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Lopes, A. L. & Botelho, L. M. (2010). Coordination in open and unstructured intelligent agent societies: Using distributed planners on top of a semantic overlay network. In Filipe, J., Fred, A. L. N., and Sharp, B. (Ed.), ICAART 2010 - Proceedings of the International Conference on Agents and Artificial Intelligence. (pp. 347-350). Valencia, Spain: INSTICC Press.

A. L. Lopes and L. M. Botelho,  "Coordination in open and unstructured intelligent agent societies: Using distributed planners on top of a semantic overlay network", in ICAART 2010 - Proc. of the Int. Conf. on Agents and Artificial Intelligence, Filipe, J., Fred, A. L. N., and Sharp, B., Ed., Valencia, Spain, INSTICC Press, 2010, vol. 2, pp. 347-350

@inproceedings{lopes2010_1734880229652,
	author = "Lopes, A. L. and Botelho, L. M.",
	title = "Coordination in open and unstructured intelligent agent societies: Using distributed planners on top of a semantic overlay network",
	booktitle = "ICAART 2010 - Proceedings of the International Conference on Agents and Artificial Intelligence",
	year = "2010",
	editor = "Filipe, J., Fred, A. L. N., and Sharp, B.",
	volume = "2",
	number = "",
	series = "",
	pages = "347-350",
	publisher = "INSTICC Press",
	address = "Valencia, Spain",
	organization = "INSTICC",
	url = "https://dblp.org/db/conf/icaart/icaart2010-2.html"
}

TY  - CPAPER
TI  - Coordination in open and unstructured intelligent agent societies: Using distributed planners on top of a semantic overlay network
T2  - ICAART 2010 - Proceedings of the International Conference on Agents and Artificial Intelligence
VL  - 2
AU  - Lopes, A. L.
AU  - Botelho, L. M.
PY  - 2010
SP  - 347-350
CY  - Valencia, Spain
UR  - https://dblp.org/db/conf/icaart/icaart2010-2.html
AB  - Collaborative environments, where multiple heterogeneous agents (managing several resources) can cooperate in pursuing common and individual goals, are a step forward in creating real-world agent societies. However, current research in agent negotiation and in service coordination is still not enough for building such an agent-based society, capable of jointly solving complex planning problems and still achieve overall good performance. Most often, current work relies on either some centralised component or pre-defined social structure, which can compromise the system in terms of scalability, openness and robustness, and fails to address general problems. By using efficient network search algorithms and network evolution techniques it is possible to build and maintain a semantic overlay network from a totally unstructured distributed network, which in turn will simplify and optimize the distributed planning process amongst heterogeneous agents. We developed distributed versions of well-known planners that operate on top of the referred semantic overlay network and through a set of tests (using different scenarios) we were able to determine which is the best algorithm.
ER  -