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: 17656|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:
7 h5 N5 V* ]& A& @1 I5 qto do-business
. M* j+ U' z/ S* p8 L rt random 360. G+ _: A( B7 T3 D7 Q$ S9 `0 |7 b
fd 1+ C8 q# \9 x) d9 Z  i, {
ifelse(other turtles-here != nobody)[
& O/ k: i' R- c# x: a' B6 e% C   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.4 X& g) m& c  J& [& \1 Q
   set [trade-record-one] of self item (([who] of customer) - 1)  [trade-record-all]of self   
1 Q1 e1 P; {% E. Q6 j/ g& q- k   set [trade-record-one] of customer item (([who] of self) - 1)  [trade-record-all]of customer* }! k' _3 Y* D7 H( x% F
   set [trade-record-one-len] of self length [trade-record-one] of self1 M( Q! {; x$ T$ d3 e  M
   set trade-record-current( list (timer) (random money-upper-limit))
% A* n" f; P# r7 t) n
; H# Z+ g* g  W* D$ q$ Q问题的提示如下:1 j8 k4 A& f6 S& Z9 A

2 L7 }6 r4 g% J1 T$ herror while turtle 50 running OF in procedure DO-BUSINESS
4 ^8 q/ Q, S# s. J6 p; ?& w0 W3 M  called by procedure GO
$ I5 o9 {7 h. W7 K. U8 j! E7 uOF expected input to be a turtle agentset or turtle but got NOBODY instead.7 F- v: Y$ K2 ^  c2 a# @7 P0 `+ l: E& {
(halted running of go)
6 t( C( J+ d( c4 J. U0 L' u% ^
5 r, ~8 m' C4 R# s7 \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~~
1 R1 Z6 }/ x- q) U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+ b& C. C6 W% n  k# K
globals[; \  `, a0 b; P( P/ z) C- r2 G( l
xmax1 l0 P/ \- y' w2 E
ymax/ \& C1 [8 @, r  W/ I$ L
global-reputation-list8 }! |" I( X- t5 B( p) l: B: W

0 ~6 S+ [0 S6 w- T8 B( s;;
每一个turtle的全局声誉都存在此LIST) p5 }  X  W% r6 ]
credibility-list; C: J& K) K2 ]8 }4 B
;;
每一个turtle的评价可信度
1 W" Y: L5 R4 A  \honest-service
+ g) B6 K/ l, c3 d" f) |unhonest-service* ~6 d. J  z6 h# X3 E9 o3 z
oscillation: k: t( @8 f/ l; Z' R, L
rand-dynamic9 m3 n7 O) r; }
]
' N: A) z! p6 T; y7 U2 |, X/ o( k0 _8 \' z; Y  F
turtles-own[+ F5 C8 k. i, G) s
trade-record-all/ ^& x4 J0 s. A% h9 x2 W
;;a list of lists,
trade-record-one组成6 `3 g- d; A3 s
trade-record-one# p. ]# o( f" S8 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
  z3 P) E4 s+ d+ _0 X
: T8 W7 R) Q( g* I" N;;[
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]]
/ ]- `+ @; F6 C6 f7 D4 g3 Otrade-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]- R& k. x, O7 X- ^
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: n+ b4 W, _9 \# V. {
neighbor-total" v8 A9 r6 U" X3 t& R- n! }
;;
记录该turtle的邻居节点的数目
9 R6 f' E) _& Z* l$ W" G) L- E- O9 g( Vtrade-time
1 {( p# }$ R( u, y8 _+ s;;
当前发生交易的turtle的交易时间8 z( E6 }+ ^+ T7 g
appraise-give+ _( _# ]! |4 V0 o. \2 x, \
;;
当前发生交易时给出的评价' W2 E4 E4 v! C$ X& P, U
appraise-receive/ w# o) m9 m% u7 j
;;
当前发生交易时收到的评价% W; \9 q) ^5 e" F5 a
appraise-time, B% c% i# P$ k+ ]- D
;;
当前发生交易时的评价时间
3 Q3 ^5 c. k5 B  V9 h! {local-reputation-now;;此次交易后相对于对方turtle的局部声誉
8 j9 @2 R9 L- }0 |+ }+ z7 ]trade-times-total; k% q) Q. w1 M% r2 B. [
;;
与当前turtle的交易总次数
4 M) i% r9 E' X" C: K4 xtrade-money-total/ z) ?2 O3 F6 _2 Y6 \
;;
与当前turtle的交易总金额
' }+ u9 s- y( n2 w" X7 d0 @% _local-reputation
4 S/ W% s) O1 iglobal-reputation0 `0 q$ C# m; `
credibility5 T3 z& `/ J, c( S. X
;;
评价可信度,每次交易后都需要更新
) [1 Q% j2 ?2 h4 b& }5 @credibility-all3 g1 }3 g4 e: \4 P: ]  k" {
;;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2 B3 G8 M; l& K5 d/ T
, X% M4 f9 g: V' D6 y$ c7 m" y
;;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* q4 S7 ~  ~# V: j4 b
credibility-one
3 s$ {! E! G/ u$ i' T. g) V9 X;;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: d6 b' K5 s; v' h
global-proportion, Y( D9 m) x2 f! A: c3 U
customer
" i( k/ h1 F8 T5 n% v6 h4 Tcustomer-no
- M+ q/ a$ w% ~' l1 J; L4 x8 qtrust-ok! }+ d! h2 u( m2 p+ g7 V; h6 ]
trade-record-one-len;;trade-record-one的长度
9 f7 @& r2 b) o/ x& _* O3 x( ?]
5 G( |/ q4 q. y5 ^! X
/ D  `: @$ n; q$ j6 e6 b. ?( B;;setup procedure0 M5 }" ?6 ^6 ^

