设为首页收藏本站

最大的系统仿真与系统优化公益交流社区

 找回密码
 注册

QQ登录

只需一步,快速开始

查看: 16003|回复: 10

[交流] 关于turtle的使用问题

  [复制链接]
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:
. q% x- E7 U$ B! Y+ W6 c+ lto do-business 5 s. i- ]3 I, b7 H1 _! b$ e; B) ~- Q
rt random 360
# v; L. j+ _! }5 g8 T3 u- U' p0 t fd 1- O: w4 o7 Q. N& R/ I0 R; M2 X
ifelse(other turtles-here != nobody)[
4 B# ?3 c) n, ?0 K, I' g1 I   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.
1 D3 k5 Z+ S; x5 k   set [trade-record-one] of self item (([who] of customer) - 1)  [trade-record-all]of self    # j( N9 o# k% T# ]% b/ W
   set [trade-record-one] of customer item (([who] of self) - 1)  [trade-record-all]of customer
8 D/ `/ s. @* i; h; K   set [trade-record-one-len] of self length [trade-record-one] of self" \0 Q( N$ V) p6 ]$ T) Y6 p/ l* c
   set trade-record-current( list (timer) (random money-upper-limit))$ m: Y* S1 F' @) Y; R) f; q1 D
0 b) R9 s. t5 Y
问题的提示如下:
+ M+ m( V  T" Q7 |' _& I  L, w* e
+ p* r' i2 K- H) C  `& @error while turtle 50 running OF in procedure DO-BUSINESS7 D9 F! \" G/ y
  called by procedure GO3 ^/ V  W/ P7 {( \, d1 @9 I' |
OF expected input to be a turtle agentset or turtle but got NOBODY instead.* J$ `: I0 n/ k( ]0 F, V! R/ ]; ^
(halted running of go)7 s0 E5 H) Y2 a+ C' E! l: J
& c: o! T  s2 O8 d% i2 f: g+ u8 r* i
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~~
8 Y8 _0 L) e% `( B& L* f& W& q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.

本帖子中包含更多资源

您需要 登录 才可以下载或查看,没有帐号?注册

x

评分

参与人数 1仿真币 +30 +2 收起 理由
booblu + 30 + 2

查看全部评分

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3 ^! B! a9 X7 u* B. r
globals[- c* h* h% z7 Q! o* r
xmax$ {. ^" A' [1 e' w( }5 ]
ymax% _% U  i) b" s7 C
global-reputation-list* ?1 G/ n! j" I/ }$ d. K9 d7 U" ~7 }

