 _9 E" o8 y

; [/ D% O9 n' T5 u5 F! Z6 p' b5 Fto-report creat-credibility0 u! F* ^+ C4 K5 n6 g
report n-values people [0.5]
( f( R: \. S: cend4 R% S& Q, `6 Z; _' b

( E) `7 F' K1 ^$ L% Mto setup-plots
# p+ D# m7 T. \4 x5 y' @* T
7 e9 q& j1 r$ m% f' ?; k1 ~set xmax 30
: g6 Q4 @. Y3 n& `
( y& p6 ?% K) m3 Z! t2 T+ A" H# f% k
set ymax 1.0

0 B: ^8 {, f& A, W+ }
. X' \3 B) U9 x4 S- f$ ?+ qclear-all-plots
" T$ I7 [4 k& g$ |. Y# t

$ M  a* g3 X! G4 p& ?9 nsetup-plot1
: U5 v! N  j" H$ c6 r& }
1 o$ ], E5 c3 Z4 E0 ]# G6 z
setup-plot2
& t2 ?5 d2 m. L5 x$ ^

& ~! Q- j9 n! A* s5 X: A- Psetup-plot3
6 z0 v5 J; M! t) A1 F. M% I
end
2 N5 T2 U; j) t' K: B3 {3 Y/ ^/ c+ c6 w2 p8 _
;;run time procedures
3 I; P; Y3 ^, r+ S9 D) l6 D& H% f! d7 n/ c
to go+ Z' m; Z" b/ Y( l' S8 c

  X" a- v7 X' g/ ]# m# F9 xask turtles [do-business]
! ~2 Y. h" Q6 g
end' ^/ h! j6 w  ~
8 m. z$ H9 e  N* ~
to do-business . F& F" _, M: g. ]4 B
5 P8 Y& w8 o+ W; |
2 Z) o- ~  e1 D, l
rt random 360

0 U6 E! r" M1 H( d2 b9 s' e+ O
; H5 r; x+ E' L3 zfd 1
, y/ G$ {3 m9 n
5 f: k) n9 L+ n( U' i8 I, q4 w$ d1 K) e- _
ifelse(other turtles-here != nobody)[

- P; L! F0 s9 L- F8 ]% r, B, e- l0 q$ n) J: |" i6 }5 h! y
set customer one-of other turtles-here
4 C: |% R; S) i+ U) k
" J' N" T0 j) o  I' p
;; set [customer] of customer myself
9 G( ~" f* G. j: \+ C

) W5 P5 V5 w* [, I* n: a% j" [set [trade-record-one] of self item (([who] of customer) - 1)0 e0 g* O) _) u
[trade-record-all]of self
+ y1 o5 M( n/ T0 `3 g" r;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self

2 |/ |: B) G" G  F% q' d! l  F: Q0 d4 v( n; h  D2 {, U9 A
set [trade-record-one] of customer item (([who] of self) - 1)  [/ P" U( D5 Y8 t& r8 I1 K
[trade-record-all]of customer

. M# n0 b% l: R- M0 {. f. }5 \) x3 Y9 @# j* }  p
set [trade-record-one-len] of self length [trade-record-one] of self

. b$ J5 K  ~& _- A1 `, E3 G, o1 H  a4 A
0 V& z# M" B! M7 rset trade-record-current( list (timer) (random money-upper-limit))
$ N$ S* h8 @& U; U5 T+ |! v! r

/ M8 q+ A2 h% {8 N; a  C3 x0 ?ask self [do-trust]/ K: H5 Z" a$ Y7 L0 _4 Q# q
;;
先求ij的信任度# N: \! b/ m4 u

. L4 l, O/ C! q/ f1 v' ^if ([trust-ok] of self)
( Z$ j2 q  l+ D5 Y" L) y& x( O;;
根据ij的信任度来决定是否与j进行交易[
2 w4 |: G2 p) M5 jask customer [do-trust] if ([trust-ok] of customer);;
这里可能会用到myself
- D+ c) f+ n5 N' T6 o/ \) I
# C, D9 S* n; F, Q4 A: z3 Y1 K[

