Research Article
Using Intelligent Agents for Building Evacuation: A UML Approach
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 50 - Issue 18 |
| Published: July 2012 |
| Authors: Gurpreet Singh, Menakshi Sharma, Amitpal Singh |
10.5120/7870-1147
|
Gurpreet Singh, Menakshi Sharma, Amitpal Singh . Using Intelligent Agents for Building Evacuation: A UML Approach. International Journal of Computer Applications. 50, 18 (July 2012), 13-17. DOI=10.5120/7870-1147
@article{ 10.5120/7870-1147,
author = { Gurpreet Singh,Menakshi Sharma,Amitpal Singh },
title = { Using Intelligent Agents for Building Evacuation: A UML Approach },
journal = { International Journal of Computer Applications },
year = { 2012 },
volume = { 50 },
number = { 18 },
pages = { 13-17 },
doi = { 10.5120/7870-1147 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A Gurpreet Singh
%A Menakshi Sharma
%A Amitpal Singh
%T Using Intelligent Agents for Building Evacuation: A UML Approach%T
%J International Journal of Computer Applications
%V 50
%N 18
%P 13-17
%R 10.5120/7870-1147
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Over the last decade applications of agent based system has increased rapidly because agents have number of abilities such as act, sense and reason according to situation. Intelligent agent perceives its environment and takes actions to maximize its chances of success. In this paper UML (unified modeling language) has been used to design a building evacuation system in which agents has been used as experiment in real cannot be performed. It also shows how UML can be exploited to design multi agent system at agent level. It provides different agent oriented diagrams to model architecture of multi agent system and coordination between agents. Agents have been modeled in different situations and the way they think and how they use the available resources for their exit.
References
- Stuart Russell and Peter Norvig. Artificial Intelligence Prentice-Hall, Inc. 1995.
- James Odell. Introduction to agents 2000.
- Wooldridge M. J. , Jennings N. , Intelligent Agents: Theory and Practice, Knowledge Engineering Review, 1995, 10, 115-152.
- N. R . Jennings and M. Wooldridge Applications of Intelligent Agents, 1995.
- Brad Clement. Multiagent planning, Artificial Intelligence Group Jet Propulsion Laboratory California Institute of Technology" http://ai. jpl. nasa. gov/.
- Gerhard Weiss. Multi agent Systems. Massachusetts Institute of Technology London, England The MIT Press Cambridge, Massachusetts1999.
- www. tutorialspoint. com/index. html.
- Dan brown, Dunstan Thomas. A beginners guide to UML Part 1.
- Dan brown, Dunstan Thomas . A beginners guide to UML part 2.
- www. aUML. org
- F. Bergenti, A. Poggi. Exploiting UML in the design of Multi-Agent systems Proceeding of the ECOOP Workshop on Engineering Societies in the Agents World 2000 (ESAW 00), pp. 96-103, 2000
- Katia Sycara. MultiAgent Systems. AI Magazine 19(2): Summer 1998, 79-92
- Eduardo Alonso. AI and Agents State of the art . AI Magazine 23(3): Fall 2002,
- Eliezer Yudkowsky Artificial Intelligence as a Positive and Negative Factor in Global Risk Singularity Institute for Artificial Intelligence Palo Alto, CA. Draft of August 31, 2006
- Krishna Kavi, David C Kung, Hitesh Bhambhani, Extending UML for modeling and design of multi agent system.
- Juan De Lara Modeling agents with UML : an example to building security evaluation.
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