Abstract
The communication techniques used amongst agents in a system is critical to the effectiveness and success of collaboration based actions. Agents which fail to store or communicate information in an effective uniform manner will not be able to accomplish their goals. The aim of the paper is to determine the particular difficulties relating to agent information representation and reconstruction. In addition the paper will discuss whether or not it is profitable for agents to be equipped with the ability to modify their communication style.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Russell, S., Norvig, P.: Artificial Intelligence: A Modern Approach. Alan R. Apt, Pearson Education, Inc., London (2003)
Kant, J., Thiriot, S.: Modeling one human decision maker with a multi-agent system: the CODAGE approach. In: AAMAS 2006: Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems, Hakodate, Japan, pp. 50–57. ACM Press, New York (2006)
Wilkinson, B., Allen, M.: Parallel Programming: Techniques and Applications Using Networked Workstations and Parallel Computers. K. Hargett. Pearson Prentice Hall, Upper Saddle River (2005)
Gamatié, A., Gautier, T., Le Guernic, P., Talpin, J.P.: Polychronous design of embedded real-time applications. In: ACM Trans. Softw. Eng. Methodol., vol. 16(2), p. 9. ACM Press, New York (2007), http://0-doi.acm.org.raulib.rau.ac.za:80/10.1145/1217295.1217298
Ullman, J.D.: Elements of ML Programming. In: Horton, M. (ed.). Prentice Hall, Upper Saddle River (1998)
Singh, M.P.: Agent Communication Languages: Rethinking the Principles. In: Computer, vol. 31(12), pp. 40–47. IEEE Computer Society Press, Los Alamitos (1998), http://dx.doi.org/10.1109/2.735849
Mundici, D.: Robinson’s Consistency Theorem in Soft Model Theory. In: Transactions of the American Mathematical Society, vol. 263(1), pp. 231–241 (1981) (2007/3/12), http://links.jstor.org/sici?sici=0002-9947%28198101%29263%3A1%3C231%3ARCTISM%3E2.0.CO%3B2-O
Huhns, M.N., Rose, J.R., Roy, S.S., Turkett Jr., W.H.: An Agent Architecture for Long-Term Robustness. In: Proceedings of the First International Joint Conference on Autonomous Agents and Multiagent Systems: part 3, vol. 3, pp. 1149–1156. ACM Press, New York (2002)
van Diggelen, J., Beun, R., Dignum, F., van Eijk, R.M., Meyer, J.: ANEMONE: an effective minimal ontology negotiation environment. In: AAMAS 2006: Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems, Hakodate, Japan, pp. 899–906. ACM Press, New York (2006)
Thrun, S.: Monte Carlo POMDPs. In: Solla, S.A., Leen, T.K., Müller, K.R. (eds.) Advances in Neural Information Processing Systems 12, pp. 1064–1070. MIT Press, Cambridge (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Balsdon, Q.J., Ehlers, E.M. (2009). MAGEFRAME: A Modular Agent Framework to Support Various Communication Schemas Based on a Self-embedding Algorithm. In: Ghose, A., Governatori, G., Sadananda, R. (eds) Agent Computing and Multi-Agent Systems. PRIMA 2007. Lecture Notes in Computer Science(), vol 5044. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01639-4_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-01639-4_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01638-7
Online ISBN: 978-3-642-01639-4
eBook Packages: Computer ScienceComputer Science (R0)