Objective
Existing technologies usually represent norms as formal rules involving deontic operators. Such a rule-based representation of norms is not suitable to handle real data. Norms emerge from laws via an interpretation process. The methodology of Normative Multi-agent Systems (NorMas) by prof. Boella and prof. van der Torre has been conceived to overcome these limits. Nevertheless, the current formalization of NorMas features two main limitations.
Firstly, its models are based on deontic logic such as input/output logic. Deontic logic is typically propositional, i.e. its basic components are propositions connected by modal operators. A proposition basically refers to a whole sentence. On the other hand, natural language semantics includes a wide range of fine-grained intra-sentence linguistic phenomena: named entities, scope-sensitive operators, etc. It is then necessary to move beyond the propositional level, i.e. to enhance the expressivity of NorMas fit to formalize the meaning of the phrases constituting the sentences (noun phrases, verbal phrases, named entities, etc.).
Secondly, NorMas has never been implemented and tested on real legal text. Currently, NorMas is only a promising logical theory, but it is time to see how it behaves on real data, in order to make it suitable for commercial applications.
Drawing from my past experience in natural language semantics, parsing, and corpora building, I propose a project for extending NorMas in that sense, leading to ProLeMAS: (Processing Legal language in normative Multi-Agent Systems), a new logic for normative reasoning in multi-agent systems. In particular, the present project aims at (1) filling the gap between the current formalization of NorMas and the richness of natural language semantics (2) Implementing a pipeline from legal text to ProLeMAS formulae, passing through parsing and reasoning.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences knowledge engineering ontology
- natural sciences computer and information sciences computer security data protection
- natural sciences computer and information sciences computer security cryptography
- social sciences law
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
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.
-
H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
See all projects funded under this programme -
H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
See all projects funded under this programme
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.
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.
MSCA-IF-EF-ST - Standard EF
See all projects funded under this funding scheme
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.
(opens in new window) H2020-MSCA-IF-2014
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
4365 ESCH-SUR-ALZETTE
Luxembourg
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.