7 k( c/ e( W% ^7 Z3 z$ [;;
每一个turtle的全局声誉都存在此LIST3 x1 k7 b; B) G( \
credibility-list
( }9 B$ m+ M8 {+ B9 B: l;;
每一个turtle的评价可信度
; F2 k% u1 \9 r4 Q* E! Hhonest-service( ^& M2 [6 p3 [+ I% w2 m
unhonest-service
( B2 V* S$ V- `0 `9 f4 j6 Voscillation3 {( G" ~5 o$ ^
rand-dynamic/ V4 C: j$ W* ?! v" y
]
  i# S- x9 E8 n7 ]' o6 i$ _' `8 g/ p- f9 w5 D5 }1 X( t2 A
turtles-own[5 q% h9 l3 Q$ A; E, ~
trade-record-all
# n- n+ L  u; P4 h, \% V;;a list of lists,
trade-record-one组成
, v7 Q. L- v& Z' W; S$ t4 Z' Ztrade-record-one8 s$ p- }3 b8 ^0 _' S7 `/ L
;;list,trade-record-all
中的一个list,作为暂存用,记录两个turtles的交易记录% s  r, G2 ]6 G6 U9 n% z* u
- n; R( v1 j( u. Y5 g
;;[
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]]
9 |4 x+ d3 {. ctrade-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]% B. j' w5 X" D7 s0 O' b
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
: ]/ C/ Z% A) nneighbor-total8 n; z6 v& k- B  T7 g
;;
记录该turtle的邻居节点的数目
* X# p7 G6 ]) w  m6 A1 Ttrade-time& b9 w5 |' |+ d
;;
当前发生交易的turtle的交易时间, \  K) D7 ?  X. \( ]* e. Q
appraise-give$ ~* f, x% C5 T/ d% R: N
;;
当前发生交易时给出的评价
' I% Q# @* }) M- @appraise-receive: Z+ C- |4 o# E1 r! e+ {" I
;;
当前发生交易时收到的评价
- M3 q0 Q! Q& p7 mappraise-time
& A* Z% J. W# M  o;;
当前发生交易时的评价时间1 @9 u7 q3 q( ?, m
local-reputation-now;;此次交易后相对于对方turtle的局部声誉/ b* B. p$ s/ D- ^- y4 z% K
trade-times-total
% d3 f/ [" r6 e& u8 [;;
与当前turtle的交易总次数/ J' K& [/ h3 O" ~! k
trade-money-total; F5 E5 O2 p/ N4 j# c) \
;;
与当前turtle的交易总金额& ]/ e4 a% m6 v
local-reputation! a8 X5 i8 i6 A1 f# I" G
global-reputation
+ [' G) {& _" }) V3 Q5 F  j& q+ _9 tcredibility; D+ H  q2 s) X5 v! V" ]
;;
评价可信度,每次交易后都需要更新
: z+ H$ k/ V8 M1 ~* W4 Wcredibility-all/ {$ l, z& `( E; y5 j
;;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
( d# E2 p! w1 i. G& Y# d
8 {) z3 n' K+ |8 U6 u, n+ z# U;;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. ]  L+ G' V2 s5 g' R) E* s0 r9 I' }
credibility-one
1 y9 V( u1 o% R5 c$ Z, d) j9 F;;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' i7 p2 z0 D. ?/ d# m! P
global-proportion
% e: x" G  k- b( X! K1 @. Lcustomer+ B3 o, b2 B; s
customer-no
( N( H" }, _% S( [$ E7 d- utrust-ok
6 x& F) H4 j8 e6 j8 c) M! btrade-record-one-len;;trade-record-one的长度
1 D; T& V" i- n& ?1 Y- w]
; Z4 \+ ]% a- p& j' w
. Z6 t1 U7 B8 _5 G$ m;;setup procedure
# s4 E1 T) M) @# q8 c# o; ~0 ^3 p( Q7 s* H  X) j3 q+ l, g1 s
to setup6 z( v! V6 x- h; s" C

  o( Q6 Z  N6 w" b& |& O! Wca
2 n# f3 k* Z" \0 l/ s1 b6 i

4 }' F, R) M5 y# winitialize-settings

/ k) I7 w- n  e
# T. b! C. B) [crt people [setup-turtles]

  b3 w" z$ m; \7 J
1 }0 N* [4 O2 T/ n2 Jreset-timer

$ Z  ?3 d5 o' j0 X
: H% ?3 d+ h" A# K7 dpoll-class
% D; z  b$ A% j8 \9 b
  M4 c5 u0 X3 [; U+ o) Y
setup-plots
: n' L1 p8 G- I; q- r2 I! u
, I& @; V. j* h/ C( v3 O7 ~
do-plots

; v. P$ ^7 k1 \) y# Q" A7 Zend6 e! \# Y1 B/ E0 m/ F
; O! x8 j& |) m0 y% I/ }2 k
to initialize-settings
% R. d7 h9 k3 X' u9 ?  N* `# a2 b  L# Y1 H; t5 H8 Y. a& r
set global-reputation-list []

% v* m; k  S2 c1 D% C& N% s. ]% C, j6 `4 Q7 U: ~
set credibility-list n-values people [0.5]
5 P( W7 M8 c6 `  v$ d
: Z: r5 z# ], }. c/ |& n- P+ ^- }. `
set honest-service 0

9 u. T7 N1 X, ^0 l) w" y7 S7 Z9 o* e# Z$ G
set unhonest-service 0
  n# t  @7 X- @' R( d+ \% k- T
1 |% w  Z  T7 L) n
set oscillation 0

