Title: MECIMPLAN: an agent-based methodology for planning

Authors: Jose Miguel Castillo, Sascha Ossowski, Luis Pastor

Addresses: European Virtual Engineering, Tech Center, C/ Ayala, 97 – Bj D 28006 Madrid, Spain; E.T.S.I. Informatica, URJC, C/ Tulipan s/n. 28933 Mostoles, Madrid, Spain. ' European Virtual Engineering, Tech Center, C/ Ayala, 97 – Bj D 28006 Madrid, Spain; E.T.S.I. Informatica, URJC, C/ Tulipan s/n. 28933 Mostoles, Madrid, Spain. ' European Virtual Engineering, Tech Center, C/ Ayala, 97 – Bj D 28006 Madrid, Spain; E.T.S.I. Informatica, URJC, C/ Tulipan s/n. 28933 Mostoles, Madrid, Spain

Abstract: Planning is a human process that we constantly use in our daily life. However, when the planning process exceeds from our mental capacity the use of computers can be a good solution to complement our natural planning capacity. The availability of planning functionalities is essential for information and database systems to show intelligent and adaptive behaviour. In order to build such a functionality in a principled manner, a methodology is required that is flexible enough to be tailored to the specific needs of an information system for a particular application. In this article, we will introduce a methodology that draws upon agent technology so as to incrementally construct models for information systems with planning capabilities. In this methodology, each agent is responsible for carrying out a specific task within the planning process, such as classifying, qualifying, assigning or optimising an intelligent search. The use of agents, as software entities in charge of developing specific reasoning processes, facilitates the dynamic generation and refinement of solutions with desired functionality. We have developed two software prototypes that prove the adequacy of our approach in different real-world domains.

Keywords: short-term planning; long-term planning; strategic planning; tactical planning; projects; agents; multi-agent systems; MAS; agent-based systems; methodology; artificial intelligence; information systems; database systems; intelligent behaviour; adaptive behaviour.

DOI: 10.1504/IJIIDS.2009.025159

International Journal of Intelligent Information and Database Systems, 2009 Vol.3 No.2, pp.125 - 145

Published online: 14 May 2009 *

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