; ?0 @6 T  h( X) Yto setup- h$ V( u  D$ C: B2 o; ~5 O

& Q+ m4 a: Q, l* L) p8 `& B& Lca

% T( Y" d# |$ X6 l, ~9 _9 w. F7 i* I: v  }
initialize-settings
: C4 S% ~& O" `0 `7 b3 ~( v# t& t* i
" H% I/ _% \  N" u4 R2 ~, D
crt people [setup-turtles]
. f$ t3 H6 C  y; a: j' L/ S

/ \$ F# p4 I1 w5 jreset-timer
" [* E% |3 n3 \; X. @
4 T9 o9 }+ s! l) M2 {3 M7 i
poll-class
+ p1 J& D; W% V5 n
  K3 H# M; E2 V" {" ]
setup-plots
9 N- R2 m' b0 }# n3 N" y
  F6 n5 H( m, X5 |  K
do-plots

& y  k& W( \( x# [' jend
: Z4 t9 m# s. j9 A6 U- L  f
3 Y' Q$ [9 m  R" w7 h' }to initialize-settings
6 V4 T9 }& J0 ^7 x/ G6 M
. T8 q) z) a8 C: }- Xset global-reputation-list []

' R$ K/ X$ q3 F" y( H% e# L. }, k+ _  h
set credibility-list n-values people [0.5]
6 A% ^$ p' `- C" d7 O

: K1 v$ c# o0 k& b0 r. x1 Eset honest-service 0
7 |; {( ^; W: {" b* k7 u

/ _9 p( ^# g1 D; M6 M, \3 zset unhonest-service 0

4 E; X9 G) |! z# ?! ^2 G+ V9 l% H- N( z: H" [; b
set oscillation 0
9 R9 z3 r* M7 C" ]8 a

+ k% p3 L! l% {8 O7 S. q4 R7 F  |set rand-dynamic 0
* N3 W# d8 c% L( y, D# y$ l. J0 r) u9 u6 _
end
( [  d! Q  o+ Z3 [* q; \* e: Q8 H! B4 U  B& `3 `; Y
to setup-turtles 7 B6 `4 X0 c5 J! C  Z
set shape "person"
; A2 b! z. l/ l, d$ v# r7 Z4 rsetxy random-xcor random-ycor3 |1 S6 t1 C' N0 y
set trade-record-one []6 T# h/ U: y& W5 f0 }' _
  i7 W! z0 J7 s; ^" {2 D
set trade-record-all n-values people [(list (? + 1) 0 0)] ' \9 J2 m' @: B( @

