Access the full text.
Sign up today, get DeepDyve free for 14 days.
(2003)
Artificial Intelligence: A Modern Approach, 2nd edn
J. O'Rourke (1998)
Computational geometry in C (2nd ed.)
A. Rahmani, Alireza Saberi, M. Mohammadi, Amin Nikanjam, Ehsan Adeli-Mosabbeb, M. Abdoos (2009)
SHABaN Multi-agent Team To Herd Cows
S Russell, P Norvig (2003)
Artificial Intelligence: A Modern Approach
F. Bellifemine, A. Poggi, G. Rimassa (2007)
Developing Multi-agent Systems with JADE
B. Castro (2009)
Pattern-Oriented Software Architecture: A System of Patterns, 1
(2002)
A Modular Architecture For Service Based Interactions Between Agents
Gerhard Weiss (1999)
Multiagent systems: a modern approach to distributed artificial intelligence
Robby, Matthew Dwyer, J. Hatcliff (2003)
Bogor: an extensible and highly-modular software model checking framework
L. Sheremetov, Matías Mentado (2009)
Weiss, Gerhard. Multiagent Systems a Modern Approach to Distributed Artificial Intelligence, 3
B. Castro (1997)
Buschmann, Frank; Meunier, Regine; Rohnert, Hans; Sommerlad, Peter; Stal, Michael. Pattern-oriented software architecture: a system of patterns, John Wiley & Sons Ltd, 1996, 1
J O’Rourke (1998)
Computational Geometry in C
N. Medvidović, R. Taylor (2009)
Software architecture: foundations, theory, and practice2010 ACM/IEEE 32nd International Conference on Software Engineering, 2
L. Baresi, R. Heckel, S. Thöne, Dániel Varró (2006)
Style-based modeling and refinement of service-oriented architecturesSoftware & Systems Modeling, 5
J. O'Rourke (1998)
Computational Geometry in C: Arrangements
G Weiss (1999)
Multiagent Systems, A Modern Approach to Distributed Modern Approach to Artificial Intelligence
This paper describes the team Galoan (it is a local Persian name that means shepherd), one of the participants in the Multi-Agent Programming Contest 2010. We present the agents’ architecture as well as the team strategies and the coordination and cooperation approaches. Our system was developed using the blackboard style and was implemented in Java. In our approach each agent stores its perception in a shared world model which is called blackboard. Coordination has been implemented through a supervisor. The supervisor uses the stored information in the blackboard and coordinates the agents to achieve a goal. Finally, we outline our observations and discuss the performance of our team.
Annals of Mathematics and Artificial Intelligence – Springer Journals
Published: Mar 16, 2011
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.