dc.contributor.author |
Gunathilaka, PM |
|
dc.contributor.author |
Karunananda, AS |
|
dc.date.accessioned |
2014-06-25T16:21:30Z |
|
dc.date.available |
2014-06-25T16:21:30Z |
|
dc.date.issued |
2014-06-25 |
|
dc.identifier.uri |
http://dl.lib.mrt.ac.lk/handle/123/10093 |
|
dc.description.abstract |
Conflicts are inevitable when autonomous agents operating in Single Multi Agent System to achieve their own goals. Therefore various conflict resolution techniques were presented in the literature. Argumentation Based Negotiation (ABN) has been considered as one of the best approach so far. Evading and re- planning are also two different cost effective options which should be considered as the first option in resolving conflicts. On the other hand, nature can be considered as a one big natural multi agent environment, where all elementary agents interact with no visible conflicts. Cosmological studies and theories have been used to explain most of the natural phenomena that we scientifically experienced. How brane particles interacts each other in a universal extra dimension (bulk) and share the same governing rules such as gravity is the main inspiration for our research. We postulate that the conflicts can be avoided or resolved with minimal computational time and resources by introducing bulk agents which represent extra dimensions of a multi agent system. |
en_US |
dc.language.iso |
en |
en_US |
dc.source.uri |
http://dl.lib.mrt.ac.lk/handle/123/8856/submit/6679592b6f32422c7a1155215461463156206f3e.continue |
en_US |
dc.title |
Exploiting bulk agent approach for conflict resolution in multi agent systems |
en_US |
dc.type |
Conference-Abstract |
en_US |
dc.identifier.faculty |
IT |
en_US |
dc.identifier.department |
Department of Computational Mathematics |
en_US |
dc.identifier.year |
2013 |
en_US |
dc.identifier.conference |
7th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2013 |
en_US |
dc.identifier.place |
Kuala Lumpur, Malaysia |
en_US |
dc.identifier.pgnos |
pp. 31-37 |
en_US |
dc.identifier.email |
asokakaru@uom.lk |
en_US |