, ^% _* e' t  t: D! L' W: i
9 L4 y) H4 z- v' D& \% jset rand-dynamic 0

* s% N3 a) ]9 w( s$ a6 D! fend( f, N( M* w/ E7 e& a: w* G

8 B5 [& Z( B/ [: `* Kto setup-turtles
3 b  Z" H2 b7 {0 ^1 E; r' H! mset shape "person"
2 ?, q' l4 R) [9 `" zsetxy random-xcor random-ycor
% M0 h& q6 U/ J  \set trade-record-one []# J5 D9 Z% h1 U9 D/ [' f: a
% B2 S" e& u: n# Y: P$ x
set trade-record-all n-values people [(list (? + 1) 0 0)] , K, k0 j5 ^6 b8 g3 Z# U

. I% J( [9 c( h' z5 p* Nset trade-record-current []
5 @' J% b; z9 `, Y0 Fset credibility-receive []
9 W8 g; {8 M! T2 _/ E% @set local-reputation 0.5; m) _8 g) |' b" ?/ V! S3 G2 j7 \/ h
set neighbor-total 0' \% F+ S1 [, E9 w
set trade-times-total 0
, W4 g- ]; s4 ?$ Qset trade-money-total 03 X2 R" B$ n+ H% E% L
set customer nobody
( t' v) s: m2 K9 K( n- y0 ]set credibility-all n-values people [creat-credibility]
1 j* }: b- l/ ^0 p2 e9 ^/ pset credibility n-values people [-1]( P  V) X$ k- T( V! U
get-color
* a9 t/ ^. `0 F7 r6 Z4 [2 j! R

* N$ V/ Q& Q) ~3 L# jend
# i& I- a) n. w4 a( h
0 F; b- e, j. l& X8 M6 j* r' cto-report creat-credibility$ `  J. r3 K3 P8 c1 f. j
report n-values people [0.5]2 O# I- _4 I; s
end
8 e& I' W9 @1 ?# Z/ r+ Q) |9 L! ?8 K( n% |& g
to setup-plots) N  W* Q' l, X; l9 z, V

1 ?! g8 f3 }9 |) `- T0 Wset xmax 30

9 G# E9 e7 }- A8 y; \' ~+ z& a
, e9 F' D: X2 |* J( \- aset ymax 1.0
2 u+ X% l* k0 }: l6 ]1 a
$ @) D# C. G" g
clear-all-plots

  ^: _" c9 ^: H7 x. D/ Y: K8 l0 s) E  c! w, ^$ D
setup-plot1

) @: [0 j: [9 Q% s! O' J# K0 s& m6 N' d! T2 v
setup-plot2
/ m$ p5 E3 F% \- u- X, u5 [5 J5 F

* x9 |6 N$ H* `; Wsetup-plot3
1 N% E& J6 O* f1 J  d
end
% h: U# ~# B# C* H5 x
$ I# C7 C# `8 O2 N9 U1 ^;;run time procedures
6 M. _! Q- S  l  E& I
6 ]& q0 \' y2 e6 }to go
" E7 ]8 v2 h& s3 c( x. n  B4 `( A- y( J5 \
ask turtles [do-business]
; r. t* A0 ~& @* n) O/ ~0 a; G" S
end$ p8 f* W7 c) _
$ H2 f& c6 B5 B. b% |$ i
to do-business / K0 L2 D7 S" N# K% z4 d

* P0 |8 ~* }% _6 {0 [" V( w& ]$ C& E3 n1 I! o- W
rt random 360
3 w( j5 ]" E$ t7 l

2 B. w2 _0 T* t6 }fd 1
; ~" b# g$ p3 ]) |8 c8 l: h, e7 g% j5 `
/ s1 a3 i  _: T. t+ k8 Y& ?
ifelse(other turtles-here != nobody)[

. n! o& l0 x) \3 i2 c  o- G4 o$ U
2 B( m$ }- ?1 d+ T+ |set customer one-of other turtles-here
6 ]' R, }) Y* A  K7 M
* Q/ R. |4 Y# P6 e
;; set [customer] of customer myself
: ?0 K) w0 y3 ~) J1 Z+ b6 Q" ~

8 g& _% X* L  W/ N9 p* H% t2 i, fset [trade-record-one] of self item (([who] of customer) - 1)
, r8 K0 x$ I* T. W( A* H% q[trade-record-all]of self
. V! v! ]$ |2 {% z8 j) f8 M;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self