# B6 E* L  ?4 K- A# o& [set trade-record-current []: T3 Y# v/ I) G: M- a) |/ r
set credibility-receive []
  x3 e2 b3 b" iset local-reputation 0.5
8 h. I; b1 I9 b. S( K$ ^  Zset neighbor-total 0
- N- Z, F$ s5 A1 U1 x9 Eset trade-times-total 0
4 ^' A% e+ z/ Y$ v. yset trade-money-total 06 u: Y0 Q7 y. p. Q. @
set customer nobody7 @4 {; v! S' Z9 I3 C$ b
set credibility-all n-values people [creat-credibility]
6 i$ n1 e8 n9 O4 n6 O6 `set credibility n-values people [-1]
1 [2 J- r( V5 f, o8 m; G2 Y  Oget-color2 Z* c3 x6 K0 m4 x& R; k
4 c% b* \4 g! Z( y& _: `+ t8 B
end- K2 ]+ H' ~7 I' `$ I- e7 T' ^% _
: y3 c  t7 L% k3 r' r6 G% W' v. @
to-report creat-credibility
5 P/ u0 S1 E; G( U  k% M% c. @report n-values people [0.5]
  f) {/ d' p9 N- Y# Mend
4 `* h* w: Y6 B. V* ]0 O# o) B0 @1 O: n2 ^8 J" B& K6 T6 s, s6 S6 n
to setup-plots
2 R( B! D0 I0 _. n  v7 t
5 H! N2 }/ ]( N* cset xmax 30
  f2 E3 m3 o2 G! ~# m$ |

! S: H  U/ e8 b( P5 z2 S3 Gset ymax 1.0

2 p( y% `2 c6 q' \# l6 C3 C4 K  i3 c  Y3 g
clear-all-plots
- ^9 n3 ~6 S% Q. P+ n& v+ J; M" T

0 Y) {5 w( B/ z: d1 |8 fsetup-plot1
# Q' K) L: J/ {8 v3 Q

) W' h( I  F  Ysetup-plot2

: h; S1 z; s6 W4 F; I
( }. L$ l" L. T+ |7 N0 Esetup-plot3
0 Q& n4 v* V$ E+ P
end
5 S3 m8 w3 J1 I  o  n" N% m# @
( c! G% P) H$ C6 l;;run time procedures; e, o( K" j: ~( f" a) F

9 O6 l' @( R* p! ^* _/ j( t9 W; sto go
; y% N9 G9 I" e7 i% \$ V) ?+ @5 e0 v& {0 n; }$ d& @9 M( F
ask turtles [do-business]

3 l( a" q' z! b9 n% S7 oend
9 M" L/ `. L+ y' `6 G
! r- \; }, m4 nto do-business
, _+ }6 H1 R, K0 b  m
5 {7 \6 i% ^; m* O& ~
* t8 c, B4 `" m% Q7 L* D
rt random 360

* F, e, j1 R: Z4 ^: x3 Y7 q& j6 h; Y% X1 e: D: k. C
fd 1

2 f( J: l# C( S: S7 Z* D  ^2 }
8 b  T4 u+ g: l7 Eifelse(other turtles-here != nobody)[
. `( ^6 ?# [. `$ Q- n7 i/ T2 j& P
; M* Z# F5 x5 u3 w3 H6 i5 g
set customer one-of other turtles-here

) s+ @* V$ [  j
; _  e& v% O+ `) M! M" [' J;; set [customer] of customer myself

6 L8 [: t# k/ f( R3 v" i8 L0 k
' \* {% R2 b+ l! O% Rset [trade-record-one] of self item (([who] of customer) - 1)2 Z; i6 F( V  E9 P6 L
[trade-record-all]of self& R( E) P7 q- o0 K& q* O0 p
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
1 [" Y1 _3 D% N. t9 Z

5 Z) ?4 x$ H& U7 gset [trade-record-one] of customer item (([who] of self) - 1); j1 t3 Q+ a* o1 o) F; D5 U
[trade-record-all]of customer