; i/ d3 H7 j9 [6 l& s% y0 P9 A; h( I2 f  r
do-trade
/ S9 O+ U+ k, t. p4 p# I5 @

0 L6 A# s7 @- d- D% Xupdate-credibility-ijl

! o* `* X9 ]0 A5 b; R+ L* \: q. o9 f6 Q+ x( P
update-credibility-list$ \% k$ C' B% ]6 V/ v" f
2 t8 N2 b; Y+ g! `1 o* ~

6 ~8 q  E; l# Bupdate-global-reputation-list
  X! P7 N. Y4 ]7 r  O4 G4 k
8 e( Z% X1 e$ M# ^" y5 q$ j5 V; I
poll-class

: L$ g+ |: w0 n/ H
6 N$ G1 ^" I, h3 rget-color
% j  s1 s" W5 u
* `1 ~/ m2 J. A. y
]]' S1 O9 w& U. _6 q! z) ^$ S& E

) j' x( z+ i; [;;
如果所得的信任度满足条件,则进行交易5 P7 P) C. p, i4 k

1 ?- S7 p. f. ^' _" `, o' W/ @[

  w. i7 t: {1 |% c6 h9 H
# E+ k3 S( |" e. j& m' I7 ?rt random 360

4 u  I- ~; j3 I/ m
* c) W: h: N2 V7 X& D  U% {3 ufd 1
% V; E8 F9 ^- B/ N9 K
1 f' Y0 Q' y% ~) \# h% n2 U
]
$ R/ y. _+ g, y$ p; w
$ E4 @7 W/ }3 ?' W& l
end
) b$ B( ]7 Q9 k, r( Q3 |
" r8 k/ N5 Z! k2 L5 _4 H& M
to do-trust 5 P* y+ ?. X7 _/ p
set trust-ok False
5 Y9 E- h0 ?+ L- _8 G- l+ l( {1 C3 p  e: L0 {( W; s

( l8 F3 a4 Z! n, llet max-trade-times 0
7 q1 z' q# q7 yforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
0 H. G. Q! e' Q! z' U# Tlet max-trade-money 0
+ ~5 Y; Z! h2 X4 Q1 L& r  |% T2 Qforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]) [. G( U% h: R; o4 R' Q2 f
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))/ k" {# ~( N0 p: T" p6 q
  \' t1 |, z) z

7 f+ l* n( F6 Q3 ?7 t+ Y9 rget-global-proportion
6 I& d8 N" m. ]let trust-value& [4 ^5 D' y6 i; T9 G7 a9 n
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)

0 L; U! z; G+ ^5 g- `: Wif(trust-value > trade-trust-value)/ V/ s8 [! [$ v9 L  S  ~6 U3 W$ J
[set trust-ok true]) j0 ~( L; x* {3 _4 T
end
& Y) W8 d1 l/ z' f3 f/ G" f3 Y, i! W$ T! `
to get-global-proportion
3 C* J% b8 j& ]: l: H$ Oifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
( C4 I2 O4 g% R" f0 y4 j[set global-proportion 0]
5 l$ {' t* B  L4 A$ U  q[let i 0
% w: L2 `! O1 Nlet sum-money 04 r  R, y' P) {1 n/ T5 s2 a
while[ i < people]6 P+ x5 k( l7 C0 s+ n  o- I+ V8 O
[" P. P) D, |  R" b; ^+ }
if( length (item i2 k6 z1 B! h# ^' S( @
[trade-record-all] of customer) > 3 )