+ T2 v5 t9 U4 [+ m$ A3 Q; v' v4 V5 _
6 x! M& T3 b8 ~% j- W) l' lset [trade-record-one] of customer item (([who] of self) - 1), t1 }8 X; k( A/ g% u9 F! f
[trade-record-all]of customer

6 J( g5 m% `$ b; t) |3 h0 Q+ o7 y  ]" }
set [trade-record-one-len] of self length [trade-record-one] of self
2 C& z# N5 l0 _
* v9 _0 x1 }- S2 `" I
set trade-record-current( list (timer) (random money-upper-limit))
9 D2 F) D" |/ u

  ~  _/ W) p5 w& q, u; ?; oask self [do-trust]4 d# T6 y, J4 B' ^9 z& I2 ^
;;
先求ij的信任度; b5 |+ n6 i& Q+ F% o& t; m0 _9 _; x8 f

& E5 b5 b0 x1 k  Z" d" dif ([trust-ok] of self)1 s$ d  @  }& L
;;
根据ij的信任度来决定是否与j进行交易[
. R: G$ v: j" x# q0 ^ask customer [do-trust] if ([trust-ok] of customer);;
这里可能会用到myself
/ R+ I; Z6 y% j
  m% U, o9 H7 C[
7 @1 J) E: l' I

/ s8 h- d3 |7 |" w  O1 y6 i6 v. ^do-trade

. T& b' W9 z5 n% ?+ k
( H: G& `/ l5 K/ K# y5 |/ Iupdate-credibility-ijl

+ @6 A: {! b0 T7 S
% R0 i' c7 g. w: B. Gupdate-credibility-list
& `! E" ]# R+ J4 q# Q4 C1 }+ T
2 o6 P5 j& W' A
, o, f. k- }' d1 p' Z* K" {) y0 A
update-global-reputation-list

5 V9 @* J* A" D! e7 u2 e1 v
* b  h/ p3 w" V4 D% j3 C. ^poll-class
3 A  h7 u% A- t; d: O& B+ U! v& |
8 V( ^) w& L2 Y- J: C  ], F
get-color

% d0 o7 F/ \2 ]6 x1 n3 C
; U6 E% W! l! _/ z/ v9 B3 z]]% @. b1 e% P) @6 q  e6 w1 `
3 @" O3 N2 |# R0 A9 I3 b
;;
如果所得的信任度满足条件,则进行交易
+ a* k8 z6 G. ^% ]( n  D2 h7 W
5 t7 ^1 t5 ]$ V# X[

; O. J8 ], O4 m+ @% @' f, X+ e% G7 l& P
rt random 360
7 O# A3 r- g! |5 c
* K% O# g! _- ?
fd 1

# o. i; B' d% o% o! U% b) P0 |0 f# {- Q  c  V# K( |3 [5 m
]

* P* H+ i- U( B2 J5 i5 a% \( p$ L  U) r" K- Q+ s0 H5 h) ~6 O
end

# n" z, j! T2 [) U4 F3 O- M: \+ J! {, W+ A
to do-trust 6 J+ A" ^* D- s6 p! f
set trust-ok False
3 M$ Y2 j$ |. v5 s% Q2 ]( B
8 R2 W6 [8 n% v. h4 t8 k

5 r; L( u8 c* B* u+ l( ?) Y4 I9 Elet max-trade-times 0
- S& P4 ~+ o+ f$ Yforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]' u; p9 C% z$ a
let max-trade-money 0
# m9 B6 ~! d% \3 bforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]0 p; D' e/ r8 ~. ~0 v3 X
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
! E; v2 Z1 G2 M. y
" Z" r" _2 |8 @$ `/ ^$ Q

- {8 c, f) o& wget-global-proportion: C* {) g$ [1 h0 f8 i& }
let trust-value( _3 z5 Z! H4 r- ?/ }
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)
( _6 f- o! M3 [5 h
if(trust-value > trade-trust-value). y' \4 z, P. p8 e/ m
[set trust-ok true]7 [5 T4 p4 e6 a# z. Y9 V
end, K  I* f4 H# v( a4 c