# K' Y3 n( j2 k1 Y6 N4 Y/ a
' k  ?+ U2 R: Q, p/ o. N, ]set [trade-record-one-len] of self length [trade-record-one] of self
2 Z5 S( o: X* f: J& l! C
8 s; V1 p. w1 |: ^4 m
set trade-record-current( list (timer) (random money-upper-limit))

3 n9 A* K3 N0 _9 j
4 b" f2 d: J$ |" Vask self [do-trust]
% Q4 B' S& Y5 K6 d5 f;;
先求ij的信任度# J( @5 z) ~5 I$ _3 |$ C

' y% I5 s! B* k8 T: s' Zif ([trust-ok] of self)
: {: P/ l4 R6 B/ q7 W* \;;
根据ij的信任度来决定是否与j进行交易[1 J% k7 C# A  K
ask customer [do-trust] if ([trust-ok] of customer);;
这里可能会用到myself
1 O" E) Q) x8 L8 c) P
7 H( a3 v: j+ Z3 [5 @* f[

; s1 m* ?  l+ _2 E3 o" U9 I9 N9 Y# o+ n0 {3 B( H3 G6 D' f
do-trade

/ H+ L/ R( p3 V1 a- V. \
1 P' z' u5 {0 ]6 @: B- u- d3 gupdate-credibility-ijl

6 i& L. u, r: B' T0 J, k
* _0 V) S6 v( B( }update-credibility-list2 J! y- v$ ]9 {
) r  j4 F  H1 ]" O  @

" e& r9 c+ X$ Y- i. {7 e8 Iupdate-global-reputation-list
/ S' P& G2 a& _

3 ^9 X: l( |+ f' l7 n  X) jpoll-class

) q5 w, k$ O& T$ D- I5 S6 e
: o' m3 N7 L; sget-color
3 S! ^) U4 H1 k- ]* W8 P+ L

( q" y' O. j: Z0 y* i]]
" j1 a- A7 A8 d, X- k* E8 P: ?2 I8 l' j9 k6 x! O
;;
如果所得的信任度满足条件,则进行交易
( k4 t: O) U; A6 K; N2 V+ N* E2 c. k  ^* }3 O3 _2 L
[
; U2 P: b3 e3 m% |
; C4 r4 H' C, m- m- `/ H' [
rt random 360
% E( m1 c; h$ z* ^! T

+ \% X" [: E& T& M! afd 1

1 o' w: L% r8 P7 f6 M% B4 j8 k& G7 K& B
]
: t1 b3 g8 I! p7 {9 O! C0 f

/ _$ M4 O3 d. D, {8 m. A; W* ^end
. t' _1 g& z& w1 Q6 b0 `

- @$ h0 v; ^' b0 z& P) s. p* Qto do-trust   V0 w* H# X( p3 k, y
set trust-ok False3 w! p) o5 y9 Z# S
" s& C: d1 R. q, I7 s
5 W/ M( r- t( \- G# N" S8 N* g" K4 O* J
let max-trade-times 0
. B2 z- M9 ~  T( O2 @* @5 q. bforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
  a: R$ h# V7 N- W, Y7 Slet max-trade-money 07 J* V2 n6 u+ O4 N* z" a
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]% E3 a$ ^/ F7 o' ~
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))) S7 B. o- q$ t' f" M4 q
9 P! w# z* X( Z# t6 _' v" A' O

* M& `) R- \! X3 Q8 p" P8 x; gget-global-proportion( T, x( X4 o- N7 n- j; {
let trust-value
3 U5 b4 R/ w: }# r2 Olocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
5 r! ~$ s) o1 S1 Q9 M9 m
if(trust-value > trade-trust-value)
1 T# f; `' Z: \' f, j" R* s4 z[set trust-ok true]
- ?$ s) V2 c$ u& Y2 q$ F1 I1 u. o( pend+ C: h# O- V! t- j7 F
( K8 h2 }; j# ?  E
to get-global-proportion
4 Y  S' X4 h" ?ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
4 q7 L5 k3 T6 s# V" d$ ^[set global-proportion 0]
  H5 s' j6 ?5 C6 f3 L, U[let i 0
- y9 O1 C1 ?0 P* z+ ^let sum-money 0$ b& a7 D1 Q% o' j
while[ i < people]  M0 p$ ?# B+ T
[$ u. _% j7 o8 ?, J
if( length (item i
( M8 Q3 c5 A1 \/ `! e: m' M[trade-record-all] of customer) > 3 )
9 Q: F+ j2 \% z9 I& ]3 H6 J
[
* J% D) e4 Y9 s! H# J$ n3 Nset sum-money (sum-money + item 2(item i [trade-record-all] of myself))' r' `& w, K, [+ i
]
' \, Z/ H# R2 f2 ^2 Q% g* I  {]* e; _% U9 Z: |4 I8 N
let j 09 c+ w+ c9 E& w& s' o
let note 0! y# Q- u9 J3 @+ \% ^7 l
while[ j < people]
' q/ Q/ C. A" r4 i2 z[9 ^5 O- b& S" |. }9 a0 ^7 G
if( length (item i+ x( o% Y% n" [
[trade-record-all] of customer) > 3 )

