This paper addresses the problem of planning with preferences using Multiple Criteria Decision Analysis (mcda) mechanisms. We start by explaining how pddl3 preferences can be modelled by criteria from the Multi-Attribute Utility Theory (maut) along with a Choquet integral. Interestingly, preferences formalized using maut have almost the same expressiveness as the ones formalized in pddl3 while being much easier to model. Next, we present a new heuristic for planning with preferences which is based on the Choquet integral. Finally, we introduce ChoPlan a proof-of-concept planner solving maut-encoded planning problems using the aforementioned heuristic. ChoPlan's performances are evaluated with respect to state of the art planners using problems from the fifth International Planning Competition.
This paper presents a metamodel formalizing collaboration of heterogeneous entities (organizations, agencies, companies, intelligent agents…). Initially developed to support crisis management, this metamodel has been extended to any objective driven work of collaborative networks (CN). This formalism embeds all concepts (and inter-relations between them) required to represent any collaborative situation aiming at meeting some CN's objectives using sets of capabilities provided by each involved stakeholder. This metamodel is the keystone of a model driven decision support system (under development) designing collaborative processes that can optimize the coordination of collaborative stakeholders. The metamodel expressiveness is briefly illustrated through a use-case.
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