$ L. j1 V# p; cto get-global-proportion+ [( g3 N5 L& g" Q4 B* ]
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
5 r( C" Z, C4 c% m[set global-proportion 0]
8 r4 `  p% L/ W! w6 ?4 T[let i 0
+ b! d# i' ?) Z: b( F/ Plet sum-money 0
! x: f1 j% v% H5 s* A+ Uwhile[ i < people]
0 H" U$ s; x, R" m[& o6 I8 n5 a& _4 U; z- Z
if( length (item i
+ K# B7 q* {/ l% u4 A$ T. ][trade-record-all] of customer) > 3 )

9 V$ W+ k7 H# x  _[& I; ?; _" C" a* \0 y3 u
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
( o' V% h4 n/ l/ w" C1 ~]
% w. D; x1 w# D, b  b0 a# c]
9 I# E( F- ^# n/ llet j 0" U5 v3 }: l* D2 H4 i* [, K
let note 0# {/ M6 E& f% K2 {9 J' O6 _) \
while[ j < people]1 e, E8 T; W5 r7 |: U* d
[
1 D/ `2 v+ m, ]1 Mif( length (item i0 L( o9 Y2 D) V# ?
[trade-record-all] of customer) > 3 )
' q6 H/ }9 x; e" X+ I# M
[
- d8 @$ o& J3 f5 b1 u3 r- w: Z8 rifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)* ~* t8 Y2 J& Z) X0 F& d2 E" n$ F
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]8 |5 O' E* V' A  \$ n2 Z
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
/ \; s" {1 z" m8 i! Y; l2 N]# O* d) E, a, S! c% C( f
]6 \- U. `0 S) n; |- |: u* K0 q) U
set global-proportion note
( m; P) U3 s5 D]
( @8 a( q% |) N8 Nend
  r2 b* [  H( Y5 }$ y/ j6 W
! T' n. i1 W* r3 m) {  f2 l; Tto do-trade5 C0 W  Y8 V0 p" Z* f
;;
这个过程实际上是给双方作出评价的过程. i" @5 Y5 ~) G" y
set trade-record-current lput( random-float 1) trade-record-current ;;turtle 得到的评价
* Y( O8 S! t6 ^/ r! }set trade-record-current lput( random-float 1) trade-record-current ;;turtle 给出的评价$ ^+ m* r/ S- r/ x
set trade-record-current lput(timer) trade-record-current
/ e. ?) O6 ]! J; D% c: P2 c' Z;;
评价时间+ A  f2 {- i) u* ?3 R% h/ ^9 `
ask myself [( U4 r4 k0 G5 e: q
update-local-reputation: Z( Q& M5 J- G" t6 ~% b' e1 v; l
set trade-record-current lput([local-reputation] of myself) trade-record-current& B3 y' |2 A/ I! r
]
! Z/ p$ _+ b$ `6 v# _1 Bset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself& v: |7 m$ u! i+ Z1 Z; D) M" I
;;
将此次交易的记录加入到trade-record-one$ r- H7 s1 g. N+ W
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
& M5 A. ?: O! S$ jlet note (item 2 trade-record-current )
* j9 j: j7 K; I* A  W, pset trade-record-current
! G+ u' t- K6 h(replace-item 2 trade-record-current (item 3 trade-record-current))
' R. |3 g/ A1 i
set trade-record-current
3 G% J; l+ r# g9 }, w1 ^(replace-item 3 trade-record-current note)
. T1 r! m1 ?& _0 b3 A4 f- n5 s& ~5 `* g1 n9 A

! l" Y% L* ^  q1 H/ x3 Zask customer [8 I6 g& b9 l: M3 Y
update-local-reputation
+ K9 F7 {0 |" A* R) O5 n; Pset trade-record-current! e6 Z3 m) c; q9 H0 q: \+ f
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))

' x9 C8 M, ^7 l. l4 z0 ]]: W9 y( U: }. J* G# _% u3 x

2 C% c& N9 K, U, l% R

" e9 p, k9 p+ ]: Eset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
# e4 L  e. a  L( I9 F- Z) o

) f, [5 Z+ h; F# t4 X  g( Oset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))% U1 W; M9 Z! U% N6 L
;;
将此次交易的记录加入到customertrade-record-all+ K+ s& O4 q; G
end2 T/ W; _. x* }