  ^, L* p4 s  K# ^; a7 B, K% L[0 t2 ?# e3 i% H; C" q+ _
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
4 Y* y( d3 d# g1 \0 l: L+ h[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
2 Y# H9 Z$ W7 A* e+ e) n' Z[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
  K: k8 x, w% v8 y- r1 \$ j4 j( Q]& Y6 M* f9 _6 V. P4 ]8 @5 b
]' V( l. o& G: a  Y, e
set global-proportion note
( i, [" {: i5 }]# l  v+ `1 O$ p: A
end
# U! ^5 h! ]8 K) d: ?6 I- O, h+ m+ B9 ^6 v
to do-trade
4 J0 J# E) G. |3 @0 \; Z' b;;
这个过程实际上是给双方作出评价的过程
6 z8 p. g3 S; k/ A/ b' l$ s$ F. uset trade-record-current lput( random-float 1) trade-record-current ;;turtle 得到的评价
* G& @! S! B& P% \. \; Yset trade-record-current lput( random-float 1) trade-record-current ;;turtle 给出的评价7 Y5 N! c% g' h; G. u
set trade-record-current lput(timer) trade-record-current4 Y: x. f# q6 g& n$ c. C8 P
;;
评价时间
# E# J! S" R4 K; B" `. m% `ask myself [
( Z$ D' l+ X4 E8 o2 B/ K# S5 supdate-local-reputation
2 M+ J+ ?7 T; K9 {9 Sset trade-record-current lput([local-reputation] of myself) trade-record-current4 t2 f0 u% E! Z7 j. I4 s% s
]" v7 H7 z3 ]' x, D
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself6 \$ Q8 N0 j" \8 t* M
;;
将此次交易的记录加入到trade-record-one
# t8 G- S2 r2 d- ?9 Fset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)% a. ?* O% i' \* v& M3 L2 P
let note (item 2 trade-record-current )
; n6 D. u; D2 V# S4 E$ ?set trade-record-current
5 \4 k* P( {; A4 p(replace-item 2 trade-record-current (item 3 trade-record-current))
% K- N- t  O1 R( R4 {* L) w+ y
set trade-record-current
5 ~& O6 R% t5 O+ I  w1 e( G  H4 X(replace-item 3 trade-record-current note)# m+ z" n* H+ e' W
3 t& W9 o  B" K' t
( ?. n8 H  K6 ^! Z# {# o1 m- j
ask customer [
+ h+ I* }' d; z) ~update-local-reputation- v: g! S# ?$ y& ^3 a% H
set trade-record-current6 H3 T. @( n4 w* `2 t0 ~$ t4 s! r& ?$ }
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))

. O$ t( R5 X9 W$ W5 s]
3 w/ _+ P. ^' a% J9 |8 n! w. b
$ P( s; R5 }5 m+ m
) m- N& I; T/ `5 ]7 H
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
; L) Y. Z: E4 J5 H; y5 S

* X  v  K; w  j/ h. R! O" Kset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))6 Q; W: m2 u& |7 I6 I
;;
将此次交易的记录加入到customertrade-record-all& q) g5 F# J9 J8 \, X- u6 k# _0 o
end
2 T. `4 y. I! w% y2 }- @2 S/ `
5 i) g6 L5 \2 q- i! gto update-local-reputation
, `7 X' A8 T0 F5 }8 |; fset [trade-record-one-len] of myself length [trade-record-one] of myself) w' ^( K! d* a7 H8 i( k