' d% i: L/ ]7 t[
: g8 b- g$ L' G4 @set sum-money (sum-money + item 2(item i [trade-record-all] of myself))7 n6 |! j) K* `* ?
]
* m$ _1 ]! S( ~- W% U]2 p4 ^8 h) V9 F6 t, ~# E
let j 0- s; w6 m5 z1 |; i) w) Q( v3 k
let note 0
+ V7 W. K. J$ Y/ Y+ S- lwhile[ j < people]  a' D4 [/ c0 E' s1 l. }. o
[, Y4 u" a; S' J% S0 w
if( length (item i8 f3 h9 ^' h) a& b) O$ E& E
[trade-record-all] of customer) > 3 )
7 [9 {  u3 y, _7 z: D
[. T; J+ r1 N7 s* w$ G
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)" O. J. Z9 {( R7 M* t3 c( L. H  R  U4 q
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]+ o) |. |* W% C1 t; c
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]3 @3 }$ P( g) I( r! g9 w
]7 Y1 A, l7 G3 o0 Q, J, R
]
. Z3 _# u* ?2 |% bset global-proportion note# e& m* }8 x1 U3 I, S9 h
]
/ t* A$ W2 x* Q' n' {9 n1 f) t) @end& S, }" q! Q* \7 p9 w
* N' k9 \6 T  g; d9 ?$ o! x
to do-trade: m# x: n. ^  A, W
;;
这个过程实际上是给双方作出评价的过程
" {( S0 i2 V3 K. Y8 @set trade-record-current lput( random-float 1) trade-record-current ;;turtle 得到的评价
+ O) K3 h  q" O) ^set trade-record-current lput( random-float 1) trade-record-current ;;turtle 给出的评价
0 W$ ^' Q; y4 [. M* Fset trade-record-current lput(timer) trade-record-current
4 Y: l6 A% h* {/ D;;
评价时间; ^7 k1 T. \3 t& \
ask myself [
% J2 c) c# ~8 H3 ]/ d( x2 a  }update-local-reputation
* I7 m+ i" L) h6 @5 y! ^7 {7 Dset trade-record-current lput([local-reputation] of myself) trade-record-current
6 X% v0 h; R, U; L. I]. o  h. G# }2 K+ q
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself& Z3 a6 L7 I( V, \3 f4 @" `0 F. l
;;
将此次交易的记录加入到trade-record-one
2 B% |0 j( A+ @# A. D$ j# l. }# N+ Jset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)# z) e# X0 e4 ^
let note (item 2 trade-record-current )  T8 V( z. p& N! G( E9 |0 p+ F
set trade-record-current) p1 Z" o- _' m2 I7 D
(replace-item 2 trade-record-current (item 3 trade-record-current))

1 \' {1 c$ z$ {' Q3 k( |' q( nset trade-record-current
$ v, ?* H4 W  t- ?+ r/ p3 q* o(replace-item 3 trade-record-current note)" e2 k" q- y' C+ E( E$ T% Q; S! `( J

+ ]% i& X3 h# T1 t# m9 i0 i

; ]4 g. }# O) \& w( z8 Vask customer [% M- |5 p2 ^% p9 P& E/ O" ~
update-local-reputation; c* m  }0 I  N7 j& K( _" X5 j5 S
set trade-record-current; ?' r9 |2 L; q, d: w6 o
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
- i+ l' ^& q0 m4 H* d& j
]
3 u! X2 H- S. Q" [. C& d( p* G( Q! i6 z7 P3 j8 K. x

3 ^3 `' y5 d- G3 J, r. W& n. @set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer  E9 c! r# [) e! ~/ T- u

# F. X5 {1 @  R1 }set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
) n3 w% ?$ s9 q' M5 b;;
将此次交易的记录加入到customertrade-record-all+ S6 f6 p5 |4 P) q5 \* N# v# I5 `
end
! X5 u! S8 h6 r) W# y  t; r% S; `& c6 o" P- ^8 v
to update-local-reputation
, o3 J/ i6 H* Z  p* j* pset [trade-record-one-len] of myself length [trade-record-one] of myself  M( {* O4 ]) s* w% p5 m
+ X3 Q; ^) q* e' [, f! ^+ Z( p
8 D; |. ?  d( t; L
;;if [trade-record-one-len] of myself > 3

% @0 h! ]; L# ~* {5 yupdate-neighbor-total
6 B- h* p$ ~# Y- _* M;;
更新邻居节点的数目,在此进行9 b5 t- m' U4 d2 M
let i 32 _$ }1 }! \+ I4 U
let sum-time 0
- {1 N3 l2 Z/ d) awhile[i < [trade-record-one-len] of myself]" j: q5 u# U1 v7 ]  ~! Q0 z
[, P: N: J# J/ R
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
2 X2 P: i1 P3 \- d# g2 A7 Iset i* t+ M; w( @( L, b/ C  ~
( i + 1)