+ t+ U& z# @8 `8 Qto update-local-reputation0 k8 Y# u  n! {, t& m* }) c& T
set [trade-record-one-len] of myself length [trade-record-one] of myself% A. e$ E( s/ v5 x/ ]0 ~' S

& x  e, Y) L! `( x/ g
# g6 `4 W  u0 ]( l5 O* l2 ^: w;;if [trade-record-one-len] of myself > 3
4 u" z5 m/ d* r1 r
update-neighbor-total# f0 g% Y6 H7 X; ^& b& m
;;
更新邻居节点的数目,在此进行* z) e/ l% L) @
let i 3: Y2 Z9 q3 ^& f
let sum-time 0
8 v! C% H: @  B; I$ r0 _while[i < [trade-record-one-len] of myself]( [: D8 i# e1 K+ i6 A! \
[
  Q  s  @+ @; |set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )' J+ b2 u  b4 m- B" ~! D
set i+ U& |9 s3 c4 Y' W
( i + 1)
7 Q% Y7 M! v' S" P0 B# L% S, M- E
]
. g9 q( [) o* m+ Y& B3 R  y" ~let j 34 X! X/ f& g; r, U
let sum-money 0
, C  q- f2 O" t* T2 Awhile[j < [trade-record-one-len] of myself]
7 @7 J( B0 B6 `2 k( @5 Q[
, G+ S, @0 L0 Sset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time), o9 ^. S0 U+ d3 c1 j2 A; Z
set j
, n. t5 f7 u& z, z& M; m0 l4 e2 |( j + 1)
4 U7 O; ?2 P' u  I; }& h
]
, K1 W* }+ c0 Nlet k 3
- a8 k. J# {5 F1 Z4 o7 alet power 00 U5 `) ^$ F' V: {
let local 06 _" g* F7 a# f" J* Q' f5 e5 g& q4 u
while [k <[trade-record-one-len] of myself]
$ N. I' b& z! j[
, ~0 Q9 P4 ^; V6 l- j4 Lset 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) # N' L" ]8 b& S: e% r- f+ {% g
set k (k + 1)2 d  c9 T, {5 _3 V
]
3 @4 ]7 C0 _# q, ]set [local-reputation] of myself (local)% O/ b( k/ s5 E, q" I, [
end$ |; u5 C  o  D4 w3 i' C

; X3 w1 P, C$ M7 ?7 Eto update-neighbor-total
/ {* S2 [% t: u2 e/ Y: V5 O' `, T) J( G0 n" R2 A
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]9 F9 ?/ ~0 ]) j0 q' M, A

0 O3 q  \* A9 t3 |6 c; D% @* L& n

- w) \1 ^, c  G- ?  I# Z3 `( Uend' P, J5 V  U5 ^0 o
0 [- S' [% M) d
to update-credibility-ijl 5 s# Y+ d8 n9 u0 g