+ V+ N1 w( ~2 R: n+ Z2 t( y/ s; f" k3 {: U; ^
;;if [trade-record-one-len] of myself > 3

- S0 Z' A% b# j1 A- tupdate-neighbor-total/ M, K( m& a+ I% I  b
;;
更新邻居节点的数目,在此进行
8 n/ Q/ ]3 E) alet i 3- s6 p. P+ L6 s
let sum-time 0
. x% h! [  V* U  s  Awhile[i < [trade-record-one-len] of myself]3 V. |0 m7 d5 h7 h: _' c
[& j4 @9 C* ^' K) P
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
% W+ ~5 `& l7 bset i. [$ F! C$ N7 K2 n3 z9 g) Q
( i + 1)

5 C2 F6 M: ]% k  M$ K# }]7 q/ U7 p2 N; r9 ?9 u$ C, i
let j 3
, d& N# R" C% r+ \5 y: K$ r- ?let sum-money 0. v# O1 v& M$ ~1 A6 n! f
while[j < [trade-record-one-len] of myself]9 n1 S) W, D9 @7 Y$ h6 a
[5 U2 F4 l0 [- V" {, i
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). ]: U7 O7 V1 T/ l9 a7 K$ X3 D3 {$ |
set j
  ^( A' M. E; t" \2 C$ @( j + 1)

' ]0 B2 G/ K; q% I( {  A" c]
0 B: l9 N, y6 Tlet k 3# x+ ~, J6 j& c. G
let power 02 D7 b- V( x: n* P3 J
let local 0
% a$ a$ H. d4 [0 Z& ]3 Xwhile [k <[trade-record-one-len] of myself]
1 a! ~  r& h$ z2 Z% ^) [[
# G1 [0 d0 [0 G* ?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 T% t; u/ V' `9 N
set k (k + 1)4 R$ o, |, R- N& Z1 F3 t$ n
], B) ]% n* a8 R
set [local-reputation] of myself (local)  Q& J6 f( k2 P/ o
end
6 I" V: N. [, f/ e* O1 D
5 m. k! N- @  Zto update-neighbor-total, O. }( p2 s. V  c

