Objective
Verification is an important technique to ensure quality of a system and detect scenarios in which requirements can be violated. For complex systems with multiple interacting components, one of the crucial requirements is a component's ability to achieve a given goal. However, verification of strategic abilities is computationally hard, and the existing model checking algorithms cope with it only partially. This applies especially to systems where components have limited knowledge of the global state of the world.
In this project, we propose to advance verification of strategic interaction by focusing more on models, and less on algorithms. Our research hypothesis is that model checking algorithms are approaching the limits of their potential when applied to arbitrary abstract models. On the other hand, certain representations can be more succinct or provide better structural properties. For instance, Reaction Systems encourage the modeler to abstract away from features of individual components. Likewise, Modular Interpreted Systems support additional structural information about separation of interacting components.
In order to systematically explore different representations, we identify 3 basic modeling levels for interaction and knowledge. The Agent Level focuses on actions, mental states, and social features of components. The Effectivity Level provides a uniform mathematical representation in terms of abstract effectivity. The population level focuses on interaction between large groups of similar components, and abstracts away from sporadic behaviors. We will begin by establishing mappings between models (and classes of models) from different levels. Based on these mappings, we will identify suitable model equivalences and abstractions that produce more succinct and/or structurally well-behaved models. Finally, we will investigate application of symbolic model checking algorithms to the resulting representations.
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-2013-IEF
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
01-248 WARSZAWA
Poland
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.