+ o$ e& u5 w2 t& y% R;;
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。
: f  y; r$ Q: O5 x$ G/ Wlet l 0
& e1 R% m0 w+ R( \% I3 l3 lwhile[ l < people ]. k0 O8 k- D2 q' P6 h; f  X& d
;;
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
9 I: l4 x8 m* k[& T8 W- _, E' \' c1 e$ ^
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)8 w! x) t3 l  H& I3 E
if (trade-record-one-j-l-len > 3)3 U4 \$ O  X) H. ?& |* ^
[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) {; J$ L* A& D
let i 3
4 [9 `. G7 U8 u, R% flet sum-time 0
- O* z4 f1 R5 G5 w. f. ~while[i < trade-record-one-len]
1 D1 `* A; h0 V[
$ p) l* p" u; x/ t' |8 gset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )3 v' V* u3 n' |* b1 H( z
set i/ g: G; g3 }* d- d1 l3 T
( i + 1)
' j1 d& c' j0 w, `
]5 V/ x( ^/ ~9 d3 ]( C/ M: O* m
let credibility-i-j-l 0
$ E( N* e( y4 ]! I! \& B;;i
评价(jjl的评价)- D5 B$ C0 A5 r' O# l; D
let j 3
. G* N" Q! D7 [, P8 @6 X9 M5 Hlet k 4
$ {' g; U" t5 K2 |4 c: Twhile[j < trade-record-one-len]# B3 w9 I- y) Q; V3 c5 P' e  v
[
4 L5 k6 u5 E' R3 l7 Pwhile [((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
' [. ]0 g. e7 n# s9 |  N% ]7 Dset 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)1 d) x7 z3 O# R9 |. o: ?
set j
2 R' w" `% T/ K! d; I8 E0 d( j + 1)
3 Z! S: p0 L% h! S, a; q5 v: d7 C" z
]
4 a: F1 {, y4 R5 \- Kset [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 )); u& K; i7 O  Y; B4 ^1 i  _! u
1 e& B# a/ p% z, t3 K
  H* }. A! o3 d9 D9 ?' N  X0 p
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))2 T% h  X, j- C4 `1 U) J# K# }
;;
及时更新il的评价质量的评价
, @  i+ j  X! C4 i7 `set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
! }9 z; z3 K( L- W7 z3 R. {7 H( Uset l (l + 1)
' p* l/ `% n. p7 e  g1 T: U, m]( S1 g( t- |8 `( p" L9 X
end+ R. K/ e7 ?: v5 R  e" `$ I
* R6 u4 D" m8 S  s. {
to update-credibility-list& S$ A! Y' [4 z
let i 0) W/ P7 C# a. K, K
while[i < people]3 D. `* K- u8 s% I7 V
[- X! L* w8 k9 w0 Q! Z' x
let j 0
; N0 G% y, P9 r6 f" |0 S  D. m1 elet note 0
7 _, w2 O  S1 U2 e  qlet k 0
2 {4 O" U9 f2 \" ?& C;;
计作出过评价的邻居节点的数目5 S) j5 `5 I+ P) U: y7 V9 ~
while[j < people]
6 G/ W9 c. X- `2 q' ~- U  |[6 x3 X- D: j; g: U* S" k. D
if (item j( [credibility] of turtle (i + 1)) != -1)
2 i2 `; p& D* H0 C% U;;
判断是否给本turtle的评价质量做出过评价的节点
. _5 r9 ?* B4 F[set note (note + item j ([credibility]of turtle (i + 1)))( b, ^0 e+ s; q, F6 p% Z% c2 H6 X
;;*(exp (-(people - 2)))/(people - 2))]
3 `2 e; ^- h. [4 r. N- t
set k (k + 1)* r  ?6 p3 v6 r$ P& [# T& Z
]
( R7 X# L' G3 [1 k' y. y  Gset j (j + 1)' c9 y- B" [1 f
]
0 ~# b; j; y* |7 o7 }- M- N" c0 Lset note (note *(exp (- (1 / k)))/ k)9 k4 s$ H  [( L- x% [% p% R. v$ c5 H& a
set credibility-list (replace-item i credibility-list note)
$ B& r, q, B+ c) i. E. Aset i (i + 1)8 I8 T: b  R, \/ g; [
]
4 G+ R; n% m  y# K3 yend- O$ ~4 {* v: Q9 _% a' ]! o' _+ z

9 H9 m* j0 F' ~3 f8 Tto update-global-reputation-list0 |6 H( w4 y% [1 W
let j 0; y, l4 J. \) K6 N* t  U( Q0 D
while[j < people]7 y0 j' r% V9 M2 h5 {. h
[
, L$ \% v  p# klet new 0
7 W& y" G2 I! [6 _& r% @;;
暂存新的一个全局声誉
6 v- p5 N4 A  o5 r  m) L8 f0 dlet i 0( q& O& H! R0 y) u% I+ N
let sum-money 0$ C0 k: ~0 ]+ Q. w& ~& N+ y& _
let credibility-money 0
! s/ d; |" w/ Z( H0 x* Uwhile [i < people]' L* T) Q2 ^/ z3 h4 O; o
[3 {0 m4 E* d9 `  m# d
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
! @; Q2 ^% I2 [; |/ kset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
4 A+ k; k  P7 V! N' hset i (i + 1)3 R8 b, u7 f. z
]0 ?; W. E. O1 c' O. z& b& n
let k 0
. o; f. C- {4 Alet new1 03 m. N7 {& }# q- D4 p3 X
while [k < people]
3 K% W5 Z/ ?# w+ V[
- t$ F4 G: B+ fset 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)" Z1 \. s' n. S6 U( r
set k (k + 1)
  M( f% q: P4 {]* b, u* J) S: @5 p3 l- E
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) " |/ w( V4 y" L- Y$ z8 b
set global-reputation-list (replace-item j global-reputation-list new)% g. u" ^; N8 [  g/ {) F! g- a  l
set j (j + 1)
6 q5 C9 P2 e% q# ^% A( Z]2 F6 w# Z+ `5 f3 S, I$ W/ ?& o
end
. N" _6 F- }+ }2 v
. X! p( D/ d; B8 Q; a5 V- z$ |
- P/ u2 z0 D& z, e# Q: H! y$ G/ n0 ]% }) l
to get-color% }* c5 A' B8 F0 y/ k3 e4 S" X/ R