' K* M% d# p! _4 ~1 |0 d: C5 Mif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
% K, h9 L: e5 g: o, `" I: `3 K
/ A2 F1 c- ?: T& m3 U, K( d) N
, F& s$ H5 j  Q/ e/ B, H! h! I" ?
end
7 W) u; B& j6 W# ~1 z
4 ?6 I6 K, k5 Q9 x- Oto update-credibility-ijl
4 l- ^5 @) Y5 A  ?. w; t- R" Q, h- z) ^9 |- L3 S3 q
;;
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/ |! Q/ J* ?/ M; |/ j0 [let l 0
7 F0 P- k3 A" Pwhile[ l < people ]9 m; Q; [0 P% w9 M4 i& u3 B
;;
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
) {1 P6 k' U1 c" I/ A) l3 Z[, N; R' P8 t, E% S
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
9 F* {4 E' D& |; w- U! `& Vif (trade-record-one-j-l-len > 3)6 S. i# K% N" W
[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. `6 I+ w$ b6 {* ?# Z
let i 3
& u: B/ T$ q; ulet sum-time 0
$ n/ m; _7 B! Y- P2 h" |3 Ewhile[i < trade-record-one-len]
' I( S/ A( a8 i8 m9 p/ e4 c[) L7 B' v! f# v# D! S& [  b
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
, U, r) S/ ^$ X: o1 T. V; Yset i
2 G$ n: b) A$ F+ e6 y1 @( i + 1)
$ W6 o0 I; h  s. s/ M9 M
]
: B9 h" j4 n# f1 d; u0 [let credibility-i-j-l 0
* p% C+ l4 j) F$ |7 ]$ R6 p;;i
评价(jjl的评价)
8 T) u- h; E+ d; I: S8 P1 hlet j 3
  g( r: t; H1 _( S# r# ?let k 42 N5 N! l9 ]4 a9 X& u
while[j < trade-record-one-len]. C5 {5 [( r% N, X
[
* Q! D- e8 y# O: Y: x4 jwhile [((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
) s& g" i5 b% [. ]' Bset 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)" U7 K# F6 p* G" H, Z
set j  E, f+ Q+ U. d1 P9 k; }1 v4 I% v1 G
( j + 1)
0 Y$ A/ x# B0 N1 E# O1 e6 K8 A
]; A" R. Z: @% Q, ]
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 ))
2 f' L% n; B! J
* K) f# a* X, H4 c1 L& h
2 a* o- l( o1 e. r
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
3 F. f* g; \5 p;;
及时更新il的评价质量的评价
* Q8 {/ l$ J6 Z8 @; \6 F, C" uset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ], F3 @9 w5 w) }2 ~2 c! Z7 Y
set l (l + 1)
4 x8 l5 K1 }5 N! H- _' G]
1 t! [, [/ b4 D1 K1 a4 F* Bend
$ ^. C/ M2 u) G% c' [9 a0 \
; X8 ~, H- _! F1 H3 K. h7 Xto update-credibility-list
: k6 W1 u" C/ z( E$ e# qlet i 0  {( U6 F& \  D9 R2 I
while[i < people]
. g8 V  K) m% K[
2 K3 `$ Z4 }. y- _! |4 h5 x! mlet j 0/ ]1 _+ C6 a1 `" w3 F9 B( _
let note 0
: C9 g( b( Q" C2 Mlet k 05 B, B9 c& |; W( H& `6 s
;;
计作出过评价的邻居节点的数目  L0 G; K% k+ k5 U! l; U$ w
while[j < people]
2 S" |* ~4 h( ?% x: ~7 ^[% L/ u. [2 S3 E! G9 U# f
if (item j( [credibility] of turtle (i + 1)) != -1)
, c" Z: ~. M8 B& E$ G* x;;
判断是否给本turtle的评价质量做出过评价的节点; y( D* a4 G. w& a' t* j8 a
[set note (note + item j ([credibility]of turtle (i + 1)))
8 e) a4 E# X* C% v" M;;*(exp (-(people - 2)))/(people - 2))]
+ r; J5 M+ [2 n- ]5 K
set k (k + 1)
& b9 k& c9 [8 X3 `9 i1 d]
5 S9 e# _' O6 Oset j (j + 1)
$ M. n- Z7 R1 X" U]
& X9 @/ L' j8 X8 Y! Y$ f* Dset note (note *(exp (- (1 / k)))/ k)
' L+ c" G; g# q; \2 {, T, \set credibility-list (replace-item i credibility-list note)$ L+ b4 ]+ D$ w. I
set i (i + 1)
$ i5 H$ q0 L: Q) B. Z1 n]
! {+ `; w1 R1 ^- F% Z, x% hend
) S8 H( ]& Q4 k* {) l! m( o  W6 v! [" q( T7 c
to update-global-reputation-list
. T" N  l8 z, Qlet j 0
8 s, H8 X, A' W! T3 I& T7 W% z) Mwhile[j < people]) h% ]7 O7 C; D, ~; u
[
4 V' d9 ]/ }7 b' w9 zlet new 05 _( Y% D3 A8 M& l& |
;;
暂存新的一个全局声誉9 t# Z+ V& i" Y( J7 e/ Y9 Q
let i 0
! f/ x" _! I5 A0 Y; m- j7 P6 dlet sum-money 0. _% }0 _% S: Q- v  }
let credibility-money 0
7 }9 K' R7 w# P1 fwhile [i < people]
  _% M+ V4 z/ g  m[
# g' ]! P2 {% y5 ~; u/ K0 |# W; t8 Uset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
* A  d5 l% ?2 z/ H- e4 ~3 yset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
4 j6 R5 E9 n: N. V! j7 Y  Uset i (i + 1)4 w! ^: u: Y  ~) g! e. ]' K+ m  p
]
' V4 e9 g, a, C+ blet k 06 C7 R7 B- C/ ^# g7 G
let new1 0  W+ F4 [; X4 O; Q! J- w
while [k < people]" E" W, u( C7 ^2 Z# y! \
[! d' l  [- ?0 Z) v3 l- v- w
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)
! s( T5 t4 K7 R9 kset k (k + 1)
/ I" _! U& Y1 t! t9 ?& t' J: \]
# e7 j$ a9 F3 f  O5 q9 q3 I' J* V1 Qset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
( U8 q( t* x' v& H2 u) eset global-reputation-list (replace-item j global-reputation-list new)
8 D) W  O; E; j( `3 mset j (j + 1)
; n; k3 P/ ]# }& j: K1 f9 d]2 A7 ?, F: j1 C4 T/ s' ^( [) |
end' I/ }4 z. z- f9 X" S2 s! N: p( Q

