Engineering Pluripotent Information Systems

Download: RCIS08.

Authors: Ivan J. Jureta, Stephane Faulkner, Jean Vanderdonckt.

Publication: Proceedings of the Second IEEE International Conference on Research Challenges in Information Science, RCIS 2008, Marrakech, Morocco.

Abstract. A pluripotent information system is an open and distributed information system that (i) automatically adapts at runtime to changing operating conditions, and (ii) satisfies both the requirements anticipated at development time, and those unanticipated before but relevant at runtime. Engineering pluripotency into an information system therefore responds to two recurring critical issues: (i) the need for adaptability given the uncertainty in a system’s operating environment, and (ii) the difficulty to fully anticipate and account for all possible stakeholders’ requirements at development time and respond to the change of requirements at runtime. We draw on our group’s research efforts over the last two years to show and discuss how pluripotency can be engineered into information systems.

Dynamic task allocation within an open service-oriented MAS architecture

Download: AAMAS07. Citation (bibtex). Publisher’s version.

Authors: Ivan J. Jureta, Stephane Faulkner, Youssef Achbany, Marco Saerens.

Publication: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), Honolulu, Hawai’i.

Abstract. A MAS architecture consisting of service centers is proposed. Within each service center, a mediator coordinates service delivery by allocating individual tasks to corresponding task specialist agents depending on their prior perfomance while anticipating performance of newly entering agents. By basing mediator behavior on a novel multicriteria-driven (including quality of service, deadline, reputation, cost, and user preferences) reinforcement learning algorithm, integrating the exploitation of acquired knowledge with optimal, undirected, continual exploration, adaptability to changes in agent availability and performance is ensured. The reported experiments indicate the algorithm behaves as expected and outperforms two standard approaches.

An Agent-Oriented Framework for Enterprise Modelling

Authors: Ivan J. Jureta, Manuel Kolp, Stephane Faulkner.

Publication: (Chapter in) P. Rittgen (Ed.), Handbook of Ontologies for Business Interaction, IGI Publishing, 2007.

Abstract. This chapter introduces an agent-oriented enterprise model for conducting enterprise modeling during the early stages of information system requirements engineering. The enterprise model integrates a set of concepts and relationships that the analyst instantiates when building a model of the part of the organization in which the future information system will operate. The aim is to allow the analyst to produce an enterprise model which captures knowledge about an organization and its business processes, and which can be used to build an agent-oriented requirements specification of the future system and of its organizational environment. Compared to similar models, the present one integrates concepts and relationships allowing the analyst to capture the relevant intrinsic characteristics, such as autonomy and intentionality of human and software agents that are to participate in the future system.

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