* b# h5 ?+ r5 F; N% []3 u+ x' h9 A9 U1 }
let j 31 C9 J5 Y8 S( O4 {* E4 u6 e8 V$ p! Y
let sum-money 02 o% y2 h% t4 v  ?9 ^) k* F
while[j < [trade-record-one-len] of myself]! z/ N9 @% ]( b
[
, G9 N# i4 c3 |0 C7 C) F/ Lset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)# B! c( k9 A# `6 U5 w2 B8 \
set j
% O. c' g5 K/ }, Y" I' p: K( j + 1)

8 W5 G$ `' h7 {+ Y- r$ c3 r]
9 |0 F; y, c0 Q; z. {let k 3
* x  C% U$ K% g$ A  o9 [9 Plet power 0
& F0 t" Q( r- E8 m+ A% L* }% elet local 0; E; a9 N9 I+ b# K, P0 m
while [k <[trade-record-one-len] of myself]
3 ?* W$ G- H5 [2 X9 B; m[
1 z0 R7 ^  n4 a9 m& @4 n) }. Eset 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) : h/ l9 I9 ?6 Y! _: L+ A
set k (k + 1)
9 N: _* ]4 p3 T  _]
$ o1 O8 n: e# W1 K: r0 Lset [local-reputation] of myself (local)
' J9 H! q$ m0 r. I2 Nend6 I! @9 g; i+ |9 y
& d2 b* i' O2 c$ J, B6 E! I& r, D) f
to update-neighbor-total
0 l5 M" i# `. k0 s
# |6 ~" l% f  L8 Oif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
1 [% x8 t# C. x% s( {  U9 O1 ?3 g% m6 X3 f+ S' v  t

: ?. D" C! [. ^1 O3 Q! S, eend
$ x8 ~- [& r; T
& q: r' c) c* C# ~* s( p! rto update-credibility-ijl , [8 N5 U! g1 x
/ t/ W8 R7 M9 A& W9 N
;;
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 Z9 J- z4 w1 d: C
let l 03 U: s2 B9 |+ K4 e
while[ l < people ]1 g) ]" @& Q# r) D( a
;;
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0 f7 j7 t2 R+ M! x2 J3 i% I
[; F" c6 ^' ?9 R, V1 g8 _
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)+ c) L/ ?" m# A/ b6 E0 H" \5 C
if (trade-record-one-j-l-len > 3)5 H  n9 C9 \3 E8 V1 M1 o
[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ltrade-record-one  _# u( e: C/ ~- u
let i 30 Z4 f5 C" I; h+ x: N% L3 o
let sum-time 0
: \8 j( ^5 P1 X) S- vwhile[i < trade-record-one-len]) K5 U7 B3 D2 E* h, A
[  B/ m5 Y) u9 ?- ~, R9 ^1 X
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
/ q9 w2 \0 U% y, Y; Zset i
. j5 ]: I( J8 \- t( i + 1)

' z+ L9 o0 [8 v]
- ~, N* z) d7 c  t/ r3 zlet credibility-i-j-l 0. x6 x5 s0 A+ U" b+ e" y2 K) b
;;i
评价(jjl的评价)
9 d$ x8 U5 Y/ o3 Flet j 3, J/ d' n/ H8 P
let k 43 y: `1 w# N+ _
while[j < trade-record-one-len]$ R+ h9 o+ d) S8 V. Y4 ~! c2 ]
[8 k8 V: ]: Y; s  }' l8 Q
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ik次给l评价的这一时刻,l相对于j的局部声誉
) V+ q0 y! y. c! }2 P8 l2 Zset 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)
9 n! w% |  E. P8 K: xset j& ?  H- O. C4 F8 e) Z9 c3 U
( j + 1)

* {) w  E: s- S& k/ E]2 A4 g" X% }6 h
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 ))
9 y* h4 J3 _: p5 }, G" |) h0 o% A% D2 j8 g