: O! e% f8 Z# h  E
% }4 Y5 A& Z5 |9 S0 R# u$ P3 w0 L9 F
/ [- G1 @/ C8 R4 U! x5 U; h7 gto get-color$ Z' y" ?8 p3 e6 s. V# \' r

1 M8 T6 O7 c/ Xset color blue
+ P6 v# Z! L& y- o( h8 D7 k
end
: P5 p) y9 @0 J6 w6 U
$ E) p8 c9 E3 Gto poll-class* B' n/ n! R0 v; e+ S+ S: R
end
/ @2 h; g$ i0 T4 H- ?7 r
8 ^% N  Z# Q2 ~9 z. u1 T- n4 g9 }to setup-plot15 G9 F+ J, {# Z  Y

; }" g3 J: E# L9 l: U# p* aset-current-plot "Trends-of-Local-reputation"
2 n) W/ P  V! P# T  n  c' Z5 `# v

( L, J: J* u3 @9 _" _4 Uset-plot-x-range 0 xmax
6 [! p7 C$ z4 j, \. d

5 M5 l/ R* w. A6 l$ A  a( ~( Y6 Vset-plot-y-range 0.0 ymax

6 K( s% i" B* H9 fend! p2 P7 e) i4 b; o' [5 u% Y

$ B3 [7 E' _: Y- y( X! d6 t+ j* M5 vto setup-plot2* q+ h. e) {+ @- x3 N1 e

1 c0 {. R8 d. R+ [1 W5 y+ u( q1 Qset-current-plot "Trends-of-global-reputation"

, B% X: y' Q$ G# e+ ~
! |( W$ C% R) J! ?: eset-plot-x-range 0 xmax

$ j" E# t9 H7 f* H/ j) p$ I4 v" q& }' S  Y$ E, R
set-plot-y-range 0.0 ymax

1 h  t; W% k2 S- \; W- t  O3 }end" Y3 _- W  V# O; Z: D6 A; V0 j9 j
8 d( Q6 y6 I! P: J" c
to setup-plot3( x0 m& L4 V6 |# \- ^3 u/ d  Z

  O' [& Z/ a( ]/ T* [8 Dset-current-plot "Trends-of-credibility"

+ ?2 k# D; F5 R6 @! l
4 H0 ~9 p" S+ t) l1 K* D" d9 dset-plot-x-range 0 xmax
, l$ e0 o: E  X/ {

% m7 B0 A8 U' K/ @: Q0 W' a5 F- Jset-plot-y-range 0.0 ymax

: `4 |( X. F' }8 J: Z( T) C3 x4 |3 \( Z7 Mend
+ w. K  h0 f" z4 T5 H9 c; a5 }& c9 J+ `; K1 }& V# g" @
to do-plots* F1 ^8 X) }8 g( O/ m& k
set-current-plot "Trends-of-Local-reputation"! N6 M) O! b3 A; z. E
set-current-plot-pen "Honest service"
9 R6 U' n( A- T" f( uend5 v- n8 c( x5 y# m0 v( i) j- A) v% C. Q

' E  U# z9 N9 ?, |6 o; m* k[ 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.
# N' x2 r4 m; S! v5 y/ O2 g4 T; U$ d) p) C$ n
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, 2026-8-20 04:59 , Processed in 0.025191 second(s), 18 queries .

Powered by Discuz! X3.4 Licensed

© 2001-2017 Comsenz Inc.

快速回复 返回顶部 返回列表