Full Text:   <2690>

CLC number: TP18

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 0000-00-00

Cited: 1

Clicked: 5263

Citations:  Bibtex RefMan EndNote GB/T7714

-   Go to

Article info.
Open peer comments

Journal of Zhejiang University SCIENCE A 2001 Vol.2 No.2 P.132-136

http://doi.org/10.1631/jzus.2001.0132


ANALYSIS OF THE KQML MODEL IN MULTI-AGENT INTERACTION


Author(s):  LIU Hai-long, WU Tie-jun

Affiliation(s):  National Laboratory for Industrial Process Control Technology, Institute of Intelligent Systems and Decision Making, Zhejiang University, Hangzhou 310027, China

Corresponding email(s): 

Key Words:  multi-agent, KQML, communication


Share this article to: More

LIU Hai-long, WU Tie-jun. ANALYSIS OF THE KQML MODEL IN MULTI-AGENT INTERACTION[J]. Journal of Zhejiang University Science A, 2001, 2(2): 132-136.

@article{title="ANALYSIS OF THE KQML MODEL IN MULTI-AGENT INTERACTION",
author="LIU Hai-long, WU Tie-jun",
journal="Journal of Zhejiang University Science A",
volume="2",
number="2",
pages="132-136",
year="2001",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2001.0132"
}

%0 Journal Article
%T ANALYSIS OF THE KQML MODEL IN MULTI-AGENT INTERACTION
%A LIU Hai-long
%A WU Tie-jun
%J Journal of Zhejiang University SCIENCE A
%V 2
%N 2
%P 132-136
%@ 1869-1951
%D 2001
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2001.0132

TY - JOUR
T1 - ANALYSIS OF THE KQML MODEL IN MULTI-AGENT INTERACTION
A1 - LIU Hai-long
A1 - WU Tie-jun
J0 - Journal of Zhejiang University Science A
VL - 2
IS - 2
SP - 132
EP - 136
%@ 1869-1951
Y1 - 2001
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2001.0132


Abstract: 
Our analysis of the KQML(Knowledge Query and Manipulation Language) model yielded some conclusions on the knowledge level of communication in agent-oriented program. First, the agent state and transition model were given for analyzing the necessary conditions for interaction with the synchronal and asynchronous KQML model respectively. Second, we analyzed the deadlock and starvation problems in the KQML communication, and gave the solution. At last, the advantages and disadvantages of the synchronal and asynchronous KQML model were listed respectively, and the choosing principle was given.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1] Angela Dalmonte, Mauro Gaspari, 1995. Modelling interaction in agent system, technical report UBLCS-95-7, laboratory for computer science, University of Bologna.

[2] Mauro Gapari, Enrico Motta, 1994. Symbol-level Pequirment for agent-level rrogramming, technical report UBLCS-94-2, Laboratory for Computer Science, University of Bologna.

[3] Michael, R.Genesereth, Steven, P.Ketchpel, 1994. Software Agents. Communication of ACM, 37: 48-54.

[4] Newell, A. 1982. The knowledge level. Artificial Intelligence,18: 87-127.

[5] Shoham, Y., 1993. Agent-oriented programming. Artificial Intelligence, 60: 51-92.

[6] Stefan, K., 1994. STRICT: A blackboard based tool supporting the design of distributed PPC application. Expert Systems With Applications, 7(1): 10-20.

[7] Thomas, R.Gruber, 1992. A translation approach to portable ontology specifications. Computer Science Department, Stanford University Tech Report KSL 92-71.

Open peer comments: Debate/Discuss/Question/Opinion

<1>

Please provide your name, email address and a comment





Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - 2024 Journal of Zhejiang University-SCIENCE