title: Law-making and cognitive sciences
metadata.name: dc.contributor.author
metadata.value: Boldyrev, Vladimir A.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2024-06-04T21:26:40Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2024-06-04T21:26:40Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2024-03
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Boldyrev V. A. 2024. Law-making and cognitive sciences. Pravovedenie 68 (1): 97–112. https://doi.org/10.21638/spbu25.2024.105 (In Russian)
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu25.2024.105
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/45534
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The purpose of the study is to show how cognitive sciences can and should change the paradigm
  of lawmaking in conditions of a saturated with contradictory data and unstable information
  environment. The prospects for studying the cognitive activity of lawyers are outlined on the
  basis of methods characteristic of cognitive sciences, as well as the patterns established in
  these sciences. Interdisciplinary studies of cognitive processes can help identify the acceptable
  frequency of law changes, which makes it possible to use it as a tool for regulating human
  behavior, as well as determining periods of time sufficient to develop balanced decisions that
  have the property of normativity. Interdisciplinary studies of the brain can help determine the
  reaction of the human psyche to the novelty factor in the texts of normative legal acts, establish age-related changes in the understanding and assimilation of new normative guidelines
  that occur due to changes in brain neuroplasticity. Interdisciplinary studies of language should
  contribute to the development of algorithms for linking natural and artificial languages, the development
  of measures to improve the texts of laws written for humans, allowing them to be
  adapted to a computer, they can offer a technique for using artificial intelligence to check the
  texts of laws prepared by people. Cognitive modeling will make it possible to establish the possibility
  and expediency of using the mode of multimodal submission of regulatory information
  (combining text and graphics), to establish and reduce the negative impact on the quality of
  legal decisions of the digital environment in which they are made, to determine the positive and
  negative consequences of the widespread use of reference legal systems. It is concluded that
  studies of the patterns of human cognitive activity on the basis of legal material and the study
  of the reactions of the human psyche to changes in normative attitudes should be carried out
  mainly by specialists in the field of cognitive sciences. The development of draft normative legal
  acts should be carried out by teams of lawyers, taking into account data from other areas of
  knowledge, including the achievements of cognitive sciences.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Pravovedenie;Volume 68; Issue 1
metadata.lang: -
metadata.name: dc.subject
metadata.value: jurisprudence
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: lawmaking
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: cognitive science
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: cognitive psychology
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: cognitive linguistics
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: neuroimaging
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: machine-readable document
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Law-making and cognitive sciences
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 05.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/45534/1/05.pdf
resources.format: Adobe PDF
resources.size: 703 kB