During the workshop Automated Reasoning with Legal Entities (AuReLeE) you will participate in a series of lectures by international researchers in the areas of computational logic, automated reasoning and legal informatics with the aim to investigate effective and general means for the automation of normative reasoning processes based on legal knowledge bases.
Automated reasoning systems are symbolic AI systems for autonomously assessing the correctness of formally specified information. Such tools are provided by the user with the information to be assessed in some textual representation, and subsequently search for a formal justification of a given claim without additional guidance from the outside. Application areas include computer-assisted mathematics, knowledge discovery and processing, computer linguistics, semantic web, and software and hardware verification. As an example of such systems, so-called SAT and SMT solvers are highly successful in both research and industry, and became standard tools for various software and hardware production chains.
In legal informatics, computer systems are used for assisting professionals and public regulators for, e.g., structuring and assessing normative contents, and for improved search in large knowledge bases. In legal reasoning, a sub-field of legal informatics, a current challenge is to design and implement reasoning technology for assisting legal drafting, for conducting (semi-)automated compliance checks, and further practically relevant applications. Usually, a first step in this process is the formalization of normative structures in knowledge bases. However, the practical utilization of these valuable knowledge bases is then often quite limited. This is, to a large extent, due to the lack of suitable computational methods that would allow the assessment and mechanized utilization of the normative information compiled by these knowledge bases.
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