1 M9 {5 ^; q- r) x& Olet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))' T9 m3 Y" `# `- Y2 |( y
;;
及时更新il的评价质量的评价
$ A7 s- ]# {; ~- g$ v7 Y$ |5 x9 Nset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
* z1 r* ]4 H0 h; Z1 ^8 u, T+ I, _set l (l + 1)9 u) g* D) j7 a% |% y3 M
]& F  K7 ^1 B% k2 R
end9 t' c$ \- ?1 _
; u4 Y8 a6 s1 ?; b) Z
to update-credibility-list
7 p* g* a; ]& wlet i 0; f0 R( q+ E0 B' }7 {3 Z
while[i < people], N1 ~& b2 c9 q4 W: ]
[# w% }- f- D; m2 N7 @7 e0 @7 Z5 s
let j 05 x7 @% V0 N0 z/ |- ^% t' r" D) B6 o
let note 0# t# a) d- F' H. ?$ x% G6 P) y
let k 0
" f( J6 ?- b) }. s6 K! I! y( C% C;;
计作出过评价的邻居节点的数目& u# H% x: S8 q- |8 M" x* J* t: g4 R
while[j < people], k) u  Z; A- m9 Z5 i9 D8 k# R
[1 h4 P" A9 ~9 R2 l
if (item j( [credibility] of turtle (i + 1)) != -1)0 A5 L; S4 _4 b
;;
判断是否给本turtle的评价质量做出过评价的节点, a6 E! S0 h" c9 i; |
[set note (note + item j ([credibility]of turtle (i + 1))); L0 u5 l7 ~& V4 d  }  r
;;*(exp (-(people - 2)))/(people - 2))]
, l9 K) D9 x# j( T" c9 B9 ~) Z5 m, ~
set k (k + 1)( K$ j. J# W) ]  g: d
]
! p8 n9 u- D/ h# l2 Z2 {& }set j (j + 1)4 o: g; G& b0 o8 `$ C2 I% R: f
]7 B4 O+ C8 N: \2 ~2 W* {7 k0 R
set note (note *(exp (- (1 / k)))/ k)7 ]- ~3 F) R" U
set credibility-list (replace-item i credibility-list note)' t, N. J2 ]* R: F9 q7 S
set i (i + 1)) z* G% K0 c0 t7 O% [
]2 t* P3 H" j  M( z
end7 d3 Z: b) z8 k0 O; F+ `9 F

$ ?/ n& r5 E+ `! a0 ]6 g5 O6 b5 Tto update-global-reputation-list
/ E  N) S; Y, e( K) J/ n1 Flet j 0- [! r+ V7 V8 }" H: x8 u) A
while[j < people]( A  v( q' |/ K  M$ T
[: M- Z$ _4 |& ]' [
let new 0  i) Y# O0 C0 u& R' n
;;
暂存新的一个全局声誉9 \/ T4 ]9 c3 x/ t8 }% W# c
let i 00 |6 i5 w8 u, n/ D8 J  c
let sum-money 0
% |  \* [* a3 `8 n* P* I8 Zlet credibility-money 0
5 p; {+ ?; ~7 N1 Z( xwhile [i < people]( e' J" ~# T- o  z5 h/ h
[
% n) \2 T# t: ?9 z. B8 `- u% Vset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))  c( r- d+ Y, k  N, ^$ ^" H
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))6 a; a! r3 f8 L
set i (i + 1)
* c2 {/ l2 e# E3 p7 U' u) ?& s]
% |( V6 S6 R# a6 F7 s/ J& Elet k 0" T0 G8 o( H- u2 v9 w
let new1 0& N" A) j8 I  g
while [k < people]3 }; D! P: ?2 k  T1 y; {1 ^$ M
[
! t7 Y. M, m* L& K% L4 N1 ?' hset 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)- n& j! ~, N, y! M2 m5 {2 |7 k
set k (k + 1)
. \, }' k. F4 C# J]
) V/ R1 l6 R" M7 p# j! D; i4 s, Iset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
$ T( a: g8 o$ M, M* S, qset global-reputation-list (replace-item j global-reputation-list new)
6 B. E) @: j! R$ ]! z) U4 ?0 e/ Xset j (j + 1)
" n# s4 u; Z* j  n7 o], d8 Q0 E' v: z- m$ N$ F
end& L! P5 k& O" V

% z  ~. Z$ p0 C9 o6 W3 R
9 M, C4 _. ~" l0 l1 Q0 Y( |1 r. N0 l7 X; T+ W$ R% L
to get-color( P: b9 y* M4 f) \) L5 @( ]/ v