) q3 }9 d7 \" V% C. Wset color blue

! @* s1 X) ~* p* \! ~0 l2 eend! t7 [% v0 |* |' u* A7 E  u

& L9 z6 i+ T9 a. ?6 H+ eto poll-class- r/ T, `/ V  F- q0 x/ r
end! {4 Q. l) W* e
; \/ L9 x, I0 i/ G% p$ Z% }2 {; o
to setup-plot1% L: C7 G/ Y( M. _- q1 ]

! q+ {5 `, S' a# X8 s& ?8 R* ?" uset-current-plot "Trends-of-Local-reputation"

' l) o1 _7 k" F/ d& m; u) p: V; Z9 \; c
set-plot-x-range 0 xmax
% ?; I+ m/ [* t# K* p
* ]- d+ Z' H0 s# d- C( m, @. x
set-plot-y-range 0.0 ymax
1 G9 }, R9 I0 w8 b: I7 O
end
# I6 U7 C: K1 b, Z- l- d( {2 I8 ?+ h3 J/ s) V
to setup-plot2
3 {! C7 c3 y! a( I9 s/ `' b8 ^: M" {6 Y& M3 x
set-current-plot "Trends-of-global-reputation"
# O( w) F" a9 J& m( x! w/ h6 j) _% l

% k( k% N1 V9 D. f7 aset-plot-x-range 0 xmax

) ?. y0 p: i/ z+ @$ P* h) O/ F4 |0 _# T* Z, f
set-plot-y-range 0.0 ymax

9 J) W9 Q- p: b2 Yend0 @8 F" p- v; q' v& Q2 c! _$ U

1 j9 q! ?( x  @8 P4 X9 o* j3 ^to setup-plot3
, ]9 }/ {- `+ K/ z' U4 N7 G4 S4 ]/ Q% m& s4 u1 B3 s+ z
set-current-plot "Trends-of-credibility"

* M; H8 M3 e5 h" A/ ]* g5 `  ~8 a+ }" s. }' O  n9 X- I
set-plot-x-range 0 xmax
- q: T; b" y$ ?
7 V1 P' @$ l8 |# O+ Z: O
set-plot-y-range 0.0 ymax

$ `( Z) v2 \. W( R3 pend+ Z9 m' F% X4 W" [4 y; Y6 x

# R0 u" y% _. m. [' y$ M9 F1 {% o8 cto do-plots# {7 f9 L" `2 _& T- |2 R0 q6 S
set-current-plot "Trends-of-Local-reputation"4 N& d% r% k) ?4 b' ]! E
set-current-plot-pen "Honest service"! Z( s0 x1 W1 H+ S$ w. L
end/ O8 J$ R) j5 E: T# {$ K

& J1 G! S5 s9 g5 @- Y, f  g[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ]

本帖子中包含更多资源

您需要 登录 才可以下载或查看,没有帐号?注册

x
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.
7 \+ K0 ?" Q% H% ~
( S: Z: @7 t  v2 \( ~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?
您需要登录后才可以回帖 登录 | 注册

本版积分规则

QQ|Archiver|手机版|SimulWay 道于仿真   

GMT+8, 2026-7-2 16:31 , Processed in 0.015719 second(s), 17 queries .

Powered by Discuz! X3.4 Licensed

© 2001-2017 Comsenz Inc.

快速回复 返回顶部 返回列表