  X* L3 g4 }- bset color blue
, ^/ U. n# y, a) p
end4 Y! W  c, b+ Q. c+ ^! q
2 l; m* j: `  E4 E
to poll-class
2 H& M; [- e$ `' _: rend
( X7 ?8 X* z: t' r6 |$ i+ ]6 f9 z6 K; M* N) k/ R% v) u! J+ X5 ?
to setup-plot1
6 e( i/ r# w; T2 T" Q8 w2 n% M2 B, n/ a) o2 z1 U+ O5 O
set-current-plot "Trends-of-Local-reputation"
- G, s! \# Q$ D3 z' }6 T
! i" l  n3 E! F7 N# X
set-plot-x-range 0 xmax
0 l' S* Y& }- d& K, M
3 c. f' A! l' g4 Z* k% n: d
set-plot-y-range 0.0 ymax
9 S$ N, R  m( g, D* o  g) H& n" R
end! c7 _$ B6 W3 B

  e' Z" i$ a( g3 S% b. Q. tto setup-plot24 w* u3 Q. M) T  @
0 R* m4 K! x6 ?0 M% l% G
set-current-plot "Trends-of-global-reputation"

# V: l/ T  s4 B. l( W; m& K- }
) ~8 }+ g% N( C5 Z. Lset-plot-x-range 0 xmax

6 ]7 n- f4 {8 g, w  ^8 K4 z
( L: U4 g6 m1 `set-plot-y-range 0.0 ymax

+ u# V5 H& W& Eend
0 T0 I" w! S# v' f9 Z0 f5 o
$ d( G1 {# k3 Zto setup-plot3" h; u$ o2 S  m+ J& t% a- ~

) H5 L) H0 m7 P0 E, H2 z& V* T" j$ H9 [set-current-plot "Trends-of-credibility"

" x: |# Q2 |. e$ ^+ G7 A
+ b/ p4 _' ^2 w7 Uset-plot-x-range 0 xmax
: u0 \9 ~% ?! V6 ?/ a" p8 l
$ P9 c3 @0 k0 {2 O. ^# {
set-plot-y-range 0.0 ymax
; |3 W/ @2 ]" r5 J2 r
end+ s3 ?" l3 f/ j* h- u

2 z# j) ?5 Z6 ]4 K0 S4 j  wto do-plots
4 e. E+ O7 v% }, X; F+ d% Q) o/ ~" ^set-current-plot "Trends-of-Local-reputation"- P5 P. M3 p* M
set-current-plot-pen "Honest service": n* p$ W( N! ~* P
end: A2 z( s+ [4 t& @

- J0 X/ d6 b  l" f; y[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ]

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发表于 2008-3-19 11:33:07 | 显示全部楼层

有点困难

没想到挺复杂的,我去问问师兄们,不知道你是自己建构的模型还是其它模型的改进,我试了一下好像setup都有问题,别着急啊,呵呵 。
发表于 2008-3-19 11:34:29 | 显示全部楼层

还有啊

发表于 2008-3-19 11:35:59 | 显示全部楼层

还有啊

能不能传nlogo附件上来,一个一个敲太累了,好长的程序啊。
 楼主| 发表于 2008-3-19 12:47:57 | 显示全部楼层
嘻嘻,不好意思啊,现在把附件加上了.
4 K  f2 B( A1 b  u. t4 C2 H) u  H& M- a
这是我自己编的,估计有不少错误,对netlogo了解不是很深,请多指教,谢谢!
发表于 2008-3-22 16:55:16 | 显示全部楼层

程序公式

我问了一下,只是从程序角度来分析,是跑不起来的。如果参照你建的模型(公式),可能会有帮助,我的邮箱是wjcpcahu@126.com.方便的话,看看能不能进一步探讨。
发表于 2008-5-19 18:02:44 | 显示全部楼层

运行不了

提示custom无值,这是怎么回事?
发表于 2011-4-10 14:42:01 | 显示全部楼层
好高深
发表于 2011-11-7 11:36:13 | 显示全部楼层
为什么大部分的帖子的交流都止步于2008年,从08年到现在好像已经很长时间没有更新过了啊,为什么呢?
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